[
  {
    "path": ".coveragerc",
    "content": "[run]\nomit =\n     ./src/aup/Proposer/spearmint/*\n     ./src/aup/Proposer/hyperopt/*\n     ./src/aup/Proposer/eas/*\n     ./src/aup/Proposer/hpbandster/*\n     ./src/aup/Proposer/EASProposer.py\n     ./src/aup/setupdb/reset.py\n     ./src/aup/visualize.py\n     ./src/aup/EE/Resource/AWSResourceManager.py\n     ./src/aup/init.py\n     */__main__.py\n     */__init__.py\n     ./src/aup/profiler/*\n     ./src/aup/RestAPI/*\n     ./src/aup/dashboard/*\n     ./src/aup/Proposer/SpearmintProposer.py\n     ./src/aup/Proposer/BOHBProposer.py\n     ./src/aup/compression/torch/pruning/*\n\n[report]\nexclude_lines =\n    pragma: no cover\n    flags\n    def main\n    if __name__ == \"__main__\"\n    @click\n    raise NotImplementedError\n\n"
  },
  {
    "path": ".dockerignore",
    "content": "docs\nExamples/2d*\nExamples/dlconvert_examples/Convert*\nExamples/dlconvert_examples/Tested*\nExamples/demo\nExamples/cai_eas\nExamples/decorator_example\nExamples/hpo_mnist\nExamples/job*\nExamples/profiler*\nExamples/tf*\nbuild\ndist"
  },
  {
    "path": ".gitignore",
    "content": "Examples/demo/auto.py\ntestenv/\n.aup/\n.idea/\n*~\n*.pkl\ntests/EE/jobs/\ntests/data/jobs/\ntests/EE/Resource/data\n.vscode/\nanalysis.html\nR-src/*.tar.gz\nR-src/R-src.Rproj\n\n# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n*.so\n\n# Distribution / packaging\n.Python\nbuild/\ndevelop-eggs/\ndist/\ndownloads/\neggs/\n.eggs/\nlib64/\nparts/\nsdist/\nvar/\nwheels/\n*.egg-info/\n.installed.cfg\n*.egg\nMANIFEST\n\n# PyInstaller\n#  Usually these files are written by a python script from a template\n#  before PyInstaller builds the exe, so as to inject date/other infos into it.\n*.manifest\n*.spec\n\n# Installer logs\npip-log.txt\npip-delete-this-directory.txt\n\n# Unit test / coverage reports\nhtmlcov/\n.tox/\n.coverage\n.coverage.*\n.cache\nnosetests.xml\ncoverage.xml\n*.cover\n.hypothesis/\n.pytest_cache/\n\n# Translations\n*.mo\n*.pot\n\n# Django stuff:\n*.log\nlocal_settings.py\ndb.sqlite3\n\n# Flask stuff:\ninstance/\n.webassets-cache\n\n# Scrapy stuff:\n.scrapy\n\n# Sphinx documentation\ndocs/_build/\n\n# PyBuilder\ntarget/\n\n# Jupyter Notebook\n.ipynb_checkpoints\n\n# pyenv\n.python-version\n\n# celery beat schedule file\ncelerybeat-schedule\n\n# SageMath parsed files\n*.sage.py\n\n# Environments\n.env\n.venv\nenv/\nvenv/\nENV/\nenv.bak/\nvenv.bak/\n\n# Spyder project settings\n.spyderproject\n.spyproject\n\n# Rope project settings\n.ropeproject\n\n# mkdocs documentation\n/site\n\n# mypy\n.mypy_cache/\n\n# OS files\n.DS_Store\n.Rproj.user\n\nanalysis_test\njobs\ntests/mnist_compressed.pth\ndashboard_logs"
  },
  {
    "path": ".travis.yml",
    "content": "git:\n  depth: false\n  quiet: true\nbranches: \n  only:\n  - master\n  - release\nlanguage: python\npython:\n- '3.7'\nenv:\n  global:\n  - secure: 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\n  jobs:\n  - TF2TEST=1\ninstall:\n- pip install -r requirements.txt\n- pip install -r tests/dlconvert/dlconvert_requirements.txt \n- python setup.py install\n- docs/prepare.sh\n- tests/dlconvert/data/prepare.sh\nscript:\n- pytest --cov-report=xml --cov=src/aup tests\nafter_success:\n- codecov\ndeploy:\n  provider: pypi\n  user: \"__token__\"\n  password: $PYPITOKEN\n  on:\n    branch: release\n  distributions: \"sdist bdist_wheel\"\n  skip_existing: true\nafter_deploy:\n- \"./publish.sh\"\n"
  },
  {
    "path": "CODE_OF_CONDUCT.md",
    "content": "# Contributor Covenant Code of Conduct\n\n## Our Pledge\n\nIn the interest of fostering an open and welcoming environment, we as\ncontributors and maintainers pledge to making participation in our project and\nour community a harassment-free experience for everyone, regardless of age, body\nsize, disability, ethnicity, sex characteristics, gender identity and expression,\nlevel of experience, education, socio-economic status, nationality, personal\nappearance, race, religion, or sexual identity and orientation.\n\n## Our Standards\n\nExamples of behavior that contributes to creating a positive environment\ninclude:\n\n* Using welcoming and inclusive language\n* Being respectful of differing viewpoints and experiences\n* Gracefully accepting constructive criticism\n* Focusing on what is best for the community\n* Showing empathy towards other community members\n\nExamples of unacceptable behavior by participants include:\n\n* The use of sexualized language or imagery and unwelcome sexual attention or\n advances\n* Trolling, insulting/derogatory comments, and personal or political attacks\n* Public or private harassment\n* Publishing others' private information, such as a physical or electronic\n address, without explicit permission\n* Other conduct which could reasonably be considered inappropriate in a\n professional setting\n\n## Our Responsibilities\n\nProject maintainers are responsible for clarifying the standards of acceptable\nbehavior and are expected to take appropriate and fair corrective action in\nresponse to any instances of unacceptable behavior.\n\nProject maintainers have the right and responsibility to remove, edit, or\nreject comments, commits, code, wiki edits, issues, and other contributions\nthat are not aligned to this Code of Conduct, or to ban temporarily or\npermanently any contributor for other behaviors that they deem inappropriate,\nthreatening, offensive, or harmful.\n\n## Scope\n\nThis Code of Conduct applies both within project spaces and in public spaces\nwhen an individual is representing the project or its community. Examples of\nrepresenting a project or community include using an official project e-mail\naddress, posting via an official social media account, or acting as an appointed\nrepresentative at an online or offline event. Representation of a project may be\nfurther defined and clarified by project maintainers.\n\n## Enforcement\n\nInstances of abusive, harassing, or otherwise unacceptable behavior may be\nreported by contacting the project team at auptimizer@lge.com. All\ncomplaints will be reviewed and investigated and will result in a response that\nis deemed necessary and appropriate to the circumstances. The project team is\nobligated to maintain confidentiality with regard to the reporter of an incident.\nFurther details of specific enforcement policies may be posted separately.\n\nProject maintainers who do not follow or enforce the Code of Conduct in good\nfaith may face temporary or permanent repercussions as determined by other\nmembers of the project's leadership.\n\n## Attribution\n\nThis Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,\navailable at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html\n\n[homepage]: https://www.contributor-covenant.org\n\nFor answers to common questions about this code of conduct, see\nhttps://www.contributor-covenant.org/faq\n"
  },
  {
    "path": "Examples/.gitignore",
    "content": "jobs/\nspearmint/\n"
  },
  {
    "path": "Examples/2dfunc_diff_mult_res/README.md",
    "content": "# Return multiple results\n\nThis feature allows the user to save and track multiple secondary results along with the primary result for the HPO experiment. \nAuptimizer still uses the primary result for the HPO algorithms, but saves the secondary results in the database under the table `multiple_results`.\n\n## Usage \n\nThe feature can be used by adding the following parameter to the experiment configuration file:\n\n    \"resource_args\": {\n      \"multi_res_labels\": [\"x\", \"y\", …]\n    }\n    \nIn the above example, {\"x\", \"y\", …} are the secondary parameters the user wants to track and record. \nThe user script would then return the results as a list including the primary result 'res' along with the secondary parameters as follows:\n\n    @aup_args\n    def HPO():\n        res = calculate_results()\n        return [res, x, y, …]\n        \nIn the above example 'res' is the primary result which is always the first index of the returned array when using multiple results, and is used by HPO algorithm.\nThe other indices are matched directly with the array provided in the `multi_res_labels` parameter. \nHence, The length of the returned array from HPO script is '1 + length of multi_res_labels' parameter.\n\n\n## Example code \n\n    python -m aup.setup cpu.ini\n\tpython -m aup exp_cpu.json\n\nThe code will create the job configuration file, interactively ask you to run the script, and ask for the result from your training code.\ne.g. \n\n    # Job running path is Examples/2dfunc_diff_mult_res\n    # Config is at Examples/2dfunc_diff_mult_res/jobs/452.json\n    Job command is:\n    Examples/2dfunc_diff_mult_res/rosenbrock_hpo.py\n    Return results:\n\nThen you should run the command in another terminal like:\n    \n    ./rosenbrock_hpo.py ./jobs/452.json\n    \nYou will see something like:\n \n    #Auptimizer:232.78278278806914,-0.8297799529742598,2.2032449344215808\n\nThe first result is the main result, the next are \"x\" and \"y\" defined by multi_res_labels.\n \nOnce you paste the result back to **Auptimizer**, it will ask you for the next one.\n\n"
  },
  {
    "path": "Examples/2dfunc_diff_mult_res/cpu.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=./.aup\n# Temp folder\nTMP_FOLDER=./aup_tmp\n# SQL engine\nSQL_ENGINE=sqlite\n"
  },
  {
    "path": "Examples/2dfunc_diff_mult_res/exp_cpu.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_mult_res/exp_cpu.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"resource_args\": {\n    \"multi_res_labels\": [\"x\", \"y\"]\n  }\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_mult_res/rosenbrock_hpo.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function for HPO and aup\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport sys\n\"\"\" # ver 1.0 - modify existing code\nfrom aup import BasicConfig, print_result\n\ndef rosenbrock(conf, a=1, b=100):\n    x = conf.x\n    y = conf.y\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    val = rosenbrock(config)\n    print_result(val)\n\"\"\"\n\nfrom aup import aup_args\n\n@aup_args\ndef rosenbrock(x, y, a=1, b=100):\n    return [(a-x)*(a-x) + b*(y-x*x)*(y-x*x), x, y]\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    \n    rosenbrock(sys.argv[1])\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/.gitignore",
    "content": "spearmint/\nrosenbrock_auto.py\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/History.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\\n\",\n    \"import matplotlib.pylab as plt\\n\",\n    \"from aup.ET.Connector.SQLiteConnector import SQLiteConnector\\n\",\n    \"import json\\n\",\n    \"%matplotlib inline\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# connect to the result\\n\",\n    \"sql = SQLiteConnector(\\\"./.aup/sqlite3.db\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[1, 2, 3, 4]\"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Get all experiments (this run is for iris using hyperopt, sequence, spearmint, random)\\n\",\n    \"eids = sql.get_all_experiment()\\n\",\n    \"eids\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(2,\\n\",\n       \" 1,\\n\",\n       \" 1564088286,\\n\",\n       \" 1564088287,\\n\",\n       \" '{\\\"proposer\\\": \\\"random\\\", \\\"n_samples\\\": 10, \\\"random_seed\\\": 1, \\\"script\\\": \\\"rosenbrock_hpo.py\\\", \\\"parameter_config\\\": [{\\\"name\\\": \\\"x\\\", \\\"range\\\": [-5, 5], \\\"type\\\": \\\"float\\\"}, {\\\"name\\\": \\\"y\\\", \\\"range\\\": [-5, 5], \\\"type\\\": \\\"float\\\"}], \\\"resource\\\": \\\"cpu\\\", \\\"n_parallel\\\": 2, \\\"target\\\": \\\"min\\\", \\\"workingdir\\\": \\\"/Users/jason.liu/PycharmProjects/CTE/Examples/2dfunc_diff_opt\\\"}')\"\n      ]\n     },\n     \"execution_count\": 4,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Show details in one experiment\\n\",\n    \"sql.cursor.execute(\\\"SELECT * FROM experiment where eid = ?\\\", (eids[1],))\\n\",\n    \"sql.cursor.fetchone()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>jid</th>\\n\",\n       \"      <th>score</th>\\n\",\n       \"      <th>eid</th>\\n\",\n       \"      <th>rid</th>\\n\",\n       \"      <th>start_time</th>\\n\",\n       \"      <th>end_time</th>\\n\",\n       \"      <th>job_config</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>90036.000000</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>1564088282</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': -5, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>40519.252553</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1564088282</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': -3.888888888888889, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>16184.062795</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1564088282</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': -2.7777777777777777, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>6056.493827</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>1564088282</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': -1.6666666666666665, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>2820.587715</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': -0.5555555555555554, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>2818.365493</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': 0.5555555555555558, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>6049.827160</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': 1.666666666666667, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>16172.951684</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': 2.777777777777778, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>9</td>\\n\",\n       \"      <td>40503.696997</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': 3.8888888888888893, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>90016.000000</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': 5.0, 'y': -5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>83492.790123</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': -5, 'y': -3.888888888888889}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>36170.830056</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>1564088283</td>\\n\",\n       \"      <td>{'x': -3.888888888888889, 'y': -3.888888888888...</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      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<td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': 5.0, 'y': 3.8888888888888893}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>90</th>\\n\",\n       \"      <td>91</td>\\n\",\n       \"      <td>40036.000000</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': -5, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>91</th>\\n\",\n       \"      <td>92</td>\\n\",\n       \"      <td>10272.338973</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': -3.888888888888889, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>92</th>\\n\",\n       \"      <td>93</td>\\n\",\n       \"      <td>751.964030</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': -2.7777777777777777, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>93</th>\\n\",\n       \"      <td>94</td>\\n\",\n       \"      <td>500.938272</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': -1.6666666666666665, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>94</th>\\n\",\n       \"      <td>95</td>\\n\",\n       \"      <td>2203.303765</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': -0.5555555555555554, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>95</th>\\n\",\n       \"      <td>96</td>\\n\",\n       \"      <td>2201.081542</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': 0.5555555555555558, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>96</th>\\n\",\n       \"      <td>97</td>\\n\",\n       \"      <td>494.271605</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': 1.666666666666667, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>97</th>\\n\",\n       \"      <td>98</td>\\n\",\n       \"      <td>740.852919</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': 2.777777777777778, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>98</th>\\n\",\n       \"      <td>99</td>\\n\",\n       \"      <td>10256.783417</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': 3.8888888888888893, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>99</th>\\n\",\n       \"      <td>100</td>\\n\",\n       \"      <td>40016.000000</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>1564088285</td>\\n\",\n       \"      <td>{'x': 5.0, 'y': 5.0}</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>100 rows × 7 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"    jid         score  eid  rid  start_time    end_time  \\\\\\n\",\n       \"0     1  90036.000000    1    3  1564088282  1564088283   \\n\",\n       \"1     2  40519.252553    1    2  1564088282  1564088283   \\n\",\n       \"2     3  16184.062795    1    1  1564088282  1564088283   \\n\",\n       \"3     4   6056.493827    1    4  1564088282  1564088283   \\n\",\n       \"4     5   2820.587715    1    3  1564088283  1564088283   \\n\",\n       \"5     6   2818.365493    1    2  1564088283  1564088283   \\n\",\n       \"6     7   6049.827160    1    1  1564088283  1564088283   \\n\",\n       \"7     8  16172.951684    1    4  1564088283  1564088283   \\n\",\n       \"8     9  40503.696997    1    3  1564088283  1564088283   \\n\",\n       \"9    10  90016.000000    1    2  1564088283  1564088283   \\n\",\n       \"10   11  83492.790123    1    1  1564088283  1564088283   \\n\",\n       \"11   12  36170.830056    1    4  1564088283  1564088283   \\n\",\n       \"12   13  13481.730834    1    3  1564088283  1564088283   \\n\",\n       \"13   14   4451.555556    1    2  1564088283  1564088283   \\n\",\n       \"14   15   1764.346289    1    1  1564088283  1564088283   \\n\",\n       \"15   16   1762.124066    1    4  1564088283  1564088283   \\n\",\n       \"16   17   4444.888889    1    3  1564088283  1564088283   \\n\",\n       \"17   18  13470.619723    1    2  1564088283  1564088283   \\n\",\n       \"18   19  36155.274501    1    1  1564088283  1564088283   \\n\",\n       \"19   20  83472.790123    1    4  1564088283  1564088283   \\n\",\n       \"20   21  77196.493827    1    3  1564088283  1564088283   \\n\",\n       \"21   22  32069.321140    1    2  1564088283  1564088283   \\n\",\n       \"22   23  11026.312452    1    1  1564088283  1564088283   \\n\",\n       \"23   24   3093.530864    1    4  1564088283  1564088283   \\n\",\n       \"24   25    955.018442    1    3  1564088283  1564088283   \\n\",\n       \"25   26    952.796220    1    2  1564088283  1564088283   \\n\",\n       \"26   27   3086.864198    1    1  1564088283  1564088283   \\n\",\n       \"27   28  11015.201341    1    4  1564088283  1564088283   \\n\",\n       \"28   29  32053.765585    1    3  1564088283  1564088283   \\n\",\n       \"29   30  77176.493827    1    2  1564088283  1564088283   \\n\",\n       \"..  ...           ...  ...  ...         ...         ...   \\n\",\n       \"70   71  49418.716049    1    1  1564088284  1564088284   \\n\",\n       \"71   72  15265.480262    1    4  1564088284  1564088284   \\n\",\n       \"72   73   2452.924249    1    3  1564088284  1564088284   \\n\",\n       \"73   74      7.111111    1    2  1564088284  1564088284   \\n\",\n       \"74   75    612.082914    1    1  1564088284  1564088284   \\n\",\n       \"75   76    609.860692    1    4  1564088284  1564088284   \\n\",\n       \"76   77      0.444444    1    3  1564088284  1564088284   \\n\",\n       \"77   78   2441.813138    1    2  1564088284  1564088284   \\n\",\n       \"78   79  15249.924707    1    1  1564088284  1564088284   \\n\",\n       \"79   80  49398.716049    1    4  1564088284  1564088284   \\n\",\n       \"80   81  44603.901235    1    3  1564088284  1564088285   \\n\",\n       \"81   82  12645.452827    1    2  1564088284  1564088285   \\n\",\n       \"82   83   1478.987349    1    1  1564088284  1564088285   \\n\",\n       \"83   84    130.567901    1    4  1564088284  1564088285   \\n\",\n       \"84   85   1284.236549    1    3  1564088285  1564088285   \\n\",\n       \"85   86   1282.014327    1    2  1564088285  1564088285   \\n\",\n       \"86   87    123.901235    1    1  1564088285  1564088285   \\n\",\n       \"87   88   1467.876238    1    4  1564088285  1564088285   \\n\",\n       \"88   89  12629.897272    1    3  1564088285  1564088285   \\n\",\n       \"89   90  44583.901235    1    2  1564088285  1564088285   \\n\",\n       \"90   91  40036.000000    1    1  1564088285  1564088285   \\n\",\n       \"91   92  10272.338973    1    4  1564088285  1564088285   \\n\",\n       \"92   93    751.964030    1    3  1564088285  1564088285   \\n\",\n       \"93   94    500.938272    1    2  1564088285  1564088285   \\n\",\n       \"94   95   2203.303765    1    1  1564088285  1564088285   \\n\",\n       \"95   96   2201.081542    1    4  1564088285  1564088285   \\n\",\n       \"96   97    494.271605    1    3  1564088285  1564088285   \\n\",\n       \"97   98    740.852919    1    2  1564088285  1564088285   \\n\",\n       \"98   99  10256.783417    1    1  1564088285  1564088285   \\n\",\n       \"99  100  40016.000000    1    4  1564088285  1564088285   \\n\",\n       \"\\n\",\n       \"                                           job_config  \\n\",\n       \"0                                  {'x': -5, 'y': -5}  \\n\",\n       \"1                  {'x': -3.888888888888889, 'y': -5}  \\n\",\n       \"2                 {'x': -2.7777777777777777, 'y': -5}  \\n\",\n       \"3                 {'x': -1.6666666666666665, 'y': -5}  \\n\",\n       \"4                 {'x': -0.5555555555555554, 'y': -5}  \\n\",\n       \"5                  {'x': 0.5555555555555558, 'y': -5}  \\n\",\n       \"6                   {'x': 1.666666666666667, 'y': -5}  \\n\",\n       \"7                   {'x': 2.777777777777778, 'y': -5}  \\n\",\n       \"8                  {'x': 3.8888888888888893, 'y': -5}  \\n\",\n       \"9                                 {'x': 5.0, 'y': -5}  \\n\",\n       \"10                 {'x': -5, 'y': -3.888888888888889}  \\n\",\n       \"11  {'x': -3.888888888888889, 'y': -3.888888888888...  \\n\",\n       \"12  {'x': -2.7777777777777777, 'y': -3.88888888888...  \\n\",\n       \"13  {'x': -1.6666666666666665, 'y': -3.88888888888...  \\n\",\n       \"14  {'x': -0.5555555555555554, 'y': -3.88888888888...  \\n\",\n       \"15  {'x': 0.5555555555555558, 'y': -3.888888888888...  \\n\",\n       \"16  {'x': 1.666666666666667, 'y': -3.888888888888889}  \\n\",\n       \"17  {'x': 2.777777777777778, 'y': -3.888888888888889}  \\n\",\n       \"18  {'x': 3.8888888888888893, 'y': -3.888888888888...  \\n\",\n       \"19                {'x': 5.0, 'y': -3.888888888888889}  \\n\",\n       \"20                {'x': -5, 'y': -2.7777777777777777}  \\n\",\n       \"21  {'x': -3.888888888888889, 'y': -2.777777777777...  \\n\",\n       \"22  {'x': -2.7777777777777777, 'y': -2.77777777777...  \\n\",\n       \"23  {'x': -1.6666666666666665, 'y': -2.77777777777...  \\n\",\n       \"24  {'x': -0.5555555555555554, 'y': -2.77777777777...  \\n\",\n       \"25  {'x': 0.5555555555555558, 'y': -2.777777777777...  \\n\",\n       \"26  {'x': 1.666666666666667, 'y': -2.7777777777777...  \\n\",\n       \"27  {'x': 2.777777777777778, 'y': -2.7777777777777...  \\n\",\n       \"28  {'x': 3.8888888888888893, 'y': -2.777777777777...  \\n\",\n       \"29               {'x': 5.0, 'y': -2.7777777777777777}  \\n\",\n       \"..                                                ...  \\n\",\n       \"70                  {'x': -5, 'y': 2.777777777777778}  \\n\",\n       \"71  {'x': -3.888888888888889, 'y': 2.777777777777778}  \\n\",\n       \"72  {'x': -2.7777777777777777, 'y': 2.777777777777...  \\n\",\n       \"73  {'x': -1.6666666666666665, 'y': 2.777777777777...  \\n\",\n       \"74  {'x': -0.5555555555555554, 'y': 2.777777777777...  \\n\",\n       \"75  {'x': 0.5555555555555558, 'y': 2.777777777777778}  \\n\",\n       \"76   {'x': 1.666666666666667, 'y': 2.777777777777778}  \\n\",\n       \"77   {'x': 2.777777777777778, 'y': 2.777777777777778}  \\n\",\n       \"78  {'x': 3.8888888888888893, 'y': 2.777777777777778}  \\n\",\n       \"79                 {'x': 5.0, 'y': 2.777777777777778}  \\n\",\n       \"80                 {'x': -5, 'y': 3.8888888888888893}  \\n\",\n       \"81  {'x': -3.888888888888889, 'y': 3.8888888888888...  \\n\",\n       \"82  {'x': -2.7777777777777777, 'y': 3.888888888888...  \\n\",\n       \"83  {'x': -1.6666666666666665, 'y': 3.888888888888...  \\n\",\n       \"84  {'x': -0.5555555555555554, 'y': 3.888888888888...  \\n\",\n       \"85  {'x': 0.5555555555555558, 'y': 3.8888888888888...  \\n\",\n       \"86  {'x': 1.666666666666667, 'y': 3.8888888888888893}  \\n\",\n       \"87  {'x': 2.777777777777778, 'y': 3.8888888888888893}  \\n\",\n       \"88  {'x': 3.8888888888888893, 'y': 3.8888888888888...  \\n\",\n       \"89                {'x': 5.0, 'y': 3.8888888888888893}  \\n\",\n       \"90                                {'x': -5, 'y': 5.0}  \\n\",\n       \"91                {'x': -3.888888888888889, 'y': 5.0}  \\n\",\n       \"92               {'x': -2.7777777777777777, 'y': 5.0}  \\n\",\n       \"93               {'x': -1.6666666666666665, 'y': 5.0}  \\n\",\n       \"94               {'x': -0.5555555555555554, 'y': 5.0}  \\n\",\n       \"95                {'x': 0.5555555555555558, 'y': 5.0}  \\n\",\n       \"96                 {'x': 1.666666666666667, 'y': 5.0}  \\n\",\n       \"97                 {'x': 2.777777777777778, 'y': 5.0}  \\n\",\n       \"98                {'x': 3.8888888888888893, 'y': 5.0}  \\n\",\n       \"99                               {'x': 5.0, 'y': 5.0}  \\n\",\n       \"\\n\",\n       \"[100 rows x 7 columns]\"\n      ]\n     },\n     \"execution_count\": 5,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# show details in job history for one experiment\\n\",\n    \"history = sql.get_all_history(1)\\n\",\n    \"history = pd.DataFrame(history)\\n\",\n    \"history.columns = ['jid', 'score','eid','rid','start_time','end_time','job_config']\\n\",\n    \"history\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 1152x576 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.figure(figsize=(16,8))\\n\",\n    \"plt.subplot(121)\\n\",\n    \"for i in eids:\\n\",\n    \"    history = sql.get_all_history(i)\\n\",\n    \"    history = pd.DataFrame(history)\\n\",\n    \"    history.columns = ['jid', 'score','eid','rid','start_time','end_time','job_config']\\n\",\n    \"    sql.cursor.execute(\\\"SELECT * FROM experiment where eid = ?\\\", (i,))\\n\",\n    \"    label = json.loads(sql.cursor.fetchone()[4])['proposer']\\n\",\n    \"    plt.plot(history.score, label=label)\\n\",\n    \"plt.legend()\\n\",\n    \"plt.xlabel(\\\"Iteration\\\")\\n\",\n    \"plt.ylabel(\\\"Accuracy\\\")\\n\",\n    \"plt.yscale(\\\"log\\\")\\n\",\n    \"\\n\",\n    \"plt.subplot(122)\\n\",\n    \"for i in eids:\\n\",\n    \"    history = sql.get_all_history(i)\\n\",\n    \"    history = pd.DataFrame(history)\\n\",\n    \"    history.columns = ['jid', 'score','eid','rid','start_time','end_time','job_config']\\n\",\n    \"    sql.cursor.execute(\\\"SELECT * FROM experiment where eid = ?\\\", (i,))\\n\",\n    \"    label = json.loads(sql.cursor.fetchone()[4])['proposer']\\n\",\n    \"    plt.plot(history.score.cummin(), label=label)\\n\",\n    \"plt.legend()\\n\",\n    \"plt.xlabel(\\\"Iteration\\\")\\n\",\n    \"plt.ylabel(\\\"Best Accuracy so far\\\")\\n\",\n    \"plt.yscale(\\\"log\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"sql.close()\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.7.3\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/README.md",
    "content": "# Rosenbrock demo\n\n## Setup\n\n    python -m aup.setup\n\nTo setup different resource configuration, see [resource example](../2dfunc_diff_res/README.md).\n\n## Experiment\n\n    python -m aup experiment_sequence.json --log warn\n    python -m aup experiment_random.json\n    python -m aup experiment_spearmint.json\n    python -m aup experiment_hyperopt.json\n\nResults are presented in [History](History.ipynb)\n\n## Experiment Auto-convert\n\nTo convert the original `rosenbrock_origin.py` for *Auptimizer*, users can use\n\n    python -m aup.convert rosenbrock_origin.py experiment_auto.json rosenbrock\n\nIt will create `rosenbrock_auto.py` for user to use for *Auptimizer* experiment.\n\n## Reset\n\nTo clean the database, use \n\n    python -m aup.setupdb.reset .aup/env.ini\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/experiment_auto.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_opt/experiment_auto.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_auto.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 1,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/experiment_bohb.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_opt/experiment_bohb.json\",\n  \"script\": \"rosenbrock_hpo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 5,\n  \"target\": \"min\",\n  \"workingdir\": \"./\",\n  \"proposer\": \"bohb\",\n    \"n_iterations\": 3,\n  \"min_points_in_model\": \"\",\n  \"top_n_percent\": 15,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 9,\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        1\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        0,\n        1\n      ],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/experiment_hyperband.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_opt/experiment_hyperband.json\",\n  \"proposer\": \"hyperband\",\n  \"script\": \"rosenbrock_hpo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 1,\n  \"target\":\"max\",\n  \"max_iter\": 3,\n  \"engine\": \"random\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-5, 5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [-5,5],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/experiment_hyperopt.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_opt/experiment_hyperopt.json\",\n  \"proposer\": \"hyperopt\",\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"engine\":\"tpe\",\n  \"n_samples\": 100,\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/experiment_random.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_opt/experiment_random.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/experiment_sequence.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_opt/experiment_sequence.json\",\n  \"proposer\": \"sequence\",\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\",\n      \"n\": 10\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\",\n      \"n\": 10\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/experiment_spearmint.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_opt/experiment_spearmint.json\",\n  \"proposer\": \"spearmint\",\n  \"n_samples\": 100,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"engine\":\"GPEIChooser\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\",\n      \"size\": 1\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\",\n      \"size\": 1\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/rosenbrock_hpo.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function for HPO and aup\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport sys\n\"\"\" # ver 1.0 - modify existing code\nfrom aup import BasicConfig, print_result\n\ndef rosenbrock(conf, a=1, b=100):\n    x = conf.x\n    y = conf.y\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    val = rosenbrock(config)\n    print_result(val)\n\"\"\"\n\nfrom aup import aup_args\n\n@aup_args\ndef rosenbrock(x, y, a=1, b=100):\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    \n    rosenbrock(sys.argv[1])\n"
  },
  {
    "path": "Examples/2dfunc_diff_opt/rosenbrock_origin.py",
    "content": "\"\"\"\nDemonstration code for Rosenbrock function\n==========================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\n\ndef rosenbrock(x, y, a=1, b=100):\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/README.md",
    "content": "# Rosenbrock demo for different resources\n\n## CPU\n\n    python -m aup.setup cpu.ini\n\tpython -m aup exp_cpu.json\n\n## GPU\n\nUsing a file contains the GPU ID per line will create GPU resources accordingly\n\n\tpython -m aup.setup cpu.ini --gpu gpu.txt --overwrite\n\tpython -m aup exp_gpu.json\n\t\n## multi-node\n\nFor multi node environment, first set up the ssh key (see [here](https://help.ubuntu.com/community/SSH/OpenSSH/Keys) as example), then either use IP for node, or use node name with IP in `/etc/hosts` file.  In `node.txt`, each line contains `<username>:<nodename/IP>[:port]`, where port number is optional (default 22).\n\n\tpython -m aup.setup cpu.ini --node node.txt --overwrite\n\tpython -m aup exp_node.json\n\t\nAlso, it is important to add `workingdir` for remote execution.\n\n## Passive mode\n\nPassive mode is used for debugging purpose.  It helps users to run training code manually and check potential problem in\nthe training code.\n\n    python -m aup experiment_passive.json\n\nThe code will create the job configuration file, interactively ask you to run the script, and ask for the result from your training code.\ne.g. \n\n    # Job running path is Examples/2dfunc_diff_res\n    # Config is at Examples/2dfunc_diff_res/jobs/452.json\n    Job command is:\n    Examples/2dfunc_diff_res/rosenbrock_hpo.py\n    Return results:\n\nThen you should run the command in another terminal like:\n    \n    ./rosenbrock_hpo.py ./jobs/452.json\n    \nYou will see something like:\n \n    #Auptimizer:232.78278278806914\n    \nOnce you paste the result back to **Auptimizer**, it will ask you for the next one.\n\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/aws.txt",
    "content": "AWS_EC2_ID SSH_KEY\nAWS_EC2_ID SSH_KEY"
  },
  {
    "path": "Examples/2dfunc_diff_res/cpu.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=./.aup\n# Temp folder\nTMP_FOLDER=./aup_tmp\n# SQL engine\nSQL_ENGINE=sqlite\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/env_local_template.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=./.aup\n# Temp folder\nTMP_FOLDER=./aup_tmp\n# SQL engine\nSQL_ENGINE=sqlite\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/env_user_template.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=~/.aup\n# Temp folder\nTMP_FOLDER=/tmp/aup\n# SQL engine\nSQL_ENGINE=sqlite"
  },
  {
    "path": "Examples/2dfunc_diff_res/exp_aws.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_res/exp_aws.json\",\n    \"workingdir\": \"/home/ubuntu/\",\n    \"proposer\": \"random\",\n    \"n_samples\": 10,\n    \"resource_args\": {\n\t\t\"shutdown\":true,\n\t\t\"connection_retry\": 5\n    },\n\t\"runtime_args\": {\n\t\t\"prescript\": \"source .profile\",\n\t\t\"postscript\": \"echo 'DONE'\"\n\t},\n    \"random_seed\": 1,\n    \"script\": \"./rosenbrock_hpo.py\",\n    \"parameter_config\": [\n\t{\n\t    \"name\": \"x\",\n\t    \"range\": [\n\t\t-5,\n\t\t5\n\t    ],\n\t    \"type\": \"float\"\n\t},\n\t{\n\t    \"name\": \"y\",\n\t    \"range\": [\n\t\t-5,\n\t\t5\n\t    ],\n\t    \"type\": \"float\"\n\t}\n    ],\n    \"resource\": \"aws\",\n    \"n_parallel\": 1,\n    \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/exp_cpu.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_res/exp_cpu.json\",\n  \"proposer\": \"sequence\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/exp_gpu.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_res/exp_gpu.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"gpu\",\n  \"n_parallel\": 2,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/exp_node.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_res/exp_node.json\",\n  \"workingdir\": \"/home/ubuntu/aup_demo\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"runtime_args\": {\n    \"prescript\": \"export CUDA_VISIBLE_DEVICES=-1\",\n    \"postscript\": \"echo $CUDA_VISIBLE_DEVICES\",\n    \"overwrite\": true\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"node\",\n  \"n_parallel\": 2,\n  \"target\":\"min\",\n  \"resource_args\": {\n    \"max_retries\": 2,\n    \"reconn_wait_time\": 3\n  }\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/exp_node_async.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_res/exp_node_async.json\",\n  \"workingdir\": \"/home/paul/aup_demo\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"runtime_args\": {\n    \"prescript\": \"export CUDA_VISIBLE_DEVICES=-1\",\n    \"postscript\": \"echo $CUDA_VISIBLE_DEVICES\",\n    \"overwrite\": true\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"node\",\n  \"n_parallel\": 2,\n  \"target\":\"min\",\n  \"resource_args\": {\n    \"max_retries\": 2,\n    \"reconn_wait_time\": 3,\n    \"async_run\": true,\n    \"async_reconnect\": 1,\n    \"async_timeout\": 100\n  }\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/exp_passive.json",
    "content": "{\n  \"name\": \"./2dfunc_diff_res/exp_passive.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 5,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"passive\",\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/gpu.txt",
    "content": "0\n1\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/node.txt",
    "content": "jasonliu@ubuntu1\njasonliu@ubuntu2\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/plainGPU.txt",
    "content": "0"
  },
  {
    "path": "Examples/2dfunc_diff_res/rosenbrock_hpo.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function for HPO and aup\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport sys\n\"\"\" # ver 1.0 - modify existing code\nfrom aup import BasicConfig, print_result\n\ndef rosenbrock(conf, a=1, b=100):\n    x = conf.x\n    y = conf.y\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    val = rosenbrock(config)\n    print_result(val)\n\"\"\"\n\nfrom aup import aup_args\n\n@aup_args\ndef rosenbrock(x, y, a=1, b=100):\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    \n    rosenbrock(sys.argv[1])\n"
  },
  {
    "path": "Examples/2dfunc_diff_res/singleGPU.txt",
    "content": "0\n0"
  },
  {
    "path": "Examples/cai_eas/.gitignore",
    "content": "net_pool\narch_search\n\n\n## Core latex/pdflatex auxiliary files:\n*.aux\n*.lof\n*.log\n*.lot\n*.fls\n*.out\n*.toc\n\n## Intermediate documents:\n*.dvi\n*-converted-to.*\n# these rules might exclude image files for figures etc.\n# *.ps\n# *.eps\n# *.pdf\n/Datasets\n\n## Bibliography auxiliary files (bibtex/biblatex/biber):\n*.bbl\n*.bcf\n*.blg\n*-blx.aux\n*-blx.bib\n*.brf\n*.run.xml\n\n## Build tool auxiliary files:\n*.fdb_latexmk\n*.synctex\n*.synctex.gz\n*.synctex.gz(busy)\n*.pdfsync\n\n## Auxiliary and intermediate files from other packages:\n\n\n# algorithms\n*.alg\n*.loa\n\n# achemso\nacs-*.bib\n\n# amsthm\n*.thm\n\n# beamer\n*.nav\n*.snm\n*.vrb\n\n#(e)ledmac/(e)ledpar\n*.end\n*.[1-9]\n*.[1-9][0-9]\n*.[1-9][0-9][0-9]\n*.[1-9]R\n*.[1-9][0-9]R\n*.[1-9][0-9][0-9]R\n*.eledsec[1-9]\n*.eledsec[1-9]R\n*.eledsec[1-9][0-9]\n*.eledsec[1-9][0-9]R\n*.eledsec[1-9][0-9][0-9]\n*.eledsec[1-9][0-9][0-9]R\n\n# glossaries\n*.acn\n*.acr\n*.glg\n*.glo\n*.gls\n\n# gnuplottex\n*-gnuplottex-*\n\n# hyperref\n\n# knitr\n*-concordance.tex\n*.tikz\n*-tikzDictionary\n\n# listings\n*.lol\n\n# makeidx\n*.idx\n*.ilg\n*.ind\n*.ist\ntex/rl-meta.pdf\n\n# minitoc\n*.maf\n*.mtc\n*.mtc[0-9]\n*.mtc[1-9][0-9]\n\n# minted\n_minted*\n*.pyg\n\n# morewrites\n*.mw\n\n# mylatexformat\n*.fmt\n\n# nomencl\n*.nlo\n\n# sagetex\n*.sagetex.sage\n*.sagetex.py\n*.sagetex.scmd\n\n# sympy\n*.sout\n*.sympy\nsympy-plots-for-*.tex/\n\n# TikZ & PGF\n*.dpth\n*.md5\n*.auxlock\n\n# todonotes\n*.tdo\n\n# xindy\n*.xdy\n\n# WinEdt\n*.bak\n*.sav\n*.DS_Store\n/data\n*/.idea/\n/output/\n/exp/\n/backup/\n\n# python\n__pycache__\n.pyc\n"
  },
  {
    "path": "Examples/cai_eas/README.md",
    "content": "# HPO for Deep Neural Networks\n\nDemonstration using https://github.com/han-cai/EAS\n\nThe HPO engine is integrated into the Auptimizer.\nThe running script is a modification of `client.py`.\n\nRun it as\n\n    cd eas\n    python -m aup experiment.json\n\nNotice that the start_nets is needed in this folder although the experiment is running in the eas folder\n"
  },
  {
    "path": "Examples/cai_eas/eas/client.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified from https://github.com/han-cai/EAS\n\nThe file to run in the client side\nTrain the network and return the validation performance\n\"\"\"\nimport os\nfrom expdir_monitor.expdir_monitor import ExpdirMonitor\nimport time\nimport sys\nfrom aup import BasicConfig, print_result\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n\n\ndef run(expdir):\n\tstart_time = time.time()\n\texpdir_monitor = ExpdirMonitor(expdir)\n\tvalid_performance = expdir_monitor.run(pure=True, restore=False)\n\tend_time = time.time()\n\tprint('running time: %s' % (end_time - start_time))\n\tprint('valid performance: %s' % valid_performance)\n\tprint_result(valid_performance)\n\n\ndef main():\n\tprint(\"Starting Client\")\n\tconfig = BasicConfig().load(sys.argv[1])\n\trun(config[\"expdir\"])\n\n\nif __name__ == \"__main__\":\n\ttry:\n\t\tmain()\n\texcept KeyboardInterrupt:\n\t\tpass\n"
  },
  {
    "path": "Examples/cai_eas/eas/data_providers/__init__.py",
    "content": ""
  },
  {
    "path": "Examples/cai_eas/eas/data_providers/base_provider.py",
    "content": "import numpy as np\n\n\nclass DataSet:\n\t\"\"\"Class to represent some dataset: train, validation, test\"\"\"\n\t\n\t@property\n\tdef num_examples(self):\n\t\t\"\"\"Return qtty of examples in dataset\"\"\"\n\t\traise NotImplementedError\n\t\n\tdef next_batch(self, batch_size):\n\t\t\"\"\"Return batch of required size of data, labels\"\"\"\n\t\traise NotImplementedError\n\n\nclass ImagesDataSet(DataSet):\n\t\"\"\"Dataset for images that provide some often used methods\"\"\"\n\t\n\t@staticmethod\n\tdef measure_mean_and_std(images):\n\t\t# for every channel in image\n\t\tmeans = []\n\t\tstds = []\n\t\t# for every channel in image(assume this is last dimension)\n\t\tfor ch in range(images.shape[-1]):\n\t\t\tmeans.append(np.mean(images[:, :, :, ch]))\n\t\t\tstds.append(np.std(images[:, :, :, ch]))\n\t\treturn means, stds\n\t\n\t@staticmethod\n\tdef shuffle_images_and_labels(images, labels):\n\t\trand_indexes = np.random.permutation(images.shape[0])\n\t\tshuffled_images = images[rand_indexes]\n\t\tshuffled_labels = labels[rand_indexes]\n\t\treturn shuffled_images, shuffled_labels\n\t\n\t@staticmethod\n\tdef normalize_images(images, normalization_type, meanstd=None):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\timages: numpy 4D array\n\t\t\tnormalization_type: `str`, available choices:\n\t\t\t\t- divide_255\n\t\t\t\t- divide_256\n\t\t\t\t- by_channels\n\t\t\tmeanstd\n\t\t\"\"\"\n\t\tif normalization_type is not None:\n\t\t\tif normalization_type == 'divide_255':\n\t\t\t\timages = images / 255\n\t\t\telif normalization_type == 'divide_256':\n\t\t\t\timages = images / 256\n\t\t\telif normalization_type == 'by_channels':\n\t\t\t\timages = images.astype('float64')\n\t\t\t\t# for every channel in image(assume this is last dimension)\n\t\t\t\tmeans, stds = meanstd\n\t\t\t\tfor i in range(images.shape[-1]):\n\t\t\t\t\timages[:, :, :, i] = ((images[:, :, :, i] - means[i]) / stds[i])\n\t\t\telse:\n\t\t\t\traise Exception('Unknown type of normalization')\n\t\treturn images\n\t\n\t\nclass DataProvider:\n\t_SEED = 88\n\t\n\t@property\n\tdef data_shape(self):\n\t\t\"\"\"Return shape as python list of one data entry\"\"\"\n\t\traise NotImplementedError\n\t\n\t@property\n\tdef n_classes(self):\n\t\t\"\"\"Return `int` of num classes\"\"\"\n\t\traise NotImplementedError\n\t\n\tdef labels_to_one_hot(self, labels):\n\t\t\"\"\"Convert 1D array of labels to one hot representation\n\t\t\n\t\tArgs:\n\t\t\tlabels: 1D numpy array\n\t\t\"\"\"\n\t\tnew_labels = np.zeros((labels.shape[0], self.n_classes))\n\t\tnew_labels[range(labels.shape[0]), labels] = np.ones(labels.shape)\n\t\treturn new_labels\n\t\n\t@staticmethod\n\tdef labels_from_one_hot(labels):\n\t\t\"\"\"Convert 2D array of labels to 1D class based representation\n\t\t\n\t\tArgs:\n\t\t\tlabels: 2D numpy array\n\t\t\"\"\"\n\t\treturn np.argmax(labels, axis=1)\n"
  },
  {
    "path": "Examples/cai_eas/eas/data_providers/cifar.py",
    "content": "import tempfile\nimport os\nimport pickle\nimport random\n\nimport numpy as np\n\nfrom data_providers.base_provider import ImagesDataSet, DataProvider\nfrom data_providers.downloader import download_data_url\n\n\ndef augment_image(image, pad):\n\t\"\"\"Perform zero padding, randomly crop image to original size,\n\tmaybe mirror horizontally\"\"\"\n\tinit_shape = image.shape\n\tnew_shape = [init_shape[0] + pad * 2,\n\t\t\t\t init_shape[1] + pad * 2,\n\t\t\t\t init_shape[2]]\n\tzeros_padded = np.zeros(new_shape)\n\tzeros_padded[pad:init_shape[0] + pad, pad:init_shape[1] + pad, :] = image\n\t# randomly crop to original size\n\tinit_x = np.random.randint(0, pad * 2)\n\tinit_y = np.random.randint(0, pad * 2)\n\tcropped = zeros_padded[\n\t\t\t  init_x: init_x + init_shape[0],\n\t\t\t  init_y: init_y + init_shape[1],\n\t\t\t  :]\n\tflip = random.getrandbits(1)\n\tif flip:\n\t\tcropped = cropped[:, ::-1, :]\n\treturn cropped\n\n\ndef augment_all_images(initial_images, pad=4):\n\tnew_images = np.zeros(initial_images.shape)\n\tfor i in range(initial_images.shape[0]):\n\t\tnew_images[i] = augment_image(initial_images[i], pad)\n\treturn new_images\n\n\nclass CifarDataSet(ImagesDataSet):\n\tdef __init__(self, images, labels, n_classes, shuffle, normalization, augmentation, meanstd):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\timages: 4D numpy array\n\t\t\tlabels: 2D or 1D numpy array\n\t\t\tn_classes: `int`, number of cifar classes - 10 or 100\n\t\t\tshuffle: `str` or None\n\t\t\t\tNone: no any shuffling\n\t\t\t\tonce_prior_train: shuffle train data only once prior train\n\t\t\t\tevery_epoch: shuffle train data prior every epoch\n\t\t\tnormalization: `str` or None\n\t\t\t\tNone: no any normalization\n\t\t\t\tdivide_255: divide all pixels by 255\n\t\t\t\tdivide_256: divide all pixels by 256\n\t\t\t\tby_channels: substract mean of every chanel and divide each\n\t\t\t\t\tchanel data by it's standard deviation\n\t\t\taugmentation: `bool`\n\t\t\"\"\"\n\t\tif shuffle is None:\n\t\t\tself.shuffle_every_epoch = False\n\t\telif shuffle == 'once_prior_train':\n\t\t\tself.shuffle_every_epoch = False\n\t\t\timages, labels = self.shuffle_images_and_labels(images, labels)\n\t\telif shuffle == 'every_epoch':\n\t\t\tself.shuffle_every_epoch = True\n\t\telse:\n\t\t\traise Exception('Unknown type of shuffling')\n\t\tself._batch_counter, self.epoch_images, self.epoch_labels = 0, None, None\n\t\t\n\t\tself.images = images\n\t\tself.labels = labels\n\t\tself.n_classes = n_classes\n\t\tself.augmentation = augmentation\n\t\tself.normalization = normalization\n\t\tself.meanstd = meanstd\n\t\tself.images = self.normalize_images(images, self.normalization, self.meanstd)\n\t\tself.start_new_epoch()\n\t\n\tdef start_new_epoch(self):\n\t\tself._batch_counter = 0\n\t\tif self.shuffle_every_epoch:\n\t\t\timages, labels = self.shuffle_images_and_labels(\n\t\t\t\tself.images, self.labels)\n\t\telse:\n\t\t\timages, labels = self.images, self.labels\n\t\tif self.augmentation:\n\t\t\timages = augment_all_images(images, pad=4)\n\t\tself.epoch_images = images\n\t\tself.epoch_labels = labels\n\t\n\t@property\n\tdef num_examples(self):\n\t\treturn self.labels.shape[0]\n\t\n\tdef next_batch(self, batch_size):\n\t\tstart = self._batch_counter * batch_size\n\t\tend = (self._batch_counter + 1) * batch_size\n\t\tself._batch_counter += 1\n\t\timages_slice = self.epoch_images[start: end]\n\t\tlabels_slice = self.epoch_labels[start: end]\n\t\tif images_slice.shape[0] != batch_size:\n\t\t\tself.start_new_epoch()\n\t\t\treturn self.next_batch(batch_size)\n\t\telse:\n\t\t\treturn images_slice, labels_slice\n\n\nclass CifarDataProvider(DataProvider):\n\t\"\"\"Abstract class for cifar readers\"\"\"\n\tdef __init__(self, save_path=None, validation_size=None, shuffle=None, normalization=None,\n\t\t\t\t one_hot=True, **kwargs):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\tsave_path: `str`\n\t\t\tvalidation_set: `bool`.\n\t\t\tvalidation_split: `float` or None\n\t\t\t\tfloat: chunk of `train set` will be marked as `validation set`.\n\t\t\t\tNone: if 'validation set' == True, `validation set` will be\n\t\t\t\t\tcopy of `test set`\n\t\t\tshuffle: `str` or None\n\t\t\t\tNone: no any shuffling\n\t\t\t\tonce_prior_train: shuffle train data only once prior train\n\t\t\t\tevery_epoch: shuffle train data prior every epoch\n\t\t\tnormalization: `str` or None\n\t\t\t\tNone: no any normalization\n\t\t\t\tdivide_255: divide all pixels by 255\n\t\t\t\tdivide_256: divide all pixels by 256\n\t\t\t\tby_channels: substract mean of every chanel and divide each\n\t\t\t\t\tchanel data by it's standard deviation\n\t\t\tone_hot: `bool`, return laels one hot encoded\n\t\t\"\"\"\n\t\tself._save_path = save_path\n\t\tself.one_hot = one_hot\n\t\tdownload_data_url(self.data_url, self.save_path)\n\t\ttrain_fnames, test_fnames = self.get_filenames(self.save_path)\n\t\t\n\t\t# add train and validations datasets\n\t\timages, labels = self.read_cifar(train_fnames)\n\t\ttrain_meanstd = ImagesDataSet.measure_mean_and_std(images)\n\t\tif validation_size is not None:\n\t\t\tnp.random.seed(DataProvider._SEED)\n\t\t\trand_indexes = np.random.permutation(images.shape[0])\n\t\t\tvalid_indexes = rand_indexes[:validation_size]\n\t\t\ttrain_indexes = rand_indexes[validation_size:]\n\t\t\tself.train = CifarDataSet(\n\t\t\t\timages=images[train_indexes], labels=labels[train_indexes],\n\t\t\t\tn_classes=self.n_classes, shuffle=shuffle,\n\t\t\t\tnormalization=normalization,\n\t\t\t\taugmentation=self.data_augmentation, meanstd=train_meanstd)\n\t\t\tself.validation = CifarDataSet(\n\t\t\t\timages=images[valid_indexes], labels=labels[valid_indexes],\n\t\t\t\tn_classes=self.n_classes, shuffle=None,\n\t\t\t\tnormalization=normalization,\n\t\t\t\taugmentation=False, meanstd=train_meanstd)\n\t\telse:\n\t\t\tself.train = CifarDataSet(\n\t\t\t\timages=images, labels=labels,\n\t\t\t\tn_classes=self.n_classes, shuffle=shuffle,\n\t\t\t\tnormalization=normalization,\n\t\t\t\taugmentation=self.data_augmentation, meanstd=train_meanstd)\n\t\t\n\t\t# add test set\n\t\timages, labels = self.read_cifar(test_fnames)\n\t\tself.test = CifarDataSet(\n\t\t\timages=images, labels=labels,\n\t\t\tshuffle=None, n_classes=self.n_classes,\n\t\t\tnormalization=normalization,\n\t\t\taugmentation=False, meanstd=train_meanstd)\n\t\t\n\t\tif validation_size is None:\n\t\t\tself.validation = self.test\n\t\n\t@property\n\tdef save_path(self):\n\t\tif self._save_path is None:\n\t\t\tself._save_path = os.path.join(\n\t\t\t\ttempfile.gettempdir(), 'cifar%d' % self.n_classes)\n\t\treturn self._save_path\n\t\n\t@property\n\tdef data_url(self):\n\t\t\"\"\"Return url for downloaded data depends on cifar class\"\"\"\n\t\tdata_url = ('http://www.cs.toronto.edu/'\n\t\t\t\t\t'~kriz/cifar-%d-python.tar.gz' % self.n_classes)\n\t\treturn data_url\n\t\n\t@property\n\tdef data_shape(self):\n\t\treturn 32, 32, 3\n\t\n\t@property\n\tdef n_classes(self):\n\t\treturn self._n_classes\n\t\n\tdef get_filenames(self, save_path):\n\t\t\"\"\"Return two lists of train and test filenames for dataset\"\"\"\n\t\traise NotImplementedError\n\t\n\tdef read_cifar(self, filenames):\n\t\tif self.n_classes == 10:\n\t\t\tlabels_key = b'labels'\n\t\telif self.n_classes == 100:\n\t\t\tlabels_key = b'fine_labels'\n\t\t\n\t\timages_res = []\n\t\tlabels_res = []\n\t\tfor fname in filenames:\n\t\t\twith open(fname, 'rb') as f:\n\t\t\t\timages_and_labels = pickle.load(f, encoding='bytes')\n\t\t\timages = images_and_labels[b'data']\n\t\t\timages = images.reshape(-1, 3, 32, 32)\n\t\t\timages = images.swapaxes(1, 3).swapaxes(1, 2)\n\t\t\timages_res.append(images)\n\t\t\tlabels_res.append(images_and_labels[labels_key])\n\t\timages_res = np.vstack(images_res)\n\t\tlabels_res = np.hstack(labels_res)\n\t\tif self.one_hot:\n\t\t\tlabels_res = self.labels_to_one_hot(labels_res)\n\t\treturn images_res, labels_res\n\n\nclass Cifar10DataProvider(CifarDataProvider):\n\t_n_classes = 10\n\tdata_augmentation = False\n\t\n\tdef get_filenames(self, save_path):\n\t\tsub_save_path = os.path.join(save_path, 'cifar-10-batches-py')\n\t\ttrain_filenames = [\n\t\t\tos.path.join(\n\t\t\t\tsub_save_path,\n\t\t\t\t'data_batch_%d' % i) for i in range(1, 6)]\n\t\ttest_filenames = [os.path.join(sub_save_path, 'test_batch')]\n\t\treturn train_filenames, test_filenames\n\n\nclass Cifar100DataProvider(CifarDataProvider):\n\t_n_classes = 100\n\tdata_augmentation = False\n\t\n\tdef get_filenames(self, save_path):\n\t\tsub_save_path = os.path.join(save_path, 'cifar-100-python')\n\t\ttrain_filenames = [os.path.join(sub_save_path, 'train')]\n\t\ttest_filenames = [os.path.join(sub_save_path, 'test')]\n\t\treturn train_filenames, test_filenames\n\n\nclass Cifar10AugmentedDataProvider(Cifar10DataProvider):\n\t_n_classes = 10\n\tdata_augmentation = True\n\n\nclass Cifar100AugmentedDataProvider(Cifar100DataProvider):\n\t_n_classes = 100\n\tdata_augmentation = True\n\n"
  },
  {
    "path": "Examples/cai_eas/eas/data_providers/downloader.py",
    "content": "import sys\nimport os\nimport urllib.request\nimport tarfile\nimport zipfile\n\n\ndef report_download_progress(count, block_size, total_size):\n\tpct_complete = float(count * block_size) / total_size\n\tmsg = '\\r {0:.1%} already downloaded'.format(pct_complete)\n\tsys.stdout.write(msg)\n\tsys.stdout.flush()\n\n\ndef download_data_url(url, download_dir):\n\tfilename = url.split('/')[-1]\n\tfile_path = os.path.join(download_dir, filename)\n\t\n\tif not os.path.exists(file_path):\n\t\tos.makedirs(download_dir, exist_ok=True)\n\t\t\n\t\tprint('Download %s to %s' % (url, file_path))\n\t\tfile_path, _ = urllib.request.urlretrieve(\n\t\t\turl=url,\n\t\t\tfilename=file_path,\n\t\t\treporthook=report_download_progress)\n\t\t\n\t\tprint('\\nExtracting files')\n\t\tif file_path.endswith('.zip'):\n\t\t\tzipfile.ZipFile(file=file_path, mode='r').extractall(download_dir)\n\t\telif file_path.endswith(('.tar.gz', '.tgz')):\n\t\t\ttarfile.open(name=file_path, mode='r:gz').extractall(download_dir)\n"
  },
  {
    "path": "Examples/cai_eas/eas/data_providers/svhn.py",
    "content": "import tempfile\nimport os\nimport scipy.io\n\nimport numpy as np\n\nfrom data_providers.base_provider import ImagesDataSet, DataProvider\nfrom data_providers.downloader import download_data_url\n\n\nclass SVHNDataSet(ImagesDataSet):\n\tn_classes = 10\n\t\n\tdef __init__(self, images, labels, shuffle, normalization):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\timages: 4D numpy array\n\t\t\tlabels: 2D or 1D numpy array\n\t\t\tshuffle: `bool`, should shuffle data or not\n\t\t\tnormalization: `str` or None\n\t\t\t\tNone: no any normalization\n\t\t\t\tdivide_255: divide all pixels by 255\n\t\t\t\tdivide_256: divide all pixels by 256\n\t\t\t\tby_channels: substract mean of every chanel and divide each\n\t\t\t\t\tchanel data by it's standard deviation\n\t\t\"\"\"\n\t\tself._batch_counter, self.epoch_images, self.epoch_labels = 0, None, None\n\t\t\n\t\tself.shuffle = shuffle\n\t\tself.images = images\n\t\tself.labels = labels\n\t\tself.normalization = normalization\n\t\tself.start_new_epoch()\n\t\n\tdef start_new_epoch(self):\n\t\tself._batch_counter = 0\n\t\tif self.shuffle:\n\t\t\tself.epoch_images, self.epoch_labels = self.shuffle_images_and_labels(\n\t\t\t\tself.images, self.labels)\n\t\telse:\n\t\t\tself.epoch_images, self.epoch_labels = self.images, self.labels\n\t\n\t@property\n\tdef num_examples(self):\n\t\treturn self.labels.shape[0]\n\t\n\tdef next_batch(self, batch_size):\n\t\tstart = self._batch_counter * batch_size\n\t\tend = (self._batch_counter + 1) * batch_size\n\t\tself._batch_counter += 1\n\t\timages_slice = self.epoch_images[start: end]\n\t\tlabels_slice = self.epoch_labels[start: end]\n\t\t# due to memory error it should be done inside batch\n\t\tif self.normalization is not None:\n\t\t\timages_slice = self.normalize_images(\n\t\t\t\timages_slice, self.normalization)\n\t\tif images_slice.shape[0] != batch_size:\n\t\t\tself.start_new_epoch()\n\t\t\treturn self.next_batch(batch_size)\n\t\telse:\n\t\t\treturn images_slice, labels_slice\n\n\nclass SVHNDataProvider(DataProvider):\n\tdef __init__(self, save_path=None, validation_size=None, shuffle=False, normalization=None,\n\t\t\t\t one_hot=True, include_extra=True, **kwargs):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\tsave_path: `str`\n\t\t\tvalidation_set: `bool`.\n\t\t\tvalidation_split: `int` or None\n\t\t\t\tfloat: chunk of `train set` will be marked as `validation set`.\n\t\t\t\tNone: if 'validation set' == True, `validation set` will be\n\t\t\t\t\tcopy of `test set`\n\t\t\tshuffle: `bool`, should shuffle data or not\n\t\t\tnormalization: `str` or None\n\t\t\t\tNone: no any normalization\n\t\t\t\tdivide_255: divide all pixels by 255\n\t\t\t\tdivide_256: divide all pixels by 256\n\t\t\t\tby_chanels: substract mean of every chanel and divide each\n\t\t\t\t\tchanel data by it's standart deviation\n\t\t\tone_hot: `bool`, return lasels one hot encoded\n\t\t\"\"\"\n\t\tself._save_path = save_path\n\t\ttrain_images = []\n\t\ttrain_labels = []\n\t\tif include_extra:\n\t\t\ttrain_data_src = ['train', 'extra']\n\t\telse:\n\t\t\ttrain_data_src = ['train']\n\t\tfor part in train_data_src:\n\t\t\timages, labels = self.get_images_and_labels(part, one_hot)\n\t\t\ttrain_images.append(images)\n\t\t\ttrain_labels.append(labels)\n\t\ttrain_images = np.vstack(train_images)\n\t\tif one_hot:\n\t\t\ttrain_labels = np.vstack(train_labels)\n\t\telse:\n\t\t\ttrain_labels = np.hstack(train_labels)\n\t\tif validation_size is not None:\n\t\t\tnp.random.seed(DataProvider._SEED)\n\t\t\trand_indexes = np.random.permutation(train_images.shape[0])\n\t\t\tvalid_indexes = rand_indexes[:validation_size]\n\t\t\ttrain_indexes = rand_indexes[validation_size:]\n\t\t\tvalid_images, valid_labels = train_images[valid_indexes], train_labels[valid_indexes]\n\t\t\ttrain_images, train_labels = train_images[train_indexes], train_labels[train_indexes]\n\t\t\tself.validation = SVHNDataSet(\n\t\t\t\tvalid_images, valid_labels, False, normalization)\n\t\t\n\t\tself.train = SVHNDataSet(\n\t\t\ttrain_images, train_labels, shuffle, normalization)\n\t\t\n\t\ttest_images, test_labels = self.get_images_and_labels('test', one_hot)\n\t\tself.test = SVHNDataSet(test_images, test_labels, False, normalization)\n\t\t\n\t\tif validation_size is None:\n\t\t\tself.validation = self.test\n\t\n\tdef get_images_and_labels(self, name_part, one_hot=False):\n\t\turl = self.data_url + name_part + '_32x32.mat'\n\t\tdownload_data_url(url, self.save_path)\n\t\tfilename = os.path.join(self.save_path, name_part + '_32x32.mat')\n\t\tdata = scipy.io.loadmat(filename)\n\t\timages = data['X'].transpose(3, 0, 1, 2)\n\t\tlabels = data['y'].reshape((-1))\n\t\tlabels[labels == 10] = 0\n\t\tif one_hot:\n\t\t\tlabels = self.labels_to_one_hot(labels)\n\t\treturn images, labels\n\t\n\t@property\n\tdef n_classes(self):\n\t\treturn 10\n\t\n\t@property\n\tdef save_path(self):\n\t\tif self._save_path is None:\n\t\t\tself._save_path = os.path.join(tempfile.gettempdir(), 'svhn')\n\t\treturn self._save_path\n\t\n\t@property\n\tdef data_url(self):\n\t\treturn 'http://ufldl.stanford.edu/housenumbers/'\n\t\n\t@property\n\tdef data_shape(self):\n\t\treturn 32, 32, 3\n"
  },
  {
    "path": "Examples/cai_eas/eas/data_providers/utils.py",
    "content": "from data_providers.cifar import Cifar10DataProvider, Cifar100DataProvider, \\\n\tCifar10AugmentedDataProvider, Cifar100AugmentedDataProvider\nfrom data_providers.svhn import SVHNDataProvider\n\n\ndef get_data_provider_by_name(name, train_params):\n\t\"\"\"Return required data provider class\"\"\"\n\tif name == 'C10':\n\t\treturn Cifar10DataProvider(**train_params)\n\tif name == 'C10+':\n\t\treturn Cifar10AugmentedDataProvider(**train_params)\n\tif name == 'C100':\n\t\treturn Cifar100DataProvider(**train_params)\n\tif name == 'C100+':\n\t\treturn Cifar100AugmentedDataProvider(**train_params)\n\tif name == 'SVHN':\n\t\treturn SVHNDataProvider(**train_params)\n\telse:\n\t\tprint('Sorry, data provider for `%s` dataset '\n\t\t\t  'was not implemented yet' % name)\n\t\texit()\n"
  },
  {
    "path": "Examples/cai_eas/eas/expdir_monitor/__init__.py",
    "content": ""
  },
  {
    "path": "Examples/cai_eas/eas/expdir_monitor/expdir_monitor.py",
    "content": "import json\nimport os\nimport subprocess\nfrom models.utils import RunConfig, get_model_config_by_name, get_model_by_name\nfrom data_providers.utils import get_data_provider_by_name\nimport pickle\n\n\nclass ExpdirMonitor:\n\tdef __init__(self, expdir):\n\t\tself.expdir = os.path.realpath(expdir)\n\t\tos.makedirs(self.expdir, exist_ok=True)\n\n\t@property\n\tdef logs(self): return '%s/logs' % self.expdir\n\t\n\t@property\n\tdef checkpoint(self): return '%s/checkpoint' % self.expdir\n\t\n\t@property\n\tdef snapshot(self): return '%s/snapshot' % self.expdir\n\t\n\t@property\n\tdef output(self): return '%s/output' % self.expdir\n\t\n\t@property\n\tdef init(self): return '%s/init' % self.expdir\n\t\n\t@property\n\tdef run_config_path(self): return '%s/run.config' % self.expdir\n\t\n\t@property\n\tdef net_config_path(self): return '%s/net.config' % self.expdir\n\t\n\tdef load_run_config(self, print_info=False, dataset='C10+'):\n\t\tif os.path.isfile(self.run_config_path):\n\t\t\trun_config = json.load(open(self.run_config_path, 'r'))\n\t\telse:\n\t\t\tprint('Use Default Run Config for %s' % dataset)\n\t\t\trun_config = RunConfig.get_default_run_config(dataset)\n\t\tif print_info:\n\t\t\tprint('Run config:')\n\t\t\tfor k, v in run_config.items():\n\t\t\t\tprint('\\t%s: %s' % (k, v))\n\t\treturn RunConfig(**run_config)\n\t\n\tdef load_init(self):\n\t\tinit_path = '%s/init' % self.expdir\n\t\tif os.path.isfile(init_path):\n\t\t\treturn pickle.load(open(self.init, 'rb'))\n\t\telse:\n\t\t\treturn None\n\t\n\tdef load_net_config(self, init, print_info=False):\n\t\tassert os.path.isfile(self.net_config_path), \\\n\t\t\t'Net configs do not exist in the given expdir <%s>' % self.expdir\n\t\tnet_config_json = json.load(open(self.net_config_path, 'r'))\n\t\tnet_config = get_model_config_by_name(net_config_json['name'])()\n\t\tnet_config.set_net_from_config(net_config_json, init=init, print_info=print_info)\n\t\treturn net_config, net_config_json['name']\n\t\n\tdef run(self, pure=True, restore=False, test=False, valid=False, valid_size=-1):\n\t\tif not restore:\n\t\t\t_clear_files = ['logs', 'checkpoint', 'snapshot', 'output']\n\t\t\tfor file in _clear_files:\n\t\t\t\tsubprocess.run(['rm', '-rf', os.path.join(self.expdir, file)])\n\t\tinit = self.load_init()\n\t\tdataset = 'C10+' if init is None else init.get('dataset', 'C10+')\n\t\trun_config = self.load_run_config(print_info=(not pure), dataset=dataset)\n\t\trun_config.renew_logs = False\n\t\tif valid_size > 0:\n\t\t\trun_config.validation_size = valid_size\n\n\t\t\n\t\tdata_provider = get_data_provider_by_name(run_config.dataset, run_config.get_config())\n\t\tnet_config, model_name = self.load_net_config(init, print_info=(not pure))\n\t\tmodel = get_model_by_name(model_name)(self.expdir, data_provider, run_config, net_config, pure=pure)\n\t\tstart_epoch = 1\n\t\tif restore:\n\t\t\tmodel.load_model()\n\t\t\tepoch_info_file = '%s/checkpoint/epoch.info' % self.expdir\n\t\t\tif os.path.isfile(epoch_info_file):\n\t\t\t\tstart_epoch = json.load(open(epoch_info_file, 'r'))['epoch']\n\t\t\t\tif not pure:\n\t\t\t\t\tprint('start epoch: %d' % start_epoch)\n\t\tif test:\n\t\t\tprint('Testing...')\n\t\t\tloss, accuracy = model.test(data_provider.test, batch_size=200)\n\t\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\t\tjson.dump({'test_loss': '%s' % loss, 'test_acc': '%s' % accuracy}, open(self.output, 'w'))\n\t\telif valid:\n\t\t\tprint('validating...')\n\t\t\tloss, accuracy = model.test(data_provider.validation, batch_size=200)\n\t\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\t\tjson.dump({'valid_loss': '%s' % loss, 'valid_acc': '%s' % accuracy}, open(self.output, 'w'))\n\t\telif pure:\n\t\t\tmodel.pure_train()\n\t\t\tloss, accuracy = model.test(data_provider.validation, batch_size=200)\n\t\t\tjson.dump({'valid_loss': '%s' % loss, 'valid_acc': '%s' % accuracy}, open(self.output, 'w'))\n\t\t\tmodel.save_init(self.snapshot, print_info=(not pure))\n\t\t\tmodel.save_config(self.expdir, print_info=(not pure))\n\t\telse:\n\t\t\t# train the model\n\t\t\tprint('Data provider train images: ', data_provider.train.num_examples)\n\t\t\tmodel.train_all_epochs(start_epoch)\n\t\t\tprint('Data provider test images: ', data_provider.test.num_examples)\n\t\t\tprint('Testing...')\n\t\t\tloss, accuracy = model.test(data_provider.test, batch_size=200)\n\t\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\t\tjson.dump({'test_loss': '%s' % loss, 'test_acc': '%s' % accuracy}, open(self.output, 'w'))\n\t\t\tmodel.save_init(self.snapshot, print_info=(not pure))\n\t\t\tmodel.save_config(self.expdir, print_info=(not pure))\n\t\treturn accuracy\n"
  },
  {
    "path": "Examples/cai_eas/eas/experiment.json",
    "content": "{\n  \"name\": \"./cai_eas/eas/experiment.json\",\n  \"proposer\": \"eas\",\n  \"script\": \"client.py\",\n  \"resource\": \"gpu\",\n  \"n_parallel\": 2,\n  \"parameter_config\": [\n  ],\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/cai_eas/eas/models/__init__.py",
    "content": ""
  },
  {
    "path": "Examples/cai_eas/eas/models/basic_model.py",
    "content": "import os\nimport shutil\nimport tensorflow as tf\nimport numpy as np\nimport time\nfrom datetime import timedelta\nimport json\nimport pickle\n\t\n\nclass BasicModel:\n\tdef __init__(self, path, data_provider, run_config, net_config, pure=False, only_forward=False):\n\t\tif only_forward: pure = True\n\t\tself.graph = tf.Graph()\n\t\t\n\t\tself.data_provider = data_provider\n\t\tself._path = path\n\t\tself.run_config = run_config\n\t\tself.net_config = net_config\n\t\t\n\t\tself.data_shape = data_provider.data_shape\n\t\tself.n_classes = data_provider.n_classes\n\t\t\n\t\tself._save_path, self._logs_path = None, None\n\t\tself.batches_step = 0\n\t\t\n\t\tself.cross_entropy, self.train_step, self.accuracy = None, None, None\n\t\twith self.graph.as_default():\n\t\t\tself._define_inputs()\n\t\t\tself._build_graph(only_forward=only_forward)\n\t\t\tself.global_variables_initializer = tf.global_variables_initializer()\n\t\t\tif not pure:\n\t\t\t\tself._count_trainable_params()\n\t\t\t\tself.saver = tf.train.Saver()\n\t\tself._initialize_session(set_logs=(not pure))\n\t\n\t@property\n\tdef save_path(self):\n\t\tif self._save_path is None:\n\t\t\tsave_path = '%s/checkpoint' % self._path\n\t\t\tos.makedirs(save_path, exist_ok=True)\n\t\t\tsave_path = os.path.join(save_path, 'model.ckpt')\n\t\t\tself._save_path = save_path\n\t\treturn self._save_path\n\t\n\t@property\n\tdef logs_path(self):\n\t\tif self._logs_path is None:\n\t\t\tlogs_path = '%s/logs' % self._path\n\t\t\tif self.run_config.renew_logs:\n\t\t\t\tshutil.rmtree(logs_path, ignore_errors=True)\n\t\t\tos.makedirs(logs_path, exist_ok=True)\n\t\t\tself._logs_path = logs_path\n\t\treturn self._logs_path\n\t\n\tdef _build_graph(self, only_forward=False):\n\t\traise NotImplementedError\n\t\n\tdef _define_inputs(self):\n\t\tshape = [None]\n\t\tshape.extend(self.data_shape)\n\t\tself.images = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=shape,\n\t\t\tname='input_images')\n\t\tself.labels = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=[None, self.n_classes],\n\t\t\tname='labels')\n\t\tself.learning_rate = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=[],\n\t\t\tname='learning_rate')\n\t\tself.is_training = tf.placeholder(tf.bool, shape=[], name='is_training')\n\t\t\n\tdef _initialize_session(self, set_logs=True):\n\t\t\"\"\"Initialize session, variables\"\"\"\n\t\tconfig = tf.ConfigProto()\n\t\t# restrict model GPU memory utilization to min required\n\t\tconfig.gpu_options.allow_growth = True\n\t\tself.sess = tf.Session(graph=self.graph, config=config)\n\t\t\n\t\tself.sess.run(self.global_variables_initializer)\n\t\tif set_logs:\n\t\t\tlogswriter = tf.summary.FileWriter\n\t\t\tself.summary_writer = logswriter(self.logs_path, graph=self.graph)\n\t\n\tdef train_all_epochs(self, start_epoch=1):\n\t\tn_epochs = self.run_config.n_epochs\n\t\tlearning_rate = self.run_config.init_lr\n\t\tbatch_size = self.run_config.batch_size\n\t\t\n\t\ttotal_start_time = time.time()\n\t\tfor epoch in range(start_epoch, n_epochs + 1):\n\t\t\tprint('\\n', '-' * 30, 'Train epoch: %d' % epoch, '-' * 30, '\\n')\n\t\t\tstart_time = time.time()\n\t\t\tnew_lr = self.run_config.learning_rate(epoch)\n\t\t\tif new_lr != learning_rate:\n\t\t\t\tlearning_rate = new_lr\n\t\t\t\tprint('Decrease learning rate, new lr = %f' % learning_rate)\n\t\t\t\n\t\t\tprint('Training...')\n\t\t\tloss, acc = self.train_one_epoch(\n\t\t\t\tself.data_provider.train, batch_size, learning_rate)\n\t\t\t# save logs about \"loss\" and \"acc\" if the option is true\n\t\t\tif self.run_config.should_save_logs:\n\t\t\t\tself.log_loss_accuracy(loss, acc, epoch, prefix='train')\n\t\t\t\n\t\t\tif self.run_config.validation_frequency and epoch % self.run_config.validation_frequency == 0:\n\t\t\t\tprint('Validation...')\n\t\t\t\tloss, acc = self.test(self.data_provider.validation, batch_size)\n\t\t\t\tif self.run_config.should_save_logs:\n\t\t\t\t\tself.log_loss_accuracy(loss, acc, epoch, prefix='valid')\n\t\t\t\tif self.run_config.should_save_model:\n\t\t\t\t\tself.save_model()\n\t\t\t\t\tjson.dump({'epoch': epoch + 1}, open('%s/checkpoint/epoch.info' % self._path, 'w'))\n\t\t\t\n\t\t\ttime_per_epoch = time.time() - start_time\n\t\t\tseconds_left = int((n_epochs - epoch) * time_per_epoch)\n\t\t\tprint('Time per epoch: %s, Est. complete in: %s' % (\n\t\t\t\tstr(timedelta(seconds=time_per_epoch)),\n\t\t\t\tstr(timedelta(seconds=seconds_left))))\n\t\t\n\t\tif self.run_config.should_save_model:\n\t\t\tself.save_model()\n\t\t\n\t\ttotal_training_time = time.time() - total_start_time\n\t\tprint('\\nTotal training time: %s' % str(timedelta(\n\t\t\tseconds=total_training_time)))\n\t\n\tdef train_one_epoch(self, data, batch_size, learning_rate):\n\t\tnum_examples = data.num_examples\n\t\ttotal_loss = []\n\t\ttotal_accuracy = []\n\t\tfor i in range(num_examples // batch_size):\n\t\t\tbatch = data.next_batch(batch_size)\n\t\t\timages, labels = batch\n\t\t\tfeed_dict = {\n\t\t\t\tself.images: images,\n\t\t\t\tself.labels: labels,\n\t\t\t\tself.learning_rate: learning_rate,\n\t\t\t\tself.is_training: True,\n\t\t\t}\n\t\t\tfetches = [self.train_step, self.cross_entropy, self.accuracy]\n\t\t\tresult = self.sess.run(fetches, feed_dict=feed_dict)\n\t\t\t_, loss, accuracy = result\n\t\t\ttotal_loss.append(loss)\n\t\t\ttotal_accuracy.append(accuracy)\n\t\t\t# save logs about \"loss\" and \"acc\" if the option is true\n\t\t\tif self.run_config.should_save_logs:\n\t\t\t\tself.batches_step += 1\n\t\t\t\tself.log_loss_accuracy(\n\t\t\t\t\tloss, accuracy, self.batches_step, prefix='per_batch',\n\t\t\t\t\tshould_print=False)\n\t\tmean_loss = np.mean(total_loss)\n\t\tmean_accuracy = np.mean(total_accuracy)\n\t\treturn mean_loss, mean_accuracy\n\t\n\tdef test(self, data, batch_size):\n\t\tnum_examples = data.num_examples\n\t\ttotal_loss = []\n\t\ttotal_accuracy = []\n\t\tfor i in range(num_examples // batch_size):\n\t\t\tbatch = data.next_batch(batch_size)\n\t\t\tfeed_dict = {\n\t\t\t\tself.images: batch[0],\n\t\t\t\tself.labels: batch[1],\n\t\t\t\tself.is_training: False,\n\t\t\t}\n\t\t\tfetches = [self.cross_entropy, self.accuracy]\n\t\t\tloss, accuracy = self.sess.run(fetches, feed_dict=feed_dict)\n\t\t\ttotal_loss.append(loss)\n\t\t\ttotal_accuracy.append(accuracy)\n\t\tmean_loss = np.mean(total_loss)\n\t\tmean_accuracy = np.mean(total_accuracy)\n\t\tremain_num = num_examples % batch_size\n\t\tif remain_num != 0:\n\t\t\tbatch = data.next_batch(remain_num)\n\t\t\tfeed_dict = {\n\t\t\t\tself.images: batch[0],\n\t\t\t\tself.labels: batch[1],\n\t\t\t\tself.is_training: False,\n\t\t\t}\n\t\t\tfetches = [self.cross_entropy, self.accuracy]\n\t\t\tloss, accuracy = self.sess.run(fetches, feed_dict=feed_dict)\n\t\t\t\n\t\t\tmean_loss = (mean_loss * (num_examples - remain_num) + loss * remain_num) / num_examples\n\t\t\tmean_accuracy = (mean_accuracy * (num_examples - remain_num) + accuracy * remain_num) / num_examples\n\t\treturn mean_loss, mean_accuracy\n\t\n\tdef save_config(self, save_path, print_info=True):\n\t\tos.makedirs(save_path, exist_ok=True)\n\t\tnet_save_path = os.path.join(save_path, 'net.config')\n\t\tjson.dump(self.net_config.get_config(), open(net_save_path, 'w'), indent=4)\n\t\tif print_info: print('Network configs dump to %s' % save_path)\n\t\trun_save_path = os.path.join(save_path, 'run.config')\n\t\tjson.dump(self.run_config.get_config(), open(run_save_path, 'w'), indent=4)\n\t\tif print_info: print('Run configs dump to %s' % run_save_path)\n\t\n\tdef save_init(self, save_path, print_info=True):\n\t\tos.makedirs(save_path, exist_ok=True)\n\t\tsave_path = os.path.join(save_path, 'init')\n\t\tto_save_init = self.net_config.renew_init(self)\n\t\tto_save_init['dataset'] = self.run_config.dataset\n\t\tpickle.dump(to_save_init, open(save_path, 'wb'))\n\t\tif print_info: print('Network weights dump to %s' % save_path)\n\t\n\tdef pure_train(self):\n\t\tn_epochs = self.run_config.n_epochs\n\t\tbatch_size = self.run_config.batch_size\n\n\t\tfor epoch in range(1, n_epochs + 1):\n\t\t\tlearning_rate = self.run_config.learning_rate(epoch)\n\t\t\t\n\t\t\t# train one epoch\n\t\t\tdata = self.data_provider.train\n\t\t\tnum_examples = data.num_examples\n\t\t\tfor i in range(num_examples // batch_size):\n\t\t\t\tbatch = data.next_batch(batch_size)\n\t\t\t\timages, labels = batch\n\t\t\t\tfeed_dict = {\n\t\t\t\t\tself.images: images,\n\t\t\t\t\tself.labels: labels,\n\t\t\t\t\tself.learning_rate: learning_rate,\n\t\t\t\t\tself.is_training: True,\n\t\t\t\t}\n\t\t\t\tfetches = self.train_step\n\t\t\t\tself.sess.run(fetches, feed_dict=feed_dict)\n\t\n\tdef save_model(self, global_step=None):\n\t\tself.saver.save(self.sess, self.save_path, global_step=global_step)\n\t\n\tdef load_model(self):\n\t\ttry:\n\t\t\tself.saver.restore(self.sess, self.save_path)\n\t\texcept Exception:\n\t\t\traise IOError('Failed to to load model '\n\t\t\t\t\t\t  'from save path: %s' % self.save_path)\n\t\tprint('Successfully load model from save path: %s' % self.save_path)\n\t\n\tdef log_loss_accuracy(self, loss, accuracy, epoch, prefix, should_print=True, write2file=True):\n\t\tif should_print:\n\t\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\tsummary = tf.Summary(value=[\n\t\t\ttf.Summary.Value(\n\t\t\t\ttag='loss_%s' % prefix, simple_value=float(loss)),\n\t\t\ttf.Summary.Value(\n\t\t\t\ttag='accuracy_%s' % prefix, simple_value=float(accuracy))\n\t\t])\n\t\tself.summary_writer.add_summary(summary, epoch)\n\t\tif write2file and prefix == 'valid':\n\t\t\twith open('%s/console.txt' % self.logs_path, 'a') as fout:\n\t\t\t\tfout.write('%d: mean cross_entropy: %f, mean accuracy: %f\\n' % (epoch, loss, accuracy))\n\t\n\t@staticmethod\n\tdef _count_trainable_params():\n\t\ttotal_parameters = 0\n\t\tfor variable in tf.trainable_variables():\n\t\t\tshape = variable.get_shape()\n\t\t\tvariable_parameters = 1\n\t\t\tfor dim in shape:\n\t\t\t\tvariable_parameters *= dim.value\n\t\t\ttotal_parameters += variable_parameters\n\t\tprint('Total training params: %.2fM' % (total_parameters / 1e6))\n\t\n\t@staticmethod\n\tdef dropout(_input, keep_prob, is_training):\n\t\tif keep_prob < 1:\n\t\t\toutput = tf.cond(\n\t\t\t\tis_training,\n\t\t\t\tlambda: tf.nn.dropout(_input, keep_prob),\n\t\t\t\tlambda: _input\n\t\t\t)\n\t\telse:\n\t\t\toutput = _input\n\t\treturn output\n\t\n\t@staticmethod\n\tdef weight_variable(shape, name, initializer):\n\t\treturn tf.get_variable(\n\t\t\tname,\n\t\t\tshape=shape,\n\t\t\tinitializer=initializer,\n\t\t)\n\t\t\n\t@staticmethod\n\tdef avg_pool(_input, k=2, s=2):\n\t\tksize = [1, k, k, 1]\n\t\tstrides = [1, s, s, 1]\n\t\tpadding = 'VALID'\n\t\t# if stride = 1, keep the image size unchanged\n\t\tif s == 1: padding = 'SAME'\n\t\toutput = tf.nn.avg_pool(_input, ksize, strides, padding)\n\t\treturn output\n\t\n\t@staticmethod\n\tdef max_pool(_input, k=2, s=2):\n\t\tksize = [1, k, k, 1]\n\t\tstrides = [1, s, s, 1]\n\t\tpadding = 'VALID'\n\t\t# if stride = 1, keep the image size unchanged\n\t\tif s == 1: padding = 'SAME'\n\t\toutput = tf.nn.max_pool(_input, ksize, strides, padding)\n\t\treturn output\n\n\t@staticmethod\n\tdef conv2d(_input, out_features, kernel_size, strides=1, padding='SAME', param_initializer=None):\n\t\tif kernel_size == 1: padding = 'VALID'\n\t\t\n\t\tin_features = int(_input.get_shape()[-1])\n\t\tif not param_initializer: param_initializer = {}\n\t\tkernel = BasicModel.weight_variable(\n\t\t\t[kernel_size, kernel_size, in_features, out_features],\n\t\t\tname='kernel',\n\t\t\tinitializer=param_initializer.get('kernel', tf.contrib.layers.variance_scaling_initializer())\n\t\t)\n\t\toutput = tf.nn.conv2d(_input, kernel, [1, strides, strides, 1], padding)\n\t\treturn output\n\t\n\t@staticmethod\n\tdef fc_layer(_input, out_units, use_bias=False, param_initializer=None):\n\t\tfeatures_total = int(_input.get_shape()[-1])\n\t\tif not param_initializer: param_initializer = {}\n\t\tW = BasicModel.weight_variable(\n\t\t\t[features_total, out_units], name='W',\n\t\t\tinitializer=param_initializer.get('W', tf.contrib.layers.xavier_initializer())\n\t\t)\n\t\toutput = tf.matmul(_input, W)\n\t\tif use_bias:\n\t\t\tbias = BasicModel.weight_variable(\n\t\t\t\t[out_units], name='bias',\n\t\t\t\tinitializer=param_initializer.get('bias', tf.constant_initializer([0.0] * out_units))\n\t\t\t)\n\t\t\toutput += bias\n\t\treturn output\n\t\t\n\t@staticmethod\n\tdef batch_norm(_input, is_training, epsilon=1e-3, decay=0.999, param_initializer=None):\n\t\toutput = tf.contrib.layers.batch_norm(\n\t\t\t_input, scale=True, is_training=is_training, param_initializers=param_initializer,\n\t\t\tupdates_collections=None, epsilon=epsilon, decay=decay)\n\t\treturn output\n\n\t@staticmethod\n\tdef activation(_input, activation='relu'):\n\t\tif activation == 'relu':\n\t\t\treturn tf.nn.relu(_input)\n\t\telif activation == 'tanh':\n\t\t\treturn tf.tanh(_input)\n\t\telif activation == 'sigmoid':\n\t\t\treturn tf.sigmoid(_input)\n\t\telif activation == 'softmax':\n\t\t\treturn tf.nn.softmax(_input)\n\t\telif activation is None:\n\t\t\treturn _input\n\t\telse:\n\t\t\traise ValueError('Do not support %s' % activation)\n\n\t@staticmethod\n\tdef build_optimizer(learning_rate, opt_name, opt_param):\n\t\tif opt_name == 'momentum':\n\t\t\treturn tf.train.MomentumOptimizer(learning_rate, **opt_param)\n\t\telif opt_name == 'adam':\n\t\t\treturn tf.train.AdamOptimizer(learning_rate, **opt_param)\n\t\telse:\n\t\t\traise ValueError('Do not support the optimizer type: %s' % opt_name)\n\t\n\t@staticmethod\n\tdef flatten(_input):\n\t\tinput_shape = _input.shape.as_list()\n\t\tif len(input_shape) != 2:\n\t\t\treturn tf.reshape(_input, [-1, np.prod(input_shape[1:])])\n\t\telse:\n\t\t\treturn _input\n"
  },
  {
    "path": "Examples/cai_eas/eas/models/convnet.py",
    "content": "from models.basic_model import BasicModel\nfrom data_providers.base_provider import DataProvider\nfrom models.layers import ConvLayer, PoolLayer, FCLayer\nfrom models.layer_cascade import LayerCascade\nimport tensorflow as tf\nimport numpy as np\n\n\nclass SimpleConvnetConfig:\n\tdef __init__(self):\n\t\tself.net_config = {\n\t\t\t'weight_decay': None,\n\t\t\t'bn_epsilon': None,\n\t\t\t'bn_decay': None,\n\t\t\t'drop_scheme': None,\n\t\t}\n\t\tself.layer_cascade = None\n\t\n\t@property\n\tdef weight_decay(self): return self.net_config['weight_decay']\n\t\n\t@property\n\tdef bn_epsilon(self): return self.net_config['bn_epsilon']\n\t\n\t@property\n\tdef bn_decay(self): return self.net_config['bn_decay']\n\t\n\t@property\n\tdef drop_scheme(self): return self.net_config['drop_scheme']\n\t\n\t@property\n\tdef depth(self): return self.layer_cascade.depth\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'SimpleConvnet',\n\t\t\t**self.net_config,\n\t\t\t'layer_cascade': self.layer_cascade.get_config()\n\t\t}\n\n\tdef copy(self):\n\t\tnet_config = SimpleConvnetConfig()\n\t\tnet_config.set_net_from_config(self.get_config(), self.renew_init(None), print_info=False)\n\t\treturn net_config\n\t\n\tdef renew_init(self, convnet):\n\t\treturn {\n\t\t\t'layer_cascade': self.layer_cascade.renew_init(convnet)\n\t\t}\n\t\n\tdef set_standard_convnet(self, data_provider: DataProvider, conv_blocks_config, fc_block_config, weight_decay,\n\t\t\t\t\t\t\t drop_scheme, bn_epsilon, bn_decay, print_info=True, **kwargs):\n\t\tself.net_config = {\n\t\t\t'weight_decay': weight_decay,\n\t\t\t'bn_epsilon': bn_epsilon,\n\t\t\t'bn_decay': bn_decay,\n\t\t\t'drop_scheme': drop_scheme,\n\t\t}\n\t\t\n\t\timage_size = data_provider.data_shape[0]\n\t\t\n\t\tlayers = []\n\t\tconv_id = 0\n\t\tfor _i, block_config in enumerate(conv_blocks_config):\n\t\t\tnum_layers, kernel_size, filter_num = block_config\n\t\t\tfor _j in range(num_layers):\n\t\t\t\tkeep_prob = 1.0\n\t\t\t\tif 'conv' in drop_scheme['type']:\n\t\t\t\t\tkeep_prob = 1.0 if _i + _j == 0 else drop_scheme.get('conv_drop', 1.0)\n\t\t\t\tconv_layer = ConvLayer('conv_%d' % conv_id, filter_num, kernel_size=kernel_size, keep_prob=keep_prob,\n\t\t\t\t\t\t\t\t\t   pre_activation=False)\n\t\t\t\tconv_id += 1\n\t\t\t\tlayers.append(conv_layer)\n\t\t\tif _i < len(conv_blocks_config) - 1:\n\t\t\t\tkeep_prob = 1.0\n\t\t\t\tif 'pool' in drop_scheme['type']:\n\t\t\t\t\tkeep_prob = drop_scheme.get('pool_drop', 1.0)\n\t\t\t\tpool_layer = PoolLayer('pool_%d' % _i, 'max', keep_prob=keep_prob, pre_activation=False)\n\t\t\t\tlayers.append(pool_layer)\n\t\t\t\timage_size = image_size // 2\n\t\tglobal_avg_pool = PoolLayer('pool_%d' % len(conv_blocks_config), 'avg',\n\t\t\t\t\t\t\t\t\tkernel_size=image_size, strides=image_size, pre_activation=False)\n\t\tlayers.append(global_avg_pool)\n\t\tfor _i, units in enumerate(fc_block_config):\n\t\t\tkeep_prob = 1.0\n\t\t\tif 'fc' in drop_scheme['type']:\n\t\t\t\tkeep_prob = drop_scheme.get('fc_drop', 1.0)\n\t\t\tfc_layer = FCLayer('fc_%d' % _i, units, keep_prob=keep_prob)\n\t\t\tlayers.append(fc_layer)\n\t\tfinal_fc_layer = FCLayer('fc_%d' % len(fc_block_config), data_provider.n_classes, use_bn=False, use_bias=True,\n\t\t\t\t\t\t\t\t activation=None)\n\t\tlayers.append(final_fc_layer)\n\t\tself.layer_cascade = LayerCascade('SimpleConvNet', layers)\n\t\t\n\t\tif print_info:\n\t\t\tpass\n\t\treturn self\n\t\n\tdef set_net_from_config(self, net_config_json, init=None, print_info=True):\n\t\tfor key in self.net_config.keys():\n\t\t\tself.net_config[key] = net_config_json[key]\n\t\tinit = init['layer_cascade'] if init is not None else None\n\t\tself.layer_cascade = LayerCascade.set_from_config(net_config_json['layer_cascade'], init)\n\t\tif print_info:\n\t\t\tpass\n\t\treturn self\n\t\n\tdef widen(self, layer_idx, new_width, widen_type='output_dim', noise=None):\n\t\tchange_out_dim, _, _ = self.layer_cascade.widen(layer_idx, new_width, widen_type, noise)\n\t\tif change_out_dim:\n\t\t\traise ValueError('Can not change the final logits number')\n\t\n\tdef deepen(self, layer_idx, new_layer_config):\n\t\treturn self.layer_cascade.deepen(layer_idx, new_layer_config, None)\n\t\n\tdef set_identity4deepen(self, to_set_layers, data_provider, batch_size, batch_num=1, strict=True, noise=None):\n\t\t\"\"\"\n\t\tto_set_layers = [(new_layer, prev_layer), ...]\n\t\t\"\"\"\n\t\ttask_list = {}\n\t\tfor new_layer, prev_layer in to_set_layers:\n\t\t\tif new_layer.ready: continue\n\t\t\tif new_layer.use_bn and strict:\n\t\t\t\ttask_id = id(prev_layer)\n\t\t\t\tif task_id in task_list:\n\t\t\t\t\ttask_list[task_id][1].append(new_layer)\n\t\t\t\telse:\n\t\t\t\t\ttask_list[task_id] = (prev_layer, [new_layer])\n\t\t\telse:\n\t\t\t\tnew_layer.set_identity_layer(strict=strict, noise=noise)\n\t\tif len(task_list) > 0:\n\t\t\tmodel = SimpleConvnet(None, data_provider, None, net_config=self, only_forward=True)\n\t\t\ttask_list = list(task_list.values())\n\t\t\tfetches = [prev_layer.output_op for prev_layer, _ in task_list]\n\t\t\tstatistics = [[0, 0] for _ in task_list]\n\t\t\tfor _i in range(batch_num):\n\t\t\t\tinput_images, _ = data_provider.train.next_batch(batch_size)\n\t\t\t\toutputs = model.sess.run(fetches, feed_dict={model.images: input_images, model.is_training: False})\n\t\t\t\tfor _j, out in enumerate(outputs):\n\t\t\t\t\tout = out.astype('float32')\n\t\t\t\t\taxis = tuple(range(len(out.shape) - 1))\n\t\t\t\t\tmean = np.mean(out, axis=axis, keepdims=True)\n\t\t\t\t\tvariance = np.mean(np.square(out - mean), axis=axis, keepdims=True)\n\t\t\t\t\tmean, variance = np.squeeze(mean), np.squeeze(variance)\n\t\t\t\t\tstatistics[_j][0] += mean\n\t\t\t\t\tstatistics[_j][1] += variance\n\t\t\tfor _j, (prev_layer, new_layers) in enumerate(task_list):\n\t\t\t\tmean, variance = statistics[_j][0] / batch_num, statistics[_j][1] / batch_num\n\t\t\t\tfor new_layer in new_layers:\n\t\t\t\t\tif new_layer.ready: continue\n\t\t\t\t\tparam = {\n\t\t\t\t\t\t'moving_mean': mean,\n\t\t\t\t\t\t'moving_variance': variance,\n\t\t\t\t\t\t'epsilon': self.bn_epsilon,\n\t\t\t\t\t}\n\t\t\t\t\tnew_layer.set_identity_layer(strict=strict, param=param, noise=noise)\n\t\n\t\nclass SimpleConvnet(BasicModel):\n\tdef _build_graph(self, only_forward=False):\n\t\t_input = self.images\n\t\toutput = _input\n\t\t\n\t\toutput = self.net_config.layer_cascade.build(output, self, store_output_op=only_forward)\n\t\t\n\t\tif not only_forward:\n\t\t\tlogits = output\n\t\t\twith tf.variable_scope('L2_Loss'):\n\t\t\t\tl2_loss = tf.add_n([tf.nn.l2_loss(var) for var in tf.trainable_variables()])\n\t\t\t\n\t\t\tprediction = tf.nn.softmax(logits)\n\t\t\t\n\t\t\t# losses\n\t\t\tcross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(\n\t\t\t\tlogits=logits, labels=self.labels))\n\t\t\tself.cross_entropy = cross_entropy\n\t\t\t\n\t\t\t# optimizer and train step\n\t\t\toptimizer = self.build_optimizer(self.learning_rate,\n\t\t\t\t\t\t\t\t\t\t\t self.run_config.opt_config[0], self.run_config.opt_config[1])\n\t\t\tself.train_step = optimizer.minimize(\n\t\t\t\tcross_entropy + l2_loss * self.net_config.weight_decay)\n\t\t\tcorrect_prediction = tf.equal(\n\t\t\t\ttf.argmax(prediction, 1),\n\t\t\t\ttf.argmax(self.labels, 1))\n\t\t\tself.accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))\n"
  },
  {
    "path": "Examples/cai_eas/eas/models/dense_net.py",
    "content": "import tensorflow as tf\nfrom models.basic_model import BasicModel\nfrom models.layers import ConvLayer, FCLayer, PoolLayer, get_magnifier, apply_noise\nfrom data_providers.base_provider import DataProvider\nfrom models.layer_cascade import LayerCascade\nfrom models.layer_multi_branch import LayerMultiBranch\nimport numpy as np\n\n\ndef get_block_by_name(name):\n\tif name == 'transition':\n\t\treturn TransitionBlock\n\telif name == 'dense_block':\n\t\treturn DenseBlock\n\telse:\n\t\traise ValueError('Unsupported block type: %s' % name)\n\t\n\nclass TransitionBlock(LayerCascade):\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'transition',\n\t\t\t**super(TransitionBlock, self).get_config(),\n\t\t}\n\t\t\n\t@staticmethod\n\tdef set_from_config(config_json, init=None, return_class=True):\n\t\t_id, layers = LayerCascade.set_from_config(config_json, init, return_class=False)\n\t\treturn TransitionBlock(_id, layers)\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tsuper(TransitionBlock, self).prev_widen(indices, magnifier, noise=noise)\n\t\treturn False, None, None\n\t\n\tdef widen(self, loc, new_width, widen_type='output_dim', noise=None, input_dim=None):\n\t\treturn super(TransitionBlock, self).widen(loc['layer'], new_width, widen_type, noise=noise)\n\t\n\tdef deepen(self, loc, new_layer_config, input_dim):\n\t\treturn super(TransitionBlock, self).deepen(loc['layer'], new_layer_config, input_dim)\n\t\n\nclass DenseBlock:\n\tdef __init__(self, _id, miniblocks):\n\t\tself._id = _id\n\t\tself.miniblocks = miniblocks\n\t\t\n\t\tself.output_op = None\n\t\n\t@property\n\tdef id(self):\n\t\treturn self._id\n\t\n\t@id.setter\n\tdef id(self, value):\n\t\tself._id = value\n\t\n\t@property\n\tdef depth(self):\n\t\tdepth = 0\n\t\tfor miniblock in self.miniblocks:\n\t\t\tdepth += miniblock.depth\n\t\treturn depth\n\t\n\tdef out_features_dim(self, in_features_dim):\n\t\tout_features_dim = in_features_dim\n\t\tfor miniblock in self.miniblocks:\n\t\t\tout_features_dim += miniblock.out_features_dim\n\t\treturn out_features_dim\n\t\n\tdef build(self, _input, densenet, store_output_op=False):\n\t\toutput = _input\n\t\twith tf.variable_scope(self._id):\n\t\t\tfor miniblock in self.miniblocks:\n\t\t\t\tcomp_out = miniblock.build(output, densenet, store_output_op=store_output_op)\n\t\t\t\toutput = tf.concat(axis=3, values=(output, comp_out))\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'dense_block',\n\t\t\t'_id': self._id,\n\t\t\t'miniblocks': [miniblock.get_config() for miniblock in self.miniblocks]\n\t\t}\n\t\n\tdef renew_init(self, densenet):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'miniblocks': [miniblock.renew_init(densenet) for miniblock in self.miniblocks]\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(config_json, init=None):\n\t\t_id = config_json['_id']\n\t\tminiblocks = []\n\t\tfor _i, miniblock_config in enumerate(config_json['miniblocks']):\n\t\t\tminiblock_init = init['miniblocks'][_i] if init is not None else None\n\t\t\tminiblock = LayerMultiBranch.set_from_config(miniblock_config, miniblock_init)\n\t\t\tminiblocks.append(miniblock)\n\t\treturn DenseBlock(_id, miniblocks)\n\t\n\t\"\"\"\n\tNetwork Transformation Operations\n\t\"\"\"\n\tdef insert_miniblock(self, idx, miniblock_config, input_dim, noise=None, scheme=0):\n\t\tassert 0 <= idx < len(self.miniblocks), 'Invalid miniblock index %d' % idx\n\t\tif miniblock_config['bc_mode']:\n\t\t\t# DenseNet-BC\n\t\t\tif scheme == 0:\n\t\t\t\tcopy_idx = idx\n\t\t\t\tcopy_miniblock = self.miniblocks[copy_idx]\n\t\t\t\tnew_in_bottle = copy_miniblock.in_bottle.copy()\n\t\t\t\tnew_in_layer = new_in_bottle.layers[0]\n\t\t\t\tpad_kernel_shape = list(new_in_layer.init['kernel'].shape)\n\t\t\t\tpad_kernel_shape[2] = copy_miniblock.out_features_dim\n\t\t\t\tnew_in_layer.init['kernel'] = \\\n\t\t\t\t\tnp.concatenate([new_in_layer.init['kernel'], np.zeros(pad_kernel_shape)], axis=2)\n\t\t\t\tif new_in_layer.pre_activation and new_in_layer.use_bn:\n\t\t\t\t\tnew_in_layer.init['beta'] = \\\n\t\t\t\t\t\tnp.concatenate([new_in_layer.init['beta'], np.zeros([copy_miniblock.out_features_dim])])\n\t\t\t\t\tnew_in_layer.init['gamma'] = \\\n\t\t\t\t\t\tnp.concatenate([new_in_layer.init['gamma'], np.ones([copy_miniblock.out_features_dim])])\n\t\t\t\t\tnew_in_layer.init['moving_mean'] = \\\n\t\t\t\t\t\tnp.concatenate([new_in_layer.init['moving_mean'], np.zeros([copy_miniblock.out_features_dim])])\n\t\t\t\t\tnew_in_layer.init['moving_variance'] = \\\n\t\t\t\t\t\tnp.concatenate([new_in_layer.init['moving_variance'], np.ones([copy_miniblock.out_features_dim])])\n\t\t\t\tnew_in_layer.init['kernel'] = apply_noise(new_in_layer.init['kernel'], noise.get('wider'))\n\t\t\t\tif copy_miniblock.out_bottle is None:\n\t\t\t\t\tnew_branches, indices = copy_miniblock.remapped_branches(noise=noise)\n\t\t\t\t\tnew_miniblock = LayerMultiBranch('M_%d' % (idx + 2), new_branches,\n\t\t\t\t\t\t\t\t\t\t\t\t\t merge=copy_miniblock.merge, in_bottle=new_in_bottle)\n\t\t\t\t\told_size = len(indices)\n\t\t\t\t\tindices = np.concatenate([np.arange(old_size), indices])\n\t\t\t\t\tmagnifier = get_magnifier(old_size, indices)\n\t\t\t\t\t\n\t\t\t\t\tprev_miniblock_out_dim = input_dim\n\t\t\t\t\tfor _i in range(0, idx):\n\t\t\t\t\t\tprev_miniblock_out_dim += self.miniblocks[_i].out_features_dim\n\t\t\t\t\tindices = np.concatenate([\n\t\t\t\t\t\tnp.arange(prev_miniblock_out_dim),\n\t\t\t\t\t\tindices + prev_miniblock_out_dim,\n\t\t\t\t\t])\n\t\t\t\t\tmagnifier = np.concatenate([\n\t\t\t\t\t\t[1] * prev_miniblock_out_dim,\n\t\t\t\t\t\tmagnifier,\n\t\t\t\t\t])\n\t\t\t\t\tprev_miniblock_out_dim += old_size\n\t\t\t\t\tfor _i in range(idx + 1, len(self.miniblocks)):\n\t\t\t\t\t\tminiblock_out_dim = self.miniblocks[_i].out_features_dim\n\t\t\t\t\t\tself.miniblocks[_i].id = 'M_%d' % (_i + 2)\n\t\t\t\t\t\tself.miniblocks[_i].prev_widen(indices, magnifier, noise=noise)\n\t\t\t\t\t\tindices = np.concatenate([\n\t\t\t\t\t\t\tindices,\n\t\t\t\t\t\t\tnp.arange(prev_miniblock_out_dim, prev_miniblock_out_dim + miniblock_out_dim)\n\t\t\t\t\t\t])\n\t\t\t\t\t\tmagnifier = np.concatenate([\n\t\t\t\t\t\t\tmagnifier,\n\t\t\t\t\t\t\t[1] * miniblock_out_dim,\n\t\t\t\t\t\t])\n\t\t\t\t\t\tprev_miniblock_out_dim += miniblock_out_dim\n\t\t\t\t\tself.miniblocks = self.miniblocks[:idx + 1] + [new_miniblock] + self.miniblocks[idx + 1:]\n\t\t\t\t\treturn indices, magnifier\n\t\t\t\telse:\n\t\t\t\t\traise NotImplementedError\n\t\t\telse:\n\t\t\t\t# identity scheme\n\t\t\t\traise NotImplementedError\n\t\telse:\n\t\t\t# DenseNet without BC\n\t\t\traise NotImplementedError\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\told_size = np.max(indices) + 1\n\t\tprev_miniblock_out_dim = old_size\n\t\tfor miniblock in self.miniblocks:\n\t\t\tminiblock_out_dim = miniblock.out_features_dim\n\t\t\tminiblock.prev_widen(indices, magnifier, noise=noise)\n\t\t\tindices = np.concatenate([\n\t\t\t\tindices,\n\t\t\t\tnp.arange(prev_miniblock_out_dim, prev_miniblock_out_dim + miniblock_out_dim)\n\t\t\t])\n\t\t\tmagnifier = np.concatenate([\n\t\t\t\tmagnifier,\n\t\t\t\t[1] * miniblock_out_dim,\n\t\t\t])\n\t\t\tprev_miniblock_out_dim += miniblock_out_dim\n\t\treturn True, indices, magnifier\n\t\n\tdef widen(self, loc, new_width, widen_type='output_dim', noise=None, input_dim=3):\n\t\tminiblock_idx = loc['miniblock']\n\t\tminiblock = self.miniblocks[miniblock_idx]\n\t\told_miniblock_out_dim = miniblock.out_features_dim\n\t\tchange_out_dim, indices, magnifier = miniblock.widen(loc, new_width, widen_type, noise=noise)\n\t\tif change_out_dim:\n\t\t\tprev_miniblock_out_dim = input_dim\n\t\t\tfor _i in range(0, miniblock_idx):\n\t\t\t\tprev_miniblock_out_dim += self.miniblocks[_i].out_features_dim\n\t\t\tindices = np.concatenate([\n\t\t\t\tnp.arange(prev_miniblock_out_dim),\n\t\t\t\tindices + prev_miniblock_out_dim,\n\t\t\t])\n\t\t\tmagnifier = np.concatenate([\n\t\t\t\t[1] * prev_miniblock_out_dim,\n\t\t\t\tmagnifier,\n\t\t\t])\n\t\t\tprev_miniblock_out_dim += old_miniblock_out_dim\n\t\t\tfor _i in range(miniblock_idx + 1, len(self.miniblocks)):\n\t\t\t\tminiblock_out_dim = self.miniblocks[_i].out_features_dim\n\t\t\t\tself.miniblocks[_i].prev_widen(indices, magnifier, noise=noise)\n\t\t\t\tindices = np.concatenate([\n\t\t\t\t\tindices,\n\t\t\t\t\tnp.arange(prev_miniblock_out_dim, prev_miniblock_out_dim + miniblock_out_dim)\n\t\t\t\t])\n\t\t\t\tmagnifier = np.concatenate([\n\t\t\t\t\tmagnifier,\n\t\t\t\t\t[1] * miniblock_out_dim,\n\t\t\t\t])\n\t\t\t\tprev_miniblock_out_dim += miniblock_out_dim\n\t\t\treturn True, indices, magnifier\n\t\telse:\n\t\t\treturn False, None, None\n\t\n\tdef deepen(self, loc, new_layer_config, input_dim):\n\t\tminiblock_idx = loc['miniblock']\n\t\tfor _i in range(0, miniblock_idx):\n\t\t\tinput_dim += self.miniblocks[_i].out_features_dim\n\t\treturn self.miniblocks[miniblock_idx].deepen(loc, new_layer_config, input_dim)\n\t\t\n\nclass DenseNetConfig:\n\tdef __init__(self):\n\t\tself.net_config = {\n\t\t\t'model_type': None,\n\t\t\t'weight_decay': None,\n\t\t\t'first_ratio': None,\n\t\t\t'reduction': None,\n\t\t\t'bc_ratio': None,\n\t\t\t'bn_epsilon': None,\n\t\t\t'bn_decay': None,\n\t\t\t'pre_activation': None,\n\t\t}\n\t\tself.blocks = None\n\t\n\t@property\n\tdef model_type(self): return self.net_config['model_type']\n\t\n\t@property\n\tdef weight_decay(self): return self.net_config['weight_decay']\n\t\n\t@property\n\tdef first_ratio(self): return self.net_config['first_ratio']\n\t\n\t@property\n\tdef reduction(self): return self.net_config['reduction']\n\t\n\t@property\n\tdef bc_ratio(self): return self.net_config['bc_ratio']\n\t\n\t@property\n\tdef bn_epsilon(self): return self.net_config['bn_epsilon']\n\t\n\t@property\n\tdef bn_decay(self): return self.net_config['bn_decay']\n\t\n\t@property\n\tdef depth(self):\n\t\tdepth = 0\n\t\tfor block in self.blocks:\n\t\t\tdepth += block.depth\n\t\treturn depth\n\t\n\t@property\n\tdef average_growth_rate(self):\n\t\tgrowth_rate_list = []\n\t\tfor block in self.blocks:\n\t\t\tif isinstance(block, DenseBlock):\n\t\t\t\tfor miniblock in block.miniblocks:\n\t\t\t\t\tgrowth_rate = miniblock.out_features_dim\n\t\t\t\t\tgrowth_rate_list.append(growth_rate)\n\t\treturn np.mean(growth_rate_list)\n\t\n\tdef copy(self):\n\t\tnet_config = DenseNetConfig()\n\t\tnet_config.set_net_from_config(self.get_config(), self.renew_init(None), print_info=False)\n\t\treturn net_config\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'DenseNet',\n\t\t\t**self.net_config,\n\t\t\t'blocks': [block.get_config() for block in self.blocks]\n\t\t}\n\n\tdef renew_init(self, densenet):\n\t\treturn {\n\t\t\t'blocks': [block.renew_init(densenet) for block in self.blocks]\n\t\t}\n\t\n\tdef set_standard_dense_net(self, data_provider: DataProvider, growth_rate, depth, total_blocks,\n\t\t\t\t\t\t\t   keep_prob, weight_decay, model_type,\n\t\t\t\t\t\t\t   first_ratio=2, reduction=1.0, bc_ratio=4,\n\t\t\t\t\t\t\t   bn_epsilon=1e-5, bn_decay=0.9, print_info=True,\n\t\t\t\t\t\t\t   pre_activation=True, **kwargs):\n\t\tself.net_config = {\n\t\t\t'model_type': model_type,\n\t\t\t'weight_decay': weight_decay,\n\t\t\t'first_ratio': first_ratio,\n\t\t\t'reduction': reduction,\n\t\t\t'bc_ratio': bc_ratio,\n\t\t\t'bn_epsilon': bn_epsilon,\n\t\t\t'bn_decay': bn_decay,\n\t\t\t'pre_activation': pre_activation,\n\t\t}\n\t\t\n\t\timage_size = data_provider.data_shape[0]\n\t\t\n\t\tfirst_output_features = growth_rate * first_ratio\n\t\tbc_mode = (model_type == 'DenseNet-BC')\n\t\tlayers_per_block = (depth - (total_blocks + 1)) // total_blocks\n\t\tif bc_mode: layers_per_block = layers_per_block // 2\n\t\t\n\t\t# initial conv\n\t\tif pre_activation:\n\t\t\tinit_conv_layer = ConvLayer('conv_0', first_output_features, kernel_size=3, activation=None, use_bn=False)\n\t\telse:\n\t\t\tinit_conv_layer = ConvLayer('conv_0', first_output_features, kernel_size=3, pre_activation=False)\n\t\tinit_transition = TransitionBlock('T_0_first', [init_conv_layer])\n\t\tself.blocks = [init_transition]\n\t\t\n\t\t# Dense Blocks\n\t\tin_features_dim = first_output_features\n\t\tfor block_idx in range(1, total_blocks + 1):\n\t\t\tminiblocks = []\n\t\t\tblock_id = 'D_%d' % block_idx\n\t\t\tfor miniblock_idx in range(1, layers_per_block + 1):\n\t\t\t\tminiblock_id = 'M_%d' % miniblock_idx\n\t\t\t\tin_bottle = None\n\t\t\t\tif bc_mode:\n\t\t\t\t\tbottelneck_layer = ConvLayer('conv_0', growth_rate * bc_ratio, kernel_size=1, keep_prob=keep_prob,\n\t\t\t\t\t\t\t\t\t\t\t\t pre_activation=pre_activation)\n\t\t\t\t\tin_bottle = LayerCascade('in_bottle', [bottelneck_layer])\n\t\t\t\t\n\t\t\t\tbranch_0 = LayerCascade('B_0', [\n\t\t\t\t\tConvLayer('conv_0', growth_rate, kernel_size=3,\n\t\t\t\t\t\t\t  keep_prob=keep_prob, pre_activation=pre_activation)\n\t\t\t\t])\n\t\t\t\tminiblocks.append(LayerMultiBranch(miniblock_id, [branch_0], in_bottle=in_bottle))\n\t\t\tdense_block = DenseBlock(block_id, miniblocks)\n\t\t\tself.blocks += [dense_block]\n\t\t\t\n\t\t\tout_features_dim = dense_block.out_features_dim(in_features_dim)\n\t\t\tif block_idx != total_blocks:\n\t\t\t\tout_features_dim = int(out_features_dim * reduction)\n\t\t\t\ttransition_id = 'T_%d_middle' % block_idx\n\t\t\t\tconv_layer = ConvLayer('conv_0', out_features_dim, kernel_size=1, keep_prob=keep_prob,\n\t\t\t\t\t\t\t\t\t   pre_activation=pre_activation)\n\t\t\t\tavg_pool_layer = PoolLayer('pool_0', 'avg', kernel_size=2, strides=2)\n\t\t\t\ttransition = TransitionBlock(transition_id, [conv_layer, avg_pool_layer])\n\t\t\t\tself.blocks.append(transition)\n\t\t\t\timage_size = image_size // 2\n\t\t\tin_features_dim = out_features_dim\n\t\t\n\t\t# Transition to classes\n\t\tif pre_activation:\n\t\t\tglobal_avg_pool = PoolLayer('pool_0', 'avg', kernel_size=image_size, strides=image_size,\n\t\t\t\t\t\t\t\t\t\tactivation='relu', use_bn=True)\n\t\telse:\n\t\t\tglobal_avg_pool = PoolLayer('pool_0', 'avg', kernel_size=image_size, strides=image_size,\n\t\t\t\t\t\t\t\t\t\tpre_activation=False)\n\t\tfinal_fc_layer = FCLayer('fc_0', data_provider.n_classes, use_bn=False, use_bias=True, activation=None)\n\t\ttransition_to_classes = TransitionBlock('T_to_classes', [global_avg_pool, final_fc_layer])\n\t\tself.blocks.append(transition_to_classes)\n\t\t\n\t\t# print information about the network\n\t\tif print_info:\n\t\t\tprint('Set Standard %s' % model_type)\n\t\t\n\t\t\tif not bc_mode:\n\t\t\t\tprint('Build %s model with %d blocks, '\n\t\t\t\t\t  '%d composite layers each.' % (model_type, total_blocks, layers_per_block))\n\t\t\tif bc_mode:\n\t\t\t\tprint('Build %s model with %d blocks, '\n\t\t\t\t\t  '%d bottleneck layers and %d composite layers each.' % (\n\t\t\t\t\t\t  model_type, total_blocks, layers_per_block, layers_per_block))\n\t\t\tprint('Reduction at transition layers: %.2f' % reduction)\n\t\treturn self\n\t\t\n\tdef set_net_from_config(self, net_config_json, init=None, print_info=True):\n\t\t# load config and init (if exist)\n\t\tfor key in self.net_config.keys():\n\t\t\tself.net_config[key] = net_config_json[key]\n\t\tself.blocks = []\n\t\tfor _i, block_config in enumerate(net_config_json['blocks']):\n\t\t\tblock_init = init['blocks'][_i] if init is not None else None\n\t\t\tblock = get_block_by_name(block_config['name'])\n\t\t\tself.blocks.append(block.set_from_config(block_config, block_init))\n\t\tif print_info:\n\t\t\tprint('Set DenseNet from config:')\n\t\t\tfor k, v in self.net_config.items():\n\t\t\t\tprint('\\t%s: %s' % (k, v))\n\t\t\tprint('\\t%s: %d' % ('depth', self.depth))\n\t\treturn self\n\t\n\tdef widen(self, loc, new_width, widen_type='output_dim', noise=None, image_channel=3):\n\t\t\"\"\"\n\t\twiden_type: \"output_dim\" or \"kernel\"\n\t\t\"\"\"\n\t\tblock_idx = loc['block']\n\t\tif block_idx == 0:\n\t\t\tinput_dim = image_channel\n\t\telif isinstance(self.blocks[block_idx - 1], TransitionBlock):\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim\n\t\telse:\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim(self.blocks[block_idx - 2].out_features_dim)\n\t\t\n\t\tchange_out_dim, indices, magnifier = \\\n\t\t\tself.blocks[block_idx].widen(loc, new_width, widen_type, noise=noise, input_dim=input_dim)\n\t\twhile change_out_dim:\n\t\t\tchange_out_dim, indices, magnifier = self.blocks[block_idx + 1].prev_widen(indices, magnifier, noise=noise)\n\t\t\tblock_idx += 1\n\t\t\n\tdef deepen(self, loc, new_layer_config, image_channel=3):\n\t\tnew_layer_config['pre_activation'] = self.net_config['pre_activation']\n\t\tblock_idx = loc['block']\n\t\tif block_idx == 0:\n\t\t\tinput_dim = image_channel\n\t\telif isinstance(self.blocks[block_idx - 1], TransitionBlock):\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim\n\t\telse:\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim(self.blocks[block_idx - 2].out_features_dim)\n\t\t\n\t\treturn self.blocks[block_idx].deepen(loc, new_layer_config, input_dim)\n\t\n\tdef set_identity4deepen(self, to_set_layers, data_provider, batch_size, batch_num=1, strict=True, noise=None):\n\t\t\"\"\"\n\t\tto_set_layers = [(new_layer, prev_layer), ...]\n\t\t\"\"\"\n\t\ttask_list = {}\n\t\tfor new_layer, prev_layer in to_set_layers:\n\t\t\tif new_layer.ready: continue\n\t\t\tif new_layer.use_bn and strict:\n\t\t\t\ttask_id = id(prev_layer)\n\t\t\t\tif task_id in task_list:\n\t\t\t\t\ttask_list[task_id][1].append(new_layer)\n\t\t\t\telse:\n\t\t\t\t\ttask_list[task_id] = (prev_layer, [new_layer])\n\t\t\telse:\n\t\t\t\tnew_layer.set_identity_layer(strict=strict, noise=noise)\n\t\tif len(task_list) > 0:\n\t\t\tmodel = DenseNet(None, data_provider, None, net_config=self, only_forward=True)\n\t\t\ttask_list = list(task_list.values())\n\t\t\tfetches = [prev_layer.output_op for prev_layer, _ in task_list]\n\t\t\tstatistics = [[0, 0] for _ in task_list]\n\t\t\tfor _i in range(batch_num):\n\t\t\t\tinput_images, _ = data_provider.train.next_batch(batch_size)\n\t\t\t\toutputs = model.sess.run(fetches, feed_dict={model.images: input_images, model.is_training: False})\n\t\t\t\tfor _j, out in enumerate(outputs):\n\t\t\t\t\tout = out.astype('float32')\n\t\t\t\t\taxis = tuple(range(len(out.shape) - 1))\n\t\t\t\t\tmean = np.mean(out, axis=axis, keepdims=True)\n\t\t\t\t\tvariance = np.mean(np.square(out - mean), axis=axis, keepdims=True)\n\t\t\t\t\tmean, variance = np.squeeze(mean), np.squeeze(variance)\n\t\t\t\t\tstatistics[_j][0] += mean\n\t\t\t\t\tstatistics[_j][1] += variance\n\t\t\tfor _j, (prev_layer, new_layers) in enumerate(task_list):\n\t\t\t\tmean, variance = statistics[_j][0] / batch_num, statistics[_j][1] / batch_num\n\t\t\t\tfor new_layer in new_layers:\n\t\t\t\t\tif new_layer.ready: continue\n\t\t\t\t\tparam = {\n\t\t\t\t\t\t'moving_mean': mean,\n\t\t\t\t\t\t'moving_variance': variance,\n\t\t\t\t\t\t'epsilon': self.bn_epsilon,\n\t\t\t\t\t}\n\t\t\t\t\tnew_layer.set_identity_layer(strict=strict, param=param, noise=noise)\n\t\n\tdef insert_miniblock(self, loc, miniblock_config, image_channel=3, noise=None):\n\t\tblock_idx = loc['block']\n\t\tif block_idx == 0:\n\t\t\tinput_dim = image_channel\n\t\telif isinstance(self.blocks[block_idx - 1], TransitionBlock):\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim\n\t\telse:\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim(self.blocks[block_idx - 2].out_features_dim)\n\t\t\n\t\tassert isinstance(self.blocks[block_idx], DenseBlock), 'Invalid'\n\t\tindices, magnifier = \\\n\t\t\tself.blocks[block_idx].insert_miniblock(loc['miniblock'], miniblock_config, input_dim, noise=noise)\n\t\tself.blocks[block_idx + 1].prev_widen(indices, magnifier, noise=noise)\n\t\t\n\t\t\nclass DenseNet(BasicModel):\n\tdef _build_graph(self, only_forward=False):\n\t\t_input = self.images\n\t\toutput = _input\n\t\t# building blocks (transition and dense)\n\t\tfor block in self.net_config.blocks:\n\t\t\toutput = block.build(output, self, store_output_op=only_forward)\n\t\t\n\t\tif not only_forward:\n\t\t\tlogits = output\n\t\t\twith tf.variable_scope('L2_Loss'):\n\t\t\t\tl2_loss = tf.add_n([tf.nn.l2_loss(var) for var in tf.trainable_variables()])\n\t\t\t\n\t\t\tprediction = tf.nn.softmax(logits)\n\t\t\t\n\t\t\t# losses\n\t\t\tcross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(\n\t\t\t\tlogits=logits, labels=self.labels))\n\t\t\tself.cross_entropy = cross_entropy\n\t\t\t\n\t\t\t# optimizer and train step\n\t\t\toptimizer = self.build_optimizer(self.learning_rate,\n\t\t\t\t\t\t\t\t\t\t\t self.run_config.opt_config[0], self.run_config.opt_config[1])\n\t\t\tself.train_step = optimizer.minimize(\n\t\t\t\tcross_entropy + l2_loss * self.net_config.weight_decay)\n\t\t\tcorrect_prediction = tf.equal(\n\t\t\t\ttf.argmax(prediction, 1),\n\t\t\t\ttf.argmax(self.labels, 1))\n\t\t\tself.accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))\n"
  },
  {
    "path": "Examples/cai_eas/eas/models/layer_cascade.py",
    "content": "from models.layers import ConvLayer, FCLayer, PoolLayer, get_layer_by_name\nimport tensorflow as tf\n\n\nclass LayerCascade:\n\tdef __init__(self, _id, layers):\n\t\tself._id = _id\n\t\tself.layers = layers\n\t\t\n\t\tself.output_op = None\n\t\n\t@property\n\tdef id(self):\n\t\treturn self._id\n\t\n\t@id.setter\n\tdef id(self, value):\n\t\tself._id = value\n\t\n\t@property\n\tdef out_features_dim(self):\n\t\tfor layer in self.layers[::-1]:\n\t\t\tif isinstance(layer, ConvLayer):\n\t\t\t\treturn layer.filter_num\n\t\t\telif isinstance(layer, FCLayer):\n\t\t\t\treturn layer.units\n\t\treturn None\n\t\n\t@property\n\tdef depth(self):\n\t\tdepth = 0\n\t\tfor layer in self.layers:\n\t\t\tif isinstance(layer, ConvLayer) or isinstance(layer, FCLayer):\n\t\t\t\tdepth += 1\n\t\treturn depth\n\t\n\tdef get_str(self):\n\t\tlayers_str = [layer.layer_str for layer in self.layers]\n\t\treturn '-'.join(layers_str)\n\t\n\tdef build(self, _input, densenet, store_output_op=False):\n\t\toutput = _input\n\t\twith tf.variable_scope(self._id):\n\t\t\tfor layer in self.layers:\n\t\t\t\toutput = layer.build(output, densenet, store_output_op=store_output_op)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'layers': [layer.get_config() for layer in self.layers]\n\t\t}\n\t\n\tdef renew_init(self, densenet):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'layers': [layer.renew_init(densenet) for layer in self.layers]\n\t\t}\n\t\n\tdef copy(self):\n\t\treturn self.set_from_config(self.get_config(), init=self.renew_init(None))\n\t\n\t@staticmethod\n\tdef set_from_config(config_json, init=None, return_class=True):\n\t\t_id = config_json['_id']\n\t\tlayers = []\n\t\tfor _i, layer_config in enumerate(config_json['layers']):\n\t\t\tlayer_init = init['layers'][_i] if init is not None else None\n\t\t\tlayer = get_layer_by_name(layer_config['name'])\n\t\t\tlayers.append(layer.set_from_config(layer_config, layer_init))\n\t\tif return_class:\n\t\t\treturn LayerCascade(_id, layers)\n\t\telse:\n\t\t\treturn _id, layers\n\t\n\t\"\"\"\n\tNetwork Transformation Operations\n\t\"\"\"\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tfor layer in self.layers:\n\t\t\tif isinstance(layer, ConvLayer) or isinstance(layer, FCLayer):\n\t\t\t\tlayer.prev_widen(indices, magnifier, noise=noise)\n\t\t\t\tbreak\n\t\t\telse:\n\t\t\t\tlayer.prev_widen(indices, magnifier, noise=noise)\n\t\n\tdef widen(self, idx, new_width, widen_type='output_dim', noise=None):\n\t\tassert idx < len(self.layers), 'Index out of range: %d' % idx\n\t\tif widen_type == 'output_dim':\n\t\t\tassert isinstance(self.layers[idx], ConvLayer) or \\\n\t\t\t\t   isinstance(self.layers[idx], FCLayer), 'Operation not available'\n\t\t\tto_widen_layer = self.layers[idx]\n\t\t\t\n\t\t\tif isinstance(to_widen_layer, ConvLayer):\n\t\t\t\tindices, magnifier = to_widen_layer.widen_filters(new_filter_num=new_width, noise=noise)\n\t\t\telse:\n\t\t\t\tindices, magnifier = to_widen_layer.widen_units(new_units_num=new_width, noise=noise)\n\t\t\tafter_widen_layer = None\n\t\t\tfor _i in range(idx + 1, len(self.layers)):\n\t\t\t\tif isinstance(self.layers[_i], ConvLayer) or isinstance(self.layers[_i], FCLayer):\n\t\t\t\t\tself.layers[_i].prev_widen(indices, magnifier, noise=noise)\n\t\t\t\t\tafter_widen_layer = self.layers[_i]\n\t\t\t\t\tbreak\n\t\t\t\telse:\n\t\t\t\t\tself.layers[_i].prev_widen(indices, magnifier, noise=noise)\n\t\t\treturn after_widen_layer is None, indices, magnifier\n\t\telse:\n\t\t\traise ValueError('%s is not supported' % widen_type)\n\t\n\tdef deepen(self, idx, new_layer_config, input_dim):\n\t\tassert idx < len(self.layers), 'Index out of range: %d' % idx\n\t\tif new_layer_config['name'] == 'fc':\n\t\t\tassert idx == len(self.layers) - 1 or isinstance(self.layers[idx + 1], FCLayer), 'Invalid'\n\t\t\tassert isinstance(self.layers[idx], FCLayer) or isinstance(self.layers[idx], PoolLayer), 'Invalid'\n\t\t\t# prepare the new fc layer\n\t\t\tunits = input_dim\n\t\t\tfor _i in range(idx, -1, -1):\n\t\t\t\tif isinstance(self.layers[_i], FCLayer):\n\t\t\t\t\tunits = self.layers[_i].units\n\t\t\t\t\tbreak\n\t\t\t\telif isinstance(self.layers[_i], ConvLayer):\n\t\t\t\t\tunits = self.layers[_i].filter_num\n\t\t\t\t\tbreak\n\t\t\tfc_idx = 0\n\t\t\tfor _i in range(0, idx + 1):\n\t\t\t\tif isinstance(self.layers[_i], FCLayer):\n\t\t\t\t\tfc_idx += 1\n\t\t\t_id = 'fc_%d' % fc_idx\n\t\t\t# change the id of following fc layers\n\t\t\tfor _i in range(idx + 1, len(self.layers)):\n\t\t\t\tif isinstance(self.layers[_i], FCLayer):\n\t\t\t\t\tself.layers[_i].id = 'fc_%d' % (fc_idx + 1)\n\t\t\t\t\tfc_idx += 1\n\t\t\tprev_layer = None\n\t\t\tfor _i in range(idx, -1, -1):\n\t\t\t\tif self.layers[_i].ready:\n\t\t\t\t\tprev_layer = self.layers[_i]\n\t\t\t\t\tbreak\n\t\t\tassert prev_layer is not None, 'Invalid'\n\t\t\tnew_fc_layer = FCLayer(_id, units, ready=False, **new_layer_config)\n\t\t\t# insert the new layer into the cascade\n\t\t\tself.layers = self.layers[:idx + 1] + [new_fc_layer] + self.layers[idx + 1:]\n\t\t\treturn new_fc_layer, prev_layer\n\t\telif new_layer_config['name'] == 'conv':\n\t\t\tassert idx == len(self.layers) - 1 or not isinstance(self.layers[idx + 1], FCLayer), 'Invalid'\n\t\t\tassert isinstance(self.layers[idx], ConvLayer) or isinstance(self.layers[idx], FCLayer), 'Invalid'\n\t\t\t# prepare the new conv layer\n\t\t\tfilter_num = input_dim\n\t\t\tfor _i in range(idx, -1, -1):\n\t\t\t\tif isinstance(self.layers[_i], ConvLayer):\n\t\t\t\t\tfilter_num = self.layers[_i].filter_num\n\t\t\t\t\tbreak\n\t\t\tconv_idx = 0\n\t\t\tfor _i in range(0, idx + 1):\n\t\t\t\tif isinstance(self.layers[_i], ConvLayer):\n\t\t\t\t\tconv_idx += 1\n\t\t\t_id = 'conv_%d' % conv_idx\n\t\t\t# change the id of following conv layers\n\t\t\tfor _i in range(idx + 1, len(self.layers)):\n\t\t\t\tif isinstance(self.layers[_i], ConvLayer):\n\t\t\t\t\tself.layers[_i].id = 'conv_%d' % (conv_idx + 1)\n\t\t\t\t\tconv_idx += 1\n\t\t\tprev_layer = None\n\t\t\tfor _i in range(idx, -1, -1):\n\t\t\t\tif self.layers[_i].ready:\n\t\t\t\t\tprev_layer = self.layers[_i]\n\t\t\t\t\tbreak\n\t\t\tassert prev_layer is not None, 'Invalid'\n\t\t\tnew_conv_layer = ConvLayer(_id, filter_num, ready=False, **new_layer_config)\n\t\t\tself.layers = self.layers[:idx + 1] + [new_conv_layer] + self.layers[idx + 1:]\n\t\t\treturn new_conv_layer, prev_layer\n\t\telse:\n\t\t\traise ValueError('Not support to insert a %s layer' % new_layer_config['name'])\n"
  },
  {
    "path": "Examples/cai_eas/eas/models/layer_multi_branch.py",
    "content": "import tensorflow as tf\nimport numpy as np\nfrom models.layer_cascade import LayerCascade\n\n\nclass LayerMultiBranch:\n\tdef __init__(self, _id, branches, merge=None, in_bottle=None, out_bottle=None):\n\t\tself._id = _id\n\t\tself.in_bottle = in_bottle\n\t\tself.branches = branches\n\t\tself.out_bottle = out_bottle\n\t\tself.merge = merge\n\t\tif self.merge == 'add':\n\t\t\tout_dim = []\n\t\t\tfor branch in self.branches:\n\t\t\t\tout_dim.append(branch.out_features_dim)\n\t\t\tassert np.std(out_dim) == 0, '<%s> require the output dim of all branches are the same' % self.merge\n\t\telif self.merge is None:\n\t\t\tassert len(self.branches) == 1, 'Invalid'\n\t\t\n\t\tself.output_op = None\n\t\n\t@property\n\tdef id(self):\n\t\treturn self._id\n\t\n\t@id.setter\n\tdef id(self, value):\n\t\tself._id = value\n\t\n\t@property\n\tdef out_features_dim(self):\n\t\tif self.out_bottle:\n\t\t\treturn self.out_bottle.out_features_dim\n\t\tout_dim = []\n\t\tfor branch in self.branches:\n\t\t\tout_dim.append(branch.out_features_dim)\n\t\tif self.merge == 'concat':\n\t\t\treturn np.sum(out_dim)\n\t\telif self.merge == 'add' or self.merge is None:\n\t\t\treturn out_dim[0]\n\t\telse:\n\t\t\tpass\n\t\n\t@property\n\tdef depth(self):\n\t\tdepth = 0\n\t\tif self.in_bottle:\n\t\t\tdepth += self.in_bottle.depth\n\t\tif self.out_bottle:\n\t\t\tdepth += self.out_bottle.depth\n\t\tbranch_depth = []\n\t\tfor branch in self.branches:\n\t\t\tbranch_depth.append(branch.depth)\n\t\tdepth += np.max(branch_depth)\n\t\treturn depth\n\t\n\tdef get_str(self):\n\t\tin_bottle_str = 'N' if self.in_bottle is None else self.in_bottle.get_str()\n\t\tbranches_str = [branch.get_str() for branch in self.branches]\n\t\tbranches_str = '+'.join(branches_str)\n\t\tout_bottle_str = 'N' if self.out_bottle is None else self.out_bottle.get_str()\n\t\treturn '%s~%s~%s' % (in_bottle_str, branches_str, out_bottle_str)\n\t\n\tdef build(self, _input, densenet, store_output_op=False):\n\t\twith tf.variable_scope(self._id):\n\t\t\toutput = _input\n\t\t\t# in bottle\n\t\t\tif self.in_bottle:\n\t\t\t\toutput = self.in_bottle.build(output, densenet, store_output_op=store_output_op)\n\t\t\t# branches\n\t\t\tbranch_out = []\n\t\t\tfor branch in self.branches:\n\t\t\t\tbranch_out.append(branch.build(output, densenet, store_output_op=store_output_op))\n\t\t\tif self.merge == 'concat':\n\t\t\t\toutput = tf.concat(branch_out, axis=3)\n\t\t\telif self.merge == 'add':\n\t\t\t\toutput = tf.add_n(branch_out)\n\t\t\telif self.merge is None:\n\t\t\t\toutput = branch_out[0]\n\t\t\telse:\n\t\t\t\traise ValueError('Do not support <%s>' % self.merge)\n\t\t\t# out bottle\n\t\t\tif self.out_bottle:\n\t\t\t\toutput = self.out_bottle.build(output, densenet, store_output_op=store_output_op)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'merge': self.merge,\n\t\t\t'branches': [branch.get_config() for branch in self.branches],\n\t\t\t'in_bottle': None if self.in_bottle is None else self.in_bottle.get_config(),\n\t\t\t'out_bottle': None if self.out_bottle is None else self.out_bottle.get_config(),\n\t\t}\n\t\n\tdef renew_init(self, densenet):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'branches': [branch.renew_init(densenet) for branch in self.branches],\n\t\t\t'in_bottle': None if self.in_bottle is None else self.in_bottle.renew_init(densenet),\n\t\t\t'out_bottle': None if self.out_bottle is None else self.out_bottle.renew_init(densenet),\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(config_json, init=None):\n\t\t_id = config_json['_id']\n\t\tmerge = config_json['merge']\n\t\tbranches = []\n\t\tfor _i, branch_config in enumerate(config_json['branches']):\n\t\t\tbranch_init = init['branches'][_i] if init is not None else None\n\t\t\tbranch = LayerCascade.set_from_config(branch_config, branch_init)\n\t\t\tbranches.append(branch)\n\t\tin_bottle = config_json['in_bottle']\n\t\tif in_bottle:\n\t\t\tin_bottle_init = init['in_bottle'] if init is not None else None\n\t\t\tin_bottle = LayerCascade.set_from_config(in_bottle, in_bottle_init)\n\t\tout_bottle = config_json['out_bottle']\n\t\tif out_bottle:\n\t\t\tout_bottle_init = init['out_bottle'] if init is not None else None\n\t\t\tout_bottle = LayerCascade.set_from_config(out_bottle, out_bottle_init)\n\t\treturn LayerMultiBranch(_id, branches, merge, in_bottle=in_bottle, out_bottle=out_bottle)\n\t\n\t\"\"\"\n\tNetwork Transformation Operations\n\t\"\"\"\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tif self.in_bottle:\n\t\t\tself.in_bottle.prev_widen(indices, magnifier, noise=noise)\n\t\telse:\n\t\t\tfor branch in self.branches:\n\t\t\t\tbranch.prev_widen(indices, magnifier, noise=noise)\n\t\n\tdef widen(self, loc, new_width, widen_type='output_dim', noise=None):\n\t\tif loc['multi-branch'] == 'in_bottle':\n\t\t\tassert self.in_bottle is not None, 'Invalid'\n\t\t\tchange_out_dim, indices, magnifier = self.in_bottle.widen(loc['layer'], new_width, widen_type, noise=noise)\n\t\t\tif change_out_dim:\n\t\t\t\tfor branch in self.branches:\n\t\t\t\t\tbranch.prev_widen(indices, magnifier, noise=noise)\n\t\t\treturn False, None, None\n\t\telif loc['multi-branch'] == 'out_bottle':\n\t\t\tassert self.out_bottle is not None, 'Invalid'\n\t\t\tchange_out_dim, indices, magnifier = self.out_bottle.widen(loc['layer'], new_width, widen_type, noise=noise)\n\t\t\treturn change_out_dim, indices, magnifier\n\t\telif loc['multi-branch'] == 'branch':\n\t\t\tbranch_idx = loc['branch']\n\t\t\tbranch = self.branches[branch_idx]\n\t\t\told_branch_out_dim = branch.out_features_dim\n\t\t\tchange_out_dim, indices, magnifier = branch.widen(loc['layer'], new_width, widen_type, noise=noise)\n\t\t\tif change_out_dim:\n\t\t\t\tassert self.merge != 'add', 'Invalid'\n\t\t\t\tprev_branch_out_dim = 0\n\t\t\t\tfor _i in range(0, branch_idx):\n\t\t\t\t\tprev_branch_out_dim += self.branches[_i].out_features_dim\n\t\t\t\tpost_branch_out_dim = 0\n\t\t\t\tfor _i in range(branch_idx + 1, len(self.branches)):\n\t\t\t\t\tpost_branch_out_dim += self.branches[_i].out_features_dim\n\t\t\t\told_size = prev_branch_out_dim + old_branch_out_dim + post_branch_out_dim\n\t\t\t\tbase = np.arange(old_size)\n\t\t\t\tindices = np.concatenate([\n\t\t\t\t\tbase[:prev_branch_out_dim],\n\t\t\t\t\tindices + prev_branch_out_dim,\n\t\t\t\t\tbase[prev_branch_out_dim + old_branch_out_dim:]\n\t\t\t\t])\n\t\t\t\tmagnifier = np.concatenate([\n\t\t\t\t\t[1] * prev_branch_out_dim,\n\t\t\t\t\tmagnifier,\n\t\t\t\t\t[1] * post_branch_out_dim,\n\t\t\t\t])\n\t\t\t\tif self.out_bottle is None:\n\t\t\t\t\treturn True, indices, magnifier\n\t\t\t\telse:\n\t\t\t\t\tself.out_bottle.prev_widen(indices, magnifier, noise=noise)\n\t\t\t\t\treturn False, None, None\n\t\t\telse:\n\t\t\t\treturn False, None, None\n\t\telse:\n\t\t\traise ValueError('Do not support %s' % loc['multi-branch'])\n\t\n\tdef deepen(self, loc, new_layer_config, input_dim):\n\t\tif loc['multi-branch'] == 'in_bottle':\n\t\t\tassert self.in_bottle is not None, 'Invalid'\n\t\t\treturn self.in_bottle.deepen(loc['layer'], new_layer_config, input_dim)\n\t\telif loc['multi-branch'] == 'out_bottle':\n\t\t\tassert self.out_bottle is not None, 'Invalid'\n\t\t\tif self.merge == 'concat': input_dim = np.sum([branch.out_features_dim for branch in self.branches])\n\t\t\telse: input_dim = self.branches[0].out_features_dim\n\t\t\treturn self.out_bottle.deepen(loc['layer'], new_layer_config, input_dim)\n\t\telif loc['multi-branch'] == 'branch':\n\t\t\tif self.in_bottle is not None: input_dim = self.in_bottle.out_features_dim\n\t\t\treturn self.branches[loc['branch']].deepen(loc['layer'], new_layer_config, input_dim)\n\t\telse:\n\t\t\traise ValueError('Do not support %s' % loc['multi-branch'])\n\t\t\n\tdef remapped_branches(self, noise=None):\n\t\tif self.merge == 'add' or self.merge is None:\n\t\t\tsize = self.out_features_dim\n\t\t\tindices = np.random.choice(np.arange(size), size)\n\t\t\tnew_branches = []\n\t\t\tfor branch in self.branches:\n\t\t\t\tnew_layers = [layer.copy() for layer in branch.layers[:-1]]\n\t\t\t\tlast_layer = branch.layers[-1].copy().remap(indices, noise=noise)\n\t\t\t\tnew_layers.append(last_layer)\n\t\t\t\tnew_branch = LayerCascade(branch.id, new_layers)\n\t\t\t\tnew_branches.append(new_branch)\n\t\telif self.merge == 'concat':\n\t\t\tnew_branches = []\n\t\t\toffset = 0\n\t\t\tindices = []\n\t\t\tfor branch in self.branches:\n\t\t\t\tsize = branch.out_features_dim\n\t\t\t\tsub_indices = np.random.choice(np.arange(size), size)\n\t\t\t\tnew_layers = [layer.copy() for layer in branch.layers[:-1]]\n\t\t\t\tlast_layer = branch.layers[-1].copy().remap(sub_indices, noise=noise)\n\t\t\t\tnew_layers.append(last_layer)\n\t\t\t\tnew_branch = LayerCascade(branch.id, new_layers)\n\t\t\t\tnew_branches.append(new_branch)\n\t\t\t\tindices.append(sub_indices + offset)\n\t\t\t\toffset += size\n\t\t\tindices = np.concatenate(indices)\n\t\telse:\n\t\t\traise NotImplementedError\n\t\treturn new_branches, indices\n"
  },
  {
    "path": "Examples/cai_eas/eas/models/layers.py",
    "content": "from models.basic_model import BasicModel\nimport tensorflow as tf\nimport numpy as np\nimport copy\n\n\ndef apply_noise(weights, noise_config):\n\tif noise_config is None:\n\t\treturn weights\n\tnoise_type = noise_config.get('type', 'normal')\n\tif noise_type == 'normal':\n\t\tratio = noise_config.get('ratio', 1e-3)\n\t\tstd = np.std(weights)\n\t\tnoise = np.random.normal(0, std * ratio, size=weights.shape)\n\telif noise_type == 'uniform':\n\t\tratio = noise_config.get('ratio', 1e-3)\n\t\tmean, _max = np.mean(weights), np.max(weights)\n\t\twidth = (_max - mean) * ratio\n\t\tnoise = np.random.uniform(-width, width, size=weights.shape)\n\telse:\n\t\traise NotImplementedError\n\treturn weights + noise\n\n\ndef get_layer_by_name(name):\n\tif name == 'conv':\n\t\treturn ConvLayer\n\telif name == 'fc':\n\t\treturn FCLayer\n\telif name == 'pool':\n\t\treturn PoolLayer\n\telse:\n\t\traise ValueError('Unknown layer type: %s' % name)\n\n\ndef get_magnifier(old_size, indices):\n\t_l = np.zeros(old_size)\n\tfor x in indices:\n\t\t_l[x] += 1\n\tmagnifier = (1.0 / _l)[indices]\n\treturn magnifier\n\n\ndef get_random_remapping(old_size, new_size):\n\tbase = np.arange(old_size)\n\tindices = np.concatenate([base, np.random.choice(base, new_size - old_size)])\n\t\n\tmagnifier = get_magnifier(old_size, indices)\n\treturn indices, magnifier\n\n\nclass BaseLayer:\n\t\"\"\"\n\t_id, batch normalization, activation, dropout, ready\n\t\"\"\"\n\tdef __init__(self, _id, use_bn=True, activation='relu', keep_prob=1.0, ready=True, pre_activation=True):\n\t\tself._id = _id\n\t\tself.use_bn = use_bn\n\t\tself.activation = activation\n\t\tself.keep_prob = keep_prob\n\t\tself.ready = ready\n\t\tself.pre_activation = pre_activation\n\t\t\n\t\tself._scope = None\n\t\tself._init = None\n\t\tself.output_op = None\n\t\n\t@property\n\tdef id(self): return self._id\n\t\n\t@id.setter\n\tdef id(self, value): self._id = value\n\t\n\t@property\n\tdef init(self):\n\t\treturn self._init\n\t\n\t@property\n\tdef param_initializer(self):\n\t\tif self._init is None:\n\t\t\treturn None\n\t\tparam_initializer = {}\n\t\tfor key in self.variable_list.keys():\n\t\t\tif self._init[key] is not None:\n\t\t\t\tparam_initializer[key] = tf.constant_initializer(self._init[key])\n\t\tif len(param_initializer) == 0:\n\t\t\tparam_initializer = None\n\t\treturn param_initializer\n\t\n\tdef renew_init(self, net: BasicModel):\n\t\tif net is None:\n\t\t\treturn copy.deepcopy(self._init)\n\t\t\n\t\tself._init = {}\n\t\tfor key, var_name in self.variable_list.items():\n\t\t\tvar = net.graph.get_tensor_by_name('%s/%s' % (self._scope, var_name))\n\t\t\tself._init[key] = net.sess.run(var)\n\t\tif len(self._init) == 0:\n\t\t\tself._init = None\n\t\treturn copy.deepcopy(self._init)\n\t\n\tdef copy(self):\n\t\treturn self.set_from_config(self.get_config(), layer_init=copy.deepcopy(self._init))\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'_id': self.id,\n\t\t\t'use_bn': self.use_bn,\n\t\t\t'activation': self.activation,\n\t\t\t'keep_prob': self.keep_prob,\n\t\t\t'pre_activation': self.pre_activation,\n\t\t}\n\t\n\t@property\n\tdef variable_list(self):\n\t\t\"\"\"\n\t\tbeta: mean scale\n\t\tgamma: variance scale\n\t\ty = gamma * (x - moving_mean) / sqrt(epsilon + moving_variance) + beta\n\t\t\"\"\"\n\t\tif self.use_bn:\n\t\t\treturn {\n\t\t\t\t'moving_mean': 'BatchNorm/moving_mean:0',\n\t\t\t\t'moving_variance': 'BatchNorm/moving_variance:0',\n\t\t\t\t'beta': 'BatchNorm/beta:0',\n\t\t\t\t'gamma': 'BatchNorm/gamma:0',\n\t\t\t}\n\t\telse:\n\t\t\treturn {}\n\t\n\t@staticmethod\n\tdef set_from_config(layer_config, layer_init):\n\t\traise NotImplementedError\n\t\n\tdef build(self, _input, net, store_output_op):\n\t\traise NotImplementedError\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\traise NotImplementedError\n\t\n\tdef set_identity_layer(self, strict, param, noise):\n\t\traise NotImplementedError\n\t\n\tdef widen_bn(self, indices, magnifier, noise=None):\n\t\tif self.use_bn:\n\t\t\tself._init['beta'] = self._init['beta'][indices]\n\t\t\tself._init['gamma'] = self._init['gamma'][indices]\n\t\t\tself._init['moving_mean'] = self._init['moving_mean'][indices]\n\t\t\tself._init['moving_variance'] = self._init['moving_variance'][indices]\n\t\n\tdef set_bn_identity(self, strict=True, param=None, noise=None):\n\t\tif self.use_bn:\n\t\t\tif strict:\n\t\t\t\tself._init['moving_mean'] = param['moving_mean']\n\t\t\t\tself._init['moving_variance'] = param['moving_variance']\n\t\t\t\tself._init['beta'] = self._init['moving_mean']\n\t\t\t\tself._init['gamma'] = np.sqrt(self._init['moving_variance'] + param['epsilon'])\n\t\t\telse:\n\t\t\t\t# use default initialization for batch normalization layer\n\t\t\t\tself._init['moving_mean'], self._init['moving_variance'] = None, None\n\t\t\t\tself._init['beta'], self._init['gamma'] = None, None\n\t\n\t\nclass ConvLayer(BaseLayer):\n\tdef __init__(self, _id, filter_num, kernel_size=3, strides=1,\n\t\t\t\t use_bn=True, activation='relu', keep_prob=1.0, ready=True, pre_activation=True, **kwargs):\n\t\tBaseLayer.__init__(self, _id, use_bn, activation, keep_prob, ready, pre_activation)\n\t\tself.filter_num = filter_num\n\t\tself.kernel_size = kernel_size\n\t\tself.strides = strides\n\t\n\t@property\n\tdef layer_str(self):\n\t\treturn 'C%d,%d,%d' % (self.filter_num, self.kernel_size, self.strides)\n\t\t\n\t@property\n\tdef variable_list(self):\n\t\tvar_list = {'kernel': 'kernel:0'}\n\t\tvar_list.update(super(ConvLayer, self).variable_list)\n\t\treturn var_list\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'conv',\n\t\t\t'filter_num': self.filter_num,\n\t\t\t'kernel_size': self.kernel_size,\n\t\t\t'strides': self.strides,\n\t\t\t**super(ConvLayer, self).get_config(),\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(layer_config, layer_init=None):\n\t\tconv_layer = ConvLayer(**layer_config)\n\t\tconv_layer._init = layer_init\n\t\treturn conv_layer\n\t\n\tdef build(self, _input, net: BasicModel, store_output_op=False):\n\t\toutput = _input\n\t\tif not self.ready:\n\t\t\treturn output\n\t\twith tf.variable_scope(self._id):\n\t\t\tself._scope = tf.get_variable_scope().name\n\t\t\tparam_initializer = self.param_initializer\n\t\t\tif self.pre_activation:\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t\t# convolutional\n\t\t\t\toutput = BasicModel.conv2d(output, self.filter_num, self.kernel_size, self.strides,\n\t\t\t\t\t\t\t\t\t\t   param_initializer=param_initializer)\n\t\t\telse:\n\t\t\t\t# convolutional\n\t\t\t\toutput = BasicModel.conv2d(output, self.filter_num, self.kernel_size, self.strides,\n\t\t\t\t\t\t\t\t\t\t   param_initializer=param_initializer)\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t# dropout\n\t\t\toutput = BasicModel.dropout(output, self.keep_prob, net.is_training)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef widen_filters(self, new_filter_num, noise=None):\n\t\t\"\"\"\n\t\tIncrease the filter number of a conv layer while preserving the functionality\n\t\tProposed in 'Net2Net': https://arxiv.org/abs/1511.05641\n\t\t\"\"\"\n\t\tassert new_filter_num > self.filter_num, 'Invalid new filter number: %d' % new_filter_num\n\t\tassert self._init is not None, 'Uninitialized layer'\n\t\told_size, new_size = self.filter_num, new_filter_num\n\t\tindices, magnifier = get_random_remapping(old_size, new_size)\n\t\t# more filters\n\t\tself.filter_num = new_filter_num\n\t\tnew_kernel = self._init['kernel'][:, :, :, indices]\n\t\tnew_kernel[:, :, :, old_size:] = apply_noise(new_kernel[:, :, :, old_size:], noise.get('wider'))\n\t\tself._init['kernel'] = new_kernel\n\t\tif not self.pre_activation:\n\t\t\t# widen batch norm variables if use batch norm\n\t\t\tself.widen_bn(indices, magnifier, noise=noise)\n\t\treturn indices, magnifier\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tassert self._init is not None, 'Uninitialized layer'\n\t\t# rescale kernel\n\t\tself._init['kernel'] = self._init['kernel'][:, :, indices, :] * magnifier.reshape([1, 1, -1, 1])\n\t\tif self.pre_activation:\n\t\t\tself.widen_bn(indices, magnifier, noise=noise)\n\t\t\n\tdef set_identity_layer(self, strict=True, param=None, noise=None):\n\t\tself._init = {}\n\t\tself.set_bn_identity(strict, param, noise=noise)\n\t\tmid = self.kernel_size // 2\n\t\tself._init['kernel'] = np.zeros([self.kernel_size, self.kernel_size, self.filter_num, self.filter_num])\n\t\tself._init['kernel'][mid, mid] = np.eye(self.filter_num)\n\t\tself._init['kernel'] = apply_noise(self._init['kernel'], noise.get('deeper'))\n\t\tself.ready = True\n\n\tdef remap(self, indices, noise=None):\n\t\tself.filter_num = len(indices)\n\t\tself._init['kernel'] = self._init['kernel'][:, :, :, indices]\n\t\tself._init['kernel'] = apply_noise(self._init['kernel'], noise.get('wider'))\n\t\tif not self.pre_activation:\n\t\t\tself.widen_bn(indices, None, noise=noise)\n\t\treturn self\n\t\t\n\t\t\nclass FCLayer(BaseLayer):\n\tdef __init__(self, _id, units, use_bn=True, use_bias=False, activation='relu', keep_prob=1.0, ready=True,\n\t\t\t\t pre_activation=False, **kwargs):\n\t\tBaseLayer.__init__(self, _id, use_bn, activation, keep_prob, ready, pre_activation)\n\t\tself.units = units\n\t\tself.use_bias = use_bias\n\t\n\t@property\n\tdef layer_str(self):\n\t\treturn 'FC%d' % self.units\n\t\n\t@property\n\tdef variable_list(self):\n\t\tvar_list = {'W': 'W:0'}\n\t\tif self.use_bias:\n\t\t\tvar_list['bias'] = 'bias:0'\n\t\tvar_list.update(super(FCLayer, self).variable_list)\n\t\treturn var_list\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'fc',\n\t\t\t'units': self.units,\n\t\t\t'use_bias': self.use_bias,\n\t\t\t**super(FCLayer, self).get_config(),\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(layer_config, layer_init=None):\n\t\tfc_layer = FCLayer(**layer_config)\n\t\tfc_layer._init = layer_init\n\t\treturn fc_layer\n\t\n\tdef build(self, _input, net: BasicModel, store_output_op=False):\n\t\toutput = _input\n\t\tif not self.ready:\n\t\t\treturn output\n\t\twith tf.variable_scope(self._id):\n\t\t\tself._scope = tf.get_variable_scope().name\n\t\t\tparam_initializer = self.param_initializer\n\t\t\t# flatten if not\n\t\t\toutput = BasicModel.flatten(output)\n\t\t\tif self.pre_activation:\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t\t# FC\n\t\t\t\toutput = BasicModel.fc_layer(output, self.units, self.use_bias, param_initializer=param_initializer)\n\t\t\telse:\n\t\t\t\t# FC\n\t\t\t\toutput = BasicModel.fc_layer(output, self.units, self.use_bias, param_initializer=param_initializer)\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t# dropout\n\t\t\toutput = BasicModel.dropout(output, self.keep_prob, net.is_training)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef widen_units(self, new_units_num, noise=None):\n\t\t\"\"\"\n\t\tIncrease the units number of a fc layer while preserving the functionality\n\t\tProposed in 'Net2Net': https://arxiv.org/abs/1511.05641\n\t\tW: [in_dim, out_units]\n\t\tbias: [out_units]\n\t\t\"\"\"\n\t\tassert new_units_num > self.units, 'Invalid new units number: %d' % new_units_num\n\t\tassert self._init is not None, 'Uninitialized layer'\n\t\told_size, new_size = self.units, new_units_num\n\t\tindices, magnifier = get_random_remapping(old_size, new_size)\n\t\t# more units\n\t\tself._init['W'] = self._init['W'][:, indices]\n\t\tself._init['W'][:, old_size:] = apply_noise(self._init['W'][:, old_size:], noise.get('wider'))\n\t\tself.units = new_units_num\n\t\t# widen bias variable if exist\n\t\tif self.use_bias:\n\t\t\tself._init['bias'] = self._init['bias'][indices]\n\t\t\tself._init['bias'][old_size:] = apply_noise(self._init['bias'][old_size:], noise.get('wider'))\n\t\tif not self.pre_activation:\n\t\t\t# widen batch norm variables if use batch norm\n\t\t\tself.widen_bn(indices, magnifier, noise=noise)\n\t\treturn indices, magnifier\n\t\t\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tassert self._init is not None, 'Uninitialized layer'\n\t\t# rescale W\n\t\tself._init['W'] = self._init['W'][indices] * magnifier.reshape([-1, 1])\n\t\tif self.pre_activation:\n\t\t\tself.widen_bn(indices, magnifier, noise=noise)\n\t\n\tdef set_identity_layer(self, strict=True, param=None, noise=None):\n\t\tself._init = {}\n\t\tself.set_bn_identity(strict, param, noise=noise)\n\t\tif self.use_bias:\n\t\t\tself._init['bias'] = [0.0] * self.units\n\t\tself._init['W'] = np.eye(self.units)\n\t\tself._init['W'] = apply_noise(self._init['W'], noise.get('deeper'))\n\t\tself.ready = True\n\t\n\tdef remap(self, indices, noise=None):\n\t\tself.units = len(indices)\n\t\tself._init['W'] = self._init['W'][:, indices]\n\t\tself._init['W'] = apply_noise(self._init['W'], noise.get('wider'))\n\t\tif self.use_bias:\n\t\t\tself._init['bias'] = self._init['bias'][indices]\n\t\tif not self.pre_activation:\n\t\t\tself.widen_bn(indices, None, noise=noise)\n\t\treturn self\n\t\n\t\t\nclass PoolLayer(BaseLayer):\n\tdef __init__(self, _id, _type, kernel_size=2, strides=2, use_bn=False, activation=None, keep_prob=1.0,\n\t\t\t\t ready=True, pre_activation=True, **kwargs):\n\t\tBaseLayer.__init__(self, _id, use_bn, activation, keep_prob, ready, pre_activation)\n\t\t\n\t\tself._type = _type\n\t\tself.kernel_size = kernel_size\n\t\tself.strides = strides\n\t\n\t@property\n\tdef layer_str(self):\n\t\treturn 'P%d,%d' % (self.kernel_size, self.strides)\n\t\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'pool',\n\t\t\t'_type': self._type,\n\t\t\t'kernel_size': self.kernel_size,\n\t\t\t'strides': self.strides,\n\t\t\t**super(PoolLayer, self).get_config(),\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(layer_config, layer_init=None):\n\t\tpool_layer = PoolLayer(**layer_config)\n\t\tpool_layer._init = layer_init\n\t\treturn pool_layer\n\t\n\tdef build(self, _input, net: BasicModel, store_output_op=False):\n\t\toutput = _input\n\t\tif not self.ready:\n\t\t\treturn output\n\t\twith tf.variable_scope(self._id):\n\t\t\tself._scope = tf.get_variable_scope().name\n\t\t\tparam_initializer = self.param_initializer\n\t\t\tif self.pre_activation:\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t\t# Pooling\n\t\t\t\tif self._type == 'avg':\n\t\t\t\t\toutput = BasicModel.avg_pool(output, k=self.kernel_size, s=self.strides)\n\t\t\t\telif self._type == 'max':\n\t\t\t\t\toutput = BasicModel.max_pool(output, k=self.kernel_size, s=self.strides)\n\t\t\t\telse:\n\t\t\t\t\traise ValueError('Do not support the pooling type: %s' % self._type)\n\t\t\telse:\n\t\t\t\t# Pooling\n\t\t\t\tif self._type == 'avg':\n\t\t\t\t\toutput = BasicModel.avg_pool(output, k=self.kernel_size, s=self.strides)\n\t\t\t\telif self._type == 'max':\n\t\t\t\t\toutput = BasicModel.max_pool(output, k=self.kernel_size, s=self.strides)\n\t\t\t\telse:\n\t\t\t\t\traise ValueError('Do not support the pooling type: %s' % self._type)\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t# dropout\n\t\t\toutput = BasicModel.dropout(output, self.keep_prob, net.is_training)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\n\tdef set_identity_layer(self, strict=True, param=None, noise=None):\n\t\traise ValueError('Pooling layer can never be an identity layer')\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tself.widen_bn(indices, magnifier, noise=noise)\n"
  },
  {
    "path": "Examples/cai_eas/eas/models/utils.py",
    "content": "from models.dense_net import DenseNetConfig, DenseNet\nfrom models.convnet import SimpleConvnetConfig, SimpleConvnet\nimport numpy as np\n\n\ndef get_model_config_by_name(name):\n\tif name == 'DenseNet':\n\t\treturn DenseNetConfig\n\telif name == 'SimpleConvnet':\n\t\treturn SimpleConvnetConfig\n\telse:\n\t\traise ValueError('Unknown model type %s' % name)\n\n\ndef get_model_by_name(name):\n\tif name == 'DenseNet':\n\t\treturn DenseNet\n\telif name == 'SimpleConvnet':\n\t\treturn SimpleConvnet\n\telse:\n\t\traise ValueError('Unknown model type %s' % name)\n\n\nclass RunConfig:\n\tdef __init__(self, batch_size, n_epochs, init_lr, reduce_lr_epochs, reduce_lr_factors, opt_config,\n\t\t\t\t dataset, validation_size, validation_frequency, shuffle, normalization, should_save_logs,\n\t\t\t\t should_save_model, renew_logs=False, other_lr_schedule=None, include_extra=True, **kwargs):\n\t\t\n\t\tself.batch_size = batch_size\n\t\tself.n_epochs = n_epochs\n\t\tself.init_lr = init_lr\n\t\tself.reduce_lr_epochs = reduce_lr_epochs\n\t\tself.reduce_lr_factors = reduce_lr_factors\n\t\tself.opt_config = opt_config\n\t\tself.dataset = dataset\n\t\tself.validation_size = validation_size\n\t\tself.validation_frequency = validation_frequency\n\t\tself.shuffle = shuffle\n\t\tself.normalization = normalization\n\t\tself.should_save_logs = should_save_logs\n\t\tself.should_save_model = should_save_model\n\t\tself.renew_logs = renew_logs\n\t\tself.other_lr_schedule = other_lr_schedule\n\t\tself.include_extra = include_extra\n\t\n\tdef get_config(self):\n\t\treturn self.__dict__\n\t\n\tdef update(self, new_config):\n\t\tself.__dict__.update(new_config)\n\t\n\tdef copy(self):\n\t\treturn RunConfig(**self.get_config())\n\t\t\n\tdef learning_rate(self, epoch):\n\t\tif self.other_lr_schedule is None or self.other_lr_schedule.get('type') is None:\n\t\t\tlr = self.init_lr\n\t\t\tfor reduce_lr_epoch, reduce_factor in zip(self.reduce_lr_epochs, self.reduce_lr_factors):\n\t\t\t\tif epoch >= reduce_lr_epoch * self.n_epochs:\n\t\t\t\t\tlr /= reduce_factor\n\t\telse:\n\t\t\tif self.other_lr_schedule['type'] == 'cosine':\n\t\t\t\tlr_max = self.init_lr\n\t\t\t\tlr_min = self.other_lr_schedule.get('lr_min', 0)\n\t\t\t\tlr = lr_min + 0.5 * (lr_max - lr_min) * (1 + np.cos((epoch - 1) / self.n_epochs * np.pi))\n\t\t\telse:\n\t\t\t\traise ValueError('Do not support %s' % self.other_lr_schedule['type'])\n\t\treturn lr\n\n\t@staticmethod\n\tdef get_default_run_config(dataset='C10+'):\n\t\tif dataset in ['C10', 'C10+', 'C100', 'C100+']:\n\t\t\trun_config = {\n\t\t\t\t'batch_size': 64,\n\t\t\t\t'n_epochs': 30,\n\t\t\t\t'init_lr': 0.1,\n\t\t\t\t'reduce_lr_epochs': [0.5, 0.75],  # epochs * 0.5, epochs * 0.75\n\t\t\t\t'reduce_lr_factors': [10, 10],\n\t\t\t\t'opt_config': ['momentum', {'momentum': 0.9, 'use_nesterov': True}],\n\t\t\t\t'dataset': dataset,  # choices = [C10, C10+, C100, C100+]\n\t\t\t\t'validation_size': None,  # None or int\n\t\t\t\t'validation_frequency': 10,\n\t\t\t\t'shuffle': 'every_epoch',  # None, once_prior_train, every_epoch\n\t\t\t\t'normalization': 'by_channels',  # None, divide_256, divide_255, by_channels\n\t\t\t\t'should_save_logs': True,\n\t\t\t\t'should_save_model': True,\n\t\t\t\t'renew_logs': True,\n\t\t\t\t'other_lr_schedule': {'type': 'cosine'},  # None, or cosine\n\t\t\t}\n\t\telif dataset in ['SVHN']:\n\t\t\trun_config = {\n\t\t\t\t'batch_size': 64,\n\t\t\t\t'n_epochs': 40,\n\t\t\t\t'init_lr': 0.1,\n\t\t\t\t'reduce_lr_epochs': [0.5, 0.75],  # epochs * 0.5, epochs * 0.75\n\t\t\t\t'reduce_lr_factors': [10, 10],\n\t\t\t\t'opt_config': ['momentum', {'momentum': 0.9, 'use_nesterov': True}],\n\t\t\t\t'dataset': dataset,  # choices = [C10, C10+, C100, C100+]\n\t\t\t\t'validation_size': None,  # None or int\n\t\t\t\t'validation_frequency': 1,\n\t\t\t\t'shuffle': True,\n\t\t\t\t'normalization': 'divide_255',  # None, divide_256, divide_255, by_channels\n\t\t\t\t'should_save_logs': True,\n\t\t\t\t'should_save_model': True,\n\t\t\t\t'renew_logs': True,\n\t\t\t\t'other_lr_schedule': {'type': 'cosine'},  # None, or cosine\n\t\t\t\t'include_extra': False,\n\t\t\t}\n\t\telse:\n\t\t\traise ValueError\n\t\treturn run_config\n\n"
  },
  {
    "path": "Examples/cai_eas/start_nets/start_net_convnet_small_C10+/net.config",
    "content": "{\n    \"name\": \"SimpleConvnet\",\n    \"weight_decay\": 0.0001,\n    \"bn_epsilon\": 1e-05,\n    \"bn_decay\": 0.9,\n    \"drop_scheme\": {\n        \"type\": \"conv\",\n        \"conv_drop\": 1.0,\n        \"pool_drop\": 0.7,\n        \"fc_drop\": 0.5\n    },\n    \"layer_cascade\": {\n        \"_id\": \"SimpleConvNet\",\n        \"layers\": [\n            {\n                \"name\": \"conv\",\n                \"filter_num\": 4,\n                \"kernel_size\": 3,\n                \"strides\": 1,\n                \"_id\": \"conv_0\",\n                \"use_bn\": true,\n                \"activation\": \"relu\",\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"pool\",\n                \"_type\": \"max\",\n                \"kernel_size\": 2,\n                \"strides\": 2,\n                \"_id\": \"pool_0\",\n                \"use_bn\": false,\n                \"activation\": null,\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"conv\",\n                \"filter_num\": 4,\n                \"kernel_size\": 3,\n                \"strides\": 1,\n                \"_id\": \"conv_1\",\n                \"use_bn\": true,\n                \"activation\": \"relu\",\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"pool\",\n                \"_type\": \"max\",\n                \"kernel_size\": 2,\n                \"strides\": 2,\n                \"_id\": \"pool_1\",\n                \"use_bn\": false,\n                \"activation\": null,\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"conv\",\n                \"filter_num\": 4,\n                \"kernel_size\": 3,\n                \"strides\": 1,\n                \"_id\": \"conv_2\",\n                \"use_bn\": true,\n                \"activation\": \"relu\",\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"pool\",\n                \"_type\": \"max\",\n                \"kernel_size\": 2,\n                \"strides\": 2,\n                \"_id\": \"pool_2\",\n                \"use_bn\": false,\n                \"activation\": null,\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"conv\",\n                \"filter_num\": 4,\n                \"kernel_size\": 3,\n                \"strides\": 1,\n                \"_id\": \"conv_3\",\n                \"use_bn\": true,\n                \"activation\": \"relu\",\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"pool\",\n                \"_type\": \"avg\",\n                \"kernel_size\": 4,\n                \"strides\": 4,\n                \"_id\": \"pool_4\",\n                \"use_bn\": false,\n                \"activation\": null,\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"fc\",\n                \"units\": 8,\n                \"use_bias\": false,\n                \"_id\": \"fc_0\",\n                \"use_bn\": true,\n                \"activation\": \"relu\",\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            },\n            {\n                \"name\": \"fc\",\n                \"units\": 10,\n                \"use_bias\": true,\n                \"_id\": \"fc_1\",\n                \"use_bn\": false,\n                \"activation\": null,\n                \"keep_prob\": 1.0,\n                \"pre_activation\": false\n            }\n        ]\n    }\n}"
  },
  {
    "path": "Examples/compression/mnist_pytorch/README.md",
    "content": "# Compression examples (PyTorch)\n\n## Requirements\n\nThe base requirements for Auptimizer apply here.\n\nAdditionally, in order for the examples to work, torch >= 1.7.0 is needed.\n\n## Example details\nWe provide an example configuration file and a corresponding training script for each of the compressors supported. Due to the fact that some compressors require additional modification of the training script, we provide individual training scripts for those compressors for clarity.\n\nFor pruners, we also provide the configuration files for both one-time compression and automatic compression experiments. For one-time compression, the configuration file is named as ``exp_<pruner_name>.json``. For automatic compression, the configuration file is named as ``exp_auto<pruner_name>.json``.  \n\nFor quantizers, the configuration file is named as ``exp_<quantizer_name>.json``.\n\nTo further demonstrate the usage of automatic compression experiments using different Proposers and hyperparameter settings, we provide multiple examples for each of the Proposer. The corresponding configuration files are named ``exp_auto_fpgm_<Proposer_name>.json``. \n\nIn addition, to showcase the two use cases where the user can assign the same or different hyperparameter values for a group of layers, the configuration files ``exp_auto_fpgm_random_no_expand.json`` and ``exp_auto_fpgm_random.json`` can be used as references comparatively.\n\nFinally, ``exp_auto_fpgm_aup_args.json`` and ``mnist_aup_args.py`` demonstrate how to use the decorator \n``@aup_args`` to launch a compression experiment.\n\n## Running the examples\n\nFor one-time compression:\n\n```sh\npython -m aup.compression exp_level.json\n```\n\nFor automatic compression:\n\n```sh\npython -m aup.compression exp_auto_level.json --automatic\n```\n\nThe ``--launch_dashboard`` flag can be added to the command if the user wants to show the dashboard while running the experiment."
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_activation_apoz_rank.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Activation APoZ Rank Filter Pruner\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"activation_apoz_rank_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_activation_apoz_rank_dependency_aware.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Activation APoZ Rank Filter Pruner (dependency aware)\",\n    \"script\": \"mnist_dependency_aware.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"activation_apoz_rank_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_activation_mean_rank.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Activation Mean Rank Filter Pruner\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"activation_mean_rank_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_activation_mean_rank_dependency_aware.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Activation Mean Rank Filter Pruner (dependency aware)\",\n    \"script\": \"mnist_dependency_aware.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"activation_mean_rank_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_admm.json",
    "content": "{\n    \"name\": \"PyTorch MNIST ADMM Pruner\",\n    \"script\": \"mnist_admm.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"admm\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"],\n                \"op_names\": [\"conv1\"]\n            }, {\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"],\n                \"op_names\": [\"conv2\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_agp.json",
    "content": "{\n    \"name\": \"PyTorch MNIST AGP Pruner\",\n    \"script\": \"mnist_agp.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"agp\",\n        \"config_list\": [{    \n                \"initial_sparsity\": 0.0,\n                \"final_sparsity\": 0.8,\n                \"start_epoch\": 0,\n                \"end_epoch\": 2,\n                \"frequency\": 1,\n                \"op_names\": [\"conv1\", \"conv2\", \"fc1\", \"fc2\"],\n                \"op_types\": [\"default\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_amc.json",
    "content": "{\n    \"name\": \"PyTorch MNIST AMC Pruner\",\n    \"script\": \"mnist_amc.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"amc\",\n        \"config_list\": [{\n                \"op_types\": [\"Conv2d\", \"Linear\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_activation_apoz_rank.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Activation APoZ Rank Filter Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"activation_apoz_rank_filter\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_activation_mean_rank.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Activation Mean Rank Filter Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"activation_mean_rank_filter\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_admm.json",
    "content": "{\n    \"name\": \"PyTorch MNIST ADMM Pruner (automatic)\",\n    \"script\": \"mnist_admm.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"admm\",\n        \"config_list\": [{\n            \"sparsity\": {\n                \"range\": [0.1, 0.9],\n                \"type\": \"float\"\n            },\n            \"op_names\": [\"conv1\", \"conv2\"],\n            \"op_types\": [\"Conv2d\"]\n        }]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  \n"
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_agp.json",
    "content": "{\n    \"name\": \"PyTorch MNIST AGP Pruner (automatic)\",\n    \"script\": \"mnist_no_speedup.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"agp\",\n        \"config_list\": [{\n                \"initial_sparsity\": 0.0,\n                \"final_sparsity\": {\n                    \"range\": [0.0, 0.9],\n                    \"type\": \"float\"\n                },\n                \"start_epoch\": 0,\n                \"end_epoch\": 2,\n                \"frequency\": 1,\n                \"op_names\": [\"conv1\", \"conv2\", \"fc1\", \"fc2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_aup_args.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (@aup_args) (automatic)\",\n    \"script\": \"mnist_aup_args.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_bohb.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"bohb\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5,\n    \"num_samples\": 4\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_hyperband.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"hyperband\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_hyperopt.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"hyperopt\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_no_expand.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\"]\n            }, {\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_random.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_random_no_expand.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"expand_op_names\": false,\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_sequence.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\",\n                    \"interval\": 0.2\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"sequence\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_fpgm_spearmint.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"spearmint\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_l1filter.json",
    "content": "{\n    \"name\": \"PyTorch MNIST L1 Filter Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"l1_filter\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  \n"
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_l2filter.json",
    "content": "{\n    \"name\": \"PyTorch MNIST L2 Filter Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"l2_filter\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_level.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Level Pruner (automatic)\",\n    \"script\": \"mnist_no_speedup.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"level\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\", \"fc1\", \"fc2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_lottery_ticket.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Lottery Ticket Pruner (automatic)\",\n    \"script\": \"mnist_lottery_ticket.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"lottery_ticket\",\n        \"config_list\": [{\n                \"prune_iterations\": {\n                    \"range\": [1, 10],\n                    \"type\": \"int\"\n                },\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_auto_taylor_fo.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Taylor FO Weight Filter Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"taylor_fo_weight_filter\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\"]\n            }\n        ]\n    },\n    \"proposer\": \"random\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_autocompress.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Auto Compress Pruner\",\n    \"script\": \"mnist_autocompress.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"auto_compress\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_fpgm.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  \n"
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_fpgm_aup_args.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (@aup_args)\",\n    \"script\": \"mnist_aup_args.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  \n"
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_fpgm_dependency_aware.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner (dependency aware)\",\n    \"script\": \"mnist_dependency_aware.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  \n"
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_l1filter.json",
    "content": "{\n    \"name\": \"PyTorch MNIST L1 Filter Pruner\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"l1_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_l1filter_dependency_aware.json",
    "content": "{\n    \"name\": \"PyTorch MNIST L1 Filter Pruner (dependency aware)\",\n    \"script\": \"mnist_dependency_aware.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"l1_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_l2filter.json",
    "content": "{\n    \"name\": \"PyTorch MNIST L2 Filter Pruner\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"l2_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_l2filter_dependency_aware.json",
    "content": "{\n    \"name\": \"PyTorch MNIST L2 Filter Pruner (dependency aware)\",\n    \"script\": \"mnist_dependency_aware.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"l2_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_level.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Level Pruner\",\n    \"script\": \"mnist_no_speedup.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"level\",\n        \"config_list\": [{\n                \"sparsity\": 0.8,\n                \"op_types\": [\"default\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_lottery_ticket.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Lottery Ticket Pruner\",\n    \"script\": \"mnist_lottery_ticket.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"lottery_ticket\",\n        \"config_list\": [{\n                \"prune_iterations\": 5,\n                \"sparsity\": 0.8,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_net_adapt.json",
    "content": "{\n    \"name\": \"PyTorch MNIST NetAdapt Pruner\",\n    \"script\": \"mnist_net_adapt.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"net_adapt\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_quantization_bnn.json",
    "content": "{\n    \"name\": \"PyTorch MNIST BNN Quantizer\",\n    \"script\": \"mnist_no_speedup.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"quantization\",\n        \"compressor\": \"bnn\",\n        \"config_list\": [{\n                \"quant_bits\": 1,\n                \"quant_types\": [\"weight\"],\n                \"op_types\": [\"Conv2d\", \"Linear\"],\n                \"op_names\": [\"conv1\", \"conv2\", \"fc1\", \"fc2\"]\n            }]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_quantization_dorefa.json",
    "content": "{\n    \"name\": \"PyTorch MNIST DoReFa Quantizer\",\n    \"script\": \"mnist_no_speedup.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"quantization\",\n        \"compressor\": \"dorefa\",\n        \"config_list\": [{\n            \"quant_types\": [\"weight\"],\n            \"quant_bits\": 8, \n            \"op_types\": [\"default\"] \n        }]\n    }\n}\n"
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_quantization_naive.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Naive Quantizer\",\n    \"script\": \"mnist_no_speedup.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"quantization\",\n        \"compressor\": \"naive\",\n        \"config_list\": []\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_quantization_qat.json",
    "content": "{\n    \"name\": \"PyTorch MNIST QAT Quantizer\",\n    \"script\": \"mnist_no_speedup.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"quantization\",\n        \"compressor\": \"qat\",\n        \"config_list\": [{\n            \"quant_types\": [\"weight\"],\n            \"quant_bits\": {\n                \"weight\": 8\n            },\n            \"op_types\": [\"Conv2d\", \"Linear\"]\n        }, {\n            \"quant_types\": [\"output\"],\n            \"quant_bits\": 8,\n            \"quant_start_step\": 7000,\n            \"op_types\":[\"ReLU6\"]\n        }]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_sensitivity.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Sensitivity Pruner\",\n    \"script\": \"mnist_sensitivity.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"sensitivity\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_simulated_annealing.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Simulated Annealing Pruner\",\n    \"script\": \"mnist_simulated_annealing.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"simulated_annealing\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_taylor_fo.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Taylor FO Weight Filter Pruner\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"taylor_fo_weight_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/exp_taylor_fo_dependency_aware.json",
    "content": "{\n    \"name\": \"PyTorch MNIST Taylor FO Weight Filter Pruner (dependency aware)\",\n    \"script\": \"mnist_dependency_aware.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"taylor_fo_weight_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist.py",
    "content": "#!/usr/bin/env python3\n\n\"\"\"\nMNIST convolutional network using pytorch\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    _, test_acc = test(model, device, test_loader)\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer)\n    model = compressor.compress()\n\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    for epoch in range(1, args.epochs + 1):\n        train(args, model, device, train_loader, optimizer, epoch)\n        _, test_acc = test(model, device, test_loader)\n        scheduler.step()\n\n    model = compressor.apply_speedup(dummy_input=torch.randn(1, 1, 28, 28).to(device))\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    if \"save_model\" in config and config[\"save_model\"]:\n        compressor.export_model(\n            model_path=\"mnist_compressed.pth\",\n            speedup=True,\n            folder_name=config[\"folder_name\"])\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)\n"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_admm.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=2, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    _, test_acc = test(model, device, test_loader)\n\n    def short_term_fine_tuner(model, criterion, optimizer, epoch, callback):\n        model.train()\n        for batch_idx, (data, target) in enumerate(train_loader):\n            data, target = data.to(device), target.to(device)\n            optimizer.zero_grad()\n            output = model(data)\n            loss = criterion(output, target)\n            loss.backward()\n            if callback:\n                callback()\n            optimizer.step()\n            if batch_idx % args.log_interval == 0:\n                print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                    epoch, batch_idx * len(data), len(train_loader.dataset),\n                    100. * batch_idx / len(train_loader), loss.item()))\n                if args.dry_run:\n                    break\n        scheduler.step()\n\n    def evaluator(model):\n        _, test_acc = test(model, device, test_loader)\n        return test_acc\n\n    compressor = aup.compression.create_compressor(model, config, trainer=short_term_fine_tuner, num_iterations=30, training_epochs=1)\n    model = compressor.compress()\n\n    model = compressor.apply_speedup(dummy_input=torch.randn(1, 1, 28, 28).to(device))\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\",\n        save_best_only=True,\n        speedup=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_agp.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=2, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    _, test_acc = test(model, device, test_loader)\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer)\n    model = compressor.compress()\n\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    for epoch in range(1, args.epochs + 1):\n        train(args, model, device, train_loader, optimizer, epoch)\n        _, test_acc = test(model, device, test_loader)\n        scheduler.step()\n        compressor.update_epoch(epoch)\n\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\", \n        mask_path=\"mnist_compressed_mask.pth\",\n        save_best_only=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_amc.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nfrom PIL import Image\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nimport torchvision\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    def new_getitem(self, index):\n        img, target = self.data[index], int(self.targets[index])\n\n        # doing this so that it is consistent with all other datasets\n        # to return a PIL Image\n        img = Image.fromarray(img.numpy(), mode='L')\n        img = img.convert('RGB')\n\n        if self.transform is not None:\n            img = self.transform(img)\n\n        if self.target_transform is not None:\n            target = self.target_transform(target)\n\n        return img, target\n    \n    datasets.mnist.MNIST.__getitem__ = new_getitem\n\n    transform = transforms.Compose([\n        transforms.Resize(256),\n        transforms.CenterCrop(224),\n        transforms.ToTensor(),\n        transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = torch.hub.load('pytorch/vision:v{}'.format(torchvision.__version__), 'mobilenet_v2', pretrained=True).to(device)\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    _, test_acc = test(model, device, test_loader)\n\n    def evaluator(val_loader, model):\n        _, test_acc = test(model, device, val_loader)\n        return test_acc\n\n    compressor = aup.compression.create_compressor(\n        model, config, evaluator=evaluator, val_loader=test_loader, \n        flops_ratio=0.5, model_type=\"mobilenetv2\", n_calibration_batches=1,\n        n_points_per_layer=1, warmup=1, hidden1=32, hidden2=32,\n        train_episode=1, max_episode_length=1)\n    compressor.compress()\n\n    flops, _, _ = compressor.count_flops_params((1, 3, 28, 28))\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    if \"save_model\" in config and config[\"save_model\"]:\n        compressor.export_model(\n            model_path=\"mnist_compressed.pth\", \n            mask_path=\"mnist_compressed_mask.pth\",\n            save_best_only=True,\n            folder_name=config[\"folder_name\"])\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_aup_args.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\n@aup.aup_args\ndef main(compression_type, compression_framework, compressor, config_list):\n    config = locals()\n    \n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    _, test_acc = test(model, device, test_loader)\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer)\n    model = compressor.compress()\n\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    for epoch in range(1, args.epochs + 1):\n        train(args, model, device, train_loader, optimizer, epoch)\n        _, test_acc = test(model, device, test_loader)\n        scheduler.step()\n\n    model = compressor.apply_speedup(dummy_input=torch.randn(1, 1, 28, 28).to(device))\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    aup.aup_save_model(\n        compressor.export_model,\n        model_path=\"mnist_compressed.pth\",\n        speedup=True)\n\n    return (test_acc - 1.) / np.log(flops)\n\n\nif __name__ == '__main__':\n    if len(sys.argv) < 2:\n        print(\"config file required\")\n        exit(1)\n\n    main(sys.argv[1])\n"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_autocompress.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=2, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    _, test_acc = test(model, device, test_loader)\n\n    def short_term_fine_tuner(model, optimizer, criterion, epoch, callback):\n        model.train()\n        for batch_idx, (data, target) in enumerate(train_loader):\n            data, target = data.to(device), target.to(device)\n            optimizer.zero_grad()\n            output = model(data)\n            loss = criterion(output, target)\n            loss.backward()\n            if callback:\n                callback()\n            optimizer.step()\n            if batch_idx % args.log_interval == 0:\n                print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                    epoch, batch_idx * len(data), len(train_loader.dataset),\n                    100. * batch_idx / len(train_loader), loss.item()))\n                if args.dry_run:\n                    break\n        scheduler.step()\n\n    def evaluator(model):\n        _, test_acc = test(model, device, test_loader)\n        return test_acc\n\n    compressor = aup.compression.create_compressor(\n        model, config, trainer=short_term_fine_tuner, evaluator=evaluator, \n        dummy_input=torch.randn(1, 1, 28, 28).to(device), optimize_mode=\"maximize\",\n        num_iterations=1, admm_num_iterations=1, admm_training_epochs=1,\n        experiment_data_dir=\"./autocompress\")\n    model = compressor.compress()\n\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\", \n        mask_path=\"mnist_compressed_mask.pth\",\n        save_best_only=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_dependency_aware.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    _, test_acc = test(model, device, test_loader)\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer, dependency_aware=True, dummy_input=torch.randn(1, 1, 28, 28).to(device))\n    model = compressor.compress()\n\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    for epoch in range(1, args.epochs + 1):\n        train(args, model, device, train_loader, optimizer, epoch)\n        _, test_acc = test(model, device, test_loader)\n        scheduler.step()\n\n    model = compressor.apply_speedup(dummy_input=torch.randn(1, 1, 28, 28).to(device))\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    if \"save_model\" in config and config[\"save_model\"]:\n        compressor.export_model(\n            model_path=\"mnist_compressed.pth\",\n            save_best_only=True,\n            speedup=True,\n            folder_name=config[\"folder_name\"])\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_lottery_ticket.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    _, test_acc = test(model, device, test_loader)\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer, lr_scheduler=scheduler)\n    model = compressor.compress()\n\n    for _ in compressor.get_prune_iterations():\n        compressor.prune_iteration_start()\n        for epoch in range(1, args.epochs + 1):\n            train(args, model, device, train_loader, optimizer, epoch)\n            _, test_acc = test(model, device, test_loader)\n            scheduler.step()\n\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\", \n        mask_path=\"mnist_compressed_mask.pth\",\n        save_best_only=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_net_adapt.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=2, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    _, test_acc = test(model, device, test_loader)\n\n    def short_term_fine_tuner(model):\n        train(args, model, device, train_loader, optimizer, 1)\n        scheduler.step()\n\n    def evaluator(model):\n        _, test_acc = test(model, device, test_loader)\n        return test_acc\n\n    compressor = aup.compression.create_compressor(model, config, short_term_fine_tuner=short_term_fine_tuner, evaluator=evaluator, optimize_mode=\"maximize\")\n    model = compressor.compress()\n\n    model = compressor.apply_speedup(dummy_input=torch.randn(1, 1, 28, 28).to(device))\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\",\n        save_best_only=True,\n        speedup=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_no_speedup.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    _, test_acc = test(model, device, test_loader)\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer)\n    model = compressor.compress()\n\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    for epoch in range(1, args.epochs + 1):\n        train(args, model, device, train_loader, optimizer, epoch)\n        _, test_acc = test(model, device, test_loader)\n        scheduler.step()\n\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\", \n        mask_path=\"mnist_compressed_mask.pth\",\n        save_best_only=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_pretrained.py",
    "content": "from __future__ import print_function\nimport argparse\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n\n\ndef main():\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=14, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    parser.add_argument('--save-model', action='store_true', default=False,\n                        help='For Saving the current Model')\n    parser.add_argument('--speedup-model', action='store_true', default=False,\n                        help='For speeding up the current Model')\n    args = parser.parse_args()\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    for epoch in range(1, args.epochs + 1):\n        train(args, model, device, train_loader, optimizer, epoch)\n        test(model, device, test_loader)\n        scheduler.step()\n\n    torch.save(model.state_dict(), \"mnist_pretrained.pth\")\n\n\nif __name__ == '__main__':\n    main()"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_sensitivity.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    _, test_acc = test(model, device, test_loader)\n\n    def short_term_fine_tuner(model):\n        train(args, model, device, train_loader, optimizer, 1)\n        scheduler.step()\n\n    def evaluator(model):\n        _, test_acc = test(model, device, test_loader)\n        return test_acc\n\n    compressor = aup.compression.create_compressor(model, config, finetuner=short_term_fine_tuner, evaluator=evaluator)\n    model = compressor.compress(eval_args=[model], finetune_args=[model])\n\n    model = compressor.apply_speedup(dummy_input=torch.randn(1, 1, 28, 28).to(device))\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\",\n        save_best_only=True,\n        speedup=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_pytorch/mnist_simulated_annealing.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    _, test_acc = test(model, device, test_loader)\n\n    def evaluator(model):\n        _, test_acc = test(model, device, test_loader)\n        return test_acc\n\n    compressor = aup.compression.create_compressor(model, config, evaluator=evaluator, optimize_mode=\"maximize\")\n    model = compressor.compress()\n\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\", \n        mask_path=\"mnist_compressed_mask.pth\",\n        save_best_only=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)"
  },
  {
    "path": "Examples/compression/mnist_tensorflow/README.md",
    "content": "# Compression examples (Tensorflow)\n\n## Requirements\n\nThe basic requirements for Auptimizer apply here.\n\nAdditionally, in order for the examples to work, the following packages are required:\n* tensorflow >= 2.0\n\n## Running the examples\n\nFor non-automatic examples:\n\n```sh\npython -m aup.compression exp_fpgm.json\n```\n\nFor automatic examples:\n\n```sh\npython -m aup.compression exp_auto_fpgm.json --automatic\n```\nThe ``--launch_dashboard`` flag can be added to the command if the user wants to show the dashboard while running the experiment."
  },
  {
    "path": "Examples/compression/mnist_tensorflow/exp_auto_level.json",
    "content": "{\n    \"name\": \"Tensorflow MNIST Level Pruner (automatic)\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"resource_args\": {\n        \"save_model\": true\n    },\n    \"compression\": {\n        \"framework\": \"tensorflow\",\n        \"type\": \"pruning\",\n        \"compressor\": \"level\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_names\": [\"conv1\", \"conv2\", \"fc1\", \"fc2\"]\n            }\n        ]\n    },\n    \"proposer\": \"hyperopt\",\n    \"n_parallel\": 4,\n    \"target\": \"max\",\n    \"n_samples\": 5\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_tensorflow/exp_level.json",
    "content": "{\n    \"name\": \"Tensorflow MNIST Level Pruner\",\n    \"script\": \"mnist.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"tensorflow\",\n        \"type\": \"pruning\",\n        \"compressor\": \"level\",\n        \"config_list\": [{\n                \"sparsity\": 0.8,\n                \"op_types\": [\"default\"]\n            }\n        ]\n    }\n}\n  "
  },
  {
    "path": "Examples/compression/mnist_tensorflow/mnist.py",
    "content": "#!/usr/bin/env python3\n\n\"\"\"\nMNIST convolutional network using pytorch\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nfrom aup import print_result, aup_args\n\nimport tensorflow as tf\nimport numpy as np\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\nimport tqdm\n\nfrom math import log\n\nimport sys\n\nimport aup\n\nnum_epochs = 1\nbatch_size = 64\nnum_classes = 10\ninput_shape = (28, 28, 1)\n\n\ndef get_model(**kwargs):\n    model = keras.Sequential(\n      [\n          keras.Input(shape=input_shape),\n          layers.Conv2D(kwargs['conv1'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Conv2D(kwargs['conv2'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Flatten(),\n          layers.Dropout(kwargs['dropout']),\n          layers.Dense(num_classes, activation=\"softmax\"),\n      ]\n    )\n\n    return model\n\n    \ndef test_model(model, test_dataset):\n  correct = []\n  for (batch, (images, labels)) in enumerate(test_dataset):\n    logits = model(images)\n    correct += list(labels.numpy() == np.argmax(logits.numpy(), axis=1))\n  return np.mean(correct)\n\n\ndef main(config):\n  (train_images, train_labels), (test_images, test_labels) = tf.keras.datasets.mnist.load_data()\n\n  train_dataset = tf.data.Dataset.from_tensor_slices(\n    (tf.cast(train_images[...,tf.newaxis]/255, tf.float32),\n    tf.cast(train_labels,tf.int64)))\n  train_dataset = train_dataset.shuffle(1000).batch(32)\n  \n  test_dataset = tf.data.Dataset.from_tensor_slices(\n    (tf.cast(test_images[...,tf.newaxis]/255, tf.float32),\n    tf.cast(test_labels,tf.int64)))\n  test_dataset = test_dataset.shuffle(1000).batch(32)\n\n  model = get_model(dropout=0.1, conv1=32, conv2=64)\n  optimizer = tf.keras.optimizers.Adam()\n  loss_object = tf.keras.losses.SparseCategoricalCrossentropy()\n\n  model.load_weights(\"mnist_pretrained.h5\")\n\n  def train_step(images, labels):\n    with tf.GradientTape() as tape:\n      logits = model(images, training=True)\n      tf.debugging.assert_equal(logits.shape, (32, 10))\n      loss_value = loss_object(labels, logits)\n\n    grads = tape.gradient(loss_value, model.trainable_variables)\n    optimizer.apply_gradients(zip(grads, model.trainable_variables))\n\n  compressor = aup.compression.create_compressor(model, config)\n  compressor.compress()\n\n  for epoch in range(num_epochs):\n    for (batch, (images, labels)) in enumerate(train_dataset):\n      train_step(images, labels)\n    acc = test_model(model, test_dataset)\n    print ('Epoch {} finished - test_acc={}'.format(epoch, acc))\n\n  compressor.export_model(\"mnist_compressed.h5\", **config)\n\n  aup.print_result(acc - 1.)\n\n\nif __name__ == '__main__':\n  config = aup.BasicConfig().load(sys.argv[1])\n  main(config)\n\n"
  },
  {
    "path": "Examples/compression/mnist_tensorflow/mnist_pretrained.py",
    "content": "#!/usr/bin/env python3\n\nfrom aup import print_result, aup_args\n\nimport tensorflow as tf\nimport numpy as np\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\nimport tqdm\n\nfrom math import log\n\nimport sys\n\nnum_epochs = 14\nbatch_size = 64\nnum_classes = 10\ninput_shape = (28, 28, 1)\n\n\ndef get_model(**kwargs):\n    model = keras.Sequential(\n      [\n          keras.Input(shape=input_shape),\n          layers.Conv2D(kwargs['conv1'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Conv2D(kwargs['conv2'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Flatten(),\n          layers.Dropout(kwargs['dropout']),\n          layers.Dense(num_classes, activation=\"softmax\"),\n      ]\n    )\n\n    return model\n\n    \ndef test_model(model, test_dataset):\n  correct = []\n  for (batch, (images, labels)) in enumerate(test_dataset):\n    logits = model(images)\n    correct += list(labels.numpy() == np.argmax(logits.numpy(), axis=1))\n  return np.mean(correct)\n\n\ndef main():\n  (train_images, train_labels), (test_images, test_labels) = tf.keras.datasets.mnist.load_data()\n\n  train_dataset = tf.data.Dataset.from_tensor_slices(\n    (tf.cast(train_images[...,tf.newaxis]/255, tf.float32),\n    tf.cast(train_labels,tf.int64)))\n  train_dataset = train_dataset.shuffle(1000).batch(32)\n  \n  test_dataset = tf.data.Dataset.from_tensor_slices(\n    (tf.cast(test_images[...,tf.newaxis]/255, tf.float32),\n    tf.cast(test_labels,tf.int64)))\n  test_dataset = test_dataset.shuffle(1000).batch(32)\n\n  model = get_model(dropout=0.1, conv1=32, conv2=64)\n\n  optimizer = tf.keras.optimizers.Adam()\n  loss_object = tf.keras.losses.SparseCategoricalCrossentropy()\n\n  def train_step(images, labels):\n    with tf.GradientTape() as tape:\n      logits = model(images, training=True)\n      tf.debugging.assert_equal(logits.shape, (32, 10))\n      loss_value = loss_object(labels, logits)\n\n    grads = tape.gradient(loss_value, model.trainable_variables)\n    optimizer.apply_gradients(zip(grads, model.trainable_variables))\n\n  for epoch in range(num_epochs):\n    for (batch, (images, labels)) in enumerate(tqdm.tqdm(train_dataset)):\n      train_step(images, labels)\n    acc = test_model(model, test_dataset)\n    print ('Epoch {} finished - test_acc={}'.format(epoch, acc))\n\n  model.save(\"mnist_pretrained.h5\")\n\n  print(\"test_acc={}\".format(acc))\n\n\nif __name__ == '__main__':\n  main()\n\n"
  },
  {
    "path": "Examples/compression/utility_functions/README.md",
    "content": "# Compression utility functions\n\nThis example provides an example training script ``mnist.py``, where the compression utility functions sensitivity analysis and channel dependency analysis are applied. To just use these utility functions, there is no need to launch an Auptimizer experiment. The analysis outputs will be saved to folder ``output``. "
  },
  {
    "path": "Examples/compression/utility_functions/mnist.py",
    "content": "#!/usr/bin/env python3\n\n\"\"\"\nMNIST convolutional network using pytorch\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nfrom __future__ import print_function\nimport argparse\nimport os\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nOUT_DIR = \"output\"\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main():\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    model.load_state_dict(torch.load(\"../mnist_pytorch/mnist_pretrained.pth\", map_location=lambda storage, location: storage))\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n\n    os.makedirs(OUT_DIR, exist_ok=True)\n\n    # Example of Sensitivity Analysis usage\n    s_analyzer = aup.compression.sensitivity_analysis.SensitivityAnalysis(model=model, val_func=lambda model: test(model, device, test_loader))\n    sensitivity = s_analyzer.analysis(val_args=[model])\n    s_analyzer.export(os.path.join(OUT_DIR, \"sensitivity_analysis.log\"))\n\n    # ChannelDependency\n    data = torch.ones(1, 1, 28, 28).to(device)\n    channel_depen = aup.compression.shape_dependency.ChannelDependency(model, data)\n    channel_depen.export(os.path.join(OUT_DIR, \"channel_dependency.csv\"))\n\n\nif __name__ == '__main__':\n    main()"
  },
  {
    "path": "Examples/converter_examples/Convert_Benchmark/.gitignore",
    "content": ".ipynb_checkpoints/\n*.tflite\n*.h5\n*.tgz\npytorch/"
  },
  {
    "path": "Examples/converter_examples/Convert_Benchmark/Benchmark.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Using TensorFlow backend.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"\\\"\\\"\\\"\\n\",\n    \"  Copyright (c) 2018 LG Electronics Inc.\\n\",\n    \"  SPDX-License-Identifier: GPL-3.0-or-later\\n\",\n    \"\\\"\\\"\\\" \\n\",\n    \"import keras\\n\",\n    \"import subprocess\\n\",\n    \"from os import path\\n\",\n    \"import pandas as pd\\n\",\n    \"import json\\n\",\n    \"\\n\",\n    \"# see models here - https://www.tensorflow.org/lite/guide/hosted_models\\n\",\n    \"STORAGE_LINK = \\\"https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_08_02/\\\"\\n\",\n    \"ADB_LOCAL = path.expanduser(\\\"~/Library/Android/sdk/platform-tools/adb\\\")  # for MacOS\\n\",\n    \"\\n\",\n    \"ALPHA = [\\\"1.0\\\",\\\"0.75\\\",\\\"0.5\\\",\\\"0.25\\\"]\\n\",\n    \"SIZE = [\\\"224\\\",\\\"192\\\",\\\"160\\\",\\\"128\\\"]\\n\",\n    \"REP_DATA = \\\"repdata.py\\\"\\n\",\n    \"\\n\",\n    \"OP_TYPE = [\\\"float\\\", \\\"float16\\\", \\\"uint8\\\", \\\"int8\\\"]\\n\",\n    \"\\n\",\n    \"KEYS = [[a,b] for a in ALPHA for b in SIZE]\\n\",\n    \"MOBILENET = \\\"mobilenet_v1\\\"\\n\",\n    \"df = pd.DataFrame({\\\"model\\\":[], \\\"alpha\\\":[], \\\"size\\\":[], \\\"gpu\\\":[], \\\"nnapi\\\":[], \\\"op\\\": [], \\\"size_init\\\":[],\\n\",\n    \"                   \\\"size_peak\\\":[], \\\"warmup\\\":[], \\\"init\\\":[], \\\"inference\\\":[]})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def preprocess(name):\\n\",\n    \"    try:\\n\",\n    \"        process = subprocess.Popen(\\\" wget \\\" + STORAGE_LINK + name + \\\".tgz \\\", shell=True).wait()\\n\",\n    \"    except:\\n\",\n    \"        print(\\\"Could not retrieve\\\")\\n\",\n    \"        return 0\\n\",\n    \"\\n\",\n    \"    try:\\n\",\n    \"        process = subprocess.Popen(\\\" tar -xzf \\\" + name + \\\".tgz\\\", shell=True).wait()\\n\",\n    \"    except:\\n\",\n    \"        print(\\\"Could not unpack\\\")\\n\",\n    \"        return 0\\n\",\n    \"\\n\",\n    \"    return 1\\n\",\n    \"\\n\",\n    \"def push_to_device(name):\\n\",\n    \"    try:\\n\",\n    \"        process = subprocess.Popen(ADB_LOCAL + \\\" push \\\" + name + \\\".tflite /data/local/tmp/\\\",\\n\",\n    \"                                   shell=True, stdout=subprocess.DEVNULL).wait()\\n\",\n    \"    except:\\n\",\n    \"        print(\\\"Could not push\\\")\\n\",\n    \"        return 0\\n\",\n    \"    return 1\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def run_benchmark(name):\\n\",\n    \"    command_template = ADB_LOCAL + \\\" shell /data/local/tmp/benchmark_model --graph=/data/local/tmp/\\\"\\n\",\n    \"    command = command_template + name + \\\".tflite --num_threads=4\\\"\\n\",\n    \"    process2 = subprocess.Popen(command.split(), stdout=subprocess.PIPE)\\n\",\n    \"    output, error = process2.communicate()\\n\",\n    \"    output = output.decode('utf-8')\\n\",\n    \"    output = output.split(\\\"\\\\n\\\")\\n\",\n    \"    infer, memo = \\\"\\\",\\\"\\\"\\n\",\n    \"    for p in output:\\n\",\n    \"        if \\\"Inference timings\\\" in p:\\n\",\n    \"            infer = p\\n\",\n    \"        if \\\"Peak memory footprint\\\" in p:\\n\",\n    \"            memo = p\\n\",\n    \"    #output = output.split(\\\"\\\\n\\\")\\n\",\n    \"    #infer = output\\n\",\n    \"    return (infer, memo)\\n\",\n    \"\\n\",\n    \"def compile_results(infer, memo, df, of, op, alpha, size):\\n\",\n    \"    data = []\\n\",\n    \"    try:\\n\",\n    \"        idx = memo.find(\\\"init=\\\")\\n\",\n    \"        max_size = float(memo[idx+5:idx + memo[idx:].find(\\\" \\\")-1])\\n\",\n    \"    except:\\n\",\n    \"        max_size = float('nan')\\n\",\n    \"    idx = memo.find(\\\"overall=\\\")\\n\",\n    \"    try:\\n\",\n    \"        malloc_size = float(memo[idx+8:])\\n\",\n    \"    except:\\n\",\n    \"        malloc_size = float('nan')\\n\",\n    \"    idx = infer.find(\\\"Warmup (avg):\\\")\\n\",\n    \"    try:\\n\",\n    \"        warmup = float(infer[idx+14:idx + infer[idx:].find(\\\",\\\")])\\n\",\n    \"    except:\\n\",\n    \"        warmup = float('nan')\\n\",\n    \"    idx = infer.find(\\\"Init:\\\")\\n\",\n    \"    try:\\n\",\n    \"        init = float(infer[idx+6:idx + infer[idx:].find(\\\",\\\")])\\n\",\n    \"    except:\\n\",\n    \"        init = float('nan')\\n\",\n    \"    idx = infer.find(\\\"Inference (avg):\\\")\\n\",\n    \"    try:\\n\",\n    \"        no_stat = float(infer[idx+17:])\\n\",\n    \"    except:\\n\",\n    \"        no_stat = float('nan')\\n\",\n    \"    df = df.append(pd.Series([of, alpha, size, op, max_size, malloc_size,\\n\",\n    \"                              warmup, init, no_stat], index=df.columns), ignore_index=True)\\n\",\n    \"    return df\\n\",\n    \"\\n\",\n    \"def convert(name, size, op):\\n\",\n    \"    json_dic = {}\\n\",\n    \"    json_dic[\\\"convert_from\\\"] = name+\\\"_frozen.pb\\\"\\n\",\n    \"    json_dic[\\\"convert_to\\\"] = name+\\\"_\\\"+op+\\\"_converted.tflite\\\"\\n\",\n    \"    json_dic[\\\"input_nodes\\\"] = \\\"input\\\"\\n\",\n    \"    json_dic[\\\"output_nodes\\\"] = \\\"MobilenetV1/Predictions/Reshape_1:0\\\"\\n\",\n    \"    command = \\\"\\\"\\n\",\n    \"    if op == 'float':\\n\",\n    \"        command = json.dumps([json_dic])\\n\",\n    \"    if op == 'float16':\\n\",\n    \"        quant_dic = {}\\n\",\n    \"        quant_dic[\\\"type\\\"]=\\\"float16\\\"\\n\",\n    \"        quant_dic[\\\"opsset\\\"] = \\\"tf\\\"\\n\",\n    \"        json_dic[\\\"quantization\\\"] = quant_dic\\n\",\n    \"        command = json.dumps([json_dic])\\n\",\n    \"    if op == 'int8':\\n\",\n    \"        quant_dic = {}\\n\",\n    \"        quant_dic[\\\"type\\\"]=\\\"int8\\\"\\n\",\n    \"        quant_dic[\\\"opsset\\\"] = \\\"int8\\\"\\n\",\n    \"        quant_dic[\\\"load\\\"] = REP_DATA + \\\" --custom_data '1,\\\" + size + \\\",\\\" + size + \\\",\\\" + \\\"3,1000' --undefok custom_data\\\"\\n\",\n    \"        json_dic[\\\"quantization\\\"] = quant_dic\\n\",\n    \"        command = json.dumps([json_dic])\\n\",\n    \"    if op == 'uint8':\\n\",\n    \"        quant_dic = {}\\n\",\n    \"        quant_dic[\\\"type\\\"]=\\\"uint8\\\"\\n\",\n    \"        quant_dic[\\\"opsset\\\"] = \\\"tf\\\"\\n\",\n    \"        quant_dic[\\\"load\\\"] = REP_DATA + \\\" --custom_data '1,\\\" + size + \\\",\\\" + size + \\\",\\\" + \\\"3,1000' --undefok custom_data\\\"\\n\",\n    \"        json_dic[\\\"quantization\\\"] = quant_dic\\n\",\n    \"        command = json.dumps([json_dic])\\n\",\n    \"    try:\\n\",\n    \"        process = subprocess.Popen(\\\"python3 -m aup.dlconvert -d \\\" + \\\"'\\\" + str(command)  + \\\"'\\\", shell=True).wait()\\n\",\n    \"    except:\\n\",\n    \"        print(\\\"Could not Convert= \\\" + str(command))\\n\",\n    \"        return 0\\n\",\n    \"    return 1\\n\",\n    \"    \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"for key in KEYS:\\n\",\n    \"\\n\",\n    \"    name = MOBILENET + \\\"_\\\" + key[0] + \\\"_\\\" + key[1]\\n\",\n    \"\\n\",\n    \"    print(\\\"Starting \\\" + str(name))\\n\",\n    \"\\n\",\n    \"    if(not preprocess(name)):\\n\",\n    \"        continue\\n\",\n    \"\\n\",\n    \"    if(not push_to_device(name)):\\n\",\n    \"        continue\\n\",\n    \"\\n\",\n    \"    infer,memo = run_benchmark(name)\\n\",\n    \"\\n\",\n    \"    df = compile_results(infer, memo, df, \\\"official\\\", \\\"float\\\", key[0], key[1])\\n\",\n    \"\\n\",\n    \"    new_name = name + \\\"_quant\\\"\\n\",\n    \"\\n\",\n    \"    print(\\\"Starting \\\" + str(new_name))\\n\",\n    \"\\n\",\n    \"    if(not preprocess(new_name)):\\n\",\n    \"        continue\\n\",\n    \"\\n\",\n    \"    if(not push_to_device(new_name)):\\n\",\n    \"        continue\\n\",\n    \"\\n\",\n    \"    infer,memo = run_benchmark(new_name)\\n\",\n    \"\\n\",\n    \"    df = compile_results(infer, memo , df, \\\"official\\\", \\\"int8\\\", key[0], key[1])\\n\",\n    \"    \\n\",\n    \"    print(\\\"Starting converted tflite benchmarking\\\")\\n\",\n    \"\\n\",\n    \"    for op in OP_TYPE:\\n\",\n    \"\\n\",\n    \"        converted = convert(name, key[1], op)\\n\",\n    \"\\n\",\n    \"        if not converted:\\n\",\n    \"            print(\\\"Failed \\\" + str(name) + \\\" \\\" + str(op))\\n\",\n    \"            continue\\n\",\n    \"\\n\",\n    \"        print(\\\"testing= \\\" + str(name) + \\\" \\\" + str(op))\\n\",\n    \"\\n\",\n    \"        new_name = name + \\\"_\\\" + op + \\\"_converted\\\"\\n\",\n    \"\\n\",\n    \"        if(not push_to_device(new_name)):\\n\",\n    \"            continue\\n\",\n    \"\\n\",\n    \"        infer,memo = run_benchmark(new_name)\\n\",\n    \"\\n\",\n    \"        df = compile_results(infer, memo, df, \\\"converted\\\", str(op), key[0], key[1])\\n\",\n    \"        \\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"        model alpha size       op  size_init  size_peak    warmup    init  inference\\n\",\n      \"0    official   1.0  224    float    0.78906   26.74220  33998.60  2196.0   33562.00\\n\",\n      \"1    official   1.0  224     int8    0.87890    7.19531  24491.30  2017.0   23836.70\\n\",\n      \"2   converted   1.0  224    float    0.79687   26.69530  34708.60  1929.0   33686.70\\n\",\n      \"3   converted   1.0  224  float16    0.79296   34.55470  35102.30  2033.0   32647.30\\n\",\n      \"4   converted   1.0  224    uint8    1.39060    8.44531  24231.40  3134.0   23624.50\\n\",\n      \"5   converted   1.0  224     int8    1.39060    8.47266  27206.70  2890.0   23835.60\\n\",\n      \"6    official   1.0  192    float    0.78906   25.14060  25100.70  1669.0   24425.90\\n\",\n      \"7    official   1.0  192     int8    0.76562    6.64844  18825.00  2148.0   18390.10\\n\",\n      \"8   converted   1.0  192    float    0.79687   25.37500  24657.60  1756.0   24129.00\\n\",\n      \"9   converted   1.0  192  float16    0.79296   33.19920  26244.60  2075.0   25446.30\\n\",\n      \"10  converted   1.0  192    uint8    1.39060    7.90234  18417.10  3117.0   18072.60\\n\",\n      \"11  converted   1.0  192     int8    1.39060    8.06641  18780.40  2770.0   18272.40\\n\",\n      \"12   official   1.0  160    float    0.78906   23.96480  18737.10  1639.0   18147.10\\n\",\n      \"13   official   1.0  160     int8    0.76562    6.42969  14405.30  2022.0   13266.50\\n\",\n      \"14  converted   1.0  160    float    0.79687   24.06640  18471.30  1768.0   19325.60\\n\",\n      \"15  converted   1.0  160  float16    0.79687   31.91020  19203.30  1973.0   17638.40\\n\",\n      \"16  converted   1.0  160    uint8    1.39060    7.23828  17993.90  2886.0   13290.70\\n\",\n      \"17  converted   1.0  160     int8    1.39060    7.44141  21174.00  2649.0   20724.60\\n\",\n      \"18   official   1.0  128    float    0.78515   22.92970  12444.20  1581.0   11945.00\\n\",\n      \"19   official   1.0  128     int8    0.76562    6.20703  13523.20  2059.0   13424.40\\n\",\n      \"20  converted   1.0  128    float    0.79296   22.69530  12496.10  1804.0   11959.30\\n\",\n      \"21  converted   1.0  128  float16    0.78906   30.79300  13551.10  1828.0   12529.10\\n\",\n      \"22  converted   1.0  128    uint8    1.28120    6.80469   8976.34  2915.0    8992.86\\n\",\n      \"23  converted   1.0  128     int8    1.28120    6.92188  13422.40  2487.0   10108.50\\n\",\n      \"24   official  0.75  224    float    0.76562   17.43360  21263.80  1878.0   21159.90\\n\",\n      \"25   official  0.75  224     int8    0.82812    4.98047  17237.40  1988.0   16508.00\\n\",\n      \"26  converted  0.75  224    float    0.78120   17.39450  22503.70  1607.0   21283.40\\n\",\n      \"27  converted  0.75  224  float16    0.78120   22.75780  22192.10  2129.0   21192.60\\n\",\n      \"28  converted  0.75  224    uint8    1.21870    6.03516  22660.10  2414.0   16021.80\\n\",\n      \"29  converted  0.75  224     int8    1.21870    6.30859  15966.20  2838.0   15849.00\\n\",\n      \"30   official  0.75  192    float    0.76562   16.13670  16253.70  1612.0   15627.30\\n\",\n      \"31   official  0.75  192     int8    0.76562    4.30469  17908.20  1741.0   16690.40\\n\",\n      \"32  converted  0.75  192    float    0.78120   16.42580  16129.60  1602.0   16212.00\\n\",\n      \"33  converted  0.75  192  float16    0.78515   21.24220  15744.60  1838.0   15032.60\\n\",\n      \"34  converted  0.75  192    uint8    1.21870    5.56250  12433.50  2599.0   12068.50\\n\",\n      \"35  converted  0.75  192     int8    1.21870    5.62109  12045.20  2587.0   11737.50\\n\",\n      \"36   official  0.75  160    float    0.76562   15.27340  11488.00  1807.0   11356.20\\n\",\n      \"37   official  0.75  160     int8    0.76562    4.49219   9148.42  1905.0    9103.98\\n\",\n      \"38  converted  0.75  160    float    0.78515   15.10160  11819.20  1928.0   11335.40\\n\",\n      \"39  converted  0.75  160  float16    0.78515   19.90620  11790.90  1945.0   11200.20\\n\",\n      \"40  converted  0.75  160    uint8    1.02340    5.09375   9288.87  2472.0    9114.61\\n\",\n      \"41  converted  0.75  160     int8    1.02340    5.11328   9300.00  2543.0    9019.50\\n\",\n      \"42   official  0.75  128    float    0.76171   14.07810  10167.30  1584.0    9786.01\\n\",\n      \"43   official  0.75  128     int8    0.76562    3.81250   6325.96  1982.0    6249.11\\n\",\n      \"44  converted  0.75  128    float    0.77734   14.44530   7544.64  1898.0    7422.35\\n\",\n      \"45  converted  0.75  128  float16    0.78120   19.16020   8644.24  2002.0    8227.14\\n\",\n      \"46  converted  0.75  128    uint8    1.02340    4.91016   6686.88  2458.0    5826.48\\n\",\n      \"47  converted  0.75  128     int8    1.02340    4.85547   5921.82  2732.0    5877.53\\n\",\n      \"48   official   0.5  224    float    0.75781   11.06250  12346.40  1864.0   11818.80\\n\",\n      \"49   official   0.5  224     int8    0.76562    3.47656   9217.15  1663.0    9174.97\\n\",\n      \"50  converted   0.5  224    float    0.75781   10.81250  12604.10  1658.0   11342.90\\n\",\n      \"51  converted   0.5  224  float16    0.77734   13.45700  12766.20  1729.0   11792.10\\n\",\n      \"52  converted   0.5  224    uint8    1.07810    4.51172   9011.44  2313.0    8938.94\\n\",\n      \"53  converted   0.5  224     int8    1.07810    4.55078   9348.15  2308.0    9034.15\\n\",\n      \"54   official   0.5  192    float    0.75781    9.57031   9739.80  1711.0    8417.13\\n\",\n      \"55   official   0.5  192     int8    0.76562    2.90625   6879.19  1806.0    7067.31\\n\",\n      \"56  converted   0.5  192    float    0.75781    9.56641  14427.00  1585.0   11264.40\\n\",\n      \"57  converted   0.5  192  float16    0.77734   12.27340   9537.10  2055.0    9057.24\\n\",\n      \"58  converted   0.5  192    uint8    1.07810    3.95703   6889.69  2352.0    6899.43\\n\",\n      \"59  converted   0.5  192     int8    1.07810    3.68359   6866.42  2086.0    6884.52\\n\",\n      \"60   official   0.5  160    float    0.75390    8.84375   6275.54  1826.0    6035.32\\n\",\n      \"61   official   0.5  160     int8    0.76562    2.87109   8104.90  1843.0    7316.42\\n\",\n      \"62  converted   0.5  160    float    0.75390    8.88281   6463.68  2811.0    6170.63\\n\",\n      \"63  converted   0.5  160  float16    0.77343   11.58980   6799.38  1878.0    6314.49\\n\",\n      \"64  converted   0.5  160    uint8    1.02340    3.66797   5131.54  2370.0    4970.17\\n\",\n      \"65  converted   0.5  160     int8    1.02340    3.50781   5028.12  2082.0    4984.45\\n\",\n      \"66   official   0.5  128    float    0.75390    7.90234   6759.62  1512.0    5552.03\\n\",\n      \"67   official   0.5  128     int8    0.76562    2.24609   3510.57  1807.0    3630.16\\n\",\n      \"68  converted   0.5  128    float    0.75390    7.99609   6622.07  1956.0    6976.16\\n\",\n      \"69  converted   0.5  128  float16    0.77343   10.48830   4392.34  1880.0    4282.03\\n\",\n      \"70  converted   0.5  128    uint8    1.02340    2.83984   3540.63  2307.0    3417.62\\n\",\n      \"71  converted   0.5  128     int8    1.02340    3.18750   3475.96  2033.0    3435.91\\n\",\n      \"72   official  0.25  224    float    0.73437    6.48438   6391.63  1487.0    6242.10\\n\",\n      \"73   official  0.25  224     int8    0.50781    2.35156   4271.29  1878.0    4192.14\\n\",\n      \"74  converted  0.25  224    float    0.74609    6.46484   4858.95  1478.0    4722.11\\n\",\n      \"75  converted  0.25  224  float16    0.70000    7.48438   5223.81  1822.0    4951.89\\n\",\n      \"76  converted  0.25  224    uint8    0.76562    3.60156   7467.73  2050.0    4353.84\\n\",\n      \"77  converted  0.25  224     int8    0.76562    3.61719   4379.18  1977.0    4262.76\\n\",\n      \"78   official  0.25  192    float    0.73046    5.38672   3590.72  1661.0    3483.75\\n\",\n      \"79   official  0.25  192     int8    0.50781    1.98047   5196.78  1905.0    4826.97\\n\",\n      \"80  converted  0.25  192    float    0.74218    5.38672   6775.37  1907.0    5215.93\\n\",\n      \"81  converted  0.25  192  float16    0.74609    6.32812   5244.89  1851.0    4777.14\\n\",\n      \"82  converted  0.25  192    uint8    0.76562    2.92969   4020.21  2084.0    3792.61\\n\",\n      \"83  converted  0.25  192     int8    0.76562    3.05078   3359.21  2063.0    3350.96\\n\",\n      \"84   official  0.25  160    float    0.73046    4.32812   2661.74  1759.0    2663.75\\n\",\n      \"85   official  0.25  160     int8    0.50781    1.82031   2533.19  1761.0    2412.00\\n\",\n      \"86  converted  0.25  160    float    0.74218    4.53125   3285.08  1705.0    2617.05\\n\",\n      \"87  converted  0.25  160  float16    0.74609    5.35156   2636.35  1803.0    2572.78\\n\",\n      \"88  converted  0.25  160    uint8    0.76562    2.35156   2531.91  2044.0    2494.01\\n\",\n      \"89  converted  0.25  160     int8    0.76562    2.44922   2601.15  1997.0    2512.17\\n\",\n      \"90   official  0.25  128    float    0.50781    3.79297   2639.18  1623.0    2469.44\\n\",\n      \"91   official  0.25  128     int8    0.50781    1.55078   1830.96  1647.0    1757.80\\n\",\n      \"92  converted  0.25  128    float    0.50781    3.69531   1923.96  1845.0    1857.89\\n\",\n      \"93  converted  0.25  128  float16    0.75390    4.66797   2439.37  1901.0    2373.20\\n\",\n      \"94  converted  0.25  128    uint8    0.76562    2.08984   1878.13  2049.0    1788.82\\n\",\n      \"95  converted  0.25  128     int8    0.76562    1.95312   2336.19  2063.0    1838.06\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df = pd.read_pickle(\\\"./data_mobilenet.pkl\\\")\\n\",\n    \"print(df.to_string())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import subprocess\\n\",\n    \"from os import path\\n\",\n    \"import pandas as pd\\n\",\n    \"import logging\\n\",\n    \"import matplotlib.pylab as plt\\n\",\n    \"%matplotlib inline\\n\",\n    \"%config InlineBackend.figure_format = 'retina'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def visualize(d, target, taget_label=None):\\n\",\n    \"    d['size'] = d['size'].astype('int')\\n\",\n    \"\\n\",\n    \"    alphas = d['alpha'].unique().tolist()\\n\",\n    \"    labels = ['converted-float', 'converted-int8', 'official-float', 'official-int8']  # sorted((d['model'] + \\\"-\\\" + d['op']).unique().tolist())\\n\",\n    \"    shapes = ['ob','og','+b','+g'] # ['or','oy','ok','oc','+r','+k']\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"    fig, axes = plt.subplots(figsize=(8,8), ncols=2, nrows=2, sharex=True, sharey=True)\\n\",\n    \"    for i, alpha in enumerate(alphas):\\n\",\n    \"        ax = axes[i%2][i//2]\\n\",\n    \"        for label, shape in zip(labels,shapes):\\n\",\n    \"            model, op = label.split(\\\"-\\\")\\n\",\n    \"            t = d[(d['alpha']==alpha) & (d['model']==model) & (d['op']==op)]\\n\",\n    \"            ax.plot(t['size'], t[target], shape, label=label)\\n\",\n    \"        ax.xaxis.set_major_formatter(plt.FormatStrFormatter('%d'))\\n\",\n    \"        if i==0:\\n\",\n    \"            ax.set_ylabel(taget_label)\\n\",\n    \"        if i==1:\\n\",\n    \"            ax.set_ylabel(taget_label)\\n\",\n    \"            ax.set_xlabel('input size')\\n\",\n    \"        if i==3:\\n\",\n    \"            ax.set_xlabel('input size')\\n\",\n    \"        ax.legend(title=\\\"Model alpha=%.2f\\\"%float(alpha))\\n\",\n    \"    plt.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 576x576 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 566,\n       \"width\": 567\n      },\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"visualize(df, 'inference', 'avg inference [us]')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 576x576 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 566,\n       \"width\": 566\n      },\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"visualize(df, 'size_peak', 'Max resident set size [MB]')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'2.0.0'\"\n      ]\n     },\n     \"execution_count\": 1,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"import tensorflow as tf\\n\",\n    \"tf.__version__\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'2.2.4-tf'\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"from tensorflow.python import keras\\n\",\n    \"keras.__version__\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.7.3\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}"
  },
  {
    "path": "Examples/converter_examples/Convert_Benchmark/README.md",
    "content": "# Quantization Benchmarking on Android Phone\n\nIn this example, we use Converter to quantize and convert models into TensorFlow Lite format. \n\nWe ran the experiment for image classification task using different configurations of MobileNet and obtained benchmarking results by deploying models on the LG G6 smartphone. The results reaffirm the benefits of model quantization for edge deployments in terms of inference speed and peak memory usage. \n\nThe experiments are presented in the [Benchmark](Benchmark.ipynb) file along with figures showing model performance. To obtain the data pickle file, either run `Benchmark.ipynb` or `script_mobilenet.py`.\n\nThe script first downloads different MobileNets in the Protobuf format and converts them to TensorFlow Lite using different quantization configurations. The script also downloads the official TensorFlow Lite versions (int8 and float32) of MobileNet to compare the performance of the converted models.\n\nTo set up the mobile benchmarking pipeline please follow these steps.\n\n### Setup\n\n1. Android Studio / [adb](https://developer.android.com/studio/command-line/adb)\n\n\t```bash\n\texport PATH=$PATH:~/Library/Android/sdk/platform-tools/\n\t```\n\t\n2. Compile model_benchmark\n\n\tSee [step 1](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/benchmark#on-android):\n\tNeeds Ubuntu system / Android Studio.\n\t\n\t```bash\n\tgit clone git@github.com:tensorflow/tensorflow.git\n\tcd tensorflow\n\tbazel clean --expunge\n\tbazel build -c opt --config=android_arm --cxxopt='--std=c++11' tensorflow/lite/tools/benchmark:benchmark_model\n\t```\n\n3. Prepare data on the phone\n\n\tSee [step 2-4](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/benchmark#on-android)\n\t\n\t```\n\tAndroid/Sdk/platform-tools/adb push bazel-bin/tensorflow/lite/tools/benchmark/benchmark_model /data/local/tmp\n\t```\n\t\n\tIf the device is not connected, follow instructions [here](https://askubuntu.com/questions/863587/adb-device-list-doesnt-show-phone)\n\t\n\tCopy model\n\t\n\t```bash\n\tadb push model.tflite /data/local/tmp\n\t```\n\t\n4. Measure performance\n\n\tSee [here](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/benchmark#parameters) for more control arguments.\n\t\n\t```bash\n\tadb shell /data/local/tmp/benchmark_model \\\n       --num_threads=4 \\\n       --graph=/data/local/tmp/model.tflite \\\n\t   --warmup_runs=1 \\\n\t   --num_runs=50\n\t```\n\n"
  },
  {
    "path": "Examples/converter_examples/Convert_Benchmark/repdata.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nCreate a synthetic tf.dataset for inference speed measure\n\"\"\"\nimport numpy as np\nfrom absl import flags\nimport sys\n\ndef parse_arg():\n    try:\n        idx = sys.argv.index(\"--custom_data\")\n        custom_data = str(sys.argv[idx+1:][0])\n    except ValueError:\n        custom_data = \"1,224,224,3,1000\"\n    return custom_data\n\ndef get_dataset():\n    custom_data = parse_arg()\n    print(custom_data)\n    batch_size, img_len, img_wid, channel_size, label_size = [int(x) for x in custom_data.split(\",\")] \n\n    labels = np.random.randint(0, label_size, size=batch_size).astype(np.float)\n    imgs = np.random.random(size=(batch_size, img_len, img_wid, channel_size))\n    \n    class Dataset:\n        def __init__(self, data):\n            self.data = data\n        \n        def numpy(self):\n            return self.data[np.newaxis,:]\n\n    for i in range(batch_size):\n        yield Dataset(imgs[i]), Dataset(labels[i])\n"
  },
  {
    "path": "Examples/converter_examples/Convert_Benchmark/script_mobilenet.py",
    "content": "\"\"\"\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\" \nimport keras\nimport subprocess\nfrom os import path\nimport pandas as pd\nimport json\n\n# see models here - https://www.tensorflow.org/lite/guide/hosted_models\nSTORAGE_LINK = \"https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_08_02/\"\nADB_LOCAL = path.expanduser(\"~/Library/Android/sdk/platform-tools/adb\")  # for MacOS\n\nALPHA = [\"1.0\",\"0.75\",\"0.5\",\"0.25\"]\nSIZE = [\"224\",\"192\",\"160\",\"128\"]\n\nREP_DATA = \"repdata.py\"\n\nOP_TYPE = [\"float\", \"float16\", \"uint8\", \"int8\"]\n\nKEYS = [[a,b] for a in ALPHA for b in SIZE]\nMOBILENET = \"mobilenet_v1\"\ndf = pd.DataFrame({\"model\":[], \"alpha\":[], \"size\":[], \"op\": [], \"size_init\":[],\n                   \"size_peak\":[], \"warmup\":[], \"init\":[], \"inference\":[]})\n\ndef preprocess(name):\n    try:\n        process = subprocess.Popen(\" wget \" + STORAGE_LINK + name + \".tgz \", shell=True).wait()\n    except:\n        print(\"Could not retrieve\")\n        return 0\n\n    try:\n        process = subprocess.Popen(\" tar -xzf \" + name + \".tgz\", shell=True).wait()\n    except:\n        print(\"Could not unpack\")\n        return 0\n\n    return 1\n\ndef push_to_device(name):\n    try:\n        process = subprocess.Popen(ADB_LOCAL + \" push \" + name + \".tflite /data/local/tmp/\",\n                                   shell=True, stdout=subprocess.DEVNULL).wait()\n    except:\n        print(\"Could not push\")\n        return 0\n    return 1\n\n\ndef run_benchmark(name):\n    command_template = ADB_LOCAL + \" shell /data/local/tmp/benchmark_model --graph=/data/local/tmp/\"\n    command = command_template + name + \".tflite --num_threads=4\"\n    process2 = subprocess.Popen(command.split(), stdout=subprocess.PIPE)\n    output, error = process2.communicate()\n    output = output.decode('utf-8')\n    output = output.split(\"\\n\")\n    infer, memo = \"\",\"\"\n    for p in output:\n        if \"Inference timings\" in p:\n            infer = p\n        if \"Peak memory footprint\" in p:\n            memo = p\n    #output = output.split(\"\\n\")\n    #infer = output\n    return (infer, memo)\n\ndef compile_results(infer, memo, df, of, op, alpha, size):\n    data = []\n    try:\n        idx = memo.find(\"init=\")\n        max_size = float(memo[idx+5:idx + memo[idx:].find(\" \")-1])\n    except:\n        max_size = float('nan')\n    idx = memo.find(\"overall=\")\n    try:\n        malloc_size = float(memo[idx+8:])\n    except:\n        malloc_size = float('nan')\n    idx = infer.find(\"Warmup (avg):\")\n    try:\n        warmup = float(infer[idx+14:idx + infer[idx:].find(\",\")])\n    except:\n        warmup = float('nan')\n    idx = infer.find(\"Init:\")\n    try:\n        init = float(infer[idx+6:idx + infer[idx:].find(\",\")])\n    except:\n        init = float('nan')\n    idx = infer.find(\"Inference (avg):\")\n    try:\n        no_stat = float(infer[idx+17:])\n    except:\n        no_stat = float('nan')\n    df = df.append(pd.Series([of, alpha, size, op, max_size, malloc_size,\n                              warmup, init, no_stat], index=df.columns), ignore_index=True)\n    return df\n\ndef convert(name, size, op):\n    json_dic = {}\n    json_dic[\"convert_from\"] = name+\"_frozen.pb\"\n    json_dic[\"convert_to\"] = name+\"_\"+op+\"_converted.tflite\"\n    json_dic[\"input_nodes\"] = \"input\"\n    json_dic[\"output_nodes\"] = \"MobilenetV1/Predictions/Reshape_1:0\"\n    command = \"\"\n    if op == 'float':\n        command = json.dumps([json_dic])\n    if op == 'float16':\n        quant_dic = {}\n        quant_dic[\"type\"]=\"float16\"\n        quant_dic[\"opsset\"] = \"tf\"\n        json_dic[\"quantization\"] = quant_dic\n        command = json.dumps([json_dic])\n    if op == 'int8':\n        quant_dic = {}\n        quant_dic[\"type\"]=\"int8\"\n        quant_dic[\"opsset\"] = \"int8\"\n        quant_dic[\"load\"] = REP_DATA + \" --custom_data '1,\" + size + \",\" + size + \",\" + \"3,1000' --undefok custom_data\"\n        json_dic[\"quantization\"] = quant_dic\n        command = json.dumps([json_dic])\n    if op == 'uint8':\n        quant_dic = {}\n        quant_dic[\"type\"]=\"uint8\"\n        quant_dic[\"opsset\"] = \"tf\"\n        quant_dic[\"load\"] = REP_DATA + \" --custom_data '1,\" + size + \",\" + size + \",\" + \"3,1000' --undefok custom_data\"\n        json_dic[\"quantization\"] = quant_dic\n        command = json.dumps([json_dic])\n    try:\n        process = subprocess.Popen(\"python3 -m aup.dlconvert -d \" + \"'\" + str(command)  + \"'\", shell=True).wait()\n    except:\n        print(\"Could not Convert= \" + str(command))\n        return 0\n    return 1\n    \nfor key in KEYS:\n\n    name = MOBILENET + \"_\" + key[0] + \"_\" + key[1]\n\n    print(\"Starting \" + str(name))\n\n    if(not preprocess(name)):\n        continue\n\n    if(not push_to_device(name)):\n        continue\n\n    infer,memo = run_benchmark(name)\n\n    df = compile_results(infer, memo, df, \"official\", \"float\", key[0], key[1])\n\n    new_name = name + \"_quant\"\n\n    print(\"Starting \" + str(new_name))\n\n    if(not preprocess(new_name)):\n        continue\n\n    if(not push_to_device(new_name)):\n        continue\n\n    infer,memo = run_benchmark(new_name)\n\n    df = compile_results(infer, memo , df, \"official\", \"int8\", key[0], key[1])\n    \n    print(\"Starting converted tflite benchmarking\")\n\n    for op in OP_TYPE:\n\n        converted = convert(name, key[1], op)\n\n        if not converted:\n            print(\"Failed \" + str(name) + \" \" + str(op))\n            continue\n\n        print(\"testing= \" + str(name) + \" \" + str(op))\n\n        new_name = name + \"_\" + op + \"_converted\"\n\n        if(not push_to_device(new_name)):\n            continue\n\n        infer,memo = run_benchmark(new_name)\n\n        df = compile_results(infer, memo, df, \"converted\", str(op), key[0], key[1])\n        \nprint(df.to_string())\ndf.to_pickle(\"./data_mobilenet.pkl\")\n"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/.gitignore",
    "content": "mobilenet*\ninput_models\noutput_models\n*.tgz\nDockerfile_*\ndensenet*\nnasnet*\nsqueezenet*\n"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/README.md",
    "content": "# Profiling TensorFlow Lite/ONNX model performance for CPU\nIn this example, we show how to use Converter to convert models into edge device-friendly formats (TensorFlow Lite and ONNX) and then profile their performance (i.e. runtime and memory usage) on CPU using Auptimizer's Profiler package. \n\nWe use standard image classification models in Protobuf format and convert them to TensorFlow or ONNX. Once we have models in a common format, we can benchmark their performance using Profiler with different hardware settings.\n\nBy pairing Auptimizer's Converter and Profiler capabilities, you can significantly reduce the effort needed to prepare an ML model for edge deployment. You can simply download models from various DL platforms and libraries, convert them to a common edge-friendly standard and estimate the script's runtime and memory usage for your target device constraints.\n\n\n## How to run this example\n- *Step 1*: Download a few protobuf models for testing \n  ``` \n  python download_test_models.py \n  ```\n  and create a new folder called `output\\_models`. \nThe `download_test_models.py` script should download the squeezenet, densenet, and nasnet-mobile models into `input_models` directory.\n\n- *Step 2*: Convert the models to TensorFlow Lite:\n\n  ``` \n  python -m aup.dlconvert -f convert_tflite.json\n  ```\n- *Step 3*: Profile the converted TensorFlow Lite models and the downloaded official TensorFlow Lite models released by TensorFlow for the same model architecture. Run the following to do profiling:\n  ```bash\n  python -m aup.profiler -e env_tflite.template -f model_names_tflite.txt\n  ```\n\n  This creates an output text file with the details of the model performance. The Docker settings can be edited using the `env_tflite.template` file and the test script can be edited using `test_perf_tflite.py`.\n  \nWe show output from running the example on MacOS. From `tflite_output.txt`, we see that the performances of the converted models are very close to those of the official TensorFlow Lite models, which validates that the conversion from Protobuf to TensorFlow Lite works correctly.\n\nYou can similarly convert the models to ONNX and profile the performances. The sample conversion configuration json file `convert_onnx.json` and the Profiling environment file `env_onnx.template` are provided.\n"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/convert_onnx.json",
    "content": "[\n    {\n        \"convert_from\":\"input_models/densenet/densenet.pb\",\n        \"convert_to\":\"output_models/densenet_converted.onnx\",\n        \"input_nodes\":\"Placeholder:0\",\n        \"output_nodes\":\"softmax_tensor:0,ArgMax:0\"\n    },\n\n    {\n        \"convert_from\":\"input_models/squeezenet.pb\",\n        \"convert_to\":\"output_models/squeezenet_converted.onnx\",\n        \"input_nodes\":\"Placeholder:0\",\n        \"output_nodes\":\"softmax_tensor:0\"\n    },\n\n    {\n        \"convert_from\":\"input_models/nasnet_mobile.pb\",\n        \"convert_to\":\"output_models/nasnet_mobile_converted.onnx\",\n        \"input_nodes\":\"input:0\",\n        \"output_nodes\":\"final_layer/predictions:0\"\n    }\n]\n"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/convert_tflite.json",
    "content": "[\n    {\n        \"convert_from\":\"input_models/squeezenet.pb\",\n        \"convert_to\":\"output_models/squeezenet_converted.tflite\",\n        \"input_nodes\":\"Placeholder:0\",\n        \"output_nodes\":\"softmax_tensor:0\"\n    },\n    \n    {\n        \"convert_from\":\"input_models/densenet/densenet.pb\",\n        \"convert_to\":\"output_models/densenet_converted.tflite\",\n        \"input_nodes\":\"Placeholder:0\",\n        \"output_nodes\":\"softmax_tensor:0,ArgMax:0\"\n    },\n\n    {\n        \"convert_from\":\"input_models/nasnet_mobile.pb\",\n        \"convert_to\":\"output_models/nasnet_mobile_converted.tflite\",\n        \"input_nodes\":\"input:0\",\n        \"output_nodes\":\"final_layer/predictions:0\"\n    }\n]\n"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/download_test_models.py",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\nimport os\nimport json\nimport argparse\nimport logging\nimport requests\nimport shutil\n\nall_urls = {\"densenet\": \"https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/densenet_2018_04_27.tgz\",\n      \"squeezenet\": \"https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/squeezenet_2018_04_27.tgz\",\n      \"nasnet_mobile\": \"https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/nasnet_mobile_2018_04_27.tgz\"}\nmodel_folder = \"input_models\"\n\ndef download_all_url(all_urls, model_folder):\n\n    for model, url in all_urls.items():\n        tarFilename = url.split('/')[-1]\n\n        # check if the tar file already exists on disk\n        # if not tarFilename[0].isdigit() and os.path.isfile(tarFilename):\n        if os.path.isfile(tarFilename):\n            print (\"File already exists, skipping \", url)\n            continue\n        print(\"Downloading \", url)\n        response = requests.get(url, stream=True)\n        if response.status_code == 200:\n            with open(tarFilename, 'wb') as f:\n                f.write(response.raw.read())\n        save_folder = model_folder\n        shutil.unpack_archive(tarFilename, save_folder)\n\n\n\nif __name__ == '__main__':\n    download_all_url(all_urls, model_folder)\n"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/env_onnx.template",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n#User data Variables\nIMAGEREPO=tensorflow/tensorflow:1.15.0-py3\nAPTREQUIREMENTS=\"wget\"\nPRERUN=\"pip install onnxruntime\"\nDIR=./\nSCRIPT=test_perf_onnx.py\nCOMMAND=python\nSAMPLETIME=3\nOUTPUTFILE=onnx_output.txt\nDOCFILE=Dockerfile\nDOCKCPUS=\"4.0\"\nDOCKMEMORY=\"2.0g\"\n# Additional docker arguments could be passed as following:\n# To run Docker container with privilege capability change to 'true'\n# To use Volume instead of copying data with the current folder\n# use the format \"-v /path/in/source:/path/in/destination\" as string\n# DOCKER_ARGS=\"--privileged -v /data:/mnist_data\"\nDOCKER_ARGS="
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/env_tflite.template",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n#User data Variables\nIMAGEREPO=tensorflow/tensorflow:1.15.0-py3\nAPTREQUIREMENTS=\"wget\"\n# PIPREQUIREMENTS=\"ipython numpy\"\nPRERUN=\"wget https://dl.google.com/coral/python/tflite_runtime-1.14.0-cp36-cp36m-linux_x86_64.whl; pip install tflite_runtime-1.14.0-cp36-cp36m-linux_x86_64.whl\"\nDIR=./\nSCRIPT=test_perf_tflite.py\nCOMMAND=python\nSAMPLETIME=3\nOUTPUTFILE=tflite_output.txt\nDOCFILE=Dockerfile\nDOCKCPUS=\"4.0\"\nDOCKMEMORY=\"2.0g\"\n# Additional docker arguments could be passed as following:\n# To run Docker container with privilege capability change to 'true'\n# To use Volume instead of copying data with the current folder\n# use the format \"-v /path/in/source:/path/in/destination\" as string\n# DOCKER_ARGS=\"--privileged -v /data:/mnist_data\"\nDOCKER_ARGS="
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/model_names_tflite.txt",
    "content": "input_models/densenet/densenet.tflite\noutput_models/densenet_converted.tflite\ninput_models/squeezenet.tflite\noutput_models/squeezenet_converted.tflite\ninput_models/nasnet_mobile.tflite\noutput_models/nasnet_mobile_converted.tflite"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/test_perf_onnx.py",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\n# Compute the overall inference time for a given tflite model\n\nimport onnxruntime as rt\nimport numpy as np\nimport time\n\n\nWARMUP = 10\nITER = 600\nCONSTANT = 0.5\n\n\ndef compute(model_path):\n    now = time.monotonic()\n    sess = rt.InferenceSession(model_path)\n    input_det = sess.get_inputs()[0]\n    label_det = sess.get_outputs()[0]\n    input_name = input_det.name\n    input_shape = input_det.shape\n    \n    if 'N' in input_shape:\n        input_shape[input_shape.index('N')] = 1\n    input_shape[0] = 1\n    print(\"input_shape\", input_shape)    \n    t1 = time.monotonic() - now\n    now = time.monotonic()\n    \n    for i in range(WARMUP):\n        X_test = np.random.random(size=input_shape).astype(np.float32)\n        pred_onx = sess.run(None, {input_name: X_test})[0]\n    t2 = time.monotonic() - now\n    now = time.monotonic()\n    for i in range(ITER):\n        X_test = np.random.random(size=input_shape).astype(np.float32)\n        pred_onx = sess.run(None, {input_name: X_test})[0]\n    t3 = time.monotonic() - now    \n    return t1, t2/float(WARMUP), t3/float(ITER)\n\n\nif __name__ == \"__main__\":\n    import sys\n\n    if len(sys.argv) != 2:\n        print(\"test_perf_onnx.py <model_path>\")\n        \n    print(compute(sys.argv[1]))"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/test_perf_tflite.py",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\n# Compute the overall inference time for a given tflite model\nimport tensorflow as tf\nfrom tflite_runtime.interpreter import Interpreter\nimport tensorflow.random\nimport numpy as np\nimport time\nimport os\n\n\nWARMUP = 10\nITER = 300\nCONSTANT = 0.5\n\n\ndef compute(model_path):\n    now = time.monotonic()\n    intp = Interpreter(model_path)\n    x = intp.tensor(intp.get_input_details()[0]['index'])\n    iy = intp.get_output_details()[0]['index']\n    intp.allocate_tensors()\n    t1 = time.monotonic() - now\n    now = time.monotonic()\n    \n    for i in range(WARMUP):\n        #x().fill(CONSTANT)\n        x =np.random.rand()\n        intp.invoke()\n        y = intp.get_tensor(iy)\n    t2 = time.monotonic() - now\n    now = time.monotonic()\n    for i in range(ITER):\n        #x().fill(CONSTANT)\n        x =np.random.rand()\n        intp.invoke()\n        y = intp.get_tensor(iy)\n    t3 = time.monotonic() - now    \n    return t1, t2/float(WARMUP), t3/float(ITER)\n\n\nif __name__ == \"__main__\":\n    import sys\n\n    if len(sys.argv) != 2:\n        print(\"test_perf_tflite.py <model_path>\")\n        \n    print(compute(sys.argv[1]))"
  },
  {
    "path": "Examples/converter_examples/Convert_Profiler/tflite_output.txt",
    "content": "Usage stats for Experiment ran on : 2020-10-08 10:26:18.302189\nNAME                     AVG CPU %      PEAK CPU  AVG MEM USAGE / LIMIT    PEAK MEM    NET I/O           BLOCK I/O        TOTAL TIME (ms)\n-----------------------  -----------  ----------  -----------------------  ----------  ----------------  -------------  -----------------\ndensenet                 256.601%         260.97  162.9 MiB / 1.9 GiB      163.0 MiB   850.0 B / 42.0 B  0.0 B / 0.0 B              27640\ndensenet_converted       254.545%         259.71  162.9 MiB / 1.9 GiB      163.0 MiB   843.0 B / 42.0 B  0.0 B / 0.0 B              27635\nsqueezenet               272.655%         274.36  127.6 MiB / 1.9 GiB      127.7 MiB   773.0 B / 42.0 B  0.0 B / 0.0 B               3132\nsqueezenet_converted     274.83%          276.06  129.7 MiB / 1.9 GiB      129.8 MiB   731.0 B / 0.0 B   0.0 B / 0.0 B               3067\nnasnet_mobile            155.766%         159.16  135.1 MiB / 1.9 GiB      135.3 MiB   839.0 B / 42.0 B  0.0 B / 0.0 B              24549\nnasnet_mobile_converted  154.046%         159.38  123.0 MiB / 1.9 GiB      134.7 MiB   854.0 B / 42.0 B  0.0 B / 0.0 B              24515\n\n"
  },
  {
    "path": "Examples/converter_examples/README.md",
    "content": "# Model Conversion Examples\n\nThis folder contains examples that demonstrate Converter coverage and efficacy.\n\n### - Evaluating supported model architectures \n[Tested_Models](/Examples/converter_examples/Tested_Models) - This example evaluates common model architecture coverage by the individual conversion functions. It also summarizes known issues. **We strongly recommend that users review this example first before running their conversion tasks.**\n\n### - Benchmarking quantized TensorFlow Lite models on an Android phone\n[Convert_Benchmark](/Examples/converter_examples/Convert_Benchmark) - This example demonstrates how to benchmark quantized TensorFlow Lite model performance (i.e. running time and memory usage) on an Android phone. Specifically, we converted models from a TensorFlow frozen protobuf file to a quantized .tflite file, and benchmarked their performance on an LG G6 mobile phone. \n\nThis example shows that models converted and quantized with Converter match the performance of the official quantized\nmodels provided in the [TensorFlow repo](https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md).\n\n### - Profiling performances of converted models using Auptimizer Profiler\n[Convert_Profiler](/Examples/converter_examples/Convert_Profiler) - This example demonstrates how to use Auptimizer-Profiler to profile TensorFlow or ONNX model performance on CPU. Performance benchmarking scripts are provided for TensorFlow and ONNX. \n\n### How to run the examples\n\nIf you have not done so, please install the packages in `dlconvert_requirements.txt` before running the examples included in this directory.\n\n```bash\npip install -r dlconvert_requirements.txt\n```\n\nWe provide specific instructions for each example in the respective folder.\n\n\n"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/.gitignore",
    "content": "test_models/\nconverted_models/\n*.tgz\n*.gz\n*.pb\n*.h5\n*_internal*\n"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/README.md",
    "content": "# Model Coverage\nIn this example, we have evaluated the capabilities and limitations of Converter conversion functions by applying the tool to select models in various supported formats.  \n\nWe tested the official models hosted/released by TensorFlow or PyTorch. Our goal was to cover as many models as possible. However, due to the limited availability of officially released models and the large number of model architectures, this evaluation does not aim to test all models exhaustively. Rather, its purpose is to identify and address common model conversion issues.\n\n**We strongly recommended reviewing model coverage and known issues for the specific conversions, before you start using Converter.**\n\n## How to run the evaluation tests\n- *Step 0*: Make sure you have installed required packages listed in [dlconvert_requirement.txt](../dlconvert_requirements.txt).  \n\n- *Step 1*: Prepare test models.   \nThere are two ways to get the test models: 1) Direct download via URLs and 2) Create the models using Python scripts.  \n\nTo download models, run `python download_models.py`. This will automatically download models from the URLs list in `download_urls.json` and save them into a `test_models` folder. The downloaded models are in Protobuf, Checkpoint or Savedmodel formats.  \n\nTo create models, run `python create_test_models.py`. This will create Keras and PyTorch models and save them into the `test_models` folder.\n\n- *Step 2*: Convert test models to TensorFlow Lite/ONNX.  \nThe configuration json files for each type of conversion (from one source format to either TensorFlow Lite or ONNX) are located in [conversion_jsons](/conversion_jsons). You can run model conversion with each json file individually to test a certain conversion; e.g., \n   ```bash\n   python3 -m aup.dlconvert -f conversion_jsons/convert_keras_to_onnx.json\n   ```\nIn the json files, we set `skip:True` for the models that were tested but failed the conversion.\n\n## Model support and known issues\nHere we share the findings from the evaluation test for each individual conversion function. The model names corresponds to their names in `download_models.py` or `create_test_models.py`.\n\nFor the failed models, some failures were caused by non-supported operators in the conversion tool, while others by more model-specific issues that Converter cannot handle. Any model that is not listed below has not been tested.\n\nIf not specified, the (un)supported models apply to both TensorFlow v2.3 and TensorFlow v1.15. Please make sure you are using the TensorFlow version no lower than v1.15 to run the tests.\n\n\n\n### Savedmodel to TensorFlow Lite\n- Supported:  \nresnet_50_TF2, efficientnet_b1_TF2, lstm, gru\n\n- Not supported:  \nNon-supported operators: object detection models from [TensorFlow 2 Detection Model Zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md), transformer models  \nModel-specific issues: ssd_mobilenet_v1_coco, ssd_mobilenet_v2_coco\n\n- Known issues:  \n  - This conversion is only supported by Tensorflow v2.x.   \n  - For some models downloaded from [TensorFlow Hub](https://tfhub.dev/) in Savedmodel format, the signature is empty. Conversion from Savedmodel format requires non-empty signature and tag.\n\n### Savedmodel to ONNX\n- Supported:  \nresnet_50_TF2, efficientnet_b1_TF2, lstm, gru, ssd_mobilenet_v1_coco, ssd_mobilenet_v2_coco\n\n- Not supported:  \nNon-supported operators: object detection models from [TensorFlow 2 Detection Model Zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md), transformer models\n\n- Known issues:   \n  - This conversion is only supported by Tensorflow v2.x.   \n  - Conversion from Savedmodel format requires non-empty signature and tag.\n\n### Protobuf to TensorFlow Lite\n- Supported:  \ndensenet, squeezenet, nasnet_mobile, inception_v3, mobilenet_v1_0.25_224  \n\n- Not supported:  \nNon-supported input type uint 8: ssd_mobilenet_v1, ssd_mobilenet_v2\n\n- Known issues:  \n  - Conversion requires correct input_nodes name and output_nodes name. When using the [summarize graph tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/graph_transforms#inspecting-graphs), you can get the names correctly. But you need to make them into format `input_name:0` or `output_name:0`; i.e., adding `:0` after the name you found from the summarize graph tool.\n  - The model to be converted and the input should be in float32 format.\n  - Issue with Tensorflow v1.15: None dimension is only allowed for the 1st dimension of the input. When saving model to protobuf, please specify input dimension.\n\n### Protobuf to ONNX\n- Supported:  \ndensenet, squeezenet, nasnet_mobile, inception_v3, mobilenet_v1_0.25_224, ssd_mobilenet_v1, ssd_mobilenet_v2\n\n- Known issues:  \n  - Conversion requires correct input_nodes name and output_nodes name. When using the [summarize graph tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/graph_transforms#inspecting-graphs), you can get the names correctly. But you need to make them into format `input_name:0` or `output_name:0`; i.e., adding `:0` after the name you found from the summarize graph tool.\n\n### Keras to TensorFlow Lite\n- Supported: \nVGG16, ResNet50, InceptionV3, MobileNet, MobileNetV2, DenseNet121, NASNetMobile, gru (supported by TF v2.3 only)\n\n- Not supported:  \nModel-specific conversion error: lstm\n\n- Known issues:\n  - Need to set parameter `quantization: opsset` to `tf` to enable successful conversion.\n\n### Keras to ONNX\n- Supported:  \nVGG16, ResNet50, MobileNet, MobileNetV2, DenseNet121, NASNetMobile, lstm, gru (supported by TF v2.3 only), InceptionV3 (supported by TF v1.15 only)\n\n### Checkpoint to TensorFlow Lite\n- Known issues:\n  - This conversion is experimental. There is no direct conversion tool available. Therefore, the approach taken is to convert a checkpoint file to frozen protobuf first, then to TensorFlow Lite. Hence, this conversion can be fragile. \n\n### Checkpoint to ONNX\n- Supported:  \nmobilenet_v1_0.25_224, ssd_mobilenet_v1, ssd_mobilenet_v2, lstm\n\n### PyTorch to TensorFlow Lite\n- Supported:  \nall **image classification** models in [torchvision.models](https://pytorch.org/docs/stable/torchvision/models.html#)\n\n- Not supported:  \nNon-supported operators: fcn_resnet50, deeplabv3_resnet50, rnn models, resnet_3d, resnet_MC, resnet(2+1)d (the last three models all have 3D convolution layers)\n\n- Known issues:  \n  - To use the converter properly, please make changes in your `~/.keras/keras.json`: \n  ```bash\n  \"backend\": \"tensorflow\", \n  \"image_data_format\": \"channels_first\"\n  ```\n  - Models with `BatchNorm2d`/`BatchNorm3d` layers are not supported in TF v1.15.\n\n### PyTorch to ONNX\n- Supported:  \nall **image classification**, **semantic segmentation**, and **video classification** models in [torchvision.models](https://pytorch.org/docs/stable/torchvision/models.html#)\n\n- Not supported:  \nNon-supported operators: rnn models\n\n- Known issues:\n  - For supported models, all models can be converted using `torch==1.5.1` and `torchvision==0.6.1`, while some models fail when using `torch==1.6.0` and `torchvision==0.7.0`.\n  - Models with `BatchNorm2d`/`BatchNorm3d` layers are not supported in TF v1.15.\n\n## More resources\nAuptimizer model conversion tools integrates [TFLite converter](https://www.tensorflow.org/lite/convert), [tf2onnx](https://github.com/onnx/tensorflow-onnx), [keras2onnx](https://github.com/onnx/keras-onnx), and [pytorch2keras](https://github.com/nerox8664/pytorch2keras) packages. Please check those resources for more info on model support.\n"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_checkpoint_to_onnx.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/mobilenet_v1_0.25_224/mobilenet_v1_0.25_224.ckpt.meta\",\n        \"convert_to\":\"converted_models/mobilenet_v1_0.25_224_ckpt_converted.onnx\",\n        \"input_nodes\":\"batch:0\",\n        \"output_nodes\":\"MobilenetV1/Predictions/Reshape_1:0\",\n        \"input_shape\":\"1,224,224,3\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v1_coco_2018_01_28/model.ckpt.meta\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v1_ckpt_converted.onnx\",\n        \"input_nodes\":\"image_tensor:0\",\n        \"output_nodes\":\"detection_boxes:0,detection_scores:0,num_detections:0,detection_classes:0\",\n        \"input_shape\":\"1,224,224,3\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v2_coco_2018_03_29/model.ckpt.meta\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v2_ckpt_converted.onnx\",\n        \"input_nodes\":\"image_tensor:0\",\n        \"output_nodes\":\"num_detections:0,detection_classes:0,detection_scores:0,detection_boxes:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/lstm_ckpt/ckpt.meta\",\n        \"convert_to\":\"converted_models/lstm_ckpt_converted.onnx\",\n        \"input_nodes\":\"embedding_input:0\",\n        \"output_nodes\":\"dense/BiasAdd:0\",\n        \"skip\": \"False\"\n    }\n\n\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_checkpoint_to_tflite.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/mobilenet_v1_0.25_224/mobilenet_v1_0.25_224.ckpt.meta\",\n        \"convert_to\":\"converted_models/mobilenet_v1_0.25_224_ckpt_converted.tflite\",\n        \"input_nodes\":\"batch:0\",\n        \"output_nodes\":\"MobilenetV1/Predictions/Reshape_1:0\",\n        \"skip\": \"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v1_coco_2018_01_28/model.ckpt.meta\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v1_ckpt_converted.tflite\",\n        \"input_nodes\":\"image_tensor:0\",\n        \"output_nodes\":\"detection_boxes:0,detection_scores:0,num_detections:0,detection_classes:0\",\n        \"input_shape\": \"1,224,224,3\",\n        \"skip\": \"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v2_coco_2018_03_29/model.ckpt.meta\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v2_ckpt_converted.tflite\",\n        \"input_nodes\":\"image_tensor:0\",\n        \"output_nodes\":\"num_detections:0,detection_classes:0,detection_scores:0,detection_boxes:0\",\n        \"skip\": \"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/lstm_ckpt/ckpt.meta\",\n        \"convert_to\":\"converted_models/lstm_ckpt_converted.tflite\",\n        \"input_nodes\":\"embedding_input:0\",\n        \"output_nodes\":\"dense/BiasAdd:0\",\n        \"input_shape\":\"1,53\",\n        \"skip\": \"True\"\n    }\n\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_keras_to_onnx.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/VGG16.h5\",\n        \"convert_to\":\"converted_models/VGG16_keras.onnx\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ResNet50.h5\",\n        \"convert_to\":\"converted_models/ResNet50_keras.onnx\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/InceptionV3.h5\",\n        \"convert_to\":\"converted_models/InceptionV3_keras.onnx\",\n        \"skip\":\"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/MobileNet.h5\",\n        \"convert_to\":\"converted_models/MobileNet_keras.onnx\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/MobileNetV2.h5\",\n        \"convert_to\":\"converted_models/MobileNetV2_keras.onnx\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/DenseNet121.h5\",\n        \"convert_to\":\"converted_models/DenseNet121_keras.onnx\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/NASNetMobile.h5\",\n        \"convert_to\":\"converted_models/NASNetMobile_keras.onnx\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/lstm.h5\",\n        \"convert_to\":\"converted_models/lstm_keras.onnx\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/gru.h5\",\n        \"convert_to\":\"converted_models/gru_keras.onnx\",\n        \"skip\":\"False\"\n    }\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_keras_to_tflite.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/VGG16.h5\",\n        \"convert_to\":\"converted_models/VGG16_keras.tflite\",\n        \"quantization\": {\n            \"opsset\":\"tf\"\n        },\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ResNet50.h5\",\n        \"convert_to\":\"converted_models/ResNet50_keras.tflite\",\n        \"quantization\": {\n            \"opsset\":\"tf\"\n        },\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/InceptionV3.h5\",\n        \"convert_to\":\"converted_models/InceptionV3_keras.tflite\",\n        \"quantization\": {\n            \"opsset\":\"tf\"\n        },\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/MobileNet.h5\",\n        \"convert_to\":\"converted_models/MobileNet_keras.tflite\",\n        \"quantization\": {\n            \"opsset\":\"tf\"\n        },\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/MobileNetV2.h5\",\n        \"convert_to\":\"converted_models/MobileNetV2_keras.tflite\",\n        \"quantization\": {\n            \"opsset\":\"tf\"\n        },\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/DenseNet121.h5\",\n        \"convert_to\":\"converted_models/DenseNet121_keras.tflite\",\n        \"quantization\": {\n            \"opsset\":\"tf\"\n        },\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/NASNetMobile.h5\",\n        \"convert_to\":\"converted_models/NASNetMobile_keras.tflite\",\n        \"quantization\": {\n            \"opsset\":\"tf\"\n        },\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/lstm.h5\",\n        \"convert_to\":\"converted_models/lstm_keras.tflite\",\n        \"skip\":\"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/gru.h5\",\n        \"convert_to\":\"converted_models/gru_keras.tflite\",\n        \"skip\":\"False\"\n    }\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_protobuf_to_onnx.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/densenet/densenet.pb\",\n        \"convert_to\":\"converted_models/densenet_converted.onnx\",\n        \"input_nodes\":\"Placeholder:0\",\n        \"output_nodes\":\"softmax_tensor:0,ArgMax:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/squeezenet.pb\",\n        \"convert_to\":\"converted_models/squeezenet_converted.onnx\",\n        \"input_nodes\":\"Placeholder:0\",\n        \"output_nodes\":\"softmax_tensor:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/nasnet_mobile.pb\",\n        \"convert_to\":\"converted_models/nasnet_mobile_converted.onnx\",\n        \"input_nodes\":\"input:0\",\n        \"output_nodes\":\"final_layer/predictions:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/inception_v3.pb\",\n        \"convert_to\":\"converted_models/inception_v3_converted.onnx\",\n        \"input_nodes\":\"input:0\",\n        \"output_nodes\":\"InceptionV3/Predictions/Reshape_1:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/mobilenet_v1_0.25_224/mobilenet_v1_0.25_224_frozen.pb\",\n        \"convert_to\":\"converted_models/mobilenet_v1_0.25_224_converted.onnx\",\n        \"input_nodes\":\"input:0\",\n        \"output_nodes\":\"MobilenetV1/Predictions/Reshape_1:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v1_coco_2018_01_28/frozen_inference_graph.pb\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v1_converted.onnx\",\n        \"input_nodes\":\"image_tensor:0\",\n        \"output_nodes\":\"detection_boxes:0,detection_scores:0,num_detections:0,detection_classes:0\",\n        \"input_shape\":\"1,224,224,3\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v2_coco_2018_03_29/frozen_inference_graph.pb\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v2_converted.onnx\",\n        \"input_nodes\":\"image_tensor:0\",\n        \"output_nodes\":\"num_detections:0,detection_classes:0,detection_scores:0,detection_boxes:0\",\n        \"skip\": \"False\"\n    }\n\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_protobuf_to_tflite.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/densenet/densenet.pb\",\n        \"convert_to\":\"converted_models/densenet_converted.tflite\",\n        \"input_nodes\":\"Placeholder\",\n        \"output_nodes\":\"softmax_tensor:0,ArgMax:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/squeezenet.pb\",\n        \"convert_to\":\"converted_models/squeezenet_converted.tflite\",\n        \"input_nodes\":\"Placeholder\",\n        \"output_nodes\":\"softmax_tensor:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/nasnet_mobile.pb\",\n        \"convert_to\":\"converted_models/nasnet_mobile_converted.tflite\",\n        \"input_nodes\":\"input:0\",\n        \"output_nodes\":\"final_layer/predictions:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/inception_v3.pb\",\n        \"convert_to\":\"converted_models/inception_v3_converted.tflite\",\n        \"input_nodes\":\"input:0\",\n        \"output_nodes\":\"InceptionV3/Predictions/Reshape_1:0\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/mobilenet_v1_0.25_224/mobilenet_v1_0.25_224_frozen.pb\",\n        \"convert_to\":\"converted_models/mobilenet_v1_0.25_224_converted.tflite\",\n        \"input_nodes\":\"input:0\",\n        \"output_nodes\":\"MobilenetV1/Predictions/Reshape_1:0\",\n        \"input_shape\": \"1,224,224,3\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v1_coco_2018_01_28/frozen_inference_graph.pb\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v1_converted.tflite\",\n        \"input_nodes\":\"image_tensor:0\",\n        \"output_nodes\":\"detection_boxes:0,detection_scores:0,num_detections:0,detection_classes:0\",\n        \"input_shape\": \"1,224,224,3\",\n        \"skip\": \"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v2_coco_2018_03_29/frozen_inference_graph.pb\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v2_converted.tflite\",\n        \"input_nodes\":\"image_tensor:0\",\n        \"output_nodes\":\"num_detections:0,detection_classes:0,detection_scores:0,detection_boxes:0\",\n        \"input_shape\": \"1,224,224,3\",\n        \"skip\": \"True\"\n    }\n\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_pytorch_to_onnx.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/resnet18.pt\",\n        \"convert_to\":\"converted_models/resnet_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/alexnet.pt\",\n        \"convert_to\":\"converted_models/alexnet_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/squeezenet1_0.pt\",\n        \"convert_to\":\"converted_models/squeezenet1_0_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/densenet161.pt\",\n        \"convert_to\":\"converted_models/densenet161_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/googlenet.pt\",\n        \"convert_to\":\"converted_models/googlenet_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/shufflenet_v2_x1_0.pt\",\n        \"convert_to\":\"converted_models/shufflenet_v2_x1_0_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/mobilenet_v2.pt\",\n        \"convert_to\":\"converted_models/mobilenet_v2_x1_0_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/resnext50_32x4d.pt\",\n        \"convert_to\":\"converted_models/resnext50_32x4d_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/wide_resnet50_2.pt\",\n        \"convert_to\":\"converted_models/wide_resnet50_2_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/mnasnet1_0.pt\",\n        \"convert_to\":\"converted_models/mnasnet1_0_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/inception_v3.pt\",\n        \"convert_to\":\"converted_models/inception_v3_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,299,299\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/fcn_resnet50.pt\",\n        \"convert_to\":\"converted_models/fcn_resnet50_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Segmentation\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/deeplabv3_resnet50.pt\",\n        \"convert_to\":\"converted_models/deeplabv3_resnet50_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Segmentation\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/r3d_18.pt\",\n        \"convert_to\":\"converted_models/r3d_18_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,16,112,112\",\n        \"network_name\":\"Test_Model_Video\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/mc3_18.pt\",\n        \"convert_to\":\"converted_models/mc3_18_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,16,112,112\",\n        \"network_name\":\"Test_Model_Video\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/r2plus1d_18.pt\",\n        \"convert_to\":\"converted_models/r2plus1d_18_torch.onnx\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,16,112,112\",\n        \"network_name\":\"Test_Model_Video\",\n        \"skip\":\"False\"\n    }\n\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_pytorch_to_tflite.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/resnet18.pt\",\n        \"convert_to\":\"converted_models/resnet_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/alexnet.pt\",\n        \"convert_to\":\"converted_models/alexnet_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/squeezenet1_0.pt\",\n        \"convert_to\":\"converted_models/squeezenet1_0_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/densenet161.pt\",\n        \"convert_to\":\"converted_models/densenet161_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/googlenet.pt\",\n        \"convert_to\":\"converted_models/googlenet_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/shufflenet_v2_x1_0.pt\",\n        \"convert_to\":\"converted_models/shufflenet_v2_x1_0_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/mobilenet_v2.pt\",\n        \"convert_to\":\"converted_models/mobilenet_v2_x1_0_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/resnext50_32x4d.pt\",\n        \"convert_to\":\"converted_models/resnext50_32x4d_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/wide_resnet50_2.pt\",\n        \"convert_to\":\"converted_models/wide_resnet50_2_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/mnasnet1_0.pt\",\n        \"convert_to\":\"converted_models/mnasnet1_0_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/inception_v3.pt\",\n        \"convert_to\":\"converted_models/inception_v3_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,299,299\",\n        \"network_name\":\"Test_Model_Classification\",\n        \"skip\":\"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/fcn_resnet50.pt\",\n        \"convert_to\":\"converted_models/fcn_resnet50_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Segmentation\",\n        \"skip\":\"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/deeplabv3_resnet50.pt\",\n        \"convert_to\":\"converted_models/deeplabv3_resnet50_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,224,224\",\n        \"network_name\":\"Test_Model_Segmentation\",\n        \"skip\":\"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/r3d_18.pt\",\n        \"convert_to\":\"converted_models/r3d_18_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,16,112,112\",\n        \"network_name\":\"Test_Model_Video\",\n        \"skip\":\"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/mc3_18.pt\",\n        \"convert_to\":\"converted_models/mc3_18_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,16,112,112\",\n        \"network_name\":\"Test_Model_Video\",\n        \"skip\":\"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/r2plus1d_18.pt\",\n        \"convert_to\":\"converted_models/r2plus1d_18_torch.tflite\",\n        \"network_script\":\"create_test_models.py\",\n        \"input_shape\":\"1,3,16,112,112\",\n        \"network_name\":\"Test_Model_Video\",\n        \"skip\":\"True\"\n    }\n\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_savedmodel_to_onnx.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/resnet_50_TF2\",\n        \"convert_to\":\"converted_models/resnet_50_TF2_converted.onnx\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/efficientnet_b1_TF2\",\n        \"convert_to\":\"converted_models/efficientnet_b1_TF2_converted.onnx\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v1_coco_2018_01_28/saved_model\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v1_converted.onnx\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v2_coco_2018_03_29/saved_model\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v2_converted.onnx\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/lstm_savedmodel\",\n        \"convert_to\":\"converted_models/lstm_savedmodel_converted.onnx\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/gru_savedmodel\",\n        \"convert_to\":\"converted_models/gru_savedmodel_converted.onnx\",\n        \"skip\": \"False\"\n    }\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/conversion_jsons/convert_savedmodel_to_tflite.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/resnet_50_TF2\",\n        \"convert_to\":\"converted_models/resnet_50_TF2_converted.tflite\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/efficientnet_b1_TF2\",\n        \"convert_to\":\"converted_models/efficientnet_b1_TF2_converted.tflite\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/lstm_savedmodel\",\n        \"convert_to\":\"converted_models/lstm_savedmodel_converted.tflite\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/gru_savedmodel\",\n        \"convert_to\":\"converted_models/gru_savedmodel_converted.tflite\",\n        \"skip\": \"False\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v1_coco_2018_01_28/saved_model\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v1_converted.tflite\",\n        \"skip\": \"True\"\n    },\n\n    {\n        \"convert_from\":\"test_models/ssd_mobilenet_v1_coco_2018_01_28/saved_model\",\n        \"convert_to\":\"converted_models/ssd_mobilenet_v1_converted.tflite\",\n        \"skip\": \"True\"\n    }\n\n]"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/convert_pb_to_tflite.json",
    "content": "[\n    {\n        \"convert_from\":\"test_models/densenet/densenet.pb\",\n        \"convert_to\":\"converted_models/densenet_converted.tflite\",\n        \"input_nodes\":\"Placeholder\",\n        \"output_nodes\":\"softmax_tensor:0,ArgMax:0\"\n    }\n]\n"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/create_test_models.py",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\nimport torchvision.models as models\nimport torch\nimport torch.nn as nn\nimport tensorflow.keras.applications as applications\nimport tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\nfrom tensorflow.python.util import deprecation\nimport string\ndeprecation._PRINT_DEPRECATION_WARNINGS = False\n\nkeras_model_list = [\n    \"VGG16\", \"ResNet50\", \"InceptionV3\", \"MobileNet\", \"MobileNetV2\", \"DenseNet121\", \"NASNetMobile\"\n]\n\nclassification_model_list = [\n    \"resnet18\", \"alexnet\", \"squeezenet1_0\", \"densenet161\", \"inception_v3\",\n    \"googlenet\", \"shufflenet_v2_x1_0\", \"mobilenet_v2\", \"resnext50_32x4d\",\n    \"wide_resnet50_2\", \"mnasnet1_0\"\n]\n\nsegmentation_model_list = [\n    \"fcn_resnet50\", \"deeplabv3_resnet50\"\n]\n\nvideo_model_list = [\n    \"r3d_18\", \"mc3_18\", \"r2plus1d_18\"\n]\n\nclass Test_Model_Classification(object):\n    def __init__(self, model_name):\n        self.func = getattr(models, model_name)\n\n    def create_model(self):\n        model = self.func()\n        return model\n\nclass Test_Model_Segmentation(object):\n    def __init__(self, model_name):\n        self.func = getattr(models.segmentation, model_name)\n\n    def create_model(self):\n        model = self.func()\n        return model\n\nclass Test_Model_Video(object):\n    def __init__(self, model_name):\n        self.func = getattr(models.video, model_name)\n\n    def create_model(self):\n        model = self.func()\n        return model\n\ndef create_torch_cnn_models():\n    \n    for model_name in classification_model_list:\n        if model_name == \"inception_v3\":\n            x = torch.randn(1, 3, 299, 299)\n        else:\n            x = torch.randn(1, 3, 224, 224)\n        print(\"Creating model\", model_name)\n        model = Test_Model_Classification(model_name).create_model()\n        model.eval()\n        y = model(x)\n        save_path = \"test_models/\" + model_name + \".pt\"\n        torch.save(model, save_path)\n        print(\"Created Pytorch model saved to\", save_path)\n\n    for model_name in segmentation_model_list:\n        x = torch.randn(1, 3, 224, 224)\n        print(\"Creating model\", model_name)\n        model = Test_Model_Segmentation(model_name).create_model()\n        model.eval()\n        y = model(x)\n        save_path = \"test_models/\" + model_name + \".pt\"\n        torch.save(model, save_path)\n        print(\"Created Pytorch model saved to\", save_path)\n\n    for model_name in video_model_list:\n        x = torch.randn(1, 3, 16, 112, 112)\n        print(\"Creating model\", model_name)\n        model = Test_Model_Video(model_name).create_model()\n        model.eval()\n        y = model(x)\n        save_path = \"test_models/\" + model_name + \".pt\"\n        torch.save(model, save_path)\n        print(\"Created Pytorch model saved to\", save_path)\n\ndef create_keras_cnn_models():\n    for cls_name in keras_model_list:\n        model_func = getattr(applications, cls_name)\n        model = model_func(weights = None)\n        save_path = \"test_models/\" + cls_name + \".h5\"\n        model.save(save_path) \n        print(\"Created Keras model saved to\", save_path)\n\ndef create_tf_lstm_model():\n    tf.compat.v1.disable_eager_execution()\n    \n    # Create a test lstm network based on Pytorch doc\n    model = keras.Sequential()\n    # Add an Embedding layer expecting input vocab of size 1000, and\n    # output embedding dimension of size 64.\n    model.add(layers.Embedding(input_dim=1000, output_dim=64))\n    model.add(layers.LSTM(128))\n    model.add(layers.Dense(10))\n    \n    # save checkpoint\n    model.save_weights(\"test_models/lstm_ckpt/ckpt\")\n    ckpt_meta = \"test_models/lstm_ckpt/ckpt.meta\"\n    tf.compat.v1.train.export_meta_graph(filename=ckpt_meta)\n\n    # save keras model\n    model.save(\"test_models/lstm.h5\")\n\n    # save TF savedmodel\n    model.save(\"test_models/lstm_savedmodel\", save_format='tf')\n\n    # print model input/output names\n    print(\"lstm model input name:\", model.input)\n    print(\"lstm model output name:\",model.output)\n\n\ndef create_tf_gru_model():\n    tf.compat.v1.disable_eager_execution()\n\n    # Create a test rnn network based on Pytorch doc\n    model = keras.Sequential()\n    model.add(layers.Embedding(input_dim=1000, output_dim=64))\n    # The output of GRU will be a 3D tensor of shape (batch_size, timesteps, 256)\n    model.add(layers.GRU(256, return_sequences=True))\n    # The output of SimpleRNN will be a 2D tensor of shape (batch_size, 128)\n    model.add(layers.SimpleRNN(128))\n    model.add(layers.Dense(10))\n    \n    # save keras model\n    model.save(\"test_models/gru_TF1.h5\")\n    # save TF savedmodel\n    model.save(\"test_models/gru_savedmodel\",save_format='tf')\n    # print model input/output names\n    print(\"gru model input name:\", model.input)\n    print(\"gru model output name:\", model.output)\n\n\nif __name__ == \"__main__\":\n    create_torch_cnn_models()\n    create_keras_cnn_models()\n    create_tf_lstm_model()\n    create_tf_gru_model()"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/download_models.py",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\nimport os\nimport json\nimport argparse\nimport logging\nimport requests\nimport shutil\n\ndef download_all_url(url_file, model_folder):\n    try:\n        with open(url_file) as f:\n           all_urls = json.load(f)\n    except Exception as e:\n        logging.fatal(\"The url json file could not be opened\")\n        raise e\n\n    for model_type in all_urls:\n        url_list = all_urls[model_type]\n        for model_name in url_list:\n            url = url_list[model_name]\n            # print(url)\n            tarFilename = url.split('/')[-1]\n\n            # check if the tar file already exists on disk\n            # if not tarFilename[0].isdigit() and os.path.isfile(tarFilename):\n            if os.path.isfile(tarFilename):\n                print (\"File already exists, skipping \", url)\n                continue\n            print(\"Downloading \", url)\n            response = requests.get(url, stream=True)\n            if response.status_code == 200:\n                with open(tarFilename, 'wb') as f:\n                    f.write(response.raw.read())\n            if tarFilename[0].isdigit():\n                save_folder = model_folder + \"/\" + model_name\n            else:\n                save_folder = model_folder\n            shutil.unpack_archive(tarFilename, save_folder)\n\n\n\nif __name__ == '__main__':\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"--url_file\", required=True, help=\"Json file with urls for downloading models\")\n    parser.add_argument(\"--model_folder\", default=\"test_models\", help=\"folder path for saving downloaded models\")\n    args, unknownargs = parser.parse_known_args()\n    download_all_url(args.url_file, \"test_models\")\n"
  },
  {
    "path": "Examples/converter_examples/Tested_Models/download_urls.json",
    "content": "{   \n    \"protobuf_checkpoint\":{\n      \"densenet\": \"https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/densenet_2018_04_27.tgz\",\n      \"squeezenet\": \"https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/squeezenet_2018_04_27.tgz\",\n      \"nasnet_mobile\": \"https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/nasnet_mobile_2018_04_27.tgz\",\n      \"inception_v3\": \"https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v3_2018_04_27.tgz\",\n      \"mobilenet_v1_0.25_224\": \"https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.25_224.tgz\",\n      \"ssd_mobilenet_v1\": \"http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2018_01_28.tar.gz\",\n      \"ssd_mobilenet_v2\": \"http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v2_coco_2018_03_29.tar.gz\"\n    },\n\n    \"savedmodel\":{\n      \"resnet_50_TF2\": \"https://storage.googleapis.com/tfhub-modules/tensorflow/resnet_50/classification/1.tar.gz\",\n      \"efficientnet_b1_TF2\": \"https://storage.googleapis.com/tfhub-modules/tensorflow/efficientnet/b1/feature-vector/1.tar.gz\"\n    }\n\n\n}"
  },
  {
    "path": "Examples/converter_examples/dlconvert_requirements.txt",
    "content": "keras2onnx==1.7.0\ntf2onnx\npytest\npytest-cov\ntorch\npytorch2keras"
  },
  {
    "path": "Examples/decorator_example/origin.py",
    "content": "#----------------------------------\ndef func(hyperparameter):\n    return 'training results'\n\n\n\n\n\n\n\n\n#----------------------------------\nimport tensorflow as tf\nFLAGS = tf.app.flags.FLAGS\n# some arguments defined in flags\n\ndef main(unused):\n    return \"training results\"\n\nif __name__ == \"__main__\":\n    tf.app.run()\n    \n    \n\n\n#----------------------------------\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
  },
  {
    "path": "Examples/decorator_example/use_decorator.py",
    "content": "#----------------------------------\n#!/usr/bin/env python\nimport sys\nfrom aup import aup_args\n\n@aup_args\ndef func(hyperparameter):\n    return 'training results'\n\nif __name__ == \"__main__\":\n    func(sys.argv[1])\n#----------------------------------\n#!/usr/bin/env python\nimport tensorflow as tf\nfrom aup import aup_flags\n\nFLAGS = tf.app.flags.FLAGS\n# some arguments defined in flags\n\n@aup_flags(FLAGS)\ndef main():\n    return \"training results\"\n\nif __name__ == \"__main__\":\n    tf.app.run()\n#----------------------------------\n\n\n\n\n"
  },
  {
    "path": "Examples/demo/.gitignore",
    "content": "env_template.ini\nhpo.py\n.aup/\nexperiment.json\n"
  },
  {
    "path": "Examples/demo/demo.yml",
    "content": "# The configurations that used for the recording, feel free to edit them\nconfig:\n\n  # Specify a command to be executed\n  # like `/bin/bash -l`, `ls`, or any other commands\n  # the default is bash for Linux\n  # or powershell.exe for Windows\n  command: bash -l\n  \n  # Specify the current working directory path\n  # the default is the current working directory path\n  cwd: ./Examples/demo\n  \n  # Export additional ENV variables\n  env:\n    recording: true\n  \n  # Explicitly set the number of columns\n  # or use `auto` to take the current\n  # number of columns of your shell\n  cols: 105\n  \n  # Explicitly set the number of rows\n  # or use `auto` to take the current\n  # number of rows of your shell\n  rows: 24\n  \n  # Amount of times to repeat GIF\n  # If value is -1, play once\n  # If value is 0, loop indefinitely\n  # If value is a positive number, loop n times\n  repeat: 0\n  \n  # Quality\n  # 1 - 100\n  quality: 80\n  \n  # Delay between frames in ms\n  # If the value is `auto` use the actual recording delays\n  frameDelay: auto\n  \n  # Maximum delay between frames in ms\n  # Ignored if the `frameDelay` isn't set to `auto`\n  # Set to `auto` to prevent limiting the max idle time\n  maxIdleTime: 2000\n  \n  # The surrounding frame box\n  # The `type` can be null, window, floating, or solid`\n  # To hide the title use the value null\n  # Don't forget to add a backgroundColor style with a null as type\n  frameBox:\n    type: solid\n    title: LGE-ARC-AdvancedAI/auptimizer\n    style:\n      border: 0px black solid\n      # boxShadow: none\n      # margin: 0px\n  \n  # Add a watermark image to the rendered gif\n  # You need to specify an absolute path for\n  # the image on your machine or a URL, and you can also\n  # add your own CSS styles\n  watermark:\n    imagePath: /Users/jason.liu/.terminalizer/SVL-aai.png\n    style:\n      position: absolute\n      right: 15px\n      bottom: 15px\n      width: 100px\n      opacity: 0.9\n  \n  # Cursor style can be one of\n  # `block`, `underline`, or `bar`\n  cursorStyle: block\n  \n  # Font family\n  # You can use any font that is installed on your machine\n  # in CSS-like syntax\n  fontFamily: \"Monaco, Lucida Console, Ubuntu Mono, Monospace\"\n  \n  # The size of the font\n  fontSize: 24\n  \n  # The height of lines\n  lineHeight: 1\n  \n  # The spacing between letters\n  letterSpacing: 0\n  \n  # Theme\n  theme:\n    background: \"transparent\"\n    foreground: \"#afafaf\"\n    cursor: \"#c7c7c7\"\n    black: \"#232628\"\n    red: \"#fc4384\"\n    green: \"#b3e33b\"\n    yellow: \"#ffa727\"\n    blue: \"#75dff2\"\n    magenta: \"#ae89fe\"\n    cyan: \"#708387\"\n    white: \"#d5d5d0\"\n    brightBlack: \"#626566\"\n    brightRed: \"#ff7fac\"\n    brightGreen: \"#c8ed71\"\n    brightYellow: \"#ebdf86\"\n    brightBlue: \"#75dff2\"\n    brightMagenta: \"#ae89fe\"\n    brightCyan: \"#b1c6ca\"\n    brightWhite: \"#f9f9f4\"\n  \n# Records, feel free to edit them\nrecords:\n  - delay: 476\n    content: \"\\e[H\\e[2J\"\n  - delay: 10\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]1337;ShellIntegrationVersion=13;shell=bash\\a\"\n  - delay: 12\n    content: \"\\e]133;C;\\a\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 1093\n    content: l\n  - delay: 96\n    content: s\n  - delay: 232\n    content: \"\\r\\n\"\n  - delay: 13\n    content: \"\\e]133;C;\\a\\e[34m.\\e[m\\e[m         \\e[34m..\\e[m\\e[m        origin.py\\r\\n\"\n  - delay: 5\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 1112\n    content: p\n  - delay: 152\n    content: 'y'\n  - delay: 48\n    content: t\n  - delay: 144\n    content: h\n  - delay: 57\n    content: o\n  - delay: 128\n    content: 'n'\n  - delay: 135\n    content: ' '\n  - delay: 112\n    content: '-'\n  - delay: 200\n    content: m\n  - delay: 103\n    content: ' '\n  - delay: 162\n    content: a\n  - delay: 87\n    content: u\n  - delay: 89\n    content: p\n  - delay: 304\n    content: .\n  - delay: 191\n    content: s\n  - delay: 65\n    content: e\n  - delay: 111\n    content: t\n  - delay: 137\n    content: u\n  - delay: 64\n    content: p\n  - delay: 439\n    content: \"\\r\\n\"\n  - delay: 15\n    content: \"\\e]133;C;\\a\"\n  - delay: 130\n    content: \"\\e[1;30mINFO\\e[0m - Using default user jason.liu\\r\\nEnvironment file, or hit ENTER to fill in details:\"\n  - delay: 703\n    content: \"\\r\\nAuptimizer Environment path - Auptimizer_PATH (.aup):\"\n  - delay: 296\n    content: \"\\r\\nAuptimizer Temp folder - TMP_FOLDER (/tmp/auptmp):\"\n  - delay: 233\n    content: \"\\r\\nNumber of CPUs (4):\"\n  - delay: 207\n    content: \"\\r\\nGPU template file or comma-separated IDs (none):\"\n  - delay: 200\n    content: \"\\r\\nNode template file (none) or comma-separated nodes (user@ip:[port] [keyfile]):\"\n  - delay: 216\n    content: \"\\r\\nAWS template file (none) or comma-separated nodes (user@ip):[port] [keyfile])\"\n  - delay: 416\n    content: \"\\r\\nUsername (jason.liu):\"\n  - delay: 431\n    content: \"\\r\\nOverwrite (y/N)\"\n  - delay: 423\n    content: \"\\r\\n\\e[1;30mINFO\\e[0m - Write env.ini to .aup/env.ini\\r\\n\"\n  - delay: 138\n    content: \"\\e[32m2019-07-25 14:33:46\\e[0m - \\e[34maup.setupdb.sqlite\\e[0m - \\e[1;30mINFO\\e[0m - SQLite3 Database is created at .aup/sqlite3.db\\r\\n\"\n  - delay: 11\n    content: \"\\e[1;30mINFO\\e[0m - Following commands have finished automatically\\r\\n/usr/local/opt/python/bin/python3.7 -m aup.setupdb.sqlite .aup/env.ini --user jason.liu --cpu 4 --log info\\r\\n\"\n  - delay: 20\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 1316\n    content: l\n  - delay: 120\n    content: s\n  - delay: 144\n    content: ' '\n  - delay: 472\n    content: .\n  - delay: 207\n    content: a\n  - delay: 104\n    content: u\n  - delay: 104\n    content: p\n  - delay: 256\n    content: \"\\r\\n\"\n  - delay: 14\n    content: \"\\e]133;C;\\a\\e[34m.\\e[m\\e[m          \\e[34m..\\e[m\\e[m         env.ini    sqlite3.db\\r\\n\"\n  - delay: 5\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 248\n    content: m\n  - delay: 88\n    content: o\n  - delay: 79\n    content: r\n  - delay: 65\n    content: e\n  - delay: 81\n    content: ' '\n  - delay: 191\n    content: .\n  - delay: 201\n    content: a\n  - delay: 103\n    content: u\n  - delay: 88\n    content: p\n  - delay: 264\n    content: /\n  - delay: 198\n    content: e\n  - delay: 74\n    content: 'n'\n  - delay: 217\n    content: 'v.ini '\n  - delay: 184\n    content: \"\\r\\n\"\n  - delay: 17\n    content: \"\\e]133;C;\\a\\e[?1h\\e=\\r[Auptimizer]\\r\\nAuptimizer_PATH = .aup\\r\\nTMP_FOLDER = /tmp/auptmp\\r\\nSQL_ENGINE = sqlite\\r\\nSQLITE_FILE = .aup/sqlite3.db\\r\\n\\r\\n\\e[7m.aup/env.ini (END)\\e[m\\e[K\"\n  - delay: 826\n    content: \"\\r\\e[K\\e[?1l\\e>\"\n  - delay: 5\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 977\n    content: p\n  - delay: 185\n    content: 'y'\n  - delay: 71\n    content: t\n  - delay: 136\n    content: h\n  - delay: 48\n    content: o\n  - delay: 144\n    content: 'n'\n  - delay: 136\n    content: ' '\n  - delay: 200\n    content: '-'\n  - delay: 457\n    content: m\n  - delay: 126\n    content: ' '\n  - delay: 1089\n    content: a\n  - delay: 120\n    content: u\n  - delay: 89\n    content: p\n  - delay: 304\n    content: .\n  - delay: 350\n    content: i\n  - delay: 177\n    content: 'n'\n  - delay: 130\n    content: i\n  - delay: 230\n    content: t\n  - delay: 433\n    content: \"\\r\\n\"\n  - delay: 13\n    content: \"\\e]133;C;\\a\"\n  - delay: 122\n    content: \"\\e[34maup.utils\\e[0m - \\e[1;30mINFO\\e[0m - Auptimizer environment at .aup\\r\\n\"\n  - delay: 6\n    content: \"\\e[34maup.utils\\e[0m - \\e[1;30mINFO\\e[0m - Use default connector at .aup/sqlite3.db\\r\\nscript name []:\"\n  - delay: 626\n    content: h\n  - delay: 96\n    content: p\n  - delay: 88\n    content: o\n  - delay: 264\n    content: .\n  - delay: 192\n    content: p\n  - delay: 144\n    content: 'y'\n  - delay: 296\n    content: \"\\r\\ncomputing resource for experiment [cpu]:\"\n  - delay: 1128\n    content: \"\\r\\nNumber of parallel execution on cpu, up to 4 [1]:\"\n  - delay: 1159\n    content: '2'\n  - delay: 191\n    content: \"\\r\\nmax/min the score [max]:\"\n  - delay: 1361\n    content: m\n  - delay: 120\n    content: i\n  - delay: 193\n    content: 'n'\n  - delay: 591\n    content: \"\\r\\nworking path, [default:./Examples/demo]:\"\n  - delay: 823\n    content: \"\\r\\nproposer [random]:\"\n  - delay: 1385\n    content: \"\\r\\n\"\n  - delay: 113\n    content: 'number of jobs [1]:'\n  - delay: 1862\n    content: '1'\n  - delay: 224\n    content: '0'\n  - delay: 208\n    content: \"\\r\\nrandom seed [0]\"\n  - delay: 927\n    content: \"\\r\\nstart adding hyperparameters, use 'stop' for variable name or ctrl+c to exit\\r\\nname:\"\n  - delay: 1022\n    content: x\n  - delay: 273\n    content: \"\\r\\nrange (separated by ,):\"\n  - delay: 1512\n    content: '0'\n  - delay: 280\n    content: ','\n  - delay: 752\n    content: '5'\n  - delay: 225\n    content: \"\\r\\ntype: [choice]:\"\n  - delay: 1263\n    content: f\n  - delay: 144\n    content: l\n  - delay: 168\n    content: o\n  - delay: 64\n    content: a\n  - delay: 104\n    content: t\n  - delay: 80\n    content: \"\\r\\nname:\"\n  - delay: 358\n    content: s\n  - delay: 113\n    content: t\n  - delay: 112\n    content: o\n  - delay: 584\n    content: p\n  - delay: 288\n    content: \"\\r\\n\\e[34maup.init\\e[0m - \\e[1;30mINFO\\e[0m - Write experiment config to experiment.json\\r\\n\"\n  - delay: 28\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 602\n    content: m\n  - delay: 64\n    content: o\n  - delay: 49\n    content: r\n  - delay: 71\n    content: e\n  - delay: 113\n    content: ' '\n  - delay: 2554\n    content: \"\\r\\n.aup/            experiment.json  origin.py        \\r\\n\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\amore \"\n  - delay: 168\n    content: \"\\r\\n.aup/            experiment.json  origin.py        \\r\\n\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\amore \"\n  - delay: 864\n    content: o\n  - delay: 303\n    content: r\n  - delay: 105\n    content: i\n  - delay: 136\n    content: 'gin.py '\n  - delay: 199\n    content: \"\\r\\n\"\n  - delay: 13\n    content: \"\\e]133;C;\\a\\e[?1h\\e=\\r# Demonstration code for 1D function, centered around a=1\\r\\nfrom time import sleep\\r\\n\\r\\n\\r\\ndef demo_func(x, a=1, b=0):\\r\\n    sleep(1)\\r\\n    return (x-a)*(x-a)+b\\r\\n\\r\\n\\e[7morigin.py (END)\\e[m\\e[K\"\n  - delay: 1609\n    content: \"\\r\\e[K\\e[?1l\\e>\"\n  - delay: 5\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 2168\n    content: p\n  - delay: 241\n    content: 'y'\n  - delay: 183\n    content: t\n  - delay: 56\n    content: h\n  - delay: 103\n    content: o\n  - delay: 184\n    content: 'n'\n  - delay: 688\n    content: ' '\n  - delay: 136\n    content: '-'\n  - delay: 257\n    content: m\n  - delay: 151\n    content: ' '\n  - delay: 760\n    content: a\n  - delay: 128\n    content: u\n  - delay: 104\n    content: p\n  - delay: 329\n    content: .\n  - delay: 193\n    content: c\n  - delay: 55\n    content: o\n  - delay: 113\n    content: 'n'\n  - delay: 55\n    content: v\n  - delay: 217\n    content: e\n  - delay: 79\n    content: r\n  - delay: 168\n    content: t\n  - delay: 129\n    content: ' '\n  - delay: 656\n    content: o\n  - delay: 208\n    content: r\n  - delay: 111\n    content: i\n  - delay: 136\n    content: g\n  - delay: 88\n    content: i\n  - delay: 47\n    content: 'n'\n  - delay: 273\n    content: .\n  - delay: 208\n    content: 'py '\n  - delay: 568\n    content: e\n  - delay: 247\n    content: x\n  - delay: 120\n    content: p\n  - delay: 128\n    content: e\n  - delay: 97\n    content: r\n  - delay: 176\n    content: 'iment.json '\n  - delay: 663\n    content: d\n  - delay: 329\n    content: e\n  - delay: 415\n    content: m\n  - delay: 96\n    content: o\n  - delay: 255\n    content: _\n  - delay: 219\n    content: f\n  - delay: 87\n    content: u\n  - delay: 199\n    content: 'n'\n  - delay: 112\n    content: c\n  - delay: 457\n    content: \"\\r\\n\"\n  - delay: 14\n    content: \"\\e]133;C;\\a\"\n  - delay: 106\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 669\n    content: l\n  - delay: 80\n    content: s\n  - delay: 120\n    content: \"\\r\\n\"\n  - delay: 14\n    content: \"\\e]133;C;\\a\\e[34m.\\e[m\\e[m               \\e[34m..\\e[m\\e[m              \\e[34m.aup\\e[m\\e[m            experiment.json \\e[31mhpo.py\\e[m\\e[m          origin.py\\r\\n\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 497\n    content: m\n  - delay: 79\n    content: o\n  - delay: 32\n    content: r\n  - delay: 89\n    content: e\n  - delay: 95\n    content: ' '\n  - delay: 280\n    content: h\n  - delay: 96\n    content: p\n  - delay: 64\n    content: o\n  - delay: 281\n    content: .\n  - delay: 184\n    content: p\n  - delay: 111\n    content: 'y'\n  - delay: 248\n    content: \"\\r\\n\"\n  - delay: 13\n    content: \"\\e]133;C;\\a\\e[?1h\\e=\\r#!/usr/bin/env python\\r\\n# Demonstration code for 1D function, centered around a=1\\r\\nfrom time import sleep\\r\\n\\r\\n\\r\\ndef demo_func(x, a=1, b=0):\\r\\n    sleep(1)\\r\\n    return (x-a)*(x-a)+b\\r\\n\\r\\n\\r\\ndef aup_wrapper(config):\\r\\n    res = demo_func(x=config['x']) \\r\\n    print_result(res)\\r\\n\\r\\nif __name__ == \\\"__main__\\\":\\r\\n    import sys\\r\\n    from aup import BasicConfig, print_result\\r\\n    if len(sys.argv) != 2:\\r\\n        print(\\\"config file required\\\")\\r\\n        exit(1)\\r\\n    config = BasicConfig().load(sys.argv[1])\\r\\n    aup_wrapper(config)\\r\\n\\e[7mhpo.py (END)\\e[m\\e[K\"\n  - delay: 2905\n    content: \"\\r\\e[K\\e[?1l\\e>\"\n  - delay: 5\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 808\n    content: p\n  - delay: 160\n    content: 'y'\n  - delay: 96\n    content: t\n  - delay: 120\n    content: h\n  - delay: 72\n    content: o\n  - delay: 136\n    content: 'n'\n  - delay: 127\n    content: ' '\n  - delay: 129\n    content: '-'\n  - delay: 215\n    content: m\n  - delay: 129\n    content: ' '\n  - delay: 327\n    content: a\n  - delay: 113\n    content: u\n  - delay: 103\n    content: p\n  - delay: 265\n    content: .\n  - delay: 1072\n    content: \"\\b\\e[K\"\n  - delay: 96\n    content: ' '\n  - delay: 1023\n    content: e\n  - delay: 216\n    content: x\n  - delay: 105\n    content: p\n  - delay: 127\n    content: e\n  - delay: 120\n    content: r\n  - delay: 152\n    content: i\n  - delay: 129\n    content: 'ment.json '\n  - delay: 816\n    content: \"\\r\\n\"\n  - delay: 21\n    content: \"\\e]133;C;\\a\"\n  - delay: 120\n    content: \"\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34mroot\\e[0m - \\e[1;30mINFO\\e[0m - Using default user jason.liu\\r\\n\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34maup.utils\\e[0m - \\e[1;30mINFO\\e[0m - Auptimizer environment at .aup\\r\\n\"\n  - delay: 5\n    content: \"\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34maup.utils\\e[0m - \\e[1;30mINFO\\e[0m - Use default connector at .aup/sqlite3.db\\r\\n\"\n  - delay: 75\n    content: \"\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Experiment 1 is created\\r\\n\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34maup\\e[0m - \\e[1;30mINFO\\e[0m - # Running Experiment\\r\\n\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34maup.EE.Job\\e[0m - \\e[1;30mWARNING\\e[0m - \\e[33mUsing default local path for script as ./hpo.py\\e[0m\\r\\n\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 1 with resource 2 in experiment 1\\r\\n\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34maup.EE.Job\\e[0m - \\e[1;30mWARNING\\e[0m - \\e[33mCreate missing directory ./Examples/demo/jobs\\e[0m\\r\\n\"\n  - delay: 5\n    content: \"\\e[32m2019-07-25 14:34:52\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 2 with resource 1 in experiment 1\\r\\n\"\n  - delay: 1090\n    content: \"\\e[32m2019-07-25 14:34:54\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 1 is finished with result 3.041771513051445\\r\\n\\e[32m2019-07-25 14:34:54\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 3 with resource 3 in experiment 1\\r\\n\\e[32m2019-07-25 14:34:54\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 2 is finished with result 6.635502080580377\\r\\n\\e[32m2019-07-25 14:34:54\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 4 with resource 4 in experiment 1\\r\\n\"\n  - delay: 1100\n    content: \"\\e[32m2019-07-25 14:34:55\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 3 is finished with result 4.0554584276157115\\r\\n\\e[32m2019-07-25 14:34:55\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 5 with resource 2 in experiment 1\\r\\n\"\n  - delay: 5\n    content: \"\\e[32m2019-07-25 14:34:55\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 4 is finished with result 2.973610247851776\\r\\n\\e[32m2019-07-25 14:34:55\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 6 with resource 1 in experiment 1\\r\\n\"\n  - delay: 1100\n    content: \"\\e[32m2019-07-25 14:34:56\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 5 is finished with result 1.2505367316831435\\r\\n\\e[32m2019-07-25 14:34:56\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 7 with resource 4 in experiment 1\\r\\n\\e[32m2019-07-25 14:34:56\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 6 is finished with result 4.970539001687499\\r\\n\\e[32m2019-07-25 14:34:56\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 8 with resource 3 in experiment 1\\r\\n\"\n  - delay: 1103\n    content: \"\\e[32m2019-07-25 14:34:57\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 7 is finished with result 1.4111920738895818\\r\\n\\e[32m2019-07-25 14:34:57\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 9 with resource 1 in experiment 1\\r\\n\\e[32m2019-07-25 14:34:57\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 8 is finished with result 11.963747115276082\\r\\n\\e[32m2019-07-25 14:34:57\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Submitting job 10 with resource 4 in experiment 1\\r\\n\"\n  - delay: 1101\n    content: \"\\e[32m2019-07-25 14:34:58\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 9 is finished with result 14.579520294401313\\r\\n\\e[32m2019-07-25 14:34:58\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Job 10 is finished with result 0.8412697707277041\\r\\n\"\n  - delay: 488\n    content: \"\\e[32m2019-07-25 14:34:58\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mINFO\\e[0m - Finished\\r\\n\\e[32m2019-07-25 14:34:58\\e[0m - \\e[34maup.EE.Experiment\\e[0m - \\e[1;30mCRITICAL\\e[0m - \\e[1;31mBest job (10) with score 0.841270 in experiment 1\\e[0m\\r\\n\"\n  - delay: 37\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n  - delay: 2077\n    content: l\n  - delay: 88\n    content: s\n  - delay: 145\n    content: ' '\n  - delay: 167\n    content: j\n  - delay: 72\n    content: o\n  - delay: 96\n    content: b\n  - delay: 169\n    content: s\n  - delay: 135\n    content: \"\\r\\n\"\n  - delay: 13\n    content: \"\\e]133;C;\\a\\e[34m.\\e[m\\e[m       1.json  10.json 2.json  3.json  4.json  5.json  6.json  7.json  8.json  9.json\\r\\n\\e[34m..\\e[m\\e[m      1.out   10.out  2.out   3.out   4.out   5.out   6.out   7.out   8.out   9.out\\r\\n\"\n  - delay: 5\n    content: \"\\e]1337;RemoteHost=local\\a\\e]1337;CurrentDir=./Examples/demo\\a\\e]133;D;0\\a\\e]133;A\\a\\e[0;35m>demo$> \\e[0m\\e]133;B\\a\"\n"
  },
  {
    "path": "Examples/demo/experiment_wrapper.json",
    "content": "{\n  \"name\": \"./demo/experiment_wrapper.json\",\n  \"script\": \"hpo_wrapper.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\": \"min\",\n  \"workingdir\": \"./\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 0,\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/demo/hpo_wrapper.py",
    "content": "#!/usr/bin/env python\n# Demonstration code for 1D function, centered around a=1\nfrom time import sleep\nfrom aup import aup_args\nimport sys\n\n@aup_args\ndef demo_func(x, a=1, b=0):\n    sleep(1)\n    return (x-a)*(x-a)+b\n\n\nif __name__ == \"__main__\":\n    demo_func(sys.argv[1])\n"
  },
  {
    "path": "Examples/demo/origin.py",
    "content": "# Demonstration code for 1D function, centered around a=1\nfrom time import sleep\n\n\ndef demo_func(x, a=1, b=0):\n    sleep(1)\n    return (x-a)*(x-a)+b\n\n"
  },
  {
    "path": "Examples/early_stopping/README.md",
    "content": "# Early stopping of jobs\n\n## Usage\n\nIn order to use early stopping to accelerate the HPO experiment,\nwe need to add the following lines in the JSON configuration file:\n\n    \"resource_args\": \n        {\n            \"early_stop\":\n                {\n                    \"aup_policy\": \"X\",\n                    \"aup_policy_steps\": Y\n                    ...\n                }\n        }\n\nX can be bandit, median, truncation or curve_fitting.\nY refers to the interval of epochs/iterations by which the ES policy is applied.\n\nIn order to report intermediate results, \"aup.print_result\" should be called from the user script; e.g. at the end of an epoch, at the end of N iterations, etc.\n\nExamples can be found at Examples/early_stopping/quad_equation_min and Examples/early_stopping/mnist_keras.\n\nAn additional parameter of \"warmup\" can also be used for all ES strategies (default is 0). \"warmup\" defines the number of initial iterations that should finish without an early stopping criterion.\n\n\n## Strategies\n\nWe provide 4 strategies for early stopping: bandit, truncation, median and curve fitting. Please checkout [early stopping document](https://lge-arc-advancedai.github.io/auptimizer/early_stop.html) for detailed usages.\n\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/cpu.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=./.aup\n# Temp folder\nTMP_FOLDER=./aup_tmp\n# SQL engine\nSQL_ENGINE=sqlite\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_BOHB_bandit.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_BOHB_bandit.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_iterations\": 50,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"bandit\",\n          \"aup_policy_steps\": 10,\n          \"bandit_factor\": 0.5\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_BOHB_curve_fitting.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_BOHB_curve_fitting.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_iterations\": 50,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"curve_fitting\",\n          \"aup_policy_steps\": 10,\n          \"curve_fitting_max_iters\": 235,\n          \"curve_fitting_threshold\": 0.95,\n          \"curve_fitting_timeout\": 60\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_BOHB_median.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_BOHB_median.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_iterations\": 50,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"median\",\n          \"aup_policy_steps\": 10\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_BOHB_trunc.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_BOHB_trunc.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_iterations\": 50,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"truncation\",\n          \"aup_policy_steps\": 10,\n          \"truncation_percentage\": 0.3\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_random_bandit.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_random_bandit.json\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 50,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"bandit\",\n          \"aup_policy_steps\": 10,\n          \"bandit_factor\": 0.5\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_random_curve_fitting.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_random_curve_fitting.json\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 50,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"curve_fitting\",\n          \"aup_policy_steps\": 10,\n          \"curve_fitting_max_iters\": 235,\n          \"curve_fitting_threshold\": 0.95,\n          \"curve_fitting_timeout\": 60\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_random_median.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_random_median.json\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 50,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"median\",\n          \"aup_policy_steps\": 10\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_random_trunc.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_random_trunc.json\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 50,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"truncation\",\n          \"aup_policy_steps\": 10,\n          \"truncation_percentage\": 0.3\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_spearmint_bandit.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_spearmint_bandit.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"engine\":\"GPEIChooser\",\n  \"n_samples\": 50,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"bandit\",\n          \"aup_policy_steps\": 10,\n          \"bandit_factor\": 0.5\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_spearmint_curve_fitting.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_spearmint_curve_fitting.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"engine\":\"GPEIChooser\",\n  \"n_samples\": 50,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"curve_fitting\",\n          \"aup_policy_steps\": 10,\n          \"curve_fitting_max_iters\": 235,\n          \"curve_fitting_threshold\": 0.95,\n          \"curve_fitting_timeout\": 60\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_spearmint_median.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_spearmint_median.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"engine\":\"GPEIChooser\",\n  \"n_samples\": 50,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"median\",\n          \"aup_policy_steps\": 10\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/exp_spearmint_trunc.json",
    "content": "{\n  \"name\": \"./early_stopping/mnist_keras/exp_spearmint_trunc.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"engine\":\"GPEIChooser\",\n  \"n_samples\": 50,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"truncation\",\n          \"aup_policy_steps\": 10,\n          \"truncation_percentage\": 0.3\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/mnist_keras/mnist.py",
    "content": "#!/usr/bin/env python3\n\n\"\"\"\nMNIST convolutional network using Keras\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport aup\n\nimport tensorflow as tf\nimport numpy as np\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\n\nfrom math import log\n\nimport sys\n\nnum_epochs = 5\nbatch_size = 64\nnum_classes = 10\ninput_shape = (28, 28, 1)\n\n# Load example MNIST data and pre-process it\n# the data, split between train and test sets\n(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n\n# Scale images to the [0, 1] range\nx_train = x_train.astype(\"float32\") / 255\nx_test = x_test.astype(\"float32\") / 255\n# Make sure images have shape (28, 28, 1)\nx_train = np.expand_dims(x_train, -1)\nx_test = np.expand_dims(x_test, -1)\n\n# convert class vectors to binary class matrices\ny_train = keras.utils.to_categorical(y_train, num_classes)\ny_test = keras.utils.to_categorical(y_test, num_classes)\n\ndef get_flops():\n    run_meta = tf.RunMetadata()\n    opts = tf.profiler.ProfileOptionBuilder.float_operation()\n\n    # We use the Keras session graph in the call to the profiler.\n    flops = tf.profiler.profile(graph=keras.backend.get_session().graph,\n                                run_meta=run_meta, cmd='op', options=opts)\n\n    return flops.total_float_ops  # Prints the \"flops\" of the model.\n  \ndef get_model(**kwargs):\n    model = keras.Sequential(\n      [\n          keras.Input(shape=input_shape),\n          layers.Conv2D(kwargs['conv1'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Conv2D(kwargs['conv2'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Flatten(),\n          layers.Dropout(kwargs['dropout']),\n          layers.Dense(num_classes, activation=\"softmax\"),\n      ]\n    )\n\n    model.compile(loss=\"categorical_crossentropy\",\n                optimizer=keras.optimizers.Adam(learning_rate=kwargs['learning_rate']),\n                metrics=[\"accuracy\"])\n\n    return model\n\nclass CustomCallback(keras.callbacks.Callback):\n    flops = None\n\n    def on_train_batch_end(self, batch, logs=None):\n      if batch % 10 == 0:\n        val_acc = logs[\"acc\"]\n        aup.print_result((val_acc-1.0) / (log(self.flops)))\n\n    def on_train_begin(self, logs=None):\n      self.flops = get_flops()\n\ndef init(**kwargs):\n  global model\n  model = get_model(**kwargs)\n\n@aup.aup_args\ndef do_train(learning_rate=0.001, dropout=0.1, conv1=32, conv2=64):\n  global model\n\n  model.fit(\n    x_train,\n    y_train,\n    batch_size=batch_size,\n    epochs=num_epochs,\n    verbose=1,\n    validation_split=0.5,\n    callbacks=[CustomCallback()],\n  )\n\n  res = model.evaluate(\n    x_test,\n    y_test,\n    batch_size=batch_size,\n    verbose=1,\n  )\n\n  flops = get_flops()\n\n  return (res[1]-1.0) / log(flops)\n\n\nif __name__ == '__main__':\n\n  if len(sys.argv) < 2:\n      print(\"config file required\")\n      exit(1)\n\n  do_train(sys.argv[1])\n\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/cpu.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=./.aup\n# Temp folder\nTMP_FOLDER=./aup_tmp\n# SQL engine\nSQL_ENGINE=sqlite\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function for HPO and aup\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport sys\n\nimport aup\nfrom time import sleep\n\ndef rosenbrock(x, a=2, b=4, c=5):\n    sleep(1)\n    \n    it = 1.0\n    for _ in range(10):\n        res = x*x*a + x*b + c\n        res += it\n        it -= 1.0 / 10\n        aup.print_result(res)\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = aup.BasicConfig().load(sys.argv[1])\n    rosenbrock(config['x'])\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_BOHB_bandit.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_BOHB_bandit.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_iterations\": 100,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"bandit\",\n          \"aup_policy_steps\": 1,\n          \"bandit_factor\": 0.5\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_BOHB_median.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_BOHB_median.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_iterations\": 100,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"median\",\n          \"aup_policy_steps\": 1\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_BOHB_trunc.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_BOHB_trunc.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_iterations\": 100,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"truncation\",\n          \"aup_policy_steps\": 1,\n          \"truncation_percentage\": 0.7\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_random_bandit.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_random_bandit.json\",\n  \"proposer\": \"random\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 200,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"bandit\",\n          \"aup_policy_steps\": 1,\n          \"bandit_factor\": 0.5\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_random_median.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_random_median.json\",\n  \"proposer\": \"random\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 200,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"median\",\n          \"aup_policy_steps\": 1\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_random_trunc.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_random_trunc.json\",\n  \"proposer\": \"random\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 200,\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"truncation\",\n          \"aup_policy_steps\": 1,\n          \"truncation_percentage\": 0.7\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_spearmint_bandit.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_spearmint_bandit.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 50,\n  \"engine\":\"GPEIChooser\",\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"bandit\",\n          \"aup_policy_steps\": 1,\n          \"bandit_factor\": 0.5\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_spearmint_median.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_spearmint_median.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 50,\n  \"engine\":\"GPEIChooser\",\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"median\",\n          \"aup_policy_steps\": 1\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/early_stopping/quad_equation_min/quad_min_spearmint_trunc.json",
    "content": "{\n  \"name\": \"./early_stopping/quad_equation_min/quad_min_spearmint_trunc.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 50,\n  \"engine\":\"GPEIChooser\",\n  \"resource_args\": \n    {\n      \"early_stop\":\n        {\n          \"aup_policy\": \"truncation\",\n          \"aup_policy_steps\": 1,\n          \"truncation_percentage\": 0.7\n        }\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/.gitignore",
    "content": "input_data/\n.aup/\n__pycache__/\nlogs/\n"
  },
  {
    "path": "Examples/hpo_mnist/MNIST Hyperparameter Optimization Demo.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# MNIST Hyperparameter Optimization Demo\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"The MNIST database of handwritten digits, available publicly, has a training set of 60,000 examples, and a test set of 10,000 examples. The digits have been size-normalized and centered in a fixed-size image.\\n\",\n    \"It is a good database for people who want to experiment on learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. For these reasons, MNIST is a very popular baseline dataset for AI researchers exploring effectiveness of their Neural Network architectures, hyperparameter tuning or optimization techniques.\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"In this tutorial we will show how to perform Hyperparameter Optimization on MNIST using LeNet (http://yann.lecun.com/exdb/lenet/), a basic and popular neural network.  \\n\",\n    \"We modify a public implementation (https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/convolutional_network.py\\n\",\n    \"), to find the best hyperparameter configuration for LeNet. We also demonstrate how to effectively switch between various HPO proposers such as Spearmint and Hyperband.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Running the Experiments \"\n   ]\n  },\n  {\n   \"attachments\": {},\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"We use the ‘mnist_hpo_demo.py’ file to accept hyperparameters from Auptimizer and run an Experiment. Since the values of the hyperparameters can widely swing the performance of the classification algorithm, finding an optimal configuration is very important. We define the range of hyperparameters for Auptimizer to consider in ‘exp_hpo_demo.json’. We choose the following hyperparameter ranges to optimize –\\n\",\n    \"\\n\",\n    \"1) Learning Rate: [ 0.001, 0.01 ]\\n\",\n    \"\\n\",\n    \"2) Dropout Probability: [ 0.0, 0.5 ]\\n\",\n    \"\\n\",\n    \"3) 1st layer Convolution filters: [ 20, 50 ]\\n\",\n    \"\\n\",\n    \"4) 2nd Layer Convolution filters: [ 40, 80 ]\\n\",\n    \"\\n\",\n    \"5) Fully Connected layer size: [ 700, 2000 ]\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"While we iterate over different Proposer algorithms.\\n\"\n   ]\n  },\n  {\n   \"attachments\": {},\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Each instance of 'mnist_hpo_demo.py' would accept an experiment configuration of hyperparameters, train the defined neural network, evaluate the network, and return the final performance statistics. The ‘exp_hpo_demo.json’ file contains code to perform HPO using AWS resources and consider 100 samples for each proposer. We can easily switch between proposers and see how they choose different configurations to optimize the final performance.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"To run the experiment use command- \\n\",\n    \"\\n\",\n    \"'python3 -m aup exp_hpo_demo.json' \\n\",\n    \"\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Analysis \"\n   ]\n  },\n  {\n   \"attachments\": {},\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"We next analyze the experiment results using the sqlite database for our experiments. The details for the experiment can be found inn the jobs profile, but here we aim to compare the proposers. Experiment 1 is performed using Grid Search, and Random, Spearmint, Hyperband, Hyperopt Proposers for Experiments 2,3,4 and 5 respectively.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"'''\\n\",\n    \"Connect to the Auptimizer database\\n\",\n    \"''' \\n\",\n    \"\\n\",\n    \"import sqlite3\\n\",\n    \"import time\\n\",\n    \"import datetime\\n\",\n    \"import random\\n\",\n    \"\\n\",\n    \"conn = sqlite3.connect('sqlite3.db')\\n\",\n    \"c = conn.cursor()\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"'''\\n\",\n    \"Function to compile and return details from a Auptimizer experiment. \\n\",\n    \"Takes experiment id as input, returns score, jobs ran for the experiments, and end time for each job.\\n\",\n    \"''' \\n\",\n    \"\\n\",\n    \"def graph_data(ex):\\n\",\n    \"    c.execute('SELECT score, jid, end_time FROM job WHERE eid = '+ str(ex))\\n\",\n    \"    data = c.fetchall()\\n\",\n    \"\\n\",\n    \"    jobs = []\\n\",\n    \"    score = []\\n\",\n    \"    times =[]\\n\",\n    \"    \\n\",\n    \"    for row in data:\\n\",\n    \"        times.append(row[2])\\n\",\n    \"        jobs.append(row[1])\\n\",\n    \"        score.append(row[0])\\n\",\n    \"\\n\",\n    \"    times = [a-min(times) for a in times] \\n\",\n    \"    jobs = [a-min(jobs) for a in jobs]\\n\",\n    \"    \\n\",\n    \"    print(score)\\n\",\n    \"    print(jobs)\\n\",\n    \"    \\n\",\n    \"    return (score, times, jobs)\\n\",\n    \"    \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[0.9895, 0.9893, 0.9677, 0.9602, 0.9852, 0.9886, 0.9685, 0.9698, 0.9899, 0.9908, 0.9738, 0.9701, 0.9911, 0.9899, 0.9699, 0.9699, 0.9875, 0.9907, 0.9672, 0.9697, 0.9892, 0.9901, 0.9597, 0.9636, 0.9898, 0.9914, 0.9755, 0.9628, 0.9914, 0.9892, 0.9693, 0.9737, 0.9904, 0.992, 0.9691, 0.9591, 0.9898, 0.9873, 0.9662, 0.9525, 0.9815, 0.9892, 0.9613, 0.951, 0.9905, 0.9892, 0.9722, 0.9591, 0.9876, 0.9922, 0.9446, 0.9528, 0.9883, 0.9898, 0.9641, 0.9619, 0.9905, 0.9893, 0.9697, 0.9629, 0.9891, 0.9908, 0.976, 0.954, 0.9911, 0.9892, 0.9598, 0.9606, 0.9878, 0.9883, 0.9621, 0.9584, 0.9871, 0.9901, 0.9663, 0.956, 0.9896, 0.9869, 0.9628, 0.9437, 0.9908, 0.9885, 0.9543, 0.9586, 0.9874, 0.9905, 0.9665, 0.9712, 0.9912, 0.9902, 0.9665, 0.9494, 0.9897, 0.9903, 0.9603, 0.9562, 0.9853, 0.9894, 0.9614, 0.9498, 0.9889, 0.9907, 0.9595, 0.9494, 0.9899, 0.9891, 0.9627, 0.9544]\\n\",\n      \"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107]\\n\",\n      \"[0.9619, 0.9742, 0.9828, 0.9662, 0.983, 0.9693, 0.9753, 0.9749, 0.9682, 0.9758, 0.9672, 0.9834, 0.9834, 0.9764, 0.9711, 0.9835, 0.9712, 0.9721, 0.973, 0.9769, 0.9898, 0.9687, 0.9678, 0.977, 0.9603, 0.9868, 0.9759, 0.9739, 0.9611, 0.9891, 0.9752, 0.9729, 0.978, 0.9828, 0.9913, 0.9774, 0.9657, 0.9671, 0.9667, 0.9791, 0.9742, 0.9649, 0.9812, 0.9289, 0.9847, 0.9828, 0.9875, 0.9572, 0.9715, 0.9867, 0.9771, 0.9885, 0.9789, 0.981, 0.9705, 0.9863, 0.9877, 0.9851, 0.9746, 0.9549, 0.9886, 0.9867, 0.9781, 0.964, 0.9679, 0.9641, 0.9631, 0.9904, 0.9864, 0.9709, 0.9701, 0.9602, 0.9897, 0.9878, 0.9747, 0.9912, 0.9648, 0.9821, 0.9842, 0.9841, 0.9709, 0.9722, 0.9774, 0.9819, 0.9698, 0.9647, 0.9802, 0.9668, 0.9766, 0.9811, 0.9837, 0.9871, 0.9708, 0.9727, 0.9826, 0.9768, 0.9554, 0.9612, 0.9824, 0.9801]\\n\",\n      \"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]\\n\",\n      \"[0.9886, 0.9869, 0.9802, 0.9821, 0.9686, 0.977, 0.9865, 0.9705, 0.9627, 0.9614, 0.9912, 0.986, 0.9685, 0.9595, 0.9877, 0.9904, 0.9897, 0.9575, 0.9849, 0.983, 0.9874, 0.9662, 0.9892, 0.9903, 0.9914, 0.9731, 0.9896, 0.9892, 0.9586, 0.9882, 0.9686, 0.9742, 0.9623, 0.9891, 0.9878, 0.9906, 0.9899, 0.9869, 0.9874, 0.9825, 0.9699, 0.9891, 0.9879, 0.9863, 0.9911, 0.9906, 0.9844, 0.9834, 0.9919, 0.9727, 0.9884, 0.9832, 0.9643, 0.9889, 0.964, 0.9888, 0.988, 0.9882, 0.9838, 0.9851, 0.9893, 0.9909, 0.9821, 0.9907, 0.9757, 0.9867, 0.9874, 0.97, 0.9908, 0.9892, 0.985, 0.9891, 0.9901, 0.988, 0.9886, 0.9837, 0.988, 0.9662, 0.9735, 0.9882, 0.9891, 0.9899, 0.9897, 0.9903, 0.9933, 0.9891, 0.9875, 0.9884, 0.9912, 0.9908, 0.9913, 0.9901, 0.9813, 0.9877, 0.9887, 0.9874, 0.9907, 0.9895, 0.9884, 0.987]\\n\",\n      \"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]\\n\",\n      \"[0.9865, 0.9888, 0.9604, 0.9827, 0.9897, 0.9713, 0.9831, 0.9824, 0.9876, 0.9786, 0.9817, 0.9782, 0.9631, 0.9725, 0.9708, 0.987, 0.9544, 0.9729, 0.9849, 0.9894, 0.9905, 0.9871, 0.9675, 0.952, 0.985, 0.9791, 0.9754, 0.9677, 0.969, 0.9712, 0.9767, 0.9719, 0.9631, 0.9851, 0.9787, 0.9724, 0.9738, 0.9822, 0.9435, 0.9738, 0.9748, 0.9775, 0.9859, 0.9863, 0.9764, 0.9736, 0.9759, 0.9724, 0.9857, 0.9821, 0.98, 0.9832, 0.9766, 0.9617, 0.9837, 0.9778, 0.9794, 0.9891, 0.9774, 0.9742, 0.9705, 0.9852, 0.9625, 0.9809, 0.9838, 0.9518, 0.9797, 0.9771, 0.973, 0.9747, 0.9849, 0.989, 0.9758, 0.9666, 0.9658, 0.9799, 0.9489, 0.9776, 0.9831, 0.9736, 0.9851, 0.9844, 0.9885, 0.9896, 0.9846, 0.9896, 0.9883, 0.9891, 0.9881, 0.9888, 0.9866, 0.9875, 0.9854, 0.9851, 0.9885, 0.9885, 0.9861, 0.9753, 0.9742, 0.9859, 0.9887, 0.9823, 0.9811, 0.9839, 0.9774, 0.9837, 0.9868, 0.9752, 0.9899, 0.9882, 0.9881, 0.9882, 0.9886, 0.987, 0.9887, 0.9871, 0.9884, 0.9911, 0.9901, 0.9852, 0.9878, 0.9788, 0.9701, 0.9858, 0.9871, 0.9871, 0.9834, 0.9845, 0.9725, 0.9873, 0.9851, 0.972, 0.9701, 0.986, 0.9645, 0.9909, 0.9878, 0.9883, 0.984, 0.9719, 0.9644, 0.9727, 0.9645]\\n\",\n      \"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142]\\n\",\n      \"[0.9682, 0.9748, 0.987, 0.9662, 0.9826, 0.9829, 0.9693, 0.9435, 0.9792, 0.9882, 0.9818, 0.9792, 0.9751, 0.9765, 0.9747, 0.9896, 0.9624, 0.9741, 0.9804, 0.975, 0.9903, 0.9875, 0.9865, 0.9876, 0.9858, 0.9898, 0.9875, 0.9865, 0.9814, 0.9873, 0.9876, 0.9867, 0.9857, 0.9557, 0.9832, 0.9846, 0.9835, 0.9823, 0.9764, 0.9761, 0.9642, 0.9882, 0.9911, 0.9677, 0.9826, 0.9866, 0.9754, 0.9852, 0.9815, 0.9902, 0.9678, 0.9712, 0.9862, 0.985, 0.9896, 0.9891, 0.9836, 0.9747, 0.9769, 0.9672, 0.9764, 0.9837, 0.988, 0.9845, 0.9831, 0.9907, 0.9913, 0.9883, 0.9905, 0.9845, 0.986, 0.9825, 0.9848, 0.9847, 0.9897, 0.9867, 0.9886, 0.9897, 0.9768, 0.9862, 0.9827, 0.9846, 0.9881, 0.9841, 0.9793, 0.9769, 0.9852, 0.9856, 0.9825, 0.9881, 0.9859, 0.9676, 0.9856, 0.9918, 0.9835, 0.9662, 0.9874, 0.9758, 0.9889, 0.9735]\\n\",\n      \"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"'''\\n\",\n    \"Compile results for grid search, random, spearmint, hyperband, hyperopt Proposers\\n\",\n    \"''' \\n\",\n    \"\\n\",\n    \"s_gri, t_gri, j_gri = graph_data(1)\\n\",\n    \"s_ran, t_ran, j_ran = graph_data(2)\\n\",\n    \"s_spe, t_spe, j_spe = graph_data(3)\\n\",\n    \"s_hpb, t_hpb, j_hpb = graph_data(4)\\n\",\n    \"s_opt, t_opt, j_opt = graph_data(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Visualization\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"We can easily visualize the performance of the hyperparameter optimization algorithms for our current experiment and how configurations can affect the final performance. In the plots below we compare job performance and time with accuracy achieved. \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 1440x1080 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"'''\\n\",\n    \"Plots for the experiment results\\n\",\n    \"'''\\n\",\n    \"\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"\\n\",\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"plt.plot(j_gri[:100], s_gri[:100])\\n\",\n    \"plt.plot(j_ran, s_ran)\\n\",\n    \"plt.plot(j_spe, s_spe)\\n\",\n    \"plt.plot(j_hpb[:100], s_hpb[:100])\\n\",\n    \"plt.plot(j_opt, s_opt)\\n\",\n    \"\\n\",\n    \"plt.legend(['y = grid','y = random', 'y = spearmint', 'y = hyperband', 'y = hyperopt'], loc='upper left')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using various proposers on MNIST')\\n\",\n    \"plt.xlabel('Jobs')\\n\",\n    \"plt.ylabel('Accuracy')\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 1440x1080 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"'''\\n\",\n    \"Plots for the experiment results\\n\",\n    \"'''\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"\\n\",\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"plt.plot(t_gri[:100], s_gri[:100])\\n\",\n    \"plt.plot(t_ran, s_ran)\\n\",\n    \"plt.plot(t_spe, s_spe)\\n\",\n    \"plt.plot(t_hpb[:100], s_hpb[:100])\\n\",\n    \"plt.plot(t_opt, s_opt)\\n\",\n    \"\\n\",\n    \"plt.legend(['y = grid','y = random', 'y = spearmint', 'y = hyperband', 'y = hyperopt'], loc='upper left')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using various proposers on MNIST')\\n\",\n    \"plt.xlabel('Time')\\n\",\n    \"plt.ylabel('Accuracy')\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 1440x1080 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"'''\\n\",\n    \"Plots for the experiment results\\n\",\n    \"'''\\n\",\n    \"\\n\",\n    \"def max_so_far(arr):\\n\",\n    \"    mmax=-1\\n\",\n    \"    new_arr=[]\\n\",\n    \"    for _,x in enumerate(arr):\\n\",\n    \"        if x>mmax:\\n\",\n    \"            mmax=x\\n\",\n    \"        new_arr.append(mmax)\\n\",\n    \"    return new_arr\\n\",\n    \"\\n\",\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"plt.plot(j_gri[:100], max_so_far(s_gri[:100]))\\n\",\n    \"plt.plot(j_ran, max_so_far(s_ran))\\n\",\n    \"plt.plot(j_spe, max_so_far(s_spe))\\n\",\n    \"plt.plot(j_hpb[:100], max_so_far(s_hpb[:100]))\\n\",\n    \"plt.plot(j_opt, max_so_far(s_opt))\\n\",\n    \"\\n\",\n    \"plt.legend(['y = grid','y = random', 'y = spearmint', 'y = hyperband', 'y = hyperopt'], loc='upper left')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using various proposers on MNIST')\\n\",\n    \"plt.xlabel('Jobs')\\n\",\n    \"plt.ylabel('Max Accuracy')\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.7.3\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/README.md",
    "content": "# HPO on MNIST data using Auptimizer\n\nThis folder contains demonstrating how to use Auptimizer for Hyperparameter Optimization on the MNIST dataset.\nThe original source code is from [Tensorflow Tutorial](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/tutorials/mnist).\nWe modified `mnist_with_summaries.py` to use **Auptimizer** for model tuning.\n\n**Tensorflow** package is needed for this demo.  \nUsing the CPU version will slow down the demonstration to more than 1 minute per job, but it should not be a limiting factor.\n\n## Changes\n\nWe need to parse the input for hyperparameter values.  So we add the following lines \nto parse the values original stored in `FLAGS`, which is commonly used in `Tensorflow`\nfor parameter sharing.\n\n\n    config = BasicConfig(**FLAGS.__dict__).load(sys.argv[1])\n    FLAGS.__dict__.update(config)\n    \n    # for hyperband only\n    if \"n_iterations\" in FLAGS:\n    FLAGS.max_steps = int(FLAGS.n_iterations)\n\n## Runtime\n\nFirst, we could test the script with a testing configuration `demo.json`:\n\n    python mnist_hpo.py demo.json\n    \nOnce the script runs smoothly, it will print\n\n    #Auptimizer:0.9592\n    \nAt the end of the run.\n\nNow it is the time to run **Auptimizer** for a large scale experiment.\nSet up the **Auptimizer**, if you haven't done that by `python -m aup.setup <aup config>`.\nThen run as `python -m aup <experiment.json>`\n\n\nThe following table lists the minor differences in the configuration of HPO algorithms.\n\n\n| Name | Comments |\n| ---- | -------- |\n| Random | `n_samples` specifies the total jobs to run |\n| Sequence | `n` or `interval` specifies the grid for each parameter |\n| Hyperband | `max_iter` specify the total iterations for training and `engine` specify the underneath proposer |\n| BOHB |  Uses many extra parameters. Refer to the documentation for details. |\n| Spearmint | None |\n| Hyperopt | None |\n\n## Analysis\n\n`MNIST Hyperparameter Optimization Demo.ipynb` presents detailed analysis of different HPO proposers under similar experimental settings for mnist.py. \n\n## Additional Examples - Running with AWS and Job failure capabilities.\n\nWe provide further examples to show the full array of Auptimizers capabilities to handle large scale HPO in an asynchronous cloud based distributed setting with job retry and experiment persistence capabilities.\n\n- `exp_aws_demo.json` : Demo experiment to run MNIST HPO using AWS instances. Ensure AWS instances are registered as resources and have the correct working directory.\n- `exp_aws_async.json` : Builds on the demo experiment, with a larger search space using asynchornous connections to AWS instances. Refer to the documentation for more details on async parameters.  \n- `exp_aws_retry_job.json` : Builds on the demo experiment, with a larger search space on AWS instances using job failure and experiment persistence capabilities. Refer to the documentation for more details on job failure parameters.\n\n\n\n"
  },
  {
    "path": "Examples/hpo_mnist/demo.json",
    "content": "{\n  \"name\": \"./hpo_mnist/demo.json\",\n  \"drop_out\":0.9,\n  \"learning_rate\":0.01\n}"
  },
  {
    "path": "Examples/hpo_mnist/exp_aws_async.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_hpo_demo.json\",\n  \"workingdir\": \"/home/ubuntu/aup/mnist_try/\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"runtime_args\": {\n    \"prescript\": \"source /home/ubuntu/.bashrc; source /home/ubuntu/.profile; source activate tensorflow_p36\",\n    \"postscript\": \"source deactivate\",\n    \"overwrite\" : true\n  },\n  \"resource_args\":{\n    \"shutdown\":false,\n    \"connection_retry\": 5,\n    \"async_run\":true,\n    \"async_reconnect\": 60,\n    \"async_timeout\":1000\n  },\n  \"resource\": \"aws\",\n  \"n_parallel\": 5,\n  \"target\":\"max\",\n  \"n_samples\":100,\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_aws_demo.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_aws.json\",\n  \"workingdir\": \"/home/ubuntu/aup/mnist_try/\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"runtime_args\": {\n    \"prescript\": \"source /home/ubuntu/.bashrc; source /home/ubuntu/.profile; source activate tensorflow_p36\",\n    \"postscript\": \"source deactivate\"\n  },\n  \"resource_args\":{\n    \"shutdown\":false,\n    \"connection_retry\": 5\n  },\n  \"resource\": \"aws\",\n  \"n_parallel\": 1,\n  \"target\":\"max\",\n  \"n_samples\":6,\n  \"parameter_config\": [\n    {\n      \"name\": \"drop_out\",\n      \"range\": [0.5, 0.9],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.01,\n        0.05,\n        0.001\n      ],\n      \"type\": \"choice\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_aws_retry_job.json",
    "content": "{\n  \"proposer\": \"random\",\n  \"script\": \"mnist_hpo_fail.py\",\n  \"workingdir\": \"/home/ubuntu/aup/mnist_try/\",\n  \"resource\": \"aws\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 100,\n  \"runtime_args\": {\n    \"prescript\": \"source /home/ubuntu/.bashrc; source /home/ubuntu/.profile; source activate tensorflow_p36\",\n    \"postscript\": \"source deactivate\",\n    \"overwrite\" : true\n  },\n  \"job_failure\": {\n    \"ignore_fail\": true,\n    \"job_retries\": 3\n  },\n  \"resource_args\":{\n    \"shutdown\":false,\n    \"connection_retry\": 5\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_bohb.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_bohb.json\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\": \"max\",\n  \"proposer\": \"bohb\",\n  \"n_iterations\": 16,\n  \"min_points_in_model\": \"\",\n  \"top_n_percent\": 15,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 10,\n  \"max_budget\": 100,\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_hyperband.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_hyperband.json\",\n  \"proposer\": \"hyperband\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"max_iter\": 243,\n  \"engine\": \"random\",\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_hyperopt.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_hyperopt.json\",\n  \"proposer\": \"hyperopt\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 100,\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_random.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_random.json\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 100,\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_random_async.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_random_async.json\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"workingdir\": \"/home/ubuntu/\",\n  \"resource\": \"aws\",\n  \"resource_args\":  {\n    \"async_run\": true,\n    \"async_reconnect\": 60\n  },\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 100,\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_sequence.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_sequence.json\",\n  \"proposer\": \"sequence\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\",\n      \"n\":3\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\",\n      \"n\":3\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\",\n      \"n\":3\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\",\n      \"n\":3\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\",\n      \"n\":3\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/exp_spearmint.json",
    "content": "{\n  \"name\": \"./hpo_mnist/exp_spearmint.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 100,\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/job_retries_random.json",
    "content": "{\n  \"name\": \"./hpo_mnist/job_retries_random.json\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist_hpo_demo.py\",\n  \"workingdir\": \"/home/ubuntu/\",\n  \"resource\": \"aws\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 100,\n  \"job_failure\": {\n    \"ignore_fail\": true,\n    \"job_retries\": 3\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"fc1\",\n      \"range\": [\n        700,\n        2000\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/hpo_mnist/mnist_hpo_demo.py",
    "content": "#!/usr/bin/env python3\n\n# Modified from https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/convolutional_network.py\n# The trained model is evaluated by a combination of accuracy and FLOP.\n#\n# Original License\n\"\"\"\nThe MIT License (MIT)\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\nAll contributions by Aymeric Damien:\nCopyright (c) 2015, Aymeric Damien.\nAll rights reserved.\n\nAll other contributions:\nCopyright (c) 2015, the respective contributors.\nAll rights reserved.\n\nEach contributor holds copyright over their respective contributions.\nThe project versioning (Git) records all such contribution source information.\n\"\"\"\n\n\nfrom __future__ import division, print_function, absolute_import\n\nimport argparse\nimport os\nimport sys\nfrom datetime import datetime\nfrom math import log\n\nimport tensorflow as tf\n# Import MNIST data\nfrom tensorflow.examples.tutorials.mnist import input_data\n\nfrom aup import BasicConfig, print_result\n\n# Training Parameters\nnum_steps = 2000\nbatch_size = 128\n\n# Network Parameters\nnum_input = 784 # MNIST data input (img shape: 28*28)\nnum_classes = 10 # MNIST total classes (0-9 digits)\n\n\n# Create the neural network\ndef conv_net(x_dict, n_classes, reuse, is_training):\n    # Define a scope for reusing the variables\n    with tf.variable_scope('ConvNet', reuse=reuse):\n        # TF Estimator input is a dict, in case of multiple inputs\n        x = x_dict['images']\n\n        # MNIST data input is a 1-D vector of 784 features (28*28 pixels)\n        # Reshape to match picture format [Height x Width x Channel]\n        # Tensor input become 4-D: [Batch Size, Height, Width, Channel]\n        x = tf.reshape(x, shape=[-1, 28, 28, 1])\n\n        # Convolution Layer with 32 filters and a kernel size of 5\n        conv1 = tf.layers.conv2d(x, FLAGS.conv1, 5, activation=tf.nn.relu)\n        # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n        conv1 = tf.layers.max_pooling2d(conv1, 2, 2)\n\n        # Convolution Layer with 64 filters and a kernel size of 3\n        conv2 = tf.layers.conv2d(conv1, FLAGS.conv2, 3, activation=tf.nn.relu)\n        # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n        conv2 = tf.layers.max_pooling2d(conv2, 2, 2)\n\n        # Flatten the data to a 1-D vector for the fully connected layer\n        fc1 = tf.contrib.layers.flatten(conv2)\n\n        # Fully connected layer (in tf contrib folder for now)\n        fc1 = tf.layers.dense(fc1, FLAGS.fc1)\n        # Apply Dropout (if is_training is False, dropout is not applied)\n        fc1 = tf.layers.dropout(fc1, rate=FLAGS.dropout, training=is_training)\n\n        # Output layer, class prediction\n        out = tf.layers.dense(fc1, n_classes)\n\n    return out\n\n\n# Define the model function (following TF Estimator Template)\ndef model_fn(features, labels, mode):\n    # Build the neural network\n    # Because Dropout have different behavior at training and prediction time, we\n    # need to create 2 distinct computation graphs that still share the same weights.\n    logits_train = conv_net(features, num_classes, reuse=False,\n                            is_training=True)\n    logits_test = conv_net(features, num_classes, reuse=True,\n                           is_training=False)\n\n    # Predictions\n    pred_classes = tf.argmax(logits_test, axis=1)\n    pred_probas = tf.nn.softmax(logits_test)\n\n    # If prediction mode, early return\n    if mode == tf.estimator.ModeKeys.PREDICT:\n        return tf.estimator.EstimatorSpec(mode, predictions=pred_classes)\n\n        # Define loss and optimizer\n    loss_op = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(\n        logits=logits_train, labels=tf.cast(labels, dtype=tf.int32)))\n    optimizer = tf.train.AdamOptimizer(learning_rate=FLAGS.learning_rate)\n    train_op = optimizer.minimize(loss_op,\n                                  global_step=tf.train.get_global_step())\n\n    # Evaluate the accuracy of the model\n    acc_op = tf.metrics.accuracy(labels=labels, predictions=pred_classes)\n\n    # TF Estimators requires to return a EstimatorSpec, that specify\n    # the different ops for training, evaluating, ...\n    estim_specs = tf.estimator.EstimatorSpec(\n        mode=mode,\n        predictions=pred_classes,\n        loss=loss_op,\n        train_op=train_op,\n        eval_metric_ops={'accuracy': acc_op})\n\n    return estim_specs\n\ndef train():\n    # Build the Estimator\n    mnist = input_data.read_data_sets(\"./input_data/\", one_hot=False)\n    \n    model = tf.estimator.Estimator(model_fn)\n\n    # Define the input function for training\n    input_fn = tf.estimator.inputs.numpy_input_fn(\n        x={'images': mnist.train.images}, y=mnist.train.labels,\n        batch_size=batch_size, num_epochs=None, shuffle=True)\n    # Train the Model\n    model.train(input_fn, steps=num_steps)\n\n    # Evaluate the Model\n    # Define the input function for evaluating\n    input_fn = tf.estimator.inputs.numpy_input_fn(\n        x={'images': mnist.test.images}, y=mnist.test.labels,\n        batch_size=batch_size, shuffle=False)\n    # Use the Estimator 'evaluate' method\n    e = model.evaluate(input_fn)\n\n    print(\"Testing Accuracy:\", e['accuracy'])\n    \n    \n    return e['accuracy']\n\ndef get_flop():\n    run_meta = tf.RunMetadata()\n    with tf.Session(graph=tf.Graph()) as sess:\n        x = tf.zeros([1,784])\n        out = conv_net({'images':x}, 10, False, False)\n        \n        opts = tf.profiler.ProfileOptionBuilder.float_operation()    \n        flops = tf.profiler.profile(sess.graph, run_meta=run_meta, cmd='op', options=opts)\n    print(\"Model FLOPs is %d\"%flops.total_float_ops)\n    return flops.total_float_ops\n\n\ndef main(_):\n    log_dir = FLAGS.log_dir + \"%s\" % datetime.now()\n    if tf.gfile.Exists(log_dir):\n        tf.gfile.DeleteRecursively(log_dir)\n    tf.gfile.MakeDirs(log_dir)\n    acc =  train()\n    flop = get_flop()\n    return (acc-1)/log(flop)  # metric used in AMC\n\n\nif __name__ == '__main__':\n\n    if len(sys.argv) < 2:\n        print(\"config file required\")\n        exit(1)\n\n    parser = argparse.ArgumentParser()\n    parser.add_argument('--learning_rate', type=float, default=0.001,\n                        help='Initial learning rate')\n    parser.add_argument('--dropout', type=float, default=0.1,\n                        help='drop probability for training dropout.')\n    parser.add_argument('--conv1', type=int, default=32,\n                        help='Conv1 layer size.')\n    parser.add_argument('--conv2', type=int, default=64,\n                        help='Conv2 layer size.')\n    parser.add_argument('--fc1', type=int, default=1024,\n                        help='FC1 layer size.')\n    parser.add_argument(\n        '--data_dir',\n        type=str,\n        default=os.path.join(os.getenv('TEST_TMPDIR', './'),\n                            'input_data/'),\n        help='Directory for storing input data')\n    parser.add_argument(\n        '--log_dir',\n        type=str,\n        default=os.path.join(os.getenv('TEST_TMPDIR', './'),\n                            'logs/'),\n        help='Summaries log directory')\n\n    FLAGS, unparsed = parser.parse_known_args()\n\n    config = BasicConfig(**FLAGS.__dict__).load(sys.argv[1])\n    FLAGS.__dict__.update(config)\n    # for hyperband\n    if \"n_iterations\" in FLAGS:\n        FLAGS.max_steps = int(FLAGS.n_iterations * 100)  # 100 times n_iteration units\n    print(\"FLAGS => \" + str(FLAGS))\n\n    val = main(config)\n    print(str(val))\n    \n    \n    print_result(val)\n"
  },
  {
    "path": "Examples/hpo_mnist/mnist_hpo_fail.py",
    "content": "#!/usr/bin/env python3\n\n# Modified from https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/convolutional_network.py\n# The trained model is evaluated by a combination of accuracy and FLOP.\n#\n# Original License\n\"\"\"\nThe MIT License (MIT)\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\nAll contributions by Aymeric Damien:\nCopyright (c) 2015, Aymeric Damien.\nAll rights reserved.\n\nAll other contributions:\nCopyright (c) 2015, the respective contributors.\nAll rights reserved.\n\nEach contributor holds copyright over their respective contributions.\nThe project versioning (Git) records all such contribution source information.\n\"\"\"\n\n\nfrom __future__ import division, print_function, absolute_import\n\nimport argparse\nimport os\nimport sys\nfrom datetime import datetime\nfrom math import log\n\nimport tensorflow as tf\n# Import MNIST data\nfrom tensorflow.examples.tutorials.mnist import input_data\n\nfrom aup import BasicConfig, print_result\n\n# Training Parameters\nnum_steps = 2000\nbatch_size = 128\n\n# Network Parameters\nnum_input = 784 # MNIST data input (img shape: 28*28)\nnum_classes = 10 # MNIST total classes (0-9 digits)\n\n\n# Create the neural network\ndef conv_net(x_dict, n_classes, reuse, is_training):\n    # Define a scope for reusing the variables\n    with tf.variable_scope('ConvNet', reuse=reuse):\n        # TF Estimator input is a dict, in case of multiple inputs\n        x = x_dict['images']\n\n        # MNIST data input is a 1-D vector of 784 features (28*28 pixels)\n        # Reshape to match picture format [Height x Width x Channel]\n        # Tensor input become 4-D: [Batch Size, Height, Width, Channel]\n        x = tf.reshape(x, shape=[-1, 28, 28, 1])\n\n        # Convolution Layer with 32 filters and a kernel size of 5\n        conv1 = tf.layers.conv2d(x, FLAGS.conv1, 5, activation=tf.nn.relu)\n        # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n        conv1 = tf.layers.max_pooling2d(conv1, 2, 2)\n\n        # Convolution Layer with 64 filters and a kernel size of 3\n        conv2 = tf.layers.conv2d(conv1, FLAGS.conv2, 3, activation=tf.nn.relu)\n        # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n        conv2 = tf.layers.max_pooling2d(conv2, 2, 2)\n\n        # Flatten the data to a 1-D vector for the fully connected layer\n        fc1 = tf.contrib.layers.flatten(conv2)\n\n        # Fully connected layer (in tf contrib folder for now)\n        fc1 = tf.layers.dense(fc1, FLAGS.fc1)\n        # Apply Dropout (if is_training is False, dropout is not applied)\n        fc1 = tf.layers.dropout(fc1, rate=FLAGS.dropout, training=is_training)\n\n        # Output layer, class prediction\n        out = tf.layers.dense(fc1, n_classes)\n\n    return out\n\n\n# Define the model function (following TF Estimator Template)\ndef model_fn(features, labels, mode):\n    # Build the neural network\n    # Because Dropout have different behavior at training and prediction time, we\n    # need to create 2 distinct computation graphs that still share the same weights.\n    logits_train = conv_net(features, num_classes, reuse=False,\n                            is_training=True)\n    logits_test = conv_net(features, num_classes, reuse=True,\n                           is_training=False)\n\n    # Predictions\n    pred_classes = tf.argmax(logits_test, axis=1)\n    pred_probas = tf.nn.softmax(logits_test)\n\n    # If prediction mode, early return\n    if mode == tf.estimator.ModeKeys.PREDICT:\n        return tf.estimator.EstimatorSpec(mode, predictions=pred_classes)\n\n        # Define loss and optimizer\n    loss_op = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(\n        logits=logits_train, labels=tf.cast(labels, dtype=tf.int32)))\n    optimizer = tf.train.AdamOptimizer(learning_rate=FLAGS.learning_rate)\n    train_op = optimizer.minimize(loss_op,\n                                  global_step=tf.train.get_global_step())\n\n    # Evaluate the accuracy of the model\n    acc_op = tf.metrics.accuracy(labels=labels, predictions=pred_classes)\n\n    # TF Estimators requires to return a EstimatorSpec, that specify\n    # the different ops for training, evaluating, ...\n    estim_specs = tf.estimator.EstimatorSpec(\n        mode=mode,\n        predictions=pred_classes,\n        loss=loss_op,\n        train_op=train_op,\n        eval_metric_ops={'accuracy': acc_op})\n\n    return estim_specs\n\ndef train():\n    # Build the Estimator\n    mnist = input_data.read_data_sets(\"./input_data/\", one_hot=False)\n    \n    model = tf.estimator.Estimator(model_fn)\n\n    # Define the input function for training\n    input_fn = tf.estimator.inputs.numpy_input_fn(\n        x={'images': mnist.train.images}, y=mnist.train.labels,\n        batch_size=batch_size, num_epochs=None, shuffle=True)\n    # Train the Model\n    model.train(input_fn, steps=num_steps)\n\n    # Evaluate the Model\n    # Define the input function for evaluating\n    input_fn = tf.estimator.inputs.numpy_input_fn(\n        x={'images': mnist.test.images}, y=mnist.test.labels,\n        batch_size=batch_size, shuffle=False)\n    # Use the Estimator 'evaluate' method\n    e = model.evaluate(input_fn)\n\n    print(\"Testing Accuracy:\", e['accuracy'])\n    \n    \n    return e['accuracy']\n\ndef get_flop():\n    run_meta = tf.RunMetadata()\n    with tf.Session(graph=tf.Graph()) as sess:\n        x = tf.zeros([1,784])\n        out = conv_net({'images':x}, 10, False, False)\n        \n        opts = tf.profiler.ProfileOptionBuilder.float_operation()    \n        flops = tf.profiler.profile(sess.graph, run_meta=run_meta, cmd='op', options=opts)\n    print(\"Model FLOPs is %d\"%flops.total_float_ops)\n    return flops.total_float_ops\n\n\ndef main(_):\n    log_dir = FLAGS.log_dir + \"%s\" % datetime.now()\n    if tf.gfile.Exists(log_dir):\n        tf.gfile.DeleteRecursively(log_dir)\n    tf.gfile.MakeDirs(log_dir)\n    acc =  train()\n    flop = get_flop()\n    return (acc-1)/log(flop)  # metric used in AMC\n\n\nif __name__ == '__main__':\n\n    if len(sys.argv) < 2:\n        print(\"config file required\")\n        exit(1)\n        \n    import random\n    if random.random()>0.75:\n        raise Exception('failed', 'test123')\n\n    parser = argparse.ArgumentParser()\n    parser.add_argument('--learning_rate', type=float, default=0.001,\n                        help='Initial learning rate')\n    parser.add_argument('--dropout', type=float, default=0.1,\n                        help='drop probability for training dropout.')\n    parser.add_argument('--conv1', type=int, default=32,\n                        help='Conv1 layer size.')\n    parser.add_argument('--conv2', type=int, default=64,\n                        help='Conv2 layer size.')\n    parser.add_argument('--fc1', type=int, default=1024,\n                        help='FC1 layer size.')\n    parser.add_argument(\n        '--data_dir',\n        type=str,\n        default=os.path.join(os.getenv('TEST_TMPDIR', './'),\n                            'input_data/'),\n        help='Directory for storing input data')\n    parser.add_argument(\n        '--log_dir',\n        type=str,\n        default=os.path.join(os.getenv('TEST_TMPDIR', './'),\n                            'logs/'),\n        help='Summaries log directory')\n\n    FLAGS, unparsed = parser.parse_known_args()\n\n    config = BasicConfig(**FLAGS.__dict__).load(sys.argv[1])\n    FLAGS.__dict__.update(config)\n    # for hyperband\n    if \"n_iterations\" in FLAGS:\n        FLAGS.max_steps = int(FLAGS.n_iterations * 100)  # 100 times n_iteration units\n    print(\"FLAGS => \" + str(FLAGS))\n\n    val = main(config)\n    print(str(val))\n    \n    \n    print_result(val)\n"
  },
  {
    "path": "Examples/intermediate_results/README.md",
    "content": "# Intermediate Results\n\n## Usage\n\nIntermediate results are non-final results for each job of an experiment used\nin order to better tell the evolution of a job through time. Each intermediate\n\"result\" can be one or multiple values.\n\nIn order to let auptimizer know that intermediate results are to be tracked,\nthe flag \"track_intermediate_results\" should be passed in the experiment config\nunder \"resource_args\":\n\n    \"resource_args\":\n    {\n        \"track_intermediate_results\": true\n    }\n\nThe script used in the experiment then has to call `aup.print_result` each time \nan intermediate result is to be saved. The last reported result will always be taken \nas the final result of a job. Please refer to `quad_euation_min/quad_min.py` for training script modification.\n\nThe intermediate results will be shown on the dashboard if tracked.\n\n## Examples\n\nTake the following main function in a user script:\n\n    def main(x, a=2, b=4, c=5, n=10):\n        it = 1.0\n        for _ in range(n):\n            res = x*x*a + x*b + c\n            res += it\n            it -= 1.0 / 10\n            aup.print_result(res)\n\n1. If \"track_intermediate_results\" is `false` or missing, all results except the last one will be discarded:\n\n```json\n{\n    \"proposer\": ...,\n    \"script\": ...,\n    \"resource\": ...,\n    \"n_parallel\": ...,\n    \"target\": \"min\",\n    \"n_samples\": ...,\n    \"parameter_config\": [\n        {\n            \"name\": \"x\",\n            \"range\": [-1.0, 100.0],\n            \"type\": \"float\"\n        }\n    ]\n}  \n```\n```\nsqlite> SELECT COUNT(*) FROM intermediate_result;\nCOUNT(*)\n0\n```\n\n2. If \"track_intermediate_results\" is present in the config and is set to `true`, then the values will be found in the database (200 jobs with 10 intermediate results each):\n\n```json\n{\n    \"proposer\": ...,\n    \"script\": ...,\n    \"resource\": ...,\n    \"n_parallel\": ...,\n    \"target\": \"min\",\n    \"n_samples\": ...,\n    \"resource_args\": \n    {\n        \"track_intermediate_results\": true\n    },\n    \"parameter_config\": [\n        {\n            \"name\": \"x\",\n            \"range\": [-1.0, 100.0],\n            \"type\": \"float\"\n        }\n    ]\n}  \n```\n```\nsqlite> SELECT COUNT(*) FROM intermediate_result;\n2000\n```"
  },
  {
    "path": "Examples/intermediate_results/quad_equation_min/quad_min.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function for HPO and aup\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport sys\n\nimport aup\nfrom time import sleep\n\ndef rosenbrock(x, a=2, b=4, c=5):\n    sleep(1)\n    \n    it = 1.0\n    for _ in range(10):\n        res = x*x*a + x*b + c\n        res += it\n        it -= 1.0 / 10\n        aup.print_result(res)\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = aup.BasicConfig().load(sys.argv[1])\n    rosenbrock(config['x'])\n"
  },
  {
    "path": "Examples/intermediate_results/quad_equation_min/quad_min_BOHB.json",
    "content": "{\n  \"name\": \"./intermediate_results/quad_equation_min/quad_min_BOHB_bandit.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_iterations\": 100,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"resource_args\": \n    {\n      \"track_intermediate_results\": true\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/intermediate_results/quad_equation_min/quad_min_random.json",
    "content": "{\n  \"name\": \"./intermediate_results/quad_equation_min/quad_min_random_bandit.json\",\n  \"proposer\": \"random\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 200,\n  \"resource_args\": \n    {\n      \"track_intermediate_results\": true\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/intermediate_results/quad_equation_min/quad_min_spearmint.json",
    "content": "{\n  \"name\": \"./intermediate_results/quad_equation_min/quad_min_spearmint_bandit.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 50,\n  \"engine\":\"GPEIChooser\",\n  \"resource_args\": \n    {\n      \"track_intermediate_results\": true\n    },\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/job_failure_control/README.md",
    "content": "# Job Failure control Examples\n\nThis folder contains examples that demonstrate the different scenarios under job failure conditions and how Auptimizer handles them gracefully. \nThe examples can be broadly divided into two categories - \n\n## 1. Job failures based on incorrect or incomplete experiment configuration (For debugging purposes only) \n\n`experiment_no_*.json` files demonstrate an ill-configured experiment setup. They will result in standard error conditions and Auptimizer will report them, providing users with detailed description of the failure.\n\n- `experiment_no_nsample.json` : Auptimizer Error ( KeyError: \"Specify number of samples to randomly draw\")\n- `experiment_no_param_config.json` : Auptimizer Error (KeyError: \"Specify the parameter configuration 'parameter_config' to be searched\")\n- `experiment_no_proposer.json` : Auptimizer Error (KeyError: \"Specify the optimization 'proposer'\")\n- `experiment_no_resource.json` : Auptimizer Error (KeyError: \"Missing required value for 'resource'\")\n- `experiment_no_script.json` : Auptimizer Error (KeyError: \"Missing required value for 'script'\")\n- `experiment_extra_argument.json` : No Auptimizer Error (for extra variable c)\n\n## 2. Experiment persistence and job retries upon job failure\n\nThe following examples show how Auptimizer provides control for allowing job retries and experiment continuation upon job failures. \n\n- `experiment_job_retries.json` : Auptimizer retries failed job 3 times.\n- `experiment_job_ignore_fail.json` : Auptimizer ignores failed job, and continues the experiment\n- `experiment_job_retries_ignore_fail.json` : Auptimizer retries failed job 3 times. If all retries fail, Auptimizer ignores the failed job and continues the experiment.\n\nAuptimizer uses the `job_failure` variable to control this behavior, with the following parameters:\n- `job_retries` : number of times to retry a failed job, default is 0. Preference is given to a different resource, if multiple resources are available.\n- `ignore_fail` : whether to continue the experiment if a job fails, default is False. Currently [BOHB, EAS, Hyperband] proposers do not support experiment continuation upon job failure.\n\nThe examples use `test.py` file, which will fail to return any result when `time=3`. When we run the base case `experiment_test.json` as:\n\n    python3 -m aup experiment_test.json\n    \nIt will print something like:\n\n    2018-10-17 12:02:02 - aup.EE.Resource.CPUResourceManager - CRITICAL - Failed to run job:\n    ******/Examples/job_failure_control/test.py\n    ******/Examples/job_failure_control/jobs/79.json\n    2018-10-17 12:02:02 - aup.EE.Experiment - CRITICAL - Stop Experiment due to job failure\n    Best job (80) with score 4.000000 in experiment 14\n\n\n## experiment ill-configuration\n\nOther `experiment_no_*.json` files demonstrate ill-configured experiment setup.\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_extra_argument.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_extra_argument.json\",\n  \"script\": \"rosenbrock_hpo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\": \"min\",\n  \"proposer\": \"random\",\n  \"n_samples\": 20,\n  \"random_seed\": 0,\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"c\",\n      \"range\": [\n        0,\n        1\n      ],\n      \"type\": \"float\"\n    }\n  ]\n}"
  },
  {
    "path": "Examples/job_failure_control/experiment_job_ignore_fail.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_job_ignore_fail.json\",\n  \"proposer\": \"sequence\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"test.py\",\n  \"job_failure\": {\n    \"ignore_fail\": true\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"time\",\n      \"range\": [\n          1,\n          10\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_job_retries.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_job_retries.json\",\n  \"proposer\": \"sequence\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"test.py\",\n  \"job_failure\": {\n    \"job_retries\": 3\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"time\",\n      \"range\": [\n          1,\n          10\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_job_retries_ignore_fail.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_job_retries_ignore_fail.json\",\n  \"proposer\": \"sequence\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"test.py\",\n  \"job_failure\": {\n    \"job_retries\": 3,\n    \"ignore_fail\": true\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"time\",\n      \"range\": [\n          1,\n          10\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_no_nsample.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_no_nsample.json\",\n  \"proposer\": \"random\",\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_no_param_config.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_no_param_config.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 30,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_no_proposer.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_no_proposer.json\",\n\n  \"n_samples\": 30,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_no_resource.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_no_resource.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 30,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"n_parallel\": 4,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_no_script.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_no_script.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 30,\n  \"random_seed\": 1,\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/experiment_test.json",
    "content": "{\n  \"name\": \"./job_failure_control/experiment_test.json\",\n  \"proposer\": \"sequence\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"test.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"time\",\n      \"range\": [\n          1,\n          10\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/job_failure_control/rosenbrock_hpo.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function for HPO and aup\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\n\nimport sys\n\n\"\"\"\nfrom aup import BasicConfig, print_result\ndef rosenbrock(conf, a=1, b=100):\n    x = conf.x\n    y = conf.y\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    val = rosenbrock(config)\n    print_result(val)\n\"\"\"\nfrom aup import aup_args\n\n@aup_args\ndef rosenbrock(x, y, a=1, b=100):\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    \n    rosenbrock(sys.argv[1])\n"
  },
  {
    "path": "Examples/job_failure_control/test.py",
    "content": "#!/usr/bin/env python3\n\"\"\"\nJob will fail when sleep time is 1\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport sys\nfrom time import sleep\n\nfrom aup import BasicConfig, print_result\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    sleep(1+config.time/10.)\n    if config.time == 3:\n        exit(1)\n    print_result(config.time)\n"
  },
  {
    "path": "Examples/mnist_keras_save_model/README.md",
    "content": "# Save best model feature\n\nThis example showcases how to use saving the best model feature. This feature allows the user to save the best performing model after running the HPO experiment. This is achieved by running the training script again using the best hyperparamters obtained during HPO the experiment. \nThe model, by default, will be saved to path ``aup_models/models_<eid>/<user_defined_model_path>``.\n\n## Usage\n\nIn order to use this feature, please add to the configuration file:\n\n\t\"resource_args\": {\n\t\t\"save_model\": true\n  \t}\n\nDepending on whether ``@aup_args`` is used, the training script needs to be changed differently. \nPlease check ``mnist.py`` and ``mnist_wo_decorator.py`` for examples of adapting the training script \nwith and without using the decorator, respectively.\n\n## Run experiment\n\nTo run the experiment on the remote machine, make sure to change the ``node.txt`` file and \"workingdir\" \nin ``exp_random_node.json`` to the your own settings. Then run\n```sh\npython -m aup.setup\npython -m aup exp_random_node.json\n```\n\nTo run the experiment using the local cpu, please run\n```sh\npython -m aup.setup cpu.ini\npython -m aup exp_random_cpu.json\n```\n\n"
  },
  {
    "path": "Examples/mnist_keras_save_model/cpu.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=./.aup\n# Temp folder\nTMP_FOLDER=./aup_tmp\n# SQL engine\nSQL_ENGINE=sqlite\n"
  },
  {
    "path": "Examples/mnist_keras_save_model/exp_random_cpu.json",
    "content": "{\n  \"name\": \"random_wo_decorator\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist_wo_decorator.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 10,\n  \"resource_args\": {\n    \"save_model\": true\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/mnist_keras_save_model/exp_random_node.json",
    "content": "{\n  \"name\": \"random_w_decorator_remote\",\n  \"workingdir\": \"/home/usr/aup_demo\",\n  \"proposer\": \"random\",\n  \"script\": \"mnist.py\",\n  \"resource\": \"node\",\n  \"n_parallel\": 4,\n  \"target\":\"max\",\n  \"n_samples\": 10,\n  \"resource_args\": {\n    \"save_model\": true\n  },\n  \"runtime_args\": {\n    \"overwrite\": true\n  },\n  \"parameter_config\": [\n    {\n      \"name\": \"dropout\",\n      \"range\": [0.0, 0.5],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"learning_rate\",\n      \"range\": [\n        0.001,\n        0.01\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"conv1\",\n      \"range\": [\n        20,\n        50\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"conv2\",\n      \"range\": [\n        40,\n        80\n      ],\n      \"type\": \"int\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/mnist_keras_save_model/mnist.py",
    "content": "#!/usr/bin/env python3\n\n\"\"\"\nMNIST convolutional network using Keras\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nfrom aup import print_result, aup_args, aup_save_model\n\nimport tensorflow as tf\nimport numpy as np\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\n\nfrom math import log\n\nimport sys\n\nnum_epochs = 5\nbatch_size = 64\nnum_classes = 10\ninput_shape = (28, 28, 1)\n\n# Load example MNIST data and pre-process it\n# the data, split between train and test sets\n(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n\n# Scale images to the [0, 1] range\nx_train = x_train.astype(\"float32\") / 255\nx_test = x_test.astype(\"float32\") / 255\n# Make sure images have shape (28, 28, 1)\nx_train = np.expand_dims(x_train, -1)\nx_test = np.expand_dims(x_test, -1)\n\n# convert class vectors to binary class matrices\ny_train = keras.utils.to_categorical(y_train, num_classes)\ny_test = keras.utils.to_categorical(y_test, num_classes)\n\ndef get_flops():\n    run_meta = tf.RunMetadata()\n    opts = tf.profiler.ProfileOptionBuilder.float_operation()\n\n    # We use the Keras session graph in the call to the profiler.\n    flops = tf.profiler.profile(graph=keras.backend.get_session().graph,\n                                run_meta=run_meta, cmd='op', options=opts)\n\n    return flops.total_float_ops  # Prints the \"flops\" of the model.\n\ndef get_model(**kwargs):\n    model = keras.Sequential(\n      [\n          keras.Input(shape=input_shape),\n          layers.Conv2D(kwargs['conv1'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Conv2D(kwargs['conv2'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Flatten(),\n          layers.Dropout(kwargs['dropout']),\n          layers.Dense(num_classes, activation=\"softmax\"),\n      ]\n    )\n\n    model.compile(loss=\"categorical_crossentropy\",\n                optimizer=keras.optimizers.Adam(learning_rate=kwargs['learning_rate']),\n                metrics=[\"accuracy\"])\n\n    return model\n\n@aup_args\ndef do_train(learning_rate=0.001, dropout=0.1, conv1=32, conv2=64):\n  model = get_model(**locals())\n\n  model.fit(\n    x_train,\n    y_train,\n    batch_size=batch_size,\n    epochs=num_epochs,\n    verbose=1,\n    validation_split=0.5,\n  )\n\n  res = model.evaluate(\n    x_test,\n    y_test,\n    batch_size=batch_size,\n    verbose=1,\n  )\n\n  # register the saving model function\n  # add model as argument\n  aup_save_model(save_model, model)\n\n  flops = get_flops()\n\n  return (res[1]-1.0) / log(flops)\n\ndef save_model(model):\n  import os\n\n  # dummy folders as example\n  os.makedirs('f1/f2')\n  os.makedirs('f1/f3')\n\n  # actual model\n  model.save('./f1/f2/mnist.h5')\n\nif __name__ == '__main__':\n\n  if len(sys.argv) < 2:\n      print(\"config file required\")\n      exit(1)\n\n  do_train(sys.argv[1])\n\n"
  },
  {
    "path": "Examples/mnist_keras_save_model/mnist_wo_decorator.py",
    "content": "#!/usr/bin/env python3\n\n\"\"\"\nMNIST convolutional network using Keras\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nfrom aup import BasicConfig, print_result\n\nimport tensorflow as tf\nimport numpy as np\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\n\nfrom math import log\n\nimport sys\n\n\nnum_epochs = 5\nbatch_size = 64\nnum_classes = 10\ninput_shape = (28, 28, 1)\n\n# Load example MNIST data and pre-process it\n# the data, split between train and test sets\n(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n\n# Scale images to the [0, 1] range\nx_train = x_train.astype(\"float32\") / 255\nx_test = x_test.astype(\"float32\") / 255\n# Make sure images have shape (28, 28, 1)\nx_train = np.expand_dims(x_train, -1)\nx_test = np.expand_dims(x_test, -1)\n\n# convert class vectors to binary class matrices\ny_train = keras.utils.to_categorical(y_train, num_classes)\ny_test = keras.utils.to_categorical(y_test, num_classes)\n\ndef get_flops():\n    run_meta = tf.RunMetadata()\n    opts = tf.profiler.ProfileOptionBuilder.float_operation()\n\n    # We use the Keras session graph in the call to the profiler.\n    flops = tf.profiler.profile(graph=keras.backend.get_session().graph,\n                                run_meta=run_meta, cmd='op', options=opts)\n\n    return flops.total_float_ops  # Prints the \"flops\" of the model.\n\ndef get_model(**kwargs):\n    model = keras.Sequential(\n      [\n          keras.Input(shape=input_shape),\n          layers.Conv2D(kwargs['conv1'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Conv2D(kwargs['conv2'], kernel_size=(3, 3), activation=\"relu\"),\n          layers.MaxPooling2D(pool_size=(2, 2)),\n          layers.Flatten(),\n          layers.Dropout(kwargs['dropout']),\n          layers.Dense(num_classes, activation=\"softmax\"),\n      ]\n    )\n\n    model.compile(loss=\"categorical_crossentropy\",\n                optimizer=keras.optimizers.Adam(learning_rate=kwargs['learning_rate']),\n                metrics=[\"accuracy\"])\n\n    return model\n\ndef do_train(learning_rate=0.001, dropout=0.1, conv1=32, conv2=64,\n              save_model=False, folder_name=None):\n  model = get_model(**locals())\n\n  model.fit(\n    x_train,\n    y_train,\n    batch_size=batch_size,\n    epochs=num_epochs,\n    verbose=1,\n    validation_split=0.5,\n  )\n\n  res = model.evaluate(\n    x_test,\n    y_test,\n    batch_size=batch_size,\n    verbose=1,\n  )\n\n  # this means we are in best job context\n  # config also contains save_model flag and\n  # folder_name path\n  if save_model is True:\n    import shutil\n    import os\n\n    path = os.path.join('aup_models', folder_name)\n\n    if os.path.exists('aup_models') is False:\n        os.makedirs('aup_models')\n\n    if os.path.exists(path) is True:\n        shutil.rmtree(path)\n\n    os.makedirs(path)\n    os.chdir(path)\n\n    save_model_fun(model)\n\n  flops = get_flops()\n\n  return (res[1]-1.0) / log(flops)\n\ndef save_model_fun(model):\n  import os\n\n  # dummy folders as example\n  os.makedirs('f1/f2')\n  os.makedirs('f1/f3')\n\n  # actual model\n  model.save('./f1/f2/mnist.h5')\n\nif __name__ == '__main__':\n\n  if len(sys.argv) < 2:\n      print(\"config file required\")\n      exit(1)\n\n  config = BasicConfig()\n  config.load(sys.argv[1])\n\n  val = do_train(**config)\n  print(str(val))\n\n  print_result(val)\n\n"
  },
  {
    "path": "Examples/mnist_keras_save_model/node.txt",
    "content": "user@192.168.XX.XX\nuser@192.168.XX.XX\n"
  },
  {
    "path": "Examples/profiler_examples/README.md",
    "content": "For more details about how to use Profiler and run the examples in this folder refer to [Profiler](https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/src/aup/profiler).\nWe have also provided detailed experiments we performed using Profiler to estimate the performance of various edge-devices under [Experiments]( https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples/experiments).\n"
  },
  {
    "path": "Examples/profiler_examples/bench/download.sh",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\nwget https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz\nwget https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.75_224.tgz\n\ntar -xvzf mobilenet_v1_1.0_224.tgz\ntar -xvzf mobilenet_v1_0.75_224.tgz"
  },
  {
    "path": "Examples/profiler_examples/bench/test_perf.py",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\n# Compute the overall inference time for a given tflite model\nimport tensorflow as tf\nfrom tflite_runtime.interpreter import Interpreter\nimport tensorflow.random\nimport numpy as np\nimport time\nimport os\n\n\nWARMUP = 1\nITER = 500\nCONSTANT = 0.5\n\n\ndef compute(model_path):\n    now = time.monotonic()\n    intp = Interpreter(model_path)\n    x = intp.tensor(intp.get_input_details()[0]['index'])\n    iy = intp.get_output_details()[0]['index']\n    intp.allocate_tensors()\n    t1 = time.monotonic() - now\n    now = time.monotonic()\n    \n    for i in range(WARMUP):\n        #x().fill(CONSTANT)\n        x =np.random.rand()\n        intp.invoke()\n        y = intp.get_tensor(iy)\n    t2 = time.monotonic() - now\n    now = time.monotonic()\n    for i in range(ITER):\n        #x().fill(CONSTANT)\n        x =np.random.rand()\n        intp.invoke()\n        y = intp.get_tensor(iy)\n    t3 = time.monotonic() - now    \n    return t1, t2/float(WARMUP), t3/float(ITER)\n\n\nif __name__ == \"__main__\":\n    import sys\n\n    if len(sys.argv) != 2:\n        print(\"test_acc.py <model_path>\")\n        \n    print(compute(sys.argv[1]))"
  },
  {
    "path": "Examples/profiler_examples/env_benchmark.template",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n#User data Variables\nIMAGEREPO=tensorflow/tensorflow:1.15.0-py3\nAPTREQUIREMENTS=\"wget\"\n# PIPREQUIREMENTS=\"ipython numpy\"\nPRERUN=\"wget https://dl.google.com/coral/python/tflite_runtime-1.14.0-cp36-cp36m-linux_x86_64.whl; pip install tflite_runtime-1.14.0-cp36-cp36m-linux_x86_64.whl\"\nDIR=bench\nSCRIPT=test_perf.py\nCOMMAND=python\nSAMPLETIME=3\nOUTPUTFILE=out.txt\nDOCFILE=Dockerfile\nDOCKCPUS=\"4.0\"\nDOCKMEMORY=\"2.0g\"\n# Additional docker arguments could be passed as following:\n# To run Docker container with privilege capability change to 'true'\n# To use Volume instead of copying data with the current folder\n# use the format \"-v /path/in/source:/path/in/destination\" as string\n# DOCKER_ARGS=\"--privileged -v /data:/mnist_data\"\nDOCKER_ARGS="
  },
  {
    "path": "Examples/profiler_examples/env_mnist.template",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n#User data Variables\nIMAGEREPO=tensorflow/tensorflow:1.3.0\n# APTREQUIREMENTS=\"curl vim\"\n# PIPREQUIREMENTS=\"ipython numpy\"\nDIR=mnist\nSCRIPT=mnist.py\nCOMMAND=python\nSAMPLETIME=3\nOUTPUTFILE=out.txt\nDOCFILE=Dockerfile\nDOCKCPUS=\"4.0\"\nDOCKMEMORY=\"2.0g\"\n# Additional docker arguments could be passed as following:\n# To run Docker container with privilege capability change to 'true'\n# To use Volume instead of copying data with the current folder\n# use the format \"-v /path/in/source:/path/in/destination\" as string\n# DOCKER_ARGS=\"--privileged -v /data:~/Documents/Data/mnist1\"\nDOCKER_ARGS=\n"
  },
  {
    "path": "Examples/profiler_examples/experiments/Readme.md",
    "content": "# Use Profiler for On-Device Resource Footprint Estimation\nProfiler can be used to estimate model script performance and resource requirements for a target device on the development machine. Given a set of models and the resource constraints (i.e. memory and CPU) to reflect *target device specs* or *the desired resource budget*, Profiler can help with the following **two scenarios**:  \n1. The ranking of the runtimes and memory usages of the model scripts measured using Profiler on the development machine is indicative of their ranking on the target device. For instance, if `Model1` is faster than `Model2` when measured using Profiler on the development machine, `Model1` will be faster than `Model2` on the device. This ranking is valid only when the CPUs are running at **full utilization**.\n\n2. The runtimes and memory usages of the model scripts measured using Profiler on the development machine is related by a simple **linear relationship** to the usage measured with a native profiling tool on the actual device. In other words, if a model runs in time `x` when measured using Profiler, it will run approximately in time `(a*x+b)` on the target device (where `a` and `b` can be discovered by profiling a few models on the device with a native profiling tool). The strength of this relationship depends on the architectural similarity between the models. In general, the models designed for the same task are architecturally similar as they are composed of the same set of layers, making Profiler a useful tool for model selection.\n\nTo support these claims and showcase Profiler's capabilities, we have conducted extensive experiments on three devices: LG G6, Samsung S8, and NVIDIA Jetson Nano. For anyone interested in conducting similar experiments on their own devices, we have put together the following Experiment Guidelines.   \n\n## Guidelines for Experiment Setup\nThe goal of the experiment is to explore the relationship of model runtime and resource footprint measured using Profiler on the development machine and model runtime and resource footprint measured with a native profiling tool on a target device. \n\n**For the first scenario**, to get a performance ordering of models, the user can acquire the CPU and memory constraints of the target device, and run Profiler on a desktop CPU with those constraints. Please make sure that the models used in Profiler match those to be deployed on-device (e.g., both are TFLite models). Our experiments show that the output from Profiler should provide the relative goodness of models for CPU-based devices.\n\nIn some cases, when two models are very close in performance (e.g., with peak memory usage difference of ~10MB), a flipped ordering might be observed on-device compared to Profiler output. However, the performances should still be close to each other.\n\n**For the second scenario**, to acquire a linear relationship between Profiler estimates and on-device performance, the user needs to profile a set of models both using Profiler on the development machine and with a native profiling tool on the target device. Below, are the general steps to conduct this experiment.  \n\n- ***Step 1***: Prepare the models and profiling scripts for both Profiler and the target device. The models running on Profiler and on-device should be in the same format / generated using the same framework. The scripts running on Profiler and on-device may be written in different programming languages, but should implement the same functionality (e.g., both running inference using batch size 1 for 500 iterations).\n- ***Step 2***: Acquire device resource constraints (i.e. number of CPU cores/threads and memory limit), and input these constraints in the Profiler user variables in `env.template`.\n- ***Step 3***: Run experiments.\n  - Run the profiling script using Profiler for all models on a desktop CPU. \n  - Run the profiling script using a native profiling tool on the target device.\n- ***Step 4***: Due to possible variances across experiments, we recommend running Step 3 multiple times and taking the averages of the measured metrics for further analysis.\n- ***Step 5 (optional)***: Use any regression analysis tool to establish the relationship between Profiler outputs and the on-device measurements for the profiled models.\n\n## Experiment I - Profiler and TFLite Model Benchmark for LG G6 and Samsung S8 Deployments\n### Experiment Configurations:\n- ***Models:*** InceptionV3, SqueezeNet, MobileNetV2-0.25x, -0.5x, -0.75x, -1.0x\n- ***Profiling script:*** Profile inference performance. Run inference using a selected model for 500 iterations with batchsize 1 on randomly generated input\n- ***Framework:*** TFLite\n- ***CPU:*** CPU = 1, 2, 4 for Profiler, use Thread = 1, 2, 4 on the phone\n- ***Memory:*** Max memory is 4 GB for both phones, but the memory variable is set to 2 GB in Profiler, which simulates a lower memory limit.\n- ***On-device profiling tool:*** [TFLite Model Benchmark Tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/benchmark)\n\n### Results:\nThe experiment was conducted 5 times. We measured the average inference time on one input sample across 500 iterations, and the peak memory usage. The averages of 5 experiments are shown in Figures 1 and 2. The formula and R-squared value for the best fitting line are also shown in the plots.\n\nEven though Profiler only outputs the script's total execution time, users can utilize the Profiler environment and measure the execution time of different functions in their profiling script like we did in this experiment. An example script for measuring the inference time is provided in [script](https://github.com/LGE-ARC-AdvancedAI/auptimizer/blob/master/Examples/profiler_examples/bench/test_perf.py).\n\n|![image](figures/G6_S8_time.png)|\n|:--:| \n| *Figure 1: Model inference time measured with Profiler on the desktop vs TFLite Model Benchmark on LG G6, and Profiler on the desktop vs TFLite Model Benchmark on Samsung S8.* |\n\nFor both phones, a linear relationship can be established between the inference time measured in the Profiler environment and the inference time measured on the phones, for various numbers of CPUs/threads. \n\n|![image](figures/G6_S8_peakmemory.png)|\n|:--:| \n| *Figure 2: Peak memory usage measured on Profiler vs LG G6, and Profiler vs Samsung S8.* |\n\nThe peak memory usage does not vary much across the number of CPUs/threads. So we only present one representative plot with `CPU/thread = 1` for both phones. Again, a linear relationship can be observed. The dot on the right-upper corner represents the InceptionV3 model, in both Figures 1 and 2, which has a significantly larger resource footprint than the rest of the models.\n\n## Experiment II - Profiler and Jetson Stats for Nvidia Jetson Nano Deployment\n### Experiment Configurations:\n- ***Models:***  \n*Image classification models*: ShuffleNetV2-0.5x, SqueezeNet, MobileNetV2-1.0x, ResNet18, InceptionV3  \n*Video classification models*: 3D-SqueezeNet, 3D-ShuffleNetV2-0.25x, -0.5x, -1.0x, -1.5x, -2.0x, 3D-MobileNetV2-0.25x, -0.5x, -0.75x, -1.0x, -2.0x  \n(model credit to [Efficient-3DCNNs](https://github.com/okankop/Efficient-3DCNNs))  \n- ***Profiling script:*** Profile inference performance. Run inference using a selected model for 500 iterations with batchsize 1 on randomly generated input\n- ***Framework:*** Pytorch\n- ***CPU:*** CPU = 1 for Profiler, use 1 CPU core on NVIDIA Jetson Nano \n- ***Memory Limit:*** Max memory on NVIDIA Jetson Nano is 4 GB. The memory variable is set to 4 GB in Profiler.\n- ***On-device profiling tool:*** [jetson-stats](https://github.com/rbonghi/jetson_stats)\n\n\n### Results:\nWe ran the experiment 5 times. For this experiment, we measured the script's total execution time (direct output from Profiler, denoted as `Runtime` in figures), average memory usage, and peak memory usage. The averages of these measures across five experiments are shown in Figures 3 and 4. The formula and R-squared value for the best fitting line are also shown in the plots.\n\n|![image](figures/nano_image_models.png)|\n|:--:| \n| *Figure 3: Image model performances measured using Profiler on the desktop and Jetson Stats on NVIDIA Jetson Nano.* |\n\n|![image](figures/nano_video_models.png)|\n|:--:| \n| *Figure 4: Video model performances measured using Profiler on the desktop and Jetson Stats on NVIDIA Jetson Nano.* |\n\nNote that separate plots are made for image models and video models, respectively. This is due to the fact that video models profiled here are architecturally different from the image models. As we have discussed, Profiler estimation is only valid for models with similar architectures or layers. \n\n## Conclusion\nFrom the experimental results shared above, we have shown that Profiler can help users build a good estimate of model runtime and memory usage on LG G6, Samsung S8, and NVIDIA Jetson Nano, for some popular image/video recognition models. We hope that Profiler's estimation capability can enable leaner and faster model development for resource-constrained devices.  \n\nProfiler might have limitations for certain models/devices, resulting in inconsistencies between Profiler outputs and on-device measurements. Therefore, we welcome the community to run experiments on their device of choice and **report any inconsistencies or limitations via GitHub Issues**.   \n"
  },
  {
    "path": "Examples/profiler_examples/internal/ImageNet Experiments.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"#  Copyright (c) 2020 LG Electronics Inc.\\n\",\n    \"#  SPDX-License-Identifier: GPL-3.0-or-later\\n\",\n    \"# ImageNet Experiments with MobileNet Inference using Profiler\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"output_type\": \"error\",\n     \"ename\": \"SyntaxError\",\n     \"evalue\": \"invalid syntax (<ipython-input-2-cc0a05a592e8>, line 1)\",\n     \"traceback\": [\n      \"\\u001b[0;36m  File \\u001b[0;32m\\\"<ipython-input-2-cc0a05a592e8>\\\"\\u001b[0;36m, line \\u001b[0;32m1\\u001b[0m\\n\\u001b[0;31m    We performed many ImageNet Experiments in the inference mode under different Compute constraints using Profiler. We used different MobileNet versions for the experiments detailed in https://www.tensorflow.org/lite/guide/hosted_models.\\u001b[0m\\n\\u001b[0m               ^\\u001b[0m\\n\\u001b[0;31mSyntaxError\\u001b[0m\\u001b[0;31m:\\u001b[0m invalid syntax\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"We performed many ImageNet Experiments in the inference mode under different Compute constraints using Profiler. We used different MobileNet versions for the experiments detailed in https://www.tensorflow.org/lite/guide/hosted_models.\\n\",\n    \"\\n\",\n    \"The source code used for Inference is available at 'https://gitlab.lgsvl.net/jason.liu/compression/tree/compression_profiler/src/mobilenet' \\n\",\n    \"and specifically 'test_perf.py'\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"The experimental settings used 'Mobilenet_V1_0.25_224', 'Mobilenet_V1_0.50_224', 'Mobilenet_V1_0.75_224', 'Mobilenet_V1_1.0_224'. The CPU contraints were 4, 2, 1, 0.5 and Inference was performed with 500 and 5000 iterations over a single validation TFrecord.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"We recorded the time taken for the inference process to finish per each iteration under these conditions and observed the following results\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Iter = 5000\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"| Exp   |      Mob 1.0      |  Mob 0.75  |Mob 0.5   |Mob 0.25   |\\n\",\n    \"|----------|:-------------:|:-------------:|:-------------:|:-------------:|\\n\",\n    \"|  CPU = 4  |  0.02016684028 | 0.01380343905 | 0.008244011551 | 0.004547368029 |\\n\",\n    \"| CPU = 2   |   0.02899219721 | 0.01863248097 | 0.01087483355 |0.005579292277 |\\n\",\n    \"| CPU = 1  |   0.05820066958 | 0.03714312666 | 0.02166576314 | 0.0111540261   |\\n\",\n    \"| CPU = 0.5  |   0.1165416765 | 0.07581892986 | 0.04407729727 | 0.02251805596 |\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<IPython.core.display.Image object>\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"from IPython.display import Image\\n\",\n    \"Image(filename='exp_img/5000_1.png') \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/plain\": [\n       \"<IPython.core.display.Image object>\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Image(filename='exp_img/5000_2.png') \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<IPython.core.display.Image object>\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Image(filename='exp_img/5000_3.png') \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Iter = 500\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"| Exp   |      Mob 1.0      |  Mob 0.75  |Mob 0.5   |Mob 0.25   |\\n\",\n    \"|----------|:-------------:|:-------------:|:-------------:|:-------------:|\\n\",\n    \"|  CPU = 4  |  0.02051069524 | 0.01426426142 | 0.008495391378 | 0.004515069188 |\\n\",\n    \"| CPU = 2   | 0.02922545242 | 0.01855015136 | 0.01072093597 | 0.005292796298 |\\n\",\n    \"| CPU = 1  |  0.05900840658 | 0.03781192797 | 0.02081295101 | 0.01101532969 |\\n\",\n    \"| CPU = 0.5  |  0.1174173313 | 0.07161711947 | 0.04177759899 | 0.02059194843 |\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<IPython.core.display.Image object>\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Image(filename='exp_img/500_1.png') \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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cGMuuEmkzJDlgNeXvH2o7h2/tICVgNfXtH247B7Z2ammpXXHFF6LnPP//ctS7WRgFMrXHhrY4AAQs4RNRKpFvA1bWgD2WdSPSzbz2K5wQ0fPhwd1u/Wpp015/uSDv11FPdnVvJEN6CNXLkSDd1g2RnZ7vb6pctW8b2rsf2jrUdg9v7YAasplq/w7djcHtrrFXPnj0tJSUldBehpnWIFOx0t60CmIKlbgzROgMELOAw0RgNdXeoW0hX+xoU/MQTT9SYJyjWCUgtAfpA//73v+9eQ2M/XnnllaStY3jA0tgsDUYWdSVGajHQOrG94xdrOwa395EWsI6E+h2+HcO39wcffGB9+vRxrW6661Ahz/vBD37g7jSUiRMn2o9+9CM78cQTbeDAgdxRCAIWAAAAAQsAAAAELAAAAAIWAAAAAQsAAAAELAAAAAIWAAAAAQsAAAAELAAAAAIWAAAAAQsAAICABQAAAAIWAAAAAQsAAICABQAAAAIWAAAAAQsAAICAlZBx48ZZx44d7ZhjjrE+ffrY+vXrIy43dOhQa9asWaj06tWLvQMAAAhY4ebNm2fdunVzoSovL8+GDRtm5557bsRl+/bta6mpqewRAABAwEpEVlaWtWjRwsrLy2s81759e/c8AAAAASsBs2bNstNPP73G49nZ2S549evXz1q3bm29e/e2tWvXsncAAAABK5ZNmza5sVgLFiyo8VxaWpq1adPG/Zubm2vDhw+3Hj16RGzpAgAAIGBV2LBhg5188sk2derUuJYvKSmxli1bWkZGRsTnMzMzLT09nUKhUCgUCiVpRfniiAlYa9assa5du9qcOXPi/p2CggJr3ry5bdu2jQgMAABowQravXu3de7c2RYvXhxzuRkzZliXLl1sxYoVlpOTY0OGDHFTOgAAABCwwowaNara3Fa+7Nu3zz3frl07S0lJcf8fM2aMdejQwVq1amX9+/dPajMdAABAowlYAAAABCwAAAAQsAAAAAhYAAAABCwAAAAQsAAAAAhYAAAABCwAAAAQsAAAAAhYAAAABCwAAAAQsAAAAAhYAAAABCwAAAACFgAAAAhYAAAABCwAAAACFgAAAAhYAAAABCwAAAACFgAAAAhYAAAABCwAAAACFgAAAAELAAAABCwAAAACFgAAAAELAAAABCwAAAACFgAAAAELAAA0HuXFxVZekM+GIGABAICYoWnfXivdutn2f5puRYvftsKUWZb//BTb+/A4yx0z0rLvuNF2//Yy23nJ/9iOvmdY4fw5bDQCFgAATU/Z7l1WsnG9C00KRAWzplnes0/a3ofGWM7I2yz71mtdaNrxk7NdaIq7VCxf+ObrbGACFgAAjUNpVqaVfPG5FX+41IWm/BeftbynH3GhSa1Me/5wle266uLEAlNFUcuUwpZeQy1WarlSC5ZastSipZCmFi61dKEJBKxx48ZZx44d7ZhjjrE+ffrY+vXr2Ts44rim+YoPzVrL5o3uQy6eog/eeEr+tOfdh6gvuirV48UfLw99oOq9NeYCwEE4/gvy3TG2/7NPrOi9he4Y1LG4b/J4yx33p8quud9daTsv75NwaNp1ZT/bPXiAe4294++xfU9MrDzOdYwvS7P9n3/G8U3AqmnevHnWrVs3F6ry8vJs2LBhdu6557J3DuUHQ8VBGVcwqOrXj6cUvTU3rmBQMP3FasEgWvFXdrWWig8ffQjFU/Rhpyu92oofq9CYyq4BF1Ve5d567YEr3Yrtp+2s7V3w2vQDH94V+7Nk/ReVH+Bc9aIJKcvJDl0Q6TNNx4Ubz6SuuT8Ns+z/d33lZ8TPzkv4GNTv7bnht5Zz5y2Vx94zj7vPQ39hpGOubMd2dgIBK3mysrKsRYsWVl5ezh6qhfrhYwaDOlwpUepefNN8raXqSjSeEleorPpwDgZS/7g+vINhMuExGtH+1oq65U8Qen2dbPR++x77W2VAqzpRFL2bWhm6q66wNZYEOKyhqSK0KLwoxPjWXx0//nhRnXbHSqLHREXIchctFaHLHw/+YsUfBwprCm0gYB0Ws2bNstNPP529EwcdvEk5WVZ9MMRT4g4G4++JLxhUtZjUVvwJu7aiq8x4W9l8t1ltpTHexqyg47ozKoKPuzqvOAEEuxoVlEJX6VXjQZLZmheqcxXBzwW0qqt4P15E41H8Pg3tr6r9gYCSbCsvzLDynGVWvmehlWc+b2Vbp1jZhrFW9sUdVrb691b6ycVW+lFfK13ao/Lfz35rZWtvq1zm62etfMfrVp6d5l7HSvcdsS3wqstqcXX12NfhqhZtXdSom61OFxJVdVTdfP4CQt1/6gZUd2Bj/YxAIwtYmzZtcmOxFixYEHWZzMxMS09Pp1SUzxc9a+tS77cvUyfY56lTbNWCf9uK1Nfsk9T5rny8ZDHbiXJQiuqW6tjKlNds1fSptvqFf9qapx+3LyY/ZOvG/8W+GjvKNv7xNsu4fYhtvv63tvWaX1rWgIss64q+SWsxdK9XUbb84TfuPTLuvNW957r77nHr8MXfJ7l1WjX1BbeOK+bOcev80bJlDW97frjYVixPsdXL/m1rl02xr94fZxvev9e2pN1omUuusR2LL7fdi/6vZS880/LfOcHy3+5gJW/910EpxW8dYwXvfNdyF/7Qvafee2va9Zbx3p0V6zTGrd+qD6bbig/nH9T69em8N91++/y5Z9y+1D7dcPfttum269z+1r7f3r93wvUmsyJofX315e41VF9UV7+ccH+orqx8bZarJxznTa8oXzTKgLVhwwY7+eSTberUqUTfeFshKq5Ao35QLmxrpWknWekHvSqvWj+93F3Nhq5cN010V7vl216uvPLVFbCuYIu2sGFxyFod/PgWfyeVHxjsb0EPjamrGutSl66bmAOH1c150+8ij0ObNa2yVVQtFYFxaDG7eEr3VbYo5aZXHldZ/3GtRO6Y+/KuyhalimPRHZPvdbOSJSfULxC9+63K43z5WZWvueoaK/v8hurH+M43Ktdl36oD67T50cpl/Pqk/497nZJ3/lfi67C4o5Uu+8GB91fLWcVrh967qnWsbNfXMaca0H6o61QDfjyhXsftw4rX1ev7Fm29L93TaJItWGvWrLGuXbvanDlMeJbQSarig7Ja878+ICs+cJNyJft2q8oPbhW9fkVxAU3lq3sOdC/oQ3TX/MoP7ry1R2w3A448vssw/MYKdS/6iRWrjUMbPCDuAck7f9rLdv3iB7b7Nz1tz7WnWM6tXSz39u/Z3r981/aNO97yJ/5vK3i6nRW+2M6KX/227Z9dz+OuItjEHZQK1h/cC6GywsqQqGCk91S3o9aj4uJM6+U/bxSsEv07989racUzj7HC59pY/hNt3XbUNs2960TLue0kt613Dfi+7f71ObVPNcBNFyBgxbZ7927r3LmzLV68mD2STPt3Vn5I7v208kNZ4yz0QbnliepX0yt/XfmB+eF5lQGtDh+aUcui/1O9FW3FL2hFwyFu5i2sfhyorlUFhtJVw6w0/Te2P61fRV09s+Ki4kQrWVC/rjcfIIqmHmuFz37L8h89LhQi9o7u5EJazo1dK4PEVT+0PTf2C43xCd7UEJpuI3wcWtW4QSstPTgXbX6qAQXWOKca2PXziiD669Pc36S/L3fkCbZvbMfKEDrlv63whTZum5Sktkh8my45IdQ65j479Lm18f4DF3b+M6O8hLoOAla4UaNGWbNmzWqUfftoBTm8zWMllSemiqtld2KqGkAbuppV0RW2QtrHP63eilaXboZEW9H8OvhWtN1vV29FqzixohHWR9/NtX1WZV2sONm6FtXgxYJOyKqHyah7/uJAA8N9vct4qPK9N79kpetnWckXqbb/45TQAGt/K7+fWsQHEz/btqbISFo351UXh+5c8wOxg3eVqsUnON3GQZlq4KbfxT/VgO9CrbroC3WfqnWsYhuHWscqLs7q3F3qL+Z8C+DWKQcu4tT6V3HxCTSJgIUm0Irmx6P4VjQ//uNQtqL5rhffilY1TiTUiqYTdrAVrTiL/ddQglJF2Kl3UPJjhCpeO9TN7VtC/L7XOh3C1pDQOLSq+eX8tAG+1Sg43UZo7rYkj0OLNdVA7j0jDvtUA6HWR11AqZ5UHK9l60cduDtSx3Ud60goQFdcIIZax6rCs2sd0+eW6gNAwEKjb0Wr+pCt1opW1aIVakV7r9vBaUXT69KKVvPkp781GJ4rTlChwdO+RUInsUYclA4ntQ752cMjjUNT117o++oa+1QDmrLCf1ZU1IXQdBVrbj4Q2nVjwcK2idc/3TTkPwNU9ypeM9Q65uudWsdKmOMKBCw0FcVZ1VvRfIuJb0XzcwX5D2B/RZzMVjTdZRVsRfPhwLeiVaxLtYDgr5wPUStawkGpnuHVbQs/J5NvUVSrhL/zzHfnqOWC7l4czHqvY02tVb7O+1Z1XbD5+l7XiwEd759cfKB++9ZyXYj5ug0CFtBk+UHSh7MVzd9h5q+gfZdGoBXNr1OoFc3f/aUularxcqE7wAhKQGI03MF/BlTU69DNQjquKuq+Owbqehe3hjHEmgRW78nd2QQsADFa0fxs274VzYcf34rmP6h9K1pdBvrWpehOLR/e/HxpupL3H/JZ/6nessYHPRCjaazkwPHuW8c0xtC3jlWNL6zTHGi+dUzjVf2xqm5y3wpe1UXOndgELADx8K1ovhvPD/j1d2AFW9GqxokRlIAj6ALMH9uaBNa3jvmLrvpOAutbxzS3WlXrWHASWMaNEbAAAOBiK9IksF/ccWAIgFrHEhhDqkAHAhYAAIhX0ZYDU6L4m3v8dCj6iqQPz3NDFkDAAgAAIGABAAAQsAAAAEDAAgAAIGABAAAQsAAAAEDAAgAAIGABAAAQsAAAAEDAAgAAIGABAAAQsAAAAAhYAAAAIGABAAAQsAAAAAhYAAAAIGABAAAQsAAAAAhYAAAAIGABAAAQsAAAAAhYAAAAIGABAAAQsAAAAAhYAAAABKyDb8SIETZ+/Piozw8dOtSaNWsWKr169WLvAAAAAlYkhYWFNmzYMBeaYgWsvn37WmpqKnsEAAAQsGozcOBAGzBggPs3VsBq3769ZWVlsUcAAAABqzY+NN1yyy1RA1Z2dra1aNHC+vXrZ61bt7bevXvb2rVr2TsAAICAFUusgJWWlmZt2rRx/+bm5trw4cOtR48eVl5ezh4CAAAErLoErHAlJSXWsmVLy8jIiPh8ZmampaenUygUCoVCoSStKF806oBVUFBgzZs3t23bthGBAQAALVh1CVgzZsywLl262IoVKywnJ8eGDBliffr0Ye8AAAACVqIBq127dpaSkuL+P2bMGOvQoYO1atXK+vfvn9RmOgAAgEYZsAAAAAhYOCKs21Zm764usU8zSm3DjjLLyuHOSwAACFiol+cX77c+9+XVKJc9nG9XP55vt71QaH+cVmgPphTZM+8U24tp+23+yhJL+6LUhbKte8osJ59QBgAAAQshCkt/fbXIhr1YaIOfKrBfP5ofMXDFU345Od8GPVHgXusvs4pcKFOAm76sMpR9tLHUVm+tbCUrKCaUAQBAwGpi9hWWuyCkVqql60pdQJr2/n57dmGxC06jXi50QUqtXD+fVLdQ1m98nvv9G/5RGcruf73IHp1f7EJZyscl9tZnlV2X6sak6xIAQMBCk7Rjb7lt2lXmQtGiNSX25qclLiz9fUFlKBsxtdBuerbAhaqLHqxbK9nFf6vsurz1uYJQ1+VTb1WGsvCuy915hDIAAAELTUxpmbmWqbWZlaFMAem19P0uLE2aWxTquvzDlMpQloyuyz/PKKzRdbn8q1L7bHMpXZcAAAIWmibfdalApGAU3nWpAFXfrksV/b6Cne+6VOBTKFMADO+6VFAEAICAhSZFXYXBrkuFMoUldS36rkt1OSpUqQuyvl2Xer3wrku9r95f60HXJQCAgIUmx3ddqoVKoUgtVsGuS7VoJaPrUi1s+v1g16Va4tQiF951qZY7AAABC2hSNHYrvOtSY7wUyoJdlxoLpjFhyei61Bi1YNel3lOBUGPa6LoEAAIW0CSpq1B3OyoU6e7H8K5L3SVZ365L3a2p39fdm77rUnd16n10l2ew61J3gQIACFhAkxPedan5whSWNH+Y77rUvGIKVZpnrD5dl34mf71msKjlTEEtWPx4s2CZtbyyVS1YfKALFj/5bLAQ9gAQsAA0WL7rUiFGM+mHd11qxv1kdF0equKDX7AQAgEQsAA0ePpuSR8iNKYsPGzoy8HDQ4kPbcHiJ5gNFh/ogsV3gwZLfb6yiRBICAQIWACQgPAAQQg8tCFwwhtFoW2nMXz+btfgvHB8+TtAwAIAQuBBKv67RoPhzQc2f6OF/zYFP3mv/5orbbPiEuoSCFgAgCYQAv33i/oxfP5u1+C8cPX5BoVI5bKH86tNT+LvhvXzxvkvhw9+F6mfqoQuUhCwAACNip+wVyU8sPmWOj8lib8D1n/NVX2+ED5aUWue/7aF4OS+ugNX6/Ji2oGxbrohxE9fwkS/IGABABodf9PFhh2V05P4u2H9vHH+GxYUlka9XBnSNO+bwlSy74z1X4nlvzzef1ep3vuZd4qr3ZTgb0Tw38agAhCwAACNig85utsy+L2k/muwFJB816MPT4Ofqt9Ev9GKgp9eV3PW6X0UDMNvIvAhkpsICFgAADRqfl45/+XxKj4I6TtE/aS/wRsRgjcfHKybCMLv+ox1E4EPmtxEQMACAKBR0ddkKeRoML5Cz9J1lUHNfzNDQ7mJwK8LNxEQsAAAaBLUAhXvTQRq2TqYNxGomxUELAAAUCX8JgKN+Ur0JgItCwIWAAAAAQsAAICABQAAAAIWAAAAAQsAAICABQAAAAIWAAAAAQsAAICABQAAgCMhYI0YMcLGjx/PngEAAASs+iosLLRhw4ZZs2bNCFgAAICAlQwDBw60AQMGuH8JWAAAgICVBFlZWe7fW265hYAFAAAIWMkUT8DKzMy09PR0CoVCoVAolKQV5YsmHbAAAABowSJgAQAAAhYBCwAAgIAFAABAwAIAACBgAQAAgIAFAABAwAIAACBgAQAAgIAFAABAwAIAACBgAQAAELAAAABAwAIAACBgAQAAELAAAABAwAIAACBgAQAAELAAAABAwAIAACBgAQAAELAAAABAwAIAACBgAQAAELAAAAAIWAAAACBgAQAAELAAAAAIWAAAACBgAQAAELAAAAAIWAAAACBgAQAAELAAAAAIWAAAACBgAQAAELAAAAAIWLZw4ULr3r27HX300TZo0CArKiqKuNzQoUOtWbNmodKrVy/2DgAAIGCFy8/Pt+OOO85mzpxpu3btsksvvdRGjx4dcdm+fftaamoqewQAABCwYklJSbGzzz479PPKlSutU6dOEZdt3769ZWVlsUcAAAABK5aJEyfa4MGDQz+re1Ddf3l5edWWy87OthYtWli/fv2sdevW1rt3b1u7di17BwAAELDCjR071m6++eZqjx111FG2c+fOao+lpaVZmzZt3L+5ubk2fPhw69Gjh5WXl7OHAAAAAStowoQJdu2114Z+9i1YBQUFMX+vpKTEWrZsaRkZGRGfz8zMtPT0dAqFQqFQKJSkFeWLIyJgzZ49284///zQzytWrLCOHTvW+nsKYM2bN7dt27YRgQEAAC1YQRpr1bZtW5s+fXroLsIRI0bUWG7GjBnWpUsXF8BycnJsyJAh1qdPH/YOAAAgYEWyZMkS69mzpxu8PmDAADd1g9euXTt3p6GMGTPGOnToYK1atbL+/fsntZkOAACgUQUsAAAAAhYAAAAIWAAAAAQsAAAAAhYAAAAIWAAAAAQsAAAAAhYAAAAIWAAAAAQsAAAAAhYAAAABCwAAAAQsAAAAAhYAAAABCwAAAAQsAAAAAhYAAAABCwAAAAQsAAAAAhYAAAABCwAAAAQsAAAAAhYAAAABCwAAgIAFAAAAAhYAAAABCwAAgIAFAAAAAhYAAAABCwAAgIAFAAAAAhYAAAABCwAAgICVBAsXLrTu3bvb0UcfbYMGDbKioiL2DgAAIGDVVX5+vh133HE2c+ZM27Vrl1166aU2evRo9g4AACBg1VVKSoqdffbZoZ9XrlxpnTp1Yu8AAAACVl1NnDjRBg8eHPpZ3YPNmjWzvLw89hAAACBg1cXYsWPt5ptvrvbYUUcdZTt37mQPAQAAAlZdTJgwwa699trQz74Fq6CgIOLyTz/9tPXq1YtCoVAoFAolaUX5olEFrNmzZ9v5558f+nnFihXWsWNH4i8AAKAFq6401qpt27Y2ffr00F2EI0aMYO8AAAACVn0sWbLEevbsaa1bt7YBAwa4qRsAAAAIWAAAACBgAQAAELAAAAAIWAAAAAQsHCRbtmxx83udc845NZ77/e9/757LysqK+RpLly61bt26JfS+uiNz/PjxUZ/ni7Ybdz2IZ/9OmjTJvW940brK0KFDqz2u+WLQtOoI9YC6EDRu3Dg3ndIxxxxjffr0sfXr11NPCFiH90Bp3ry5denSxTZv3hx6vLi42M4999ykHyiFhYU2bNgw97rRAhZftN2460Fd96++WeG6664L/dy3b19LTU1l5zXxOkI9oC7IvHnz3OspVGmaJZ1ntC7UEwLWYT9Q7rjjDvf9i54mWh05cmS1A+X111+3U045xY499li75JJLbOvWraED5aSTTrLrr7/evvWtb9mFF15omzZtivh+AwcOdFNe6N9oAYsv2m7c9aAu+1dTprRv39727t0bekw/1/YhjsZfR6gH1IVI9P4tWrSw8vJy6gkB6/AeKIsWLapWia+++mpbtmxZ6EBZt26dffvb33ZXCdnZ2XbTTTfZBRdcEDpQtNwDDzxgOTk57spBzbPRKr3ccsstUQMWX7TduOtBXfavrkSffPLJ0M96b3149uvXz81T17t3b1u7di07sonVEeoBdSGaWbNm2emnn049IWAd/gOltLTUNcOquVfft9i1a1eX/P2Bou9mVN+3p2VatmxpX3/9tTtQ1O/trxTUpKvX1EETTayAxRdtN+56kOj+/eCDD9y3Kqh72UtLS7M2bdq4f3Nzc2348OHWo0eP0HujadQR6gF1IRK1hOm1FyxYQD0hYB3+A0V0lfDwww+7rwe68cYbK3dG1YFy++231+j3Pv7442358uXuQAn2dYtOiLGuEGIFrES/aBtHVj1IdP/eeuutrr7EUlJS4j64MzIy2JlNsI5QD6gL3oYNG+zkk0+2qVOnUk8IWA3nQHnttdfcXSG/+MUvXJNu8EBRM27wSkRXG6qgGzdudAfKiSeeGHpO42T0mrGacGMFLL5ou3HXg0T3r8Zp+PWIRh+2eq9t27axM5tgHaEeUBdkzZo1rhVtzpw51BMCVsM6UFTp1D/drl07dzdI8ED58ssv3SDF+fPnuyZc9aX7/m3fl/7oo4+6vm5dxVxxxRUx3zdWwOKLtht3PUhk/+7Zs8e9ZmZmZrXHZ8yY4e5g0oet1mPIkCFRx/2h8dYR6gF1wdu9e7d17tzZFi9eTD0hYDW8A0Uuv/xyu+qqqw7sjMDdIK+88kpoLpKf/OQn7irEHyhnnHGGXXnlle5A69+/v23fvj3hgKUDVHeMCF+03bjrQaz9G6wHH3/8sRs7EcmYMWOsQ4cO1qpVK/de4SEMTaOOUA+oC6oLo0aNijhv3r59+6gnBCwAAAACFgAAAAELAACAgAUAAAACFgAAAAELAACAgAUAAAACFgAAAAELAACAgAUAAAACFgAAAAELAACAgAUAAAACFgAAAAELAACAgAUAAEDAAgAAAAELAACAgAUAAEDAAgAAAAELAACAgAUAAEDAAoBk279/v5WXl7MhABCwAKA+OnfubO+++66VlZXZqaeeaoWFhYfkfYcOHWrNmjULlV69eoWeW7hwoXXv3t2OPvpoGzRokBUVFcX1HAAQsAA0qIBVUlLigs6hClh9+/a11NTUGo/n5+fbcccdZzNnzrRdu3bZpZdeaqNHj671OQAgYAFocAHrrLPOCrUmZWVl2YIFC+y0006zb37zm/bLX/7S9uzZ45ZfunSpnXnmmXb22Wfb8ccfbwUFBXV63/bt27v3CZeSkuJe21u5cqV16tSp1ucAgIAFoMEFrGAL1tdff23HHnusvfrqq5aTk+O6866++upQwNJyc+bMse3bt1d7rRkzZlTr9vNl2rRp1ZbLzs62Fi1aWL9+/ax169bWu3dvW7t2rXtu4sSJNnjw4NCy6gLUa+Tl5cV8DgAIWAAadMB6/PHHXfebp645BaLi4mIXsL7zne/U6z3T0tKsTZs27t/c3FwbPny49ejRww2wHzt2rN18883Vlj/qqKNs586dMZ8DAAIWgAYdsEaOHBmxJWrdunUuYGkwfDLpvVu2bGkZGRk2YcIEu/baa0PP+VYqdUXGeg4ACFgAGnTAmjx5srtDLxIFLLU2RRJvF2E4BaTmzZvbtm3bbPbs2Xb++eeHnluxYoV17NjR/T/WcwBAwALQ4AKWfOMb37BNmzbZhg0bXBfe3LlzXRfeM88844KM5smKFbDipSDWpUsXF5A0xmvIkCHWp08f95zGU7Vt29amT58eulNwxIgRtT4HAAQsAA0yYGkgu7rqVq9ebW+++ab17NnTzTd1xhlnWHp6ulsmGQFLxowZYx06dLBWrVpZ//79LTMzM/TckiVL3HtrAPyAAQPcGLB4ngMAAhYAAAABCwAAgIAFAABAwAIAAAABCwAAgIAFAABAwAIAAAABCwAAgIAFAABAwAIAAAABCwAAgIAFAABAwAIAAAABCwAAgIAFAABAwAIAACBgAQAAgIAFAABAwAIAACBgAQAAgIAFAABAwAIAAGgc/j/6nduJQXFJCgAAAABJRU5ErkJggg==\\n\",\n      \"text/plain\": [\n       \"<IPython.core.display.Image object>\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Image(filename='exp_img/500_2.png') \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<IPython.core.display.Image object>\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Image(filename='exp_img/500_3.png') \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Caveat - \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"An important factor to note about these results is that the code used reaches a threshold at CPU=4 where despite availablability of further resources, The average CPU utilization is throttled at (270% , 300%) range. Hence the code cannot scale beyond more computation resources. This is reflected in the results as well, where CPU = 4 becomes an outlier/\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.7.3-final\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}"
  },
  {
    "path": "Examples/profiler_examples/issues.md",
    "content": "# Known issues\n\n+ Remove any dangling Dockerfiles in the profiler directory before executing Profiler as they might interfere.\n \n+ Once Docker has started running, if you hit Ctrl+Z, you will only exit from the Profiler script. Docker will continue to run in the background until completion unless you stop the Docker process separately."
  },
  {
    "path": "Examples/profiler_examples/mnist/mnist.py",
    "content": "\"\"\" Convolutional Neural Network.\nBuild and train a convolutional neural network with TensorFlow.\nThis example is using the MNIST database of handwritten digits\n(http://yann.lecun.com/exdb/mnist/)\nThis example is using TensorFlow layers API, see 'convolutional_network_raw' \nexample for a raw implementation with variables.\nAuthor: Aymeric Damien\nProject: https://github.com/aymericdamien/TensorFlow-Examples/\n\"\"\"\nfrom __future__ import division, print_function, absolute_import\n\n# Import MNIST data\nfrom tensorflow.examples.tutorials.mnist import input_data\nmnist = input_data.read_data_sets(\"/mnist_data\", one_hot=False)\n\nimport tensorflow as tf\n\n# Training Parameters\nlearning_rate = 0.001\nnum_steps = 2000\nbatch_size = 128\n\n# Network Parameters\nnum_input = 784 # MNIST data input (img shape: 28*28)\nnum_classes = 10 # MNIST total classes (0-9 digits)\ndropout = 0.25 # Dropout, probability to drop a unit\n\n\n# Create the neural network\ndef conv_net(x_dict, n_classes, dropout, reuse, is_training):\n    # Define a scope for reusing the variables\n    with tf.variable_scope('ConvNet', reuse=reuse):\n        # TF Estimator input is a dict, in case of multiple inputs\n        x = x_dict['images']\n\n        # MNIST data input is a 1-D vector of 784 features (28*28 pixels)\n        # Reshape to match picture format [Height x Width x Channel]\n        # Tensor input become 4-D: [Batch Size, Height, Width, Channel]\n        x = tf.reshape(x, shape=[-1, 28, 28, 1])\n\n        # Convolution Layer with 32 filters and a kernel size of 5\n        conv1 = tf.layers.conv2d(x, 32, 5, activation=tf.nn.relu)\n        # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n        conv1 = tf.layers.max_pooling2d(conv1, 2, 2)\n\n        # Convolution Layer with 64 filters and a kernel size of 3\n        conv2 = tf.layers.conv2d(conv1, 64, 3, activation=tf.nn.relu)\n        # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n        conv2 = tf.layers.max_pooling2d(conv2, 2, 2)\n\n        # Flatten the data to a 1-D vector for the fully connected layer\n        fc1 = tf.contrib.layers.flatten(conv2)\n\n        # Fully connected layer (in tf contrib folder for now)\n        fc1 = tf.layers.dense(fc1, 1024)\n        # Apply Dropout (if is_training is False, dropout is not applied)\n        fc1 = tf.layers.dropout(fc1, rate=dropout, training=is_training)\n\n        # Output layer, class prediction\n        out = tf.layers.dense(fc1, n_classes)\n\n    return out\n\n\n# Define the model function (following TF Estimator Template)\ndef model_fn(features, labels, mode):\n    # Build the neural network\n    # Because Dropout have different behavior at training and prediction time, we\n    # need to create 2 distinct computation graphs that still share the same weights.\n    logits_train = conv_net(features, num_classes, dropout, reuse=False,\n                            is_training=True)\n    logits_test = conv_net(features, num_classes, dropout, reuse=True,\n                           is_training=False)\n\n    # Predictions\n    pred_classes = tf.argmax(logits_test, axis=1)\n    pred_probas = tf.nn.softmax(logits_test)\n\n    # If prediction mode, early return\n    if mode == tf.estimator.ModeKeys.PREDICT:\n        return tf.estimator.EstimatorSpec(mode, predictions=pred_classes)\n\n        # Define loss and optimizer\n    loss_op = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(\n        logits=logits_train, labels=tf.cast(labels, dtype=tf.int32)))\n    optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate)\n    train_op = optimizer.minimize(loss_op,\n                                  global_step=tf.train.get_global_step())\n\n    # Evaluate the accuracy of the model\n    acc_op = tf.metrics.accuracy(labels=labels, predictions=pred_classes)\n\n    # TF Estimators requires to return a EstimatorSpec, that specify\n    # the different ops for training, evaluating, ...\n    estim_specs = tf.estimator.EstimatorSpec(\n        mode=mode,\n        predictions=pred_classes,\n        loss=loss_op,\n        train_op=train_op,\n        eval_metric_ops={'accuracy': acc_op})\n\n    return estim_specs\n\n# Build the Estimator\nmodel = tf.estimator.Estimator(model_fn)\n\n# Define the input function for training\ninput_fn = tf.estimator.inputs.numpy_input_fn(\n    x={'images': mnist.train.images}, y=mnist.train.labels,\n    batch_size=batch_size, num_epochs=None, shuffle=True)\n# Train the Model\nmodel.train(input_fn, steps=num_steps)\n\n# Evaluate the Model\n# Define the input function for evaluating\ninput_fn = tf.estimator.inputs.numpy_input_fn(\n    x={'images': mnist.test.images}, y=mnist.test.labels,\n    batch_size=batch_size, shuffle=False)\n# Use the Estimator 'evaluate' method\ne = model.evaluate(input_fn)\n\nprint(\"Testing Accuracy:\", e['accuracy'])\n"
  },
  {
    "path": "Examples/profiler_examples/model_names.txt",
    "content": "mobilenet_v1_0.75_224.tflite\nmobilenet_v1_1.0_224.tflite\n"
  },
  {
    "path": "Examples/quad_equation_min/QUAD_MIN_Demo.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Minimum of quadratic function Demo\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"In this tutorial we will show how to find the minimum of a quadratic function using Auptimizer. We also demonstrate how to effectively switch between various HPO proposers such as Spearmint and BOHB.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Running the Experiments \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"In this experiment we try to find the best X such that f(X) is minimal.\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Each instance of 'quad_min.py' would accept an X that calculates the value of the quadratic function. The ‘quad_min_[proposer].json’ file contains code to perform HPO using CPU resources and consider 50 samples for each proposer. We can easily switch between proposers and see how they choose different configurations to optimize the final performance.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"To run the experiment use command- \\n\",\n    \"\\n\",\n    \"'python3 -m aup quad_min_[proposer].json' \\n\",\n    \"\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Analysis \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"We next analyze the experiment results using the sqlite database for our experiments. The details for the experiment can be found inn the jobs profile, but here we aim to compare the proposers. Experiment 1 is performed using BOHB, then random and finally Spearmint.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"'''\\n\",\n    \"Connect to the Auptimizer database\\n\",\n    \"''' \\n\",\n    \"\\n\",\n    \"import sqlite3\\n\",\n    \"import time\\n\",\n    \"import datetime\\n\",\n    \"import random\\n\",\n    \"\\n\",\n    \"conn = sqlite3.connect('sqlite3.db')\\n\",\n    \"c = conn.cursor()\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"'''\\n\",\n    \"Function to compile and return details from a Auptimizer experiment. \\n\",\n    \"Takes experiment id as input, returns score, jobs ran for the experiments, and end time for each job.\\n\",\n    \"''' \\n\",\n    \"\\n\",\n    \"def graph_data(ex, cursor):\\n\",\n    \"    cursor.execute('SELECT score, jid, end_time FROM job WHERE typeof(score)==\\\\'real\\\\' and eid = '+ str(ex))\\n\",\n    \"    data = cursor.fetchall()\\n\",\n    \"\\n\",\n    \"    jobs = []\\n\",\n    \"    score = []\\n\",\n    \"    times =[]\\n\",\n    \"    \\n\",\n    \"    for row in data:\\n\",\n    \"        times.append(row[2])\\n\",\n    \"        jobs.append(row[1])\\n\",\n    \"        score.append(row[0])\\n\",\n    \"\\n\",\n    \"    times = [a-min(times) for a in times] \\n\",\n    \"    jobs = [a-min(jobs) for a in jobs]\\n\",\n    \"    \\n\",\n    \"    print(score)\\n\",\n    \"    print(jobs)\\n\",\n    \"    \\n\",\n    \"    return (score, times, jobs)\\n\",\n    \"    \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[6148.106139221136, 10438.637919012073, 7415.6298730541, 6060.406530867955, 3664.920102436913, 8514.390146411502, 3909.7273413323915, 16227.975850616904, 18949.333977751823, 3002.7529813288706, 12791.65578998259, 5710.14811693708, 6586.3076663701, 17482.08784937461, 106.05097215471763, 157.98208630594334, 11.44000290631149, 14146.904978499952, 12357.080808454182, 15445.805059455917, 19541.970126709333, 13032.9272883446, 4347.975242825175, 12432.524670292085, 288.5003098979952, 8357.696833979042, 422.36446655402744, 18209.8318006542, 5559.088337974499, 3511.112188373727, 1431.0292860232905, 12232.83011505206, 4248.207908109023, 6595.336180527122, 10.303060762137134, 7785.924535077077, 7646.9372673592525, 7768.255367710197, 18174.35420915232, 9487.559731339637, 2639.9754755905624, 3899.819338147345, 9932.534803401542, 77.10024584741284, 9073.377353360214, 9179.004614490392, 906.1092905253714, 342.22184461100574, 2032.997899250835, 2701.989279003208, 6636.2871314115855, 3927.859009848557, 19933.46377839, 215.54895165905884, 893.2290434271752, 533.9755569510351, 8705.582990730807, 1312.0236859821218, 4439.427923863416, 1221.9944362568633, 518.6856445554187, 251.65086979919593, 8791.639549216163, 392.6665611417196, 791.5276376934777, 2776.9202466736824, 13754.657682272258, 195.46347563258027, 14328.398330600858, 191.5105114029914, 19455.857917184265, 4484.071823536638, 19467.877481863343, 7466.92897242087, 11153.010073705345, 34.43100582618657, 1634.8474324227357, 297.8520463070646, 1792.335336437659, 290.69212600328666, 2066.013595105786, 3504.3653315921824, 87.0522160740486, 9786.218811810271, 6552.901115759534, 1440.0451339462006, 5588.933496367393, 183.1439686948838, 6770.736489897746, 17622.0922085697, 2073.62099265998, 9090.897825009191, 357.4965426541574, 10471.869381877272, 1711.8875991265356, 687.7722504762877, 7021.3354179159505, 11.34880226594397, 14022.162352737285, 3.5498130271587858, 9376.498124625585, 1490.493642592927, 11030.590123862217, 18891.41025923904, 1265.537535038463, 6775.692304218736, 7154.279454332183, 6684.18871558561, 1018.4139931903604, 18522.62131186837, 4081.8903679691225, 14619.248688302143, 9985.2121771267, 1808.0392280530514, 13514.669117373822, 3210.637205107219, 15842.046702461934, 6896.490066536726, 15864.782780740976, 9787.899266421542, 10734.424903633586, 5130.655824921306, 18652.484890178817, 8464.286331511501, 3668.3825908448157, 7505.175120324333, 10.615665529087309, 1858.6082438067806, 8894.885290153567, 1719.826661417118, 7795.502523945654, 3753.8567029765054, 377.5424368139047, 1818.313802637847, 6630.89370838516, 7126.0629089348, 6732.689324891997, 8708.048088287565, 8678.819442186163, 3800.3583189517426, 16402.1418816525, 2759.445461044005, 3879.035911233086, 16233.447387479662, 13263.35435616637, 10111.45733426073, 208.04684124025985, 17251.935746920182, 10410.989214492674, 20358.080378288647, 458.77450320056, 15378.921455929238, 541.7934658303482, 7733.6948016532115, 315.8909810941599, 14674.544558677915, 13300.387110585678, 6610.811025411567, 3385.7156422877497, 100.70466265645877, 9926.773443429818, 4199.811088150739, 10639.974218597716, 15317.215264171993, 19418.50430156459, 14945.51176006914, 5.8995577127201795, 2646.8769892878286, 10875.044685497587, 604.076534276305, 5541.817516386234, 63.33929155979352, 819.1516406209234, 10.099046262581181, 12855.46321611145, 1026.102509359792, 2436.4013161142993, 17576.054370302154, 10126.56525189996, 23.781863082338973, 556.4872180953723, 7883.074702833368, 6800.900393126976, 1157.7102730040097, 17809.063707527817, 7693.719488126548, 5856.484798397378, 7102.869103694476, 10878.960987263978, 1988.4120955376934, 3238.4494536360403, 901.489808070223, 710.3931786214773, 18198.403582086852, 11161.675591300796, 4910.797895877393, 1058.2386603574305, 1323.052678739327, 71.8013571039346, 3853.320648659735]\\n\",\n      \"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199]\\n\",\n      \"[3.1, 3.1, 5103.6, 11479.225, 1278.225, 20402.609597487746, 255.96139678955078, 3.1000760033726693, 14.541851735115051, 118.45974311828613, 91.58624259978532, 130.55955605059862, 19.182313656806947, 91.25851605683565, 93.73128578662872, 81.09230492860078, 67.8494772747159, 78.19406831860542, 90.44185981750488, 90.60488705188035, 92.24351976662874, 93.89735315591096, 101.00944475680589, 96.91255895644426, 94.89694951325654, 85.93881199359893, 78.11853996701538, 79.8653064802289, 83.57548712044954, 90.27898458987474, 100.83699310421943, 91.42230332493781, 96.40660450458526, 84.35946190953254, 85.147236867249, 100.7508242804557, 103.52707547731697, 92.90322904139757, 94.64653740115463, 88.01469211131334, 83.41914818286895, 87.05340145379304, 73.72963020801544, 90.11626136898994, 99.46285212635993, 61.423164105415346, 79.10337266921997, 107.31894074231386, 97.08151445388793, 57.62550358325243]\\n\",\n      \"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49]\\n\",\n      \"[18979.21737542377, 10497.40426337924, 9084.777253670089, 1626.7190672055335, 14096.376058669908, 268.50144260897343, 18979.21737542377, 9877.485035005397, 1556.5394610585156, 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275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"'''\\n\",\n    \"Compile results for grid search, random, spearmint, hyperband, hyperopt Proposers\\n\",\n    \"''' \\n\",\n    \"\\n\",\n    \"s_ran, t_ran, j_ran = graph_data(2, c)\\n\",\n    \"s_spe, t_spe, j_spe = graph_data(3, c)\\n\",\n    \"s_bohb, t_bohb, j_bohb = graph_data(1, c)\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Visualization\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"We can easily visualize the performance of the hyperparameter optimization algorithms for our current experiment and how configurations can affect the final performance. In the plots below we compare job performance and time with accuracy achieved. \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<Figure size 2000x1500 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"'''\\n\",\n    \"Plots for the experiment results\\n\",\n    \"'''\\n\",\n    \"\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"\\n\",\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"plt.plot(j_bohb, s_bohb)\\n\",\n    \"plt.plot(j_ran, s_ran)\\n\",\n    \"plt.plot(j_spe, s_spe)\\n\",\n    \"\\n\",\n    \"plt.legend(['y = bohb','y = random', 'y = spearmint'], loc='upper left')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using various proposers on Quad min')\\n\",\n    \"plt.xlabel('Jobs')\\n\",\n    \"plt.ylabel('Accuracy')\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 1440x1080 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"'''\\n\",\n    \"Plots for the experiment results\\n\",\n    \"'''\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"\\n\",\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"plt.plot(t_bohb, s_bohb)\\n\",\n    \"plt.plot(t_ran, s_ran)\\n\",\n    \"plt.plot(t_spe, s_spe)\\n\",\n    \"\\n\",\n    \"plt.legend(['y = bohb','y = random', 'y = spearmint'], loc='upper left')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using various proposers on Quad min')\\n\",\n    \"plt.xlabel('Time')\\n\",\n    \"plt.ylabel('AMC score (less is better)')\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 1440x1080 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"'''\\n\",\n    \"Plots for the experiment results\\n\",\n    \"'''\\n\",\n    \"\\n\",\n    \"import sys\\n\",\n    \"\\n\",\n    \"def min_so_far(arr):\\n\",\n    \"    mmin=float('inf')\\n\",\n    \"    new_arr=[]\\n\",\n    \"    for _,x in enumerate(arr):\\n\",\n    \"        if x<mmin:\\n\",\n    \"            mmin=x\\n\",\n    \"        new_arr.append(mmin)\\n\",\n    \"    return new_arr\\n\",\n    \"\\n\",\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"plt.plot(j_bohb, min_so_far(s_bohb))\\n\",\n    \"plt.plot(j_ran, min_so_far(s_ran))\\n\",\n    \"plt.plot(j_spe, min_so_far(s_spe))\\n\",\n    \"\\n\",\n    \"plt.legend(['y = bohb','y = random', 'y = spearmint'], loc='upper left')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using various proposers on Quad Min')\\n\",\n    \"plt.xlabel('Jobs')\\n\",\n    \"plt.ylabel('Min score')\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Using early stop to accelerate experiment convergence \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"In order to use the early stop functionality, please check Examples/early_stopping/README.md. We will next compare\\n\",\n    \"the efficiency of early stop with 3 policies: truncation, median and bandit.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[3.1986507685687813, 3.1240212831079313]\\n\",\n      \"[0, 7]\\n\",\n      \"[11588.561807897513, 10264.661252507878, 13259.660327218779, 9756.147263836081, 192.30551743308826, 54.01004445189671, 10.657509615206326, 3.542402417237454]\\n\",\n      \"[0, 1, 2, 3, 4, 13, 66, 81]\\n\",\n      \"[196.24204025146446, 46.05975048965503, 23.17190918287609, 3.2179274925402535, 9.197393904968242]\\n\",\n      \"[0, 1, 2, 10, 69]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"conn2 = sqlite3.connect('../early_stopping/quad_equation_min/sqlite3.db')\\n\",\n    \"c2 = conn2.cursor()\\n\",\n    \"\\n\",\n    \"s_bohb_median, t_bohb_median, j_bohb_median = graph_data(7, c2)\\n\",\n    \"s_bohb_bandit, t_bohb_bandit, j_bohb_bandit = graph_data(8, c2)\\n\",\n    \"s_bohb_trunc, t_bohb_trunc, j_bohb_trunc = graph_data(5, c2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 1440x1080 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"plt.plot(t_bohb_median, min_so_far(s_bohb_median))\\n\",\n    \"plt.plot(t_bohb_bandit, min_so_far(s_bohb_bandit))\\n\",\n    \"plt.plot(t_bohb_trunc, min_so_far(s_bohb_trunc))\\n\",\n    \"plt.plot(t_bohb, min_so_far(s_bohb))\\n\",\n    \"\\n\",\n    \"plt.legend(['y = bohb_median','y = bohb_bandit', 'y = bohb_trunc', 'y = bohb'], loc='lower right')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using ES with various policies on Quad min')\\n\",\n    \"plt.xlabel('Time')\\n\",\n    \"plt.ylabel('Min res')\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[6060.406530867955, 3664.920102436913, 3909.7273413323915, 3002.7529813288706, 106.05097215471763, 157.98208630594334, 11.44000290631149, 288.5003098979952, 422.36446655402744, 10.303060762137134, 77.10024584741284, 215.54895165905884, 251.65086979919593, 195.46347563258027, 191.5105114029914, 34.43100582618657, 87.0522160740486, 183.1439686948838, 11.34880226594397, 3.5498130271587858, 10.615665529087309, 100.70466265645877, 5.8995577127201795, 63.33929155979352, 10.099046262581181, 23.781863082338973, 71.8013571039346]\\n\",\n      \"[0, 1, 3, 6, 11, 12, 13, 21, 23, 31, 40, 50, 58, 64, 66, 72, 79, 84, 94, 96, 123, 156, 163, 168, 170, 176, 195]\\n\",\n      \"[6060.406530867955, 3664.920102436913, 3002.7529813288706, 106.05097215471763, 157.98208630594334, 11.44000290631149, 10.303060762137134, 77.10024584741284, 34.43100582618657, 11.34880226594397, 3.5498130271587858, 10.615665529087309, 5.8995577127201795, 10.099046262581181]\\n\",\n      \"[0, 1, 6, 11, 12, 13, 31, 40, 72, 94, 96, 123, 163, 170]\\n\",\n      \"[6148.106139221136, 7415.6298730541, 6060.406530867955, 3664.920102436913, 3909.7273413323915, 3002.7529813288706, 106.05097215471763, 157.98208630594334, 11.44000290631149, 10.303060762137134, 11.34880226594397, 3.5498130271587858]\\n\",\n      \"[0, 2, 3, 4, 6, 9, 14, 15, 16, 34, 97, 99]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"s_random_median, t_random_median, j_random_median = graph_data(2, c2)\\n\",\n    \"s_random_trunc, t_random_trunc, j_random_trunc = graph_data(6, c2)\\n\",\n    \"s_random_bandit, t_random_bandit, j_random_bandit = graph_data(1, c2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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     \"text/plain\": [\n       \"<Figure size 1440x1080 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"plt.plot(t_random_median, min_so_far(s_random_median))\\n\",\n    \"plt.plot(t_random_bandit, min_so_far(s_random_bandit))\\n\",\n    \"plt.plot(t_random_trunc, min_so_far(s_random_trunc))\\n\",\n    \"plt.plot(t_ran, min_so_far(s_ran))\\n\",\n    \"\\n\",\n    \"plt.legend(['y = random_median','y = random_bandit', 'y = random_trunc', 'y = random'], loc='lower right')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using ES with various policies on Quad min')\\n\",\n    \"plt.xlabel('Time')\\n\",\n    \"plt.ylabel('Min res')\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[3.1, 3.1]\\n\",\n      \"[0, 1]\\n\",\n      \"[6148.106139221136, 7415.6298730541, 6060.406530867955, 3664.920102436913, 3909.7273413323915, 3002.7529813288706, 106.05097215471763, 157.98208630594334, 11.44000290631149, 10.303060762137134, 11.34880226594397, 3.5498130271587858]\\n\",\n      \"[0, 2, 3, 4, 6, 9, 14, 15, 16, 34, 97, 99]\\n\",\n      \"[11588.561807897513, 10264.661252507878, 13259.660327218779, 9756.147263836081, 192.30551743308826, 54.01004445189671, 10.657509615206326, 3.542402417237454]\\n\",\n      \"[0, 1, 2, 3, 4, 13, 66, 81]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"s_spearmint_median, t_spearmint_median, j_spearmint_median = graph_data(9, c2)\\n\",\n    \"s_spearmint_trunc, t_spearmint_trunc, j_spearmint_trunc = graph_data(1, c2)\\n\",\n    \"s_spearmint_bandit, t_spearmint_bandit, j_spearmint_bandit = graph_data(8, c2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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uVypen66304+mroXpH8h6d9rIkT6iqr6muP9Zz0k0T/XQ/Te6idJ8Pm/uKp+Xgp6oePvXZcmW6wGut5/LX+kqeu6frpbTUq+xlSX61qnZU1+D719N9lh3KXyV5ZlXdpX/u7lkH9mxK/zr7yyR/UFWn9ePeWVUP6K8/qLqm65XkC+l6ra12Dq9P8pVV9ejqmsX/QJK7pZvCerhenK4v1d9W1+x7oR/P85L8bmvtC/1270/y6P6xPysHTrU9IV3AdlV1/aueNnXOF6Sbkv30qtpSVd+cA6cQAjAHBFEAHA9nJ/mfuem0vPTLXphuOsS29I2t+yBkqcH3ZekqBn4hh/5v1ar7S9cg/YJ0X0Y/koN/OZ/25CTPqKqr032hXKsZ9Zpaa3+Xrmrm5f30kw8neeDUJr+R5Ox+ys0jWmvnJvmRdE17r0w35ebxh3nYn0z3BfclSa5JN43nremqFab9Tbovf1ek6xf0mKl1B4zrMI+/lvula6j8qrrxl/PO69f9fLrQ7+p0X7xXNkk/6Jj6PksPTvfYXp6uZ9ljW2sfO9wB9l+in5zuMVyqqpn+Fb2zkpxXVdeka1z+yLZ6v661jnFeuobqL09X/XFNkkvTBTIH85Q68BcHl6Y/XZnuNfOJdEHeS9KFASurEJeOfW26huDn9Y9bkrwjyQWttUsPcuy/7S8/X1XvO8g2a2pd77h3JPnGHPjcHsl7dHq/b07XF+7V6R7LO+XG/klJ99j8Qrqg6+7pgrgl35DkXf1z+dokP91a++Qah3tbuvfkW9JNlXxTv/xZ6YKTDyb5ULrH91mr7uFAv5/u8+VN6Z675yfZvsp2v9gf953958ib04WJSdc8/c3pXkPvSPInrbV/WbmDvvfUg9JVIn0+3bTEB7XWDjmNbpV9fSldBduF6ULg69N9zvxhuv5YS3463fvyqnR9tP5+at0f9ud6ebrn/I0rDvPodOHoFek+p14UAOZKrd7TEACOXHUNZz+W5DbTU7Cq6q1JXtJa+6tjdJxjur8vB1X1wnS/rreeX/biOOunRl6VblripzZ6PByousbnn0qy0G76S5Vf9vrKwTekCxMff5Bm6QBwABVRABxT/RSen03y8hV9gIAkVfXgfprXzZP8XrpKmk9v7Kjg8PW/VPd96Rqv3/UQmwNAkmSy0QMAYH70X6wvSTfd5qwNHg4M1UPTTSmtdNO6HqmShLHqp7Q+Y6PHAcB4mJoHAAAAwEyYmgcAAADATHzZTc079dRT2xlnnLHRwwAAAACYG+9973svb63tONR2X3ZB1BlnnJFzzz13o4cBAAAAMDeq6oL1bGdqHgAAAAAzIYgCAAAAYCYEUQAAAADMhCAKAAAAgJkQRAEAAAAwE4IoAAAAAGbiuAVRVfWCqrq0qj48tex3q+pjVfXBqvq7qjppat0vV9X5VfVfVfWAqeVn9cvOr6pfmlp+x6p6V7/8FVW15XidCwAAAABH73hWRL0wyVkrlp2T5B6ttXsm+XiSX06SqrpbkkcmuXt/nz+pqs1VtTnJ/03ywCR3S/Koftsk+e0kf9Bau3OSK5M88TieCwAAAABH6bgFUa21tye5YsWyN7XW9vY335lkV3/9oUle3lr7UmvtU0nOT3Kv/t/5rbVPttb2JHl5kodWVSX5jiSv6u9/dpKHHa9zAQAAAODobWSPqB9O8ob++s4kF06t290vO9jyU5JcNRVqLS1fVVU9qarOrapzL7vssmM0fAAAAAAOx4YEUVX1K0n2JnnpLI7XWvuL1tqZrbUzd+zYMYtDAgAAALDCZNYHrKrHJ3lQkvu11lq/+KIkt5vabFe/LAdZ/vkkJ1XVpK+Kmt4eAAAAgAGaaUVUVZ2V5ClJHtJau25q1WuTPLKqtlbVHZPcJcm7k7wnyV36X8jbkq6h+Wv7AOtfknx/f//HJXnNrM4DAAAAgMN33IKoqnpZknckuWtV7a6qJyb54yQnJDmnqt5fVX+WJK2185K8MslHkrwxyU+01vb11U4/meSfknw0ySv7bZPkF5P8bFWdn65n1POP17kAAAAAcPTqxtlxXx7OPPPMdu655270MAAAAADmRlW9t7V25qG228hfzQMAAADgy4ggCgAAAICZEEQBAAAAMBOCKAAAAABmQhAFAAAAwEwIogAAAACYCUEUAAAAADMhiAIAAABgJgRRAAAAAMyEIAoAAACAmRBEAQAAADATgigAAAAAZkIQBQAAAMBMCKIAAAAAmAlBFAAAAAAzIYgCAAAAYCYEUQAAAADMhCAKAAAAgJkQRAEAAAAwE4KoMbr6kuQT5yRfunqjRwIAAACwboKoMbrwnclLvz+56jMbPRIAAACAdRNEAQAAADATgigAAAAAZkIQBQAAAMBMCKIAAAAAmAlBFAAAAAAzIYgCAAAAYCYEUQAAAADMhCAKAAAAgJkQRAEAAAAwE4IoAAAAAGZCEAUAAADATAiiAAAAAJgJQRQAAAAAMyGIAgAAAGAmBFEAAAAAzIQgCgAAAICZEEQBAAAAMBOCKAAAAABmQhAFAAAAwEwIogAAAACYCUEUAAAAADMhiAIAAABgJgRRAAAAAMyEIAoAAACAmRBEAQAAADATgigAAAAAZkIQBQAAAMBMCKIAAAAAmAlBFAAAAAAzIYgCAAAAYCYEUQAAAADMhCAKAAAAgJkQRAEAAAAwE4IoAAAAAGZCEAUAAADATAiiAAAAAJgJQRQAAAAAMyGIAgAAAGAmBFEAAAAAzIQgCgAAAICZEEQBAAAAMBOCKAAAAABmQhAFAAAAwEwIogAAAACYCUEUAAAAADMhiAIAAABgJgRRAAAAAMyEIAoAAACAmRBEAQAAADATgigAAAAAZkIQBQAAAMBMCKIAAAAAmAlBFAAAAAAzIYgCAAAAYCYEUQAAAADMhCAKAAAAgJkQRAEAAAAwE4IoAAAAAGZCEAUAAADATAiiAAAAAJgJQRQAAAAAMyGIAgAAAGAmBFEAAAAAzIQgCgAAAICZEEQBAAAAMBOCKAAAAABmQhAFAAAAwEwIogAAAACYCUEUAAAAADMhiAIAAABgJgRRAAAAAMyEIAoAAACAmRBEAQAAADATgigAAAAAZkIQBQAAAMBMCKIAAAAAmAlBFAAAAAAzIYgCAAAAYCYEUQAAAADMhCAKAAAAgJkQRAEAAAAwE4IoAAAAAGZCEAUAAADATAiiAAAAAJgJQRQAAAAAMyGIAgAAAGAmBFEAAAAAzIQgCgAAAICZEEQBAAAAMBOCKAAAAABmQhAFAAAAwEwIogAAAACYCUEUAAAAADMhiAIAAABgJgRRAAAAAMyEIAoAAACAmRBEAQAAADATgigAAAAAZuK4BVFV9YKqurSqPjy17FZVdU5VfaK/PLlfXlX1vKo6v6o+WFVfN3Wfx/Xbf6KqHje1/Our6kP9fZ5XVXW8zgUAAACAo3c8K6JemOSsFct+KclbWmt3SfKW/naSPDDJXfp/T0ryp0kXXCV5WpJ7J7lXkqcthVf9Nj8ydb+VxwIAAABgQI5bENVae3uSK1YsfmiSs/vrZyd52NTyF7XOO5OcVFW3TfKAJOe01q5orV2Z5JwkZ/Xrbtlae2drrSV50dS+AAAAABigWfeIunVr7eL++ueS3Lq/vjPJhVPb7e6XrbV89yrLV1VVT6qqc6vq3Msuu+zozgAAAACAI7Jhzcr7SqY2o2P9RWvtzNbamTt27JjFIQEAAABYYdZB1CX9tLr0l5f2yy9Kcrup7Xb1y9ZavmuV5QAAAAAM1KyDqNcmWfrlu8clec3U8sf2v553nyRf6Kfw/VOS+1fVyX2T8vsn+ad+3Rer6j79r+U9dmpfAAAAAAzQ5HjtuKpeluTbkpxaVbvT/frdbyV5ZVU9MckFSR7Rb/76JN+d5Pwk1yV5QpK01q6oqmcmeU+/3TNaa0sN0J+c7pf5tid5Q/8PAAAAgIE6bkFUa+1RB1l1v1W2bUl+4iD7eUGSF6yy/Nwk9ziaMQIAAAAwOxvWrBwAAACALy+CKAAAAABmQhAFAAAAwEwIogAAAACYCUEUAAAAADMhiAIAAABgJgRRAAAAAMyEIAoAAACAmRBEAQAAADATgqgxa22jRwAAAACwboKoMdq8pbvcv7ix4wAAAAA4DIKoMZps7S73fmljxwEAAABwGARRYzTZ1l0uXr+x4wAAAAA4DIKoMVoKolREAQAAACMiiBqj5SDqho0dBwAAAMBhEESNkR5RAAAAwAgJosZouSJKjygAAABgPARRY7SwvbtUEQUAAACMiCBqjJan5ukRBQAAAIyHIGqMNusRBQAAAIyPIGqMNk+STZNkUY8oAAAAYDwEUWM12aYiCgAAABgVQdRYTbbpEQUAAACMiiBqrFREAQAAACMjiBqrydZkrx5RAAAAwHgIosZKRRQAAAAwMoKosVrQIwoAAAAYF0HUWKmIAgAAAEZGEDVWk63Joh5RAAAAwHgIosZKRRQAAAAwMoKosZroEQUAAACMiyBqrFREAQAAACMjiBqrydZkrx5RAAAAwHgIosZKRRQAAAAwMoKosVrQIwoAAAAYF0HUWE22Jfv2JPv3b/RIAAAAANZFEDVWk63dpaooAAAAYCQEUWM12dZdCqIAAACAkRBEjdVyEKVhOQAAADAOgqixUhEFAAAAjIwgaqyWe0SpiAIAAADGQRA1VssVUddv7DgAAAAA1kkQNVYLekQBAAAA4yKIGis9ogAAAICREUSNlR5RAAAAwMgIosZqqSJqUY8oAAAAYBwEUWM10SMKAAAAGBdB1FjpEQUAAACMjCBqrFREAQAAACMjiBqr5WblekQBAAAA4yCIGisVUQAAAMDICKLGavMk2TTRIwoAAAAYDUHUmE22qYgCAAAARkMQNWaTrcmiHlEAAADAOAiixkxFFAAAADAigqgxm2zTIwoAAAAYDUHUmAmiAAAAgBERRI3ZZKsgCgAAABgNQdSY6REFAAAAjIggaswWTM0DAAAAxkMQNWZ6RAEAAAAjIogas8nWZFEQBQAAAIyDIGrM9IgCAAAARkQQNWam5gEAAAAjIogaMxVRAAAAwIgIosZssjXZe/1GjwIAAABgXQRRYzbZluzbk+zfv9EjAQAAADgkQdSYLWzrLveZngcAAAAMnyBqzCZ9EKVhOQAAADACgqgxm2ztLjUsBwAAAEZAEDVmSxVRixqWAwAAAMMniBqz5al5KqIAAACA4RNEjZkeUQAAAMCICKLGTI8oAAAAYEQEUWO2XBGlRxQAAAAwfIKoMVvQIwoAAAAYD0HUmOkRBQAAAIyIIGrM/GoeAAAAMCKCqDFbala+qEcUAAAAMHyCqDGbbO8uVUQBAAAAIyCIGrOliig9ogAAAIAREESNmR5RAAAAwIgIosZs8ySpzclePaIAAACA4RNEjd3CdhVRAAAAwCgIosZuslWPKAAAAGAUBFFjN9kmiAIAAABGQRA1dpOtyaIgCgAAABg+QdTYTbariAIAAABGQRA1dpOtmpUDAAAAoyCIGjs9ogAAAICREESNnV/NAwAAAEZCEDV2KqIAAACAkRBEjd3CNj2iAAAAgFEQRI2diigAAABgJARRYzfZmiwKogAAAIDhE0SN3cTUPAAAAGAcBFFjZ2oeAAAAMBKCqLGbbEv2fSlpbaNHAgAAALAmQdTYTbZ2l6bnAQAAAAMniBq7ybbucu/1GzsOAAAAgEMQRI3dwlIQpSIKAAAAGDZB1NgtV0RpWA4AAAAMmyBq7PSIAgAAAEZCEDV2SxVRi3pEAQAAAMMmiBq7iR5RAAAAwDgIosZOjygAAABgJARRY6ciCgAAABgJQdTYLTcr1yMKAAAAGDZB1NgtbO8uVUQBAAAAAyeIGrvliig9ogAAAIBhE0SNnR5RAAAAwEgIosZuqSJqUY8oAAAAYNgEUWM30SMKAAAAGAdB1NhtniS1WY8oAAAAYPAEUfNgsk0QBQAAAAyeIGoeTLYKogAAAIDBE0TNg4XtgigAAABg8ARR82CyVbNyAAAAYPAEUfNAjygAAABgBDYkiKqqn6mq86rqw1X1sqraVlV3rKp3VdX5VfWKqtrSb7u1v31+v/6Mqf38cr/8v6rqARtxLoMw2ZosCqIAAACAYZt5EFVVO5P8VJIzW2v3ubZjAAAgAElEQVT3SLI5ySOT/HaSP2it3TnJlUme2N/liUmu7Jf/Qb9dqupu/f3unuSsJH9SVZtneS6DMdEjCgAAABi+jZqaN0myvaomSW6W5OIk35HkVf36s5M8rL/+0P52+vX3q6rql7+8tfal1tqnkpyf5F4zGv+w6BEFAAAAjMDMg6jW2kVJfi/JZ9IFUF9I8t4kV7XW9vab7U6ys7++M8mF/X339tufMr18lfscoKqeVFXnVtW5l1122bE9oSHQIwoAAAAYgY2YmndyumqmOyY5PcnN002tO25aa3/RWjuztXbmjh07juehNsZkqyAKAAAAGLyNmJr3nUk+1Vq7rLW2mOT/JfmmJCf1U/WSZFeSi/rrFyW5XZL0609M8vnp5avc58uLiigAAABgBDYiiPpMkvtU1c36Xk/3S/KRJP+S5Pv7bR6X5DX99df2t9Ov/+fWWuuXP7L/Vb07JrlLknfP6ByGZWGbHlEAAADA4E0Ovcmx1Vp7V1W9Ksn7kuxN8p9J/iLJ65K8vKqe1S97fn+X5yd5cVWdn+SKdL+Ul9baeVX1ynQh1t4kP9Fa2zfTkxkKFVEAAADACMw8iEqS1trTkjxtxeJPZpVfvWut3ZDk4QfZz7OTPPuYD3Bs/GoeAAAAMAIbMTWPY22pIqq1jR4JAAAAwEEJoubBZFt3qSoKAAAAGDBB1DxYDqL0iQIAAACGSxA1DyZbu0sVUQAAAMCACaLmwXJF1PUbOw4AAACANQii5sGCHlEAAADA8Ami5oEeUQAAAMAICKLmgR5RAAAAwAgIoubBUkXUoh5RAAAAwHAJoubBZHt3qSIKAAAAGDBB1DxYnpqnRxQAAAAwXIKoeTDxq3kAAADA8Ami5sFyRZQeUQAAAMBwCaLmwYIeUQAAAMDwCaLmgR5RAAAAwAgIoubBco8oQRQAAAAwXIKoebBpktSmZFEQBQAAAAyXIGoeVCWT7SqiAAAAgEETRM2LyVbNygEAAIBBE0TNi8k2FVEAAADAoAmi5sVkqyAKAAAAGDRB1LxY0CMKAAAAGDZB1LzQIwoAAAAYOEHUvNAjCgAAABg4QdS8mGxNFgVRAAAAwHAJoubFRI8oAAAAYNgEUfNCjygAAABg4ARR80KPKAAAAGDgBFHzQkUUAAAAMHCCqHkx2ZbsvX6jRwEAAABwUIKoebGwTUUUAAAAMGiCqHmx1COqtY0eCQAAAMCqBFHzYrK1u9y3Z2PHAQAAAHAQgqh5MdnWXS7qEwUAAAAMkyBqXiwFUfpEAQAAAAMliJoXy0HUDRs7DgAAAICDEETNi6UeUSqiAAAAgIESRM2L5YooPaIAAACAYRJEzYsFPaIAAACAYRNEzQs9ogAAAICBE0TNC7+aBwAAAAycIGpeLDUrX9QjCgAAABgmQdS8mGzvLlVEAQAAAAMliJoXSxVRekQBAAAAAyWImhealQMAAAADJ4iaFyqiAAAAgIETRM2LhaUeUYIoAAAAYJgEUfNi0ySpTZqVAwAAAIMliJoXVV2fKBVRAAAAwEAJoubJZGuyKIgCAAAAhkkQNU8m21VEAQAAAIMliJonk616RAEAAACDJYiaJ3pEAQAAAAMmiJonk62CKAAAAGCwBFHzZEGPKAAAAGC4BFHzRI8oAAAAYMAEUfNEjygAAABgwARR80RFFAAAADBggqh5MtmeLF6/0aMAAAAAWJUgap6oiAIAAAAGTBA1T/SIAgAAAAZMEDVPVEQBAAAAAyaImieTbcne65PWNnokAAAAADchiJonC9u6y317NnYcAAAAAKsQRM2TSR9E6RMFAAAADJAgap5MtnaX+kQBAAAAAySImidLFVGL12/sOAAAAABWIYiaJ8tT81REAQAAAMMjiJonekQBAAAAAyaImicqogAAAIABE0TNk+Vm5XpEAQAAAMMjiJonC9u7SxVRAAAAwAAJoubJckWUHlEAAADA8Aii5okeUQAAAMCACaLmyVJF1KIeUQAAAMDwCKLmyWSpR5SpeQAAAMDwCKLmyXKPKFPzAAAAgOERRM2T5R5RKqIAAACA4RFEzZPNC0lKEAUAAAAMkiBqnlQlC9sFUQAAAMAgCaLmzWSrHlEAAADAIAmi5s1km4ooAAAAYJAEUfNmsjVZFEQBAAAAwyOImjcTPaIAAACAYRJEzRs9ogAAAICBEkTNGz2iAAAAgIESRM0bFVEAAADAQAmi5s3C9mTv9Rs9CgAAAICbEETNGxVRAAAAwEAJouaNHlEAAADAQAmi5o2KKAAAAGCgBFHzZrI9WdQjCgAAABgeQdS8UREFAAAADJQgat4s9YhqbaNHAgAAAHAAQdS8mWxN0pJ9ixs9EgAAAIADCKLmzcL27nKvPlEAAADAsAii5s1ka3epTxQAAAAwMIKoeTPZ1l3uvWFjxwEAAACwgiBq3iwHUSqiAAAAgGERRM2bpal5i3pEAQAAAMMiiJo3k6Vm5SqiAAAAgGERRM2b5WblekQBAAAAwyKImjd6RAEAAAADJYiaN8sVUXpEAQAAAMMiiJo3C3pEAQAAAMMkiJo3ekQBAAAAAyWImjfLPaIEUQAAAMCwCKLmzVJF1KIgCgAAABgWQdS8mSz1iBJEAQAAAMMiiJo3mxeSlGblAAAAwOAIouZNVdcnSkUUAAAAMDCTjR4Ah++qyy/KxZ94f3KHnTnxlqfl9FucfuAGk62CKAAAAGBwBFEj9OE3/k1OedYL8nNP3Jzdp23KPz/in3Pq9lNv3GBhuyAKAAAAGBxT80boDieekSR58J0elJaWa/Zcc+AGk616RAEAAACDI4gaoRO3nJgkudOJd159Az2iAAAAgAESRM0jFVEAAADAAAmi5tFke7J4/UaPAgAAAOAAgqh5pCIKAAAAGCBB1Aht2r4tSTK5YU+SZH/bf+AGekQBAAAAA3TIIKqqfqeqbllVC1X1lqq6rKoeczQHraqTqupVVfWxqvpoVd23qm5VVedU1Sf6y5P7bauqnldV51fVB6vq66b287h++09U1eOOZkxjsrBzZ5Jk66VfTJIs7l88cAMVUQAAAMAAraci6v6ttS8meVCSTye5c5JfOMrjPjfJG1tr/yPJVyf5aJJfSvKW1tpdkrylv50kD0xyl/7fk5L8aZJU1a2SPC3JvZPcK8nTlsKrebcURG255MokqwRRC9uTvXpEAQAAAMOyniBq0l9+T5K/ba194WgOWFUnJvmWJM9PktbantbaVUkemuTsfrOzkzysv/7QJC9qnXcmOamqbpvkAUnOaa1d0Vq7Msk5Sc46mrGNxaZt27L51FOzcGkXRO3Zt+fADVREAQAAAAO0niDqH6vqY0m+PslbqmpHkqNpQHTHJJcl+euq+s+q+ququnmSW7fWLu63+VySW/fXdya5cOr+u/tlB1t+E1X1pKo6t6rOveyyy45i6MOxZefOTD73+SSrTc3TIwoAAAAYnkMGUa21X0ryjUnObK0tJrkuXZXSkZok+bokf9pa+9ok1+bGaXhLx2xJ2lEc4wCttb9orZ3ZWjtzx44dx2q3G2ph165suvjyJCqiAAAAgHFYT7PymyV5cvreTElOT3LmURxzd5LdrbV39bdflS6YuqSfcpf+8tJ+/UVJbjd1/139soMt/7KwsGtX6tLLs2l/W6UianuyeH3SjlmWBwAAAHDU1jM176+T7ElXFZV0Yc+zjvSArbXPJbmwqu7aL7pfko8keW2SpV++e1yS1/TXX5vksf2v590nyRf6KXz/lOT+VXVy36T8/v2yLwsLu3Ym+/bnlC8me/avUhGVluxbXPW+AAAAABthcuhNcqfW2g9U1aOSpLV2XVXVUR73/yR5aVVtSfLJJE9IF4q9sqqemOSCJI/ot319ku9Ocn66aYFP6M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UMY71hGDs7H4d0HjcMw3jIMIw/GYax3TCM6V2udW3n+TsNw7g239/lpGWWxB5TLCwP2SEmogAAAAAAQNoKMREVlvT/ua47QdJZkr5tGMYESbdIesV13bGSXun8WZL+VtLYzj/XS/o3KRZcSbpD0ixJMyXdEQ+v0A8rHkSlXlhOEAUAAAAAANKV9yDKdd29ruu+3fn8sKQdkqokLZD0i87TfiHpG53PF0h6zI35b0mDDcMYJeliSetd1z3guu5fJa2XNC+PX+XklZiISq2wPGgH2ZoHAAAAAADSVtCOKMMwaiRNk/SWpJGu6+7tfGmfpJGdz6sk7e7ytubOY30d7+1zrjcMo9EwjMb9+/dnbf0nrQw6opiIAgAAAAAA6SpYEGUYRoWk/5R0k+u63cZsXNd1JbnZ+izXdR9xXbfWdd3a4cOHZ+uyJ680O6LiE1Gx/zwAAAAAAACpKUgQZRiGpVgI9aTrur/sPNzSueVOnY+fdB7fI2lMl7dXdx7r6zj6Y6bfERWOhtWW4pY+AAAAAAAAqTB3zTMkPSpph+u6P+7y0nOS4ne+u1bSr7ocv6bz7nlnSfqscwvfS5IuMgxjSGdJ+UWdx9CfeBDlpBYohQIhSWJ7HgAAAAAASItZgM+cLen/kfR7wzC2dR77oaT7JD1tGMY3JX0k6fLO134j6auS/iTpqKS/lyTXdQ8YhvEvkho6z1vmuu6B/HyFk1yaHVFBOygpFkSNLB/Zz9kAAAAAAADd5T2Icl13kySjj5frejnflfTtPq71c0k/z97qPCLNjqiQFZuI4s55AAAAAAAgHQW9ax4KxEqvI4qteQAAAAAAIBMEUV6UmIhKrSMqvjWPiSgAAAAAAJAOgigvyuCueRJBFAAAAAAASA9BlBclyspT64jqWlYOAAAAAACQKoIoL0pzIsryWSo1SwmiAAAAAABAWgiivMjnl3yW5KTWESXFpqLYmgcAAAAAANJBEOVVZknKE1GSFLJDTEQBAAAAAIC0EER5lRlIuSNKIogCAAAAAADpI4jyKqs0rYkotuYBAAAAAIB0EUR5lRmQwql3RDERBQAAAAAA0kUQ5VVpdkQxEQUAAAAAANJFEOVVaXZEBe2gWjtaFXWjOVgUAAAAAAAoZgRRXmWm1xEVskNy5arVac3BogAAAAAAQDEjiPIqMyA5qXdEBe2gJNETBQAAAAAAUkYQ5VVpdkSF7JAkgigAAAAAAJA6giivSrMjKhSIBVGH2iksBwAAAAAAqSGI8iorvY4otuYBAAAAAIB0EUR5lRmQwul3RB3qYCIKAAAAAACkhiDKqzLsiCKIAgAAAAAAqSKI8qo0O6LKrXIZMtiaBwAAAAAAUkYQ5VVmiRTpkKLRlN7mM3yqsCsIogAAAAAAQMoIorzKLIk9RtLbnsfWPAAAAAAAkCqCKK+KB1FO6oXlITvERBQAAAAAAEgZQZRXmYHYYxqF5UE7SBAFAAAAAABSRhDlVfGJqDQKy4N2kK15AAAAAAAgZQRRXmXFgyg6ogAAAAAAQH4QRHlVYiIq9Y4otuYBAAAAAIB0EER5VYYdUW3hNjlRJ8uLAgAAAAAAxYwgyqsy6IgK2SFJYioKAAAAAACkhCDKq8z0O6KCdlASQRQAAAAAAEgNQZRXxYMoJ/WOqPhE1KF2CssBAAAAAEDyCKK8KoOOqFCArXkAAAAAACB1BFFelUFHVNCKbc075DARBQAAAAAAkkcQ5VVWaewxg44otuYBAAAAAIBUEER5VWJrXhodUWzNAwAAAAAAaSCI8ip/+h1RJf4SmT6TIAoAAAAAAKSEIMqr/KbkM9PqiDIMQyE7pEMdbM0DAAAAAADJI4jyMrM0rYkoSQrZISaiAAAAAABASgiivMwMSE7qHVFSrLCcIAoAAAAAAKSCIMrLzJK0J6KCdpCteQAAAAAAICUEUV5mBtLqiJLYmgcAAAAAAFJHEOVlVmnaQRQTUQAAAAAAIFUEUV6WwURUPIhyXTfLiwIAAAAAAMWKIMrLMuiICtkhhaNhHYukF2QBAAAAAADvIYjysgwnoiTREwUAAAAAAJJGEOVlZvodUSE7JEk61E5PFAAAAAAASA5BlJeZAcnJLIg67DARBQAAAAAAkkMQ5WUZdESxNQ8AAAAAAKSKIMrLstAR9Vn7Z9lcEQAAAAAAKGIEUV5mlaZ/17xA59Y8JqIAAAAAAECSCKK8LJOJKIuteQAAAAAAIDUEUV5mlkiRdikaTfmtlt9SqVmqQx3cNQ8AAAAAACSHIMrLzEDsMZJ+YTkTUQAAAAAAIFkEUV5mlsYe09yeF7JDBFEAAAAAACBpBFFeFp+ISrOwPGgH2ZoHAAAAAACSRhDlZWZJ7NFpS+vtTEQBAAAAAIBUEER5GRNRAAAAAAAgjwiivCw+EZVmRxRBFAAAAAAASAVBlJdZ8SAqvYmokB1Sa0erom40i4sCAAAAAADFiiDKyxITUel1RAXtoFy5OuIcyeKiAAAAAABAsSKI8rIMO6JCdkiS2J4HAAAAAACSQhDlZRl2RMWDKO6cBwAAAAAAkkEQ5WVmZh1RQTsoiSAKAAAAAAAkhyDKy+JBlJN+R5QkHWpnax4AAAAAAOgfQZSXZTgRFQrQEQUAAAAAAJJHEOVlibLy9Dqi2JoHAAAAAABSQRDlZRlORFVYFTJkMBEFAAAAAACSQhDlZX5T8plSOL2OKJ/hU4VdwUQUAAAAAABICkGU15klaU9ESVLIDhFEAQAAAACApBBEeZ0ZSLsjSor1RLE1DwAAAAAAJIMgyuvM0oyCKCaiAAAAAABAsgiivM4MSA4TUQAAAAAAIPcIorzOLGFrHgAAAAAAyAuCKK8zA5SVAwAAAACAvCCI8jors46ooB1UW7hNTtTJ4qIAAAAAAEAxIojyuizcNU8SU1EAAAAAAKBfBFFel2FHVMgOSSKIAgAAAAAA/SOI8rosdERJBFEAAAAAAKB/BFFeZ2beESVJh9q5cx4AAAAAADgxgiivy9JE1CGHIAoAAAAAAJwYQZTXmSWSQ1k5AAAAAADIPYIor+OueQAAAAAAIE8IorzOKpUi7ZLrpvX2UrNUpmHSEQUAAAAAAPpFEOV1ZiD2mGZPlGEYCgVCTEQBAAAAAIB+EUR5nVkSewy3pX2JoB0kiAIAAAAAAP0iiPK6DCeiJCloBXWog615AAAAAADgxAiivM4sjT1mUFjO1jwAAAAAAJAMgiivy8ZElM1EFAAAAAAA6J9Z6AWgwOIdUU5mHVEEUQAAAAAw8DiOo+bmZh07lv4uGKCrkpISVVdXy7KstN5PEOV1WZiICtmxrXmu68owjCwtDAAAAACQqebmZgWDQdXU1PDvNWTMdV19+umnam5u1pe+9KW0rsHWPK9L3DUv/XQ8aAflRB21R9IPswAAAAAA2Xfs2DFVVlYSQiErDMNQZWVlRhN2BFFeZ8WDqMwmoiSxPQ8AAAAABiBCKGRTpn+fCKK8LjERlX5HVDyI4s55AAAAAADgRAiivM7MfCIqaAclEUQBAAAAAIATI4jyukRZeWYdURJb8wAAAAAA3nX22Wf3e86KFSt09OjRPKwmpr6+XuvWrZMkLVmyRE1NTXn77L4QRHmdWRp7pCMKAAAAAIBuIpFI0ue++eab/Z6T7yCqq5/97GeaMGFCQT67K7PQC0CBxSeinPQ7otiaBwAAAAAD352/fldNH2d3gGDC6JDu+PrEPl+//fbbNXToUN10002SpFtvvVUjRozQd7/73bQ/c+3atbrzzjvl9/s1aNAgvf7661q9erWeeeYZffbZZ9qzZ48WL16sO+64Q5L0xBNP6KGHHlJHR4dmzZqlf/3Xf5Xf79eNN96ohoYGtbW1adGiRbrzzjslSTU1Nbriiiu0fv16ff/739eqVas0bdo0bdy4UUeOHNFjjz2me++9V7///e91xRVX6K677pIkVVRUqLW1Va+99pp+9KMfadiwYXrnnXd05pln6oknntBPfvITffzxx5o7d66GDRumDRs29Pr9KioqdOONN+o3v/mNRo0apXvuuUff//739ec//1krVqzQ/PnzFYlEdMstt+i1115Te3u7vv3tb+uGG26Q67r6zne+o/Xr12vMmDGybTtx3Tlz5mj58uWqra094Xe/9tpr9etf/1qO42jt2rUaN25c2v+tesNElNdloSMqMRHVzkQUAAAAAOBz1113nR577DFJUjQa1VNPPaXFixf3OO/cc8/V1KlTe/x5+eWXe5y7bNkyvfTSS/qf//kfPffcc4njmzdv1n/+539q+/btWrt2rRobG7Vjxw6tWbNGb7zxhrZt2ya/368nn3xSknT33XersbFR27dv1+9+9ztt3749ca3Kykq9/fbbuvLKKyVJtm2rsbFR//iP/6gFCxbo4Ycf1jvvvKPVq1fr008/7bHGrVu3asWKFWpqatIHH3ygN954Q0uXLtXo0aO1YcOGPkMoSTpy5IjOP/98vfvuuwoGg7rtttu0fv16PfPMM7r99tslSY8++qgGDRqkhoYGNTQ06Kc//ak+/PBDPfPMM/rDH/6gpqYmPfbYY31OaZ3ouw8bNkxvv/22brzxRi1fvrzPdaaLiSiv85uS4c+oI8ryWyo1S5mIAgAAAIAB7ESTS7lSU1OjyspKbd26VS0tLZo2bZoqKyt7nLdx48akrzl79mzV19fr8ssv18KFCxPHL7zwwsS1Fy5cqE2bNsk0TW3ZskUzZsyQJLW1tWnEiBGSpKefflqPPPKIwuGw9u7dq6amJk2ePFmSdMUVV3T7zPnz50uSJk2apIkTJ2rUqFGSpFNPPVW7d+/u8Z1mzpyp6upqSdLUqVO1a9cunXPOOUl9P9u2NW/evMTnBQIBWZalSZMmadeuXZKk3/72t9q+fXui/+mzzz7Tzp079frrr+uqq66S3+/X6NGjdf755/f6GSf67vHf6Zlnnqlf/vKXSa05FQRRkKzSjIIoSQpaQR12CKIAAAAAAN0tWbJEq1ev1r59+3Tdddf1es65556rw4d7/pty+fLluuCCC7odW7Vqld566y09//zzOvPMM7VlyxZJkmEY3c4zDEOu6+raa6/Vvffe2+21Dz/8UMuXL1dDQ4OGDBmi+vp6HTv2+b+Ly8vLu50fCMRqbXw+X+J5/OdwONxj3V3P8fv9vZ7TF8uyEt+l6+d1/SzXdfWTn/xEF198cbf3/uY3v+n3+v199/jnpbruZLE1D7GeqEyDKDvI1jwAAAAAQA+XXnqpXnzxRTU0NPQITuI2btyobdu29fhzfAglSe+//75mzZqlZcuWafjw4dq9e7ckaf369Tpw4IDa2tr07LPPavbs2aqrq9O6dev0ySefSJIOHDigjz76SIcOHVJ5ebkGDRqklpYWvfDCC7n7BXQRDAZ7DdxSdfHFF+vf/u3f5DiOJOmPf/yjjhw5ovPOO09r1qxRJBLR3r17e90CWKjvHsdEFGI9URkGUaFAiK15AAAAAIAebNvW3LlzNXjwYPn9/oyv973vfU87d+6U67qqq6vTlClTtG3bNs2cOVOXXXaZmpubtXjxYtXW1kqS7rrrLl100UWKRqOyLEsPP/ywzjrrLE2bNk3jxo3TmDFjNHv27IzXlYzrr79e8+bNS3RFpWvJkiXatWuXpk+fLtd1NXz4cD377LO69NJL9eqrr2rChAk65ZRT9JWvfKXHe6dMmVKQ7x5nuK6b1w8stNraWrexsbHQyxhYHpomVZ0pXfaztC/x7Ve+rf1H9+vprz+dxYX11Lpxo3b/w/Wqeep/q3Tq1Jx+FgAAAACc7Hbs2KHx48cXdA3RaFTTp0/X2rVrNXbs2Jx8xurVq9XY2KiVK1fm5Prorre/V4ZhbHFdt7a/97I1D5KZhY4oO6hDHWzNAwAAAAB8rqmpSV/+8pdVV1eXsxAKJxe25iHWEeVkuDXPZmseAAAAAKC7CRMm6IMPPsj559TX16u+vj7nn5NNs2bNUnt7e7djjz/+uCZNmlSgFeUHQRSy0hEVtINqdVoVdaPyGQzaAQAAAABwIm+99Vahl1AQJAbovGtee//nnUDIDinqRnXEOZKlRQEAAAAAgGJDEAXJyrwjKmSHJInteQAAAAAAoE8EUcjKRFTQDkoiiAIAAAAAAH0jiIIUCEkH/yztXJ/2JeJBFHfOAwAAAAAAfSGIgnTu/ytVniY9uUh6+UdSJJzyJeJb8wiiAAAAAABedPbZZ/d7zooVK3T06NETnlNRUZGtJXVTX1+vdevWSZKWLFmipqYmSdI999yTk8/rC3fNgzSkRlrysvTiP0ubHpA++j/SokelQdVJX4KteQAAAAAwwL1wi7Tv99m95hcmSX97X3avOYBEIhH5/f6kzn3zzTf7PWfFihVavHixysrKMl1aRn72s58lnt9zzz364Q9/mLfPZiIKMVap9PUV0mWPSi3vSKvOkf74UtJvT2zNa2ciCgAAAAAQc/vtt2vFihWJn2+99VY9+OCDGV1z7dq1OuOMMzRlyhSdd955kqTVq1drwYIFmjNnjsaOHas777wzcf4TTzyhmTNnaurUqbrhhhsUiUQkSTfeeKNqa2s1ceJE3XHHHYnza2pq9IMf/EDTp0/X2rVrNWfOHN18882qra3V+PHj1dDQoIULF2rs2LG67bbbEu+LTzK99tprmjNnjhYtWqRx48bp6quvluu6euihh/Txxx9r7ty5mjt37gm/480336yJEyeqrq5O+/fvlyT99Kc/1YwZMzRlyhRddtllicmq+vp6LV26VGeffbZOPfXUxNST67r6p3/6J51++um64IIL9MknnySuP2fOHDU2NuqWW25RW1ubpk6dqquvvjrt/yapYCIK3U1aJI2aKq2tl/7jcunspVLd7ZLfOuHbgnZQhgwddpiIAgAAAIABqQCTS9ddd50WLlyom266SdFoVE899ZQ2b97c47xzzz1Xhw/3/Pfk8uXLdcEFF3Q7tmzZMr300kuqqqrSwYMHE8c3b96sd955R2VlZZoxY4YuueQSlZeXa82aNXrjjTdkWZa+9a1v6cknn9Q111yju+++W0OHDlUkElFdXZ22b9+uyZMnS5IqKyv19ttvS5JWrVol27bV2NioBx98UAsWLNCWLVs0dOhQnXbaabr55ptVWVnZbY1bt27Vu+++q9GjR2v27Nl64403tHTpUv34xz/Whg0bNGzYsD5/Z0eOHFFtba0eeOABLVu2THfeeadWrlyphQsX6h/+4R8kSbfddpseffRRfec735Ek7d27V5s2bdJ7772n+fPna9GiRXrmmWf0hz/8QU1NTWppadGECRN03XXXdfus++67TytXrtS2bdv6XE+2EUShp2Ffjm3Ve+mfpTcfkv7839Kin0uDx/T5Fp/hU4VVoVf+/Ir2H42ltYZh6O/+r7/ThMoJWV/i0a3bFBg7Vr7y8qxfGwAAAACQHTU1NaqsrNTWrVvV0tKiadOm9QhtJGnjxo1JX3P27Nmqr6/X5ZdfroULFyaOX3jhhYlrL1y4UJs2bZJpmtqyZYtmzJghSWpra9OIESMkSU8//bQeeeQRhcNh7d27V01NTYkg6oorruj2mfPnz5ckTZo0SRMnTtSoUaMkSaeeeqp2797d4zvNnDlT1dWxupupU6dq165dOuecc5L6fj6fL/H5ixcvTnzHd955R7fddpsOHjyo1tZWXXzxxYn3fOMb35DP59OECRPU0tIiSXr99dd11VVXye/3a/To0Tr//POT+vxcI4hC76wS6WsPSDXnSM99V/pf50rfWCWdPq/Pt5xbfa4a9jXo9ebXJUkH2w9q/9H9Wlm3MmvLsseMkX/IEH1y//3a/8ADKvvKWQrOPV8V58+V1fm/TAAAAAAAA8eSJUu0evVq7du3r8dETlwqE1GrVq3SW2+9peeff15nnnmmtmzZIik2DNGVYRhyXVfXXnut7r333m6vffjhh1q+fLkaGho0ZMgQ1dfX69ixY4nXy48beggEApJiIVH8efzncLjnDb+6nuP3+3s9J1nx3DiWLAAAGIRJREFU71VfX69nn31WU6ZM0erVq/Xaa6/1+nmu66b9WflARxRO7IzLpBt+Fysu/99XSL+9TYo4vZ56/3n369XLX038uXLclXrz4zfV2tGateXYNTUa+/rvdMrq1Rpy1ZXqeP8D7fvRj/Sn8/5GH15+hf6yapWO/fGPA/5/8AAAAADAKy699FK9+OKLamho6DbF09XGjRu1bdu2Hn+OD6Ek6f3339esWbO0bNkyDR8+XLt375YkrV+/XgcOHFBbW5ueffZZzZ49W3V1dVq3bl2iH+nAgQP66KOPdOjQIZWXl2vQoEFqaWnRCy+8kLtfQBfBYLDXwK2raDSa6Hn6j//4j8Qk1eHDhzVq1Cg5jqMnn3yy388677zztGbNGkUiEe3du1cbNmzo9TzLsuQ4vf87PxeYiEL/Kk+Tvvmy9NtbpTd/EtuqN/eHUiAUKzm3SiWr7PPHzj6pi754kR5vely/a/6dLjn1kqwtx7AslZ81S+VnzdKIW25R+86dan31VR1+5VXtX/Gg9q94UNaYMQqef74qzj9fZWdOl2HyVx0AAAAACsG2bc2dO1eDBw9O+g50J/K9731PO3fulOu6qqur05QpU7Rt2zbNnDlTl112mZqbm7V48WLV1tZKku666y5ddNFFikajsixLDz/8sM466yxNmzZN48aN05gxYzR79uyM15WM66+/XvPmzdPo0aP7DIbKy8u1efNm3XXXXRoxYoTWrFkjSfqXf/kXzZo1S8OHD9esWbP6DbQuvfRSvfrqq5owYYJOOeUUfeUrX+lzTZMnT9b06dOTCrgyZXhtcqS2ttZtbGws9DJOXu/8UnpuqdRxgr/wPkuyyhS1SnVhpa3JUVMPRIf2DKx6C7GSfc0skXw9B/qclk/UumGDDr/6io7+n/+W6zjyDxqkijl/o4q556v8nHPkr6BXCgAAAIA37NixQ+PHjy/oGqLRaOIOdGPHjs3JZ6xevVqNjY1auTJ71TDoW29/rwzD2OK6bm1/7z3px0QMw5gn6UFJfkk/c103/7cB8JIzFsZ6o/7yR8lpk5yjPR87Ys99zlGd39qkZ51PdNQIqizcLrW2dJ533HuURiBqHh9WlcqyyjTEKtWQuWWK/s10tX54VK3v/VWt61/UZ796TobpU9mEUxScMV4VsybLGvmFE4dffks6bp8xAAAAACA5TU1N+trXvqZLL700ZyEUTi4n9USUYRh+SX+UdKGkZkkNkq5yXbepr/cwEZVfm/du1jd/+03Nq5mnkWUjJcWK1gx1hjuGJFcy3IiMaESKOLHHqCMjGpYiYSkalhF1pEg4dizqyIh8/hg/pojz+WsRR0bUkRE/5jgKfeyqcpepoR+ZKj0Um6Y6PDyiwyMjcvtqSzMMSb7Y9JXhkwx/52P8mL/ncxmx9xm+zsfOaySed3lN6vK8n3Pj15bk5iIb6yVwMw1T5VaZyqxylVvlKjVL5Us1mMtZkJej6+ZqvTm7bm4um4v1Hl8emcUr5+iyJ9t1c3PZXK03Z38fcnLd3Ky1Yu4c2WP6viMtAADZ8N6HH2r8uHGFXgZ6cdZXvqL2jo5uxx5//HFNmjSpQCtKnpcnomZK+pPruh9IkmEYT0laIKnPIAr5NX3kdI0fOl6/a/5d4lg8/HTldnve9VFuz2PHn9snf+efbj+USEMlnSHJdVX9F6l2p6vandIpf0h2j7IrKf07HWSDkaPcuL9/YkUkHZJ0WIZsv538hXMVdOfoujmL5U+y30NOrnsyrRXIk/0rVhR6CQAADwg/vFLH+L+ZBqTXfv5z+SoqFKipKfRS8upkD6KqJO3u8nOzpFnHn2QYxvWSrpekU045JT8rgyTJ9Jl6+utP5+z6PYIs1+011Or2cy65rhSNSJGOzimtcOfz2JSWIo7kOp8/j09yReJTXR3HPXdi14t2SOO+Lg35Yu6/QxdHnCP65Ognajnaon1H9qnULNXXT/t6XtcAFJOcTSFz3dxdN0drbX3zTXW8/35Org0AQFd7QyFZI0cWehnog2Gn8P/oLxInexCVFNd1H5H0iBTbmlfg5SCL4ls7um31GxDKCr2ArLD9toaUDNHpQ08v9FKAonBybUdDLgXnzJHmzCn0MgAAHvDJjh0yhw8v9DKAhL6acU4WeyR1LVeo7jwGAAAAAACAAeZkD6IaJI01DONLhmHYkq6U9FyB1wQAAAAAAIBenNRBlOu6YUn/JOklSTskPe267ruFXRUAAAAAAPCas88+u99zVqxYoaNHj57wnHvuuSdbSxqQjJwVpw5QtbW1bmNjY6GXAQAAAABAzu3YsUPjx4+XJN2/+X69d+C9rF5/3NBx+sHMH2T1mgNJJBKR35/sndb7V1NTo8bGRg0bNqzPcyoqKtTa2trjuOvG7jzv8xV+pqjr36s4wzC2uK5b2997C796AAAAAABQlG6//XatWLEi8fOtt96qBx98MKNrrl27VmeccYamTJmi8847T5K0evVqLViwQHPmzNHYsWN15513Js5/4oknNHPmTE2dOlU33HCDIpGIJOnGG29UbW2tJk6cqDvuuCNxfk1NjX7wgx9o+vTpWrt2rebMmaObb75ZtbW1Gj9+vBoaGrRw4UKNHTtWt912W+J9FRUVkqTXXntNc+bM0aJFizRu3DhdffXVcl1XDz30kD7++GPNnTtXc+fO7fW73XLLLWpra9PUqVN19dVXa9euXTr99NN1zTXX6IwzztDu3bsTnyNJ69atU319vSSpvr5eS5cu1dlnn61TTz1V69atS5x3//33a9KkSZoyZYpuueWWjH7/mfLEXfMAAAAAAPC6QkwuXXfddVq4cKFuuukmRaNRPfXUU9q8eXOP884991wdPny4x/Hly5frggsu6HZs2bJleumll1RVVaWDBw8mjm/evFnvvPOOysrKNGPGDF1yySUqLy/XmjVr9MYbb8iyLH3rW9/Sk08+qWuuuUZ33323hg4dqkgkorq6Om3fvl2TJ0+WJFVWVurtt9+WJK1atUq2bauxsVEPPvigFixYoC1btmjo0KE67bTTdPPNN6uysrLbGrdu3ap3331Xo0eP1uzZs/XGG29o6dKl+vGPf6wNGzb0ORF13333aeXKldq2bZskadeuXdq5c6d+8Ytf6Kyzzur39713715t2rRJ7733nubPn69FixbphRde0K9+9Su99dZbKisr04EDB/q9Ti4RRAEAAAAAgJyoqalRZWWltm7dqpaWFk2bNq1HaCNJGzduTPqas2fPVn19vS6//HItXLgwcfzCCy9MXHvhwoXatGmTTNPUli1bNGPGDElSW1ubRowYIUl6+umn9cgjjygcDmvv3r1qampKBFFXXHFFt8+cP3++JGnSpEmaOHGiRo0aJUk69dRTtXv37h7faebMmaqurpYkTZ06Vbt27dI555yT9Hfs6otf/GJSIZQkfeMb35DP59OECRPU0tIiSXr55Zf193//9yorK5MkDR06NK11ZAtBFAAAAAAAyJklS5Zo9erV2rdvn6677rpez0llImrVqlV666239Pzzz+vMM8/Uli1bJEmGYXQ7zzAMua6ra6+9Vvfee2+31z788EMtX75cDQ0NGjJkiOrr63Xs2LHE6+Xl5d3ODwQCkiSfz5d4Hv85HA73WHfXc/x+f6/nJOv4tXT9nl3XfPznDtROcDqiAAAAAABAzlx66aV68cUX1dDQoIsvvrjXczZu3Kht27b1+HN8CCVJ77//vmbNmqVly5Zp+PDh2r17tyRp/fr1OnDggNra2vTss89q9uzZqqur07p16/TJJ59Ikg4cOKCPPvpIhw4dUnl5uQYNGqSWlha98MILufsFdBEMBnsN3LqyLEuO4/T5+siRI7Vjxw5Fo1E988wz/X7mhRdeqH//939P3K2PrXkAAAAAAKBo2batuXPnavDgwVm5A933vvc97dy5U67rqq6uTlOmTNG2bds0c+ZMXXbZZWpubtbixYtVWxu7gdtdd92liy66SNFoVJZl6eGHH9ZZZ52ladOmady4cRozZoxmz56d8bqScf3112vevHkaPXq0NmzY0Oc5kydP1vTp03X33Xf3eP2+++7T1772NQ0fPly1tbW93mGvq3nz5mnbtm2qra2Vbdv66le/qnvuuScr3ycdxkAd1cqV2tpat7GxsdDLAAAAAAAg53bs2KHx48cXdA3RaDRxB7qxY8fm5DNWr16txsZGrVy5MifXR3e9/b0yDGOL67q1/b2XrXkAAAAAACAnmpqa9OUvf1l1dXU5C6FwcmFrHgAAAAAAyIkJEybogw8+yPnn1NfXq76+Puefk02zZs1Se3t7t2OPP/64Jk2aVKAV5QdBFPD/t3f3MVaV+QHHvz+GgRGw6Mw4u8LQ4gsNYBRGXutgAqKGrhupSGSbpTJlDak2FUir2WqCYmBpE+K7lpitYV20CrvF3dQQJS5WxBSYEQoI26joBpC3woIg+ALz9I854IzQFcV7LsP9fpKbe57nPPfe352cH5z7u+d5riRJkiRJOVu5cmWxQygKp+ZJkiRJkiQpFxaiJEmSJEmSlAsLUZIkSZIkScqFhShJkiRJkqTTdNVVV33lmIcffphDhw7lEM2Zy0KUJEmSJEnSSRw9evSUx7755ptfOcZClL+aJ0mSJElSSdjxk5/w6abffqvP2blfX757zz3/7/4ZM2ZQWVnJtGnTALj33nupqalh6tSp3/g1Fy1axMyZMykrK6N79+68/vrrzJ8/n8WLF7N//362bdvGxIkTue+++wBYsGABjz76KJ999hnDhg3jySefpKysjNtvv53Vq1dz+PBhxo8fz8yZMwHo3bs3EyZMYOnSpdx9993MmzePuro6li9fzscff8wzzzzDnDlzWL9+PRMmTGDWrFkAdOvWjYMHD/Laa69x//33U11dzYYNGxg0aBALFizgscce48MPP2TUqFFUV1ezbNmyb/w3aM8sREmSJEmSpIKYPHky48aNY9q0aTQ3N/P888+zatWqE8ZdffXVHDhw4IT+uXPncu2117bpe+CBB3j55Zfp2bMn+/btO96/atUqNmzYQJcuXRgyZAg33HADXbt25YUXXmDFihWUl5dzxx138Oyzz3Lrrbcye/ZsKisrOXr0KKNHj2bdunVcccUVAFRVVfHWW28BMG/ePDp16kRjYyOPPPIIY8eOpampicrKSi655BKmT59OVVVVmxjXrFnD22+/TY8ePaivr2fFihXceeedPPjggyxbtozq6urT/tu2VxaiJEmSJEkqAX/oyqVC6d27N1VVVaxZs4adO3dSV1d3QtEGYPny5af8nPX19TQ0NHDLLbcwbty44/3XXXfd8eceN24cb7zxBh07dqSpqYkhQ4YAcPjwYWpqagBYuHAhTz31FEeOHGH79u1s3LjxeCFqwoQJbV7zxhtvBODyyy/nsssu48ILLwTg4osvZsuWLSe8p6FDh1JbWwvAwIED+eCDDxgxYsQpv8ezmYUoSZIkSZJUMLfddhvz589nx44dTJ48+aRjvs4VUfPmzWPlypW89NJLDBo0iKamJgAios24iCClxKRJk5gzZ06bfe+//z5z585l9erVnH/++TQ0NPDJJ58c39+1a9c24zt37gxAhw4djm8fax85cuSEuFuPKSsrO+mYUmUhSpIkSZIkFcxNN93EjBkz+Pzzz3nuuedOOubrXBH13nvvMWzYMIYNG8aSJUvYsmULAEuXLmXv3r2cc845vPjiizz99NN06dKFsWPHMn36dGpqati7dy8HDhzgo48+omvXrnTv3p2dO3eyZMkSRo4c+W283T/o3HPP5cCBA07NkyRJkiRJKoROnToxatQozjvvPMrKyk77+e666y7eeecdUkqMHj2aAQMGsHbtWoYOHcrNN9/M1q1bmThxIoMHDwZg1qxZXH/99TQ3N1NeXs4TTzzB8OHDqauro2/fvvTq1Yv6+vrTjutUTJkyhTFjxtCjR4+SXaw8UkrFjiFXgwcPTo2NjcUOQ5IkSZKkgtu0aRP9+vUragzNzc1ceeWVLFq0iD59+hTkNebPn09jYyOPP/54QZ5fbZ3suIqIppTS4K96bIeCRSVJkiRJkkraxo0bufTSSxk9enTBilBqX5yaJ0mSJEmSCqJ///5s3ry54K/T0NBAQ0NDwV9Hp88roiRJkiRJOouV2pI8KqzTPZ4sREmSJEmSdJaqqKhgz549FqP0rUgpsWfPHioqKr7xczg1T5IkSZKks1RtbS1bt25l9+7dxQ5FZ4mKigpqa2u/8eMtREmSJEmSdJYqLy/noosuKnYY0nFOzZMkSZIkSVIuLERJkiRJkiQpFxaiJEmSJEmSlIsotZXzI2I38Ltix/EtqAb+t9hBSGcQc0Jqy5yQ2jInpLbMCaktc+L0/UlK6YKvGlRyhaizRUQ0ppQGFzsO6UxhTkhtmRNSW+aE1JY5IbVlTuTHqXmSJEmSJEnKhYUoSZIkSZIk5cJCVPv1VLEDkM4w5oTUljkhtWVOSG2ZE1Jb5kROXCNKkiRJkiRJufCKKEmSJEmSJOXCQpQkSZIkSZJyYSGqHYqIMRHxPxHxbkT8uNjxSHmIiKcjYldEbGjVVxkRSyPinez+/Kw/IuLRLEfWRcSVxYtcKoyI6BURyyJiY0S8HRFTs37zQiUpIioiYlVE/HeWEzOz/osiYmV27L8QEZ2y/s5Z+91sf+9ixi8VQkSURcSaiPiPrG0+qKRFxAcRsT4i1kZEY9bnuVPOLES1MxFRBjwB/DnQH/jLiOhf3KikXMwHxnyp78fAqymlPsCrWRta8qNPdpsC/EtOMUp5OgL8fUqpPzAc+Nvs/wPzQqXqU+CalNIAYCAwJiKGA/8MPJRSuhT4PfCjbPyPgN9n/Q9l46SzzVRgU6u2+SDBqJTSwJTS4KztuVPOLES1P0OBd1NKm1NKnwHPA2OLHJNUcCml14G9X+oeC/ws2/4Z8Bet+p9JLf4LOC8iLswnUikfKaXtKaW3su0DtHzQ6Il5oRKVHdsHs2Z5dkvANcAvsv4v58SxXPkFMDoiIqdwpYKLiFrgBuCnWTswH6ST8dwpZxai2p+ewJZW7a1Zn1SKvpNS2p5t7wC+k22bJyop2RSKOmAl5oVKWDYNaS2wC1gKvAfsSykdyYa0Pu6P50S2fz9QlW/EUkE9DNwNNGftKswHKQGvRERTREzJ+jx3ylnHYgcgSd+GlFKKiFTsOKS8RUQ34JfAtJTSR62/wDYvVGpSSkeBgRFxHrAY6FvkkKSiiIjvA7tSSk0RMbLY8UhnkBEppW0RUQMsjYjftt7puVM+vCKq/dkG9GrVrs36pFK089jlsdn9rqzfPFFJiIhyWopQz6aU/j3rNi9U8lJK+4BlwJ/RMpXi2JevrY/74zmR7e8O7Mk5VKlQ6oEbI+IDWpbyuAZ4BPNBJS6ltC2730XLFxZD8dwpdxai2p/VQJ/sFy86AT8Afl3kmKRi+TUwKdueBPyqVf+t2S9dDAf2t7rcVjorZGt3/CuwKaX0YKtd5oVKUkRckF0JRUScA1xHy9ppy4Dx2bAv58SxXBkP/Cal5LfgOiuklP4xpVSbUupNy+eF36SUfoj5oBIWEV0j4txj28D1wAY8d8pd+O9L+xMR36NlzncZ8HRKaXaRQ5IKLiL+DRgJVAM7gfuAF4GFwB8DvwNuSSntzT6gP07Lr+wdAv46pdRYjLilQomIEcByYD1frP9xDy3rRJkXKjkRcQUti8yW0fJl68KU0gMRcTEtV4RUAmuAiSmlTyOiAvg5Leur7QV+kFLaXJzopcLJpub9Q0rp++aDSll2/C/Omh2B51JKsyOiCs+dcmUhSpIkSZIkSblwap4kSZIkSZJyYSFKkiRJkiRJubAQJUmSJEmSpFxYiJIkSZIkSVIuLERJkiRJkiQpFx2LHYAkSVIpyH4e+tWs+V3gKLA7ax9KKV1VlMAkSZJyFCmlYscgSZJUUiLifuBgSmlusWORJEnKk1PzJEmSiiwiDmb3IyPiPyPiVxGxOSL+KSJ+GBGrImJ9RFySjbsgIn4ZEauzW31x34EkSdKpsRAlSZJ0ZhkA/A3QD/gr4E9TSkOBnwJ/l415BHgopTQEuDnbJ0mSdMZzjShJkqQzy+qU0naAiHgPeCXrXw+MyravBfpHxLHH/FFEdEspHcw1UkmSpK/JQpQkSdKZ5dNW282t2s18ce7WARieUvokz8AkSZJOl1PzJEmS2p9X+GKaHhExsIixSJIknTILUZIkSe3PncDgiFgXERtpWVNKkiTpjBcppWLHIEmSJEmSpBLgFVGSJEmSJEnKhYUoSZIkSZIk5cJClCRJkiRJknJhIUqSJEmSJEm5sBAlSZIkSZKkXFiIkiRJkiRJUi4sREmSJEmSJCkX/wf77jwv+uz5vAAAAABJRU5ErkJggg==\\n\",\n      \"text/plain\": [\n       \"<Figure size 1440x1080 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.figure(figsize=(20,15))\\n\",\n    \"\\n\",\n    \"plt.plot(t_spearmint_median, min_so_far(s_spearmint_median))\\n\",\n    \"plt.plot(t_spearmint_bandit, min_so_far(s_spearmint_bandit))\\n\",\n    \"plt.plot(t_spearmint_trunc, min_so_far(s_spearmint_trunc))\\n\",\n    \"plt.plot(t_ran, min_so_far(s_ran))\\n\",\n    \"\\n\",\n    \"plt.legend(['y = spearmint_median','y = spearmint_bandit', 'y = spearmint_trunc', 'y = spearmint'], loc='lower right')\\n\",\n    \"\\n\",\n    \"plt.title('Hyperparameter Optimization using ES with various policies on Quad min')\\n\",\n    \"plt.xlabel('Time')\\n\",\n    \"plt.ylabel('Min res')\\n\",\n    \"\\n\",\n    \"plt.show()\\n\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.5.2\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "Examples/quad_equation_min/cpu.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=./.aup\n# Temp folder\nTMP_FOLDER=./aup_tmp\n# SQL engine\nSQL_ENGINE=sqlite\n"
  },
  {
    "path": "Examples/quad_equation_min/quad_min.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function for HPO and aup\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport sys\n\"\"\" # ver 1.0 - modify existing code\nfrom aup import BasicConfig, print_result\n\ndef rosenbrock(conf, a=1, b=100):\n    x = conf.x\n    y = conf.y\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    val = rosenbrock(config)\n    print_result(val)\n\"\"\"\n\nfrom aup import aup_args\nfrom time import sleep\n\n@aup_args\ndef rosenbrock(x, a=2, b=4, c=5):\n    global it\n\n    it = 1.0\n    res = None\n\n    for _ in range(0, 10):\n        sleep(1)\n        res = x*x*a + x*b + c\n        res += it\n        it -= 1.0 / 10\n\n    return res\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    \n    rosenbrock(sys.argv[1])\n"
  },
  {
    "path": "Examples/quad_equation_min/quad_min_BOHB.json",
    "content": "{\n  \"name\": \"./quad_equation_min/quad_min_BOHB.json\",\n  \"proposer\": \"bohb\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_iterations\": 100,\n  \"num_samples\": 64,\n  \"random_fraction\": 0.3333333333333333,\n  \"bandwidth_factor\": 3,\n  \"min_bandwidth\": 0.001,\n  \"eta\": 3,\n  \"min_budget\": 1,\n  \"max_budget\": 5,\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/quad_equation_min/quad_min_random.json",
    "content": "{\n  \"name\": \"./quad_equation_min/quad_min_random.json\",\n  \"proposer\": \"random\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 200,\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/quad_equation_min/quad_min_spearmint.json",
    "content": "{\n  \"name\": \"./quad_equation_min/quad_min_spearmint.json\",\n  \"proposer\": \"spearmint\",\n  \"script\": \"quad_min.py\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 4,\n  \"target\":\"min\",\n  \"n_samples\": 50,\n  \"engine\":\"GPEIChooser\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [-1.0, 100.0],\n      \"type\": \"float\"\n    }\n  ]\n}\n"
  },
  {
    "path": "Examples/tf_flags/README.md",
    "content": "# Demo for tf.app.flags\n\nTensorflow flags is widely used for tensorflow to parse input arguments.\nIt is naturally supported by **Auptimizer** with minor modification on you existing code.\n\nSimilar to adopting **Auptimizer** for plain python training code, there are two parts of changes.\n\nA working example is shown as `rosenbrock_hpo.py`, whereas the plain code is `rosenbrock_tf.py`.\n\n## Modification on training code\n\nBecause `tf.flags` already takes care of the input argument, we just insert `aup.BasicConfig` properly:\n\n```python\ndef main(unused_arguments):\n  config = BasicConfig().load(unused[1])\n  config.to_flags(FLAGS)\t\n\t\nif __name__ == \"__main__\"\n  tf.app.run()\n```\n\n`config = BasicConfig().load(unused[1])` parses the input file for the parameter values.\nAnd `config.to_flags(FLAGS)` assigns the value to `tensorflow.app.flags.FLAGS`, thus it can be used without changing how to access those values in the original code.\n\nSimilar to other examples, you need to call `aup.print_result()` at the end of the program to return your target to optimize.\n\n## Modification on experiment configuration\n\nThe same configuration of experiment can be used.  See other examples for reference.\n\n\n## Run\n\nSame to other example, you now can run **Auptimizer** as\n\n```bash\npython -m aup experiment.json\n```\n\nto initiate your continuous training experiment.\n\n\n\n\n\n\n"
  },
  {
    "path": "Examples/tf_flags/experiment.json",
    "content": "{\n  \"name\": \"./tf_flags/experiment.json\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"rosenbrock_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"min\"\n}\n"
  },
  {
    "path": "Examples/tf_flags/rosenbrock_hpo.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function with tf.app.flags\n==============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport tensorflow as tf\n\"\"\"\nfrom aup import print_result, BasicConfig\n\nflags = tf.app.flags\nFLAGS = flags.FLAGS\n\nflags.DEFINE_float(\"x\", 0, \"x value\")\nflags.DEFINE_float(\"y\", 0, \"y value\")\n\n\ndef rosenbrock(x, y, a=1, b=100):\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n\ndef main(unused):\n    ## change\n    config = BasicConfig().load(unused[1])\n    config.to_flags(FLAGS)\n    ## \n    val = rosenbrock(FLAGS.x, FLAGS.y)\n    print_result(val)\n\n\nif __name__ == \"__main__\":\n    tf.app.run()\n\"\"\"\n\nfrom aup import aup_flags\n\nflags = tf.app.flags\nFLAGS = flags.FLAGS\n\nflags.DEFINE_float(\"x\", 0, \"x value\")\nflags.DEFINE_float(\"y\", 0, \"y value\")\n\n\ndef rosenbrock(x, y, a=1, b=100):\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n\n@aup_flags(FLAGS)\ndef main(unused):\n    return rosenbrock(FLAGS.x, FLAGS.y)\n\n\nif __name__ == \"__main__\":\n    tf.app.run()\n"
  },
  {
    "path": "Examples/tf_flags/rosenbrock_tf.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nModified Rosenbrock function with tf.app.flags\n==============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport sys\nimport tensorflow as tf\n\nflags = tf.app.flags\nFLAGS = flags.FLAGS\n\nflags.DEFINE_float(\"x\", 0, \"x value\")\nflags.DEFINE_float(\"y\", 0, \"y value\")\n\n\ndef rosenbrock(x, y, a=1, b=100):\n    return (a-x)*(a-x) + b*(y-x*x)*(y-x*x)\n\n\ndef main(unused):\n    val = rosenbrock(FLAGS.x, FLAGS.y)\n    print(val)\n\n\nif __name__ == \"__main__\":\n    tf.app.run()\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/History.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import os\\n\",\n    \"import pandas as pd\\n\",\n    \"import matplotlib.pylab as plt\\n\",\n    \"from aup.ET.Connector.SQLiteConnector import SQLiteConnector\\n\",\n    \"import json\\n\",\n    \"%matplotlib inline\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# connect to the result (The database is copied from ~/.aup/sqlite3.db)\\n\",\n    \"sql = SQLiteConnector(\\\"./sqlite3.db\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[1, 2, 3, 4]\"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Get all experiments (this run is for iris using hyperopt, sequence, spearmint, random)\\n\",\n    \"eids = sql.get_all_experiment()\\n\",\n    \"eids\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(2,\\n\",\n       \" 1,\\n\",\n       \" 1534397382,\\n\",\n       \" 1534397474,\\n\",\n       \" '{\\\"script\\\": \\\"premade_estimator_hpo.py\\\", \\\"n_parallel\\\": 2, \\\"parameter_config\\\": [{\\\"type\\\": \\\"int\\\", \\\"name\\\": \\\"layer1\\\", \\\"range\\\": [2, 6]}, {\\\"type\\\": \\\"int\\\", \\\"name\\\": \\\"layer2\\\", \\\"range\\\": [2, 6]}], \\\"resource\\\": \\\"gpu\\\", \\\"proposer\\\": \\\"sequence\\\", \\\"target\\\": \\\"max\\\", \\\"workingdir\\\": \\\"Examples/tf_iris_diff_opt\\\"}')\"\n      ]\n     },\n     \"execution_count\": 4,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Show details in one experiment\\n\",\n    \"sql.cursor.execute(\\\"SELECT * FROM experiment where eid = ?\\\", (eids[1],))\\n\",\n    \"sql.cursor.fetchone()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>jid</th>\\n\",\n       \"      <th>score</th>\\n\",\n       \"      <th>eid</th>\\n\",\n       \"      <th>rid</th>\\n\",\n       \"      <th>start_time</th>\\n\",\n       \"      <th>end_time</th>\\n\",\n       \"      <th>job_config</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397309</td>\\n\",\n       \"      <td>1534397318</td>\\n\",\n       \"      <td>{'layer2': 2, 'tid': 0, 'layer1': 2}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>0.933333</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397309</td>\\n\",\n       \"      <td>1534397318</td>\\n\",\n       \"      <td>{'layer2': 5, 'tid': 1, 'layer1': 2}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397318</td>\\n\",\n       \"      <td>1534397325</td>\\n\",\n       \"      <td>{'layer2': 4, 'tid': 2, 'layer1': 3}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397318</td>\\n\",\n       \"      <td>1534397325</td>\\n\",\n       \"      <td>{'layer2': 4, 'tid': 3, 'layer1': 3}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397325</td>\\n\",\n       \"      <td>1534397332</td>\\n\",\n       \"      <td>{'layer2': 4, 'tid': 4, 'layer1': 4}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397325</td>\\n\",\n       \"      <td>1534397332</td>\\n\",\n       \"      <td>{'layer2': 3, 'tid': 5, 'layer1': 5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>1.000000</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397332</td>\\n\",\n       \"      <td>1534397339</td>\\n\",\n       \"      <td>{'layer2': 3, 'tid': 6, 'layer1': 5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>0.266667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397332</td>\\n\",\n       \"      <td>1534397340</td>\\n\",\n       \"      <td>{'layer2': 2, 'tid': 7, 'layer1': 2}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>9</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397339</td>\\n\",\n       \"      <td>1534397346</td>\\n\",\n       \"      <td>{'layer2': 5, 'tid': 8, 'layer1': 5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397340</td>\\n\",\n       \"      <td>1534397347</td>\\n\",\n       \"      <td>{'layer2': 3, 'tid': 9, 'layer1': 2}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397347</td>\\n\",\n       \"      <td>1534397354</td>\\n\",\n       \"      <td>{'layer2': 5, 'tid': 10, 'layer1': 5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397347</td>\\n\",\n       \"      <td>1534397354</td>\\n\",\n       \"      <td>{'layer2': 5, 'tid': 11, 'layer1': 4}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      <td>13</td>\\n\",\n       \"      <td>0.266667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397354</td>\\n\",\n       \"      <td>1534397361</td>\\n\",\n       \"      <td>{'layer2': 3, 'tid': 12, 'layer1': 5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>13</th>\\n\",\n       \"      <td>14</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397354</td>\\n\",\n       \"      <td>1534397361</td>\\n\",\n       \"      <td>{'layer2': 5, 'tid': 13, 'layer1': 3}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14</th>\\n\",\n       \"      <td>15</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397361</td>\\n\",\n       \"      <td>1534397368</td>\\n\",\n       \"      <td>{'layer2': 4, 'tid': 14, 'layer1': 5}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15</th>\\n\",\n       \"      <td>16</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397361</td>\\n\",\n       \"      <td>1534397368</td>\\n\",\n       \"      <td>{'layer2': 4, 'tid': 15, 'layer1': 4}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16</th>\\n\",\n       \"      <td>17</td>\\n\",\n       \"      <td>0.966667</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397368</td>\\n\",\n       \"      <td>1534397375</td>\\n\",\n       \"      <td>{'layer2': 3, 'tid': 16, 'layer1': 4}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17</th>\\n\",\n       \"      <td>18</td>\\n\",\n       \"      <td>1.000000</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397368</td>\\n\",\n       \"      <td>1534397375</td>\\n\",\n       \"      <td>{'layer2': 5, 'tid': 17, 'layer1': 2}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18</th>\\n\",\n       \"      <td>19</td>\\n\",\n       \"      <td>1.000000</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>1534397375</td>\\n\",\n       \"      <td>1534397382</td>\\n\",\n       \"      <td>{'layer2': 4, 'tid': 18, 'layer1': 3}</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19</th>\\n\",\n       \"      <td>20</td>\\n\",\n       \"      <td>1.000000</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>1534397375</td>\\n\",\n       \"      <td>1534397382</td>\\n\",\n       \"      <td>{'layer2': 4, 'tid': 19, 'layer1': 2}</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"    jid     score  eid  rid  start_time    end_time  \\\\\\n\",\n       \"0     1  0.966667    1    1  1534397309  1534397318   \\n\",\n       \"1     2  0.933333    1    2  1534397309  1534397318   \\n\",\n       \"2     3  0.966667    1    1  1534397318  1534397325   \\n\",\n       \"3     4  0.966667    1    2  1534397318  1534397325   \\n\",\n       \"4     5  0.966667    1    1  1534397325  1534397332   \\n\",\n       \"5     6  0.966667    1    2  1534397325  1534397332   \\n\",\n       \"6     7  1.000000    1    1  1534397332  1534397339   \\n\",\n       \"7     8  0.266667    1    2  1534397332  1534397340   \\n\",\n       \"8     9  0.966667    1    1  1534397339  1534397346   \\n\",\n       \"9    10  0.966667    1    2  1534397340  1534397347   \\n\",\n       \"10   11  0.966667    1    1  1534397347  1534397354   \\n\",\n       \"11   12  0.966667    1    2  1534397347  1534397354   \\n\",\n       \"12   13  0.266667    1    1  1534397354  1534397361   \\n\",\n       \"13   14  0.966667    1    2  1534397354  1534397361   \\n\",\n       \"14   15  0.966667    1    1  1534397361  1534397368   \\n\",\n       \"15   16  0.966667    1    2  1534397361  1534397368   \\n\",\n       \"16   17  0.966667    1    1  1534397368  1534397375   \\n\",\n       \"17   18  1.000000    1    2  1534397368  1534397375   \\n\",\n       \"18   19  1.000000    1    1  1534397375  1534397382   \\n\",\n       \"19   20  1.000000    1    2  1534397375  1534397382   \\n\",\n       \"\\n\",\n       \"                               job_config  \\n\",\n       \"0    {'layer2': 2, 'tid': 0, 'layer1': 2}  \\n\",\n       \"1    {'layer2': 5, 'tid': 1, 'layer1': 2}  \\n\",\n       \"2    {'layer2': 4, 'tid': 2, 'layer1': 3}  \\n\",\n       \"3    {'layer2': 4, 'tid': 3, 'layer1': 3}  \\n\",\n       \"4    {'layer2': 4, 'tid': 4, 'layer1': 4}  \\n\",\n       \"5    {'layer2': 3, 'tid': 5, 'layer1': 5}  \\n\",\n       \"6    {'layer2': 3, 'tid': 6, 'layer1': 5}  \\n\",\n       \"7    {'layer2': 2, 'tid': 7, 'layer1': 2}  \\n\",\n       \"8    {'layer2': 5, 'tid': 8, 'layer1': 5}  \\n\",\n       \"9    {'layer2': 3, 'tid': 9, 'layer1': 2}  \\n\",\n       \"10  {'layer2': 5, 'tid': 10, 'layer1': 5}  \\n\",\n       \"11  {'layer2': 5, 'tid': 11, 'layer1': 4}  \\n\",\n       \"12  {'layer2': 3, 'tid': 12, 'layer1': 5}  \\n\",\n       \"13  {'layer2': 5, 'tid': 13, 'layer1': 3}  \\n\",\n       \"14  {'layer2': 4, 'tid': 14, 'layer1': 5}  \\n\",\n       \"15  {'layer2': 4, 'tid': 15, 'layer1': 4}  \\n\",\n       \"16  {'layer2': 3, 'tid': 16, 'layer1': 4}  \\n\",\n       \"17  {'layer2': 5, 'tid': 17, 'layer1': 2}  \\n\",\n       \"18  {'layer2': 4, 'tid': 18, 'layer1': 3}  \\n\",\n       \"19  {'layer2': 4, 'tid': 19, 'layer1': 2}  \"\n      ]\n     },\n     \"execution_count\": 5,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# show details in job history for one experiment\\n\",\n    \"history = sql.get_all_history(1)\\n\",\n    \"history = pd.DataFrame(history)\\n\",\n    \"history.columns = ['jid', 'score','eid','rid','start_time','end_time','job_config']\\n\",\n    \"history\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Text(0,0.5,'Best Accuracy so far')\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<matplotlib.figure.Figure at 0x105e7f438>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.figure(figsize=(16,8))\\n\",\n    \"plt.subplot(121)\\n\",\n    \"for i in eids:\\n\",\n    \"    history = sql.get_all_history(i)\\n\",\n    \"    history = pd.DataFrame(history)\\n\",\n    \"    history.columns = ['jid', 'score','eid','rid','start_time','end_time','job_config']\\n\",\n    \"    sql.cursor.execute(\\\"SELECT * FROM experiment where eid = ?\\\", (i,))\\n\",\n    \"    label = json.loads(sql.cursor.fetchone()[4])['proposer']\\n\",\n    \"    plt.plot(history.score, label=label)\\n\",\n    \"plt.legend()\\n\",\n    \"plt.xlabel(\\\"Iteration\\\")\\n\",\n    \"plt.ylabel(\\\"Accuracy\\\")\\n\",\n    \"\\n\",\n    \"plt.subplot(122)\\n\",\n    \"for i in eids:\\n\",\n    \"    history = sql.get_all_history(i)\\n\",\n    \"    history = pd.DataFrame(history)\\n\",\n    \"    history.columns = ['jid', 'score','eid','rid','start_time','end_time','job_config']\\n\",\n    \"    sql.cursor.execute(\\\"SELECT * FROM experiment where eid = ?\\\", (i,))\\n\",\n    \"    label = json.loads(sql.cursor.fetchone()[4])['proposer']\\n\",\n    \"    plt.plot(history.score.cummax(), label=label)\\n\",\n    \"plt.legend()\\n\",\n    \"plt.xlabel(\\\"Iteration\\\")\\n\",\n    \"plt.ylabel(\\\"Best Accuracy so far\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"sql.close()\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.6.4\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/README.md",
    "content": "# Tensorflow Iris Example\n\nHere we demonstrate how to adopt an existing [tensorflow code](https://raw.githubusercontent.com/tensorflow/models/master/samples/core/get_started/premade_estimator.py) for **Auptimizer** using the automatic code generation tool.\n\n## Steps\n1. The original `premade_estimator.py` use two hyperparameters, `batch_size` and `train_steps`. To make the code more relevant to our hyperparameter search, we drop them as input arguments and use fixed values instead.\n2. We add two hyperparameters into the `main()` function to update the number of neurons in each layer, i.e. `layer1` and `layer2`.  The model is constructed accordingly in line 51.\n3. Add the return value `probability` in the `main()` function and also remove the \"__main__\" segments as we will create it automatically.\nSee `premade_estimator_hyper.py` for the changed script.\n4. Write an experiment configution JSON file, such as:\n\n```JSON\n{\n  \"proposer\": \"random\",\n  \"script\": \"premade_estimator_wrapper.py\",\n  \"n_samples\": 20,\n  \"random_seed\": 1,\n  \"parameter_config\": [\n    {\n      \"name\": \"layer1\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"layer2\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n```\n\n4. Run code conversion as: `python -m aup.convert premade_estimator_hyper.py experiment_random.json main`.  The output file is saved as `premade_estimator_wrapper.py`.\n\nNow we have the code for **Auptimizer** to tune.\n\n## Run \n\n\n1. If you haven't setup **Auptimzier** yet, run `python -m aup.setup ../../FirstTime/env_local_template.ini` to setup a local environment for testing (with CPU only).  Then following instruction on the screen to run `python -m aup.setupdb.sqlite ./.aup/env.ini`.\n2. Run **Auptimizer** as: `python -m aup experiment_demo.json`.\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/experiment_demo.json",
    "content": "{\n  \"name\": \"./tf_iris_diff_opt/experiment_demo.json\",\n  \"proposer\": \"random\",\n  \"script\": \"premade_estimator_wrapper.py\",\n  \"n_samples\": 4,\n  \"random_seed\": 1,\n  \"parameter_config\": [\n    {\n      \"name\": \"layer1\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"layer2\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/experiment_hpo.json",
    "content": "{\n  \"name\": \"./tf_iris_diff_opt/experiment_hpo.json\",\n  \"proposer\": \"hyperopt\",\n  \"random_seed\": 1,\n  \"engine\":\"tpe\",\n  \"n_samples\": 20,\n  \"script\": \"premade_estimator_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"layer1\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"layer2\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"gpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/experiment_hyperband.json",
    "content": "{\n  \"name\": \"./tf_iris_diff_opt/experiment_hyperband.json\",\n  \"proposer\": \"hyperopt\",\n  \"random_seed\": 1,\n  \"engine\":\"tpe\",\n  \"n_samples\": 20,\n  \"script\": \"premade_estimator_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"layer1\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"layer2\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"gpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/experiment_random.json",
    "content": "{\n  \"name\": \"./tf_iris_diff_opt/experiment_random.json\",\n  \"proposer\": \"random\",\n  \"script\": \"premade_estimator_hpo.py\",\n  \"n_samples\": 20,\n  \"random_seed\": 1,\n  \"parameter_config\": [\n    {\n      \"name\": \"layer1\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"layer2\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"gpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/experiment_sequence.json",
    "content": "{\n  \"name\": \"./tf_iris_diff_opt/experiment_sequence.json\",\n  \"proposer\": \"sequence\",\n  \"script\": \"premade_estimator_hpo.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"layer1\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    },\n    {\n      \"name\": \"layer2\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\"\n    }\n  ],\n  \"resource\": \"gpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/experiment_spearmint.json",
    "content": "{\n  \"name\": \"./tf_iris_diff_opt/experiment_spearmint.json\",\n  \"proposer\": \"spearmint\",\n  \"n_samples\": 20,\n  \"random_seed\": 1,\n  \"script\": \"premade_estimator_hpo.py\",\n  \"engine\":\"GPEIChooser\",\n  \"parameter_config\": [\n    {\n      \"name\": \"layer1\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\",\n      \"size\": 1\n    },\n    {\n      \"name\": \"layer2\",\n      \"range\": [\n        2,\n        6\n      ],\n      \"type\": \"int\",\n      \"size\": 1\n    }\n  ],\n  \"resource\": \"gpu\",\n  \"n_parallel\": 2,\n  \"target\":\"max\"\n}\n\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/iris_data.py",
    "content": "# Download from https://raw.githubusercontent.com/tensorflow/models/master/samples/core/get_started/iris_data.py\n# Date: Jun 11, 2018\nimport pandas as pd\nimport tensorflow as tf\n\nTRAIN_URL = \"http://download.tensorflow.org/data/iris_training.csv\"\nTEST_URL = \"http://download.tensorflow.org/data/iris_test.csv\"\n\nCSV_COLUMN_NAMES = ['SepalLength', 'SepalWidth',\n                    'PetalLength', 'PetalWidth', 'Species']\nSPECIES = ['Setosa', 'Versicolor', 'Virginica']\n\ndef maybe_download():\n    train_path = tf.keras.utils.get_file(TRAIN_URL.split('/')[-1], TRAIN_URL)\n    test_path = tf.keras.utils.get_file(TEST_URL.split('/')[-1], TEST_URL)\n\n    return train_path, test_path\n\ndef load_data(y_name='Species'):\n    \"\"\"Returns the iris dataset as (train_x, train_y), (test_x, test_y).\"\"\"\n    train_path, test_path = maybe_download()\n\n    train = pd.read_csv(train_path, names=CSV_COLUMN_NAMES, header=0)\n    train_x, train_y = train, train.pop(y_name)\n\n    test = pd.read_csv(test_path, names=CSV_COLUMN_NAMES, header=0)\n    test_x, test_y = test, test.pop(y_name)\n\n    return (train_x, train_y), (test_x, test_y)\n\n\ndef train_input_fn(features, labels, batch_size):\n    \"\"\"An input function for training\"\"\"\n    # Convert the inputs to a Dataset.\n    dataset = tf.data.Dataset.from_tensor_slices((dict(features), labels))\n\n    # Shuffle, repeat, and batch the examples.\n    dataset = dataset.shuffle(1000).repeat().batch(batch_size)\n\n    # Return the dataset.\n    return dataset\n\n\ndef eval_input_fn(features, labels, batch_size):\n    \"\"\"An input function for evaluation or prediction\"\"\"\n    features=dict(features)\n    if labels is None:\n        # No labels, use only features.\n        inputs = features\n    else:\n        inputs = (features, labels)\n\n    # Convert the inputs to a Dataset.\n    dataset = tf.data.Dataset.from_tensor_slices(inputs)\n\n    # Batch the examples\n    assert batch_size is not None, \"batch_size must not be None\"\n    dataset = dataset.batch(batch_size)\n\n    # Return the dataset.\n    return dataset\n\n\n# The remainder of this file contains a simple example of a csv parser,\n#     implemented using the `Dataset` class.\n\n# `tf.parse_csv` sets the types of the outputs to match the examples given in\n#     the `record_defaults` argument.\nCSV_TYPES = [[0.0], [0.0], [0.0], [0.0], [0]]\n\ndef _parse_line(line):\n    # Decode the line into its fields\n    fields = tf.decode_csv(line, record_defaults=CSV_TYPES)\n\n    # Pack the result into a dictionary\n    features = dict(zip(CSV_COLUMN_NAMES, fields))\n\n    # Separate the label from the features\n    label = features.pop('Species')\n\n    return features, label\n\n\ndef csv_input_fn(csv_path, batch_size):\n    # Create a dataset containing the text lines.\n    dataset = tf.data.TextLineDataset(csv_path).skip(1)\n\n    # Parse each line.\n    dataset = dataset.map(_parse_line)\n\n    # Shuffle, repeat, and batch the examples.\n    dataset = dataset.shuffle(1000).repeat().batch(batch_size)\n\n    # Return the dataset.\n    return dataset\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/premade_estimator.py",
    "content": "# Download from https://raw.githubusercontent.com/tensorflow/models/master/samples/core/get_started/premade_estimator.py\n# Date: Jun 11, 2018\n# This the original code.  The converted version for Auptimizer is `premade_estimator_hpo.py`\n# #########################################################################################################\n#  Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n#\n#  Licensed under the Apache License, Version 2.0 (the \"License\");\n#  you may not use this file except in compliance with the License.\n#  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n#  Unless required by applicable law or agreed to in writing, software\n#  distributed under the License is distributed on an \"AS IS\" BASIS,\n#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n#  See the License for the specific language governing permissions and\n#  limitations under the License.\n\"\"\"An Example of a DNNClassifier for the Iris dataset.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport argparse\nimport tensorflow as tf\n\nimport iris_data\n\n\nparser = argparse.ArgumentParser()\nparser.add_argument('--batch_size', default=100, type=int, help='batch size')\nparser.add_argument('--train_steps', default=1000, type=int,\n                    help='number of training steps')\n\ndef main(argv):\n    args = parser.parse_args(argv[1:])\n\n    # Fetch the data\n    (train_x, train_y), (test_x, test_y) = iris_data.load_data()\n\n    # Feature columns describe how to use the input.\n    my_feature_columns = []\n    for key in train_x.keys():\n        my_feature_columns.append(tf.feature_column.numeric_column(key=key))\n\n    # Build 2 hidden layer DNN with 10, 10 units respectively.\n    classifier = tf.estimator.DNNClassifier(\n        feature_columns=my_feature_columns,\n        # Two hidden layers of 10 nodes each.\n        hidden_units=[10, 10],\n        # The model must choose between 3 classes.\n        n_classes=3)\n\n    # Train the Model.\n    classifier.train(\n        input_fn=lambda:iris_data.train_input_fn(train_x, train_y,\n                                                 args.batch_size),\n        steps=args.train_steps)\n\n    # Evaluate the model.\n    eval_result = classifier.evaluate(\n        input_fn=lambda:iris_data.eval_input_fn(test_x, test_y,\n                                                args.batch_size))\n\n    print('\\nTest set accuracy: {accuracy:0.3f}\\n'.format(**eval_result))\n\n    # Generate predictions from the model\n    expected = ['Setosa', 'Versicolor', 'Virginica']\n    predict_x = {\n        'SepalLength': [5.1, 5.9, 6.9],\n        'SepalWidth': [3.3, 3.0, 3.1],\n        'PetalLength': [1.7, 4.2, 5.4],\n        'PetalWidth': [0.5, 1.5, 2.1],\n    }\n\n    predictions = classifier.predict(\n        input_fn=lambda:iris_data.eval_input_fn(predict_x,\n                                                labels=None,\n                                                batch_size=args.batch_size))\n\n    template = ('\\nPrediction is \"{}\" ({:.1f}%), expected \"{}\"')\n\n    for pred_dict, expec in zip(predictions, expected):\n        class_id = pred_dict['class_ids'][0]\n        probability = pred_dict['probabilities'][class_id]\n\n        print(template.format(iris_data.SPECIES[class_id],\n                              100 * probability, expec))\n\n\nif __name__ == '__main__':\n    tf.logging.set_verbosity(tf.logging.INFO)\n    tf.app.run(main)\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/premade_estimator_hpo.py",
    "content": "#!/usr/bin/env python3\n# Download from https://raw.githubusercontent.com/tensorflow/models/master/samples/core/get_started/premade_estimator.py\n# Date: Jun 11, 2018\n# Modified for auptimizer\n########################################################################################################################\n#  Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n#\n#  Licensed under the Apache License, Version 2.0 (the \"License\");\n#  you may not use this file except in compliance with the License.\n#  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n#  Unless required by applicable law or agreed to in writing, software\n#  distributed under the License is distributed on an \"AS IS\" BASIS,\n#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n#  See the License for the specific language governing permissions and\n#  limitations under the License.\n\"\"\"An Example of a DNNClassifier for the Iris dataset.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport tensorflow as tf\nimport sys\nimport iris_data\nfrom aup import BasicConfig, print_result\n\n#\n# ChangeLog:\n# + remove argparse and set default batch_size, and train_step\n# + add aup config and change __main__\n# + change main() to get conf, which contains the number of nodes per layer\n# + change main() to  return eval_result[\"accuracy\"].\n# + add shebang line and execute permission\n# + change train_steps to be consistent with hyperband\n\nbatch_size = 100\n\n\nconfig = tf.ConfigProto()\nconfig.gpu_options.allow_growth=True\nsess = tf.Session(config=config)\n\n\ndef main(conf):\n    # Fetch the data\n    (train_x, train_y), (test_x, test_y) = iris_data.load_data()\n\n    if \"n_iterations\" in config:\n        train_steps = 100 * config.n_iterations\n    else:\n        train_steps = 1000\n    # Feature columns describe how to use the input.\n    my_feature_columns = []\n    for key in train_x.keys():\n        my_feature_columns.append(tf.feature_column.numeric_column(key=key))\n\n    # Build 2 hidden layer DNN with 10, 10 units respectively.\n    classifier = tf.estimator.DNNClassifier(\n        feature_columns=my_feature_columns,\n        # Two hidden layers of 10 nodes each.\n        hidden_units=[conf[\"layer1\"], conf[\"layer2\"]],\n        # The model must choose between 3 classes.\n        n_classes=3)\n\n    # Train the Model.\n    classifier.train(input_fn=lambda:iris_data.train_input_fn(train_x, train_y,batch_size), steps=train_steps)\n\n    # Evaluate the model.\n    eval_result = classifier.evaluate(input_fn=lambda:iris_data.eval_input_fn(test_x, test_y,batch_size))\n\n    print('\\nTest set accuracy: {accuracy:0.3f}\\n'.format(**eval_result))\n\n    # Generate predictions from the model\n    expected = ['Setosa', 'Versicolor', 'Virginica']\n    predict_x = {\n        'SepalLength': [5.1, 5.9, 6.9],\n        'SepalWidth': [3.3, 3.0, 3.1],\n        'PetalLength': [1.7, 4.2, 5.4],\n        'PetalWidth': [0.5, 1.5, 2.1],\n    }\n\n    predictions = classifier.predict(input_fn=lambda:iris_data.eval_input_fn(predict_x, labels=None, batch_size=batch_size))\n\n    template = ('\\nPrediction is \"{}\" ({:.1f}%), expected \"{}\"')\n\n    for pred_dict, expec in zip(predictions, expected):\n        class_id = pred_dict['class_ids'][0]\n        probability = pred_dict['probabilities'][class_id]\n\n        print(template.format(iris_data.SPECIES[class_id],\n                              100 * probability, expec))\n    return eval_result[\"accuracy\"]\n\n\nif __name__ == '__main__':\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    val = main(config)\n    print_result(val)\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/premade_estimator_hyper.py",
    "content": "# Download from https://raw.githubusercontent.com/tensorflow/models/master/samples/core/get_started/premade_estimator.py\n# Date: Jun 11, 2018\n# Modified to work with aup.convert\n########################################################################################################################\n#  Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n#\n#  Licensed under the Apache License, Version 2.0 (the \"License\");\n#  you may not use this file except in compliance with the License.\n#  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n#  Unless required by applicable law or agreed to in writing, software\n#  distributed under the License is distributed on an \"AS IS\" BASIS,\n#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n#  See the License for the specific language governing permissions and\n#  limitations under the License.\n\"\"\"An Example of a DNNClassifier for the Iris dataset.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport argparse\nimport tensorflow as tf\n\nimport iris_data\n\n\n#parser = argparse.ArgumentParser()\n#parser.add_argument('--batch_size', default=100, type=int, help='batch size')\n#parser.add_argument('--train_steps', default=1000, type=int,\n#                    help='number of training steps')\n\nbatch_size=100\ntrain_steps=1000\n\n                    \ndef main(layer1, layer2):\n    #args = parser.parse_args(argv[1:])\n\n    # Fetch the data\n    (train_x, train_y), (test_x, test_y) = iris_data.load_data()\n\n    # Feature columns describe how to use the input.\n    my_feature_columns = []\n    for key in train_x.keys():\n        my_feature_columns.append(tf.feature_column.numeric_column(key=key))\n\n    # Build 2 hidden layer DNN with 10, 10 units respectively.\n    classifier = tf.estimator.DNNClassifier(\n        feature_columns=my_feature_columns,\n        # Two hidden layers of 10 nodes each.\n        hidden_units=[layer1, layer2],\n        # The model must choose between 3 classes.\n        n_classes=3)\n\n    # Train the Model.\n    classifier.train(\n        input_fn=lambda:iris_data.train_input_fn(train_x, train_y,\n                                                 batch_size),\n        steps=train_steps)\n\n    # Evaluate the model.\n    eval_result = classifier.evaluate(\n        input_fn=lambda:iris_data.eval_input_fn(test_x, test_y,\n                                                batch_size))\n\n    print('\\nTest set accuracy: {accuracy:0.3f}\\n'.format(**eval_result))\n\n    # Generate predictions from the model\n    expected = ['Setosa', 'Versicolor', 'Virginica']\n    predict_x = {\n        'SepalLength': [5.1, 5.9, 6.9],\n        'SepalWidth': [3.3, 3.0, 3.1],\n        'PetalLength': [1.7, 4.2, 5.4],\n        'PetalWidth': [0.5, 1.5, 2.1],\n    }\n\n    predictions = classifier.predict(\n        input_fn=lambda:iris_data.eval_input_fn(predict_x,\n                                                labels=None,\n                                                batch_size=batch_size))\n\n    template = ('\\nPrediction is \"{}\" ({:.1f}%), expected \"{}\"')\n\n    for pred_dict, expec in zip(predictions, expected):\n        class_id = pred_dict['class_ids'][0]\n        probability = pred_dict['probabilities'][class_id]\n\n        print(template.format(iris_data.SPECIES[class_id],\n                              100 * probability, expec))\n    return probability\n\n#if __name__ == '__main__':\n#    tf.logging.set_verbosity(tf.logging.INFO)\n#    tf.app.run(main)\n"
  },
  {
    "path": "Examples/tf_iris_diff_opt/premade_estimator_wrapper.py",
    "content": "#!/usr/bin/env python\n# Download from https://raw.githubusercontent.com/tensorflow/models/master/samples/core/get_started/premade_estimator.py\n# Date: Jun 11, 2018\n# This is created by aup.convert\n########################################################################################################################\n#  Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n#\n#  Licensed under the Apache License, Version 2.0 (the \"License\");\n#  you may not use this file except in compliance with the License.\n#  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n#  Unless required by applicable law or agreed to in writing, software\n#  distributed under the License is distributed on an \"AS IS\" BASIS,\n#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n#  See the License for the specific language governing permissions and\n#  limitations under the License.\n\"\"\"An Example of a DNNClassifier for the Iris dataset.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport argparse\nimport tensorflow as tf\n\nimport iris_data\n\n\n#parser = argparse.ArgumentParser()\n#parser.add_argument('--batch_size', default=100, type=int, help='batch size')\n#parser.add_argument('--train_steps', default=1000, type=int,\n#                    help='number of training steps')\n\nbatch_size=100\ntrain_steps=1000\n\n                    \ndef main(layer1, layer2):\n    #args = parser.parse_args(argv[1:])\n\n    # Fetch the data\n    (train_x, train_y), (test_x, test_y) = iris_data.load_data()\n\n    # Feature columns describe how to use the input.\n    my_feature_columns = []\n    for key in train_x.keys():\n        my_feature_columns.append(tf.feature_column.numeric_column(key=key))\n\n    # Build 2 hidden layer DNN with 10, 10 units respectively.\n    classifier = tf.estimator.DNNClassifier(\n        feature_columns=my_feature_columns,\n        # Two hidden layers of 10 nodes each.\n        hidden_units=[layer1, layer2],\n        # The model must choose between 3 classes.\n        n_classes=3)\n\n    # Train the Model.\n    classifier.train(\n        input_fn=lambda:iris_data.train_input_fn(train_x, train_y,\n                                                 batch_size),\n        steps=train_steps)\n\n    # Evaluate the model.\n    eval_result = classifier.evaluate(\n        input_fn=lambda:iris_data.eval_input_fn(test_x, test_y,\n                                                batch_size))\n\n    print('\\nTest set accuracy: {accuracy:0.3f}\\n'.format(**eval_result))\n\n    # Generate predictions from the model\n    expected = ['Setosa', 'Versicolor', 'Virginica']\n    predict_x = {\n        'SepalLength': [5.1, 5.9, 6.9],\n        'SepalWidth': [3.3, 3.0, 3.1],\n        'PetalLength': [1.7, 4.2, 5.4],\n        'PetalWidth': [0.5, 1.5, 2.1],\n    }\n\n    predictions = classifier.predict(\n        input_fn=lambda:iris_data.eval_input_fn(predict_x,\n                                                labels=None,\n                                                batch_size=batch_size))\n\n    template = ('\\nPrediction is \"{}\" ({:.1f}%), expected \"{}\"')\n\n    for pred_dict, expec in zip(predictions, expected):\n        class_id = pred_dict['class_ids'][0]\n        probability = pred_dict['probabilities'][class_id]\n\n        print(template.format(iris_data.SPECIES[class_id],\n                              100 * probability, expec))\n    return probability\n\n#if __name__ == '__main__':\n#    tf.logging.set_verbosity(tf.logging.INFO)\n#    tf.app.run(main)\n\ndef aup_wrapper(config):\n    res = main(layer1=config['layer1'],layer2=config['layer2'])\n    print_result(res)\n\nif __name__ == \"__main__\":\n    import sys\n    from aup import BasicConfig, print_result\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    aup_wrapper(config)\n"
  },
  {
    "path": "LICENSE",
    "content": "                    GNU GENERAL PUBLIC LICENSE\n                       Version 3, 29 June 2007\n\n Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>\n Everyone is permitted to copy and distribute verbatim copies\n of this license document, but changing it is not allowed.\n\n                            Preamble\n\n  The GNU General Public License is a free, copyleft license for\nsoftware and other kinds of works.\n\n  The licenses for most software and other practical works are designed\nto take away your freedom to share and change the works.  By contrast,\nthe GNU General Public License is intended to guarantee your freedom to\nshare and change all versions of a program--to make sure it remains free\nsoftware for all its users.  We, the Free Software Foundation, use the\nGNU General Public License for most of our software; it applies also to\nany other work released this way by its authors.  You can apply it to\nyour programs, too.\n\n  When we speak of free software, we are referring to freedom, not\nprice.  Our General Public Licenses are designed to make sure that you\nhave the freedom to distribute copies of free software (and charge for\nthem if you wish), that you receive source code or can get it if you\nwant it, that you can change the software or use pieces of it in new\nfree programs, and that you know you can do these things.\n\n  To protect your rights, we need to prevent others from denying you\nthese rights or asking you to surrender the rights.  Therefore, you have\ncertain responsibilities if you distribute copies of the software, or if\nyou modify it: responsibilities to respect the freedom of others.\n\n  For example, if you distribute copies of such a program, whether\ngratis or for a fee, you must pass on to the recipients the same\nfreedoms that you received.  You must make sure that they, too, receive\nor can get the source code.  And you must show them these terms so they\nknow their rights.\n\n  Developers that use the GNU GPL protect your rights with two steps:\n(1) assert copyright on the software, and (2) offer you this License\ngiving you legal permission to copy, distribute and/or modify it.\n\n  For the developers' and authors' protection, the GPL clearly explains\nthat there is no warranty for this free software.  For both users' and\nauthors' sake, the GPL requires that modified versions be marked as\nchanged, so that their problems will not be attributed erroneously to\nauthors of previous versions.\n\n  Some devices are designed to deny users access to install or run\nmodified versions of the software inside them, although the manufacturer\ncan do so.  This is fundamentally incompatible with the aim of\nprotecting users' freedom to change the software.  The systematic\npattern of such abuse occurs in the area of products for individuals to\nuse, which is precisely where it is most unacceptable.  Therefore, we\nhave designed this version of the GPL to prohibit the practice for those\nproducts.  If such problems arise substantially in other domains, we\nstand ready to extend this provision to those domains in future versions\nof the GPL, as needed to protect the freedom of users.\n\n  Finally, every program is threatened constantly by software patents.\nStates should not allow patents to restrict development and use of\nsoftware on general-purpose computers, but in those that do, we wish to\navoid the special danger that patents applied to a free program could\nmake it effectively proprietary.  To prevent this, the GPL assures that\npatents cannot be used to render the program non-free.\n\n  The precise terms and conditions for copying, distribution and\nmodification follow.\n\n                       TERMS AND CONDITIONS\n\n  0. Definitions.\n\n  \"This License\" refers to version 3 of the GNU General Public License.\n\n  \"Copyright\" also means copyright-like laws that apply to other kinds of\nworks, such as semiconductor masks.\n\n  \"The Program\" refers to any copyrightable work licensed under this\nLicense.  Each licensee is addressed as \"you\".  \"Licensees\" and\n\"recipients\" may be individuals or organizations.\n\n  To \"modify\" a work means to copy from or adapt all or part of the work\nin a fashion requiring copyright permission, other than the making of an\nexact copy.  The resulting work is called a \"modified version\" of the\nearlier work or a work \"based on\" the earlier work.\n\n  A \"covered work\" means either the unmodified Program or a work based\non the Program.\n\n  To \"propagate\" a work means to do anything with it that, without\npermission, would make you directly or secondarily liable for\ninfringement under applicable copyright law, except executing it on a\ncomputer or modifying a private copy.  Propagation includes copying,\ndistribution (with or without modification), making available to the\npublic, and in some countries other activities as well.\n\n  To \"convey\" a work means any kind of propagation that enables other\nparties to make or receive copies.  Mere interaction with a user through\na computer network, with no transfer of a copy, is not conveying.\n\n  An interactive user interface displays \"Appropriate Legal Notices\"\nto the extent that it includes a convenient and prominently visible\nfeature that (1) displays an appropriate copyright notice, and (2)\ntells the user that there is no warranty for the work (except to the\nextent that warranties are provided), that licensees may convey the\nwork under this License, and how to view a copy of this License.  If\nthe interface presents a list of user commands or options, such as a\nmenu, a prominent item in the list meets this criterion.\n\n  1. Source Code.\n\n  The \"source code\" for a work means the preferred form of the work\nfor making modifications to it.  \"Object code\" means any non-source\nform of a work.\n\n  A \"Standard Interface\" means an interface that either is an official\nstandard defined by a recognized standards body, or, in the case of\ninterfaces specified for a particular programming language, one that\nis widely used among developers working in that language.\n\n  The \"System Libraries\" of an executable work include anything, other\nthan the work as a whole, that (a) is included in the normal form of\npackaging a Major Component, but which is not part of that Major\nComponent, and (b) serves only to enable use of the work with that\nMajor Component, or to implement a Standard Interface for which an\nimplementation is available to the public in source code form.  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For example, Corresponding Source\nincludes interface definition files associated with source files for\nthe work, and the source code for shared libraries and dynamically\nlinked subprograms that the work is specifically designed to require,\nsuch as by intimate data communication or control flow between those\nsubprograms and other parts of the work.\n\n  The Corresponding Source need not include anything that users\ncan regenerate automatically from other parts of the Corresponding\nSource.\n\n  The Corresponding Source for a work in source code form is that\nsame work.\n\n  2. Basic Permissions.\n\n  All rights granted under this License are granted for the term of\ncopyright on the Program, and are irrevocable provided the stated\nconditions are met.  This License explicitly affirms your unlimited\npermission to run the unmodified Program.  The output from running a\ncovered work is covered by this License only if the output, given its\ncontent, constitutes a covered work.  This License acknowledges your\nrights of fair use or other equivalent, as provided by copyright law.\n\n  You may make, run and propagate covered works that you do not\nconvey, without conditions so long as your license otherwise remains\nin force.  You may convey covered works to others for the sole purpose\nof having them make modifications exclusively for you, or provide you\nwith facilities for running those works, provided that you comply with\nthe terms of this License in conveying all material for which you do\nnot control copyright.  Those thus making or running the covered works\nfor you must do so exclusively on your behalf, under your direction\nand control, on terms that prohibit them from making any copies of\nyour copyrighted material outside their relationship with you.\n\n  Conveying under any other circumstances is permitted solely under\nthe conditions stated below.  Sublicensing is not allowed; section 10\nmakes it unnecessary.\n\n  3. Protecting Users' Legal Rights From Anti-Circumvention Law.\n\n  No covered work shall be deemed part of an effective technological\nmeasure under any applicable law fulfilling obligations under article\n11 of the WIPO copyright treaty adopted on 20 December 1996, or\nsimilar laws prohibiting or restricting circumvention of such\nmeasures.\n\n  When you convey a covered work, you waive any legal power to forbid\ncircumvention of technological measures to the extent such circumvention\nis effected by exercising rights under this License with respect to\nthe covered work, and you disclaim any intention to limit operation or\nmodification of the work as a means of enforcing, against the work's\nusers, your or third parties' legal rights to forbid circumvention of\ntechnological measures.\n\n  4. Conveying Verbatim Copies.\n\n  You may convey verbatim copies of the Program's source code as you\nreceive it, in any medium, provided that you conspicuously and\nappropriately publish on each copy an appropriate copyright notice;\nkeep intact all notices stating that this License and any\nnon-permissive terms added in accord with section 7 apply to the code;\nkeep intact all notices of the absence of any warranty; and give all\nrecipients a copy of this License along with the Program.\n\n  You may charge any price or no price for each copy that you convey,\nand you may offer support or warranty protection for a fee.\n\n  5. Conveying Modified Source Versions.\n\n  You may convey a work based on the Program, or the modifications to\nproduce it from the Program, in the form of source code under the\nterms of section 4, provided that you also meet all of these conditions:\n\n    a) The work must carry prominent notices stating that you modified\n    it, and giving a relevant date.\n\n    b) The work must carry prominent notices stating that it is\n    released under this License and any conditions added under section\n    7.  This requirement modifies the requirement in section 4 to\n    \"keep intact all notices\".\n\n    c) You must license the entire work, as a whole, under this\n    License to anyone who comes into possession of a copy.  This\n    License will therefore apply, along with any applicable section 7\n    additional terms, to the whole of the work, and all its parts,\n    regardless of how they are packaged.  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For a particular\nproduct received by a particular user, \"normally used\" refers to a\ntypical or common use of that class of product, regardless of the status\nof the particular user or of the way in which the particular user\nactually uses, or expects or is expected to use, the product.  A product\nis a consumer product regardless of whether the product has substantial\ncommercial, industrial or non-consumer uses, unless such uses represent\nthe only significant mode of use of the product.\n\n  \"Installation Information\" for a User Product means any methods,\nprocedures, authorization keys, or other information required to install\nand execute modified versions of a covered work in that User Product from\na modified version of its Corresponding Source.  The information must\nsuffice to ensure that the continued functioning of the modified object\ncode is in no case prevented or interfered with solely because\nmodification has been made.\n\n  If you convey an object code work under this section in, or with, or\nspecifically for use in, a User Product, and the conveying occurs as\npart of a transaction in which the right of possession and use of the\nUser Product is transferred to the recipient in perpetuity or for a\nfixed term (regardless of how the transaction is characterized), the\nCorresponding Source conveyed under this section must be accompanied\nby the Installation Information.  But this requirement does not apply\nif neither you nor any third party retains the ability to install\nmodified object code on the User Product (for example, the work has\nbeen installed in ROM).\n\n  The requirement to provide Installation Information does not include a\nrequirement to continue to provide support service, warranty, or updates\nfor a work that has been modified or installed by the recipient, or for\nthe User Product in which it has been modified or installed.  Access to a\nnetwork may be denied when the modification itself materially and\nadversely affects the operation of the network or violates the rules and\nprotocols for communication across the network.\n\n  Corresponding Source conveyed, and Installation Information provided,\nin accord with this section must be in a format that is publicly\ndocumented (and with an implementation available to the public in\nsource code form), and must require no special password or key for\nunpacking, reading or copying.\n\n  7. Additional Terms.\n\n  \"Additional permissions\" are terms that supplement the terms of this\nLicense by making exceptions from one or more of its conditions.\nAdditional permissions that are applicable to the entire Program shall\nbe treated as though they were included in this License, to the extent\nthat they are valid under applicable law.  If additional permissions\napply only to part of the Program, that part may be used separately\nunder those permissions, but the entire Program remains governed by\nthis License without regard to the additional permissions.\n\n  When you convey a copy of a covered work, you may at your option\nremove any additional permissions from that copy, or from any part of\nit.  (Additional permissions may be written to require their own\nremoval in certain cases when you modify the work.)  You may place\nadditional permissions on material, added by you to a covered work,\nfor which you have or can give appropriate copyright permission.\n\n  Notwithstanding any other provision of this License, for material you\nadd to a covered work, you may (if authorized by the copyright holders of\nthat material) supplement the terms of this License with terms:\n\n    a) Disclaiming warranty or limiting liability differently from the\n    terms of sections 15 and 16 of this License; or\n\n    b) Requiring preservation of specified reasonable legal notices or\n    author attributions in that material or in the Appropriate Legal\n    Notices displayed by works containing it; or\n\n    c) Prohibiting misrepresentation of the origin of that material, or\n    requiring that modified versions of such material be marked in\n    reasonable ways as different from the original version; or\n\n    d) Limiting the use for publicity purposes of names of licensors or\n    authors of the material; or\n\n    e) Declining to grant rights under trademark law for use of some\n    trade names, trademarks, or service marks; or\n\n    f) Requiring indemnification of licensors and authors of that\n    material by anyone who conveys the material (or modified versions of\n    it) with contractual assumptions of liability to the recipient, for\n    any liability that these contractual assumptions directly impose on\n    those licensors and authors.\n\n  All other non-permissive additional terms are considered \"further\nrestrictions\" within the meaning of section 10.  If the Program as you\nreceived it, or any part of it, contains a notice stating that it is\ngoverned by this License along with a term that is a further\nrestriction, you may remove that term.  If a license document contains\na further restriction but permits relicensing or conveying under this\nLicense, you may add to a covered work material governed by the terms\nof that license document, provided that the further restriction does\nnot survive such relicensing or conveying.\n\n  If you add terms to a covered work in accord with this section, you\nmust place, in the relevant source files, a statement of the\nadditional terms that apply to those files, or a notice indicating\nwhere to find the applicable terms.\n\n  Additional terms, permissive or non-permissive, may be stated in the\nform of a separately written license, or stated as exceptions;\nthe above requirements apply either way.\n\n  8. Termination.\n\n  You may not propagate or modify a covered work except as expressly\nprovided under this License.  Any attempt otherwise to propagate or\nmodify it is void, and will automatically terminate your rights under\nthis License (including any patent licenses granted under the third\nparagraph of section 11).\n\n  However, if you cease all violation of this License, then your\nlicense from a particular copyright holder is reinstated (a)\nprovisionally, unless and until the copyright holder explicitly and\nfinally terminates your license, and (b) permanently, if the copyright\nholder fails to notify you of the violation by some reasonable means\nprior to 60 days after the cessation.\n\n  Moreover, your license from a particular copyright holder is\nreinstated permanently if the copyright holder notifies you of the\nviolation by some reasonable means, this is the first time you have\nreceived notice of violation of this License (for any work) from that\ncopyright holder, and you cure the violation prior to 30 days after\nyour receipt of the notice.\n\n  Termination of your rights under this section does not terminate the\nlicenses of parties who have received copies or rights from you under\nthis License.  If your rights have been terminated and not permanently\nreinstated, you do not qualify to receive new licenses for the same\nmaterial under section 10.\n\n  9. Acceptance Not Required for Having Copies.\n\n  You are not required to accept this License in order to receive or\nrun a copy of the Program.  Ancillary propagation of a covered work\noccurring solely as a consequence of using peer-to-peer transmission\nto receive a copy likewise does not require acceptance.  However,\nnothing other than this License grants you permission to propagate or\nmodify any covered work.  These actions infringe copyright if you do\nnot accept this License.  Therefore, by modifying or propagating a\ncovered work, you indicate your acceptance of this License to do so.\n\n  10. Automatic Licensing of Downstream Recipients.\n\n  Each time you convey a covered work, the recipient automatically\nreceives a license from the original licensors, to run, modify and\npropagate that work, subject to this License.  You are not responsible\nfor enforcing compliance by third parties with this License.\n\n  An \"entity transaction\" is a transaction transferring control of an\norganization, or substantially all assets of one, or subdividing an\norganization, or merging organizations.  If propagation of a covered\nwork results from an entity transaction, each party to that\ntransaction who receives a copy of the work also receives whatever\nlicenses to the work the party's predecessor in interest had or could\ngive under the previous paragraph, plus a right to possession of the\nCorresponding Source of the work from the predecessor in interest, if\nthe predecessor has it or can get it with reasonable efforts.\n\n  You may not impose any further restrictions on the exercise of the\nrights granted or affirmed under this License.  For example, you may\nnot impose a license fee, royalty, or other charge for exercise of\nrights granted under this License, and you may not initiate litigation\n(including a cross-claim or counterclaim in a lawsuit) alleging that\nany patent claim is infringed by making, using, selling, offering for\nsale, or importing the Program or any portion of it.\n\n  11. Patents.\n\n  A \"contributor\" is a copyright holder who authorizes use under this\nLicense of the Program or a work on which the Program is based.  The\nwork thus licensed is called the contributor's \"contributor version\".\n\n  A contributor's \"essential patent claims\" are all patent claims\nowned or controlled by the contributor, whether already acquired or\nhereafter acquired, that would be infringed by some manner, permitted\nby this License, of making, using, or selling its contributor version,\nbut do not include claims that would be infringed only as a\nconsequence of further modification of the contributor version.  For\npurposes of this definition, \"control\" includes the right to grant\npatent sublicenses in a manner consistent with the requirements of\nthis License.\n\n  Each contributor grants you a non-exclusive, worldwide, royalty-free\npatent license under the contributor's essential patent claims, to\nmake, use, sell, offer for sale, import and otherwise run, modify and\npropagate the contents of its contributor version.\n\n  In the following three paragraphs, a \"patent license\" is any express\nagreement or commitment, however denominated, not to enforce a patent\n(such as an express permission to practice a patent or covenant not to\nsue for patent infringement).  To \"grant\" such a patent license to a\nparty means to make such an agreement or commitment not to enforce a\npatent against the party.\n\n  If you convey a covered work, knowingly relying on a patent license,\nand the Corresponding Source of the work is not available for anyone\nto copy, free of charge and under the terms of this License, through a\npublicly available network server or other readily accessible means,\nthen you must either (1) cause the Corresponding Source to be so\navailable, or (2) arrange to deprive yourself of the benefit of the\npatent license for this particular work, or (3) arrange, in a manner\nconsistent with the requirements of this License, to extend the patent\nlicense to downstream recipients.  \"Knowingly relying\" means you have\nactual knowledge that, but for the patent license, your conveying the\ncovered work in a country, or your recipient's use of the covered work\nin a country, would infringe one or more identifiable patents in that\ncountry that you have reason to believe are valid.\n\n  If, pursuant to or in connection with a single transaction or\narrangement, you convey, or propagate by procuring conveyance of, a\ncovered work, and grant a patent license to some of the parties\nreceiving the covered work authorizing them to use, propagate, modify\nor convey a specific copy of the covered work, then the patent license\nyou grant is automatically extended to all recipients of the covered\nwork and works based on it.\n\n  A patent license is \"discriminatory\" if it does not include within\nthe scope of its coverage, prohibits the exercise of, or is\nconditioned on the non-exercise of one or more of the rights that are\nspecifically granted under this License.  You may not convey a covered\nwork if you are a party to an arrangement with a third party that is\nin the business of distributing software, under which you make payment\nto the third party based on the extent of your activity of conveying\nthe work, and under which the third party grants, to any of the\nparties who would receive the covered work from you, a discriminatory\npatent license (a) in connection with copies of the covered work\nconveyed by you (or copies made from those copies), or (b) primarily\nfor and in connection with specific products or compilations that\ncontain the covered work, unless you entered into that arrangement,\nor that patent license was granted, prior to 28 March 2007.\n\n  Nothing in this License shall be construed as excluding or limiting\nany implied license or other defenses to infringement that may\notherwise be available to you under applicable patent law.\n\n  12. No Surrender of Others' Freedom.\n\n  If conditions are imposed on you (whether by court order, agreement or\notherwise) that contradict the conditions of this License, they do not\nexcuse you from the conditions of this License.  If you cannot convey a\ncovered work so as to satisfy simultaneously your obligations under this\nLicense and any other pertinent obligations, then as a consequence you may\nnot convey it at all.  For example, if you agree to terms that obligate you\nto collect a royalty for further conveying from those to whom you convey\nthe Program, the only way you could satisfy both those terms and this\nLicense would be to refrain entirely from conveying the Program.\n\n  13. Use with the GNU Affero General Public License.\n\n  Notwithstanding any other provision of this License, you have\npermission to link or combine any covered work with a work licensed\nunder version 3 of the GNU Affero General Public License into a single\ncombined work, and to convey the resulting work.  The terms of this\nLicense will continue to apply to the part which is the covered work,\nbut the special requirements of the GNU Affero General Public License,\nsection 13, concerning interaction through a network will apply to the\ncombination as such.\n\n  14. Revised Versions of this License.\n\n  The Free Software Foundation may publish revised and/or new versions of\nthe GNU General Public License from time to time.  Such new versions will\nbe similar in spirit to the present version, but may differ in detail to\naddress new problems or concerns.\n\n  Each version is given a distinguishing version number.  If the\nProgram specifies that a certain numbered version of the GNU General\nPublic License \"or any later version\" applies to it, you have the\noption of following the terms and conditions either of that numbered\nversion or of any later version published by the Free Software\nFoundation.  If the Program does not specify a version number of the\nGNU General Public License, you may choose any version ever published\nby the Free Software Foundation.\n\n  If the Program specifies that a proxy can decide which future\nversions of the GNU General Public License can be used, that proxy's\npublic statement of acceptance of a version permanently authorizes you\nto choose that version for the Program.\n\n  Later license versions may give you additional or different\npermissions.  However, no additional obligations are imposed on any\nauthor or copyright holder as a result of your choosing to follow a\nlater version.\n\n  15. Disclaimer of Warranty.\n\n  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY\nAPPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT\nHOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM \"AS IS\" WITHOUT WARRANTY\nOF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,\nTHE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR\nPURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM\nIS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF\nALL NECESSARY SERVICING, REPAIR OR CORRECTION.\n\n  16. Limitation of Liability.\n\n  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING\nWILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS\nTHE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY\nGENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE\nUSE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF\nDATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD\nPARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),\nEVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF\nSUCH DAMAGES.\n\n  17. Interpretation of Sections 15 and 16.\n\n  If the disclaimer of warranty and limitation of liability provided\nabove cannot be given local legal effect according to their terms,\nreviewing courts shall apply local law that most closely approximates\nan absolute waiver of all civil liability in connection with the\nProgram, unless a warranty or assumption of liability accompanies a\ncopy of the Program in return for a fee.\n\n                     END OF TERMS AND CONDITIONS\n\n            How to Apply These Terms to Your New Programs\n\n  If you develop a new program, and you want it to be of the greatest\npossible use to the public, the best way to achieve this is to make it\nfree software which everyone can redistribute and change under these terms.\n\n  To do so, attach the following notices to the program.  It is safest\nto attach them to the start of each source file to most effectively\nstate the exclusion of warranty; and each file should have at least\nthe \"copyright\" line and a pointer to where the full notice is found.\n\n    <one line to give the program's name and a brief idea of what it does.>\n    Copyright (C) <year>  <name of author>\n\n    This program is free software: you can redistribute it and/or modify\n    it under the terms of the GNU General Public License as published by\n    the Free Software Foundation, either version 3 of the License, or\n    (at your option) any later version.\n\n    This program is distributed in the hope that it will be useful,\n    but WITHOUT ANY WARRANTY; without even the implied warranty of\n    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n    GNU General Public License for more details.\n\n    You should have received a copy of the GNU General Public License\n    along with this program.  If not, see <https://www.gnu.org/licenses/>.\n\nAlso add information on how to contact you by electronic and paper mail.\n\n  If the program does terminal interaction, make it output a short\nnotice like this when it starts in an interactive mode:\n\n    <program>  Copyright (C) <year>  <name of author>\n    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.\n    This is free software, and you are welcome to redistribute it\n    under certain conditions; type `show c' for details.\n\nThe hypothetical commands `show w' and `show c' should show the appropriate\nparts of the General Public License.  Of course, your program's commands\nmight be different; for a GUI interface, you would use an \"about box\".\n\n  You should also get your employer (if you work as a programmer) or school,\nif any, to sign a \"copyright disclaimer\" for the program, if necessary.\nFor more information on this, and how to apply and follow the GNU GPL, see\n<https://www.gnu.org/licenses/>.\n\n  The GNU General Public License does not permit incorporating your program\ninto proprietary programs.  If your program is a subroutine library, you\nmay consider it more useful to permit linking proprietary applications with\nthe library.  If this is what you want to do, use the GNU Lesser General\nPublic License instead of this License.  But first, please read\n<https://www.gnu.org/licenses/why-not-lgpl.html>."
  },
  {
    "path": "MANIFEST.in",
    "content": "include LICENSE\ninclude README.md\nrecursive-include src/aup/dashboard/frontend/febuild/auptimizer-dashboard/ *"
  },
  {
    "path": "R-src/README.md",
    "content": "# Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\n# R Package for Auptimizer\n\n## Installation\n\n*IMPORTANT:*  Auptimizer is well tested on Unix or similar OS.  Windows users may have to make some changes to run Aptimizer.\n\n1. [Install Python Auptimizer](../README.md)\n2. Install Auptimizer for R, (run R from `R-src` folder):\n\n    ```R\n    install.packages(\"devtools\")\n    devtools::install(\"Rpackage\")\n    ```\n\n## Usage\n\nThe workflow for Auptimizer is the same as the Python version.  The difference is in how to change existing R code to use Auptimizer.\n\n1. Setup Python Auptimizer environment using `python -m aup.setup`\n\n2. Change your R script:\n\n   a. Make all hyperparameters global variables.\n\n   b. Add `#!/usr/bin/env Rscript` as the first line.\n\n   c. Add `source(\"auptimizer\")`.\n\n   d. Add `get_config()`, which will automatically update the hyperparameters (set globally in step 2a).\n\n   e. Add `print_result(score)` to return the target score you want to optimize for your script.\n\n   f. Change file permission using `chmod u+x <your_R_script>`.\n\n   g. Add them into an Auptimizer experiment using `python -m aup.init`.\n\n3. Run Auptimizer using `python -m aup experiment.json`.\n\n## Examples\n\nSee examples in [example].\n\n+ `exp_ridge.R` for synthetic Ridge regression. Run as `python -m aup ridge.json`.\n+ `exp_rosenbrock.R` for analytic Rosenbrock function. Run as `python -m aup rosenbrock.json`.\n"
  },
  {
    "path": "R-src/Rpackage/DESCRIPTION",
    "content": "Package: auptimizer\nTitle: R Helper Functions for Auptimizer\nVersion: 0.0.2\nAuthors@R: c(\n    person(given = \"Jiayi\",\n           family = \"Liu\",\n           role = c(\"aut\",\"cre\"),\n           email = \"Jason.Liu@lge.com\",\n           comment = c(ORCID = \"0000-0001-6007-5256\")),\n    person(given = \"Sauptik\",\n           family = \"Dhar\",\n           role = c(\"aut\"),\n           email = \"Sauptik.Dhar@lge.com\"),\n    person(given = \"\",\n           family = \"LG Electronics Inc.\",\n           role = c(\"cph\", \"asn\"),\n           email = \"auptimizer@lge.com\")\n    )\nDescription: Enable R users to use Auptimizer\n    <https://github.com/LGE-ARC-AdvancedAI/auptimizer> for hyperparameter \n    optimization (HPO).  Auptimizer helps data scientists to easily apply HPO \n    in their work and to speed up model training jobs by executing jobs \n    asynchronously when computing resources are available.\nLicense: GPL (>=3)\nEncoding: UTF-8\nLazyData: true\nImports:\n    rjson\nURL: https://github.com/LGE-ARC-AdvancedAI/auptimizer\nBugReports: https://github.com/LGE-ARC-AdvancedAI/auptimizer/issues\nRoxygenNote: 6.1.1\nSuggests: \n    testthat,\n    knitr,\n    rmarkdown\nVignetteBuilder: knitr\n"
  },
  {
    "path": "R-src/Rpackage/NAMESPACE",
    "content": "# Generated by roxygen2: do not edit by hand\n\nexport(get_config)\nexport(print_result)\n"
  },
  {
    "path": "R-src/Rpackage/R/auptimizer.R",
    "content": "# Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\n#' Get hyperparameter configuration\n#'\n#' This function loads a configuration file in JSON format. It assumes that the first argument of the running script is\n#' the configuraiton file.  It will parse and inject the hyperparameter variables into the global environment and return\n#' them.\n#' \n#' \n#' Assuming the R script is used as follows: `./test.R config.json`, the script should look like below:\n#' \n#' \\preformatted{\n#' #!Rscript\n#' \n#' # hyperparameter definitions\n#' get_config() \n#' # use hyperparamter to train model, \n#' # after training, return optimization target (e.g. validation accuracy) as score\n#' print_result(score)\n#' }\n#' \n#' \n#' \n#' @param filename optional JSON filename containing hyperparameters as dict, default to first argument in command line.\n#' @param env optional environment containing hyperparameters, default to global env.\n#' @return a matrix of hyperparameters as name-value pairs\n#' @export\nget_config <- function(filename, env) {\n    if (missing(filename)){\n        args <- commandArgs(TRUE)\n        if (length(args) < 1) {\n            warning(\"R script requires an input configuration file for Auptimzier experiment.\")\n            return()\n        } else if (length(args) > 1) {\n            warning(\"R script takes the first input as configuration file.\")\n        }\n        filename = args[1]\n    }\n    \n    data <- rjson::fromJSON(file=filename)\n    if (missing(env)){\n        env = globalenv()\n    }\n    for (name in names(data)) {\n        if (length(data[name]) > 1){\n            warning(\"Auptimizer only supports hyperparameter as a single value, not a list. Only first value is used\")\n        }\n        # set to global variables\n        assign(name, data[name][[1]], envir = env)\n    }\n    return(data)\n}\n\n\n#' Report result to Auptimizer\n#'\n#' This function reports the results to Auptimizer.  A numerical score will be converted to string automatically.  If \n#' you want to report multiple scores, use ',' to seperate them and only the first value will be used by Auptimzier for\n#' Optimization.\n#' \n#' \n#' Assume the R script is used as follows `./test.R config.json`, the script should look like below:\n#' \n#' \\preformatted{\n#' #!Rscript\n#' \n#' # hyperparameter definitions\n#' get_config() \n#' # use hyperparamter to train model,\n#' # after training, return optimization target (e.g. validation accuracy) as score\n#' print_result(score)\n#' }\n#'\n#' @param score Score to be reported back to Auptimizer\n#' @export\nprint_result <- function(score) {\n    message(paste(\"\\n#Auptimizer:\", score))\n}"
  },
  {
    "path": "R-src/Rpackage/man/get_config.Rd",
    "content": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/auptimizer.R\n\\name{get_config}\n\\alias{get_config}\n\\title{Get hyperparameter configuration}\n\\usage{\nget_config(filename, env)\n}\n\\arguments{\n\\item{filename}{optional JSON filename contains hyperparameters as dict, default to first argument in command line.}\n\n\\item{env}{optional environment contains hyperparameters, de fault to global env.}\n}\n\\value{\nA matrix of the infile\n}\n\\description{\nThis function loads a configuration file in JSON format. It assumes that the first argument of the running script is\nthe configuraiton file.  It will parse and inject the hyperparameter variables into the global environment and return\nthem.\n}\n\\details{\nAssume an R script is used as `./test.R config.json`, the script should look like below:\n\n\\preformatted{\n#!Rscript\n\n# hyperparameter definitions\nget_config() \n# use hyperparamter to train model, \n# after training, return optimization target (e.g. validation accuracy) as score\nprint_result(score)\n}\n}\n"
  },
  {
    "path": "R-src/Rpackage/man/print_result.Rd",
    "content": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/auptimizer.R\n\\name{print_result}\n\\alias{print_result}\n\\title{Report result to Auptimizer}\n\\usage{\nprint_result(score)\n}\n\\arguments{\n\\item{score}{Score to be reported back to Auptimizer}\n}\n\\description{\nThis function reports the results to Auptimizer.  A numerical score will be converted to string automatically.  If \nyou want to report multiple scores, use ',' to seperate them and only the first value will be used by Auptimzier for\nOptimization.\n}\n\\details{\nAssume an R script is used as `./test.R config.json`, the script should look like below:\n\n\\preformatted{\n#!Rscript\n\n# hyperparameter definitions\nget_config() \n# use hyperparamter to train model,\n# after training, return optimization target (e.g. validation accuracy) as score\nprint_result(score)\n}\n}\n"
  },
  {
    "path": "R-src/Rpackage/tests/testthat/test_IO.R",
    "content": "# Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\nlibrary(auptimizer)\n\n\ntest_that(\"auptimizer output format\", {\n  expect_message(print_result(1), '\\n#Auptimizer: 1')\n})\n\n\ntest_that(\"auptimizer input format\", {\n  a <- 2\n  b <- TRUE\n  expect_equal(a, 2)\n  get_config(\"test_io.json\", environment())\n  expect_equal(b, FALSE)\n  expect_equal(a, 1)\n})"
  },
  {
    "path": "R-src/Rpackage/tests/testthat/test_io.json",
    "content": "{\"a\":1,\"b\":false}"
  },
  {
    "path": "R-src/Rpackage/tests/testthat.R",
    "content": "library(testthat)\nlibrary(auptimizer)\n\ntest_check(\"auptimizer\")\n"
  },
  {
    "path": "R-src/Rpackage/vignettes/.gitignore",
    "content": "*.html\n*.R\n"
  },
  {
    "path": "R-src/Rpackage/vignettes/auptimizer.Rmd",
    "content": "<!--  Copyright (c) 2018 LG Electronics Inc.\n SPDX-License-Identifier: GPL-3.0-or-later -->\n---\ntitle: \"Auptimizer\"\noutput: rmarkdown::html_vignette\nvignette: >\n  %\\VignetteIndexEntry{auptimizer}\n  %\\VignetteEngine{knitr::rmarkdown}\n  %\\VignetteEncoding{UTF-8}\n---\n\n\n# R Package for Auptimizer\n\n## Installation\n\n*IMPORTANT:*  Auptimizer is well tested on Unix or similar OS.  Windows users may have to make some changes to run Aptimizer.\n\n1. [Install Python Auptimizer](https://github.com/LGE-ARC-AdvancedAI/auptimizer)\n2. Install R Auptimizer\n\n    ```R\n    install.packages(\"auptimizer\")\n    ```\n\n## Usage\n\nThe workflow for Auptimizer is the same as the Python version.  The difference is in how to change existing R code to use Auptimizer.\n\n1. Setup Python Auptimizer environment using `python -m aup.setup`\n2. Change your R script:\n   a. Make all hyperparameters global variables.\n   b. Add `#!/usr/bin/env Rscript` as the first line.\n   c. Add `library(\"auptimizer\")`.\n   d. Add `get_config()`, which will automatically update the hyperparameters (set globally in step 2a).\n   e. Add `print_result(score)` to return the target score you want to optimize for your script.\n   f. Change file permission using `chmod u+x <your_R_script>`.\n   g. Add them into an Auptimizer experiment using `python -m aup.init`.\n3. Run Auptimizer using `python -m aup experiment.json`.\n\n## Examples\n\nThere are more examples in the `R-src/example` folder on the [Auptimizer Github repo](https://github.com/LGE-ARC-AdvancedAI/auptimizer/).\n\n+ `exp_ridge.R` for synthetic Ridge regression. Run as `python -m aup ridge.json`.\n+ `exp_rosenbrock.R` for analytic Rosenbrock function. Run as `python -m aup rosenbrock.json`.\n\n"
  },
  {
    "path": "R-src/examples/exp_ridge.R",
    "content": "#!/usr/bin/env Rscript\n# Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n#\n# Example code to use Auptimzier.\nlibrary(\"auptimizer\")\nsource(\"ridgeRegression.R\")\n\n\n# Synthetic Data\nNt = 90\nD = 100\nw<-rnorm(D)\ntrainX<-matrix(rnorm(Nt*D,0,1),nrow=Nt,ncol=D)\ntrainy<-trainX%*%w + rnorm(Nt,0,1) # Add Gaussian noise\n\nNv = 40\nvalX<-matrix(rnorm(Nv*D,0,1),nrow=Nv,ncol=D)\nvaly<-valX%*%w + rnorm(Nv,0,1) # Add Gaussian noise\n\n\n# Hyperparameters\nlambda = 1.0\n\nhp <- get_config()\nscore <- ridgeRegression(trainX,trainy,valX,valy,lambda)\nprint_result(score)\n"
  },
  {
    "path": "R-src/examples/exp_rosenbrock.R",
    "content": "#!/usr/bin/env Rscript\n# Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n#\n# Example code to use Auptimzier.\nlibrary(\"auptimizer\")\nsource(\"rosenbrock.R\")\n\n# Hyperparameters\nx <- 10\ny <- 20\n\nget_config()\nscore <- rosen(c(x, y))\nprint_result(score)\n"
  },
  {
    "path": "R-src/examples/ridge.json",
    "content": "{\n  \"script\": \"exp_ridge.R\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 1,\n  \"target\": \"min\",\n  \"workingdir\": \"./\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 0,\n  \"parameter_config\": [\n    {\n      \"name\": \"lambda\",\n      \"range\": [\n        0.001,\n        10\n      ],\n      \"type\": \"float\"\n    }\n  ]\n}"
  },
  {
    "path": "R-src/examples/ridgeRegression.R",
    "content": "# Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\nridgeRegression<-function(trainX,trainy,valX,valy,lambda){\n  #######################################################\n  # A Typical Ridge Regression Problem\n  #######################################################\n  \n  # N =  No. of Training samples, D = Dimension of Problem\n  N<-nrow(trainX)\n  D <-ncol(trainX)\n  I <- diag(D)\n  \n  \n  # Closed form solution for Ridge regression:  min (1/2N)*sum_i (w'*x_i - y_i)^2 + (lambda/2)*||w||^2\n  w <- solve((t(trainX)%*%trainX)/N + lambda*I) %*% ((t(trainX)%*%trainy)/N)\n  \n  \n  # Predict on the validation samples and return the error.\n  valErr<-MSE(valX,valy,w)\n  return(valErr)\n}\n\nMSE<-function(X,y,w){\n  #####################################################\n  # This is the mean squared error\n  #####################################################\n  N <- nrow(X)\n  return((0.5*N)*norm(X%*%w-y))\n}\n\n"
  },
  {
    "path": "R-src/examples/rosenbrock.R",
    "content": "rosen <- function(xx)\n{\n  ##########################################################################\n  #\n  # ROSENBROCK FUNCTION\n  #\n  # Authors: Sonja Surjanovic, Simon Fraser University\n  #          Derek Bingham, Simon Fraser University\n  # Questions/Comments: Please email Derek Bingham at dbingham@stat.sfu.ca.\n  #\n  # Copyright 2013. Derek Bingham, Simon Fraser University.\n  #\n  # THERE IS NO WARRANTY, EXPRESS OR IMPLIED. WE DO NOT ASSUME ANY LIABILITY\n  # FOR THE USE OF THIS SOFTWARE.  If software is modified to produce\n  # derivative works, such modified software should be clearly marked.\n  # Additionally, this program is free software; you can redistribute it \n  # and/or modify it under the terms of the GNU General Public License as \n  # published by the Free Software Foundation; version 2.0 of the License. \n  # Accordingly, this program is distributed in the hope that it will be \n  # useful, but WITHOUT ANY WARRANTY; without even the implied warranty \n  # of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU \n  # General Public License for more details.\n  #\n  # For function details and reference information, see:\n  # http://www.sfu.ca/~ssurjano/\n  #\n  ##########################################################################\n  #\n  # INPUT:\n  #\n  # xx = c(x1, x2, ..., xd)\n  #\n  ##########################################################################\n  \n  d <- length(xx)\n  xi <- xx[1:(d-1)]\n  xnext <- xx[2:d]\n\t\n  sum <- sum(100*(xnext-xi^2)^2 + (xi-1)^2)\n\t\n  y <- sum\n  return(y)\n}\n\n"
  },
  {
    "path": "R-src/examples/rosenbrock.json",
    "content": "{\n  \"script\": \"exp_rosenbrock.R\",\n  \"resource\": \"cpu\",\n  \"n_parallel\": 1,\n  \"target\": \"min\",\n  \"workingdir\": \"./\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 0,\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    },\n    {\n      \"name\": \"y\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    }\n  ]\n}"
  },
  {
    "path": "README.md",
    "content": "# ![Auptimizer Logo](AuptimizerBlackLong.png)\n\n[![Documentation](https://img.shields.io/badge/doc-reference-blue.svg)](https://LGE-ARC-AdvancedAI.github.io/auptimizer)\n[![GPL 3.0 License](https://img.shields.io/badge/License-GPL%203.0-blue.svg)](https://opensource.org/licenses/GPL-3.0)\n[![Build Status](https://travis-ci.com/LGE-ARC-AdvancedAI/auptimizer.svg?branch=master)](https://travis-ci.com/LGE-ARC-AdvancedAI/auptimizer)\n[![coverage report](https://codecov.io/gh/LGE-ARC-AdvancedAI/auptimizer/branch/master/graph/badge.svg)](https://codecov.io/gh/LGE-ARC-AdvancedAI/auptimizer)\n\n**Auptimizer** is an optimization tool for Machine Learning (ML) that automates many of the tedious parts of the model building and deployment process.\nCurrently, **Auptimizer** helps with:\n\n+ **Getting the best models in minimum time** - Generate optimal models and achieve better performance by employing\nstate-of-the-art hyperparameter optimization (HPO) and model compression techniques. Auptimizer will run and record sophisticated HPO and model compression experiments on compute resources of your choice with effortless consistency and reproducibility.\n\n+ **Making your models edge-ready** - Get model-device compatibility and enhanced on-device performance by converting models into the industry-standard ONNX and TensorFlow Lite formats. Auptimizer-Converter provides validated conversion techniques to ensure worry-free format transformations.\n\n+ **Selecting the most suitable model for your edge deployment effortlessly** - Compare how different models will perform under specific compute and memory constraints on a CPU-based edge device. Auptimizer-Profiler will help you identify the most efficient models without the hustle of going through multiple physical deployment cycles.\n\nBest of all, **Auptimizer** offers a consistent interface that allows users to switch between different HPO and compression algorithms, conversion frameworks, and computing resources with minimal changes to the existing code.\n\n## What's New in Auptimizer v2.0\nAuptimizer v2.0 introduces two core capabilities - Dashboard and Compressor!\n\n### Dashboard\n\n[**Auptimizer Dashboard**](https://lge-arc-advancedai.github.io/auptimizer/dashboard.html) is a powerful analytics tool that complements Auptimizer's core hyperparameter optimization (HPO) and model compression capabilities. It provides insightful visualizations to help you track experiment progress, analyze and contrast jobs, experiments, and optimization approaches. Additionally, it can be used to control an experiment or even set up a new Auptimizer environment.\n\n### Compressor\n[**Compressor**](https://lge-arc-advancedai.github.io/auptimizer/compression_main.html) is a model compression tool that helps reduce memory complexity and inference time of neural networks. It is particularly useful for adapting ML models for deployment on resource-constrained edge devices.\n\nSimilar to Auptimizer-Hyperparameter Optimization (HPO), Compressor aims to provide a unified interface to the existing state-of-the-art toolkits. Currently, Compressor leverages [NNI (version 2.0)](https://nni.readthedocs.io/en/latest/model_compression.html) model compression modules. NNI is an open-source toolkit that supports two types of compression, pruning and quantization, for TensorFlow, and PyTorch models. In the future, we will be integrating other off-the-shelf toolkits to expand the selection of model compression approaches.\n\n## Capabilities\n### Hyperparameter Optimization\n\nAuptimizer automates tedious experimentation by performing and recording hyperparameter optimization experiments. Auptimizer provides a single seamless access point to top-notch HPO algorithms, including Bayesian optimization and multi-armed bandit. You can even integrate your own proprietary solution. Moreover, with Auptimizer, you can make the best use of your compute-resources. Whether you are using a couple of GPUs or AWS, Auptimizer will help you orchestrate compute resources for faster hyperparameter tuning. \n\nThe table below shows a full list of currently supported techniques and resources for hyperparameter optimization.\n\n| Supported HPO Algorithms      | Supported Infrastructure |\n| ----------- | ----------- |\n| Random<br>Grid<br>[Hyperband](https://github.com/zygmuntz/hyperband)<br>[Hyperopt](https://github.com/hyperopt/hyperopt)<br>[Spearmint](https://github.com/JasperSnoek/spearmint)<br>[BOHB](https://github.com/automl/HpBandSter)<br>[EAS (experimental)](https://github.com/han-cai/EAS)<br>Passive      | Multiple CPUs<br>Multiple GPUs<br>Multiple Machines (SSH)<br>AWS EC2 instances |\n\n\n### Profiler\n[**Profiler**](https://lge-arc-advancedai.github.io/auptimizer/profiler.html) is a simulator for profiling performance of machine learning model scripts. Given compute- and memory resource constraints for a CPU-based Edge device, Profiler can provide estimates of compute and memory usage for model scripts on the device. These estimations can be used to choose the best performing models or, in certain cases, to predict how much compute and memory models will use on the target device. \n\nBecause Profiler mimics the target device environment on the user's development machine, the user can gain insights into the performance and resource needs of a model script without having to deploy it on the target device. Profiler helps accelerate the model selection cycle and simplifies finding model-device fit. Please see [Profiler](https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/src/aup/profiler) for usages.\n\n### Converter\n[**Converter**](https://lge-arc-advancedai.github.io/auptimizer/dlconvert.html) is a format conversion tool for machine learning models. It encapsulates best practices of individual machine learning model conversions under a single API. Converter makes ML models suitable for edge (on-device) deployments by transforming them into the industry-standard ONNX and TensorFlow Lite formats and reducing model size through quantization.\n\n## Install\n\n**Auptimizer** currently is well tested on Linux systems, it may require some tweaks for Windows users.\n\n```\npip install auptimizer\n```\n\n**Note** Dependencies are not included. Using `pip install`\n[requirements.txt](https://github.com/LGE-ARC-AdvancedAI/auptimizer/blob/master/requirements.txt) will install\nnecessary libraries for all functionalities.\n\nUsage for the UI dashboard:\n```\ndashboard --path <Auptimizer database path> --port <frontend port>\n```\n\n## Documentation\n\nSee more in [documentation](https://lge-arc-advancedai.github.io/auptimizer/) \n\n## Example\n\n```\ncd Examples/demo\n# Setup environment (Interactively create the environment file based on user input)\npython -m aup.setup\n# Setup experiment\npython -m aup.init\n# Create training script - auto.py\npython -m aup.convert origin.py experiment.json demo_func\n# Run aup for this experiment\npython -m aup experiment.json\n```\n\nEach job's hyperparameter configuration is saved separately under `jobs/*.json` and is also recorded in the SQLite file `.aup/sqlite3.db`.\n\n![gif demo](docs/images/demo.gif)\n\nMore examples are under [Examples](https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples).\n\n## License\n\n[GPL 3.0 License](./LICENSE)\n\n\n## Cite\n\nIf you have used this software for research, please cite the following paper (accepted at IEEE Big Data 2019):\n\n```\n@misc{liu2019auptimizer,\n    title={Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning},\n    author={Jiayi Liu and Samarth Tripathi and Unmesh Kurup and Mohak Shah},\n    year={2019},\n    eprint={1911.02522},\n    archivePrefix={arXiv},\n    primaryClass={cs.LG}\n}\n```\n"
  },
  {
    "path": "docs/Database/schema.dot",
    "content": "/*\n * Graphviz of '<_io.TextIOWrapper name='<stdin>' mode='r' encoding='UTF-8'>', created 2018-08-14 18:52:17.684968\n * Generated from https://github.com/rm-hull/sql_graphviz\n */\ndigraph g { graph [ rankdir = \"LR\" ];\n\n  \"user\" [\n    shape=none\n    label=<\n      <table border=\"0\" cellspacing=\"0\" cellborder=\"1\">\n        <tr><td bgcolor=\"lightblue2\"><font face=\"Times-bold\" point-size=\"20\">user</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"uid\"><font face=\"Times-bold\">uid</font>  <font color=\"#535353\">INTEGER PRIMARY KEY NOT NULL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"name\"><font face=\"Times-bold\">name</font>  <font color=\"#535353\">TEXT UNIQUE</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"permission\"><font face=\"Times-bold\">permission</font>  <font color=\"#535353\">BLOB</font></td></tr>\n      </table>\n    >];\n\n  \"resource\" [\n    shape=none\n    label=<\n      <table border=\"0\" cellspacing=\"0\" cellborder=\"1\">\n        <tr><td bgcolor=\"lightblue2\"><font face=\"Times-bold\" point-size=\"20\">resource</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"rid\"><font face=\"Times-bold\">rid</font>  <font color=\"#535353\">INTEGER PRIMARY KEY NOT NULL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"name\"><font face=\"Times-bold\">name</font>  <font color=\"#535353\">TEXT</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"type\"><font face=\"Times-bold\">type</font>  <font color=\"#535353\">TEXT</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"status\"><font face=\"Times-bold\">status</font>  <font color=\"#535353\">TEXT</font></td></tr>\n      </table>\n    >];\n\n  \"experiment\" [\n    shape=none\n    label=<\n      <table border=\"0\" cellspacing=\"0\" cellborder=\"1\">\n        <tr><td bgcolor=\"lightblue2\"><font face=\"Times-bold\" point-size=\"20\">experiment</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"eid\"><font face=\"Times-bold\">eid</font>  <font color=\"#535353\">INTEGER PRIMARY KEY NOT NULL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"uid\"><font face=\"Times-bold\">uid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"start_time\"><font face=\"Times-bold\">start_time</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"end_time\"><font face=\"Times-bold\">end_time</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"exp_config\"><font face=\"Times-bold\">exp_config</font>  <font color=\"#535353\">BLOB</font></td></tr>\n      </table>\n    >];\n\n  \"job\" [\n    shape=none\n    label=<\n      <table border=\"0\" cellspacing=\"0\" cellborder=\"1\">\n        <tr><td bgcolor=\"lightblue2\"><font face=\"Times-bold\" point-size=\"20\">job</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"jid\"><font face=\"Times-bold\">jid</font>  <font color=\"#535353\">INTEGER PRIMARY KEY NOT NULL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"score\"><font face=\"Times-bold\">score</font>  <font color=\"#535353\">REAL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"eid\"><font face=\"Times-bold\">eid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"rid\"><font face=\"Times-bold\">rid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"start_time\"><font face=\"Times-bold\">start_time</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"end_time\"><font face=\"Times-bold\">end_time</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"job_config\"><font face=\"Times-bold\">job_config</font>  <font color=\"#535353\">BLOB</font></td></tr>\n      </table>\n    >];\n\n  \"job_attempt\" [\n    shape=none\n    label=<\n      <table border=\"0\" cellspacing=\"0\" cellborder=\"1\">\n        <tr><td bgcolor=\"lightblue2\"><font face=\"Times-bold\" point-size=\"20\">job_attempt</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"jaid\"><font face=\"Times-bold\">jaid</font>  <font color=\"#535353\">INTEGER PRIMARY KEY NOT NULL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"jid\"><font face=\"Times-bold\">jid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"num\"><font face=\"Times-bold\">num</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"rid\"><font face=\"Times-bold\">rid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"start_time\"><font face=\"Times-bold\">start_time</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"end_time\"><font face=\"Times-bold\">end_time</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n      </table>\n    >];\n\n  \"intermediate_result\" [\n    shape=none\n    label=<\n      <table border=\"0\" cellspacing=\"0\" cellborder=\"1\">\n        <tr><td bgcolor=\"lightblue2\"><font face=\"Times-bold\" point-size=\"20\">intermediate_result</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"irid\"><font face=\"Times-bold\">irid</font>  <font color=\"#535353\">INTEGER PRIMARY KEY NOT NULL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"num\"><font face=\"Times-bold\">num</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"score\"><font face=\"Times-bold\">score</font>  <font color=\"#535353\">REAL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"jid\"><font face=\"Times-bold\">jid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"receive_time\"><font face=\"Times-bold\">receive_time</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n      </table>\n    >];\n\n  \"multiple_result\" [\n    shape=none\n    label=<\n      <table border=\"0\" cellspacing=\"0\" cellborder=\"1\">\n        <tr><td bgcolor=\"lightblue2\"><font face=\"Times-bold\" point-size=\"20\">multiple_result</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"mrid\"><font face=\"Times-bold\">mrid</font>  <font color=\"#535353\">INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"label_order\"><font face=\"Times-bold\">label_order</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"value\"><font face=\"Times-bold\">value</font>  <font color=\"#535353\">REAL</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"receive_time\"><font face=\"Times-bold\">receive_time</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"jid\"><font face=\"Times-bold\">jid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"irid\"><font face=\"Times-bold\">irid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"eid\"><font face=\"Times-bold\">eid</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n        <tr><td bgcolor=\"grey96\" align=\"left\" port=\"is_last_result\"><font face=\"Times-bold\">is_last_result</font>  <font color=\"#535353\">INTEGER</font></td></tr>\n      </table>\n    >];\n\n  \"experiment\":uid -> \"user\":uid;\n  \"job\":eid -> \"experiment\":eid;\n  \"job\":rid -> \"resource\":rid; \n  \"job\":jid -> \"job_attempt\":jid;\n  \"job\":jid -> \"intermediate_result\":jid;\n  \"job\":jid -> \"multiple_result\":jid;\n  \"intermediate_result\":irid -> \"multiple_result\":irid\n}\n"
  },
  {
    "path": "docs/Database/schema.sql",
    "content": "CREATE TABLE user\n    (uid INTEGER PRIMARY KEY NOT NULL, name TEXT UNIQUE, permission BLOB);\nCREATE TABLE resource\n    (rid INTEGER PRIMARY KEY NOT NULL, name TEXT, type TEXT, status TEXT);\nCREATE TABLE experiment \n    (eid INTEGER PRIMARY KEY NOT NULL, uid INTEGER, start_time INTEGER, end_time INTEGER, exp_config BLOB,\n    FOREIGN KEY(uid) REFERENCES user(uid));\nCREATE TABLE job\n    (jid INTEGER PRIMARY KEY NOT NULL, score REAL, eid INTEGER, rid INTEGER, start_time INTEGER, end_time INTEGER,\n    job_config BLOB,\n    FOREIGN KEY(eid) REFERENCES experiment(eid),\n    FOREIGN KEY(rid) REFERENCES resource(rid));\nCREATE TABLE job_attempt\n        (jaid INTEGER PRIMARY KEY NOT NULL, jid INTEGER, num INTEGER, rid INTEGER, start_time INTEGER, end_time INTEGER,\n        FOREIGN KEY(jid) REFERENCES job(jid),\n        FOREIGN KEY(rid) REFERENCES resource(rid));\nCREATE TABLE intermediate_result\n        (irid INTEGER PRIMARY KEY NOT NULL, num INTEGER, score REAL, jid INTEGER, receive_time INTEGER,\n        FOREIGN KEY(jid) REFERENCES job(jid));\nCREATE TABLE multiple_result\n        (mrid INTEGER PRIMARY KEY NOT NULL, label_order INTEGER, value REAL, receive_time INTEGER,\n        jid INTEGER, irid INTEGER, eid INTEGER, is_last_result INTERGER,\n        FOREIGN KEY(jid) REFERENCES job(jid),\n        FOREIGN KEY(irid) REFERENCES intermediate_result(irid),\n        FOREIGN KEY(eid) REFERENCES experiment(eid));\n"
  },
  {
    "path": "docs/Database/sql_graphviz.py",
    "content": "#!/usr/bin/env python\n# https://github.com/rm-hull/sql_graphviz\n# run  dot -Tpdf schema.dot > schema.pdf\nimport sys\nfrom datetime import datetime\nfrom pyparsing import alphas, alphanums, Literal, Word, Forward, OneOrMore, ZeroOrMore, CharsNotIn, Suppress, QuotedString, Optional\n\n\ndef field_act(s, loc, tok):\n    return '<tr><td bgcolor=\"grey96\" align=\"left\" port=\"{0}\"><font face=\"Times-bold\">{0}</font>  <font color=\"#535353\">{1}</font></td></tr>'.format(tok[0].replace('\"', ''), ' '.join(tok[1::]).replace('\"', '\\\\\"'))\n\n\ndef field_list_act(s, loc, tok):\n    return \"\\n        \".join(tok)\n\n\ndef create_table_act(s, loc, tok):\n    return '''\n  \"{tableName}\" [\n    shape=none\n    label=<\n      <table border=\"0\" cellspacing=\"0\" cellborder=\"1\">\n        <tr><td bgcolor=\"lightblue2\"><font face=\"Times-bold\" point-size=\"20\">{tableName}</font></td></tr>\n        {fields}\n      </table>\n    >];'''.format(**tok)\n\n\ndef add_fkey_act(s, loc, tok):\n    return '  \"{tableName}\":{keyName} -> \"{fkTable}\":{fkCol}'.format(**tok)\n\n\ndef other_statement_act(s, loc, tok):\n    return \"\"\n\n\ndef grammar():\n    parenthesis = Forward()\n    parenthesis <<= \"(\" + ZeroOrMore(CharsNotIn(\"()\") | parenthesis) + \")\"\n\n    field_def = OneOrMore(Word(alphanums + \"_\\\"'`:-\") | parenthesis)\n    field_def.setParseAction(field_act)\n\n    tablename_def = ( Word(alphas + \"`_\") | QuotedString(\"\\\"\") )\n\n    field_list_def = field_def + ZeroOrMore(Suppress(\",\") + field_def)\n    field_list_def.setParseAction(field_list_act)\n\n    create_table_def = Literal(\"CREATE\") + \"TABLE\" + tablename_def.setResultsName(\"tableName\") + \"(\" + field_list_def.setResultsName(\"fields\") + \")\" + \";\"\n    create_table_def.setParseAction(create_table_act)\n\n    add_fkey_def = Literal(\"FOREIGN\") + \"KEY\" + \"(\" + Word(alphanums).setResultsName(\"keyName\") + \")\" + \"REFERENCES\" + Word(alphanums).setResultsName(\"fkTable\") + \"(\" + Word(alphanums + \"_\").setResultsName(\"fkCol\") + \")\" + Optional(Literal(\"DEFERRABLE\")) + \";\"\n    add_fkey_def.setParseAction(add_fkey_act)\n\n    other_statement_def = OneOrMore(CharsNotIn(\";\")) + \";\"\n    other_statement_def.setParseAction(other_statement_act)\n\n    comment_def = \"--\" + ZeroOrMore(CharsNotIn(\"\\n\"))\n    comment_def.setParseAction(other_statement_act)\n\n    return OneOrMore(comment_def | create_table_def | add_fkey_def | other_statement_def)\n\n\ndef graphviz(filename):\n    print(\"/*\")\n    print(\" * Graphviz of '%s', created %s\" % (filename, datetime.now()))\n    print(\" * Generated from https://github.com/rm-hull/sql_graphviz\")\n    print(\" */\")\n    print(\"digraph g { graph [ rankdir = \\\"LR\\\" ];\")\n\n    for i in grammar().parseFile(filename):\n        if i != \"\":\n            print(i)\n    print(\"}\")\n\nif __name__ == '__main__':\n    filename = sys.stdin if len(sys.argv) == 1 else sys.argv[1]\n    graphviz(filename)\n"
  },
  {
    "path": "docs/Dockerfile",
    "content": "FROM nginx\nCOPY _build/html /usr/share/nginx/html\n\n# fix version urls\nRUN mkdir /usr/share/nginx/html/archive\nRUN mv /usr/share/nginx/html/_static/*.whl /usr/share/nginx/html/archive\nRUN mv /usr/share/nginx/html/_static/aup.py /usr/share/nginx/html/archive/"
  },
  {
    "path": "docs/LICENSE",
    "content": "                    GNU GENERAL PUBLIC LICENSE\n                       Version 3, 29 June 2007\n\n Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>\n Everyone is permitted to copy and distribute verbatim copies\n of this license document, but changing it is not allowed.\n\n                            Preamble\n\n  The GNU General Public License is a free, copyleft license for\nsoftware and other kinds of works.\n\n  The licenses for most software and other practical works are designed\nto take away your freedom to share and change the works.  By contrast,\nthe GNU General Public License is intended to guarantee your freedom to\nshare and change all versions of a program--to make sure it remains free\nsoftware for all its users.  We, the Free Software Foundation, use the\nGNU General Public License for most of our software; it applies also to\nany other work released this way by its authors.  You can apply it to\nyour programs, too.\n\n  When we speak of free software, we are referring to freedom, not\nprice.  Our General Public Licenses are designed to make sure that you\nhave the freedom to distribute copies of free software (and charge for\nthem if you wish), that you receive source code or can get it if you\nwant it, that you can change the software or use pieces of it in new\nfree programs, and that you know you can do these things.\n\n  To protect your rights, we need to prevent others from denying you\nthese rights or asking you to surrender the rights.  Therefore, you have\ncertain responsibilities if you distribute copies of the software, or if\nyou modify it: responsibilities to respect the freedom of others.\n\n  For example, if you distribute copies of such a program, whether\ngratis or for a fee, you must pass on to the recipients the same\nfreedoms that you received.  You must make sure that they, too, receive\nor can get the source code.  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  },
  {
    "path": "docs/Makefile",
    "content": "# Minimal makefile for Sphinx documentation\n#\n\n# You can set these variables from the command line.\nSPHINXOPTS    =\nSPHINXBUILD   = sphinx-build\nSPHINXPROJ    = ContinuousTrainingEngine\nSOURCEDIR     = .\nBUILDDIR      = _build\n\n# Put it first so that \"make\" without argument is like \"make help\".\nhelp:\n\t@$(SPHINXBUILD) -M help \"$(SOURCEDIR)\" \"$(BUILDDIR)\" $(SPHINXOPTS) $(O)\n\n.PHONY: help Makefile\n\n# Catch-all target: route all unknown targets to Sphinx using the new\n# \"make mode\" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).\n%: Makefile\n\t# pandoc ../README.md -o tmp.rst;sed 's/docs\\///g' tmp.rst > README.rst;rm tmp.rst\n\t@$(SPHINXBUILD) -M $@ \"$(SOURCEDIR)\" \"$(BUILDDIR)\" $(SPHINXOPTS) $(O)"
  },
  {
    "path": "docs/README.rst",
    "content": "Auptimizer Quickstart\n=====================\n\n|GPL 3.0 License| |pipeline status| |coverage report| |repo url|\n\n**Auptimizer** is an optimization tool for Machine Learning (ML) that automates many of the tedious parts of the model building and deployment process.\nCurrently, **Auptimizer** helps with:\n\n-  **Getting the best models in minimum time** - Generate optimal models \n   and achieve better performance by employing state-of-the-art hyperparameter \n   optimization (HPO) and model compression techniques techniques. Auptimizer will run and record sophisticated \n   HPO and model compression experiments on compute resources of your choice with effortless consistency \n   and reproducibility.\n\n-  **Making your models edge-ready** - Get model-device compatibility and \n   enhanced on-device performance by converting models into the industry-standard \n   ONNX and TensorFlow Lite formats. Auptimizer-Converter provides validated \n   conversion techniques to ensure worry-free format transformations.\n\n-  **Selecting the most suitable model for your edge deployment effortlessly** \n   - Compare how different models will perform under specific compute and memory \n   constraints on a CPU-based edge device. Auptimizer-Profiler will help you identify \n   the most efficient models without the hustle of going through multiple physical \n   deployment cycles.\n\nBest of all, **Auptimizer** offers a consistent interface that allows\nusers to switch between different HPO and compression algorithms, conversion frameworks, \nand computing resources with minimal changes to the existing code.\n\nWhat's New in Auptimizer v2.0\n-----------------------------\nAuptimizer v2.0 introduces two core capabilites - Dashboard and Compressor!\n\nDashboard\n~~~~~~~~~\n`Auptimizer Dashboard <https://lge-arc-advancedai.github.io/auptimizer/dashboard.html>`__ \nis a powerful analytics tool that complements Auptimizer's core hyperparameter optimization \n(HPO) and model compression capabilities. It provides insightful visualizations to help you \ntrack experiment progress, analyze and contrast jobs, experiments, and optimization approaches. \nAdditionally, it can be used to control an experiment or even set up a new Auptimizer environment.\n\nCompressor\n~~~~~~~~~~\n`Compressor <https://lge-arc-advancedai.github.io/auptimizer/compression_main.html>`__ \nis a model compression tool that helps reduce memory complexity and inference time of \nneural networks. It is particularly useful for adapting ML models for deployment on \nresource-constrained edge devices.\n\nSimilar to Auptimizer-Hyperparameter Optimization (HPO), Compressor aims to provide \na unified interface to the existing state-of-the-art toolkits. Currently, Compressor \nleverages `NNI (version 2.0) <https://nni.readthedocs.io/en/latest/model_compression.html>`__ \nmodel compression modules. NNI is an open-source toolkit that supports two types of compression, \npruning and quantization, for TensorFlow, and PyTorch models. In the future, we will be integrating \nother off-the-shelf toolkits to expand the selection of model compression approaches.\n\nCapabilities\n------------\nHyperparameter Optimization\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\nAuptimizer automates tedious experimentation by performing and recording \nhyperparameter experiments. Auptimizer provides a single seamless access \npoint to top-notch HPO algorithms, including Bayesian optimization and multi-armed \nbandit. You can even integrate your own proprietary solution. Moreover, with \nAuptimizer, you can make the best use of your compute-resources. Whether you are \nusing a couple of GPUs or AWS, Auptimizer will help you orchestrate compute resources \nfor faster hyperparameter tuning. \n\nThe table below shows a full list of currently supported techniques and resources \nfor hyperparameter optimization.\n\n+----------------------------------------------------------------+-----------------------------------+\n| Supported HPO Algorithms                                       | Supported Infrastructure          |\n+================================================================+===================================+\n| | Random                                                       | | Multiple CPUs                   |\n| | Grid                                                         | | Multiple GPUs                   |\n| | `Hyperband <https://github.com/zygmuntz/hyperband>`__        | | Multiple Machines (SSH)         |\n| | `Hyperopt <https://github.com/hyperopt/hyperopt>`__          | | EC2 instances                   |\n| | `Spearmint <https://github.com/JasperSnoek/spearmint>`__     |                                   |\n| | `BOHB <https://github.com/automl/HpBandSter>`__              |                                   |\n| | `EAS (experimental) <https://github.com/han-cai/EAS>`__      |                                   |\n| | Passive                                                      |                                   |\n+----------------------------------------------------------------+-----------------------------------+\n\nProfiler\n~~~~~~~~\n`Profiler <https://lge-arc-advancedai.github.io/auptimizer/profiler.html>`__ \nis a simulator for profiling performance of machine learning model scripts. Given compute- and memory \nresource constraints for a CPU-based Edge device, Profiler can provide estimates of compute and memory \nusage for model scripts on the device. These estimations can be used to choose best performing models or, \nin certain cases, to predict how much compute and memory models will use on the target device. \n\nBecause Profiler mimics the target device environment on the user's development machine, the user \ncan gain insights about the performance and resource needs of a model script without having to \ndeploy it on the target device. Profiler helps accelerate the model selection cycle and simplifies \nfinding model-device fit. Please see :doc:`prof_readme` for usages.\n\nConverter\n~~~~~~~~~\n`Converter <https://lge-arc-advancedai.github.io/auptimizer/dlconvert.html>`__ \nis a format conversion tool for machine learning models. It encapsulates best practices of individual \nmachine learning model conversions under a single API. Converter makes ML models suitable for edge \n(on-device) deployments by transforming them into the industry-standard ONNX and TensorFlow Lite formats \nand reducing model size through quantization. Please see :doc:`dlconvert_readme` for usages.\n\nInstall\n-------\n\n**Auptimizer** currently is well tested on Linux systems, it may require\nsome tweaks for Windows users.\n\n::\n\n   pip install auptimizer\n\n**Note** Dependencies are not included. Using ``pip install -r``\n`requirements.txt <https://github.com/LGE-ARC-AdvancedAI/auptimizer/blob/master/requirements.txt>`_ will install\nnecessary libraries for all functionalities.\n\nExample\n-------\n\n::\n\n   cd Examples/demo\n   # Setup environment (Interactively create the environment file based on user input)\n   python -m aup.setup\n   # Setup experiment\n   python -m aup.init\n   # Create training script - auto.py\n   python -m aup.convert origin.py experiment.json demo_func\n   # Run aup for this experiment\n   python -m aup experiment.json\n\nEach job’s hyperparameter configuration is saved separately under\n``jobs/*.json`` and is also recorded in the SQLite file\n``.aup/sqlite3.db``.\n\n.. figure:: ./images/demo.gif\n   :alt: demo\n\nLicense\n-------\n\n`GPL 3.0 License <./LICENSE>`__\n\n.. |GPL 3.0 License| image:: https://img.shields.io/badge/License-GPL%203.0-blue.svg\n    :target: https://opensource.org/licenses/GPL-3.0\n.. |pipeline status| image:: https://travis-ci.org/LGE-ARC-AdvancedAI/auptimizer.svg?branch=master\n   :target: https://travis-ci.org/LGE-ARC-AdvancedAI/auptimizer\n.. |coverage report| image:: https://codecov.io/gh/LGE-ARC-AdvancedAI/auptimizer/branch/master/graph/badge.svg\n   :target: https://codecov.io/gh/LGE-ARC-AdvancedAI/auptimizer\n.. |repo url| image:: https://img.shields.io/badge/github-repo-information.svg\n    :target: https://github.com/LGE-ARC-AdvancedAI/auptimizer\n\n\nCite\n----\n\nIf you have used this software for research, please cite the following paper (accepted at IEEE Big Data 2019):\n\n.. code-block:: none\n\n   @misc{liu2019auptimizer,\n    title={Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning},\n    author={Jiayi Liu and Samarth Tripathi and Unmesh Kurup and Mohak Shah},\n    year={2019},\n    eprint={1911.02522},\n    archivePrefix={arXiv},\n    primaryClass={cs.LG}\n   }"
  },
  {
    "path": "docs/_static/.gitkeep",
    "content": ""
  },
  {
    "path": "docs/algorithm.rst",
    "content": "Configure HPO Algorithm\n=======================\n\nSupported algorithms\n--------------------\n\n**Auptimizer** supports a number of different HPO algorithms.  The names and descriptions are listed below:\n\n===========  ============================================================================================================================\nName         Algorithm\n===========  ============================================================================================================================\npassive      Manually run job (for debug purpose)\nrandom       Random search\nsequence     Grid Search\nspearmint    `Spearmint <https://github.com/JasperSnoek/spearmint>`_: Bayesian Optimization based on Gaussian Process\nbohb         `HpBandSter <https://automl.github.io/HpBandSter/build/html/index.html>`_: Bayesian Optimization and HyperBand\nhyperopt     `Hyperopt <http://hyperopt.github.io/hyperopt/>`_: Bayesian Optimization with Tree of Parzen Estimators (TPE)\nhyperband    `Hyperband <https://github.com/zygmuntz/hyperband>`_: Multi-armed bandit approach\neas          `EAS <https://github.com/han-cai/EAS>`_: Efficient Architecture Search by Network Transformation (Illustration purpose)\n===========  ============================================================================================================================\n\n\nUse ``python -m aup.init`` to set up the experiment configuration interactively.\n\nFor finer control, advanced users can change the configuration manually by directly modifying the ``experiment.json``\nfile.\n\nConfiguration details\n---------------------\n\nBelow we cover the most common pieces. For requirements related to specific algorithms, please refer to the respective\ndocumentation.\n\nThe general structure of the configuration file is as follows::\n\n {\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"random_seed\": 1,\n  \"script\": \"auto.py\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        -5,\n        5\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"resource\": \"cpu\",\n  \"resource_args\": {\n    \"save_model\": true\n  },\n  \"job_failure\": {\n    \"job_retries\": 3,\n    \"ignore_fail\": true\n  },\n  \"n_parallel\": 3,\n  \"target\":\"min\",\n  \"workingdir:\"./\"\n }\n\n\n================ ======== ==============================================================================\nName             Default  Explanation\n================ ======== ==============================================================================\nproposer         random   hpo method used to propose new hyperparameter values (see below for full list)\nn_samples        10       number of jobs to run\nscript           -        script to run\nn_parallel       1        number of parallel jobs\njob_retries      0        number of retries for failed jobs. \nignore_fail      False    whether to continue the experiment if a job fails. \ntarget           max      search for max or min\nresource         -        type of resource to run the experiment, [cpu, gpu, aws, node, passive]\nparameter_config {}       hyperparameter specification (see below)\nworkingdir       \"./\"     path to run the script, important for running jobs remotely (SSH/AWS)\nresource_args    {}       other parameters to enable features like tracking intermediate results, saving best model, etc (see below)\n================ ======== ==============================================================================\n\nfor ``parameter_config``:\n\n================= ======================================================================================\nName              Content                                                                               \n================= ======================================================================================\nname              name of the hyperparameter variable. Must be the same as used in the training script\nrange             [min, max] or a list of values                                                   \ntype              `float`, `int`, `choice` types are supported                                     \n================= ======================================================================================\n\nMinor modifications or changes may be required for each algorithm. These options can be found at the corresponding API\npages under :doc:`aup.Proposer` (see API links below).\n\nfor ``resource_args``:\n\n========================== ======== ==============================================================================\nName                       Default  Explanation\n========================== ======== ==============================================================================\nsave_model                 False    whether to save the best performing model (see below)\nmulti_res_labels           None     a list of additional results to be tracked, e.g. [\"flops\", \"param\"]\ntrack_intermediate_results False    if true, intermediate results during training epoches will be tracked\nearly_stop                 None     parameters related to early stopping strategies\n========================== ======== ==============================================================================\n\nFor details of the ``early_stop`` parameter and how to apply early stopping strategies to HPO experiments, please refer to \n:doc:`Early Stopping <early_stop>`. \n\n``resource_args`` can also include SSH/AWS specific parameters, please refer to :ref:`AWSRuntimeAnchor` for more details.\n\n**Note**: \n\n| If ``job_failure`` is not specified, the experiment will stop whenever a job fails.\n| For ``job_retries``, preferance is given to a different resource, if multiple resources are available.\n| For ``ignore_fail``, currently [BOHB, EAS, Hyperband] proposers do not support experiment continuation upon job failure.\n\nAdditional functionalities\n--------------------------\nTrack intermediate results\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThis feature allows the user to save and track multiple intermediate results at different points during the HPO experiment. Auptimizer still uses the final result as the main result for the HPO algorithm, but saves the intermediate records in the database under the table ``intermediate_results``.\n\n\nUsage\n@@@@@\n\nThe feature can be used by adding the following parameter to the experiment configuration file::\n\n\n  \"resource_args\": {\n    \"track_intermediate_results\": true\n   }\n\nThen in the training script, ``aup.print_result(res)`` should be placed where the user wants the results to be tracked::\n\n  def main(*args, **kwargs):\n      # model and data preparation\n      for epoch in range(n_epochs):\n          # training for one epoch\n          aup.print_result(res)\n\nIn the above example, the intermediate results are returned every epoch. The result at last epoch is regarded as the main result for the user script and is then used by the HPO algorithm.\n\nThe intermediate results will be shown on the dashboard if tracked.\n\n**Note**: It is possible to use multiple results feature in conjunction with intermediate results to track multiple intermediate results as well.\n\n\n\nSave the best model\n~~~~~~~~~~~~~~~~~~~\nThis feature allows the user to save the best performing model after running the HPO experiment. This is achieved by\nrunning the training script again using the best hyperparamters obtained during HPO the experiment. \nThe model, by default, will be saved to path ``aup_models/models_<eid>/<user_defined_model_path>``. \n\nUsage\n@@@@@\n\nIn order to use this feature, please add the following parameter to the experiment configuration file::\n\n  \"resource_args\": {\n    \"save_model\": true\n   }\n\nDepending on whether the ``@aup_args`` decorator is used, the training script needs the following additional modifications.\n\nIf ``@aup_args`` is used, the user needs to define a funtion to save the model, and register this function with ``aup_save_model``. \nWe suggest using this approach if running the experiment on remote machines (SSH/AWS) to be able to correctly locate and retrieve the model saved \non the remote machine. \n\nPlease see the example below::\n\n  # define a function \"save_model(model)\" to save the model to a user-defined path\n  def save_model(model):\n      os.makedirs('model_train')\n      model.save('./model_train/mnist.h5')\n  \n  @aup_args\n  def main(*args, **kwargs):\n      # training code\n      ...\n      # register the model saving function with model as argument\n      aup.aup_save_model(save_model, model)\n\n      ...\n\nIf ``@aup_args`` is not used, the user needs to manually check whether the ``save_model`` parameter is True in the job's \nconfiguration. The main function should also take ``save_model`` and ``folder_name`` as arguments. Please see the \nexample below::\n\n  def main(*args, **kwargs, save_model=False, folder_name=None):\n      # training code\n      ...\n      if save_model is True:\n          # manually locate the path for saving the model\n          # this is important if running on remote machines\n          path = os.path.join('aup_models', folder_name)\n\n          if os.path.exists('aup_models') is False:\n              os.makedirs('aup_models')\n\n          if os.path.exists(path) is True:\n              shutil.rmtree(path)\n\n          os.makedirs(path)\n          os.chdir(path)\n\n          model.save('./model_train/mnist.h5')\n      ...\n\nReturn multiple results\n~~~~~~~~~~~~~~~~~~~~~~~\n\n\nThis feature allows the user to save and track multiple secondary results along with the primary result for the HPO experiment. Auptimizer still uses the main result for the HPO algorithm, but saves the secondary results in the database under the table ``multiple_results``. There is no upper limit \non how many secondary results the user can track.\n\n\nUsage \n@@@@@\n\n\nThe feature can be used by adding the following parameter to the experiment configuration file::\n\n  \"resource_args\": {\n    \"multi_res_labels\": [\"x\", \"y\"]\n  }\n\nIn the above configuration file, ``x`` and ``y`` are the secondary results the user wants to track and record. The user script would then return the results as a list including the primary result ``res`` along with the secondary parameters as follows::\n\n  @aup_args\n  def HPO():\n    res = calculate_results()\n    return [res, x, y]\n\nIn the above example, ``res`` is the primary result which is always placed at the first index of the returned list, which will be used by the HPO algorithm. The remaining results are matched directly with the list provided in ``multi_res_labels``. Hence, the length of the returned list from user script is  1 + length of ``multi_res_labels`` parameter.\n\n**Note**: It is possible to use multiple results feature in conjunction with intermediate results to track multiple intermediate results as well.\n\n\n\nPause and resume jobs\n~~~~~~~~~~~~~~~~~~~~~\n+ Serial: optimize parameters by running jobs sequentially\n+ Parallel: optimize parameters by running jobs in parallel\n+ Pause: pause and save current HPO status\n+ Resume: resume previously paused HPO process\n\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n| Algorithm | Documentation                                   | Serial | Parallel | Pause (save) | Resume |\n+===========+=================================================+========+==========+==============+========+\n| Random    | :class:`aup.Proposer.RandomProposer`            | |Y|    | |Y|      | |Y|          | |Y|    |\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n| Sequence  | :class:`aup.Proposer.SequenceProposer`          | |Y|    | |Y|      | |Y|          | |Y|    |\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n| Passive   | :class:`aup.EE.Resource.PassiveResourceManager` | |Y|    | |Y|      | |Y|          | |Y|    |\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n| Spearmint | :class:`aup.Proposer.SpearmintProposer`         | |Y|    | |Y|      | |N|          | |N|    |\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n| Hyperopt  | :class:`aup.Proposer.HyperoptProposer`          | |Y|    | |Y|      | |N|          | |N|    |\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n| Hyperband | :class:`aup.Proposer.HyperbandProposer`         | |Y|    | |Y|      | |N|          | |N|    |\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n| BOHB      | :class:`aup.Proposer.BOHBProposer`              | |Y|    | |Y|      | |N|          | |N|    |\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n| EAS       | :class:`aup.Proposer.EASProposer`               | |Y|    | |N|      | |N|          | |N|    |\n+-----------+-------------------------------------------------+--------+----------+--------------+--------+\n\n\n.. |Y| unicode:: U+2713 .. checked\n.. |N| unicode:: U+274C .. no check\n.. |?| unicode:: U+274C .. check pending\n\n\n"
  },
  {
    "path": "docs/archive/aup.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nAuptimizer client side functions\n================================\n\nThis file can be copied to a remote machine instead of installing the whole Auptimizer package for job execution.\n\nAPIs\n----\n\"\"\"\nfrom __future__ import print_function\n\nimport logging\nimport json\nimport pickle\nimport sys\nimport inspect\nimport functools\nimport os\nimport shutil\n\nlogger = logging.getLogger(\"aup-minimal\")\n\n# supported data loading format\n_SUPPORT_FORMAT = (\"pkl\", \"json\")\n\nglobal user_callback_fn\nglobal user_args\nglobal user_kwargs\n\nuser_callback_fn = None\nuser_args = []\nuser_kwargs = {}\n\ndef print_result(result):\n    \"\"\"Function to print the result for :func:`parse_result`.\n    This function should be the last line of your training code\n\n    :param result: result from training code\n    :type result: str\n    \"\"\"\n    if result is list:\n        result = ','.join([str(r) for r in result])\n    else:\n        result = str(result).lstrip()  # avoid line break\n    # force flush to get intermediate results in real time\n    print(\"\\n#Auptimizer:%s\" % result, file=sys.stderr, flush=True)\n\nclass BasicConfig(dict):\n    \"\"\"\n    User-friendly :class:`dict` supports:\n\n    * load and save for json/pickle format (.json/.pkl)\n    * easy key/value access as config.key or config[\"key\"]\n    * compatible with :class:`dict`\n\n    :param kwargs: key-value pairs to initialize the configuration\n    :type kwargs: dict\n    \"\"\"\n    def load(self, filename):\n        \"\"\"Load config parameters from JSON/pickle file\n\n        :param filename: file name ends with [.json|.pkl]\n        :type filename: string\n        :return: configuration parsed from file\n        :rtype: aup.BasicConfig\n        \"\"\"\n        name = \"_load_\" + BasicConfig._get_format(filename)\n        func = getattr(self, name)\n        data = func(filename)\n        if type(data) is not dict:\n            raise TypeError(\"Config must be dict\")\n        self.update(data)\n        logger.debug(\"Load config from %s: %s\" % (filename, data.__str__()))\n        return self\n\n    def save(self, filename):\n        \"\"\"\n        Save configuration as dict in JSON/pickle\n\n        :param filename: file name ends with [.json|.pkl]\n        :type filename: string\n        \"\"\"\n        name = \"_save_\" + BasicConfig._get_format(filename)\n        func = getattr(self, name)\n        func(filename)\n        logger.debug(\"Config saved to %s\" % filename)\n\n    @staticmethod\n    def _get_format(filename):\n        name = filename.split(\".\")[-1].lower()\n        if name not in _SUPPORT_FORMAT:\n            raise ValueError(\"Un-support file format, choose from %s.\" % \",\".join(_SUPPORT_FORMAT))\n        return name\n\n    @staticmethod\n    def _load_json(filename):\n        with open(filename, 'r') as f:\n            return json.load(f)\n\n    @staticmethod\n    def _load_pkl(filename):\n        with open(filename, 'rb') as f:\n            return pickle.load(f)\n\n    def _save_json(self, filename):\n        with open(filename, 'w') as f:\n            json.dump(self, f)\n\n    def _save_pkl(self, filename):\n        with open(filename, 'wb') as f:\n            pickle.dump(dict(self), f)\n\n    @staticmethod\n    def save_flags(filename):\n        \"\"\"\n        Save tf flags for reuse - not used, not tested\n\n        :param filename: output file\n        \"\"\"\n        from absl import flags\n        logger.info(\"Write flags into %s\")\n        with open(filename, 'w') as f:\n            f.write(flags.FLAGS.flags_into_string())\n\n    def to_flags(self, FLAGS):\n        \"\"\"\n        Update values in FLAGS from BasicConfig\n\n        :param FLAGS: tensorflow/absl FLAGS\n        \"\"\"\n        for i in FLAGS:\n            if i in self:\n                logger.debug(\"set %s in FLAGS\", i)\n                setattr(FLAGS, i, self[i])\n            else:\n                logger.debug(\"Use default %s\", i)\n\n    def __setattr__(self, key, value):\n        self.__setitem__(key, value)\n\n    def __getattr__(self, key):\n        return self.__getitem__(key)\n\n    def __delattr__(self, key):\n        self.__delitem__(key)\n\n    def __hash__(self):\n        return super(BasicConfig, self).__hash__()\n\n\ndef aup_args(func):\n    \"\"\"Decorator to wrap optimization target function `func`.\n    \n    Arguments:\n        func {function} -- A function computes optimization target with specified hyperparameters\n    \"\"\"\n    @functools.wraps(func)\n    def wrapper(filename, **kwargs):\n        \"\"\"wrapper function\n        \n        Arguments:\n            filename {str} -- configuration file\n            kwargs {dict} -- additional arguments will overwrite existing configuration value\n        Raises:\n            ValueError: if a parameter is not assigned in config\n        \"\"\"\n        # get current frame stack\n        frm = inspect.stack()[1]\n        # get module from stack\n        mod = inspect.getmodule(frm[0])\n        # get functions that contain \"init\" in name and call them\n        functions_list = inspect.getmembers(sys.modules[mod.__name__], inspect.isfunction)\n        functions_list = sorted(list(filter(lambda x: \"init\" in x[0], functions_list)))\n\n        config = BasicConfig().load(filename)\n        if kwargs:\n            logger.critical(\"Overwritting config values from script, be cautious!\")\n            config.update(kwargs)\n\n        for f in functions_list:\n            f[1](**config)\n\n        parameters = inspect.signature(func).parameters\n        for p in parameters.items():\n            if p[0] not in config:\n                if p[1].default is inspect.Parameter.empty:\n                    raise ValueError(\"`%s` is required in `%s()` but is not assigned in config file %s\" % \n                                     (p[0], func.__name__, filename))\n                logger.info(\"Using default value for %s\", p[0])\n        run_config = dict()\n        for p in config:\n            if p in parameters:\n                run_config[p] = config[p]\n            else:\n                logger.warning(\"%s is not used in optimization\"%p)\n\n        val = func(**run_config)\n        print_result(val)\n\n        save_model = config.get('save_model', False)\n        if save_model is True:\n            # this means this is the \"best job\" found\n            # the user wants to save the model\n            try:\n                dir = config.get('folder_name', None)\n                previous_dir = os.getcwd()\n\n                if os.path.exists(dir) is True:\n                    logger.warning('Deleting {}'.format(dir))\n                    shutil.rmtree(dir)\n\n                os.makedirs(dir)\n                os.chdir(dir)\n\n                assert user_callback_fn is not None, \\\n                    \"Please use 'aup_save_model' to register the save model callback fn\"\n                user_callback_fn(*user_args, **user_kwargs)\n            except Exception as e:\n                raise e\n            finally:\n                os.chdir(previous_dir)\n\n    return wrapper\n\ndef aup_flags(flags):\n    \"\"\"wrapper function for absl flags (or tf.app). \n\n    It will assign values to flags parameters using the given configuration file as the first argument when executed\n    from the command line.\n        \n    Arguments:\n        args {list} -- a list of unused arguments passed by app.run()\n    \"\"\"\n    def decorator_wrapper(func):\n        @functools.wraps(func)\n        def wrapper(args):\n            config = BasicConfig(**flags.__dict__).load(args[1])\n            flags.__dict__.update()\n            parameters = inspect.signature(func).parameters\n            if parameters:\n                logger.warning(\"TF FLAG main() should not accept arguments with Auptimizer, it has %s\", \n                               parameters.keys())\n                val = func({p:None for p in parameters})\n            else:\n                val = func()\n            print_result(val)\n        return wrapper\n    return decorator_wrapper\n\ndef aup_save_model(callback_fn, *args, **kwargs):\n    global user_callback_fn\n    global user_args\n    global user_kwargs\n\n    user_callback_fn = callback_fn\n    user_args = args\n    user_kwargs = kwargs"
  },
  {
    "path": "docs/aup.EE.Experiment.rst",
    "content": ".. automodule:: aup.EE.Experiment\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.EE.Job.rst",
    "content": ".. automodule:: aup.EE.Job\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.EE.Resource.rst",
    "content": "Resource Managers\n=================\n\n.. automodule:: aup.EE.Resource.AbstractResourceManager\n   :members:\n   :undoc-members:\n   :show-inheritance:\n\n.. automodule:: aup.EE.Resource.CPUResourceManager\n   :members:\n   :show-inheritance:\n\n.. automodule:: aup.EE.Resource.GPUResourceManager\n   :members:\n   :show-inheritance:\n\n\n.. automodule:: aup.EE.Resource.SSHResourceManager\n   :members:\n   :show-inheritance:\n\n.. automodule:: aup.EE.Resource.AWSResourceManager\n   :members:\n   :show-inheritance:\n\n.. automodule:: aup.EE.Resource.PassiveResourceManager\n   :members:\n   :show-inheritance:"
  },
  {
    "path": "docs/aup.EE.rst",
    "content": "aup.EE - Experiment execution\n=============================\n\nOverview\n--------\n\n:mod:`aup.EE` supports all experiment execution-related code.\n\n+ :mod:`aup.EE.Experiment` controls the flow of an experiment.\n+ :mod:`aup.EE.Job` takes care of job execution.\n+ :mod:`aup.EE.Resource` provides the backbone where :mod:`aup.EE.Job` runs on.\n\nAPIs\n----\n\n.. toctree::\n   :maxdepth: 1\n\n   aup.EE.Experiment\n   aup.EE.Job\n   aup.EE.Resource\n"
  },
  {
    "path": "docs/aup.ET.Connector.rst",
    "content": "aup.ET.Connector package\n========================\n\n.. automodule:: aup.ET.Connector.AbstractConnector\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.ET.Connector.SQLiteConnector\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.ET.rst",
    "content": "aup.ET - Experiment tracking package\n====================================\n\n.. toctree::\n    :caption: Modules for experiment tracking\n\n    aup.ET.Connector\n\n"
  },
  {
    "path": "docs/aup.Proposer.BOHBProposer.rst",
    "content": ".. automodule:: aup.Proposer.BOHBProposer\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.Proposer.EASProposer.rst",
    "content": ".. automodule:: aup.Proposer.EASProposer\n    :members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.Proposer.HyperbandProposer.rst",
    "content": ".. automodule:: aup.Proposer.HyperbandProposer\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.Proposer.HyperoptProposer.rst",
    "content": ".. automodule:: aup.Proposer.HyperoptProposer\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.Proposer.RandomProposer.rst",
    "content": ".. automodule:: aup.Proposer.RandomProposer\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.Proposer.SequenceProposer.rst",
    "content": ".. automodule:: aup.Proposer.SequenceProposer\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.Proposer.SpearmintProposer.rst",
    "content": ".. automodule:: aup.Proposer.SpearmintProposer\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.Proposer.rst",
    "content": "aup.Proposer package\n====================\n\nThe proposer is the core component to optimize hyperparameters for model training.\n\nUse :func:`aup.Proposer.AbstractProposer.get_proposer` to initialize proposer.\n\nAll of them adopt the same interface as described below.\n\n\nProposers\n---------\n\n.. toctree::\n   :maxdepth: 1\n\n   aup.Proposer.HyperbandProposer\n   aup.Proposer.HyperoptProposer\n   aup.Proposer.RandomProposer\n   aup.Proposer.SequenceProposer\n   aup.Proposer.SpearmintProposer\n   aup.Proposer.BOHBProposer\n   aup.Proposer.EASProposer\n\n.. automodule:: aup.Proposer.AbstractProposer\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.__main__.rst",
    "content": ".. automodule:: aup.__main__\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.compression.rst",
    "content": "Compression main entry\n======================\n\n.. automodule:: aup.compression.__main__\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.convert.rst",
    "content": ".. automodule:: aup.convert\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.dlconvert.rst",
    "content": "DLconvert - Model conversion\n============================\n\n.. automodule:: aup.dlconvert.__main__\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.dlconvert_API.rst",
    "content": "aup.dlconvert package\n========================\n\n.. automodule:: aup.dlconvert.checkpoint_to_onnx\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.checkpoint_to_pb\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.checkpoint_to_tflite\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.keras_to_onnx\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.keras_to_pb\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.keras_to_tflite\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.pb_to_onnx\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.pb_to_tflite\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.pytorch_to_keras\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.pytorch_to_onnx\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.pytorch_to_tflite\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.savedmodel_to_onnx\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.savedmodel_to_tflite\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.to_frozen_pb\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.to_onnx\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.dlconvert.to_tflite\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.init.rst",
    "content": ".. automodule:: aup.init\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.profiler.rst",
    "content": "Profiler - Profiling model scripts\n==================================\n\n.. automodule:: aup.profiler.__main__\n    :members:\n    :undoc-members:\n    :show-inheritance:\n"
  },
  {
    "path": "docs/aup.rst",
    "content": "**Auptimizer** APIs\n===================\n\nMain Entry\n----------\n\n.. toctree::\n   :maxdepth: 1\n\n   aup.__main__\n   aup.compression\n   aup.setup\n   aup.init\n   aup.convert\n   aup.setupdb\n   aup.profiler\n   aup.dlconvert\n   \nInternal modules and packages\n-----------------------------\n\n.. toctree::\n   :maxdepth: 2\n\n   aup.EE\n   aup.ET\n   aup.Proposer\n   aup.utils\n   aup.setupdb_API\n   aup.dlconvert_API\n   \n"
  },
  {
    "path": "docs/aup.setup.rst",
    "content": ".. automodule:: aup.setup\n    :members:\n    :undoc-members:\n    :show-inheritance:\n"
  },
  {
    "path": "docs/aup.setupdb.rst",
    "content": "Database setup and reset\n========================\n\n.. automodule:: aup.setupdb.__main__\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n\n.. automodule:: aup.setupdb.reset\n"
  },
  {
    "path": "docs/aup.setupdb.sqlite.rst",
    "content": ".. automodule:: aup.setupdb.sqlite\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/aup.setupdb_API.rst",
    "content": "aup.setupdb package\n===================\n\n.. toctree::\n   :maxdepth: 1\n\n   aup.setupdb.sqlite\n"
  },
  {
    "path": "docs/aup.utils.rst",
    "content": ".. automodule:: aup.utils\n    :members:\n    :undoc-members:\n    :show-inheritance:\n\n.. automodule:: aup.aup\n    :members:\n    :undoc-members:\n    :show-inheritance:\n    :imported-members:"
  },
  {
    "path": "docs/aup.visualize.rst",
    "content": ".. automodule:: aup.visualize\n    :members:\n    :undoc-members:\n    :show-inheritance:"
  },
  {
    "path": "docs/compression.rst",
    "content": "Compressor\n==========\n\n**Compressor** is a model compression tool that helps reduce memory complexity and inference time of neural networks.\n\nWith Compressor, you can:\n\n1. **Make your ML models suitable for deployment on resource-constrained devices.** Use Compressor to optimize models for Edge device's limited memory, compute, or power and enable uncompromised on-device intelligence.\n2. **Slash latency and enhance the user experience of your AI-powered application.** Tap Compressor's speed-up functionality to accelerate your model's inference time.\n3. **Maximize the cost-effectiveness of your neural nets.** Cut down on cloud or on-prem model storage and compute costs by reducing their footprint.\n\nSimilar to Auptimizer-Hyperparameter Optimization (HPO), Compressor aims to provide a unified interface to the existing state-of-the-art toolkits. Currently, Compressor leverages `NNI (version 2.0) <https://nni.readthedocs.io/en/latest/model_compression.html>`__ model compression modules. NNI is an open-source toolkit that supports two types of compression, pruning and quantization, for TensorFlow, and PyTorch models. You can find more detail on supported compression algorithms (compressors) in the `NNI Compression documentation <https://nni.readthedocs.io/en/stable/model_compression.html>`__.\n\nIn the future, we will be integrating other off-the-shelf toolkits to expand the selection of model compression approaches.\n\nHow to run compression experiments\n----------------------------------\n\nRunning a compression experiment is similar to running an HPO experiment and requires just a few steps: \n\n1. Install Auptimizer and set up Auptimizer environment\n2. Prepare an experiment configuration file\n3. Modify a few lines in the training script \n4. Run the experiment\n\n\nAuptimizer also includes the NNI `compression utility functions <https://nni.readthedocs.io/en/stable/Compression/CompressionUtils.html>`__ that will help \nyou design compression experiments more efficiently. These utility functions enable layer sensitivity \nand channel dependency analysis, which can guide the selection of layers to be pruned and the target \nsparsity levels. We recommend running this analysis to have a better understanding of the model architecture. \nFor more details, please check :doc:`Utility functions <compression_utilities>`.\n\nStep #1. Installation and environment setup\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCompressor is automatically installed as a part of Auptimizer. \n\nFor PyTorch compression algorithms, Pytorch version >= 1.7.0 is required. For \nTensorflow compression algorithms, TensorFlow version >= 2.0 is required. \n\nCompression experiments use the same Auptimizer environment as the HPO experiments. Please refer\nto the :doc:`Install and setup Auptimizer <setup>` and :doc:`Set up environment \n<environment>` sections for detail on how to set up your Auptimizer environment.\n\nStep #2. Prepare an experiment configuration file\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCompressor supports two compression paradigms: \n\n1. one-time compression \n2. automatic compression. \n\nA **one-time compression** experiment runs one compression job with a fixed set of parameters. \nWhereas an **automatic compression** experiment leverages Auptimizer's HPO \nmodule to find the best possible parameters of a compression algorithm that generates the \nbest compressed model. \n\nOne-time approach is a good option for performing a dry-run or an experiment with a specific set of parameters. Alternatively, use automatic compression if you are not certain about \nthe compression parameters or would like to explore the relationship between compressed model performance \nand different parameter settings. \n\nBelow, we explain the differences between one-time and automatic compression configuration files.\n\nOne-time compression configuration\n@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@\nHere is an example of the configuration file for one-time compression using the `L1Filter` pruning method::\n    \n    {\n        \"name\": \"MNIST L1 Filter Pruner\",\n        \"script\": \"mnist.py\",\n        \"resource\": \"cpu\",\n        \"compression\": {\n            \"framework\": \"torch\",\n            \"type\": \"pruning\",\n            \"compressor\": \"l1_filter\",\n            \"config_list\": [\n                {\n                    \"sparsity\": 0.8,\n                    \"op_types\": [\"Conv2d\"]\n                },\n                {\n                    \"sparsity\": 0.6,\n                    \"op_names\": [\"conv1\", \"conv2\"]\n                },\n                {\n                    \"exclude\": True,\n                    \"op_names\": [\"conv3\"]\n                }\n            ]\n        }\n    }\n\nOne-time compression experiment configurations take the following parameters, where all parameters except for **compression**\nhave the same meaning as in :doc:`Configure HPO Algorithm <algorithm>`:\n\n+ **name**: name of the experiment\n+ **script**: script to run\n+ **resource**: type of resource to run the experiment, [cpu, gpu, passive, node]\n+ **workingdir**: path to run the script, important for running jobs remotely (SSH/AWS)\n+ **compression**: compression-specific parameters\n    \n    + **framework**: either \"torch\" or \"tensorflow\"\n\n    + **type**: either \"pruning\" or \"quantization\"\n    \n    + **compressor**: string, one from the list of supported compression algorithms for the given\n      framework and type (see below)\n    \n    + **config_list**: a list of parameters which define the specific requirements for the chosen NNI \n      compression algorithm\n\nThe ``config_list`` parameter is specific to individual NNI compression algorithms. However, there a few parameters\ncommon among all compressors:\n\n+ **op_types**: list of strings, the names of the specific type of layers to be compressed.\n  If not specified, will use ``default`` as the value which denotes the default layer types \n  supported by the chosen compression algorithm. \n+ **op_names**: list of strings, the names of the layers to be compressed. Will overwrite \n  ``op_types`` if both are provided. The layer names can be found using ``model.state_dict().keys()``. \n+ **exclude**: \"True\" or \"False\" (default is \"False\"). When set to \"True\", the layers \n  defined in ``op_types`` or ``op_names`` will be excluded from compression.\n\nIn the above example, \"config_list\" means pruning all layers of the type \"Conv2d\" to 0.8 sparsity, except for\nlayers named \"conv1\" and \"conv2\" which should be pruned to 0.6 sparsity and layer \"conv3\" which should be \nexcluded from the pruning.\n\nPlease refer to the `NNI docs <https://nni.readthedocs.io/en/stable/Compression/QuickStart.html#specification-of-config-list>`__\nfor more description of the \"config_list\" parameter. Each compressor will have\nan example of its supported \"config_list\".\n\nAutomatic compression configuration\n@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@\nHere is an example of the configuration file for automatic compression using the \n`L1Filter` pruning method::\n\n    {\n        \"name\": \"MNIST L1 Filter Pruner (automatic)\",\n        \"script\": \"mnist.py\",\n        \"resource\": \"cpu\",\n        \"compression\": {\n            \"framework\": \"torch\",\n            \"type\": \"pruning\",\n            \"compressor\": \"l1_filter\",\n            \"config_list\": [\n                {\n                    \"sparsity\": {\n                        \"range\": [0.6, 0.8],\n                        \"type\": \"float\"\n                    }\n                    \"op_types\": ['Conv2d']\n                },\n\n                {\n                    \"sparsity\": {\n                        \"range\": [0.1, 0.9],\n                        \"type\": \"float\"\n                    },\n                    \"op_names\": [\"conv1\", \"conv2\"]\n                },\n\n                {\n                    \"exclude\": True,\n                    \"op_names\": [\"conv3\"]\n                }  \n            ]\n        },\n        \"proposer\": \"random\",\n        \"n_parallel\": 4,\n        \"target\": \"max\",\n        \"n_samples\": 4\n    }\n\nAn automatic compression experiment uses HPO to find the best hyperparameters of a chosen compression algorithm. \nThe experiment is launched as an HPO experiment, therefore, its configuration recognizes all parameters\nin an HPO experiment (see :doc:`Configure HPO Algorithm <algorithm>` for parameter definitions). \nSome important parameters include:\n\n+ **proposer**: HPO method used to propose new hyperparameter values \n+ **target**: \"min\" or \"max\", minimizing or maximizing user-defined HPO metric\n+ **n_samples**: total number of jobs to run\n+ **n_parallel**: number of parallel jobs\n\nAnother notable difference in automatic compression configuration is that for the values of the \nparameters in ``config_list``, a search space is defined via the following parameters:\n\n+ **range**: [min, max] or a list of values\n+ **type**:  `float`, `int`, `choice` types are supported\n\nAdditional parameters may be needed for specific Proposers (see \n:doc:`Configure HPO Algorithm <algorithm>`).\n\nThere are two potential scenarios for identifying the best hyperparameters. We will \nuse hyperparameter \"sparsity\" as an example. In the first scenario, the user may set the same search range for the sparsity for\na group of layers defined in ``op_names`` or ``op_types``, however, the user allows the Proposer to choose a different value in the defined \nrange for each layer in the group. While in the second scenario, the user would like to use the same sparsity value for \nall layers in the group due to the dependency among those layers.\n\nTo handle these two scenarios, we introduce an additional parameter ``expand_op_names`` (\"true\" or \"false\", default is \"true\"). \nIf set to \"true\", Auptimizer will propose a different hyperparameter value for each layer defined in the group; whereas \nwhen set to \"false\", the same hyperparameter value will apply to all layers defined in the group.\n\nFor example, if the configuration is written as follows, in one job, the hyperparameter Proposer may assign sparsity value 0.2 and 0.4\nto \"conv1\" and \"conv2\" layers, respectively.  However, if the ``expand_op_names`` is set to \"false\" in the following example, the Proposer\nwill always assign the same value (e.g., 0.2) to both \"conv1\" and \"conv2\" layers::\n\n    [\n        {\n            'sparsity': {\n                'range': [0.1, 0.9],\n                'type': 'float'\n            },\n            'op_names': ['conv1', 'conv2'],\n            'expand_op_names': true,\n            'op_types': ['default']\n        }\n    ]\n\nStep #3. Modify the training script\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nOnly a few modifications to the training script are needed to run a compression experiment. The  \nmodifications are the same for both one-time and automatic compression experiments. We first present \nan example training script and then explain the changes below::\n    \n    #!/usr/bin/env python   #Step 1: add shebang line to make script executable\n\n    import aup               #Step 2: import auptimizer package\n\n    def main(config):        #Step 3a: the main function should take \"config\" as argument\n        \n        ... # code to generate model and load dataset ...\n        \n        #Step 4: create a compressor and call the compress method to compress the model\n        compressor = aup.compression.create_compressor(model, config, optimizer=optimizer)\n        model = compressor.compress()\n\n        #Step 5 (optional): speed-up the model by removing zero weights\n        model = compressor.apply_speedup(dummy_input=torch.randn(1, 1, 28, 28).to(device))\n        \n        ... code for model fine-tuning after compression ...\n\n        #Step 6 (optional): export the compressed model and the mask\n        compressor.export_model(\n            model_path=\"model_compressed.pth\",\n            mask_path=\"model_mask.pth\",\n            speedup=True,\n            folder_name=\".\")\n        \n        #Step 7: return the metric for HPO or any metric for one-time compression\n        aup.print_result(validation_acc)\n\n    # Step 3b: parse the configuration file and call the main function as follows\n    if __name__ == '__main__': \n        config = aup.BasicConfig().load(sys.argv[1])\n        main(config)\n\n\n1. Add Shebang line ``#!/usr/bin/env python`` on top of the script and make the script executable \n   (``chmod u+x script.py``).\n\n2. Import Auptimizer package by ``import aup``\n\n3. Parse the configuration file using ``aup.BasicConfig.load(sys.argv[1])``.\n\n4. Create the compressor and apply compression\n\n   + this can happen before the optimizer is created: \n     ``compressor = aup.compression.create_compressor(model, config)``\n    \n   + or after the optimizer is defined: \n     ``compressor = aup.compression.create_compressor(model, config, optimizer=optimizer)``\n      \n   Note: any additional arguments specifically required by the compression algorithms must be \n   passed here.\n\n   Apply compression by ``compressor.compress()``.\n\n5. (Optional) Speed-up can be applied for pruned models: \n   ``model = compressor.apply_speedup(dummy_input=torch.randn(*input_shape).to(device))``\n   This will modify the actual architecture of the model by removing zero parameters. \n   ``dummy_input`` should be a ``pytorch tensor`` that conforms \n   to the model input shape. We recommend fine-tuning the model after applying model speed-up \n   as pruning zero parameters may affect the accuracy of the model.\n   \n   Note: Not all pruners support speed-up, please refer to the **Model Speed-Up** section below for more detail.\n\n6. (Optional) Export the model::\n\n    compressor.export_model(\n            model_path=\"model_compressed.pth\",\n            mask_path=\"model_mask.pth\",\n            speedup=True,\n            folder_name=\".\")\n\n   This saves the model to disk. Note that the speed-up is only applied if it has not been applied\n   yet; otherwise, the model is saved as it is.\n\n   + ``model_path``: the path where the compressed model will be saved\n   + ``mask_path``: is a pruning-only argument, the path where the pruning mask will be saved.\n   + ``speedup``: must be present and True if speed-up has been applied; can be True if speed-up has not\n     been applied yet, and will apply speed-up before saving the model.\n   + ``folder_name``: (optional) the directory relative to the working directory to save the model,\n     the model and mask files will be saved to ``working_directory/folder_name/model(mask)_path``.\n   + ``dummy_input``: (optional) a ``pytorch tensor`` that conforms to the model input \n     shape required only for applying speedup when speedup has not been applied yet. \n\n7. Return the final result or any intermediate result by using ``aup.print_result``:\n\n   + For one-time compression, this result can be any metric the user would like to visualize on the dashboard\n   + For automatic compression, this result should be the metric to use in HPO\n\nA few compression algorithms require additional changes in training procedures. \nPlease refer to :doc:`Supported Compression Algorithms <compressors>` section for specific requirements\nof each compressor.\n\n\nStep #4. Run experiment\n~~~~~~~~~~~~~~~~~~~~~~~\n\nA one-shot compression experiment is run by issuing the ``aup.compression`` \ncommand::\n\n    python -m aup.compression experiment.json\n\nAutomatic compression experiments require the ``--automatic`` flag::\n\n    python -m aup.compression experiment.json --automatic\n\n\nAdvanced usages\n---------------\nUse decorator to modify training script\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nAn alternative way to pass the configuration file to the training script is to use the decorator \n``aup_args`` with the following changes::\n\n    @aup.aup_args\n    def main(compression_type, compression_framework, compressor, config_list, folder_name = None, save_model = False):\n        config = locals()\n        ...\n\n    if __name__ == '__main__':\n        main(sys.argv[1])\n\nSave the best model\n~~~~~~~~~~~~~~~~~~~\nAutomatic compression experiments can use the \"save best model\" feature in HPO. If this \nfeature is enabled, only the compressed model and mask obtained using the best hyperparameter \ncombination will be exported, instead of all the models and masks for every hyperparameter \ncombinations explored.\n\nTo use this feature, please make sure to define the following in the configuration file::\n\n        \"resource_args\": {\n            \"save_model\": true\n        }\n\nThere are two ways to modify the code for exporting only the best model and its mask:\n\n+ In case the ``@aup_args`` decorator is used, then the compressor's export_model method\n  can be registered as a model saving function::\n\n    aup_save_model(\n        compressor.export_model,\n        model_path=\"model_compressed.pth\",\n        mask_path=\"model_mask.pth\",\n        speedup=False)\n\n+ Alternatively, if the decorator is not used, apply the following code::\n\n    if \"save_model\" in config and config[\"save_model\"]:\n        compressor.export_model(\n            model_path=\"model_compressed.pth\",\n            mask_path=\"model_mask.pth\",\n            speedup=False,\n            folder_name=config[\"folder_name\"])\n\n\nModel Speed-up\n--------------\n\nNNI compression provides a `model speedup module <https://nni.readthedocs.io/en/stable/Compression/ModelSpeedup.html>`__ \nwhich aims to export models with their architecture modified to reflect \nthe effect of pruning methods. Normally, users would export the model with its \nstructure unchanged and, for pruning, a mask of the pruned weights. However, with \nmodel speed-up, the mask is applied to the model before exporting. \n\n**Important:** Note that without applying model speed-up, compression will not result in model size reduction or inference acceleration.\n\nIn order to use model speed-up, the script should call ``compressor.apply_speedup`` \nwith the appropriate parameters. Model speed-up can also be used \nduring ``compressor.export_model``. Please see `Modify the Training Script` step above for detailed usages.\n\nNot all compression algorithms support model speed-up. Compressors that support model speed-up include:\n\n+ ActivationAPoZRankFilter Pruner\n+ ActivationMeanRankFilter Pruner\n+ ADMM Pruner\n+ FPGM Pruner\n+ L1Filter Pruner\n+ L2Filter Pruner\n+ NetAdapt Pruner\n+ Sensitivity Pruner\n+ TaylorFOWeightFilter Pruner"
  },
  {
    "path": "docs/compression_main.rst",
    "content": "Model Compression\n-----------------\n.. toctree::\n   :maxdepth: 1\n\n   compression\n   compressors\n   compression_utilities"
  },
  {
    "path": "docs/compression_utilities.rst",
    "content": "Utility Functions\n=================\nThe utility functions of the NNI compression module are also integrated into Auptimizer. They are useful for analyzing  \nthe network topology, making informed decisions on the target sparsity levels, and measuring model parameters and FLOPS. \nThe basic usages are presented below. Please refer to `NNI compression utilities <https://nni.readthedocs.io/en/stable/Compression/CompressionUtils.html>`__ \nfor more advanced applications.\n\nSensitivity analysis\n--------------------\nSensitivity analysis prunes the layers one-by-one to measure the sentivity of each layer to different levels of target sparsity::\n \n  # Example of Sensitivity Analysis usage\n  # Define a test function to measure the model performance after pruning each layer\n  def test(model, device, test_loader):\n      ...\n      return accuracy # return a metric for evaluation\n\n  s_analyzer = aup.compression.sensitivity_analysis.SensitivityAnalysis(model=model, val_func=lambda model: test(model, device, test_loader))\n  sensitivity = s_analyzer.analysis(val_args=[model])\n  s_analyzer.export(os.path.join(OUT_DIR, \"sensitivity_analysis.log\")) \n\nThe sensitivity analysis result will be saved to \"sensitivity_analysis.log\".\n\nChannel dependency\n------------------\nWe recommend that users run a channel dependency analysis if they want to manually assign target sparsity levels to selected layers, as the \nlayers with dependency on each other need to be assigned the same sparsity. Channel dependency can be \ndone as follows::\n\n  # Assume input has dimension (1, 1, 28, 28)\n  data = torch.ones(1, 1, 28, 28).to(device)\n  channel_depen = aup.compression.shape_dependency.ChannelDependency(model, data)\n  channel_depen.export(os.path.join(OUT_DIR, \"channel_dependency.csv\"))\n\nThe channel dependency result will be saved to \"channel_dependency.csv\".\n\nParameters / FLOPs counter\n--------------------------\n\nThe FLOPs, number of parameters, and detailed information per layer (\"flops\", \"params\", \n\"weight_size\", \"input_size\", \"output_size\", etc) can be measured using::\n\n    flops, params, results = compressor.count_flops_params(input_shape_tuple)\n    print(results)\n    \nThe per layer information is saved in \"results\". "
  },
  {
    "path": "docs/compressors.rst",
    "content": "Supported Compression Algorithms\n================================\nFor a high-level introduction of all NNI pruners and quantizers, and the full list of parameters required for each compression algorithm in ``config_list``,\nplease refer to `compressors <https://nni.readthedocs.io/en/stable/Compression/Overview.html#supported-algorithms>`__.\nWe maintain the same parameters for each compression algorithm as in the original NNI compression module.\n\n\nIn this section, we provide examples for all of the supported compression algorithms that include:\n\n+ An example configuration (for one-time compression) to present the required \"framework\",\n  \"type\" and \"compressor\" parameters.\n+ An example of a``aup.create_compressor`` call. If the compressor supports `\"dependency-aware\" mode <https://nni.readthedocs.io/en/latest/Compression/DependencyAware.html>`__, \n  it will be included in the call.\n\nPruners\n-------\n\nLevel Pruner\n~~~~~~~~~~~~\n\nSupports both TensorFlow and PyTorch.\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"tensorflow\" | \"torch\"\n        \"type\": \"pruning\",\n        \"compressor\": \"level\",\n        \"config_list\": [{\n                \"sparsity\": 0.8,\n                \"op_types\": [\"default\"]\n            }\n        ]\n    }\n\n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None)\n\nSlim Pruner\n~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"slim\",\n        \"config_list\": [{\n                \"sparsity\": 0.8,\n                \"op_types\": [\"BatchNorm2d\"]\n            }\n        ]\n    }\n\n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None)\n\nFPGM Pruner\n~~~~~~~~~~~\n\nThis pruner supports a dependency-aware mode to get better speed-up from the pruning. \n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None, dependency_aware=False, dummy_input=None)\n\nL1Filter Pruner\n~~~~~~~~~~~~~~~\n\nThis pruner supports the dependency-aware mode.\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"l1_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None, dependency_aware=False, dummy_input=None)\n\nL2Filter Pruner\n~~~~~~~~~~~~~~~\n\nThis pruner supports the dependency-aware mode.\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"l2_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None, dependency_aware=False, dummy_input=None)\n\nActivationAPoZRankFilter Pruner\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThis pruner supports the dependency-aware mode.\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"activation_apoz_rank_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None, activation='relu', statistics_batch_num=1, dependency_aware=False, dummy_input=None)\n\nActivationMeanRankFilter Pruner\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThis pruner supports the dependency-aware mode.\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"activation_mean_rank_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None, activation='relu', statistics_batch_num=1, dependency_aware=False, dummy_input=None)\n\nTaylorFOWeightFilter Pruner\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThis pruner supports the dependency-aware mode.\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"taylor_fo_weight_filter\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None, statistics_batch_num=1, dependency_aware=False, dummy_input=None)\n\nAGP Pruner\n~~~~~~~~~~\n\n**Special requirements for usage** (example)::\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer)\n    model = compressor.compress()\n\n    for epoch in range(1, args.epochs + 1):\n        # ... train the model here for one epoch\n        compressor.update_epoch(epoch)\n \nUse ``compressor.update_epoch(epoch)`` to update epoch number when you finish one epoch in \nyour training code.\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"agp\",\n        \"config_list\": [{    \n                \"initial_sparsity\": 0.0,\n                \"final_sparsity\": 0.8,\n                \"start_epoch\": 0,\n                \"end_epoch\": 10,\n                \"frequency\": 1,\n                \"op_types\": [\"default\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer, pruning_algorithm='level')\n\nNetAdapt Pruner\n~~~~~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"net_adapt\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, short_term_fine_tuner, evaluator, optimize_mode='maximize', base_algo='l1', sparsity_per_iteration=0.05, experiment_data_dir='./')\n\nSimulatedAnnealing Pruner\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"simulated_annealing\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, evaluator, optimize_mode='maximize', base_algo='l1', start_temperature=100, stop_temperature=20, cool_down_rate=0.9, perturbation_magnitude=0.35, experiment_data_dir='./')\n\nAutoCompress Pruner\n~~~~~~~~~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"auto_compress\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, trainer, evaluator, dummy_input, num_iterations=3, optimize_mode='maximize', base_algo='l1', start_temperature=100, stop_temperature=20, cool_down_rate=0.9, perturbation_magnitude=0.35, admm_num_iterations=30, admm_training_epochs=5, row=0.0001, experiment_data_dir='./')\n\nAMC Pruner\n~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"amc\",\n        \"config_list\": [{\n                \"op_types\": [\"Conv2d\", \"Linear\"]\n            }\n        ]\n    }\n\n**Example creation**::\n\n    aup.create_compressor(model, config, evaluator, val_loader, suffix=None, model_type='mobilenet', dataset='cifar10', flops_ratio=0.5, lbound=0.2, rbound=1.0, reward='acc_reward', n_calibration_batches=60, n_points_per_layer=10, channel_round=8, hidden1=300, hidden2=300, lr_c=0.001, lr_a=0.0001, warmup=100, discount=1.0, bsize=64, rmsize=100, window_length=1, tau=0.01, init_delta=0.5, delta_decay=0.99, max_episode_length=1000000000.0, output_dir='./logs', debug=False, train_episode=800, epsilon=50000, seed=None)\n\nADMM Pruner\n~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"admm\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"],\n                \"op_names\": [\"conv1\"]\n            }, {\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"],\n                \"op_names\": [\"conv2\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, trainer, num_iterations=30, training_epochs=5, row=0.0001, base_algo='l1')\n\nLottery Ticket Hypothesis Pruner\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n**Special requirements for usage** (example)::\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer, lr_scheduler=scheduler)\n    model = compressor.compress()\n\n    for _ in compressor.get_prune_iterations():\n        compressor.prune_iteration_start()\n        for epoch in range(1, args.epochs + 1):\n            # ... train model here for one epoch\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"lottery_ticket\",\n        \"config_list\": [{\n                \"prune_iterations\": 5,\n                \"sparsity\": 0.8,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config, optimizer=None, lr_scheduler=None, reset_weights=True)\n\nSensitivity Pruner\n~~~~~~~~~~~~~~~~~~\n\n**Special requirements for usage** (example)::\n\n    compressor = aup.compression.create_compressor(model, config, finetuner=short_term_fine_tuner, evaluator=evaluator)\n    model = compressor.compress(eval_args=[model], finetune_args=[model])\n\nNotice the arguments passed to ``compressor.compress``.\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"sensitivity\",\n        \"config_list\": [{\n                \"sparsity\": 0.5,\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config_list, evaluator, finetuner=None, base_algo='l1', sparsity_proportion_calc=None, sparsity_per_iter=0.1, acc_drop_threshold=0.05, checkpoint_dir=None)\n\nQuantizers\n----------\n\nNaive Quantizer\n~~~~~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"quantization\",\n        \"compressor\": \"naive\",\n        \"config_list\": []\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config)\n\nQAT Quantizer\n~~~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"quantization\",\n        \"compressor\": \"qat\",\n        \"config_list\": [{\n            \"quant_types\": [\"weight\"],\n            \"quant_bits\": {\n                \"weight\": 8\n            },\n            \"op_types\": [\"Conv2d\", \"Linear\"]\n        }, {\n            \"quant_types\": [\"output\"],\n            \"quant_bits\": 8,\n            \"quant_start_step\": 7000,\n            \"op_types\":[\"ReLU6\"]\n        }]\n    }\n\n  \n**Example creation**::\n\n    aup.create_compressor(model, config)\n\nDoReFa Quantizer\n~~~~~~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"quantization\",\n        \"compressor\": \"dorefa\",\n        \"config_list\": [{\n            \"quant_types\": [\"weight\"],\n            \"quant_bits\": 8, \n            \"op_types\": [\"default\"] \n        }]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config)\n\nBNN Quantizer\n~~~~~~~~~~~~~\n\n**Configuration**::\n\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"quantization\",\n        \"compressor\": \"bnn\",\n        \"config_list\": [{\n                \"quant_bits\": 1,\n                \"quant_types\": [\"weight\"],\n                \"op_types\": [\"Conv2d\", \"Linear\"],\n                \"op_names\": [\"conv1\", \"conv2\", \"fc1\", \"fc2\"]\n            }, {\n                \"quant_bits\": 1,\n                \"quant_types\": [\"output\"],\n                \"op_types\": [\"relu\"],\n                \"op_names\": [\"relu1\", \"relu2\", \"relu3\"]\n        }]\n    }\n  \n**Example creation**::\n\n    aup.create_compressor(model, config)"
  },
  {
    "path": "docs/conf.py",
    "content": "# -*- coding: utf-8 -*-\n#\n# Configuration file for the Sphinx documentation builder.\n#\n# This file does only contain a selection of the most common options. For a\n# full list see the documentation:\n# http://www.sphinx-doc.org/en/stable/config\n\n# -- Path setup --------------------------------------------------------------\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use os.path.abspath to make it absolute, like shown here.\n#\nimport os\nimport sys\nsys.path.insert(0, os.path.abspath('../src'))\nimport aup\n\n# -- Project information -----------------------------------------------------\n\nproject = 'Auptimizer'\ncopyright = '2018, LG Electronics Inc.'\nauthor = 'LG Electronics Inc.'\n\n# The short X.Y version\nversion = aup.__version__\n# The full version, including alpha/beta/rc tags\nrelease = ''\n\n\n# -- General configuration ---------------------------------------------------\n\n# If your documentation needs a minimal Sphinx version, state it here.\n#\n# needs_sphinx = '1.0'\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n    'sphinx.ext.autodoc',\n    'sphinx.ext.coverage',\n    'sphinx.ext.mathjax',\n    'sphinx.ext.viewcode',\n    'sphinx.ext.intersphinx',\n    'sphinx.ext.autosummary',\n    'sphinxcontrib.programoutput',\n    'sphinx.ext.autosectionlabel'\n]\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = ['_templates']\n\n# The suffix(es) of source filenames.\n# You can specify multiple suffix as a list of string:\n#\n#source_parsers = {\n#    '.md': 'recommonmark.parser.CommonMarkParser',\n#}\n\n#source_suffix = ['.rst', '.md']\nsource_suffix = '.rst'\n\n# The master toctree document.\nmaster_doc = 'index'\n\n# The language for content autogenerated by Sphinx. Refer to documentation\n# for a list of supported languages.\n#\n# This is also used if you do content translation via gettext catalogs.\n# Usually you set \"language\" from the command line for these cases.\nlanguage = None\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\n# This pattern also affects html_static_path and html_extra_path .\nexclude_patterns = ['_build', 'Thumbs.db', '.DS_Store', 'wiki']\n\n# The name of the Pygments (syntax highlighting) style to use.\npygments_style = 'sphinx'\n\n\n# -- Options for HTML output -------------------------------------------------\n\n# The theme to use for HTML and HTML Help pages.  See the documentation for\n# a list of builtin themes.\n#\nhtml_theme = 'sphinx_rtd_theme'\n\nhtml_logo = \"images/AuptimizerWhiteLong.png\"\n\n# Theme options are theme-specific and customize the look and feel of a theme\n# further.  For a list of options available for each theme, see the\n# documentation.\n#\n# html_theme_options = {}\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = ['_static', 'archive']\n\n# Custom sidebar templates, must be a dictionary that maps document names\n# to template names.\n#\n# The default sidebars (for documents that don't match any pattern) are\n# defined by theme itself.  Builtin themes are using these templates by\n# default: ``['localtoc.html', 'relations.html', 'sourcelink.html',\n# 'searchbox.html']``.\n#\n# html_sidebars = { '**': [ 'globaltoc.html','about.html','navigation.html','relations.html','searchbox.html',]}\n\n\n# -- Options for HTMLHelp output ---------------------------------------------\n\n# Output file base name for HTML help builder.\nhtmlhelp_basename = 'Auptimizerdoc'\n\n\n# -- Options for LaTeX output ------------------------------------------------\n\nlatex_elements = {\n    # The paper size ('letterpaper' or 'a4paper').\n    #\n    # 'papersize': 'letterpaper',\n\n    # The font size ('10pt', '11pt' or '12pt').\n    #\n    # 'pointsize': '10pt',\n\n    # Additional stuff for the LaTeX preamble.\n    #\n    # 'preamble': '',\n\n    # Latex figure (float) alignment\n    #\n    # 'figure_align': 'htbp',\n}\n\n# Grouping the document tree into LaTeX files. List of tuples\n# (source start file, target name, title,\n#  author, documentclass [howto, manual, or own class]).\nlatex_documents = [\n    (master_doc, 'Auptimizer.tex', 'Auptimizer Documentation',\n     'LG Electronics Inc.', 'manual'),\n]\n\n\n# -- Options for manual page output ------------------------------------------\n\n# One entry per manual page. List of tuples\n# (source start file, name, description, authors, manual section).\nman_pages = [\n    (master_doc, 'Auptimizer', 'Auptimizer Documentation',\n     [author], 1)\n]\n\n\n# -- Options for Texinfo output ----------------------------------------------\n\n# Grouping the document tree into Texinfo files. List of tuples\n# (source start file, target name, title, author,\n#  dir menu entry, description, category)\ntexinfo_documents = [\n    (master_doc, 'Auptimizer', 'Auptimizer Documentation',\n     author, 'Auptimizer', 'One line description of project.',\n     'Miscellaneous'),\n]\n\n# Additional\nadd_module_names = False\nmodindex_common_prefix = [\".\",\".aup.\",\"aup.\"]\n\n\n# -- Extension configuration -------------------------------------------------\n\nautodoc_inherit_docstrings = True\n\nhtml_theme_options = {\n    #'canonical_url': '',\n    #'analytics_id': 'UA-XXXXXXX-1',  #  Provided by Google in your dashboard\n    'logo_only': True,\n    'display_version': True,\n    'prev_next_buttons_location': 'bottom',\n    'style_external_links': False,\n    # 'vcs_pageview_mode': '',\n    #'style_nav_header_background': 'black',\n    # Toc options\n    'collapse_navigation': True,\n    'sticky_navigation': True,\n    'navigation_depth': 4,\n    'includehidden': True,\n    'titles_only': False\n}"
  },
  {
    "path": "docs/dashboard.rst",
    "content": "Auptimizer Dashboard\n====================\n\n**Dashboard** is a powerful analytics tool that complements Auptimizer's core hyperparameter optimization (HPO) and model compression capabilities. \n\nUse the Dashboard to:\n\n- **Supercharge the analysis of your HPO or model compression experiments.** The dashboard provides insightful visualizations to help you analyze and contrast jobs, experiments, and optimization approaches. Get to the root of your experiment results by exploring the interplay of hyperparameters, the progression of intermediate results, and the efficacies of different HPO algorithms.\n- **Get a snapshot of the information that matters.** Use the dashboard to track experiment progress and get clutter-free insights on the ongoing and completed experiments.\n- **Run your experiments with ease.** Create, launch or stop an experiment or even set up a new Auptimizer environment using the dashboard.\n\n\nLaunch the dashboard\n---------------------\nThere are two ways to launch the dashboard:\n\n1. In terminal, use the ``dashboard`` command to visualize an exisiting Auptimizer experiment that is currently running or has been completed::\n\n     dashboard --port <port_number> --path <path_to_database>\n\n   The ``port`` is the port number to show the dashboard on the local machine. The ``path`` should point to the database (default is `sqlite3.db`) for the corresponding experiment.\n\n2. Use the ``launch_dashboard`` flag and the ``dashboard_port`` flag (optional) when starting an HPO or compression experiment:: \n\n     python3 -m aup exp_config.json --launch_dashboard --dashboard_port <port_number>\n     python3 -m aup.compression exp_compression.json --launch_dashboard --dashboard_port <port_number>\n   \n   If ``dashboard_port`` is not provided, a random port will be assigned. The local host address will be shown in the console when the experiment starts.\n\n   **Important:** With this second approach, some dashboard functionalities, like starting a new experiment or restarting a past experiment, will be disabled. For full functionalities of the dashboard, please, use the first approach.\n\n\nTrack experiment status and visualize results\n---------------------------------------------\n\nMain page\n~~~~~~~~~\nWhen you open the dashboard in a web browser, you will first land on the main page with a list of completed and active experiments. This page presents the meta info of each experiment. \n\nYou can check the experiment configuration via the ``CONFIG`` button, and access detailed results via the ``RESULTS`` button. Here, you can also stop or start an experiment. \n\nThe page also offers a *tile view* layout that provides the same information as the *list view*.\n\n.. figure:: images/dashboard/main_page_list.png\n   :alt: main_page_list\n\n   Main Page List View\n\n.. figure:: images/dashboard/main_page_tile.png\n   :alt: main_page_tile\n\n   Main Page Tile View\n\nExperiment overview\n~~~~~~~~~~~~~~~~~~~\nThis page provides a summary of an experiment's status and the best result and corresponding best hyperparameters so far. \nYou can also select other experiments to view without going back to the main page.\n\n.. figure:: images/dashboard/overview.png\n   :alt: overview\n\n   Experiment Overview\n\nJob status\n~~~~~~~~~~\nThe Job Status page shows the status, result, and hyperparameters of each job. Job details are presented in a scatter plot and a table.\n\nBy default, the user-defined score used for HPO will be plotted for each job, while the best result over finished jobs is shown with a line. You can zoom in/out, \ncheck out details of each data point, and change the range of axes on the plot. Please refer to ``INTERACTION GUIDE`` for exploring the plot. If you return multiple \nmetrics in an experiment, the other metrics can be shown on this plot as well.\n\n.. figure:: images/dashboard/job_status_plot.png\n   :alt: job_status_plot\n\n   Job Status Plot\n\nThe job status table presents more detail for each job, including status, score, start/end time, all hyperparameters, etc. \nThe table can be sorted by each column and exported as xls/xlsx/csv/txt file.\n\n.. figure:: images/dashboard/job_status_table.png\n   :alt: job_status_table\n\n   Job Status Table\n\nHyperparameter interaction graph\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nThe hyperparameter interaction graph (HIG) is a parallel coordinate graph that is commonly used to show the interplay among different hyperparameters. \nEach vertical axis represents the range of one hyperparameter. You can interact with this graph by selecting certain hyperparameters, moving the \nvertical axes, highlighting certain ranges of one or multiple hyperparameters, etc. This HIG can provide more insights into the impact of each hyperparameter\non the evaluation metric.\n\n.. figure:: images/dashboard/hig.png\n   :alt: hig\n\n   Hyperparameter Interaction Graph\n\nIntermediate results\n~~~~~~~~~~~~~~~~~~~~\nIf you enable tracking intermediate results or use early stopping strategies, this page will show the intermediate \nresults plotted over time for the selected jobs within one experiment.\n\n.. figure:: images/dashboard/intermediate_results.png\n   :alt: intermediate_results\n\n   Intermediate Results\n\n\nMulti-experiment comparison\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\nYou can view the HPO progress for multiple experiments on this page. The best result for each experiment can be plotted\nover jobs or time. This can be particularly useful if you want to compare different HPO strategies.\n\n.. figure:: images/dashboard/multi_experiment.png\n   :alt: multi_experiment\n\n   Multi-Experiment Comparison\n\n\nCreate new experiment\n---------------------\nIn addition to visualizing the results of existing experiments, you can also use the dashboard to create and run new experiments. \nThere are two ways to do so:\n\n1. click on the ``CREATE NEW EXPERIMENT`` button on the main page, \n2. click on the ``Create experiment from copy`` button located on each experiment entry on the main page. \n\nBoth approaches will open the following page, where on the top you will need to specify your working directory for the\nnew experiment, and in the left panel, you can input the experiment configuration in json format. If you choose\n``Create experiment from copy``, the configuration json file of the selected experiment will be copied over to the left panel for \nfurther modification. The right panel is for validation purposes. You can check the argument values parsed from \nthe json file in the right panel to make sure everything in the configuration json file is correct.\n\n.. figure:: images/dashboard/create_experiment.png\n   :alt: create_experiment\n\n   Create New Experiment\n\nPlease review the ``INTERACTION GUIDE`` for a complete guide on setting up the experiment. After clicking on \nthe ``CREATE EXPERIMENT`` button, this experiment will be shown on top of the experiment list on the main page. You can \nclick on the ``START`` button to run the experiment.\n\nReset Auptimizer environment\n----------------------------\nYou can also reset the Auptimizer environment via the dashboard. After you click on the ``RESET AUPTIMIZER ENVIRONMENT`` button on the \nmain page, a software wizard will lead you through the Auptimizer environment set-up process. \n\n**Important:** the existing Auptimizer environment in the same working directory will be overwritten, which will erase existing databases. We \nsuggest the user back up their databases for finished experiments before resetting the Auptimizer environment in the same working directory.\n\n.. figure:: images/dashboard/setup_environment.png\n   :alt: setup_environment\n\n   Set Up Auptimizer Environment\n\nCompression experiments\n-----------------------\nFor **one-shot compression experiments**, as each experiment contains only one job and there are no hyperparameters to be tuned or visualized, the dashboard will have a few modifications:\n\n1. The `Experiment Overview` page will only show the experiment configuration instead of hyperparameters.\n2. The `Job status` page will only show one job.\n3. The `Hyperparameter Interaction Graph` page will not show a graph.\n4. The `Multi-Experiment Comparison` page will show one data point for the experiment.\n\nFor **automatic compression experiments**, the dashboard will function in the same way as for the HPO experiments. Note that in compression experiments, the hyperparameter names may not be explicitly specified\nin the configuration file. For example, the target sparsity for multiple layers might be a single hyperparameter. However, on the dashboard, the hyperparameter names will be rephrased for better clarity.\n\n.. figure:: images/dashboard/overview_compression.png\n   :alt: overview_compression\n\n   Experiment Overview for Automatic Compression experiments\n\n.. figure:: images/dashboard/hig_compression.png\n   :alt: hig_compression\n\n   Hyperparameter Interaction Graph for Automatic Compression experiments \n\nDark mode\n---------\nAll pages are also available in the *dark mode*.\n\n.. figure:: images/dashboard/dark_mode.png\n   :alt: dark_mode\n\n   Experiment Overview in Dark Mode"
  },
  {
    "path": "docs/demo.rst",
    "content": "Examples\n========\n\nAn easy way to get started with **Auptimizer** is to modify the demo code in the ``Examples`` folder.\n\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n| Example                                 | Folder                  | Purpose                                                                       |\n+=========================================+=========================+===============================================================================+\n| Basic Demo                              | ``demo``                | Tutorial                                                                      |\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n| `2D function with different HPOs`       | ``2dfunc_diff_opt``     | Show how to switch between different optimizers                               |\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n| `2D function with different resources`  | ``2dfunc_diff_res``     | Show how to switch between different resources                                |\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n| `MNIST DNN`                             | ``hpo_mnist``           | Show HPO usage for DNN                                                        |\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n| `Tensorflow flags`                      | ``tf_flags``            | Show how to integrate with Tensorflow Flags                                   |\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n| `Tensorflow Iris`                       | ``tf_iris_diff_opt``    | Show example on Iris data                                                     |\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n| `NAS integration`                       | ``cai_nas``             | Show how to do NAS (uses a publicly available open-source NAS implementation) |\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n| `Failure Control`                       | ``job_failure_control`` | Show job failure control cases                                                |\n+-----------------------------------------+-------------------------+-------------------------------------------------------------------------------+\n \n\nAuto convert\n~~~~~~~~~~~~\n\nIn example ``2dfunc_diff_opt``, the ``experiment_auto.json`` shows how experiment configuration is managed.\nThe user can use::\n\n  python -m aup.convert rosenbrock_origin.py experiment_auto.json rosenbrock\n\nto automatically convert the original file to the **Auptimizer** version.\nThe output file name is defined in ``experiment_auto.json`` as ``script``.\n\nManual modification\n~~~~~~~~~~~~~~~~~~~\n\nWe also provide a modified training script in example ``2dfunc_diff_opt`` for users' reference. In ``rosenbrock_hpo.py``, we show how to manually convert the function for tuning with **Auptimizer**.\n\nFor the end-user’s experiment, simply replacing the ``rosenbrock()`` function with their code is enough to use **Auptimizer** (**Need to return the score in that function**).\n\nExperiment configurations\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nDifferent ``experiment*.json`` files in multiple examples illustrate how to specify the configuration for different HPO algorithms. Most of\nthem are identical. To set up a new experiment, please define the corresponding ``parameter_config`` in the ``JSON``\nfile.\n"
  },
  {
    "path": "docs/developer.rst",
    "content": "For Developers\n---------------------------\n.. toctree::\n   :maxdepth: 1\n\n   developer_guide\n   version\n   errors"
  },
  {
    "path": "docs/developer_guide.rst",
    "content": "Developer Guide\n===============\n\nFor Machine Learning development\n--------------------------------\n\n**Auptimizer** makes it a little easier to debug your experiment / job in the following ways.\n\nSet level of logging\n~~~~~~~~~~~~~~~~~~~~\n\nLogging can be activated using the :code:`--log` flag. (E.g. :code:`python -m aup <experiment> --log <level>`).\nThe following logging levels are available:\n\n1. **error** - everything stops the process\n2. **warn** - using default values\n3. **info** - progress update\n4. **debug** - everything else\n\nTest in passive mode\n~~~~~~~~~~~~~~~~~~~~\n\nChange :code:`resource` in :code:`experiment.json` to :code:`\"passive\"` and then run::\n\n    python -m aup <experiment config>\n\nBy doing so, **Auptimizer** will run in a passive mode where it interactively prints running script with its working\npath and asks for the returned value. You should run your script in a second terminal to see whether it finishes\ncorrectly. And then you can return that value back to **Auptimizer**\\'s command line.\n\nFor Auptimizer Software Development\n-----------------------------------\n\nEnvironment\n~~~~~~~~~~~\n\nEither use :code:`virtualenv`::\n\n    virtualenv testenv\n    source testenv/bin/activate\n    pip install -r requirements.txt\n    export PYTHONPATH=`pwd`:$PYTHONPATH\n\nor::\n\n    export PYTHONPATH=<repo folder>:$PYTHONPATH\n\nUnit testing\n~~~~~~~~~~~~\n\nIf you make changes to the **Auptimizer** code, you can run the included unit tests to make sure that you didn't break anything.\n\nIf it's the first time you are running these tests, do::\n\n    chmod u+x tests/EE/test_Job.py\n\nto set the correct permissions.  You can then run the tests using::\n\n    python -m unittest\n\n"
  },
  {
    "path": "docs/dlconvert.rst",
    "content": "Converter\n---------\n.. toctree::\n   :maxdepth: 1\n\n   dlconvert_readme\n   dlconvert_example"
  },
  {
    "path": "docs/dlconvert_example.rst",
    "content": "Examples\n========\n\nWe provide extensive examples to demonstrate Converter coverage and efficacy. Please check out `converter_examples <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/converter_examples>`__ for detailed usages. We provide specific instructions for each example in the respective folder.\n\nEvaluating supported model architectures \n----------------------------------------\n`Tested_Models <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/converter_examples/Tested_Models>`__ - This example evaluates common model architecture coverage by the individual conversion functions. It also summarizes known issues. **We strongly recommend that users review this example first before running their conversion tasks.**\n\nBenchmarking quantized TensorFlow Lite models on an Android phone\n-----------------------------------------------------------------\n`Convert_Benchmark <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/converter_examples/Convert_Benchmark>`__ - This example demonstrates how to benchmark quantized TensorFlow Lite model performance (i.e. running time and memory usage) on an Android phone. Specifically, we converted models from a TensorFlow frozen protobuf file to a quantized .tflite file, and benchmarked their performance on an LG G6 mobile phone. \n\nThis example shows that models converted and quantized with Converter match the performance of the official quantized models provided in the `TensorFlow repo <https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md>`__.\n\nProfiling performances of converted models using Auptimizer Profiler\n--------------------------------------------------------------------\n`Convert_Profiler <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/converter_examples/Convert_Profiler>`__ - This example demonstrates how to use Auptimizer-Profiler to profile TensorFlow or ONNX model performance on CPU. Performance benchmarking scripts are provided for TensorFlow and ONNX. \n"
  },
  {
    "path": "docs/dlconvert_readme.rst",
    "content": "How to use Converter\n====================\n\n**Converter** is a format conversion tool for machine learning models. It encapsulates best practices of individual Machine Learning model conversions under a single API.\n\nConverter allows you to:\n\n1. **Make your models edge device-friendly.** Transform models in Checkpoint (.meta), Keras (.h5/.hdf5), SavedModel (directory name), Protobuf (.pb), and Pytorch (.pt) into edge-optimized ONNX (.onnx) and TensorFlow Lite (.tflite) formats.\n\n2. **Enhance model interoperability through standardization.** Boost model compatibility with countless compilers, inference engines, and SoCs by converting it into the industry-standard ONNX format.\n\n3. **Get a smaller and faster model.** Make your model more compact and efficient by leveraging Quantization_ built into the TensorFlow Lite converter.\n\nThe following source model formats (and file extensions) can be converted to **TensorFlow Lite (.tflite)** and **ONNX (.onnx)**:  \n\n- **Checkpoint (.meta)**  \n- **Keras (.h5/.hdf5)**  \n- **SavedModel (directory name)**  \n- **Protobuf (.pb)**  \n- **PyTorch (.pt)**    \n\nAdditionally, Converter supports conversions:  \n\n- from Checkpoint to Protobuf\n- from Keras to Protobuf\n- from PyTorch to Keras\n\nTensorFlow 1.15, 2.1 - 2.3 and PyTorch 1.6.0 are tested. The conversion from SavedModel to TensorFlow Lite/ONNX requires TensorFlow version 2.x. Other conversions can be run using both TensorFlow 1.15 or 2.x. \n\nInstall\n-------\n\n*Note:* Converter leverages conversion libraries that have different version requirements (mainly for TensorFlow).\nIt is highly recommended to use Docker or Python's virtualenv to isolate your environment. \n\n1. Install Auptimizer  \n2. Install additional libraries for using Converter:  \n\n   If you would like to convert from Checkpoint/Keras/Protobuf/SavedModel model formats, please run: ``pip install keras2onnx tf2onnx``. If you would like to convert from PyTorch format, please run:``pip install pytorch2keras keras2onnx tf2onnx``\n\nUsage\n-----\n\n1. **Recommended:** Check whether your model architecture is supported for the target conversion `here <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/converter_examples/Tested_Models>`__.\n\n2. **Important:** Ensure that you can load and run your model, otherwise you will not be able to convert it successfully.\n\n3. Specify conversion parameters. There are certain parameters to specify for each type of conversion. These parameters need to be written in a configuration *.json* file. You can list configurations for multiple model conversion tasks in a single .json file to execute model conversions sequentially.   \n   \n   An example configuration for converting a VGG16 Keras model to ONNX is as follows::\n    \n    {\n        \"convert_from\":\"test_models/VGG16.h5\",\n        \"convert_to\":\"converted_models/VGG16_keras.onnx\",\n    }\n\n4. After preparing the configuration .json file, run the following command to start the conversions::\n\n    python -m aup.dlconvert -f <configuration json file> \n\n  Alternatively, you can also write the configuration in a *json dictionary* format, and run ::\n\n    python -m aup.dlconvert -d <configuration json dictionary> \n\n\n\nParameters\n----------\n\nFor **all** conversions, the two required parameters are **convert_from** and **convert_to**.\n\nFor each specific conversion, there can be additional parameters needed. These parameters are usually dependent on the source- and target model formats, and are summarized in the following chart:\n\n\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n|  | From    || To            || quantization|| input_nodes|| output_nodes| | network_script|| input_shape|| onnx_opset|| frozen    || savedmodel_tag      |\n|            |                |              |             |              | | network_name  |             |            |            || savedmodel_signature|         \n+============+================+==============+=============+==============+=================+=============+============+============+======================+\n| Keras      |TensorFlow Lite | Optional     |             |              |                 |             |            |            |                      |  \n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| SavedModel |TensorFlow Lite | Optional     |             |              |                 |             |            |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| Checkpoint |TensorFlow Lite | Optional     | Required    |Required      |                 | Optional    |            |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| Protobuf   |TensorFlow Lite | Optional     |Required     | Required     |                 | Optional    |            |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| PyTorch    |TensorFlow Lite | Optional     |             |              |Required         |Required     |            |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| Keras      |ONNX            |              |             |              |                 |             |Optional    |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| SavedModel |ONNX            |              |             |              |                 |             |Optional    |            | Optional             |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| Checkpoint |ONNX            |              |Required     | Required     |                 | Optional    |Optional    |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+    \n| Protobuf   |ONNX            |              |Required     | Required     |                 | Optional    |Optional    |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+ \n| PyTorch    |ONNX            |              |             |              | Required        |Required     | Optional   |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| Keras      |Protobuf        |              |             | Required     |                 |             |            |Optional    |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| Checkpoint |Protobuf        |              |             | Required     |                 |             |            |Optional    |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n| PyTorch    |Keras           |              |             |              | Required        | Required    |            |            |                      |\n+------------+----------------+--------------+-------------+--------------+-----------------+-------------+------------+------------+----------------------+\n\n\n``convert_from``\nRequired for **all** conversions. Input model file with one of the supported extensions: `.meta`, `.h5/.hdf5`, `.pb`, `.pt`, or a directory path for SavedModel.  \n\n``convert_to``  \nRequired for **all** conversions. Output model name with one of the supported extensions: `.tflite`, `.onnx`, `.pb`, or `.h5/.hdf5`.  \n\n.. _Quantization:\n\n``quantization``\nParameter *quantization* includes a group of parameters used for enabling quantization while converting to TensorFlow Lite format. Post-training quantization is a built-in functionality of the TensorFlow Lite Converter. The Converter API supports calling this functionality.\n\nTo specify quantization parameters, write in the configuration .json file::\n\n   {\n        \"convert_from\":\"test_models/VGG16.h5\",\n        \"convert_to\":\"converted_models/VGG16_keras.tflite\",\n        \"quantization\": {\n            \"optimization\":\"default\",\n            \"type\":\"float16\",\n            \"opsset\":\"tf\",\n            \"load\":\"repdata.py\"\n        }\n    }\n\nMore detail on post-training quantization capabilities and parameter setting can be found in `Post-training quantization <https://www.tensorflow.org/lite/performance/post_training_integer_quant#convert_to_a_tensorflow_lite_model>`__\n\n``optimization``\nEnable/disable quantization for conversion. Choose from `none` or `default`. Default is `none`. When using `none`, no quantization will be performed and the converted TensorFlow Lite model will be in float32 format. When using `default`, best practices will be applied for quantization with the other given information via `--type`, `--opsset`, and `--load`.\n\n``type``  \nTarget data type for constant values of the converted TensorFlow Lite model. Choose from `float32`, `float16`, `int8`,and `uint8`. Default is `float32`. \n\n``opsset``  \nSet of OpsSet options supported by the target device (experimental). Choose from\n\n1. `tflite`, which refers to `[tensorflow.lite.OpsSet.TFLITE_BUILTINS]`  \n2. `tf`, which refers to `[tensorflow.lite.OpsSet.SELECT_TF_OPS, tensorflow.lite.OpsSet.TFLITE_BUILTINS]`  \n3. `int8`, which refers to `[tensorflow.lite.OpsSet.TFLITE_BUILTINS_INT8]`\n\nDefault is `tflite`. \n\n``load``\nA python script that implements a data generation function that generates representative data for quantizing variable data, such as feature maps. The function should be named `get_dataset`, and it should be a generator function that yields large enough dataset to represent typical data values. Check `representative data <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/converter_examples/Convert_Benchmark/repdata.py>`__ for example.\n \n``input_nodes``  \nModel input names (separated by comma), which can be found with `summarize graph tool <https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/graph_transforms#inspecting-graphs>`__. Those names typically end with `:0`, for example `input:0`.\n\n``output_nodes`` \nModel output names (separated by comma). which can be found with `summarize graph tool <https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/graph_transforms#inspecting-graphs>`__. Those names typically end with `:0`, for example `output/Softmax:0`.\n\n``input_shape`` \nIf the `input_nodes` in *protobuf* or *checkpoint* has unspecified shapes other than the 1st dimension, the `input_shape` needs to be specified by a comma separated string, for example `1,3,224,224`. For multiple `input_nodes`, use `;` to separate their corresponding `input_shape`.  \nThe shape of `input_nodes` can also be checked using the `summarize graph tool <https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/graph_transforms#inspecting-graphs>`__, where unspecified shape is usually represented by **-1**. \n\n``network_script`` \nPath to a Python script that contains the model definition of the PyTorch model to be converted.\n\n``network_name``  \nClass name of the model to be converted, defined in the script specified in `network_script` .\n\n``onnx_opset``  \nOpset version to use for ONNX. Default is `10`. The ONNX opset version updates can be found in `ONNX release notes <https://github.com/onnx/onnx/releases>`__.\n\n``frozen``  \nFlag to control whether to create a frozen Protobuf. Default is `True`.  \n\n``savedmodel_tag``  \nTag to use for SavedModel. Default is `serve`. The SavedModel to be converted *cannot have an emtpy tag*.\n\n``savedmodel_signature``  \nSignature to use for SavedModel within the specified `--tag` value. Default is `serving_default`. The SavedModel to be converted *cannot have an emtpy signature*.\n\n``skip``\nThis parameter is for converting selected models when there are multiple conversion configurations in the json file. When set to `True`, the model will be skipped and not be converted. Default is `False`. \n\nKnown Issues\n------------\n1. Limited support on certain model architectures\n2. Quantization for TensorFlow Lite conversion can lead to `significant accuracy loss <https://github.com/tensorflow/tensorflow/issues/40000>`__"
  },
  {
    "path": "docs/early_stop.rst",
    "content": "Early Stopping\n==============\n\nEarly stopping (ES) strategies provide increased efficiency for HPO algorithms by reducing the computational cost. This is \ndone by detecting the poor performance of certain hyperparameter settings early in the training and stopping the corresponding jobs. \nAs a result, better hyperparameter configurations can be found sooner with reduced compute resources. \n\nES is especially useful in the context of deep learning where the search space grows exponentially over increasing hyperparameters. \nES strategies provide users with advanced tools to aggressively explore larger search spaces over limited resources, \nwith tradeoffs between HPO speed and final model performance. \n\nAuptimizer provides 4 popular ES strategies namely – Bandit, Median, Truncation and Curve-Fitting, which can be applied to all Proposers.\nThe Bandit, Median and Curve-Fitting strategies are inspired by the following papers, while the Truncation strategy is provided to be used\nas a benchmark for other ES strategies: \n\n===============  ==============================================================================================================================================================================================================\nStrategy         Algorithm\n===============  ==============================================================================================================================================================================================================\nBandit           `HYPERBAND: Bandit-Based Configuration Evaluation For Hyperparameter Optimization <https://openreview.net/pdf?id=ry18Ww5ee>`__\nMedian           `Google Vizier: A Service for Black-Box Optimization <https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/46180.pdf>`__\nCurve-fitting    `Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves <http://aad.informatik.uni-freiburg.de/papers/15-IJCAI-Extrapolation_of_Learning_Curves.pdf>`__\n===============  ==============================================================================================================================================================================================================\n\nUsage\n@@@@@\n\nThe feature can be used by adding the following parameter to the experiment configuration file::\n\n  \"resource_args\": {\n    \"early_stop\":\n        {\n            \"aup_policy\": \"bandit\",\n            \"aup_policy_steps\": 5\n            ...\n        }\n   }\n   \n+ ``aup_policy``: the early stopping strategy in [\"bandit\", \"median\", \"truncation\" or \"curve_fitting\"]. \n+ ``aup_policy_steps``: integer, the interval of epochs, by which the intermediate results are compared among jobs and the ES policy is applied.\n\n``aup_policy`` and ``aup_policy_steps`` are the two parameters required for all ES strategies. There are also strategy-specifc parameters, which will be introduced below.\n\nIn order to track the intermediate results to be used in ES, ``aup.print_result`` should be called from the user script in the training loop, e.g.::\n  \n  def main(*args, **kwargs):\n    # model and data preparation code\n    for epoch in range(10):\n        # training code for one epoch\n        aup.print_result(res)\n\nExamples can be found in Auptimizer Gibhub repository at ``Examples/early_stopping/quad_equation_min`` and ``Examples/early_stopping/mnist_keras``. \n\nAdditionally, when using ES, the ``track_intermediate_results`` feature will be triggerd automatically. This means that the resulting intermediate results will be stored in the database in the ``intermediate_results`` table and \ncan be visualized via dashboard. This also means that the presence of ``track_intermediate_results`` in the experiment configuration file with any value, even false, will be ignored. \n\nAn optional parameter of ``warmup`` can also be used for all ES strategies (default is 0). ``warmup`` defines the number of initial epochs that should finish before the ES strategy starts to apply.\n\n\nStrategies\n@@@@@@@@@@\n\nBandit\n~~~~~~~\n\nThe bandit policy stops jobs that have a result lower than a specified percentage of the global best result of all jobs. This percentage is defined by the parameter ``bandit_factor``. The result to be compared among jobs is the best result obtained by \nthe job up to the same epoch.\n\nExample::\n\n    \"resource_args\": \n    {\n        \"early_stop\":\n        {\n            \"aup_policy\": \"bandit\",\n            \"aup_policy_steps\": 10,\n            \"bandit_factor\": 0.5\n        }\n    }\n\nIn this example, we stop jobs with the best result which is worse than 0.5 of the global best result. \nThis comparison and job cut-off is carried out every 10 epochs. \nDefault value for ``bandit_factor`` is 0.5, with higher values indicating more aggressive ES strategy.\n\n\nTruncation\n~~~~~~~~~~\n\nThe truncation policy cuts a fraction of the worst performing jobs, based on the jobs' best result obtained up to the same epoch. The fraction is specified by the parameter ``truncation_percentage``.\n\nExample::\n\n    \"resource_args\": \n    {\n        \"early_stop\":\n        {\n            \"aup_policy\": \"truncation\",\n            \"aup_policy_steps\": 10,\n            \"truncation_percentage\": 0.6\n        }\n    }\n    \nThis example stops 60% of the jobs every 10 epochs. Default value for ``truncation_percentage`` is 0.3, with higher values indicating more aggressive ES strategy. \n\n\nMedian\n~~~~~~~\n\nThe median policy stops the jobs that yield worse results than the median of the running average of results of all jobs up to the same epoch. \n\nExample::\n\n    \"resource_args\": \n    {\n        \"early_stop\":\n        {\n            \"aup_policy\": \"median\",\n            \"aup_policy_steps\": 10\n        }\n    }\n    \n\nCurve Fitting\n~~~~~~~~~~~~~~\n\nThe curve fitting policy attempts to fit each job's history to a weighted combination of multiple, pre-selected functions, in order to predict its final (best) value. It then stops jobs that fail to attain at least a threshold of the best overall result across all jobs. The implementation is adapted from `NNI <https://github.com/microsoft/nni/blob/master/docs/en_US/Assessor/CurvefittingAssessor.md>`__.\n\n**Caveats:** the biggest downside to curve fitting is that it is usually time-consuming. This makes curve fitting less applicable for small datasets, or tasks that train quickly. In order to address this issue, users should always provide a timeout for the maximum time allowed for each curve fitting process (default: 30s). After the specified time has run out, the curve-fitting process will be stopped and the last result obtained will be used. The longer the timeout, the better the results.\n\nExample::\n\n    \"resource_args\": \n    {\n        \"early_stop\":\n        {\n            \"aup_policy\": \"curve_fitting\",\n            \"aup_policy_steps\": 10,\n            \"curve_fitting_threshold\": 0.95,\n            \"curve_fitting_timeout\": 60\n        }\n    }\n\nExample for scripts that use ``aup.print_result`` for result reporting instead::\n\n    \"resource_args\":\n    {\n        \"early_stop\":\n        {\n            \"aup_policy\": \"curve_fitting\",\n            \"aup_policy_steps\": 10,\n            \"curve_fitting_threshold\": 0.95,\n            \"curve_fitting_timeout\": 60,\n            \"curve_fitting_max_iters\": 100\n        }\n    }\n    \nDefault values for ``curve_fitting_threshold``, ``curve_fitting_timeout`` are 0.95 and 60. ``curve_fitting_max_iters`` defaults to None.  \n"
  },
  {
    "path": "docs/edge.rst",
    "content": "Edge Deployment Tools\n---------------------\n.. toctree::\n   :maxdepth: 1\n\n   profiler.rst\n   dlconvert.rst"
  },
  {
    "path": "docs/environment.rst",
    "content": "Set up environment\n==================\n\n**Auptimizer** needs to be initialized properly before use, either through `python -m aup.setup` for interactive setup or `python -m aup.setup <config.ini>` with the specified configuration file. \\\n**We recommend users use the interactive setup when using auptimizer for the first time**.\n\nThe configuration file is used to set up **all** environment-related information for **Auptimizer**, such as number of CPUs, GPUs, or remote servers.\nAll your experiments and jobs will use the configuration.\n\nConfiguration Options\n---------------------\n\nTwo templates can be found at :code:`Examples/2dfunc_diff_res/*.ini`.\nThe detailed options are as follows.\n\nEnvironment Template File (\\*.ini)\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nFor a normal workstation, an example template is at :code:`Examples/2dfunc_diff_res/env_user_template.ini` for direct use. The command below will create a user environment profile (at `~/.aup/env.ini`) for quick-start::\n\n  python -m aup.setup ./Examples/2dfunc_diff_res/env_user_template.ini\n\nor to create a local environment folder for a particular experiment (in working folder `./.aup/env.ini`), use::\n\n  python -m aup.setup ./Examples/2dfunc_diff_res/env_local_template.ini\n\nThe content of the template is the following:\n\n+------------------+-----------------------------+--------------------------------------+\n| Name             | Purpose                     | Default value                        |\n+==================+=============================+======================================+\n| Auptimizer_PATH  | configuration folder for    | ``.aup``                             |\n|                  | Auptimizer, containing this |                                      |\n|                  | ``env.ini`` file and        |                                      |\n|                  | database file               |                                      |\n+------------------+-----------------------------+--------------------------------------+\n| SQL_ENGINE       | database engine, currently  | ``sqlite``                           |\n|                  | only supports sqlite        |                                      |\n+------------------+-----------------------------+--------------------------------------+\n| TMP_FOLDER       | temp folder for logging /   | ``/tmp/aup`` or ``./aup_tmp``        |\n|                  | scratch                     |                                      |\n+------------------+-----------------------------+--------------------------------------+\n\nAvailable resources for model training are specified by additional arguments, or via interactive questions.\n\n========= ======== =====================================================================================================\nArgument  Default  Details\n========= ======== =====================================================================================================\n--aws     none     a file containing ``user@instance-id``, or a comma-separated list\n--cpu     4        Number of processors to use on a single machine.\n--gpu     none     a file containing the GPU id number on a machine, or a comma-separated list.\n--node    none     a file containing ``user@IP`` for training, or a comma-separated list\n========= ======== =====================================================================================================\n\nAWS Mapping Configuration (--aws)\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n**Auptimizer** has the capability to start and stop AWS instances and assign jobs dynamically to the instances depending\non availability. To allow fragmented resource utilization within the AWS instance, edit the resources available to\n**Auptimizer** when installing it on the remote instance.\n\n1. To use the Auptimizer’s AWS option, install and configure `boto3 <https://pypi.org/project/boto3/>`_ and ensure your AWS\ninstances can be accessed with boto3. Then proceed to `install configure AWS\nCLI <https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html>`_.\n\n2. To run jobs on multiple AWS instances, we need to specify an AWS mapping file with `--aws <aws_mapping_file>`. \nSimilar to the above-mentioned node case, `<aws_mapping_file>` is a text file containing the username, AWS instance id\nand the SSH key file (.pem file).\n\nThe format of the file must be one of the following:\n\n  + `<username>@<instance_id> <ssh_key_file>`\n  + `<username>@<instance_id>`\n  + `<username>@<instance_id>:port`\n  + `<username>@<instance_id>:port <ssh_key_file>`\n\nwith each instance on a separate line, or if you setup the configuration interactively, you can provide them as\ncomma-separated values. The ``username`` is the one used to log into the instance.  The ``instance_id`` can be the EC2\ninstance ID, IP, or public DNS.\n\nRefer to ``Examples/2dfunc_diff_res/aws.txt`` for an example.\n\n3. Either you need to install **Auptimizer** on every node, or you need to copy ``<repo>/src/aup.py`` to your remote working\ndirectory.\n\n4. Finally, the environment of the instances might be *sourced* correspondingly for environment variables, e.g. ``PATH``.  For\ninstance, if you want to activate virtualenv on the instance before job running, use `prescript` in experiment.json (See\n:ref:`AWSRuntimeAnchor` for more detail).\n\n\nCPU Configuration (``--cpu``)\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nWe can specify how many parallel jobs to be run on CPUs.\nThe current implementation does **NOT** provide real isolation of hardware.\n\nGPU Mapping Configuration (``--gpu``)\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nTo run jobs on multiple GPUs, we need to specify a GPU mapping file with ``--gpu <gpu_mapping_file>``.\nThis file is a text file containing the IDs of GPU cards to use (in ``CUDA_VISIBLE_DEVICES``).\nSpecifically, each line contains a GPU id as an integer.\n\n+ For single GPU without parallel execution, use ``Examples/2dfunc_diff_res/plainGPU.txt``.\n+ Assign multiple jobs to run on the same device by assigning multiple\n  resource IDs to the same GPU id, i.e. ``0,0``). See ``Examples/2dfunc_diff_res/singleGPU.txt``.\n+ Assign multiple jobs on different GPUs on a local machine, i.e.::\n    \n    0\n    1\n\n  See ``Examples/2dfunc_diff_res/twoGPUs.txt``.\n\nNode Mapping Configuration (``--node``)\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nSimilar to GPU mapping, users can specify the computing nodes to be used with ``--node <node mapping file>`` during setup\n\nA node configuration file contains each node per line (e.g., ``username@hostname``.)\nAn SSH connection without password authentication is required\n(use ``ssh-keygen`` to create keyless access).\n\nThe format of the file must be one of the followings:\n\n+ `<username>@<IP> <ssh_key_file>`\n+ `<username>@<IP>`\n+ `<username>@<IP>:port`\n+ `<username>@<IP>:port <ssh_key_file>`\n\nwith each instance on a separate line, or if you setup the configuration interactively, you can provide them as\ncomma-separated values.\n\nFor remote execution, **Auptimizer** will not copy all job-related files to the remote machine.  User should make sure\nthe job script can run on the remote machine first.\n\nRefer to ``Examples/2dfunc_diff_res/node.txt`` for an example.\n\n\nEither you need to install **Auptimizer** on every node, or you need to copy ``<repo>/src/aup.py`` to your remote working\ndirectory.\n\nOptional arguments\n~~~~~~~~~~~~~~~~~~\n\n+ ``--overwrite`` - overwrite existing ``.aup`` folder. Otherwise, do nothing\n+ ``--log`` - choose log level from ``[debug,info,warn,error]``\n+ ``--user`` - not used. It specifies the user ownership for experiments.\n\nExamples\n~~~~~~~~\n\nPlease refer to ``Examples/2dfunc_diff_res/README.md`` for examples of \nhow to use different resources with **Auptimizer**.\n\n\nDatabase Setup\n--------------\n\nDuring the setup, **Auptimizer** creates a SQL database to track the jobs and experiments (currently\nonly ``sqlite`` is supported).\nTypically, users do not need to manually access it.\nHere we provide a little more detail for users to retrieve additional records for their analyses.\n\nThe database schema is described below:\n\n.. figure:: images/schema.png\n   :alt: SQL Schema\n\n   SQL Schema\n\nRefresh tables\n~~~~~~~~~~~~~~\n\nTo (re)create the database, users just need to follow the command printed\nafter ``python -m aup.setup``::\n\n  python -m aup.setupdb .aup/env.ini\n\nThis will parse the ``.aup/env.ini`` file to create the new database.\n\nRefresh tables with additional modification\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThe following argument can be customized by changing it in the\nheadings or from the command line to overwrite the ``aup.setup`` configuration:\n\n+-----------------------+-----------------------+-----------------------+\n| Name                  | Purpose               | Default value         |\n+=======================+=======================+=======================+\n| --cpu                 | Number of CPUs to be  | 4                     |\n|                       | used.                 |                       |\n+-----------------------+-----------------------+-----------------------+\n| --name                | Name for resources    | “localhost” ,         |\n|                       |                       | Currently not in use. |\n+-----------------------+-----------------------+-----------------------+\n| --user                | username for          | Currently not in use. |\n|                       | experiment tracking   |                       |\n|                       | and control           |                       |\n+-----------------------+-----------------------+-----------------------+\n\nFor example, if user wants to set maximum 2 jobs to be run on CPU in\nparallel, under name ``test``::\n\n    python -m aup.setupdb <path to env.ini> --cpus 2 --user test\n\nThen you can see the allocated ``resource`` table as::\n\n    echo \"select * from resource;\" | sqlite3 .aup/sqlite3.db\n\n    1|test|gpu|free\n    2|test|cpu|free\n    3|test|cpu|free\n    4|test|passive|free\n\nReset\n-----\n\nTo reset the history of **Auptimizer** experiments, there are two levels.\n\nFull reset\n~~~~~~~~~~\n\nRemoving :code:`.aup` folder will completely remove all history saved by **Auptimizer** as well as any configurations.\n\nUsing ``python -m aup.setup --overwrite <config.ini>`` will overwrite the existing folder and remove only the history.\n\nDatabase reset\n~~~~~~~~~~~~~~\n\nCurrently, **Auptimizer** experiments and jobs history is saved in ``.aup/sqlite.db`` database. There are two levels to reset the database itself.\n\nReset all\n@@@@@@@@@\n\nWe can also just refresh the database for the history by resetting the database file.\n\nUse (locally in working folder)::\n\n  python -m aup.setupdb .aup/env.ini\n\nor (user account-wise)::\n\n  python -m aup.setupdb ~/.aup/env.ini\n\nReset job status\n@@@@@@@@@@@@@@@@\n\nSometimes, when **Auptimizer** accidentally exits, the resources are not marked as free in the database and will prevent\nyou from using them within **Auptimizer**.  In such scenarios, you might want to reset the status of resources by::\n\n  python -m aup.setupdb.reset env.ini\n"
  },
  {
    "path": "docs/errors.rst",
    "content": "Errors and Solutions\n====================\n\nSetup stage\n-----------\n\n+ ``Failed to load environment template %s using ConfigParser``\n\n  Check the input ``env.ini`` template for potential mistakes or typos.\n\n+ ``SQL engine XXX is not implemented``\n\n  Currently only ``sqlite`` is supported.\n\n+ ``Cant' find XXX file for resource XXX``\n\n  The resource file is not found for Auptimizer\n\n+ ``Error while finding module specification for XXX``\n\n  XXX can be either ``aup.init`` or ``aup.setup``.  Double check whether you put the `aup.py` file for remote execution in your PYTHONPATH instead of the `aup` package.\n\nRun Experiment\n--------------\n\n+ Sometimes, when **Auptimizer** accidentally exits, the resources are not marked as free in the database and will prevent you from using them within **Auptimizer**.  In such scenarios, you might want to reset the status of resources by::\n\n    python -m aup.setupdb.reset env.ini"
  },
  {
    "path": "docs/experiment.rst",
    "content": "Create and run a new experiment\n===============================\n\n**Auptimizer** only needs a modified training script and an experiment configuration file (.json) to run a new experiment. \n\n1. Create the ``experiment.json`` file to specify the experiment configuration and hyperparameters. Using ``python -m aup.init`` will guide you interactively. This json file structure is generally the same for most algorithms with minor modifications. See :doc:`algorithm` for more details. \n\n2. Modify your training script. We provide three approaches for modifying the training script:\n\n   + `Manual conversion <#manual-modification-of-training-code>`_;\n   + `Python decorator <#code-conversion-with-decorator>`_;\n   + `Auto conversion for script (beta) <#auto-code-conversion>`_.  \n\n3. Your experiment is now ready to run via ``python -m aup experiment.json``. For more details, see `Run experiment`_. \n\nTerminology\n-----------\n\nFor data science applications, the **user** (AI scientist/engineer) solves a given data mining problem with a specified\nmachine learning model.\n\nA script (**code**) is written and some hyperparameters are identified to be explored during model training.\n\nTypically, the user carries out an **experiment** to examine a range of hyperparameter combinations  and measures the\n**performance** of the model on a hold-out dataset. For example, testing a deep learning model by exploring the learning\nrate between 0 and 1, and dropout between 0.4 and 0.6. the performance is measured by accuracy.\n\nEach individual training process for a given selection of hyperparameters (e.g., learning rate = 0.1, dropout = 0.5)  is\ncalled a **job**.\n\nAll jobs run on an assigned computational **resource**, e.g. CPU, GPU. And after all jobs are finished, the user\nretrieves the best model from the training history for further analysis or application.\n\nManual modification of training code \n------------------------------------\n\nIf you plan to change your training script manually, the general flow of the conversion process is as follows: \n\n  a. parse the configuration file (first argument from command line, i.e. ``sys.argv[1]``) using ``aup.BasicConfig.load(sys.argv[1])``.  And use the hyperparameters parsed from the ``BasicConfig`` in your code, such as ``config.param_name`` or ``config['param_name']``, where ``param_name`` need to be consistent with the one  used in ``experiment.json``.\n  b. to report the result by using ``aup.print_result``.\n  c. Add Shebang line ``#!/usr/bin/env python`` and make the script executable (``chmod u+x script.py``).\n\nCode conversion with decorator\n------------------------------\n\nFor better control, you can use `aup_args` or `aup_flags` to decorate your code.  The examples are in below:\n\n\n.. figure:: images/comparison.png\n   :alt: Code comparison\n\n   Example of using decorator for code conversion.\n\nAuto code conversion\n--------------------\n\nIf your training function takes all hyperparameters as input, then  **Auptimizer** converts code to run if the training script is well defined as follows::\n\n  python -m aup.convert <script> <exp_json> <func_name> -o [output]\n\n* ``script`` the original script used for training, it must contain the function with name ``func_name``.  Also no \"__main__\" inside the script.\n* ``exp_json`` experiment configuration defined by the user.  It must contain the hyperparameters used by ``func_name``.\n* ``func_name`` the entry function used for training. It uses all hyperparameters defined in ``exp_json``. All other inputs need to be optional and not overlapping with the hyperparameter names.\n* ``output`` optional name for output ``code``.  If not specified, it creates a file with the name specified in ``exp_json``.\n\nCheck out the folder ``Examples/2dfunc_diff_opt/README.md`` in the repository for example usage.\n\nRun experiment\n--------------\n\nOnce the experiment has been correctly set up, it is very easy to start the experiment::\n\n  python -m aup experiment.json\n\nAdditional arguments\n~~~~~~~~~~~~~~~~~~~~\n\n+ ``--test``: will run in test mode by executing one job\n+ ``--aup_folder``: manually specify the ``.aup`` folder\n+ ``--log``: set log level to ``[debug,info,warn,error]``\n+ ``--resume``: path to a pickled file saved by a previous experiment, will resume experiment from previous saved proposer state\n+ ``--sleep``: time delay for sequential jobs (avoid database collision)\n\n.. _AWSRuntimeAnchor:\n\nAdditional runtime configuration for Node/AWS\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThe user should either have Auptimizer installed on the remote machine, or at a minimum, copy the ``<repo>/src/aup.py`` script to the remote machine that can be imported by the jobs.\n\nAdditional configuration for node/AWS environment for runtime can be specified under the ``runtime_args`` in the ``experiment.json``.\nThis is important for setting up the environment on the remote machine.\nThe specific arguments are:\n\n+ ``prescript``: any script to be run before the job. (use ; to separate different commands)\n+ ``postscript``: any script to be run after the job.\n+ ``overwrite``: remove the existing job file if exists.  Otherwise, it will use the existing file on the node.\n+ ``env``: other environment variables, listed as dictionary `{\"CUDA_VISIBLE_DEVICES\":\"0\"}`\n\nOther resource-related arguments are under ``resource_args``:\n\n+ ``reconn_wait_time``: number of seconds to wait if SSH open connection is broken, before reconnecting.  Default is 30 (seconds).\n+ ``max_retries``: number of retry attempts, with 'reconn_wait_time' seconds before the job is tagged as failed. Default is 3.\n+ ``async_run``: whether to run the job asynchronously on the remote instance. This will allow Auptimizer to run the job on the instance and check periodically for completion, instead of maintaining an open connection. Default is False (boolean).\n+ ``async_reconnect``: number of seconds to wait and reconnect to check job status of async job. Default is 30 (seconds).\n+ ``async_timeout``: total number of seconds to wait from async job start before the job is tagged as failed and discarded. Default is None (seconds).\n+ ``shutdown``: turn off AWS instance after Experiment finishes. (only for AWS)\n+ ``connection_retry``: If starting a stopped instance, AWS connections attempts might fail initially. This variable controls the number of retry attempts every 30 seconds. Default is 10 (only for AWS).\n\nSee ``Examples/2dfunc_diff_res/`` for more examples of experiment json files.\n\n\nResults / further analysis\n--------------------------\n\nThe output of an experiment is saved in two places: \n\n+ ``jobs/`` folder contains the configuration of each job in ``<job_id>.json`` and output of each job in ``<job_id>.out``.\n+ ``.aup/sqlite.db`` database file contains the experiment history (configurations and results).  All jobs for different\n  experiments are all saved under unique IDs, unless it has been reset.\n\n"
  },
  {
    "path": "docs/hpo.rst",
    "content": "Hyperparameter Optimization\n---------------------------\n.. toctree::\n   :maxdepth: 1\n\n   experiment\n   algorithm\n   early_stop\n   demo\n   r_user"
  },
  {
    "path": "docs/index.rst",
    "content": ".. aup documentation master file, created by\n   sphinx-quickstart on Wed Oct 17 10:49:22 2018.\n   You can adapt this file completely to your liking, but it should at least\n   contain the root `toctree` directive.\n\n.. toctree::\n    :maxdepth: 2\n    :hidden:\n    \n    README\n\n.. include:: README.rst\n\nAdditional Resources\n====================\n\nInstall and setup\n-----------------\n.. toctree::\n   :maxdepth: 2\n\n   install\n\nHPO\n---\n.. toctree::\n   :maxdepth: 2\n\n   hpo\n\n   \nCompression\n-----------\n\n.. toctree::\n   :maxdepth: 2\n\n   compression_main\n\n   \nTools\n-----\n.. toctree::\n   :maxdepth: 2\n\n   edge\n\n\nDashboard\n---------\n\n.. toctree::\n   :maxdepth: 2\n\n   dashboard\n\nFor developers\n--------------\n\n.. toctree::\n   :maxdepth: 2\n\n   developer\n\nAPIs\n====\n\n.. toctree::\n   :maxdepth: 3\n\n   aup\n\nIndices and tables\n==================\n\n* :ref:`genindex`\n* :ref:`modindex`\n"
  },
  {
    "path": "docs/install.rst",
    "content": "Install and Setup Auptimizer\n----------------------------\n.. toctree::\n   :maxdepth: 1\n\n   setup\n   environment\n   "
  },
  {
    "path": "docs/prepare.sh",
    "content": "#!/usr/bin/env bash\n# this file is used for generating doc for github CI environment\n\ncd docs\npip install -r requirements.txt\npip install tensorflow==2.3.1\n\nmkdir ~/.aws\ncat > ~/.aws/config << EOL\n[default]\nregion=us-east-1\noutput=json\nEOL\n\ncd .."
  },
  {
    "path": "docs/prof_example.rst",
    "content": "Examples\n========\n\nWe present some examples on how to use profiler in\n`Profiler\nExamples <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples>`__ folder.\n\n\nTensorFlow Lite inference benchmarking\n--------------------------------------\n\nTo use Profiler on TensorFlow Lite Inference Benchmarking classification\nin the `benchmark <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples/bench>`__ folder.\n\n1. [Optional] Use the bench/download.sh script (wget must be installed on your system) to download mobilenet_v1_0.75_224 and\n   mobilenet_v1_1.0_224 (Alternatively, you can download a different set of TensorFlow Lite models from\n   (https://www.tensorflow.org/lite/guide/hosted_models) and save them\n   in `benchmark <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples/bench>`__ folder.)\n\n2. If needed, change arguments in ``env_benchmark.template``.\n\n3. Run ``python -m aup.profiler -e env_benchmark.template -m mobilenet_v1_0.75_224.tflite,mobilenet_v1_1.0_224.tflite``.\n\nThis will create Docker images ``mobilenet_v1_0.75_224_img`` and\n``mobilenet_v1_1.0_224_img`` and corresponding Docker containers\n``mobilenet_v1_0.75_224_con`` and ``mobilenet_v1_1.0_224_con``. It will\nexecute ``test_perf.py`` within these containers using the\n``Docker Volume`` command to run inference on the specified models. Once\nexecution finishes, Profiler will output the following statistics:\n\n::\n\n   Final Usage Stats\n   NAME                   AVG CPU %      PEAK CPU  AVG MEM USAGE / LIMIT    PEAK MEM    NET I/O          BLOCK I/O        TOTAL TIME (ms)\n   ---------------------  -----------  ----------  -----------------------  ----------  ---------------  -------------  -----------------\n   mobilenet_v1_0.75_224  225.09%          226.68  117.9 MiB / 1.9 GiB      117.9 MiB   742.0 B / 0.0 B  0.0 B / 0.0 B               6164\n   mobilenet_v1_1.0_224   244.258%         250.83  122.4 MiB / 1.9 GiB      126.9 MiB   766.0 B / 0.0 B  0.0 B / 0.0 B              12354\n\nThe results from each timestamp and each individual model are saved in\n``model_name``\\ +\\ ``out.txt`` (can be user-defined via ``OUTPUTFILE``\nin ``env_benchmark.template``). Additionally, a general summary is\nprovided in ``out.txt`` containing the final stats for all the tested\nmodels.\n\nMNIST training benchmarking\n---------------------------\n\nYou can also use Profiler to profile training. MNIST classification\nexample can be found in the `mnist <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples/mnist>`__ folder.\n\n1. [Optional] Download the MNIST dataset from\n   (http://yann.lecun.com/exdb/mnist/). Add the ``.gz`` files to the\n   data folder. Then open ``env_mnist.template`` file and edit the\n   ``DOCKER_ARGS`` option with the absolute path to the ``data`` folder\n   as ``-v /data/:/mnist_data``.\n\n2. Change other arguments in the ``env_mnist.template`` if you want.\n\n3. Run ``python -m aup.profiler -e env_mnist.template``.\n\nThis will create a Docker Image named ``test_image``, and a\ncorresponding Docker Container ``test_container``. It will execute\n``mnist.py`` within the container using Docker Volume command to load\nthe data. Once the execution finishes, the Profiler will output the\nfollowing statistics:\n\n::\n\n   Final Usage Stats\n   NAME            AVG CPU %      PEAK CPU  AVG MEM USAGE / LIMIT    PEAK MEM    NET I/O              BLOCK I/O        TOTAL TIME (ms)\n   --------------  -----------  ----------  -----------------------  ----------  -------------------  -------------  -----------------\n   test_container  316.532%         337.98  502.3 MiB / 1.9 GiB      537.0 MiB   12.0 MiB / 151.4 kB  0.0 B / 0.0 B             220842\n\nThe results from each timestamp are saved in ``out.txt`` (set via\n``OUTPUTFILE`` in ``env_mnist.template``)."
  },
  {
    "path": "docs/prof_readme.rst",
    "content": "How to use Profiler\n===================\n\n**Profiler is a simulator for profiling performance of Machine Learning\n(ML) model scripts.** Given compute- and memory resource constraints for\na CPU-based Edge device, Profiler can provide estimates of compute- and\nmemory usage for model scripts on the device. These estimations can be\nused to choose best performing models or, in certain cases, to predict\nhow much compute and memory models will use on the target device.\nBecause Profiler mimics the target device environment on the user’s\ndevelopment machine, the user can gain insights about the performance\nand resource needs of a model script without having to deploy it on the\ntarget device.\n\nCurrently, Profiler can be used to:\n\n1. **Select the most efficient model for your target deployment.** With\n   Profiler, you can compare how different models will perform under\n   specific compute and memory constraints. Our studies show that the\n   ranking of models based on runtime or memory use under Profiler\n   mirrors the ranking on a device with the same constraints.\n\n2. **Make model script performance and resource requirements at the Edge\n   more transparent.** Use Profiler to estimate model script’s runtime\n   or memory usage on a device. For similar classes of models (such as\n   different versions of MobileNet or ShuffleNet), there is a straight\n   line fit between model performance under Profiler and on the target\n   device. Once you run two or three models on the device, you can use\n   the results to find that straight line and predict a new model’s\n   performance with Profiler.\n\n3. **Foster lean ML model deployment at the Edge.** By using Profiler,\n   you can assess model-device compatibility and select the most\n   suitable model for your needs without the hustle of going through\n   multiple physical deployment cycles.\n\nHow Profiler works\n------------------\n\n1. **Simulates Device Constraints.** Profiler allows developers to\n   simulate different **compute** and **memory** constraints for the\n   execution of the application. This is especially useful for ML model\n   deployment, where testing on different edge devices can be tedious\n   and require actual deployment to individual devices to ensure\n   resource constraints are satisfied. Profiler can help easily\n   *approximate* these constraints on a single host device.\n\n2. **Provides Container Support.** Profiler encapsulates the\n   application, its requirements, and corresponding data into a Docker\n   container. It uses user inputs to build a corresponding Docker Image\n   so the application can run independently and without external\n   dependencies. It can then easily be scaled and ported to ease future\n   development and deployment. Profiler also removes the need for a\n   developer to acquaint themselves with internal workings of Docker.\n\n3. **Logs Resource Utilization.** Profiler also tracks and records\n   various resource utilization statistics of the application for\n   debugging purposes. It currently tracks Average CPU Utilization,\n   Memory Usage, and Block I/O. The logger also supports setting the\n   ``Sample Time`` to control how frequently Profiler samples\n   utilization statistics from the Docker container.\n\nWe have conducted over 300 experiments across multiple models, devices,\nand compute settings. Full results are available\n`here. <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples/experiments>`__\n\n\nUsage\n-----\n\nInstallation and requirements\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nProfiler is automatically installed as part of Auptimizer, further\nrequiring only Docker installation. Please refer to `Docker\ninstallation <https://docs.docker.com/install/>`__ on how to install\nDocker on your system.\n\nUsing Profiler\n~~~~~~~~~~~~~~\n\nUsing Profiler is simple and requires only a few steps. Once Docker and\nAuptimizer are installed, all you need to do is: \n\n1. Ensure that the prerequisites below are met \n2. Set up the Profiler user variables in ``env.template`` \n3. Have a script that will train or perform inference on your model \n4. run ``python -m aup.profiler`` on your model file(s) (multiple models can be provided as a comma-separated list using the ``-m`` or ``--modellist`` flags or as in a txt file using the ``-f`` or ``--modelfile`` flags)\n\n**Profiler flags:** \n\n1. -e or –environment : path to the environment file. \n2. -f or –modelfile : path to the text file containing different model names on new lines. \n3. -m or –modellist : list of model names as comma(‘,’) separated string (no spaces).\n\nPrerequisites\n~~~~~~~~~~~~~\n\nThe following prerequisites help to simplify the profiling procedure.\nExperienced users should feel free to modify it as needed.\n\n1. Consolidate your project into a single directory, such that the\n   primary application can run without any internal dependencies (the\n   data itself can be in a separate location).\n2. Consolidate your application into a single entry point for execution.\n   Use a wrapper file if needed. This single point of entry is needed\n   because Profiler will execute one command to run a single application\n   file. The application can accept different models as input.\n\nSet up Profiler user variables\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nProfiler can accept two arguments as inputs - the environment file\n(necessary) and model name list or file (optional). Refer to\n``env_mnist.template`` and ``env_benchmark.template`` in `Profiler\nExamples <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples>`__ for examples.\n\nCreate ``env.template``, and add the following variables as needed:\n\n1.  ``IMAGEREPO`` - **REQUIRED** Enter the name of base Docker\n    repository to use. Refer to https://hub.docker.com/ for public\n    repositories. Your base image could be anything from\n    ``tensorflow:1.3.0``, ``python3``, ``ubuntu`` etc.\n\n2.  ``APTREQUIREMENTS`` - **OPTIONAL** Enter all linux packages required\n    to run the application as a space-separated string. For example\n    “curl vim”. These packages will be installed using the command\n    ``apt-get install`` so ensure the packages are supported. This\n    variable can also be left empty (using \"\").\n\n3.  ``PIPREQUIREMENTS`` - **OPTIONAL** Enter all python libraries\n    required to run the application as a space-separated string. For\n    example “ipython numpy”. These packages will be installed using the\n    command ``pip install``, so ensure the libraries are supported. This\n    variable can also be left empty (using “”).\n\n4.  ``PRERUN`` - **OPTIONAL** Enter commands to execute before running\n    the applicati0on. ``PRERUN`` can be used to install any libraries\n    that cannot be installed through ``APTREQUIREMENTS`` or\n    ``PIPREQUIREMENTS``. For example, if you need a different version of\n    a library than what is available through pip, you can use PRERUN to\n    install it. See ``env_benchmark.template`` for an example.\n\n5.  ``DIR`` - **REQUIRED** Enter the local path to the users\n    consolidated directory containing the application. This directory\n    will be copied over to the Docker container.\n\n6.  ``SCRIPT`` - **REQUIRED** The name of the primary application file,\n    along with the path relative to the aforementioned ``DIR``. This\n    allows the container to find and execute the application file.\n\n7.  ``COMMAND`` - **REQUIRED** The command used to execute the\n    aforementioned script. For example ``python``.\n\n8.  ``SAMPLETIME`` - **REQUIRED** The wait period in seconds, when\n    Profiler will query the Docker for resource utilization. Avoid using\n    time periods smaller than 3 seconds since Profiler internally uses\n    the ``docker stats`` command which takes approximately 3 seconds to\n    finish. User can use decimal points.\n\n9.  ``OUTPUTFILE`` - **REQUIRED** The name of the file which will\n    contain all the resource utilization logs with timestamps.\n\n10. ``DOCFILE`` - **REQUIRED** The name of a user-defined Dockerfile,\n    path relative to Profiler directory. This command will supersede all\n    previous variables and build the Docker image from the ``DOCFILE``.\n    The user should only use this variable if they have already tested\n    their Dockerfile with the application to make sure they are\n    compatible.\n\n11. ``DOCKCPUS`` - **OPTIONAL** The amount of CPU processing compute\n    power allowed to the application. Must be real number. Can be a\n    floating point decimal. For example “2.5”. Refer to\n    https://docs.docker.com/config/containers/resource_constraints/. Can\n    be empty - no CPU constraint.\n\n12. ``DOCKMEMORY`` - **OPTIONAL** The amount of memory allowed to the\n    application. Must be a positive integer, followed by a suffix of b,\n    k, m, g, to indicate bytes, kilobytes, megabytes, or gigabytes . For\n    example “156m”. Refer to\n    https://docs.docker.com/config/containers/resource_constraints/. Can\n    be empty - no memory constraint.\n\n13. ``DOCK_ARGS`` - **OPTIONAL** Additional Docker-related arguments are\n    added here. For instance, to allow Docker to run the container with\n    the Privileged tag, use ``--privileged``. Refer to\n    https://docs.docker.com/engine/reference/run/#runtime-privilege-and-linux-capabilities.\n    To use volume to mount additional folder (e.g. data folder), use\n    ``-v /path/in/source:/path/in/destination``.\n\nIf your primary application needs external model weight files as\narguments, you can further provide a list of the names of model weight\nfiles. This list can be provided as a list of comma(‘,’) separated\nstrings of the model names or a text file with strings of the model\nnames, each on a new line.\n\nInterpreting results\n--------------------\n\nA summary of each Profiler run can be found in ``out.txt`` (the filename\ncan be user-specified using the ``OUTPUTFILE`` argument in the\nenvironment file).\n\nThe individual model ``OUTPUTFILE``\\ s contain the raw values of\ndifferent metrics profiled at distinct ``SAMPLETIME`` intervals using\n``docker stats`` as a subroutine (https://docs.docker.com/engine/reference/commandline/stats/)\n\nEach row contains the following values:\n\n1. Name - name of the Docker container.\n2. CPU % - the instantaneous cpu utilization (https://docs.docker.com/config/containers/resource_constraints/).\n3. MEM USAGE / LIMIT - the instantaneous memory utilization and corresponding limit (https://docs.docker.com/config/containers/resource_constraints/).\n4. NET I/O - refers to network input/output, the total amount of data the container has sent and received (https://docs.docker.com/engine/reference/commandline/stats/).\n5. BLOCK I/O - refers to the amount of data the container has read to and written from block devices (this could be memory external to the container or to actual HDD use) on the host (https://docs.docker.com/engine/reference/commandline/stats/).\n6. TIME - the current timestamp of the measurement.\n\nThe Usage Stats table shows the average utilization over the container’s\nlifetime for the aforementioned CPU % and MEM USAGE / LIMIT. For NET I/O\nand BLOCK I/O the total input/output data metrics are returned, instead\nof the average statistics.\n\nThe final usage stats from each run of Profiler is appended to\n``OUTPUTFILE`` and provides a quick overview of the result of running\nProfiler multiple times.\n\nExamples\n--------\n\nWe present some examples on how to use profiler in\n`Profiler\nExamples <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples>`__ folder.\n\n\nTensorFlow Lite Inference Benchmarking\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nTo use Profiler on TensorFlow Lite Inference Benchmarking classification\nin the `benchmark <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples/bench>`__ folder.\n\n1. [Optional] Use the bench/download.sh script (wget must be installed on your system) to download mobilenet_v1_0.75_224 and\n   mobilenet_v1_1.0_224 (Alternatively, you can download a different set of TensorFlow Lite models from\n   (https://www.tensorflow.org/lite/guide/hosted_models) and save them\n   in `benchmark <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples/bench>`__ folder.)\n\n2. If needed, change arguments in ``env_benchmark.template``.\n\n3. Run ``python -m aup.profiler -e env_benchmark.template -m mobilenet_v1_0.75_224.tflite,mobilenet_v1_1.0_224.tflite``.\n\nThis will create Docker images ``mobilenet_v1_0.75_224_img`` and\n``mobilenet_v1_1.0_224_img`` and corresponding Docker containers\n``mobilenet_v1_0.75_224_con`` and ``mobilenet_v1_1.0_224_con``. It will\nexecute ``test_perf.py`` within these containers using the\n``Docker Volume`` command to run inference on the specified models. Once\nexecution finishes, Profiler will output the following statistics:\n\n::\n\n   Final Usage Stats\n   NAME                   AVG CPU %      PEAK CPU  AVG MEM USAGE / LIMIT    PEAK MEM    NET I/O          BLOCK I/O        TOTAL TIME (ms)\n   ---------------------  -----------  ----------  -----------------------  ----------  ---------------  -------------  -----------------\n   mobilenet_v1_0.75_224  225.09%          226.68  117.9 MiB / 1.9 GiB      117.9 MiB   742.0 B / 0.0 B  0.0 B / 0.0 B               6164\n   mobilenet_v1_1.0_224   244.258%         250.83  122.4 MiB / 1.9 GiB      126.9 MiB   766.0 B / 0.0 B  0.0 B / 0.0 B              12354\n\nThe results from each timestamp and each individual model are saved in\n``model_name``\\ +\\ ``out.txt`` (can be user-defined via ``OUTPUTFILE``\nin ``env_benchmark.template``). Additionally, a general summary is\nprovided in ``out.txt`` containing the final stats for all the tested\nmodels.\n\nMNIST Training Benchmarking\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nYou can also use Profiler to profile training. MNIST classification\nexample can be found in the `mnist <https://github.com/LGE-ARC-AdvancedAI/auptimizer/tree/master/Examples/profiler_examples/mnist>`__ folder.\n\n1. [Optional] Download the MNIST dataset from\n   (http://yann.lecun.com/exdb/mnist/). Add the ``.gz`` files to the\n   data folder. Then open ``env_mnist.template`` file and edit the\n   ``DOCKER_ARGS`` option with the absolute path to the ``data`` folder\n   as ``-v /data/:/mnist_data``.\n\n2. Change other arguments in the ``env_mnist.template`` if you want.\n\n3. Run ``python -m aup.profiler -e env_mnist.template``.\n\nThis will create a Docker Image named ``test_image``, and a\ncorresponding Docker Container ``test_container``. It will execute\n``mnist.py`` within the container using Docker Volume command to load\nthe data. Once the execution finishes, the Profiler will output the\nfollowing statistics:\n\n::\n\n   Final Usage Stats\n   NAME            AVG CPU %      PEAK CPU  AVG MEM USAGE / LIMIT    PEAK MEM    NET I/O              BLOCK I/O        TOTAL TIME (ms)\n   --------------  -----------  ----------  -----------------------  ----------  -------------------  -------------  -----------------\n   test_container  316.532%         337.98  502.3 MiB / 1.9 GiB      537.0 MiB   12.0 MiB / 151.4 kB  0.0 B / 0.0 B             220842\n\nThe results from each timestamp are saved in ``out.txt`` (set via\n``OUTPUTFILE`` in ``env_mnist.template``).\n"
  },
  {
    "path": "docs/profiler.rst",
    "content": "Profiler\n--------\n.. toctree::\n   :maxdepth: 1\n\n   prof_readme\n   prof_example"
  },
  {
    "path": "docs/r_user.rst",
    "content": "Setup for R\n===========\n\nInstall Auptimizer for R User\n-----------------------------\n\nFrom the `R-src` folder, run the following command in `R` will install the `Auptimzier` R interface:\n\n.. code:: R\n\n    install.packages('devtools')\n    devtools::install('Rpackage')\n\nSee below for setting up Auptimizer.\n\nExperiment Setup\n----------------\n\nAuptimizer is running in Python.  See setup in Python first.\n\nThe main workflow is blow:\n\n1. Setup Python Auptimizer environment by ``python -m aup.setup``\n2. Change your R script:\n\n   a. Make all hyperparameters as global variables.\n   b. Add ``#!/usr/bin/env Rscript`` as the first line.\n   c. Add ``source(\"auptimizer\")``.\n   d. Add ``get_config()``, which will automatically update the hyperparameters globally set in step a.\n   e. Add ``print_result(score)`` to return the target score you want to optimize for you script.\n   f. Change file permission as ``chmod u+x <your_R_script>``.\n   g. Add them into an Auptimizer experiment by ``python -m aup.init``.\n\n3. Run Auptimizer as ``python -m aup experiment.json``.\n\nExamples\n--------\n\nWe provide two simple examples to use auptimizer on `Github <https://github.com/LGE-ARC-AdvancedAI/auptimizer/R-src/example>`__.\n\nMore Information\n----------------\n\nSee `Auptimizer Github <https://github.com/LGE-ARC-AdvancedAI/auptimizer>`__ for more information."
  },
  {
    "path": "docs/requirements.txt",
    "content": "Sphinx\nsphinx_rtd_theme\nsphinxcontrib-programoutput"
  },
  {
    "path": "docs/setup.rst",
    "content": "First time installation\n=======================\n\n\nInstallation\n~~~~~~~~~~~~\n\n**Auptimizer** has been well tested on the Linux environment. It has not been well tested under Windows and there exists the potential for issues.\n\n*NOTE*: To avoid potential issues with version or permission, use :code:`virtualenv` or :code:`pip install --user` for local installation.\n\nReleased version\n@@@@@@@@@@@@@@@@\n\nRun the following command from :code:`bash` to install:\n\n::\n\n   pip install auptimizer\n\n**Note** Dependencies are not included. Using ``pip install``\n`requirements.txt <https://github.com/LGE-ARC-AdvancedAI/auptimizer/blob/master/requirements.txt>`_ will install\nnecessary libraries for all functionalities.\n\nDevelopment version\n@@@@@@@@@@@@@@@@@@@\n\nRun the following command from :code:`bash` to install the latest version of **Auptimizer**::\n\n  git clone <source code repo link>\n  cd Auptimizer\n  pip install -r requirements.txt\n  python setup.py install\n\nNote: Python2 is required for `spearmint` package, and Python>3=3.6 is recommended for `BOHB` algorithm.\n\nEnvironment Setup\n~~~~~~~~~~~~~~~~~\n\nCurrently, **Auptimizer** relies on an environment folder to access the system resources and track experiment history.\nUsing `python -m aup.setup` will guide you through the setup.\n:doc:`environment` has more detailed explanations about the different configurations.\n\nThere are two places you can save the environment file - **Auptimizer** will first search the folder named `.aup` in\nyour working folder (where you run your command) and then your home folder (`~`). Otherwise, you specify it at runtime\nwith the `--aup` argument. An error will be thrown if this environment file cannot be found.\n\nYou are now ready to use **Auptimizer** for your experiment.  See :doc:`experiment` to learn how to change your code.\n"
  },
  {
    "path": "docs/version.rst",
    "content": "Version History\n===============\nversion 2.0\n~~~~~~~~~~~\n\n+ Add Dashboard to provide insightful visualizations to help users track experiment progress, analyze and contrast jobs, experiments, and optimization approaches\n+ Add Compressor - a model compression tool that helps reduce memory complexity and inference time of neural networks\n+ Add 4 early stopping strategies to improve the efficiency of HPO experiments\n+ Add feature to track intermediate results of both HPO and compression experiments\n+ Add feature to save the best model with the best hyperparameter combination\n+ Add feature to track multiple results returned from the HPO experiment\n+ Refactor documentation\n+ Minor bug fixes\n\n+ :download:`Auptimizer 2.0 wheel python2 or python3 <archive/Auptimizer-2.0-py2.py3-none-any.whl>`\n\nversion 1.4\n~~~~~~~~~~~~\n\n+ Add Converter to convert models in various formats into TensorFlow Lite or ONNX\n+ Add feature to enhance SSH connection robustness: re-establish SSH connection upon connection failure\n+ Add feature to enhance experiment robustness: retry failed jobs and resume experiment from job failure\n+ Refactor documentation\n+ Minor bug fixes\n\n+ :download:`Auptimizer 1.4 wheel python2 or python3 <archive/Auptimizer-1.4-py2.py3-none-any.whl>`\n\nversion 1.3\n~~~~~~~~~~~~\n\n+ Add Profiler for profiling model scripts\n\n+ :download:`Auptimizer 1.3 wheel python2 <archive/Auptimizer-1.3-py2-none-any.whl>`\n+ :download:`Auptimizer 1.3 wheel python3 <archive/Auptimizer-1.3-py3-none-any.whl>`\n\nversion 1.2\n~~~~~~~~~~~\n\n+ Add BOHB proposer\n+ Add decorator to simplify the experiment setup\n+ Minor changes and bug fixes\n\n+ :download:`Auptimizer 1.2 wheel python2 <archive/Auptimizer-1.2-py2-none-any.whl>`\n+ :download:`Auptimizer 1.2 wheel python3 <archive/Auptimizer-1.2-py3-none-any.whl>`\n\nversion 1.1\n~~~~~~~~~~~~~~\n\n+ Add R interface.\n+ Minor changes and bug fixes.\n\n+ :download:`Auptimizer 1.1 wheel python2 <archive/Auptimizer-1.1-py2-none-any.whl>`\n+ :download:`Auptimizer 1.1 wheel python3 <archive/Auptimizer-1.1-py3-none-any.whl>`\n\n\nversion 1.0\n~~~~~~~~~~~~~~\n\nRelease to Github\n\n+ :download:`Auptimizer 1.0 wheel python2 <archive/Auptimizer-1.0-py2-none-any.whl>`\n+ :download:`Auptimizer 1.0 wheel python3 <archive/Auptimizer-1.0-py3-none-any.whl>`\n\n"
  },
  {
    "path": "oss-package.info",
    "content": "## Package Information\nPackageName: EAS\nPackageVersion: b20c48a\nPackageFileName: eas\nPackageDownloadLocation: https://github.com/han-cai/EAS\nPackageHomePage: https://github.com/han-cai/EAS\nPackageLicenseConcluded: MIT\n\n## Package Information\nPackageName: hyperband\nPackageVersion: a632209\nPackageFileName: HyperbandProposer.py\nPackageDownloadLocation: https://github.com/zygmuntz/hyperband\nPackageHomePage: https://github.com/zygmuntz/hyperband\nPackageLicenseConcluded: modified BSD-2-Clause (https://github.com/zygmuntz/hyperband/blob/master/LICENSE)\n\n## Package Information\nPackageName: HyperOpt\nPackageVersion: 762e89\nPackageFileName: hyperopt\nPackageDownloadLocation: https://github.com/hyperopt/hyperopt\nPackageHomePage: https://github.com/hyperopt/hyperopt\nPackageLicenseConcluded: https://github.com/hyperopt/hyperopt/blob/master/LICENSE.txt\n\n## Package Information\nPackageName: spearmint\nPackageVersion: 70309f0\nPackageFileName: spearmint\nPackageDownloadLocation: https://github.com/JasperSnoek/spearmint\nPackageHomePage: https://github.com/JasperSnoek/spearmint\nPackageLicenseConcluded: https://github.com/JasperSnoek/spearmint\n\n## Package Information\nPackageName: HpBandSter\nPackageVersion: 841db4b\nPackageFileName: hpbandster\nPackageDownloadLocation: https://github.com/automl/HpBandSter\nPackageHomePage: https://automl.github.io/HpBandSter/build/html/index.html\nPackageLicenseConcluded: BSD-3\n"
  },
  {
    "path": "publish.sh",
    "content": "#!/usr/bin/env bash\n# Publish documentation on github.io\n# Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\nset -e \n\nflag=$(python -c 'import platform; major, minor, patch = platform.python_version_tuple();print(major==\"3\" and minor==\"7\")')\n\nif [ $flag == \"False\" ]; then\n  echo \"Only publish with python3.7\"\n  exit 0\nfi\n\n\nCOMMIT=$(git show --format=\"%h\" --no-patch)\n\ncd docs\nmake html\n\ncd ../..\ngit clone -b gh-pages \"https://$GH_TOKEN@github.com/$ORG/$REPO.git\" gh-pages\ncd gh-pages\n\n\ngit config user.name \"Travis Builder\"\ngit config user.email \"$EMAIL\"\n\n\nsed 's/docs\\/images\\/demo.gif/_images\\/demo.gif/g' ../$REPO/README.md > ./README.md\n\ncp ../$REPO/AuptimizerBlackLong.png .\ncp -R ../$REPO/docs/_build/html/* ./\ngit add -A .\ngit commit -m \"[ci skip] Autodoc commit for $COMMIT.\"\ngit push -q origin gh-pages\n"
  },
  {
    "path": "requirements.txt",
    "content": "click\nnumpy\ncoloredlogs\nsix==1.12.0\nfutures; python_version == '2.7'\nprotobuf\nweave; python_version == '2.7'\nmatplotlib\npandas\nnetworkx\nhyperopt\nnose\nparamiko==2.7.1\nboto3\nmock; python_version < '3.3'\nfuture\nConfigSpace; python_version >= '3'\npytest-cov\ncodecov\ntabulate\nschema\njson_tricks\ntqdm\nhpbandster; python_version >= '3'\nmock-ssh-server==0.8.2\nconnexion[swagger-ui]==2.5.0\nflask==1.1.2\nflask-cors==3.0.8\nrequests==2.23.0\nprettytable\npsutil\nscikit-learn\nthop\npsutil\n"
  },
  {
    "path": "setup.py",
    "content": "# Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\nfrom setuptools import setup, find_packages\n\nBASE_URL=\"https://github.com/LGE-ARC-AdvancedAI/auptimizer\"\n\nCONSOLE_SCRIPTS = []\nCONSOLE_SCRIPTS.append('dashboard = aup.dashboard.dashboard:main')\n\ndef find_version():\n    # based on https://packaging.python.org/guides/single-sourcing-package-version/\n    # find version number\n    import os\n    import re\n    file = os.path.join(os.path.abspath(os.path.dirname(__file__)), \"src\", \"aup\", \"__init__.py\")\n    with open(file, 'r') as fp:\n        content = fp.read()\n    match = re.search(r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\", content, re.M)\n    if match:\n        return match.group(1)\n    else:\n        raise RuntimeError(\"Failed to find version in __init__.py\")\n\n\nsetup(\n    name='Auptimizer',\n    version=find_version(),\n    author=\"LG Electronics Inc.\",\n    author_email=\"auptimizer@lge.com\",\n    scripts=['src/aup/profiler/profiler.sh', 'src/aup/profiler/statscript.sh'],\n    license='SPDX-License-Identifier: GPL-3.0-or-later',\n    long_description=open('README.md').read(),\n    long_description_content_type='text/markdown',\n    url=BASE_URL,\n    project_urls={\n        \"Bug Tracker\": BASE_URL+\"/issues\",\n        \"Documentation\": \"https://lge-arc-advancedai.github.io/auptimizer/\",\n        \"Source Code\": BASE_URL,\n    },\n    # install_requires=open(\"requirements.txt\").readlines(),\n    packages=find_packages(\"src\", exclude=[\"tests\"]),\n    package_dir={\"\": \"src\"},\n    entry_points={\n        'console_scripts': CONSOLE_SCRIPTS,\n    },\n    zip_safe=False,\n    include_package_data=True\n)\n"
  },
  {
    "path": "src/aup/EE/Experiment.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.EE.Experiment module\n========================\n\n:mod:`aup.EE.Experiment` is called by `aup.__main__` to start an experiment.\n\nSee :doc:`algorithm` for configuration specification.\n\nAPIs\n----\n\"\"\"\n\nimport json\nimport logging\nimport os\nimport signal\nimport sys\nimport _thread\nimport threading\nimport time\n\nfrom ..Proposer import get_proposer, SPECIAL_EXIT_PROPOSERS\nfrom .Job import Job\nfrom .Resource import get_resource_manager\nfrom ..aup import BasicConfig\nfrom ..utils import set_default_keyvalue, check_missing_key, get_default_connector, get_default_username\nfrom ..compression.utils import *\nfrom ..Proposer import ProposerStatus\n\nlogger = logging.getLogger(__name__)\n\n\ndef _verify_config(config):\n    \"\"\"\n    verify the experiment configuration is fulfilled for experiment\n\n    :param config: experiment configuration\n    :return: config if verified\n    \"\"\"\n    check_missing_key(config, \"script\", \"Missing required value for 'script'.\", log=logger)\n    check_missing_key(config, \"resource\", \"Missing required value for 'resource'\", log=logger)\n    check_missing_key(config, \"name\", \"Missing required value for 'name'\", log=logger)\n    return config\n\n\nclass Experiment:\n    \"\"\"\n    Experiment Class - create and run an experiment\n\n    :param exp_config: configuration of the experiment\n    :type exp_config: BasicConfig.BasicConfig\n    :param username: username, default: None - will use login username\n    :type username: str\n    :param connector: connector to database\n    :type connector: AbstractConnector\n    :param auppath: Auptimizer env.ini file folder, default is either ``./.aup`` or ``~/.aup``\n    :type auppath: str\n    :param sleep_time: time to pause between jobs\n    :type sleep_time: int\n    \"\"\"\n\n    def __init__(self,\n                 exp_config,\n                 username=None,\n                 connector=None,\n                 auppath=os.path.join(\".aup\"),\n                 sleep_time=1,\n                 eid=None,\n                 start=True,\n                 request_stop_time=5):\n        self.sleep_time = sleep_time\n        self.fail_safe = False\n        self.job_retries = 0\n        self.exp_config = _verify_config(exp_config)\n        self.resource_args = None\n        self.connector = connector if connector else get_default_connector(auppath=auppath, log=logger)\n        self.username = get_default_username(username)\n        self.is_compression_exp = False\n        self.compression_params = []\n        self.request_stop_thr = None\n        self.request_stop_time = request_stop_time\n        self.submitted = False\n\n        if \"job_failure\" in self.exp_config:\n            set_default_keyvalue(\"ignore_fail\", False, self.exp_config[\"job_failure\"], log=logger)\n            set_default_keyvalue(\"job_retries\", 3, self.exp_config[\"job_failure\"], log=logger)\n            self.fail_safe = self.exp_config[\"job_failure\"][\"ignore_fail\"]\n            self.job_retries = self.exp_config[\"job_failure\"][\"job_retries\"]\n\n        if \"compression\" in self.exp_config:\n            self.is_compression_exp = True\n            self.exp_config, self.compression_params = translate_compression_config(self.exp_config)\n\n        set_default_keyvalue(\"cwd\", os.getcwd(), self.exp_config, log=logger)\n        set_default_keyvalue(\"workingdir\", os.getcwd(), self.exp_config, log=logger)\n        set_default_keyvalue(\"n_parallel\", 1, self.exp_config, log=logger)\n        check_missing_key(self.exp_config, \"target\", \"Specify max/min for target\", log=logger)\n        check_missing_key(self.exp_config, \"proposer\", \"Specify the optimization `proposer`\", log=logger)\n        self.proposer = get_proposer(self.exp_config['proposer'])(self.exp_config)\n        if \"resource_args\" in self.exp_config:\n            if \"early_stop\" in self.exp_config[\"resource_args\"]:\n                self.exp_config[\"resource_args\"][\"track_intermediate_results\"] = True\n            self.resource_manager = get_resource_manager(self.exp_config[\"resource\"], self.connector,\n                                                         self.exp_config[\"n_parallel\"], auppath=auppath,\n                                                         maximize=(self.exp_config[\"target\"] == \"max\"),\n                                                         **self.exp_config[\"resource_args\"],\n                                                         workingdir=self.exp_config['workingdir'],\n                                                         script=self.exp_config['script'],\n                                                         runtime_args = exp_config.get('runtime_args', {}))\n            self.resource_args = self.exp_config[\"resource_args\"]\n        else:\n            self.resource_manager = get_resource_manager(self.exp_config[\"resource\"], self.connector,\n                                                         self.exp_config[\"n_parallel\"], auppath=auppath,\n                                                         maximize=(self.exp_config[\"target\"] == \"max\"),\n                                                         workingdir=self.exp_config['workingdir'],\n                                                         script=self.exp_config['script'],\n                                                         runtime_args = exp_config.get('runtime_args', {}))\n        if eid is None:\n            if start is True:\n                self.eid = self.resource_manager.connector.start_experiment(self.username, self.exp_config[\"name\"], \\\n                                json.dumps(self.exp_config))\n            else:\n                self.eid = self.resource_manager.connector.create_experiment(self.username, self.exp_config[\"name\"], \\\n                                json.dumps(self.exp_config))\n        else:\n            self.eid = eid\n            self.resource_manager.connector.start_experiment_by_eid(self.eid)\n        self.resource_manager.eid = self.eid\n        self.pending_jobs = {}\n        if 'runtime_args' in exp_config:\n            self.runtime_args = exp_config['runtime_args']\n        else:\n            self.runtime_args = {}\n        logger.info(\"Experiment %d is created\" % self.eid)\n        logger.debug(\"Experiment config is %s\" % json.dumps(self.exp_config))\n\n    def add_suspend_signal(self):\n        signal.signal(signal.SIGINT, lambda x, y: self._suspend(x, y))\n\n    def add_refresh_signal(self):\n        signal.signal(signal.SIGUSR1, lambda x, y: self._force_refresh(x, y))\n\n    def finish(self):\n        \"\"\"\n        Finish experiment if no job is running\n\n        :return: job id, best score\n        :rtype: (int, float)\n        \"\"\"\n        while self.proposer.get_status() == ProposerStatus.RUNNING:\n            logger.debug(\"Waiting for proposer\")\n            time.sleep(self.sleep_time)\n\n        while len(self.pending_jobs) != 0:\n            # resource manager will prevent experiment shutdown with pending jobs.\n            # but just in case\n            logger.debug(\"Waiting for pending job\")\n            time.sleep(self.sleep_time)\n\n        result = self.resource_manager.finish(status=self.proposer.get_status().name)\n        self.connector.close()\n\n        if self.request_stop_thr is not None:\n            self.request_stop_thr.join()\n\n        if result is None or len(result) == 0:\n            logger.warning(\"No result so far\")\n            return None, -1\n        else:\n            logger.info(\"Finished\")\n            logger.critical(\"Best job (%d) with score %f in experiment %d\" % (result[0], result[1], self.eid))\n            try:\n                self.proposer.save(os.path.join(\".\", \"exp%d.pkl\" % self.eid))\n            except NotImplementedError:\n                pass\n            return result[:2]\n\n    def resume(self, filename):\n        \"\"\"\n        Restore previous experiment, previous job during suspension won't be run in this round\n\n        :param filename: filename (saved by pickle as exp%d.pkl)\n        :type filename: str\n        \"\"\"\n        self.proposer.reload(filename)   # Note: previously failed jobs won't be execute again.\n        self.start()\n\n    def start(self):\n        \"\"\"\n        Start experiment\n        \"\"\"\n        remaining_jobs = self.proposer.get_remaining_jobs()\n        parallel_jobs = min(remaining_jobs, self.exp_config.n_parallel)\n\n        self.request_stop_thr = threading.Thread(target=self._check_status)\n        self.request_stop_thr.start()\n\n        for i in range(parallel_jobs - len(self.pending_jobs)):\n            rc = self.submit_job()\n            self.submitted = self.submitted or rc\n            if not self.submitted:\n                logger.fatal(\"No job is running; quit\")\n                self.proposer.set_status(ProposerStatus.FAILED)\n                raise Exception(\"Cannot run experiment!\")\n            elif not rc:\n                logger.warning(\"Job submission failed, keep running\")\n\n    def submit_job(self, job=None, rid_blacklist=None):\n        \"\"\"\n        Submit a new job to run if there is resource available\n        :param job: optional job parameter in case a job needs resubmitting\n        :type job: aup.EE.Job.Job object\n        :param rid_blacklist: resource ids to exclude when submitting job\n        :type rid_blacklist: [int]\n\n        :return: True if job submitted, else False\n        \"\"\"\n        rid = self.resource_manager.get_available(self.username, self.exp_config[\"resource\"], rid_blacklist=rid_blacklist)\n        if rid is None:\n            self.resource_manager.log_error_message(\"Not enough resources!\")\n            logger.warning(\"Increase resource or reduce n_parallel, no enough resources\")\n            return False\n\n        if job is None:\n            proposal = self.proposer.get()\n            if proposal is not None and self.is_compression_exp:\n                proposal = deserialize_compression_proposal(self.exp_config, self.compression_params, proposal)\n            self.proposer.increment_job_counter()\n        if job is None and proposal is None:\n            if self.exp_config['proposer'] in SPECIAL_EXIT_PROPOSERS:\n                logger.info(\"%s is waiting to finish.\" % self.exp_config['proposer'])\n                return True\n            else:\n                logger.warning(\"Waiting other jobs finished\\n\"\n                               \"Think about rebalance your task loads, if you see this message shows up too many\")\n                return False\n        else:\n            if job is None:\n                job_config = BasicConfig(**proposal)\n                job = Job(self.exp_config[\"script\"], job_config, self.exp_config[\"workingdir\"], retries=self.job_retries)\n                job.jid = self.resource_manager.connector.job_started(self.eid, rid, job_config)\n            else:\n                self.resource_manager.connector.job_retry(rid, job.jid)\n            logger.info(\"Submitting job %d with resource %d in experiment %d\" % (job.jid, rid, self.eid))\n            job.was_executed = False\n            self.pending_jobs[job.jid] = job\n            # update the status, but after appending to pending_jobs\n            # to avoid premature termination\n            self.proposer.check_termination()\n            self.resource_manager.run_job(job, rid, self.exp_config, self.update, **self.runtime_args)\n            return True\n\n    def update(self, score, jid):\n        \"\"\"\n        Callback function passed to :mod:`aup.EE.Resource.AbstractResourceManager` to\n         update the job history (also proposer and connector)\n\n        :param score: score returned from job (using :func:`aup.utils.print_result`)\n        :type score: float\n        :param jid: job id\n        :type jid: int\n        \"\"\"\n        if score == \"ERROR\":\n            job = self.pending_jobs.pop(jid)\n            if job.jid in self.resource_manager.jobs and \\\n                job.curr_retries < job.retries:\n                rid = self.resource_manager.jobs[jid]\n                job.rid_blacklist.add(rid)\n                self.resource_manager.connector.job_failed(rid, jid)\n                job.curr_retries += 1\n                logger.info(\"Retrying job %d (%d/%d)\" % (jid, job.curr_retries, job.retries))\n                self.submit_job(job, rid_blacklist=job.rid_blacklist)\n            elif not self.fail_safe:\n                self.resource_manager.finish_job(jid, None, \"FAILED\")\n                self.proposer.set_status(ProposerStatus.FAILED)\n                logger.fatal(\"Stop Experiment due to job failure (ignore_fail flag set to false)\")\n            else:\n                self.resource_manager.finish_job(jid, None, \"FAILED\")\n                try:\n                    self.proposer.failed(job)\n                except Exception as ex:\n                    self.proposer.set_status(ProposerStatus.FAILED)\n                    logger.fatal(\"Stop Experiment due to job failure (failed jobs unsupported by proposer)\")\n                logger.info(\"Job %d is finished (failed)\" % (jid))\n                if self.proposer.get_status() == ProposerStatus.RUNNING:\n                    self.start()\n        elif score == \"EARLY STOPPED\":\n            self.pending_jobs.pop(jid)\n            self.resource_manager.finish_job(jid, score, \"EARLY_STOPPED\")\n            logger.info(\"Job %d was early stopped\" % (jid))\n            if self.proposer.get_status() == ProposerStatus.RUNNING:\n                self.start()\n        else:\n            self.proposer.update(score, self.pending_jobs[jid])\n            self.pending_jobs.pop(jid)\n            self.resource_manager.finish_job(jid, score, \"FINISHED\")\n            logger.info(\"Job %d is finished with result %s\" % (jid, score))\n\n            if self.proposer.get_status() == ProposerStatus.RUNNING:\n                self.start()\n\n    def _suspend(self, sig, frame):\n        \"\"\"\n        Stop experiment by enter \"Ctrl-C\"\n        \"\"\"\n        logger.fatal(\"Experiment ended at user's request\")\n        for i in self.pending_jobs:\n            logger.warning(\"Job with ID %d is cancelled\" % i)         # Note: cancelled job won't be run again.\n        try:\n            self.proposer.save(os.path.join(\".\", \"exp%d.pkl\" % self.eid))\n        except NotImplementedError:\n            pass\n        self.resource_manager.suspend()\n        result = self.resource_manager.finish(status=\"STOPPED\")\n        self.connector.close()\n        if result is None:\n            logger.warning(\"No valid result so far\")\n        else:\n            logger.critical(\"Best job (%d) with score %f in experiment %d\" % (result[0], result[1], self.eid))\n        if self.request_stop_thr is not None:\n            self.request_stop_thr.join()\n        sys.exit(1)\n\n    def _check_status(self):\n        \"\"\"\n        Checks the database status of the experiment for external stopping requests\n\n        This method is run continuously in a separate \"clean-up\" thread in order to check for\n        external modifications to the experiment status in the database, in case a user\n        wants to stop an experiment remotely (e.g. from another process).\n        \"\"\"\n        if self.connector is None or self.eid is None:\n            logger.warning(\"Could not start thread for checking external experiment stopping requests.\")\n            return\n\n        while True:\n            try:\n                if self.connector.is_closed():\n                    logger.debug(\"Closing down clean-up thread.\")\n                    return\n\n                status = self.connector.maybe_get_experiment_status(self.eid)\n                if status == \"REQUEST_STOP\":\n                    return _thread.interrupt_main()\n\n                time.sleep(self.request_stop_time)\n            except Exception as ex:\n                logger.debug(\"Error in clean-up thread: {}\".format(ex))\n\n    def _force_refresh(self, sig, frame):\n        # currently useful for async resource manager timers\n        self.resource_manager.refresh()\n"
  },
  {
    "path": "src/aup/EE/Job.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.EE.Job module\n=================\n\nWrap Job information for :mod:`aup.EE.Resource` to execute.\n\nAPIs\n----\n\"\"\"\nimport logging\nimport os\nimport stat\nfrom time import sleep\n\nfrom ..utils import open_sftp_with_timeout\n\ntry:\n    FileNotFoundError\nexcept NameError:\n    FileNotFoundError = IOError\n\nlogger = logging.getLogger(__name__)\n\n\nclass Job:\n    local_warning = True\n\n    def __init__(self, script, config, path=\".\", retries=3):\n        \"\"\"\n        Job wrapper give to resource manager to execute\n\n        :param script: script file name\n        :type script: str\n        :param config: job configuration\n        :type config: aup.BasicConfig\n        :param path: working path\n        :type path: str\n        :param retries: max number of retries for one job in the case of job failure\n        :type retries: int\n        \"\"\"\n        logger.debug(\"Input: %s,%s\", script, path)\n        self.config = config\n        self.path = os.path.abspath(os.path.expanduser(path))\n        if script[0] not in ('.', '/'):\n            script = os.path.join(\".\", script)\n            if Job.local_warning:\n                logger.warning(\"Using default local path for script as %s\", script)\n                Job.local_warning = False  # only warning once\n        self.script = script\n        self.jid = 0\n        self.was_executed = False\n        self.retries = retries\n        self.curr_retries = 0\n        self.rid_blacklist = set()\n\n        # if true, it means this is the best job\n        self.save_model_flag = config.get('save_model', False)\n\n    def verify_local(self):\n        \"\"\"\n        Verify the job script is correctly set - for local machine running only\n\n        :return: whether all paths are set correctly\n        :rtype: bool\n        \"\"\"\n        job_path = os.path.join(self.path, \"jobs\")\n        script = os.path.join(self.path, self.script.split()[0])  # avoid additional arguments in the script\n        if not os.path.isdir(self.path):\n            msg = \"Working folder %s does not exist\" % self.path\n            logger.fatal(msg)\n            raise EnvironmentError(msg)\n\n        if not os.path.exists(job_path):  # job config file dir, also used in ResourceManagers.\n            logger.warning(\"Create missing directory %s\", job_path)\n            os.makedirs(job_path)\n        logger.debug(\"Create Job %s\", script)\n\n        if not os.path.isfile(script):\n            logger.fatal(\"Job script %s is not exist\", self.script)\n            raise EnvironmentError(\"Missing script\")\n        if not os.access(script, os.X_OK):\n            logger.fatal(\"Job script is not executable, try `chmod u+x %s`\"%self.script)\n            raise EnvironmentError(\"Wrong permission for %s\" % self.script)\n        return True\n\n    def verify_remote(self, remote, overwrite=False):  # pragma: no cover\n        \"\"\"\n        Verify the files and folder are correct on the remote machine\n\n        :param remote: paramiko.SSHClient\n        :param overwrite: whether to overwrite existing script file and folder\n        :return: whether the files are set correctly\n        :rtype: bool\n        \"\"\"\n\n        sftp = open_sftp_with_timeout(remote.client, 5)\n        local_script = self.script.split()[0]\n        local_job_path = os.path.join(os.path.dirname(local_script), 'jobs')\n        if not os.path.isdir(local_job_path):\n            logger.warning(\"Create missing local job config directory %s\", local_job_path)\n            os.makedirs(local_job_path)\n        remote_script = os.path.join(self.path, os.path.basename(self.script))\n        try:\n            sftp.stat(self.path)\n        except FileNotFoundError:\n            logger.warning(\"Create missing folder %s\", self.path)\n            sftp.mkdir(self.path)\n        try:\n            path = os.path.join(self.path, \"jobs\")\n            stats = sftp.stat(path)\n            if not (stats.st_mode & stat.S_IWRITE):\n                logger.warning(\"%s/jobs is not writable, changed\", path)\n                sftp.chmod(path, stat.S_IWRITE)\n        except FileNotFoundError:\n            logger.warning(\"create jobs %s\", os.path.join(self.path, \"jobs\"))\n            sftp.mkdir(os.path.join(self.path, \"jobs\"))\n\n        if overwrite:\n            logger.info(\"Overwrite script %s\", remote_script)\n            sftp.put(local_script, remote_script)\n            sftp.chmod(remote_script, stat.S_IRWXU)\n        try:\n            sftp.stat(remote_script)\n        except FileNotFoundError:\n            logger.warning(\"script not found, copy local file over\")\n            sftp.put(local_script, remote_script)\n            sftp.chmod(remote_script, stat.S_IRWXU)\n\n        stats = sftp.stat(remote_script)\n        if not (stats.st_mode & stat.S_IEXEC):\n            logger.warning(\"Assign correct permission\")\n            sftp.chmod(remote_script, stat.S_IRWXU)\n        sftp.close()\n        return True\n"
  },
  {
    "path": "src/aup/EE/Resource/AWSResourceManager.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.EE.Resource.AWSResourceManager\n==================================\n\nAPIs\n----\n\"\"\"\nimport logging\nimport time\n\nimport boto3\nimport paramiko as pm\nfrom botocore.exceptions import ClientError\n\nfrom .SSHResourceManager import SSHResourceManager, Remote, parse_hostname\n\nlogger = logging.getLogger(__name__)\nlogging.getLogger(\"botocore\").setLevel(logger.getEffectiveLevel())\nlogging.getLogger(\"boto3\").setLevel(logger.getEffectiveLevel())\nlogging.getLogger(\"urllib3\").setLevel(logger.getEffectiveLevel())\n\nretry = 10  # number of retries\nDEFAULT_SHUTDOWN = False  # shutdown after experiment\nprescript = \"\" # commands to be executed before script\npostscript = \"\" # commands to be executed after script\n\n\ndef _is_instance_id(hostname):\n    return 'i-' in hostname\n\n\nclass AWSRemote(Remote):  # pragma: no cover\n    ec2_resource = boto3.resource('ec2')\n    ec2_client = boto3.client('ec2')\n\n    @classmethod\n    def change_status(cls, hostnames, target='start'):\n        \"\"\"\n        Changes status of the AWS machine depending on the target status and permissions.\n        \"\"\"\n        if target == 'start':\n            action = cls.ec2_client.start_instances\n        else:\n            action = cls.ec2_client.stop_instances\n        try:\n            action(InstanceIds=hostnames, DryRun=True)\n        except ClientError as e:\n            if 'DryRunOperation' in str(e):\n                logger.debug(\"Permission to start/stop EC2 instance granted\")\n            else:\n                logger.fatal(\"You don't have permissions\")\n                raise e\n        try:\n            response = action(InstanceIds=hostnames, DryRun=False)\n            logger.debug(response)\n        except ClientError as e:\n            logger.debug(e)\n            if e.response['Error']['Code'] in ('IncorrectInstanceState'):\n                retry_counter = 0\n                while retry_counter < retry:\n                    try:\n                        response = action(InstanceIds=hostnames, DryRun=False)\n                        break\n                    except ClientError:\n                        retry_counter += 1\n                        logger.warning(\"Instance not yet ready for starting, retry in 30 sec (%d/%d)\", retry_counter, \n                                       retry)\n                        time.sleep(30)\n                if retry_counter == retry:\n                    logger.fatal('cannot start instance, there might be some issues')\n                    raise EnvironmentError(\"Failed to start AWS instance with in %d retries\", retry)\n\n    @classmethod\n    def verify(cls, hostname):\n        \"\"\"\n        Verifies if instance can be loaded, returns the instance object if true.\n        \"\"\"\n        instance = cls.ec2_resource.Instance(hostname)\n        try:\n            instance.load()\n        except ClientError as e:\n            logger.fatal(\"\"\"There is an error running on instance %s\n                         There can be many reasons, such as wrong instance name, insufficient permissions or\n                         incorrect AWS confirmations\"\"\", hostname)\n            raise e\n        return instance\n\n    def __init__(self, instance):\n        \"\"\"\n\n        :param instance: string formatted according to :code:`.SSHResourceManager.parse_hostname`\n        :type instance: str\n        \"\"\"\n        super(AWSRemote, self).__init__(instance)\n\n        if not _is_instance_id(self.hostname):  # use SSHResourceManager\n            logger.debug(\"AWS connection profile %s %s\", self.username, self.hostname)\n            return\n\n        instance = self.verify(self.hostname)\n        if instance.state['Name'] == 'running':\n            logger.debug('Instance is already running')\n            self.hostname = instance.public_dns_name\n            logger.debug(\"New Hostname= %s\", str(self.hostname))\n        else:\n            logger.debug(\"Instance was not running, Starting instance\")\n            self.change_status([self.hostname])\n            instance = self.ec2_resource.Instance(self.hostname)\n            try:\n                instance.wait_until_running()\n            except Exception as e:\n                logger.fatal(\"Catch unexpected problem with AWS instance\")\n                raise e\n            self.hostname = instance.public_dns_name\n            while instance.state['Name'] != 'running':\n                logger.warning(\"waiting instance %s to start, wait 10 sec\", instance.state['Name'])\n                time.sleep(10)\n                instance.load()  # additional waiting time for SSH service ready\n            logger.debug('...instance is %s', instance.state['Name'])\n        logger.debug(\"AWS connection profile %s %s\", self.username, self.hostname)\n\n    def exec_command(self, command, *args, **kwargs):\n        return self.client.exec_command(command, *args, **kwargs)\n\n    def __enter__(self):\n        retry_counter = 0\n        while retry_counter < retry:\n            try:\n                self.client.connect(hostname=self.hostname, username=self.username, pkey=self.key, timeout=180,\n                                    auth_timeout=180)\n                logger.debug(\"Connected to AWS instance\")\n                break\n            except pm.ssh_exception.NoValidConnectionsError:\n                retry_counter += 1\n                logger.warning(\"Instance not yet ready for ssh, retry in 30 sec (%d/%d)\", retry_counter, retry)\n                time.sleep(30)\n        if retry_counter == retry:\n            logger.fatal('cannot connect to instance, there might be some issues')\n            raise EnvironmentError(\"Failed to start AWS instance with in %d retries\" % retry)\n        return self\n\n\nclass AWSResourceManager(SSHResourceManager):  # pragma: no cover\n    def __init__(self, *args, **kwargs):\n        super(AWSResourceManager, self).__init__(*args, key=\"aws_mapping\", **kwargs)\n        self.remote_class = AWSRemote\n        self.shutdown = kwargs.get(\"shutdown\", DEFAULT_SHUTDOWN)\n        global retry\n        retry = kwargs.get(\"connection_retry\", retry)\n        self.used_resource = set()\n\n    def __del__(self):\n        if not self.shutdown:\n            logger.debug(\"AWS EC2 keeps running\")\n            return\n        to_stop = []\n        try:\n            for rid in self.used_resource:\n                _, hostname, _, _ = parse_hostname(self.mapping[rid])\n                if not _is_instance_id(hostname):\n                    logger.info(\"Not AWS instance ID, won't stop %s\", hostname)\n                    continue\n                logger.debug(\"Stopping instance with name %s\", hostname)\n                instance = AWSRemote.verify(hostname)\n                if instance.state['Name'] == 'stopped':\n                    logger.warning('instance is already stopped')\n                else:\n                    to_stop.append(hostname)\n            AWSRemote.change_status(to_stop, target='stop')\n            logger.info(\"Following instances '%s' are stopped\", ','.join(to_stop))\n        except Exception as e:\n            logger.fatal(\"Encounter error %s during shutdown, instances may not be stopped correctly\", e)\n\n    def run(self, job, rid, *args, **kwargs):\n        self.used_resource.add(rid)\n        super(AWSResourceManager, self).run(job, rid, *args, **kwargs)\n\n"
  },
  {
    "path": "src/aup/EE/Resource/AbstractResourceManager.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.EE.Resource.AbstractResourceManager\n=======================================\n\nAbstract Interface of Resource Managers.\n\nUsing :func:`get_resource_manager` to create the corresponding object with the following resource type.\n\nFor different resource supports, see :doc:`environment`.\n\nAPIs\n----\n\"\"\"\nimport abc\nimport copy\nimport importlib\nimport logging\nimport random\nimport threading\nimport time\nimport numpy as np\nimport math\nimport warnings\n\nfrom ...utils import DEFAULT_AUPTIMIZER_PATH\nfrom .utils.curve_fitting import CurveModel\n\nABC = abc.ABCMeta('ABC', (object,), {'__slots__': ()})\nEARLY_STOPPING_SLEEP = 1\nCURVE_FITTING_MIN_ITS = 4\nlogger = logging.getLogger(__name__)\n\n_SupportResource = {\"gpu\": \"GPUResourceManager\",\n                    \"cpu\": \"CPUResourceManager\",\n                    \"node\": \"SSHResourceManager\",\n                    \"aws\": \"AWSResourceManager\",\n                    \"passive\": \"PassiveResourceManager\"}\n\n\ndef get_resource_manager(resource, connector, n_parallel, auppath=DEFAULT_AUPTIMIZER_PATH, **kwargs):\n    \"\"\"\n    Get resource manager for a specific resource type\n\n    :param resource: gpu or cpu type resource\n    :type resource: str\n    :param connector: database connector\n    :type connector: AbstractConnector\n    :param n_parallel: how many parallel jobs to be run\n    :type n_parallel: int\n    :param auppath: aup environment folder\n    :type auppath: str\n    :return: resource manager\n    :rtype: AbstractResourceManager\n    \"\"\"\n    try:\n        resource = _SupportResource[resource]\n    except KeyError:\n        raise KeyError(\"%s not implemented\" % resource)\n\n    mod = importlib.import_module(\".%s\" % resource, \"aup.EE.Resource\")\n    return mod.__dict__[resource](connector, n_parallel, auppath=auppath, **kwargs)\n\n\nclass AbstractResourceManager(ABC):\n    \"\"\"\n    Create Resource to run jobs.\n\n    :param connector: Connector to database\n    :type connector: AbstractConnector\n    \"\"\"\n\n    def __init__(self, connector, n_parallel, *args, **kwargs):\n        self.connector = connector\n        self.jobs = dict()\n\n        warnings.filterwarnings(\"ignore\")\n\n        self.curr_global_iteration = 0\n        self.maximize = kwargs.get(\"maximize\", True)\n        self.stopped_jobs = None\n        self.stopped_jobs_lock = threading.Lock()\n        self.n_parallel = n_parallel\n        self.eid = kwargs.get(\"eid\", None)\n        self.result_labels = kwargs.get('multi_res_labels', None)\n\n        self.track_intermediate_results = kwargs.get(\"track_intermediate_results\", False)\n        self.interm_job_res = None\n        if self.track_intermediate_results:\n            self.interm_job_res = dict()\n\n        # variables for early stop impl\n        if \"early_stop\" in kwargs:\n            self.policy = kwargs[\"early_stop\"][\"aup_policy\"]\n            self.policy_steps = kwargs[\"early_stop\"][\"aup_policy_steps\"]\n            self.warmup = kwargs[\"early_stop\"].get(\"warmup\", 0)\n            self.bandit_factor = kwargs[\"early_stop\"].get(\"bandit_factor\", 0.5)\n            self.truncation_percentage = kwargs[\"early_stop\"].get(\"truncation_percentage\", 0.3)\n            self.curve_fitting_threshold = kwargs[\"early_stop\"].get(\"curve_fitting_threshold\", 0.95)\n            self.curve_fitting_max_iters = kwargs[\"early_stop\"].get(\"curve_fitting_max_iters\", None)\n            self.curve_fitting_timeout = kwargs[\"early_stop\"].get(\"curve_fitting_timeout\", 60)\n            self.job_checked = dict()\n            self.early_stop_daemon_finished = False\n            self.stopped_jobs = set()\n            if self.policy == \"curve_fitting\" and self.curve_fitting_max_iters is None:\n                raise ValueError(\"Curve fitting policy requires argument \\\"curve_fitting_max_iters\\\" representing \" +\n                                 \"the total number of intermediate results that the script will provide.\")\n            self.early_stop_daemon = threading.Thread(target=AbstractResourceManager.early_stop_daemon_fun,\n                                        args=(self,), daemon=True)\n            self.early_stop_daemon.start()\n        else:\n            self.warmup = None\n            self.policy = None\n            self.policy_steps = 0\n            self.job_checked = dict()\n            self.early_stop_daemon_finished = True\n            self.early_stop_daemon = None\n            self.stopped_jobs = None\n\n    def finish(self, status=\"FINISHED\"):\n        \"\"\"\n        Finish up the resource allocation.\n        :param status: status of the experiment\n        :type status: string\n\n        :return: Max/Min result in experiment (job id, score)\n        :rtype: None | [int, float]\n        \"\"\"\n        self.connector.end_experiment(self.eid, status)\n        if self.early_stop_daemon != None:\n            self.early_stop_daemon_finished = True\n            self.early_stop_daemon.join()\n        return self.connector.get_best_result(self.eid, maximize=self.maximize)\n\n    def finish_job(self, jid, score, status=None):\n        \"\"\"\n        Finish one job\n\n        :param jid: job ID\n        :type jid: int\n        :param score: job for the experiment\n        :type score: float | None\n        \"\"\"\n        if jid in self.jobs:\n            rid = self.jobs.pop(jid)\n            self.connector.job_finished(rid, jid, score, status)\n        else:\n            logger.warning(\"Job %d finished after job suspension, result may lose\" % jid)\n\n    def get_available(self, username, rtype, rid_blacklist=None):\n        \"\"\"\n        method to get the available resource to run a job\n\n        :param username: username for job running\n        :type username: str\n        :param rtype: resource type\n        :type rtype: str\n        :param rid_blacklist: resource ids to ignore\n        :type rid_blacklist: [int]\n        :return: a random selection of all available resource IDs\n        :rtype: int\n        \"\"\"\n        rids = self.connector.get_available_resource(username, rtype, rid_blacklist)\n        logger.debug(\"Request resource (%s) for user %s and get %s\" % (rtype, username, rids.__str__()))\n        return random.choice(rids) if rids else None\n\n    def run_job(self, job, rid, exp_config, call_back_func, **kwargs):\n        \"\"\"\n        Job running interface, this is called by :mod:`aup.EE.Experiment`.\n\n        It is a wrapper for :func:`run`.\n\n        :param job: Job to run\n        :type job: Job\n        :param rid: resource ID\n        :type rid: int\n        :param exp_config: experiment configuration\n        :type exp_config: BasicConfig\n        :param call_back_func: call back function to update result\n        :type call_back_func: function object\n        \"\"\"\n        self.connector.take_available_resource(rid)\n        self.jobs[job.jid] = rid\n\n        if self.interm_job_res != None:\n            self.interm_job_res[job.jid] = list()\n            self.job_checked[job.jid] = list()\n\n        try:\n            self.run(job, rid, exp_config, call_back_func, **kwargs)\n        except EnvironmentError as e:\n            self.connector.free_used_resource(rid)\n            logger.fatal(\"Experiment interrupted.\")\n            raise(e)\n\n    def append_interm_res(self, jid, interm_res):\n        if self.interm_job_res == None:\n            return None\n\n        if jid in self.interm_job_res:\n            self.interm_job_res[jid].append(interm_res)\n            if self.connector:\n                return self.connector.save_intermediate_result(jid, interm_res)\n            else:\n                logger.warning(\"Could not save intermediate result: no connector attached to resource manager\")\n            return None\n        else:\n            logger.fatal(\"Job {} should have already started!\".format(jid))\n            return None\n\n    def append_multiple_results(self, jid, irid, eid, scores):\n        if self.result_labels is None or len(scores) == 0:\n            return\n\n        assert len(self.result_labels) == len(scores), \\\n                \"labels size mismatch with the provided scores\"\n\n        if self.connector is not None:\n            self.connector.save_multiple_results(jid, irid, eid, self.result_labels, scores)\n\n    def set_last_multiple_results(self, eid, jid):\n        if self.result_labels is None:\n            return\n\n        if self.connector is not None:\n            self.connector.set_last_multiple_results(eid, jid, len(self.result_labels))\n\n    def stop_job(self, jid):\n        \"\"\"\n        Stop a job for early stopping strategies\n\n        :param jid: job ID\n        :type jid: int\n        \"\"\"\n        if jid not in self.jobs:\n            logger.debug(\"Tried to stop job {} not in currently running jobs.\".format(jid))\n        with self.stopped_jobs_lock:\n            self.stopped_jobs.add(jid)\n\n    def is_job_stopped(self, jid):\n        \"\"\"\n        Returns whether or not a specific job stop is pending\n\n        :param jid: job ID\n        :type jid: int\n        :return: whether or not the given job ID is in the list of pending job stops\n        :rtype: bool\n        \"\"\"\n        with self.stopped_jobs_lock:\n            return self.stopped_jobs is not None and jid in self.stopped_jobs\n\n    @abc.abstractmethod\n    def run(self, job, rid, exp_config, call_back_func, **kwargs):\n        \"\"\"\n        Job running implemented for the specific resource manager. \n        It is called by :func:`run_job`.\n\n        :param job: a job object\n        :type job: Job\n        :param rid: resource id returned from :func:`get_available`.\n        :type rid: int\n        :param exp_config: experiment configuration\n        :type exp_config: BasicConfig\n        :param call_back_func: function to trigger after job finished\n        :type call_back_func: function object\n        \"\"\"\n        raise NotImplementedError\n\n    def suspend(self):\n        \"\"\"\n        Suspend job upon request\n        \"\"\"\n        for jid in list(self.jobs.keys()):\n            self.finish_job(jid, None)\n            logger.warning(\"Job %d is canceled\" % jid)\n\n    def run_curve_fitting(self, interm_res, c_jid, step, comp_fn, curve_fitting_threshold, best_val):\n        curvemodel = CurveModel(self.curve_fitting_max_iters)\n        predict_y = curvemodel.predict(interm_res, timeout=self.curve_fitting_timeout)\n        if predict_y is None:\n            return\n        if not comp_fn(predict_y, curve_fitting_threshold * best_val):\n            if self.is_job_stopped(c_jid):\n                return\n            self.stop_job(c_jid)\n            logger.info(\"Stopping job {} early (step {}): predicted end value {:.4f} is lower than the best value so far {:.4f} within the given {:.2f}% threshold (={:.4f})\".format(\n                c_jid, step, predict_y, best_val, 100. * curve_fitting_threshold, curve_fitting_threshold * best_val))\n\n    def early_stop_daemon_fun(self):\n        while not self.early_stop_daemon_finished:\n            # do not consider the early stopped jobs\n            with self.stopped_jobs_lock:\n                current_jobs = set(self.jobs) - self.stopped_jobs\n\n            finished_interm_job_res = self.connector.get_intermediate_results_experiment(self.eid, \"FINISHED\")\n            current_interm_job_res = self.connector.get_intermediate_results_jobs(list(current_jobs))\n            interm_job_res = {**current_interm_job_res, **finished_interm_job_res}\n\n            best_fn = np.max if self.maximize else np.min\n            comp_fn = (lambda x, target: x >= target) if self.maximize else \\\n                      (lambda x, target: x <= target)\n\n            curve_fitting_threads = []\n\n            for c_jid, c_interm_res in current_interm_job_res.items():\n                if len(c_interm_res) < self.warmup:\n                    continue\n\n                if c_jid not in self.job_checked:\n                    self.job_checked[c_jid] = []\n\n                k = len(c_interm_res) // self.policy_steps\n                if k < 1:\n                    time.sleep(EARLY_STOPPING_SLEEP)\n                    continue\n\n                step = k * self.policy_steps\n                if step in self.job_checked[c_jid]: # job already compared up until this step, waiting for next k multiple\n                    time.sleep(EARLY_STOPPING_SLEEP)\n                    continue\n\n                comp_interm_job_res = {jid: vals for jid, vals in interm_job_res.items() if len(vals) >= step and jid != c_jid}\n                if len(comp_interm_job_res) < 1: # too few jobs \n                    time.sleep(EARLY_STOPPING_SLEEP)\n                    continue\n\n                if self.policy == \"median\":\n                    avgs = [np.average(vals[:step]) for vals in comp_interm_job_res.values()]\n                    median = np.median(avgs)\n                    best_val = np.average(c_interm_res[:step])\n                    if not comp_fn(best_val, median):\n                        self.stop_job(c_jid)\n                        logger.info(\"Stopping job {} early (step {}): best value so far {:.4f} worse than median of averages {:.4f} for {} other jobs\".format(\n                            c_jid, step, best_val, median, len(comp_interm_job_res)))\n                elif self.policy == \"bandit\":\n                    bandit_best_val = best_fn([best_fn(vals[:step]) for vals in comp_interm_job_res.values()])\n                    best_val = best_fn(c_interm_res[:step])\n                    bandit_factor = self.bandit_factor if ((self.maximize and np.sign(bandit_best_val) == 1) or (not self.maximize and np.sign(bandit_best_val) == -1)) else \\\n                                    2 - self.bandit_factor\n                    if not comp_fn(best_val, bandit_factor * bandit_best_val):\n                        self.stop_job(c_jid)\n                        logger.info(\"Stopping job {} early (step {}): best value so far {:.4f} worse than a factor {:.4f} of best overall value {:.4f} (={:.4f}) for {} other jobs\".format(\n                            c_jid, step, best_val, bandit_factor, bandit_best_val, bandit_factor * bandit_best_val, len(comp_interm_job_res)))\n                elif self.policy == \"truncation\":\n                    best_vals = sorted([(jid, best_fn(vals[:step])) for jid, vals in (list(comp_interm_job_res.items()) + [(c_jid, c_interm_res)])], \n                                        key=lambda t: t[1], reverse=not self.maximize)\n                    best_val_idx = next((idx for idx, (jid, val) in enumerate(best_vals) if jid == c_jid)) + 1\n                    perc = float(best_val_idx) / len(best_vals)\n                    if perc <= self.truncation_percentage:\n                        self.stop_job(c_jid)\n                        logger.info(\"Stopping job {} early (step {}): best value so far {:.4f} is in the bottom {:.2f}% of {} jobs, which is lower than the {:.2f}% cutoff\".format(\n                            c_jid, step, best_vals[best_val_idx-1][1], 100. * best_val_idx / len(best_vals), len(best_vals), 100. * self.truncation_percentage))\n                elif self.policy == \"curve_fitting\":\n                    if len(finished_interm_job_res) < 1 or step <= CURVE_FITTING_MIN_ITS:\n                        continue\n                    interm_res = copy.deepcopy(c_interm_res)\n                    best_val = best_fn([best_fn(vals) for vals in finished_interm_job_res.values()])\n                    if not self.maximize:\n                        interm_res *= -1\n                        best_val *= -1\n                    curve_fitting_threshold = self.curve_fitting_threshold if np.sign(best_val) == 1 else \\\n                                              2 - self.curve_fitting_threshold\n                    cf_thread = threading.Thread(target=self.run_curve_fitting, \n                        args=(interm_res[:step], c_jid, step, (lambda x, target: x >= target), curve_fitting_threshold, best_val))\n                    cf_thread.start()\n                    curve_fitting_threads += [cf_thread]\n\n                self.job_checked[c_jid] += [step]\n            \n            for thread in curve_fitting_threads:\n                thread.join()\n\n            time.sleep(EARLY_STOPPING_SLEEP)\n\n    def refresh(self):\n        '''\n        Method for refreshing timers/variables etc\n        '''\n        pass\n\n    def log_error_message(self, msg):\n        self.connector.log_error_message(self.eid, msg)\n"
  },
  {
    "path": "src/aup/EE/Resource/CPUResourceManager.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n  \naup.EE.Resource.CPUResourceManager\n==================================\n\nResource Manager for CPUs on a single machine.\n\nHowever, user can specify arbitrary number for parallel computing, no real control of resources (yet).\n\nAPIs\n----\n\"\"\"\nimport logging\nimport os\nimport subprocess\nimport threading\nimport sys\nimport json\nfrom numpy import random\n\nfrom .AbstractResourceManager import AbstractResourceManager\nfrom ...utils import parse_result, parse_one_line\nfrom .AbstractResourceManager import _SupportResource\nfrom ...aup import BasicConfig\nfrom ..Job import Job\nfrom .utils.ResourceThreadPoolExecutor import ResourceThreadPoolExecutor\n\nlogger = logging.getLogger(__name__)\n\n\nclass CPUResourceManager(AbstractResourceManager):\n    def __init__(self, connector, n_parallel, *args, **kwargs):\n        super(CPUResourceManager, self).__init__(connector, n_parallel, *args, **kwargs)\n        self.executor = ResourceThreadPoolExecutor(max_workers=n_parallel)\n        self.n_parallel = n_parallel\n        self.lock = threading.Lock()\n        self.running = []\n        self.save_model = kwargs.get('save_model', False)\n        self.script = kwargs.get('script', None)\n        self.workingdir = kwargs.get('workingdir', None)\n        self.one_shot = kwargs.get(\"one_shot\", False)\n        self.runtime_args = kwargs.get('runtime_args', {})\n\n    def finish(self, maximize=True, status=\"FINISHED\"):\n        self.executor.shutdown(wait=True)\n        best_result = super(CPUResourceManager, self).finish(status)\n\n        self.connector.free_all_resources()\n\n        if self.save_model is True and best_result is not None and status == 'FINISHED':\n            logger.info(\"Experiment finished, starting best job\")\n\n            # re-run the best job, but also save the model on the disk\n            self.executor = ResourceThreadPoolExecutor(max_workers=1)\n            best_job_config_str = self.connector.get_best_result_config(self.eid, self.maximize)\n            best_job_config = BasicConfig()\n            best_job_config.update(json.loads(best_job_config_str[0]))\n            best_job_config['save_model'] = True\n            best_job_config['folder_name'] = 'models_{}'.format(self.eid)\n\n            # todo improve\n            _rtype = None\n            for res, cname in _SupportResource.items():\n                if cname == self.__class__.__name__:\n                    _rtype = res\n                    break\n\n            # all should be free, but just in case\n            rids = self.connector.get_available_resource(None, _rtype)\n            free_rid = random.choice(rids) if rids else None\n            best_job = Job(self.script, best_job_config, self.workingdir)\n            # special job id for best job\n            best_job.jid = best_result[0]\n\n            def best_job_callback(score, jid):\n                if score != 'ERROR':\n                    logger.info(\"Best job finished, please check aup_models/models_{} folder\".format(self.eid))\n\n            self.run(best_job, free_rid, None, best_job_callback, **self.runtime_args)\n\n            self.executor.shutdown(wait=True)\n\n        return best_result\n\n    def run(self, job, rid, exp_config, call_back_func, **kwargs):\n        if \"env\" not in kwargs:\n            # make sure not over step on GPUs\n            kwargs[\"env\"] = os.environ\n            # todo -1 or empty?\n            kwargs[\"env\"][\"CUDA_VISIBLE_DEVICES\"] = \"\"\n        else:\n            kwargs[\"env\"] = kwargs[\"env\"]\n\n        def job_run():\n            logger.debug(\"Job %d started\" % job.jid)\n            save_model_flag = job.config.get('save_model', False)\n            config_path = None\n            log_dump_path = None\n            result = None\n            res = \"ERROR\"\n            proc = None\n            script = None\n            output = None\n\n            try:\n                if save_model_flag is not True or self.one_shot:\n                    config_path = os.path.join(job.path, \"jobs\", \"%d.json\" % job.jid)\n                    log_dump_path = os.path.join(job.path, \"jobs\", \"%d.%d.out\" % (job.jid, job.curr_retries))\n                else:\n                    config_path = os.path.join(job.path, \"jobs\", 'best_job_%d.json' % self.eid)\n                    log_dump_path = os.path.join(job.path, \"jobs\", \"best_job_%d.out\" % self.eid)\n\n                result = \"%s\\n%s\" % (job.script, config_path)\n\n                job.verify_local()\n                job.config.save(config_path)\n\n                script = job.script.split(\" \") + [config_path]\n                proc = subprocess.Popen(script, cwd=job.path,\n                                        stdout=subprocess.PIPE, stderr=subprocess.STDOUT,\n                                        **kwargs)\n                output = \"\"\n                with open(log_dump_path, 'w') as fp:\n                    while True:\n                        if self.is_job_stopped(job.jid) == True:\n                            proc.kill()\n                            raise StopIteration()\n\n                        line = proc.stdout.readline()\n                        if not line:\n                            break\n\n                        line_str = line.decode(sys.stdin.encoding if sys.stdin.encoding is not None else 'UTF-8')\n                        output += line_str\n\n                        interm_res = parse_one_line(line_str)\n                        if interm_res != None:\n                            res = interm_res[0]\n                            irid = self.append_interm_res(job.jid, interm_res[0])\n                            self.append_multiple_results(job.jid, irid, self.eid, interm_res[1:])\n\n                        # continuously write to jid.out file\n                        fp.write(line_str)\n\n                # set the flag in multiple_result table\n                self.set_last_multiple_results(self.eid, job.jid)\n\n                if res == \"ERROR\":\n                    raise ValueError\n\n            except StopIteration:\n                logger.debug(\"Job stopped\")\n                res = \"EARLY STOPPED\"\n            except ValueError:\n                logger.fatal(\"Failed to parse result, check %s\", log_dump_path)\n            except subprocess.CalledProcessError as e:\n                logger.fatal(\"Failed to run job:\\n%s\", result)\n                output = e.output\n            except (Exception, EnvironmentError) as e:  # pragma: no cover\n                logger.fatal(\"Failed to run job:\\n%s\", result)\n                logger.fatal(\"Error message might not be right: %s\", e)\n                output = str(e)\n            finally:\n                if res == \"ERROR\" and output is not None:\n                    self.log_error_message(output)\n                # should be already terminated, but just in case\n                if proc is not None:\n                    proc.kill()\n\n                return res, job.jid\n\n        def call_back(future3):\n            \"\"\"\n            Use to collect result. Don't change.\n            \"\"\"\n            logger.debug(\"Callback for job %d\" % job.jid)\n            try:\n                self.lock.acquire(True)\n                if future3.exception():\n                    logger.fatal(\"Error happened with job script with following error message (not reliable)\")\n                    logger.fatal(type(future3.exception()))\n                    logger.fatal(future3.exception())\n                    raise ChildProcessError\n                result = future3.result()\n                logger.debug(\"Callback result: %s\" % result.__str__())\n                call_back_func(*result)\n            except ChildProcessError:\n                logger.fatal(\"Use ctrl+c to stop experiment\")\n            finally:\n                self.running.pop(self.running.index(future3))\n                self.lock.release()\n\n        future = self.executor.submit(job_run)\n        if future is not None:\n            self.running.append(future)\n            future.add_done_callback(call_back) \n"
  },
  {
    "path": "src/aup/EE/Resource/GPUResourceManager.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.EE.Resource.GPUResourceManager\n==================================\n\nResource manager for Single GPU machine.\n\nIt supports:\n\n1. Multiple Cards\n2. Multiple jobs running on a shared card (no control over GPU resource limit)\n\nAPIs\n----\n\"\"\"\nimport json\nimport logging\nimport os\n\nfrom .CPUResourceManager import CPUResourceManager\nfrom ...utils import check_missing_key, load_default_env, DEFAULT_AUPTIMIZER_PATH\n\nlogger = logging.getLogger(__name__)\n\n\ndef _load_gpu_mapping(auppath=DEFAULT_AUPTIMIZER_PATH):\n    \"\"\"\n    loads GPU mapping based on environment and config\n    \"\"\"\n    config = load_default_env(auppath=auppath)\n    check_missing_key(config, \"gpu_mapping\", \"Missing gpu_mapping parameter in aup config file\", log=logger)\n    # need to reverse the type for GPU mapping\n    d = json.loads(config[\"gpu_mapping\"])\n    return {int(k): str(d[k]) for k in d}\n\n\nclass GPUResourceManager(CPUResourceManager):\n    def __init__(self, connector, n_parallel, auppath=DEFAULT_AUPTIMIZER_PATH, *args, **kwargs):\n        super(GPUResourceManager, self).__init__(connector, n_parallel, *args, **kwargs)\n        self.mapping = _load_gpu_mapping(auppath=auppath)\n\n    def run(self, job, rid, exp_config, call_back_func, **kwargs):\n        logger.debug(\"Job %d started on GPU %s\", job.jid, self.mapping[rid])\n        env = os.environ\n        env[\"CUDA_VISIBLE_DEVICES\"] = self.mapping[rid]\n        super(GPUResourceManager, self).run(job, rid, exp_config, call_back_func, env=env)\n\n"
  },
  {
    "path": "src/aup/EE/Resource/PassiveResourceManager.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.EE.Resource.PassiveResourceManger\n=====================================\n\nLeave the user to run script interactively.\n\n+ It supports only one job running at a time.\n+ It prints the command on the screen and asks user to return the value\n\nAPIs\n----\n\"\"\"\nimport logging\nimport os\n\nfrom six.moves import input\n\nfrom .AbstractResourceManager import AbstractResourceManager\n\nlogger = logging.getLogger(__name__)\n\n\nclass PassiveResourceManager(AbstractResourceManager):\n    def __init__(self, connector, *args, **kwargs):\n        super(PassiveResourceManager, self).__init__(connector, *args, **kwargs)\n        self.running = False\n\n    def get_available(self, username, rtype):\n        if not self.running:\n            rid = super(PassiveResourceManager, self).get_available(username, rtype)\n            if rid:\n                return rid\n            else:\n                logger.fatal(\"Resource passive is exhausted.  Free it from the database or create more for testing.\")\n                return None\n        else:\n            return None\n\n    def run(self, job, rid, exp_config, call_back_func, **kwargs):\n        job.verify_local()\n        self.running = True\n        config_path = os.path.join(job.path, \"jobs\", \"%d.json\" % job.jid)\n        job.config.save(config_path)\n        value = input(\"\"\"# Job running path is %s\n        # Config is at %s\n        Job command is:\n        %s\n        Please run the job and manually type in results:\\n\"\"\" % (job.path, config_path, job.script))\n        value = float(value)\n        self.running = False\n        call_back_func(value, job.jid)\n"
  },
  {
    "path": "src/aup/EE/Resource/SSHResourceManager.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.EE.Resource.SSHResourceManager\n==================================\n\nAPIs\n----\n\"\"\"\nimport json\nimport logging\nimport os\nimport sys\nimport time\nimport threading\n\nimport paramiko as pm\n\nfrom .CPUResourceManager import CPUResourceManager\nfrom ...utils import check_missing_key, load_default_env, parse_result, DEFAULT_AUPTIMIZER_PATH, block_until_ready\nfrom ...utils import open_sftp_with_timeout, parse_one_line\nfrom ..Job import Job\n\nlogger = logging.getLogger(__name__)\n# logging.getLogger(\"paramiko\").setLevel(logger.getEffectiveLevel())\nlogging.getLogger(\"paramiko\").setLevel(logging.CRITICAL)\n\n\ndef parse_hostname(host):\n    \"\"\"\n    Parse the host name, in the following formats:\n\n    + `username@ip` or\n    + `username@ip:port` or\n    + `username@ip ssh_key` or\n    + `username@ip:port ssh_key`\n\n    :param host: host name string\n    :type host: str\n    :return: username, hostname, port=22, key (parsed from ~/.ssh/id_rsa)\n    \"\"\"\n    if \"@\" not in host:\n        logger.fatal(\"Username@IP is minimal requirement\")\n        raise ValueError(\"host name %s is not correct\" % host)\n    try:\n        username, hostname = host.split(\"@\")\n        if \" \" in hostname:\n            hostname, key = hostname.split(\" \")\n            key = pm.RSAKey.from_private_key_file(key)\n        else:\n            key = None  # use default\n        if \":\" in hostname:\n            hostname, port = hostname.split(\":\")\n            port = int(port)\n        else:\n            hostname = hostname\n            port = 22\n    except Exception as e:\n        logger.fatal(\"Catch other error when parsing the remote resource configuration.  Check documentation please.\")\n        raise e\n    return username, hostname, port, key\n\n\nclass Remote(object):  # pragma: no cover\n    def __init__(self, host):\n        \"\"\"\n        parse host name string into full host spec:\n        `username@ip` or `username@ip:port` or `username@ip ssh_key` or `username@ip:port ssh_key`\n        :param host: host name string\n        \"\"\"\n        self.username, self.hostname, self.port, self.key = parse_hostname(host)\n\n        client = pm.SSHClient()\n        client.load_system_host_keys()\n        client.set_missing_host_key_policy(pm.AutoAddPolicy())\n        self.client = client\n\n    def exec_command(self, command, command_async=None, *args, **kwargs):\n        return self.client.exec_command(command, *args, **kwargs)\n\n    def __enter__(self):\n        self.client.connect(self.hostname, self.port, self.username, pkey=self.key,\n                            timeout=5, auth_timeout=5, banner_timeout=5)\n        return self\n\n    def __exit__(self, exc_type, exc_val, exc_tb):\n        self.client.close()\n\n\nclass SSHResourceManager(CPUResourceManager):  # pragma: no cover\n    def __init__(self, connector, n_parallel, key=\"node_mapping\", auppath=DEFAULT_AUPTIMIZER_PATH,\n                async_reconnect=30, async_timeout=None,\n                async_run=False, reconn_wait_time=30, max_retries=3, **kwargs):\n        \"\"\"\n        :param connector: SQL connector\n        :param n_parallel: number of parallel jobs\n        :param key: where to find the node assignment in aup env.ini\n        :param auppath: aup environment path\n        :param async_run: whether the ssh job should be run asynchronously\n        :param async_reconnect: number of seconds to reconnect and check job status of async job\n        :param async_timeout: maximum number of seconds to try reconnection to the async job, otherwise failure\n        :param reconn_wait_time: for non-async jobs, maximum number of seconds to try reconnection to the job, otherwise failure\n        :param max_retries: for both async and non-async jobs, maximum number of retries for each job.\n        :param kwargs: experiment.json -> resource_args will be loaded here.\n        \"\"\"\n        super(SSHResourceManager, self).__init__(connector, n_parallel, **kwargs)\n        self.mapping = self.load_node_mapping(key=key, auppath=auppath)\n        self.verified = set()\n        self.remote_class = Remote\n        self._wait_time = reconn_wait_time\n        self._n_tries = max_retries\n        self._async_run = async_run\n        self._async_reconnect = async_reconnect\n        self._async_timeout = async_timeout\n        # refresh rate of 1 second for async\n        self._get_interm_res = 0.1\n        self.refresh_lock = threading.Lock()\n        self.s_passed_recon = 0\n        self.s_passed_interm = 0\n\n    @staticmethod\n    def load_node_mapping(key=\"node_mapping\", auppath=DEFAULT_AUPTIMIZER_PATH):\n        \"\"\"\n        Loads ssh configurations from file.\n        \"\"\"\n        config = load_default_env(auppath=auppath)\n        check_missing_key(config, key, \"Missing %s parameter in aup config\" % key, log=logger)\n        d = json.loads(config[key])\n        logger.debug(\"Load resources %s\", json.dumps(d))\n        return {int(i): d[i] for i in d}\n\n    def run(self, job, rid, exp_config, call_back_func, **kwargs):\n        # experiment.json -> runtime_args will be loaded here\n        logger.debug(\"Job %d started on node %s\", job.jid, self.mapping)\n        overwrite = kwargs.get('overwrite', False)\n        env = kwargs.get('env', {})\n        logger.debug(\"Environment variables - %s\", env)\n        prescript = kwargs.get(\"prescript\", \"\").strip()\n        if prescript and prescript[-1] != \";\":\n            prescript += \";\"\n        postscript = kwargs.get(\"postscript\", \"\").strip()\n        if postscript and postscript[0] != \";\":\n            postscript = \";\" + postscript\n\n        curr_number_of_tries = 0\n        logger.debug(\"path:%s; script:%s\", job.path, job.script)\n        local_script = job.script.split()[0]\n        local_job_path = os.path.join(os.path.dirname(local_script))\n        local_config = None\n        local_out = None\n        config_path = None\n\n        save_model_flag = job.config.get('save_model', False)\n        local_model_path = None\n        remote_model_path = None\n        log_dump_path = None\n        # for async run\n        done_file_path = None\n\n        if save_model_flag is True and not self.one_shot:\n            local_model_path = os.path.join(local_job_path, \"aup_models\", \"models_{}\".format(self.eid))\n            remote_model_path = os.path.join(job.path, \"aup_models\", \"models_{}\".format(self.eid))\n            config_path = os.path.join(job.path, \"jobs\", 'best_job_%d.json' % self.eid)\n            log_dump_path = os.path.join(job.path, \"jobs\", \"best_job_%d.out\" % self.eid)\n            local_config = os.path.join(local_job_path, \"jobs\", \"best_job_%d.json\" % self.eid)\n            local_out = os.path.join(local_job_path, \"jobs\", \"best_job_%d.out\" % self.eid)\n            done_file_path = os.path.join(job.path, \"jobs\", \"best_job_%d.done\" % self.eid)\n        else:\n            config_path = os.path.join(job.path, \"jobs\", \"%d.json\" % job.jid)\n            log_dump_path = os.path.join(job.path, \"jobs\", \"%d.%d.out\" % (job.jid, job.curr_retries))\n            local_config = os.path.join(local_job_path, \"jobs\", \"%d.json\" % job.jid)\n            local_out = os.path.join(local_job_path, \"jobs\", \"%d.%d.out\" % (job.jid, job.curr_retries))\n            done_file_path = os.path.join(job.path, \"jobs\", \"%d.done\" % job.jid)\n\n        result = \"workingdir:%s\\njob:%s\\n,config:%s\" % (job.path, job.script, config_path)\n        res = \"ERROR\"\n\n        # in case save_model is true\n        def download_model_files(sftp, remote_dir, local_dir):\n            from stat import S_ISDIR\n\n            os.path.exists(local_dir) or os.makedirs(local_dir)\n            dir_items = sftp.listdir_attr(remote_dir)\n            for item in dir_items:\n                remote_path = os.path.join(remote_dir, item.filename)\n                local_path = os.path.join(local_dir, item.filename)\n                if S_ISDIR(item.st_mode):\n                    download_model_files(sftp, remote_path, local_path)\n                else:\n                    sftp.get(remote_path, local_path)\n\n        def sync_job_run():\n            nonlocal curr_number_of_tries\n            nonlocal local_job_path\n            nonlocal local_config\n            nonlocal local_out\n            nonlocal config_path\n            nonlocal save_model_flag\n            nonlocal local_model_path\n            nonlocal remote_model_path\n            nonlocal log_dump_path\n            nonlocal res\n            nonlocal result\n\n            output = None\n\n            # Auptimizer tries to run each job over ssh connection, 'max_retries' number of times.\n            while curr_number_of_tries < self._n_tries:\n                try:  # TODO-change it such that no need to keep ssh connection alive\n                    with self.remote_class(self.mapping[rid]) as remote:\n                        if rid not in self.verified:\n                            job.verify_remote(remote, overwrite=overwrite)\n                            self.verified.add(rid)\n                        job.config.save(local_config)\n                        sftp = open_sftp_with_timeout(remote.client, 5)\n\n                        # The job is run by copying over the script and required context, along with setting up the correct environments and preprocessing and post processing scripts.\n\n                        stdout = None\n                        output = \"\"\n                        if job.was_executed == False:\n                            sftp.put(local_config, config_path)\n\n                            logger.debug(\"Running the following commands- \")\n                            command = \"%scd %s; ./%s %s 2>&1 | tee %s%s\" % \\\n                                        (prescript, job.path, os.path.basename(job.script), config_path, log_dump_path, postscript)\n                            logger.debug(command)\n                            stdin, stdout, stderr = remote.exec_command(command, environment=env)\n\n                            with open(local_out, 'w') as fp:\n                                while True:\n                                    if self.is_job_stopped(job.jid) == True:\n                                        sftp.close()\n                                        raise StopIteration()\n\n                                    line = stdout.readline()\n                                    if not line:\n                                        break\n                                    output += line\n\n                                    logger.debug(line)\n\n                                    interm_res = parse_one_line(line)\n                                    if interm_res != None:\n                                        res = interm_res[0]\n                                        irid = self.append_interm_res(job.jid, interm_res[0])\n                                        self.append_multiple_results(job.jid, irid, self.eid, interm_res[1:])\n\n                                    fp.write(line)\n\n                            self.set_last_multiple_results(self.eid, job.jid)\n\n                            job.was_executed = True\n\n                        if save_model_flag is True:\n                            download_model_files(sftp, remote_model_path, local_model_path)\n\n                        sftp.close()\n\n                    if res == \"ERROR\":\n                        raise ValueError\n                except StopIteration:\n                    logger.info(\"Job stopped\")\n                    res = \"EARLY STOPPED\"\n                    break\n                except ValueError as e:\n                    logger.fatal(\"Failed to parse result, check %s files at local, or %s at remote\", \n                        local_out, log_dump_path)\n                    break\n                except pm.SSHException as e:\n                    logger.fatal(\"Failed to run job over ssh due to unknown reason: %s\", str(e))\n                    logger.fatal(\"%s\", result)\n                    logger.fatal(\"Something went wrong, retrying job with id: \"+str(job.jid))\n                    curr_number_of_tries += 1\n                    time.sleep(self._wait_time)\n                    output = str(e)\n                    continue\n                except Exception as e:\n                    logger.fatal(\"catch unexpected error %s\", e)\n                    logger.fatal(\"%s\", result)\n                    logger.fatal(\"Something went wrong, retrying job with id: \"+str(job.jid))\n                    curr_number_of_tries += 1\n                    time.sleep(self._wait_time)\n                    output = str(e)\n                    continue\n                if job.was_executed == True:\n                    logger.debug(\"return %s,%d\", res, job.jid)\n                    break\n            if res == \"ERROR\":\n                if output is not None:\n                    self.log_error_message(output)\n                logger.fatal(\"Unable to run job with id: \"+str(job.jid))\n            return res, job.jid\n\n        def async_job_run():\n            nonlocal curr_number_of_tries\n            nonlocal local_job_path\n            nonlocal local_config\n            nonlocal local_out\n            nonlocal config_path\n            nonlocal save_model_flag\n            nonlocal local_model_path\n            nonlocal remote_model_path\n            nonlocal log_dump_path\n            nonlocal done_file_path\n            nonlocal res\n            nonlocal result\n\n            # touch local_out\n            open(local_out, 'w').close()\n\n            time_job_start = time.time()\n            output = None\n\n            while curr_number_of_tries < self._n_tries:\n                try:  # TODO-change it such that no need to keep ssh connection alive\n                    with self.remote_class(self.mapping[rid]) as remote:\n                        if rid not in self.verified:\n                            job.verify_remote(remote, overwrite=overwrite)\n                            self.verified.add(rid)\n                        job.config.save(local_config)\n                        sftp = open_sftp_with_timeout(remote.client, 5)\n\n                        # The job is run by copying over the script and required context, along with setting up the correct environments and preprocessing and post processing scripts.\n                        \n                        stdout = None\n                        if job.was_executed == False:\n                            sftp.put(local_config, config_path)\n\n                            logger.debug(\"Running the following commands- \")\n                            command = \"%scd %s; rm -f %s; ((./%s %s >%s 2>&1 && echo '1' > %s) || echo '0' > %s%s) &\" % \\\n                                    (prescript, job.path, done_file_path, os.path.basename(job.script), config_path, log_dump_path, \\\n                                        done_file_path, done_file_path, postscript)\n\n                            logger.debug(command)\n                            stdin, stdout, stderr = remote.exec_command(command, environment=env)\n                            block_until_ready(remote.client, stdout, env)\n                            stdout.channel.recv_exit_status()   # block #TODO entry for issue regarding persistence\n\n                            job.was_executed = True\n\n                    # Jobs that are run with async as true, run using an asynchronous agent, which reconnects every 'async_timeout' seconds to check if the job has finished\n                    # The async job and Auptimizer correspond using a dummy log outputfile ('done_file_path').\n                    # Auptimizer checks the async job for timeout, success or failure using different encodings.\n                    done_status = False\n                    check_command = \"test -f %s && cat %s\" % (done_file_path, done_file_path)\n                    with self.refresh_lock:\n                        self.s_passed_recon = 0\n                        self.s_passed_interm = 0\n                    num_lines = 0\n                    ret = 1\n                    start_time = time.time()\n                    output = \"\"\n\n                    while ret != 0:\n                        end_time = time.time()\n                        passed_time = (end_time - start_time)\n                        with self.refresh_lock:\n                            self.s_passed_recon += passed_time\n                            self.s_passed_interm += passed_time\n\n                        start_time = end_time\n\n                        if self.is_job_stopped(job.jid) == True:\n                            sftp.close()\n                            raise StopIteration()\n\n                        if self._async_timeout is not None and time.time() - time_job_start > self._async_timeout:\n                            logger.critical(\"Asynchronous job timed out\")\n                            raise Exception(\"Job timedout\")\n\n                        # if the counter reached the async reconnect point\n                        with self.refresh_lock:\n                            if self.s_passed_recon > self._async_reconnect:\n                                logger.debug(\"Checking job status\")\n                                with self.remote_class(self.mapping[rid]) as remote:\n                                    stdin, stdout, _ = remote.exec_command(check_command, environment=env)\n                                    block_until_ready(remote.client, stdout, env)\n                                    ret = stdout.channel.recv_exit_status()\n                                    done_status = bool(stdout.read().decode(sys.stdin.encoding if sys.stdin.encoding is not None else 'UTF-8'))\n\n                                    self.s_passed_recon = 0\n                        # if the counter reached the interm res gather or we finished the job\n                        with self.refresh_lock:\n                            if self.s_passed_interm > self._get_interm_res or ret == 0:\n                                logger.debug(\"Getting the produced lines\")\n                                # get the last produced lines\n                                get_interm_command = \"tail -n \\\"$(($(cat %s | wc -l)-%d))\\\" %s\" % \\\n                                    (log_dump_path, num_lines, log_dump_path)\n                                with self.remote_class(self.mapping[rid]) as remote:\n                                    stdin, stdout, _ = remote.exec_command(get_interm_command, environment=env)\n                                    block_until_ready(remote.client, stdout, env)\n\n                                    with open(local_out, 'a') as fp:\n                                        while True:\n                                            line = stdout.readline()\n                                            if not line:\n                                                break\n                                            output += line\n\n                                            num_lines += 1\n                                            logger.debug(line)\n\n                                            interm_res = parse_one_line(line)\n                                            if interm_res != None:\n                                                res = interm_res[0]\n                                                irid = self.append_interm_res(job.jid, interm_res[0])\n                                                self.append_multiple_results(job.jid, irid, self.eid, interm_res[1:])\n\n                                            fp.write(line)\n\n                                self.s_passed_interm = 0\n\n                        # let other threads run\n                        time.sleep(0.01)\n\n                    # set the flag in multiple_result table\n                    self.set_last_multiple_results(self.eid, job.jid)\n\n                    with self.remote_class(self.mapping[rid]) as remote:\n                        sftp = remote.client.open_sftp()\n\n                        if save_model_flag is True:\n                            download_model_files(sftp, remote_model_path, local_model_path)\n\n                        sftp.close()\n                    if not done_status:\n                        res = \"ERROR\"\n\n                    if res == \"ERROR\":\n                        raise ValueError\n                except StopIteration as si:\n                    terminate_command = \"kill $(ps -axo pid:1,cmd:2 | grep '%s %s$' | head -n 1 | cut -d' ' -f1)\" % (os.path.basename(job.script), config_path)\n                    with self.remote_class(self.mapping[rid]) as remote:\n                        _, stdout, _ = remote.exec_command(terminate_command, environment=env)\n                        block_until_ready(remote.client, stdout, env)\n                        ret = stdout.channel.recv_exit_status()\n                        if ret != 0:\n                            logger.warning(\"Could not terminate remote process; possible hanging process remaining\")\n                    logger.info(\"Job stopped\")\n                    res = \"EARLY STOPPED\"\n                    break\n                except ValueError as e:\n                    logger.fatal(\"Failed to parse result, check %s at local, or %s at remote\", local_out, log_dump_path)\n                    break\n                except pm.SSHException as e:\n                    logger.fatal(\"Failed to run job over ssh due to unknown reason: %s\", str(e))\n                    logger.fatal(\"%s\", result)\n                    logger.fatal(\"Something went wrong, retrying job with id: \"+str(job.jid))\n                    curr_number_of_tries += 1\n                    time.sleep(self._wait_time)\n                    output = str(e)\n                    continue\n                except Exception as e:\n                    logger.fatal(\"catch unexpected error %s\", e)\n                    logger.fatal(\"%s\", result)\n                    logger.fatal(\"Something went wrong, retrying job with id: \"+str(job.jid))\n                    curr_number_of_tries += 1\n                    time.sleep(self._wait_time)\n                    output = str(e)\n                    continue\n                if job.was_executed == True:\n                    logger.debug(\"return %s,%d\", res, job.jid)\n                    break\n            if res == \"ERROR\":\n                if output is not None:\n                    self.log_error_message(output)\n                logger.fatal(\"Unable to run job with id: \"+str(job.jid))\n            return res, job.jid\n\n        def call_back(future3):\n            logger.debug(\"Callback for job %d\", job.jid)\n            try:\n                self.lock.acquire(True)\n                if future3.exception():  # If error happens, please report.  It is tricky to debug here.\n                    logger.fatal(\"Error happened in job execution that not captured.\")\n                    logger.fatal(future3.exception())\n                result = future3.result()\n                logger.debug(\"Callback result: %s\", result.__str__())\n                self.running.pop(self.running.index(future3))\n                call_back_func(*result)\n            finally:\n                self.lock.release()\n\n        future = None\n        if self._async_run is True:\n            future = self.executor.submit(async_job_run)\n        else:\n            future = self.executor.submit(sync_job_run)\n\n        if future is not None:\n            self.running.append(future)\n            future.add_done_callback(call_back)\n\n    def refresh(self):\n        # force a timer reset for async\n        with self.refresh_lock:\n            self.s_passed_recon = 2 * self._async_reconnect\n            self.s_passed_interm = 2 * self._get_interm_res\n"
  },
  {
    "path": "src/aup/EE/Resource/__init__.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nfrom .AbstractResourceManager import get_resource_manager\n\n"
  },
  {
    "path": "src/aup/EE/Resource/utils/ResourceThreadPoolExecutor.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.EE.Resource.util.ResourceThreadPoolExecutor\n=======================================\n\nChild class of python std ThreadPoolExecutor, extended for customization reasons.\n\nAPIs\n----\n\"\"\"\n\nfrom concurrent.futures import _base\nfrom concurrent.futures import ThreadPoolExecutor\nfrom concurrent.futures.thread import _WorkItem\n\n\nclass ResourceThreadPoolExecutor(ThreadPoolExecutor):\n    def __init__(self, *args, **kwargs):\n        super(ResourceThreadPoolExecutor, self).__init__(*args, **kwargs)\n    \n    def submit(self, fn, *args, **kwargs):\n        with self._shutdown_lock:\n            if self._shutdown:\n                return None\n\n            f = _base.Future()\n            w = _WorkItem(f, fn, args, kwargs)\n\n            self._work_queue.put(w)\n            self._adjust_thread_count()\n            return f\n"
  },
  {
    "path": "src/aup/EE/Resource/utils/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/EE/Resource/utils/curve_fitting.py",
    "content": "import scipy\nimport logging\nimport numpy as np\nimport time\n\nfrom scipy import optimize\n\nlogger = logging.getLogger(__name__)\n\n\ndef vap(x, a, b, c):\n    return np.exp(a+b/x+c*np.log(x))\n\ndef pow3(x, c, a, alpha):\n    return c - a * x**(-alpha)\n\ndef linear(x, a, b):\n    return a*x + b\n\ndef logx_linear(x, a, b):\n    x = np.log(x)\n    return a*x + b\n\ndef dr_hill_zero_background(x, theta, eta, kappa):\n    return (theta * x**eta) / (kappa**eta + x**eta)\n\ndef log_power(x, a, b, c):\n    return a/(1.+(x/np.exp(b))**c)\n\ndef pow4(x, alpha, a, b, c):\n    return c - (a*x+b)**-alpha\n\ndef mmf(x, alpha, beta, kappa, delta):\n    return alpha - (alpha - beta) / (1. + (kappa * x)**delta)\n\ndef exp4(x, c, a, b, alpha):\n    return c - np.exp(-a*(x**alpha)+b)\n\ndef ilog2(x, c, a):\n    return c - a / np.log(x)\n\ndef weibull(x, alpha, beta, kappa, delta):\n    return alpha - (alpha - beta) * np.exp(-(kappa * x)**delta)\n\ndef janoschek(x, a, beta, k, delta):\n    return a - (a - beta) * np.exp(-k*x**delta)\n\nCURVE_FIT_FUNCS = {\n    \"vap\": vap,\n    \"pow3\": pow3,\n    \"linear\": linear,\n    \"logx_linear\": logx_linear,\n    \"dr_hill_zero_background\": dr_hill_zero_background,\n    \"log_power\": log_power,\n    \"pow4\": pow4,\n    \"mmf\": mmf,\n    \"exp4\": exp4,\n    \"ilog2\": ilog2,\n    \"weibull\": weibull,\n    \"janoschek\": janoschek,\n}\n\n\nclass CurveModel:\n    LEAST_FITTED_FUNCTION = 4\n    NUM_INSTANCE = 10\n    STEP_SIZE = 0.0005\n\n    def __init__(self, iterations):\n        self.iterations = iterations\n\n    def fit_theta(self):\n        x = range(1, self.step + 1)\n        y = self.interm_res\n        func_params = {}\n        for func_name, func in CURVE_FIT_FUNCS.items():\n            try:\n                params = scipy.optimize.curve_fit(func, x, y)[0]\n                func_params[func_name] = params\n            except RuntimeError:\n                pass\n            except (FloatingPointError, OverflowError, ZeroDivisionError) as exception:\n                logger.warning(\"Mathematical error encountered in fit_theta: {}\".format(exception))\n            except Exception as exception:\n                logger.critical(\"Exceptions in fit_theta: {}\".format(exception))\n                raise exception\n        return func_params\n\n    def filter_curve(self, func_params):\n        standard = self.step * np.mean(self.interm_res) ** 2\n        predict_data = []\n        funcs = {}\n        for func_name, func in CURVE_FIT_FUNCS.items():\n            if func_name not in func_params:\n                continue\n            var = 0\n            for idx in range(1, self.step+1):\n                y = func(idx, *func_params[func_name])\n                var += (y - self.interm_res[idx-1]) ** 2\n            if var < standard:\n                predict_data += [y]\n                funcs[func_name] = func\n        final_funcs = {}\n        median = np.median(predict_data)\n        stddev = np.std(predict_data)\n        for func_name, func in funcs.items():\n            y = func(self.iterations, *func_params[func_name])\n            epsilon = self.step / 10 * stddev\n            if y < median + epsilon and y > median - epsilon:\n                final_funcs[func_name] = func\n        return final_funcs\n\n    def normalize_weights(self, samples, num_funcs):\n        for i in range(CurveModel.NUM_INSTANCE):\n            total = 0\n            for j in range(num_funcs):\n                total += samples[i][j]\n            for j in range(num_funcs):\n                samples[i][j] /= total\n        return samples\n    \n    def f_comb(self, pos, sample, funcs, func_params):\n        ret = 0\n        for idx, (func_name, func) in enumerate(funcs.items()):\n            y = func(pos, *func_params[func_name])\n            ret += sample[idx] * y\n        return ret\n    \n    def sigma_sq(self, sample, funcs, func_params):\n        ret = 0\n        for i in range(1, self.step + 1):\n            temp = self.interm_res[i - 1] - self.f_comb(i, sample, funcs, func_params)\n            ret += temp * temp\n        return 1.0 * ret / self.step\n\n    def normal_distribution(self, pos, sample, funcs, func_params):\n        curr_sigma_sq = self.sigma_sq(sample, funcs, func_params)\n        delta = self.interm_res[pos-1] - self.f_comb(pos, sample, funcs, func_params)\n        return np.exp(np.square(delta) / (-2.0 * curr_sigma_sq)) / np.sqrt(2 * np.pi * np.sqrt(curr_sigma_sq))\n\n    def likelihood(self, samples, funcs, func_params):\n        ret = np.ones(CurveModel.NUM_INSTANCE)\n        for i in range(CurveModel.NUM_INSTANCE):\n            for j in range(1, self.step + 1):\n                ret[i] *= self.normal_distribution(j, samples[i], funcs, func_params)\n        return ret\n    \n    def prior(self, samples, funcs, func_params):\n        ret = np.ones(CurveModel.NUM_INSTANCE)\n        for i in range(CurveModel.NUM_INSTANCE):\n            for j in range(len(funcs)):\n                if not samples[i][j] > 0:\n                    ret[i] = 0\n            if self.f_comb(1, samples[i], funcs, func_params) >= self.f_comb(self.iterations, samples[i], funcs, func_params):\n                ret[i] = 0\n        return ret\n\n    def target_distribution(self, samples, funcs, func_params):\n        curr_likelihood = self.likelihood(samples, funcs, func_params)\n        curr_prior = self.prior(samples, funcs, func_params)\n        ret = np.ones(CurveModel.NUM_INSTANCE)\n        for i in range(CurveModel.NUM_INSTANCE):\n            ret[i] = curr_likelihood[i] * curr_prior[i]\n        return ret\n\n    def mcmc_sampling(self, filtered_funcs, func_params, timeout):\n        t0 = time.time()\n        init_weight = np.ones((len(filtered_funcs),), dtype=np.float32) / len(filtered_funcs)\n        weights_samples = np.broadcast_to(init_weight, (CurveModel.NUM_INSTANCE, len(filtered_funcs)))\n        while True:\n            new_values = np.random.randn(CurveModel.NUM_INSTANCE, len(filtered_funcs)) * CurveModel.STEP_SIZE + weights_samples\n            new_values = self.normalize_weights(new_values, len(filtered_funcs))\n            alpha = np.minimum(1, self.target_distribution(new_values, filtered_funcs, func_params) / self.target_distribution(weights_samples, filtered_funcs, func_params))\n            u = np.random.rand(CurveModel.NUM_INSTANCE)\n            change_value_flag = (u < alpha).astype(np.int)\n            for idx in range(CurveModel.NUM_INSTANCE):\n                new_values[idx] = weights_samples[idx] * (1 - change_value_flag[idx]) + new_values[idx] * change_value_flag[idx]\n            weights_samples = new_values\n            if time.time() - t0 > timeout:\n                break\n        return weights_samples\n\n    def predict(self, interm_res, timeout):\n        self.interm_res = interm_res\n        self.step = len(interm_res)\n        func_params = self.fit_theta()\n        filtered_funcs = self.filter_curve(func_params)\n        final_keys = set(func_params.keys()) & set(filtered_funcs.keys())\n        filtered_funcs = {func_name: filtered_funcs[func_name] for func_name in final_keys}\n        func_params = {func_name: func_params[func_name] for func_name in final_keys}\n        if len(filtered_funcs) < CurveModel.LEAST_FITTED_FUNCTION:\n            return None\n        weights_samples = self.mcmc_sampling(filtered_funcs, func_params, timeout)\n        f_res = [self.f_comb(self.iterations, weight_sample, filtered_funcs, func_params) for weight_sample in weights_samples]\n        return np.mean(f_res) \n\n"
  },
  {
    "path": "src/aup/EE/__init__.py",
    "content": "\"\"\"\nModule for job execution\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\n"
  },
  {
    "path": "src/aup/ET/Connector/AbstractConnector.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.ET.Connector.AbstractConnector\n==================================\n\nDefine the basic interface between experiment tracking and executor engine.\n\nCurrently, SQLite is the only one implemented.\n\nAPIs\n----\n\"\"\"\nimport abc\nimport logging\n\nABC = abc.ABCMeta('ABC', (object,), {'__slots__': ()})\nlogger = logging.getLogger(__name__)\n\n\nclass AbstractConnector(ABC):\n    # ################ General Part #################\n    @abc.abstractmethod\n    def close(self):\n        \"\"\"\n        Mark the connector as closed. A closed connector should not be used anymore.\n        \"\"\"\n        pass\n\n    @abc.abstractmethod\n    def is_closed(self):\n        \"\"\"\n        Return whether or not the connector is closed. A closed connector should not be used anymore.\n        \"\"\"\n        return False\n\n    # ################ Resource Related Part #################\n    @abc.abstractmethod\n    def free_used_resource(self, rid):\n        \"\"\"\n        Mark resource as free (opposite to :func:take_available_resource)\n\n        :param rid: Resource ID(s)\n        :type rid: int\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def get_resource_type(self):\n        \"\"\"\n        Get the resource type for a given user\n        :return: list of resource types\n        :rtype: list\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def get_available_resource(self, username, rtype):\n        \"\"\"\n        Get available resource for a user and resource type.\n        Currently there is no limitation/requirement for user\n\n        :param username: username\n        :type username: str\n        :param rtype: Resource type\n        :type rtype: str\n        :return: Resource Id\n        :rtype: list(int)\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def take_available_resource(self, rid):\n        \"\"\"\n        Mark resource as used\n\n        TODO - currently where is prevention for async update, might not be relevant in the near future\n\n        :param rid: Resource ID(s)\n        :type rid: int\n        :return: True/False\n        \"\"\"\n        raise NotImplementedError\n\n    # ################ Experiment Related Part ################\n    @abc.abstractmethod\n    def end_experiment(self, eid):\n        \"\"\"\n        Mark experiment as finished\n\n        :param eid: Experiment ID\n        :type eid: int\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def get_best_result(self, eid, maximize=True):\n        \"\"\"\n        Retrieve the best job id and score from the database for experiment eid\n\n        :param eid: Experiment ID\n        :type eid: int\n        :param maximize: whether to choose max or min\n        :type maximize: bool\n        :return: Job ID, score\n        :rtype: list(int, float)\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def start_experiment(self, username, name, exp_config_blob):\n        \"\"\"\n        Create an Experiment and track it\n\n        :param username: username\n        :type username: str\n        :param name: experiment name\n        :type name: str\n        :param exp_config_blob: configuration of experiment\n        :type exp_config_blob: str\n        :return: experiment ID\n        :rtype: int\n        \"\"\"\n        raise NotImplementedError\n\n    # ################ Job Related Part #######################\n    @abc.abstractmethod\n    def end_job(self, jid, score, status):\n        \"\"\"\n        Mark a job ended\n\n        :param jid: Job ID\n        :type jid: int\n        :param score: score of the Job\n        :type score: str\n        :param status: status of the Job\n        :type status: enumeration\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def get_all_experiment(self, username=None):\n        \"\"\"\n        Get all Experiment IDs\n\n        :param username: to get experiments for a specific user\n        :type username: str\n        :return: Experiment IDs\n        :rtype: list(int)\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def get_all_history(self, eid):\n        \"\"\"\n        Get full history of an Experiment\n\n        :param eid: Experiment ID\n        :type eid: int\n        :return:\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def get_running_job(self, eid):\n        \"\"\"\n        Get running Job IDs\n\n        :param eid: Experiment ID\n        :type eid: int\n        :return: list of Job IDs\n        :rtype: list(int)\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def start_job(self, eid, rid, job_config):\n        \"\"\"\n        Start a job with job configuration and track it\n\n        :param eid: Experiment ID\n        :type eid: int\n        :param rid: Resource ID\n        :type rid: int\n        :param job_config: Configuration for :class:`aup.EE.Job.Job`\n        :type job_config: BasicConfig\n        :return: Job ID (jid)\n        :rtype: int\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def start_job_attempt(self, rid, jid):\n        \"\"\"\n        Starts a job attempt for a given job, using the given resource\n\n        :param rid: Resource ID\n        :type rid: int\n        :param jid: Job ID\n        :type jid: int\n        :return: Job Attempt ID (jaid)\n        :rtype: int\n        \"\"\"\n        raise NotImplementedError\n\n    @abc.abstractmethod\n    def end_job_attempt(self, jid):\n        \"\"\"\n        Ends a job attempt, but not a job (leaving room for retries)\n\n        :param id: Job ID\n        :type id: int\n        \"\"\"\n        raise NotImplementedError\n\n    def update_job_status(self, jid, status):\n        \"\"\"\n        Change a job's status\n\n        :param jid: Job ID\n        :type jid: int\n        :param status: new status\n        :type status: enumeration\n        \"\"\"\n        raise NotImplementedError\n\n    # ################ Job interface for Experiment ##############\n    def job_finished(self, rid, jid, score=None, status=None):\n        \"\"\"\n        Clean up Job when it is finished\n\n        :param rid: Resource ID to be free\n        :type rid: int\n        :param jid: Job ID\n        :type jid: int\n        :param score: score returned by Job (error case will be ERROR)\n        :type score: float / str\n        :param status: job status\n        :type status: enumeration\n        \"\"\"\n        logger.debug(\"Job %d is finished on %d, score is %s\" % (jid, rid, score))\n        self.free_used_resource(rid)\n        self.end_job_attempt(jid)\n        self.end_job(jid, score, status)\n\n    def job_started(self, eid, rid, job_config):\n        \"\"\"\n        Interface to automatically take resource and run job.\n\n        :param eid: Experiment ID\n        :type eid: int\n        :param rid: Resource ID\n        :type rid: int\n        :param job_config: Configuration for Job\n        :type job_config: BasicConfig\n        :return: Job ID\n        :rtype: int\n        \"\"\"\n        self.take_available_resource(rid)\n        return self.start_job(eid, rid, job_config)\n\n    def job_failed(self, rid, jid):\n        \"\"\"\n        Interface to take care of job failure in case of possible retries\n        \n        :param rid: Resource ID\n        :type rid: int\n        :param jid: Job ID\n        :type jid: int\n        \"\"\"\n        self.free_used_resource(rid)\n        self.end_job_attempt(jid)\n    \n    def job_retry(self, rid, jid):\n        \"\"\"\n        Interface to mark the beginning of a job retry\n\n        :param rid: Resource ID\n        :type rid: int\n        :param jid: Job ID\n        :type jid: int\n        \"\"\"\n        self.take_available_resource(rid)\n        return self.start_job_attempt(rid, jid)\n\n    def save_intermediate_result(self, jid, score):\n        \"\"\"\n        Interface for saving intermediate result for a job.\n\n        :param jid: Job ID\n        :type jid: int\n        :param score: the intermediate result\n        :type score: float\n        :return: intermediate_result table id\n        :rtype: int\n        \"\"\"\n        raise NotImplementedError\n\n    def get_intermediate_results_job(self, jid):\n        \"\"\"\n        Interface for extracting all intermediate results available for a given job.\n\n        :param jid: Job ID\n        :type jid: int\n        :return: list of intermediate results, in order\n        :rtype: float list\n        \"\"\"\n        raise NotImplementedError\n\n    def get_intermediate_results_jobs(self, jids):\n        \"\"\"\n        Interface for extracting all intermediate results available for a given list of jobs.\n\n        :param jids: Job IDs\n        :type jids: int list\n        :return: dictionary mapping job IDs to lists of intermediate results, in order\n        :rtype: dict<int, float list>\n        \"\"\"\n        raise NotImplementedError\n\n    def get_intermediate_results_experiment(self, eid, status):\n        \"\"\"\n        Interface for extracting all intermediate results for all jobs of a given experiment, \n        fitting a given status.\n\n        :param eid: Experiment ID\n        :type eid: int\n        :param status: Desired status for filtering jobs\n        :type status: enumeration\n        :return: dictionary mapping job IDs to lists of intermediate results, in order\n        :rtype: dict<int, float list>\n        \"\"\"\n        raise NotImplementedError\n\n    def create_experiment(self, username, name, exp_config_blob):\n        \"\"\"\n        Interface for creating an experiment without starting it\n        \"\"\"\n        raise NotImplementedError\n\n    def delete_experiment(self, eid):\n        \"\"\"\n        Interface for deleting an experiment by eid\n        \"\"\"\n        raise NotImplementedError\n\n    def get_experiment_status(self, eid):\n        \"\"\"\n        Interface for getting the database status of an experiment\n        \"\"\"\n        raise NotImplementedError\n\n    def start_experiment_by_eid(self, eid):\n        \"\"\"\n        Interface for (re)starting an experiment by eid\n        \"\"\"\n        raise NotImplementedError\n\n    def log_error_message(self, eid, msg):\n        \"\"\"\n        Log in database the error message\n        \"\"\"\n        raise NotImplementedError\n\n    def save_multiple_results(self, jid, irid, eid, labels, scores):\n        \"\"\"\n        Save in database other results desired by user\n        \"\"\"\n        raise NotImplementedError\n\n    def set_last_multiple_results(self, eid, jid, num_labels):\n        \"\"\"\n        Set the 'is_last_result' flag to true for this jid\n        \"\"\"\n        raise NotImplementedError\n"
  },
  {
    "path": "src/aup/ET/Connector/SQLiteConnector.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.ET.Connector.SQLiteConnector\n================================\n\nIf encounter \"Failed to query SQLite after xx times\" error,\nincrease DELAY_INTERVAL and REPEATED_TIME to prevent problem temporarily.\n\nAPIs\n----\n\"\"\"\nimport logging\nimport re\nimport sqlite3\nimport threading\nfrom time import sleep\nimport json\nfrom datetime import datetime\n\nfrom .AbstractConnector import AbstractConnector\n\nlogger = logging.getLogger(__name__)\n\nDELAY_INTERVAL = 0.1\nREPEATED_TIME = 5\nLOCK = threading.Lock()\n\ndef _delayed(func):\n    def wrapper(*args, **kwargs):\n        flag = 0\n        while flag < REPEATED_TIME:\n            try:\n                LOCK.acquire() # make sure not to call @_delayed functions recursively from one another\n                results = func(*args, **kwargs)\n                return results\n            except sqlite3.ProgrammingError as ex:  # pragma: no cover\n                logger.critical(\"update is too frequent, delayed for 1 sec\")\n                logger.debug(\"sqlite3 programming error: {}\".format(ex))\n                sleep(DELAY_INTERVAL)\n                flag += 1\n            finally:\n                LOCK.release()\n        raise Exception(\"Failed to query SQLite after %d times\" % flag)  # pragma: no cover\n\n    return wrapper\n\n\nclass SQLiteConnector(AbstractConnector):\n    def __init__(self, filename):\n        super(SQLiteConnector, self).__init__()\n        self.connector = sqlite3.connect(filename, check_same_thread=False)\n        self.cursor = self.connector.cursor()\n        self.cursor.execute(\"PRAGMA FOREIGN_KEYS = ON;\")\n        self.closed = False\n\n    def _fix_name(self, name):\n        self.cursor.execute(\"SELECT name FROM experiment WHERE name = ?\", (name,))\n        names = [i[0] for i in self.cursor.fetchall()]\n        if not names:\n            return name\n        self.cursor.execute(\"SELECT name FROM experiment WHERE name LIKE ?\", (\"{} (%)\".format(name),))\n        last_index = 0\n        names = [i[0] for i in self.cursor.fetchall()]\n        if names:\n            names = [name for name in names if re.findall(r\"\\(\\d+\\)$\", name)]\n            if names:\n                indexes = [int(re.findall(r\"\\(\\d+\\)$\", name)[-1][1:-1]) for name in names]\n                last_index = max(indexes)\n        return name + \" ({})\".format(last_index + 1)\n\n    def _mark_resource(self, rid, status):\n        if not isinstance(rid, int):\n            raise ValueError(\"Resource ID is not integer, %s\"%type(rid))\n        self.cursor.execute(\"UPDATE resource SET status=? WHERE rid=?\", (status, rid))\n        self.connector.commit()\n        # other utils\n\n    @_delayed\n    def free_all_resources(self):\n        self.cursor.execute(\"UPDATE resource SET status='free'\")\n        self.connector.commit()\n\n    @_delayed\n    def close(self):\n        self.connector.commit()\n        self.connector.close()\n        self.closed = True\n\n    @_delayed\n    def is_closed(self):\n        return self.closed\n\n    @_delayed\n    def end_experiment(self, eid, status=\"FINISHED\"):\n        self.cursor.execute(\"UPDATE experiment SET end_time=strftime('%s','now'), status=? WHERE eid=?\", (status, eid))\n        self.connector.commit()\n\n    @_delayed\n    def change_experiment_status(self, eid, status=\"FINISHED\"):\n        self.cursor.execute(\"UPDATE experiment SET status=? WHERE eid=?\", (status, eid))\n        self.connector.commit()\n\n    @_delayed\n    def end_job(self, jid, score=None, status=None):\n        self.cursor.execute(\"UPDATE job SET end_time=strftime('%s','now'), status=?, score=? WHERE jid=?\", (status, score, jid))\n        self.connector.commit()\n\n    @_delayed\n    def end_job_attempt(self, jid):\n        self.cursor.execute(\"\"\"UPDATE job_attempt SET end_time=strftime('%s', 'now') WHERE jaid=(\n                                    SELECT jaid FROM job_attempt jt WHERE jt.jid=? ORDER BY num DESC LIMIT 1)\"\"\", (jid,))\n        self.connector.commit()\n\n    @_delayed\n    def free_used_resource(self, rid):\n        self._mark_resource(rid, 'free')\n        return True\n\n    @_delayed\n    def get_all_experiment(self, username=None):\n        if username:\n            self.cursor.execute(\"SELECT uid FROM user WHERE name = ?\", (username,))\n            uid = self.cursor.fetchone()\n            if uid is None:\n                raise ValueError(\"User %s does not exist\" % username)\n            self.cursor.execute(\"SELECT eid FROM experiment WHERE uid = ?\", (uid[0],))\n        else:\n            self.cursor.execute(\"SELECT eid FROM experiment\")\n        eids = self.cursor.fetchall()\n        return [e[0] for e in eids]  # unzip tuple of one element\n\n    @_delayed\n    def get_available_resource(self, username, rtype, rid_blacklist=None):\n        rids = []\n        if rid_blacklist:\n            # Initial approach:\n            # self.cursor.execute(\"SELECT rid FROM resource WHERE status = 'free' AND type = ? AND rid NOT IN ?;\", (rtype, rid_blacklist))\n            # However, this does not work with sqlite3, so the following approach was ultimately selected\n            self.cursor.execute(\"SELECT rid FROM resource WHERE status = 'free' AND type = ? AND rid NOT IN ({});\".format(\n                                    \",\".join(\"?\" * len(rid_blacklist))), (rtype,) + tuple(rid_blacklist))\n            rids = [i[0] for i in self.cursor.fetchall()]\n        if not rids:\n            # An attempt was made to filter out resources, but this was not possible (the only\n            # available resource are the ones blacklisted)\n            self.cursor.execute(\"SELECT rid FROM resource WHERE status = 'free' AND instr(?, type) != 0;\", (rtype,))\n            rids = [i[0] for i in self.cursor.fetchall()]\n        return rids\n\n    @_delayed\n    def get_all_history(self, eid):\n        self.cursor.execute(\"SELECT * FROM job WHERE eid = ?\", (eid,))\n        return self.cursor.fetchall()\n\n    @_delayed\n    def get_best_result(self, eid, maximize=True):\n        if maximize:\n            self.cursor.execute(\"\"\"SELECT jid, score \n                FROM job WHERE eid = ? AND score=(select max(score) from job where eid=? AND typeof(score) = 'real')\"\"\", (eid, eid))\n        else:\n            self.cursor.execute(\"\"\"SELECT jid, score \n                FROM job WHERE eid = ? AND score=(select min(score) from job where eid=? AND typeof(score) = 'real')\"\"\", (eid, eid))\n        t = self.cursor.fetchone()\n        if t is None:\n            self.cursor.execute(\"\"\"select * from experiment where eid=?\"\"\", (eid,))\n            t = self.cursor.fetchone()\n            if t is None:\n                raise KeyError(\"Experiment ID %d not exist\" % eid)\n            else:\n                return None\n        return list(t)\n\n    @_delayed\n    def get_best_result_config(self, eid, maximize=True):\n        if maximize:\n            self.cursor.execute(\"\"\"SELECT job_config \n                FROM job WHERE eid = ? AND score=(select max(score) from job where eid=? AND typeof(score) = 'real')\"\"\", (eid, eid))\n        else:\n            self.cursor.execute(\"\"\"SELECT job_config \n                FROM job WHERE eid = ? AND score=(select min(score) from job where eid=? AND typeof(score) = 'real')\"\"\", (eid, eid))\n        t = self.cursor.fetchone()\n\n        return t\n\n    @_delayed\n    def get_running_job(self, eid):\n        self.cursor.execute(\"SELECT jid FROM job WHERE eid = ?\", (eid,))\n        jid = [i[0] for i in self.cursor.fetchall()]\n        logger.debug(\"%s\" % jid)\n        return jid\n\n    @_delayed\n    def get_resource_type(self):\n        self.cursor.execute(\"SELECT DISTINCT type from resource;\")\n        return [i[0] for i in self.cursor.fetchall()]\n\n    @_delayed\n    def start_experiment(self, username, name, exp_config_blob):\n        self.cursor.execute(\"SELECT uid FROM user WHERE name = ?\", (username,))\n        uid = self.cursor.fetchone()\n        if uid is None:\n            raise ValueError(\"username %s is not existed\" % username)\n        uid = uid[0]\n        name = self._fix_name(name)\n        self.cursor.execute(\"INSERT INTO experiment (uid, name, exp_config, start_time, error_msg, status) \\\n                                VALUES (?,?,?, strftime('%s','now'), NULL, 'RUNNING')\",\n                            (uid, name, exp_config_blob))\n\n        self.connector.commit()\n        return self.cursor.lastrowid\n\n    @_delayed\n    def start_experiment_by_eid(self, eid):\n        self.cursor.execute(\"DELETE FROM multiple_result WHERE eid={eid}\".format(eid=eid))\n        self.connector.commit()\n        self.cursor.execute(\"DELETE FROM job_attempt WHERE jid in (SELECT jid FROM job WHERE eid={eid})\".format(eid=eid))\n        self.connector.commit()\n        self.cursor.execute(\"DELETE FROM intermediate_result WHERE jid in (SELECT jid FROM job WHERE eid={eid})\".format(eid=eid))\n        self.connector.commit()\n        self.cursor.execute(\"DELETE FROM job WHERE eid={eid}\".format(eid=eid))\n        self.connector.commit()\n        self.cursor.execute(\"UPDATE experiment SET start_time = strftime('%s','now'), end_time = NULL, \\\n                            error_msg = NULL, status = 'RUNNING' WHERE eid={eid}\".format(eid=eid))\n        self.connector.commit()\n\n    @_delayed\n    def start_job(self, eid, rid, job_config):\n        self.cursor.execute(\"INSERT INTO job (eid, start_time, job_config, status) VALUES (?, strftime('%s','now'), ?, 'RUNNING')\",\n                            (eid, json.dumps(job_config)))\n        self.connector.commit()\n        jid = self.cursor.lastrowid\n        self.cursor.execute(\"INSERT INTO job_attempt (jid, num, rid, start_time) VALUES (?, 0, ?, (SELECT start_time FROM job j WHERE j.jid=?))\",\n                            (jid, rid, jid))\n        self.connector.commit()\n        return jid\n    \n    @_delayed\n    def start_job_attempt(self, rid, jid):\n        self.cursor.execute(\"INSERT INTO job_attempt (jid, num, rid, start_time) \\\n                            VALUES (?, (SELECT num FROM job_attempt jt WHERE jt.jid=? ORDER BY num DESC LIMIT 1)+1, ?, strftime('%s', 'now'))\",\n                            (jid, jid, rid))\n        self.connector.commit()\n        return self.cursor.lastrowid\n\n    @_delayed\n    def update_job_status(self, jid, status):\n        self.cursor.execute(\"UPDATE job SET status=? WHERE jid=?\", (status, jid))\n        self.connector.commit()\n\n    @_delayed\n    def take_available_resource(self, rid):\n        self._mark_resource(rid, 'busy')\n        return True\n\n    @_delayed\n    def save_intermediate_result(self, jid, score):\n        self.cursor.execute(\"\"\"\n            INSERT INTO intermediate_result (num, jid, score, receive_time) \n            VALUES ((SELECT CASE EXISTS(SELECT num FROM intermediate_result ir WHERE ir.jid=?) \n                        WHEN 0 THEN -1 \n                        WHEN 1 THEN (SELECT num FROM intermediate_result ir WHERE ir.jid=? ORDER BY num DESC LIMIT 1) END) + 1,\n                    ?, ?, strftime('%s', 'now'))\"\"\",\n            (jid, jid, jid, score))\n        self.connector.commit()\n        return self.cursor.lastrowid\n\n    @_delayed\n    def get_intermediate_results_job(self, jid):\n        self.cursor.execute(\"\"\"\n            SELECT score\n            FROM intermediate_result ir\n            WHERE ir.jid=?\n            ORDER BY ir.num ASC;\"\"\", (jid,))\n        rows = [row[0] for row in self.cursor.fetchall()]\n        return rows\n\n    @_delayed\n    def get_intermediate_results_jobs(self, jids):\n        self.cursor.execute(\"\"\"\n            SELECT jid, score\n            FROM intermediate_result ir\n            WHERE ir.jid in ({})\n            ORDER BY ir.jid, ir.num ASC;\"\"\".format(\",\".join(\"?\" * len(jids))), tuple(jids))\n        rows = self.cursor.fetchall()\n        results = {}\n        for jid, score in rows:\n            if jid not in results:\n                results[jid] = []\n            results[jid] += [score]\n        return results\n\n    @_delayed\n    def get_intermediate_results_experiment(self, eid, status):\n        self.cursor.execute(\"\"\"\n            SELECT jid, score\n            FROM intermediate_result ir\n            WHERE EXISTS(SELECT 1 FROM job j WHERE j.jid=ir.jid AND j.eid=? AND j.status=?)\n            ORDER BY ir.jid, ir.num ASC;\"\"\", (eid, status))\n        rows = self.cursor.fetchall()\n        results = {}\n        for jid, score in rows:\n            if jid not in results:\n                results[jid] = []\n            results[jid] += [score]\n        return results\n\n    @_delayed\n    def create_experiment(self, username, name, exp_config_blob):\n        self.cursor.execute(\"SELECT uid FROM user WHERE name = ?\", (username,))\n        uid = self.cursor.fetchone()\n        if uid is None:\n            raise ValueError(\"username %s is not existed\" % username)\n        uid = uid[0]\n        name = self._fix_name(name)\n        self.cursor.execute(\"INSERT INTO experiment (uid, name, exp_config, start_time, end_time, error_msg, status) \\\n                            VALUES (?,?,?, NULL, NULL, NULL, 'CREATED')\",\n                            (uid, name, exp_config_blob))\n        self.connector.commit()\n        return self.cursor.lastrowid\n\n    @_delayed\n    def delete_experiment(self, eid):\n        self.cursor.execute(\"SELECT eid FROM experiment WHERE eid = ?\", (eid,))\n        check_eid = self.cursor.fetchone()\n        if check_eid is None:\n            return False\n\n        self.cursor.execute(\"DELETE FROM multiple_result WHERE eid={eid};\".format(eid=eid))\n        self.cursor.execute(\"DELETE FROM job_attempt WHERE jid in (SELECT jid FROM job WHERE eid={eid})\".format(eid=eid))\n        self.cursor.execute(\"DELETE FROM intermediate_result WHERE jid in (SELECT jid FROM job WHERE eid={eid})\".format(eid=eid))\n        self.cursor.execute(\"DELETE FROM job WHERE eid={eid}\".format(eid=eid))\n        self.cursor.execute(\"DELETE from experiment WHERE eid={eid}\".format(eid=eid))\n        self.connector.commit()\n\n        return True\n\n    @_delayed\n    def get_experiment_status(self, eid):\n        self.cursor.execute(\"SELECT status FROM experiment WHERE eid = ? LIMIT 1\", (eid,))\n        status = self.cursor.fetchone()\n        \n        if status is None:\n            raise ValueError(\"Requested experiment for get_experiment_status not found in database!\")\n        \n        return status[0]\n    \n    @_delayed\n    def maybe_get_experiment_status(self, eid):\n        # TODO: we need a way to recursively call these functions without locking issues (due to @_delayed)\n        if self.closed:\n            return None\n\n        self.cursor.execute(\"SELECT status FROM experiment WHERE eid = ? LIMIT 1\", (eid,))\n        status = self.cursor.fetchone()\n\n        if status is None:\n            raise ValueError(\"Requested experiment for get_experiment_status not found in database!\")\n\n        return status[0]\n\n    @_delayed\n    def log_error_message(self, eid, msg):\n        self.cursor.execute(\"UPDATE experiment SET error_msg=? WHERE eid=? and error_msg is NULL\", (msg, eid))\n        self.connector.commit()\n\n    @_delayed\n    def save_multiple_results(self, jid, irid, eid, labels, scores):\n        receive_time = int(datetime.now().timestamp())\n\n        self.cursor.execute(\"\"\"\n                    SELECT count(*) FROM sqlite_master WHERE type='table' AND name='multiple_result'\"\"\")\n        res = self.cursor.fetchone()[0]\n\n        if res == 0:\n            logger.warning(\"multiple_result table not found, continuing without saving multiple results! \\n \\\n                            Please consider updating Auptimizer to >=1.5\")\n            return\n\n        for idx in range(len(scores)):\n            self.cursor.execute(\"\"\"\n                    INSERT INTO multiple_result (label_order, value, receive_time, jid, irid, eid, is_last_result)\n                    VALUES (?, ?, ?, ?, ?, ?, 0)\"\"\",\n                    (idx+1, scores[idx], receive_time, jid, irid, eid))\n\n        self.connector.commit()\n\n    @_delayed\n    def set_last_multiple_results(self, eid, jid, num_labels):\n        self.cursor.execute(\"\"\"\n                    SELECT mrid FROM multiple_result WHERE eid=? AND jid=?\n                    ORDER BY mrid DESC LIMIT 0,?\"\"\", (eid, jid, num_labels))\n        res = self.cursor.fetchall()\n\n        for mrid in res:\n            self.cursor.execute(\"\"\"\n                            UPDATE multiple_result SET is_last_result=1 WHERE mrid=?\"\"\", (mrid[0],))\n\n        self.connector.commit()\n\n"
  },
  {
    "path": "src/aup/ET/Connector/__init__.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\""
  },
  {
    "path": "src/aup/ET/__init__.py",
    "content": "\"\"\"\nModule for Experiment Tracking\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\""
  },
  {
    "path": "src/aup/Proposer/AbstractProposer.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.Proposer.AbstractProposer\n=============================\n\n:mod:`aup.Proposer.AbstractProposer` provide interface for Hyperparameter Optimization Modules.\n\nAPIs\n----\n\"\"\"\nimport abc\nimport logging\nimport pickle\nimport json\nimport threading\nfrom six.moves import input\n\nfrom ..utils import set_default_keyvalue, check_missing_key, get_from_options\nfrom . import ProposerStatus\n\nABC = abc.ABCMeta('ABC', (object,), {'__slots__': ()})\n\nlogger = logging.getLogger(__name__)\n\n\ndef create_param_config(name, vrange, vtype):\n    \"\"\"\n    Reads the configuration file and checks for errors.\n    \"\"\"\n    if vtype not in ('float', 'int', 'choice'):\n        raise ValueError(\"%s is not supported as hyperparameter type\" % vtype)\n    if vtype != 'choice' and len(vrange) != 2:\n        raise ValueError(\"Range need to be a two element tuple for %s\" % vtype)\n\n    return {'name': name, 'range': vrange, 'type': vtype}\n\nclass AbstractProposer(ABC):\n    \"\"\"\n    Proposer to generate new values for hyperparameters\n\n    :param config: experiment configuration\n    :type config: BasicConfig\n    \"\"\"\n\n    def __init__(self, config):\n        self.nSamples = 0   # number of total jobs for an experiment\n        self.counter = 0    # number of executed jobs\n        self.current_proposal = dict()\n        self.status = ProposerStatus.RUNNING  # whether the experiment is finished\n        self.status_lock = threading.Lock()\n        AbstractProposer.verify_config(self, config)\n\n    def set_status(self, status):\n        with self.status_lock:\n            self.status = status\n\n    def get_status(self):\n        with self.status_lock:\n            return self.status\n\n    def increment_job_counter(self):\n        with self.status_lock:\n            self.counter += 1\n\n    def check_termination(self):\n        with self.status_lock:\n            if self.counter >= self.nSamples:\n                self.status = ProposerStatus.FINISHED\n\n    def get_remaining_jobs(self):\n        with self.status_lock:\n            return self.nSamples - self.counter\n\n    @staticmethod\n    def setup_config():  # pragma: no cover\n        config = []\n        try:\n            print(\"start adding hyperparameters, use 'stop' for variable name or ctrl+c to exit\")\n            while True:\n                name = input(\"variable name:\")\n                if name == \"stop\":\n                    break\n                try:\n                    res = input(\"range (separated by ,):\")\n                    if \"'\" in res:\n                        res = res.replace(\"'\", '\"')\n                    if res[0] == '[' and res[-1] == ']':\n                        vrange = json.loads(res)\n                    else:\n                        vrange = json.loads(\"[\" + res + \"]\")\n                except ValueError:\n                    logger.critical(\"failed to parse range, treat it as strings separated by ','\")\n                    vrange = res.split(\",\")\n                if len(vrange) == 0:\n                    raise ValueError(\"range needs at least one element\")\n                vtype = get_from_options(\"type:\", (\"choice\", \"float\", \"int\"))\n                config.append({'name': name, \"range\": vrange, \"type\": vtype})\n        except KeyboardInterrupt:\n            print(\"Config interrupted, completed variables are saved.\")\n        return {\"parameter_config\": config}\n\n    @staticmethod\n    def parse_param_config(config):\n        \"\"\"\n        Parse the given experiment configuration of ``parameter_config``\n        If values are missing, fill in defaults.\n\n        :param config: config[\"param_config\"]\n        :type config: dict\n        :return: updated config\n        :rtype: dict\n        \"\"\"\n        check_missing_key(config, \"name\",\n                          \"Missing name of the parameter, need to be consistent with your training code\",\n                          log=logger)\n        set_default_keyvalue(\"type\", \"int\", config, log=logger)\n        set_default_keyvalue(\"range\", [0, 1], config, log=logger)\n        return config\n\n    def get(self, **kwargs):\n        \"\"\"\n        Wrapper for specific :func:`get_param` to update ``current_proposal`` and ``counter``.\n\n        :param kwargs: any arguments to be passed to :func:`get_param`\n        :type kwargs: dict\n        :return: parameter values\n        :rtype: dict\n        \"\"\"\n        self.check_termination()\n        if self.get_status() != ProposerStatus.RUNNING:\n            return None\n        self.current_proposal = self.get_param(**kwargs)\n\n        logger.debug(self.current_proposal)\n        if not self.current_proposal:\n            return None\n\n        return self.current_proposal.copy()\n\n    @abc.abstractmethod\n    def get_param(self, **kwargs):\n        \"\"\"\n        Get new proposed parameter values\n        \"\"\"\n        raise NotImplementedError\n\n    def reload(self, path):\n        \"\"\"\n        Reload Proposer state from path\n\n        :param path: path to reload\n        :type path: str\n        \"\"\"\n        logger.info(\"Reload %s, previous cancelled job won't be run\", path)\n        with open(path, 'rb') as f:\n            d = pickle.load(f)\n        for i in d.__dict__:\n            self.__dict__[i] = d.__dict__[i]\n        return self\n\n    def reset(self):\n        \"\"\"\n        Reset proposer\n        \"\"\"\n        with self.status_lock:\n            self.counter = 0\n            self.status = ProposerStatus.RUNNING\n\n    def save(self, path):\n        \"\"\"\n        Save Proposer state to path.\n        \n        **Some proposer can not generate new parameters after saving.**\n\n        :param path: path to save\n        :type path: str\n        \"\"\"\n        with open(path, 'wb') as f:\n            pickle.dump(self, f)\n\n    def update(self, score, job):\n        \"\"\"\n        Update scores in proposer history\n\n        :param score: score returned by Job\n        :type score: float\n        :param job: Finished job\n        :type job: Job\n        \"\"\"\n        logger.debug(\"Get score ({}) for job {}\".format(score, job.jid))\n\n    def failed(self, job):\n        \"\"\"\n        Mark job as failed in proposer history.\n        \n        :param job: Failed job\n        :type job: Job\n        \"\"\"\n        logger.debug(\"Job {} marked as failed\".format(job.jid))\n\n    def verify_config(self, config):\n        \"\"\"\n        Verify the input configuration is enough for the proposer\n\n        :param config: Experiment configuration of ``parameter_config``\n        :type config: dict\n        :return: config\n        :rtype: dict\n        \"\"\"\n        check_missing_key(config, \"parameter_config\",\n                          \"Specify the parameter configuration `parameter_config` to be searched\", log=logger)\n        for i in config[\"parameter_config\"]:\n            check_missing_key(i, \"name\", \"hyperparameter name is missing\", log=logger)\n        return config\n\n    def __getstate__(self):\n        state = self.__dict__.copy()\n        del state['status_lock']\n        return state\n\n    def __setstate__(self, state):\n        self.__dict__.update(state)\n        self.status_lock = threading.Lock()\n\n"
  },
  {
    "path": "src/aup/Proposer/BOHBProposer.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.Proposer.BOHBProposer\n=========================\n\nBOBH proposer inherited from `HpBandSter <https://automl.github.io/HpBandSter/build/html/index.html>`_ to showcase\nthe simplicity of Auptimizer to integrate new HPO algorithms.  The `get_params()` method is based on the\n`master.py <https://github.com/automl/HpBandSter/blob/master/hpbandster/core/master.py>`_ from the original BOHB implementation.\n\nConfiguration\n-------------\n\nGeneral parameters\n~~~~~~~~~~~~~~~~~~\n\nDetailed explanations availale on the `HpBandSter API documentation page\n<https://automl.github.io/HpBandSter/build/html/optimizers/bohb.html>`_.\n\n==================== =================== ========================================\nName                 Default value       Explanation\n==================== =================== ========================================\nn_iterations         4                   General iterations\nmin_points_in_model  None                Number of points to construct KDE\ntop_n_percent        15                  Percentage to keep\nnum_samples          64                  Number of samples for EI\nrandom_fraction      0.3333333333333333  Fraction to explore randomly\nbandwidth_factor     3                   Widening factor for KDE\nmin_bandwidth        0.001               Minimum sample bandwidth\n==================== =================== ========================================\n\n\nAPIs\n----\n\"\"\"\n\nimport logging\n\nimport numpy as np\nfrom six.moves import input\nfrom six import PY3\n\nfrom .AbstractProposer import AbstractProposer\nfrom . import ProposerStatus\nfrom ..utils import set_default_keyvalue\nfrom .hpbandster.optimizers.bohb import BOHB\nfrom .hpbandster.optimizers.iterations import SuccessiveHalving\n\nimport ConfigSpace as CS\n\nfrom hpbandster.optimizers.config_generators.bohb import BOHB\nfrom hpbandster.core.dispatcher import Job\n\nlogger = logging.getLogger(__name__)\n\nassert PY3, \"BOHB hpbandster supports Python 3 only!\"\n\nBOHB_DEFAULT = dict(min_points_in_model=None,\n                    top_n_percent=15,\n                    num_samples=64,\n                    random_fraction=0.3333333333333333,\n                    bandwidth_factor=3,\n                    min_bandwidth=0.001)\n\nSH_DEFAULT = dict(eta=3,\n                  min_budget=0.01,\n                  max_budget=1)\n\n\nclass BOHBProposer(AbstractProposer):\n    def __init__(self, config):\n        super(BOHBProposer, self).__init__(config)\n        self.tid = 0\n        self.target = 1 if config['target'] == min else -1  # bohb targets for loss only\n\n        # BOHB config parameters\n        set_default_keyvalue(\"n_iterations\", 4, config)\n        for k, v in BOHB_DEFAULT.items():\n            set_default_keyvalue(k, v, config)\n        if not config['min_points_in_model']:\n            config['min_points_in_model'] = None\n        # hyperband related parameters\n        for k, v in SH_DEFAULT.items():\n            set_default_keyvalue(k, v, config)\n        # Hyperband related settings - modified from hpbandster/optimizers/bohb.py\n        self.eta = config['eta']\n        self.min_budget = config['min_budget']\n        self.max_budget = config['max_budget']\n        self.max_SH_iter = -int(np.log(self.min_budget / self.max_budget) / np.log(self.eta)) + 1\n        self.budgets = self.max_budget * np.power(self.eta, -np.linspace(self.max_SH_iter - 1, 0, self.max_SH_iter))\n        self.n_iterations = config['n_iterations']\n\n        self.nSamples = self._get_nSample()\n        bohb_config = {k: config[k] for k in BOHB_DEFAULT}\n        configspace = self.create_configspace(config['parameter_config'])\n\n        self.config_generator = BOHB(configspace, **bohb_config)\n\n        ## Based on master.py\n        self.iterations = []\n        self.running_jobs = {}\n\n    def get_param(self):\n        \"\"\"\n        Get the next hyperparameter values, return None when experiment is finished.\n        :return: hyperparameters in dictionary\n        \"\"\"\n        while True:\n            next_run = None\n            for i in self.active_iterations():\n                next_run = self.iterations[i].get_next_run()\n                if next_run is not None:\n                    break\n\n            if next_run is not None:\n                logger.debug(\"new hyperparameters %s\" % (next_run,))\n                break\n            else:\n                if self.n_iterations > 0:\n                    logger.debug(\"create new iteration for %d\" % self.n_iterations)\n                    self.iterations.append(self.get_next_iteration(len(self.iterations)))\n                    self.n_iterations -= 1\n                else:\n                    self.set_status(ProposerStatus.FINISHED)\n                    return None\n\n        config_id, config, budget = next_run\n        job = Job(config_id, config=config, budget=budget)\n        job.time_it(\"started\")\n        self.running_jobs[self.tid] = job\n        config = config.copy()\n        config['tid'] = self.tid\n        config['n_iterations'] = budget  # for job execution\n        self.tid += 1\n        return config\n\n    def update(self, score, job):\n        \"\"\"\n        Wrap result and transfer to HpBandSter\n        :param score: result\n        :param job: job contains job id for configuration matching\n        \"\"\"\n        i = job.config['tid']\n        job = self.running_jobs[i]\n        job.time_it(\"finished\")\n        job.result = {'loss': score * self.target}\n        self.iterations[job.id[0]].register_result(job)\n        self.config_generator.new_result(job)\n        del self.running_jobs[i]\n\n    def failed(self, job):\n        \"\"\"\n        Failed jobs unsupported by BOHB Proposer.\n\n        :param job: Failed job, containing job id\n        :type job: Job\n        \"\"\"\n        super().failed(job)\n        raise NotImplementedError(\"BOHBProposer does not support failed jobs\")\n\n    def get_next_iteration(self, iteration, iteration_kwargs={}):\n        \"\"\" Copied from https://github.com/automl/HpBandSter/blob/master/hpbandster/optimizers/bohb.py\n        \"\"\"\n        s = self.max_SH_iter - 1 - (iteration % self.max_SH_iter)\n        n0 = int(np.floor(self.max_SH_iter / (s + 1)) * self.eta ** s)\n        ns = [max(int(n0 * (self.eta ** (-i))), 1) for i in range(s + 1)]\n        return (SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=self.budgets[(-s - 1):],\n                                  config_sampler=self.config_generator.get_config, **iteration_kwargs))\n\n    def _get_nSample(self):\n        nSamples = 0\n        for iteration in range(self.n_iterations):\n            s = self.max_SH_iter - 1 - (iteration % self.max_SH_iter)\n            n0 = int(np.floor(self.max_SH_iter / (s + 1)) * self.eta ** s)\n            ns = [max(int(n0 * (self.eta ** (-i))), 1) for i in range(s + 1)]\n            nSamples += sum(ns)\n        logger.debug(\"total exp %d:\" % nSamples)\n        return nSamples\n\n    @staticmethod\n    def create_configspace(parameter_config):\n        \"\"\"\n        Wrap the Worker's get_configspace() function for HpBandSter interface\n        \"\"\"\n        cs = CS.ConfigurationSpace()\n        params = []\n        for config in parameter_config:\n            p = AbstractProposer.parse_param_config(config)\n            if p['type'] == 'choice':\n                param = CS.CategoricalHyperparameter(p['name'], choices=p['range'])\n            else:  # for int or float\n                param = dict(name=p['name'])\n                param['lower'], param['upper'] = min(p['range']), max(p['range'])\n                if p['type'] == 'int':\n                    param = CS.UniformIntegerHyperparameter(**param)\n                else:\n                    param = CS.UniformFloatHyperparameter(**param)\n            params.append(param)\n        cs.add_hyperparameters(params)\n        return cs\n\n    @staticmethod\n    def setup_config():  # pragma: no cover\n        config = dict()\n        for k, v in BOHB_DEFAULT.items():\n            if k == \"min_points_in_model\":\n                config[k] = input(\"%s [%s]:\" % (k, v))\n                if config[k]:\n                    config[k] = int(config[k])\n            else:\n                config[k] = type(v)(input(\"%s [%s]:\" % (k, v)) or v)\n        for k, v in SH_DEFAULT.items():\n            config[k] = type(v)(input(\"%s [%s]:\" % (k, v)) or v)\n        config.update(AbstractProposer.setup_config())\n        return config\n\n    def active_iterations(self):  # pragma: no cover\n        \"\"\"\n        Based on :func:`hpbandster.core.master.Master.active_iterations`.\n        \"\"\"\n        return list(filter(lambda idx: not self.iterations[idx].is_finished, range(len(self.iterations))))\n\n    def save(self, path):\n        msg = \"Save and restore not supported yet\"\n        logger.fatal(msg)\n        raise NotImplementedError(msg)\n\n    def reload(self, path):\n        msg = \"Save and restore not supported yet\"\n        logger.fatal(msg)\n        raise NotImplementedError(msg)"
  },
  {
    "path": "src/aup/Proposer/EASProposer.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\naup.Proposer.EASProposer\n========================\n\nThe code is based on `Efficient Architecture Search by Network Transformation, github commit 6ef7229 <https://github.com/han-cai/EAS>`_.\n\nSee `license <https://github.com/han-cai/EAS/blob/master/LICENSE>`_ for redistribution.\n\nConfiguration\n-------------\n\nGeneral parameters\n~~~~~~~~~~~~~~~~~~\n\n============= ============== ========================================\nName          Default value  Explanation\n============= ============== ========================================\nproposer      eas            Efficient Architecture Search\n============= ============== ========================================\n\n\nThe Proposer demonstrates how to integrate Neural Architecture Search based approaches with *Auptimizer*.\n\nFor other purpose, users need to modify this file with the following steps.\nThe ``init`` function is used to initialize the parameters and static values for the algorithm.\nThe ``get_param`` function uses the ``setup`` function to get different strings representing new NAS architectures based on previous architectures and their performance. A similar paradigm can be adopted for integrating other NAS based algorithms with *Auptimizer*.\n\n\"\"\"\nimport re\nimport numpy as np\n\nimport logging\nlogger = logging.getLogger(__name__)\n\ntry:\n    from .AbstractProposer import AbstractProposer\n    from .eas.arch_search import arch_search_convnet_net2net\nexcept ImportError as e:\n    logger.critical(\"Error happend during importing. Check 3rd party package dependency\")\n    print(e)\n\nclass EASProposer(AbstractProposer):\n\n    def get_net_str(self, net_configs):\n        if isinstance(net_configs, list):\n            if len(net_configs) == 1:\n                net_config = net_configs[0]\n                net_str = []\n                for layer in net_config.layer_cascade.layers[:-1]:\n                    if isinstance(layer, arch_search_convnet_net2net.ConvLayer):\n                        net_str.append('conv-%d-%d' % (layer.filter_num, layer.kernel_size))\n                    elif isinstance(layer, arch_search_convnet_net2net.FCLayer):\n                        net_str.append('fc-%d' % layer.units)\n                    else:\n                        net_str.append('pool')\n                return ['_'.join(net_str)]\n            else:\n                net_str_list = []\n                for net_config in net_configs:\n                    net_str_list += arch_search_convnet_net2net.get_net_str([net_config])\n                return net_str_list\n        else:\n            return arch_search_convnet_net2net.get_net_str([net_configs])[0]\n\n    def get_net_seq(net_configs, vocabulary, num_steps):\n        net_str_list = arch_search_convnet_net2net.get_net_str(net_configs)\n        net_seq = []\n        seq_len = []\n        for net_str in net_str_list:\n            net_str = re.split('_', net_str)\n            net_code = vocabulary.get_code(net_str)\n            _len = len(net_code)\n            net_code += [vocabulary.pad_code for _ in range(len(net_code), num_steps)]\n            net_seq.append(net_code)\n            seq_len.append(_len)\n        return arch_search_convnet_net2net.np.array(net_seq), arch_search_convnet_net2net.np.array(seq_len)\n\n    def get_block_layer_num(net_configs):\n        if len(net_configs) == 1:\n            net_config = net_configs[0]\n            block_layer_num = []\n            _count = 0\n            for layer in net_config.layer_cascade.layers[:-1]:\n                if isinstance(layer, arch_search_convnet_net2net.PoolLayer):\n                    block_layer_num.append(_count)\n                    _count = 0\n                else:\n                    _count += 1\n            block_layer_num.append(_count)\n            return arch_search_convnet_net2net.np.array([block_layer_num])\n        else:\n            block_layer_num = []\n            for net_config in net_configs:\n                block_layer_num.append(arch_search_convnet_net2net.get_block_layer_num([net_config]))\n            return arch_search_convnet_net2net.np.concatenate(block_layer_num, axis=0)\n\n    def apply_wider_decision(wider_decision, net_configs, filter_num_list, units_num_list, noise):\n        if len(net_configs) == 1:\n            decision = wider_decision[0]\n            net_config = net_configs[0]\n            decision_mask = []\n            for _i, layer in enumerate(net_config.layer_cascade.layers[:-1]):\n                if isinstance(layer, arch_search_convnet_net2net.ConvLayer):\n                    if layer.filter_num >= filter_num_list[-1]:\n                        decision_mask.append(0.0)\n                    else:\n                        decision_mask.append(1.0)\n                        if decision[_i]:\n                            new_filter_number = layer.filter_num\n                            for fn in filter_num_list:\n                                if fn > new_filter_number:\n                                    new_filter_number = fn\n                                    break\n                            net_config.widen(\n                                layer_idx=_i, new_width=new_filter_number, noise=noise\n                            )\n                elif isinstance(layer, arch_search_convnet_net2net.FCLayer):\n                    if layer.units >= units_num_list[-1]:\n                        decision_mask.append(0.0)\n                    else:\n                        decision_mask.append(1.0)\n                        if decision[_i]:\n                            new_units_num = layer.units\n                            for un in units_num_list:\n                                if un > new_units_num:\n                                    new_units_num = un\n                                    break\n                            net_config.widen(\n                                layer_idx=_i, new_width=new_units_num, noise=noise,\n                            )\n                else:\n                    decision_mask.append(0.0)\n            decision_mask += [0.0] * (len(decision) - len(decision_mask))\n            return arch_search_convnet_net2net.np.array([decision_mask])\n        else:\n            decision_mask = []\n            for _i, net_config in enumerate(net_configs):\n                decision = wider_decision[_i]\n                mask = arch_search_convnet_net2net.apply_wider_decision([decision], [net_config], filter_num_list,\n                                                                        units_num_list, noise)\n                decision_mask.append(mask)\n            return arch_search_convnet_net2net.np.concatenate(decision_mask, axis=0)\n\n    def apply_deeper_decision(deeper_decision, net_configs, kernel_size_list, noise):\n        if len(net_configs) == 1:\n            decision = deeper_decision[0]\n            net_config = net_configs[0]\n\n            block_decision, layer_idx_decision, ks_decision = decision\n            decision_mask = [1.0, 1.0]\n            block_idx, _pt = 0, 0\n            to_set_layers = []\n            for _i, layer in enumerate(net_config.layer_cascade.layers[:-1]):\n                if _pt == block_decision:\n                    real_layer_idx = _i + layer_idx_decision\n                    prev_layer = net_config.layer_cascade.layers[real_layer_idx]\n                    if isinstance(prev_layer, arch_search_convnet_net2net.ConvLayer):\n                        if 'conv' in net_config.drop_scheme['type']:\n                            keep_prob = net_config.drop_scheme.get('conv_drop', 1.0)\n                        else:\n                            keep_prob = 1.0\n                        decision_mask.append(1.0)\n                        ks = kernel_size_list[ks_decision]\n                        new_layer, prev_layer = net_config.deepen(\n                            layer_idx=real_layer_idx,\n                            new_layer_config={'name': 'conv', 'kernel_size': ks, 'pre_activation': False,\n                                              'keep_prob': keep_prob},\n                        )\n                        to_set_layers.append([new_layer, prev_layer])\n                    elif isinstance(prev_layer, arch_search_convnet_net2net.FCLayer):\n                        if 'fc' in net_config.drop_scheme['type']:\n                            keep_prob = net_config.drop_scheme.get('fc_drop', 1.0)\n                        else:\n                            keep_prob = 1.0\n                        decision_mask.append(0.0)\n                        new_layer, prev_layer = net_config.deepen(\n                            layer_idx=real_layer_idx,\n                            new_layer_config={'name': 'fc', 'keep_prob': keep_prob},\n                        )\n                        to_set_layers.append([new_layer, prev_layer])\n                    else:\n                        raise ValueError\n                    break\n                if isinstance(layer, arch_search_convnet_net2net.PoolLayer):\n                    _pt += 1\n            return arch_search_convnet_net2net.np.array([decision_mask]), to_set_layers\n        else:\n            decision_mask = []\n            to_set_layers = []\n            for _i, net_config in enumerate(net_configs):\n                decision = deeper_decision[_i]\n                mask, to_set = arch_search_convnet_net2net.apply_deeper_decision([decision], [net_config],\n                                                                                 kernel_size_list, noise)\n                decision_mask.append(mask)\n                to_set_layers.append(to_set)\n            return arch_search_convnet_net2net.np.concatenate(decision_mask, axis=0), to_set_layers\n\n    def __init__(self, config):\n        super().__init__(config)\n        self.start_net_path = '../start_nets/start_net_convnet_small_C10+'\n        self.arch_search_folder = '../arch_search/Convnet/C10+/Conv_C10+_rl_small'\n        self.net_pool_folder = '../net_pool/Convnet/C10+/Conv_C10+_rl_small'\n        self.max_episodes = 3  # changed from 15\n        self.random = False\n        self.exp_list = []\n        self.idx_to_task = {}\n        self.episode_batches = 3\n        self.nSamples = self.max_episodes * self.episode_batches\n        self.finished_tasks = 0\n        self.results = {}\n\n        self.filter_num_list = [_i for _i in range(4, 44, 4)]\n        self.units_num_list = [_i for _i in range(8, 88, 8)]\n        # filter_num_list = [16, 32, 64, 96, 128, 192, 256, 320, 384, 448, 512, 576, 640]\n        # units_num_list = [64, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280]\n        self.kernel_size_list = [1, 3, 5]\n\n        # encoder config\n        self.layer_token_list = ['conv-%d-%d' % (f, k) for f in self.filter_num_list for k in [1, 3, 5]]\n        self.layer_token_list += ['fc-%d' % u for u in self.units_num_list] + ['pool']\n        self.encoder_config = {\n            'num_steps': 50,\n            'vocab': arch_search_convnet_net2net.Vocabulary(self.layer_token_list),\n            'embedding_dim': 16,\n            'rnn_units': 50,\n            'rnn_type': 'bi_lstm',\n            'rnn_layers': 1,\n        }\n\n        # wider actor config\n        self.wider_actor_config = {\n            'out_dim': 1,\n            'num_steps': self.encoder_config['num_steps'],\n            'net_type': 'simple',\n            'net_config': None,\n        }\n\n        # deeper actor config\n        self.deeper_actor_config = {\n            'decision_num': 3,\n            'out_dims': [5, 10, len(self.kernel_size_list)],\n            'embedding_dim': self.encoder_config['embedding_dim'],\n            'cell_type': 'lstm',\n            'rnn_layers': 1,\n            'attention_config': None,\n        }\n\n        # meta-controller config\n        self.entropy_penalty = 1e-5\n        self.learning_rate = 2e-3\n        self.opt_config = ['adam', {}]\n\n        # net2net noise config\n        self.noise_config = {\n            'wider': {'type': 'normal', 'ratio': 1e-2},\n            'deeper': {'type': 'normal', 'ratio': 1e-3},\n        }\n\n        # episode config\n        self.episode_config = {\n            'batch_size': self.episode_batches,\n            'wider_action_num': 4,\n            'deeper_action_num': 5,\n        }\n\n        # arch search run config\n        self.arch_search_run_config = {\n            'n_epochs': 20,\n            'init_lr': 0.02,\n            'validation_size': 5000,\n            'other_lr_schedule': {'type': 'cosine'},\n            'batch_size': 64,\n            'include_extra': False,\n        }\n\n        # reward config\n        self.reward_config = {\n            'func': 'tan',\n            'decay': 0.95,\n        }\n\n        self.arch_manager = arch_search_convnet_net2net.ArchManager(self.start_net_path, self.arch_search_folder,\n                                                                    self.net_pool_folder)\n        _, self.run_config, _ = self.arch_manager.get_start_net()\n        self.run_config.update(self.arch_search_run_config)\n\n        self.encoder = arch_search_convnet_net2net.EncoderNet(**self.encoder_config)\n        self.wider_actor = arch_search_convnet_net2net.WiderActorNet(**self.wider_actor_config)\n        self.deeper_actor = arch_search_convnet_net2net.DeeperActorNet(**self.deeper_actor_config)\n        self.meta_controller = arch_search_convnet_net2net.ReinforceNet2NetController(\n            self.arch_manager.meta_controller_path, self.entropy_penalty,\n            self.encoder, self.wider_actor, self.deeper_actor, self.opt_config)\n        self.meta_controller.load()\n\n        self.episode = 0\n\n        logger.info(\"Finishing init\")\n\n        self.setup()\n\n    def setup(self):\n\n        logger.info('episode. %d start. current time: %s' % (self.episode,\n                                                       arch_search_convnet_net2net.strftime(\"%a, %d %b %Y %H:%M:%S\",\n                                                                                            arch_search_convnet_net2net.gmtime())))\n        start_time = arch_search_convnet_net2net.time()\n\n        self.nets = [self.arch_manager.get_start_net(copy=True) for _ in range(self.episode_config['batch_size'])]\n        self.net_configs = [net_config for net_config, _, _ in self.nets]\n        logger.info(self.net_configs)\n        # feed_dict for update the controller\n        self.wider_decision_trajectory, self.wider_decision_mask = [], []\n        self.deeper_decision_trajectory, self.deeper_decision_mask = [], []\n        self.deeper_block_layer_num = []\n        self.encoder_input_seq, self.encoder_seq_len = [], []\n        self.wider_seg_deeper = 0\n        if self.random:\n            # random search\n            self.remain_wider_num = self.episode_config['wider_action_num']\n            self.remain_deeper_num = self.episode_config['deeper_action_num']\n            while self.remain_wider_num > 0 or self.remain_deeper_num > 0:\n                self.rand_idx = arch_search_convnet_net2net.np.random.randint(0,\n                                                                              self.remain_wider_num + self.remain_deeper_num)\n                if self.rand_idx < self.remain_wider_num:\n                    self.wider_decision = arch_search_convnet_net2net.np.random.choice(2, [\n                        self.episode_config['batch_size'], self.encoder.num_steps])\n                    self.arch_search_convnet_net2net.apply_wider_decision(self.wider_decision, self.net_configs,\n                                                                          self.filter_num_list, self.units_num_list,\n                                                                          self.noise_config)\n                    self.remain_wider_num -= 1\n                else:\n                    self.block_layer_num = arch_search_convnet_net2net.get_block_layer_num(self.net_configs)\n                    self.deeper_decision = arch_search_convnet_net2net.np.zeros(\n                        [self.episode_config['batch_size'], self.deeper_actor.decision_num],\n                        arch_search_convnet_net2net.np.int)\n                    self.deeper_decision[:, 0] = arch_search_convnet_net2net.np.random.choice(\n                        self.deeper_actor.out_dims[0], self.deeper_decision[:, 0].shape)\n                    for _k, block_decision in enumerate(self.deeper_decision[:, 0]):\n                        available_layer_num = self.block_layer_num[_k, block_decision]\n                        self.deeper_decision[_k, 1] = arch_search_convnet_net2net.np.random.randint(0,\n                                                                                                    available_layer_num)\n                        self.deeper_decision[:, 2] = arch_search_convnet_net2net.np.random.choice(\n                            self.deeper_actor.out_dims[2], self.deeper_decision[:, 2].shape)\n\n                    _, to_set_layers = arch_search_convnet_net2net.apply_deeper_decision(self.deeper_decision,\n                                                                                         self.net_configs,\n                                                                                         self.kernel_size_list,\n                                                                                         self.noise_config)\n                    for _k, net_config in enumerate(self.net_configs):\n                        net_config.set_identity4deepen(to_set_layers[_k], self.arch_manager.data_provider,\n                                                       batch_size=64, batch_num=1, noise=self.noise_config)\n                    self.remain_deeper_num -= 1\n        else:\n            # on-policy training\n            for _j in range(self.episode_config['wider_action_num']):\n                self.input_seq, self.seq_len = arch_search_convnet_net2net.get_net_seq(self.net_configs,\n                                                                                       self.encoder.vocab,\n                                                                                       self.encoder.num_steps)\n                self.wider_decision, self.wider_probs = self.meta_controller.sample_wider_decision(self.input_seq,\n                                                                                                   self.seq_len)\n                # modify net config according to wider_decision\n                self.wider_mask = arch_search_convnet_net2net.apply_wider_decision(self.wider_decision,\n                                                                                   self.net_configs,\n                                                                                   self.filter_num_list,\n                                                                                   self.units_num_list,\n                                                                                   self.noise_config)\n\n                self.wider_decision_trajectory.append(self.wider_decision)\n                self.wider_decision_mask.append(self.wider_mask)\n                self.wider_seg_deeper += len(self.net_configs)\n                self.encoder_input_seq.append(self.input_seq)\n                self.encoder_seq_len.append(self.seq_len)\n\n            self.to_set_layers = [[] for _ in range(self.episode_config['batch_size'])]\n            for _j in range(self.episode_config['deeper_action_num']):\n                self.input_seq, self.seq_len = arch_search_convnet_net2net.get_net_seq(self.net_configs,\n                                                                                       self.encoder.vocab,\n                                                                                       self.encoder.num_steps)\n                self.block_layer_num = arch_search_convnet_net2net.get_block_layer_num(self.net_configs)\n                self.deeper_decision, self.deeper_probs = self.meta_controller.sample_deeper_decision(self.input_seq,\n                                                                                                      self.seq_len,\n                                                                                                      self.block_layer_num)\n                # modify net config according to deeper_decision\n                self.deeper_mask, self.to_set = arch_search_convnet_net2net.apply_deeper_decision(self.deeper_decision,\n                                                                                                  self.net_configs,\n                                                                                                  self.kernel_size_list,\n                                                                                                  self.noise_config)\n                for _k in range(self.episode_config['batch_size']):\n                    self.to_set_layers[_k] += self.to_set[_k]\n\n                self.deeper_decision_trajectory.append(self.deeper_decision)\n                self.deeper_decision_mask.append(self.deeper_mask)\n                self.deeper_block_layer_num.append(self.block_layer_num)\n                self.encoder_input_seq.append(self.input_seq)\n                self.encoder_seq_len.append(self.seq_len)\n\n            for _k, self.net_config in enumerate(self.net_configs):\n                self.net_config.set_identity4deepen(self.to_set_layers[_k], self.arch_manager.data_provider,\n                                                    batch_size=64, batch_num=1, noise=self.noise_config)\n            # prepare feed dict\n            self.encoder_input_seq = arch_search_convnet_net2net.np.concatenate(self.encoder_input_seq, axis=0)\n            self.encoder_seq_len = arch_search_convnet_net2net.np.concatenate(self.encoder_seq_len, axis=0)\n            if self.episode_config['wider_action_num'] > 0:\n                self.wider_decision_trajectory = arch_search_convnet_net2net.np.concatenate(\n                    self.wider_decision_trajectory, axis=0)\n                self.wider_decision_mask = arch_search_convnet_net2net.np.concatenate(self.wider_decision_mask, axis=0)\n            else:\n                self.wider_decision_trajectory = -arch_search_convnet_net2net.np.ones(\n                    [1, self.meta_controller.encoder.num_steps])\n                self.wider_decision_mask = -arch_search_convnet_net2net.np.ones(\n                    [1, self.meta_controller.encoder.num_steps])\n            if self.episode_config['deeper_action_num'] > 0:\n                self.deeper_decision_trajectory = arch_search_convnet_net2net.np.concatenate(\n                    self.deeper_decision_trajectory, axis=0)\n                self.deeper_decision_mask = arch_search_convnet_net2net.np.concatenate(self.deeper_decision_mask,\n                                                                                       axis=0)\n                self.deeper_block_layer_num = arch_search_convnet_net2net.np.concatenate(self.deeper_block_layer_num,\n                                                                                         axis=0)\n            else:\n                self.deeper_decision_trajectory = - arch_search_convnet_net2net.np.ones(\n                    [1, self.meta_controller.deeper_actor.decision_num])\n                self.deeper_decision_mask = - arch_search_convnet_net2net.np.ones(\n                    [1, self.meta_controller.deeper_actor.decision_num])\n                self.deeper_block_layer_num = arch_search_convnet_net2net.np.ones(\n                    [1, self.meta_controller.deeper_actor.out_dims[0]])\n\n        self.run_configs = [self.run_config] * len(self.net_configs)\n\n        self.net_str_list = self.get_net_str(self.net_configs)\n\n        tasks = self.arch_manager.get_net_tasks(self.net_str_list, self.net_configs, self.run_configs)\n        self.idx_to_task = {}\n        self.exp_list = []\n        for task in tasks:\n            self.idx_to_task[task[0]] = task[1][0]\n            self.exp_list.append(task[0])\n\n    def get_param(self, **kwargs):\n\n        if (self.finished_tasks != self.episode_batches and len(self.exp_list) == 0):\n            return None\n\n        if (self.finished_tasks == self.episode_batches and len(self.exp_list) == 0):\n\n            logger.info(\"finished episode\" + str(self.episode))\n            net_val_list = [-1] * len(self.net_str_list)\n            logger.info(self.results)\n            logger.info(self.idx_to_task)\n            for folder in self.idx_to_task.keys():\n                net_val_list[self.idx_to_task[folder]] = self.results[folder]\n            rewards = self.arch_manager.reward(net_val_list, self.reward_config)\n            rewards = np.concatenate([rewards for _ in range(self.episode_config['wider_action_num'] +\n                                                             self.episode_config['deeper_action_num'])])\n            rewards /= self.episode_config['batch_size']\n            # update the agent\n            if not self.random:\n                self.meta_controller.update_controller(self.learning_rate, self.wider_seg_deeper,\n                                                       self.wider_decision_trajectory,\n                                                       self.wider_decision_mask, self.deeper_decision_trajectory,\n                                                       self.deeper_decision_mask,\n                                                       rewards, self.deeper_block_layer_num, self.encoder_input_seq,\n                                                       self.encoder_seq_len)\n\n                self.meta_controller.save()\n            self.episode += 1\n\n            self.exp_list = []\n            self.idx_to_task = {}\n            self.finished_tasks = 0\n            self.results = {}\n\n            if (self.episode == self.max_episodes):\n                raise Exception(\"Exceeded Max Episodes\")\n            self.setup()\n\n            logger.info(\"Starting Episode \" + str(self.episode))\n\n        logger.debug(\"***********************Exp_list*****************\")\n        logger.debug(self.exp_list)\n        logger.debug(\"***********************Fin_list*****************\")\n        logger.debug(self.finished_tasks)\n        logger.debug(\"************************************************\")\n        logger.info(\"Starting Task\")\n        task = self.exp_list.pop()\n\n        return {\"expdir\": task}\n\n    def update(self, score, job):\n        # super().update(score, job)\n        logger.debug(score)\n        logger.debug(job.config)\n        logger.debug(job.script)\n        logger.debug(\"************************************************\")\n        self.finished_tasks += 1\n        self.results[job.config[\"folderpath\"]] = score\n\n    def failed(self, job):\n        super().failed(job)\n        raise NotImplementedError(\"EASProposer does not support failed jobs\")\n\n    def save(self, path):\n        msg = \"Save and restore not supported yet\"\n        logger.fatal(msg)\n        raise NotImplementedError(msg)\n\n    def reload(self, path):\n        msg = \"Save and restore not supported yet\"\n        logger.fatal(msg)\n        raise NotImplementedError(msg)\n"
  },
  {
    "path": "src/aup/Proposer/HyperbandProposer.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n  \naup.Proposer.HyperbandProposer\n==============================\n\nThe code is based on `hyperband github commit a632209 <https://github.com/zygmuntz/hyperband>`_.\n\nSee `license <https://github.com/zygmuntz/hyperband/blob/master/LICENSE>`_ for redistribution.\n\nConfiguration\n-------------\n\nGeneral parameters\n~~~~~~~~~~~~~~~~~~\n\n============= ============== ========================================\nName          Default value  Explanation\n============= ============== ========================================\nproposer      -              hyperband\nrandom_seed   0              [Optional] seed for random generator\nmax_iter      81             Max iterations (e.g. epochs) per configuration\neta           3              downsampling rate, choose 3 for training from scratch\nskip_last     0              whether skip last element\nengine        random         engine to generate configurations for hyperband\n============= ============== ========================================\n\nSpecific parameters for ``parameter_config``\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n======= ==========================================================================\nName    Explanation\n======= ==========================================================================\nname    name of the variable, will be used in the job config, i.e. training code\ntype    type of the parameter to be sampled: choose from \"float\",\"int\",\"choice\"\nrange   range of the parameter.  For \"choice\", list all the feasible values\n======= ==========================================================================\n\n\nIn the returned job_config, it has ``n_iterations`` and ``tid`` for tracking the HPO process.\n``n_iterations`` marks how much resource should be allocated for this round of training (e.g. epochs);\n``tid`` is used to recover the previous trained model if needed (i.e. finetune)\n\nAPIs\n----\n\"\"\"\nimport logging\nimport random\nfrom math import log, ceil\n\nfrom six.moves import input\n\nfrom aup.Proposer import get_proposer\nfrom .AbstractProposer import AbstractProposer\nfrom ..utils import set_default_keyvalue, get_from_options\n\nlogger = logging.getLogger(__name__)\n\n\nclass HyperbandProposer(AbstractProposer):\n    def __init__(self, config):\n        super(HyperbandProposer, self).__init__(config)\n        self.verify_config(config)\n        self.target = -1 if config[\"target\"] == \"max\" else 1\n        self.max_iter = config[\"max_iter\"]\n        self.eta = config[\"eta\"]\n        self.skip_last = config[\"skip_last\"]\n        self.s_max = int(log(self.max_iter)/log(self.eta))\n        self.B = (self.s_max+1)*self.max_iter\n\n        self.results = []\n\n        self.best_counter = -1\n        self.s = self.s_max+1\n        self.config = config\n\n        self.nSamples = 0\n        for s in reversed(range(self.s_max + 1)):\n            self.nSamples += int(ceil(self.B / self.max_iter / (s + 1) * self.eta ** s))\n        logger.info(\"Total number of samples is %d\"%self.nSamples)\n        set_default_keyvalue(\"random_seed\", 0, config)\n        random.seed(config[\"random_seed\"])\n        self.t = 0\n        self.i = 0\n        self.n = 0\n        self.test_set = []\n        self.r = 0\n        self.n_configs = 0\n        self.n_iterations = 0\n        self.scores = {}\n        self.setup(self.s_max)\n\n    def setup(self, s):\n        # Follow the hyperband paper, set up internal variables based on s_max\n        self.s = s\n        self.n = int(ceil(self.B / self.max_iter / (s + 1) * self.eta ** s))\n        self.r = self.max_iter * self.eta ** (-s)\n        gen_config = self.config.copy()\n        gen_config[\"n_samples\"] = self.n\n        gen_config[\"random_seed\"] = random.randint(0, 100)\n        gen_config[\"proposer\"] = gen_config[\"engine\"]\n        proposer = get_proposer(gen_config['proposer'])(gen_config)\n        self.test_set = [proposer.get for _ in range(self.n)]\n        self.t = 0\n        self.i = 0\n        self.n_configs = self.n * self.eta ** (-self.i)\n        self.n_iterations = self.r * self.eta ** self.i\n\n    def verify_config(self, config):\n        for i in config[\"parameter_config\"]:\n            if i['name'] == \"tid\":\n                msg = \"`tid` is reserved for Hyperband\"\n                logger.fatal(msg)\n                raise KeyError(msg)\n        set_default_keyvalue(\"max_iter\", 81, config, log=logger)\n        set_default_keyvalue(\"eta\", 3, config, log=logger)\n        set_default_keyvalue(\"skip_last\", 0, config, log=logger)\n        set_default_keyvalue(\"engine\", \"random\", config, log=logger)\n\n    def get_param(self):\n        if self.t == len(self.test_set):\n            if len(self.scores) != self.t:\n                self.current_proposal = None\n                return None\n            tids = sorted(self.scores, key=self.scores.get)\n            tids = tids[0:int(self.n_configs / self.eta)]\n            self.test_set = [self.test_set[i] for i in tids]\n            self.scores = {}\n            self.i += 1\n            self.t = 0\n            self.n_configs = self.n * self.eta ** (-self.i)\n            self.n_iterations = self.r * self.eta ** self.i\n\n        if self.i == (self.s+1-int(self.skip_last)):\n            self.i = 0\n            self.setup(self.s-1)\n            logger.debug(\"\\n*** {} configurations x {:.1f} iterations each\".format(\n                self.n_configs, self.n_iterations))\n\n        if type(self.test_set[self.t]) != dict:\n            self.test_set[self.t] = self.test_set[self.t]()\n        self.test_set[self.t]['tid'] = self.t\n        self.test_set[self.t][\"n_iterations\"] = self.n_iterations\n\n        self.t += 1\n        return self.test_set[self.t-1]  # return parameter configuration\n\n    def update(self, score, job):\n        self.scores[job.config[\"tid\"]] = score * self.target\n\n    def failed(self, job):\n        super(HyperbandProposer, self).failed(job)\n        raise NotImplementedError(\"HyperbandProposer does not support failed jobs\")\n\n    def save(self, path):\n        msg = \"Save and restore not supported yet\"\n        logger.fatal(msg)\n        raise NotImplementedError(msg)\n\n    def reload(self, path):\n        msg = \"Save and restore not supported yet\"\n        logger.fatal(msg)\n        raise NotImplementedError(msg)\n\n    @staticmethod\n    def setup_config():  # pragma: no cover\n        config = dict()\n        config['max_iter'] = int(input(\"max iteration [81]:\") or 81)\n        config['eta'] = int(input(\"ita [3]\") or 3)\n        config[\"skip_last\"] = int(input(\"skip last [0]\") or '0')\n        config[\"engine\"] = get_from_options(\"Hyperparameter sampling engine\", [\"random\", \"sequence\"])\n        config.update(get_proposer(config['engine']).setup_config())\n        return config\n"
  },
  {
    "path": "src/aup/Proposer/HyperoptProposer.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n  \naup.Proposer.HyperoptProposer\n=============================\n\n\nThis is converted from `Hyperopt repo commit 762e89f <https://github.com/hyperopt/hyperopt>`_\n\nConfiguration\n-------------\n\nGeneral parameters\n~~~~~~~~~~~~~~~~~~\n============= ============== ========================================\nName          Default value  Explanation\n============= ============== ========================================\nproposer      -              hyperopt\nrandom_seed   0              [Optional] seed for random generator\nengine        tpe            engine to generate configurations for HyperOpt\nn_samples     -              max_evals in hyperopt\n============= ============== ========================================\n\nSpecific parameters for ``parameter_config``\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n======= ==========================================================================\nName    Explanation\n======= ==========================================================================\nname    name of the variable, will be used in the job config, i.e. training code\ntype    type of the parameter to be sampled: choose from \"float\",\"int\",\"choice\"\nrange   range of the parameter.  For \"choice\", list all the feasible values\n======= ==========================================================================\n\nAPIs\n----\n\"\"\"\nimport importlib\nimport logging\n\nimport numpy as np\nfrom six.moves import input\n\nfrom .AbstractProposer import AbstractProposer\nfrom .hyperopt import hp, base\nfrom .hyperopt.utils import coarse_utcnow\nfrom ..utils import set_default_keyvalue, check_missing_key, get_from_options\n\nlogger = logging.getLogger(__name__)\n\n\ndef _get_algo(engine):\n    module = importlib.import_module(\".hyperopt.%s\" % engine, \"aup.Proposer\")\n    return module.suggest\n\n\ndef _convert(param_config):\n    d = {}\n    for param in param_config:\n        if param['type'] == 'int':\n            d[param['name']] = hp.randint(param['name'], param['range'][1] - param['range'][0])\n            # hyperopt doesn't support [low, high] for int\n        elif param['type'] == 'float':\n            if len(param['range']) != 2:\n                raise ValueError(\"HyperOpt: range for float only has two numbers, you have %d\"%len(param['range']))\n            param['range'] = sorted(param['range'])\n            d[param['name']] = hp.uniform(param['name'], param['range'][0], param['range'][1])\n        elif param['type'] == 'choice':\n            d[param['name']] = hp.choice(param['name'], param['range'])\n        else:\n            msg = \"%s is not supported type, choose int, float, choice\" % param['type']\n            logger.fatal(msg)\n            raise KeyError(msg)\n    return d\n\n\nclass HyperoptProposer(AbstractProposer):\n\n    def __init__(self, config, random_seed=0):\n        super(HyperoptProposer, self).__init__(config)\n\n        set_default_keyvalue(\"engine\", \"tpe\", config, log=logger)\n        set_default_keyvalue(\"random_seed\", random_seed, config, log=logger)\n\n        self.target = -1 if config[\"target\"] == \"max\" else 1  # default is to minimize\n        self.verify_config(config)\n        self.nSamples = config[\"n_samples\"]\n        self.parameter_config = config[\"parameter_config\"]\n        self.space = _convert(self.parameter_config)\n        self.rstate = np.random.RandomState(config[\"random_seed\"])\n        self.domain = base.Domain(lambda x: logger.fatal(\"should not be run\"), self.space)\n        self.trials = base.Trials()\n        self.algo = _get_algo(config[\"engine\"])\n\n    @staticmethod\n    def setup_config():  # pragma: no cover\n        config = dict()\n        config['n_samples'] = int(input(\"number of model samples, `n_samples`, [1]:\") or 1)\n        config['random_seed'] = int(input(\"random seed, `random_seed`, [0]:\") or 0)\n        config['engine'] = get_from_options(\"search engine, `engine`\", ['tpe', 'random'])\n        config.update(AbstractProposer.setup_config())\n        return config\n\n    def get_param(self, **kwargs):\n        \"\"\"\n        Restructure of hyperopt.fmin `run()`, `serial_evaluate()`.\n        \"\"\"\n        new_ids = self.trials.new_trial_ids(1)  # only one config each time\n        trial = self.algo(new_ids, self.domain, self.trials, self.rstate.randint(2 ** 31 - 1))[0]\n\n        trial['state'] = base.JOB_STATE_RUNNING\n        now = coarse_utcnow()\n        trial['book_time'] = now\n        trial['refresh_time'] = now\n        spec = base.spec_from_misc(trial['misc'])\n\n        self.trials.insert_trial_docs([trial])\n        self.trials.refresh()\n\n        for param in self.parameter_config:\n            if param['type'] == \"int\":\n                spec[param['name']] = int(spec[param['name']] + param['range'][0])\n            if param['type'] == \"choice\":\n                spec[param['name']] = param['range'][spec[param['name']]]\n        spec['tid'] = trial['tid']\n        return spec\n\n    def reload(self, path):\n        super(HyperoptProposer, self).reload(path)\n        self.domain = base.Domain(lambda x: logger.fatal(\"should not be run\"), self.space)\n\n    def save(self, path):\n        del self.domain\n        super(HyperoptProposer, self).save(path)\n\n    def update(self, score, job):\n        \"\"\"\n        Restructure of hyperopt.fmin `serial_evaluation`.\n        \n        :param score: score returned from the training script\n        :param job: job object contains tid for hyperopt internal update\n        \"\"\"\n        super(HyperoptProposer, self).update(score, job)\n        tid = job.config['tid']\n        if score is not None:\n            result = {'loss': score * self.target, 'status': 'ok'}\n            state = base.JOB_STATE_DONE\n        else:\n            result = {'loss': None, 'status': 'fail'}\n            state = base.JOB_STATE_ERROR\n        for trial in self.trials._dynamic_trials:\n            if tid == trial['tid']:\n                trial['state'] = state\n                trial['result'] = result\n                trial['refresh_time'] = coarse_utcnow()\n                self.trials.refresh()\n                return\n        msg = \"Failed to locate job tid=%d\" % tid\n        logger.fatal(msg)\n        raise KeyError(msg)\n\n    def failed(self, job):\n        \"\"\"\n        Failed jobs unsupported by Hyperopt Proposer.\n\n        :param job: Failed job, containing job id\n        :type job: Job\n        \"\"\"\n        super(HyperoptProposer, self).failed(job)\n        self.update(None, job)\n\n    def verify_config(self, config):\n        check_missing_key(config, \"n_samples\", \"Specify number of samples to randomly draw\", log=logger)\n        for param in config[\"parameter_config\"]:\n            if \"tid\" in param[\"name\"]:\n                msg = \"Parameter `tid` is conflict with hyperopt internal control parameter, please change the name\"\n                logger.fatal(msg)\n                raise KeyError(msg)\n        return config\n"
  },
  {
    "path": "src/aup/Proposer/Hyperopt_LICENSE",
    "content": "LICENSE\n=======\n\nCopyright (c) 2013, James Bergstra\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n    * Redistributions of source code must retain the above copyright\n      notice, this list of conditions and the following disclaimer.\n    * Redistributions in binary form must reproduce the above copyright\n      notice, this list of conditions and the following disclaimer in the\n      documentation and/or other materials provided with the distribution.\n    * Neither the name of hyperopt nor the names of its contributors may be\n      used to endorse or promote products derived from this software without\n      specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ''AS IS'' AND ANY\nEXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\nWARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS BE LIABLE FOR ANY\nDIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\nLOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\nON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n"
  },
  {
    "path": "src/aup/Proposer/RandomProposer.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.Proposer.RandomProposer\n===========================\n\nRandom sampling of the parameters\n\nConfiguration\n-------------\n\nGeneral parameters\n~~~~~~~~~~~~~~~~~~\n\n============ ============= ========================================\nName         Default value Explanation\n============ ============= ========================================\nproposer     -             random\nn_samples    -             Total number of trials to sample\nrandom_seed  0             [Optional] seed for random generator\n============ ============= ========================================\n\nSpecific parameters for ``parameter_config``\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n======= ==========================================================================\nName    Explanation\n======= ==========================================================================\nname    name of the variable, will be used in the job config, i.e. training code\ntype    type of the parameter to be sampled: choose from \"float\",\"int\",\"choice\"\nrange   range of the parameter.  For \"choice\", list all the feasible values\n======= ==========================================================================\n\nAPIs\n----\n\"\"\"\nimport logging\n\nfrom numpy import random\nfrom six.moves import input\n\nfrom .AbstractProposer import AbstractProposer\nfrom ..utils import check_missing_key, set_default_keyvalue\n\nlogger = logging.getLogger(__name__)\n\n\ndef _random_int(x):\n    if len(x) != 2:\n        msg = (\"Range of random integer should have two elements, got %d\" % len(x))\n        logger.fatal(msg)\n        raise ValueError(msg)\n    return lambda: random.randint(x[0], x[1] + 1)\n\n\ndef _random_float(x):\n    if len(x) != 2:\n        msg = (\"Range of random float should have two elements, got %d\" % len(x))\n        logger.fatal(msg)\n        raise ValueError(msg)\n    return lambda: random.rand() * (x[1] - x[0]) + x[0]\n\n\ndef _random_choice(x):\n    if len(x) < 1:\n        msg = \"Range of random choice should have some elements, got nothing\"\n        logger.fatal(msg)\n        raise ValueError(msg)\n    return lambda: x[random.choice(len(x))]\n\n\n_random_fun = {\n    'int': _random_int,\n    'float': _random_float,\n    'choice': _random_choice\n}\n\n\nclass RandomProposer(AbstractProposer):\n    \"\"\"\n    Random proposer\n\n    :param config: experiment configuration contains the details searching space\n    :param random_seed: default random seed if not in config\n    \"\"\"\n\n    def __init__(self, config, random_seed=0):\n        super(RandomProposer, self).__init__(config)\n        self.verify_config(config)\n        self.nSamples = config[\"n_samples\"]\n        set_default_keyvalue(\"random_seed\", random_seed, config, log=logger)\n        random.seed(config[\"random_seed\"])\n        self.random_state = None  # for suspend and resume\n        self.params_gen = {}\n        for param in config[\"parameter_config\"]:\n            p = self.parse_param_config(param)\n            self.params_gen[p['name']] = _random_fun[p['type']](p['range'])\n\n    @staticmethod\n    def setup_config():  # pragma: no cover\n        \"\"\"\n        Set up experiment configuration\n        :return: experiment config in dict.\n        \"\"\"\n        config = dict()\n        config['n_samples'] = int(input(\"number of model samples to draw randomly, `n_samples`, [1]:\") or 1)\n        config['random_seed'] = int(input(\"random seed, `random_seed`, [0]:\") or 0)\n        config.update(AbstractProposer.setup_config())\n        return config\n\n    def get_param(self, **kwargs):\n        \"\"\"\n        Get the next parameter set\n        :return: parameter name and value pairs in dict\n        \"\"\"\n        if 'params_gen' not in self.__dict__:\n            return None\n\n        for i in self.params_gen:\n            self.current_proposal[i] = self.params_gen[i]()\n        logger.debug(self.current_proposal)\n        return self.current_proposal\n\n    def reload(self, path):\n        super(RandomProposer, self).reload(path)\n        random.set_state(self.random_state)\n        self.random_state = None\n        return self\n\n    def save(self, path):\n        if 'params_gen' in self.__dict__:\n            del self.params_gen\n        self.random_state = random.get_state()\n        super(RandomProposer, self).save(path)\n\n    def verify_config(self, config):\n        check_missing_key(config, \"n_samples\", \"Specify number of samples to randomly draw\", log=logger)\n        return config\n"
  },
  {
    "path": "src/aup/Proposer/SequenceProposer.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.Proposer.SequenceProposer\n=============================\n\nSequence proposer of the parameters\n\nConfiguration\n-------------\n\nGeneral parameters\n~~~~~~~~~~~~~~~~~~\n\n============  ========================================\nName          Explanation\n============  ========================================\nproposer      sequence\n============  ========================================\n\nSpecific parameters for ``parameter_config``\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n========= ==========================================================================\nName      Explanation\n========= ==========================================================================\nname      name of the variable, will be used in the job config, i.e. training code\ntype      type of the parameter to be sampled: choose from \"float\",\"int\",\"choice\"\nrange     range of the parameter.  For \"choice\", list all the feasible values\ninterval  interval of sequence, default of 1 for int and float; overwrite n\nn         number of samples for this variable, will compute interval; >=2\n========= ==========================================================================\n\nAPIs\n----\n\"\"\"\nimport abc\nimport logging\nfrom ast import literal_eval\nfrom math import floor\n\nfrom six.moves import reduce, input\n\nfrom .AbstractProposer import AbstractProposer\nfrom ..utils import check_missing_key, get_from_options\n\nABC = abc.ABCMeta('ABC', (object,), {'__slots__': ()})\n\nlogger = logging.getLogger(__name__)\n\n\n# could add conditional proposer\n\n\nclass _AbstractGen(object):\n    def __init__(self, conf):\n        self.name = conf[\"name\"]\n        self.current = None\n        self.len = 0\n\n    @abc.abstractmethod\n    def get(self, next_flag=True):  # pragma: no cover\n        # next_flag is for retrieve the first element in the grid space.\n        raise NotImplementedError\n\n    @classmethod\n    def get_gen(cls, conf):\n        if conf['type'].lower() == \"int\":\n            return _IntGen(conf)\n        elif conf['type'].lower() == \"float\":\n            return _FloatGen(conf)\n        elif conf['type'].lower() == \"choice\":\n            return _ChoiceGen(conf)\n        else:\n            msg = \"Data type %s is not supported\" % conf['type']\n            logger.fatal(msg)\n            raise KeyError(msg)\n\n\nclass _IntGen(_AbstractGen):\n    def __init__(self, conf):\n        super(_IntGen, self).__init__(conf)\n        self.min, self.max = conf[\"range\"]\n        if \"interval\" in conf:\n            self.interval = conf[\"interval\"]\n        elif \"n\" in conf:\n            self.interval = floor((self.max - self.min) / (conf[\"n\"] - 1))\n        else:\n            logger.warning(\"Using default interval of 1\")\n            self.interval = 1\n        self.len = floor((self.max - self.min) / self.interval) + 1\n        self.current = self.min\n\n    def get(self, next_flag=True):\n        if next_flag:\n            val = self.current + self.interval\n            if val > self.max:\n                self.current = self.min\n                return self.current, True\n            else:\n                self.current = val\n                return self.current, False\n        else:\n            return self.current, False\n\n\nclass _FloatGen(_AbstractGen):\n    def __init__(self, conf):\n        super(_FloatGen, self).__init__(conf)\n        self.min, self.max = conf[\"range\"]\n        if \"interval\" in conf:\n            self.interval = conf[\"interval\"]\n        elif \"n\" in conf:\n            self.interval = (self.max - self.min) / float(conf[\"n\"] - 1)\n        else:\n            logger.warning(\"Using default interval of 1\")\n            self.interval = 1\n        self.len = floor((self.max - self.min) / self.interval) + 1\n        self.current = self.min\n        self.max += self.interval*0.1 # avoid precision error for comparison.\n\n    def get(self, next_flag=True):\n        if next_flag:\n            val = self.current + self.interval\n            if val > self.max:  # loop back\n                self.current = self.min\n                return self.current, True\n            else:\n                self.current = val\n                return self.current, False\n        else:\n            return self.current, False\n\n\nclass _ChoiceGen(_AbstractGen):\n    def __init__(self, conf):\n        super(_ChoiceGen, self).__init__(conf)\n        self.range = conf[\"range\"]\n        self.len = len(self.range)\n        self.current = 0\n\n    def get(self, next_flag=True):\n        if next_flag:\n            self.current += 1\n            if self.current < self.len:\n                return self.range[self.current], False\n            else:\n                self.current = 0\n                return self.range[self.current], True\n        else:\n            return self.range[self.current], False\n\n\nclass SequenceProposer(AbstractProposer):\n    def __init__(self, config):\n        super(SequenceProposer, self).__init__(config)\n        self.params_gen = []\n        for param in config[\"parameter_config\"]:\n            check_missing_key(param, \"name\",\n                              \"Missing name of the parameter, need to be consistent with your training code\",\n                              log=logger)\n            p = super(SequenceProposer, self).parse_param_config(param)\n            self.params_gen.append(_AbstractGen.get_gen(p))\n        self.nSamples = reduce(lambda x, y: x * y, [i.len for i in self.params_gen])\n\n    @staticmethod\n    def setup_config():  # pragma: no cover\n        config = []\n        try:\n            print(\"start adding hyperparameters, use 'stop' or ctrl+c to exit\")\n            while True:\n                name = input(\"variable name:\")\n                if name == \"stop\":\n                    break\n                vrange = literal_eval(\"[\" + input(\"range (separated by ,):\") + \"]\")\n                if len(vrange) == 0:\n                    raise ValueError(\"range needs at least one element\")\n                vtype = get_from_options(\"type:\", (\"choice\", \"float\", \"int\"))\n                c = {'name': name, \"range\": vrange, \"type\": vtype}\n                if vtype != \"choice\":\n                    interval = input(\"interval for grid search, or skip to use total number for this variable:\")\n                    if not interval:\n                        n = int(input(\"number of values for this variable [2]:\") or 2)\n                        if n < 2:\n                            raise ValueError(\"number of values should be larger than 2, or use choice type\")\n                        c['n'] = n\n                    else:\n                        if vtype == 'float':\n                            c['interval'] = float(interval)\n                        else:\n                            c['interval'] = int(interval)\n                config.append(c)\n        except KeyboardInterrupt:\n            pass\n        return {\"parameter_config\": config}\n\n    def get_param(self, **kwargs):\n        if self.counter == 0:\n            self.current_proposal[self.params_gen[0].name], next_flag = self.params_gen[0].get(next_flag=False)\n        else:\n            self.current_proposal[self.params_gen[0].name], next_flag = self.params_gen[0].get(next_flag=True)\n        for i in self.params_gen[1:]:\n            self.current_proposal[i.name], next_flag = i.get(next_flag=next_flag)\n        logger.debug(self.current_proposal)\n        return self.current_proposal\n"
  },
  {
    "path": "src/aup/Proposer/SpearmintProposer.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.Proposer.SpearmintProposer\n==============================\n\nRe-implementation of Spearmint.  Most of the Spearmint code has not been changed\nMainly wrap main.py\n\nBe aware - all variables are vectorized except size=1 case.  (different from spearmint original implementation)\n\nThe original source is forked from `Spearmint github commit 70309f0\n<https://github.com/JasperSnoek/spearmint/tree/master/spearmint>`_.\n\nConfiguration\n-------------\n\nGeneral parameters\n~~~~~~~~~~~~~~~~~~\n\n============= ============== ========================================\nName          Default value  Explanation\n============= ============== ========================================\nproposer      -              spearmint\nengine        GPEIOptChooser\nengine_config -              Options for spearmint chooser\ngrid_size     20000          Option for spearmint\nn_samples     -              Total number of trials to sample\nrandom_seed   0              [Optional] seed for random generator\nspearmint_dir spearmint      Spearmint working directory\n============= ============== ========================================\n\nSpecific parameters for ``parameter_config``\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n======= ==========================================================================\nName    Explanation\n======= ==========================================================================\nname    name of the variable, will be used in the job config, i.e. training code\ntype    type of the parameter to be sampled: choose from \"float\",\"int\",\"choice\"\nrange   range of the parameter.  For \"choice\", list all the feasible values\n======= ==========================================================================\n\nAPIs\n----\n\"\"\"\nimport importlib\nimport logging\nimport os\nimport shutil\n\nfrom six.moves import input\n\nfrom .AbstractProposer import AbstractProposer\nfrom .spearmint import ExperimentGrid\nfrom ..aup import BasicConfig\nfrom ..utils import set_default_keyvalue, check_missing_key, get_from_options\n\nlogger = logging.getLogger(__name__)\n\n\nclass SpearmintProposer(AbstractProposer):\n    def __init__(self, config):\n        super(SpearmintProposer, self).__init__(config)\n\n        if os.path.isdir(config[\"workingdir\"]):  # local folder exist\n            set_default_keyvalue(\"spearmint_dir\",\n                                 os.path.join(config[\"workingdir\"], \"spearmint\"),\n                                 config, log=logger)\n        else:  # local folder not exist (esp. run remotely)\n            set_default_keyvalue(\"spearmint_dir\", \"spearmint\", config, log=logger)\n        self.expt_dir = config[\"spearmint_dir\"]\n        set_default_keyvalue(\"random_seed\", 0, config, log=logger)\n        set_default_keyvalue(\"engine\", \"GPEIChooser\", config, log=logger)\n        set_default_keyvalue(\"engine_config\", {}, config, log=logger)\n        set_default_keyvalue(\"grid_size\", 20000, config, log=logger)\n\n        self.nSamples = config[\"n_samples\"]\n        self.seed = config[\"random_seed\"]\n        self.target = -1 if config[\"target\"] == \"max\" else 1\n        self.variables = []\n        self.grid_size = config[\"grid_size\"]\n\n        for param in config[\"parameter_config\"]:\n            p = self.parse_param_config(param)\n            if \"job_id\" == p['name']:\n                msg = \"`job_id` is preserved for HPO\"\n                logger.fatal(msg)\n                raise ValueError(msg)\n            if p[\"type\"] == \"choice\":\n                p[\"type\"] = \"enum\"\n            set_default_keyvalue('size', 1, p)\n            self.variables.append(BasicConfig(**p))\n\n        try:\n            module = importlib.import_module(\".spearmint.chooser.\" + config[\"engine\"], package='aup.Proposer')\n            self.chooser = module.init(self.expt_dir, config[\"engine_config\"])\n            self.verify_config(config)\n        except ImportError:\n            msg = \"%s doesn't exist in spearmint\" % config[\"engine\"]\n            logger.fatal(msg)\n            raise KeyError(msg)\n\n    @staticmethod\n    def setup_config():  # pragma: no cover\n        config = dict()\n        logger.critical(\"The following step only setup the basic configuration, edit file direct for advanced tuning.\")\n        config['engine'] = get_from_options(\"HPO Engine, `engine`,\", [\"GPEIOptChooser\"])\n        config['engine_config'] = dict()\n        config['grid_size'] = int(input(\"Grid size for hyperparameters, `grid_size`, [20000]:\") or 20000)\n        config['n_samples'] = int(input(\"number of model samples to draw randomly, `n_samples`, [1]:\") or 1)\n        config['random_seed'] = int(input(\"random seed, `random_seed`, [0]:\") or 0)\n        config.update(AbstractProposer.setup_config())\n        for i in config['parameter_config']:\n            i.update({'size': 1})\n        return config\n\n    def get_param(self, **kwargs):\n        expt_grid = ExperimentGrid(self.expt_dir, self.variables, self.grid_size, self.seed)\n        grid, values, durations = expt_grid.get_grid()\n        candidates = expt_grid.get_candidates()\n        pending = expt_grid.get_pending()\n        complete = expt_grid.get_complete()\n\n        job_id = self.chooser.next(grid, values, durations, candidates, pending, complete)\n\n        if isinstance(job_id, tuple):\n            (job_id, candidate) = job_id\n            job_id = expt_grid.add_to_grid(candidate)\n\n        expt_grid.set_submitted(job_id, 0)\n        job_config = expt_grid.get_params(job_id)\n        for i in job_config:\n            if len(job_config[i]) == 1:  # spearmint returns list, other methods return value.\n                job_config[i] = job_config[i][0]\n            else:\n                raise NotImplementedError(\"Parameter with dimension larger than 1 is not supported yet\")\n        job_config[\"job_id\"] = job_id\n        expt_grid.set_running(job_id)\n        self.current_proposal = job_config\n        return self.current_proposal\n\n    def save(self, path):\n        msg = \"Save and restore not supported yet\"\n        logger.fatal(msg)\n        raise NotImplementedError(msg)\n\n    def reload(self, path):\n        msg = \"Save and restore not supported yet\"\n        logger.fatal(msg)\n        raise NotImplementedError(msg)\n\n    def update(self, score, job):\n        ExperimentGrid.job_complete(self.expt_dir, job.config[\"job_id\"], score * self.target, 0)\n\n    def failed(self, job):\n        super(SpearmintProposer, self).failed(job)\n        ExperimentGrid.job_broken(self.expt_dir, job.config[\"job_id\"])\n\n    def verify_config(self, config):\n        check_missing_key(config, \"n_samples\", \"Specify number of samples to randomly draw\", log=logger)\n\n        if os.path.exists(self.expt_dir):\n            logger.warning(\"Removing folder %s\" % self.expt_dir)\n            shutil.rmtree(self.expt_dir)\n        os.mkdir(self.expt_dir)\n        return config\n"
  },
  {
    "path": "src/aup/Proposer/Spearmint_LICENSE",
    "content": "From https://github.com/JasperSnoek/spearmint\nNote that the new repository is under a non-commercial license with a contributor license agreement. If you prefer not to agree to the license, you can freely use code here (though it is a bit older).\n\n\n"
  },
  {
    "path": "src/aup/Proposer/__init__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport importlib\nimport logging\nfrom enum import Enum\n\nlogger = logging.getLogger(__name__)\n\nPROPOSERS = {\n    \"random\": \"RandomProposer\",\n    \"sequence\": \"SequenceProposer\",\n    \"spearmint\": \"SpearmintProposer\",\n    \"hyperband\": \"HyperbandProposer\",\n    \"hyperopt\": \"HyperoptProposer\",\n    \"bohb\": \"BOHBProposer\",\n    \"eas\": \"EASProposer\"\n}\n\nProposerStatus = Enum('ProposerStatus', 'RUNNING FINISHED FAILED')\n\nSPECIAL_EXIT_PROPOSERS = (\"bohb\",\"hyperband\")\n\n\ndef get_proposer(proposer, disable_proposer_logging=False):\n    \"\"\"\n    Create Proposer\n\n    :param proposer: name of proposer\n    :type proposer: str\n    :return: A proposer class\n    :rtype: AbstractProposer\n    \"\"\"\n    logger.debug(\"choose %s as proposer\" % proposer)\n    try:\n        proposer = PROPOSERS[proposer.lower()]\n    except KeyError:\n        logger.fatal((\"%s proposer is not implemented\" % proposer))\n        raise ValueError(\"%s proposer is not implemented\" % proposer)\n\n    mod = importlib.import_module(\".\" + proposer, \"aup.Proposer\")\n    _logger = logging.getLogger(mod.__name__)\n    _logger.disabled = disable_proposer_logging\n    cls = getattr(mod, proposer)\n    return cls\n"
  },
  {
    "path": "src/aup/Proposer/eas/LICENSE",
    "content": "MIT License\n\nCopyright (c) 2019 Han Cai\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "src/aup/Proposer/eas/__init__.py",
    "content": "\n"
  },
  {
    "path": "src/aup/Proposer/eas/arch_search/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/eas/arch_search/arch_search_convnet_net2net.py",
    "content": "from ..expdir_monitor.arch_manager import ArchManager\nfrom ..meta_controller.base_controller import Vocabulary, EncoderNet, WiderActorNet, DeeperActorNet\nfrom ..meta_controller.rl_controller import ReinforceNet2NetController\nfrom time import gmtime, strftime, time\nfrom datetime import timedelta\nfrom ..models.layers import ConvLayer, FCLayer, PoolLayer\nimport re\nimport numpy as np\n\n\ndef get_net_str(net_configs):\n\tif isinstance(net_configs, list):\n\t\tif len(net_configs) == 1:\n\t\t\tnet_config = net_configs[0]\n\t\t\tnet_str = []\n\t\t\tfor layer in net_config.layer_cascade.layers[:-1]:\n\t\t\t\tif isinstance(layer, ConvLayer):\n\t\t\t\t\tnet_str.append('conv-%d-%d' % (layer.filter_num, layer.kernel_size))\n\t\t\t\telif isinstance(layer, FCLayer):\n\t\t\t\t\tnet_str.append('fc-%d' % layer.units)\n\t\t\t\telse:\n\t\t\t\t\tnet_str.append('pool')\n\t\t\treturn ['_'.join(net_str)]\n\t\telse:\n\t\t\tnet_str_list = []\n\t\t\tfor net_config in net_configs:\n\t\t\t\tnet_str_list += get_net_str([net_config])\n\t\t\treturn net_str_list\n\telse:\n\t\treturn get_net_str([net_configs])[0]\n\n\ndef get_net_seq(net_configs, vocabulary, num_steps):\n\tnet_str_list = get_net_str(net_configs)\n\tnet_seq = []\n\tseq_len = []\n\tfor net_str in net_str_list:\n\t\tnet_str = re.split('_', net_str)\n\t\tnet_code = vocabulary.get_code(net_str)\n\t\t_len = len(net_code)\n\t\tnet_code += [vocabulary.pad_code for _ in range(len(net_code), num_steps)]\n\t\tnet_seq.append(net_code)\n\t\tseq_len.append(_len)\n\treturn np.array(net_seq), np.array(seq_len)\n\n\ndef get_block_layer_num(net_configs):\n\tif len(net_configs) == 1:\n\t\tnet_config = net_configs[0]\n\t\tblock_layer_num = []\n\t\t_count = 0\n\t\tfor layer in net_config.layer_cascade.layers[:-1]:\n\t\t\tif isinstance(layer, PoolLayer):\n\t\t\t\tblock_layer_num.append(_count)\n\t\t\t\t_count = 0\n\t\t\telse:\n\t\t\t\t_count += 1\n\t\tblock_layer_num.append(_count)\n\t\treturn np.array([block_layer_num])\n\telse:\n\t\tblock_layer_num = []\n\t\tfor net_config in net_configs:\n\t\t\tblock_layer_num.append(get_block_layer_num([net_config]))\n\t\treturn np.concatenate(block_layer_num, axis=0)\n\n\ndef apply_wider_decision(wider_decision, net_configs, filter_num_list, units_num_list, noise):\n\tif len(net_configs) == 1:\n\t\tdecision = wider_decision[0]\n\t\tnet_config = net_configs[0]\n\t\tdecision_mask = []\n\t\tfor _i, layer in enumerate(net_config.layer_cascade.layers[:-1]):\n\t\t\tif isinstance(layer, ConvLayer):\n\t\t\t\tif layer.filter_num >= filter_num_list[-1]:\n\t\t\t\t\tdecision_mask.append(0.0)\n\t\t\t\telse:\n\t\t\t\t\tdecision_mask.append(1.0)\n\t\t\t\t\tif decision[_i]:\n\t\t\t\t\t\tnew_filter_number = layer.filter_num\n\t\t\t\t\t\tfor fn in filter_num_list:\n\t\t\t\t\t\t\tif fn > new_filter_number:\n\t\t\t\t\t\t\t\tnew_filter_number = fn\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\tnet_config.widen(\n\t\t\t\t\t\t\tlayer_idx=_i, new_width=new_filter_number, noise=noise\n\t\t\t\t\t\t)\n\t\t\telif isinstance(layer, FCLayer):\n\t\t\t\tif layer.units >= units_num_list[-1]:\n\t\t\t\t\tdecision_mask.append(0.0)\n\t\t\t\telse:\n\t\t\t\t\tdecision_mask.append(1.0)\n\t\t\t\t\tif decision[_i]:\n\t\t\t\t\t\tnew_units_num = layer.units\n\t\t\t\t\t\tfor un in units_num_list:\n\t\t\t\t\t\t\tif un > new_units_num:\n\t\t\t\t\t\t\t\tnew_units_num = un\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\tnet_config.widen(\n\t\t\t\t\t\t\tlayer_idx=_i, new_width=new_units_num, noise=noise,\n\t\t\t\t\t\t)\n\t\t\telse:\n\t\t\t\tdecision_mask.append(0.0)\n\t\tdecision_mask += [0.0] * (len(decision) - len(decision_mask))\n\t\treturn np.array([decision_mask])\n\telse:\n\t\tdecision_mask = []\n\t\tfor _i, net_config in enumerate(net_configs):\n\t\t\tdecision = wider_decision[_i]\n\t\t\tmask = apply_wider_decision([decision], [net_config], filter_num_list, units_num_list, noise)\n\t\t\tdecision_mask.append(mask)\n\t\treturn np.concatenate(decision_mask, axis=0)\n\n\ndef apply_deeper_decision(deeper_decision, net_configs, kernel_size_list, noise):\n\tif len(net_configs) == 1:\n\t\tdecision = deeper_decision[0]\n\t\tnet_config = net_configs[0]\n\n\t\tblock_decision, layer_idx_decision, ks_decision = decision\n\t\tdecision_mask = [1.0, 1.0]\n\t\tblock_idx, _pt = 0, 0\n\t\tto_set_layers = []\n\t\tfor _i, layer in enumerate(net_config.layer_cascade.layers[:-1]):\n\t\t\tif _pt == block_decision:\n\t\t\t\treal_layer_idx = _i + layer_idx_decision\n\t\t\t\tprev_layer = net_config.layer_cascade.layers[real_layer_idx]\n\t\t\t\tif isinstance(prev_layer, ConvLayer):\n\t\t\t\t\tif 'conv' in net_config.drop_scheme['type']:\n\t\t\t\t\t\tkeep_prob = net_config.drop_scheme.get('conv_drop', 1.0)\n\t\t\t\t\telse:\n\t\t\t\t\t\tkeep_prob = 1.0\n\t\t\t\t\tdecision_mask.append(1.0)\n\t\t\t\t\tks = kernel_size_list[ks_decision]\n\t\t\t\t\tnew_layer, prev_layer = net_config.deepen(\n\t\t\t\t\t\tlayer_idx=real_layer_idx,\n\t\t\t\t\t\tnew_layer_config={'name': 'conv', 'kernel_size': ks, 'pre_activation': False,\n\t\t\t\t\t\t\t\t\t\t  'keep_prob': keep_prob},\n\t\t\t\t\t)\n\t\t\t\t\tto_set_layers.append([new_layer, prev_layer])\n\t\t\t\telif isinstance(prev_layer, FCLayer):\n\t\t\t\t\tif 'fc' in net_config.drop_scheme['type']:\n\t\t\t\t\t\tkeep_prob = net_config.drop_scheme.get('fc_drop', 1.0)\n\t\t\t\t\telse:\n\t\t\t\t\t\tkeep_prob = 1.0\n\t\t\t\t\tdecision_mask.append(0.0)\n\t\t\t\t\tnew_layer, prev_layer = net_config.deepen(\n\t\t\t\t\t\tlayer_idx=real_layer_idx,\n\t\t\t\t\t\tnew_layer_config={'name': 'fc', 'keep_prob': keep_prob},\n\t\t\t\t\t)\n\t\t\t\t\tto_set_layers.append([new_layer, prev_layer])\n\t\t\t\telse:\n\t\t\t\t\traise ValueError\n\t\t\t\tbreak\n\t\t\tif isinstance(layer, PoolLayer):\n\t\t\t\t_pt += 1\n\t\treturn np.array([decision_mask]), to_set_layers\n\telse:\n\t\tdecision_mask = []\n\t\tto_set_layers = []\n\t\tfor _i, net_config in enumerate(net_configs):\n\t\t\tdecision = deeper_decision[_i]\n\t\t\tmask, to_set = apply_deeper_decision([decision], [net_config], kernel_size_list, noise)\n\t\t\tdecision_mask.append(mask)\n\t\t\tto_set_layers.append(to_set)\n\t\treturn np.concatenate(decision_mask, axis=0), to_set_layers\n\t\n\ndef arch_search_convnet(start_net_path, arch_search_folder, net_pool_folder, max_episodes, random=False):\n\tfilter_num_list = [_i for _i in range(4, 44, 4)]\n\tunits_num_list = [_i for _i in range(8, 88, 8)]\n\t# filter_num_list = [16, 32, 64, 96, 128, 192, 256, 320, 384, 448, 512, 576, 640]\n\t# units_num_list = [64, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280]\n\tkernel_size_list = [1, 3, 5]\n\t\n\t# encoder config\n\tlayer_token_list = ['conv-%d-%d' % (f, k) for f in filter_num_list for k in [1, 3, 5]]\n\tlayer_token_list += ['fc-%d' % u for u in units_num_list] + ['pool']\n\tencoder_config = {\n\t\t'num_steps': 50,\n\t\t'vocab': Vocabulary(layer_token_list),\n\t\t'embedding_dim': 16,\n\t\t'rnn_units': 50,\n\t\t'rnn_type': 'bi_lstm',\n\t\t'rnn_layers': 1,\n\t}\n\t\n\t# wider actor config\n\twider_actor_config = {\n\t\t'out_dim': 1,\n\t\t'num_steps': encoder_config['num_steps'],\n\t\t'net_type': 'simple',\n\t\t'net_config': None,\n\t}\n\t\n\t# deeper actor config\n\tdeeper_actor_config = {\n\t\t'decision_num': 3,\n\t\t'out_dims': [5, 10, len(kernel_size_list)],\n\t\t'embedding_dim': encoder_config['embedding_dim'],\n\t\t'cell_type': 'lstm',\n\t\t'rnn_layers': 1,\n\t\t'attention_config': None,\n\t}\n\t\n\t# meta-controller config\n\tentropy_penalty = 1e-5\n\tlearning_rate = 2e-3\n\topt_config = ['adam', {}]\n\t\n\t# net2net noise config\n\tnoise_config = {\n\t\t'wider': {'type': 'normal', 'ratio': 1e-2},\n\t\t'deeper': {'type': 'normal', 'ratio': 1e-3},\n\t}\n\t\n\t# episode config\n\tepisode_config = {\n\t\t'batch_size': 10,\n\t\t'wider_action_num': 4,\n\t\t'deeper_action_num': 5,\n\t}\n\t\n\t# arch search run config\n\tarch_search_run_config = {\n\t\t'n_epochs': 20,\n\t\t'init_lr': 0.02,\n\t\t'validation_size': 5000,\n\t\t'other_lr_schedule': {'type': 'cosine'},\n\t\t'batch_size': 64,\n\t\t'include_extra': False,\n\t}\n\t\n\t# reward config\n\treward_config = {\n\t\t'func': 'tan',\n\t\t'decay': 0.95,\n\t}\n\t\n\tarch_manager = ArchManager(start_net_path, arch_search_folder, net_pool_folder)\n\t_, run_config, _ = arch_manager.get_start_net()\n\trun_config.update(arch_search_run_config)\n\t\n\tencoder = EncoderNet(**encoder_config)\n\twider_actor = WiderActorNet(**wider_actor_config)\n\tdeeper_actor = DeeperActorNet(**deeper_actor_config)\n\tmeta_controller = ReinforceNet2NetController(arch_manager.meta_controller_path, entropy_penalty,\n\t\t\t\t\t\t\t\t\t\t\t\t encoder, wider_actor, deeper_actor, opt_config)\n\tmeta_controller.load()\n\t\n\tfor _i in range(arch_manager.episode + 1, max_episodes + 1):\n\t\tprint('episode. %d start. current time: %s' % (_i, strftime(\"%a, %d %b %Y %H:%M:%S\", gmtime())))\n\t\tstart_time = time()\n\t\t\n\t\tnets = [arch_manager.get_start_net(copy=True) for _ in range(episode_config['batch_size'])]\n\t\tnet_configs = [net_config for net_config, _, _ in nets]\n\t\t\n\t\t# feed_dict for update the controller\n\t\twider_decision_trajectory, wider_decision_mask = [], []\n\t\tdeeper_decision_trajectory, deeper_decision_mask = [], []\n\t\tdeeper_block_layer_num = []\n\t\tencoder_input_seq, encoder_seq_len = [], []\n\t\twider_seg_deeper = 0\n\t\t\n\t\tif random:\n\t\t\t# random search\n\t\t\tremain_wider_num = episode_config['wider_action_num']\n\t\t\tremain_deeper_num = episode_config['deeper_action_num']\n\t\t\twhile remain_wider_num > 0 or remain_deeper_num > 0:\n\t\t\t\trand_idx = np.random.randint(0, remain_wider_num + remain_deeper_num)\n\t\t\t\tif rand_idx < remain_wider_num:\n\t\t\t\t\twider_decision = np.random.choice(2, [episode_config['batch_size'], encoder.num_steps])\n\t\t\t\t\tapply_wider_decision(wider_decision, net_configs, filter_num_list, units_num_list, noise_config)\n\t\t\t\t\tremain_wider_num -= 1\n\t\t\t\telse:\n\t\t\t\t\tblock_layer_num = get_block_layer_num(net_configs)\n\t\t\t\t\tdeeper_decision = np.zeros([episode_config['batch_size'], deeper_actor.decision_num], np.int)\n\t\t\t\t\tdeeper_decision[:, 0] = np.random.choice(deeper_actor.out_dims[0], deeper_decision[:, 0].shape)\n\t\t\t\t\tfor _k, block_decision in enumerate(deeper_decision[:, 0]):\n\t\t\t\t\t\tavailable_layer_num = block_layer_num[_k, block_decision]\n\t\t\t\t\t\tdeeper_decision[_k, 1] = np.random.randint(0, available_layer_num)\n\t\t\t\t\tdeeper_decision[:, 2] = np.random.choice(deeper_actor.out_dims[2],  deeper_decision[:, 2].shape)\n\t\t\t\t\t\n\t\t\t\t\t_, to_set_layers = apply_deeper_decision(deeper_decision, net_configs,\n\t\t\t\t\t                                         kernel_size_list, noise_config)\n\t\t\t\t\tfor _k, net_config in enumerate(net_configs):\n\t\t\t\t\t\tnet_config.set_identity4deepen(to_set_layers[_k], arch_manager.data_provider,\n\t\t\t\t\t\t                               batch_size=64, batch_num=1, noise=noise_config)\n\t\t\t\t\tremain_deeper_num -= 1\n\t\telse:\n\t\t\t# on-policy training\n\t\t\tfor _j in range(episode_config['wider_action_num']):\n\t\t\t\tinput_seq, seq_len = get_net_seq(net_configs, encoder.vocab, encoder.num_steps)\n\t\t\t\twider_decision, wider_probs = meta_controller.sample_wider_decision(input_seq, seq_len)\n\t\t\t\t# modify net config according to wider_decision\n\t\t\t\twider_mask = apply_wider_decision(wider_decision, net_configs, filter_num_list,\n\t\t\t\t\t\t\t\t\t\t\t\t  units_num_list, noise_config)\n\t\t\t\t\n\t\t\t\twider_decision_trajectory.append(wider_decision)\n\t\t\t\twider_decision_mask.append(wider_mask)\n\t\t\t\twider_seg_deeper += len(net_configs)\n\t\t\t\tencoder_input_seq.append(input_seq)\n\t\t\t\tencoder_seq_len.append(seq_len)\n\t\t\t\n\t\t\tto_set_layers = [[] for _ in range(episode_config['batch_size'])]\n\t\t\tfor _j in range(episode_config['deeper_action_num']):\n\t\t\t\tinput_seq, seq_len = get_net_seq(net_configs, encoder.vocab, encoder.num_steps)\n\t\t\t\tblock_layer_num = get_block_layer_num(net_configs)\n\t\t\t\tdeeper_decision, deeper_probs = meta_controller.sample_deeper_decision(input_seq, seq_len,\n\t\t\t\t                                                                       block_layer_num)\n\t\t\t\t# modify net config according to deeper_decision\n\t\t\t\tdeeper_mask, to_set = apply_deeper_decision(deeper_decision, net_configs,\n\t\t\t\t                                            kernel_size_list, noise_config)\n\t\t\t\tfor _k in range(episode_config['batch_size']):\n\t\t\t\t\tto_set_layers[_k] += to_set[_k]\n\t\t\t\t\n\t\t\t\tdeeper_decision_trajectory.append(deeper_decision)\n\t\t\t\tdeeper_decision_mask.append(deeper_mask)\n\t\t\t\tdeeper_block_layer_num.append(block_layer_num)\n\t\t\t\tencoder_input_seq.append(input_seq)\n\t\t\t\tencoder_seq_len.append(seq_len)\n\t\t\t\n\t\t\tfor _k, net_config in enumerate(net_configs):\n\t\t\t\tnet_config.set_identity4deepen(to_set_layers[_k], arch_manager.data_provider,\n\t\t\t\t                               batch_size=64, batch_num=1, noise=noise_config)\n\t\t\t# prepare feed dict\n\t\t\tencoder_input_seq = np.concatenate(encoder_input_seq, axis=0)\n\t\t\tencoder_seq_len = np.concatenate(encoder_seq_len, axis=0)\n\t\t\tif episode_config['wider_action_num'] > 0:\n\t\t\t\twider_decision_trajectory = np.concatenate(wider_decision_trajectory, axis=0)\n\t\t\t\twider_decision_mask = np.concatenate(wider_decision_mask, axis=0)\n\t\t\telse:\n\t\t\t\twider_decision_trajectory = -np.ones([1, meta_controller.encoder.num_steps])\n\t\t\t\twider_decision_mask = -np.ones([1, meta_controller.encoder.num_steps])\n\t\t\tif episode_config['deeper_action_num'] > 0:\n\t\t\t\tdeeper_decision_trajectory = np.concatenate(deeper_decision_trajectory, axis=0)\n\t\t\t\tdeeper_decision_mask = np.concatenate(deeper_decision_mask, axis=0)\n\t\t\t\tdeeper_block_layer_num = np.concatenate(deeper_block_layer_num, axis=0)\n\t\t\telse:\n\t\t\t\tdeeper_decision_trajectory = - np.ones([1, meta_controller.deeper_actor.decision_num])\n\t\t\t\tdeeper_decision_mask = - np.ones([1, meta_controller.deeper_actor.decision_num])\n\t\t\t\tdeeper_block_layer_num = np.ones([1, meta_controller.deeper_actor.out_dims[0]])\n\t\t\n\t\trun_configs = [run_config] * len(net_configs)\n\t\tnet_str_list = get_net_str(net_configs)\n\t\t\n\t\tnet_vals = arch_manager.get_net_vals(net_str_list, net_configs, run_configs)\n\t\trewards = arch_manager.reward(net_vals, reward_config)\n\t\t\n\t\trewards = np.concatenate([rewards for _ in range(episode_config['wider_action_num'] +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t episode_config['deeper_action_num'])])\n\t\trewards /= episode_config['batch_size']\n\t\t\n\t\t# update the agent\n\t\tif not random:\n\t\t\tmeta_controller.update_controller(learning_rate, wider_seg_deeper, wider_decision_trajectory,\n\t\t\t\t\t\t\t\t\t\t\t  wider_decision_mask, deeper_decision_trajectory, deeper_decision_mask,\n\t\t\t\t\t\t\t\t\t\t\t  rewards, deeper_block_layer_num, encoder_input_seq, encoder_seq_len)\n\t\t\t\n\t\t\tmeta_controller.save()\n\t\t# episode end\n\t\ttime_per_episode = time() - start_time\n\t\tseconds_left = int((max_episodes - _i) * time_per_episode)\n\t\tprint('Time per Episode: %s, Est. complete in: %s' % (\n\t\t\tstr(timedelta(seconds=time_per_episode)),\n\t\t\tstr(timedelta(seconds=seconds_left))))\n"
  },
  {
    "path": "src/aup/Proposer/eas/arch_search/arch_search_densenet_net2net.py",
    "content": "from ..expdir_monitor.arch_manager import ArchManager\nfrom ..meta_controller.base_controller import Vocabulary, EncoderNet, WiderActorNet, DeeperActorNet\nfrom ..meta_controller.rl_controller import ReinforceNet2NetController\nfrom time import gmtime, strftime, time\nfrom datetime import timedelta\nfrom ..models.dense_net import DenseBlock, TransitionBlock\nimport re\nimport numpy as np\n\n\ndef get_net_str(net_configs):\n\tif len(net_configs) == 1:\n\t\tnet_config = net_configs[0]\n\t\tnet_str = []\n\t\tfor block in net_config.blocks:\n\t\t\tif isinstance(block, DenseBlock):\n\t\t\t\tblock_str = []\n\t\t\t\tfor miniblock in block.miniblocks:\n\t\t\t\t\tblock_str.append('g%d' % miniblock.out_features_dim)\n\t\t\t\tblock_str = '-'.join(block_str)\n\t\t\t\tnet_str.append(block_str)\n\t\t\telse:\n\t\t\t\tnet_str.append('t')\n\t\treturn ['_'.join(net_str)]\n\telse:\n\t\tnet_str_list = []\n\t\tfor net_config in net_configs:\n\t\t\tnet_str_list += get_net_str([net_config])\n\t\treturn net_str_list\n\n\ndef get_net_seq(net_configs, vocabulary, num_steps):\n\tnet_str_list = get_net_str(net_configs)\n\tnet_seq = []\n\tseq_len = []\n\tfor net_str in net_str_list:\n\t\tnet_str = re.split('_|-', net_str)\n\t\tnet_code = vocabulary.get_code(net_str)\n\t\t_len = len(net_code)\n\t\tnet_code += [vocabulary.pad_code for _ in range(len(net_code), num_steps)]\n\t\tnet_seq.append(net_code)\n\t\tseq_len.append(_len)\n\treturn np.array(net_seq), np.array(seq_len)\n\n\ndef get_block_layer_num(net_configs):\n\tif len(net_configs) == 1:\n\t\tnet_config = net_configs[0]\n\t\tblock_layer_num = []\n\t\tfor block in net_config.blocks:\n\t\t\tif isinstance(block, DenseBlock):\n\t\t\t\tblock_layer_num.append(len(block.miniblocks))\n\t\treturn np.array([block_layer_num])\n\telse:\n\t\tblock_layer_num = []\n\t\tfor net_config in net_configs:\n\t\t\tblock_layer_num.append(get_block_layer_num([net_config]))\n\t\treturn np.concatenate(block_layer_num, axis=0)\n\n\ndef apply_wider_decision(wider_decision, net_configs, growth_rate_list, noise):\n\tif len(net_configs) == 1:\n\t\tdecision = wider_decision[0]\n\t\tnet_config = net_configs[0]\n\t\t_pt = 0\n\t\tdecision_mask = []\n\t\tfor block_idx, block in enumerate(net_config.blocks):\n\t\t\tif isinstance(block, DenseBlock):\n\t\t\t\tfor miniblock_idx, miniblock in enumerate(block.miniblocks):\n\t\t\t\t\tgrowth_rate = miniblock.out_features_dim\n\t\t\t\t\tif growth_rate >= growth_rate_list[-1]:\n\t\t\t\t\t\tdecision_mask.append(0.0)\n\t\t\t\t\telse:\n\t\t\t\t\t\tdecision_mask.append(1.0)\n\t\t\t\t\t\tnew_gr = growth_rate\n\t\t\t\t\t\tfor gr in growth_rate_list:\n\t\t\t\t\t\t\tif gr > new_gr:\n\t\t\t\t\t\t\t\tnew_gr = gr\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\tif decision[_pt]:\n\t\t\t\t\t\t\tnet_config.widen(\n\t\t\t\t\t\t\t\tloc={'block': block_idx, 'miniblock': miniblock_idx,\n\t\t\t\t\t\t\t\t\t 'multi-branch': 'in_bottle', 'layer': 0},\n\t\t\t\t\t\t\t\tnew_width=net_config.bc_ratio * new_gr,\n\t\t\t\t\t\t\t\tnoise=noise,\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\tnet_config.widen(\n\t\t\t\t\t\t\t\tloc={'block': block_idx, 'miniblock': miniblock_idx,\n\t\t\t\t\t\t\t\t\t 'multi-branch': 'branch', 'branch': 0, 'layer': 0},\n\t\t\t\t\t\t\t\tnew_width=new_gr,\n\t\t\t\t\t\t\t\tnoise=noise,\n\t\t\t\t\t\t\t)\n\t\t\t\t\t_pt += 1\n\t\t\telse:\n\t\t\t\tdecision_mask.append(0.0)\n\t\t\t\t_pt += 1\n\t\tdecision_mask += [0.0] * (len(decision) - len(decision_mask))\n\t\treturn np.array([decision_mask])\n\telse:\n\t\tdecision_mask = []\n\t\tfor _i, net_config in enumerate(net_configs):\n\t\t\tdecision = wider_decision[_i]\n\t\t\tmask = apply_wider_decision([decision], [net_config], growth_rate_list, noise)\n\t\t\tdecision_mask.append(mask)\n\t\treturn np.concatenate(decision_mask, axis=0)\n\n\ndef apply_deeper_decision(deeper_decision, net_configs, noise):\n\tif len(net_configs) == 1:\n\t\tdecision = deeper_decision[0]\n\t\tnet_config = net_configs[0]\n\n\t\tblock_decision, layer_idx_decision = decision\n\t\tdecision_mask = [1.0, 1.0]\n\t\tblock_idx, _pt = 0, 0\n\t\tfor _i, block in enumerate(net_config.blocks):\n\t\t\tif isinstance(block, DenseBlock):\n\t\t\t\tif _pt == block_decision:\n\t\t\t\t\tblock_idx = _i\n\t\t\t\t\tbreak\n\t\t\t\t_pt += 1\n\t\tnet_config.insert_miniblock(\n\t\t\tloc={'block': block_idx, 'miniblock': layer_idx_decision},\n\t\t\tminiblock_config={'bc_mode': True},\n\t\t\tnoise=noise,\n\t\t)\n\t\treturn np.array([decision_mask])\n\telse:\n\t\tdecision_mask = []\n\t\tfor _i, net_config in enumerate(net_configs):\n\t\t\tdecision = deeper_decision[_i]\n\t\t\tmask = apply_deeper_decision([decision], [net_config], noise)\n\t\t\tdecision_mask.append(mask)\n\t\treturn np.concatenate(decision_mask, axis=0)\n\n\ndef widen_transition(net_configs, noise):\n\tfor net_config in net_configs:\n\t\tnew_out_dim = int(net_config.average_growth_rate * net_config.first_ratio)\n\t\tif new_out_dim > net_config.blocks[0].out_features_dim:\n\t\t\tnet_config.widen(\n\t\t\t\tloc={'block': 0, 'layer': 0},\n\t\t\t\tnew_width=new_out_dim,\n\t\t\t\tnoise=noise,\n\t\t\t)\n\t\tout_features_dim = new_out_dim\n\t\tfor _i, block in enumerate(net_config.blocks[2:-1], 2):\n\t\t\tif isinstance(block, TransitionBlock):\n\t\t\t\tnew_out_dim = int(net_config.blocks[_i - 1].out_features_dim(net_config.blocks[_i - 2].out_features_dim)\n\t\t\t\t\t\t\t\t  * net_config.reduction)\n\t\t\t\tif new_out_dim > block.out_features_dim:\n\t\t\t\t\tnet_config.widen(\n\t\t\t\t\t\tloc={'block': _i, 'layer': 0},\n\t\t\t\t\t\tnew_width=new_out_dim,\n\t\t\t\t\t\tnoise=noise,\n\t\t\t\t\t)\n\t\t\t\tout_features_dim = block.out_features_dim\n\t\t\telse:\n\t\t\t\tout_features_dim = block.out_features_dim(out_features_dim)\n\t\t\t\n\ndef arch_search_densenet(start_net_path, arch_search_folder, net_pool_folder, max_episodes):\n\tgrowth_rate_list = [_i for _i in range(4, 50, 2)]\n\t# encoder config\n\tlayer_token_list = ['g%d' % growth_rate for growth_rate in growth_rate_list]\n\tencoder_config = {\n\t\t'num_steps': 50,\n\t\t'vocab': Vocabulary(layer_token_list + ['t']),\n\t\t'embedding_dim': 16,\n\t\t'rnn_units': 50,\n\t\t'rnn_type': 'bi_lstm',\n\t\t'rnn_layers': 1,\n\t}\n\t\n\t# wider actor config\n\twider_actor_config = {\n\t\t'out_dim': 1,\n\t\t'num_steps': encoder_config['num_steps'],\n\t\t'net_type': 'simple',\n\t\t'net_config': None,\n\t}\n\t\n\t# deeper actor config\n\tdeeper_actor_config = {\n\t\t'decision_num': 2,\n\t\t'out_dims': [3, 20],\n\t\t'embedding_dim': encoder_config['embedding_dim'],\n\t\t'cell_type': 'lstm',\n\t\t'rnn_layers': 1,\n\t\t'attention_config': None,\n\t}\n\t\n\t# meta-controller config\n\tentropy_penalty = 1e-5\n\tlearning_rate = 2e-3\n\topt_config = ['adam', {}]\n\t\n\t# net2net noise config\n\tnoise_config = {\n\t\t'wider': {'type': 'normal', 'ratio': 1e-2},\n\t\t'deeper': {'type': 'normal', 'ratio': 1e-3},\n\t}\n\t\n\t# episode config\n\tepisode_config = {\n\t\t'batch_size': 10,\n\t\t'wider_action_num': 10,\n\t\t'deeper_action_num': 5,\n\t}\n\t\n\t# arch search run config\n\tarch_search_run_config = {\n\t\t'n_epochs': 20,\n\t\t'init_lr': 0.02,\n\t\t'validation_size': 5000,\n\t\t'other_lr_schedule': {'type': 'cosine'},\n\t\t'batch_size': 64,\n\t\t'include_extra': False,\n\t}\n\t\n\t# reward config\n\treward_config = {\n\t\t'func': 'tan',\n\t\t'decay': 0.95,\n\t}\n\t\n\tarch_manager = ArchManager(start_net_path, arch_search_folder, net_pool_folder)\n\t_, run_config, _ = arch_manager.get_start_net()\n\trun_config.update(arch_search_run_config)\n\t\n\tencoder = EncoderNet(**encoder_config)\n\twider_actor = WiderActorNet(**wider_actor_config)\n\tdeeper_actor = DeeperActorNet(**deeper_actor_config)\n\tmeta_controller = ReinforceNet2NetController(arch_manager.meta_controller_path, entropy_penalty,\n\t\t\t\t\t\t\t\t\t\t\t\t encoder, wider_actor, deeper_actor, opt_config)\n\tmeta_controller.load()\n\t\n\tfor _i in range(arch_manager.episode + 1, max_episodes + 1):\n\t\tprint('episode. %d start. current time: %s' % (_i, strftime(\"%a, %d %b %Y %H:%M:%S\", gmtime())))\n\t\tstart_time = time()\n\t\t\n\t\tnets = [arch_manager.get_start_net(copy=True) for _ in range(episode_config['batch_size'])]\n\t\tnet_configs = [net_config for net_config, _, _ in nets]\n\t\t\n\t\t# feed_dict for update the controller\n\t\twider_decision_trajectory, wider_decision_mask = [], []\n\t\tdeeper_decision_trajectory, deeper_decision_mask = [], []\n\t\tdeeper_block_layer_num = []\n\t\tencoder_input_seq, encoder_seq_len = [], []\n\t\twider_seg_deeper = 0\n\t\t\n\t\t# on-policy training\n\t\tfor _j in range(episode_config['wider_action_num']):\n\t\t\tinput_seq, seq_len = get_net_seq(net_configs, encoder.vocab, encoder.num_steps)\n\t\t\twider_decision, wider_probs = meta_controller.sample_wider_decision(input_seq, seq_len)\n\t\t\t# modify net config according to wider_decision\n\t\t\twider_mask = apply_wider_decision(wider_decision, net_configs, growth_rate_list, noise_config)\n\t\t\t\n\t\t\twider_decision_trajectory.append(wider_decision)\n\t\t\twider_decision_mask.append(wider_mask)\n\t\t\twider_seg_deeper += len(net_configs)\n\t\t\tencoder_input_seq.append(input_seq)\n\t\t\tencoder_seq_len.append(seq_len)\n\t\t\n\t\tfor _j in range(episode_config['deeper_action_num']):\n\t\t\tinput_seq, seq_len = get_net_seq(net_configs, encoder.vocab, encoder.num_steps)\n\t\t\tblock_layer_num = get_block_layer_num(net_configs)\n\t\t\tdeeper_decision, deeper_probs = meta_controller.sample_deeper_decision(input_seq, seq_len, block_layer_num)\n\t\t\t# modify net config according to deeper_decision\n\t\t\tdeeper_mask = apply_deeper_decision(deeper_decision, net_configs, noise_config)\n\t\t\t\n\t\t\tdeeper_decision_trajectory.append(deeper_decision)\n\t\t\tdeeper_decision_mask.append(deeper_mask)\n\t\t\tdeeper_block_layer_num.append(block_layer_num)\n\t\t\tencoder_input_seq.append(input_seq)\n\t\t\tencoder_seq_len.append(seq_len)\n\t\t\n\t\twiden_transition(net_configs, noise_config)\n\t\t\n\t\trun_configs = [run_config] * len(net_configs)\n\t\tnet_str_list = get_net_str(net_configs)\n\t\t\n\t\tnet_vals = arch_manager.get_net_vals(net_str_list, net_configs, run_configs)\n\t\trewards = arch_manager.reward(net_vals, reward_config)\n\t\t\n\t\t# prepare feed dict\n\t\tencoder_input_seq = np.concatenate(encoder_input_seq, axis=0)\n\t\tencoder_seq_len = np.concatenate(encoder_seq_len, axis=0)\n\t\tif episode_config['wider_action_num'] > 0:\n\t\t\twider_decision_trajectory = np.concatenate(wider_decision_trajectory, axis=0)\n\t\t\twider_decision_mask = np.concatenate(wider_decision_mask, axis=0)\n\t\telse:\n\t\t\twider_decision_trajectory = -np.ones([1, meta_controller.encoder.num_steps])\n\t\t\twider_decision_mask = -np.ones([1, meta_controller.encoder.num_steps])\n\t\tif episode_config['deeper_action_num'] > 0:\n\t\t\tdeeper_decision_trajectory = np.concatenate(deeper_decision_trajectory, axis=0)\n\t\t\tdeeper_decision_mask = np.concatenate(deeper_decision_mask, axis=0)\n\t\t\tdeeper_block_layer_num = np.concatenate(deeper_block_layer_num, axis=0)\n\t\telse:\n\t\t\tdeeper_decision_trajectory = - np.ones([1, meta_controller.deeper_actor.decision_num])\n\t\t\tdeeper_decision_mask = - np.ones([1, meta_controller.deeper_actor.decision_num])\n\t\t\tdeeper_block_layer_num = np.ones([1, meta_controller.deeper_actor.out_dims[0]])\n\t\trewards = np.concatenate([rewards for _ in range(episode_config['wider_action_num'] +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t episode_config['deeper_action_num'])])\n\t\trewards /= episode_config['batch_size']\n\t\t\n\t\t# update the agent\n\t\tmeta_controller.update_controller(learning_rate, wider_seg_deeper, wider_decision_trajectory,\n\t\t\t\t\t\t\t\t\t\t  wider_decision_mask, deeper_decision_trajectory, deeper_decision_mask,\n\t\t\t\t\t\t\t\t\t\t  rewards, deeper_block_layer_num, encoder_input_seq, encoder_seq_len)\n\t\t\n\t\tmeta_controller.save()\n\t\t# episode end\n\t\ttime_per_episode = time() - start_time\n\t\tseconds_left = int((max_episodes - _i) * time_per_episode)\n\t\tprint('Time per Episode: %s, Est. complete in: %s' % (\n\t\t\tstr(timedelta(seconds=time_per_episode)),\n\t\t\tstr(timedelta(seconds=seconds_left))))\n\n"
  },
  {
    "path": "src/aup/Proposer/eas/arch_search.py",
    "content": "import argparse\nimport numpy as np\nfrom .arch_search.arch_search_densenet_net2net import arch_search_densenet\nfrom .arch_search.arch_search_convnet_net2net import arch_search_convnet\n\n_SEED = 110\nnp.random.seed(_SEED)\n\n\nparser = argparse.ArgumentParser()\nparser.add_argument(\n\t'--setting', type=str, default='convnet', choices=['convnet', 'densenet'],\n)\n\nargs = parser.parse_args()\nif args.setting == 'convnet':\n\t\"\"\"\n\tArchitecture Search on Convnet\n\t\"\"\"\n\tarch_search_convnet(\n\t\tstart_net_path='../start_nets/start_net_convnet_small_C10+',\n\t\tarch_search_folder='../arch_search/Convnet/C10+/Conv_C10+_rl_small',\n\t\tnet_pool_folder='../net_pool/Convnet/C10+/Conv_C10+_rl_small',\n\t\tmax_episodes=3, #changed from 15\n\t\trandom=False,\n\t)\nelif args.setting == 'densenet':\n\t\"\"\"\n\tArchitecture Search on DenseNet\n\t\"\"\"\n\tarch_search_densenet(\n\t\tstart_net_path='placeholder',\n\t\tarch_search_folder='placeholder',\n\t\tnet_pool_folder='placeholder',\n\t\tmax_episodes=15,\n\t)\nelse:\n\tpass\n"
  },
  {
    "path": "src/aup/Proposer/eas/client.py",
    "content": "\"\"\"\nThe file to run in the client side\nTrain the network and return the validation performance\n\"\"\"\nimport os\nfrom .expdir_monitor.expdir_monitor import ExpdirMonitor\nimport time\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n\n\ndef run(expdir):\n\tstart_time = time.time()\n\texpdir_monitor = ExpdirMonitor(expdir)\n\tvalid_performance = expdir_monitor.run(pure=True, restore=False)\n\tend_time = time.time()\n\tprint('running time: %s' % (end_time - start_time))\n\tprint('valid performance: %s' % valid_performance)\n\t#print('pid: ' + str(os.getpid()))\n\n\ndef main():\n\texpdir = input().strip('\\n')\n\trun(expdir)\n\n\nif __name__ == \"__main__\":\n\ttry:\n\t\tmain()\n\texcept KeyboardInterrupt:\n\t\tpass\n"
  },
  {
    "path": "src/aup/Proposer/eas/data_providers/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/eas/data_providers/base_provider.py",
    "content": "import numpy as np\n\n\nclass DataSet:\n\t\"\"\"Class to represent some dataset: train, validation, test\"\"\"\n\t\n\t@property\n\tdef num_examples(self):\n\t\t\"\"\"Return qtty of examples in dataset\"\"\"\n\t\traise NotImplementedError\n\t\n\tdef next_batch(self, batch_size):\n\t\t\"\"\"Return batch of required size of data, labels\"\"\"\n\t\traise NotImplementedError\n\n\nclass ImagesDataSet(DataSet):\n\t\"\"\"Dataset for images that provide some often used methods\"\"\"\n\t\n\t@staticmethod\n\tdef measure_mean_and_std(images):\n\t\t# for every channel in image\n\t\tmeans = []\n\t\tstds = []\n\t\t# for every channel in image(assume this is last dimension)\n\t\tfor ch in range(images.shape[-1]):\n\t\t\tmeans.append(np.mean(images[:, :, :, ch]))\n\t\t\tstds.append(np.std(images[:, :, :, ch]))\n\t\treturn means, stds\n\t\n\t@staticmethod\n\tdef shuffle_images_and_labels(images, labels):\n\t\trand_indexes = np.random.permutation(images.shape[0])\n\t\tshuffled_images = images[rand_indexes]\n\t\tshuffled_labels = labels[rand_indexes]\n\t\treturn shuffled_images, shuffled_labels\n\t\n\t@staticmethod\n\tdef normalize_images(images, normalization_type, meanstd=None):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\timages: numpy 4D array\n\t\t\tnormalization_type: `str`, available choices:\n\t\t\t\t- divide_255\n\t\t\t\t- divide_256\n\t\t\t\t- by_channels\n\t\t\tmeanstd\n\t\t\"\"\"\n\t\tif normalization_type is not None:\n\t\t\tif normalization_type == 'divide_255':\n\t\t\t\timages = images / 255\n\t\t\telif normalization_type == 'divide_256':\n\t\t\t\timages = images / 256\n\t\t\telif normalization_type == 'by_channels':\n\t\t\t\timages = images.astype('float64')\n\t\t\t\t# for every channel in image(assume this is last dimension)\n\t\t\t\tmeans, stds = meanstd\n\t\t\t\tfor i in range(images.shape[-1]):\n\t\t\t\t\timages[:, :, :, i] = ((images[:, :, :, i] - means[i]) / stds[i])\n\t\t\telse:\n\t\t\t\traise Exception('Unknown type of normalization')\n\t\treturn images\n\t\n\t\nclass DataProvider:\n\t_SEED = 88\n\t\n\t@property\n\tdef data_shape(self):\n\t\t\"\"\"Return shape as python list of one data entry\"\"\"\n\t\traise NotImplementedError\n\t\n\t@property\n\tdef n_classes(self):\n\t\t\"\"\"Return `int` of num classes\"\"\"\n\t\traise NotImplementedError\n\t\n\tdef labels_to_one_hot(self, labels):\n\t\t\"\"\"Convert 1D array of labels to one hot representation\n\t\t\n\t\tArgs:\n\t\t\tlabels: 1D numpy array\n\t\t\"\"\"\n\t\tnew_labels = np.zeros((labels.shape[0], self.n_classes))\n\t\tnew_labels[range(labels.shape[0]), labels] = np.ones(labels.shape)\n\t\treturn new_labels\n\t\n\t@staticmethod\n\tdef labels_from_one_hot(labels):\n\t\t\"\"\"Convert 2D array of labels to 1D class based representation\n\t\t\n\t\tArgs:\n\t\t\tlabels: 2D numpy array\n\t\t\"\"\"\n\t\treturn np.argmax(labels, axis=1)\n"
  },
  {
    "path": "src/aup/Proposer/eas/data_providers/cifar.py",
    "content": "import tempfile\nimport os\nimport pickle\nimport random\n\nimport numpy as np\n\nfrom ..data_providers.base_provider import ImagesDataSet, DataProvider\nfrom ..data_providers.downloader import download_data_url\n\n\ndef augment_image(image, pad):\n\t\"\"\"Perform zero padding, randomly crop image to original size,\n\tmaybe mirror horizontally\"\"\"\n\tinit_shape = image.shape\n\tnew_shape = [init_shape[0] + pad * 2,\n\t\t\t\t init_shape[1] + pad * 2,\n\t\t\t\t init_shape[2]]\n\tzeros_padded = np.zeros(new_shape)\n\tzeros_padded[pad:init_shape[0] + pad, pad:init_shape[1] + pad, :] = image\n\t# randomly crop to original size\n\tinit_x = np.random.randint(0, pad * 2)\n\tinit_y = np.random.randint(0, pad * 2)\n\tcropped = zeros_padded[\n\t\t\t  init_x: init_x + init_shape[0],\n\t\t\t  init_y: init_y + init_shape[1],\n\t\t\t  :]\n\tflip = random.getrandbits(1)\n\tif flip:\n\t\tcropped = cropped[:, ::-1, :]\n\treturn cropped\n\n\ndef augment_all_images(initial_images, pad=4):\n\tnew_images = np.zeros(initial_images.shape)\n\tfor i in range(initial_images.shape[0]):\n\t\tnew_images[i] = augment_image(initial_images[i], pad)\n\treturn new_images\n\n\nclass CifarDataSet(ImagesDataSet):\n\tdef __init__(self, images, labels, n_classes, shuffle, normalization, augmentation, meanstd):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\timages: 4D numpy array\n\t\t\tlabels: 2D or 1D numpy array\n\t\t\tn_classes: `int`, number of cifar classes - 10 or 100\n\t\t\tshuffle: `str` or None\n\t\t\t\tNone: no any shuffling\n\t\t\t\tonce_prior_train: shuffle train data only once prior train\n\t\t\t\tevery_epoch: shuffle train data prior every epoch\n\t\t\tnormalization: `str` or None\n\t\t\t\tNone: no any normalization\n\t\t\t\tdivide_255: divide all pixels by 255\n\t\t\t\tdivide_256: divide all pixels by 256\n\t\t\t\tby_channels: substract mean of every chanel and divide each\n\t\t\t\t\tchanel data by it's standard deviation\n\t\t\taugmentation: `bool`\n\t\t\"\"\"\n\t\tif shuffle is None:\n\t\t\tself.shuffle_every_epoch = False\n\t\telif shuffle == 'once_prior_train':\n\t\t\tself.shuffle_every_epoch = False\n\t\t\timages, labels = self.shuffle_images_and_labels(images, labels)\n\t\telif shuffle == 'every_epoch':\n\t\t\tself.shuffle_every_epoch = True\n\t\telse:\n\t\t\traise Exception('Unknown type of shuffling')\n\t\tself._batch_counter, self.epoch_images, self.epoch_labels = 0, None, None\n\t\t\n\t\tself.images = images\n\t\tself.labels = labels\n\t\tself.n_classes = n_classes\n\t\tself.augmentation = augmentation\n\t\tself.normalization = normalization\n\t\tself.meanstd = meanstd\n\t\tself.images = self.normalize_images(images, self.normalization, self.meanstd)\n\t\tself.start_new_epoch()\n\t\n\tdef start_new_epoch(self):\n\t\tself._batch_counter = 0\n\t\tif self.shuffle_every_epoch:\n\t\t\timages, labels = self.shuffle_images_and_labels(\n\t\t\t\tself.images, self.labels)\n\t\telse:\n\t\t\timages, labels = self.images, self.labels\n\t\tif self.augmentation:\n\t\t\timages = augment_all_images(images, pad=4)\n\t\tself.epoch_images = images\n\t\tself.epoch_labels = labels\n\t\n\t@property\n\tdef num_examples(self):\n\t\treturn self.labels.shape[0]\n\t\n\tdef next_batch(self, batch_size):\n\t\tstart = self._batch_counter * batch_size\n\t\tend = (self._batch_counter + 1) * batch_size\n\t\tself._batch_counter += 1\n\t\timages_slice = self.epoch_images[start: end]\n\t\tlabels_slice = self.epoch_labels[start: end]\n\t\tif images_slice.shape[0] != batch_size:\n\t\t\tself.start_new_epoch()\n\t\t\treturn self.next_batch(batch_size)\n\t\telse:\n\t\t\treturn images_slice, labels_slice\n\n\nclass CifarDataProvider(DataProvider):\n\t\"\"\"Abstract class for cifar readers\"\"\"\n\tdef __init__(self, save_path=None, validation_size=None, shuffle=None, normalization=None,\n\t\t\t\t one_hot=True, **kwargs):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\tsave_path: `str`\n\t\t\tvalidation_set: `bool`.\n\t\t\tvalidation_split: `float` or None\n\t\t\t\tfloat: chunk of `train set` will be marked as `validation set`.\n\t\t\t\tNone: if 'validation set' == True, `validation set` will be\n\t\t\t\t\tcopy of `test set`\n\t\t\tshuffle: `str` or None\n\t\t\t\tNone: no any shuffling\n\t\t\t\tonce_prior_train: shuffle train data only once prior train\n\t\t\t\tevery_epoch: shuffle train data prior every epoch\n\t\t\tnormalization: `str` or None\n\t\t\t\tNone: no any normalization\n\t\t\t\tdivide_255: divide all pixels by 255\n\t\t\t\tdivide_256: divide all pixels by 256\n\t\t\t\tby_channels: substract mean of every chanel and divide each\n\t\t\t\t\tchanel data by it's standard deviation\n\t\t\tone_hot: `bool`, return laels one hot encoded\n\t\t\"\"\"\n\t\tself._save_path = save_path\n\t\tself.one_hot = one_hot\n\t\tdownload_data_url(self.data_url, self.save_path)\n\t\ttrain_fnames, test_fnames = self.get_filenames(self.save_path)\n\t\t\n\t\t# add train and validations datasets\n\t\timages, labels = self.read_cifar(train_fnames)\n\t\ttrain_meanstd = ImagesDataSet.measure_mean_and_std(images)\n\t\tif validation_size is not None:\n\t\t\tnp.random.seed(DataProvider._SEED)\n\t\t\trand_indexes = np.random.permutation(images.shape[0])\n\t\t\tvalid_indexes = rand_indexes[:validation_size]\n\t\t\ttrain_indexes = rand_indexes[validation_size:]\n\t\t\tself.train = CifarDataSet(\n\t\t\t\timages=images[train_indexes], labels=labels[train_indexes],\n\t\t\t\tn_classes=self.n_classes, shuffle=shuffle,\n\t\t\t\tnormalization=normalization,\n\t\t\t\taugmentation=self.data_augmentation, meanstd=train_meanstd)\n\t\t\tself.validation = CifarDataSet(\n\t\t\t\timages=images[valid_indexes], labels=labels[valid_indexes],\n\t\t\t\tn_classes=self.n_classes, shuffle=None,\n\t\t\t\tnormalization=normalization,\n\t\t\t\taugmentation=False, meanstd=train_meanstd)\n\t\telse:\n\t\t\tself.train = CifarDataSet(\n\t\t\t\timages=images, labels=labels,\n\t\t\t\tn_classes=self.n_classes, shuffle=shuffle,\n\t\t\t\tnormalization=normalization,\n\t\t\t\taugmentation=self.data_augmentation, meanstd=train_meanstd)\n\t\t\n\t\t# add test set\n\t\timages, labels = self.read_cifar(test_fnames)\n\t\tself.test = CifarDataSet(\n\t\t\timages=images, labels=labels,\n\t\t\tshuffle=None, n_classes=self.n_classes,\n\t\t\tnormalization=normalization,\n\t\t\taugmentation=False, meanstd=train_meanstd)\n\t\t\n\t\tif validation_size is None:\n\t\t\tself.validation = self.test\n\t\n\t@property\n\tdef save_path(self):\n\t\tif self._save_path is None:\n\t\t\tself._save_path = os.path.join(\n\t\t\t\ttempfile.gettempdir(), 'cifar%d' % self.n_classes)\n\t\treturn self._save_path\n\t\n\t@property\n\tdef data_url(self):\n\t\t\"\"\"Return url for downloaded data depends on cifar class\"\"\"\n\t\tdata_url = ('http://www.cs.toronto.edu/'\n\t\t\t\t\t'~kriz/cifar-%d-python.tar.gz' % self.n_classes)\n\t\treturn data_url\n\t\n\t@property\n\tdef data_shape(self):\n\t\treturn 32, 32, 3\n\t\n\t@property\n\tdef n_classes(self):\n\t\treturn self._n_classes\n\t\n\tdef get_filenames(self, save_path):\n\t\t\"\"\"Return two lists of train and test filenames for dataset\"\"\"\n\t\traise NotImplementedError\n\t\n\tdef read_cifar(self, filenames):\n\t\tif self.n_classes == 10:\n\t\t\tlabels_key = b'labels'\n\t\telif self.n_classes == 100:\n\t\t\tlabels_key = b'fine_labels'\n\t\t\n\t\timages_res = []\n\t\tlabels_res = []\n\t\tfor fname in filenames:\n\t\t\twith open(fname, 'rb') as f:\n\t\t\t\timages_and_labels = pickle.load(f, encoding='bytes')\n\t\t\timages = images_and_labels[b'data']\n\t\t\timages = images.reshape(-1, 3, 32, 32)\n\t\t\timages = images.swapaxes(1, 3).swapaxes(1, 2)\n\t\t\timages_res.append(images)\n\t\t\tlabels_res.append(images_and_labels[labels_key])\n\t\timages_res = np.vstack(images_res)\n\t\tlabels_res = np.hstack(labels_res)\n\t\tif self.one_hot:\n\t\t\tlabels_res = self.labels_to_one_hot(labels_res)\n\t\treturn images_res, labels_res\n\n\nclass Cifar10DataProvider(CifarDataProvider):\n\t_n_classes = 10\n\tdata_augmentation = False\n\t\n\tdef get_filenames(self, save_path):\n\t\tsub_save_path = os.path.join(save_path, 'cifar-10-batches-py')\n\t\ttrain_filenames = [\n\t\t\tos.path.join(\n\t\t\t\tsub_save_path,\n\t\t\t\t'data_batch_%d' % i) for i in range(1, 6)]\n\t\ttest_filenames = [os.path.join(sub_save_path, 'test_batch')]\n\t\treturn train_filenames, test_filenames\n\n\nclass Cifar100DataProvider(CifarDataProvider):\n\t_n_classes = 100\n\tdata_augmentation = False\n\t\n\tdef get_filenames(self, save_path):\n\t\tsub_save_path = os.path.join(save_path, 'cifar-100-python')\n\t\ttrain_filenames = [os.path.join(sub_save_path, 'train')]\n\t\ttest_filenames = [os.path.join(sub_save_path, 'test')]\n\t\treturn train_filenames, test_filenames\n\n\nclass Cifar10AugmentedDataProvider(Cifar10DataProvider):\n\t_n_classes = 10\n\tdata_augmentation = True\n\n\nclass Cifar100AugmentedDataProvider(Cifar100DataProvider):\n\t_n_classes = 100\n\tdata_augmentation = True\n\n"
  },
  {
    "path": "src/aup/Proposer/eas/data_providers/downloader.py",
    "content": "import sys\nimport os\nfrom six.moves.urllib import request\nimport tarfile\nimport zipfile\n\n\ndef report_download_progress(count, block_size, total_size):\n\tpct_complete = float(count * block_size) / total_size\n\tmsg = '\\r {0:.1%} already downloaded'.format(pct_complete)\n\tsys.stdout.write(msg)\n\tsys.stdout.flush()\n\n\ndef download_data_url(url, download_dir):\n\tfilename = url.split('/')[-1]\n\tfile_path = os.path.join(download_dir, filename)\n\t\n\tif not os.path.exists(file_path):\n\t\tos.makedirs(download_dir, exist_ok=True)\n\t\t\n\t\tprint('Download %s to %s' % (url, file_path))\n\t\tfile_path, _ = request.urlretrieve(\n\t\t\turl=url,\n\t\t\tfilename=file_path,\n\t\t\treporthook=report_download_progress)\n\t\t\n\t\tprint('\\nExtracting files')\n\t\tif file_path.endswith('.zip'):\n\t\t\tzipfile.ZipFile(file=file_path, mode='r').extractall(download_dir)\n\t\telif file_path.endswith(('.tar.gz', '.tgz')):\n\t\t\ttarfile.open(name=file_path, mode='r:gz').extractall(download_dir)\n"
  },
  {
    "path": "src/aup/Proposer/eas/data_providers/svhn.py",
    "content": "import tempfile\nimport os\nimport scipy.io\n\nimport numpy as np\n\nfrom ..data_providers.base_provider import ImagesDataSet, DataProvider\nfrom ..data_providers.downloader import download_data_url\n\n\nclass SVHNDataSet(ImagesDataSet):\n\tn_classes = 10\n\t\n\tdef __init__(self, images, labels, shuffle, normalization):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\timages: 4D numpy array\n\t\t\tlabels: 2D or 1D numpy array\n\t\t\tshuffle: `bool`, should shuffle data or not\n\t\t\tnormalization: `str` or None\n\t\t\t\tNone: no any normalization\n\t\t\t\tdivide_255: divide all pixels by 255\n\t\t\t\tdivide_256: divide all pixels by 256\n\t\t\t\tby_channels: substract mean of every chanel and divide each\n\t\t\t\t\tchanel data by it's standard deviation\n\t\t\"\"\"\n\t\tself._batch_counter, self.epoch_images, self.epoch_labels = 0, None, None\n\t\t\n\t\tself.shuffle = shuffle\n\t\tself.images = images\n\t\tself.labels = labels\n\t\tself.normalization = normalization\n\t\tself.start_new_epoch()\n\t\n\tdef start_new_epoch(self):\n\t\tself._batch_counter = 0\n\t\tif self.shuffle:\n\t\t\tself.epoch_images, self.epoch_labels = self.shuffle_images_and_labels(\n\t\t\t\tself.images, self.labels)\n\t\telse:\n\t\t\tself.epoch_images, self.epoch_labels = self.images, self.labels\n\t\n\t@property\n\tdef num_examples(self):\n\t\treturn self.labels.shape[0]\n\t\n\tdef next_batch(self, batch_size):\n\t\tstart = self._batch_counter * batch_size\n\t\tend = (self._batch_counter + 1) * batch_size\n\t\tself._batch_counter += 1\n\t\timages_slice = self.epoch_images[start: end]\n\t\tlabels_slice = self.epoch_labels[start: end]\n\t\t# due to memory error it should be done inside batch\n\t\tif self.normalization is not None:\n\t\t\timages_slice = self.normalize_images(\n\t\t\t\timages_slice, self.normalization)\n\t\tif images_slice.shape[0] != batch_size:\n\t\t\tself.start_new_epoch()\n\t\t\treturn self.next_batch(batch_size)\n\t\telse:\n\t\t\treturn images_slice, labels_slice\n\n\nclass SVHNDataProvider(DataProvider):\n\tdef __init__(self, save_path=None, validation_size=None, shuffle=False, normalization=None,\n\t\t\t\t one_hot=True, include_extra=True, **kwargs):\n\t\t\"\"\"\n\t\tArgs:\n\t\t\tsave_path: `str`\n\t\t\tvalidation_set: `bool`.\n\t\t\tvalidation_split: `int` or None\n\t\t\t\tfloat: chunk of `train set` will be marked as `validation set`.\n\t\t\t\tNone: if 'validation set' == True, `validation set` will be\n\t\t\t\t\tcopy of `test set`\n\t\t\tshuffle: `bool`, should shuffle data or not\n\t\t\tnormalization: `str` or None\n\t\t\t\tNone: no any normalization\n\t\t\t\tdivide_255: divide all pixels by 255\n\t\t\t\tdivide_256: divide all pixels by 256\n\t\t\t\tby_chanels: substract mean of every chanel and divide each\n\t\t\t\t\tchanel data by it's standart deviation\n\t\t\tone_hot: `bool`, return lasels one hot encoded\n\t\t\"\"\"\n\t\tself._save_path = save_path\n\t\ttrain_images = []\n\t\ttrain_labels = []\n\t\tif include_extra:\n\t\t\ttrain_data_src = ['train', 'extra']\n\t\telse:\n\t\t\ttrain_data_src = ['train']\n\t\tfor part in train_data_src:\n\t\t\timages, labels = self.get_images_and_labels(part, one_hot)\n\t\t\ttrain_images.append(images)\n\t\t\ttrain_labels.append(labels)\n\t\ttrain_images = np.vstack(train_images)\n\t\tif one_hot:\n\t\t\ttrain_labels = np.vstack(train_labels)\n\t\telse:\n\t\t\ttrain_labels = np.hstack(train_labels)\n\t\tif validation_size is not None:\n\t\t\tnp.random.seed(DataProvider._SEED)\n\t\t\trand_indexes = np.random.permutation(train_images.shape[0])\n\t\t\tvalid_indexes = rand_indexes[:validation_size]\n\t\t\ttrain_indexes = rand_indexes[validation_size:]\n\t\t\tvalid_images, valid_labels = train_images[valid_indexes], train_labels[valid_indexes]\n\t\t\ttrain_images, train_labels = train_images[train_indexes], train_labels[train_indexes]\n\t\t\tself.validation = SVHNDataSet(\n\t\t\t\tvalid_images, valid_labels, False, normalization)\n\t\t\n\t\tself.train = SVHNDataSet(\n\t\t\ttrain_images, train_labels, shuffle, normalization)\n\t\t\n\t\ttest_images, test_labels = self.get_images_and_labels('test', one_hot)\n\t\tself.test = SVHNDataSet(test_images, test_labels, False, normalization)\n\t\t\n\t\tif validation_size is None:\n\t\t\tself.validation = self.test\n\t\n\tdef get_images_and_labels(self, name_part, one_hot=False):\n\t\turl = self.data_url + name_part + '_32x32.mat'\n\t\tdownload_data_url(url, self.save_path)\n\t\tfilename = os.path.join(self.save_path, name_part + '_32x32.mat')\n\t\tdata = scipy.io.loadmat(filename)\n\t\timages = data['X'].transpose(3, 0, 1, 2)\n\t\tlabels = data['y'].reshape((-1))\n\t\tlabels[labels == 10] = 0\n\t\tif one_hot:\n\t\t\tlabels = self.labels_to_one_hot(labels)\n\t\treturn images, labels\n\t\n\t@property\n\tdef n_classes(self):\n\t\treturn 10\n\t\n\t@property\n\tdef save_path(self):\n\t\tif self._save_path is None:\n\t\t\tself._save_path = os.path.join(tempfile.gettempdir(), 'svhn')\n\t\treturn self._save_path\n\t\n\t@property\n\tdef data_url(self):\n\t\treturn 'http://ufldl.stanford.edu/housenumbers/'\n\t\n\t@property\n\tdef data_shape(self):\n\t\treturn 32, 32, 3\n"
  },
  {
    "path": "src/aup/Proposer/eas/data_providers/utils.py",
    "content": "from ..data_providers.cifar import Cifar10DataProvider, Cifar100DataProvider, \\\n\tCifar10AugmentedDataProvider, Cifar100AugmentedDataProvider\nfrom ..data_providers.svhn import SVHNDataProvider\n\n\ndef get_data_provider_by_name(name, train_params):\n\t\"\"\"Return required data provider class\"\"\"\n\tif name == 'C10':\n\t\treturn Cifar10DataProvider(**train_params)\n\tif name == 'C10+':\n\t\treturn Cifar10AugmentedDataProvider(**train_params)\n\tif name == 'C100':\n\t\treturn Cifar100DataProvider(**train_params)\n\tif name == 'C100+':\n\t\treturn Cifar100AugmentedDataProvider(**train_params)\n\tif name == 'SVHN':\n\t\treturn SVHNDataProvider(**train_params)\n\telse:\n\t\tprint('Sorry, data provider for `%s` dataset '\n\t\t\t  'was not implemented yet' % name)\n\t\texit()\n"
  },
  {
    "path": "src/aup/Proposer/eas/expdir_monitor/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/eas/expdir_monitor/arch_manager.py",
    "content": "\"\"\"\nManage the folder for architecture search\n\"\"\"\nimport os\nimport subprocess\nimport json\nimport pickle\nimport numpy as np\nfrom ..data_providers.utils import get_data_provider_by_name\nfrom .expdir_monitor import ExpdirMonitor\nfrom ..expdir_monitor import distributed\n\n\nclass NetPool:\n\tdef __init__(self, path):\n\t\tself.path = os.path.realpath(path)\n\t\tos.makedirs(self.path, exist_ok=True)\n\t\t\n\t\tself.net_str2id = {}\n\t\tself.net_id2val = {}\n\t\tself.running_set = {'stone': 0}\n\t\t\n\t\tself.on_load()\n\t\n\t@property\n\tdef str2id_path(self):\n\t\treturn '%s/net.str2id' % self.path\n\t\n\t@property\n\tdef id2val_path(self):\n\t\treturn '%s/net.id2val' % self.path\n\t\n\tdef on_load(self):\n\t\tif os.path.isfile(self.str2id_path):\n\t\t\tself.net_str2id = json.load(open(self.str2id_path, 'r'))\n\t\tif os.path.isfile(self.id2val_path):\n\t\t\tnet_id2val = json.load(open(self.id2val_path, 'r'))\n\t\t\tfor key in net_id2val:\n\t\t\t\tself.net_id2val[int(key)] = net_id2val[key]\n\t\tto_rename = []\n\t\tfor folder in os.listdir(self.path):\n\t\t\tif folder.startswith('#'):\n\t\t\t\tout_file = '%s/%s/output' % (self.path, folder)\n\t\t\t\tif not os.path.isfile(out_file):\n\t\t\t\t\tsubprocess.run(['rm', '-rf', os.path.join(self.path, folder)])\n\t\t\t\telse:\n\t\t\t\t\tnet_str = json.load(open('%s/%s/net.str' % (self.path, folder), 'r'))['net_str']\n\t\t\t\t\tif self.net_str2id.get(net_str) is None:\n\t\t\t\t\t\trecord = json.load(open(out_file, 'r'))\n\t\t\t\t\t\tnet_val = float(record['valid_acc'])\n\t\t\t\t\t\tnet_id = self.add_net(net_str, net_val)\n\t\t\t\t\t\tfolder_path = self.get_net_folder(net_id)\n\t\t\t\t\telse:\n\t\t\t\t\t\tnet_id = self.net_str2id[net_str]\n\t\t\t\t\t\tfolder_path = self.get_net_folder(net_id)\n\t\t\t\t\tif folder_path != folder:\n\t\t\t\t\t\tto_rename.append([folder, folder_path])\n\t\tfor src_folder, dst_folder in to_rename:\n\t\t\tsrc_folder = os.path.join(self.path, src_folder)\n\t\t\tdst_folder = os.path.join(self.path, dst_folder)\n\t\t\tos.rename(src_folder, dst_folder)\n\t\n\tdef add_net(self, net_str, net_val):\n\t\tassert self.net_str2id.get(net_str) is None, '%s exists' % net_str\n\t\tnet_id = net_str.__hash__()\n\t\twhile net_id in self.net_id2val:\n\t\t\tnet_id += 1\n\t\tself.net_str2id[net_str] = net_id\n\t\tself.net_id2val[net_id] = net_val\n\t\treturn net_id\n\t\n\tdef get_net_val(self, net_str):\n\t\tnet_id = self.net_str2id.get(net_str)\n\t\tif net_id is None:\n\t\t\tif net_str in self.running_set:\n\t\t\t\trunning_id = self.running_set[net_str]\n\t\t\telse:\n\t\t\t\trunning_id = net_str.__hash__()\n\t\t\t\twhile running_id in self.running_set.values():\n\t\t\t\t\trunning_id += 1\n\t\t\t\tself.running_set[net_str] = running_id\n\t\t\tnet_folder = '%s/#Running_%s' % (self.path, running_id)\n\t\t\treturn None, net_folder\n\t\telse:\n\t\t\tnet_val = self.net_id2val[net_id]\n\t\t\tnet_folder = '%s/%s' % (self.path, self.get_net_folder(net_id))\n\t\t\treturn net_val, net_folder\n\t\n\tdef on_running_finished(self, net_str, net_folder, net_val):\n\t\tnet_id = self.add_net(net_str, net_val)\n\t\t# folder_path = self.get_net_folder(net_id)\n\t\t# self.running_set.pop(net_str)\n\t\t# os.rename(net_folder, os.path.join(self.path, folder_path))\n\t\n\tdef save(self):\n\t\tjson.dump(self.net_str2id, open(self.str2id_path, 'w'), indent=4)\n\t\tjson.dump(self.net_id2val, open(self.id2val_path, 'w'), indent=4)\n\t\n\t@staticmethod\n\tdef get_net_folder(net_id):\n\t\treturn '#%s' % net_id\n\t\t\n\nclass ArchManager:\n\tdef __init__(self, start_net_path, arch_path, net_pool_path):\n\t\tself.start_net_monitor = ExpdirMonitor(start_net_path)\n\n\t\tself.start_net_config, self.data_provider = None, None\n\t\tself.net_pool = NetPool(net_pool_path)\n\t\t\n\t\tself.arch_path = os.path.realpath(arch_path)\n\t\tos.makedirs(self.arch_path, exist_ok=True)\n\t\t\n\t\tself.episode = 0\n\t\tself.net_val_wrt_episode = []\n\t\t\n\t\tself.val_log_writer = open(self.val_logs_path, 'a')\n\t\tself.net_log_writer = open(self.net_logs_path, 'a')\n\t\tself.on_load()\n\t\n\t@property\n\tdef meta_controller_path(self):\n\t\treturn '%s/controller' % self.arch_path\n\n\t@property\n\tdef val_logs_path(self):\n\t\treturn '%s/val.log' % self.arch_path\n\t\n\t@property\n\tdef net_logs_path(self):\n\t\treturn '%s/net.log' % self.arch_path\n\t\n\tdef on_load(self):\n\t\tif os.path.isfile(self.val_logs_path):\n\t\t\twith open(self.val_logs_path, 'r') as fin:\n\t\t\t\tfor line in fin.readlines():\n\t\t\t\t\tline = line[:-1]\n\t\t\t\t\tself.episode += 1\n\t\t\t\t\tnet_val_list = line.split('\\t')[4:]\n\t\t\t\t\tnet_val_list = [float(net_val) for net_val in net_val_list]\n\t\t\t\t\tself.net_val_wrt_episode.append(net_val_list)\n\t\t\t\t\n\tdef get_start_net(self, copy=False):\n\t\tif self.start_net_config is None:\n\t\t\t# prepare start net\n\t\t\tprint('Load start net from %s' % self.start_net_monitor.expdir)\n\t\t\tinit = self.start_net_monitor.load_init()\n\t\t\tdataset = 'C10+' if init is None else init.get('dataset', 'C10+')\n\t\t\trun_config = self.start_net_monitor.load_run_config(print_info=True, dataset=dataset)\n\t\t\trun_config.renew_logs = False\n\n\t\t\tnet_config, model_name = self.start_net_monitor.load_net_config(init, print_info=True)\n\t\t\tself.data_provider = get_data_provider_by_name(run_config.dataset, run_config.get_config())\n\t\t\tself.start_net_config = [net_config, run_config, model_name]\n\t\tif copy:\n\t\t\tnet_config, run_config, model_name = self.start_net_config[:3]\n\t\t\treturn [\n\t\t\t\tnet_config.copy(), run_config.copy(), model_name\n\t\t\t]\n\t\telse:\n\t\t\treturn self.start_net_config\n\t\n\t@staticmethod\n\tdef prepare_folder_for_valid(net_str, net_config, run_config, exp_dir):\n\t\tos.makedirs(exp_dir, exist_ok=True)\n\t\tmonitor = ExpdirMonitor(exp_dir)\n\t\tjson.dump(net_config.get_config(), open(monitor.net_config_path, 'w'), indent=4)\n\t\tjson.dump(run_config.get_config(), open(monitor.run_config_path, 'w'), indent=4)\n\t\tpickle.dump(net_config.renew_init(None), open(monitor.init, 'wb'))\n\t\tjson.dump({'net_str': net_str}, open(os.path.join(monitor.expdir, 'net.str'), 'w'), indent=4)\n\t\n\tdef get_net_tasks(self, net_str_list, net_configs, run_configs):\n\t\tnet_val_list = [-1] * len(net_str_list)\n\t\t\n\t\tto_run = {}\n\t\tfor _i, net_str in enumerate(net_str_list):\n\t\t\tnet_val, net_folder = self.net_pool.get_net_val(net_str)\n\t\t\tif net_val is None:\n\t\t\t\tif net_folder in to_run: to_run[net_folder] += [_i]\n\t\t\t\telse:\n\t\t\t\t\tto_run[net_folder] = [_i]\n\t\t\t\t\tself.prepare_folder_for_valid(net_str, net_configs[_i], run_configs[_i], net_folder)\n\t\t\telse:\n\t\t\t\tnet_val_list[_i] = net_val\n\t\t\n\t\ttask_list = [[net_folder, to_run[net_folder]] for net_folder in to_run]\n\t\treturn task_list\n\t\t#distributed.run(task_list)\n\t\t\"\"\"episode_total_running_time = 0\n\t\tfor net_folder, idx, net_val in task_list:\n\t\t\tnet_str = net_str_list[idx[0]]\n\t\t\tnet_val, running_time = net_val\n\t\t\tepisode_total_running_time += running_time\n\t\t\tself.net_pool.on_running_finished(net_str, net_folder, net_val)\n\t\t\tfor _id in idx:\n\t\t\t\tnet_val_list[_id] = net_val\n\t\tself.log_nets(net_str_list, episode_total_running_time)\n\t\tself.net_pool.save()\n\t\treturn net_val_list\"\"\"\n\t\n\tdef val2reward(self, net_val_list, func=None):\n\t\trewards = []\n\t\tfor net_val in net_val_list:\n\t\t\tif func is None:\n\t\t\t\trewards.append(net_val)\n\t\t\telif func == 'tan':\n\t\t\t\treward = np.tan(net_val * np.pi / 2)\n\t\t\t\trewards.append(reward)\n\t\t\telse:\n\t\t\t\traise NotImplementedError\n\t\treturn rewards\n\t\t\n\tdef reward(self, net_val_list, reward_config):\n\t\trewards = self.val2reward(net_val_list, reward_config.get('func'))\n\t\trewards = np.array(rewards)\n\t\t# baseline function\n\t\tdecay = reward_config['decay']\n\t\tif 'exp_moving_avg' not in self.__dict__:\n\t\t\tself.exp_moving_avg = 0\n\t\t\tfor old_net_val_list in self.net_val_wrt_episode[:-1]:\n\t\t\t\told_rewards = self.val2reward(old_net_val_list, reward_config.get('func'))\n\t\t\t\tself.exp_moving_avg += decay * (np.mean(old_rewards) - self.exp_moving_avg)\n\t\tself.exp_moving_avg += decay * (np.mean(rewards) - self.exp_moving_avg)\n\t\treturn rewards - self.exp_moving_avg\n\t\n\tdef log_nets(self, net_str_list, running_time, print_info=True):\n\t\tnet_id_list = [self.net_pool.net_str2id[net_str] for net_str in net_str_list]\n\t\tnets_num = len(net_id_list)\n\t\tnew_nets_num = len(set(net_id_list))\n\t\t\n\t\tnet_val_list = [self.net_pool.net_id2val[net_id] for net_id in net_id_list]\n\t\tmean_val, max_val = np.mean(net_val_list), np.max(net_val_list)\n\t\tself.net_log_writer.write('%d.\\t nets=%d (total=%d)\\t%s\\n' % (self.episode, new_nets_num, nets_num,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t'\\t'.join([str(net_id) for net_id in net_id_list])))\n\t\tlog_str = '%d.\\t nets=%d (total=%d)\\t mean_val=%s (max_val=%s)\\t using %s(min)\\t%s' % \\\n\t\t\t\t  (self.episode + 1, new_nets_num, nets_num, mean_val, max_val, running_time,\n\t\t\t\t   '\\t'.join([str(net_val) for net_val in net_val_list]))\n\t\tif print_info:\n\t\t\tprint(log_str)\n\t\tself.val_log_writer.write(log_str + '\\n')\n\t\t\n\t\tself.val_log_writer.flush()\n\t\tself.net_log_writer.flush()\n\t\tself.net_val_wrt_episode.append(net_val_list)\n\t\tself.episode += 1\n"
  },
  {
    "path": "src/aup/Proposer/eas/expdir_monitor/distributed.py",
    "content": "from subprocess import Popen, PIPE\nfrom threading import Thread, Lock\nfrom queue import Queue\nfrom time import sleep\nfrom sys import stderr\nimport re\nimport json\n#import shlex\n#import ipdb\n#import os\n#import signal\n\nmax_running_machine = 2\n\n_max_used_mem = 0.3\n_max_used_gpu = 0.3\nconfig_file = 'server_config'\n\n\nclass GpuChecker:\n\tdef __init__(self, nvidia_getter, gpuid):\n\t\tself.nvidia_getter = nvidia_getter\n\t\tself.gpuid = gpuid\n\t\n\tdef state_parser(self, state_str):\n\t\tresult = []\n\t\tfor line in state_str.split('\\n'):\n\t\t\t# .*?(\\d*)C.*\\|(.*?)MiB.*?/(.*?)MiB.*?\\|.*?(\\d*)\\%\n\t\t\t# .*?(\\d*)C.*\\|(.*?)MiB.*?/(.*?)MiB.*?\\|.*?(\\d*)%\n\t\t\tpattern = re.search('.*?(\\d*)C.*\\|(.*?)MiB.*?/(.*?)MiB.*?\\|.*?(\\d*)%', line)\n\t\t\tif pattern is not None:\n\t\t\t\tresult.append([int(x) for x in pattern.groups()])\n\t\tif self.gpuid >= len(result):\n\t\t\treturn None\n\t\t# assert self.gpuid < len(result), 'Parsing error or not enough gpus.'\n\t\treturn result[self.gpuid]\n\t\n\tdef instance_available(self, state_str):\n\t\tparse_result = self.state_parser(state_str)\n\t\tif parse_result is None: return False\n\t\t_, used_mem, total_mem, occupation = parse_result\n\t\toccupation /= 100\n\t\treturn used_mem / total_mem < _max_used_mem and occupation < _max_used_gpu\n\t\n\tdef check(self):\n\t\t_check_times = 3\n\t\ttry:\n\t\t\tfor _i in range(_check_times):\n\t\t\t\tassert self.instance_available(self.nvidia_getter())\n\t\t\t\tif _i < _check_times - 1:\n\t\t\t\t\tsleep(0.5)\n\t\texcept AssertionError:\n\t\t\treturn False\n\t\treturn True\n\t\n\tdef is_on(self):\n\t\ttry:\n\t\t\tparse_result = self.state_parser(self.nvidia_getter())\n\t\t\tif parse_result is None:\n\t\t\t\treturn False\n\t\t\telse:\n\t\t\t\treturn True\n\t\texcept Exception:\n\t\t\treturn False\n\n\nclass RemoteController:\n\tdef __init__(self, remote, gpuid, executive):\n\t\tself.remote = remote\n\t\tself.gpuid = gpuid\n\t\tself.executive = executive\n\t\t\n\t\tself.gpu_checker = GpuChecker(lambda: self.run('nvidia-smi'), self.gpuid)\n\t\t\n\t\tself._lock = Lock()\n\t\tself._occupied = False\n\t\tself._on_running = None\n\t\tself.proc_pid = -1\n\t\n\t@property\n\tdef occupied(self):\n\t\t#print(\"Here Check 4 yy\")\n\t\twith self._lock:\n\t\t\treturn self._occupied\n\t\n\t@occupied.setter\n\tdef occupied(self, val):\n\t\tassert isinstance(val, bool), 'Occupied must be True or False, but {} received.'.format(val)\n\t\tprint(\"Here Check 3 yy\")\n\t\twith self._lock:\n\t\t\tself._occupied = val\n\t\n\tdef run(self, cmd, stdin=None):\n\t\tproc = Popen(cmd, shell=True, stdin=PIPE, stdout=PIPE,\n\t\t\t\t\t universal_newlines=True)\n\t\t#print(\"**********************Process id****************\")\n\t\t#print(proc.pid)\n\t\tself.proc_pid = proc.pid\n\t\treturn proc.communicate(input=stdin)[0]\n\t\n\t@property\n\tdef gpu_state(self):\n\t\treturn self.gpu_checker.check()\n\t\n\t@property\n\tdef exe_cmd(self):\n\t\treturn 'CUDA_VISIBLE_DEVICES={gpuid} python3 {executive}'.format(\n\t\t\texecutive=self.executive,\n\t\t\tgpuid=self.gpuid\n\t\t)\n\t\n\tdef check_on(self, queue):\n\t\t#print(\"Here Check 1 yy\")\n\t\tif not self.gpu_checker.is_on():\n\t\t\tprint(\"Here Check 2\")\n\t\t\tif self._on_running is not None:\n\t\t\t\tqueue.put(self._on_running)\n\t\t\t\tself._on_running = None\n\t\t\t\tprint('Remote Error.')\n\t\t\treturn False\n\t\treturn True\n\t\n\tdef remote_executer(self, idx, expdir, queue):\n\t\tself.occupied = True\n\t\tcmd = self.exe_cmd\n\t\tprint('{}: {} {}'.format(self.remote, cmd, expdir), file=stderr)\n\t\tresult = self.run(cmd, stdin=expdir)\n\t\t#ipdb.set_trace()\n\t\ttry:\n\t\t\tresult = str(result).split('\\n')\n\t\t\tused_time = result[-3]\n\t\t\tresult = result[-2]\n\t\t\tassert result.startswith('valid performance: ') and used_time.startswith('running time: '), \\\n\t\t\t\t'Invalid return: %s, %s' % (used_time, result)\n\t\t\tused_time = used_time[len('running time: '):]\n\t\t\tused_time = float(used_time) / 60  # minutes\n\t\t\tresult = result[len('valid performance: '):]\n\t\t\tprint(\"**********************Putting queue*******************\")\n\t\t\tprint(queue.qsize())\n\t\t\tresult = float(result)\n\t\t\tqueue.put([idx, (result, used_time)])\n\t\t\tprint(\"**********************Printing queue*******************\")\n\t\t\tprint(queue.qsize())\n\t\t\tprint('{}th task: {} is successfully executed, result is {}, using {} min.'.\n\t\t\t\t  format(idx, expdir, result, used_time), file=stderr)\n\t\texcept Exception:\n\t\t\tqueue.put([idx, expdir])\n\t\t\tprint('{}th task: {} fails, with return: %s.'.format(idx, expdir, result), file=stderr)\n\n\t\t#os.kill(pid,signal.SIGKILL)\n\n\t\tself.occupied = False\n\t\tself.check_on(queue)\n\t\n\tdef execute(self, idx, expdir, queue):\n\t\tif self.occupied or not self.gpu_state:\n\t\t\tqueue.put([idx, expdir])\n\t\t\tprint(\"*********************Queue Waiting*******************\")\n\t\t\tprint(queue.qsize())\n\t\telse:\n\t\t\tself._on_running = [idx, expdir]\n\t\t\tthr = Thread(target=self.remote_executer, args=(idx, expdir, queue))\n\t\t\tthr.start()\n\t\t\tself._on_running = None\n\t\t\tprint(\"*********************Queue Starting*******************\")\n\t\t\tprint(queue.qsize())\n\n\nclass ClusterController:\n\tdef __init__(self, config_list):\n\t\t#ipdb.set_trace()\n\t\tself.cluster = [RemoteController(*config) for config in config_list]\n\t\tself._pt = 0\n\t\n\tdef choice(self, queue):\n\t\tremotes_available, occupy_num = self.get_available(queue)\n\t\tprint(\"Here Check 5 yy\")\n\t\twhile occupy_num >= max_running_machine:\n\t\t\tsleep(0.5)\n\t\t\tremotes_available, occupy_num = self.get_available(queue)\n\t\twhile not remotes_available[self._pt]:\n\t\t\tself._pt = (self._pt + 1) % len(self.cluster)\n\t\tprint(\"Here Check 6 yy\")\n\t\tchoose_remote = self.cluster[self._pt]\n\t\tself._pt = (self._pt + 1) % len(self.cluster)\n\t\treturn choose_remote\n\t\t# return random.choice(self.cluster)\n\t\n\tdef get_available(self, queue):\n\t\tremotes_available = [False] * len(self.cluster)\n\t\toccupy_num = len(self.cluster)\n\t\t#print(\"Here Check 7 yy\")\n\t\tfor _i, remote in enumerate(self.cluster):\n\t\t\t#print(\"Here Check 8 yy\")\n\t\t\tif not remote.check_on(queue):\n\t\t\t\toccupy_num -= 1\n\t\t\t\tcontinue\n\t\t\tif not remote.occupied:\n\t\t\t\tremotes_available[_i] = True\n\t\t\t\toccupy_num -= 1\n\n\t\treturn remotes_available, occupy_num\n\t\n\tdef execute(self, idx, expdir, queue):\n\t\tprint(\"Here Check 9 yy\")\n\t\tself.choice(queue).execute(idx, expdir, queue)\n\n\ndef run_tasks(config_list, expdir_list):\n\tcontroller = ClusterController(config_list)\n\tresult_list = [None for _ in expdir_list]\n\t\n\tqueue = Queue()\n\tfor idx, expdir in enumerate(expdir_list):\n\t\tqueue.put([idx, expdir])\n\tprint(\"Here Check 10 yy\")\n\tremained = len(result_list)\n\tprint(remained)\n\twhile remained > 0:\n\t\tidx, val = queue.get()\n\t\tprint(idx)\n\t\tprint(val)\n\t\tprint(\"Here Check 11 yy\")\n\t\tif isinstance(val, str):\n\t\t\t# expdir, need to execute\n\t\t\tprint(\"Here Check 14 yy\")\n\t\t\tcontroller.execute(idx, val, queue)\n\t\t\tprint(\"Here Check 15 yy\")\n\t\telif isinstance(val, tuple):\n\t\t\t# result, need to be put in result_list\n\t\t\tresult_list[idx] = val\n\t\t\tremained -= 1\n\t\t\tprint(\"Here Check 16 yy\")\n\treturn result_list\n\n\ndef run(task_list):\n\twith open(config_file, 'r') as f:\n\t\tconfig_list = json.load(f)\n\tprint(\"Here Check 12 yy\")\n\texpdir_list = [expdir for expdir, *_ in task_list]\n\tresult_list = run_tasks(config_list, expdir_list)\n\tfor idx, _ in enumerate(task_list):\n\t\ttask_list[idx].append(result_list[idx])\n\t\tprint(\"Here Check 13 yy\")\n"
  },
  {
    "path": "src/aup/Proposer/eas/expdir_monitor/expdir_monitor.py",
    "content": "import json\nimport os\nimport subprocess\nfrom ..models.utils import RunConfig, get_model_config_by_name, get_model_by_name\nfrom ..data_providers.utils import get_data_provider_by_name\nimport pickle\n\n\nclass ExpdirMonitor:\n\tdef __init__(self, expdir):\n\t\tself.expdir = os.path.realpath(expdir)\n\t\tos.makedirs(self.expdir, exist_ok=True)\n\n\t@property\n\tdef logs(self): return '%s/logs' % self.expdir\n\t\n\t@property\n\tdef checkpoint(self): return '%s/checkpoint' % self.expdir\n\t\n\t@property\n\tdef snapshot(self): return '%s/snapshot' % self.expdir\n\t\n\t@property\n\tdef output(self): return '%s/output' % self.expdir\n\t\n\t@property\n\tdef init(self): return '%s/init' % self.expdir\n\t\n\t@property\n\tdef run_config_path(self): return '%s/run.config' % self.expdir\n\t\n\t@property\n\tdef net_config_path(self): return '%s/net.config' % self.expdir\n\t\n\tdef load_run_config(self, print_info=False, dataset='C10+'):\n\t\tif os.path.isfile(self.run_config_path):\n\t\t\trun_config = json.load(open(self.run_config_path, 'r'))\n\t\telse:\n\t\t\tprint('Use Default Run Config for %s' % dataset)\n\t\t\trun_config = RunConfig.get_default_run_config(dataset)\n\t\tif print_info:\n\t\t\tprint('Run config:')\n\t\t\tfor k, v in run_config.items():\n\t\t\t\tprint('\\t%s: %s' % (k, v))\n\t\treturn RunConfig(**run_config)\n\t\n\tdef load_init(self):\n\t\tinit_path = '%s/init' % self.expdir\n\t\tif os.path.isfile(init_path):\n\t\t\treturn pickle.load(open(self.init, 'rb'))\n\t\telse:\n\t\t\treturn None\n\n\tdef load_net_config(self, init, print_info=False):\n\t\tassert os.path.isfile(self.net_config_path), \\\n\t\t\t'Net configs do not exist in the given expdir <%s>' % self.expdir\n\t\tnet_config_json = json.load(open(self.net_config_path, 'r'))\n\t\tnet_config = get_model_config_by_name(net_config_json['name'])()\n\t\tnet_config.set_net_from_config(net_config_json, init=init, print_info=print_info)\n\t\treturn net_config, net_config_json['name']\n\t\n\tdef run(self, pure=True, restore=False, test=False, valid=False, valid_size=-1):\n\t\tif not restore:\n\t\t\t_clear_files = ['logs', 'checkpoint', 'snapshot', 'output']\n\t\t\tfor file in _clear_files:\n\t\t\t\tsubprocess.run(['rm', '-rf', os.path.join(self.expdir, file)])\n\t\tinit = self.load_init()\n\t\tdataset = 'C10+' if init is None else init.get('dataset', 'C10+')\n\t\trun_config = self.load_run_config(print_info=(not pure), dataset=dataset)\n\t\trun_config.renew_logs = False\n\t\tif valid_size > 0:\n\t\t\trun_config.validation_size = valid_size\n\t\t\n\t\tdata_provider = get_data_provider_by_name(run_config.dataset, run_config.get_config())\n\t\tnet_config, model_name = self.load_net_config(init, print_info=(not pure))\n\t\tmodel = get_model_by_name(model_name)(self.expdir, data_provider, run_config, net_config, pure=pure)\n\t\tstart_epoch = 1\n\t\tif restore:\n\t\t\tmodel.load_model()\n\t\t\tepoch_info_file = '%s/checkpoint/epoch.info' % self.expdir\n\t\t\tif os.path.isfile(epoch_info_file):\n\t\t\t\tstart_epoch = json.load(open(epoch_info_file, 'r'))['epoch']\n\t\t\t\tif not pure:\n\t\t\t\t\tprint('start epoch: %d' % start_epoch)\n\t\tif test:\n\t\t\tprint('Testing...')\n\t\t\tloss, accuracy = model.test(data_provider.test, batch_size=200)\n\t\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\t\tjson.dump({'test_loss': '%s' % loss, 'test_acc': '%s' % accuracy}, open(self.output, 'w'))\n\t\telif valid:\n\t\t\tprint('validating...')\n\t\t\tloss, accuracy = model.test(data_provider.validation, batch_size=200)\n\t\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\t\tjson.dump({'valid_loss': '%s' % loss, 'valid_acc': '%s' % accuracy}, open(self.output, 'w'))\n\t\telif pure:\n\t\t\tmodel.pure_train()\n\t\t\tloss, accuracy = model.test(data_provider.validation, batch_size=200)\n\t\t\tjson.dump({'valid_loss': '%s' % loss, 'valid_acc': '%s' % accuracy}, open(self.output, 'w'))\n\t\t\tmodel.save_init(self.snapshot, print_info=(not pure))\n\t\t\tmodel.save_config(self.expdir, print_info=(not pure))\n\t\telse:\n\t\t\t# train the model\n\t\t\tprint('Data provider train images: ', data_provider.train.num_examples)\n\t\t\tmodel.train_all_epochs(start_epoch)\n\t\t\tprint('Data provider test images: ', data_provider.test.num_examples)\n\t\t\tprint('Testing...')\n\t\t\tloss, accuracy = model.test(data_provider.test, batch_size=200)\n\t\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\t\tjson.dump({'test_loss': '%s' % loss, 'test_acc': '%s' % accuracy}, open(self.output, 'w'))\n\t\t\tmodel.save_init(self.snapshot, print_info=(not pure))\n\t\t\tmodel.save_config(self.expdir, print_info=(not pure))\n\t\treturn accuracy\n"
  },
  {
    "path": "src/aup/Proposer/eas/main.py",
    "content": "from .expdir_monitor.expdir_monitor import ExpdirMonitor\nimport argparse\n\n\n\"\"\"\nGiven a expdir, run the exp\n\"\"\"\nparser = argparse.ArgumentParser()\nparser.add_argument(\n\t'--test', action='store_true',\n\thelp='Test model for required dataset if pretrained model exists.'\n)\nparser.add_argument(\n\t'--valid', action='store_true',\n)\nparser.add_argument(\n\t'--valid_size', type=int, default=-1,\n)\nparser.add_argument('--path', type=str)\nparser.add_argument('--restore', action='store_true')\nargs = parser.parse_args()\nexpdir_monitor = ExpdirMonitor(args.path)\ntest_performance = expdir_monitor.run(pure=False, restore=args.restore, test=args.test, valid=args.valid,\n                                      valid_size=args.valid_size)\nif args.valid:\n\tprint('validation performance: %s' % test_performance)\nelse:\n\tprint('test performance: %s' % test_performance)\n"
  },
  {
    "path": "src/aup/Proposer/eas/meta_controller/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/eas/meta_controller/base_controller.py",
    "content": "import tensorflow as tf\nfrom tensorflow.contrib import rnn\nfrom tensorflow.python.ops import array_ops\nfrom ..models.basic_model import BasicModel\nimport numpy as np\nimport os\n\n\nclass BaseController:\n\tdef __init__(self, path):\n\t\tself.path = os.path.realpath(path)\n\t\tos.makedirs(self.path, exist_ok=True)\n\t\t\n\tdef load(self):\n\t\traise NotImplementedError\n\t\n\tdef save(self, global_step=None):\n\t\traise NotImplementedError\n\t\n\t@property\n\tdef save_path(self):\n\t\treturn '%s/model.ckpt' % self.path\n\t\n\t@property\n\tdef logs_path(self):\n\t\treturn '%s/logs' % self.path\n\n\nclass Vocabulary:\n\tdef __init__(self, token_list):\n\t\ttoken_list = ['PAD'] + token_list\n\t\tself.vocab = {}\n\t\tfor idx, token in enumerate(token_list):\n\t\t\tself.vocab[token] = idx\n\t\t\tself.vocab[idx] = token\n\t\n\t@property\n\tdef size(self):\n\t\treturn len(self.vocab) // 2\n\t\n\tdef get_code(self, token_list):\n\t\treturn [self.vocab[token] for token in token_list]\n\t\n\tdef get_token(self, code_list):\n\t\treturn [self.vocab[code] for code in code_list]\n\t\n\t@property\n\tdef pad_code(self):\n\t\treturn self.vocab['PAD']\n\n\ndef embedding(_input, vocab_size, embedding_dim, name='embedding'):\n\t\"\"\"\n\t_input: [batch_size, max_num_steps]\n\toutput: [batch_size, max_num_steps, embedding_dim]\n\t\"\"\"\n\t# embedding\n\tembedding_var = tf.get_variable(\n\t\tname=name,\n\t\tshape=[vocab_size, embedding_dim],\n\t\tinitializer=tf.random_uniform_initializer(-np.sqrt(3), np.sqrt(3)),\n\t\tdtype=tf.float32,\n\t)  # Initialize embeddings to have variance=1.\n\toutput = tf.nn.embedding_lookup(embedding_var, _input)\n\treturn output\n\n\ndef build_cell(units, cell_type='lstm', num_layers=1):\n\tif num_layers > 1:\n\t\tcell = rnn.MultiRNNCell([\n\t\t\tbuild_cell(units, cell_type, 1) for _ in range(num_layers)\n\t\t])\n\telse:\n\t\tif cell_type == \"lstm\":\n\t\t\tcell = rnn.LSTMCell(units)\n\t\telif cell_type == \"gru\":\n\t\t\tcell = rnn.GRUCell(units)\n\t\telse:\n\t\t\traise ValueError('Do not support %s' % cell_type)\n\treturn cell\n\n\ndef seq_len(sequence):\n\t\"\"\"\n\tassume padding with zero vectors\n\tsequence: [batch_size, num_steps, features]\n\tlength: [batch_size]\n\t\"\"\"\n\tused = tf.sign(tf.reduce_max(tf.abs(sequence), 2))\n\tlength = tf.reduce_sum(used, 1)\n\tlength = tf.cast(length, tf.int32)\n\treturn length\n\n\nclass EncoderNet:\n\tdef __init__(self, num_steps, vocab, embedding_dim, rnn_units, rnn_type='bi_lstm', rnn_layers=1):\n\t\tself.num_steps = num_steps\n\t\tself.vocab = vocab\n\t\tself.embedding_dim = embedding_dim\n\t\t\n\t\tself.rnn_units = rnn_units\n\t\tself.rnn_type = rnn_type\n\t\tself.rnn_layers = rnn_layers\n\t\t\n\t\t# placeholder\n\t\tself.seq_len, self.input_seq = None, None\n\t\t# op\n\t\tself.encoder_output, self.encoder_state = None, None\n\t\n\t@property\n\tdef bidirectional(self):\n\t\treturn self.rnn_type.startswith('bi')\n\t\n\t@property\n\tdef cell_type(self):\n\t\treturn self.rnn_type.split('_')[-1]\n\t\n\tdef _define_input(self):\n\t\tself.seq_len = tf.placeholder(\n\t\t\ttf.int32,\n\t\t\t[None],\n\t\t\t'seq_len'\n\t\t)  # length of each sequence, shape = [batch_size, ]\n\t\t\n\t\tself.input_seq = tf.placeholder(\n\t\t\ttf.int32,\n\t\t\t[None, self.num_steps],\n\t\t\t'input_seq'\n\t\t)  # input sequence, shape = [batch_size, num_steps]\n\t\n\tdef build(self):\n\t\tself._define_input()\n\t\t\n\t\toutput = self.input_seq\n\t\toutput = embedding(output, self.vocab.size, self.embedding_dim, name='layer_embedding')\n\t\tinput_dim = self.embedding_dim\n\t\t\n\t\t# Prepare data shape to match rnn function requirements\n\t\t# Current data input shape: [batch_size, num_steps, input_dim]\n\t\t# Required shape: 'num_steps' tensors list of shape [batch_size, input_dim]\n\t\toutput = tf.transpose(output, [1, 0, 2])\n\t\toutput = tf.reshape(output, [-1, input_dim])\n\t\toutput = tf.split(output, self.num_steps, 0)\n\t\t\n\t\tif self.bidirectional:\n\t\t\t# 'num_steps' tensors list of shape [batch_size, rnn_units * 2]\n\t\t\tfw_cell = build_cell(self.rnn_units, self.cell_type, self.rnn_layers)\n\t\t\tbw_cell = build_cell(self.rnn_units, self.cell_type, self.rnn_layers)\n\t\t\toutput, state_fw, state_bw = rnn.static_bidirectional_rnn(\n\t\t\t\tfw_cell, bw_cell, output, dtype=tf.float32, sequence_length=self.seq_len, scope='encoder')\n\t\t\t\n\t\t\tif isinstance(state_fw, tf.contrib.rnn.LSTMStateTuple):\n\t\t\t\tencoder_state_c = tf.concat([state_fw.c, state_bw.c], axis=1, name='bidirectional_concat_c')\n\t\t\t\tencoder_state_h = tf.concat([state_fw.h, state_bw.h], axis=1, name='bidirectional_concat_h')\n\t\t\t\tstate = tf.contrib.rnn.LSTMStateTuple(c=encoder_state_c, h=encoder_state_h)\n\t\t\telif isinstance(state_fw, tf.Tensor):\n\t\t\t\tstate = tf.concat([state_fw, state_bw], axis=1, name='bidirectional_concat')\n\t\t\telse:\n\t\t\t\traise ValueError\n\t\telse:\n\t\t\t# 'num_steps' tensors list of shape [batch_size, rnn_units]\n\t\t\tcell = build_cell(self.rnn_units, self.cell_type, self.rnn_layers)\n\t\t\toutput, state = rnn.static_rnn(cell, output, dtype=tf.float32, sequence_length=self.seq_len,\n\t\t\t\t\t\t\t\t\t\t   scope='encoder')\n\t\t\n\t\toutput = tf.stack(output, axis=0)  # [num_steps, batch_size, rnn_units]\n\t\toutput = tf.transpose(output, [1, 0, 2])  # [batch_size, num_steps, rnn_units]\n\t\tself.encoder_output = output\n\t\tself.encoder_state = state\n\t\treturn output, state\n\n\nclass WiderActorNet:\n\tdef __init__(self, out_dim, num_steps, net_type='simple', net_config=None):\n\t\tself.out_dim = out_dim\n\t\tself.num_steps = num_steps\n\t\tself.net_type = net_type\n\t\tself.net_config = net_config\n\t\t\n\t\t# placeholder\n\t\tself.decision, self.probs = None, None\n\t\n\tdef build_forward(self, _input):\n\t\toutput = _input  # [batch_size, num_steps, rnn_units]\n\t\tfeature_dim = int(output.get_shape()[2])  # rnn_units\n\t\toutput = tf.reshape(output, [-1, feature_dim])  # [batch_size * num_steps, rnn_units]\n\t\tfinal_activation = 'sigmoid' if self.out_dim == 1 else 'softmax'\n\t\tif self.net_type == 'simple':\n\t\t\tnet_config = [] if self.net_config is None else self.net_config\n\t\t\twith tf.variable_scope('wider_actor'):\n\t\t\t\tfor layer in net_config:\n\t\t\t\t\tunits, activation = layer.get('units'), layer.get('activation', 'relu')\n\t\t\t\t\toutput = BasicModel.fc_layer(output, units, use_bias=True)\n\t\t\t\t\toutput = BasicModel.activation(output, activation)\n\t\t\t\tlogits = BasicModel.fc_layer(output, self.out_dim, use_bias=True)  # [batch_size * num_steps, out_dim]\n\t\t\tprobs = BasicModel.activation(logits, final_activation)  # [batch_size * num_steps, out_dim]\n\t\t\tprobs_dim = self.out_dim\n\t\t\tif self.out_dim == 1:\n\t\t\t\tprobs = tf.concat([1 - probs, probs], axis=1)\n\t\t\t\tprobs_dim = 2\n\t\t\t\t\n\t\t\tself.decision = tf.multinomial(tf.log(probs), 1)  # [batch_size * num_steps, 1]\n\t\t\tself.decision = tf.reshape(self.decision, [-1, self.num_steps])  # [batch_size, num_steps]\n\t\t\tself.probs = tf.reshape(probs, [-1, self.num_steps, probs_dim])  # [batch_size, num_steps, out_dim]\n\t\telse:\n\t\t\traise ValueError('Do not support %s' % self.net_type)\n\n\nclass DeeperActorNet:\n\tdef __init__(self, decision_num, out_dims, embedding_dim,\n\t\t\t\t cell_type='lstm', rnn_layers=1, attention_config=None):\n\t\tself.decision_num = decision_num\n\t\tself.out_dims = out_dims\n\t\tself.embedding_dim = embedding_dim\n\t\t\n\t\tself.cell_type = cell_type\n\t\tself.rnn_layers = rnn_layers\n\t\tself.attention_config = attention_config\n\t\t\n\t\t# placeholder\n\t\tself.block_layer_num = None\n\t\t# op\n\t\tself.decision, self.probs = None, None\n\t\n\tdef _define_input(self):\n\t\tself.block_layer_num = tf.placeholder(\n\t\t\ttf.int32,\n\t\t\tshape=[None, self.out_dims[0]]\n\t\t)  # [batch_size, block_num]\n\t\n\tdef build_decoder_cell(self, encoder_state):\n\t\tif isinstance(encoder_state, tf.contrib.rnn.LSTMStateTuple):\n\t\t\trnn_units = int(encoder_state.c.get_shape()[1])\n\t\t\tassert self.cell_type == 'lstm', 'Do not match'\n\t\telse:\n\t\t\trnn_units = int(encoder_state.get_shape()[1])\n\t\tcell = build_cell(rnn_units, self.cell_type, self.rnn_layers)\n\t\treturn cell\n\t\n\tdef build_forward(self, encoder_output, encoder_state, is_training, decision_trajectory):\n\t\tself._define_input()\n\t\tself.decision, self.probs = [], []\n\t\t\n\t\tbatch_size = array_ops.shape(encoder_output)[0]\n\t\tif self.attention_config is None:\n\t\t\tcell = self.build_decoder_cell(encoder_state)\n\t\t\tcell_state = encoder_state\n\t\t\tcell_input = tf.zeros(shape=[batch_size], dtype=tf.int32)\n\t\t\twith tf.variable_scope('deeper_actor'):\n\t\t\t\tfor _i in range(self.decision_num):\n\t\t\t\t\tcell_input_embed = embedding(cell_input, 1 if _i == 0 else self.out_dims[_i - 1],\n\t\t\t\t\t\t\t\t\t\t\t\t self.embedding_dim, name='deeper_actor_embedding_%d' % _i)\n\t\t\t\t\twith tf.variable_scope('rnn', reuse=(_i > 0)):\n\t\t\t\t\t\tcell_output, cell_state = cell(cell_input_embed, cell_state)\n\t\t\t\t\twith tf.variable_scope('classifier_%d' % _i):\n\t\t\t\t\t\tlogits_i = BasicModel.fc_layer(cell_output, self.out_dims[_i], use_bias=True)\n\t\t\t\t\tact_i = 'softmax'\n\t\t\t\t\tprobs_i = BasicModel.activation(logits_i, activation=act_i)  # [batch_size, out_dim_i]\n\t\t\t\t\tif _i == 1:\n\t\t\t\t\t\t# determine the layer index for deeper actor\n\t\t\t\t\t\t# require mask\n\t\t\t\t\t\tone_hot_block_decision = tf.one_hot(cell_input, depth=self.out_dims[0], dtype=tf.int32)\n\t\t\t\t\t\tmax_layer_num = tf.multiply(self.block_layer_num, one_hot_block_decision)\n\t\t\t\t\t\tmax_layer_num = tf.reduce_max(max_layer_num, axis=1)  # [batch_size]\n\t\t\t\t\t\tlayer_mask = tf.sequence_mask(max_layer_num, self.out_dims[1], dtype=tf.float32)\n\t\t\t\t\t\tprobs_i = tf.multiply(probs_i, layer_mask)\n\t\t\t\t\t\t# rescale the sum to 1\n\t\t\t\t\t\tprobs_i = tf.divide(probs_i, tf.reduce_sum(probs_i, axis=1, keep_dims=True))\n\t\t\t\t\tdecision_i = tf.multinomial(tf.log(probs_i), 1)  # [batch_size, 1]\n\t\t\t\t\tdecision_i = tf.cast(decision_i, tf.int32)\n\t\t\t\t\tdecision_i = tf.reshape(decision_i, shape=[-1])  # [batch_size]\n\t\t\t\t\t\n\t\t\t\t\tcell_input = tf.cond(\n\t\t\t\t\t\tis_training,\n\t\t\t\t\t\tlambda: decision_trajectory[:, _i],\n\t\t\t\t\t\tlambda: decision_i,\n\t\t\t\t\t)\n\t\t\t\t\tself.decision.append(decision_i)\n\t\t\t\t\tself.probs.append(probs_i)\n\t\t\t\tself.decision = tf.stack(self.decision, axis=1)  # [batch_size, decision_num]\n\t\telse:\n\t\t\traise NotImplementedError\n\n\n"
  },
  {
    "path": "src/aup/Proposer/eas/meta_controller/rl_controller.py",
    "content": "from ..meta_controller.base_controller import WiderActorNet, DeeperActorNet, EncoderNet, BaseController\nimport tensorflow as tf\nimport os\nfrom tensorflow.python.ops import array_ops\nfrom ..models.basic_model import BasicModel\nimport shutil\nimport numpy as np\n\n\nclass RLNet2NetController(BaseController):\n\tdef save(self, global_step=None):\n\t\tself.saver.save(self.sess, self.save_path, global_step=global_step)\n\t\n\tdef load(self):\n\t\tif os.path.isfile('%s/model.ckpt.index' % self.path):\n\t\t\ttry:\n\t\t\t\tself.saver.restore(self.sess, self.save_path)\n\t\t\texcept Exception:\n\t\t\t\tprint('Failed to to load model '\n\t\t\t\t\t\t\t\t'from save path: %s' % self.save_path)\n\t\t\tprint('Successfully load model from save path: %s' % self.save_path)\n\t\telse:\n\t\t\tprint('No model files in ' + '%s/model.ckpt.index' % self.path)\n\t\n\tdef __init__(self, path, entropy_penalty,\n\t\t\t\t encoder: EncoderNet, wider_actor: WiderActorNet, deeper_actor: DeeperActorNet, opt_config):\n\t\tBaseController.__init__(self, path)\n\t\tself.entropy_penalty = entropy_penalty\n\t\t\n\t\tself.encoder = encoder\n\t\tself.wider_actor = wider_actor\n\t\tself.deeper_actor = deeper_actor\n\t\tself.opt_config = opt_config\n\t\t\n\t\tself.graph = tf.Graph()\n\t\tself.obj, self.train_step = None, None\n\t\twith self.graph.as_default():\n\t\t\tself._define_input()\n\t\t\tself.build_forward()\n\t\t\tself.build_training_process()\n\t\t\tself.global_variables_initializer = tf.global_variables_initializer()\n\t\t\tself.saver = tf.train.Saver()\n\t\tself._initialize_session()\n\t\n\tdef _define_input(self):\n\t\tself.learning_rate = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=[],\n\t\t\tname='learning_rate')\n\t\tself.is_training = tf.placeholder(tf.bool, shape=[], name='is_training')\n\t\tself.wider_seg_deeper = tf.placeholder(tf.int32, shape=[], name='wider_seg_deeper')\n\t\t\n\t\tself.wider_decision_trajectory = tf.placeholder(\n\t\t\ttf.int32,\n\t\t\tshape=[None, self.encoder.num_steps],\n\t\t\tname='wider_decision_trajectory',\n\t\t)  # [wider_batch_size, num_steps]\n\t\tself.wider_decision_mask = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=[None, self.encoder.num_steps],\n\t\t\tname='wider_decision_mask',\n\t\t)  # [wider_batch_size, num_steps]\n\t\t\n\t\tself.deeper_decision_trajectory = tf.placeholder(\n\t\t\ttf.int32,\n\t\t\tshape=[None, self.deeper_actor.decision_num],\n\t\t\tname='deeper_decision_trajectory',\n\t\t)  # [deeper_batch_size, deeper_decision_num]\n\t\t\n\t\tself.deeper_decision_mask = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=[None, self.deeper_actor.decision_num],\n\t\t\tname='deeper_decision_mask',\n\t\t)  # [deeper_batch_size, deeper_decision_num]\n\t\t\n\t\tself.reward = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=[None],\n\t\t\tname='reward',\n\t\t)  # [batch_size]\n\t\tself.has_deeper = tf.placeholder(\n\t\t\ttf.bool,\n\t\t\tshape=[],\n\t\t\tname='has_deeper',\n\t\t)\n\t\t\n\tdef update_controller(self, learning_rate, wider_seg_deeper, wider_decision_trajectory, wider_decision_mask,\n\t\t\t\t\t\t  deeper_decision_trajectory, deeper_decison_mask, reward, block_layer_num, input_seq, seq_len):\n\t\thas_deeper = wider_seg_deeper < len(input_seq)\n\t\tfeed_dict = {\n\t\t\tself.learning_rate: learning_rate,\n\t\t\tself.wider_seg_deeper: wider_seg_deeper,\n\t\t\tself.wider_decision_trajectory: wider_decision_trajectory,\n\t\t\tself.wider_decision_mask: wider_decision_mask,\n\t\t\tself.deeper_decision_trajectory: deeper_decision_trajectory,\n\t\t\tself.deeper_decision_mask: deeper_decison_mask,\n\t\t\tself.reward: reward,\n\t\t\tself.is_training: True and has_deeper,\n\t\t\tself.deeper_actor.block_layer_num: block_layer_num,\n\t\t\tself.encoder.input_seq: input_seq,\n\t\t\tself.encoder.seq_len: seq_len,\n\t\t\tself.has_deeper: has_deeper,\n\t\t}\n\t\tself.sess.run(self.train_step, feed_dict=feed_dict)\n\t\t\n\tdef build_forward(self):\n\t\tencoder_output, encoder_state = self.encoder.build()\n\t\tfeed2wider_output = encoder_output[:self.wider_seg_deeper]\n\t\tfeed2deeper_output = encoder_output[self.wider_seg_deeper:]\n\t\tif isinstance(encoder_state, tf.contrib.rnn.LSTMStateTuple):\n\t\t\tencoder_state_c = encoder_state.c\n\t\t\tencoder_state_h = encoder_state.h\n\t\t\t\n\t\t\tfeed2wider_c = encoder_state_c[:self.wider_seg_deeper]\n\t\t\tfeed2wider_h = encoder_state_h[:self.wider_seg_deeper]\n\t\t\tfeed2wider_state = tf.contrib.rnn.LSTMStateTuple(c=feed2wider_c, h=feed2wider_h)\n\t\t\t\n\t\t\tfeed2deeper_c = encoder_state_c[self.wider_seg_deeper:]\n\t\t\tfeed2deeper_h = encoder_state_h[self.wider_seg_deeper:]\n\t\t\tfeed2deeper_state = tf.contrib.rnn.LSTMStateTuple(c=feed2deeper_c, h=feed2deeper_h)\n\t\telif isinstance(encoder_state, tf.Tensor):\n\t\t\tfeed2wider_state = encoder_state[:self.wider_seg_deeper]\n\t\t\tfeed2deeper_state = encoder_state[self.wider_seg_deeper:]\n\t\telse:\n\t\t\traise ValueError\n\t\t\n\t\tself.wider_actor.build_forward(feed2wider_output)\n\t\tself.deeper_actor.build_forward(feed2deeper_output, feed2deeper_state, self.is_training,\n\t\t\t\t\t\t\t\t\t\tself.deeper_decision_trajectory)\n\t\t\n\tdef build_training_process(self):\n\t\traise NotImplementedError\n\t\n\tdef sample_wider_decision(self, input_seq, seq_len):\n\t\tbatch_size = len(seq_len)\n\t\twider_decision, wider_probs = self.sess.run(\n\t\t\tfetches=[self.wider_actor.decision, self.wider_actor.probs],\n\t\t\tfeed_dict={\n\t\t\t\tself.encoder.input_seq: input_seq,\n\t\t\t\tself.encoder.seq_len: seq_len,\n\t\t\t\tself.wider_seg_deeper: batch_size,\n\t\t\t}\n\t\t)  # [batch_size, num_steps]\n\t\treturn wider_decision, wider_probs\n\t\n\tdef sample_deeper_decision(self, input_seq, seq_len, block_layer_num):\n\t\tdeeper_decision, deeper_probs = self.sess.run(\n\t\t\tfetches=[self.deeper_actor.decision, self.deeper_actor.probs],\n\t\t\tfeed_dict={\n\t\t\t\tself.encoder.input_seq: input_seq,\n\t\t\t\tself.encoder.seq_len: seq_len,\n\t\t\t\tself.wider_seg_deeper: 0,\n\t\t\t\tself.is_training: False,\n\t\t\t\tself.deeper_actor.block_layer_num: block_layer_num,\n\t\t\t\tself.deeper_decision_trajectory: -np.ones([len(seq_len), self.deeper_actor.decision_num])\n\t\t\t}\n\t\t)  # [batch_size, decision_num]\n\t\treturn deeper_decision, deeper_probs\n\t\n\tdef _initialize_session(self):\n\t\tconfig = tf.ConfigProto()\n\t\t# restrict model GPU memory utilization to min required\n\t\tconfig.gpu_options.allow_growth = True\n\t\tself.sess = tf.Session(graph=self.graph, config=config)\n\t\t\n\t\tself.sess.run(self.global_variables_initializer)\n\t\tshutil.rmtree(self.logs_path, ignore_errors=True)\n\t\tself.summary_writer = tf.summary.FileWriter(self.logs_path, graph=self.graph)\n\n\tdef get_wider_entropy(self):\n\t\twider_entropy = -tf.multiply(tf.log(self.wider_actor.probs), self.wider_actor.probs)\n\t\twider_entropy = tf.reduce_sum(wider_entropy, axis=2)\n\t\twider_entropy = tf.multiply(wider_entropy, self.wider_decision_mask)\n\t\twider_entropy = tf.div(tf.reduce_sum(wider_entropy, axis=1), tf.reduce_sum(self.wider_decision_mask, axis=1))\n\t\twider_entropy = tf.reduce_mean(wider_entropy)\n\t\treturn wider_entropy\n\t\n\tdef get_deeper_entropy(self):\n\t\tdeeper_entropy = []\n\t\tfor _i in range(self.deeper_actor.decision_num):\n\t\t\tdeeper_probs = self.deeper_actor.probs[_i]\n\t\t\tentropy = -tf.multiply(tf.log(deeper_probs + 1e-10), deeper_probs)\n\t\t\tentropy = tf.reduce_sum(entropy, axis=1)\n\t\t\tdeeper_entropy.append(entropy)\n\t\tdeeper_entropy = tf.reduce_mean(deeper_entropy)\n\t\treturn deeper_entropy\n\t\n\nclass ReinforceNet2NetController(RLNet2NetController):\n\tdef build_training_process(self):\n\t\twider_side_obj, wider_entropy = tf.cond(\n\t\t\ttf.greater(self.wider_seg_deeper, 0),\n\t\t\tlambda: self.get_wider_side_obj(),\n\t\t\tlambda: (tf.constant(0.0, dtype=tf.float32), tf.constant(0.0, dtype=tf.float32))\n\t\t)\n\t\tbatch_size = array_ops.shape(self.reward)[0]\n\t\tdeeper_side_obj, deeper_entropy = tf.cond(\n\t\t\tself.has_deeper,\n\t\t\tlambda: self.get_deeper_side_obj(),\n\t\t\tlambda: (tf.constant(0.0, dtype=tf.float32), tf.constant(0.0, dtype=tf.float32))\n\t\t)\n\t\tself.obj = wider_side_obj + deeper_side_obj\n\t\tentropy_term = wider_entropy * tf.cast(self.wider_seg_deeper, tf.float32) + \\\n\t\t\t\t\t   deeper_entropy * tf.cast(batch_size - self.wider_seg_deeper, tf.float32)\n\t\tentropy_term /= tf.cast(batch_size, tf.float32)\n\t\t\n\t\toptimizer = BasicModel.build_optimizer(self.learning_rate, self.opt_config[0], self.opt_config[1])\n\t\tself.train_step = optimizer.minimize(- self.obj - self.entropy_penalty * entropy_term)\n\t\t\n\tdef get_wider_side_obj(self):\n\t\twider_side_reward = self.reward[:self.wider_seg_deeper]\n\n\t\t# obj from wider side\n\t\twider_trajectory = tf.one_hot(self.wider_decision_trajectory, depth=max(self.wider_actor.out_dim, 2))\n\t\twider_probs = tf.reduce_max(tf.multiply(wider_trajectory, self.wider_actor.probs), axis=2)\n\t\twider_probs = tf.log(wider_probs)  # [wider_batch_size, num_steps]\n\t\twider_probs = tf.multiply(wider_probs, self.wider_decision_mask)\n\t\twider_probs = tf.multiply(wider_probs, tf.reshape(wider_side_reward, shape=[-1, 1]))\n\t\t\n\t\twider_side_obj = tf.reduce_sum(wider_probs)\n\t\treturn wider_side_obj, self.get_wider_entropy()\n\t\n\tdef get_deeper_side_obj(self):\n\t\tdeeper_side_reward = self.reward[self.wider_seg_deeper:]\n\n\t\t# obj from deeper side\n\t\tdeeper_side_obj = []\n\t\tfor _i in range(self.deeper_actor.decision_num):\n\t\t\tdecision_trajectory = self.deeper_decision_trajectory[:, _i]\n\t\t\tdeeper_decision_mask = self.deeper_decision_mask[:, _i]\n\t\t\tdecision_trajectory = tf.one_hot(decision_trajectory, depth=self.deeper_actor.out_dims[_i])\n\t\t\tdeeper_probs = tf.reduce_max(tf.multiply(decision_trajectory, self.deeper_actor.probs[_i]), axis=1)\n\t\t\tdeeper_probs = tf.log(deeper_probs)  # [deeper_batch_size]\n\t\t\tdeeper_probs = tf.multiply(deeper_probs, deeper_decision_mask)\n\t\t\tdeeper_probs = tf.multiply(deeper_probs, deeper_side_reward)\n\t\t\t\n\t\t\tdeeper_side_obj.append(tf.reduce_sum(deeper_probs))\n\t\tdeeper_side_obj = tf.reduce_sum(deeper_side_obj)\n\t\treturn deeper_side_obj, self.get_deeper_entropy()\n\n"
  },
  {
    "path": "src/aup/Proposer/eas/models/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/eas/models/basic_model.py",
    "content": "import os\nimport shutil\nimport tensorflow as tf\nimport numpy as np\nimport time\nfrom datetime import timedelta\nimport json\nimport pickle\n\t\n\nclass BasicModel:\n\tdef __init__(self, path, data_provider, run_config, net_config, pure=False, only_forward=False):\n\t\tif only_forward: pure = True\n\t\tself.graph = tf.Graph()\n\t\t\n\t\tself.data_provider = data_provider\n\t\tself._path = path\n\t\tself.run_config = run_config\n\t\tself.net_config = net_config\n\t\t\n\t\tself.data_shape = data_provider.data_shape\n\t\tself.n_classes = data_provider.n_classes\n\t\t\n\t\tself._save_path, self._logs_path = None, None\n\t\tself.batches_step = 0\n\t\t\n\t\tself.cross_entropy, self.train_step, self.accuracy = None, None, None\n\t\twith self.graph.as_default():\n\t\t\tself._define_inputs()\n\t\t\tself._build_graph(only_forward=only_forward)\n\t\t\tself.global_variables_initializer = tf.global_variables_initializer()\n\t\t\tif not pure:\n\t\t\t\tself._count_trainable_params()\n\t\t\t\tself.saver = tf.train.Saver()\n\t\tself._initialize_session(set_logs=(not pure))\n\t\n\t@property\n\tdef save_path(self):\n\t\tif self._save_path is None:\n\t\t\tsave_path = '%s/checkpoint' % self._path\n\t\t\tos.makedirs(save_path, exist_ok=True)\n\t\t\tsave_path = os.path.join(save_path, 'model.ckpt')\n\t\t\tself._save_path = save_path\n\t\treturn self._save_path\n\t\n\t@property\n\tdef logs_path(self):\n\t\tif self._logs_path is None:\n\t\t\tlogs_path = '%s/logs' % self._path\n\t\t\tif self.run_config.renew_logs:\n\t\t\t\tshutil.rmtree(logs_path, ignore_errors=True)\n\t\t\tos.makedirs(logs_path, exist_ok=True)\n\t\t\tself._logs_path = logs_path\n\t\treturn self._logs_path\n\t\n\tdef _build_graph(self, only_forward=False):\n\t\traise NotImplementedError\n\t\n\tdef _define_inputs(self):\n\t\tshape = [None]\n\t\tshape.extend(self.data_shape)\n\t\tself.images = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=shape,\n\t\t\tname='input_images')\n\t\tself.labels = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=[None, self.n_classes],\n\t\t\tname='labels')\n\t\tself.learning_rate = tf.placeholder(\n\t\t\ttf.float32,\n\t\t\tshape=[],\n\t\t\tname='learning_rate')\n\t\tself.is_training = tf.placeholder(tf.bool, shape=[], name='is_training')\n\t\t\n\tdef _initialize_session(self, set_logs=True):\n\t\t\"\"\"Initialize session, variables\"\"\"\n\t\tconfig = tf.ConfigProto()\n\t\t# restrict model GPU memory utilization to min required\n\t\tconfig.gpu_options.allow_growth = True\n\t\tself.sess = tf.Session(graph=self.graph, config=config)\n\t\t\n\t\tself.sess.run(self.global_variables_initializer)\n\t\tif set_logs:\n\t\t\tlogswriter = tf.summary.FileWriter\n\t\t\tself.summary_writer = logswriter(self.logs_path, graph=self.graph)\n\t\n\tdef train_all_epochs(self, start_epoch=1):\n\t\tn_epochs = self.run_config.n_epochs\n\t\tlearning_rate = self.run_config.init_lr\n\t\tbatch_size = self.run_config.batch_size\n\t\t\n\t\ttotal_start_time = time.time()\n\t\tfor epoch in range(start_epoch, n_epochs + 1):\n\t\t\tprint('\\n', '-' * 30, 'Train epoch: %d' % epoch, '-' * 30, '\\n')\n\t\t\tstart_time = time.time()\n\t\t\tnew_lr = self.run_config.learning_rate(epoch)\n\t\t\tif new_lr != learning_rate:\n\t\t\t\tlearning_rate = new_lr\n\t\t\t\tprint('Decrease learning rate, new lr = %f' % learning_rate)\n\t\t\t\n\t\t\tprint('Training...')\n\t\t\tloss, acc = self.train_one_epoch(\n\t\t\t\tself.data_provider.train, batch_size, learning_rate)\n\t\t\t# save logs about \"loss\" and \"acc\" if the option is true\n\t\t\tif self.run_config.should_save_logs:\n\t\t\t\tself.log_loss_accuracy(loss, acc, epoch, prefix='train')\n\t\t\t\n\t\t\tif self.run_config.validation_frequency and epoch % self.run_config.validation_frequency == 0:\n\t\t\t\tprint('Validation...')\n\t\t\t\tloss, acc = self.test(self.data_provider.validation, batch_size)\n\t\t\t\tif self.run_config.should_save_logs:\n\t\t\t\t\tself.log_loss_accuracy(loss, acc, epoch, prefix='valid')\n\t\t\t\tif self.run_config.should_save_model:\n\t\t\t\t\tself.save_model()\n\t\t\t\t\tjson.dump({'epoch': epoch + 1}, open('%s/checkpoint/epoch.info' % self._path, 'w'))\n\t\t\t\n\t\t\ttime_per_epoch = time.time() - start_time\n\t\t\tseconds_left = int((n_epochs - epoch) * time_per_epoch)\n\t\t\tprint('Time per epoch: %s, Est. complete in: %s' % (\n\t\t\t\tstr(timedelta(seconds=time_per_epoch)),\n\t\t\t\tstr(timedelta(seconds=seconds_left))))\n\t\t\n\t\tif self.run_config.should_save_model:\n\t\t\tself.save_model()\n\t\t\n\t\ttotal_training_time = time.time() - total_start_time\n\t\tprint('\\nTotal training time: %s' % str(timedelta(\n\t\t\tseconds=total_training_time)))\n\t\n\tdef train_one_epoch(self, data, batch_size, learning_rate):\n\t\tnum_examples = data.num_examples\n\t\ttotal_loss = []\n\t\ttotal_accuracy = []\n\t\tfor i in range(num_examples // batch_size):\n\t\t\tbatch = data.next_batch(batch_size)\n\t\t\timages, labels = batch\n\t\t\tfeed_dict = {\n\t\t\t\tself.images: images,\n\t\t\t\tself.labels: labels,\n\t\t\t\tself.learning_rate: learning_rate,\n\t\t\t\tself.is_training: True,\n\t\t\t}\n\t\t\tfetches = [self.train_step, self.cross_entropy, self.accuracy]\n\t\t\tresult = self.sess.run(fetches, feed_dict=feed_dict)\n\t\t\t_, loss, accuracy = result\n\t\t\ttotal_loss.append(loss)\n\t\t\ttotal_accuracy.append(accuracy)\n\t\t\t# save logs about \"loss\" and \"acc\" if the option is true\n\t\t\tif self.run_config.should_save_logs:\n\t\t\t\tself.batches_step += 1\n\t\t\t\tself.log_loss_accuracy(\n\t\t\t\t\tloss, accuracy, self.batches_step, prefix='per_batch',\n\t\t\t\t\tshould_print=False)\n\t\tmean_loss = np.mean(total_loss)\n\t\tmean_accuracy = np.mean(total_accuracy)\n\t\treturn mean_loss, mean_accuracy\n\t\n\tdef test(self, data, batch_size):\n\t\tnum_examples = data.num_examples\n\t\ttotal_loss = []\n\t\ttotal_accuracy = []\n\t\tfor i in range(num_examples // batch_size):\n\t\t\tbatch = data.next_batch(batch_size)\n\t\t\tfeed_dict = {\n\t\t\t\tself.images: batch[0],\n\t\t\t\tself.labels: batch[1],\n\t\t\t\tself.is_training: False,\n\t\t\t}\n\t\t\tfetches = [self.cross_entropy, self.accuracy]\n\t\t\tloss, accuracy = self.sess.run(fetches, feed_dict=feed_dict)\n\t\t\ttotal_loss.append(loss)\n\t\t\ttotal_accuracy.append(accuracy)\n\t\tmean_loss = np.mean(total_loss)\n\t\tmean_accuracy = np.mean(total_accuracy)\n\t\tremain_num = num_examples % batch_size\n\t\tif remain_num != 0:\n\t\t\tbatch = data.next_batch(remain_num)\n\t\t\tfeed_dict = {\n\t\t\t\tself.images: batch[0],\n\t\t\t\tself.labels: batch[1],\n\t\t\t\tself.is_training: False,\n\t\t\t}\n\t\t\tfetches = [self.cross_entropy, self.accuracy]\n\t\t\tloss, accuracy = self.sess.run(fetches, feed_dict=feed_dict)\n\t\t\t\n\t\t\tmean_loss = (mean_loss * (num_examples - remain_num) + loss * remain_num) / num_examples\n\t\t\tmean_accuracy = (mean_accuracy * (num_examples - remain_num) + accuracy * remain_num) / num_examples\n\t\treturn mean_loss, mean_accuracy\n\t\n\tdef save_config(self, save_path, print_info=True):\n\t\tos.makedirs(save_path, exist_ok=True)\n\t\tnet_save_path = os.path.join(save_path, 'net.config')\n\t\tjson.dump(self.net_config.get_config(), open(net_save_path, 'w'), indent=4)\n\t\tif print_info: print('Network configs dump to %s' % save_path)\n\t\trun_save_path = os.path.join(save_path, 'run.config')\n\t\tjson.dump(self.run_config.get_config(), open(run_save_path, 'w'), indent=4)\n\t\tif print_info: print('Run configs dump to %s' % run_save_path)\n\t\n\tdef save_init(self, save_path, print_info=True):\n\t\tos.makedirs(save_path, exist_ok=True)\n\t\tsave_path = os.path.join(save_path, 'init')\n\t\tto_save_init = self.net_config.renew_init(self)\n\t\tto_save_init['dataset'] = self.run_config.dataset\n\t\tpickle.dump(to_save_init, open(save_path, 'wb'))\n\t\tif print_info: print('Network weights dump to %s' % save_path)\n\t\n\tdef pure_train(self):\n\t\tn_epochs = self.run_config.n_epochs\n\t\tbatch_size = self.run_config.batch_size\n\n\t\tfor epoch in range(1, n_epochs + 1):\n\t\t\tlearning_rate = self.run_config.learning_rate(epoch)\n\t\t\t\n\t\t\t# train one epoch\n\t\t\tdata = self.data_provider.train\n\t\t\tnum_examples = data.num_examples\n\t\t\tfor i in range(num_examples // batch_size):\n\t\t\t\tbatch = data.next_batch(batch_size)\n\t\t\t\timages, labels = batch\n\t\t\t\tfeed_dict = {\n\t\t\t\t\tself.images: images,\n\t\t\t\t\tself.labels: labels,\n\t\t\t\t\tself.learning_rate: learning_rate,\n\t\t\t\t\tself.is_training: True,\n\t\t\t\t}\n\t\t\t\tfetches = self.train_step\n\t\t\t\tself.sess.run(fetches, feed_dict=feed_dict)\n\t\n\tdef save_model(self, global_step=None):\n\t\tself.saver.save(self.sess, self.save_path, global_step=global_step)\n\t\n\tdef load_model(self):\n\t\ttry:\n\t\t\tself.saver.restore(self.sess, self.save_path)\n\t\texcept Exception:\n\t\t\traise IOError('Failed to to load model '\n\t\t\t\t\t\t  'from save path: %s' % self.save_path)\n\t\tprint('Successfully load model from save path: %s' % self.save_path)\n\t\n\tdef log_loss_accuracy(self, loss, accuracy, epoch, prefix, should_print=True, write2file=True):\n\t\tif should_print:\n\t\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\tsummary = tf.Summary(value=[\n\t\t\ttf.Summary.Value(\n\t\t\t\ttag='loss_%s' % prefix, simple_value=float(loss)),\n\t\t\ttf.Summary.Value(\n\t\t\t\ttag='accuracy_%s' % prefix, simple_value=float(accuracy))\n\t\t])\n\t\tself.summary_writer.add_summary(summary, epoch)\n\t\tif write2file and prefix == 'valid':\n\t\t\twith open('%s/console.txt' % self.logs_path, 'a') as fout:\n\t\t\t\tfout.write('%d: mean cross_entropy: %f, mean accuracy: %f\\n' % (epoch, loss, accuracy))\n\t\n\t@staticmethod\n\tdef _count_trainable_params():\n\t\ttotal_parameters = 0\n\t\tfor variable in tf.trainable_variables():\n\t\t\tshape = variable.get_shape()\n\t\t\tvariable_parameters = 1\n\t\t\tfor dim in shape:\n\t\t\t\tvariable_parameters *= dim.value\n\t\t\ttotal_parameters += variable_parameters\n\t\tprint('Total training params: %.2fM' % (total_parameters / 1e6))\n\t\n\t@staticmethod\n\tdef dropout(_input, keep_prob, is_training):\n\t\tif keep_prob < 1:\n\t\t\toutput = tf.cond(\n\t\t\t\tis_training,\n\t\t\t\tlambda: tf.nn.dropout(_input, keep_prob),\n\t\t\t\tlambda: _input\n\t\t\t)\n\t\telse:\n\t\t\toutput = _input\n\t\treturn output\n\t\n\t@staticmethod\n\tdef weight_variable(shape, name, initializer):\n\t\treturn tf.get_variable(\n\t\t\tname,\n\t\t\tshape=shape,\n\t\t\tinitializer=initializer,\n\t\t)\n\t\t\n\t@staticmethod\n\tdef avg_pool(_input, k=2, s=2):\n\t\tksize = [1, k, k, 1]\n\t\tstrides = [1, s, s, 1]\n\t\tpadding = 'VALID'\n\t\t# if stride = 1, keep the image size unchanged\n\t\tif s == 1: padding = 'SAME'\n\t\toutput = tf.nn.avg_pool(_input, ksize, strides, padding)\n\t\treturn output\n\t\n\t@staticmethod\n\tdef max_pool(_input, k=2, s=2):\n\t\tksize = [1, k, k, 1]\n\t\tstrides = [1, s, s, 1]\n\t\tpadding = 'VALID'\n\t\t# if stride = 1, keep the image size unchanged\n\t\tif s == 1: padding = 'SAME'\n\t\toutput = tf.nn.max_pool(_input, ksize, strides, padding)\n\t\treturn output\n\n\t@staticmethod\n\tdef conv2d(_input, out_features, kernel_size, strides=1, padding='SAME', param_initializer=None):\n\t\tif kernel_size == 1: padding = 'VALID'\n\t\t\n\t\tin_features = int(_input.get_shape()[-1])\n\t\tif not param_initializer: param_initializer = {}\n\t\tkernel = BasicModel.weight_variable(\n\t\t\t[kernel_size, kernel_size, in_features, out_features],\n\t\t\tname='kernel',\n\t\t\tinitializer=param_initializer.get('kernel', tf.contrib.layers.variance_scaling_initializer())\n\t\t)\n\t\toutput = tf.nn.conv2d(_input, kernel, [1, strides, strides, 1], padding)\n\t\treturn output\n\t\n\t@staticmethod\n\tdef fc_layer(_input, out_units, use_bias=False, param_initializer=None):\n\t\tfeatures_total = int(_input.get_shape()[-1])\n\t\tif not param_initializer: param_initializer = {}\n\t\tW = BasicModel.weight_variable(\n\t\t\t[features_total, out_units], name='W',\n\t\t\tinitializer=param_initializer.get('W', tf.contrib.layers.xavier_initializer())\n\t\t)\n\t\toutput = tf.matmul(_input, W)\n\t\tif use_bias:\n\t\t\tbias = BasicModel.weight_variable(\n\t\t\t\t[out_units], name='bias',\n\t\t\t\tinitializer=param_initializer.get('bias', tf.constant_initializer([0.0] * out_units))\n\t\t\t)\n\t\t\toutput += bias\n\t\treturn output\n\t\t\n\t@staticmethod\n\tdef batch_norm(_input, is_training, epsilon=1e-3, decay=0.999, param_initializer=None):\n\t\toutput = tf.contrib.layers.batch_norm(\n\t\t\t_input, scale=True, is_training=is_training, param_initializers=param_initializer,\n\t\t\tupdates_collections=None, epsilon=epsilon, decay=decay)\n\t\treturn output\n\n\t@staticmethod\n\tdef activation(_input, activation='relu'):\n\t\tif activation == 'relu':\n\t\t\treturn tf.nn.relu(_input)\n\t\telif activation == 'tanh':\n\t\t\treturn tf.tanh(_input)\n\t\telif activation == 'sigmoid':\n\t\t\treturn tf.sigmoid(_input)\n\t\telif activation == 'softmax':\n\t\t\treturn tf.nn.softmax(_input)\n\t\telif activation is None:\n\t\t\treturn _input\n\t\telse:\n\t\t\traise ValueError('Do not support %s' % activation)\n\n\t@staticmethod\n\tdef build_optimizer(learning_rate, opt_name, opt_param):\n\t\tif opt_name == 'momentum':\n\t\t\treturn tf.train.MomentumOptimizer(learning_rate, **opt_param)\n\t\telif opt_name == 'adam':\n\t\t\treturn tf.train.AdamOptimizer(learning_rate, **opt_param)\n\t\telse:\n\t\t\traise ValueError('Do not support the optimizer type: %s' % opt_name)\n\t\n\t@staticmethod\n\tdef flatten(_input):\n\t\tinput_shape = _input.shape.as_list()\n\t\tif len(input_shape) != 2:\n\t\t\treturn tf.reshape(_input, [-1, np.prod(input_shape[1:])])\n\t\telse:\n\t\t\treturn _input\n"
  },
  {
    "path": "src/aup/Proposer/eas/models/convnet.py",
    "content": "from .basic_model import BasicModel\nfrom ..data_providers.base_provider import DataProvider\nfrom .layers import ConvLayer, PoolLayer, FCLayer\nfrom .layer_cascade import LayerCascade\nimport tensorflow as tf\nimport numpy as np\n\n\nclass SimpleConvnetConfig:\n\tdef __init__(self):\n\t\tself.net_config = {\n\t\t\t'weight_decay': None,\n\t\t\t'bn_epsilon': None,\n\t\t\t'bn_decay': None,\n\t\t\t'drop_scheme': None,\n\t\t}\n\t\tself.layer_cascade = None\n\t\n\t@property\n\tdef weight_decay(self): return self.net_config['weight_decay']\n\t\n\t@property\n\tdef bn_epsilon(self): return self.net_config['bn_epsilon']\n\t\n\t@property\n\tdef bn_decay(self): return self.net_config['bn_decay']\n\t\n\t@property\n\tdef drop_scheme(self): return self.net_config['drop_scheme']\n\t\n\t@property\n\tdef depth(self): return self.layer_cascade.depth\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'SimpleConvnet',\n\t\t\t**self.net_config,\n\t\t\t'layer_cascade': self.layer_cascade.get_config()\n\t\t}\n\n\tdef copy(self):\n\t\tnet_config = SimpleConvnetConfig()\n\t\tnet_config.set_net_from_config(self.get_config(), self.renew_init(None), print_info=False)\n\t\treturn net_config\n\t\n\tdef renew_init(self, convnet):\n\t\treturn {\n\t\t\t'layer_cascade': self.layer_cascade.renew_init(convnet)\n\t\t}\n\t\n\tdef set_standard_convnet(self, data_provider: DataProvider, conv_blocks_config, fc_block_config, weight_decay,\n\t\t\t\t\t\t\t drop_scheme, bn_epsilon, bn_decay, print_info=True, **kwargs):\n\t\tself.net_config = {\n\t\t\t'weight_decay': weight_decay,\n\t\t\t'bn_epsilon': bn_epsilon,\n\t\t\t'bn_decay': bn_decay,\n\t\t\t'drop_scheme': drop_scheme,\n\t\t}\n\t\t\n\t\timage_size = data_provider.data_shape[0]\n\t\t\n\t\tlayers = []\n\t\tconv_id = 0\n\t\tfor _i, block_config in enumerate(conv_blocks_config):\n\t\t\tnum_layers, kernel_size, filter_num = block_config\n\t\t\tfor _j in range(num_layers):\n\t\t\t\tkeep_prob = 1.0\n\t\t\t\tif 'conv' in drop_scheme['type']:\n\t\t\t\t\tkeep_prob = 1.0 if _i + _j == 0 else drop_scheme.get('conv_drop', 1.0)\n\t\t\t\tconv_layer = ConvLayer('conv_%d' % conv_id, filter_num, kernel_size=kernel_size, keep_prob=keep_prob,\n\t\t\t\t\t\t\t\t\t   pre_activation=False)\n\t\t\t\tconv_id += 1\n\t\t\t\tlayers.append(conv_layer)\n\t\t\tif _i < len(conv_blocks_config) - 1:\n\t\t\t\tkeep_prob = 1.0\n\t\t\t\tif 'pool' in drop_scheme['type']:\n\t\t\t\t\tkeep_prob = drop_scheme.get('pool_drop', 1.0)\n\t\t\t\tpool_layer = PoolLayer('pool_%d' % _i, 'max', keep_prob=keep_prob, pre_activation=False)\n\t\t\t\tlayers.append(pool_layer)\n\t\t\t\timage_size = image_size // 2\n\t\tglobal_avg_pool = PoolLayer('pool_%d' % len(conv_blocks_config), 'avg',\n\t\t\t\t\t\t\t\t\tkernel_size=image_size, strides=image_size, pre_activation=False)\n\t\tlayers.append(global_avg_pool)\n\t\tfor _i, units in enumerate(fc_block_config):\n\t\t\tkeep_prob = 1.0\n\t\t\tif 'fc' in drop_scheme['type']:\n\t\t\t\tkeep_prob = drop_scheme.get('fc_drop', 1.0)\n\t\t\tfc_layer = FCLayer('fc_%d' % _i, units, keep_prob=keep_prob)\n\t\t\tlayers.append(fc_layer)\n\t\tfinal_fc_layer = FCLayer('fc_%d' % len(fc_block_config), data_provider.n_classes, use_bn=False, use_bias=True,\n\t\t\t\t\t\t\t\t activation=None)\n\t\tlayers.append(final_fc_layer)\n\t\tself.layer_cascade = LayerCascade('SimpleConvNet', layers)\n\t\t\n\t\tif print_info:\n\t\t\tpass\n\t\treturn self\n\t\n\tdef set_net_from_config(self, net_config_json, init=None, print_info=True):\n\t\tfor key in self.net_config.keys():\n\t\t\tself.net_config[key] = net_config_json[key]\n\t\tinit = init['layer_cascade'] if init is not None else None\n\t\tself.layer_cascade = LayerCascade.set_from_config(net_config_json['layer_cascade'], init)\n\t\tif print_info:\n\t\t\tpass\n\t\treturn self\n\t\n\tdef widen(self, layer_idx, new_width, widen_type='output_dim', noise=None):\n\t\tchange_out_dim, _, _ = self.layer_cascade.widen(layer_idx, new_width, widen_type, noise)\n\t\tif change_out_dim:\n\t\t\traise ValueError('Can not change the final logits number')\n\t\n\tdef deepen(self, layer_idx, new_layer_config):\n\t\treturn self.layer_cascade.deepen(layer_idx, new_layer_config, None)\n\t\n\tdef set_identity4deepen(self, to_set_layers, data_provider, batch_size, batch_num=1, strict=True, noise=None):\n\t\t\"\"\"\n\t\tto_set_layers = [(new_layer, prev_layer), ...]\n\t\t\"\"\"\n\t\ttask_list = {}\n\t\tfor new_layer, prev_layer in to_set_layers:\n\t\t\tif new_layer.ready: continue\n\t\t\tif new_layer.use_bn and strict:\n\t\t\t\ttask_id = id(prev_layer)\n\t\t\t\tif task_id in task_list:\n\t\t\t\t\ttask_list[task_id][1].append(new_layer)\n\t\t\t\telse:\n\t\t\t\t\ttask_list[task_id] = (prev_layer, [new_layer])\n\t\t\telse:\n\t\t\t\tnew_layer.set_identity_layer(strict=strict, noise=noise)\n\t\tif len(task_list) > 0:\n\t\t\tmodel = SimpleConvnet(None, data_provider, None, net_config=self, only_forward=True)\n\t\t\ttask_list = list(task_list.values())\n\t\t\tfetches = [prev_layer.output_op for prev_layer, _ in task_list]\n\t\t\tstatistics = [[0, 0] for _ in task_list]\n\t\t\tfor _i in range(batch_num):\n\t\t\t\tinput_images, _ = data_provider.train.next_batch(batch_size)\n\t\t\t\toutputs = model.sess.run(fetches, feed_dict={model.images: input_images, model.is_training: False})\n\t\t\t\tfor _j, out in enumerate(outputs):\n\t\t\t\t\tout = out.astype('float32')\n\t\t\t\t\taxis = tuple(range(len(out.shape) - 1))\n\t\t\t\t\tmean = np.mean(out, axis=axis, keepdims=True)\n\t\t\t\t\tvariance = np.mean(np.square(out - mean), axis=axis, keepdims=True)\n\t\t\t\t\tmean, variance = np.squeeze(mean), np.squeeze(variance)\n\t\t\t\t\tstatistics[_j][0] += mean\n\t\t\t\t\tstatistics[_j][1] += variance\n\t\t\tfor _j, (prev_layer, new_layers) in enumerate(task_list):\n\t\t\t\tmean, variance = statistics[_j][0] / batch_num, statistics[_j][1] / batch_num\n\t\t\t\tfor new_layer in new_layers:\n\t\t\t\t\tif new_layer.ready: continue\n\t\t\t\t\tparam = {\n\t\t\t\t\t\t'moving_mean': mean,\n\t\t\t\t\t\t'moving_variance': variance,\n\t\t\t\t\t\t'epsilon': self.bn_epsilon,\n\t\t\t\t\t}\n\t\t\t\t\tnew_layer.set_identity_layer(strict=strict, param=param, noise=noise)\n\t\n\t\nclass SimpleConvnet(BasicModel):\n\tdef _build_graph(self, only_forward=False):\n\t\t_input = self.images\n\t\toutput = _input\n\t\t\n\t\toutput = self.net_config.layer_cascade.build(output, self, store_output_op=only_forward)\n\t\t\n\t\tif not only_forward:\n\t\t\tlogits = output\n\t\t\twith tf.variable_scope('L2_Loss'):\n\t\t\t\tl2_loss = tf.add_n([tf.nn.l2_loss(var) for var in tf.trainable_variables()])\n\t\t\t\n\t\t\tprediction = tf.nn.softmax(logits)\n\t\t\t\n\t\t\t# losses\n\t\t\tcross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(\n\t\t\t\tlogits=logits, labels=self.labels))\n\t\t\tself.cross_entropy = cross_entropy\n\t\t\t\n\t\t\t# optimizer and train step\n\t\t\toptimizer = self.build_optimizer(self.learning_rate,\n\t\t\t\t\t\t\t\t\t\t\t self.run_config.opt_config[0], self.run_config.opt_config[1])\n\t\t\tself.train_step = optimizer.minimize(\n\t\t\t\tcross_entropy + l2_loss * self.net_config.weight_decay)\n\t\t\tcorrect_prediction = tf.equal(\n\t\t\t\ttf.argmax(prediction, 1),\n\t\t\t\ttf.argmax(self.labels, 1))\n\t\t\tself.accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))\n"
  },
  {
    "path": "src/aup/Proposer/eas/models/dense_net.py",
    "content": "import tensorflow as tf\nfrom .basic_model import BasicModel\nfrom .layers import ConvLayer, FCLayer, PoolLayer, get_magnifier, apply_noise\nfrom ..data_providers.base_provider import DataProvider\nfrom .layer_cascade import LayerCascade\nfrom .layer_multi_branch import LayerMultiBranch\nimport numpy as np\n\n\ndef get_block_by_name(name):\n\tif name == 'transition':\n\t\treturn TransitionBlock\n\telif name == 'dense_block':\n\t\treturn DenseBlock\n\telse:\n\t\traise ValueError('Unsupported block type: %s' % name)\n\t\n\nclass TransitionBlock(LayerCascade):\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'transition',\n\t\t\t**super(TransitionBlock, self).get_config(),\n\t\t}\n\t\t\n\t@staticmethod\n\tdef set_from_config(config_json, init=None, return_class=True):\n\t\t_id, layers = LayerCascade.set_from_config(config_json, init, return_class=False)\n\t\treturn TransitionBlock(_id, layers)\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tsuper(TransitionBlock, self).prev_widen(indices, magnifier, noise=noise)\n\t\treturn False, None, None\n\t\n\tdef widen(self, loc, new_width, widen_type='output_dim', noise=None, input_dim=None):\n\t\treturn super(TransitionBlock, self).widen(loc['layer'], new_width, widen_type, noise=noise)\n\t\n\tdef deepen(self, loc, new_layer_config, input_dim):\n\t\treturn super(TransitionBlock, self).deepen(loc['layer'], new_layer_config, input_dim)\n\t\n\nclass DenseBlock:\n\tdef __init__(self, _id, miniblocks):\n\t\tself._id = _id\n\t\tself.miniblocks = miniblocks\n\t\t\n\t\tself.output_op = None\n\t\n\t@property\n\tdef id(self):\n\t\treturn self._id\n\t\n\t@id.setter\n\tdef id(self, value):\n\t\tself._id = value\n\t\n\t@property\n\tdef depth(self):\n\t\tdepth = 0\n\t\tfor miniblock in self.miniblocks:\n\t\t\tdepth += miniblock.depth\n\t\treturn depth\n\t\n\tdef out_features_dim(self, in_features_dim):\n\t\tout_features_dim = in_features_dim\n\t\tfor miniblock in self.miniblocks:\n\t\t\tout_features_dim += miniblock.out_features_dim\n\t\treturn out_features_dim\n\t\n\tdef build(self, _input, densenet, store_output_op=False):\n\t\toutput = _input\n\t\twith tf.variable_scope(self._id):\n\t\t\tfor miniblock in self.miniblocks:\n\t\t\t\tcomp_out = miniblock.build(output, densenet, store_output_op=store_output_op)\n\t\t\t\toutput = tf.concat(axis=3, values=(output, comp_out))\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'dense_block',\n\t\t\t'_id': self._id,\n\t\t\t'miniblocks': [miniblock.get_config() for miniblock in self.miniblocks]\n\t\t}\n\t\n\tdef renew_init(self, densenet):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'miniblocks': [miniblock.renew_init(densenet) for miniblock in self.miniblocks]\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(config_json, init=None):\n\t\t_id = config_json['_id']\n\t\tminiblocks = []\n\t\tfor _i, miniblock_config in enumerate(config_json['miniblocks']):\n\t\t\tminiblock_init = init['miniblocks'][_i] if init is not None else None\n\t\t\tminiblock = LayerMultiBranch.set_from_config(miniblock_config, miniblock_init)\n\t\t\tminiblocks.append(miniblock)\n\t\treturn DenseBlock(_id, miniblocks)\n\t\n\t\"\"\"\n\tNetwork Transformation Operations\n\t\"\"\"\n\tdef insert_miniblock(self, idx, miniblock_config, input_dim, noise=None, scheme=0):\n\t\tassert 0 <= idx < len(self.miniblocks), 'Invalid miniblock index %d' % idx\n\t\tif miniblock_config['bc_mode']:\n\t\t\t# DenseNet-BC\n\t\t\tif scheme == 0:\n\t\t\t\tcopy_idx = idx\n\t\t\t\tcopy_miniblock = self.miniblocks[copy_idx]\n\t\t\t\tnew_in_bottle = copy_miniblock.in_bottle.copy()\n\t\t\t\tnew_in_layer = new_in_bottle.layers[0]\n\t\t\t\tpad_kernel_shape = list(new_in_layer.init['kernel'].shape)\n\t\t\t\tpad_kernel_shape[2] = copy_miniblock.out_features_dim\n\t\t\t\tnew_in_layer.init['kernel'] = \\\n\t\t\t\t\tnp.concatenate([new_in_layer.init['kernel'], np.zeros(pad_kernel_shape)], axis=2)\n\t\t\t\tif new_in_layer.pre_activation and new_in_layer.use_bn:\n\t\t\t\t\tnew_in_layer.init['beta'] = \\\n\t\t\t\t\t\tnp.concatenate([new_in_layer.init['beta'], np.zeros([copy_miniblock.out_features_dim])])\n\t\t\t\t\tnew_in_layer.init['gamma'] = \\\n\t\t\t\t\t\tnp.concatenate([new_in_layer.init['gamma'], np.ones([copy_miniblock.out_features_dim])])\n\t\t\t\t\tnew_in_layer.init['moving_mean'] = \\\n\t\t\t\t\t\tnp.concatenate([new_in_layer.init['moving_mean'], np.zeros([copy_miniblock.out_features_dim])])\n\t\t\t\t\tnew_in_layer.init['moving_variance'] = \\\n\t\t\t\t\t\tnp.concatenate([new_in_layer.init['moving_variance'], np.ones([copy_miniblock.out_features_dim])])\n\t\t\t\tnew_in_layer.init['kernel'] = apply_noise(new_in_layer.init['kernel'], noise.get('wider'))\n\t\t\t\tif copy_miniblock.out_bottle is None:\n\t\t\t\t\tnew_branches, indices = copy_miniblock.remapped_branches(noise=noise)\n\t\t\t\t\tnew_miniblock = LayerMultiBranch('M_%d' % (idx + 2), new_branches,\n\t\t\t\t\t\t\t\t\t\t\t\t\t merge=copy_miniblock.merge, in_bottle=new_in_bottle)\n\t\t\t\t\told_size = len(indices)\n\t\t\t\t\tindices = np.concatenate([np.arange(old_size), indices])\n\t\t\t\t\tmagnifier = get_magnifier(old_size, indices)\n\t\t\t\t\t\n\t\t\t\t\tprev_miniblock_out_dim = input_dim\n\t\t\t\t\tfor _i in range(0, idx):\n\t\t\t\t\t\tprev_miniblock_out_dim += self.miniblocks[_i].out_features_dim\n\t\t\t\t\tindices = np.concatenate([\n\t\t\t\t\t\tnp.arange(prev_miniblock_out_dim),\n\t\t\t\t\t\tindices + prev_miniblock_out_dim,\n\t\t\t\t\t])\n\t\t\t\t\tmagnifier = np.concatenate([\n\t\t\t\t\t\t[1] * prev_miniblock_out_dim,\n\t\t\t\t\t\tmagnifier,\n\t\t\t\t\t])\n\t\t\t\t\tprev_miniblock_out_dim += old_size\n\t\t\t\t\tfor _i in range(idx + 1, len(self.miniblocks)):\n\t\t\t\t\t\tminiblock_out_dim = self.miniblocks[_i].out_features_dim\n\t\t\t\t\t\tself.miniblocks[_i].id = 'M_%d' % (_i + 2)\n\t\t\t\t\t\tself.miniblocks[_i].prev_widen(indices, magnifier, noise=noise)\n\t\t\t\t\t\tindices = np.concatenate([\n\t\t\t\t\t\t\tindices,\n\t\t\t\t\t\t\tnp.arange(prev_miniblock_out_dim, prev_miniblock_out_dim + miniblock_out_dim)\n\t\t\t\t\t\t])\n\t\t\t\t\t\tmagnifier = np.concatenate([\n\t\t\t\t\t\t\tmagnifier,\n\t\t\t\t\t\t\t[1] * miniblock_out_dim,\n\t\t\t\t\t\t])\n\t\t\t\t\t\tprev_miniblock_out_dim += miniblock_out_dim\n\t\t\t\t\tself.miniblocks = self.miniblocks[:idx + 1] + [new_miniblock] + self.miniblocks[idx + 1:]\n\t\t\t\t\treturn indices, magnifier\n\t\t\t\telse:\n\t\t\t\t\traise NotImplementedError\n\t\t\telse:\n\t\t\t\t# identity scheme\n\t\t\t\traise NotImplementedError\n\t\telse:\n\t\t\t# DenseNet without BC\n\t\t\traise NotImplementedError\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\told_size = np.max(indices) + 1\n\t\tprev_miniblock_out_dim = old_size\n\t\tfor miniblock in self.miniblocks:\n\t\t\tminiblock_out_dim = miniblock.out_features_dim\n\t\t\tminiblock.prev_widen(indices, magnifier, noise=noise)\n\t\t\tindices = np.concatenate([\n\t\t\t\tindices,\n\t\t\t\tnp.arange(prev_miniblock_out_dim, prev_miniblock_out_dim + miniblock_out_dim)\n\t\t\t])\n\t\t\tmagnifier = np.concatenate([\n\t\t\t\tmagnifier,\n\t\t\t\t[1] * miniblock_out_dim,\n\t\t\t])\n\t\t\tprev_miniblock_out_dim += miniblock_out_dim\n\t\treturn True, indices, magnifier\n\t\n\tdef widen(self, loc, new_width, widen_type='output_dim', noise=None, input_dim=3):\n\t\tminiblock_idx = loc['miniblock']\n\t\tminiblock = self.miniblocks[miniblock_idx]\n\t\told_miniblock_out_dim = miniblock.out_features_dim\n\t\tchange_out_dim, indices, magnifier = miniblock.widen(loc, new_width, widen_type, noise=noise)\n\t\tif change_out_dim:\n\t\t\tprev_miniblock_out_dim = input_dim\n\t\t\tfor _i in range(0, miniblock_idx):\n\t\t\t\tprev_miniblock_out_dim += self.miniblocks[_i].out_features_dim\n\t\t\tindices = np.concatenate([\n\t\t\t\tnp.arange(prev_miniblock_out_dim),\n\t\t\t\tindices + prev_miniblock_out_dim,\n\t\t\t])\n\t\t\tmagnifier = np.concatenate([\n\t\t\t\t[1] * prev_miniblock_out_dim,\n\t\t\t\tmagnifier,\n\t\t\t])\n\t\t\tprev_miniblock_out_dim += old_miniblock_out_dim\n\t\t\tfor _i in range(miniblock_idx + 1, len(self.miniblocks)):\n\t\t\t\tminiblock_out_dim = self.miniblocks[_i].out_features_dim\n\t\t\t\tself.miniblocks[_i].prev_widen(indices, magnifier, noise=noise)\n\t\t\t\tindices = np.concatenate([\n\t\t\t\t\tindices,\n\t\t\t\t\tnp.arange(prev_miniblock_out_dim, prev_miniblock_out_dim + miniblock_out_dim)\n\t\t\t\t])\n\t\t\t\tmagnifier = np.concatenate([\n\t\t\t\t\tmagnifier,\n\t\t\t\t\t[1] * miniblock_out_dim,\n\t\t\t\t])\n\t\t\t\tprev_miniblock_out_dim += miniblock_out_dim\n\t\t\treturn True, indices, magnifier\n\t\telse:\n\t\t\treturn False, None, None\n\t\n\tdef deepen(self, loc, new_layer_config, input_dim):\n\t\tminiblock_idx = loc['miniblock']\n\t\tfor _i in range(0, miniblock_idx):\n\t\t\tinput_dim += self.miniblocks[_i].out_features_dim\n\t\treturn self.miniblocks[miniblock_idx].deepen(loc, new_layer_config, input_dim)\n\t\t\n\nclass DenseNetConfig:\n\tdef __init__(self):\n\t\tself.net_config = {\n\t\t\t'model_type': None,\n\t\t\t'weight_decay': None,\n\t\t\t'first_ratio': None,\n\t\t\t'reduction': None,\n\t\t\t'bc_ratio': None,\n\t\t\t'bn_epsilon': None,\n\t\t\t'bn_decay': None,\n\t\t\t'pre_activation': None,\n\t\t}\n\t\tself.blocks = None\n\t\n\t@property\n\tdef model_type(self): return self.net_config['model_type']\n\t\n\t@property\n\tdef weight_decay(self): return self.net_config['weight_decay']\n\t\n\t@property\n\tdef first_ratio(self): return self.net_config['first_ratio']\n\t\n\t@property\n\tdef reduction(self): return self.net_config['reduction']\n\t\n\t@property\n\tdef bc_ratio(self): return self.net_config['bc_ratio']\n\t\n\t@property\n\tdef bn_epsilon(self): return self.net_config['bn_epsilon']\n\t\n\t@property\n\tdef bn_decay(self): return self.net_config['bn_decay']\n\t\n\t@property\n\tdef depth(self):\n\t\tdepth = 0\n\t\tfor block in self.blocks:\n\t\t\tdepth += block.depth\n\t\treturn depth\n\t\n\t@property\n\tdef average_growth_rate(self):\n\t\tgrowth_rate_list = []\n\t\tfor block in self.blocks:\n\t\t\tif isinstance(block, DenseBlock):\n\t\t\t\tfor miniblock in block.miniblocks:\n\t\t\t\t\tgrowth_rate = miniblock.out_features_dim\n\t\t\t\t\tgrowth_rate_list.append(growth_rate)\n\t\treturn np.mean(growth_rate_list)\n\t\n\tdef copy(self):\n\t\tnet_config = DenseNetConfig()\n\t\tnet_config.set_net_from_config(self.get_config(), self.renew_init(None), print_info=False)\n\t\treturn net_config\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'DenseNet',\n\t\t\t**self.net_config,\n\t\t\t'blocks': [block.get_config() for block in self.blocks]\n\t\t}\n\n\tdef renew_init(self, densenet):\n\t\treturn {\n\t\t\t'blocks': [block.renew_init(densenet) for block in self.blocks]\n\t\t}\n\t\n\tdef set_standard_dense_net(self, data_provider: DataProvider, growth_rate, depth, total_blocks,\n\t\t\t\t\t\t\t   keep_prob, weight_decay, model_type,\n\t\t\t\t\t\t\t   first_ratio=2, reduction=1.0, bc_ratio=4,\n\t\t\t\t\t\t\t   bn_epsilon=1e-5, bn_decay=0.9, print_info=True,\n\t\t\t\t\t\t\t   pre_activation=True, **kwargs):\n\t\tself.net_config = {\n\t\t\t'model_type': model_type,\n\t\t\t'weight_decay': weight_decay,\n\t\t\t'first_ratio': first_ratio,\n\t\t\t'reduction': reduction,\n\t\t\t'bc_ratio': bc_ratio,\n\t\t\t'bn_epsilon': bn_epsilon,\n\t\t\t'bn_decay': bn_decay,\n\t\t\t'pre_activation': pre_activation,\n\t\t}\n\t\t\n\t\timage_size = data_provider.data_shape[0]\n\t\t\n\t\tfirst_output_features = growth_rate * first_ratio\n\t\tbc_mode = (model_type == 'DenseNet-BC')\n\t\tlayers_per_block = (depth - (total_blocks + 1)) // total_blocks\n\t\tif bc_mode: layers_per_block = layers_per_block // 2\n\t\t\n\t\t# initial conv\n\t\tif pre_activation:\n\t\t\tinit_conv_layer = ConvLayer('conv_0', first_output_features, kernel_size=3, activation=None, use_bn=False)\n\t\telse:\n\t\t\tinit_conv_layer = ConvLayer('conv_0', first_output_features, kernel_size=3, pre_activation=False)\n\t\tinit_transition = TransitionBlock('T_0_first', [init_conv_layer])\n\t\tself.blocks = [init_transition]\n\t\t\n\t\t# Dense Blocks\n\t\tin_features_dim = first_output_features\n\t\tfor block_idx in range(1, total_blocks + 1):\n\t\t\tminiblocks = []\n\t\t\tblock_id = 'D_%d' % block_idx\n\t\t\tfor miniblock_idx in range(1, layers_per_block + 1):\n\t\t\t\tminiblock_id = 'M_%d' % miniblock_idx\n\t\t\t\tin_bottle = None\n\t\t\t\tif bc_mode:\n\t\t\t\t\tbottelneck_layer = ConvLayer('conv_0', growth_rate * bc_ratio, kernel_size=1, keep_prob=keep_prob,\n\t\t\t\t\t\t\t\t\t\t\t\t pre_activation=pre_activation)\n\t\t\t\t\tin_bottle = LayerCascade('in_bottle', [bottelneck_layer])\n\t\t\t\t\n\t\t\t\tbranch_0 = LayerCascade('B_0', [\n\t\t\t\t\tConvLayer('conv_0', growth_rate, kernel_size=3,\n\t\t\t\t\t\t\t  keep_prob=keep_prob, pre_activation=pre_activation)\n\t\t\t\t])\n\t\t\t\tminiblocks.append(LayerMultiBranch(miniblock_id, [branch_0], in_bottle=in_bottle))\n\t\t\tdense_block = DenseBlock(block_id, miniblocks)\n\t\t\tself.blocks += [dense_block]\n\t\t\t\n\t\t\tout_features_dim = dense_block.out_features_dim(in_features_dim)\n\t\t\tif block_idx != total_blocks:\n\t\t\t\tout_features_dim = int(out_features_dim * reduction)\n\t\t\t\ttransition_id = 'T_%d_middle' % block_idx\n\t\t\t\tconv_layer = ConvLayer('conv_0', out_features_dim, kernel_size=1, keep_prob=keep_prob,\n\t\t\t\t\t\t\t\t\t   pre_activation=pre_activation)\n\t\t\t\tavg_pool_layer = PoolLayer('pool_0', 'avg', kernel_size=2, strides=2)\n\t\t\t\ttransition = TransitionBlock(transition_id, [conv_layer, avg_pool_layer])\n\t\t\t\tself.blocks.append(transition)\n\t\t\t\timage_size = image_size // 2\n\t\t\tin_features_dim = out_features_dim\n\t\t\n\t\t# Transition to classes\n\t\tif pre_activation:\n\t\t\tglobal_avg_pool = PoolLayer('pool_0', 'avg', kernel_size=image_size, strides=image_size,\n\t\t\t\t\t\t\t\t\t\tactivation='relu', use_bn=True)\n\t\telse:\n\t\t\tglobal_avg_pool = PoolLayer('pool_0', 'avg', kernel_size=image_size, strides=image_size,\n\t\t\t\t\t\t\t\t\t\tpre_activation=False)\n\t\tfinal_fc_layer = FCLayer('fc_0', data_provider.n_classes, use_bn=False, use_bias=True, activation=None)\n\t\ttransition_to_classes = TransitionBlock('T_to_classes', [global_avg_pool, final_fc_layer])\n\t\tself.blocks.append(transition_to_classes)\n\t\t\n\t\t# print information about the network\n\t\tif print_info:\n\t\t\tprint('Set Standard %s' % model_type)\n\t\t\n\t\t\tif not bc_mode:\n\t\t\t\tprint('Build %s model with %d blocks, '\n\t\t\t\t\t  '%d composite layers each.' % (model_type, total_blocks, layers_per_block))\n\t\t\tif bc_mode:\n\t\t\t\tprint('Build %s model with %d blocks, '\n\t\t\t\t\t  '%d bottleneck layers and %d composite layers each.' % (\n\t\t\t\t\t\t  model_type, total_blocks, layers_per_block, layers_per_block))\n\t\t\tprint('Reduction at transition layers: %.2f' % reduction)\n\t\treturn self\n\t\t\n\tdef set_net_from_config(self, net_config_json, init=None, print_info=True):\n\t\t# load config and init (if exist)\n\t\tfor key in self.net_config.keys():\n\t\t\tself.net_config[key] = net_config_json[key]\n\t\tself.blocks = []\n\t\tfor _i, block_config in enumerate(net_config_json['blocks']):\n\t\t\tblock_init = init['blocks'][_i] if init is not None else None\n\t\t\tblock = get_block_by_name(block_config['name'])\n\t\t\tself.blocks.append(block.set_from_config(block_config, block_init))\n\t\tif print_info:\n\t\t\tprint('Set DenseNet from config:')\n\t\t\tfor k, v in self.net_config.items():\n\t\t\t\tprint('\\t%s: %s' % (k, v))\n\t\t\tprint('\\t%s: %d' % ('depth', self.depth))\n\t\treturn self\n\t\n\tdef widen(self, loc, new_width, widen_type='output_dim', noise=None, image_channel=3):\n\t\t\"\"\"\n\t\twiden_type: \"output_dim\" or \"kernel\"\n\t\t\"\"\"\n\t\tblock_idx = loc['block']\n\t\tif block_idx == 0:\n\t\t\tinput_dim = image_channel\n\t\telif isinstance(self.blocks[block_idx - 1], TransitionBlock):\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim\n\t\telse:\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim(self.blocks[block_idx - 2].out_features_dim)\n\t\t\n\t\tchange_out_dim, indices, magnifier = \\\n\t\t\tself.blocks[block_idx].widen(loc, new_width, widen_type, noise=noise, input_dim=input_dim)\n\t\twhile change_out_dim:\n\t\t\tchange_out_dim, indices, magnifier = self.blocks[block_idx + 1].prev_widen(indices, magnifier, noise=noise)\n\t\t\tblock_idx += 1\n\t\t\n\tdef deepen(self, loc, new_layer_config, image_channel=3):\n\t\tnew_layer_config['pre_activation'] = self.net_config['pre_activation']\n\t\tblock_idx = loc['block']\n\t\tif block_idx == 0:\n\t\t\tinput_dim = image_channel\n\t\telif isinstance(self.blocks[block_idx - 1], TransitionBlock):\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim\n\t\telse:\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim(self.blocks[block_idx - 2].out_features_dim)\n\t\t\n\t\treturn self.blocks[block_idx].deepen(loc, new_layer_config, input_dim)\n\t\n\tdef set_identity4deepen(self, to_set_layers, data_provider, batch_size, batch_num=1, strict=True, noise=None):\n\t\t\"\"\"\n\t\tto_set_layers = [(new_layer, prev_layer), ...]\n\t\t\"\"\"\n\t\ttask_list = {}\n\t\tfor new_layer, prev_layer in to_set_layers:\n\t\t\tif new_layer.ready: continue\n\t\t\tif new_layer.use_bn and strict:\n\t\t\t\ttask_id = id(prev_layer)\n\t\t\t\tif task_id in task_list:\n\t\t\t\t\ttask_list[task_id][1].append(new_layer)\n\t\t\t\telse:\n\t\t\t\t\ttask_list[task_id] = (prev_layer, [new_layer])\n\t\t\telse:\n\t\t\t\tnew_layer.set_identity_layer(strict=strict, noise=noise)\n\t\tif len(task_list) > 0:\n\t\t\tmodel = DenseNet(None, data_provider, None, net_config=self, only_forward=True)\n\t\t\ttask_list = list(task_list.values())\n\t\t\tfetches = [prev_layer.output_op for prev_layer, _ in task_list]\n\t\t\tstatistics = [[0, 0] for _ in task_list]\n\t\t\tfor _i in range(batch_num):\n\t\t\t\tinput_images, _ = data_provider.train.next_batch(batch_size)\n\t\t\t\toutputs = model.sess.run(fetches, feed_dict={model.images: input_images, model.is_training: False})\n\t\t\t\tfor _j, out in enumerate(outputs):\n\t\t\t\t\tout = out.astype('float32')\n\t\t\t\t\taxis = tuple(range(len(out.shape) - 1))\n\t\t\t\t\tmean = np.mean(out, axis=axis, keepdims=True)\n\t\t\t\t\tvariance = np.mean(np.square(out - mean), axis=axis, keepdims=True)\n\t\t\t\t\tmean, variance = np.squeeze(mean), np.squeeze(variance)\n\t\t\t\t\tstatistics[_j][0] += mean\n\t\t\t\t\tstatistics[_j][1] += variance\n\t\t\tfor _j, (prev_layer, new_layers) in enumerate(task_list):\n\t\t\t\tmean, variance = statistics[_j][0] / batch_num, statistics[_j][1] / batch_num\n\t\t\t\tfor new_layer in new_layers:\n\t\t\t\t\tif new_layer.ready: continue\n\t\t\t\t\tparam = {\n\t\t\t\t\t\t'moving_mean': mean,\n\t\t\t\t\t\t'moving_variance': variance,\n\t\t\t\t\t\t'epsilon': self.bn_epsilon,\n\t\t\t\t\t}\n\t\t\t\t\tnew_layer.set_identity_layer(strict=strict, param=param, noise=noise)\n\t\n\tdef insert_miniblock(self, loc, miniblock_config, image_channel=3, noise=None):\n\t\tblock_idx = loc['block']\n\t\tif block_idx == 0:\n\t\t\tinput_dim = image_channel\n\t\telif isinstance(self.blocks[block_idx - 1], TransitionBlock):\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim\n\t\telse:\n\t\t\tinput_dim = self.blocks[block_idx - 1].out_features_dim(self.blocks[block_idx - 2].out_features_dim)\n\t\t\n\t\tassert isinstance(self.blocks[block_idx], DenseBlock), 'Invalid'\n\t\tindices, magnifier = \\\n\t\t\tself.blocks[block_idx].insert_miniblock(loc['miniblock'], miniblock_config, input_dim, noise=noise)\n\t\tself.blocks[block_idx + 1].prev_widen(indices, magnifier, noise=noise)\n\t\t\n\t\t\nclass DenseNet(BasicModel):\n\tdef _build_graph(self, only_forward=False):\n\t\t_input = self.images\n\t\toutput = _input\n\t\t# building blocks (transition and dense)\n\t\tfor block in self.net_config.blocks:\n\t\t\toutput = block.build(output, self, store_output_op=only_forward)\n\t\t\n\t\tif not only_forward:\n\t\t\tlogits = output\n\t\t\twith tf.variable_scope('L2_Loss'):\n\t\t\t\tl2_loss = tf.add_n([tf.nn.l2_loss(var) for var in tf.trainable_variables()])\n\t\t\t\n\t\t\tprediction = tf.nn.softmax(logits)\n\t\t\t\n\t\t\t# losses\n\t\t\tcross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(\n\t\t\t\tlogits=logits, labels=self.labels))\n\t\t\tself.cross_entropy = cross_entropy\n\t\t\t\n\t\t\t# optimizer and train step\n\t\t\toptimizer = self.build_optimizer(self.learning_rate,\n\t\t\t\t\t\t\t\t\t\t\t self.run_config.opt_config[0], self.run_config.opt_config[1])\n\t\t\tself.train_step = optimizer.minimize(\n\t\t\t\tcross_entropy + l2_loss * self.net_config.weight_decay)\n\t\t\tcorrect_prediction = tf.equal(\n\t\t\t\ttf.argmax(prediction, 1),\n\t\t\t\ttf.argmax(self.labels, 1))\n\t\t\tself.accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))\n"
  },
  {
    "path": "src/aup/Proposer/eas/models/layer_cascade.py",
    "content": "from .layers import ConvLayer, FCLayer, PoolLayer, get_layer_by_name\nimport tensorflow as tf\n\n\nclass LayerCascade:\n\tdef __init__(self, _id, layers):\n\t\tself._id = _id\n\t\tself.layers = layers\n\t\t\n\t\tself.output_op = None\n\t\n\t@property\n\tdef id(self):\n\t\treturn self._id\n\t\n\t@id.setter\n\tdef id(self, value):\n\t\tself._id = value\n\t\n\t@property\n\tdef out_features_dim(self):\n\t\tfor layer in self.layers[::-1]:\n\t\t\tif isinstance(layer, ConvLayer):\n\t\t\t\treturn layer.filter_num\n\t\t\telif isinstance(layer, FCLayer):\n\t\t\t\treturn layer.units\n\t\treturn None\n\t\n\t@property\n\tdef depth(self):\n\t\tdepth = 0\n\t\tfor layer in self.layers:\n\t\t\tif isinstance(layer, ConvLayer) or isinstance(layer, FCLayer):\n\t\t\t\tdepth += 1\n\t\treturn depth\n\t\n\tdef get_str(self):\n\t\tlayers_str = [layer.layer_str for layer in self.layers]\n\t\treturn '-'.join(layers_str)\n\t\n\tdef build(self, _input, densenet, store_output_op=False):\n\t\toutput = _input\n\t\twith tf.variable_scope(self._id):\n\t\t\tfor layer in self.layers:\n\t\t\t\toutput = layer.build(output, densenet, store_output_op=store_output_op)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'layers': [layer.get_config() for layer in self.layers]\n\t\t}\n\t\n\tdef renew_init(self, densenet):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'layers': [layer.renew_init(densenet) for layer in self.layers]\n\t\t}\n\t\n\tdef copy(self):\n\t\treturn self.set_from_config(self.get_config(), init=self.renew_init(None))\n\t\n\t@staticmethod\n\tdef set_from_config(config_json, init=None, return_class=True):\n\t\t_id = config_json['_id']\n\t\tlayers = []\n\t\tfor _i, layer_config in enumerate(config_json['layers']):\n\t\t\tlayer_init = init['layers'][_i] if init is not None else None\n\t\t\tlayer = get_layer_by_name(layer_config['name'])\n\t\t\tlayers.append(layer.set_from_config(layer_config, layer_init))\n\t\tif return_class:\n\t\t\treturn LayerCascade(_id, layers)\n\t\telse:\n\t\t\treturn _id, layers\n\t\n\t\"\"\"\n\tNetwork Transformation Operations\n\t\"\"\"\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tfor layer in self.layers:\n\t\t\tif isinstance(layer, ConvLayer) or isinstance(layer, FCLayer):\n\t\t\t\tlayer.prev_widen(indices, magnifier, noise=noise)\n\t\t\t\tbreak\n\t\t\telse:\n\t\t\t\tlayer.prev_widen(indices, magnifier, noise=noise)\n\t\n\tdef widen(self, idx, new_width, widen_type='output_dim', noise=None):\n\t\tassert idx < len(self.layers), 'Index out of range: %d' % idx\n\t\tif widen_type == 'output_dim':\n\t\t\tassert isinstance(self.layers[idx], ConvLayer) or \\\n\t\t\t\t   isinstance(self.layers[idx], FCLayer), 'Operation not available'\n\t\t\tto_widen_layer = self.layers[idx]\n\t\t\t\n\t\t\tif isinstance(to_widen_layer, ConvLayer):\n\t\t\t\tindices, magnifier = to_widen_layer.widen_filters(new_filter_num=new_width, noise=noise)\n\t\t\telse:\n\t\t\t\tindices, magnifier = to_widen_layer.widen_units(new_units_num=new_width, noise=noise)\n\t\t\tafter_widen_layer = None\n\t\t\tfor _i in range(idx + 1, len(self.layers)):\n\t\t\t\tif isinstance(self.layers[_i], ConvLayer) or isinstance(self.layers[_i], FCLayer):\n\t\t\t\t\tself.layers[_i].prev_widen(indices, magnifier, noise=noise)\n\t\t\t\t\tafter_widen_layer = self.layers[_i]\n\t\t\t\t\tbreak\n\t\t\t\telse:\n\t\t\t\t\tself.layers[_i].prev_widen(indices, magnifier, noise=noise)\n\t\t\treturn after_widen_layer is None, indices, magnifier\n\t\telse:\n\t\t\traise ValueError('%s is not supported' % widen_type)\n\t\n\tdef deepen(self, idx, new_layer_config, input_dim):\n\t\tassert idx < len(self.layers), 'Index out of range: %d' % idx\n\t\tif new_layer_config['name'] == 'fc':\n\t\t\tassert idx == len(self.layers) - 1 or isinstance(self.layers[idx + 1], FCLayer), 'Invalid'\n\t\t\tassert isinstance(self.layers[idx], FCLayer) or isinstance(self.layers[idx], PoolLayer), 'Invalid'\n\t\t\t# prepare the new fc layer\n\t\t\tunits = input_dim\n\t\t\tfor _i in range(idx, -1, -1):\n\t\t\t\tif isinstance(self.layers[_i], FCLayer):\n\t\t\t\t\tunits = self.layers[_i].units\n\t\t\t\t\tbreak\n\t\t\t\telif isinstance(self.layers[_i], ConvLayer):\n\t\t\t\t\tunits = self.layers[_i].filter_num\n\t\t\t\t\tbreak\n\t\t\tfc_idx = 0\n\t\t\tfor _i in range(0, idx + 1):\n\t\t\t\tif isinstance(self.layers[_i], FCLayer):\n\t\t\t\t\tfc_idx += 1\n\t\t\t_id = 'fc_%d' % fc_idx\n\t\t\t# change the id of following fc layers\n\t\t\tfor _i in range(idx + 1, len(self.layers)):\n\t\t\t\tif isinstance(self.layers[_i], FCLayer):\n\t\t\t\t\tself.layers[_i].id = 'fc_%d' % (fc_idx + 1)\n\t\t\t\t\tfc_idx += 1\n\t\t\tprev_layer = None\n\t\t\tfor _i in range(idx, -1, -1):\n\t\t\t\tif self.layers[_i].ready:\n\t\t\t\t\tprev_layer = self.layers[_i]\n\t\t\t\t\tbreak\n\t\t\tassert prev_layer is not None, 'Invalid'\n\t\t\tnew_fc_layer = FCLayer(_id, units, ready=False, **new_layer_config)\n\t\t\t# insert the new layer into the cascade\n\t\t\tself.layers = self.layers[:idx + 1] + [new_fc_layer] + self.layers[idx + 1:]\n\t\t\treturn new_fc_layer, prev_layer\n\t\telif new_layer_config['name'] == 'conv':\n\t\t\tassert idx == len(self.layers) - 1 or not isinstance(self.layers[idx + 1], FCLayer), 'Invalid'\n\t\t\tassert isinstance(self.layers[idx], ConvLayer) or isinstance(self.layers[idx], FCLayer), 'Invalid'\n\t\t\t# prepare the new conv layer\n\t\t\tfilter_num = input_dim\n\t\t\tfor _i in range(idx, -1, -1):\n\t\t\t\tif isinstance(self.layers[_i], ConvLayer):\n\t\t\t\t\tfilter_num = self.layers[_i].filter_num\n\t\t\t\t\tbreak\n\t\t\tconv_idx = 0\n\t\t\tfor _i in range(0, idx + 1):\n\t\t\t\tif isinstance(self.layers[_i], ConvLayer):\n\t\t\t\t\tconv_idx += 1\n\t\t\t_id = 'conv_%d' % conv_idx\n\t\t\t# change the id of following conv layers\n\t\t\tfor _i in range(idx + 1, len(self.layers)):\n\t\t\t\tif isinstance(self.layers[_i], ConvLayer):\n\t\t\t\t\tself.layers[_i].id = 'conv_%d' % (conv_idx + 1)\n\t\t\t\t\tconv_idx += 1\n\t\t\tprev_layer = None\n\t\t\tfor _i in range(idx, -1, -1):\n\t\t\t\tif self.layers[_i].ready:\n\t\t\t\t\tprev_layer = self.layers[_i]\n\t\t\t\t\tbreak\n\t\t\tassert prev_layer is not None, 'Invalid'\n\t\t\tnew_conv_layer = ConvLayer(_id, filter_num, ready=False, **new_layer_config)\n\t\t\tself.layers = self.layers[:idx + 1] + [new_conv_layer] + self.layers[idx + 1:]\n\t\t\treturn new_conv_layer, prev_layer\n\t\telse:\n\t\t\traise ValueError('Not support to insert a %s layer' % new_layer_config['name'])\n"
  },
  {
    "path": "src/aup/Proposer/eas/models/layer_multi_branch.py",
    "content": "import tensorflow as tf\nimport numpy as np\nfrom .layer_cascade import LayerCascade\n\n\nclass LayerMultiBranch:\n\tdef __init__(self, _id, branches, merge=None, in_bottle=None, out_bottle=None):\n\t\tself._id = _id\n\t\tself.in_bottle = in_bottle\n\t\tself.branches = branches\n\t\tself.out_bottle = out_bottle\n\t\tself.merge = merge\n\t\tif self.merge == 'add':\n\t\t\tout_dim = []\n\t\t\tfor branch in self.branches:\n\t\t\t\tout_dim.append(branch.out_features_dim)\n\t\t\tassert np.std(out_dim) == 0, '<%s> require the output dim of all branches are the same' % self.merge\n\t\telif self.merge is None:\n\t\t\tassert len(self.branches) == 1, 'Invalid'\n\t\t\n\t\tself.output_op = None\n\t\n\t@property\n\tdef id(self):\n\t\treturn self._id\n\t\n\t@id.setter\n\tdef id(self, value):\n\t\tself._id = value\n\t\n\t@property\n\tdef out_features_dim(self):\n\t\tif self.out_bottle:\n\t\t\treturn self.out_bottle.out_features_dim\n\t\tout_dim = []\n\t\tfor branch in self.branches:\n\t\t\tout_dim.append(branch.out_features_dim)\n\t\tif self.merge == 'concat':\n\t\t\treturn np.sum(out_dim)\n\t\telif self.merge == 'add' or self.merge is None:\n\t\t\treturn out_dim[0]\n\t\telse:\n\t\t\tpass\n\t\n\t@property\n\tdef depth(self):\n\t\tdepth = 0\n\t\tif self.in_bottle:\n\t\t\tdepth += self.in_bottle.depth\n\t\tif self.out_bottle:\n\t\t\tdepth += self.out_bottle.depth\n\t\tbranch_depth = []\n\t\tfor branch in self.branches:\n\t\t\tbranch_depth.append(branch.depth)\n\t\tdepth += np.max(branch_depth)\n\t\treturn depth\n\t\n\tdef get_str(self):\n\t\tin_bottle_str = 'N' if self.in_bottle is None else self.in_bottle.get_str()\n\t\tbranches_str = [branch.get_str() for branch in self.branches]\n\t\tbranches_str = '+'.join(branches_str)\n\t\tout_bottle_str = 'N' if self.out_bottle is None else self.out_bottle.get_str()\n\t\treturn '%s~%s~%s' % (in_bottle_str, branches_str, out_bottle_str)\n\t\n\tdef build(self, _input, densenet, store_output_op=False):\n\t\twith tf.variable_scope(self._id):\n\t\t\toutput = _input\n\t\t\t# in bottle\n\t\t\tif self.in_bottle:\n\t\t\t\toutput = self.in_bottle.build(output, densenet, store_output_op=store_output_op)\n\t\t\t# branches\n\t\t\tbranch_out = []\n\t\t\tfor branch in self.branches:\n\t\t\t\tbranch_out.append(branch.build(output, densenet, store_output_op=store_output_op))\n\t\t\tif self.merge == 'concat':\n\t\t\t\toutput = tf.concat(branch_out, axis=3)\n\t\t\telif self.merge == 'add':\n\t\t\t\toutput = tf.add_n(branch_out)\n\t\t\telif self.merge is None:\n\t\t\t\toutput = branch_out[0]\n\t\t\telse:\n\t\t\t\traise ValueError('Do not support <%s>' % self.merge)\n\t\t\t# out bottle\n\t\t\tif self.out_bottle:\n\t\t\t\toutput = self.out_bottle.build(output, densenet, store_output_op=store_output_op)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'merge': self.merge,\n\t\t\t'branches': [branch.get_config() for branch in self.branches],\n\t\t\t'in_bottle': None if self.in_bottle is None else self.in_bottle.get_config(),\n\t\t\t'out_bottle': None if self.out_bottle is None else self.out_bottle.get_config(),\n\t\t}\n\t\n\tdef renew_init(self, densenet):\n\t\treturn {\n\t\t\t'_id': self._id,\n\t\t\t'branches': [branch.renew_init(densenet) for branch in self.branches],\n\t\t\t'in_bottle': None if self.in_bottle is None else self.in_bottle.renew_init(densenet),\n\t\t\t'out_bottle': None if self.out_bottle is None else self.out_bottle.renew_init(densenet),\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(config_json, init=None):\n\t\t_id = config_json['_id']\n\t\tmerge = config_json['merge']\n\t\tbranches = []\n\t\tfor _i, branch_config in enumerate(config_json['branches']):\n\t\t\tbranch_init = init['branches'][_i] if init is not None else None\n\t\t\tbranch = LayerCascade.set_from_config(branch_config, branch_init)\n\t\t\tbranches.append(branch)\n\t\tin_bottle = config_json['in_bottle']\n\t\tif in_bottle:\n\t\t\tin_bottle_init = init['in_bottle'] if init is not None else None\n\t\t\tin_bottle = LayerCascade.set_from_config(in_bottle, in_bottle_init)\n\t\tout_bottle = config_json['out_bottle']\n\t\tif out_bottle:\n\t\t\tout_bottle_init = init['out_bottle'] if init is not None else None\n\t\t\tout_bottle = LayerCascade.set_from_config(out_bottle, out_bottle_init)\n\t\treturn LayerMultiBranch(_id, branches, merge, in_bottle=in_bottle, out_bottle=out_bottle)\n\t\n\t\"\"\"\n\tNetwork Transformation Operations\n\t\"\"\"\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tif self.in_bottle:\n\t\t\tself.in_bottle.prev_widen(indices, magnifier, noise=noise)\n\t\telse:\n\t\t\tfor branch in self.branches:\n\t\t\t\tbranch.prev_widen(indices, magnifier, noise=noise)\n\t\n\tdef widen(self, loc, new_width, widen_type='output_dim', noise=None):\n\t\tif loc['multi-branch'] == 'in_bottle':\n\t\t\tassert self.in_bottle is not None, 'Invalid'\n\t\t\tchange_out_dim, indices, magnifier = self.in_bottle.widen(loc['layer'], new_width, widen_type, noise=noise)\n\t\t\tif change_out_dim:\n\t\t\t\tfor branch in self.branches:\n\t\t\t\t\tbranch.prev_widen(indices, magnifier, noise=noise)\n\t\t\treturn False, None, None\n\t\telif loc['multi-branch'] == 'out_bottle':\n\t\t\tassert self.out_bottle is not None, 'Invalid'\n\t\t\tchange_out_dim, indices, magnifier = self.out_bottle.widen(loc['layer'], new_width, widen_type, noise=noise)\n\t\t\treturn change_out_dim, indices, magnifier\n\t\telif loc['multi-branch'] == 'branch':\n\t\t\tbranch_idx = loc['branch']\n\t\t\tbranch = self.branches[branch_idx]\n\t\t\told_branch_out_dim = branch.out_features_dim\n\t\t\tchange_out_dim, indices, magnifier = branch.widen(loc['layer'], new_width, widen_type, noise=noise)\n\t\t\tif change_out_dim:\n\t\t\t\tassert self.merge != 'add', 'Invalid'\n\t\t\t\tprev_branch_out_dim = 0\n\t\t\t\tfor _i in range(0, branch_idx):\n\t\t\t\t\tprev_branch_out_dim += self.branches[_i].out_features_dim\n\t\t\t\tpost_branch_out_dim = 0\n\t\t\t\tfor _i in range(branch_idx + 1, len(self.branches)):\n\t\t\t\t\tpost_branch_out_dim += self.branches[_i].out_features_dim\n\t\t\t\told_size = prev_branch_out_dim + old_branch_out_dim + post_branch_out_dim\n\t\t\t\tbase = np.arange(old_size)\n\t\t\t\tindices = np.concatenate([\n\t\t\t\t\tbase[:prev_branch_out_dim],\n\t\t\t\t\tindices + prev_branch_out_dim,\n\t\t\t\t\tbase[prev_branch_out_dim + old_branch_out_dim:]\n\t\t\t\t])\n\t\t\t\tmagnifier = np.concatenate([\n\t\t\t\t\t[1] * prev_branch_out_dim,\n\t\t\t\t\tmagnifier,\n\t\t\t\t\t[1] * post_branch_out_dim,\n\t\t\t\t])\n\t\t\t\tif self.out_bottle is None:\n\t\t\t\t\treturn True, indices, magnifier\n\t\t\t\telse:\n\t\t\t\t\tself.out_bottle.prev_widen(indices, magnifier, noise=noise)\n\t\t\t\t\treturn False, None, None\n\t\t\telse:\n\t\t\t\treturn False, None, None\n\t\telse:\n\t\t\traise ValueError('Do not support %s' % loc['multi-branch'])\n\t\n\tdef deepen(self, loc, new_layer_config, input_dim):\n\t\tif loc['multi-branch'] == 'in_bottle':\n\t\t\tassert self.in_bottle is not None, 'Invalid'\n\t\t\treturn self.in_bottle.deepen(loc['layer'], new_layer_config, input_dim)\n\t\telif loc['multi-branch'] == 'out_bottle':\n\t\t\tassert self.out_bottle is not None, 'Invalid'\n\t\t\tif self.merge == 'concat': input_dim = np.sum([branch.out_features_dim for branch in self.branches])\n\t\t\telse: input_dim = self.branches[0].out_features_dim\n\t\t\treturn self.out_bottle.deepen(loc['layer'], new_layer_config, input_dim)\n\t\telif loc['multi-branch'] == 'branch':\n\t\t\tif self.in_bottle is not None: input_dim = self.in_bottle.out_features_dim\n\t\t\treturn self.branches[loc['branch']].deepen(loc['layer'], new_layer_config, input_dim)\n\t\telse:\n\t\t\traise ValueError('Do not support %s' % loc['multi-branch'])\n\t\t\n\tdef remapped_branches(self, noise=None):\n\t\tif self.merge == 'add' or self.merge is None:\n\t\t\tsize = self.out_features_dim\n\t\t\tindices = np.random.choice(np.arange(size), size)\n\t\t\tnew_branches = []\n\t\t\tfor branch in self.branches:\n\t\t\t\tnew_layers = [layer.copy() for layer in branch.layers[:-1]]\n\t\t\t\tlast_layer = branch.layers[-1].copy().remap(indices, noise=noise)\n\t\t\t\tnew_layers.append(last_layer)\n\t\t\t\tnew_branch = LayerCascade(branch.id, new_layers)\n\t\t\t\tnew_branches.append(new_branch)\n\t\telif self.merge == 'concat':\n\t\t\tnew_branches = []\n\t\t\toffset = 0\n\t\t\tindices = []\n\t\t\tfor branch in self.branches:\n\t\t\t\tsize = branch.out_features_dim\n\t\t\t\tsub_indices = np.random.choice(np.arange(size), size)\n\t\t\t\tnew_layers = [layer.copy() for layer in branch.layers[:-1]]\n\t\t\t\tlast_layer = branch.layers[-1].copy().remap(sub_indices, noise=noise)\n\t\t\t\tnew_layers.append(last_layer)\n\t\t\t\tnew_branch = LayerCascade(branch.id, new_layers)\n\t\t\t\tnew_branches.append(new_branch)\n\t\t\t\tindices.append(sub_indices + offset)\n\t\t\t\toffset += size\n\t\t\tindices = np.concatenate(indices)\n\t\telse:\n\t\t\traise NotImplementedError\n\t\treturn new_branches, indices\n"
  },
  {
    "path": "src/aup/Proposer/eas/models/layers.py",
    "content": "from .basic_model import BasicModel\nimport tensorflow as tf\nimport numpy as np\nimport copy\n\n\ndef apply_noise(weights, noise_config):\n\tif noise_config is None:\n\t\treturn weights\n\tnoise_type = noise_config.get('type', 'normal')\n\tif noise_type == 'normal':\n\t\tratio = noise_config.get('ratio', 1e-3)\n\t\tstd = np.std(weights)\n\t\tnoise = np.random.normal(0, std * ratio, size=weights.shape)\n\telif noise_type == 'uniform':\n\t\tratio = noise_config.get('ratio', 1e-3)\n\t\tmean, _max = np.mean(weights), np.max(weights)\n\t\twidth = (_max - mean) * ratio\n\t\tnoise = np.random.uniform(-width, width, size=weights.shape)\n\telse:\n\t\traise NotImplementedError\n\treturn weights + noise\n\n\ndef get_layer_by_name(name):\n\tif name == 'conv':\n\t\treturn ConvLayer\n\telif name == 'fc':\n\t\treturn FCLayer\n\telif name == 'pool':\n\t\treturn PoolLayer\n\telse:\n\t\traise ValueError('Unknown layer type: %s' % name)\n\n\ndef get_magnifier(old_size, indices):\n\t_l = np.zeros(old_size)\n\tfor x in indices:\n\t\t_l[x] += 1\n\tmagnifier = (1.0 / _l)[indices]\n\treturn magnifier\n\n\ndef get_random_remapping(old_size, new_size):\n\tbase = np.arange(old_size)\n\tindices = np.concatenate([base, np.random.choice(base, new_size - old_size)])\n\t\n\tmagnifier = get_magnifier(old_size, indices)\n\treturn indices, magnifier\n\n\nclass BaseLayer:\n\t\"\"\"\n\t_id, batch normalization, activation, dropout, ready\n\t\"\"\"\n\tdef __init__(self, _id, use_bn=True, activation='relu', keep_prob=1.0, ready=True, pre_activation=True):\n\t\tself._id = _id\n\t\tself.use_bn = use_bn\n\t\tself.activation = activation\n\t\tself.keep_prob = keep_prob\n\t\tself.ready = ready\n\t\tself.pre_activation = pre_activation\n\t\t\n\t\tself._scope = None\n\t\tself._init = None\n\t\tself.output_op = None\n\t\n\t@property\n\tdef id(self): return self._id\n\t\n\t@id.setter\n\tdef id(self, value): self._id = value\n\t\n\t@property\n\tdef init(self):\n\t\treturn self._init\n\t\n\t@property\n\tdef param_initializer(self):\n\t\tif self._init is None:\n\t\t\treturn None\n\t\tparam_initializer = {}\n\t\tfor key in self.variable_list.keys():\n\t\t\tif self._init[key] is not None:\n\t\t\t\tparam_initializer[key] = tf.constant_initializer(self._init[key])\n\t\tif len(param_initializer) == 0:\n\t\t\tparam_initializer = None\n\t\treturn param_initializer\n\t\n\tdef renew_init(self, net: BasicModel):\n\t\tif net is None:\n\t\t\treturn copy.deepcopy(self._init)\n\t\t\n\t\tself._init = {}\n\t\tfor key, var_name in self.variable_list.items():\n\t\t\tvar = net.graph.get_tensor_by_name('%s/%s' % (self._scope, var_name))\n\t\t\tself._init[key] = net.sess.run(var)\n\t\tif len(self._init) == 0:\n\t\t\tself._init = None\n\t\treturn copy.deepcopy(self._init)\n\t\n\tdef copy(self):\n\t\treturn self.set_from_config(self.get_config(), layer_init=copy.deepcopy(self._init))\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'_id': self.id,\n\t\t\t'use_bn': self.use_bn,\n\t\t\t'activation': self.activation,\n\t\t\t'keep_prob': self.keep_prob,\n\t\t\t'pre_activation': self.pre_activation,\n\t\t}\n\t\n\t@property\n\tdef variable_list(self):\n\t\t\"\"\"\n\t\tbeta: mean scale\n\t\tgamma: variance scale\n\t\ty = gamma * (x - moving_mean) / sqrt(epsilon + moving_variance) + beta\n\t\t\"\"\"\n\t\tif self.use_bn:\n\t\t\treturn {\n\t\t\t\t'moving_mean': 'BatchNorm/moving_mean:0',\n\t\t\t\t'moving_variance': 'BatchNorm/moving_variance:0',\n\t\t\t\t'beta': 'BatchNorm/beta:0',\n\t\t\t\t'gamma': 'BatchNorm/gamma:0',\n\t\t\t}\n\t\telse:\n\t\t\treturn {}\n\t\n\t@staticmethod\n\tdef set_from_config(layer_config, layer_init):\n\t\traise NotImplementedError\n\t\n\tdef build(self, _input, net, store_output_op):\n\t\traise NotImplementedError\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\traise NotImplementedError\n\t\n\tdef set_identity_layer(self, strict, param, noise):\n\t\traise NotImplementedError\n\t\n\tdef widen_bn(self, indices, magnifier, noise=None):\n\t\tif self.use_bn:\n\t\t\tself._init['beta'] = self._init['beta'][indices]\n\t\t\tself._init['gamma'] = self._init['gamma'][indices]\n\t\t\tself._init['moving_mean'] = self._init['moving_mean'][indices]\n\t\t\tself._init['moving_variance'] = self._init['moving_variance'][indices]\n\t\n\tdef set_bn_identity(self, strict=True, param=None, noise=None):\n\t\tif self.use_bn:\n\t\t\tif strict:\n\t\t\t\tself._init['moving_mean'] = param['moving_mean']\n\t\t\t\tself._init['moving_variance'] = param['moving_variance']\n\t\t\t\tself._init['beta'] = self._init['moving_mean']\n\t\t\t\tself._init['gamma'] = np.sqrt(self._init['moving_variance'] + param['epsilon'])\n\t\t\telse:\n\t\t\t\t# use default initialization for batch normalization layer\n\t\t\t\tself._init['moving_mean'], self._init['moving_variance'] = None, None\n\t\t\t\tself._init['beta'], self._init['gamma'] = None, None\n\t\n\t\nclass ConvLayer(BaseLayer):\n\tdef __init__(self, _id, filter_num, kernel_size=3, strides=1,\n\t\t\t\t use_bn=True, activation='relu', keep_prob=1.0, ready=True, pre_activation=True, **kwargs):\n\t\tBaseLayer.__init__(self, _id, use_bn, activation, keep_prob, ready, pre_activation)\n\t\tself.filter_num = filter_num\n\t\tself.kernel_size = kernel_size\n\t\tself.strides = strides\n\t\n\t@property\n\tdef layer_str(self):\n\t\treturn 'C%d,%d,%d' % (self.filter_num, self.kernel_size, self.strides)\n\t\t\n\t@property\n\tdef variable_list(self):\n\t\tvar_list = {'kernel': 'kernel:0'}\n\t\tvar_list.update(super(ConvLayer, self).variable_list)\n\t\treturn var_list\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'conv',\n\t\t\t'filter_num': self.filter_num,\n\t\t\t'kernel_size': self.kernel_size,\n\t\t\t'strides': self.strides,\n\t\t\t**super(ConvLayer, self).get_config(),\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(layer_config, layer_init=None):\n\t\tconv_layer = ConvLayer(**layer_config)\n\t\tconv_layer._init = layer_init\n\t\treturn conv_layer\n\t\n\tdef build(self, _input, net: BasicModel, store_output_op=False):\n\t\toutput = _input\n\t\tif not self.ready:\n\t\t\treturn output\n\t\twith tf.variable_scope(self._id):\n\t\t\tself._scope = tf.get_variable_scope().name\n\t\t\tparam_initializer = self.param_initializer\n\t\t\tif self.pre_activation:\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t\t# convolutional\n\t\t\t\toutput = BasicModel.conv2d(output, self.filter_num, self.kernel_size, self.strides,\n\t\t\t\t\t\t\t\t\t\t   param_initializer=param_initializer)\n\t\t\telse:\n\t\t\t\t# convolutional\n\t\t\t\toutput = BasicModel.conv2d(output, self.filter_num, self.kernel_size, self.strides,\n\t\t\t\t\t\t\t\t\t\t   param_initializer=param_initializer)\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t# dropout\n\t\t\toutput = BasicModel.dropout(output, self.keep_prob, net.is_training)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef widen_filters(self, new_filter_num, noise=None):\n\t\t\"\"\"\n\t\tIncrease the filter number of a conv layer while preserving the functionality\n\t\tProposed in 'Net2Net': https://arxiv.org/abs/1511.05641\n\t\t\"\"\"\n\t\tassert new_filter_num > self.filter_num, 'Invalid new filter number: %d' % new_filter_num\n\t\tassert self._init is not None, 'Uninitialized layer'\n\t\told_size, new_size = self.filter_num, new_filter_num\n\t\tindices, magnifier = get_random_remapping(old_size, new_size)\n\t\t# more filters\n\t\tself.filter_num = new_filter_num\n\t\tnew_kernel = self._init['kernel'][:, :, :, indices]\n\t\tnew_kernel[:, :, :, old_size:] = apply_noise(new_kernel[:, :, :, old_size:], noise.get('wider'))\n\t\tself._init['kernel'] = new_kernel\n\t\tif not self.pre_activation:\n\t\t\t# widen batch norm variables if use batch norm\n\t\t\tself.widen_bn(indices, magnifier, noise=noise)\n\t\treturn indices, magnifier\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tassert self._init is not None, 'Uninitialized layer'\n\t\t# rescale kernel\n\t\tself._init['kernel'] = self._init['kernel'][:, :, indices, :] * magnifier.reshape([1, 1, -1, 1])\n\t\tif self.pre_activation:\n\t\t\tself.widen_bn(indices, magnifier, noise=noise)\n\t\t\n\tdef set_identity_layer(self, strict=True, param=None, noise=None):\n\t\tself._init = {}\n\t\tself.set_bn_identity(strict, param, noise=noise)\n\t\tmid = self.kernel_size // 2\n\t\tself._init['kernel'] = np.zeros([self.kernel_size, self.kernel_size, self.filter_num, self.filter_num])\n\t\tself._init['kernel'][mid, mid] = np.eye(self.filter_num)\n\t\tself._init['kernel'] = apply_noise(self._init['kernel'], noise.get('deeper'))\n\t\tself.ready = True\n\n\tdef remap(self, indices, noise=None):\n\t\tself.filter_num = len(indices)\n\t\tself._init['kernel'] = self._init['kernel'][:, :, :, indices]\n\t\tself._init['kernel'] = apply_noise(self._init['kernel'], noise.get('wider'))\n\t\tif not self.pre_activation:\n\t\t\tself.widen_bn(indices, None, noise=noise)\n\t\treturn self\n\t\t\n\t\t\nclass FCLayer(BaseLayer):\n\tdef __init__(self, _id, units, use_bn=True, use_bias=False, activation='relu', keep_prob=1.0, ready=True,\n\t\t\t\t pre_activation=False, **kwargs):\n\t\tBaseLayer.__init__(self, _id, use_bn, activation, keep_prob, ready, pre_activation)\n\t\tself.units = units\n\t\tself.use_bias = use_bias\n\t\n\t@property\n\tdef layer_str(self):\n\t\treturn 'FC%d' % self.units\n\t\n\t@property\n\tdef variable_list(self):\n\t\tvar_list = {'W': 'W:0'}\n\t\tif self.use_bias:\n\t\t\tvar_list['bias'] = 'bias:0'\n\t\tvar_list.update(super(FCLayer, self).variable_list)\n\t\treturn var_list\n\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'fc',\n\t\t\t'units': self.units,\n\t\t\t'use_bias': self.use_bias,\n\t\t\t**super(FCLayer, self).get_config(),\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(layer_config, layer_init=None):\n\t\tfc_layer = FCLayer(**layer_config)\n\t\tfc_layer._init = layer_init\n\t\treturn fc_layer\n\t\n\tdef build(self, _input, net: BasicModel, store_output_op=False):\n\t\toutput = _input\n\t\tif not self.ready:\n\t\t\treturn output\n\t\twith tf.variable_scope(self._id):\n\t\t\tself._scope = tf.get_variable_scope().name\n\t\t\tparam_initializer = self.param_initializer\n\t\t\t# flatten if not\n\t\t\toutput = BasicModel.flatten(output)\n\t\t\tif self.pre_activation:\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t\t# FC\n\t\t\t\toutput = BasicModel.fc_layer(output, self.units, self.use_bias, param_initializer=param_initializer)\n\t\t\telse:\n\t\t\t\t# FC\n\t\t\t\toutput = BasicModel.fc_layer(output, self.units, self.use_bias, param_initializer=param_initializer)\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t# dropout\n\t\t\toutput = BasicModel.dropout(output, self.keep_prob, net.is_training)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\t\n\tdef widen_units(self, new_units_num, noise=None):\n\t\t\"\"\"\n\t\tIncrease the units number of a fc layer while preserving the functionality\n\t\tProposed in 'Net2Net': https://arxiv.org/abs/1511.05641\n\t\tW: [in_dim, out_units]\n\t\tbias: [out_units]\n\t\t\"\"\"\n\t\tassert new_units_num > self.units, 'Invalid new units number: %d' % new_units_num\n\t\tassert self._init is not None, 'Uninitialized layer'\n\t\told_size, new_size = self.units, new_units_num\n\t\tindices, magnifier = get_random_remapping(old_size, new_size)\n\t\t# more units\n\t\tself._init['W'] = self._init['W'][:, indices]\n\t\tself._init['W'][:, old_size:] = apply_noise(self._init['W'][:, old_size:], noise.get('wider'))\n\t\tself.units = new_units_num\n\t\t# widen bias variable if exist\n\t\tif self.use_bias:\n\t\t\tself._init['bias'] = self._init['bias'][indices]\n\t\t\tself._init['bias'][old_size:] = apply_noise(self._init['bias'][old_size:], noise.get('wider'))\n\t\tif not self.pre_activation:\n\t\t\t# widen batch norm variables if use batch norm\n\t\t\tself.widen_bn(indices, magnifier, noise=noise)\n\t\treturn indices, magnifier\n\t\t\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tassert self._init is not None, 'Uninitialized layer'\n\t\t# rescale W\n\t\tself._init['W'] = self._init['W'][indices] * magnifier.reshape([-1, 1])\n\t\tif self.pre_activation:\n\t\t\tself.widen_bn(indices, magnifier, noise=noise)\n\t\n\tdef set_identity_layer(self, strict=True, param=None, noise=None):\n\t\tself._init = {}\n\t\tself.set_bn_identity(strict, param, noise=noise)\n\t\tif self.use_bias:\n\t\t\tself._init['bias'] = [0.0] * self.units\n\t\tself._init['W'] = np.eye(self.units)\n\t\tself._init['W'] = apply_noise(self._init['W'], noise.get('deeper'))\n\t\tself.ready = True\n\t\n\tdef remap(self, indices, noise=None):\n\t\tself.units = len(indices)\n\t\tself._init['W'] = self._init['W'][:, indices]\n\t\tself._init['W'] = apply_noise(self._init['W'], noise.get('wider'))\n\t\tif self.use_bias:\n\t\t\tself._init['bias'] = self._init['bias'][indices]\n\t\tif not self.pre_activation:\n\t\t\tself.widen_bn(indices, None, noise=noise)\n\t\treturn self\n\t\n\t\t\nclass PoolLayer(BaseLayer):\n\tdef __init__(self, _id, _type, kernel_size=2, strides=2, use_bn=False, activation=None, keep_prob=1.0,\n\t\t\t\t ready=True, pre_activation=True, **kwargs):\n\t\tBaseLayer.__init__(self, _id, use_bn, activation, keep_prob, ready, pre_activation)\n\t\t\n\t\tself._type = _type\n\t\tself.kernel_size = kernel_size\n\t\tself.strides = strides\n\t\n\t@property\n\tdef layer_str(self):\n\t\treturn 'P%d,%d' % (self.kernel_size, self.strides)\n\t\t\n\tdef get_config(self):\n\t\treturn {\n\t\t\t'name': 'pool',\n\t\t\t'_type': self._type,\n\t\t\t'kernel_size': self.kernel_size,\n\t\t\t'strides': self.strides,\n\t\t\t**super(PoolLayer, self).get_config(),\n\t\t}\n\t\n\t@staticmethod\n\tdef set_from_config(layer_config, layer_init=None):\n\t\tpool_layer = PoolLayer(**layer_config)\n\t\tpool_layer._init = layer_init\n\t\treturn pool_layer\n\t\n\tdef build(self, _input, net: BasicModel, store_output_op=False):\n\t\toutput = _input\n\t\tif not self.ready:\n\t\t\treturn output\n\t\twith tf.variable_scope(self._id):\n\t\t\tself._scope = tf.get_variable_scope().name\n\t\t\tparam_initializer = self.param_initializer\n\t\t\tif self.pre_activation:\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t\t# Pooling\n\t\t\t\tif self._type == 'avg':\n\t\t\t\t\toutput = BasicModel.avg_pool(output, k=self.kernel_size, s=self.strides)\n\t\t\t\telif self._type == 'max':\n\t\t\t\t\toutput = BasicModel.max_pool(output, k=self.kernel_size, s=self.strides)\n\t\t\t\telse:\n\t\t\t\t\traise ValueError('Do not support the pooling type: %s' % self._type)\n\t\t\telse:\n\t\t\t\t# Pooling\n\t\t\t\tif self._type == 'avg':\n\t\t\t\t\toutput = BasicModel.avg_pool(output, k=self.kernel_size, s=self.strides)\n\t\t\t\telif self._type == 'max':\n\t\t\t\t\toutput = BasicModel.max_pool(output, k=self.kernel_size, s=self.strides)\n\t\t\t\telse:\n\t\t\t\t\traise ValueError('Do not support the pooling type: %s' % self._type)\n\t\t\t\t# batch normalization\n\t\t\t\tif self.use_bn:\n\t\t\t\t\toutput = BasicModel.batch_norm(output, net.is_training, net.net_config.bn_epsilon,\n\t\t\t\t\t\t\t\t\t\t\t\t   net.net_config.bn_decay, param_initializer=param_initializer)\n\t\t\t\t# activation\n\t\t\t\toutput = BasicModel.activation(output, self.activation)\n\t\t\t# dropout\n\t\t\toutput = BasicModel.dropout(output, self.keep_prob, net.is_training)\n\t\tif store_output_op:\n\t\t\tself.output_op = output\n\t\treturn output\n\n\tdef set_identity_layer(self, strict=True, param=None, noise=None):\n\t\traise ValueError('Pooling layer can never be an identity layer')\n\t\n\tdef prev_widen(self, indices, magnifier, noise=None):\n\t\tself.widen_bn(indices, magnifier, noise=noise)\n"
  },
  {
    "path": "src/aup/Proposer/eas/models/utils.py",
    "content": "from .dense_net import DenseNetConfig, DenseNet\nfrom .convnet import SimpleConvnetConfig, SimpleConvnet\nimport numpy as np\n\n\ndef get_model_config_by_name(name):\n\tif name == 'DenseNet':\n\t\treturn DenseNetConfig\n\telif name == 'SimpleConvnet':\n\t\treturn SimpleConvnetConfig\n\telse:\n\t\traise ValueError('Unknown model type %s' % name)\n\n\ndef get_model_by_name(name):\n\tif name == 'DenseNet':\n\t\treturn DenseNet\n\telif name == 'SimpleConvnet':\n\t\treturn SimpleConvnet\n\telse:\n\t\traise ValueError('Unknown model type %s' % name)\n\n\nclass RunConfig:\n\tdef __init__(self, batch_size, n_epochs, init_lr, reduce_lr_epochs, reduce_lr_factors, opt_config,\n\t\t\t\t dataset, validation_size, validation_frequency, shuffle, normalization, should_save_logs,\n\t\t\t\t should_save_model, renew_logs=False, other_lr_schedule=None, include_extra=True, **kwargs):\n\t\t\n\t\tself.batch_size = batch_size\n\t\tself.n_epochs = n_epochs\n\t\tself.init_lr = init_lr\n\t\tself.reduce_lr_epochs = reduce_lr_epochs\n\t\tself.reduce_lr_factors = reduce_lr_factors\n\t\tself.opt_config = opt_config\n\t\tself.dataset = dataset\n\t\tself.validation_size = validation_size\n\t\tself.validation_frequency = validation_frequency\n\t\tself.shuffle = shuffle\n\t\tself.normalization = normalization\n\t\tself.should_save_logs = should_save_logs\n\t\tself.should_save_model = should_save_model\n\t\tself.renew_logs = renew_logs\n\t\tself.other_lr_schedule = other_lr_schedule\n\t\tself.include_extra = include_extra\n\t\n\tdef get_config(self):\n\t\treturn self.__dict__\n\t\n\tdef update(self, new_config):\n\t\tself.__dict__.update(new_config)\n\t\n\tdef copy(self):\n\t\treturn RunConfig(**self.get_config())\n\t\t\n\tdef learning_rate(self, epoch):\n\t\tif self.other_lr_schedule is None or self.other_lr_schedule.get('type') is None:\n\t\t\tlr = self.init_lr\n\t\t\tfor reduce_lr_epoch, reduce_factor in zip(self.reduce_lr_epochs, self.reduce_lr_factors):\n\t\t\t\tif epoch >= reduce_lr_epoch * self.n_epochs:\n\t\t\t\t\tlr /= reduce_factor\n\t\telse:\n\t\t\tif self.other_lr_schedule['type'] == 'cosine':\n\t\t\t\tlr_max = self.init_lr\n\t\t\t\tlr_min = self.other_lr_schedule.get('lr_min', 0)\n\t\t\t\tlr = lr_min + 0.5 * (lr_max - lr_min) * (1 + np.cos((epoch - 1) / self.n_epochs * np.pi))\n\t\t\telse:\n\t\t\t\traise ValueError('Do not support %s' % self.other_lr_schedule['type'])\n\t\treturn lr\n\n\t@staticmethod\n\tdef get_default_run_config(dataset='C10+'):\n\t\tif dataset in ['C10', 'C10+', 'C100', 'C100+']:\n\t\t\trun_config = {\n\t\t\t\t'batch_size': 64,\n\t\t\t\t'n_epochs': 30,\n\t\t\t\t'init_lr': 0.1,\n\t\t\t\t'reduce_lr_epochs': [0.5, 0.75],  # epochs * 0.5, epochs * 0.75\n\t\t\t\t'reduce_lr_factors': [10, 10],\n\t\t\t\t'opt_config': ['momentum', {'momentum': 0.9, 'use_nesterov': True}],\n\t\t\t\t'dataset': dataset,  # choices = [C10, C10+, C100, C100+]\n\t\t\t\t'validation_size': None,  # None or int\n\t\t\t\t'validation_frequency': 10,\n\t\t\t\t'shuffle': 'every_epoch',  # None, once_prior_train, every_epoch\n\t\t\t\t'normalization': 'by_channels',  # None, divide_256, divide_255, by_channels\n\t\t\t\t'should_save_logs': True,\n\t\t\t\t'should_save_model': True,\n\t\t\t\t'renew_logs': True,\n\t\t\t\t'other_lr_schedule': {'type': 'cosine'},  # None, or cosine\n\t\t\t}\n\t\telif dataset in ['SVHN']:\n\t\t\trun_config = {\n\t\t\t\t'batch_size': 64,\n\t\t\t\t'n_epochs': 40,\n\t\t\t\t'init_lr': 0.1,\n\t\t\t\t'reduce_lr_epochs': [0.5, 0.75],  # epochs * 0.5, epochs * 0.75\n\t\t\t\t'reduce_lr_factors': [10, 10],\n\t\t\t\t'opt_config': ['momentum', {'momentum': 0.9, 'use_nesterov': True}],\n\t\t\t\t'dataset': dataset,  # choices = [C10, C10+, C100, C100+]\n\t\t\t\t'validation_size': None,  # None or int\n\t\t\t\t'validation_frequency': 1,\n\t\t\t\t'shuffle': True,\n\t\t\t\t'normalization': 'divide_255',  # None, divide_256, divide_255, by_channels\n\t\t\t\t'should_save_logs': True,\n\t\t\t\t'should_save_model': True,\n\t\t\t\t'renew_logs': True,\n\t\t\t\t'other_lr_schedule': {'type': 'cosine'},  # None, or cosine\n\t\t\t\t'include_extra': False,\n\t\t\t}\n\t\telse:\n\t\t\traise ValueError\n\t\treturn run_config\n\n"
  },
  {
    "path": "src/aup/Proposer/eas/run_dense_net.py",
    "content": "import argparse\nimport os\nfrom models.dense_net import DenseNet, DenseNetConfig\nfrom data_providers.utils import get_data_provider_by_name\nfrom models.utils import RunConfig\nimport json\n\nrun_config_cifar = {\n\t'batch_size': 64,\n\t'n_epochs': 30,\n\t'init_lr': 0.1,\n\t'reduce_lr_epochs': [0.5, 0.75],  # epochs * 0.5, epochs * 0.75\n\t'reduce_lr_factors': [10, 10],\n\t'opt_config': ['momentum', {'momentum': 0.9, 'use_nesterov': True}],\n\t'dataset': 'C10+',  # choices = [C10, C10+, C100, C100+]\n\t'validation_size': 10000,  # None or int\n\t'validation_frequency': 10,\n\t'shuffle': 'every_epoch',  # None, once_prior_train, every_epoch\n\t'normalization': 'by_channels',  # None, divide_256, divide_255, by_channels\n\t'should_save_logs': True,\n\t'should_save_model': True,\n\t'renew_logs': True,\n\t'other_lr_schedule': {'type': 'cosine'},  # None, or cosine\n}\n\nstandard_net_config_cifar = {\n\t'model_type': 'DenseNet-BC',\n\t'weight_decay':  1e-4,\n\t'first_ratio': 2,\n\t'reduction': 0.5,\n\t'bc_ratio': 4,\n\t'bn_epsilon': 1e-5,\n\t'bn_decay': 0.9,\n\t'growth_rate': 4,\n\t'depth': 10,\n\t'total_blocks': 3,\n\t'keep_prob': 0.8,\n\t'pre_activation': True,\n}\n\n\nif __name__ == '__main__':\n\tparser = argparse.ArgumentParser()\n\tparser.add_argument(\n\t\t'--train', action='store_true')\n\tparser.add_argument(\n\t\t'--test', action='store_true',\n\t\thelp='Test model for required dataset if pretrained model exists.')\n\tparser.add_argument(\n\t\t'--dataset', type=str, default='C10+', choices=['C10', 'C10+', 'C100', 'C100+'],\n\t)\n\t\n\tparser.add_argument('--path', type=str, default='')\n\tparser.add_argument('--save_config', action='store_true', help='Whether to save config in the path')\n\tparser.add_argument('--save_init', action='store_true')\n\tparser.add_argument('--load_model', action='store_true')\n\t\n\targs = parser.parse_args()\n\tif args.dataset in ['C10', 'C100', 'C10+', 'C100+']:\n\t\trun_config_cifar['dataset'] = args.dataset\n\t\trun_config = RunConfig(**run_config_cifar)\n\t\tnet_config = standard_net_config_cifar\n\telse:\n\t\traise ValueError\n\tif len(args.path) == 0:\n\t\targs.path = '../trained_nets/DenseNet/vs=%s_%s_%s_L=%d_K=%d_%s' % \\\n\t\t\t\t\t(run_config.validation_size, os.uname()[1], net_config['model_type'], net_config['depth'],\n\t\t\t\t\t net_config['growth_rate'], run_config.dataset)\n\t\n\tif run_config.dataset in ['C10+', 'C100+']:\n\t\tnet_config['keep_prob'] = 1.0\n\tif standard_net_config_cifar['model_type'] == 'DenseNet':\n\t\tnet_config['reduction'] = 1.0\n\tif args.test: args.load_model = True\n\t\n\t# print configurations\n\tprint('Run config:')\n\tfor k, v in run_config.get_config().items():\n\t\tprint('\\t%s: %s' % (k, v))\n\tprint('Network config:')\n\tfor k, v in net_config.items():\n\t\tprint('\\t%s: %s' % (k, v))\n\t\n\tprint('Prepare training data...')\n\tdata_provider = get_data_provider_by_name(run_config.dataset, run_config.get_config())\n\t\n\t# set net config\n\tnet_config = DenseNetConfig().set_standard_dense_net(data_provider=data_provider, **net_config)\n\tprint('Initialize the model...')\n\tmodel = DenseNet(args.path, data_provider, run_config, net_config)\n\t\n\t# save configs\n\tif args.save_config:\n\t\tmodel.save_config(args.path)\n\t\t\n\tif args.load_model: model.load_model()\n\tif args.test:\n\t\t# test\n\t\tprint('Data provider test images: ', data_provider.test.num_examples)\n\t\tprint('Testing...')\n\t\tloss, accuracy = model.test(data_provider.test, batch_size=200)\n\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\tjson.dump({'test_loss': '%s' % loss, 'test_acc': '%s' % accuracy}, open('%s/output' % args.path, 'w'))\n\telif args.train:\n\t\t# train the model\n\t\tprint('Data provider train images: ', data_provider.train.num_examples)\n\t\tmodel.train_all_epochs()\n\t\tprint('Data provider test images: ', data_provider.test.num_examples)\n\t\tprint('Testing...')\n\t\tloss, accuracy = model.test(data_provider.test, batch_size=200)\n\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\n\t\t# save inits\n\t\tif args.save_init:\n\t\t\tmodel.save_init(os.path.join(args.path, 'snapshot'))\n\t\tjson.dump({'test_loss': '%s' % loss, 'test_acc': '%s' % accuracy}, open('%s/output' % args.path, 'w'))\n\t\t\n\n"
  },
  {
    "path": "src/aup/Proposer/eas/run_simple_convnet.py",
    "content": "import argparse\nimport os\nfrom .models.convnet import SimpleConvnetConfig, SimpleConvnet\nfrom .data_providers.utils import get_data_provider_by_name\nfrom .models.utils import RunConfig\nimport json\nimport copy\n\n\nrun_config_cifar = {\n\t'batch_size': 64,\n\t'n_epochs': 20,\n\t'init_lr': 0.1,\n\t'reduce_lr_epochs': [0.5, 0.75],  # epochs * 0.5, epochs * 0.75\n\t'reduce_lr_factors': [10, 10],\n\t'opt_config': ['momentum', {'momentum': 0.9, 'use_nesterov': True}],\n\t'dataset': 'C10+',  # choices = [C10, C10+, C100, C100+]\n\t'validation_size': 10000,  # None or int\n\t'validation_frequency': 10,\n\t'shuffle': 'every_epoch',  # None, once_prior_train, every_epoch\n\t'normalization': 'by_channels',  # None, divide_256, divide_255, by_channels\n\t'should_save_logs': True,\n\t'should_save_model': True,\n\t'renew_logs': True,\n\t'other_lr_schedule': {'type': 'cosine'},  # None, or cosine\n}\n\nstandard_net_config = {\n\t'conv_blocks_config': [\n\t\t[1, 3, 4],\n\t\t[1, 4, 4],\n\t\t[1, 5, 4],\n\t\t[1, 5, 3],\n\t],\n\t'fc_block_config': [8],\n\t'weight_decay': 1e-4,\n\t'drop_scheme': {'type': 'conv', 'conv_drop': 0.8, 'pool_drop': 0.7, 'fc_drop': 0.5},\n\t'bn_epsilon': 1e-5,\n\t'bn_decay': 0.9,\n}\n\nrun_config_svhn = copy.deepcopy(run_config_cifar)\nrun_config_svhn.update({\n\t'n_epochs': 40,\n\t'dataset': 'SVHN',\n\t'validation_size': 10000,\n\t'validation_frequency': 1,\n\t'normalization': 'divide_255',\n\t'other_lr_schedule': {'type': 'cosine'},\n\t'include_extra': False,\n\t'shuffle': True,\n})\n\n\nrun_str = '_'.join(['{}-{}-{}'.format(*block_config) for block_config in\n\t\t\t\t\tstandard_net_config['conv_blocks_config']])\nrun_str += '_%s' % '_'.join([str(units) for units in standard_net_config['fc_block_config']])\n\nif __name__ == '__main__':\n\tparser = argparse.ArgumentParser()\n\tparser.add_argument(\n\t\t'--train', action='store_true')\n\tparser.add_argument(\n\t\t'--test', action='store_true',\n\t\thelp='Test model for required dataset if pretrained model exists.')\n\tparser.add_argument(\n\t\t'--dataset', type=str, default='C10+', choices=['C10', 'C10+', 'C100', 'C100+', 'SVHN'],\n\t)\n\tparser.add_argument('--path', type=str, default='')\n\tparser.add_argument('--save_config', action='store_true', help='Whether to save config in the path')\n\tparser.add_argument('--save_init', action='store_true')\n\tparser.add_argument('--load_model', action='store_true')\n\t\n\targs = parser.parse_args()\n\tif args.dataset in ['C10', 'C100', 'C10+', 'C100+']:\n\t\trun_config_cifar['dataset'] = args.dataset\n\t\trun_config = RunConfig(**run_config_cifar)\n\telif args.dataset in ['SVHN']:\n\t\trun_config = RunConfig(**run_config_svhn)\n\telse:\n\t\traise ValueError\n\tif len(args.path) == 0:\n\t\targs.path = '../trained_nets/Convnet/vs=%s_Convnet_%s_%s_%s' % \\\n\t\t\t\t\t(run_config.validation_size, os.uname()[1], run_str, run_config.dataset)\n\tif args.test: args.load_model = True\n\t\n\t# print configurations\n\tprint('Run config:')\n\tfor k, v in run_config.get_config().items():\n\t\tprint('\\t%s: %s' % (k, v))\n\tprint('Network config:')\n\tfor k, v in standard_net_config.items():\n\t\tprint('\\t%s: %s' % (k, v))\n\t\n\tprint('Prepare training data...')\n\tdata_provider = get_data_provider_by_name(run_config.dataset, run_config.get_config())\n\t\n\t# set net config\n\tnet_config = SimpleConvnetConfig()\n\tnet_config.set_standard_convnet(data_provider=data_provider, **standard_net_config)\n\tprint('Initialize the model...')\n\tmodel = SimpleConvnet(args.path, data_provider, run_config, net_config)\n\t\n\t# save configs\n\tif args.save_config:\n\t\tmodel.save_config(args.path)\n\t\n\tif args.load_model: model.load_model()\n\tif args.test:\n\t\t# test\n\t\tprint('Data provider test images: ', data_provider.test.num_examples)\n\t\tprint('Testing...')\n\t\tloss, accuracy = model.test(data_provider.test, batch_size=200)\n\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\tjson.dump({'test_loss': '%s' % loss, 'test_acc': '%s' % accuracy}, open('%s/output' % args.path, 'w'))\n\telif args.train:\n\t\t# train the model\n\t\tprint('Data provider train images: ', data_provider.train.num_examples)\n\t\tmodel.train_all_epochs()\n\t\tprint('Data provider test images: ', data_provider.test.num_examples)\n\t\tprint('Testing...')\n\t\tloss, accuracy = model.test(data_provider.test, batch_size=200)\n\t\tprint('mean cross_entropy: %f, mean accuracy: %f' % (loss, accuracy))\n\t\t\n\t\t# save inits\n\t\tif args.save_init:\n\t\t\tmodel.save_init(os.path.join(args.path, 'snapshot'))\n\t\tjson.dump({'test_loss': '%s' % loss, 'test_acc': '%s' % accuracy}, open('%s/output' % args.path, 'w'))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/__init__.py",
    "content": "\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/core/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/hpbandster/core/base_config_generator.py",
    "content": "import logging\nimport traceback\n\nclass base_config_generator(object):\n\t\"\"\"\n\tThe config generator determines how new configurations are sampled. This can take very different levels of\n\tcomplexity, from random sampling to the construction of complex empirical prediction models for promising\n\tconfigurations.\n\t\"\"\"\n\tdef __init__(self, logger=None):\n\t\t\"\"\"\n\t\tParameters\n\t\t----------\n\n\t\tdirectory: string\n\t\t\twhere the results are logged\n\t\tlogger: hpbandster.utils.result_logger_v??\n\t\t\tthe logger to store the data, defaults to v1\n\t\toverwrite: bool\n\t\t\twhether or not existing data will be overwritten\n\t\tlogger: logging.logger\n\t\t\tfor some debug output\n\n\t\t\"\"\"\n\n\t\tif logger is None:\n\t\t\tself.logger=logging.getLogger('hpbandster')\n\t\telse:\n\t\t\tself.logger=logger\n\n\tdef get_config(self, budget):\n\t\t\"\"\"\n\t\tfunction to sample a new configuration\n\n\t\tThis function is called inside Hyperband to query a new configuration\n\n\t\tParameters\n\t\t----------\n\t\tbudget: float\n\t\t\tthe budget for which this configuration is scheduled\n\n\t\treturns: (config, info_dict)\n\t\t\tmust return a valid configuration and a (possibly empty) info dict\n\t\t\"\"\"\n\t\traise NotImplementedError('This function needs to be overwritten in %s.'%(self.__class__.__name__))\n\n\tdef new_result(self, job, update_model=True):\n\t\t\"\"\"\n\t\tregisters finished runs\n\n\t\tEvery time a run has finished, this function should be called\n\t\tto register it with the result logger. If overwritten, make\n\t\tsure to call this method from the base class to ensure proper\n\t\tlogging.\n\n\n\t\tParameters\n\t\t----------\n\t\tjob: instance of hpbandster.distributed.dispatcher.Job\n\t\t\tcontains all necessary information about the job\n\t\tupdate_model: boolean\n\t\t\tdetermines whether a model inside the config_generator should be updated\n\t\t\"\"\"\n\t\tif not job.exception is None:\n\t\t\tself.logger.warning(\"job {} failed with exception\\n{}\".format(job.id, job.exception))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/core/base_iteration.py",
    "content": "import sys\n\n\nimport logging\nimport numpy as np\nimport pdb\n\nfrom hpbandster.core.dispatcher import Job\n\n\nclass Datum(object):\n\tdef __init__(self, config, config_info, results=None, time_stamps=None, exceptions=None, status='QUEUED', budget=0):\n\t\tself.config\t\t= config\n\t\tself.config_info= config_info\n\t\tself.results\t= results\t\tif not results is None else {}\n\t\tself.time_stamps= time_stamps\tif not time_stamps is None else {}\n\t\tself.exceptions\t= exceptions\tif not exceptions is None else {}\n\t\tself.status\t\t= status\n\t\tself.budget\t\t= budget\n\n\tdef __repr__(self):\n\t\treturn(\\\n\t\t\t\"\\nconfig:{}\\n\".format(self.config) + \\\n\t\t\t\"config_info:\\n{}\\n\"%self.config_info + \\\n\t\t\t\"losses:\\n\"\n\t\t\t'\\t'.join([\"{}: {}\\t\".format(k, v['loss']) for k,v in self.results.items()]) + \\\n\t\t\t\"time stamps: {}\".format(self.time_stamps)\n\t\t)\n\n\n\nclass BaseIteration(object):\n\t\"\"\"\n\tBase class for various iteration possibilities. This decides what configuration should be run on what budget\n\tnext. Typical choices are e.g. successive halving. Results from runs are processed and (depending on the\n\timplementations) determine the further development.\n\t\"\"\"\n\tdef __init__(self, HPB_iter, num_configs, budgets, config_sampler, logger=None, result_logger=None):\n\t\t\"\"\"\n\t\tParameters\n\t\t----------\n\n\t\tHPB_iter: int\n\t\t\tThe current HPBandSter iteration index.\n\t\tnum_configs: list of ints\n\t\t\tthe number of configurations in each stage of SH\n\t\tbudgets: list of floats\n\t\t\tthe budget associated with each stage\n\t\tconfig_sample: callable\n\t\t\ta function that returns a valid configuration. Its only\n\t\t\targument should be the budget that this config is first\n\t\t\tscheduled for. This might be used to pick configurations\n\t\t\tthat perform best after this particular budget is exhausted\n\t\t\tto build a better autoML system.\n\t\tlogger: a logger\n\t\tresult_logger: hpbandster.api.results.util.json_result_logger object\n\t\t\ta result logger that writes live results to disk\n\t\t\"\"\"\n\n\t\tself.data = {}\t\t\t\t\t# this holds all the configs and results of this iteration\n\t\tself.is_finished = False\n\t\tself.HPB_iter = HPB_iter\n\t\tself.stage = 0\t\t\t\t\t# internal iteration, but different name for clarity\n\t\tself.budgets = budgets\n\t\tself.num_configs = num_configs\n\t\tself.actual_num_configs = [0]*len(num_configs)\n\t\tself.config_sampler = config_sampler\n\t\tself.num_running = 0\n\t\tself.logger=logger if not logger is None else logging.getLogger('hpbandster')\n\t\tself.result_logger = result_logger\n\n\tdef add_configuration(self, config = None, config_info={}):\n\t\t\"\"\"\n\t\tfunction to add a new configuration to the current iteration\n\t\t\n\t\tParameters\n\t\t----------\n\t\t\n\t\tconfig : valid configuration\n\t\t\tThe configuration to add. If None, a configuration is sampled from the config_sampler\n\t\tconfig_info: dict\n\t\t\tSome information about the configuration that will be stored in the results\n\t\t\"\"\"\n\t\t\n\t\tif config is None:\n\t\t\tconfig, config_info = self.config_sampler(self.budgets[self.stage])\n\t\t\n\t\tif self.is_finished:\n\t\t\traise RuntimeError(\"This HPBandSter iteration is finished, you can't add more configurations!\")\n\n\t\tif self.actual_num_configs[self.stage] == self.num_configs[self.stage]:\n\t\t\traise RuntimeError(\"Can't add another configuration to stage %i in HPBandSter iteration %i.\"%(self.stage, self.HPB_iter))\n\n\t\tconfig_id = (self.HPB_iter, self.stage, self.actual_num_configs[self.stage])\n\n\t\tself.data[config_id] = Datum(config=config, config_info=config_info, budget = self.budgets[self.stage])\n\n\t\tself.actual_num_configs[self.stage] += 1\n\t\t\n\t\tif not self.result_logger is None:\n\t\t    self.result_logger.new_config(config_id, config, config_info)\n\t\t\n\t\treturn(config_id)\n\n\tdef register_result(self, job, skip_sanity_checks=False):\n\t\t\"\"\"\n\t\tfunction to register the result of a job\n\n\t\tThis function is called from HB_master, don't call this from\n\t\tyour script.\n\t\t\"\"\"\n\n\t\tif self.is_finished:\n\t\t\traise RuntimeError(\"This HB iteration is finished, you can't register more results!\")\n\n\t\tconfig_id = job.id\n\t\tconfig = job.kwargs['config']\n\t\tbudget = job.kwargs['budget']\n\t\ttimestamps = job.timestamps\n\t\tresult = job.result\n\t\texception = job.exception\n\t\t\n\t\td = self.data[config_id]\n\t\t\n\t\tif not skip_sanity_checks:\n\t\t\tassert d.config == config, 'Configurations differ!'\n\t\t\tassert d.status == 'RUNNING', \"Configuration wasn't scheduled for a run.\"\n\t\t\tassert d.budget == budget, 'Budgets differ (%f != %f)!'%(self.data[config_id]['budget'], budget)\n\n\t\td.time_stamps[budget] = timestamps\n\t\td.results[budget] = result\n\n\t\tif (not job.result is None) and np.isfinite(result['loss']):\n\t\t\td.status = 'REVIEW'\n\t\telse:\n\t\t\td.status = 'CRASHED'\n\n\t\td.exceptions[budget] = exception\n\t\tself.num_running -= 1\n\t\t\n\tdef get_next_run(self):\n\t\t\"\"\"\n\t\tfunction to return the next configuration and budget to run.\n\n\t\tThis function is called from HB_master, don't call this from\n\t\tyour script.\n\n\t\tIt returns None if this run of SH is finished or there are\n\t\tpending jobs that need to finish to progress to the next stage.\n\n\t\tIf there are empty slots to be filled in the current SH stage\n\t\t(which never happens in the original SH version), a new\n\t\tconfiguration will be sampled and scheduled to run next.\n\t\t\"\"\"\n\n\t\tif self.is_finished:\n\t\t\treturn(None)\n\t\t\n\t\tfor k,v in self.data.items():\n\t\t\tif v.status == 'QUEUED':\n\t\t\t\tassert v.budget == self.budgets[self.stage], 'Configuration budget does not align with current stage!'\n\t\t\t\tv.status = 'RUNNING'\n\t\t\t\tself.num_running += 1\n\t\t\t\treturn(k, v.config, v.budget)\n\n\t\t# check if there are still slots to fill in the current stage and return that\n\t\tif (self.actual_num_configs[self.stage] < self.num_configs[self.stage]):\n\t\t\tself.add_configuration()\n\t\t\treturn(self.get_next_run())\n\n\t\tif self.num_running == 0:\n\t\t\t# at this point a stage is completed\n\t\t\tself.process_results()\n\t\t\treturn(self.get_next_run())\n\n\t\treturn(None)\n\n\tdef _advance_to_next_stage(self, config_ids, losses):\n\t\t\"\"\"\n\t\tFunction that implements the strategy to advance configs within this iteration\n\t\t\n\t\tOverload this to implement different strategies, like\n\t\tSuccessiveHalving, SuccessiveResampling.\n\t\t\n\t\tParameters\n\t\t----------\n\t\t\tconfig_ids: list\n\t\t\t\tall config ids to be considered\n\t\t\tlosses: list\n\t\t\t\tlosses of the run on the current budget\n\t\t\t\t\n\t\tReturns\n\t\t-------\n\t\t\tlist of bool\n\t\t\t\tA boolean for each entry in config_ids indicating whether to advance it or not\n\t\t\n\t\t\n\t\t\"\"\"\n\t\traise NotImplementedError('_advance_to_next_stage not implemented for %s'%type(self).__name__)\n\n\tdef process_results(self):\n\t\t\"\"\"\n\t\tfunction that is called when a stage is completed and\n\t\tneeds to be analyzed befor further computations.\n\n\t\tThe code here implements the original SH algorithms by\n\t\tadvancing the k-best (lowest loss) configurations at the current\n\t\tbudget. k is defined by the num_configs list (see __init__)\n\t\tand the current stage value.\n\n\t\tFor more advanced methods like resampling after each stage,\n\t\toverload this function only.\n\t\t\"\"\"\n\t\tself.stage += 1\n\t\t\n\t\t# collect all config_ids that need to be compared\n\t\tconfig_ids = list(filter(lambda cid: self.data[cid].status == 'REVIEW', self.data.keys()))\n\n\t\tif (self.stage >= len(self.num_configs)):\n\t\t\tself.finish_up()\n\t\t\treturn\n\n\t\tbudgets = [self.data[cid].budget for cid in config_ids]\n\t\tif len(set(budgets)) > 1:\n\t\t\traise RuntimeError('Not all configurations have the same budget!')\n\t\tbudget = self.budgets[self.stage-1]\n\n\t\tlosses = np.array([self.data[cid].results[budget]['loss'] for cid in config_ids])\n\n\t\tadvance = self._advance_to_next_stage(config_ids, losses)\n\n\t\tfor i, a in enumerate(advance):\n\t\t\tif a:\n\t\t\t\tself.logger.debug('ITERATION: Advancing config %s to next budget %f'%(config_ids[i], self.budgets[self.stage]))\n\n\t\tfor i, cid in enumerate(config_ids):\n\t\t\tif advance[i]:\n\t\t\t\tself.data[cid].status = 'QUEUED'\n\t\t\t\tself.data[cid].budget = self.budgets[self.stage]\n\t\t\t\tself.actual_num_configs[self.stage] += 1\n\t\t\telse:\n\t\t\t\tself.data[cid].status = 'TERMINATED'\n\n\tdef finish_up(self):\n\t\tself.is_finished = True\n\n\t\tfor k,v in self.data.items():\n\t\t\tassert v.status in ['TERMINATED', 'REVIEW', 'CRASHED'], 'Configuration has not finshed yet!'\n\t\t\tv.status = 'COMPLETED'\n\n\nclass WarmStartIteration(BaseIteration):\n\t\"\"\"\n\titeration that imports a privious Result for warm starting\n\t\"\"\"\n\n\tdef __init__(self, Result, config_generator):\n\t\t\n\t\tself.is_finished=False\n\t\tself.stage = 0\n\n\t\t\n\t\tid2conf = Result.get_id2config_mapping()\n\t\tdelta_t = - max(map(lambda r: r.time_stamps['finished'], Result.get_all_runs()))\n\n\t\tsuper().__init__(-1, [len(id2conf)]\t, [None], None)\n\t\t\n\t\t\n\t\tfor i, id in enumerate(id2conf):\n\t\t\tnew_id = self.add_configuration(config=id2conf[id]['config'], config_info=id2conf[id]['config_info'])\n\t\t\t\n\t\t\tfor r in Result.get_runs_by_id(id):\n\t\t\t\n\t\t\t\t\n\t\t\t\tj = Job(new_id, config=id2conf[id]['config'], budget=r.budget)\n\t\t\t\t\n\t\t\t\tj.result = {'loss': r.loss, 'info': r.info}\n\t\t\t\tj.error_logs = r.error_logs\n\t\t\t\t\n\t\t\t\tfor k,v in r.time_stamps.items():\n\t\t\t\t\tj.timestamps[k] = v + delta_t\n\t\t\t\t\n\t\t\t\tself.register_result(j , skip_sanity_checks=True)\n\t\t\t\t\n\t\t\t\tconfig_generator.new_result(j, update_model=(i==len(id2conf)-1))\n\t\t\t\t\n\t\t# mark as finished, as no more runs should be executed from these runs\n\t\tself.is_finished = True\n\t\t\n\tdef fix_timestamps(self, time_ref):\n\t\t\"\"\"\n\t\t\tmanipulates internal time stamps such that the last run ends at time 0\n\t\t\"\"\"\n\t\t\n\t\tfor k,v in self.data.items():\n\t\t\tfor kk, vv in v.time_stamps.items():\n\t\t\t\tfor kkk,vvv in vv.items():\n\t\t\t\t\tself.data[k].time_stamps[kk][kkk] += time_ref\n\t\t\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/core/dispatcher.py",
    "content": "import threading\nimport logging\nimport queue\nimport time\n\nimport Pyro4\n\n\nclass Job(object):\n\tdef __init__(self, id, **kwargs):\n\t\tself.id = id\n\t\t\n\t\tself.kwargs = kwargs\n\t\t\n\t\tself.timestamps = {}\n\n\t\tself.result = None\n\t\tself.exception = None\n\n\t\tself.worker_name = None\n\n\tdef time_it(self, which_time):\n\t\tself.timestamps[which_time] = time.time()\n\n\tdef __repr__(self):\n\t\treturn(\\\n\t\t\t\"job_id: \" +str(self.id) + \"\\n\" + \\\n\t\t\t\"kwargs: \" + str(self.kwargs) + \"\\n\" + \\\n\t\t\t\"result: \" + str(self.result)+ \"\\n\" +\\\n\t\t\t\"exception: \"+ str(self.exception) + \"\\n\"\n\t\t)\n\tdef recreate_from_run(self, run):\n\t\t\n\t\trun.config_id\n\t\trun.budget\n\t\trun.error_logs  \n\t\trun.loss        \n\t\trun.info        \n\t\trun.time_stamps \n\n\n\n\nclass Worker(object):\n\tdef __init__(self, name, uri):\n\t\tself.name = name\n\t\tself.proxy = Pyro4.Proxy(uri)\n\t\tself.runs_job = None\n\n\tdef is_alive(self):\n\t\ttry:\n\t\t\tself.proxy._pyroReconnect(1)\n\t\texcept Pyro4.errors.ConnectionClosedError:\n\t\t\treturn False\n\t\texcept:\n\t\t\traise\n\t\treturn(True)\n\t\n\tdef shutdown(self):\n\t\tself.proxy.shutdown()\n\n\tdef is_busy(self):\n\t\treturn(self.proxy.is_busy())\n\t\t\n\tdef __repr__(self):\n\t\treturn(self.name)\n\n\nclass Dispatcher(object):\n\t\"\"\"\n\tThe dispatcher is responsible for assigning tasks to free workers, report results back to the master and\n\tcommunicate to the nameserver.\n\t\"\"\"\n\tdef __init__(self, new_result_callback, run_id='0',\n\t\t\t\t\tping_interval=10, nameserver='localhost',\n\t\t\t\t\tnameserver_port=None, \n\t\t\t\t\thost=None, logger=None, queue_callback=None):\n\t\t\"\"\"\n\t\tParameters\n\t\t----------\n\t\tnew_result_callback: function\n\t\t    function that will be called with a `Job instance <hpbandster.core.dispatcher.Job>`_ as argument.\n\t\t    From the `Job` the result can be read and e.g. logged.\n\t\trun_id: str\n\t\t    unique run_id associated with the HPB run\n\t\tping_interval: int\n\t\t    how often to ping for workers (in seconds)\n\t\tnameserver: str\n\t\t    address of the Pyro4 nameserver\n\t\tnameserver_port: int\n\t\t    port of Pyro4 nameserver\n\t\thost: str\n\t\t    ip (or name that resolves to that) of the network interface to use\n\t\tlogger: logging.Logger\n\t\t    logger-instance for info and debug\n\t\tqueue_callback: function\n\t\t    gets called with the number of workers in the pool on every update-cycle\n\t\t\"\"\"\n\n\t\tself.new_result_callback = new_result_callback\n\t\tself.queue_callback = queue_callback\n\t\tself.run_id = run_id\n\t\tself.nameserver = nameserver\n\t\tself.nameserver_port = nameserver_port\n\t\tself.host = host\n\t\tself.ping_interval = int(ping_interval)\n\t\tself.shutdown_all_threads = False\n\n\n\t\tif logger is None:\n\t\t\tself.logger = logging.getLogger('hpbandster')\n\t\telse:\n\t\t\tself.logger = logger\n\n\t\tself.worker_pool = {}\n\n\t\tself.waiting_jobs = queue.Queue()\n\t\tself.running_jobs = {}\n\t\tself.idle_workers = set()\n\n\n\t\tself.thread_lock = threading.Lock()\n\t\tself.runner_cond = threading.Condition(self.thread_lock)\n\t\tself.discover_cond = threading.Condition(self.thread_lock)\n\n\t\tself.pyro_id=\"hpbandster.run_%s.dispatcher\"%self.run_id\n\n\n\tdef run(self):\n\t\twith self.discover_cond:\n\t\t\tt1 = threading.Thread(target=self.discover_workers, name='discover_workers')\n\t\t\tt1.start()\n\t\t\tself.logger.info('DISPATCHER: started the \\'discover_worker\\' thread')\n\t\t\tt2 = threading.Thread(target=self.job_runner, name='job_runner')\n\t\t\tt2.start()\n\t\t\tself.logger.info('DISPATCHER: started the \\'job_runner\\' thread')\n\t\n\n\t\t\tself.pyro_daemon = Pyro4.core.Daemon(host=self.host)\n\n\t\t\twith Pyro4.locateNS(host=self.nameserver, port=self.nameserver_port) as ns:\n\t\t\t\turi = self.pyro_daemon.register(self, self.pyro_id)\n\t\t\t\tns.register(self.pyro_id, uri)\n\n\t\t\tself.logger.info(\"DISPATCHER: Pyro daemon running on %s\"%(self.pyro_daemon.locationStr))\n\n\t\t\n\t\tself.pyro_daemon.requestLoop()\n\n\n\t\twith self.discover_cond:\n\t\t\tself.shutdown_all_threads = True\n\t\t\tself.logger.info('DISPATCHER: Dispatcher shutting down')\n\t\t\t\n\t\t\tself.runner_cond.notify_all()\n\t\t\tself.discover_cond.notify_all()\n\t\t\t\n\t\t\t\n\t\t\n\t\t\twith Pyro4.locateNS(self.nameserver, port=self.nameserver_port) as ns:\n\t\t\t\tns.remove(self.pyro_id)\n\n\t\tt1.join()\n\t\tself.logger.debug('DISPATCHER: \\'discover_worker\\' thread exited')\n\t\tt2.join()\n\t\tself.logger.debug('DISPATCHER: \\'job_runner\\' thread exited')\n\t\tself.logger.info('DISPATCHER: shut down complete')\n\n\tdef shutdown_all_workers(self, rediscover=False):\n\t\twith self.discover_cond:\n\t\t\tfor worker in self.worker_pool.values():\n\t\t\t\tworker.shutdown()\n\t\t\tif rediscover:\n\t\t\t\ttime.sleep(1)\n\t\t\t\tself.discover_cond.notify()\n\n\tdef shutdown(self, shutdown_workers=False):\n\t\tif shutdown_workers:\n\t\t\tself.shutdown_all_workers()\n\n\t\twith self.runner_cond:\n\t\t\tself.pyro_daemon.shutdown()\n\t\n\t@Pyro4.expose\n\t@Pyro4.oneway\n\tdef trigger_discover_worker(self):\n\t\t#time.sleep(1)\n\t\tself.logger.info(\"DISPATCHER: A new worker triggered discover_worker\")\n\t\twith self.discover_cond:\n\t\t\tself.discover_cond.notify()\n\n\t\n\tdef discover_workers(self):\n\t\tself.discover_cond.acquire()\n\t\tsleep_interval = 1\n\t\t\n\t\twhile True:\n\t\t\tself.logger.debug('DISPATCHER: Starting worker discovery')\n\t\t\tupdate = False\n\t\t\n\t\t\twith Pyro4.locateNS(host=self.nameserver, port=self.nameserver_port) as ns:\n\t\t\t\tworker_names = ns.list(prefix=\"hpbandster.run_%s.worker.\"%self.run_id)\n\t\t\t\tself.logger.debug(\"DISPATCHER: Found %i potential workers, %i currently in the pool.\"%(len(worker_names), len(self.worker_pool)))\n\t\t\t\t\n\t\t\t\tfor wn, uri in worker_names.items():\n\t\t\t\t\tif not wn in self.worker_pool:\n\t\t\t\t\t\tw = Worker(wn, uri)\n\t\t\t\t\t\tif not w.is_alive():\n\t\t\t\t\t\t\tself.logger.debug('DISPATCHER: skipping dead worker, %s'%wn)\n\t\t\t\t\t\t\tcontinue \n\t\t\t\t\t\tupdate = True\n\t\t\t\t\t\tself.logger.info('DISPATCHER: discovered new worker, %s'%wn)\n\t\t\t\t\t\tself.worker_pool[wn] = w\n\n\t\t\t# check the current list of workers\n\t\t\tcrashed_jobs = set()\n\n\t\t\tall_workers = list(self.worker_pool.keys())\n\t\t\tfor wn in all_workers:\n\t\t\t\t# remove dead entries from the nameserver\n\t\t\t\tif not self.worker_pool[wn].is_alive():\n\t\t\t\t\tself.logger.info('DISPATCHER: removing dead worker, %s'%wn)\n\t\t\t\t\tupdate = True\n\t\t\t\t\t# todo check if there were jobs running on that that need to be rescheduled\n\n\t\t\t\t\tcurrent_job = self.worker_pool[wn].runs_job\n\n\t\t\t\t\tif not current_job is None:\n\t\t\t\t\t\tself.logger.info('Job %s was not completed'%str(current_job))\n\t\t\t\t\t\tcrashed_jobs.add(current_job)\n\n\t\t\t\t\tdel self.worker_pool[wn]\n\t\t\t\t\tself.idle_workers.discard(wn)\n\t\t\t\t\tcontinue\n\t\t\t\t\t\n\t\t\t\tif not self.worker_pool[wn].is_busy():\n\t\t\t\t\tself.idle_workers.add(wn)\n\n\n\t\t\t# try to submit more jobs if something changed\n\t\t\tif update:\n\t\t\t\tif not self.queue_callback is None:\n\t\t\t\t\tself.discover_cond.release()\n\t\t\t\t\tself.queue_callback(len(self.worker_pool))\n\t\t\t\t\tself.discover_cond.acquire()\n\t\t\t\tself.runner_cond.notify()\n\n\t\t\tfor crashed_job in crashed_jobs:\n\t\t\t\tself.discover_cond.release()\n\t\t\t\tself.register_result(crashed_job, {'result': None, 'exception': 'Worker died unexpectedly.'})\n\t\t\t\tself.discover_cond.acquire()\n\n\t\t\tself.logger.debug('DISPATCHER: Finished worker discovery')\n\n\t\t\t#if (len(self.worker_pool) == 0 ): # ping for new workers if no workers are currently available\n\t\t\t#\tself.logger.debug('No workers available! Keep pinging')\n\t\t\t#\tself.discover_cond.wait(sleep_interval)\n\t\t\t#\tsleep_interval *= 2\n\t\t\t#else:\n\t\t\tself.discover_cond.wait(self.ping_interval)\n\n\t\t\tif self.shutdown_all_threads:\n\t\t\t\tself.logger.debug('DISPATCHER: discover_workers shutting down')\n\t\t\t\tself.runner_cond.notify()\n\t\t\t\tself.discover_cond.release()\n\t\t\t\treturn\n\n\tdef number_of_workers(self):\n\t\twith self.discover_cond:\n\t\t\treturn(len(self.worker_pool))\n\n\tdef job_runner(self):\n\t\t\n\t\tself.runner_cond.acquire()\n\t\twhile True:\n\t\t\t\n\t\t\twhile self.waiting_jobs.empty() or len(self.idle_workers) == 0:\n\t\t\t\tself.logger.debug('DISPATCHER: jobs to submit = %i, number of idle workers = %i -> waiting!'%(self.waiting_jobs.qsize(),  len(self.idle_workers) ))\n\t\t\t\tself.runner_cond.wait()\n\t\t\t\tself.logger.debug('DISPATCHER: Trying to submit another job.')\n\t\t\t\tif self.shutdown_all_threads:\n\t\t\t\t\tself.logger.debug('DISPATCHER: job_runner shutting down')\n\t\t\t\t\tself.discover_cond.notify()\n\t\t\t\t\tself.runner_cond.release()\n\t\t\t\t\treturn\n\t\t\t\n\t\t\tjob = self.waiting_jobs.get()\n\t\t\twn = self.idle_workers.pop()\n\n\t\t\tworker = self.worker_pool[wn]\n\t\t\tself.logger.debug('DISPATCHER: starting job %s on %s'%(str(job.id),worker.name))\n\t\t\n\t\t\tjob.time_it('started')\n\t\t\tworker.runs_job = job.id\n\t\t\n\t\t\tworker.proxy.start_computation(self, job.id, **job.kwargs)\n\n\t\t\tjob.worker_name = wn\n\t\t\tself.running_jobs[job.id] = job\n\n\t\t\tself.logger.debug('DISPATCHER: job %s dispatched on %s'%(str(job.id),worker.name))\n\n\n\tdef submit_job(self, id, **kwargs):\n\t\tself.logger.debug('DISPATCHER: trying to submit job %s'%str(id))\n\t\twith self.runner_cond:\n\t\t\tjob = Job(id, **kwargs)\n\t\t\tjob.time_it('submitted')\n\t\t\tself.waiting_jobs.put(job)\n\t\t\tself.logger.debug('DISPATCHER: trying to notify the job_runner thread.')\n\t\t\tself.runner_cond.notify()\n\n\t@Pyro4.expose\n\t@Pyro4.callback\n\t@Pyro4.oneway\n\tdef register_result(self, id=None, result=None):\n\t\tself.logger.debug('DISPATCHER: job %s finished'%(str(id)))\n\t\twith self.runner_cond:\n\t\t\tself.logger.debug('DISPATCHER: register_result: lock acquired')\n\t\t\t# fill in missing information\n\t\t\tjob = self.running_jobs[id]\n\t\t\tjob.time_it('finished')\n\t\t\tjob.result = result['result']\n\t\t\tjob.exception = result['exception']\n\n\t\t\tself.logger.debug('DISPATCHER: job %s on %s finished'%(str(job.id),job.worker_name))\n\t\t\tself.logger.debug(str(job))\n\t\t\t\n\t\t\t# delete job\n\t\t\tdel self.running_jobs[id]\n\n\t\t\t# label worker as idle again\n\t\t\ttry:\n\t\t\t\tself.worker_pool[job.worker_name].runs_job = None\n\t\t\t\tself.worker_pool[job.worker_name].proxy._pyroRelease()\n\t\t\t\tself.idle_workers.add(job.worker_name)\n\t\t\t\t# notify the job_runner to check for more jobs to run\n\t\t\t\tself.runner_cond.notify()\n\t\t\texcept KeyError:\n\t\t\t\t# happens for crashed workers, but we can just continue\n\t\t\t\tpass\n\t\t\texcept:\n\t\t\t\traise\n\n\t\t# call users callback function to register the result\n\t\t# needs to be with the condition released, as the master can call\n\t\t# submit_job quickly enough to cause a dead-lock\n\t\tself.new_result_callback(job)\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/core/master.py",
    "content": "import os\nimport threading\nimport time\nimport math\nimport pdb\nimport copy\nimport logging\n\nimport numpy as np\n\n\nfrom hpbandster.core.dispatcher import Dispatcher\nfrom hpbandster.core.result import Result\nfrom hpbandster.core.base_iteration import WarmStartIteration\n\n\n\n\nclass Master(object):\n\tdef __init__(self,\n\t\t\trun_id,\n\t\t\tconfig_generator,\n\t\t\tworking_directory='.',\n\t\t\tping_interval=60,\n\t\t\tnameserver='127.0.0.1',\n\t\t\tnameserver_port=None,\n\t\t\thost=None,\n\t\t\tshutdown_workers=True,\n\t\t\tjob_queue_sizes=(-1,0),\n\t\t\tdynamic_queue_size=True,\n\t\t\tlogger=None,\n\t\t\tresult_logger=None,\n\t\t\tprevious_result = None,\n\t\t\t):\n\t\t\"\"\"The Master class is responsible for the book keeping and to decide what to run next. Optimizers are\n                instantiations of Master, that handle the important steps of deciding what configurations to run on what\n                budget when.\n\t\t\n\t\tParameters\n\t\t----------\n\t\trun_id : string\n\t\t\tA unique identifier of that Hyperband run. Use, for example, the cluster's JobID when running multiple\n\t\t\tconcurrent runs to separate them\n\t\tconfig_generator: hpbandster.config_generators object\n\t\t\tAn object that can generate new configurations and registers results of executed runs\n\t\tworking_directory: string\n\t\t\tThe top level working directory accessible to all compute nodes(shared filesystem).\n\t\teta : float\n\t\t\tIn each iteration, a complete run of sequential halving is executed. In it,\n\t\t\tafter evaluating each configuration on the same subset size, only a fraction of\n\t\t\t1/eta of them 'advances' to the next round.\n\t\t\tMust be greater or equal to 2.\n\t\tmin_budget : float\n\t\t\tThe smallest budget to consider. Needs to be positive!\n\t\tmax_budget : float\n\t\t\tthe largest budget to consider. Needs to be larger than min_budget!\n\t\t\tThe budgets will be geometrically distributed :math:`\\sim \\eta^k` for\n\t\t\t:math:`k\\in [0, 1, ... , num\\_subsets - 1]`.\n\t\tping_interval: int\n\t\t\tnumber of seconds between pings to discover new nodes. Default is 60 seconds.\n\t\tnameserver: str\n\t\t\taddress of the Pyro4 nameserver\n\t\tnameserver_port: int\n\t\t\tport of Pyro4 nameserver\n\t\thost: str\n\t\t\tip (or name that resolves to that) of the network interface to use\n\t\tshutdown_workers: bool\n\t\t\tflag to control whether the workers are shutdown after the computation is done\n\t\tjob_queue_size: tuple of ints\n\t\t\tmin and max size of the job queue. During the run, when the number of jobs in the queue\n\t\t\treaches the min value, it will be filled up to the max size. Default: (0,1)\n\t\tdynamic_queue_size: bool\n\t\t\tWhether or not to change the queue size based on the number of workers available.\n\t\t\tIf true (default), the job_queue_sizes are relative to the current number of workers.\n\t\tlogger: logging.logger like object\n\t\t\tthe logger to output some (more or less meaningful) information\n\t\tresult_logger: hpbandster.api.results.util.json_result_logger object\n\t\t\ta result logger that writes live results to disk\n\t\tprevious_result: hpbandster.core.result.Result object\n\t\t\tprevious run to warmstart the run\n\t\t\"\"\"\n\n\t\tself.working_directory = working_directory\n\t\tos.makedirs(self.working_directory, exist_ok=True)\n\t\t\n\n\t\tif logger is None:\n\t\t\tself.logger = logging.getLogger('hpbandster')\n\t\telse:\n\t\t\tself.logger = logger\n\n\t\tself.result_logger = result_logger\n\n\n\t\tself.config_generator = config_generator\n\t\tself.time_ref = None\n\n\n\t\tself.iterations = []\n\t\tself.jobs = []\n\n\t\tself.num_running_jobs = 0\n\t\tself.job_queue_sizes = job_queue_sizes\n\t\tself.user_job_queue_sizes = job_queue_sizes\n\t\tself.dynamic_queue_size = dynamic_queue_size\n\n\t\tif job_queue_sizes[0] >= job_queue_sizes[1]:\n\t\t\traise ValueError(\"The queue size range needs to be (min, max) with min<max!\")\n\n\t\tif previous_result is None:\n\t\t\tself.warmstart_iteration = []\n\n\t\telse:\n\t\t\tself.warmstart_iteration = [WarmStartIteration(previous_result, self.config_generator)]\n\n\t\t# condition to synchronize the job_callback and the queue\n\t\tself.thread_cond = threading.Condition()\n\n\t\tself.config = {\n\t\t\t\t\t\t'time_ref'   : self.time_ref\n\t\t\t\t\t}\n\n\t\tself.dispatcher = Dispatcher( self.job_callback, queue_callback=self.adjust_queue_size, run_id=run_id, ping_interval=ping_interval, nameserver=nameserver, nameserver_port=nameserver_port, host=host)\n\n\t\tself.dispatcher_thread = threading.Thread(target=self.dispatcher.run)\n\t\tself.dispatcher_thread.start()\n\n\n\tdef shutdown(self, shutdown_workers=False):\n\t\tself.logger.debug('HBMASTER: shutdown initiated, shutdown_workers = %s'%(str(shutdown_workers)))\n\t\tself.dispatcher.shutdown(shutdown_workers)\n\t\tself.dispatcher_thread.join()\n\n\n\tdef wait_for_workers(self, min_n_workers=1):\n\t\t\"\"\"\n\t\thelper function to hold execution until some workers are active\n\n\t\tParameters\n\t\t----------\n\t\tmin_n_workers: int\n\t\t\tminimum number of workers present before the run starts\t\t\n\t\t\"\"\"\n\t\n\t\tself.logger.debug('wait_for_workers trying to get the condition')\n\t\twith self.thread_cond:\n\t\t\twhile (self.dispatcher.number_of_workers() < min_n_workers):\n\t\t\t\tself.logger.debug('HBMASTER: only %i worker(s) available, waiting for at least %i.'%(self.dispatcher.number_of_workers(), min_n_workers))\n\t\t\t\tself.thread_cond.wait(1)\n\t\t\t\tself.dispatcher.trigger_discover_worker()\n\t\t\t\t\n\t\tself.logger.debug('Enough workers to start this run!')\n\t\t\t\n\n\tdef get_next_iteration(self, iteration, iteration_kwargs):\n\t\t\"\"\"\n\t\tinstantiates the next iteration\n\n\t\tOverwrite this to change the iterations for different optimizers\n\n\t\tParameters\n\t\t----------\n\t\t\titeration: int\n\t\t\t\tthe index of the iteration to be instantiated\n\t\t\titeration_kwargs: dict\n\t\t\t\tadditional kwargs for the iteration class\n\n\t\tReturns\n\t\t-------\n\t\t\tHB_iteration: a valid HB iteration object\n\t\t\"\"\"\n\t\t\n\t\traise NotImplementedError('implement get_next_iteration for %s'%(type(self).__name__))\n\n\n\tdef run(self, n_iterations=1, min_n_workers=1, iteration_kwargs = {},):\n\t\t\"\"\"\n\t\t\trun n_iterations of SuccessiveHalving\n\n\t\tParameters\n\t\t----------\n\t\tn_iterations: int\n\t\t\tnumber of iterations to be performed in this run\n\t\tmin_n_workers: int\n\t\t\tminimum number of workers before starting the run\n\t\t\"\"\"\n\n\t\tself.wait_for_workers(min_n_workers)\n\t\t\n\t\titeration_kwargs.update({'result_logger': self.result_logger})\n\n\t\tif self.time_ref is None:\n\t\t\tself.time_ref = time.time()\n\t\t\tself.config['time_ref'] = self.time_ref\n\t\t\n\t\t\tself.logger.info('HBMASTER: starting run at %s'%(str(self.time_ref)))\n\n\t\tself.thread_cond.acquire()\n\t\twhile True:\n\n\t\t\tself._queue_wait()\n\t\t\t\n\t\t\tnext_run = None\n\t\t\t# find a new run to schedule\n\t\t\tfor i in self.active_iterations():\n\t\t\t\tnext_run = self.iterations[i].get_next_run()\n\t\t\t\tif not next_run is None: break\n\n\t\t\tif not next_run is None:\n\t\t\t\tself.logger.debug('HBMASTER: schedule new run for iteration %i'%i)\n\t\t\t\tself._submit_job(*next_run)\n\t\t\t\tcontinue\n\t\t\telse:\n\t\t\t\tif n_iterations > 0:\t#we might be able to start the next iteration\n\t\t\t\t\tself.iterations.append(self.get_next_iteration(len(self.iterations), iteration_kwargs))\n\t\t\t\t\tn_iterations -= 1\n\t\t\t\t\tcontinue\n\n\t\t\t# at this point there is no imediate run that can be scheduled,\n\t\t\t# so wait for some job to finish if there are active iterations\n\t\t\tif self.active_iterations():\n\t\t\t\tself.thread_cond.wait()\n\t\t\telse:\n\t\t\t\tbreak\n\n\t\tself.thread_cond.release()\n\t\t\n\t\tfor i in self.warmstart_iteration:\n\t\t\ti.fix_timestamps(self.time_ref)\n\t\t\t\n\t\tws_data = [i.data for i in self.warmstart_iteration]\n\t\t\n\t\treturn Result([copy.deepcopy(i.data) for i in self.iterations] + ws_data, self.config)\n\n\n\tdef adjust_queue_size(self, number_of_workers=None):\n\n\t\tself.logger.debug('HBMASTER: number of workers changed to %s'%str(number_of_workers))\n\t\twith self.thread_cond:\n\t\t\tself.logger.debug('adjust_queue_size: lock accquired')\n\t\t\tif self.dynamic_queue_size:\n\t\t\t\tnw = self.dispatcher.number_of_workers() if number_of_workers is None else number_of_workers\n\t\t\t\tself.job_queue_sizes = (self.user_job_queue_sizes[0] + nw, self.user_job_queue_sizes[1] + nw)\n\t\t\t\tself.logger.info('HBMASTER: adjusted queue size to %s'%str(self.job_queue_sizes))\n\t\t\tself.thread_cond.notify_all()\n\n\n\tdef job_callback(self, job):\n\t\t\"\"\"\n\t\tmethod to be called when a job has finished\n\n\t\tthis will do some book keeping and call the user defined\n\t\tnew_result_callback if one was specified\n\t\t\"\"\"\n\t\tself.logger.debug('job_callback for %s started'%str(job.id))\n\t\twith self.thread_cond:\n\t\t\tself.logger.debug('job_callback for %s got condition'%str(job.id))\n\t\t\tself.num_running_jobs -= 1\n\n\t\t\tif not self.result_logger is None:\n\t\t\t\tself.result_logger(job)\n\t\t\tself.iterations[job.id[0]].register_result(job)\n\t\t\tself.config_generator.new_result(job)\n\n\t\t\tif self.num_running_jobs <= self.job_queue_sizes[0]:\n\t\t\t\tself.logger.debug(\"HBMASTER: Trying to run another job!\")\n\t\t\t\tself.thread_cond.notify()\n\n\t\tself.logger.debug('job_callback for %s finished'%str(job.id))\n\n\tdef _queue_wait(self):\n\t\t\"\"\"\n\t\thelper function to wait for the queue to not overflow/underload it\n\t\t\"\"\"\n\t\t\n\t\tif self.num_running_jobs >= self.job_queue_sizes[1]:\n\t\t\twhile(self.num_running_jobs > self.job_queue_sizes[0]):\n\t\t\t\tself.logger.debug('HBMASTER: running jobs: %i, queue sizes: %s -> wait'%(self.num_running_jobs, str(self.job_queue_sizes)))\n\t\t\t\tself.thread_cond.wait()\n\n\tdef _submit_job(self, config_id, config, budget):\n\t\t\"\"\"\n\t\thidden function to submit a new job to the dispatcher\n\n\t\tThis function handles the actual submission in a\n\t\t(hopefully) thread save way\n\t\t\"\"\"\n\t\tself.logger.debug('HBMASTER: trying submitting job %s to dispatcher'%str(config_id))\n\t\twith self.thread_cond:\n\t\t\tself.logger.debug('HBMASTER: submitting job %s to dispatcher'%str(config_id))\n\t\t\tself.dispatcher.submit_job(config_id, config=config, budget=budget, working_directory=self.working_directory)\n\t\t\tself.num_running_jobs += 1\n\n\t\t#shouldn't the next line be executed while holding the condition?\n\t\tself.logger.debug(\"HBMASTER: job %s submitted to dispatcher\"%str(config_id))\n\n\tdef active_iterations(self):\n\t\t\"\"\"\n\t\tfunction to find active (not marked as finished) iterations \n\n\t\tReturns\n\t\t-------\n\t\t\tlist: all active iteration objects (empty if there are none)\n\t\t\"\"\"\n\n\t\tl = list(filter(lambda idx: not self.iterations[idx].is_finished, range(len(self.iterations))))\n\t\treturn(l)\n\n\tdef __del__(self):\n\t\tpass\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/core/nameserver.py",
    "content": "import os\nimport pickle\nimport json\nimport threading\n\nimport Pyro4.naming\n\n\ndef nic_name_to_host(nic_name):\n\t\"\"\" helper function to translate the name of a network card into a valid host name\"\"\"\n\tfrom netifaces import ifaddresses, AF_INET\n\thost = ifaddresses(nic_name).setdefault(AF_INET, [{'addr': 'No IP addr'}] )[0]['addr']\n\treturn(host)\n\n\nclass NameServer(object):\n\t\"\"\"\n\tThe nameserver serves as a phonebook-like lookup table for your workers. Unique names are created so the workers\n\tcan work in parallel and register their results without creating racing conditions. The implementation uses\n\t`PYRO4 <https://pythonhosted.org/Pyro4/nameserver.html>`_ as a backend and this class is basically a wrapper.\n\t\"\"\"\n\tdef __init__(self, run_id, working_directory=None, host=None, port=0, nic_name=None):\n\t\t\"\"\"\n\t\tParameters\n\t\t----------\n\t\t\trun_id: str\n\t\t\t\tunique run_id associated with the HPB run\n\t\t\tworking_directory: str\n\t\t\t\tpath to the working directory of the HPB run to store the nameservers credentials.\n\t\t\t\tIf None, no config file will be written.\n\t\t\thost: str\n\t\t\t\tthe hostname to use for the nameserver\n\t\t\tport: int\n\t\t\t\tthe port to be used. Default (=0) means a random port\n\t\t\tnic_name: str\n\t\t\t\tname of the network interface to use (only used if host is not given)\n\t\t\"\"\"\n\t\tself.run_id = run_id\n\t\tself.host = host\n\t\tself.nic_name = nic_name\n\t\tself.port = port\n\t\tself.dir = working_directory\n\t\tself.conf_fn = None\n\t\tself.pyro_ns = None\n\n\n\n\tdef start(self):\n\t\t\"\"\"\t\n\t\tstarts a Pyro4 nameserver in a separate thread\n\t\t\n\t\tReturns\n\t\t-------\n\t\t\ttuple (str, int):\n\t\t\t\tthe host name and the used port\n\t\t\"\"\"\n\t\n\t\tif self.host is None:\n\t\t\tif self.nic_name is None:\n\t\t\t\tself.host = 'localhost'\n\t\t\telse:\n\t\t\t\tself.host = nic_name_to_host(self.nic_name)\n\n\t\turi, self.pyro_ns, _ = Pyro4.naming.startNS(host=self.host, port=self.port)\n\n\t\tself.host, self.port = self.pyro_ns.locationStr.split(':')\n\t\tself.port = int(self.port)\n\t\t\n\t\tthread = threading.Thread(target=self.pyro_ns.requestLoop, name='Pyro4 nameserver started by HpBandSter')\n\t\tthread.start()\n\n\t\tif not self.dir is None:\n\t\t\tos.makedirs(self.dir, exist_ok=True)\n\t\t\tself.conf_fn = os.path.join(self.dir, 'HPB_run_%s_pyro.pkl'%self.run_id)\n\n\t\t\twith open(self.conf_fn, 'wb') as fh:\n\t\t\t\tpickle.dump((self.host, self.port), fh)\n\t\t\n\t\treturn(self.host, self.port)\n\n\n\tdef shutdown(self):\n\t\t\"\"\"\n\t\t\tclean shutdown of the nameserver and the config file (if written)\n\t\t\"\"\"\n\t\tif not self.pyro_ns is None:\n\t\t\tself.pyro_ns.shutdown()\n\t\t\tself.pyro_ns = None\n\t\t\n\t\tif not self.conf_fn is None:\n\t\t\tos.remove(self.conf_fn)\n\t\t\tself.conf_fn = None\n\n\n\tdef __del__(self):\n\t\tself.shutdown()\n\n\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/core/result.py",
    "content": "import copy\nimport os\nimport json\n\nfrom hpbandster.core.base_iteration import  Datum\n\nclass Run(object):\n\t\"\"\"\n\t\tNot a proper class, more a 'struct' to bundle important\n\t\tinformation about a particular run\n\t\"\"\"\n\tdef __init__(self, config_id, budget, loss, info, time_stamps, error_logs):\n\t\tself.config_id   = config_id\n\t\tself.budget      = budget\n\t\tself.error_logs  = error_logs\n\t\tself.loss        = loss\n\t\tself.info        = info\n\t\tself.time_stamps = time_stamps\n\n\tdef __repr__(self):\n\t\treturn(\\\n\t\t\t\"config_id: %s\\t\"%(self.config_id,) + \\\n\t\t\t\"budget: %f\\t\"%self.budget + \\\n\t\t\t\"loss: %s\\n\"%self.loss + \\\n\t\t\t\"time_stamps: {submitted} (submitted), {started} (started), {finished} (finished)\\n\".format(**self.time_stamps) + \\\n\t\t\t\"info: %s\\n\"%self.info\n\t\t)\n\tdef __getitem__ (self, k):\n\t\t\"\"\"\n\t\t\t in case somebody wants to use it like a dictionary\n\t\t\"\"\"\n\t\treturn(getattr(self, k))\n\n\ndef extract_HBS_learning_curves(runs):\n\t\"\"\"\n\tfunction to get the hyperband learning curves\n\n\tThis is an example function showing the interface to use the\n\tHB_result.get_learning_curves method.\n\n\tParameters\n\t----------\n\n\truns: list of HB_result.run objects\n\t\tthe performed runs for an unspecified config\n\n\tReturns\n\t-------\n\n\tlist of learning curves: list of lists of tuples\n\t\tAn individual learning curve is a list of (t, x_t) tuples.\n\t\tThis function must return a list of these. One could think\n\t\tof cases where one could extract multiple learning curves\n\t\tfrom these runs, e.g. if each run is an independent training\n\t\trun of a neural network on the data.\n\t\t\n\t\"\"\"\n\tsr = sorted(runs, key=lambda r: r.budget)\n\tlc = list(filter(lambda t: not t[1] is None, [(r.budget, r.loss) for r in sr]))\n\treturn([lc,])\n\t\t\n\nclass json_result_logger(object):\n\tdef __init__(self, directory, overwrite=False):\n\t\t\"\"\"\n\t\tconvenience logger for 'semi-live-results'\n\n\t\tLogger that writes job results into two files (configs.json and results.json).\n\t\tBoth files contain propper json objects in each line.\n\n\t\tThis version opens and closes the files for each result.\n\t\tThis might be very slow if individual runs are fast and the\n\t\tfilesystem is rather slow (e.g. a NFS).\n\n\t\tParameters\n\t\t----------\n\n\t\tdirectory: string\n\t\t\tthe directory where the two files 'configs.json' and\n\t\t\t'results.json' are stored\n\t\toverwrite: bool\n\t\t\tIn case the files already exist, this flag controls the\n\t\t\tbehavior:\n\t\t\t\n\t\t\t\t* True:   The existing files will be overwritten. Potential risk of deleting previous results\n\t\t\t\t* False:  A FileExistsError is raised and the files are not modified.\n\t\t\"\"\"\n\n\t\tos.makedirs(directory, exist_ok=True)\n\n\t\t\n\t\tself.config_fn  = os.path.join(directory, 'configs.json')\n\t\tself.results_fn = os.path.join(directory, 'results.json')\n\n\n\t\ttry:\n\t\t\twith open(self.config_fn, 'x') as fh: pass\n\t\texcept FileExistsError:\n\t\t\tif overwrite:\n\t\t\t\twith open(self.config_fn, 'w') as fh: pass\n\t\t\telse:\n\t\t\t\traise FileExistsError('The file %s already exists.'%self.config_fn)\n\t\texcept:\n\t\t\traise\n\n\t\ttry:\n\t\t\twith open(self.results_fn, 'x') as fh: pass\n\t\texcept FileExistsError:\n\t\t\tif overwrite:\n\t\t\t\twith open(self.results_fn, 'w') as fh: pass\n\t\t\telse:\n\t\t\t\traise FileExistsError('The file %s already exists.'%self.config_fn)\n\n\t\texcept:\n\t\t\traise\n\n\t\tself.config_ids = set()\n\n\tdef new_config(self, config_id, config, config_info):\n\t\tif not config_id in self.config_ids:\n\t\t\tself.config_ids.add(config_id)\n\t\t\twith open(self.config_fn, 'a') as fh:\n\t\t\t\tfh.write(json.dumps([config_id, config, config_info]))\n\t\t\t\tfh.write('\\n')\n\n\tdef __call__(self, job):\n\t\tif not job.id in self.config_ids:\n\t\t\t#should never happen! TODO: log warning here!\n\t\t\tself.config_ids.add(job.id)\n\t\t\twith open(self.config_fn, 'a') as fh:\n\t\t\t\tfh.write(json.dumps([job.id, job.kwargs['config'], {}]))\n\t\t\t\tfh.write('\\n')\n\t\twith open(self.results_fn, 'a') as fh:\n\t\t\tfh.write(json.dumps([job.id, job.kwargs['budget'], job.timestamps, job.result, job.exception]))\n\t\t\tfh.write(\"\\n\")\n\n\ndef logged_results_to_HBS_result(directory):\n\t\"\"\"\n\tfunction to import logged 'live-results' and return a HB_result object\n\n\tYou can load live run results with this function and the returned\n\tHB_result object gives you access to the results the same way\n\ta finished run would.\n\t\n\tParameters\n\t----------\n\tdirectory: str\n\t\tthe directory containing the results.json and config.json files\n\n\tReturns\n\t-------\n\thpbandster.core.result.Result: :object:\n\t\tTODO\n\t\n\t\"\"\"\n\tdata = {}\n\ttime_ref = float('inf')\n\tbudget_set = set()\n\t\n\twith open(os.path.join(directory, 'configs.json')) as fh:\n\t\tfor line in fh:\n\t\t\t\n\t\t\tline = json.loads(line)\n\t\t\t\n\t\t\tif len(line) == 3:\n\t\t\t\tconfig_id, config, config_info = line\n\t\t\tif len(line) == 2:\n\t\t\t\tconfig_id, config, = line\n\t\t\t\tconfig_info = 'N/A'\n\n\t\t\tdata[tuple(config_id)] = Datum(config=config, config_info=config_info)\n\n\twith open(os.path.join(directory, 'results.json')) as fh:\n\t\tfor line in fh:\n\t\t\tconfig_id, budget,time_stamps, result, exception = json.loads(line)\n\n\t\t\tid = tuple(config_id)\n\t\t\t\n\t\t\tdata[id].time_stamps[budget] = time_stamps\n\t\t\tdata[id].results[budget] = result\n\t\t\tdata[id].exceptions[budget] = exception\n\n\t\t\tbudget_set.add(budget)\n\t\t\ttime_ref = min(time_ref, time_stamps['submitted'])\n\n\n\t# infer the hyperband configuration from the data\n\tbudget_list = sorted(list(budget_set))\n\t\n\tHB_config = {\n\t\t\t\t\t\t'eta'        : None if len(budget_list) < 2 else budget_list[1]/budget_list[0],\n\t\t\t\t\t\t'min_budget' : min(budget_set),\n\t\t\t\t\t\t'max_budget' : max(budget_set),\n\t\t\t\t\t\t'budgets'    : budget_list,\n\t\t\t\t\t\t'max_SH_iter': len(budget_set),\n\t\t\t\t\t\t'time_ref'   : time_ref\n\t\t\t\t}\n\treturn(Result([data], HB_config))\n\n\nclass Result(object):\n\t\"\"\"\n\tObject returned by the HB_master.run function\n\n\tThis class offers a simple API to access the information from\n\ta Hyperband run.\n\t\"\"\"\n\tdef __init__ (self, HB_iteration_data, HB_config):\n\t\tself.data = HB_iteration_data\n\t\tself.HB_config = HB_config\n\t\tself._merge_results()\n\n\tdef __getitem__(self, k):\n\t\treturn(self.data[k])\n\n\n\tdef get_incumbent_id(self):\n\t\t\"\"\"\n\t\tFind the config_id of the incumbent.\n\n\t\tThe incumbent here is the configuration with the smallest loss\n\t\tamong all runs on the maximum budget! If no run finishes on the\n\t\tmaximum budget, None is returned!\n\t\t\"\"\"\n\t\ttmp_list = []\n\t\tfor k,v in self.data.items():\n\t\t\ttry:\n\t\t\t\t# only things run for the max budget are considered\n\t\t\t\tres = v.results[self.HB_config['max_budget']]\n\t\t\t\tif not res is None:\n\t\t\t\t\ttmp_list.append((res['loss'], k))\n\t\t\texcept KeyError as e:\n\t\t\t\tpass\n\t\t\texcept:\n\t\t\t\traise\n\n\t\tif len(tmp_list) > 0:\n\t\t\treturn(min(tmp_list)[1])\n\t\treturn(None)\n\n\n\n\tdef get_incumbent_trajectory(self, all_budgets=True, bigger_is_better=True, non_decreasing_budget=True):\n\t\t\"\"\"\n\t\tReturns the best configurations over time\n\t\t\n\t\t\n\t\tParameters\n\t\t----------\n\t\t\tall_budgets: bool\n\t\t\t\tIf set to true all runs (even those not with the largest budget) can be the incumbent.\n\t\t\t\tOtherwise, only full budget runs are considered\n\t\t\tbigger_is_better:bool\n\t\t\t\tflag whether an evaluation on a larger budget is always considered better.\n\t\t\t\tIf True, the incumbent might increase for the first evaluations on a bigger budget\n\t\t\tnon_decreasing_budget: bool\n\t\t\t\tflag whether the budget of a new incumbent should be at least as big as the one for\n\t\t\t\tthe current incumbent.\n\t\tReturns\n\t\t-------\n\t\t\tdict:\n\t\t\t\tdictionary with all the config IDs, the times the runs\n\t\t\t\tfinished, their respective budgets, and corresponding losses\n\t\t\"\"\"\n\t\tall_runs = self.get_all_runs(only_largest_budget = not all_budgets)\n\t\t\n\t\tif not all_budgets:\n\t\t\tall_runs = list(filter(lambda r: r.budget==res.HB_config['max_budget'], all_runs))\n\t\t\n\t\tall_runs.sort(key=lambda r: r.time_stamps['finished'])\n\t\t\n\t\treturn_dict = { 'config_ids' : [],\n\t\t\t\t\t\t'times_finished': [],\n\t\t\t\t\t\t'budgets'    : [],\n\t\t\t\t\t\t'losses'     : [],\n\t\t}\n\t\n\t\tcurrent_incumbent = float('inf')\n\t\tincumbent_budget = self.HB_config['min_budget']\n\t\t\n\t\tfor r in all_runs:\n\t\t\tif r.loss is None: continue\n\t\t\t\n\t\t\tnew_incumbent = False\n\t\t\t\n\t\t\tif bigger_is_better and r.budget > incumbent_budget:\n\t\t\t\tnew_incumbent = True\n\t\t\t\n\t\t\t\n\t\t\tif r.loss < current_incumbent:\n\t\t\t\tnew_incumbent = True\n\t\t\t\n\t\t\tif non_decreasing_budget and r.budget < incumbent_budget:\n\t\t\t\tnew_incumbent = False\n\t\t\t\n\t\t\tif new_incumbent:\n\t\t\t\tcurrent_incumbent = r.loss\n\t\t\t\tincumbent_budget  = r.budget\n\t\t\t\t\n\t\t\t\treturn_dict['config_ids'].append(r.config_id)\n\t\t\t\treturn_dict['times_finished'].append(r.time_stamps['finished'])\n\t\t\t\treturn_dict['budgets'].append(r.budget)\n\t\t\t\treturn_dict['losses'].append(r.loss)\n\n\t\tif current_incumbent != r.loss:\n\t\t\tr = all_runs[-1]\n\t\t\n\t\t\treturn_dict['config_ids'].append(return_dict['config_ids'][-1])\n\t\t\treturn_dict['times_finished'].append(r.time_stamps['finished'])\n\t\t\treturn_dict['budgets'].append(return_dict['budgets'][-1])\n\t\t\treturn_dict['losses'].append(return_dict['losses'][-1])\n\n\t\t\t\n\t\treturn (return_dict)\n\n\n\tdef get_runs_by_id(self, config_id):\n\t\t\"\"\"\n\t\treturns a list of runs for a given config id\n\n\t\tThe runs are sorted by ascending budget, so '-1' will give\n\t\tthe longest run for this config.\n\t\t\"\"\"\n\t\td = self.data[config_id]\n\n\t\truns = []\n\t\tfor b in d.results.keys():\n\t\t\ttry:\n\t\t\t\terr_logs = d.exceptions.get(b, None)\n\n\t\t\t\tif d.results[b] is None:\n\t\t\t\t\tr = Run(config_id, b, None, None , d.time_stamps[b], err_logs)\n\t\t\t\telse:\n\t\t\t\t\tr = Run(config_id, b, d.results[b]['loss'], d.results[b]['info'] , d.time_stamps[b], err_logs)\n\t\t\t\truns.append(r)\n\t\t\texcept:\n\t\t\t\traise\n\t\truns.sort(key=lambda r: r.budget)\n\t\treturn(runs)\n\n\n\tdef get_learning_curves(self, lc_extractor=extract_HBS_learning_curves, config_ids=None):\n\t\t\"\"\"\n\t\textracts all learning curves from all run configurations\n\n\t\tParameters\n\t\t----------\n\t\t\tlc_extractor: callable\n\t\t\t\ta function to return a list of learning_curves.\n\t\t\t\tdefaults to hpbanster.HB_result.extract_HP_learning_curves\n\t\t\tconfig_ids: list of valid config ids\n\t\t\t\tif only a subset of the config ids is wanted\n\n\t\tReturns\n\t\t-------\n\t\t\tdict\n\t\t\t\ta dictionary with the config_ids as keys and the\n\t\t\t\tlearning curves as values\n\t\t\"\"\"\n\n\t\tconfig_ids = self.data.keys() if config_ids is None else config_ids\n\t\t\n\t\tlc_dict = {}\n\t\t\n\t\tfor id in config_ids:\n\t\t\truns = self.get_runs_by_id(id)\n\t\t\tlc_dict[id] = lc_extractor(runs)\n\t\t\t\n\t\treturn(lc_dict)\n\n\n\tdef get_all_runs(self, only_largest_budget=False):\n\t\t\"\"\"\n\t\treturns all runs performed\n\n\t\tParameters\n\t\t----------\n\t\t\tonly_largest_budget: boolean\n\t\t\t\tif True, only the largest budget for each configuration\n\t\t\t\tis returned. This makes sense if the runs are continued\n\t\t\t\tacross budgets and the info field contains the information\n\t\t\t\tyou care about. If False, all runs of a configuration\n\t\t\t\tare returned\n\t\t\"\"\"\n\t\tall_runs = []\n\n\t\tfor k in self.data.keys():\n\t\t\truns = self.get_runs_by_id(k)\n\n\t\t\tif len(runs) > 0:\n\t\t\t\tif only_largest_budget:\n\t\t\t\t\tall_runs.append(runs[-1])\n\t\t\t\telse:\n\t\t\t\t\tall_runs.extend(runs)\n\n\t\treturn(all_runs)\n\n\tdef get_id2config_mapping(self):\n\t\t\"\"\"\n\t\treturns a dict where the keys are the config_ids and the values\n\t\tare the actual configurations\n\t\t\"\"\"\n\t\tnew_dict = {}\n\t\tfor k, v in self.data.items():\n\t\t\tnew_dict[k] = {}\n\t\t\tnew_dict[k]['config'] = copy.deepcopy(v.config)\n\t\t\ttry:\n\t\t\t\tnew_dict[k]['config_info'] = copy.deepcopy(v.config_info)\n\t\t\texcept:\n\t\t\t\tpass\n\t\treturn(new_dict)\n\n\tdef _merge_results(self):\n\t\t\"\"\"\n\t\thidden function to merge the list of results into one\n\t\tdictionary and 'normalize' the time stamps\n\t\t\"\"\"\n\t\tnew_dict = {}\n\t\tfor it in self.data:\n\t\t\tnew_dict.update(it)\n\n\t\tfor k,v in new_dict.items():\n\t\t\tfor kk, vv in v.time_stamps.items():\n\t\t\t\tfor kkk,vvv in vv.items():\n\t\t\t\t\tnew_dict[k].time_stamps[kk][kkk] = vvv - self.HB_config['time_ref']\n\n\t\tself.data = new_dict\n\n\tdef num_iterations(self):\n\t\treturn(max([k[0] for k in self.data.keys()]) + 1)\n\t\t\n\n\tdef get_fANOVA_data(self, config_space, budgets=None, loss_fn=lambda r: r.loss, failed_loss=None):\n\n\t\timport numpy as np\n\t\timport ConfigSpace as CS\n\n\t\tid2conf = self.get_id2config_mapping()\n\n\t\tif budgets is None:\n\t\t\tbudgets = self.HB_config['budgets']\n\n\t\tif len(budgets)>1:\n\t\t\tconfig_space.add_hyperparameter(CS.UniformFloatHyperparameter('budget', min(budgets), max(budgets), log=True))\n\t\t\n\t\thp_names = config_space.get_hyperparameter_names()\n\t\thps = config_space.get_hyperparameters()\n\t\tneeds_transform = list(map(lambda h: isinstance(h, CS.CategoricalHyperparameter), hps))\n\n\t\tall_runs = self.get_all_runs(only_largest_budget=False)\n\n\n\t\tall_runs=list(filter( lambda r: r.budget in budgets, all_runs))\n\n\t\tX = []\n\t\ty = []\n\n\t\tfor r in all_runs:\n\t\t\tif r.loss is None:\n\t\t\t\tif failed_loss is None: continue\n\t\t\t\telse: y.append(failed_loss)\n\t\t\telse:\n\t\t\t\ty.append(loss_fn(r))\n\t\t\t\t\n\t\t\tconfig = id2conf[r.config_id]['config']\n\t\t\tif len(budgets)>1:\n\t\t\t\tconfig['budget'] = r.budget\n\n\t\t\tconfig = CS.Configuration(config_space, config)\n\t\t\t\n\t\t\tx = []\n\t\t\tfor (name, hp, transform) in zip(hp_names, hps, needs_transform):\n\t\t\t\tif transform:\n\t\t\t\t\tx.append(hp._inverse_transform(config[name]))\n\t\t\t\telse:\n\t\t\t\t\tx.append(config[name])\n\t\t\t\n\t\t\tX.append(x)\n\n\t\treturn(np.array(X), np.array(y), config_space)\n\n\n\tdef get_pandas_dataframe(self, budgets=None, loss_fn=lambda r: r.loss):\n\n\t\timport numpy as np\n\t\timport pandas as pd\n\n\t\tid2conf = self.get_id2config_mapping()\n\n\t\tdf_x = pd.DataFrame()\n\t\tdf_y = pd.DataFrame()\n\n\n\t\tif budgets is None:\n\t\t\tbudgets = self.HB_config['budgets']\n\n\t\tall_runs = self.get_all_runs(only_largest_budget=False)\n\t\tall_runs=list(filter( lambda r: r.budget in budgets, all_runs))\n\n\n\n\t\tall_configs = []\n\t\tall_losses = []\n\n\t\tfor r in all_runs:\n\t\t\tif r.loss is None: continue\n\t\t\tconfig = id2conf[r.config_id]['config']\n\t\t\tif len(budgets)>1:\n\t\t\t\tconfig['budget'] = r.budget\n\n\t\t\tall_configs.append(config)\n\t\t\tall_losses.append({'loss': r.loss})\n\t\t\t\n\t\t\t#df_x = df_x.append(config, ignore_index=True)\n\t\t\t#df_y = df_y.append({'loss': r.loss}, ignore_index=True)\n\t\t\n\t\tdf_X = pd.DataFrame(all_configs)\n\t\tdf_y = pd.DataFrame(all_losses)\n\n\t\treturn(df_X, df_y)\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/core/worker.py",
    "content": "import time\nimport logging\nimport pickle\nimport os, socket\n\n\nimport traceback\nimport threading\nimport Pyro4\n\n\n\nclass Worker(object):\n\t\"\"\"\n\tThe worker is responsible for evaluating a single configuration on a single budget at a time.\n\tCommunication to the individual workers goes via the nameserver, management of the worker-pool and job\n\tscheduling is done by the Dispatcher and jobs are determined by the Master. In distributed systems, each\n\tcluster-node runs a Worker-instance. To implement your own worker, overwrite the `__init__`- and the `compute`-method.\n\tThe first allows to perform inital computations, e.g. loading the dataset, when the worker is started, while the\n\tlatter is repeatedly called during the optimization and evaluates a given configuration yielding the associated loss.\n\t\"\"\"\n\tdef __init__(self, run_id, nameserver=None, nameserver_port=None, logger=None, host=None, id=None, timeout=None):\n\t\t\"\"\"\n\t\t\n\t\tParameters\n\t\t----------\n\t\trun_id: anything with a __str__ method\n\t\t\tunique id to identify individual HpBandSter run\n\t\tnameserver: str\n\t\t\thostname or IP of the nameserver\n\t\tnameserver_port: int\n\t\t\tport of the nameserver\n\t\tlogger: logging.logger instance\n\t\t\tlogger used for debugging output\n\t\thost: str\n\t\t\thostname for this worker process\n\t\tid: anything with a __str__method\n\t\t\tif multiple workers are started in the same process, you MUST provide a unique id for each one of them using the `id` argument.\n\t\ttimeout: int or float\n\t\t\tspecifies the timeout a worker will wait for a new after finishing a computation before shutting down.\n\t\t\tTowards the end of a long run with multiple workers, this helps to shutdown idling workers. We recommend\n\t\t\ta timeout that is roughly half the time it would take for the second largest budget to finish.\n\t\t\tThe default (None) means that the worker will wait indefinitely and never shutdown on its own.\n\t\t\"\"\"\n\t\tself.run_id = run_id\n\t\tself.host = host\n\t\tself.nameserver = nameserver\n\t\tself.nameserver_port = nameserver_port\n\t\tself.worker_id =  \"hpbandster.run_%s.worker.%s.%i\"%(self.run_id, socket.gethostname(), os.getpid())\n\t\t\n\t\tself.timeout = timeout\n\t\tself.timer = None\n\t\t\n\t\t\n\t\tif not id is None:\n\t\t\tself.worker_id +='.%s'%str(id)\n\n\t\tself.thread=None\n\n\t\tif logger is None:\n\t\t\tlogging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(message)s',  datefmt='%H:%M:%S')\n\t\t\tself.logger = logging.getLogger(self.worker_id)\n\t\telse:\n\t\t\tself.logger = logger\n\n\t\tself.busy = False\n\t\tself.thread_cond = threading.Condition(threading.Lock())\n\n\n\tdef load_nameserver_credentials(self, working_directory, num_tries=60, interval=1):\n\t\t\"\"\"\n\t\tloads the nameserver credentials in cases where master and workers share a filesystem\n\n\t\tParameters\n\t\t----------\n\t\t\tworking_directory: str\n\t\t\t\tthe working directory for the HPB run (see master)\n\t\t\tnum_tries: int\n\t\t\t\tnumber of attempts to find the file (default 60)\n\t\t\tinterval: float\n\t\t\t\twaiting period between the attempts\n\t\t\"\"\"\n\t\tfn = os.path.join(working_directory, 'HPB_run_%s_pyro.pkl'%self.run_id)\n\t\t\n\t\tfor i in range(num_tries):\n\t\t\ttry:\n\t\t\t\twith open(fn, 'rb') as fh:\n\t\t\t\t\tself.nameserver, self.nameserver_port = pickle.load(fh)\n\t\t\t\treturn\n\t\t\texcept FileNotFoundError:\n\t\t\t\tself.logger.warning('config file %s not found (trail %i/%i)'%(fn, i+1, num_tries))\n\t\t\t\ttime.sleep(interval)\n\t\t\texcept:\n\t\t\t\traise\n\t\traise RuntimeError(\"Could not find the nameserver information, aborting!\")\n\n\n\tdef run(self, background=False):\n\t\t\"\"\"\n\t\tMethod to start the worker.\n\t\t\n\t\tParameters\n\t\t----------\n\t\t\tbackground: bool\n\t\t\t\tIf set to False (Default). the worker is executed in the current thread.\n\t\t\t\tIf True, a new daemon thread is created that runs the worker. This is\n\t\t\t\tuseful in a single worker scenario/when the compute function only simulates\n\t\t\t\twork.\n\t\t\"\"\"\n\t\tif background:\n\t\t\tself.worker_id += str(threading.get_ident())\n\t\t\tself.thread = threading.Thread(target=self._run, name='worker %s thread'%self.worker_id)\n\t\t\tself.thread.daemon=True\n\t\t\tself.thread.start()\n\t\telse:\n\t\t\tself._run()\n\n\tdef _run(self):\n\t\t# initial ping to the dispatcher to register the worker\n\t\t\n\t\ttry:\n\t\t\twith Pyro4.locateNS(host=self.nameserver, port=self.nameserver_port) as ns:\n\t\t\t\tself.logger.debug('WORKER: Connected to nameserver %s'%(str(ns)))\n\t\t\t\tdispatchers = ns.list(prefix=\"hpbandster.run_%s.dispatcher\"%self.run_id)\n\t\texcept Pyro4.errors.NamingError:\n\t\t\tif self.thread is None:\n\t\t\t\traise RuntimeError('No nameserver found. Make sure the nameserver is running at that the host (%s) and port (%s) are correct'%(self.nameserver, self.nameserver_port))\n\t\t\telse:\n\t\t\t\tself.logger.error('No nameserver found. Make sure the nameserver is running at that the host (%s) and port (%s) are correct'%(self.nameserver, self.nameserver_port))\n\t\t\t\texit(1)\n\t\texcept:\n\t\t\traise\n\t\t\t\n\t\t\t\n\t\tfor dn, uri in dispatchers.items():\n\t\t\ttry:\n\t\t\t\tself.logger.debug('WORKER: found dispatcher %s'%dn)\n\t\t\t\twith Pyro4.Proxy(uri) as dispatcher_proxy:\n\t\t\t\t\tdispatcher_proxy.trigger_discover_worker()\n\n\t\t\texcept Pyro4.errors.CommunicationError:\n\t\t\t\tself.logger.debug('WORKER: Dispatcher did not respond. Waiting for one to initiate contact.')\n\t\t\t\tpass\n\t\t\texcept:\n\t\t\t\traise\n\n\t\tif len(dispatchers) == 0:\n\t\t\tself.logger.debug('WORKER: No dispatcher found. Waiting for one to initiate contact.')\n\n\t\tself.logger.info('WORKER: start listening for jobs')\n\n\t\tself.pyro_daemon = Pyro4.core.Daemon(host=self.host)\n\n\t\twith Pyro4.locateNS(self.nameserver, port=self.nameserver_port) as ns:\n\t\t\turi = self.pyro_daemon.register(self, self.worker_id)\n\t\t\tns.register(self.worker_id, uri)\n\t\t\n\t\tself.pyro_daemon.requestLoop()\n\n\t\twith Pyro4.locateNS(self.nameserver, port=self.nameserver_port) as ns:\n\t\t\tns.remove(self.worker_id)\n\t\t\n\t\t\n\n\tdef compute(self, config_id, config, budget, working_directory):\n\t\t\"\"\" The function you have to overload implementing your computation.\n\t\t\n\t\tParameters\n\t\t----------\n\t\tconfig_id: tuple\n\t\t\ta triplet of ints that uniquely identifies a configuration. the convention is\n\t\t\tid = (iteration, budget index, running index) with the following meaning:\n\t\t\t- iteration: the iteration of the optimization algorithms. E.g, for Hyperband that is one round of Successive Halving\n\t\t\t- budget index: the budget (of the current iteration) for which this configuration was sampled by the optimizer. This is only nonzero if the majority of the runs fail and Hyperband resamples to fill empty slots, or you use a more 'advanced' optimizer.\n\t\t\t- running index: this is simply an int >= 0 that sort the configs into the order they where sampled, i.e. (x,x,0) was sampled before (x,x,1).\n\t\tconfig: dict\n\t\t\tthe actual configuration to be evaluated.\n\t\tbudget: float\n\t\t\tthe budget for the evaluation\n\t\tworking_directory: str\n\t\t\ta name of a directory that is unique to this configuration. Use this to store intermediate results on lower budgets that can be reused later for a larger budget (for iterative algorithms, for example).\n\t\tReturns\n\t\t-------\n\t\tdict:\n\t\t\tneeds to return a dictionary with two mandatory entries:\n\t\t\t\t- 'loss': a numerical value that is MINIMIZED\n\t\t\t\t- 'info': This can be pretty much any build in python type, e.g. a dict with lists as value. Due to Pyro4 handling the remote function calls, 3rd party types like numpy arrays are not supported!\n\t\t\"\"\"\n\t\t\n\t\traise NotImplementedError(\"Subclass hpbandster.distributed.worker and overwrite the compute method in your worker script\")\n\n\t@Pyro4.expose\n\t@Pyro4.oneway\n\tdef start_computation(self, callback, id, *args, **kwargs):\n\n\t\twith self.thread_cond:\n\t\t\twhile self.busy:\n\t\t\t\tself.thread_cond.wait()\n\t\t\tself.busy = True\n\t\tif not self.timeout is None and not self.timer is None:\n\t\t\tself.timer.cancel()\n\t\tself.logger.info('WORKER: start processing job %s'%str(id))\n\t\tself.logger.debug('WORKER: args: %s'%(str(args)))\n\t\tself.logger.debug('WORKER: kwargs: %s'%(str(kwargs)))\n\t\ttry:\n\t\t\tresult = {'result': self.compute(*args, config_id=id, **kwargs),\n\t\t\t\t\t\t'exception' : None}\n\t\texcept Exception as e:\n\t\t\tresult = {'result': None,\n\t\t\t\t\t\t'exception' : traceback.format_exc()}\n\t\tfinally:\n\t\t\tself.logger.debug('WORKER: done with job %s, trying to register it.'%str(id))\n\t\t\twith self.thread_cond:\n\t\t\t\tself.busy =  False\n\t\t\t\tcallback.register_result(id, result)\n\t\t\t\tself.thread_cond.notify()\n\t\tself.logger.info('WORKER: registered result for job %s with dispatcher'%str(id))\n\t\tif not self.timeout is None:\n\t\t\tself.timer = threading.Timer(self.timeout, self.shutdown)\n\t\t\tself.timer.daemon=True\n\t\t\tself.timer.start()\n\t\treturn(result)\n\n\t@Pyro4.expose\t\n\tdef is_busy(self):\n\t\treturn(self.busy)\n\t\n\t@Pyro4.expose\n\t@Pyro4.oneway\n\tdef shutdown(self):\n\t\tself.logger.debug('WORKER: shutting down now!')\n\t\tself.pyro_daemon.shutdown()\n\t\tif not self.thread is None:\n\t\t\tself.thread.join()\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/README.txt",
    "content": "Examples - How to use HpBandSter\n================================\n\nThis is a collection of examples of how to use the HpBandster Module.\n\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/__init__.py",
    "content": "\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/commons.py",
    "content": "\"\"\"\nWorker for Examples 1-4\n=======================\n\nThis class implements a very simple worker used in the firt examples.\n\"\"\"\n\nimport numpy\nimport time\n\nimport ConfigSpace as CS\nfrom hpbandster.core.worker import Worker\n\n\nclass MyWorker(Worker):\n\n    def __init__(self, *args, sleep_interval=0, **kwargs):\n        super().__init__(*args, **kwargs)\n\n        self.sleep_interval = sleep_interval\n\n    def compute(self, config, budget, **kwargs):\n        \"\"\"\n        Simple example for a compute function\n        The loss is just a the config + some noise (that decreases with the budget)\n\n        For dramatization, the function can sleep for a given interval to emphasizes\n        the speed ups achievable with parallel workers.\n\n        Args:\n            config: dictionary containing the sampled configurations by the optimizer\n            budget: (float) amount of time/epochs/etc. the model can use to train\n\n        Returns:\n            dictionary with mandatory fields:\n                'loss' (scalar)\n                'info' (dict)\n        \"\"\"\n\n        res = numpy.clip(config['x'] + numpy.random.randn()/budget, config['x']/2, 1.5*config['x'])\n        time.sleep(self.sleep_interval)\n\n        return({\n                    'loss': float(res),  # this is the a mandatory field to run hyperband\n                    'info': res  # can be used for any user-defined information - also mandatory\n                })\n    \n    @staticmethod\n    def get_configspace():\n        config_space = CS.ConfigurationSpace()\n        config_space.add_hyperparameter(CS.UniformFloatHyperparameter('x', lower=0, upper=1))\n        return(config_space)\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_1_local_sequential.py",
    "content": "\"\"\"\nExample 1 - Local and Sequential\n================================\n\n\"\"\"\nimport logging\nlogging.basicConfig(level=logging.WARNING)\n\nimport argparse\n\nimport hpbandster.core.nameserver as hpns\nimport hpbandster.core.result as hpres\n\nfrom hpbandster.optimizers import BOHB as BOHB\nfrom hpbandster.examples.commons import MyWorker\n\n\n\nparser = argparse.ArgumentParser(description='Example 1 - sequential and local execution.')\nparser.add_argument('--min_budget',   type=float, help='Minimum budget used during the optimization.',    default=9)\nparser.add_argument('--max_budget',   type=float, help='Maximum budget used during the optimization.',    default=243)\nparser.add_argument('--n_iterations', type=int,   help='Number of iterations performed by the optimizer', default=4)\nargs=parser.parse_args()\n\n\n# Step 1: Start a nameserver\n# Every run needs a nameserver. It could be a 'static' server with a\n# permanent address, but here it will be started for the local machine with the default port.\n# The nameserver manages the concurrent running workers across all possible threads or clusternodes.\n# Note the run_id argument. This uniquely identifies a run of any HpBandSter optimizer.\nNS = hpns.NameServer(run_id='example1', host='127.0.0.1', port=None)\nNS.start()\n\n# Step 2: Start a worker\n# Now we can instantiate a worker, providing the mandatory information\n# Besides the sleep_interval, we need to define the nameserver information and\n# the same run_id as above. After that, we can start the worker in the background,\n# where it will wait for incoming configurations to evaluate.\nw = MyWorker(sleep_interval = 0, nameserver='127.0.0.1',run_id='example1')\nw.run(background=True)\n\n# Step 3: Run an optimizer\n# Now we can create an optimizer object and start the run.\n# Here, we run BOHB, but that is not essential.\n# The run method will return the `Result` that contains all runs performed.\nbohb = BOHB(  configspace = w.get_configspace(),\n              run_id = 'example1', nameserver='127.0.0.1',\n              min_budget=args.min_budget, max_budget=args.max_budget\n           )\nres = bohb.run(n_iterations=args.n_iterations)\n\n# Step 4: Shutdown\n# After the optimizer run, we must shutdown the master and the nameserver.\nbohb.shutdown(shutdown_workers=True)\nNS.shutdown()\n\n# Step 5: Analysis\n# Each optimizer returns a hpbandster.core.result.Result object.\n# It holds informations about the optimization run like the incumbent (=best) configuration.\n# For further details about the Result object, see its documentation.\n# Here we simply print out the best config and some statistics about the performed runs.\nid2config = res.get_id2config_mapping()\nincumbent = res.get_incumbent_id()\n\nprint('Best found configuration:', id2config[incumbent]['config'])\nprint('A total of %i unique configurations where sampled.' % len(id2config.keys()))\nprint('A total of %i runs where executed.' % len(res.get_all_runs()))\nprint('Total budget corresponds to %.1f full function evaluations.'%(sum([r.budget for r in res.get_all_runs()])/args.max_budget))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_2_local_parallel_threads.py",
    "content": "\"\"\"\nExample 2 - Local and Parallel (using threads)\n==============================================\n\nThis example extends example 1 to multiple parallel workers.\nFor demonstrational purposes, the workers are started in separate threads.\nThis is probably not the most common use case but serves as a nice example.\nThe setup can be useful if the workers do their computations outside Python's Global Interpreter Lock, e.g. in some 3rd party extension in C/C++.\nIn that case, all workers can truely work in parallel.\n\n\"\"\"\nimport logging\nlogging.basicConfig(level=logging.WARNING)\n\nimport argparse\n\nimport hpbandster.core.nameserver as hpns\nimport hpbandster.core.result as hpres\n\nfrom hpbandster.optimizers import BOHB as BOHB\nfrom hpbandster.examples.commons import MyWorker\n\n\n\nparser = argparse.ArgumentParser(description='Example 1 - sequential and local execution.')\nparser.add_argument('--min_budget',   type=float, help='Minimum budget used during the optimization.',    default=9)\nparser.add_argument('--max_budget',   type=float, help='Maximum budget used during the optimization.',    default=243)\nparser.add_argument('--n_iterations', type=int,   help='Number of iterations performed by the optimizer', default=4)\nparser.add_argument('--n_workers', type=int,   help='Number of workers to run in parallel.', default=2)\n\nargs=parser.parse_args()\n\n\n# Step 1: Start a nameserver (see example_1)\nNS = hpns.NameServer(run_id='example2', host='127.0.0.1', port=None)\nNS.start()\n\n# Step 2: Start the workers\n# Now we can instantiate the specified number of workers. To emphasize the effect,\n# we introduce a sleep_interval of one second, which makes every function evaluation\n# take a bit of time. Note the additional id argument that helps separating the\n# individual workers. This is necessary because every worker uses its processes\n# ID which is the same for all threads here.\nworkers=[]\nfor i in range(args.n_workers):\n\tw = MyWorker(sleep_interval = 0.5, nameserver='127.0.0.1',run_id='example2', id=i)\n\tw.run(background=True)\n\tworkers.append(w)\n\n# Step 3: Run an optimizer\n# Now we can create an optimizer object and start the run.\n# We add the min_n_workers argument to the run methods to make the optimizer wait\n# for all workers to start. This is not mandatory, and workers can be added\n# at any time, but if the timing of the run is essential, this can be used to\n# synchronize all workers right at the start.\nbohb = BOHB(  configspace = w.get_configspace(),\n              run_id = 'example2',\n              min_budget=args.min_budget, max_budget=args.max_budget\n           )\nres = bohb.run(n_iterations=args.n_iterations, min_n_workers=args.n_workers)\n\n# Step 4: Shutdown\n# After the optimizer run, we must shutdown the master and the nameserver.\nbohb.shutdown(shutdown_workers=True)\nNS.shutdown()\n\n# Step 5: Analysis\n# Each optimizer returns a hpbandster.core.result.Result object.\n# It holds informations about the optimization run like the incumbent (=best) configuration.\n# For further details about the Result object, see its documentation.\n# Here we simply print out the best config and some statistics about the performed runs.\nid2config = res.get_id2config_mapping()\nincumbent = res.get_incumbent_id()\n\nall_runs = res.get_all_runs()\n\nprint('Best found configuration:', id2config[incumbent]['config'])\nprint('A total of %i unique configurations where sampled.' % len(id2config.keys()))\nprint('A total of %i runs where executed.' % len(res.get_all_runs()))\nprint('Total budget corresponds to %.1f full function evaluations.'%(sum([r.budget for r in all_runs])/args.max_budget))\nprint('Total budget corresponds to %.1f full function evaluations.'%(sum([r.budget for r in all_runs])/args.max_budget))\nprint('The run took  %.1f seconds to complete.'%(all_runs[-1].time_stamps['finished'] - all_runs[0].time_stamps['started']))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_3_local_parallel_processes.py",
    "content": "\"\"\"\nExample 3 - Local and Parallel (using processes)\n================================================\n\nGetting closer to a distributed setup, this examples shows how to connect a nameserver, an optimizer and several workers running in different processes.\nThis would also allow true parallelism if the workers do all the computation in Python, such that the thread based paralelization of example 2 would not work.\n\n\"\"\"\nimport logging\nlogging.basicConfig(level=logging.INFO)\n\nimport argparse\n\nimport hpbandster.core.nameserver as hpns\nimport hpbandster.core.result as hpres\n\nfrom hpbandster.optimizers import BOHB as BOHB\nfrom hpbandster.examples.commons import MyWorker\n\n\n\nparser = argparse.ArgumentParser(description='Example 3 - Local and Parallel Execution.')\nparser.add_argument('--min_budget',   type=float, help='Minimum budget used during the optimization.',    default=9)\nparser.add_argument('--max_budget',   type=float, help='Maximum budget used during the optimization.',    default=243)\nparser.add_argument('--n_iterations', type=int,   help='Number of iterations performed by the optimizer', default=4)\nparser.add_argument('--n_workers', type=int,   help='Number of workers to run in parallel.', default=2)\nparser.add_argument('--worker', help='Flag to turn this into a worker process', action='store_true')\n\nargs=parser.parse_args()\n\n\n\nif args.worker:\n\tw = MyWorker(sleep_interval = 0.5, nameserver='127.0.0.1',run_id='example3')\n\tw.run(background=False)\n\texit(0)\n\n# Start a nameserver (see example_1)\nNS = hpns.NameServer(run_id='example3', host='127.0.0.1', port=None)\nNS.start()\n\n\n# Run an optimizer (see example_2)\nbohb = BOHB(  configspace = MyWorker.get_configspace(),\n\t\t\t  run_id = 'example3',\n\t\t\t  min_budget=args.min_budget, max_budget=args.max_budget\n\t\t   )\nres = bohb.run(n_iterations=args.n_iterations, min_n_workers=args.n_workers)\n\n# Step 4: Shutdown\n# After the optimizer run, we must shutdown the master and the nameserver.\nbohb.shutdown(shutdown_workers=True)\nNS.shutdown()\n\n# Step 5: Analysis\n# Each optimizer returns a hpbandster.core.result.Result object.\n# It holds informations about the optimization run like the incumbent (=best) configuration.\n# For further details about the Result object, see its documentation.\n# Here we simply print out the best config and some statistics about the performed runs.\nid2config = res.get_id2config_mapping()\nincumbent = res.get_incumbent_id()\n\nall_runs = res.get_all_runs()\n\nprint('Best found configuration:', id2config[incumbent]['config'])\nprint('A total of %i unique configurations where sampled.' % len(id2config.keys()))\nprint('A total of %i runs where executed.' % len(res.get_all_runs()))\nprint('Total budget corresponds to %.1f full function evaluations.'%(sum([r.budget for r in all_runs])/args.max_budget))\nprint('Total budget corresponds to %.1f full function evaluations.'%(sum([r.budget for r in all_runs])/args.max_budget))\nprint('The run took  %.1f seconds to complete.'%(all_runs[-1].time_stamps['finished'] - all_runs[0].time_stamps['started']))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_4_cluster.py",
    "content": "\"\"\"\nExample 4 - on the cluster\n==========================\n\nThis example shows how to run HpBandster in a cluster environment.\nThe actual python code does differ substantially from example 3, except for a\nshared directory that is used to communicate the location of the nameserver to\nevery worker, and the fact that the communication is done over the network instead\nof just the loop back interface.\n\n\nTo actually run it as a batch job, usually a shell script is required.\nThose differer slightly from scheduler to scheduler.\nHere we provide an example script for the Sun Grid Engine (SGE), but adapting that to\nany other scheduler should be easy.\nThe script simply specifies the logging files for output (`-o`) and error `-e`),\nloads a virtual environment, and then executes the master for the first array task\nand a worker otherwise.\nArray jobs execute the same source multiple times and are bundled together into one job,\nwhere each task gets a unique task ID.\nFor SGE those IDs are positive integers and we simply say the first task is the master.\n\n\n.. code-block:: bash\n\n   # submit via qsub -t 1-4 -q test_core.q example_4_cluster_submit_me.sh\n\n   #$ -cwd\n   #$ -o $JOB_ID-$TASK_ID.o\n   #$ -e $JOB_ID-$TASK_ID.e\n\n   # enter the virtual environment\n   source ~sfalkner/virtualenvs/HpBandSter_tests/bin/activate\n\n\n   if [ $SGE_TASK_ID -eq 1]\n      then python3 example_4_cluster.py --run_id $JOB_ID --nic_name eth0 --working_dir .\n   else \n      python3 example_4_cluster.py --run_id $JOB_ID --nic_name eth0  --working_dir . --worker\n   fi\n\nYou can simply copy the above code into a file, say submit_me.sh, and tell SGE to run it via:\n\n.. code-block:: bash\n\n   qsub -t 1-4 -q your_queue_name submit_me.sh\n\n\nNow to the actual python source:\n\"\"\"\nimport logging\nlogging.basicConfig(level=logging.INFO)\n\nimport argparse\nimport pickle\nimport time\n\nimport hpbandster.core.nameserver as hpns\nimport hpbandster.core.result as hpres\n\nfrom hpbandster.optimizers import BOHB as BOHB\nfrom hpbandster.examples.commons import MyWorker\n\n\n\nparser = argparse.ArgumentParser(description='Example 1 - sequential and local execution.')\nparser.add_argument('--min_budget',   type=float, help='Minimum budget used during the optimization.',    default=9)\nparser.add_argument('--max_budget',   type=float, help='Maximum budget used during the optimization.',    default=243)\nparser.add_argument('--n_iterations', type=int,   help='Number of iterations performed by the optimizer', default=4)\nparser.add_argument('--n_workers', type=int,   help='Number of workers to run in parallel.', default=2)\nparser.add_argument('--worker', help='Flag to turn this into a worker process', action='store_true')\nparser.add_argument('--run_id', type=str, help='A unique run id for this optimization run. An easy option is to use the job id of the clusters scheduler.')\nparser.add_argument('--nic_name',type=str, help='Which network interface to use for communication.')\nparser.add_argument('--shared_directory',type=str, help='A directory that is accessible for all processes, e.g. a NFS share.')\n\n\nargs=parser.parse_args()\n\n# Every process has to lookup the hostname\nhost = hpns.nic_name_to_host(args.nic_name)\n\n\nif args.worker:\n\ttime.sleep(5)\t# short artificial delay to make sure the nameserver is already running\n\tw = MyWorker(sleep_interval = 0.5,run_id=args.run_id, host=host)\n\tw.load_nameserver_credentials(working_directory=args.shared_directory)\n\tw.run(background=False)\n\texit(0)\n\n# Start a nameserver:\n# We now start the nameserver with the host name from above and a random open port (by setting the port to 0)\nNS = hpns.NameServer(run_id=args.run_id, host=host, port=0, working_directory=args.shared_directory)\nns_host, ns_port = NS.start()\n\n# Most optimizers are so computationally inexpensive that we can affort to run a\n# worker in parallel to it. Note that this one has to run in the background to\n# not plock!\nw = MyWorker(sleep_interval = 0.5,run_id=args.run_id, host=host, nameserver=ns_host, nameserver_port=ns_port)\nw.run(background=True)\n\n# Run an optimizer\n# We now have to specify the host, and the nameserver information\nbohb = BOHB(  configspace = MyWorker.get_configspace(),\n\t\t\t  run_id = args.run_id,\n\t\t\t  host=host,\n\t\t\t  nameserver=ns_host,\n\t\t\t  nameserver_port=ns_port,\n\t\t\t  min_budget=args.min_budget, max_budget=args.max_budget\n\t\t   )\nres = bohb.run(n_iterations=args.n_iterations, min_n_workers=args.n_workers)\n\n\n# In a cluster environment, you usually want to store the results for later analysis.\n# One option is to simply pickle the Result object \nwith open(os.path.join(args.shared_directory, 'results.pkl'), 'wb') as fh:\n\tpickle.dump(res, fh)\n\n\n# Step 4: Shutdown\n# After the optimizer run, we must shutdown the master and the nameserver.\nbohb.shutdown(shutdown_workers=True)\nNS.shutdown()\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_5_keras_worker.py",
    "content": "\"\"\"\nWorker for Example 5 - Keras\n============================\n\nIn this example implements a small CNN in Keras to train it on MNIST.\nThe configuration space shows the most common types of hyperparameters and\neven contains conditional dependencies.\n\nWe'll optimise the following hyperparameters:\n\n+-------------------------+----------------+-----------------+------------------------+\n| Parameter Name          | Parameter type |  Range/Choices  | Comment                |\n+=========================+================+=================+========================+\n| Learning rate           |  float         | [1e-6, 1e-2]    | varied logarithmically |\n+-------------------------+----------------+-----------------+------------------------+\n| Optimizer               | categorical    | {Adam, SGD }    | discrete choice        |\n+-------------------------+----------------+-----------------+------------------------+\n| SGD momentum            |  float         | [0, 0.99]       | only active if         |\n|                         |                |                 | optimizer == SGD       |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of conv layers   | integer        | [1,3]           | can only take integer  |\n|                         |                |                 | values 1, 2, or 3      |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of filters in    | integer        | [4, 64]         | logarithmically varied |\n| the first conf layer    |                |                 | integer values         |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of filters in    | integer        | [4, 64]         | only active if number  |\n| the second conf layer   |                |                 | of layers >= 2         |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of filters in    | integer        | [4, 64]         | only active if number  |\n| the third conf layer    |                |                 | of layers == 3         |\n+-------------------------+----------------+-----------------+------------------------+\n| Dropout rate            |  float         | [0, 0.9]        | standard continuous    |\n|                         |                |                 | parameter              |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of hidden units  | integer        | [8,256]         | logarithmically varied |\n| in fully connected layer|                |                 | integer values         |\n+-------------------------+----------------+-----------------+------------------------+\n\nPlease refer to the compute method below to see how those are defined using the\nConfigSpace package.\n\t  \nThe network does not achieve stellar performance when a random configuration is samples,\nbut a few iterations should yield an accuracy of >90%. To speed up training, only\n8192 images are used for training, 1024 for validation.\nThe purpose is not to achieve state of the art on MNIST, but to show how to use\nKeras inside HpBandSter, and to demonstrate a more complicated search space.\n\"\"\"\n\ntry:\n\timport keras\n\tfrom keras.datasets import mnist\n\tfrom keras.models import Sequential\n\tfrom keras.layers import Dense, Dropout, Flatten\n\tfrom keras.layers import Conv2D, MaxPooling2D\n\tfrom keras import backend as K\nexcept:\n\traise ImportError(\"For this example you need to install keras.\")\n\ntry:\n\timport torchvision\n\timport torchvision.transforms as transforms\nexcept:\n\traise ImportError(\"For this example you need to install pytorch-vision.\")\n\n\n\nimport ConfigSpace as CS\nimport ConfigSpace.hyperparameters as CSH\n\nfrom hpbandster.core.worker import Worker\n\nimport logging\nlogging.basicConfig(level=logging.DEBUG)\n\n\n\n\n\nclass KerasWorker(Worker):\n\tdef __init__(self, N_train=8192, N_valid=1024, **kwargs):\n\t\tsuper().__init__(**kwargs)\n\n\t\tself.batch_size = 64\n\t\t\n\t\timg_rows = 28\n\t\timg_cols = 28\n\t\tself.num_classes = 10\n\t\t\n\t\t# the data, split between train and test sets\n\t\t(x_train, y_train), (x_test, y_test) = mnist.load_data()\n\n\t\tif K.image_data_format() == 'channels_first':\n\t\t\tx_train = x_train.reshape(x_train.shape[0], 1, img_rows, img_cols)\n\t\t\tx_test = x_test.reshape(x_test.shape[0], 1, img_rows, img_cols)\n\t\t\tself.input_shape = (1, img_rows, img_cols)\n\t\telse:\n\t\t\tx_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n\t\t\tx_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n\t\t\tself.input_shape = (img_rows, img_cols, 1)\n\n\t\t\n\t\tx_train = x_train.astype('float32')\n\t\tx_test = x_test.astype('float32')\n\t\t# zero-one normalization\n\t\tx_train /= 255\n\t\tx_test /= 255\n\t\t\n\t\t\n\t\t# convert class vectors to binary class matrices\n\t\ty_train = keras.utils.to_categorical(y_train, self.num_classes)\n\t\ty_test = keras.utils.to_categorical(y_test, self.num_classes)\n\t\t\n\t\t\n\t\tself.x_train, self.y_train = x_train[:N_train], y_train[:N_train]\n\t\tself.x_validation, self.y_validation = x_train[-N_valid:], y_train[-N_valid:]\n\t\tself.x_test, self.y_test   = x_test, y_test\n\t\t\n\t\tself.input_shape = (img_rows, img_cols, 1)\n\n\n\n\n\tdef compute(self, config, budget, working_directory, *args, **kwargs):\n\t\t\"\"\"\n\t\tSimple example for a compute function using a feed forward network.\n\t\tIt is trained on the MNIST dataset.\n\t\tThe input parameter \"config\" (dictionary) contains the sampled configurations passed by the bohb optimizer\n\t\t\"\"\"\n\n\t\tmodel = Sequential()\n\t\t\n\t\tmodel.add(Conv2D(config['num_filters_1'], kernel_size=(3,3),\n\t\t\t\t\t\t activation='relu',\n\t\t\t\t\t\t input_shape=self.input_shape))\n\t\tmodel.add(MaxPooling2D(pool_size=(2, 2)))\n\n\t\tif config['num_conv_layers'] > 1:\n\t\t\tmodel.add(Conv2D(config['num_filters_2'], kernel_size=(3, 3),\n\t\t\t\t\t\t\t activation='relu',\n\t\t\t\t\t\t\t input_shape=self.input_shape))\n\t\t\tmodel.add(MaxPooling2D(pool_size=(2, 2)))\t\n\t\t\n\t\tif config['num_conv_layers'] > 2:\n\t\t\tmodel.add(Conv2D(config['num_filters_3'], kernel_size=(3, 3),\n\t\t\t\t\t\t activation='relu',\n\t\t\t\t\t\t input_shape=self.input_shape))\n\t\t\tmodel.add(MaxPooling2D(pool_size=(2, 2)))\n\t\t\t\n\t\tmodel.add(Dropout(config['dropout_rate']))\n\t\tmodel.add(Flatten())\n\t\tmodel.add(Dense(config['num_fc_units'], activation='relu'))\n\t\tmodel.add(Dropout(config['dropout_rate']))\n\t\tmodel.add(Dense(self.num_classes, activation='softmax'))\n\n\n\t\tif config['optimizer'] == 'Adam':\n\t\t\toptimizer = keras.optimizers.Adam(lr=config['lr'])\n\t\telse:\n\t\t\toptimizer = keras.optimizers.SGD(lr=config['lr'], momentum=config['sgd_momentum'])\n\n\t\tmodel.compile(loss=keras.losses.categorical_crossentropy,\n\t\t\t\t\t  optimizer=optimizer,\n\t\t\t\t\t  metrics=['accuracy'])\n\n\t\tmodel.fit(self.x_train, self.y_train,\n\t\t\t\t  batch_size=self.batch_size,\n\t\t\t\t  epochs=int(budget),\n\t\t\t\t  verbose=0,\n\t\t\t\t  validation_data=(self.x_test, self.y_test))\n\t\t\n\t\ttrain_score = model.evaluate(self.x_train, self.y_train, verbose=0)\n\t\tval_score = model.evaluate(self.x_validation, self.y_validation, verbose=0)\n\t\ttest_score = model.evaluate(self.x_test, self.y_test, verbose=0)\n\n\t\t#import IPython; IPython.embed()\n\t\treturn ({\n\t\t\t'loss': 1-val_score[1], # remember: HpBandSter always minimizes!\n\t\t\t'info': {\t'test accuracy': test_score[1],\n\t\t\t\t\t\t'train accuracy': train_score[1],\n\t\t\t\t\t\t'validation accuracy': val_score[1],\n\t\t\t\t\t\t'number of parameters': model.count_params(),\n\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t})\n\n\n\t@staticmethod\n\tdef get_configspace():\n\t\t\"\"\"\n\t\tIt builds the configuration space with the needed hyperparameters.\n\t\tIt is easily possible to implement different types of hyperparameters.\n\t\tBeside float-hyperparameters on a log scale, it is also able to handle categorical input parameter.\n\t\t:return: ConfigurationsSpace-Object\n\t\t\"\"\"\n\t\tcs = CS.ConfigurationSpace()\n\n\t\tlr = CSH.UniformFloatHyperparameter('lr', lower=1e-6, upper=1e-1, default_value='1e-2', log=True)\n\n\t\t# For demonstration purposes, we add different optimizers as categorical hyperparameters.\n\t\t# To show how to use conditional hyperparameters with ConfigSpace, we'll add the optimizers 'Adam' and 'SGD'.\n\t\t# SGD has a different parameter 'momentum'.\n\t\toptimizer = CSH.CategoricalHyperparameter('optimizer', ['Adam', 'SGD'])\n\n\t\tsgd_momentum = CSH.UniformFloatHyperparameter('sgd_momentum', lower=0.0, upper=0.99, default_value=0.9, log=False)\n\n\t\tcs.add_hyperparameters([lr, optimizer, sgd_momentum])\n\n\n\n\t\tnum_conv_layers =  CSH.UniformIntegerHyperparameter('num_conv_layers', lower=1, upper=3, default_value=2)\n\t\t\n\t\tnum_filters_1 = CSH.UniformIntegerHyperparameter('num_filters_1', lower=4, upper=64, default_value=16, log=True)\n\t\tnum_filters_2 = CSH.UniformIntegerHyperparameter('num_filters_2', lower=4, upper=64, default_value=16, log=True)\n\t\tnum_filters_3 = CSH.UniformIntegerHyperparameter('num_filters_3', lower=4, upper=64, default_value=16, log=True)\n\n\t\tcs.add_hyperparameters([num_conv_layers, num_filters_1, num_filters_2, num_filters_3])\n\n\n\t\tdropout_rate = CSH.UniformFloatHyperparameter('dropout_rate', lower=0.0, upper=0.9, default_value=0.5, log=False)\n\t\tnum_fc_units = CSH.UniformIntegerHyperparameter('num_fc_units', lower=8, upper=256, default_value=32, log=True)\n\n\t\tcs.add_hyperparameters([dropout_rate, num_fc_units])\n\n\n\t\t# The hyperparameter sgd_momentum will be used,if the configuration\n\t\t# contains 'SGD' as optimizer.\n\t\tcond = CS.EqualsCondition(sgd_momentum, optimizer, 'SGD')\n\t\tcs.add_condition(cond)\n\t\t\n\t\t# You can also use inequality conditions:\n\t\tcond = CS.GreaterThanCondition(num_filters_2, num_conv_layers, 1)\n\t\tcs.add_condition(cond)\n\n\t\tcond = CS.GreaterThanCondition(num_filters_3, num_conv_layers, 2)\n\t\tcs.add_condition(cond)\n\n\t\treturn cs\n\n\n\n\nif __name__ == \"__main__\":\n\tworker = KerasWorker(run_id='0')\n\tcs = worker.get_configspace()\n\t\n\tconfig = cs.sample_configuration().get_dictionary()\n\tprint(config)\n\tres = worker.compute(config=config, budget=1, working_directory='.')\n\tprint(res)\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_5_mnist.py",
    "content": "\"\"\"\nExample 5 - MNIST\n=================\n\nSmall CNN for MNIST implementet in both Keras and PyTorch.\nThis example also shows how to log results to disk during the optimization\nwhich is useful for long runs, because intermediate results are directly available\nfor analysis. It also contains a more realistic search space with different types\nof variables to be optimized.\n\n\"\"\"\nimport os\nimport pickle\nimport argparse\n\nimport hpbandster.core.nameserver as hpns\nimport hpbandster.core.result as hpres\n\nfrom hpbandster.optimizers import BOHB\n\nimport logging\nlogging.basicConfig(level=logging.DEBUG)\n\n\n\nparser = argparse.ArgumentParser(description='Example 5 - CNN on MNIST')\nparser.add_argument('--min_budget',   type=float, help='Minimum number of epochs for training.',    default=1)\nparser.add_argument('--max_budget',   type=float, help='Maximum number of epochs for training.',    default=9)\nparser.add_argument('--n_iterations', type=int,   help='Number of iterations performed by the optimizer', default=16)\nparser.add_argument('--worker', help='Flag to turn this into a worker process', action='store_true')\nparser.add_argument('--run_id', type=str, help='A unique run id for this optimization run. An easy option is to use the job id of the clusters scheduler.')\nparser.add_argument('--nic_name',type=str, help='Which network interface to use for communication.', default='lo')\nparser.add_argument('--shared_directory',type=str, help='A directory that is accessible for all processes, e.g. a NFS share.', default='.')\nparser.add_argument('--backend',help='Toggles which worker is used. Choose between a pytorch and a keras implementation.', choices=['pytorch', 'keras'], default='keras')\n\nargs=parser.parse_args()\n\n\nif args.backend == 'pytorch':\n\tfrom example_5_pytorch_worker import PyTorchWorker as worker\nelse:\n\tfrom example_5_keras_worker import KerasWorker as worker\n\n\n# Every process has to lookup the hostname\nhost = hpns.nic_name_to_host(args.nic_name)\n\n\nif args.worker:\n\timport time\n\ttime.sleep(5)\t# short artificial delay to make sure the nameserver is already running\n\tw = worker(run_id=args.run_id, host=host, timeout=120)\n\tw.load_nameserver_credentials(working_directory=args.shared_directory)\n\tw.run(background=False)\n\texit(0)\n\n\n# This example shows how to log live results. This is most useful\n# for really long runs, where intermediate results could already be\n# interesting. The core.result submodule contains the functionality to\n# read the two generated files (results.json and configs.json) and\n# create a Result object.\nresult_logger = hpres.json_result_logger(directory=args.shared_directory, overwrite=False)\n\n\n# Start a nameserver:\nNS = hpns.NameServer(run_id=args.run_id, host=host, port=0, working_directory=args.shared_directory)\nns_host, ns_port = NS.start()\n\n# Start local worker\nw = worker(run_id=args.run_id, host=host, nameserver=ns_host, nameserver_port=ns_port, timeout=120)\nw.run(background=True)\n\n# Run an optimizer\nbohb = BOHB(  configspace = worker.get_configspace(),\n\t\t\t  run_id = args.run_id,\n\t\t\t  host=host,\n\t\t\t  nameserver=ns_host,\n\t\t\t  nameserver_port=ns_port,\n\t\t\t  result_logger=result_logger,\n\t\t\t  min_budget=args.min_budget, max_budget=args.max_budget, \n\t\t   )\nres = bohb.run(n_iterations=args.n_iterations)\n\n# store results\nwith open(os.path.join(args.shared_directory, 'results.pkl'), 'wb') as fh:\n\tpickle.dump(res, fh)\n\n# shutdown\nbohb.shutdown(shutdown_workers=True)\nNS.shutdown()\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_5_pytorch_worker.py",
    "content": "\"\"\"\nWorker for Example 5 - PyTorch\n==============================\n\nIn this example implements a small CNN in PyTorch to train it on MNIST.\nThe configuration space shows the most common types of hyperparameters and\neven contains conditional dependencies.\nIn this example implements a small CNN in Keras to train it on MNIST.\nThe configuration space shows the most common types of hyperparameters and\neven contains conditional dependencies.\n\nWe'll optimise the following hyperparameters:\n\n+-------------------------+----------------+-----------------+------------------------+\n| Parameter Name          | Parameter type |  Range/Choices  | Comment                |\n+=========================+================+=================+========================+\n| Learning rate           |  float         | [1e-6, 1e-2]    | varied logarithmically |\n+-------------------------+----------------+-----------------+------------------------+\n| Optimizer               | categorical    | {Adam, SGD }    | discrete choice        |\n+-------------------------+----------------+-----------------+------------------------+\n| SGD momentum            |  float         | [0, 0.99]       | only active if         |\n|                         |                |                 | optimizer == SGD       |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of conv layers   | integer        | [1,3]           | can only take integer  |\n|                         |                |                 | values 1, 2, or 3      |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of filters in    | integer        | [4, 64]         | logarithmically varied |\n| the first conf layer    |                |                 | integer values         |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of filters in    | integer        | [4, 64]         | only active if number  |\n| the second conf layer   |                |                 | of layers >= 2         |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of filters in    | integer        | [4, 64]         | only active if number  |\n| the third conf layer    |                |                 | of layers == 3         |\n+-------------------------+----------------+-----------------+------------------------+\n| Dropout rate            |  float         | [0, 0.9]        | standard continuous    |\n|                         |                |                 | parameter              |\n+-------------------------+----------------+-----------------+------------------------+\n| Number of hidden units  | integer        | [8,256]         | logarithmically varied |\n| in fully connected layer|                |                 | integer values         |\n+-------------------------+----------------+-----------------+------------------------+\n\nPlease refer to the compute method below to see how those are defined using the\nConfigSpace package.\n\t  \nThe network does not achieve stellar performance when a random configuration is samples,\nbut a few iterations should yield an accuracy of >90%. To speed up training, only\n8192 images are used for training, 1024 for validation.\nThe purpose is not to achieve state of the art on MNIST, but to show how to use\nPyTorch inside HpBandSter, and to demonstrate a more complicated search space.\n\"\"\"\n\ntry:\n\timport torch\n\timport torch.utils.data\n\timport torch.nn as nn\n\timport torch.nn.functional as F\nexcept:\n\traise ImportError(\"For this example you need to install pytorch.\")\n\ntry:\n\timport torchvision\n\timport torchvision.transforms as transforms\nexcept:\n\traise ImportError(\"For this example you need to install pytorch-vision.\")\n\n\n\nimport ConfigSpace as CS\nimport ConfigSpace.hyperparameters as CSH\n\nfrom hpbandster.core.worker import Worker\n\nimport logging\nlogging.basicConfig(level=logging.DEBUG)\n\n\n\nclass PyTorchWorker(Worker):\n\tdef __init__(self, N_train = 8192, N_valid = 1024, **kwargs):\n\t\tsuper().__init__(**kwargs)\n\n\t\tbatch_size = 64\n\n\t\t# Load the MNIST Data here\n\t\ttrain_dataset = torchvision.datasets.MNIST(root='../../data', train=True, transform=transforms.ToTensor(), download=True)\n\t\ttest_dataset = torchvision.datasets.MNIST(root='../../data', train=False, transform=transforms.ToTensor())\n\t\t\n\t\ttrain_sampler = torch.utils.data.sampler.SubsetRandomSampler(range(N_train))\n\t\tvalidation_sampler = torch.utils.data.sampler.SubsetRandomSampler(range(N_train, N_train+N_valid))\n\n\t\t\n\t\tself.train_loader = torch.utils.data.DataLoader(dataset=train_dataset, batch_size=batch_size, sampler=train_sampler)\n\t\tself.validation_loader = torch.utils.data.DataLoader(dataset=train_dataset, batch_size=1024, sampler=validation_sampler)\n\n\t\tself.test_loader = torch.utils.data.DataLoader(dataset=test_dataset, batch_size=1024, shuffle=False)\n\n\n\tdef compute(self, config, budget, working_directory, *args, **kwargs):\n\t\t\"\"\"\n\t\tSimple example for a compute function using a feed forward network.\n\t\tIt is trained on the MNIST dataset.\n\t\tThe input parameter \"config\" (dictionary) contains the sampled configurations passed by the bohb optimizer\n\t\t\"\"\"\n\n\t\t# device = torch.device('cpu')\n\t\tmodel = MNISTConvNet(num_conv_layers=config['num_conv_layers'],\n\t\t\t\t\t\t\tnum_filters_1=config['num_filters_1'],\n\t\t\t\t\t\t\tnum_filters_2=config['num_filters_2'] if 'num_filters_2' in config else None,\n\t\t\t\t\t\t\tnum_filters_3=config['num_filters_3'] if 'num_filters_3' in config else None,\n\t\t\t\t\t\t\tdropout_rate=config['dropout_rate'],\n\t\t\t\t\t\t\tnum_fc_units=config['num_fc_units'],\n\t\t\t\t\t\t\tkernel_size=3\n\t\t)\n\n\t\tcriterion = torch.nn.CrossEntropyLoss()\n\t\tif config['optimizer'] == 'Adam':\n\t\t\toptimizer = torch.optim.Adam(model.parameters(), lr=config['lr'])\n\t\telse:\n\t\t\toptimizer = torch.optim.SGD(model.parameters(), lr=config['lr'], momentum=config['sgd_momentum'])\n\n\t\tfor epoch in range(int(budget)):\n\t\t\tloss = 0\n\t\t\tmodel.train()\n\t\t\tfor i, (x, y) in enumerate(self.train_loader):\n\t\t\t\toptimizer.zero_grad()\n\t\t\t\toutput = model(x)\n\t\t\t\tloss = F.nll_loss(output, y)\n\t\t\t\tloss.backward()\n\t\t\t\toptimizer.step()\n\n\t\ttrain_accuracy = self.evaluate_accuracy(model, self.train_loader)\n\t\tvalidation_accuracy = self.evaluate_accuracy(model, self.validation_loader)\n\t\ttest_accuracy = self.evaluate_accuracy(model, self.test_loader)\n\n\t\treturn ({\n\t\t\t'loss': 1-validation_accuracy, # remember: HpBandSter always minimizes!\n\t\t\t'info': {\t'test accuracy': test_accuracy,\n\t\t\t\t\t\t'train accuracy': train_accuracy,\n\t\t\t\t\t\t'validation accuracy': validation_accuracy,\n\t\t\t\t\t\t'number of parameters': model.number_of_parameters(),\n\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t})\n\n\tdef evaluate_accuracy(self, model, data_loader):\n\t\tmodel.eval()\n\t\tcorrect=0\n\t\twith torch.no_grad():\n\t\t\tfor x, y in data_loader:\n\t\t\t\toutput = model(x)\n\t\t\t\t#test_loss += F.nll_loss(output, target, reduction='sum').item() # sum up batch loss\n\t\t\t\tpred = output.max(1, keepdim=True)[1] # get the index of the max log-probability\n\t\t\t\tcorrect += pred.eq(y.view_as(pred)).sum().item()\n\t\t#import pdb; pdb.set_trace()\t\n\t\taccuracy = correct/len(data_loader.sampler)\n\t\treturn(accuracy)\n\n\n\t@staticmethod\n\tdef get_configspace():\n\t\t\"\"\"\n\t\tIt builds the configuration space with the needed hyperparameters.\n\t\tIt is easily possible to implement different types of hyperparameters.\n\t\tBeside float-hyperparameters on a log scale, it is also able to handle categorical input parameter.\n\t\t:return: ConfigurationsSpace-Object\n\t\t\"\"\"\n\t\tcs = CS.ConfigurationSpace()\n\n\t\tlr = CSH.UniformFloatHyperparameter('lr', lower=1e-6, upper=1e-1, default_value='1e-2', log=True)\n\n\t\t# For demonstration purposes, we add different optimizers as categorical hyperparameters.\n\t\t# To show how to use conditional hyperparameters with ConfigSpace, we'll add the optimizers 'Adam' and 'SGD'.\n\t\t# SGD has a different parameter 'momentum'.\n\t\toptimizer = CSH.CategoricalHyperparameter('optimizer', ['Adam', 'SGD'])\n\n\t\tsgd_momentum = CSH.UniformFloatHyperparameter('sgd_momentum', lower=0.0, upper=0.99, default_value=0.9, log=False)\n\n\t\tcs.add_hyperparameters([lr, optimizer, sgd_momentum])\n\n\t\t# The hyperparameter sgd_momentum will be used,if the configuration\n\t\t# contains 'SGD' as optimizer.\n\t\tcond = CS.EqualsCondition(sgd_momentum, optimizer, 'SGD')\n\t\tcs.add_condition(cond)\n\n\t\tnum_conv_layers =  CSH.UniformIntegerHyperparameter('num_conv_layers', lower=1, upper=3, default_value=2)\n\t\t\n\t\tnum_filters_1 = CSH.UniformIntegerHyperparameter('num_filters_1', lower=4, upper=64, default_value=16, log=True)\n\t\tnum_filters_2 = CSH.UniformIntegerHyperparameter('num_filters_2', lower=4, upper=64, default_value=16, log=True)\n\t\tnum_filters_3 = CSH.UniformIntegerHyperparameter('num_filters_3', lower=4, upper=64, default_value=16, log=True)\n\n\n\t\tcs.add_hyperparameters([num_conv_layers, num_filters_1, num_filters_2, num_filters_3])\n\t\t\n\t\t# You can also use inequality conditions:\n\t\tcond = CS.GreaterThanCondition(num_filters_2, num_conv_layers, 1)\n\t\tcs.add_condition(cond)\n\n\t\tcond = CS.GreaterThanCondition(num_filters_3, num_conv_layers, 2)\n\t\tcs.add_condition(cond)\n\n\n\t\tdropout_rate = CSH.UniformFloatHyperparameter('dropout_rate', lower=0.0, upper=0.9, default_value=0.5, log=False)\n\t\tnum_fc_units = CSH.UniformIntegerHyperparameter('num_fc_units', lower=8, upper=256, default_value=32, log=True)\n\n\t\tcs.add_hyperparameters([dropout_rate, num_fc_units])\n\n\t\treturn cs\n\n\n\n\nclass MNISTConvNet(torch.nn.Module):\n\tdef __init__(self, num_conv_layers, num_filters_1, num_filters_2, num_filters_3, dropout_rate, num_fc_units, kernel_size):\n\t\tsuper().__init__()\n\t\t\n\t\tself.conv1 = nn.Conv2d(1, num_filters_1, kernel_size=kernel_size)\n\t\tself.conv2 = None\n\t\tself.conv3 = None\n\t\t\n\t\toutput_size = (28-kernel_size + 1)//2\n\t\tnum_output_filters = num_filters_1\n\t\t\n\t\tif num_conv_layers > 1:\n\t\t\tself.conv2 = nn.Conv2d(num_filters_1, num_filters_2, kernel_size=kernel_size)\n\t\t\tnum_output_filters = num_filters_2\n\t\t\toutput_size = (output_size - kernel_size + 1)//2\n\n\t\tif num_conv_layers > 2:\n\t\t\tself.conv3 = nn.Conv2d(num_filters_2, num_filters_3, kernel_size=kernel_size)\n\t\t\tnum_output_filters = num_filters_3\n\t\t\toutput_size = (output_size - kernel_size + 1)//2\n\t\t\n\t\tself.dropout = nn.Dropout(p = dropout_rate)\n\n\t\tself.conv_output_size = num_output_filters*output_size*output_size\n\n\t\tself.fc1 = nn.Linear(self.conv_output_size, num_fc_units)\n\t\tself.fc2 = nn.Linear(num_fc_units, 10)\n\t\t\n\n\n\tdef forward(self, x):\n\t\t\n\t\t# switched order of pooling and relu compared to the original example\n\t\t# to make it identical to the keras worker\n\t\t# seems to also give better accuracies\n\t\tx = F.max_pool2d(F.relu(self.conv1(x)), 2)\n\t\t\n\t\tif not self.conv2 is None:\n\t\t\tx = F.max_pool2d(F.relu(self.conv2(x)), 2)\n\n\t\tif not self.conv3 is None:\n\t\t\tx = F.max_pool2d(F.relu(self.conv3(x)), 2)\n\n\t\tx = self.dropout(x)\n\t\t\n\t\tx = x.view(-1, self.conv_output_size)\n\t\tx = F.relu(self.fc1(x))\n\t\tx = self.dropout(x)\n\t\tx = self.fc2(x)\n\t\treturn F.log_softmax(x, dim=1)\n\n\n\tdef number_of_parameters(self):\n\t\treturn(sum(p.numel() for p in self.parameters() if p.requires_grad))\n\n\n\nif __name__ == \"__main__\":\n\tworker = PyTorchWorker(run_id='0')\n\tcs = worker.get_configspace()\n\t\n\tconfig = cs.sample_configuration().get_dictionary()\n\tprint(config)\n\tres = worker.compute(config=config, budget=2, working_directory='.')\n\tprint(res)\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_5_run/configs.json",
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{\"model_based_pick\": false}]\n[[0, 0, 4], {\"dropout_rate\": 0.15569094605935674, \"lr\": 4.897288561324329e-06, \"num_conv_layers\": 1, \"num_fc_units\": 92, \"num_filters_1\": 39, \"optimizer\": \"Adam\"}, {\"model_based_pick\": false}]\n[[0, 0, 5], {\"dropout_rate\": 0.32643880075916465, \"lr\": 1.4658987550588868e-06, \"num_conv_layers\": 2, \"num_fc_units\": 51, \"num_filters_1\": 43, \"optimizer\": \"SGD\", \"num_filters_2\": 6, \"sgd_momentum\": 0.8071857690522759}, {\"model_based_pick\": false}]\n[[0, 0, 6], {\"dropout_rate\": 0.2122508394115222, \"lr\": 0.00023491991849530254, \"num_conv_layers\": 1, \"num_fc_units\": 178, \"num_filters_1\": 6, \"optimizer\": \"Adam\"}, {\"model_based_pick\": false}]\n[[0, 0, 7], {\"dropout_rate\": 0.7104812790984504, \"lr\": 0.05612690224246151, \"num_conv_layers\": 2, \"num_fc_units\": 80, \"num_filters_1\": 4, \"optimizer\": \"Adam\", \"num_filters_2\": 49}, {\"model_based_pick\": false}]\n[[0, 0, 8], {\"dropout_rate\": 0.383380048336226, 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null]\n[[15, 0, 6], 3.0, {\"submitted\": 1534081744.8068984, \"started\": 1534081744.8077588, \"finished\": 1534081801.568248}, {\"loss\": 0.064453125, \"info\": {\"test accuracy\": 0.955, \"train accuracy\": 0.971435546875, \"validation accuracy\": 0.935546875, \"number of parameters\": 302820}}, null]\n[[15, 0, 4], 3.0, {\"submitted\": 1534081744.8065667, \"started\": 1534081744.8071163, \"finished\": 1534082012.8458457}, {\"loss\": 0.09375, \"info\": {\"test accuracy\": 0.9238, \"train accuracy\": 0.9296875, \"validation accuracy\": 0.90625, \"number of parameters\": 32567}}, null]\n[[15, 0, 6], 9.0, {\"submitted\": 1534082012.846661, \"started\": 1534082012.846856, \"finished\": 1534082117.80023}, {\"loss\": 0.04296875, \"info\": {\"test accuracy\": 0.9713, \"train accuracy\": 0.995361328125, \"validation accuracy\": 0.95703125, \"number of parameters\": 302820}}, null]\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/example_8_mnist_continued.py",
    "content": "\"\"\"\nExample 8 - Warmstarting for MNIST\n==================================\n\nSometimes it is desired to continue an already finished run because the optimization\nrequires more function evaluations. In other cases, one might wish to use results\nfrom previous runs to speed up the optimization. This might be useful if initial\nruns were done with relatively small budgets, or on only a subset of the data to\nget an initial understanding of the problem.\n\nHere we shall see how to use the results from example 5 to initialize BOHB's model.\nWhat changed are\n- the number of training points is increased from 8192 to 32768\n- the number of validation points is increased from 1024 to 16384\n- the mimum budget is now 3 instead of 1 because we have already quite a few runs for a small number of epochs\n\nNote that the loaded runs will show up in the results of the new run. They are all\ncombined into an iteration with the index -1 and their time stamps are manipulated\nsuch that the last run finishes at time 0 with all other times being negative.\nThat info can be used to filter those runs when analysing the run.\n\n\"\"\"\nimport os\nimport pickle\nimport argparse\n\nimport hpbandster.core.nameserver as hpns\nimport hpbandster.core.result as hpres\n\nfrom hpbandster.optimizers import BOHB\n\nimport logging\nlogging.basicConfig(level=logging.DEBUG)\n\n\n\nparser = argparse.ArgumentParser(description='Example 1 - sequential and local execution.')\nparser.add_argument('--min_budget',   type=float, help='Minimum number of epochs for training.',    default=3)\nparser.add_argument('--max_budget',   type=float, help='Maximum number of epochs for training.',    default=9)\nparser.add_argument('--n_iterations', type=int,   help='Number of iterations performed by the optimizer', default=4)\nparser.add_argument('--worker', help='Flag to turn this into a worker process', action='store_true')\nparser.add_argument('--run_id', type=str, help='A unique run id for this optimization run. An easy option is to use the job id of the clusters scheduler.')\nparser.add_argument('--nic_name',type=str, help='Which network interface to use for communication.', default='lo')\nparser.add_argument('--shared_directory',type=str, help='A directory that is accessible for all processes, e.g. a NFS share.', default='.')\nparser.add_argument('--backend',help='Toggles which worker is used. Choose between a pytorch and a keras implementation.', choices=['pytorch', 'keras'], default='keras')\nparser.add_argument('--previous_run_dir',type=str, help='A directory that contains a config.json and results.json for the same configuration space.', default='./example_5_run/')\n\nargs=parser.parse_args()\n\n\nif args.backend == 'pytorch':\n\tfrom example_5_pytorch_worker import PyTorchWorker as worker\nelse:\n\tfrom example_5_keras_worker import KerasWorker as worker\n\n\n# Every process has to lookup the hostname\nhost = hpns.nic_name_to_host(args.nic_name)\n\n\nif args.worker:\n\timport time\n\ttime.sleep(5)\t# short artificial delay to make sure the nameserver is already running\n\tw = worker(run_id=args.run_id, host=host, timeout=120)\n\tw.load_nameserver_credentials(working_directory=args.shared_directory)\n\tw.run(background=False)\n\texit(0)\n\n\n# This example shows how to log live results. This is most useful\n# for really long runs, where intermediate results could already be\n# interesting. The core.result submodule contains the functionality to\n# read the two generated files (results.json and configs.json) and\n# create a Result object.\nresult_logger = hpres.json_result_logger(directory=args.shared_directory, overwrite=False)\n\n\n# Start a nameserver:\nNS = hpns.NameServer(run_id=args.run_id, host=host, port=0, working_directory=args.shared_directory)\nns_host, ns_port = NS.start()\n\n# Start local worker\nw = worker(run_id=args.run_id, host=host, nameserver=ns_host, nameserver_port=ns_port, timeout=120)\nw.run(background=True)\n\n\n# Let us load the old run now to use its results to warmstart a new run with slightly\n# different budgets in terms of datapoints and epochs.\n# Note that the search space has to be identical though!\nprevious_run = hpres.logged_results_to_HBS_result(args.previous_run_dir)\n\n\n# Run an optimizer\nbohb = BOHB(  configspace = worker.get_configspace(),\n\t\t\t  run_id = args.run_id,\n\t\t\t  host=host,\n\t\t\t  nameserver=ns_host,\n\t\t\t  nameserver_port=ns_port,\n\t\t\t  result_logger=result_logger,\n\t\t\t  min_budget=args.min_budget, max_budget=args.max_budget, \n\t\t\t  previous_result = previous_run,\t\t\t\t# this is how you tell any optimizer about previous runs\n\t\t   )\nres = bohb.run(n_iterations=args.n_iterations)\n\n# store results\nwith open(os.path.join(args.shared_directory, 'results.pkl'), 'wb') as fh:\n\tpickle.dump(res, fh)\n\n# shutdown\nbohb.shutdown(shutdown_workers=True)\nNS.shutdown()\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/plot_example_6_analysis.py",
    "content": "\"\"\"\nExample 6 -  Analysis of a Run\n==============================\n\nThis example takes a run from example 5 and performs some analysis of it.\nIt shows how to get the best performing configuration, and its attributes.\nMore advanced analysis plots provide some insights into a run and the problem.\n\n\"\"\"\n\nimport matplotlib.pyplot as plt\nimport hpbandster.core.result as hpres\nimport hpbandster.visualization as hpvis\n\n\n\n# load the example run from the log files\nresult = hpres.logged_results_to_HBS_result('example_5_run/')\n\n# get all executed runs\nall_runs = result.get_all_runs()\n\n# get the 'dict' that translates config ids to the actual configurations\nid2conf = result.get_id2config_mapping()\n\n\n# Here is how you get he incumbent (best configuration)\ninc_id = result.get_incumbent_id()\n\n# let's grab the run on the highest budget \ninc_runs = result.get_runs_by_id(inc_id)\ninc_run = inc_runs[-1]\n\n\n# We have access to all information: the config, the loss observed during\n#optimization, and all the additional information\ninc_loss = inc_run.loss\ninc_config = id2conf[inc_id]['config']\ninc_test_loss = inc_run.info['test accuracy']\n\nprint('Best found configuration:')\nprint(inc_config)\nprint('It achieved accuracies of %f (validation) and %f (test).'%(1-inc_loss, inc_test_loss))\n\n\n# Let's plot the observed losses grouped by budget,\nhpvis.losses_over_time(all_runs) \n\n# the number of concurent runs,\nhpvis.concurrent_runs_over_time(all_runs) \n\n# and the number of finished runs.\nhpvis.finished_runs_over_time(all_runs)\n\n# This one visualizes the spearman rank correlation coefficients of the losses\n# between different budgets.\nhpvis.correlation_across_budgets(result)\n\n# For model based optimizers, one might wonder how much the model actually helped.\n# The next plot compares the performance of configs picked by the model vs. random ones\nhpvis.performance_histogram_model_vs_random(all_runs, id2conf) \n\nplt.show()\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/examples/plot_example_7_interactive_plot.py",
    "content": "\"\"\"\nExample 7 - Interactive Exploration of the Results\n==================================================\n\nThis example takes a run from example 5 and allows you to interactively look at\nall runs performed and the associated loss.\nThe plot allows you to only include certain iterations (selected by the checkboxes on the left).\nBy hovering over the learning curves (all runs of a single configuration on all respective budets)\nyou see some information about the configuration and its performance.\nClicking on it will make the tool tip persistent.Clicking on the curve again, will remove it again.\n\nThis tool is not very mature, but maybe it can help you to explore the structure hidden in your\nresults.  Please refer to the documentation of the visualization submodule to see all\noptions.\n\"\"\"\n\nimport matplotlib.pyplot as plt\nimport hpbandster.core.result as hpres\nimport hpbandster.visualization as hpvis\n\n\n\n# load the example run from the log files\nresult = hpres.logged_results_to_HBS_result('example_5_run/')\n\n# get all executed runs\nall_runs = result.get_all_runs()\n\n# get the 'dict' that translates config ids to the actual configurations\nid2conf = result.get_id2config_mapping()\n\nlcs = result.get_learning_curves()\n\nhpvis.interactive_HBS_plot(lcs, tool_tip_strings=hpvis.default_tool_tips(result, lcs))\n\n\n\n\ndef realtime_learning_curves(runs):\n\t\"\"\"\n\texample how to extract a different kind of learning curve.\n\t\n\tThe x values are now the time the runs finished, not the budget anymore.\n\tWe no longer plot the validation loss on the y axis, but now the test accuracy.\n\t\n\tThis is just to show how to get different information into the interactive plot.\n\t\n\t\"\"\"\n\tsr = sorted(runs, key=lambda r: r.budget)\n\tlc = list(filter(lambda t: not t[1] is None, [(r.time_stamps['finished'], r.info['test accuracy']) for r in sr]))\n\treturn([lc,])\n\t\nlcs = result.get_learning_curves(lc_extractor=realtime_learning_curves)\n\nhpvis.interactive_HBS_plot(lcs, tool_tip_strings=hpvis.default_tool_tips(result, lcs))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/__init__.py",
    "content": "from hpbandster.optimizers.randomsearch import RandomSearch\nfrom hpbandster.optimizers.hyperband import HyperBand\nfrom hpbandster.optimizers.bohb import BOHB\nfrom hpbandster.optimizers.h2bo import H2BO\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/bohb.py",
    "content": "import os\nimport time\nimport math\nimport copy\nimport logging\n\nimport numpy as np\n\n\nimport ConfigSpace as CS\n\nfrom hpbandster.core.master import Master\nfrom hpbandster.optimizers.iterations import SuccessiveHalving\nfrom hpbandster.optimizers.config_generators.bohb import BOHB as CG_BOHB\n\nclass BOHB(Master):\n\tdef __init__(self, configspace = None,\n\t\t\t\t\teta=3, min_budget=0.01, max_budget=1,\n\t\t\t\t\tmin_points_in_model = None,\ttop_n_percent=15,\n\t\t\t\t\tnum_samples = 64, random_fraction=1/3, bandwidth_factor=3,\n\t\t\t\t\tmin_bandwidth=1e-3,\n\t\t\t\t\t**kwargs ):\n\t\t\"\"\"\n                BOHB performs robust and efficient hyperparameter optimization\n                at scale by combining the speed of Hyperband searches with the\n                guidance and guarantees of convergence of Bayesian\n                Optimization. Instead of sampling new configurations at random,\n                BOHB uses kernel density estimators to select promising candidates.\n\n                .. highlight:: none\n\n                For reference: ::\n\n\t\t\t@InProceedings{falkner-icml-18,\n\t\t\t  title =        {{BOHB}: Robust and Efficient Hyperparameter Optimization at Scale},\n\t\t\t  author =       {Falkner, Stefan and Klein, Aaron and Hutter, Frank},\n\t\t\t  booktitle =    {Proceedings of the 35th International Conference on Machine Learning},\n\t\t\t  pages =        {1436--1445},\n\t\t\t  year =         {2018},\n\t\t\t}\n\n\t\tParameters\n\t\t----------\n\t\tconfigspace: ConfigSpace object\n\t\t\tvalid representation of the search space\n\t\teta : float\n\t\t\tIn each iteration, a complete run of sequential halving is executed. In it,\n\t\t\tafter evaluating each configuration on the same subset size, only a fraction of\n\t\t\t1/eta of them 'advances' to the next round.\n\t\t\tMust be greater or equal to 2.\n\t\tmin_budget : float\n\t\t\tThe smallest budget to consider. Needs to be positive!\n\t\tmax_budget : float\n\t\t\tThe largest budget to consider. Needs to be larger than min_budget!\n\t\t\tThe budgets will be geometrically distributed\n                        :math:`a^2 + b^2 = c^2 \\sim \\eta^k` for :math:`k\\in [0, 1, ... , num\\_subsets - 1]`.\n\t\tmin_points_in_model: int\n\t\t\tnumber of observations to start building a KDE. Default 'None' means\n\t\t\tdim+1, the bare minimum.\n\t\ttop_n_percent: int\n\t\t\tpercentage ( between 1 and 99, default 15) of the observations that are considered good.\n\t\tnum_samples: int\n\t\t\tnumber of samples to optimize EI (default 64)\n\t\trandom_fraction: float\n\t\t\tfraction of purely random configurations that are sampled from the\n\t\t\tprior without the model.\n\t\tbandwidth_factor: float\n\t\t\tto encourage diversity, the points proposed to optimize EI, are sampled\n\t\t\tfrom a 'widened' KDE where the bandwidth is multiplied by this factor (default: 3)\n\t\tmin_bandwidth: float\n\t\t\tto keep diversity, even when all (good) samples have the same value for one of the parameters,\n\t\t\ta minimum bandwidth (Default: 1e-3) is used instead of zero.\n\t\titeration_kwargs: dict\n\t\t\tkwargs to be added to the instantiation of each iteration\n\t\t\"\"\"\n\n\n\n\t\t# TODO: Propper check for ConfigSpace object!\n\t\tif configspace is None:\n\t\t\traise ValueError(\"You have to provide a valid CofigSpace object\")\n\n\n\n\t\tcg = CG_BOHB( configspace = configspace,\n\t\t\t\t\tmin_points_in_model = min_points_in_model,\n\t\t\t\t\ttop_n_percent=top_n_percent,\n\t\t\t\t\tnum_samples = num_samples,\n\t\t\t\t\trandom_fraction=random_fraction,\n\t\t\t\t\tbandwidth_factor=bandwidth_factor,\n\t\t\t\t\tmin_bandwidth = min_bandwidth\n\t\t\t\t\t)\n\n\t\tsuper().__init__(config_generator=cg, **kwargs)\n\n\t\t# Hyperband related stuff\n\t\tself.eta = eta\n\t\tself.min_budget = min_budget\n\t\tself.max_budget = max_budget\n\n\t\t# precompute some HB stuff\n\t\tself.max_SH_iter = -int(np.log(min_budget/max_budget)/np.log(eta)) + 1\n\t\tself.budgets = max_budget * np.power(eta, -np.linspace(self.max_SH_iter-1, 0, self.max_SH_iter))\n\n\t\tself.config.update({\n\t\t\t\t\t\t'eta'        : eta,\n\t\t\t\t\t\t'min_budget' : min_budget,\n\t\t\t\t\t\t'max_budget' : max_budget,\n\t\t\t\t\t\t'budgets'    : self.budgets,\n\t\t\t\t\t\t'max_SH_iter': self.max_SH_iter,\n\t\t\t\t\t\t'min_points_in_model' : min_points_in_model,\n\t\t\t\t\t\t'top_n_percent' : top_n_percent,\n\t\t\t\t\t\t'num_samples' : num_samples,\n\t\t\t\t\t\t'random_fraction' : random_fraction,\n\t\t\t\t\t\t'bandwidth_factor' : bandwidth_factor,\n\t\t\t\t\t\t'min_bandwidth': min_bandwidth\n\t\t\t\t\t})\n\n\tdef get_next_iteration(self, iteration, iteration_kwargs={}):\n\t\t\"\"\"\n\t\tBO-HB uses (just like Hyperband) SuccessiveHalving for each iteration.\n\t\tSee Li et al. (2016) for reference.\n\t\t\n\t\tParameters\n\t\t----------\n\t\t\titeration: int\n\t\t\t\tthe index of the iteration to be instantiated\n\n\t\tReturns\n\t\t-------\n\t\t\tSuccessiveHalving: the SuccessiveHalving iteration with the\n\t\t\t\tcorresponding number of configurations\n\t\t\"\"\"\n\t\t\n\t\t# number of 'SH rungs'\n\t\ts = self.max_SH_iter - 1 - (iteration%self.max_SH_iter)\n\t\t# number of configurations in that bracket\n\t\tn0 = int(np.floor((self.max_SH_iter)/(s+1)) * self.eta**s)\n\t\tns = [max(int(n0*(self.eta**(-i))), 1) for i in range(s+1)]\n\n\t\treturn(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=self.budgets[(-s-1):], config_sampler=self.config_generator.get_config, **iteration_kwargs))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/config_generators/__init__.py",
    "content": "from hpbandster.optimizers.config_generators.random_sampling import RandomSampling\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/config_generators/bohb.py",
    "content": "import logging\nfrom copy import deepcopy\nimport traceback\n\n\nimport ConfigSpace\nimport ConfigSpace.hyperparameters\nimport ConfigSpace.util\nimport numpy as np\nimport scipy.stats as sps\nimport scipy.optimize as spo\nimport statsmodels.api as sm\n\nfrom hpbandster.core.base_config_generator import base_config_generator\n\n\nclass BOHB(base_config_generator):\n\tdef __init__(self, configspace, min_points_in_model = None,\n\t\t\t\t top_n_percent=15, num_samples = 64, random_fraction=1/3,\n\t\t\t\t bandwidth_factor=3, min_bandwidth=1e-3,\n\t\t\t\t**kwargs):\n\t\t\"\"\"\n\t\t\tFits for each given budget a kernel density estimator on the best N percent of the\n\t\t\tevaluated configurations on this budget.\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tconfigspace: ConfigSpace\n\t\t\t\tConfiguration space object\n\t\t\ttop_n_percent: int\n\t\t\t\tDetermines the percentile of configurations that will be used as training data\n\t\t\t\tfor the kernel density estimator, e.g if set to 10 the 10% best configurations will be considered\n\t\t\t\tfor training.\n\t\t\tmin_points_in_model: int\n\t\t\t\tminimum number of datapoints needed to fit a model\n\t\t\tnum_samples: int\n\t\t\t\tnumber of samples drawn to optimize EI via sampling\n\t\t\trandom_fraction: float\n\t\t\t\tfraction of random configurations returned\n\t\t\tbandwidth_factor: float\n\t\t\t\twidens the bandwidth for contiuous parameters for proposed points to optimize EI\n\t\t\tmin_bandwidth: float\n\t\t\t\tto keep diversity, even when all (good) samples have the same value for one of the parameters,\n\t\t\t\ta minimum bandwidth (Default: 1e-3) is used instead of zero. \n\n\t\t\"\"\"\n\t\tsuper().__init__(**kwargs)\n\t\tself.top_n_percent=top_n_percent\n\t\tself.configspace = configspace\n\t\tself.bw_factor = bandwidth_factor\n\t\tself.min_bandwidth = min_bandwidth\n\n\t\tself.min_points_in_model = min_points_in_model\n\t\tif min_points_in_model is None:\n\t\t\tself.min_points_in_model = len(self.configspace.get_hyperparameters())+1\n\t\t\n\t\tif self.min_points_in_model < len(self.configspace.get_hyperparameters())+1:\n\t\t\tself.logger.warning('Invalid min_points_in_model value. Setting it to %i'%(len(self.configspace.get_hyperparameters())+1))\n\t\t\tself.min_points_in_model =len(self.configspace.get_hyperparameters())+1\n\t\t\n\t\tself.num_samples = num_samples\n\t\tself.random_fraction = random_fraction\n\n\t\thps = self.configspace.get_hyperparameters()\n\n\t\tself.kde_vartypes = \"\"\n\t\tself.vartypes = []\n\n\n\t\tfor h in hps:\n\t\t\tif hasattr(h, 'sequence'):\n\t\t\t\traise RuntimeError('This version on BOHB does not support ordinal hyperparameters. Please encode %s as an integer parameter!'%(h.name))\n\t\t\t\n\t\t\tif hasattr(h, 'choices'):\n\t\t\t\tself.kde_vartypes += 'u'\n\t\t\t\tself.vartypes +=[ len(h.choices)]\n\t\t\telse:\n\t\t\t\tself.kde_vartypes += 'c'\n\t\t\t\tself.vartypes +=[0]\n\t\t\n\t\tself.vartypes = np.array(self.vartypes, dtype=int)\n\n\t\t# store precomputed probs for the categorical parameters\n\t\tself.cat_probs = []\n\t\t\n\n\t\tself.configs = dict()\n\t\tself.losses = dict()\n\t\tself.good_config_rankings = dict()\n\t\tself.kde_models = dict()\n\n\n\tdef largest_budget_with_model(self):\n\t\tif len(self.kde_models) == 0:\n\t\t\treturn(-float('inf'))\n\t\treturn(max(self.kde_models.keys()))\n\n\tdef get_config(self, budget):\n\t\t\"\"\"\n\t\t\tFunction to sample a new configuration\n\n\t\t\tThis function is called inside Hyperband to query a new configuration\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tbudget: float\n\t\t\t\tthe budget for which this configuration is scheduled\n\n\t\t\treturns: config\n\t\t\t\tshould return a valid configuration\n\n\t\t\"\"\"\n\t\t\n\t\tself.logger.debug('start sampling a new configuration.')\n\t\t\n\n\t\tsample = None\n\t\tinfo_dict = {}\n\t\t\n\t\t# If no model is available, sample from prior\n\t\t# also mix in a fraction of random configs\n\t\tif len(self.kde_models.keys()) == 0 or np.random.rand() < self.random_fraction:\n\t\t\tsample =  self.configspace.sample_configuration()\n\t\t\tinfo_dict['model_based_pick'] = False\n\n\t\tbest = np.inf\n\t\tbest_vector = None\n\n\t\tif sample is None:\n\t\t\ttry:\n\t\t\t\t\n\t\t\t\t#sample from largest budget\n\t\t\t\tbudget = max(self.kde_models.keys())\n\n\t\t\t\tl = self.kde_models[budget]['good'].pdf\n\t\t\t\tg = self.kde_models[budget]['bad' ].pdf\n\t\t\t\n\t\t\t\tminimize_me = lambda x: max(1e-32, g(x))/max(l(x),1e-32)\n\t\t\t\t\n\t\t\t\tkde_good = self.kde_models[budget]['good']\n\t\t\t\tkde_bad = self.kde_models[budget]['bad']\n\n\t\t\t\tfor i in range(self.num_samples):\n\t\t\t\t\tidx = np.random.randint(0, len(kde_good.data))\n\t\t\t\t\tdatum = kde_good.data[idx]\n\t\t\t\t\tvector = []\n\t\t\t\t\t\n\t\t\t\t\tfor m,bw,t in zip(datum, kde_good.bw, self.vartypes):\n\t\t\t\t\t\t\n\t\t\t\t\t\tbw = max(bw, self.min_bandwidth)\n\t\t\t\t\t\tif t == 0:\n\t\t\t\t\t\t\tbw = self.bw_factor*bw\n\t\t\t\t\t\t\ttry:\n\t\t\t\t\t\t\t\tvector.append(sps.truncnorm.rvs(-m/bw,(1-m)/bw, loc=m, scale=bw))\n\t\t\t\t\t\t\texcept:\n\t\t\t\t\t\t\t\tself.logger.warning(\"Truncated Normal failed for:\\ndatum=%s\\nbandwidth=%s\\nfor entry with value %s\"%(datum, kde_good.bw, m))\n\t\t\t\t\t\t\t\tself.logger.warning(\"data in the KDE:\\n%s\"%kde_good.data)\n\t\t\t\t\t\telse:\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tif np.random.rand() < (1-bw):\n\t\t\t\t\t\t\t\tvector.append(int(m))\n\t\t\t\t\t\t\telse:\n\t\t\t\t\t\t\t\tvector.append(np.random.randint(t))\n\t\t\t\t\tval = minimize_me(vector)\n\n\t\t\t\t\tif not np.isfinite(val):\n\t\t\t\t\t\tself.logger.warning('sampled vector: %s has EI value %s'%(vector, val))\n\t\t\t\t\t\tself.logger.warning(\"data in the KDEs:\\n%s\\n%s\"%(kde_good.data, kde_bad.data))\n\t\t\t\t\t\tself.logger.warning(\"bandwidth of the KDEs:\\n%s\\n%s\"%(kde_good.bw, kde_bad.bw))\n\t\t\t\t\t\tself.logger.warning(\"l(x) = %s\"%(l(vector)))\n\t\t\t\t\t\tself.logger.warning(\"g(x) = %s\"%(g(vector)))\n\n\t\t\t\t\t\t# right now, this happens because a KDE does not contain all values for a categorical parameter\n\t\t\t\t\t\t# this cannot be fixed with the statsmodels KDE, so for now, we are just going to evaluate this one\n\t\t\t\t\t\t# if the good_kde has a finite value, i.e. there is no config with that value in the bad kde, so it shouldn't be terrible.\n\t\t\t\t\t\tif np.isfinite(l(vector)):\n\t\t\t\t\t\t\tbest_vector = vector\n\t\t\t\t\t\t\tbreak\n\n\t\t\t\t\tif val < best:\n\t\t\t\t\t\tbest = val\n\t\t\t\t\t\tbest_vector = vector\n\n\t\t\t\tif best_vector is None:\n\t\t\t\t\tself.logger.debug(\"Sampling based optimization with %i samples failed -> using random configuration\"%self.num_samples)\n\t\t\t\t\tsample = self.configspace.sample_configuration().get_dictionary()\n\t\t\t\t\tinfo_dict['model_based_pick']  = False\n\t\t\t\telse:\n\t\t\t\t\tself.logger.debug('best_vector: {}, {}, {}, {}'.format(best_vector, best, l(best_vector), g(best_vector)))\n\t\t\t\t\tfor i, hp_value in enumerate(best_vector):\n\t\t\t\t\t\tif isinstance(\n\t\t\t\t\t\t\tself.configspace.get_hyperparameter(\n\t\t\t\t\t\t\t\tself.configspace.get_hyperparameter_by_idx(i)\n\t\t\t\t\t\t\t),\n\t\t\t\t\t\t\tConfigSpace.hyperparameters.CategoricalHyperparameter\n\t\t\t\t\t\t):\n\t\t\t\t\t\t\tbest_vector[i] = int(np.rint(best_vector[i]))\n\t\t\t\t\tsample = ConfigSpace.Configuration(self.configspace, vector=best_vector).get_dictionary()\n\t\t\t\t\t\n\t\t\t\t\ttry:\n\t\t\t\t\t\tsample = ConfigSpace.util.deactivate_inactive_hyperparameters(\n\t\t\t\t\t\t\t\t\tconfiguration_space=self.configspace,\n\t\t\t\t\t\t\t\t\tconfiguration=sample\n\t\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\tinfo_dict['model_based_pick'] = True\n\n\t\t\t\t\texcept Exception as e:\n\t\t\t\t\t\tself.logger.warning((\"=\"*50 + \"\\n\")*3 +\\\n\t\t\t\t\t\t\t\t\"Error converting configuration:\\n%s\"%sample+\\\n\t\t\t\t\t\t\t\t\"\\n here is a traceback:\" +\\\n\t\t\t\t\t\t\t\ttraceback.format_exc())\n\t\t\t\t\t\traise(e)\n\n\t\t\texcept:\n\t\t\t\tself.logger.warning(\"Sampling based optimization with %i samples failed\\n %s \\nUsing random configuration\"%(self.num_samples, traceback.format_exc()))\n\t\t\t\tsample = self.configspace.sample_configuration()\n\t\t\t\tinfo_dict['model_based_pick']  = False\n\n\n\t\ttry:\n\t\t\tsample = ConfigSpace.util.deactivate_inactive_hyperparameters(\n\t\t\t\tconfiguration_space=self.configspace,\n\t\t\t\tconfiguration=sample.get_dictionary()\n\t\t\t).get_dictionary()\n\t\texcept Exception as e:\n\t\t\tself.logger.warning(\"Error (%s) converting configuration: %s -> \"\n\t\t\t\t\t\t\t\t\"using random configuration!\",\n\t\t\t\t\t\t\t\te,\n\t\t\t\t\t\t\t\tsample)\n\t\t\tsample = self.configspace.sample_configuration().get_dictionary()\n\t\tself.logger.debug('done sampling a new configuration.')\n\t\treturn sample, info_dict\n\n\n\n\tdef impute_conditional_data(self, array):\n\n\t\treturn_array = np.empty_like(array)\n\n\t\tfor i in range(array.shape[0]):\n\t\t\tdatum = np.copy(array[i])\n\t\t\tnan_indices = np.argwhere(np.isnan(datum)).flatten()\n\n\t\t\twhile (np.any(nan_indices)):\n\t\t\t\tnan_idx = nan_indices[0]\n\t\t\t\tvalid_indices = np.argwhere(np.isfinite(array[:,nan_idx])).flatten()\n\n\t\t\t\tif len(valid_indices) > 0:\n\t\t\t\t\t# pick one of them at random and overwrite all NaN values\n\t\t\t\t\trow_idx = np.random.choice(valid_indices)\n\t\t\t\t\tdatum[nan_indices] = array[row_idx, nan_indices]\n\n\t\t\t\telse:\n\t\t\t\t\t# no good point in the data has this value activated, so fill it with a valid but random value\n\t\t\t\t\tt = self.vartypes[nan_idx]\n\t\t\t\t\tif t == 0:\n\t\t\t\t\t\tdatum[nan_idx] = np.random.rand()\n\t\t\t\t\telse:\n\t\t\t\t\t\tdatum[nan_idx] = np.random.randint(t)\n\n\t\t\t\tnan_indices = np.argwhere(np.isnan(datum)).flatten()\n\t\t\treturn_array[i,:] = datum\n\t\treturn(return_array)\n\n\tdef new_result(self, job, update_model=True):\n\t\t\"\"\"\n\t\t\tfunction to register finished runs\n\n\t\t\tEvery time a run has finished, this function should be called\n\t\t\tto register it with the result logger. If overwritten, make\n\t\t\tsure to call this method from the base class to ensure proper\n\t\t\tlogging.\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tjob: hpbandster.distributed.dispatcher.Job object\n\t\t\t\tcontains all the info about the run\n\t\t\"\"\"\n\n\t\tsuper().new_result(job)\n\n\t\tif job.result is None:\n\t\t\t# One could skip crashed results, but we decided to\n\t\t\t# assign a +inf loss and count them as bad configurations\n\t\t\tloss = np.inf\n\t\telse:\n\t\t\t# same for non numeric losses.\n\t\t\t# Note that this means losses of minus infinity will count as bad!\n\t\t\tloss = job.result[\"loss\"] if np.isfinite(job.result[\"loss\"]) else np.inf\n\n\t\tbudget = job.kwargs[\"budget\"]\n\n\t\tif budget not in self.configs.keys():\n\t\t\tself.configs[budget] = []\n\t\t\tself.losses[budget] = []\n\n\t\t# skip model building if we already have a bigger model\n\t\tif max(list(self.kde_models.keys()) + [-np.inf]) > budget:\n\t\t\treturn\n\n\t\t# We want to get a numerical representation of the configuration in the original space\n\n\t\tconf = ConfigSpace.Configuration(self.configspace, job.kwargs[\"config\"])\n\t\tself.configs[budget].append(conf.get_array())\n\t\tself.losses[budget].append(loss)\n\n\t\t\n\t\t# skip model building:\n\t\t#\t\ta) if not enough points are available\n\t\tif len(self.configs[budget]) <= self.min_points_in_model-1:\n\t\t\tself.logger.debug(\"Only %i run(s) for budget %f available, need more than %s -> can't build model!\"%(len(self.configs[budget]), budget, self.min_points_in_model+1))\n\t\t\treturn\n\n\t\t#\t\tb) during warnm starting when we feed previous results in and only update once\n\t\tif not update_model:\n\t\t\treturn\n\n\t\ttrain_configs = np.array(self.configs[budget])\n\t\ttrain_losses =  np.array(self.losses[budget])\n\n\t\tn_good= max(self.min_points_in_model, (self.top_n_percent * train_configs.shape[0])//100 )\n\t\t#n_bad = min(max(self.min_points_in_model, ((100-self.top_n_percent)*train_configs.shape[0])//100), 10)\n\t\tn_bad = max(self.min_points_in_model, ((100-self.top_n_percent)*train_configs.shape[0])//100)\n\n\t\t# Refit KDE for the current budget\n\t\tidx = np.argsort(train_losses)\n\n\t\ttrain_data_good = self.impute_conditional_data(train_configs[idx[:n_good]])\n\t\ttrain_data_bad  = self.impute_conditional_data(train_configs[idx[n_good:n_good+n_bad]])\n\n\t\tif train_data_good.shape[0] <= train_data_good.shape[1]:\n\t\t\treturn\n\t\tif train_data_bad.shape[0] <= train_data_bad.shape[1]:\n\t\t\treturn\n\t\t\n\t\t#more expensive crossvalidation method\n\t\t#bw_estimation = 'cv_ls'\n\n\t\t# quick rule of thumb\n\t\tbw_estimation = 'normal_reference'\n\n\t\tbad_kde = sm.nonparametric.KDEMultivariate(data=train_data_bad,  var_type=self.kde_vartypes, bw=bw_estimation)\n\t\tgood_kde = sm.nonparametric.KDEMultivariate(data=train_data_good, var_type=self.kde_vartypes, bw=bw_estimation)\n\n\t\tbad_kde.bw = np.clip(bad_kde.bw, self.min_bandwidth,None)\n\t\tgood_kde.bw = np.clip(good_kde.bw, self.min_bandwidth,None)\n\n\t\tself.kde_models[budget] = {\n\t\t\t\t'good': good_kde,\n\t\t\t\t'bad' : bad_kde\n\t\t}\n\n\t\t# update probs for the categorical parameters for later sampling\n\t\tself.logger.debug('done building a new model for budget %f based on %i/%i split\\nBest loss for this budget:%f\\n\\n\\n\\n\\n'%(budget, n_good, n_bad, np.min(train_losses)))\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/config_generators/h2bo.py",
    "content": "import logging\nfrom copy import deepcopy\nimport traceback\n\n\nimport ConfigSpace\nimport ConfigSpace.hyperparameters\nimport ConfigSpace.util\nimport numpy as np\nimport scipy.stats as sps\n\nfrom hpbandster.core.base_config_generator import base_config_generator\nfrom hpbandster.optimizers.kde.mvkde import MultivariateKDE\n\nclass H2BO(base_config_generator):\n\tdef __init__(self, configspace, min_points_in_model = None,\n\t\t\t\t top_n_percent=15, num_samples = 64, random_fraction=1/3,\n\t\t\t\t min_bandwidth=1e-3, bw_estimator='scott', fully_dimensional=True,\n\t\t\t\t**kwargs):\n\t\t\"\"\"\n\t\t\tFits for each given budget a kernel density estimator on the best N percent of the\n\t\t\tevaluated configurations on this budget.\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tconfigspace: ConfigSpace\n\t\t\t\tConfiguration space object\n\t\t\ttop_n_percent: int\n\t\t\t\tDetermines the percentile of configurations that will be used as training data\n\t\t\t\tfor the kernel density estimator, e.g if set to 10 the 10% best configurations will be considered\n\t\t\t\tfor training.\n\t\t\tmin_points_in_model: int\n\t\t\t\tminimum number of datapoints needed to fit a model\n\t\t\tnum_samples: int\n\t\t\t\tnumber of samples drawn to optimize EI via sampling\n\t\t\trandom_fraction: float\n\t\t\t\tfraction of random configurations returned\n\t\t\tbw_estimator: string\n\t\t\t\thow the bandwidths is estimated. Possible values are 'scott' and 'mlcv' for maximum likelihood estimation\n\t\t\tmin_bandwidth: float\n\t\t\t\tto keep diversity, even when all (good) samples have the same value for one of the parameters,\n\t\t\t\ta minimum bandwidth (Default: 1e-3) is used instead of zero. \n\t\t\tfully_dimensional: bool\n\t\t\t\tif true, the KDE is uses factored kernel across all dimensions, otherwise the PDF is a product of 1d PDFs\n\n\t\t\"\"\"\n\t\tsuper().__init__(**kwargs)\n\t\tself.top_n_percent=top_n_percent\n\t\tself.configspace = configspace\n\t\tself.bw_estimator = bw_estimator\n\t\tself.min_bandwidth = min_bandwidth\n\t\tself.fully_dimensional = fully_dimensional\n\n\t\tself.min_points_in_model = min_points_in_model\n\t\tif min_points_in_model is None:\n\t\t\tself.min_points_in_model = len(self.configspace.get_hyperparameters())+1\n\t\t\n\t\t#if self.min_points_in_model < len(self.configspace.get_hyperparameters())+1:\n\t\t#\tself.logger.warning('Invalid min_points_in_model value. Setting it to %i'%(len(self.configspace.get_hyperparameters())+1))\n\t\t#\tself.min_points_in_model =len(self.configspace.get_hyperparameters())+1\n\t\t\n\t\tself.num_samples = num_samples\n\t\tself.random_fraction = random_fraction\n\n\t\tself.configs = dict()\n\t\tself.losses = dict()\n\t\tself.good_config_rankings = dict()\n\t\tself.kde_models = dict()\n\n\n\tdef largest_budget_with_model(self):\n\t\tif len(self.kde_models) == 0:\n\t\t\treturn(-np.inf)\n\t\treturn(max(self.kde_models.keys()))\n\n\tdef get_config(self, budget):\n\t\t\"\"\"\n\t\t\tFunction to sample a new configuration\n\n\t\t\tThis function is called inside Hyperband to query a new configuration\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tbudget: float\n\t\t\t\tthe budget for which this configuration is scheduled\n\n\t\t\treturns: config\n\t\t\t\tshould return a valid configuration\n\n\t\t\"\"\"\n\t\tsample = None\n\t\tinfo_dict = {}\n\t\t\n\t\t# If no model is available, sample from prior\n\t\t# also mix in a fraction of random configs\n\t\tif len(self.kde_models.keys()) == 0 or np.random.rand() < self.random_fraction:\n\t\t\tsample =  self.configspace.sample_configuration()\n\t\t\tinfo_dict['model_based_pick'] = False\n\n\n\t\tif sample is None:\n\t\t\ttry:\n\t\t\t\t#import pdb; pdb.set_trace()\n\t\t\t\tsamples = self.kde_models[budget]['good'].sample(self.num_samples)\n\t\t\t\tei = self.kde_models[budget]['good'].pdf(samples)/self.kde_models[budget]['bad'].pdf(samples)\n\t\t\t\t\n\t\t\t\tbest_idx = np.argmax(ei)\n\t\t\t\tbest_vector = samples[best_idx]\n\n\t\t\t\tsample = ConfigSpace.Configuration(self.configspace, vector=best_vector)\n\n\n\t\t\t\tsample = ConfigSpace.util.deactivate_inactive_hyperparameters(\n\t\t\t\t\t\t\tconfiguration_space=self.configspace,\n\t\t\t\t\t\t\tconfiguration=sample.get_dictionary()\n\t\t\t\t\t\t\t)\n\t\t\t\tinfo_dict['model_based_pick'] = True\n\n\t\t\texcept Exception as e:\n\t\t\t\tself.logger.warning((\"=\"*50 + \"\\n\")*3 +\\\n\t\t\t\t\t\t\"Error sampling a configuration!\\n\"+\\\n\t\t\t\t\t\t\"Models for budgets: %s\"%(self.kde_models.keys()) +\\\n\t\t\t\t\t\t\"\\n here is a traceback:\" +\\\n\t\t\t\t\t\ttraceback.format_exc())\n\n\t\t\t\tfor b,l in self.losses.items():\n\t\t\t\t\tself.logger.debug(\"budget: {}\\nlosses:{}\".format(b,l))\n\t\t\t\t\n\t\t\t\tsample =  self.configspace.sample_configuration()\n\t\t\t\tinfo_dict['model_based_pick'] = False\n\t\t\t\t\n\t\treturn sample.get_dictionary(), info_dict\n\n\n\n\tdef impute_conditional_data(self, array):\n\n\t\treturn_array = np.empty_like(array)\n\n\t\tfor i in range(array.shape[0]):\n\t\t\tdatum = np.copy(array[i])\n\t\t\tnan_indices = np.argwhere(np.isnan(datum)).flatten()\n\n\t\t\twhile (np.any(nan_indices)):\n\t\t\t\tnan_idx = nan_indices[0]\n\t\t\t\tvalid_indices = np.argwhere(np.isfinite(array[:,nan_idx])).flatten()\n\n\t\t\t\tif len(valid_indices) > 0:\n\t\t\t\t\t# pick one of them at random and overwrite all NaN values\n\t\t\t\t\trow_idx = np.random.choice(valid_indices)\n\t\t\t\t\tdatum[nan_indices] = array[row_idx, nan_indices]\n\n\t\t\t\telse:\n\t\t\t\t\t# no good point in the data has this value activated, so fill it with a valid but random value\n\t\t\t\t\tt = self.vartypes[nan_idx]\n\t\t\t\t\tif t == 0:\n\t\t\t\t\t\tdatum[nan_idx] = np.random.rand()\n\t\t\t\t\telse:\n\t\t\t\t\t\tdatum[nan_idx] = np.random.randint(t)\n\n\t\t\t\tnan_indices = np.argwhere(np.isnan(datum)).flatten()\n\t\t\treturn_array[i,:] = datum\n\t\treturn(return_array)\n\n\tdef new_result(self, job, update_model=True):\n\t\t\"\"\"\n\t\t\tfunction to register finished runs\n\n\t\t\tEvery time a run has finished, this function should be called\n\t\t\tto register it with the result logger. If overwritten, make\n\t\t\tsure to call this method from the base class to ensure proper\n\t\t\tlogging.\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tjob: hpbandster.distributed.dispatcher.Job object\n\t\t\t\tcontains all the info about the run\n\t\t\"\"\"\n\n\t\tsuper().new_result(job)\n\n\t\tif job.result is None:\n\t\t\t# One could skip crashed results, but we decided \n\t\t\t# assign a +inf loss and count them as bad configurations\n\t\t\tloss = np.inf\n\t\telse:\n\t\t\tloss = job.result[\"loss\"]\n\n\t\tbudget = job.kwargs[\"budget\"]\n\n\t\tif budget not in self.configs.keys():\n\t\t\tself.configs[budget] = []\n\t\t\tself.losses[budget] = []\n\t\n\t\t\t\n\t\tif len(self.configs.keys()) == 1:\n\t\t\tmin_num_points = 6\n\t\telse:\n\t\t\tmin_num_points = self.min_points_in_model\n\n\n\t\t# skip model building if we already have a bigger model\n\t\tif max(list(self.kde_models.keys()) + [-np.inf]) > budget:\n\t\t\treturn\n\n\t\t# We want to get a numerical representation of the configuration in the original space\n\n\t\tconf = ConfigSpace.Configuration(self.configspace, job.kwargs[\"config\"]).get_array().tolist()\n\t\t\n\t\t\t\n\t\t#import pdb; pdb.set_trace()\n\t\t\n\t\t\n\t\tif conf in self.configs[budget]:\n\t\t\ti = self.configs[budget].index(conf)\n\t\t\tself.losses[budget][i].append(loss)\n\t\t\tprint('-'*50)\n\t\t\tprint('ran config %s with loss %f again'%(conf, loss))\n\t\telse:\n\t\t\tself.configs[budget].append(conf)\n\t\t\tself.losses[budget].append([loss])\n\n\t\t\n\t\t# skip model building:\n\t\t#\t\ta) if not enough points are available\n\t\t\n\t\ttmp = np.array([np.mean(r) for r in self.losses[budget]])\n\t\tif np.sum(np.isfinite(tmp)) < min_num_points:\n\t\t\tself.logger.debug(\"Only %i successful run(s) for budget %f available, need more than %s -> can't build model!\"%(np.sum(np.isfinite(tmp)), budget, min_num_points))\n\t\t\treturn\n\n\t\t#\t\tb) during warnm starting when we feed previous results in and only update once\n\t\tif not update_model:\n\t\t\treturn\n\n\n\n\t\tif budget not in self.kde_models.keys():\n\t\t\tself.kde_models[budget] = {\n\t\t\t\t'good': MultivariateKDE(self.configspace, min_bandwidth=self.min_bandwidth, fully_dimensional=self.fully_dimensional),\n\t\t\t\t'bad' : MultivariateKDE(self.configspace, min_bandwidth=self.min_bandwidth, fully_dimensional=self.fully_dimensional)\n\t\t\t}\t\n\n\n\t\t#import pdb; pdb.set_trace()\n\t\tnum_configs = len(self.losses[budget])\n\t\t\n\t\ttrain_configs = np.array(self.configs[budget][-num_configs:])\n\t\ttrain_losses =  np.array(list(map(np.mean, self.losses[budget][-num_configs:])))\n\n\t\tn_good= max(3,(num_configs * self.top_n_percent) // 100)\n\t\tn_bad = num_configs-n_good\n\n\t\t# Refit KDE for the current budget\n\t\tidx = np.argsort(train_losses)\n\n\t\ttrain_data_good = self.impute_conditional_data(train_configs[idx[:n_good]])\n\t\ttrain_data_bad  = self.impute_conditional_data(train_configs[idx[n_good:n_good+n_bad+1]])\n\n\n\t\tself.kde_models[budget]['bad'].fit(train_data_bad, bw_estimator=self.bw_estimator)\n\t\tself.kde_models[budget]['good'].fit(train_data_good, bw_estimator=self.bw_estimator)\n\t\t\n\t\t\n\t\tif self.bw_estimator in ['mlcv'] and n_good < 3:\n\t\t\tself.kde_models[budget]['good'].bandwidths[:] = self.kde_models[budget]['bad'].bandwidths\n\n\t\t# update probs for the categorical parameters for later sampling\n\t\tself.logger.debug('done building a new model for budget %f based on %i/%i split\\nBest loss for this budget:%f\\n\\n\\n\\n\\n'%(budget, n_good, n_bad, np.min(train_losses)))\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/config_generators/kde.py",
    "content": "import ConfigSpace\nimport numpy as np\nimport scipy.stats as sps\nimport statsmodels.api as sm\n\nfrom hpbandster.config_generators.base import base_config_generator\n\n\nclass KernelDensityEstimator(base_config_generator):\n\t\n\tdef __init__(self, configspace, top_n_percent=10, update_after_n_points=50,\n\t\t\t\t min_points_in_model = None,\n\t\t\t\t *kwargs):\n\t\t\"\"\"\n\t\t\tFits for each given budget a kernel density estimator on the best N percent of the\n\t\t\tevaluated configurations on this budget.\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tconfigspace: ConfigSpace\n\t\t\t\tConfiguration space object\n\t\t\ttop_n_percent: int\n\t\t\t\tDetermines the percentile of configurations that will be used as training data\n\t\t\t\tfor the kernel density estimator, e.g if set to 10 the 10% best configurations will be considered\n\t\t\t\tfor training.\n\t\t\tupdate_after_n_points: int\n\t\t\t\tSpecifies after how many new observed points the kernel density will be retrained.\n\t\t\tmin_points_in_model: int\n\t\t\t\tminimum number of datapoints needed to fit a model\n\n\t\t\"\"\"\n\t\tsuper(KernelDensityEstimator, self).__init__(**kwargs)\n\n\t\tself.top_n_percent = top_n_percent\n\t\tself.update_after_n_points = update_after_n_points\n\t\tself.configspace = configspace\n\t\t\n\t\tself.min_points_in_model = min_points_in_model\n\t\tif min_points_in_model is None:\n\t\t\tself.min_points_in_model = len(self.configspace.get_hyperparameters())+1\n\n\n\t\t# TODO: so far we only consider continuous configuration spaces\n\t\tself.var_type = \"c\" * len(self.configspace.get_hyperparameters())\n\t\tself.configs = dict()\n\t\tself.losses = dict()\n\t\tself.kde_models = dict()\n\t\t\n\tdef get_config(self, budget):\n\t\t\"\"\"\n\t\t\tFunction to sample a new configuration\n\n\t\t\tThis function is called inside Hyperband to query a new configuration\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tbudget: float\n\t\t\t\tthe budget for which this configuration is scheduled\n\n\t\t\treturns: config\n\t\t\t\tshould return a valid configuration\n\n\t\t\"\"\"\n\t\t# No observations available for this budget sample from the prior\n\t\tif len(self.kde_models.keys()) == 0:\n\t\t\treturn self.configspace.sample_configuration().get_dictionary()\n\t\t# If we haven't seen anything with this budget, we sample from the kde trained on the highest budget\n\t\tif budget not in self.kde_models.keys():\n\t\t\tbudget = sorted(self.kde_models.keys())[-1]\n\t\t# TODO: This only works in continuous space and with gaussian kernels\n\t\tkde = self.kde_models[budget]\n\t\tidx = np.random.randint(0, len(self.kde_models[budget].data))\n\n\t\tvector = [sps.truncnorm.rvs(-m/bw,(1-m)/bw, loc=m, scale=bw) for m,bw in zip(self.kde_models[budget].data[idx], kde.bw)]\n\t\t\n\t\tif np.any(np.array(vector)>1) or np.any(np.array(vector)<0):\n\t\t\traise RuntimeError(\"truncated normal sampling problems!\")\n\t\t\n\t\tsample = ConfigSpace.Configuration(self.configspace, vector=vector)\n\t\treturn sample.get_dictionary(), {}\n\n\tdef new_result(self, job):\n\t\t\"\"\"\n\t\t\tfunction to register finished runs\n\n\t\t\tEvery time a run has finished, this function should be called\n\t\t\tto register it with the result logger. If overwritten, make\n\t\t\tsure to call this method from the base class to ensure proper\n\t\t\tlogging.\n\n\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\tjob_id: dict\n\t\t\t\ta dictionary containing all the info about the run\n\t\t\tjob_result: dict\n\t\t\t\tcontains all the results of the job, i.e. it's a dict with\n\t\t\t\tthe keys 'loss' and 'info'\n\n\t\t\"\"\"\n\n\t\tsuper(KernelDensityEstimator, self).new_result(job)\n\t\tbudget = job.kwargs[\"budget\"]\n\t\tif budget not in self.configs.keys():\n\t\t\tself.configs[budget] = []\n\t\t\tself.losses[budget] = []\n\n\t\t# We want to get a numerical representation of the configuration in the original space\n\t\tconf = ConfigSpace.Configuration(self.configspace, job.kwargs['config'])\n\t\tself.configs[budget].append(conf.get_array())\n\t\tself.losses[budget].append(job.result['result'][\"loss\"])\n\n\n\t\t# Check if we have enough data points to fit a KDE\n\t\tif len(self.configs[budget]) % self.update_after_n_points == 0:\n\t\t\ttrain_configs, train_losses = [], []\n\t\t\n\t\t\ttrain_configs.extend(self.configs[budget])\n\t\t\ttrain_losses.extend(self.losses[budget])\n\n\t\t\tn = int(self.top_n_percent * len(train_configs) / 100.)\n\t\t\t\n\t\t\tremaining_budgets = list(self.configs.keys())\n\t\t\tremaining_budgets.remove(budget)\n\t\t\tremaining_budgets.sort(reverse=True)\n\n\n\t\t\tfor b in remaining_budgets:\n\t\t\t\tif  n >= self.min_points_in_model: break\n\t\t\t\ttrain_configs.extend(self.configs[b])\n\t\t\t\ttrain_losses.extend(self.losses[b])\n\t\t\t\tn = int(self.top_n_percent * len(train_configs) / 100.)\n\n\t\t\tif  len(train_losses) < self.min_points_in_model:\n\t\t\t\treturn\n\t\t\t\n\t\t\tn = max(self.min_points_in_model, n)\n\t\t\t\n\t\t\t# Refit KDE for the current budget\n\t\t\tidx = np.argsort(train_losses)\n\n\t\t\ttrain_data = (np.array(train_configs)[idx])[:n]\n\t\t\tself.kde_models[budget] = sm.nonparametric.KDEMultivariate(data=train_data,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t var_type=self.var_type,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t bw='cv_ls')\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/config_generators/lcnet.py",
    "content": "import ConfigSpace\nimport numpy as np\nimport threading\n\nfrom robo.models.lcnet import LCNet, get_lc_net\n\nfrom hpbandster.core.base_config_generator import base_config_generator\n\n\ndef smoothing(lc):\n    new_lc = []\n    curr_best = np.inf\n    for i in range(len(lc)):\n        if lc[i] < curr_best:\n            curr_best = lc[i]\n        new_lc.append(curr_best)\n    return new_lc\n\n\nclass LCNetWrapper(base_config_generator):\n    def __init__(self,\n                 configspace,\n                 max_budget,\n                 n_points=2000,\n                 delta=1.0,\n                 n_candidates=1024,\n                 **kwargs):\n        \"\"\"\n        Parameters:\n        -----------\n\n        directory: string\n            where the results are logged\n        logger: hpbandster.utils.result_logger_v??\n            the logger to store the data, defaults to v1\n        overwrite: bool\n            whether or not existing data will be overwritten\n\n        \"\"\"\n\n        super(LCNetWrapper, self).__init__(**kwargs)\n\n        self.n_candidates = n_candidates\n        self.model = LCNet(sampling_method=\"sghmc\",\n                           l_rate=np.sqrt(1e-4),\n                           mdecay=.05,\n                           n_nets=100,\n                           burn_in=500,\n                           n_iters=3000,\n                           get_net=get_lc_net,\n                           precondition=True)\n\n        self.config_space = configspace\n        self.max_budget = max_budget\n        self.train = None\n        self.train_targets = None\n        self.n_points = n_points\n        self.is_trained = False\n        self.counter = 0\n        self.delta = delta\n        self.lock = threading.Lock()\n\n    def get_config(self, budget):\n        \"\"\"\n            function to sample a new configuration\n\n            This function is called inside Hyperband to query a new configuration\n\n\n            Parameters:\n            -----------\n            budget: float\n                the budget for which this configuration is scheduled\n\n            returns: config\n                should return a valid configuration\n\n        \"\"\"\n        self.lock.acquire()\n        if not self.is_trained:\n            c = self.config_space.sample_configuration().get_array()\n        else:\n            candidates = np.array([self.config_space.sample_configuration().get_array()\n                                   for _ in range(self.n_candidates)])\n\n            # We are only interested on the asymptotic value\n            projected_candidates = np.concatenate((candidates, np.ones([self.n_candidates, 1])), axis=1)\n\n            # Compute the upper confidence bound of the function at the asymptote\n            m, v = self.model.predict(projected_candidates)\n\n            ucb_values = m + self.delta * np.sqrt(v)\n            print(ucb_values)\n            # Sample a configuration based on the ucb values\n            p = np.ones(self.n_candidates) * (ucb_values / np.sum(ucb_values))\n            idx = np.random.choice(self.n_candidates, 1, False, p)\n\n            c = candidates[idx][0]\n\n        config = ConfigSpace.Configuration(self.config_space, vector=c)\n\n        self.lock.release()\n        return config.get_dictionary(), {}\n\n    def new_result(self, job):\n        \"\"\"\n            function to register finished runs\n\n            Every time a run has finished, this function should be called\n            to register it with the result logger. If overwritten, make\n            sure to call this method from the base class to ensure proper\n            logging.\n\n\n            Parameters:\n            -----------\n            job_id: dict\n                a dictionary containing all the info about the run\n            job_result: dict\n                contains all the results of the job, i.e. it's a dict with\n                the keys 'loss' and 'info'\n\n        \"\"\"\n        super().new_result(job)\n\n        conf = ConfigSpace.Configuration(self.config_space, job.kwargs['config']).get_array()\n\n        epochs = len(job.result[\"info\"][\"learning_curve\"])\n        budget = int(job.kwargs[\"budget\"])\n\n        t_idx = np.linspace(budget / epochs, budget, epochs) / self.max_budget\n        x_new = np.repeat(conf[None, :], t_idx.shape[0], axis=0)\n\n        x_new = np.concatenate((x_new, t_idx[:, None]), axis=1)\n\n        # Smooth learning curve\n        lc = smoothing(job.result[\"info\"][\"learning_curve\"])\n\n        # Flip learning curves since LC-Net wants increasing curves\n        lc_new = [1 - y for y in lc]\n\n        if self.train is None:\n            self.train = x_new\n            self.train_targets = lc_new\n        else:\n            self.train = np.append(self.train, x_new, axis=0)\n            self.train_targets = np.append(self.train_targets, lc_new, axis=0)\n\n        if self.counter >= self.n_points:\n\n            self.lock.acquire()\n            y_min = np.min(self.train_targets)\n            y_max = np.max(self.train_targets)\n\n            train_targets = (self.train_targets - y_min) / (y_max - y_min)\n\n            self.model.train(self.train, train_targets)\n            self.is_trained = True\n            self.counter = 0\n            self.lock.release()\n\n        else:\n            self.counter += epochs\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/config_generators/random_sampling.py",
    "content": "from hpbandster.core.base_config_generator import base_config_generator\n\n\n\n\nclass RandomSampling(base_config_generator):\n    \"\"\"\n        class to implement random sampling from a ConfigSpace\n    \"\"\"\n\n    def __init__(self, configspace, **kwargs):\n        \"\"\"\n\n        Parameters:\n        -----------\n\n        configspace: ConfigSpace.ConfigurationSpace\n            The configuration space to sample from. It contains the full\n            specification of the Hyperparameters with their priors\n        **kwargs:\n            see  hyperband.config_generators.base.base_config_generator for additional arguments\n        \"\"\"\n\n        super().__init__(**kwargs)\n        self.configspace = configspace\n\n\n    def get_config(self, budget):\n        return(self.configspace.sample_configuration().get_dictionary(), {})\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/h2bo.py",
    "content": "import os\nimport time\nimport math\nimport copy\nimport logging\n\nimport numpy as np\n\n\nimport ConfigSpace as CS\n\nfrom hpbandster.core.master import Master\nfrom hpbandster.optimizers.iterations import SuccessiveHalving\nfrom hpbandster.optimizers.config_generators.h2bo import H2BO as CG_H2BO\n\nclass H2BO(Master):\n\tdef __init__(self,\n\t\t\t\t\tconfigspace = None,\n\t\t\t\t\teta=3, min_budget=0.01, max_budget=1,\n\t\t\t\t\tmin_points_in_model = None,\ttop_n_percent=15,\n\t\t\t\t\tnum_samples = 32, random_fraction=1/3, bandwidth_factor=1,\n\t\t\t\t\tmin_bandwidth=1e-3,bw_estimator='scott',fully_dimensional=True,\n\t\t\t\t\t**kwargs\n\t\t\t\t\t):\n\t\t\"\"\"\n\n\t\tParameters\n\t\t----------\n\t\tconfigspace: ConfigSpace object\n\t\t\tvalid representation of the search space\n\t\teta : float\n\t\t\tIn each iteration, a complete run of sequential halving is executed. In it,\n\t\t\tafter evaluating each configuration on the same subset size, only a fraction of\n\t\t\t1/eta of them 'advances' to the next round.\n\t\t\tMust be greater or equal to 2.\n\t\tmin_budget : float\n\t\t\tThe smallest budget to consider. Needs to be positive!\n\t\tmax_budget : float\n\t\t\tthe largest budget to consider. Needs to be larger than min_budget!\n\t\t\tThe budgets will be geometrically distributed $\\sim \\eta^k$ for\n\t\t\t$k\\in [0, 1, ... , num_subsets - 1]$.\n\t\tmin_points_in_model: int\n\t\t\tnumber of observations to start building a KDE. Default 'None' means\n\t\t\tdim+1, the bare minimum.\n\t\ttop_n_percent: int\n\t\t\tpercentage ( between 1 and 99, default 15) of the observations that are considered good.\n\t\tnum_samples: int\n\t\t\tnumber of samples to optimize EI (default 64)\n\t\trandom_fraction: float\n\t\t\tfraction of purely random configurations that are sampled from the\n\t\t\tprior without the model.\n\t\tbw_estimator: str\n\t\t\tcontrols the way the bandwidths are estimator. For 'scott' a quick rule of thumb based\n\t\t\ton the empirical variance is used, for 'mlvc' the likelihood based on \n\t\t\tleave on out cross validation is maximized.\n\t\tmin_bandwidth: float\n\t\t\tto keep diversity, even when all (good) samples have the same value for one of the parameters,\n\t\t\ta minimum bandwidth (Default: 1e-3) is used instead of zero. \n\t\titeration_kwargs: dict\n\t\t\tkwargs to be added to the instantiation of each iteration\n\t\tfully_dimensional: bool\n\t\t\tif true, the KDE is uses factored kernel across all dimensions, otherwise the PDF is a product of 1d PDFs\n\t\t\"\"\"\n\n\n\n\t\t# TODO: Propper check for ConfigSpace object!\n\t\tif configspace is None:\n\t\t\traise ValueError(\"You have to provide a valid CofigSpace object\")\n\n\n\n\t\tcg = CG_H2BO( configspace = configspace,\n\t\t\t\t\tmin_points_in_model = min_points_in_model,\n\t\t\t\t\ttop_n_percent=top_n_percent,\n\t\t\t\t\tnum_samples = num_samples,\n\t\t\t\t\trandom_fraction=random_fraction,\n\t\t\t\t\tbw_estimator=bw_estimator,\n\t\t\t\t\tmin_bandwidth = min_bandwidth,\n\t\t\t\t\tfully_dimensional=fully_dimensional\n\t\t\t\t\t)\n\n\t\tsuper().__init__(config_generator=cg, **kwargs)\n\n\t\t# Hyperband related stuff\n\t\tself.eta = eta\n\t\tself.min_budget = min_budget\n\t\tself.max_budget = max_budget\n\t\t\n\t\t\n\t\t# precompute some HB stuff\n\t\tself.max_SH_iter = -int(np.log(min_budget/max_budget)/np.log(eta)) + 1\n\t\tself.budgets = max_budget * np.power(eta, -np.linspace(self.max_SH_iter-1, 0, self.max_SH_iter))\n\n\n\n\t\t# max total budget for one iteration\n\t\tself.budget_per_iteration = sum([b*self.eta**i for i, b in enumerate(self.budgets[::-1])])\n\t\t\n\t\tself.config.update({\n\t\t\t\t\t\t'eta'        : eta,\n\t\t\t\t\t\t'min_budget' : min_budget,\n\t\t\t\t\t\t'max_budget' : max_budget,\n\t\t\t\t\t\t'budgets'    : self.budgets,\n\t\t\t\t\t\t'max_SH_iter': self.max_SH_iter,\n\t\t\t\t\t\t'min_points_in_model' : min_points_in_model,\n\t\t\t\t\t\t'top_n_percent' : top_n_percent,\n\t\t\t\t\t\t'num_samples' : num_samples,\n\t\t\t\t\t\t'random_fraction' : random_fraction,\n\t\t\t\t\t\t'min_bandwidth': min_bandwidth,\n\t\t\t\t\t\t'bw_estimator': bw_estimator,\n\t\t\t\t\t\t'fully_dimensional': fully_dimensional,\n\t\t\t\t\t})\n\n\tdef get_next_iteration(self, iteration, iteration_kwargs={}):\n\t\t\"\"\"\n\t\t\tBO-HB uses (just like Hyperband) SuccessiveHalving for each iteration.\n\t\t\tSee Li et al. (2016) for reference.\n\t\t\t\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\t\titeration: int\n\t\t\t\t\tthe index of the iteration to be instantiated\n\n\t\t\tReturns:\n\t\t\t--------\n\t\t\t\tSuccessiveHalving: the SuccessiveHalving iteration with the\n\t\t\t\t\tcorresponding number of configurations\n\t\t\"\"\"\n\t\t\n\t\tmin_budget = max( self.min_budget, self.config_generator.largest_budget_with_model())\n\t\tmax_budget = self.max_budget\n\t\teta = self.eta\n\n\t\t# precompute some HB stuff\n\t\tmax_SH_iter = -int(np.log(min_budget/max_budget)/np.log(eta)) + 1\n\t\tbudgets = max_budget * np.power(eta, -np.linspace(max_SH_iter-1, 0, max_SH_iter))\n\n\t\t\n\t\t# number of 'SH rungs'\n\t\ts = max_SH_iter - 1\n\t\t# number of configurations in that bracket\n\t\tn0 = int(np.floor((self.max_SH_iter)/(s+1)) * eta**s)\n\t\tns = np.array([max(int(n0*(eta**(-i))), 1) for i in range(s+1)])\n\t\t\n\t\twhile (ns * budgets[-s-1:]).sum() <= self.budget_per_iteration:\n\t\t    n0 += 1\n\t\t    ns = np.array([max(int(n0*(eta**(-i))), 1) for i in range(s+1)])\n\t\t\n\t\tn0 -= 1\n\t\tns = np.array([max(int(n0*(eta**(-i))), 1) for i in range(s+1)])\n\t\t\n\t\tassert (ns * budgets[-s-1:]).sum() <= self.budget_per_iteration, 'Sampled iteration exceeds the budget per iteration!'\n\t\t\n\t\treturn(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=budgets, config_sampler=self.config_generator.get_config, **iteration_kwargs))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/hyperband.py",
    "content": "import os\nimport time\nimport math\nimport pdb\nimport copy\nimport logging\n\nimport numpy as np\n\n\nimport ConfigSpace as CS\n\nfrom hpbandster.core.master import Master\nfrom hpbandster.optimizers.iterations import SuccessiveHalving\nfrom hpbandster.optimizers.config_generators import RandomSampling\n\nclass HyperBand(Master):\n\tdef __init__(self, configspace = None,\n\t\t\t\t\teta=3, min_budget=0.01, max_budget=1,\n\t\t\t\t\t**kwargs ):\n\t\t\"\"\"\n                Hyperband implements hyperparameter optimization by sampling\n                candidates at random and \"trying\" them first, running them for\n                a specific budget. The approach is iterative, promising\n                candidates are run for a longer time, increasing the fidelity\n                for their performance. While this is a very efficient racing\n                approach, random sampling makes no use of the knowledge gained\n                about the candidates during optimization.\n\n\t\tParameters\n\t\t----------\n\t\tconfigspace: ConfigSpace object\n\t\t\tvalid representation of the search space\n\t\teta : float\n\t\t\tIn each iteration, a complete run of sequential halving is executed. In it,\n\t\t\tafter evaluating each configuration on the same subset size, only a fraction of\n\t\t\t1/eta of them 'advances' to the next round.\n\t\t\tMust be greater or equal to 2.\n\t\tmin_budget : float\n\t\t\tThe smallest budget to consider. Needs to be positive!\n\t\tmax_budget : float\n\t\t\tthe largest budget to consider. Needs to be larger than min_budget!\n\t\t\tThe budgets will be geometrically distributed $\\sim \\eta^k$ for\n\t\t\t$k\\in [0, 1, ... , num_subsets - 1]$.\n\t\t\"\"\"\n\n\n\t\t# TODO: Propper check for ConfigSpace object!\n\t\tif configspace is None:\n\t\t\traise ValueError(\"You have to provide a valid CofigSpace object\")\n\n\t\tsuper().__init__(config_generator=RandomSampling(configspace), **kwargs)\n\n\t\t# Hyperband related stuff\n\t\tself.eta = eta\n\t\tself.min_budget = min_budget\n\t\tself.max_budget = max_budget\n\n\t\t# precompute some HB stuff\n\t\tself.max_SH_iter = -int(np.log(min_budget/max_budget)/np.log(eta)) + 1\n\t\tself.budgets = max_budget * np.power(eta, -np.linspace(self.max_SH_iter-1, 0, self.max_SH_iter))\n\n\t\tself.config.update({\n\t\t\t\t\t\t'eta'        : eta,\n\t\t\t\t\t\t'min_budget' : min_budget,\n\t\t\t\t\t\t'max_budget' : max_budget,\n\t\t\t\t\t\t'budgets'    : self.budgets,\n\t\t\t\t\t\t'max_SH_iter': self.max_SH_iter,\n\t\t\t\t\t})\n\n\n\n\tdef get_next_iteration(self, iteration, iteration_kwargs={}):\n\t\t\"\"\"\n\t\tHyperband uses SuccessiveHalving for each iteration.\n\t\tSee Li et al. (2016) for reference.\n\t\t\n\t\tParameters\n\t\t----------\n\t\t\titeration: int\n\t\t\t\tthe index of the iteration to be instantiated\n\n\t\tReturns\n\t\t-------\n\t\t\tSuccessiveHalving: the SuccessiveHalving iteration with the\n\t\t\t\tcorresponding number of configurations\n\t\t\"\"\"\n\t\t\n\t\t# number of 'SH rungs'\n\t\ts = self.max_SH_iter - 1 - (iteration%self.max_SH_iter)\n\t\t# number of configurations in that bracket\n\t\tn0 = int(np.floor((self.max_SH_iter)/(s+1)) * self.eta**s)\n\t\tns = [max(int(n0*(self.eta**(-i))), 1) for i in range(s+1)]\n\n\t\treturn(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=self.budgets[(-s-1):], config_sampler=self.config_generator.get_config, **iteration_kwargs))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/iterations/__init__.py",
    "content": "from hpbandster.optimizers.iterations.successivehalving import SuccessiveHalving\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/iterations/successivehalving.py",
    "content": "from hpbandster.core.base_iteration import BaseIteration\nimport numpy as np\n\n\nclass SuccessiveHalving(BaseIteration):\n\n\tdef _advance_to_next_stage(self, config_ids, losses):\n\t\t\"\"\"\n\t\t\tSuccessiveHalving simply continues the best based on the current loss.\n\t\t\"\"\"\n\t\tranks = np.argsort(np.argsort(losses))\n\t\treturn(ranks < self.num_configs[self.stage])\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/iterations/successiveresampling.py",
    "content": "import sys\n\nfrom hpbandster.iterations.base import BaseIteration\n\nimport numpy as np\n\n\nclass SuccessiveResampling(BaseIteration):\n\t\n\tdef __init__(self, *args, resampling_rate = 0.5, min_samples_advance = 1, **kwargs):\n\t\t\"\"\"\n\t\t\tIteration class to resample new configurations along side keeping the good ones\n\t\t\tin SuccessiveHalving.\n\t\t\t\n\t\t\tParameters:\n\t\t\t-----------\n\t\t\t\tresampling_rate: float\n\t\t\t\t\tfraction of configurations that are resampled at each stage\n\t\t\t\tmin_samples_advance:int\n\t\t\t\t\tnumber of samples that are guaranteed to proceed to the next\n\t\t\t\t\tstage regardless of the fraction.\n\t\t\n\t\t\"\"\"\n\t\tself.resampling_rate = resampling_rate\n\t\tself.min_samples_advance = min_samples_advance\n\n\n\tdef _advance_to_next_stage(self, config_ids, losses):\n\t\t\"\"\"\n\t\t\tSuccessiveHalving simply continues the best based on the current loss.\n\t\t\"\"\"\n\t\t\n\t\tranks = np.argsort(np.argsort(losses))\n\t\treturn(ranks < max(self.min_samples_advance, self.num_configs[self.stage] * (1-self.resampling_rate)) )\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/kde/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/kde/kernels.py",
    "content": "import numpy as np\nimport scipy.optimize as spo\n\nimport ConfigSpace as CS\n\nfrom scipy.special import erf\n\nfrom pdb import set_trace\n\n\nclass BaseKernel(object):\n\tdef __init__(self, data=None, bandwidth=None, fix_boundary=False, num_values=None):\n\t\t\n\t\tself.data = data\n\t\tself.bw = bandwidth\n\t\tself.fix_boundary=fix_boundary\n\t\t\n\t\tif num_values is None:\n\t\t\tnum_values = len(np.unique(data))\n\t\tself.num_values = num_values\n\t\t\n\t\tif not data is None:\n\t\t\tself.weights = self._compute_weights()\t\n\n\tdef set_bandwidth(self, bandwidth):\n\t\tself.bw = bandwidth\n\t\tself.weights = self._compute_weights()\n\n\tdef _compute_weights(self):\n\t\treturn(1.)\n\n\tdef __call__(self, x_test):\n\t\traise NotImplementedError\n\n\tdef sample(self, sample_indices=None, num_samples=1):\n\t\traise NotImplementedError\n\n\nclass Gaussian(BaseKernel):\n\n\tdef _compute_weights(self):\n\t\tif not self.fix_boundary:\n\t\t\treturn(1.)\n\n\t\tweights = np.zeros(self.data.shape[0])\n\t\tfor i,d in enumerate(self.data):\n\t\t\tweights[i] = 2./(erf((1-d)/(np.sqrt(2)*self.bw)) + erf(d/(np.sqrt(2)*self.bw)))\n\t\t\n\t\treturn(weights[:,None])\n\t\t\n\tdef __call__(self, x_test):\n\t\tdistances = x_test[None,:] - self.data[:,None]\n\t\tpdfs = np.exp(-0.5* np.power(distances/self.bw, 2))/(2.5066282746310002 * self.bw)\n\t\t\n\t\t# reweigh to compensate for boundaries\n\t\tpdfs *= self.weights\n\t\t\n\t\treturn(pdfs)\n\n\tdef sample(self, sample_indices=None, num_samples=1):\n\t\t\"\"\" returns samples according to the KDE\n\t\t\n\t\t\tParameters\n\t\t\t----------\n\t\t\t\tsample_inices: list of ints\n\t\t\t\t\tIndices into the training data used as centers for the samples\n\t\t\t\t\n\t\t\t\tnum_samples: int\n\t\t\t\t\tif samples_indices is None, this specifies how many samples\n\t\t\t\t\tare drawn.\n\t\t\t\t\n\t\t\"\"\"\n\t\tif sample_indices is None:\n\t\t\tsample_indices = np.random.choice(self.data.shape[0], size=num_samples)\n\n\t\tsamples = self.data[sample_indices]\n\n\t\tdelta = np.random.normal(size=num_samples)*self.bw\n\t\tsamples += delta\n\t\toob_idx  = np.argwhere(np.logical_or(samples > 1, samples < 0)).flatten()\n\n\t\twhile len(oob_idx) > 0:\n\t\t\tsamples[oob_idx] -= delta[oob_idx]\t\t# revert move\n\t\t\tdelta[oob_idx] = np.random.normal(size=len(oob_idx))*self.bw\n\t\t\tsamples[oob_idx] += delta[oob_idx]\n\t\t\toob_idx = oob_idx[np.argwhere(np.logical_or(samples[oob_idx] > 1, samples[oob_idx] < 0))].flatten()\n\n\t\treturn(samples)\n\nclass AitchisonAitken(BaseKernel):\n\tdef __call__(self, x_test):\n\t\tdistances = np.rint(x_test[None,:] - self.data[:,None])\n\n\t\tidx = np.abs(distances) == 0\n\t\tdistances[idx] = 1 - self.bw\n\t\tdistances[~idx] = self.bw/(self.num_values-1)\n\t\t\n\t\treturn(distances)\n\n\n\tdef sample(self, sample_indices=None, num_samples=1):\n\t\t\"\"\" returns samples according to the KDE\n\t\t\n\t\t\tParameters\n\t\t\t----------\n\t\t\t\tsample_inices: list of ints\n\t\t\t\t\tIndices into the training data used as centers for the samples\n\t\t\t\t\n\t\t\t\tnum_samples: int\n\t\t\t\t\tif samples_indices is None, this specifies how many samples\n\t\t\t\t\tare drawn.\n\t\t\t\t\n\t\t\"\"\"\n\t\tif sample_indices is None:\n\t\t\tsample_indices = np.random.choice(self.data.shape[0], size=num_samples)\n\t\tsamples = self.data[sample_indices]\n\n\t\tsamples = samples.squeeze()\n\t\t\n\t\tif self.num_values == 1:\n\t\t\t# handle cases where there is only one value!\n\t\t\treturn(samples)\n\t\t\n\t\tprobs = self.bw * np.ones(self.num_values)/(self.num_values-1)\n\t\tprobs[0] = 1-self.bw\n\t\t\n\t\tdelta = np.random.choice(self.num_values, size=num_samples, p = probs)\n\t\tsamples = np.mod(samples + delta, self.num_values)\t\n\n\t\treturn(samples)\n\nclass WangRyzinOrdinal(BaseKernel):\n\t\t\n\tdef _compute_weights(self):\n\t\tif not self.fix_boundary:\n\t\t\treturn(1.)\n\t\tnp.zeros(self.data.shape[0])\n\t\tself.weights=1.\n\t\tx_test = np.arange(self.num_values)\n\t\tpdfs  = self.__call__(x_test)\n\t\tweights = 1./pdfs.sum(axis=1)[:,None]\n\t\treturn(weights)\n\t\t\n\tdef __call__(self, x_test):\n\t\tdistances = x_test[None,:] - self.data[:,None]\n\n\t\tidx = np.abs(distances) < .1 # distances smaller than that are considered zero\n\t\t\n\t\tpdfs = np.zeros_like(distances, dtype=np.float)\n\t\tpdfs[idx] = (1-self.bw)\n\t\tpdfs[~idx] = 0.5*(1-self.bw) * np.power(self.bw, np.abs(distances[~idx]))\n\t\t# reweigh to compensate for boundaries\n\t\tpdfs *= self.weights\n\n\t\treturn(pdfs)\n\n\tdef sample(self, sample_indices=None, num_samples=1):\n\t\t\"\"\" returns samples according to the KDE\n\t\t\n\t\t\tParameters\n\t\t\t----------\n\t\t\t\tsample_inices: list of ints\n\t\t\t\t\tIndices into the training data used as centers for the samples\n\t\t\t\t\n\t\t\t\tnum_samples: int\n\t\t\t\t\tif samples_indices is None, this specifies how many samples\n\t\t\t\t\tare drawn.\n\t\t\t\t\n\t\t\"\"\"\n\t\tif sample_indices is None:\n\t\t\tsample_indices = np.random.choice(self.data.shape[0], size=num_samples)\n\t\tsamples = self.data[sample_indices]\n\n\t\tpossible_steps = np.arange(-self.num_values+1,self.num_values)\n\t\tidx = (np.abs(possible_steps) < 1e-2)\n\t\t\n\t\tps = 0.5*(1-self.bw) * np.power(self.bw, np.abs(possible_steps))\n\t\tps[idx] = (1-self.bw)\n\t\tps /= ps.sum()\n\t\t\n\t\tdelta = np.zeros_like(samples)\n\t\toob_idx = np.arange(samples.shape[0])\n\n\t\twhile len(oob_idx) > 0:\n\t\t\tsamples[oob_idx] -= delta[oob_idx]\t\t# revert move\n\t\t\tdelta[oob_idx] = np.random.choice(possible_steps, size=len(oob_idx), p=ps)\n\t\t\tsamples[oob_idx] += delta[oob_idx]\n\t\t\t#import pdb; pdb.set_trace()\n\t\t\toob_idx = oob_idx[np.argwhere(np.logical_or(samples[oob_idx] > self.num_values-0.9, samples[oob_idx] < -0.1)).flatten()]\n\t\treturn(np.rint(samples))\n\nclass WangRyzinInteger(BaseKernel):\n\tdef _compute_weights(self):\n\t\tif not self.fix_boundary:\n\t\t\treturn(1.)\n\t\tweights = np.zeros(self.data.shape[0], dtype=np.float)\n\t\tx_test = np.linspace(1/(2*self.num_values), 1-(1/(2*self.num_values)), self.num_values, endpoint=True)\n\t\tself.weights = 1.\n\t\tpdfs  = self.__call__(x_test)\n\t\tweights = 1./pdfs.sum(axis=1)[:,None]\n\t\treturn(weights)\n\t\t\n\tdef __call__(self, x_test):\n\t\tdistances = (x_test[None,:] - self.data[:,None])\n\t\t\n\t\tpdfs = np.zeros_like(distances, dtype=np.float)\n\n\t\tidx = np.abs(distances) < 1/(3*self.num_values) # distances smaller than that are considered zero\n\t\tpdfs[idx] = (1-self.bw)\n\t\tpdfs[~idx] = 0.5*(1-self.bw) * np.power(self.bw, np.abs(distances[~idx])*self.num_values)\n\t\t# reweigh to compensate for boundaries\n\t\tpdfs *= self.weights\n\t\t\t\t\n\t\treturn(pdfs)\n\n\tdef sample(self, sample_indices=None, num_samples=1):\n\t\t\"\"\" returns samples according to the KDE\n\t\t\n\t\t\tParameters\n\t\t\t----------\n\t\t\t\tsample_inices: list of ints\n\t\t\t\t\tIndices into the training data used as centers for the samples\n\t\t\t\t\n\t\t\t\tnum_samples: int\n\t\t\t\t\tif samples_indices is None, this specifies how many samples\n\t\t\t\t\tare drawn.\n\t\t\t\t\n\t\t\"\"\"\n\t\tif sample_indices is None:\n\t\t\tsample_indices = np.random.choice(self.data.shape[0], size=num_samples)\n\t\tsamples = self.data[sample_indices]\n\n\t\tpossible_steps = np.arange(-self.num_values+1,self.num_values) / self.num_values\n\t\tps = 0.5*(1-self.bw) * np.power(self.bw, np.abs(possible_steps))\n\t\tps[self.num_values-1] = (1-self.bw)\n\t\tps /= ps.sum()\n\t\t\n\t\tdelta = np.zeros_like(samples)\n\t\toob_idx = np.arange(samples.shape[0])\n\n\t\twhile len(oob_idx) > 0:\n\t\t\tsamples[oob_idx] -= delta[oob_idx]\t\t# revert move\n\t\t\tdelta[oob_idx] = np.random.choice(possible_steps, size=len(oob_idx), p=ps)\n\t\t\tsamples[oob_idx] += delta[oob_idx]\n\t\t\toob_idx = oob_idx[np.argwhere(np.logical_or(samples[oob_idx] > 1-1/(3*self.num_values), samples[oob_idx] < 1/(3*self.num_values))).flatten()]\n\n\t\t\n\t\treturn(samples)\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/kde/mvkde.py",
    "content": "import numpy as np\nimport scipy.optimize as spo\n\nimport ConfigSpace as CS\n\nfrom hpbandster.optimizers.kde.kernels import Gaussian, AitchisonAitken, WangRyzinOrdinal, WangRyzinInteger\n\n\nclass MultivariateKDE(object):\n\tdef __init__(self, configspace, fully_dimensional=True, min_bandwidth=1e-4, fix_boundary=True):\n\t\t\"\"\"\n\t\tParameters:\n\t\t-----------\n\t\t\tconfigspace: ConfigSpace.ConfigurationSpace object\n\t\t\t\tdescription of the configuration space\n\t\t\tfully_dimensional: bool\n\t\t\t\tif True, a true multivariate KDE is build, otherwise it's approximated by\n\t\t\t\tthe product of one dimensional KDEs\n\t\t\t\t\n\t\t\tmin_bandwidth: float\n\t\t\t\ta lower limit to the bandwidths which can insure 'uncertainty'\n\t\t\n\t\t\"\"\"\n\t\tself.configspace = configspace\n\t\tself.types, self.num_values = self._get_types()\n\t\tself.min_bandwidth=min_bandwidth\n\t\tself.fully_dimensional=fully_dimensional\n\t\tself.fix_boundary = fix_boundary\n\t\t\n\t\t\n\t\t# precompute bandwidth bounds\n\t\tself.bw_bounds = []\n\t\t\n\t\tmax_bw_cont=0.5\n\t\tmax_bw_cat = 0.999\n\t\t\n\t\tfor t in self.types:\n\t\t\tif t == 'C':\n\t\t\t\tself.bw_bounds.append((min_bandwidth, max_bw_cont))\n\t\t\telse:\n\t\t\t\tself.bw_bounds.append((min_bandwidth, max_bw_cat))\n\t\t\n\t\tself.bw_clip = np.array([ bwb[1] for bwb in self.bw_bounds ])\n\n\t\t# initialize other vars\n\t\tself.bandwidths = np.array([float('NaN')]*len(self.types))\n\t\tself.kernels = []\n\t\tfor t,n in zip(self.types, self.num_values):\n\t\t\t\n\t\t\tkwargs = {'num_values':n, 'fix_boundary':fix_boundary}\n\t\t\t\n\t\t\tif t == 'I':\tself.kernels.append(WangRyzinInteger(**kwargs))\n\t\t\tif t == 'C':\tself.kernels.append(Gaussian(**kwargs))\n\t\t\tif t == 'O':\tself.kernels.append(WangRyzinOrdinal(**kwargs))\n\t\t\tif t == 'U':\tself.kernels.append(AitchisonAitken(**kwargs))\t\t\t\n\t\tself.data = None\n\t\t\n\t\n\t\n\tdef fit(self, data, weights=None, bw_estimator='scott', efficient_bw_estimation=True, update_bandwidth=True):\n\t\t\"\"\"\n\t\t\tfits the KDE to the data by estimating the bandwidths and storing the data\n\t\t\t\n\t\t\tParameters\n\t\t\t----------\n\t\t\t\tdata: 2d-array, shape N x M\n\t\t\t\t\tN datapoints in an M dimensional space to which the KDE is fit\n\t\t\t\tweights: 1d array\n\t\t\t\t\tN weights, one for every data point.\n\t\t\t\t\tThey will be normalized to sum up to one\n\t\t\t\tfix_boundary_effects: bool\n\t\t\t\t\twhether to reweigh points close to the bondary no fix the pdf\n\t\t\t\tbw_estimator: str\n\t\t\t\t\tallowed values are 'scott' and 'mlcv' for Scott's rule of thumb\n\t\t\t\t\tand the maximum likelihood via cross-validation\n\t\t\t\tefficient_bw_estimation: bool\n\t\t\t\t\tif true, start bandwidth optimization from the previous value, otherwise\n\t\t\t\t\tstart from Scott's values\n\t\t\t\tupdate_bandwidths: bool\n\t\t\t\t\twhether to update the bandwidths at all\n\t\t\"\"\"\n\t\t\n\t\tif self.data is None:\n\t\t\t# overwrite some values in case this is the first fit of the KDE\n\t\t\tefficient_bw_estimation = False\n\t\t\tupdate_bandwidth=True\n\n\t\tself.data = np.asfortranarray(data)\n\t\tfor i,k in enumerate(self.kernels):\n\t\t\t\tself.kernels[i].data = self.data[:,i]\n\n\t\tself.weights = self._normalize_weights(weights)\n\n\t\tif not update_bandwidth:\n\t\t\treturn\n\t\t\n\t\tif not efficient_bw_estimation or bw_estimator == 'scott':\n\t\t\t# inspired by the the statsmodels code\n\t\t\tsigmas = np.std(self.data, ddof=1, axis=0)\n\t\t\tIQRs = np.subtract.reduce(np.percentile(self.data, [75,25], axis=0))\n\t\t\tself.bandwidths = 1.059 * np.minimum(sigmas, IQRs) * np.power(self.data.shape[0], -0.2)\n\t\t\t# crop bandwidths for categorical parameters\n\t\t\tself.bandwidths = np.clip(self.bandwidths , self.min_bandwidth, self.bw_clip)\n\t\t\t\n\t\tif bw_estimator == 'mlcv':\n\t\t\t# optimize bandwidths here\n\t\t\tdef opt_me(bw):\n\t\t\t\tself.bandwidths=bw\n\t\t\t\tself._set_kernel_bandwidths()\n\t\t\t\treturn(self.loo_negloglikelihood())\n\t\t\t\n\t\t\tres = spo.minimize(opt_me, self.bandwidths, bounds=self.bw_bounds, method='SLSQP')\n\t\t\tself.optimizer_result = res\n\t\t\tself.bandwidths[:] = res.x\n\t\tself._set_kernel_bandwidths()\n\n\tdef _set_kernel_bandwidths(self):\n\t\tfor i,b in enumerate(self.bandwidths):\n\t\t\tself.kernels[i].set_bandwidth(b)\n\n\n\tdef set_bandwidths(self, bandwidths):\n\t\tself.bandwidths[:] = bandwidths\n\t\tself._set_kernel_bandwidths()\n\n\tdef _normalize_weights(self, weights):\n\t\t\n\t\tweights = np.ones(self.data.shape[0]) if weights is None else weights\n\t\tweights /= weights.sum()\n\t\t\n\t\treturn(weights)\n\n\n\tdef _individual_pdfs(self, x_test):\n\t\n\t\tpdfs = np.zeros(shape=[x_test.shape[0], self.data.shape[0], self.data.shape[1]], dtype=np.float)\n\n\t\tfor i, k in enumerate(self.kernels):\n\t\t\tpdfs[:,:,i] = k(x_test[:,i]).T\n\t\t\n\t\treturn(pdfs)\n\n\n\tdef loo_negloglikelihood(self):\n\t\t# get all pdf values of the training data (including 'self interaction')\n\t\tpdfs = self._individual_pdfs(self.data)\n\t\t\n\t\t# get indices to remove diagonal values for LOO part :)\n\t\tindices = np.diag_indices(pdfs.shape[0])\n\n\t\t# combine values based on fully_dimensional!\n\t\tif self.fully_dimensional:\n\t\t\tpdfs[indices] = 0 # remove self interaction\t\t\n\t\t\t\n\t\t\tpdfs2 = np.sum(np.prod(pdfs, axis=-1), axis=-1)\n\t\t\tsm_return_value = -np.log(pdfs2).sum()\n\t\t\tpdfs = np.prod(pdfs, axis=-1)\n\t\t\t\n\t\t\t# take weighted average (accounts for LOO!)\n\t\t\tlhs = np.sum(pdfs*self.weights, axis=-1)/(1-self.weights)\n\t\telse:\n\t\t\t#import pdb; pdb.set_trace()\n\t\t\tpdfs[indices] = 0 # we sum first so 0 is the appropriate value\n\t\t\tpdfs *= self.weights[:,None,None]\n\t\t\t\n\t\t\tpdfs = pdfs.sum(axis=-2)/(1-self.weights[:,None])\n\t\t\tlhs = np.prod(pdfs, axis=-1)\n\t\t\t\n\t\treturn(-np.sum(self.weights*np.log(lhs)))\n\n\n\tdef pdf(self, x_test):\n\t\t\"\"\"\n\t\t\tComputes the probability density function at all x_test\n\t\t\"\"\"\n\t\tN,D = self.data.shape\n\t\tx_test = np.asfortranarray(x_test)\n\t\tx_test = x_test.reshape([-1, D])\n\t\t\n\t\tpdfs = self._individual_pdfs(x_test)\n\t\t#import pdb; pdb.set_trace()\n\t\t# combine values based on fully_dimensional!\n\t\tif self.fully_dimensional:\n\t\t\t# first the product of the individual pdfs for each point in the data across dimensions and then the average (factorized kernel)\n\t\t\tpdfs = np.sum(np.prod(pdfs, axis=-1)*self.weights[None, :], axis=-1)\n\t\telse:\n\t\t\t# first the average over the 1d pdfs and the the product over dimensions (TPE like factorization of the pdf)\n\t\t\tpdfs = np.prod(np.sum(pdfs*self.weights[None,:,None], axis=-2), axis=-1)\n\t\treturn(pdfs)\n\n\n\tdef sample(self, num_samples=1):\n\t\t\n\t\t\n\t\tsamples = np.zeros([num_samples, len(self.types)], dtype=np.float)\n\n\t\tif self.fully_dimensional:\n\t\t\tsample_indices = np.random.choice(self.data.shape[0], size=num_samples)\n\t\t\t\n\t\telse:\n\t\t\tsample_indices=None\n\n\t\tfor i,k in enumerate(self.kernels):\n\t\t\tsamples[:,i] = k.sample(sample_indices, num_samples)\n\n\n\t\treturn(samples)\n\t\t\n\n\tdef _get_types(self):\n\t\t\"\"\" extracts the needed types from the configspace for faster retrival later\n\t\t\n\t\t\ttype = 0 - numerical (continuous or integer) parameter\n\t\t\ttype >=1 - categorical parameter\n\t\t\t\n\t\t\tTODO: figure out a way to properly handle ordinal parameters\n\t\t\n\t\t\"\"\"\n\t\ttypes = []\n\t\tnum_values = []\n\t\tfor hp in self.configspace.get_hyperparameters():\n\t\t\t#print(hp)\n\t\t\tif isinstance(hp, CS.CategoricalHyperparameter):\n\t\t\t\ttypes.append('U')\n\t\t\t\tnum_values.append(len(hp.choices))\n\t\t\telif isinstance(hp, CS.UniformIntegerHyperparameter):\n\t\t\t\ttypes.append('I')\n\t\t\t\tnum_values.append((hp.upper - hp.lower + 1))\n\t\t\telif isinstance(hp, CS.UniformFloatHyperparameter):\n\t\t\t\ttypes.append('C')\n\t\t\t\tnum_values.append(np.inf)\n\t\t\telif isinstance(hp, CS.OrdinalHyperparameter):\n\t\t\t\ttypes.append('O')\n\t\t\t\tnum_values.append(len(hp.sequence))\n\t\t\telse:\n\t\t\t\traise ValueError('Unsupported Parametertype %s'%type(hp))\n\t\treturn(types, num_values)\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/lcnet.py",
    "content": "import os\nimport time\nimport math\nimport copy\nimport logging\n\nimport numpy as np\n\nimport ConfigSpace as CS\n\nfrom hpbandster.core.master import Master\nfrom hpbandster.optimizers.iterations import SuccessiveHalving\nfrom hpbandster.optimizers.config_generators.lcnet import LCNetWrapper as CG_LCNet\n# from hpbandster.optimizers.config_generators import RandomSampling\n\n\nclass LCNet(Master):\n    def __init__(self, configspace=None,\n                 eta=3, min_budget=0.01, max_budget=1,\n                 min_points_in_model=None, top_n_percent=15,\n                 num_samples=64, random_fraction=1 / 3, bandwidth_factor=3,\n                 min_bandwidth=1e-3, n_points=200, n_candidates=1024, delta=1,\n                 **kwargs):\n        \"\"\"\n\n        Parameters\n        ----------\n        configspace: ConfigSpace object\n            valid representation of the search space\n        eta : float\n            In each iteration, a complete run of sequential halving is executed. In it,\n            after evaluating each configuration on the same subset size, only a fraction of\n            1/eta of them 'advances' to the next round.\n            Must be greater or equal to 2.\n        min_budget : float\n            The smallest budget to consider. Needs to be positive!\n        max_budget : float\n            the largest budget to consider. Needs to be larger than min_budget!\n            The budgets will be geometrically distributed $\\sim \\eta^k$ for\n            $k\\in [0, 1, ... , num_subsets - 1]$.\n        min_points_in_model: int\n            number of observations to start building a KDE. Default 'None' means\n            dim+1, the bare minimum.\n        top_n_percent: int\n            percentage ( between 1 and 99, default 15) of the observations that are considered good.\n        num_samples: int\n            number of samples to optimize EI (default 64)\n        random_fraction: float\n            fraction of purely random configurations that are sampled from the\n            prior without the model.\n        bandwidth_factor: float\n            to encourage diversity, the points proposed to optimize EI, are sampled\n            from a 'widened' KDE where the bandwidth is multiplied by this factor (default: 3)\n        min_bandwidth: float\n            to keep diversity, even when all (good) samples have the same value for one of the parameters,\n            a minimum bandwidth (Default: 1e-3) is used instead of zero.\n        iteration_kwargs: dict\n            kwargs to be added to the instantiation of each iteration\n        \"\"\"\n\n        # TODO: Propper check for ConfigSpace object!\n        if configspace is None:\n            raise ValueError(\"You have to provide a valid CofigSpace object\")\n\n        cg = CG_LCNet(configspace=configspace,\n                      max_budget=max_budget,\n                      n_points=n_points,\n                      n_candidates=n_candidates,\n                      delta=delta)\n\n        # cg = RandomSampling(configspace)\n\n        super().__init__(config_generator=cg, **kwargs)\n\n        # Hyperband related stuff\n        self.eta = eta\n        self.min_budget = min_budget\n        self.max_budget = max_budget\n\n        # precompute some HB stuff\n        self.max_SH_iter = -int(np.log(min_budget / max_budget) / np.log(eta)) + 1\n        self.budgets = max_budget * np.power(eta, -np.linspace(self.max_SH_iter - 1, 0, self.max_SH_iter))\n\n        self.config.update({\n            'eta': eta,\n            'min_budget': min_budget,\n            'max_budget': max_budget,\n            'budgets': self.budgets,\n            'max_SH_iter': self.max_SH_iter,\n            'min_points_in_model': min_points_in_model,\n            'top_n_percent': top_n_percent,\n            'num_samples': num_samples,\n            'random_fraction': random_fraction,\n            'bandwidth_factor': bandwidth_factor,\n            'min_bandwidth': min_bandwidth\n        })\n\n    def get_next_iteration(self, iteration, iteration_kwargs={}):\n        \"\"\"\n            BO-HB uses (just like Hyperband) SuccessiveHalving for each iteration.\n            See Li et al. (2016) for reference.\n\n            Parameters:\n            -----------\n                iteration: int\n                    the index of the iteration to be instantiated\n\n            Returns:\n            --------\n                SuccessiveHalving: the SuccessiveHalving iteration with the\n                    corresponding number of configurations\n        \"\"\"\n\n        # number of 'SH rungs'\n        s = self.max_SH_iter - 1 - (iteration % self.max_SH_iter)\n        # number of configurations in that bracket\n        n0 = int(np.floor((self.max_SH_iter) / (s + 1)) * self.eta ** s)\n        ns = [max(int(n0 * (self.eta ** (-i))), 1) for i in range(s + 1)]\n\n        return (SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=self.budgets[(-s - 1):],\n                                  config_sampler=self.config_generator.get_config, **iteration_kwargs))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/learning_curve_models/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/learning_curve_models/arif.py",
    "content": "import sys\nsys.path.append(\"../../\")\n\nimport numpy as np\nfrom sklearn.ensemble import RandomForestRegressor as rfr\n\nfrom hpbandster.learning_curve_models.base import LCModel as lcm_base\n\nfrom IPython import embed\n\nclass ARIF(lcm_base):\n    \"\"\"\n        An 'Auto Regressive Integrated (Random) Forest'\n    \"\"\"\n    def __init__(self, order=2, diff_order=0):\n        \"\"\"\n            Parameters:\n            -----------\n\n            order: int\n                the order of the 'autoregressiveness'\n            diff_order: int\n                the differencing order used\n                TODO: Not used so far!\n        \"\"\"\n        self.order = order\n        self.diff_order = diff_order\n\n    def apply_differencing(self, series, order=None):\n\n        if order is None: order = self.diff_order\n\n        for o in range(order):\n            series = series[1:]-series[:-1] \n        return series\n            \n\n    def invert_differencing(self, initial_part, differenced_rest, order=None):\n        \"\"\"\n            function to invert the differencing\n        \"\"\"\n\n        if order is None: order = self.diff_order\n\n        # compute the differenced values of the initial part:\n        starting_points = [ self.apply_differencing(initial_part, order=order)[-1] for order in range(self.diff_order)]\n        \n        actual_predictions = differenced_rest\n        import pdb\n        pdb.set_trace()\n        for s in starting_points[::-1]:\n            actual_predictions = np.cumsum(np.hstack([s, actual_predictions]))[1:]\n\n        return(actual_predictions)\n\n    def fit(self, losses, configs=None):\n\n        if configs is None:\n            configs = [[]]*len(times)\n\n        # convert learning curves into X and y data\n\n        X = []\n        y = []\n\n        for l,c in zip(losses, configs):\n            l = self.apply_differencing(l)\n\n            for i in range(self.order, len(l)):\n                X.append(np.hstack([l[i-self.order:i], c]))\n                y.append(l[i])\n\n        self.X = np.array(X)\n        self.y = np.array(y)\n\n\n        self.rfr = rfr().fit(self.X,self.y)\n\n        \n    def extend_partial(self, obs_losses, num_steps, config=None):\n        # TODO: add variance predictions\n        if config is None:\n            config = []\n\n        d_losses = self.apply_differencing(obs_losses)\n\n\n        for t in range(num_steps):\n            x = np.hstack([d_losses[-self.order:], config])\n            y = self.rfr.predict([x])\n            d_losses = np.hstack([d_losses, y])\n\n\n        prediction = self.invert_differencing( obs_losses, d_losses[-num_steps:])\n\n        return(prediction)\n\n\nif __name__ == \"__main__\":\n\n    sys.path.append(\"/home/sfalkner/repositories/bitbucket/learning_curve_prediction\")\n    \n\n    \n    from lc_prediction.utils import load_configs\n    \n    \n    #data = load_configs(\"/home/sfalkner/repositories/bitbucket/learning_curve_prediction/data/conv_net_cifar10\", 256+128)\n    data = load_configs(\"/home/sfalkner/repositories/bitbucket/learning_curve_prediction/data/fc_net_mnist\", 1024)\n    #data = load_configs(\"/home/sfalkner/repositories/bitbucket/learning_curve_prediction/data/lr_mnist\", 1024)\n    \n    data = (data[0], data[1][:,:40])\n    \n    import matplotlib.pyplot as plt\n    \n    #plt.plot(data[1].T)\n    #plt.show()\n    \n    \n    full_lcs =  [ lc for lc in data[1]]\n    \n    T_max = len(full_lcs[0])\n    \n    learning_curves = [ lc[:np.random.randint(lc.shape[0]-8) + 8]for lc in data[1]]\n    #learning_curves = [ lc[:4+ int(np.random.exponential(5))] for lc in data[1]]\n    times = [np.arange(1, lc.shape[0]+1) for lc in learning_curves]\n    \n    lc_model = ARIF(order=3, diff_order=2)\n    \n    \n    \n    test_order = 2\n    random_sequence = np.random.rand(5)\n    tmp = lc_model.apply_differencing(random_sequence, order=test_order)\n    \n    for i in range(test_order+1):\n        print(lc_model.apply_differencing(random_sequence, order=i))\n    reconstruction = lc_model.invert_differencing(random_sequence[:1+test_order], tmp, order=test_order)\n    \n    embed()\n    \n    \n    \n    lc_model.fit(learning_curves, data[0])\n    \n    for i in range(16):\n        pred_times = range(times[i][-1]+1, T_max)\n        #pred = lc_model.extend_partial(learning_curves[i], min(10, T_max - len(learning_curves[i])), config=data[0][i])\n        pred = lc_model.extend_partial(learning_curves[i], T_max - len(learning_curves[i]), config=data[0][i])\n        plt.plot(full_lcs[i])\n        plt.plot(range(len(learning_curves[i]), len(learning_curves[i])+ len(pred)), pred, '--')\n    plt.show()\n    \n    embed()\n    \n    \n    \n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/learning_curve_models/base.py",
    "content": "class LCModel():\n    \"\"\"\n        base class for simple learning curve models\n    \"\"\"\n    \n    def fit(self, times, losses, configs=None):\n        \"\"\"\n            function to train the model on the observed data\n\n            Parameters:\n            -----------\n\n            times: list\n                list of numpy arrays of the timesteps for each curve\n            losses: list\n                list of numpy arrays of the loss (the actual learning curve)\n            configs: list or None\n                list of the configurations for each sample. Each element\n                has to be a numpy array. Set to None, if no configuration\n                information is available.\n        \"\"\"\n        raise NotImplementedError()\n\n\n    def predict_unseen(self, times, config):\n        \"\"\"\n            predict the loss of an unseen configuration\n\n            Parameters:\n            -----------\n\n            times: numpy array\n                times where to predict the loss\n            config: numpy array\n                the numerical representation of the config\n\n            Returns:\n            --------\n            \n            mean and variance prediction at input times for the given config\n        \"\"\"\n        raise NotImplementedError()\n\n\n    def extend_partial(self, times, obs_times, obs_losses, config=None):\n        \"\"\"\n            extends a partially observed curve\n\n            Parameters:\n            -----------\n\n            times: numpy array\n                times where to predict the loss\n            obs_times: numpy array\n                times where the curve has already been observed\n            obs_losses: numpy array\n                corresponding observed losses\n            config: numpy array\n                numerical reperesentation of the config; None if no config\n                information is available\n                \n            Returns:\n            --------\n            \n            mean and variance prediction at input times\n                \n                \n        \"\"\"\n\n    \n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/learning_curve_models/lcnet.py",
    "content": "import numpy as np\n\nfrom hpbandster.learning_curve_models.base import LCModel\n\nfrom robo.models.lcnet import LCNet, get_lc_net\n\n\nclass LCNetWrapper(LCModel):\n    \"\"\"\n        Wrapper around LC-Net\n    \"\"\"\n\n    def __init__(self, max_num_epochs):\n        self.max_num_epochs = max_num_epochs\n        self.model = LCNet(sampling_method=\"sghmc\",\n                           l_rate=np.sqrt(1e-4),\n                           mdecay=.05,\n                           n_nets=100,\n                           burn_in=5000,\n                           n_iters=30000,\n                           get_net=get_lc_net,\n                           precondition=True)\n    \n    def fit(self, times, losses, configs=None):\n        \"\"\"\n            function to train the model on the observed data\n\n            Parameters:\n            -----------\n\n            times: list\n                list of numpy arrays of the timesteps for each curve\n            losses: list\n                list of numpy arrays of the loss (the actual learning curve)\n            configs: list or None\n                list of the configurations for each sample. Each element\n                has to be a numpy array. Set to None, if no configuration\n                information is available.\n        \"\"\"\n\n        assert np.all(times > 0) and np.all(times <= self.max_num_epochs)\n\n        train = None\n        targets = None\n\n        for i in range(len(configs)):\n\n            t_idx = times[i] / self.max_num_epochs\n\n            x = np.repeat(np.array(configs[i])[None, :], t_idx.shape[0], axis=0)\n            x = np.concatenate((x, t_idx[:, None]), axis=1)\n\n            # LCNet assumes increasing curves, if we feed in losses here we have to flip the curves\n            lc = [1 - l for l in losses[i]]\n\n            if train is None:\n                train = x\n                targets = lc\n            else:\n                train = np.concatenate((train, x), 0)\n                targets = np.concatenate((targets, lc), 0)\n\n        self.model.train(train, targets)\n\n    def predict_unseen(self, times, config):\n        \"\"\"\n            predict the loss of an unseen configuration\n\n            Parameters:\n            -----------\n\n            times: numpy array\n                times where to predict the loss\n            config: numpy array\n                the numerical representation of the config\n\n            Returns:\n            --------\n            \n            mean and variance prediction at input times for the given config\n        \"\"\"\n\n        assert np.all(times > 0) and np.all(times <= self.max_num_epochs)\n\n        x = np.array(config)[None, :]\n\n        idx = times / self.max_num_epochs\n        x = np.repeat(x, idx.shape[0], axis=0)\n\n        x = np.concatenate((x, idx[:, None]), axis=1)\n\n        mean, var = self.model.predict(x)\n        return 1 - mean, var\n\n    def extend_partial(self, times, obs_times, obs_losses, config=None):\n        \"\"\"\n            extends a partially observed curve\n\n            Parameters:\n            -----------\n\n            times: numpy array\n                times where to predict the loss\n            obs_times: numpy array\n                times where the curve has already been observed\n            obs_losses: numpy array\n                corresponding observed losses\n            config: numpy array\n                numerical reperesentation of the config; None if no config\n                information is available\n                \n            Returns:\n            --------\n            \n            mean and variance prediction at input times\n                \n                \n        \"\"\"\n        return self.predict_unseen(times, config)\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/optimizers/randomsearch.py",
    "content": "import os\nimport time\nimport math\nimport copy\nimport logging\n\nimport numpy as np\n\n\nimport ConfigSpace as CS\n\nfrom hpbandster.core.master import Master\nfrom hpbandster.optimizers.iterations import SuccessiveHalving\nfrom hpbandster.optimizers.config_generators.random_sampling import RandomSampling as RS\n\nclass RandomSearch(Master):\n\tdef __init__(self, configspace = None,\n\t\t\t\t\teta = 3, min_budget=1, max_budget=1,\n\t\t\t\t\t**kwargs\n\t\t\t\t\t):\n\t\t\"\"\"\n                Implements a random search across the search space for comparison.\n                Candidates are sampled at random and run on the maximum budget.\n\n\t\tParameters\n\t\t----------\n\t\tconfigspace: ConfigSpace object\n\t\t\tvalid representation of the search space\n\t\teta : float\n\t\t\tIn each iteration, a complete run of sequential halving is executed. In it,\n\t\t\tafter evaluating each configuration on the same subset size, only a fraction of\n\t\t\t1/eta of them 'advances' to the next round.\n\t\t\tMust be greater or equal to 2.\n\t\tbudget : float\n\t\t\tbudget for the evaluation\n\t\t\"\"\"\n\n\t\t# TODO: Propper check for ConfigSpace object!\n\t\tif configspace is None:\n\t\t\traise ValueError(\"You have to provide a valid ConfigSpace object\")\n\n\n\n\t\tcg = RS( configspace = configspace )\n\n\t\tsuper().__init__(config_generator=cg, **kwargs)\n\n\t\t# Hyperband related stuff\n\t\tself.eta = eta\n\t\tself.min_budget = max_budget\n\t\tself.max_budget = max_budget\n\t\t\n\t\t\n\t\t# precompute some HB stuff\n\t\tself.max_SH_iter = -int(np.log(min_budget/max_budget)/np.log(eta)) + 1\n\t\tself.budgets = max_budget * np.power(eta, -np.linspace(self.max_SH_iter-1, 0, self.max_SH_iter))\n\n\t\t# max total budget for one iteration\n\t\tself.budget_per_iteration = sum([b*self.eta**i for i, b in enumerate(self.budgets[::-1])])\n\t\t\n\t\tself.config.update({\n\t\t\t\t\t\t'eta'        : eta,\n\t\t\t\t\t\t'min_budget' : max_budget,\n\t\t\t\t\t\t'max_budget' : max_budget,\n\t\t\t\t\t})\n\n\tdef get_next_iteration(self, iteration, iteration_kwargs={}):\n\t\t\"\"\"\n\t\tReturns a SH iteration with only evaluations on the biggest budget\n\t\t\n\t\tParameters\n\t\t----------\n\t\t\titeration: int\n\t\t\t\tthe index of the iteration to be instantiated\n\n\t\tReturns\n\t\t-------\n\t\t\tSuccessiveHalving: the SuccessiveHalving iteration with the\n\t\t\t\tcorresponding number of configurations\n\t\t\"\"\"\n\t\t\n\t\t\n\t\tbudgets = [self.max_budget]\n\t\tns = [self.budget_per_iteration//self.max_budget]\n\t\t\n\t\treturn(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=budgets, config_sampler=self.config_generator.get_config, **iteration_kwargs))\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/utils.py",
    "content": "import os.path\nimport json\nimport threading\n\nimport Pyro4\nimport Pyro4.naming\n\n\nfrom hpbandster.core.result import Result\nfrom hpbandster.core.base_iteration import Datum\n\n\n\ndef nic_name_to_host(nic_name):\n\t\"\"\" translates the name of a network card into a valid host name\"\"\"\n\tfrom netifaces import ifaddresses, AF_INET\n\thost = ifaddresses(nic_name).setdefault(AF_INET, [{'addr': 'No IP addr'}] )[0]['addr']\n\treturn(host)\n\n\n\ndef start_local_nameserver(host=None, port=0, nic_name=None):\n\t\"\"\"\n\t\tstarts a Pyro4 nameserver in a daemon thread\n\t\t\n\t\tParameters:\n\t\t-----------\n\t\t\thost: str\n\t\t\t\tthe hostname to use for the nameserver\n\t\t\tport: int\n\t\t\t\tthe port to be used. Default =0 means a random port\n\t\t\tnic_name: str\n\t\t\t\tname of the network interface to use\n\t\t\n\t\tReturns:\n\t\t--------\n\t\t\ttuple (str, int):\n\t\t\t\tthe host name and the used port\n\t\"\"\"\n\t\n\tif host is None:\n\t\tif nic_name is None:\n\t\t\thost = 'localhost'\n\t\telse:\n\t\t\thost = nic_name_to_host(nic_name)\n\n\turi, ns, _ = Pyro4.naming.startNS(host=host, port=port)\n\thost, port = ns.locationStr.split(':')\n\t\n\t\n\tthread = threading.Thread(target=ns.requestLoop, name='Pyro4 nameserver started by HpBandSter')\n\tthread.daemon=True\n\t\n\tthread.start()\n\treturn(host, int(port))\n\n\n\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/visualization.py",
    "content": "import copy\n\nimport numpy as np\nimport scipy.stats as sps\nimport matplotlib.pyplot as plt\nfrom matplotlib.widgets import CheckButtons,Button\n\n\n\ndef default_tool_tips(result_object, learning_curves, include_run_info=False):\n\n\ttool_tips = {}\n\tid2conf = result_object.get_id2config_mapping()\n\t\n\tfor id in learning_curves.keys():\n\t\t\n\t\tconfig = id2conf[id]['config']\n\t\tconfig_info = id2conf[id]['config_info']\n\n\t\tall_runs =  result_object.get_runs_by_id(id)\n\t\tif len(all_runs) == 0:\n\t\t\tcontinue\n\t\tlongest_run = all_runs[-1]\n\t\n\t\twhile longest_run.loss is None:\n\t\t\tall_runs.pop()\n\t\t\tif len(all_runs) == 0: break\n\t\t\tlongest_run = all_runs[-1]\n\t\t\t\n\t\tif len(all_runs) == 0: continue\n\t\t\n\t\ts = ['id: %s'%str(id), 'duration (sec): %f'%((longest_run['time_stamps']['finished'] - longest_run['time_stamps']['started']))]\n\n\t\tif not longest_run.loss is None:\n\t\t\ts += [str(k) + \"=\" +str(v) for k,v in sorted(id2conf[id]['config'].items()) ]\n\t\t\ttry:\n\t\t\t\ts += [str(k) + \"=\" +str(v) for k,v in sorted(id2conf[id]['config_info'].items()) ]\n\t\t\texcept:\n\t\t\t\tpass\n\t\t\t\n\t\t\ts += ['losses: {}'.format([r.loss for r in all_runs])]\n\t\t\tif include_run_info:\n\t\t\t\ts += ['longest run info: {}'.format(longest_run.info)]\n\t\t\t\n\t\ttool_tips[id] = \"\\n\".join(s)\n\treturn(tool_tips)\n\ndef concurrent_runs_over_time(runs, num_points = 512, show=False):\n\t\n\tdata = np.array([(r.time_stamps['started'], r.time_stamps['finished']) for r in runs])\n\tts = np.linspace(data.min(), data.max(), 512)\n\tn_workers = np.array([ ((data[:,0] <= t)*(data[:,1]>t)).sum() for t in ts])\n\n\tfig, ax = plt.subplots()\n\tax.plot(ts, n_workers)\n\tax.set_xlabel('time [s]')\n\tax.set_ylabel('number of concurent runs')\n\t\n\tif show:\n\t\tplt.show()\n\treturn(fig, ax)\n\n\ndef finished_runs_over_time(runs, show=False):\n\tbudgets = set([r.budget for r in runs])\n\t\n\ttimes = {}\n\tfor b in budgets:\n\t\ttimes[b] = [0]\n\t\n\tfor r in runs:\n\t\ttimes[r.budget].append(r.time_stamps['finished'])\n\t\n\tfor b in budgets:\n\t\ttimes[b].sort()\n\t\n\t\n\tfig, ax = plt.subplots()\n\n\tfor b in budgets:\n\t\tax.plot(times[b], np.arange(len(times[b])), label='b = %f'%b)\n\n\n\tax.set_xlabel('time [s]')\n\tax.set_ylabel('number of finished runs')\n\tax.legend()\n\t\n\tif show:\n\t\tplt.show()\n\treturn(fig,ax)\n\ndef performance_histogram_model_vs_random(runs, id2conf, show=False):\n\tmodel_based_runs = list(filter(lambda r: id2conf[r.config_id]['config_info']['model_based_pick'], runs))\n\trandom_runs = list(filter(lambda r: not id2conf[r.config_id]['config_info']['model_based_pick'], runs))\n\n\tbudgets = list(set([r.budget for r in runs]))\n\tbudgets.sort()\n\n\tlosses = {}\n\tfor b in budgets:\n\t\tlosses[b] = {'model_based': [], 'random': []}\n\n\tfor r in model_based_runs:\n\t\tif r.loss is None or not np.isfinite(r.loss):\n\t\t\tcontinue\n\t\tlosses[r.budget]['model_based'].append(r.loss)\n\n\tfor r in random_runs:\n\t\tif r.loss is None or not np.isfinite(r.loss):\n\t\t\tcontinue\n\t\tlosses[r.budget]['random'].append(r.loss)\n\n\tfig, axarr = plt.subplots(len(budgets), 2, sharey='row', sharex='row')\n\tplt.suptitle('Loss of model based configurations (left) vs. random configuration (right)')\n\n\tfor i,b in enumerate(budgets):\n\t\tmbax, rax = axarr[i]\n\t\tmbax.hist(losses[b]['model_based'], label='b = %f \\n n = %i'%(b,len(losses[b]['model_based'])))\n\t\tmbax.set_ylabel('frequency')\n\t\tmbax.legend()\n\t\t\n\t\t\n\t\t\n\t\trax.hist(losses[b]['random'],label='b = %f \\n n = %i'%(b,len(losses[b]['random'])))\n\t\trax.legend()\n\t\t\n\t\t\n\t\tif i == len(budgets)-1:\n\t\t\tmbax.set_xlabel('loss')\n\t\t\trax.set_xlabel('loss')\n\tif show:\t\t\n\t\tplt.show()\n\t\t\n\treturn(fig, axarr)\n\n\ndef correlation_across_budgets(results_object, show=False):\n\t\n\truns = results_object.get_all_runs()\n\tid2conf = results_object.get_id2config_mapping()\n\n\tbudgets = list(set([r.budget for r in runs]))\n\tbudgets.sort()\n\n\timport itertools\n\n\tloss_pairs = {}\n\tfor b in budgets[:-1]:\n\t\tloss_pairs[b] = {}\n\n\tfor b1,b2 in itertools.combinations(budgets, 2):\n\t\tloss_pairs[b1][b2]= []\n\n\tfor cid in id2conf.keys():\n\t\truns = results_object.get_runs_by_id(cid)\n\t\tif len(runs) < 2: continue\n\t\t\n\t\tfor r1,r2 in itertools.combinations(runs,2):\n\t\t\tif r1.loss is None or r2.loss is None: continue\n\t\t\tif not np.isfinite(r1.loss) or not np.isfinite(r2.loss): continue\n\t\t\tloss_pairs[float(r1.budget)][float(r2.budget)].append((r1.loss, r2.loss))\n\t\t\n\t\t\n\n\trhos = np.eye(len(budgets)-1)\n\trhos.fill(np.nan)\n\n\tps = np.eye(len(budgets)-1)\n\tps.fill(np.nan)\n\n\tfor i in range(len(budgets)-1):\n\t\tfor j in range(i+1,len(budgets)):\n\t\t\tspr = sps.spearmanr(loss_pairs[budgets[i]][budgets[j]])\n\t\t\trhos[i][j-1] = spr.correlation\n\t\t\tps[i][j-1] = spr.pvalue\n\n\n\tfig, ax = plt.subplots()\n\n\tcax = ax.matshow(rhos, vmin=-1, vmax=1)\n\tfig.colorbar(cax)\n\n\n\tax.set_yticks( range(len(budgets)-1))\n\tax.set_yticklabels(budgets[:-1],)\n\n\tax.set_xticks( range(len(budgets)-1))\n\tax.set_xticklabels(budgets[1:],)\n\t\n\tax.set_title('Rank correlation of the loss across the budgets')\n\n\tfor i in range(len(budgets)-1):\n\t\tfor j in range(i+1,len(budgets)):\n\t\t\tplt.text(j-1,i, r'$\\rho_{spearman}= %f$'%rhos[i][j-1] + '\\n' + r'$p = %f$'%ps[i][j-1] + '\\n' + r'$n = %i$'%len(loss_pairs[budgets[i]][budgets[j]]),\n\t\t\t\t\t\thorizontalalignment='center', verticalalignment='center')\n\n\tif show:\n\t\tplt.show()\n\treturn(fig,ax)\n\n\n\ndef losses_over_time(runs, get_loss_from_run_fn = lambda r: r.loss, cmap = plt.get_cmap(\"tab10\"), show=False):\n\n\tbudgets = set([r.budget for r in runs])\n\n\tdata = {}\n\tfor b in budgets:\n\t\tdata[b] = []\n\n\tfor r in runs:\n\t\tif r.loss is None:\n\t\t\tcontinue\n\t\tb = r.budget\n\t\tt = r.time_stamps['finished']\n\t\tl = get_loss_from_run_fn(r)\n\t\tdata[b].append((t,l))\n\n\tfor b in budgets:\n\t\tdata[b].sort()\n\n\n\tfig, ax = plt.subplots()\n\n\tfor i, b in enumerate(budgets):\n\t\tdata[b] = np.array(data[b])\n\t\tax.scatter(data[b][:,0], data[b][:,1], color=cmap(i), label='b=%f'%b)\n\t\t\n\t\tax.step(data[b][:,0], np.minimum.accumulate(data[b][:,1]), where='post')\n\n\tax.set_title('Losses for different budgets over time')\n\tax.set_xlabel('wall clock time [s]')\n\tax.set_ylabel('loss')\n\tax.legend()\n\tif show:\n\t\tplt.show()\n\treturn(fig,ax)\n\n\n\n\n\ndef interactive_HBS_plot(learning_curves, tool_tip_strings=None,log_y=False, log_x=False, reset_times=False, color_map='Set3', colors_floats=None, title='', show=True):\n\n\ttimes, losses, config_ids, = [], [], []\n\n\tfor k,v in learning_curves.items():\n\t\tfor l in v:\n\t\t\tif len(l) == 0: continue\n\t\t\ttmp = list(zip(*l))\n\t\t\ttry:\n\t\t\t\ttimes.append(tmp[0])\n\t\t\t\tlosses.append(tmp[1])\n\t\t\t\tconfig_ids.append(k)\n\t\t\texcept:\n\t\t\t\timport pdb; pdb.set_trace()\n\n\n\n\tnum_curves = len(times)\n\tHB_iterations = [id[0] for id in config_ids]\n\t\n\tnum_iterations = len(set(HB_iterations))\n\t\n\tcmap = plt.get_cmap(color_map)\n\t\n\n\t\n\tif reset_times:\n\t\ttimes = [np.array(ts) - ts[0] for ts in times]\n\t\n\t\n\tif colors_floats is None:\n\t\tcolor_floats = []\n\t\tfor i in range(num_curves):\n\t\t\tseed = 100*np.abs(config_ids[i][0]) + 10*config_ids[i][1] + config_ids[i][2]\n\t\t\tnp.random.seed(seed)\n\t\t\tcolor_floats.append(np.random.rand())\n\n\tfig, ax = plt.subplots()\n\t\n\tlines = [[] for i in range(num_iterations)]\n\n\titeration_labels  = list(range(num_iterations))\n\tif HB_iterations[-1] == -1:\n\t\titeration_labels[-1] = 'warmstart data'\n\t\n\t\n\n\tall_lines = []\n\t\n\tfor i in range(num_curves):\n\t\tl, = ax.plot(times[i], losses[i], color=cmap(color_floats[i]), marker='o', gid=i, picker=True)\n\t\tlines[HB_iterations[i]].append(l)\n\t\tall_lines.append(l)\n\n\tif log_y:\n\t\tplt.yscale('log')\n\n\tax.set_title(title)\n\n\thover_annotation = ax.annotate(\"BLABLA\", xy=(0,0), xytext=(20,20),textcoords=\"offset points\",\n\t\t\t\t\tbbox=dict(boxstyle=\"round\", fc=\"w\"),\n\t\t\t\t\tarrowprops=dict(arrowstyle=\"->\"))\n\thover_annotation.set_visible(False)\n\n\n\tpermanent_annotations = {}\n\n\n\tplt.subplots_adjust(left=0.2)\n\trax = plt.axes([0.05, 0.1, 0.1, 0.8])\n\n\t\n\taxnone = plt.axes([0.05, 0, 0.05, 0.1])\n\taxall = plt.axes([0.1, 0, 0.05  , 0.1])\n\t\t\n\tcheck = CheckButtons(rax, iteration_labels, [True for i in range(num_iterations)])\n\t\n\tnone_button = Button(axnone, 'None')\n\tall_button = Button(axall, 'All')\n\t\n\n\tdef change_visibility(label, value=None):\n\t\tif label == 'warmstart data':\n\t\t\tindex = -1\n\t\telse:\n\t\t\tindex = int(label)\n\t\t\n\t\tif value is None:\n\t\t\tvalue = not lines[index][0].get_visible()\n\t\t[l.set_visible(value) for l in lines[index]]\n\t\tplt.draw()\n\n\t\t\n\tdef show_all(event):\n\t\tfor label in range(num_iterations):\n\t\t\tif not lines[label][0].get_visible():\n\t\t\t\tchange_visibility(label, False)\n\t\t\t\tcheck.set_active(label)\n\n\tdef hide_all(event):\n\t\tfor label in range(num_iterations):\n\t\t\tif lines[label][0].get_visible():\n\t\t\t\tchange_visibility(label, True)\n\t\t\t\tcheck.set_active(label)\n\t\t\t\n\tcheck.on_clicked(change_visibility)\n\tnone_button.on_clicked(hide_all)\n\tall_button.on_clicked(show_all)\n\n\n\tdef update_hover_annotation(line, annotation=hover_annotation):\n\t\txdata = line.get_xdata()\n\t\tydata = line.get_ydata()\n\t\tidx = line.get_gid()        \n\t\tannotation.xy = (xdata[-1], ydata[-1])\n\n\t\tif not tool_tip_strings is None:\n\t\t\tannotation.set_text(tool_tip_strings[config_ids[idx]])\n\t\telse:\n\t\t\tannotation.set_text(str(config_ids[idx]))\n\n\t\tfig.canvas.draw_idle()\n\n\tdef onpick1(event):\n\n\t\tline = event.artist\n\n\t\tif not line in all_lines:\n\t\t\treturn\n\t\t\n\t\tgid = line.get_gid()\n\n\t\tif gid in permanent_annotations:\n\t\t\t# remove permanent annotation\n\t\t\tpermanent_annotations[gid].set_visible(False)\n\t\t\tdel permanent_annotations[gid]\n\t\t\tfig.canvas.draw_idle()\n\n\t\telse:\n\t\t\t# add a new annotation\n\n\t\t\txdata = line.get_xdata()\n\t\t\tydata = line.get_ydata()\n\t\t\tidx = line.get_gid()\n\n\t\t\tif not tool_tip_strings is None:\n\t\t\t\ttext = tool_tip_strings[config_ids[idx]]\n\t\t\telse:\n\t\t\t\ttext = str(config_ids[idx])\n\t\t\t\n\t\t\tpermanent_annotations[gid] = ax.annotate(text, copy.deepcopy((xdata[-1],ydata[-1])),\n\t\t\t\t\t\t\txytext=(20,20),textcoords=\"offset points\",\n\t\t\t\t\t\t\tbbox=dict(boxstyle=\"round\", fc=\"w\", linewidth=3),\n\t\t\t\t\t\t\tarrowprops=dict(arrowstyle=\"->\"))\n\t\t\tpermanent_annotations[gid].draggable()\n\t\t\tfig.canvas.draw_idle()            \n\n\tdef hover(event):\n\t\tvis = hover_annotation.get_visible()\n\t\tif event.inaxes == ax:\n\t\t\tactive_lines = list(filter(lambda l: l.contains(event)[0], all_lines))\n\t\t\tif len(active_lines) > 0:\n\t\t\t\thover_annotation.set_visible(True)\n\t\t\t\tupdate_hover_annotation(active_lines[0])\n\t\t\telif vis:\n\t\t\t\thover_annotation.set_visible(False)\n\t\t\t\tfig.canvas.draw_idle()\n\n\n\n\tfig.canvas.mpl_connect('pick_event', onpick1)\n\tfig.canvas.mpl_connect(\"motion_notify_event\", hover)\n\n\n\tif show:\n\t\tplt.show()\n\treturn(fig, ax, check, none_button, all_button)\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/workers/__init__.py",
    "content": "\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster/workers/hpolibbenchmark.py",
    "content": "\nimport ConfigSpace as CS\nfrom hpbandster.core.worker import Worker\n\nclass HPOlib2Worker(Worker):\n\tdef __init__(self,benchmark, configspace=None, budget_name='budget', budget_preprocessor=None, measure_test_loss=False, config_as_array=True, **kwargs):\n\t\t\n\t\tsuper().__init__(**kwargs)\n\t\tself.benchmark = benchmark\n\t\t\n\t\tif configspace is None:\n\t\t\tself.configspace = benchmark.get_configuration_space()\n\t\telse:\n\t\t\tself.configspace = configspace\n\t\t\n\t\tself.budget_name=budget_name\n\n\t\tif budget_preprocessor is None:\n\t\t\tself.budget_preprocessor = lambda b: b\n\t\telse:\n\t\t\tself.budget_preprocessor = budget_preprocessor\n\n\t\tself.config_as_array = config_as_array\n\n\t\tself.measure_test_loss = measure_test_loss\n\n\tdef compute(self, config, budget, **kwargs):\n\n\t\tif self.config_as_array:\n\t\t\tc = CS.Configuration(self.configspace, values=config)\n\t\telse:\n\t\t\tc = config\n\t\t\n\t\tkwargs = {self.budget_name: self.budget_preprocessor(budget)}\n\t\tres = self.benchmark.objective_function(c, **kwargs)\n\t\tif self.measure_test_loss:\n\t\t\tdel kwargs[self.budget_name]\n\t\t\tres['test_loss'] = self.benchmark.objective_function_test(c, **kwargs)['function_value']\n\t\treturn({\n\t\t\t'loss': res['function_value'],\n\t\t\t'info': res\n\t\t})\n"
  },
  {
    "path": "src/aup/Proposer/hpbandster_LICENSE",
    "content": "BSD 3-Clause License\n\nCopyright (c) 2017-2018, ML4AAD\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n  list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n  this list of conditions and the following disclaimer in the documentation\n  and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n  contributors may be used to endorse or promote products derived from\n  this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n"
  },
  {
    "path": "src/aup/Proposer/hyperband_LICENSE",
    "content": "Licence information for https://github.com/zygmuntz/hyperband\n-------------------------------------------------------------\n\nCopyright (c) 2017, Zygmunt Zając\nAll rights reserved.\n\nThis software is licensed as follows:\n\n1. All Russian, Chinese and United States government agencies are strictly\nprohibited from using this software.\n\n2. For other entities the license is BSD-2-clause, as follows.\n\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n  list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n  this list of conditions and the following disclaimer in the documentation\n  and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/LICENSE.txt",
    "content": "LICENSE\n=======\n\nCopyright (c) 2013, James Bergstra\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n    * Redistributions of source code must retain the above copyright\n      notice, this list of conditions and the following disclaimer.\n    * Redistributions in binary form must reproduce the above copyright\n      notice, this list of conditions and the following disclaimer in the\n      documentation and/or other materials provided with the distribution.\n    * Neither the name of hyperopt nor the names of its contributors may be\n      used to endorse or promote products derived from this software without\n      specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ''AS IS'' AND ANY\nEXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\nWARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS BE LIABLE FOR ANY\nDIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\nLOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\nON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/__init__.py",
    "content": "from __future__ import absolute_import\n\nfrom .base import STATUS_STRINGS\nfrom .base import STATUS_NEW\nfrom .base import STATUS_RUNNING\nfrom .base import STATUS_SUSPENDED\nfrom .base import STATUS_OK\nfrom .base import STATUS_FAIL\n\nfrom .base import JOB_STATES\nfrom .base import JOB_STATE_NEW\nfrom .base import JOB_STATE_RUNNING\nfrom .base import JOB_STATE_DONE\nfrom .base import JOB_STATE_ERROR\n\nfrom .base import Ctrl\nfrom .base import Trials\nfrom .base import trials_from_docs\nfrom .base import Domain\n\nfrom .fmin import fmin\nfrom .fmin import fmin_pass_expr_memo_ctrl\nfrom .fmin import FMinIter\nfrom .fmin import partial\nfrom .fmin import space_eval\n\n# -- syntactic sugar\nfrom . import hp\n\n# -- exceptions\nfrom . import exceptions\n\n# -- Import built-in optimization algorithms\nfrom . import rand\nfrom . import tpe\nfrom . import mix\nfrom . import anneal\n\n__version__ = '0.2'\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/algobase.py",
    "content": "\"\"\" Support code for new-style search algorithms.\n\"\"\"\nfrom __future__ import print_function\nfrom builtins import object\nimport copy\nfrom collections import deque\n\nimport numpy as np\n\nfrom . import pyll\nfrom .base import miscs_update_idxs_vals\n\n__authors__ = \"James Bergstra\"\n__license__ = \"3-clause BSD License\"\n__contact__ = \"github.com/hyperopt/hyperopt\"\n\n\nclass ExprEvaluator(object):\n    def __init__(self, expr,\n                 deepcopy_inputs=False,\n                 max_program_len=None,\n                 memo_gc=True):\n        \"\"\"\n        Parameters\n        ----------\n\n        expr - pyll Apply instance to be evaluated\n\n        deepcopy_inputs - deepcopy inputs to every node prior to calling that\n            node's function on those inputs. If this leads to a different\n            return value, then some function (XXX add more complete DebugMode\n            functionality) in your graph is modifying its inputs and causing\n            mis-calculation. XXX: This is not a fully-functional DebugMode\n            because if the offender happens on account of the toposort order\n            to be the last user of said input, then it will not be detected as\n            a potential problem.\n\n        max_program_len : int (default pyll.base.DEFAULT_MAX_PROGRAM_LEN)\n            If more than this many nodes are evaluated in the course of\n            evaluating `expr`, then evaluation is aborted under the assumption\n            that an infinite recursion is underway.\n\n        memo_gc : bool\n            If True, values computed for apply nodes within `expr` may be\n            cleared during computation. The bookkeeping required to do this\n            takes a bit of extra time, but usually no big deal.\n\n        \"\"\"\n        self.expr = pyll.as_apply(expr)\n        if deepcopy_inputs not in (0, 1, False, True):\n            # -- I've been calling rec_eval(expr, memo) by accident a few times\n            #    this error would have been appreciated.\n            #\n            # TODO: Good candidate for Py3K keyword-only argument\n            raise ValueError('deepcopy_inputs should be bool', deepcopy_inputs)\n        self.deepcopy_inputs = deepcopy_inputs\n        if max_program_len is None:\n            self.max_program_len = pyll.base.DEFAULT_MAX_PROGRAM_LEN\n        else:\n            self.max_program_len = max_program_len\n        self.memo_gc = memo_gc\n\n    def eval_nodes(self, memo=None):\n        if memo is None:\n            memo = {}\n        else:\n            memo = dict(memo)\n\n        # TODO: optimize dfs to not recurse past the items in memo\n        #       this is especially important for evaluating Lambdas\n        #       which cause rec_eval to recurse\n        #\n        # N.B. that Lambdas may expand the graph during the evaluation\n        #      so that this iteration may be an incomplete\n        if self.memo_gc:\n            clients = self.clients = {}\n            for aa in pyll.dfs(self.expr):\n                clients.setdefault(aa, set())\n                for ii in aa.inputs():\n                    clients.setdefault(ii, set()).add(aa)\n\n        todo = deque([self.expr])\n        while todo:\n            if len(todo) > self.max_program_len:\n                raise RuntimeError('Probably infinite loop in document')\n            node = todo.pop()\n\n            if node in memo:\n                # -- we've already computed this, move on.\n                continue\n\n            # -- different kinds of nodes are treated differently:\n            if node.name == 'switch':\n                waiting_on = self.on_switch(memo, node)\n                if waiting_on is None:\n                    continue\n            elif isinstance(node, pyll.Literal):\n                # -- constants go straight into the memo\n                self.set_in_memo(memo, node, node.obj)\n                continue\n            else:\n                # -- normal instruction-type nodes have inputs\n                waiting_on = [v for v in node.inputs() if v not in memo]\n\n            if waiting_on:\n                # -- Necessary inputs have yet to be evaluated.\n                #    push the node back in the queue, along with the\n                #    inputs it still needs\n                todo.append(node)\n                todo.extend(waiting_on)\n            else:\n                rval = self.on_node(memo, node)\n                if isinstance(rval, pyll.Apply):\n                    # -- if an instruction returns a Pyll apply node\n                    # it means evaluate that too. Lambdas do this.\n                    #\n                    # XXX: consider if it is desirable, efficient, buggy\n                    #      etc. to keep using the same memo dictionary.\n                    #      I think it is OK because by using the same\n                    #      dictionary all of the nodes are stored in the memo\n                    #      so all keys are preserved until the entire outer\n                    #      function returns\n                    evaluator = self.__class__(rval,\n                                               self.deep_copy_inputs,\n                                               self.max_program_len,\n                                               self.memo_gc)\n                    foo = evaluator(memo)\n                    self.set_in_memo(memo, node, foo)\n                else:\n                    self.set_in_memo(memo, node, rval)\n        return memo\n\n    def set_in_memo(self, memo, k, v):\n        \"\"\"Assign memo[k] = v\n\n        This is implementation optionally drops references to the arguments\n        \"clients\" required to compute apply-node `k`, which allows those\n        objects to be garbage-collected. This feature is enabled by\n        `self.memo_gc`.\n\n        \"\"\"\n        if self.memo_gc:\n            assert v is not pyll.base.GarbageCollected\n            memo[k] = v\n            for ii in k.inputs():\n                # -- if all clients of ii are already in the memo\n                #    then we can free memo[ii] by replacing it\n                #    with a dummy symbol\n                if all(iic in memo for iic in self.clients[ii]):\n                    memo[ii] = pyll.base.GarbageCollected\n        else:\n            memo[k] = v\n\n    def on_switch(self, memo, node):\n        # -- pyll.base.switch is a control-flow expression.\n        #\n        #    It's signature is\n        #       int, option0, option1, option2, ..., optionN\n        #\n        #    The semantics of a switch node are to only evaluate the option\n        #    corresponding to the value of the leading integer. (Think of\n        #    a switch block in the C language.)\n        #\n        #    This is a helper-function to self.eval_nodes.  It returns None,\n        #    or a list of apply-nodes required to evaluate the given switch\n        #    node.\n        #\n        #    When it returns None, the memo has been updated so that\n        #    memo[`node`] has been assigned the computed value for the given\n        #    switch node.\n        #\n        switch_i_var = node.pos_args[0]\n        if switch_i_var in memo:\n            switch_i = memo[switch_i_var]\n            try:\n                int(switch_i)\n            except:\n                raise TypeError('switch argument was', switch_i)\n            if switch_i != int(switch_i) or switch_i < 0:\n                raise ValueError('switch pos must be positive int',\n                                 switch_i)\n            rval_var = node.pos_args[switch_i + 1]\n            if rval_var in memo:\n                self.set_in_memo(memo, node, memo[rval_var])\n                return\n            else:\n                return [rval_var]\n        else:\n            return [switch_i_var]\n\n    def on_node(self, memo, node):\n        # -- Retrieve computed arguments of apply node\n        args = _args = [memo[v] for v in node.pos_args]\n        kwargs = _kwargs = dict([(k, memo[v])\n                                 for (k, v) in node.named_args])\n\n        if self.memo_gc:\n            # -- Ensure no computed argument has been (accidentally) freed for\n            #    garbage-collection.\n            for aa in args + list(kwargs.values()):\n                assert aa is not pyll.base.GarbageCollected\n\n        if self.deepcopy_inputs:\n            # -- I think this is supposed to be skipped if node.pure == True\n            #    because that attribute is supposed to mark the node as having\n            #    no side-effects that affect expression-evaluation.\n            #\n            #    HOWEVER That has not been tested in a while, and it's hard to\n            #    verify (with e.g. unit tests) that a node marked \"pure\" isn't\n            #    lying. So we hereby ignore the `pure` attribute and copy\n            #    everything to be on the safe side.\n            args = copy.deepcopy(_args)\n            kwargs = copy.deepcopy(_kwargs)\n\n        return pyll.scope._impls[node.name](*args, **kwargs)\n\n\nclass SuggestAlgo(ExprEvaluator):\n    \"\"\"Add constructor and call signature to match suggest()\n\n    Also, detect when on_node is handling a hyperparameter, and\n    delegate that to an `on_node_hyperparameter` method. This method\n    must be implemented by a derived class.\n    \"\"\"\n    def __init__(self, domain, trials, seed):\n        ExprEvaluator.__init__(self, domain.s_idxs_vals)\n        self.domain = domain\n        self.trials = trials\n        self.label_by_node = dict([\n            (n, l) for l, n in list(self.domain.vh.vals_by_label().items())])\n        self._seed = seed\n        self.rng = np.random.RandomState(seed)\n\n    def __call__(self, new_id):\n        self.rng.seed(self._seed + new_id)\n        memo = self.eval_nodes(\n            memo={\n                self.domain.s_new_ids: [new_id],\n                self.domain.s_rng: self.rng,\n            })\n        idxs, vals = memo[self.expr]\n        new_result = self.domain.new_result()\n        new_misc = dict(\n            tid=new_id,\n            cmd=self.domain.cmd,\n            workdir=self.domain.workdir)\n        miscs_update_idxs_vals([new_misc], idxs, vals)\n        rval = self.trials.new_trial_docs(\n            [new_id], [None], [new_result], [new_misc])\n        return rval\n\n    def on_node(self, memo, node):\n        if node in self.label_by_node:\n            label = self.label_by_node[node]\n            return self.on_node_hyperparameter(memo, node, label)\n        else:\n            return ExprEvaluator.on_node(self, memo, node)\n\n    def batch(self, new_ids):\n        new_ids = list(new_ids)\n        self.rng.seed([self._seed] + new_ids)\n        memo = self.eval_nodes(\n            memo={\n                self.domain.s_new_ids: new_ids,\n                self.domain.s_rng: self.rng,\n            })\n        idxs, vals = memo[self.expr]\n        return idxs, vals\n\n# -- flake-8 abhors blank line EOF\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/anneal.py",
    "content": "\"\"\"\nAnnealing algorithm for hyperopt\n\nAnnealing is a simple but effective variant on random search that\ntakes some advantage of a smooth response surface.\n\nThe simple (but not overly simple) code of simulated annealing makes this file\na good starting point for implementing new search algorithms.\n\n\"\"\"\nfrom __future__ import print_function\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom builtins import zip\nfrom past.utils import old_div\nimport logging\nimport numpy as np\nfrom .pyll.stochastic import (\n    categorical,\n    normal,\n    lognormal,\n    qnormal,\n    qlognormal,\n    uniform,\n    loguniform,\n    quniform,\n    qloguniform,\n)\nfrom .base import miscs_to_idxs_vals\nfrom .algobase import (\n    SuggestAlgo,\n    ExprEvaluator,\n)\n\n__authors__ = \"James Bergstra\"\n__license__ = \"3-clause BSD License\"\n__contact__ = \"github.com/hyperopt/hyperopt\"\n\nlogger = logging.getLogger(__name__)\n\n\nclass AnnealingAlgo(SuggestAlgo):\n    \"\"\"\n    This simple annealing algorithm begins by sampling from the prior,\n    but tends over time to sample from points closer and closer to the best\n    ones observed.\n\n    In addition to the value of this algorithm as a baseline optimization\n    strategy, it is a simple starting point for implementing new algorithms.\n\n    # The Annealing Algorithm\n\n    The annealing algorithm is to choose one of the previous trial points\n    as a starting point, and then to sample each hyperparameter from a similar\n    distribution to the one specified in the prior, but whose density is more\n    concentrated around the trial point we selected.\n\n    This algorithm is a simple variation on random search that leverages\n    smoothness in the response surface.  The annealing rate is not adaptive.\n\n    ## Choosing a Best Trial\n\n    The algorithm formalizes the notion of \"one of the best trials\" by\n    sampling a position from a geometric distribution whose mean is the\n    `avg_best_idx` parameter.  The \"best trial\" is the trial thus selected\n    from the set of all trials (`self.trials`).\n\n    It may happen that in the process of ancestral sampling, we may find that\n    the best trial at some ancestral point did not use the hyperparameter we\n    need to draw.  In such a case, this algorithm will draw a new \"runner up\"\n    best trial, and use that one as if it had been chosen as the best trial.\n\n    The set of best trials, and runner-up best trials obtained during the\n    process of choosing all hyperparameters is kept sorted by the validation\n    loss, and at each point where the best trial does not define a\n    required hyperparameter value, we actually go through all the list of\n    runners-up too, before giving up and adding a new runner-up trial.\n\n\n    ## Concentrating Prior Distributions\n\n    To sample a hyperparameter X within a search space, we look at\n    what kind of hyperparameter it is (what kind of distribution it's from)\n    and the previous successful values of that hyperparameter, and make\n    a new proposal for that hyperparameter independently of other\n    hyperparameters (except technically any choice nodes that led us to use\n    this current hyperparameter in the first place).\n\n    For example, if X is a uniform-distributed hyperparameters drawn from\n    `U(l, h)`, we look at the value `x` of the hyperparameter in the selected\n    trial, and draw from a new uniform density `U(x - w/2, x + w/2)`, where w\n    is related to the initial range, and the number of observations we have for\n    X so far. If W is the initial range, and T is the number of observations\n    we have, then w = W / (1 + T * shrink_coef).  If the resulting range would\n    extend either below l or above h, we shift it to fit into the original\n    bounds.\n\n    \"\"\"\n\n    def __init__(self, domain, trials, seed,\n                 avg_best_idx=2.0,\n                 shrink_coef=0.1):\n        \"\"\"\n        Parameters\n        ----------\n        avg_best_idx: float\n            Mean of geometric distribution over which trial to explore around,\n            selecting from trials sorted by score (0 is best)\n\n        shrink_coef: float\n            Rate of reduction in the size of sampling neighborhood as more\n            points have been explored.\n        \"\"\"\n        SuggestAlgo.__init__(self, domain, trials, seed=seed)\n        self.avg_best_idx = avg_best_idx\n        self.shrink_coef = shrink_coef\n        doc_by_tid = {}\n        for doc in trials.trials:\n            # get either this docs own tid or the one that it's from\n            tid = doc['tid']\n            loss = domain.loss(doc['result'], doc['spec'])\n            if loss is None:\n                # -- associate infinite loss to new/running/failed jobs\n                loss = float('inf')\n            else:\n                loss = float(loss)\n            doc_by_tid[tid] = (doc, loss)\n        self.tid_docs_losses = sorted(doc_by_tid.items())\n        self.tids = np.asarray([t for (t, (d, l)) in self.tid_docs_losses])\n        self.losses = np.asarray([l for (t, (d, l)) in self.tid_docs_losses])\n        self.tid_losses_dct = dict(list(zip(self.tids, self.losses)))\n        # node_tids: dict from hp label -> trial ids (tids) using that hyperparam\n        # node_vals: dict from hp label -> values taken by that hyperparam\n        self.node_tids, self.node_vals = miscs_to_idxs_vals(\n            [d['misc'] for (tid, (d, l)) in self.tid_docs_losses],\n            keys=list(domain.params.keys()))\n        self.best_tids = []\n\n    def shrinking(self, label):\n        \"\"\"Return fraction of original search width\n\n        Parameters\n        ----------\n        label: string\n            the name of a hyperparameter\n        \"\"\"\n        T = len(self.node_vals[label])\n        return old_div(1.0, (1.0 + T * self.shrink_coef))\n\n    def choose_ltv(self, label, size):\n        \"\"\"Returns (loss, tid, val) of best/runner-up trial\n        \"\"\"\n        tids = self.node_tids[label]\n        vals = self.node_vals[label]\n        losses = [self.tid_losses_dct[tid] for tid in tids]\n\n        if size == 1:\n            # -- try to return the value corresponding to one of the\n            #    trials that was previously chosen (non-independence\n            #    of hyperparameter values)\n            # This doesn't really make sense if we're sampling a lot of\n            # points at a time.\n            tid_set = set(tids)\n            for tid in self.best_tids:\n                if tid in tid_set:\n                    idx = tids.index(tid)\n                    rval = losses[idx], tid, vals[idx]\n                    return rval\n\n        # -- choose a new good seed point\n        good_idx = self.rng.geometric(old_div(1.0, self.avg_best_idx), size=size) - 1\n        good_idx = np.clip(good_idx, 0, len(tids) - 1).astype('int32')\n\n        picks = np.argsort(losses)[good_idx]\n        picks_loss = np.asarray(losses)[picks]\n        picks_tids = np.asarray(tids)[picks]\n        picks_vals = np.asarray(vals)[picks]\n\n        if size == 1:\n            self.best_tids.append(int(picks_tids))\n        return picks_loss, picks_tids, picks_vals\n\n    def on_node_hyperparameter(self, memo, node, label):\n        \"\"\"\n        Return a new value for one hyperparameter.\n\n        Parameters:\n        -----------\n\n        memo - a partially-filled dictionary of node -> list-of-values\n               for the nodes in a vectorized representation of the\n               original search space.\n\n        node - an Apply instance in the vectorized search space,\n               which corresponds to a hyperparameter\n\n        label - a string, the name of the hyperparameter\n\n\n        Returns: a list with one value in it: the suggested value for this\n        hyperparameter\n\n\n        Notes\n        -----\n\n        This function works by delegating to self.hp_HPTYPE functions to\n        handle each of the kinds of hyperparameters in hyperopt.pyll_utils.\n\n        Other search algorithms can implement this function without\n        delegating based on the hyperparameter type, but it's a pattern\n        I've used a few times so I show it here.\n\n        \"\"\"\n        n_observations = len(self.node_vals[label])\n        if n_observations > 0:\n            # -- Pick a previous trial on which to base the new sample\n            size = memo[node.arg['size']]\n            loss, tid, val = self.choose_ltv(label, size=size)\n            try:\n                handler = getattr(self, 'hp_%s' % node.name)\n            except AttributeError:\n                raise NotImplementedError('Annealing', node.name)\n            return handler(memo, node, label, tid, val)\n        else:\n            # -- Draw the new sample from the prior\n            return ExprEvaluator.on_node(self, memo, node)\n\n    def hp_uniform(self, memo, node, label, tid, val,\n                   log_scale=False,\n                   pass_q=False,\n                   uniform_like=uniform):\n        \"\"\"\n        Return a new value for a uniform hyperparameter.\n\n        Parameters:\n        -----------\n\n        memo - (see on_node_hyperparameter)\n\n        node - (see on_node_hyperparameter)\n\n        label - (see on_node_hyperparameter)\n\n        tid - trial-identifier of the model trial on which to base a new sample\n\n        val - the value of this hyperparameter on the model trial\n\n        Returns: a list with one value in it: the suggested value for this\n        hyperparameter\n        \"\"\"\n        if log_scale:\n            midpt = np.log(val)\n        else:\n            midpt = val\n        high = memo[node.arg['high']]\n        low = memo[node.arg['low']]\n        width = (high - low) * self.shrinking(label)\n        half = .5 * width\n        min_midpt = low + half\n        max_midpt = high - half\n        clipped_midpt = np.clip(midpt, min_midpt, max_midpt)\n\n        # if pass_q:\n        #    assert low <= val <= high, (low, val, high)\n        # else:\n        #    val = min(high, max(val, low))\n        # new_high = min(high, val + width / 2)\n        # if new_high == high:\n        #    new_low = new_high - width\n        # else:\n        #    new_low = max(low, val - width / 2)\n        #    if new_low == low:\n        #        new_high = min(high, new_low + width)\n        # assert low <= new_low <= new_high <= high\n        if pass_q:\n            return uniform_like(\n                low=clipped_midpt - half,\n                high=clipped_midpt + half,\n                rng=self.rng,\n                q=memo[node.arg['q']],\n                size=memo[node.arg['size']])\n        else:\n            return uniform_like(\n                low=clipped_midpt - half,\n                high=clipped_midpt + half,\n                rng=self.rng,\n                size=memo[node.arg['size']])\n\n    def hp_quniform(self, *args, **kwargs):\n        return self.hp_uniform(\n            pass_q=True,\n            uniform_like=quniform,\n            *args,\n            **kwargs)\n\n    def hp_loguniform(self, *args, **kwargs):\n        return self.hp_uniform(\n            log_scale=True,\n            pass_q=False,\n            uniform_like=loguniform,\n            *args,\n            **kwargs)\n\n    def hp_qloguniform(self, *args, **kwargs):\n        return self.hp_uniform(\n            log_scale=True,\n            pass_q=True,\n            uniform_like=qloguniform,\n            *args,\n            **kwargs)\n\n    def hp_randint(self, memo, node, label, tid, val):\n        \"\"\"\n        Parameters: See `hp_uniform`\n        \"\"\"\n        upper = memo[node.arg['upper']]\n        val1 = np.atleast_1d(val)\n        if val1.size:\n            counts = old_div(np.bincount(val1, minlength=upper), float(val1.size))\n        else:\n            counts = np.zeros(upper)\n            prior = 1.0\n        prior = self.shrinking(label)\n        p = (1 - prior) * counts + prior * (old_div(1.0, upper))\n        rval = categorical(p=p, upper=upper, rng=self.rng,\n                           size=memo[node.arg['size']])\n        return rval\n\n    def hp_categorical(self, memo, node, label, tid, val):\n        \"\"\"\n        Parameters: See `hp_uniform`\n        \"\"\"\n        size = memo[node.arg['size']]\n        if size == 0:\n            return []\n        val1 = np.atleast_1d(val)\n        p = p_orig = np.asarray(memo[node.arg['p']])\n        if p.ndim == 2:\n            if len(p) not in (1, len(val1)):\n                print(node)\n                print(p)\n                print(np.asarray(p).shape)\n            assert len(p) in (1, len(val1))\n        else:\n            assert p.ndim == 1\n            p = p[np.newaxis, :]\n        upper = memo[node.arg['upper']]\n        if val1.size:\n            counts = old_div(np.bincount(val1, minlength=upper), float(val1.size))\n            prior = self.shrinking(label)\n        else:\n            counts = np.zeros(upper)\n            prior = 1.0\n        new_p = (1 - prior) * counts + prior * p\n        assert new_p.ndim == 2\n        rval = categorical(p=new_p, rng=self.rng, size=size)\n        if p_orig.ndim == 1:\n            assert len(rval) == 1\n            return rval[0]\n        else:\n            return rval\n\n    def hp_normal(self, memo, node, label, tid, val):\n        \"\"\"\n        Parameters: See `hp_uniform`\n        \"\"\"\n        return normal(\n            mu=val,\n            sigma=memo[node.arg['sigma']] * self.shrinking(label),\n            rng=self.rng,\n            size=memo[node.arg['size']])\n\n    def hp_lognormal(self, memo, node, label, tid, val):\n        \"\"\"\n        Parameters: See `hp_uniform`\n        \"\"\"\n        return lognormal(\n            mu=np.log(val),\n            sigma=memo[node.arg['sigma']] * self.shrinking(label),\n            rng=self.rng,\n            size=memo[node.arg['size']])\n\n    def hp_qlognormal(self, memo, node, label, tid, val):\n        \"\"\"\n        Parameters: See `hp_uniform`\n        \"\"\"\n        return qlognormal(\n            # -- prevent log(0) without messing up algo\n            mu=np.log(1e-16 + val),\n            sigma=memo[node.arg['sigma']] * self.shrinking(label),\n            q=memo[node.arg['q']],\n            rng=self.rng,\n            size=memo[node.arg['size']])\n\n    def hp_qnormal(self, memo, node, label, tid, val):\n        \"\"\"\n        Parameters: See `hp_uniform`\n        \"\"\"\n        return qnormal(\n            mu=val,\n            sigma=memo[node.arg['sigma']] * self.shrinking(label),\n            q=memo[node.arg['q']],\n            rng=self.rng,\n            size=memo[node.arg['size']])\n\n\ndef suggest(new_ids, domain, trials, seed, *args, **kwargs):\n    new_id, = new_ids\n    return AnnealingAlgo(domain, trials, seed, *args, **kwargs)(new_id)\n\n\ndef suggest_batch(new_ids, domain, trials, seed, *args, **kwargs):\n    return AnnealingAlgo(domain, trials, seed, *args, **kwargs).batch(new_ids)\n\n# -- flake-8 abhors blank line EOF\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/base.py",
    "content": "\"\"\"Base classes / Design\n\nThe design is that there are three components fitting together in this project:\n\n- Trials - a list of documents including at least sub-documents:\n    ['spec'] - the specification of hyper-parameters for a job\n    ['result'] - the result of Domain.evaluate(). Typically includes:\n        ['status'] - one of the STATUS_STRINGS\n        ['loss'] - real-valued scalar that hyperopt is trying to minimize\n    ['idxs'] - compressed representation of spec\n    ['vals'] - compressed representation of spec\n    ['tid'] - trial id (unique in Trials list)\n\n- Domain - specifies a search problem\n\n- Ctrl - a channel for two-way communication\n         between an Experiment and Domain.evaluate.\n         Experiment subclasses may subclass Ctrl to match. For example, if an\n         experiment is going to dispatch jobs in other threads, then an\n         appropriate thread-aware Ctrl subclass should go with it.\n\n\"\"\"\nfrom __future__ import print_function\nfrom __future__ import absolute_import\nfrom builtins import str\nfrom builtins import map\nfrom builtins import zip\nfrom builtins import range\nfrom past.builtins import basestring\nfrom builtins import object\nimport logging\nimport datetime\nimport sys\n\nimport numpy as np\n\ntry:\n    import bson  # -- comes with pymongo\n    from bson.objectid import ObjectId\n    have_bson = True\nexcept ImportError:\n    have_bson = False\n\nfrom . import pyll\nfrom .pyll.stochastic import recursive_set_rng_kwarg\n\nfrom .exceptions import (\n    DuplicateLabel, InvalidTrial, InvalidResultStatus, InvalidLoss)\nfrom .utils import pmin_sampled\nfrom .utils import use_obj_for_literal_in_memo\nfrom .vectorize import VectorizeHelper\n\n__authors__ = \"James Bergstra\"\n__license__ = \"3-clause BSD License\"\n__contact__ = \"github.com/hyperopt/hyperopt\"\n\nlogger = logging.getLogger(__name__)\n\n\n# -- STATUS values\n#    An eval_fn returning a dictionary must have a status key with\n#    one of these values. They are used by optimization routines\n#    and plotting functions.\n\nSTATUS_NEW = 'new'\nSTATUS_RUNNING = 'running'\nSTATUS_SUSPENDED = 'suspended'\nSTATUS_OK = 'ok'\nSTATUS_FAIL = 'fail'\nSTATUS_STRINGS = (\n    'new',        # computations have not started\n    'running',    # computations are in prog\n    'suspended',  # computations have been suspended, job is not finished\n    'ok',         # computations are finished, terminated normally\n    'fail')       # computations are finished, terminated with error\n#   - result['status_fail'] should contain more info\n\n\n# -- JOBSTATE values\n# These are used internally by the scheduler.\n# These values are used to communicate between an Experiment\n# and a worker process. Consider moving them to mongoexp.\n\n# -- named constants for job execution pipeline\nJOB_STATE_NEW = 0\nJOB_STATE_RUNNING = 1\nJOB_STATE_DONE = 2\nJOB_STATE_ERROR = 3\nJOB_STATES = [\n    JOB_STATE_NEW,\n    JOB_STATE_RUNNING,\n    JOB_STATE_DONE,\n    JOB_STATE_ERROR]\n\n\nTRIAL_KEYS = [\n    'tid',\n    'spec',\n    'result',\n    'misc',\n    'state',\n    'owner',\n    'book_time',\n    'refresh_time',\n    'exp_key']\n\nTRIAL_MISC_KEYS = [\n    'tid',\n    'cmd',\n    'idxs',\n    'vals']\n\n\ndef _all_same(*args):\n    return 1 == len(set(args))\n\n\ndef SONify(arg, memo=None):\n    if not have_bson:\n        return arg\n    add_arg_to_raise = True\n    try:\n        if memo is None:\n            memo = {}\n        if id(arg) in memo:\n            rval = memo[id(arg)]\n        if isinstance(arg, ObjectId):\n            rval = arg\n        elif isinstance(arg, datetime.datetime):\n            rval = arg\n        elif isinstance(arg, np.floating):\n            rval = float(arg)\n        elif isinstance(arg, np.integer):\n            rval = int(arg)\n        elif isinstance(arg, (list, tuple)):\n            rval = type(arg)([SONify(ai, memo) for ai in arg])\n        elif isinstance(arg, dict):\n            rval = dict(\n                [(SONify(k, memo), SONify(v, memo)) for k, v in list(arg.items())])\n        elif isinstance(arg, (basestring, float, int, int, type(None))):\n            rval = arg\n        elif isinstance(arg, np.ndarray):\n            if arg.ndim == 0:\n                rval = SONify(arg.sum())\n            else:\n                rval = list(map(SONify, arg))  # N.B. memo None\n        # -- put this after ndarray because ndarray not hashable\n        elif arg in (True, False):\n            rval = int(arg)\n        else:\n            add_arg_to_raise = False\n            raise TypeError('SONify', arg)\n    except Exception as e:\n        if add_arg_to_raise:\n            e.args = e.args + (arg,)\n        raise\n    memo[id(rval)] = rval\n    return rval\n\n\ndef miscs_update_idxs_vals(miscs, idxs, vals,\n                           assert_all_vals_used=True,\n                           idxs_map=None):\n    \"\"\"\n    Unpack the idxs-vals format into the list of dictionaries that is\n    `misc`.\n\n    idxs_map: a dictionary of id->id mappings so that the misc['idxs'] can\n        contain different numbers than the idxs argument. XXX CLARIFY\n    \"\"\"\n    if idxs_map is None:\n        idxs_map = {}\n\n    assert set(idxs.keys()) == set(vals.keys())\n\n    misc_by_id = dict([(m['tid'], m) for m in miscs])\n    for m in miscs:\n        m['idxs'] = dict([(key, []) for key in idxs])\n        m['vals'] = dict([(key, []) for key in idxs])\n\n    for key in idxs:\n        assert len(idxs[key]) == len(vals[key])\n        for tid, val in zip(idxs[key], vals[key]):\n            tid = idxs_map.get(tid, tid)\n            if assert_all_vals_used or tid in misc_by_id:\n                misc_by_id[tid]['idxs'][key] = [tid]\n                misc_by_id[tid]['vals'][key] = [val]\n\n    return miscs\n\n\ndef miscs_to_idxs_vals(miscs, keys=None):\n    if keys is None:\n        if len(miscs) == 0:\n            raise ValueError('cannot infer keys from empty miscs')\n        keys = list(miscs[0]['idxs'].keys())\n    idxs = dict([(k, []) for k in keys])\n    vals = dict([(k, []) for k in keys])\n    for misc in miscs:\n        for node_id in idxs:\n            t_idxs = misc['idxs'][node_id]\n            t_vals = misc['vals'][node_id]\n            assert len(t_idxs) == len(t_vals)\n            assert t_idxs == [] or t_idxs == [misc['tid']]\n            idxs[node_id].extend(t_idxs)\n            vals[node_id].extend(t_vals)\n    return idxs, vals\n\n\ndef spec_from_misc(misc):\n    spec = {}\n    for k, v in list(misc['vals'].items()):\n        if len(v) == 0:\n            pass\n        elif len(v) == 1:\n            spec[k] = v[0]\n        else:\n            raise NotImplementedError('multiple values', (k, v))\n    return spec\n\n\nclass Trials(object):\n    \"\"\"Database interface supporting data-driven model-based optimization.\n\n    The model-based optimization algorithms used by hyperopt's fmin function\n    work by analyzing samples of a response surface--a history of what points\n    in the search space were tested, and what was discovered by those tests.\n    A Trials instance stores that history and makes it available to fmin and\n    to the various optimization algorithms.\n\n    This class (`base.Trials`) is a pure-Python implementation of the database\n    in terms of lists of dictionaries.  Subclass `mongoexp.MongoTrials`\n    implements the same API in terms of a mongodb database running in another\n    process. Other subclasses may be implemented in future.\n\n    The elements of `self.trials` represent all of the completed, in-progress,\n    and scheduled evaluation points from an e.g. `fmin` call.\n\n    Each element of `self.trials` is a dictionary with *at least* the following\n    keys:\n\n    * **tid**: a unique trial identification object within this Trials instance\n      usually it is an integer, but it isn't obvious that other sortable,\n      hashable objects couldn't be used at some point.\n\n    * **result**: a sub-dictionary representing what was returned by the fmin\n      evaluation function. This sub-dictionary has a key 'status' with a value\n      from `STATUS_STRINGS` and the status is `STATUS_OK`, then there should be\n      a 'loss' key as well with a floating-point value.  Other special keys in\n      this sub-dictionary may be used by optimization algorithms  (see them\n      for details). Other keys in this sub-dictionary can be used by the\n      evaluation function to store miscelaneous diagnostics and debugging\n      information.\n\n    * **misc**: despite generic name, this is currently where the trial's\n      hyperparameter assigments are stored. This sub-dictionary has two\n      elements: `'idxs'` and `'vals'`. The `vals` dictionary is\n      a sub-sub-dictionary mapping each hyperparameter to either `[]` (if the\n      hyperparameter is inactive in this trial), or `[<val>]` (if the\n      hyperparameter is active). The `idxs` dictionary is technically\n      redundant -- it is the same as `vals` but it maps hyperparameter names\n      to either `[]` or `[<tid>]`.\n\n    \"\"\"\n\n    asynchronous = False\n\n    def __init__(self, exp_key=None, refresh=True):\n        self._ids = set()\n        self._dynamic_trials = []\n        self._exp_key = exp_key\n        self.attachments = {}\n        if refresh:\n            self.refresh()\n\n    def view(self, exp_key=None, refresh=True):\n        rval = object.__new__(self.__class__)\n        rval._exp_key = exp_key\n        rval._ids = self._ids\n        rval._dynamic_trials = self._dynamic_trials\n        rval.attachments = self.attachments\n        if refresh:\n            rval.refresh()\n        return rval\n\n    def aname(self, trial, name):\n        return 'ATTACH::%s::%s' % (trial['tid'], name)\n\n    def trial_attachments(self, trial):\n        \"\"\"\n        Support syntax for load:  self.trial_attachments(doc)[name]\n        # -- does this work syntactically?\n        #    (In any event a 2-stage store will work)\n        Support syntax for store: self.trial_attachments(doc)[name] = value\n        \"\"\"\n\n        # don't offer more here than in MongoCtrl\n        class Attachments(object):\n\n            def __contains__(_self, name):\n                return self.aname(trial, name) in self.attachments\n\n            def __getitem__(_self, name):\n                return self.attachments[self.aname(trial, name)]\n\n            def __setitem__(_self, name, value):\n                self.attachments[self.aname(trial, name)] = value\n\n            def __delitem__(_self, name):\n                del self.attachments[self.aname(trial, name)]\n\n        return Attachments()\n\n    def __iter__(self):\n        try:\n            return iter(self._trials)\n        except AttributeError:\n            print(\"You have to refresh before you iterate\", file=sys.stderr)\n            raise\n\n    def __len__(self):\n        try:\n            return len(self._trials)\n        except AttributeError:\n            print(\"You have to refresh before you compute len\", file=sys.stderr)\n            raise\n\n    def __getitem__(self, item):\n        # -- how to make it obvious whether indexing is by _trials position\n        #    or by tid if both are integers?\n        raise NotImplementedError('')\n\n    def refresh(self):\n        # In MongoTrials, this method fetches from database\n        if self._exp_key is None:\n            self._trials = [\n                tt for tt in self._dynamic_trials\n                if tt['state'] != JOB_STATE_ERROR]\n        else:\n            self._trials = [tt\n                            for tt in self._dynamic_trials\n                            if (tt['state'] != JOB_STATE_ERROR and\n                                tt['exp_key'] == self._exp_key)]\n        self._ids.update([tt['tid'] for tt in self._trials])\n\n    @property\n    def trials(self):\n        return self._trials\n\n    @property\n    def tids(self):\n        return [tt['tid'] for tt in self._trials]\n\n    @property\n    def specs(self):\n        return [tt['spec'] for tt in self._trials]\n\n    @property\n    def results(self):\n        return [tt['result'] for tt in self._trials]\n\n    @property\n    def miscs(self):\n        return [tt['misc'] for tt in self._trials]\n\n    @property\n    def idxs_vals(self):\n        return miscs_to_idxs_vals(self.miscs)\n\n    @property\n    def idxs(self):\n        return self.idxs_vals[0]\n\n    @property\n    def vals(self):\n        return self.idxs_vals[1]\n\n    def assert_valid_trial(self, trial):\n        if not (hasattr(trial, 'keys') and hasattr(trial, 'values')):\n            raise InvalidTrial('trial should be dict-like', trial)\n        for key in TRIAL_KEYS:\n            if key not in trial:\n                raise InvalidTrial('trial missing key %s', key)\n        for key in TRIAL_MISC_KEYS:\n            if key not in trial['misc']:\n                raise InvalidTrial('trial[\"misc\"] missing key', key)\n        if trial['tid'] != trial['misc']['tid']:\n            raise InvalidTrial(\n                'tid mismatch between root and misc',\n                trial)\n        # -- check for SON-encodable\n        if have_bson:\n            try:\n                bson.BSON.encode(trial)\n            except:\n                # TODO: save the trial object somewhere to inspect, fix, re-insert\n                #       so that precious data is not simply deallocated and lost.\n                print('-' * 80)\n                print(\"CANT ENCODE\")\n                print('-' * 80)\n                raise\n        if trial['exp_key'] != self._exp_key:\n            raise InvalidTrial('wrong exp_key',\n                               (trial['exp_key'], self._exp_key))\n        # XXX how to assert that tids are unique?\n        return trial\n\n    def _insert_trial_docs(self, docs):\n        \"\"\"insert with no error checking\n        \"\"\"\n        rval = [doc['tid'] for doc in docs]\n        self._dynamic_trials.extend(docs)\n        return rval\n\n    def insert_trial_doc(self, doc):\n        \"\"\"insert trial after error checking\n\n        Does not refresh. Call self.refresh() for the trial to appear in\n        self.specs, self.results, etc.\n        \"\"\"\n        doc = self.assert_valid_trial(SONify(doc))\n        return self._insert_trial_docs([doc])[0]\n        # refreshing could be done fast in this base implementation, but with\n        # a real DB the steps should be separated.\n\n    def insert_trial_docs(self, docs):\n        \"\"\" trials - something like is returned by self.new_trial_docs()\n        \"\"\"\n        docs = [self.assert_valid_trial(SONify(doc))\n                for doc in docs]\n        return self._insert_trial_docs(docs)\n\n    def new_trial_ids(self, N):\n        aa = len(self._ids)\n        rval = list(range(aa, aa + N))\n        self._ids.update(rval)\n        return rval\n\n    def new_trial_docs(self, tids, specs, results, miscs):\n        assert len(tids) == len(specs) == len(results) == len(miscs)\n        rval = []\n        for tid, spec, result, misc in zip(tids, specs, results, miscs):\n            doc = dict(\n                state=JOB_STATE_NEW,\n                tid=tid,\n                spec=spec,\n                result=result,\n                misc=misc)\n            doc['exp_key'] = self._exp_key\n            doc['owner'] = None\n            doc['version'] = 0\n            doc['book_time'] = None\n            doc['refresh_time'] = None\n            rval.append(doc)\n        return rval\n\n    def source_trial_docs(self, tids, specs, results, miscs, sources):\n        assert _all_same(list(map(len, [tids, specs, results, miscs, sources])))\n        rval = []\n        for tid, spec, result, misc, source in zip(tids, specs, results, miscs,\n                                                   sources):\n            doc = dict(\n                version=0,\n                tid=tid,\n                spec=spec,\n                result=result,\n                misc=misc,\n                state=source['state'],\n                exp_key=source['exp_key'],\n                owner=source['owner'],\n                book_time=source['book_time'],\n                refresh_time=source['refresh_time'],\n            )\n            # -- ensure that misc has the following fields,\n            #    some of which may already by set correctly.\n            assign = ('tid', tid), ('cmd', None), ('from_tid', source['tid'])\n            for k, v in assign:\n                assert doc['misc'].setdefault(k, v) == v\n            rval.append(doc)\n        return rval\n\n    def delete_all(self):\n        self._dynamic_trials = []\n        self.attachments = {}\n        self.refresh()\n\n    def count_by_state_synced(self, arg, trials=None):\n        \"\"\"\n        Return trial counts by looking at self._trials\n        \"\"\"\n        if trials is None:\n            trials = self._trials\n        if arg in JOB_STATES:\n            queue = [doc for doc in trials if doc['state'] == arg]\n        elif hasattr(arg, '__iter__'):\n            states = set(arg)\n            assert all([x in JOB_STATES for x in states])\n            queue = [doc for doc in trials if doc['state'] in states]\n        else:\n            raise TypeError(arg)\n        rval = len(queue)\n        return rval\n\n    def count_by_state_unsynced(self, arg):\n        \"\"\"\n        Return trial counts that count_by_state_synced would return if we\n        called refresh() first.\n        \"\"\"\n        if self._exp_key is not None:\n            exp_trials = [tt\n                          for tt in self._dynamic_trials\n                          if tt['exp_key'] == self._exp_key]\n        else:\n            exp_trials = self._dynamic_trials\n        return self.count_by_state_synced(arg, trials=exp_trials)\n\n    def losses(self, bandit=None):\n        if bandit is None:\n            return [r.get('loss') for r in self.results]\n        else:\n            return list(map(bandit.loss, self.results, self.specs))\n\n    def statuses(self, bandit=None):\n        if bandit is None:\n            return [r.get('status') for r in self.results]\n        else:\n            return list(map(bandit.status, self.results, self.specs))\n\n    def average_best_error(self, bandit=None):\n        \"\"\"Return the average best error of the experiment\n\n        Average best error is defined as the average of bandit.true_loss,\n        weighted by the probability that the corresponding bandit.loss is best.\n\n        For domains with loss measurement variance of 0, this function simply\n        returns the true_loss corresponding to the result with the lowest loss.\n        \"\"\"\n\n        if bandit is None:\n            results = self.results\n            loss = [r['loss']\n                    for r in results if r['status'] == STATUS_OK]\n            loss_v = [r.get('loss_variance', 0)\n                      for r in results if r['status'] == STATUS_OK]\n            true_loss = [r.get('true_loss', r['loss'])\n                         for r in results if r['status'] == STATUS_OK]\n        else:\n            def fmap(f):\n                rval = np.asarray([\n                    f(r, s)\n                    for (r, s) in zip(self.results, self.specs)\n                    if bandit.status(r) == STATUS_OK]).astype('float')\n                if not np.all(np.isfinite(rval)):\n                    raise ValueError()\n                return rval\n            loss = fmap(bandit.loss)\n            loss_v = fmap(bandit.loss_variance)\n            true_loss = fmap(bandit.true_loss)\n        loss3 = list(zip(loss, loss_v, true_loss))\n        if not loss3:\n            raise ValueError('Empty loss vector')\n        loss3.sort()\n        loss3 = np.asarray(loss3)\n        if np.all(loss3[:, 1] == 0):\n            best_idx = np.argmin(loss3[:, 0])\n            return loss3[best_idx, 2]\n        else:\n            cutoff = 0\n            sigma = np.sqrt(loss3[0][1])\n            while (cutoff < len(loss3) and\n                   loss3[cutoff][0] < loss3[0][0] + 3 * sigma):\n                cutoff += 1\n            pmin = pmin_sampled(loss3[:cutoff, 0], loss3[:cutoff, 1])\n            avg_true_loss = (pmin * loss3[:cutoff, 2]).sum()\n            return avg_true_loss\n\n    @property\n    def best_trial(self):\n        \"\"\"Trial with lowest loss and status=STATUS_OK\n        \"\"\"\n        candidates = [t for t in self.trials\n                      if t['result']['status'] == STATUS_OK]\n        losses = [float(t['result']['loss']) for t in candidates]\n        assert not np.any(np.isnan(losses))\n        best = np.argmin(losses)\n        return candidates[best]\n\n    @property\n    def argmin(self):\n        best_trial = self.best_trial\n        vals = best_trial['misc']['vals']\n        # unpack the one-element lists to values\n        # and skip over the 0-element lists\n        rval = {}\n        for k, v in list(vals.items()):\n            if v:\n                rval[k] = v[0]\n        return rval\n\n    def fmin(self, fn, space, algo, max_evals,\n             rstate=None,\n             verbose=0,\n             pass_expr_memo_ctrl=None,\n             catch_eval_exceptions=False,\n             return_argmin=True,\n             ):\n        \"\"\"Minimize a function over a hyperparameter space.\n\n        For most parameters, see `hyperopt.fmin.fmin`.\n\n        Parameters\n        ----------\n\n        catch_eval_exceptions : bool, default False\n            If set to True, exceptions raised by either the evaluation of the\n            configuration space from hyperparameters or the execution of `fn`\n            , will be caught by fmin, and recorded in self._dynamic_trials as\n            error jobs (JOB_STATE_ERROR).  If set to False, such exceptions\n            will not be caught, and so they will propagate to calling code.\n\n\n        \"\"\"\n        # -- Stop-gap implementation!\n        #    fmin should have been a Trials method in the first place\n        #    but for now it's still sitting in another file.\n        from .fmin import fmin\n        return fmin(\n            fn, space, algo, max_evals,\n            trials=self,\n            rstate=rstate,\n            verbose=verbose,\n            allow_trials_fmin=False,  # -- prevent recursion\n            pass_expr_memo_ctrl=pass_expr_memo_ctrl,\n            catch_eval_exceptions=catch_eval_exceptions,\n            return_argmin=return_argmin)\n\n\ndef trials_from_docs(docs, validate=True, **kwargs):\n    \"\"\"Construct a Trials base class instance from a list of trials documents\n    \"\"\"\n    rval = Trials(**kwargs)\n    if validate:\n        rval.insert_trial_docs(docs)\n    else:\n        rval._insert_trial_docs(docs)\n    rval.refresh()\n    return rval\n\n\nclass Ctrl(object):\n    \"\"\"Control object for interruptible, checkpoint-able evaluation\n    \"\"\"\n    info = logger.info\n    warn = logger.warn\n    error = logger.error\n    debug = logger.debug\n\n    def __init__(self, trials, current_trial=None):\n        # -- attachments should be used like\n        #      attachments[key]\n        #      attachments[key] = value\n        #    where key and value are strings. Client code should not\n        #    expect any dictionary-like behaviour beyond that (no update)\n        if trials is None:\n            self.trials = Trials()\n        else:\n            self.trials = trials\n        self.current_trial = current_trial\n\n    def checkpoint(self, r=None):\n        assert self.current_trial in self.trials._trials\n        if r is not None:\n            self.current_trial['result'] = r\n\n    @property\n    def attachments(self):\n        \"\"\"\n        Support syntax for load:  self.attachments[name]\n        Support syntax for store: self.attachments[name] = value\n        \"\"\"\n        return self.trials.trial_attachments(trial=self.current_trial)\n\n    def inject_results(self, specs, results, miscs, new_tids=None):\n        \"\"\"Inject new results into self.trials\n\n        Returns ??? XXX\n\n        new_tids can be None, in which case new tids will be generated\n        automatically\n\n        \"\"\"\n        trial = self.current_trial\n        assert trial is not None\n        num_news = len(specs)\n        assert len(specs) == len(results) == len(miscs)\n        if new_tids is None:\n            new_tids = self.trials.new_trial_ids(num_news)\n        new_trials = self.trials.source_trial_docs(tids=new_tids,\n                                                   specs=specs,\n                                                   results=results,\n                                                   miscs=miscs,\n                                                   sources=[trial])\n        for t in new_trials:\n            t['state'] = JOB_STATE_DONE\n        return self.trials.insert_trial_docs(new_trials)\n\n\nclass Domain(object):\n    \"\"\"Picklable representation of search space and evaluation function.\n\n    \"\"\"\n    rec_eval_print_node_on_error = False\n\n    # -- the Ctrl object is not used directly, but rather\n    #    a live Ctrl instance is inserted for the pyll_ctrl\n    #    in self.evaluate so that it can be accessed from within\n    #    the pyll graph describing the search space.\n    pyll_ctrl = pyll.as_apply(Ctrl)\n\n    def __init__(self, fn, expr,\n                 workdir=None,\n                 pass_expr_memo_ctrl=None,\n                 name=None,\n                 loss_target=None,\n                 ):\n        \"\"\"\n        Paramaters\n        ----------\n\n        fn : callable\n            This stores the `fn` argument to `fmin`. (See `hyperopt.fmin.fmin`)\n\n        expr : hyperopt.pyll.Apply\n            This is the `space` argument to `fmin`. (See `hyperopt.fmin.fmin`)\n\n        workdir : string (or None)\n            If non-None, the current working directory will be `workdir`while\n            `expr` and `fn` are evaluated. (XXX Currently only respected by\n            jobs run via MongoWorker)\n\n        pass_expr_memo_ctrl : bool\n            If True, `fn` will be called like this:\n            `fn(self.expr, memo, ctrl)`,\n            where `memo` is a dictionary mapping `Apply` nodes to their\n            computed values, and `ctrl` is a `Ctrl` instance for communicating\n            with a Trials database.  This lower-level calling convention is\n            useful if you want to call e.g. `hyperopt.pyll.rec_eval` yourself\n            in some customized way.\n\n        name : string (or None)\n            Label, used for pretty-printing.\n\n        loss_target : float (or None)\n            The actual or estimated minimum of `fn`.\n            Some optimization algorithms may behave differently if their first\n            objective is to find an input that achieves a certain value,\n            rather than the more open-ended objective of pure minimization.\n            XXX: Move this from Domain to be an fmin arg.\n\n        \"\"\"\n        self.fn = fn\n        if pass_expr_memo_ctrl is None:\n            self.pass_expr_memo_ctrl = getattr(fn,\n                                               'fmin_pass_expr_memo_ctrl',\n                                               False)\n        else:\n            self.pass_expr_memo_ctrl = pass_expr_memo_ctrl\n\n        self.expr = pyll.as_apply(expr)\n\n        self.params = {}\n        for node in pyll.dfs(self.expr):\n            if node.name == 'hyperopt_param':\n                label = node.arg['label'].obj\n                if label in self.params:\n                    raise DuplicateLabel(label)\n                self.params[label] = node.arg['obj']\n\n        self.loss_target = loss_target\n        self.name = name\n\n        self.workdir = workdir\n        self.s_new_ids = pyll.Literal('new_ids')  # -- list at eval-time\n        before = pyll.dfs(self.expr)\n        # -- raises exception if expr contains cycles\n        pyll.toposort(self.expr)\n        vh = self.vh = VectorizeHelper(self.expr, self.s_new_ids)\n        # -- raises exception if v_expr contains cycles\n        pyll.toposort(vh.v_expr)\n\n        idxs_by_label = vh.idxs_by_label()\n        vals_by_label = vh.vals_by_label()\n        after = pyll.dfs(self.expr)\n        # -- try to detect if VectorizeHelper screwed up anything inplace\n        assert before == after\n        assert set(idxs_by_label.keys()) == set(vals_by_label.keys())\n        assert set(idxs_by_label.keys()) == set(self.params.keys())\n\n        self.s_rng = pyll.Literal('rng-placeholder')\n        # -- N.B. operates inplace:\n        self.s_idxs_vals = recursive_set_rng_kwarg(\n            pyll.scope.pos_args(idxs_by_label, vals_by_label),\n            self.s_rng)\n\n        # -- raises an exception if no topological ordering exists\n        pyll.toposort(self.s_idxs_vals)\n\n        # -- Protocol for serialization.\n        #    self.cmd indicates to e.g. MongoWorker how this domain\n        #    should be [un]serialized.\n        #    XXX This mechanism deserves review as support for ipython\n        #        workers improves.\n        self.cmd = ('domain_attachment', 'FMinIter_Domain')\n\n    def memo_from_config(self, config):\n        memo = {}\n        for node in pyll.dfs(self.expr):\n            if node.name == 'hyperopt_param':\n                label = node.arg['label'].obj\n                # -- hack because it's not really garbagecollected\n                #    this does have the desired effect of crashing the\n                #    function if rec_eval actually needs a value that\n                #    the the optimization algorithm thought to be unnecessary\n                memo[node] = config.get(label, pyll.base.GarbageCollected)\n        return memo\n\n    def evaluate(self, config, ctrl, attach_attachments=True):\n        memo = self.memo_from_config(config)\n        use_obj_for_literal_in_memo(self.expr, ctrl, Ctrl, memo)\n        if self.pass_expr_memo_ctrl:\n            rval = self.fn(expr=self.expr, memo=memo, ctrl=ctrl)\n        else:\n            # -- the \"work\" of evaluating `config` can be written\n            #    either into the pyll part (self.expr)\n            #    or the normal Python part (self.fn)\n            pyll_rval = pyll.rec_eval(\n                self.expr,\n                memo=memo,\n                print_node_on_error=self.rec_eval_print_node_on_error)\n            rval = self.fn(pyll_rval)\n\n        if isinstance(rval, (float, int, np.number)):\n            dict_rval = {'loss': float(rval), 'status': STATUS_OK}\n        else:\n            dict_rval = dict(rval)\n            status = dict_rval['status']\n            if status not in STATUS_STRINGS:\n                raise InvalidResultStatus(dict_rval)\n\n            if status == STATUS_OK:\n                # -- make sure that the loss is present and valid\n                try:\n                    dict_rval['loss'] = float(dict_rval['loss'])\n                except (TypeError, KeyError):\n                    raise InvalidLoss(dict_rval)\n\n        if attach_attachments:\n            attachments = dict_rval.pop('attachments', {})\n            for key, val in list(attachments.items()):\n                ctrl.attachments[key] = val\n\n        # -- don't do this here because SON-compatibility is only a requirement\n        #    for trials destined for a mongodb. In-memory rvals can contain\n        #    anything.\n        return dict_rval\n\n    def evaluate_async(self, config, ctrl, attach_attachments=True,):\n        '''\n        this is the first part of async evaluation for ipython parallel engines (see ipy.py)\n\n        This breaks evaluate into two parts to allow for the apply_async call\n        to only pass the objective function and arguments.\n        '''\n        memo = self.memo_from_config(config)\n        use_obj_for_literal_in_memo(self.expr, ctrl, Ctrl, memo)\n        if self.pass_expr_memo_ctrl:\n            pyll_rval = self.fn(expr=self.expr, memo=memo, ctrl=ctrl)\n        else:\n            # -- the \"work\" of evaluating `config` can be written\n            #    either into the pyll part (self.expr)\n            #    or the normal Python part (self.fn)\n            pyll_rval = pyll.rec_eval(\n                self.expr,\n                memo=memo,\n                print_node_on_error=self.rec_eval_print_node_on_error)\n            return (self.fn, pyll_rval)\n\n    def evaluate_async2(self, rval, ctrl, attach_attachments=True):\n        '''\n        this is the second part of async evaluation for ipython parallel engines (see ipy.py)\n        '''\n        if isinstance(rval, (float, int, np.number)):\n            dict_rval = {'loss': float(rval), 'status': STATUS_OK}\n        else:\n            dict_rval = dict(rval)\n            status = dict_rval['status']\n            if status not in STATUS_STRINGS:\n                raise InvalidResultStatus(dict_rval)\n\n            if status == STATUS_OK:\n                # -- make sure that the loss is present and valid\n                try:\n                    dict_rval['loss'] = float(dict_rval['loss'])\n                except (TypeError, KeyError):\n                    raise InvalidLoss(dict_rval)\n\n        if attach_attachments:\n            attachments = dict_rval.pop('attachments', {})\n            for key, val in list(attachments.items()):\n                ctrl.attachments[key] = val\n\n        # -- don't do this here because SON-compatibility is only a requirement\n        #    for trials destined for a mongodb. In-memory rvals can contain\n        #    anything.\n        return dict_rval\n\n    def short_str(self):\n        return 'Domain{%s}' % str(self.fn)\n\n    def loss(self, result, config=None):\n        \"\"\"Extract the scalar-valued loss from a result document\n        \"\"\"\n        return result.get('loss', None)\n\n    def loss_variance(self, result, config=None):\n        \"\"\"Return the variance in the estimate of the loss\"\"\"\n        return result.get('loss_variance', 0.0)\n\n    def true_loss(self, result, config=None):\n        \"\"\"Return a true loss, in the case that the `loss` is a surrogate\"\"\"\n        # N.B. don't use get() here, it evaluates self.loss un-necessarily\n        try:\n            return result['true_loss']\n        except KeyError:\n            return self.loss(result, config=config)\n\n    def true_loss_variance(self, config=None):\n        \"\"\"Return the variance in  true loss,\n        in the case that the `loss` is a surrogate.\n        \"\"\"\n        raise NotImplementedError()\n\n    def status(self, result, config=None):\n        \"\"\"Extract the job status from a result document\n        \"\"\"\n        return result['status']\n\n    def new_result(self):\n        \"\"\"Return a JSON-encodable object\n        to serve as the 'result' for new jobs.\n        \"\"\"\n        return {'status': STATUS_NEW}\n\n\n# -- flake8 doesn't like blank last line\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/criteria.py",
    "content": "\"\"\"Criteria for Bayesian optimization\n\"\"\"\nfrom __future__ import division\nfrom past.utils import old_div\nimport numpy as np\nimport scipy.stats\n\n\ndef EI_empirical(samples, thresh):\n    \"\"\"Expected Improvement over threshold from samples\n\n    (See example usage in EI_gaussian_empirical)\n    \"\"\"\n    improvement = np.maximum(samples - thresh, 0)\n    return improvement.mean()\n\n\ndef EI_gaussian_empirical(mean, var, thresh, rng, N):\n    \"\"\"Expected Improvement of Gaussian over threshold\n\n    (estimated empirically)\n    \"\"\"\n    return EI_empirical(rng.randn(N) * np.sqrt(var) + mean, thresh)\n\n\ndef EI_gaussian(mean, var, thresh):\n    \"\"\"Expected Improvement of Gaussian over threshold\n\n    (estimated analytically)\n    \"\"\"\n    sigma = np.sqrt(var)\n    score = old_div((mean - thresh), sigma)\n    n = scipy.stats.norm\n    return sigma * (score * n.cdf(score) + n.pdf(score))\n\n\ndef logEI_gaussian(mean, var, thresh):\n    \"\"\"Return log(EI(mean, var, thresh))\n\n    This formula avoids underflow in cdf for\n        thresh >= mean + 37 * sqrt(var)\n\n    \"\"\"\n    assert np.asarray(var).min() >= 0\n    sigma = np.sqrt(var)\n    score = old_div((mean - thresh), sigma)\n    n = scipy.stats.norm\n    try:\n        float(mean)\n        is_scalar = True\n    except TypeError:\n        is_scalar = False\n\n    if is_scalar:\n        if score < 0:\n            pdf = n.logpdf(score)\n            r = np.exp(np.log(-score) + n.logcdf(score) - pdf)\n            rval = np.log(sigma) + pdf + np.log1p(-r)\n            if not np.isfinite(rval):\n                return -np.inf\n            else:\n                return rval\n        else:\n            return np.log(sigma) + np.log(score * n.cdf(score) + n.pdf(score))\n    else:\n        score = np.asarray(score)\n        rval = np.zeros_like(score)\n\n        olderr = np.seterr(all='ignore')\n        try:\n            negs = score < 0\n            nonnegs = np.logical_not(negs)\n            negs_score = score[negs]\n            negs_pdf = n.logpdf(negs_score)\n            r = np.exp(np.log(-negs_score) +\n                       n.logcdf(negs_score) -\n                       negs_pdf)\n            rval[negs] = np.log(sigma[negs]) + negs_pdf + np.log1p(-r)\n            nonnegs_score = score[nonnegs]\n            rval[nonnegs] = np.log(sigma[nonnegs]) + np.log(\n                nonnegs_score * n.cdf(nonnegs_score) + n.pdf(nonnegs_score))\n            rval[np.logical_not(np.isfinite(rval))] = -np.inf\n        finally:\n            np.seterr(**olderr)\n        return rval\n\n\ndef UCB(mean, var, zscore):\n    \"\"\"Upper Confidence Bound\n\n    For a model which predicts a Gaussian-distributed outcome, the UCB is\n\n        mean + zscore * sqrt(var)\n    \"\"\"\n    return mean + np.sqrt(var) * zscore\n\n\n# -- flake8\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/exceptions.py",
    "content": "\"\"\"\n\"\"\"\nfrom builtins import str\n\n\nclass BadSearchSpace(Exception):\n    \"\"\"Something is wrong in the description of the search space\"\"\"\n\n\nclass DuplicateLabel(BadSearchSpace):\n    \"\"\"A search space included a duplicate label \"\"\"\n\n\nclass InvalidTrial(ValueError):\n    \"\"\"Non trial-like object used as Trial\"\"\"\n    def __init__(self, msg, obj):\n        ValueError.__init__(self, msg + ' ' + str(obj))\n        self.obj = obj\n\n\nclass InvalidResultStatus(ValueError):\n    \"\"\"Status of fmin evaluation was not in base.STATUS_STRINGS\"\"\"\n    def __init__(self, result):\n        ValueError.__init__(self)\n        self.result = result\n\n\nclass InvalidLoss(ValueError):\n    \"\"\"fmin evaluation returned invalid loss value\"\"\"\n    def __init__(self, result):\n        ValueError.__init__(self)\n        self.result = result\n\n# -- flake8 doesn't like blank last line\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/fmin.py",
    "content": "from __future__ import print_function\nfrom __future__ import absolute_import\nfrom future import standard_library\nfrom builtins import str\nfrom builtins import object\n\nimport functools\nimport logging\nimport os\nimport sys\nimport time\n\nimport numpy as np\n\nfrom . import pyll\nfrom .utils import coarse_utcnow\nfrom . import base\n\nstandard_library.install_aliases()\nlogger = logging.getLogger(__name__)\n\n\ntry:\n    import dill as pickler\nexcept Exception as e:\n    logger.info('Failed to load dill, try installing dill via \"pip install dill\" for enhanced pickling support.')\n    import six.moves.cPickle as pickler\n\n\ndef generate_trial(tid, space):\n    variables = space.keys()\n    idxs = {v: [tid] for v in variables}\n    vals = {k: [v] for k, v in space.items()}\n    return {'state': base.JOB_STATE_NEW,\n            'tid': tid,\n            'spec': None,\n            'result': {'status': 'new'},\n            'misc': {'tid': tid,\n                     'cmd': ('domain_attachment',\n                             'FMinIter_Domain'),\n                     'workdir': None,\n                     'idxs': idxs,\n                     'vals': vals},\n            'exp_key': None,\n            'owner': None,\n            'version': 0,\n            'book_time': None,\n            'refresh_time': None,\n            }\n\n\ndef generate_trials_to_calculate(points):\n    \"\"\"\n    Function that generates trials to be evaluated from list of points\n\n    :param points: List of points to be inserted in trials object in form of\n        dictionary with variable names as keys and variable values as dict\n        values. Example value:\n        [{'x': 0.0, 'y': 0.0}, {'x': 1.0, 'y': 1.0}]\n\n    :return: object of class base.Trials() with points which will be calculated\n        before optimisation start if passed to fmin().\n    \"\"\"\n    trials = base.Trials()\n    new_trials = [generate_trial(tid, x) for tid, x in enumerate(points)]\n    trials.insert_trial_docs(new_trials)\n    return trials\n\n\ndef fmin_pass_expr_memo_ctrl(f):\n    \"\"\"\n    Mark a function as expecting kwargs 'expr', 'memo' and 'ctrl' from\n    hyperopt.fmin.\n\n    expr - the pyll expression of the search space\n    memo - a partially-filled memo dictionary such that\n           `rec_eval(expr, memo=memo)` will build the proposed trial point.\n    ctrl - the Experiment control object (see base.Ctrl)\n\n    \"\"\"\n    f.fmin_pass_expr_memo_ctrl = True\n    return f\n\n\ndef partial(fn, **kwargs):\n    \"\"\"functools.partial work-alike for functions decorated with\n    fmin_pass_expr_memo_ctrl\n    \"\"\"\n    rval = functools.partial(fn, **kwargs)\n    if hasattr(fn, 'fmin_pass_expr_memo_ctrl'):\n        rval.fmin_pass_expr_memo_ctrl = fn.fmin_pass_expr_memo_ctrl\n    return rval\n\n\nclass FMinIter(object):\n    \"\"\"Object for conducting search experiments.\n    \"\"\"\n    catch_eval_exceptions = False\n    pickle_protocol = -1\n\n    def __init__(self, algo, domain, trials, rstate, asynchronous=None,\n                 max_queue_len=1,\n                 poll_interval_secs=1.0,\n                 max_evals=sys.maxsize,\n                 verbose=0,\n                 ):\n        self.algo = algo\n        self.domain = domain\n        self.trials = trials\n        if asynchronous is None:\n            self.asynchronous = trials.asynchronous\n        else:\n            self.asynchronous = asynchronous\n        self.poll_interval_secs = poll_interval_secs\n        self.max_queue_len = max_queue_len\n        self.max_evals = max_evals\n        self.rstate = rstate\n\n        if self.asynchronous:\n            if 'FMinIter_Domain' in trials.attachments:\n                logger.warn('over-writing old domain trials attachment')\n            msg = pickler.dumps(domain)\n            # -- sanity check for unpickling\n            pickler.loads(msg)\n            trials.attachments['FMinIter_Domain'] = msg\n\n    def serial_evaluate(self, N=-1):\n        for trial in self.trials._dynamic_trials:\n            if trial['state'] == base.JOB_STATE_NEW:\n                trial['state'] = base.JOB_STATE_RUNNING\n                now = coarse_utcnow()\n                trial['book_time'] = now\n                trial['refresh_time'] = now\n                spec = base.spec_from_misc(trial['misc'])\n                ctrl = base.Ctrl(self.trials, current_trial=trial)\n                try:\n                    result = self.domain.evaluate(spec, ctrl)\n                except Exception as e:\n                    logger.info('job exception: %s' % str(e))\n                    trial['state'] = base.JOB_STATE_ERROR\n                    trial['misc']['error'] = (str(type(e)), str(e))\n                    trial['refresh_time'] = coarse_utcnow()\n                    if not self.catch_eval_exceptions:\n                        # -- JOB_STATE_ERROR means this trial\n                        #    will be removed from self.trials.trials\n                        #    by this refresh call.\n                        self.trials.refresh()\n                        raise\n                else:\n                    trial['state'] = base.JOB_STATE_DONE\n                    trial['result'] = result\n                    trial['refresh_time'] = coarse_utcnow()\n                N -= 1\n                if N == 0:\n                    break\n        self.trials.refresh()\n\n    def block_until_done(self):\n        already_printed = False\n        if self.asynchronous:\n            unfinished_states = [base.JOB_STATE_NEW, base.JOB_STATE_RUNNING]\n\n            def get_queue_len():\n                return self.trials.count_by_state_unsynced(unfinished_states)\n\n            qlen = get_queue_len()\n            while qlen > 0:\n                if not already_printed:\n                    logger.info('Waiting for %d jobs to finish ...' % qlen)\n                    already_printed = True\n                time.sleep(self.poll_interval_secs)\n                qlen = get_queue_len()\n            self.trials.refresh()\n        else:\n            self.serial_evaluate()\n\n    def run(self, N, block_until_done=True):\n        \"\"\"\n        block_until_done  means that the process blocks until ALL jobs in\n        trials are not in running or new state\n\n        \"\"\"\n        trials = self.trials\n        algo = self.algo\n        n_queued = 0\n\n        def get_queue_len():\n            return self.trials.count_by_state_unsynced(base.JOB_STATE_NEW)\n\n        stopped = False\n        while n_queued < N:\n            qlen = get_queue_len()\n            while qlen < self.max_queue_len and n_queued < N:\n                n_to_enqueue = min(self.max_queue_len - qlen, N - n_queued)\n                new_ids = trials.new_trial_ids(n_to_enqueue)\n                self.trials.refresh()\n                if 0:\n                    for d in self.trials.trials:\n                        print('trial %i %s %s' % (d['tid'], d['state'],\n                                                  d['result'].get('status')))\n                new_trials = algo(new_ids, self.domain, trials,\n                                  self.rstate.randint(2 ** 31 - 1))\n                assert len(new_ids) >= len(new_trials)\n                if len(new_trials):\n                    self.trials.insert_trial_docs(new_trials)\n                    self.trials.refresh()\n                    n_queued += len(new_trials)\n                    qlen = get_queue_len()\n                else:\n                    stopped = True\n                    break\n\n            if self.asynchronous:\n                # -- wait for workers to fill in the trials\n                time.sleep(self.poll_interval_secs)\n            else:\n                # -- loop over trials and do the jobs directly\n                self.serial_evaluate()\n\n            if stopped:\n                break\n\n        if block_until_done:\n            self.block_until_done()\n            self.trials.refresh()\n            logger.info('Queue empty, exiting run.')\n        else:\n            qlen = get_queue_len()\n            if qlen:\n                msg = 'Exiting run, not waiting for %d jobs.' % qlen\n                logger.info(msg)\n\n    def __iter__(self):\n        return self\n\n    def __next__(self):\n        self.run(1, block_until_done=self.asynchronous)\n        if len(self.trials) >= self.max_evals:\n            raise StopIteration()\n        return self.trials\n\n    def exhaust(self):\n        n_done = len(self.trials)\n        self.run(self.max_evals - n_done, block_until_done=self.asynchronous)\n        self.trials.refresh()\n        return self\n\n\ndef fmin(fn, space, algo, max_evals, trials=None, rstate=None,\n         allow_trials_fmin=True, pass_expr_memo_ctrl=None,\n         catch_eval_exceptions=False,\n         verbose=0,\n         return_argmin=True,\n         points_to_evaluate=None\n         ):\n    \"\"\"Minimize a function over a hyperparameter space.\n\n    More realistically: *explore* a function over a hyperparameter space\n    according to a given algorithm, allowing up to a certain number of\n    function evaluations.  As points are explored, they are accumulated in\n    `trials`\n\n\n    Parameters\n    ----------\n\n    fn : callable (trial point -> loss)\n        This function will be called with a value generated from `space`\n        as the first and possibly only argument.  It can return either\n        a scalar-valued loss, or a dictionary.  A returned dictionary must\n        contain a 'status' key with a value from `STATUS_STRINGS`, must\n        contain a 'loss' key if the status is `STATUS_OK`. Particular\n        optimization algorithms may look for other keys as well.  An\n        optional sub-dictionary associated with an 'attachments' key will\n        be removed by fmin its contents will be available via\n        `trials.trial_attachments`. The rest (usually all) of the returned\n        dictionary will be stored and available later as some 'result'\n        sub-dictionary within `trials.trials`.\n\n    space : hyperopt.pyll.Apply node\n        The set of possible arguments to `fn` is the set of objects\n        that could be created with non-zero probability by drawing randomly\n        from this stochastic program involving involving hp_<xxx> nodes\n        (see `hyperopt.hp` and `hyperopt.pyll_utils`).\n\n    algo : search algorithm\n        This object, such as `hyperopt.rand.suggest` and\n        `hyperopt.tpe.suggest` provides logic for sequential search of the\n        hyperparameter space.\n\n    max_evals : int\n        Allow up to this many function evaluations before returning.\n\n    trials : None or base.Trials (or subclass)\n        Storage for completed, ongoing, and scheduled evaluation points.  If\n        None, then a temporary `base.Trials` instance will be created.  If\n        a trials object, then that trials object will be affected by\n        side-effect of this call.\n\n    rstate : numpy.RandomState, default numpy.random or `$HYPEROPT_FMIN_SEED`\n        Each call to `algo` requires a seed value, which should be different\n        on each call. This object is used to draw these seeds via `randint`.\n        The default rstate is\n        `numpy.random.RandomState(int(env['HYPEROPT_FMIN_SEED']))`\n        if the `HYPEROPT_FMIN_SEED` environment variable is set to a non-empty\n        string, otherwise np.random is used in whatever state it is in.\n\n    verbose : int\n        Print out some information to stdout during search.\n\n    allow_trials_fmin : bool, default True\n        If the `trials` argument\n\n    pass_expr_memo_ctrl : bool, default False\n        If set to True, `fn` will be called in a different more low-level\n        way: it will receive raw hyperparameters, a partially-populated\n        `memo`, and a Ctrl object for communication with this Trials\n        object.\n\n    return_argmin : bool, default True\n        If set to False, this function returns nothing, which can be useful\n        for example if it is expected that `len(trials)` may be zero after\n        fmin, and therefore `trials.argmin` would be undefined.\n\n    points_to_evaluate : list, default None\n        Only works if trials=None. If points_to_evaluate equals None then the\n        trials are evaluated normally. If list of dicts is passed then\n        given points are evaluated before optimisation starts, so the overall\n        number of optimisation steps is len(points_to_evaluate) + max_evals.\n        Elements of this list must be in a form of a dictionary with variable\n        names as keys and variable values as dict values. Example\n        points_to_evaluate value is [{'x': 0.0, 'y': 0.0}, {'x': 1.0, 'y': 2.0}]\n\n    Returns\n    -------\n\n    argmin : None or dictionary\n        If `return_argmin` is False, this function returns nothing.\n        Otherwise, it returns `trials.argmin`.  This argmin can be converted\n        to a point in the configuration space by calling\n        `hyperopt.space_eval(space, best_vals)`.\n\n\n    \"\"\"\n    if rstate is None:\n        env_rseed = os.environ.get('HYPEROPT_FMIN_SEED', '')\n        if env_rseed:\n            rstate = np.random.RandomState(int(env_rseed))\n        else:\n            rstate = np.random.RandomState()\n\n    if allow_trials_fmin and hasattr(trials, 'fmin'):\n        return trials.fmin(\n            fn, space,\n            algo=algo,\n            max_evals=max_evals,\n            rstate=rstate,\n            pass_expr_memo_ctrl=pass_expr_memo_ctrl,\n            verbose=verbose,\n            catch_eval_exceptions=catch_eval_exceptions,\n            return_argmin=return_argmin,\n        )\n\n    if trials is None:\n        if points_to_evaluate is None:\n            trials = base.Trials()\n        else:\n            assert type(points_to_evaluate) == list\n            trials = generate_trials_to_calculate(points_to_evaluate)\n\n    domain = base.Domain(fn, space,\n                         pass_expr_memo_ctrl=pass_expr_memo_ctrl)\n\n    rval = FMinIter(algo, domain, trials, max_evals=max_evals,\n                    rstate=rstate,\n                    verbose=verbose)\n    rval.catch_eval_exceptions = catch_eval_exceptions\n    rval.exhaust()\n    if return_argmin:\n        return trials.argmin\n\n\ndef space_eval(space, hp_assignment):\n    \"\"\"Compute a point in a search space from a hyperparameter assignment.\n\n    Parameters:\n    -----------\n    space - a pyll graph involving hp nodes (see `pyll_utils`).\n\n    hp_assignment - a dictionary mapping hp node labels to values.\n    \"\"\"\n    space = pyll.as_apply(space)\n    nodes = pyll.toposort(space)\n    memo = {}\n    for node in nodes:\n        if node.name == 'hyperopt_param':\n            label = node.arg['label'].eval()\n            if label in hp_assignment:\n                memo[node] = hp_assignment[label]\n    rval = pyll.rec_eval(space, memo=memo)\n    return rval\n\n# -- flake8 doesn't like blank last line\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/graphviz.py",
    "content": "\"\"\"\nUse graphviz's dot language to express the relationship between hyperparamters\nin a search space.\n\n\"\"\"\nfrom __future__ import print_function\nfrom __future__ import absolute_import\nfrom future import standard_library\n\nimport io\nfrom .pyll_utils import expr_to_config\n\nstandard_library.install_aliases()\n\n\ndef dot_hyperparameters(expr):\n    \"\"\"\n    Return a dot language specification of a graph which describes the\n    relationship between hyperparameters. Each hyperparameter within the\n    pyll expression `expr` is represented by a rectangular node, and\n    each value of each choice node that creates a conditional variable\n    in the search space is represented by an elliptical node.\n\n    The direction of the arrows corresponds to the sequence of events\n    in an ancestral sampling process.\n\n    E.g.:\n    >>> open('foo.dot', 'wb').write(dot_hyperparameters(search_space()))\n\n    Then later from the shell, type e.g.\n    dot -Tpng foo.dot > foo.png && eog foo.png\n\n    Graphviz has other tools too: http://www.graphviz.org\n\n    \"\"\"\n    conditions = ()\n    hps = {}\n    expr_to_config(expr, conditions, hps)\n    rval = io.StringIO()\n    print(\"digraph {\", file=rval)\n    edges = set()\n\n    def var_node(a):\n        print('\"%s\" [ shape=box];' % a, file=rval)\n\n    def cond_node(a):\n        print('\"%s\" [ shape=ellipse];' % a, file=rval)\n\n    def edge(a, b):\n        text = '\"%s\" -> \"%s\";' % (a, b)\n        if text not in edges:\n            print(text, file=rval)\n            edges.add(text)\n\n    for hp, dct in list(hps.items()):\n        # create the node\n        var_node(hp)\n\n        # create an edge from anything it depends on\n        for and_conds in dct['conditions']:\n            if len(and_conds) > 1:\n                parent_label = ' & '.join([\n                    '%(name)s%(op)s%(val)s' % cond.__dict__\n                    for cond in and_conds])\n                cond_node(parent_label)\n                edge(parent_label, hp)\n                for cond in and_conds:\n                    sub_parent_label = '%s%s%s' % (\n                        cond.name, cond.op, cond.val)\n                    cond_node(sub_parent_label)\n                    edge(cond.name, sub_parent_label)\n                    edge(sub_parent_label, parent_label)\n            elif len(and_conds) == 1:\n                parent_label = '%s%s%s' % (\n                    and_conds[0].name, and_conds[0].op, and_conds[0].val)\n                edge(and_conds[0].name, parent_label)\n                cond_node(parent_label)\n                edge(parent_label, hp)\n    print(\"}\", file=rval)\n    return rval.getvalue()\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/hp.py",
    "content": "\"\"\"\nSupport nicer user syntax:\n    from hyperopt import hp\n    hp.uniform('x', 0, 1)\n\"\"\"\nfrom __future__ import absolute_import\nfrom .pyll_utils import hp_choice as choice\nfrom .pyll_utils import hp_randint as randint\nfrom .pyll_utils import hp_pchoice as pchoice\n\nfrom .pyll_utils import hp_uniform as uniform\nfrom .pyll_utils import hp_quniform as quniform\nfrom .pyll_utils import hp_loguniform as loguniform\nfrom .pyll_utils import hp_qloguniform as qloguniform\n\nfrom .pyll_utils import hp_normal as normal\nfrom .pyll_utils import hp_qnormal as qnormal\nfrom .pyll_utils import hp_lognormal as lognormal\nfrom .pyll_utils import hp_qlognormal as qlognormal\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/ipy.py",
    "content": "\"\"\"Utilities for Parallel Model Selection with\non\n\nAuthor: James Bergstra <james.bergstra@gmail.com>\nLicensed: MIT\n\"\"\"\nfrom __future__ import print_function\nfrom __future__ import absolute_import\nfrom builtins import zip\nfrom builtins import str\nfrom builtins import object\nfrom time import sleep, time\n\nimport numpy as np\n\nfrom .base import Trials\nfrom .base import Domain\nfrom .base import JOB_STATE_NEW\nfrom .base import JOB_STATE_RUNNING\nfrom .base import JOB_STATE_DONE\nfrom .base import JOB_STATE_ERROR\nfrom .base import spec_from_misc\nfrom .base import Ctrl\nfrom .utils import coarse_utcnow\n\nimport sys\nprint(sys.stderr, \"WARNING: IPythonTrials is not as complete, stable\", file=sys.stderr)\nprint(\"         or well tested as Trials or MongoTrials.\", file=sys.stderr)\n\n\nclass LostEngineError(RuntimeError):\n    \"\"\"An IPEngine disappeared during computation, and a job with it.\"\"\"\n\n\nclass IPythonTrials(Trials):\n\n    def __init__(self, client,\n                 job_error_reaction='raise',\n                 save_ipy_metadata=True):\n        self._client = client\n        self._clientlbv = client.load_balanced_view()\n        self.job_map = {}\n        self.job_error_reaction = job_error_reaction\n        self.save_ipy_metadata = save_ipy_metadata\n        Trials.__init__(self)\n        self._testing_fmin_was_called = False\n\n    def _insert_trial_docs(self, docs):\n        rval = [doc['tid'] for doc in docs]\n        self._dynamic_trials.extend(docs)\n        return rval\n\n    def refresh(self):\n        job_map = {}\n\n        # -- carry over state for active engines\n        for eid in self._client.ids:\n            job_map[eid] = self.job_map.pop(eid, (None, None))\n\n        # -- deal with lost engines, abandoned promises\n        for eid, (p, tt) in list(self.job_map.items()):\n            if self.job_error_reaction == 'raise':\n                raise LostEngineError(p)\n            elif self.job_error_reaction == 'log':\n                tt['error'] = 'LostEngineError (%s)' % str(p)\n                tt['state'] = JOB_STATE_ERROR\n            else:\n                raise ValueError(self.job_error_reaction)\n\n        # -- remove completed jobs from job_map\n        for eid, (p, tt) in list(job_map.items()):\n            if p is None:\n                continue\n            if p.ready():\n                try:\n                    tt['result'] = p.get()\n                    tt['state'] = JOB_STATE_DONE\n                    job_map[eid] = (None, None)\n                except Exception as e:\n                    if self.job_error_reaction == 'raise':\n                        raise\n                    elif self.job_error_reaction == 'log':\n                        tt['error'] = str(e)\n                        tt['state'] = JOB_STATE_ERROR\n                    else:\n                        raise ValueError(self.job_error_reaction)\n                if self.save_ipy_metadata:\n                    tt['ipy_metadata'] = p.metadata\n                tt['refresh_time'] = coarse_utcnow()\n                del job_map[eid]\n\n        self.job_map = job_map\n        Trials.refresh(self)\n\n    def fmin(self, fn, space, **kw):\n        # TODO: all underscore variables are completely unused throughout.\n        algo = kw.get('algo')\n        max_evals = kw.get('max_evals')\n        rstate = kw.get('rstate', None)\n        _allow_trials_fmin = True,\n        _pass_expr_memo_ctrl = None,\n        _catch_eval_exceptions = False,\n        verbose = kw.get('verbose', 0)\n        _return_argmin = True,\n        wait = True,\n        pass_expr_memo_ctrl = None,\n\n        if rstate is None:\n            rstate = np.random\n\n        # -- used in test_ipy\n        self._testing_fmin_was_called = True\n\n        if pass_expr_memo_ctrl is None:\n            try:\n                pass_expr_memo_ctrl = fn.pass_expr_memo_ctrl\n            except AttributeError:\n                pass_expr_memo_ctrl = False\n\n        domain = Domain(fn, space, None,\n                        pass_expr_memo_ctrl=False)\n\n        last_print_time = 0\n\n        while len(self._dynamic_trials) < max_evals:\n            self.refresh()\n\n            if verbose and last_print_time + 1 < time():\n                print('fmin: %4i/%4i/%4i/%4i  %f' % (\n                    self.count_by_state_unsynced(JOB_STATE_NEW),\n                    self.count_by_state_unsynced(JOB_STATE_RUNNING),\n                    self.count_by_state_unsynced(JOB_STATE_DONE),\n                    self.count_by_state_unsynced(JOB_STATE_ERROR),\n                    min([float('inf')] + [l for l in self.losses() if l is not None])\n                ))\n                last_print_time = time()\n\n            idles = [eid for (eid, (p, tt)) in list(self.job_map.items()) if p is None]\n\n            if idles:\n                new_ids = self.new_trial_ids(len(idles))\n                new_trials = algo(new_ids, domain, self, rstate.randint(2 ** 31 - 1))\n                if len(new_trials) == 0:\n                    break\n                else:\n                    assert len(idles) >= len(new_trials)\n                    for eid, new_trial in zip(idles, new_trials):\n                        now = coarse_utcnow()\n                        new_trial['book_time'] = now\n                        new_trial['refresh_time'] = now\n                        tid, = self.insert_trial_docs([new_trial])\n                        promise = call_domain(\n                            domain,\n                            spec_from_misc(new_trial['misc']),\n                            Ctrl(self, current_trial=new_trial),\n                            new_trial,\n                            self._clientlbv,\n                            eid,\n                            tid,\n                        )\n\n                        # -- XXX bypassing checks because 'ar'\n                        # is not ok for SONify... but should check\n                        # for all else being SONify\n\n                        tt = self._dynamic_trials[-1]\n                        assert tt['tid'] == tid\n                        self.job_map[eid] = (promise, tt)\n                        tt['state'] = JOB_STATE_RUNNING\n\n        if wait:\n            if verbose:\n                print('fmin: Waiting on remaining jobs...')\n            self.wait(verbose=verbose)\n\n        return self.argmin\n\n    def wait(self, verbose=False, verbose_print_interval=1.0):\n        last_print_time = 0\n        while True:\n            self.refresh()\n            if verbose and last_print_time + verbose_print_interval < time():\n                print('fmin: %4i/%4i/%4i/%4i  %f' % (\n                    self.count_by_state_unsynced(JOB_STATE_NEW),\n                    self.count_by_state_unsynced(JOB_STATE_RUNNING),\n                    self.count_by_state_unsynced(JOB_STATE_DONE),\n                    self.count_by_state_unsynced(JOB_STATE_ERROR),\n                    min([float('inf')] +\n                        [l for l in self.losses() if l is not None])\n                ))\n                last_print_time = time()\n            if self.count_by_state_unsynced(JOB_STATE_NEW):\n                sleep(1e-1)\n                continue\n            if self.count_by_state_unsynced(JOB_STATE_RUNNING):\n                sleep(1e-1)\n                continue\n            break\n\n    def __getstate__(self):\n        rval = dict(self.__dict__)\n        del rval['_client']\n        del rval['_trials']\n        del rval['job_map']\n        # print rval.keys()\n        return rval\n\n    def __setstate__(self, dct):\n        self.__dict__ = dct\n        self.job_map = {}\n        Trials.refresh(self)\n\n\n# Monkey patching to allow the apply_async call and response to\n# be handled on behalf of the domain.\nclass IPYAsync(object):\n\n    def __init__(self, asynchronous, domain, rv, eid, tid, ctrl):\n        self.asynchronous = asynchronous\n        self.domain = domain\n        self.rv = rv\n        self.metadata = self.asynchronous.metadata\n        self.eid = eid\n        self.tid = tid\n        self.ctrl = ctrl\n\n    def ready(self):\n        return self.asynchronous.ready()\n\n    def get(self):\n        if self.asynchronous.successful():\n            val = self.asynchronous.get()\n            return self.domain.evaluate_async2(val, self.ctrl)\n        else:\n            return self.rv\n    pass\n\n# @interactive\n\n\ndef call_domain(domain, spec, ctrl, trial, view, eid, tid):\n    rv = {'loss': None, 'status': 'fail'}\n    # TODO: rt unused\n    rt = coarse_utcnow()\n    # print \"in call domain for spec\", str(spec)\n    promise = None\n    fn, pyll_rval = domain.evaluate_async(spec, ctrl)\n    promise = IPYAsync(view.apply_async(fn, pyll_rval), domain, rv, eid, tid, ctrl)\n\n    return promise\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/main.py",
    "content": "#!/usr/bin/env python\n\n\"\"\"\nEntry point for bin/* scripts\n\"\"\"\nfrom __future__ import absolute_import\nfrom future import standard_library\nimport logging\nimport os\nfrom . import utils\nfrom .base import SerialExperiment\nimport sys\n\nstandard_library.install_aliases()\nlogger = logging.getLogger(__name__)\n\n\ntry:\n    import dill as pickler\nexcept Exception as e:\n    logger.info('Failed to load dill, try installing dill via \"pip install dill\" for enhanced pickling support.')\n    import six.moves.cPickle as pickler\n\n__authors__ = \"James Bergstra\"\n__license__ = \"3-clause BSD License\"\n__contact__ = \"github.com/hyperopt/hyperopt\"\n\n\ndef main_search():\n    from optparse import OptionParser\n    parser = OptionParser(\n        usage=\"%prog [options] [<bandit> <bandit_algo>]\")\n    parser.add_option('--load',\n                      default='',\n                      dest=\"load\",\n                      metavar='FILE',\n                      help=\"unpickle experiment from here on startup\")\n    parser.add_option('--save',\n                      default='experiment.pkl',\n                      dest=\"save\",\n                      metavar='FILE',\n                      help=\"pickle experiment to here on exit\")\n    parser.add_option(\"--steps\",\n                      dest='steps',\n                      default='100',\n                      metavar='N',\n                      help=\"exit after queuing this many jobs (default: 100)\")\n    parser.add_option(\"--workdir\",\n                      dest=\"workdir\",\n                      default=os.path.expanduser('~/.hyperopt.workdir'),\n                      help=\"create workdirs here\",\n                      metavar=\"DIR\")\n    parser.add_option(\"--bandit-argfile\",\n                      dest=\"bandit_argfile\",\n                      default=None,\n                      help=\"path to file containing arguments bandit constructor \\\n                  file format: pickle of dictionary containing two keys,\\\n                  {'args' : tuple of positional arguments, \\\n                   'kwargs' : dictionary of keyword arguments}\")\n    parser.add_option(\"--bandit-algo-argfile\",\n                      dest=\"bandit_algo_argfile\",\n                      default=None,\n                      help=\"path to file containing arguments for bandit_algo \"\n                      \"constructor.  File format is pickled dictionary containing \"\n                      \"two keys: 'args', a tuple of positional arguments, and \"\n                      \"'kwargs', a dictionary of keyword arguments. \"\n                      \"NOTE: bandit is pre-pended as first element of arg tuple.\")\n\n    (options, args) = parser.parse_args()\n    try:\n        bandit_json, bandit_algo_json = args\n    except:\n        parser.print_help()\n        return -1\n\n    try:\n        if not options.load:\n            raise IOError()\n        handle = open(options.load, 'rb')\n        self = pickler.load(handle)\n        handle.close()\n    except IOError:\n        bandit = utils.get_obj(bandit_json, argfile=options.bandit_argfile)\n        bandit_algo = utils.get_obj(bandit_algo_json,\n                                    argfile=options.bandit_algo_argfile,\n                                    args=(bandit,))\n        self = SerialExperiment(bandit_algo)\n\n    try:\n        self.run(int(options.steps))\n    finally:\n        if options.save:\n            pickler.dump(self, open(options.save, 'wb'))\n\n\ndef main(cmd, fn_pos=1):\n    \"\"\"\n    Entry point for bin/* scripts\n    XXX\n    \"\"\"\n    logging.basicConfig(\n        stream=sys.stderr,\n        level=logging.INFO)\n    try:\n        runner = dict(\n            search='main_search',\n            dryrun='main_dryrun',\n            plot_history='main_plot_history',\n        )[cmd]\n    except KeyError:\n        logger.error(\"Command not recognized: %s\" % cmd)\n        # XXX: Usage message\n        sys.exit(1)\n    try:\n        # TODO: argv1 never used\n        argv1 = sys.argv[fn_pos]\n    except IndexError:\n        logger.error('Module name required (XXX: print Usage)')\n        return 1\n\n    # TODO: datasets is not imported at this point\n    fn = datasets.main.load_tokens(sys.argv[fn_pos].split('.') + [runner])\n    sys.exit(fn(sys.argv[fn_pos + 1:]))\n\nif __name__ == '__main__':\n    cmd = sys.argv[1]\n    sys.exit(main(cmd, 2))\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/mix.py",
    "content": "from builtins import zip\nimport numpy as np\n\n\ndef suggest(new_ids, domain, trials, seed, p_suggest):\n    \"\"\"Return the result of a randomly-chosen suggest function\n\n    For exampl to search by sometimes using random search, sometimes anneal,\n    and sometimes tpe, type:\n\n        fmin(...,\n            algo=partial(mix.suggest,\n                p_suggest=[\n                    (.1, rand.suggest),\n                    (.2, anneal.suggest),\n                    (.7, tpe.suggest),]),\n            )\n\n\n    Parameters\n    ----------\n\n    p_suggest: list of (probability, suggest) pairs\n        Make a suggestion from one of the suggest functions,\n        in proportion to its corresponding probability.\n        sum(probabilities) must be [close to] 1.0\n\n    \"\"\"\n    rng = np.random.RandomState(seed)\n    ps, suggests = list(zip(*p_suggest))\n    assert len(ps) == len(suggests) == len(p_suggest)\n    if not np.isclose(sum(ps), 1.0):\n        raise ValueError('Probabilities should sum to 1', ps)\n    idx = rng.multinomial(n=1, pvals=ps).argmax()\n    return suggests[idx](new_ids, domain, trials,\n                         seed=int(rng.randint(2 ** 31)))\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/mongoexp.py",
    "content": "\"\"\"\nMongodb-based Trials Object\n===========================\n\nComponents involved:\n\n- mongo\n    e.g. mongod ...\n\n- driver\n    e.g. hyperopt-mongo-search mongo://address bandit_json bandit_algo_json\n\n- worker\n    e.g. hyperopt-mongo-worker --loop mongo://address\n\n\nMongo\n=====\n\nMongo (daemon process mongod) is used for IPC between the driver and worker.\nConfigure it as you like, so that hyperopt-mongo-search can communicate with it.\nI think there is some support in this file for an ssh+mongo connection type.\n\nThe experiment uses the following collections for IPC:\n\n* jobs - documents of a standard form used to store suggested trials and their\n    results.  These documents have keys:\n    * spec : subdocument returned by bandit_algo.suggest\n    * exp_key: an identifier of which driver suggested this trial\n    * cmd: a tuple (protocol, ...) identifying bandit.evaluate\n    * state: 0, 1, 2, 3 for job state (new, running, ok, fail)\n    * owner: None for new jobs, (hostname, pid) for started jobs\n    * book_time: time a job was reserved\n    * refresh_time: last time the process running the job checked in\n    * result: the subdocument returned by bandit.evaluate\n    * error: for jobs of state 3, a reason for failure.\n    * logs: a dict of sequences of strings received by ctrl object\n        * info: info messages\n        * warn: warning messages\n        * error: error messages\n\n* fs - a gridfs storage collection (used for pickling)\n\n* drivers - documents describing drivers. These are used to prevent two drivers\n    from using the same exp_key simultaneously, and to attach saved states.\n    * exp_key\n    * workdir: [optional] path where workers should chdir to\n    Attachments:\n        * pkl: [optional] saved state of experiment class\n        * bandit_args_kwargs: [optional] pickled (clsname, args, kwargs) to\n             reconstruct bandit in worker processes\n\nThe MongoJobs, and CtrlObj classes as well as the main_worker\nmethod form the abstraction barrier around this database layout.\n\n\nWorker\n======\n\nA worker looks up a job in a mongo database, maps that job document to a\nrunnable python object, calls that object, and writes the return value back to\nthe database.\n\nA worker *reserves* a job by atomically identifying a document in the jobs\ncollection whose owner is None and whose state is 0, and setting the state to\n1.  If it fails to identify such a job, it loops with a random sleep interval\nof a few seconds and polls the database.\n\nIf hyperopt-mongo-worker is called with a --loop argument then it goes back to\nthe database after finishing a job to identify and perform another one.\n\nCtrlObj\n-------\n\nThe worker allocates a CtrlObj and passes it to bandit.evaluate in addition to\nthe subdocument found at job['spec'].  A bandit can use ctrl.info, ctrl.warn,\nctrl.error and so on like logger methods, and those messages will be written\nto the mongo database (to job['logs']).  They are not written synchronously\nthough, they are written when the bandit.evaluate function calls\nctrl.checkpoint().\n\nCtrl.checkpoint does several things:\n* flushes logging messages to the database\n* updates the refresh_time\n* optionally updates the result subdocument\n\nThe main_worker routine calls Ctrl.checkpoint(rval) once after the\nbandit.evalute function has returned before setting the state to 2 or 3 to\nfinalize the job in the database.\n\n\"\"\"\nfrom __future__ import print_function\nfrom __future__ import absolute_import\nfrom future import standard_library\nimport copy\n# import hashlib\nimport logging\nimport optparse\nimport os\n# import shutil\nimport signal\nimport socket\nimport subprocess\nimport sys\nimport time\nimport urllib.parse\nimport warnings\n\nimport numpy\nimport pymongo\nimport gridfs\nfrom bson import SON\n\nfrom .base import JOB_STATES\nfrom .base import (JOB_STATE_NEW, JOB_STATE_RUNNING, JOB_STATE_DONE,\n                   JOB_STATE_ERROR)\nfrom .base import Trials\nfrom .base import InvalidTrial\nfrom .base import Ctrl\nfrom .base import SONify\nfrom .base import spec_from_misc\nfrom .utils import coarse_utcnow\nfrom .utils import fast_isin\nfrom .utils import get_most_recent_inds\nfrom .utils import json_call\nfrom .utils import working_dir, temp_dir\nimport six\nfrom six.moves import map\nfrom six.moves import range\n\n__authors__ = [\"James Bergstra\", \"Dan Yamins\"]\n__license__ = \"3-clause BSD License\"\n__contact__ = \"github.com/hyperopt/hyperopt\"\n\nstandard_library.install_aliases()\nlogger = logging.getLogger(__name__)\n\ntry:\n    import dill as pickler\nexcept Exception as e:\n    logger.info('Failed to load dill, try installing dill via \"pip install dill\" for enhanced pickling support.')\n    import six.moves.cPickle as pickler\n\n\nclass OperationFailure(Exception):\n    \"\"\"Proxy that could be factored out if we also want to use CouchDB and\n    JobmanDB classes with this interface\n    \"\"\"\n\n\nclass Shutdown(Exception):\n    \"\"\"\n    Exception for telling mongo_worker loop to quit\n    \"\"\"\n\n\nclass WaitQuit(Exception):\n    \"\"\"\n    Exception for telling mongo_worker loop to quit\n    \"\"\"\n\n\nclass InvalidMongoTrial(InvalidTrial):\n    pass\n\n\nclass DomainSwapError(Exception):\n    \"\"\"Raised when the search program tries to change the bandit attached to\n    an experiment.\n    \"\"\"\n\n\nclass ReserveTimeout(Exception):\n    \"\"\"No job was reserved in the alotted time\n    \"\"\"\n\n\ndef read_pw():\n    return open(os.path.join(os.getenv('HOME'), \".hyperopt\")).read()[:-1]\n\n\ndef parse_url(url, pwfile=None):\n    \"\"\"Unpacks a url of the form\n        protocol://[username[:pw]]@hostname[:port]/db/collection\n\n    :rtype: tuple of strings\n    :returns: protocol, username, password, hostname, port, dbname, collection\n\n    :note:\n    If the password is not given in the url but the username is, then\n    this function will read the password from file by calling\n    ``open(pwfile).read()[:-1]``\n\n    \"\"\"\n\n    protocol = url[:url.find(':')]\n    ftp_url = 'ftp' + url[url.find(':'):]\n\n    # -- parse the string as if it were an ftp address\n    tmp = urllib.parse.urlparse(ftp_url)\n    query_params = urllib.parse.parse_qs(tmp.query)\n\n    logger.info('PROTOCOL %s' % protocol)\n    logger.info('USERNAME %s' % tmp.username)\n    logger.info('HOSTNAME %s' % tmp.hostname)\n    logger.info('PORT %s' % tmp.port)\n    logger.info('PATH %s' % tmp.path)\n    \n    authdbname = None\n    if 'authSource' in query_params and len(query_params['authSource']):\n        authdbname = query_params['authSource'][-1]\n        \n    logger.info('AUTH DB %s' % authdbname)\n    \n    try:\n        _, dbname, collection = tmp.path.split('/')\n    except:\n        print(\"Failed to parse '%s'\" % (str(tmp.path)), file=sys.stderr)\n        raise\n    logger.info('DB %s' % dbname)\n    logger.info('COLLECTION %s' % collection)\n\n    if tmp.password is None:\n        if (tmp.username is not None) and pwfile:\n            password = open(pwfile).read()[:-1]\n        else:\n            password = None\n    else:\n        password = tmp.password\n    if password is not None:\n        logger.info('PASS ***')\n    port = int(float(tmp.port))  # port has to be casted explicitly here.\n\n    return (protocol, tmp.username, password, tmp.hostname, port, dbname, collection, authdbname)\n\n\ndef connection_with_tunnel(dbname, host='localhost',\n                           auth_dbname=None, port=27017,\n                           ssh=False, user='hyperopt', pw=None):\n    if ssh:\n        local_port = numpy.random.randint(low=27500, high=28000)\n        # -- forward from local to remote machine\n        ssh_tunnel = subprocess.Popen(\n            ['ssh', '-NTf', '-L',\n                    '%i:%s:%i' % (local_port, '127.0.0.1', port),\n                    host],\n        )\n        # -- give the subprocess time to set up\n        time.sleep(.5)\n        connection = pymongo.MongoClient('127.0.0.1', local_port,\n                                         document_class=SON, w=1, j=True)\n    else:\n        connection = pymongo.MongoClient(host, port, document_class=SON, w=1, j=True)\n        if user:\n            if not pw:\n                pw = read_pw()\n                \n            if user == 'hyperopt' and not auth_dbname:\n                auth_dbname = 'admin'\n                    \n            connection[dbname].authenticate(user, pw, source=auth_dbname)\n            \n        ssh_tunnel = None\n\n    # Note that the w=1 and j=True args to MongoClient above should:\n    # -- Ensure that changes are written to at least one server.\n    # -- Ensure that changes are written to the journal if there is one.\n\n    return connection, ssh_tunnel\n\n\ndef connection_from_string(s):\n    protocol, user, pw, host, port, db, collection, authdb = parse_url(s)\n    if protocol == 'mongo':\n        ssh = False\n    elif protocol in ('mongo+ssh', 'ssh+mongo'):\n        ssh = True\n    else:\n        raise ValueError('unrecognized protocol for MongoJobs', protocol)\n    connection, tunnel = connection_with_tunnel(\n        dbname=db,\n        ssh=ssh,\n        user=user,\n        pw=pw,\n        host=host,\n        port=port,\n        auth_dbname=authdb\n    )\n    return connection, tunnel, connection[db], connection[db][collection]\n\n\nclass MongoJobs(object):\n    \"\"\"\n    # Interface to a Jobs database structured like this\n    #\n    # Collections:\n    #\n    # db.jobs - structured {config_name, 'cmd', 'owner', 'book_time',\n    #                  'refresh_time', 'state', 'exp_key', 'owner', 'result'}\n    #    This is the collection that the worker nodes write to\n    #\n    # db.gfs - file storage via gridFS for all collections\n    #\n    \"\"\"\n\n    def __init__(self, db, jobs, gfs, conn, tunnel, config_name):\n        \"\"\"\n        Parameters\n        ----------\n\n        db - Mongo Database (e.g. `Connection()[dbname]`)\n            database in which all job-related info is stored\n\n        jobs - Mongo Collection handle\n            collection within `db` to use for job arguments, return vals,\n            and various bookkeeping stuff and meta-data. Typically this is\n            `db['jobs']`\n\n        gfs - Mongo GridFS handle\n            GridFS is used to store attachments - binary blobs that don't fit\n            or are awkward to store in the `jobs` collection directly.\n\n        conn - Mongo Connection\n            Why we need to keep this, I'm not sure.\n\n        tunnel - something for ssh tunneling if you're doing that\n            See `connection_with_tunnel` for more info.\n\n        config_name - string\n            XXX: No idea what this is for, seems unimportant.\n\n        \"\"\"\n        self.db = db\n        self.jobs = jobs\n        self.gfs = gfs\n        self.conn = conn\n        self.tunnel = tunnel\n        self.config_name = config_name\n\n    # TODO: rename jobs -> coll throughout\n    coll = property(lambda s: s.jobs)\n\n    @classmethod\n    def alloc(cls, dbname, host='localhost',\n              auth_dbname='admin', port=27017,\n              jobs_coll='jobs', gfs_coll='fs', ssh=False, user=None, pw=None):\n        connection, tunnel = connection_with_tunnel(\n            dbname, host, auth_dbname, port, ssh, user, pw)\n        db = connection[dbname]\n        gfs = gridfs.GridFS(db, collection=gfs_coll)\n        return cls(db, db[jobs_coll], gfs, connection, tunnel)\n\n    @classmethod\n    def new_from_connection_str(cls, conn_str, gfs_coll='fs', config_name='spec'):\n        connection, tunnel, db, coll = connection_from_string(conn_str)\n        gfs = gridfs.GridFS(db, collection=gfs_coll)\n        return cls(db, coll, gfs, connection, tunnel, config_name)\n\n    def __iter__(self):\n        return self.jobs.find()\n\n    def __len__(self):\n        try:\n            return self.jobs.count()\n        except:\n            return 0\n\n    def create_jobs_indexes(self):\n        jobs = self.db.jobs\n        for k in ['exp_key', 'result.loss', 'book_time']:\n            jobs.create_index(k)\n\n    def create_drivers_indexes(self):\n        drivers = self.db.drivers\n        drivers.create_index('exp_key', unique=True)\n\n    def create_indexes(self):\n        self.create_jobs_indexes()\n        self.create_drivers_indexes()\n\n    def jobs_complete(self, cursor=False):\n        c = self.jobs.find(filter=dict(state=JOB_STATE_DONE))\n        return c if cursor else list(c)\n\n    def jobs_error(self, cursor=False):\n        c = self.jobs.find(filter=dict(state=JOB_STATE_ERROR))\n        return c if cursor else list(c)\n\n    def jobs_running(self, cursor=False):\n        if cursor:\n            raise NotImplementedError()\n        rval = list(self.jobs.find(filter=dict(state=JOB_STATE_RUNNING)))\n        # TODO: mark some as MIA\n        rval = [r for r in rval if not r.get('MIA', False)]\n        return rval\n\n    def jobs_dead(self, cursor=False):\n        if cursor:\n            raise NotImplementedError()\n        rval = list(self.jobs.find(filter=dict(state=JOB_STATE_RUNNING)))\n        # TODO: mark some as MIA\n        rval = [r for r in rval if r.get('MIA', False)]\n        return rval\n\n    def jobs_queued(self, cursor=False):\n        c = self.jobs.find(filter=dict(state=JOB_STATE_NEW))\n        return c if cursor else list(c)\n\n    def insert(self, job):\n        \"\"\"Return a job dictionary by inserting the job dict into the database\"\"\"\n        try:\n            cpy = copy.deepcopy(job)\n            # -- this call adds an _id field to cpy\n            _id = self.jobs.insert(cpy, check_keys=True)\n            # -- so now we return the dict with the _id field\n            assert _id == cpy['_id']\n            return cpy\n        except pymongo.errors.OperationFailure as e:\n            # -- translate pymongo error class into hyperopt error class\n            #    This was meant to make it easier to catch insertion errors\n            #    in a generic way even if different databases were used.\n            #    ... but there's just MongoDB so far, so kinda goofy.\n            raise OperationFailure(e)\n\n    def delete(self, job):\n        \"\"\"Delete job[s]\"\"\"\n        try:\n            self.jobs.remove(job)\n        except pymongo.errors.OperationFailure as e:\n            # -- translate pymongo error class into hyperopt error class\n            #    see insert() code for rationale.\n            raise OperationFailure(e)\n\n    def delete_all(self, cond=None):\n        \"\"\"Delete all jobs and attachments\"\"\"\n        if cond is None:\n            cond = {}\n        try:\n            for d in self.jobs.find(filter=cond, projection=['_id', '_attachments']):\n                logger.info('deleting job %s' % d['_id'])\n                for name, file_id in d.get('_attachments', []):\n                    try:\n                        self.gfs.delete(file_id)\n                    except gridfs.errors.NoFile:\n                        logger.error('failed to remove attachment %s:%s' % (\n                            name, file_id))\n                self.jobs.remove(d)\n        except pymongo.errors.OperationFailure as e:\n            # -- translate pymongo error class into hyperopt error class\n            #    see insert() code for rationale.\n            raise OperationFailure(e)\n\n    def delete_all_error_jobs(self):\n        return self.delete_all(cond={'state': JOB_STATE_ERROR})\n\n    def reserve(self, host_id, cond=None, exp_key=None):\n        now = coarse_utcnow()\n        if cond is None:\n            cond = {}\n        else:\n            cond = copy.copy(cond)  # copy is important, will be modified, but only the top-level\n\n        if exp_key is not None:\n            cond['exp_key'] = exp_key\n\n        # having an owner of None implies state==JOB_STATE_NEW, so this effectively\n        # acts as a filter to make sure that only new jobs get reserved.\n        if cond.get('owner') is not None:\n            raise ValueError('refusing to reserve owned job')\n        else:\n            cond['owner'] = None\n            cond['state'] = JOB_STATE_NEW  # theoretically this is redundant, theoretically\n\n        try:\n            rval = self.jobs.find_and_modify(\n                cond,\n                {'$set':\n                    {'owner': host_id,\n                     'book_time': now,\n                     'state': JOB_STATE_RUNNING,\n                     'refresh_time': now,\n                     }\n                 },\n                new=True,\n                upsert=False)\n        except pymongo.errors.OperationFailure as e:\n            logger.error('Error during reserve_job: %s' % str(e))\n            rval = None\n        return rval\n\n    def refresh(self, doc):\n        self.update(doc, dict(refresh_time=coarse_utcnow()))\n\n    def update(self, doc, dct, collection=None, do_sanity_checks=True):\n        \"\"\"Return union of doc and dct, after making sure that dct has been\n        added to doc in `collection`.\n\n        This function does not modify either `doc` or `dct`.\n\n        \"\"\"\n        if collection is None:\n            collection = self.coll\n\n        dct = copy.deepcopy(dct)\n        if '_id' not in doc:\n            raise ValueError('doc must have an \"_id\" key to be updated')\n\n        if '_id' in dct:\n            if dct['_id'] != doc['_id']:\n                raise ValueError('cannot update the _id field')\n            del dct['_id']\n\n        if 'version' in dct:\n            if dct['version'] != doc['version']:\n                warnings.warn('Ignoring \"version\" field in update dictionary')\n\n        if 'version' in doc:\n            doc_query = dict(_id=doc['_id'], version=doc['version'])\n            dct['version'] = doc['version'] + 1\n        else:\n            doc_query = dict(_id=doc['_id'])\n            dct['version'] = 1\n        try:\n            # warning - if doc matches nothing then this function succeeds\n            # N.B. this matches *at most* one entry, and possibly zero\n            collection.update(\n                doc_query,\n                {'$set': dct},\n                upsert=False,\n                multi=False,)\n        except pymongo.errors.OperationFailure as e:\n            # -- translate pymongo error class into hyperopt error class\n            #    see insert() code for rationale.\n            raise OperationFailure(e)\n\n        # update doc in-place to match what happened on the server side\n        doc.update(dct)\n\n        if do_sanity_checks:\n            server_doc = collection.find_one(\n                dict(_id=doc['_id'], version=doc['version']))\n            if server_doc is None:\n                raise OperationFailure('updated doc not found : %s'\n                                       % str(doc))\n            elif server_doc != doc:\n                if 0:  # This is all commented out because it is tripping on the fact that\n                    # str('a') != unicode('a').\n                    # TODO: eliminate false alarms and catch real ones\n                    mismatching_keys = []\n                    for k, v in list(server_doc.items()):\n                        if k in doc:\n                            if doc[k] != v:\n                                mismatching_keys.append((k, v, doc[k]))\n                        else:\n                            mismatching_keys.append((k, v, '<missing>'))\n                    for k, v in list(doc.items()):\n                        if k not in server_doc:\n                            mismatching_keys.append((k, '<missing>', v))\n\n                    raise OperationFailure('local and server doc documents are out of sync: %s' %\n                                           repr((doc, server_doc, mismatching_keys)))\n        return doc\n\n    def attachment_names(self, doc):\n        def as_str(name_id):\n            assert isinstance(name_id[0], six.string_types), name_id\n            return str(name_id[0])\n        return list(map(as_str, doc.get('_attachments', [])))\n\n    def set_attachment(self, doc, blob, name, collection=None):\n        \"\"\"Attach potentially large data string `blob` to `doc` by name `name`\n\n        blob must be a string\n\n        doc must have been saved in some collection (must have an _id), but not\n        necessarily the jobs collection.\n\n        name must be a string\n\n        Returns None\n        \"\"\"\n\n        # If there is already a file with the given name for this doc, then we will delete it\n        # after writing the new file\n        attachments = doc.get('_attachments', [])\n        name_matches = [a for a in attachments if a[0] == name]\n\n        # the filename is set to something so that fs.list() will display the file\n        new_file_id = self.gfs.put(blob, filename='%s_%s' % (doc['_id'], name))\n        logger.info('stored blob of %i bytes with id=%s and filename %s_%s' % (\n            len(blob), str(new_file_id), doc['_id'], name))\n\n        new_attachments = ([a for a in attachments if a[0] != name] +\n                           [(name, new_file_id)])\n\n        try:\n            ii = 0\n            doc = self.update(doc, {'_attachments': new_attachments},\n                              collection=collection)\n            # there is a database leak until we actually delete the files that\n            # are no longer pointed to by new_attachments\n            while ii < len(name_matches):\n                self.gfs.delete(name_matches[ii][1])\n                ii += 1\n        except:\n            while ii < len(name_matches):\n                logger.warning(\"Leak during set_attachment: old_file_id=%s\" % (\n                    name_matches[ii][1]))\n                ii += 1\n            raise\n        assert len([n for n in self.attachment_names(doc) if n == name]) == 1\n        # return new_file_id\n\n    def get_attachment(self, doc, name):\n        \"\"\"Retrieve data attached to `doc` by `attach_blob`.\n\n        Raises OperationFailure if `name` does not correspond to an attached blob.\n\n        Returns the blob as a string.\n        \"\"\"\n        attachments = doc.get('_attachments', [])\n        file_ids = [a[1] for a in attachments if a[0] == name]\n        if not file_ids:\n            raise OperationFailure('Attachment not found: %s' % name)\n        if len(file_ids) > 1:\n            raise OperationFailure('multiple name matches', (name, file_ids))\n        return self.gfs.get(file_ids[0]).read()\n\n    def delete_attachment(self, doc, name, collection=None):\n        attachments = doc.get('_attachments', [])\n        file_id = None\n        for i, a in enumerate(attachments):\n            if a[0] == name:\n                file_id = a[1]\n                break\n        if file_id is None:\n            raise OperationFailure('Attachment not found: %s' % name)\n        del attachments[i]\n        self.update(doc, {'_attachments': attachments}, collection=collection)\n        self.gfs.delete(file_id)\n\n\nclass MongoTrials(Trials):\n    \"\"\"Trials maps on to an entire mongo collection. It's basically a wrapper\n    around MongoJobs for now.\n\n    As a concession to performance, this object permits trial filtering based\n    on the exp_key, but I feel that's a hack. The case of `cmd` is similar--\n    the exp_key and cmd are semantically coupled.\n\n    WRITING TO THE DATABASE\n    -----------------------\n    The trials object is meant for *reading* a trials database. Writing\n    to a database is different enough from writing to an in-memory\n    collection that no attempt has been made to abstract away that\n    difference.  If you want to update the documents within\n    a MongoTrials collection, then retrieve the `.handle` attribute (a\n    MongoJobs instance) and use lower-level methods, or pymongo's\n    interface directly.  When you are done writing, call refresh() or\n    refresh_tids() to bring the MongoTrials up to date.\n    \"\"\"\n    asynchronous = True\n\n    def __init__(self, arg, exp_key=None, cmd=None, workdir=None,\n                 refresh=True):\n        if isinstance(arg, MongoJobs):\n            self.handle = arg\n        else:\n            connection_string = arg\n            self.handle = MongoJobs.new_from_connection_str(connection_string)\n        self.handle.create_indexes()\n        self._exp_key = exp_key\n        self.cmd = cmd\n        self.workdir = workdir\n        if refresh:\n            self.refresh()\n\n    def view(self, exp_key=None, cmd=None, workdir=None, refresh=True):\n        rval = self.__class__(self.handle,\n                              exp_key=self._exp_key if exp_key is None else exp_key,\n                              cmd=self.cmd if cmd is None else cmd,\n                              workdir=self.workdir if workdir is None else workdir,\n                              refresh=refresh)\n        return rval\n\n    def refresh_tids(self, tids):\n        \"\"\" Sync documents with `['tid']` in the list of `tids` from the\n        database (not *to* the database).\n\n        Local trial documents whose tid is not in `tids` are not\n        affected by this call.  Local trial documents whose tid is in `tids` may\n        be:\n\n        * *deleted* (if db no longer has corresponding document), or\n        * *updated* (if db has an updated document) or,\n        * *left alone* (if db document matches local one).\n\n        Additionally, if the db has a matching document, but there is no\n        local trial with a matching tid, then the db document will be\n        *inserted* into the local collection.\n\n        \"\"\"\n        exp_key = self._exp_key\n        if exp_key != None:\n            query = {'exp_key': exp_key}\n        else:\n            query = {}\n        t0 = time.time()\n        query['state'] = {'$ne': JOB_STATE_ERROR}\n        if tids is not None:\n            query['tid'] = {'$in': list(tids)}\n        orig_trials = getattr(self, '_trials', [])\n        _trials = orig_trials[:]  # copy to make sure it doesn't get screwed up\n        if _trials:\n            db_data = list(self.handle.jobs.find(query,\n                                                 projection=['_id', 'version']))\n            # -- pull down a fresh list of ids from mongo\n            if db_data:\n                # make numpy data arrays\n                db_data = numpy.rec.array([(x['_id'], int(x['version']))\n                                           for x in db_data],\n                                          names=['_id', 'version'])\n                db_data.sort(order=['_id', 'version'])\n                db_data = db_data[get_most_recent_inds(db_data)]\n\n                existing_data = numpy.rec.array([(x['_id'],\n                                                  int(x['version'])) for x in _trials],\n                                                names=['_id', 'version'])\n                existing_data.sort(order=['_id', 'version'])\n\n                # which records are in db but not in existing, and vice versa\n                db_in_existing = fast_isin(db_data['_id'], existing_data['_id'])\n                existing_in_db = fast_isin(existing_data['_id'], db_data['_id'])\n\n                # filtering out out-of-date records\n                _trials = [_trials[_ind] for _ind in existing_in_db.nonzero()[0]]\n\n                # new data is what's in db that's not in existing\n                new_data = db_data[numpy.invert(db_in_existing)]\n\n                # having removed the new and out of data data,\n                # concentrating on data in db and existing for state changes\n                db_data = db_data[db_in_existing]\n                existing_data = existing_data[existing_in_db]\n                try:\n                    assert len(db_data) == len(existing_data)\n                    assert (existing_data['_id'] == db_data['_id']).all()\n                    assert (existing_data['version'] <= db_data['version']).all()\n                except:\n                    reportpath = os.path.join(os.getcwd(),\n                                              'hyperopt_refresh_crash_report_' +\n                                              str(numpy.random.randint(1e8)) + '.pkl')\n                    logger.error('HYPEROPT REFRESH ERROR: writing error file to %s' % reportpath)\n                    _file = open(reportpath, 'w')\n                    pickler.dump({'db_data': db_data,\n                                 'existing_data': existing_data},\n                                _file)\n                    _file.close()\n                    raise\n\n                same_version = existing_data['version'] == db_data['version']\n                _trials = [_trials[_ind] for _ind in same_version.nonzero()[0]]\n                version_changes = existing_data[numpy.invert(same_version)]\n\n                # actually get the updated records\n                update_ids = new_data['_id'].tolist() + version_changes['_id'].tolist()\n                num_new = len(update_ids)\n                update_query = copy.deepcopy(query)\n                update_query['_id'] = {'$in': update_ids}\n                updated_trials = list(self.handle.jobs.find(update_query))\n                _trials.extend(updated_trials)\n            else:\n                num_new = 0\n                _trials = []\n        else:\n            # this case is for performance, though should be able to be removed\n            # without breaking correctness.\n            _trials = list(self.handle.jobs.find(query))\n            if _trials:\n                _trials = [_trials[_i] for _i in get_most_recent_inds(_trials)]\n            num_new = len(_trials)\n\n        logger.debug('Refresh data download took %f seconds for %d ids' %\n                     (time.time() - t0, num_new))\n\n        if tids is not None:\n            # -- If tids were given, then _trials only contains\n            #    documents with matching tids. Here we augment these\n            #    fresh matching documents, with our current ones whose\n            #    tids don't match.\n            new_trials = _trials\n            tids_set = set(tids)\n            assert all(t['tid'] in tids_set for t in new_trials)\n            old_trials = [t for t in orig_trials if t['tid'] not in tids_set]\n            _trials = new_trials + old_trials\n\n        # -- reassign new trials to self, in order of increasing tid\n        jarray = numpy.array([j['_id'] for j in _trials])\n        jobsort = jarray.argsort()\n        self._trials = [_trials[_idx] for _idx in jobsort]\n        self._specs = [_trials[_idx]['spec'] for _idx in jobsort]\n        self._results = [_trials[_idx]['result'] for _idx in jobsort]\n        self._miscs = [_trials[_idx]['misc'] for _idx in jobsort]\n\n    def refresh(self):\n        self.refresh_tids(None)\n\n    def _insert_trial_docs(self, docs):\n        rval = []\n        for doc in docs:\n            rval.append(self.handle.jobs.insert(doc))\n        return rval\n\n    def count_by_state_unsynced(self, arg):\n        exp_key = self._exp_key\n        # TODO: consider searching by SON rather than dict\n        if isinstance(arg, int):\n            if arg not in JOB_STATES:\n                raise ValueError('invalid state', arg)\n            query = dict(state=arg)\n        else:\n            assert hasattr(arg, '__iter__')\n            states = list(arg)\n            assert all([x in JOB_STATES for x in states])\n            query = dict(state={'$in': states})\n        if exp_key != None:\n            query['exp_key'] = exp_key\n        rval = self.handle.jobs.find(query).count()\n        return rval\n\n    def delete_all(self, cond=None):\n        if cond is None:\n            cond = {}\n        else:\n            cond = dict(cond)\n\n        if self._exp_key:\n            cond['exp_key'] = self._exp_key\n        # -- remove all documents matching condition\n        self.handle.delete_all(cond)\n        gfs = self.handle.gfs\n        for filename in gfs.list():\n            try:\n                fdoc = gfs.get_last_version(filename=filename, **cond)\n            except gridfs.errors.NoFile:\n                continue\n            gfs.delete(fdoc._id)\n        self.refresh()\n\n    def new_trial_ids(self, N):\n        db = self.handle.db\n        # N.B. that the exp key is *not* used here. It was once, but it caused\n        # a nasty bug: tids were generated by a global experiment\n        # with exp_key=None, running a suggest() that introduced sub-experiments\n        # with exp_keys, which ran jobs that did result injection.  The tids of\n        # injected jobs were sometimes unique within an experiment, and\n        # sometimes not. Hilarious!\n        #\n        # Solution: tids are generated to be unique across the db, not just\n        # within an exp_key.\n        #\n\n        # -- mongo docs say you can't upsert an empty document\n        query = {'a': 0}\n\n        doc = None\n        while doc is None:\n            doc = db.job_ids.find_and_modify(\n                query,\n                {'$inc': {'last_id': N}},\n                upsert=True)\n            if doc is None:\n                logger.warning('no last_id found, re-trying')\n                time.sleep(1.0)\n        lid = doc.get('last_id', 0)\n        return list(range(lid, lid + N))\n\n    def trial_attachments(self, trial):\n        \"\"\"\n        Attachments to a single trial (e.g. learned weights)\n\n        Returns a dictionary interface to the attachments.\n        \"\"\"\n\n        # don't offer more here than in MongoCtrl\n        class Attachments(object):\n\n            def __contains__(_self, name):\n                return name in self.handle.attachment_names(doc=trial)\n\n            def __len__(_self):\n                return len(self.handle.attachment_names(doc=trial))\n\n            def __iter__(_self):\n                return iter(self.handle.attachment_names(doc=trial))\n\n            def __getitem__(_self, name):\n                try:\n                    return self.handle.get_attachment(\n                        doc=trial,\n                        name=name)\n                except OperationFailure:\n                    raise KeyError(name)\n\n            def __setitem__(_self, name, value):\n                self.handle.set_attachment(\n                    doc=trial,\n                    blob=value,\n                    name=name,\n                    collection=self.handle.db.jobs)\n\n            def __delitem__(_self, name):\n                raise NotImplementedError('delete trial_attachment')\n\n            def keys(self):\n                return [k for k in self]\n\n            def values(self):\n                return [self[k] for k in self]\n\n            def items(self):\n                return [(k, self[k]) for k in self]\n\n        return Attachments()\n\n    @property\n    def attachments(self):\n        \"\"\"\n        Attachments to a Trials set (such as bandit args).\n\n        Support syntax for load:  self.attachments[name]\n        Support syntax for store: self.attachments[name] = value\n        \"\"\"\n        gfs = self.handle.gfs\n\n        query = {}\n        if self._exp_key:\n            query['exp_key'] = self._exp_key\n\n        class Attachments(object):\n\n            def __iter__(_self):\n                if query:\n                    # -- gfs.list does not accept query kwargs\n                    #    (at least, as of pymongo 2.4)\n                    filenames = [fname\n                                 for fname in gfs.list()\n                                 if fname in _self]\n                else:\n                    filenames = gfs.list()\n                return iter(filenames)\n\n            def __contains__(_self, name):\n                return gfs.exists(filename=name, **query)\n\n            def __getitem__(_self, name):\n                try:\n                    rval = gfs.get_version(filename=name, **query).read()\n                    return rval\n                except gridfs.NoFile:\n                    raise KeyError(name)\n\n            def __setitem__(_self, name, value):\n                if gfs.exists(filename=name, **query):\n                    gout = gfs.get_last_version(filename=name, **query)\n                    gfs.delete(gout._id)\n                gfs.put(value, filename=name, encoding='utf-8', **query)\n\n            def __delitem__(_self, name):\n                gout = gfs.get_last_version(filename=name, **query)\n                gfs.delete(gout._id)\n\n        return Attachments()\n\n\nclass MongoWorker(object):\n    poll_interval = 3.0  # -- seconds\n    workdir = None\n\n    def __init__(self, mj,\n                 poll_interval=poll_interval,\n                 workdir=workdir,\n                 exp_key=None,\n                 logfilename='logfile.txt',\n                 ):\n        \"\"\"\n        mj - MongoJobs interface to jobs collection\n        poll_interval - seconds\n        workdir - string\n        exp_key - restrict reservations to this key\n        \"\"\"\n        self.mj = mj\n        self.poll_interval = poll_interval\n        self.workdir = workdir\n        self.exp_key = exp_key\n        self.logfilename = logfilename\n\n    def make_log_handler(self):\n        self.log_handler = logging.FileHandler(self.logfilename)\n        self.log_handler.setFormatter(\n            logging.Formatter(\n                fmt='%(levelname)s (%(name)s): %(message)s'))\n        self.log_handler.setLevel(logging.INFO)\n\n    def run_one(self,\n                host_id=None,\n                reserve_timeout=None,\n                erase_created_workdir=False,\n                ):\n        if host_id == None:\n            host_id = '%s:%i' % (socket.gethostname(), os.getpid()),\n        job = None\n        start_time = time.time()\n        mj = self.mj\n        while job is None:\n            if (reserve_timeout and\n               (time.time() - start_time) > reserve_timeout):\n                raise ReserveTimeout()\n            job = mj.reserve(host_id, exp_key=self.exp_key)\n            if not job:\n                interval = (1 +\n                            numpy.random.rand() *\n                            (float(self.poll_interval) - 1.0))\n                logger.info('no job found, sleeping for %.1fs' % interval)\n                time.sleep(interval)\n\n        logger.debug('job found: %s' % str(job))\n\n        # -- don't let the cmd mess up our trial object\n        spec = spec_from_misc(job['misc'])\n\n        ctrl = MongoCtrl(\n            trials=MongoTrials(mj, exp_key=job['exp_key'], refresh=False),\n            read_only=False,\n            current_trial=job)\n        if self.workdir is None:\n            workdir = job['misc'].get('workdir', os.getcwd())\n            if workdir is None:\n                workdir = ''\n            workdir = os.path.join(workdir, str(job['_id']))\n        else:\n            workdir = self.workdir\n        workdir = os.path.abspath(os.path.expanduser(workdir))\n        try:\n            root_logger = logging.getLogger()\n            if self.logfilename:\n                self.make_log_handler()\n                root_logger.addHandler(self.log_handler)\n\n            cmd = job['misc']['cmd']\n            cmd_protocol = cmd[0]\n            try:\n                if cmd_protocol == 'cpickled fn':\n                    worker_fn = pickler.loads(cmd[1])\n                elif cmd_protocol == 'call evaluate':\n                    bandit = pickler.loads(cmd[1])\n                    worker_fn = bandit.evaluate\n                elif cmd_protocol == 'token_load':\n                    cmd_toks = cmd[1].split('.')\n                    cmd_module = '.'.join(cmd_toks[:-1])\n                    worker_fn = exec_import(cmd_module, cmd[1])\n                elif cmd_protocol == 'bandit_json evaluate':\n                    bandit = json_call(cmd[1])\n                    worker_fn = bandit.evaluate\n                elif cmd_protocol == 'driver_attachment':\n                    # name = 'driver_attachment_%s' % job['exp_key']\n                    blob = ctrl.trials.attachments[cmd[1]]\n                    bandit_name, bandit_args, bandit_kwargs = pickler.loads(blob)\n                    worker_fn = json_call(bandit_name,\n                                          args=bandit_args,\n                                          kwargs=bandit_kwargs).evaluate\n                elif cmd_protocol == 'domain_attachment':\n                    blob = ctrl.trials.attachments[cmd[1]]\n                    try:\n                        domain = pickler.loads(blob)\n                    except BaseException as e:\n                        logger.info(\n                            'Error while unpickling.')\n                        raise\n                    worker_fn = domain.evaluate\n                else:\n                    raise ValueError('Unrecognized cmd protocol', cmd_protocol)\n\n                with temp_dir(workdir, erase_created_workdir), working_dir(workdir):\n                    result = worker_fn(spec, ctrl)\n                    result = SONify(result)\n            except BaseException as e:\n                # XXX: save exception to database, but if this fails, then\n                #      at least raise the original traceback properly\n                logger.info('job exception: %s' % str(e))\n                ctrl.checkpoint()\n                mj.update(job,\n                          {'state': JOB_STATE_ERROR,\n                           'error': (str(type(e)), str(e))})\n                raise\n        finally:\n            if self.logfilename:\n                root_logger.removeHandler(self.log_handler)\n\n        logger.info('job finished: %s' % str(job['_id']))\n        attachments = result.pop('attachments', {})\n        for aname, aval in list(attachments.items()):\n            logger.info(\n                'mongoexp: saving attachment name=%s (%i bytes)' % (\n                    aname, len(aval)))\n            ctrl.attachments[aname] = aval\n        ctrl.checkpoint(result)\n        mj.update(job, {'state': JOB_STATE_DONE})\n\n\nclass MongoCtrl(Ctrl):\n    \"\"\"\n    Attributes:\n\n    current_trial - current job document\n    jobs - MongoJobs object in which current_trial resides\n    read_only - True means don't change the db\n\n    \"\"\"\n\n    def __init__(self, trials, current_trial, read_only):\n        self.trials = trials\n        self.current_trial = current_trial\n        self.read_only = read_only\n\n    def debug(self, *args, **kwargs):\n        # XXX: This is supposed to log to db\n        return logger.debug(*args, **kwargs)\n\n    def info(self, *args, **kwargs):\n        # XXX: This is supposed to log to db\n        return logger.info(*args, **kwargs)\n\n    def warn(self, *args, **kwargs):\n        # XXX: This is supposed to log to db\n        return logger.warn(*args, **kwargs)\n\n    def error(self, *args, **kwargs):\n        # XXX: This is supposed to log to db\n        return logger.error(*args, **kwargs)\n\n    def checkpoint(self, result=None):\n        if not self.read_only:\n            handle = self.trials.handle\n            handle.refresh(self.current_trial)\n            if result is not None:\n                return handle.update(self.current_trial, dict(result=result))\n\n    @property\n    def attachments(self):\n        \"\"\"\n        Support syntax for load:  self.attachments[name]\n        Support syntax for store: self.attachments[name] = value\n        \"\"\"\n        return self.trials.trial_attachments(trial=self.current_trial)\n\n    @property\n    def set_attachment(self):\n        # XXX: Is there a better deprecation error?\n        raise RuntimeError(\n            'set_attachment deprecated. Use `self.attachments[name] = value`')\n\n\ndef exec_import(cmd_module, cmd):\n    worker_fn = None\n    exec('import %s; worker_fn = %s' % (cmd_module, cmd))\n    return worker_fn\n\n\ndef as_mongo_str(s):\n    if s.startswith('mongo://'):\n        return s\n    else:\n        return 'mongo://%s' % s\n\n\ndef main_worker_helper(options, args):\n    N = int(options.max_jobs)\n    if options.last_job_timeout is not None:\n        last_job_timeout = time.time() + float(options.last_job_timeout)\n    else:\n        last_job_timeout = None\n\n    def sighandler_shutdown(signum, frame):\n        logger.info('Caught signal %i, shutting down.' % signum)\n        raise Shutdown(signum)\n\n    def sighandler_wait_quit(signum, frame):\n        logger.info('Caught signal %i, shutting down.' % signum)\n        raise WaitQuit(signum)\n\n    signal.signal(signal.SIGINT, sighandler_shutdown)\n    signal.signal(signal.SIGHUP, sighandler_shutdown)\n    signal.signal(signal.SIGTERM, sighandler_shutdown)\n    signal.signal(signal.SIGUSR1, sighandler_wait_quit)\n\n    if N > 1:\n        proc = None\n        cons_errs = 0\n        if last_job_timeout and time.time() > last_job_timeout:\n            logger.info(\"Exiting due to last_job_timeout\")\n            return\n\n        while N and cons_errs < int(options.max_consecutive_failures):\n            try:\n                # recursive Popen, dropping N from the argv\n                # By using another process to run this job\n                # we protect ourselves from memory leaks, bad cleanup\n                # and other annoying details.\n                # The tradeoff is that a large dataset must be reloaded once for\n                # each subprocess.\n                sub_argv = [sys.argv[0],\n                            '--poll-interval=%s' % options.poll_interval,\n                            '--max-jobs=1',\n                            '--mongo=%s' % options.mongo,\n                            '--reserve-timeout=%s' % options.reserve_timeout]\n                if options.workdir is not None:\n                    sub_argv.append('--workdir=%s' % options.workdir)\n                if options.exp_key is not None:\n                    sub_argv.append('--exp-key=%s' % options.exp_key)\n                proc = subprocess.Popen(sub_argv)\n                retcode = proc.wait()\n                proc = None\n\n            except Shutdown:\n                # this is the normal way to stop the infinite loop (if originally N=-1)\n                if proc:\n                    # proc.terminate() is only available as of 2.6\n                    os.kill(proc.pid, signal.SIGTERM)\n                    return proc.wait()\n                else:\n                    return 0\n\n            except WaitQuit:\n                # -- sending SIGUSR1 to a looping process will cause it to\n                # break out of the loop after the current subprocess finishes\n                # normally.\n                if proc:\n                    return proc.wait()\n                else:\n                    return 0\n\n            if retcode != 0:\n                cons_errs += 1\n            else:\n                cons_errs = 0\n            N -= 1\n        logger.info(\"exiting with N=%i after %i consecutive exceptions\" % (\n            N, cons_errs))\n    elif N == 1:\n        # XXX: the name of the jobs collection is a parameter elsewhere,\n        #      so '/jobs' should not be hard-coded here\n        mj = MongoJobs.new_from_connection_str(\n            as_mongo_str(options.mongo) + '/jobs')\n\n        mworker = MongoWorker(mj,\n                              float(options.poll_interval),\n                              workdir=options.workdir,\n                              exp_key=options.exp_key)\n        mworker.run_one(reserve_timeout=float(options.reserve_timeout))\n    else:\n        raise ValueError(\"N <= 0\")\n\n\ndef main_worker():\n    parser = optparse.OptionParser(usage=\"%prog [options]\")\n\n    parser.add_option(\"--exp-key\",\n                      dest='exp_key',\n                      default=None,\n                      metavar='str',\n                      help=\"identifier for this workers's jobs\")\n    parser.add_option(\"--last-job-timeout\",\n                      dest='last_job_timeout',\n                      metavar='T',\n                      default=None,\n                      help=\"Do not reserve a job after T seconds have passed\")\n    parser.add_option(\"--max-consecutive-failures\",\n                      dest=\"max_consecutive_failures\",\n                      metavar='N',\n                      default=4,\n                      help=\"stop if N consecutive jobs fail (default: 4)\")\n    parser.add_option(\"--max-jobs\",\n                      dest='max_jobs',\n                      default=sys.maxsize,\n                      help=\"stop after running this many jobs (default: inf)\")\n    parser.add_option(\"--mongo\",\n                      dest='mongo',\n                      default='localhost/hyperopt',\n                      help=\"<host>[:port]/<db> for IPC and job storage\")\n    parser.add_option(\"--poll-interval\",\n                      dest='poll_interval',\n                      metavar='N',\n                      default=5,\n                      help=\"check work queue every 1 < T < N seconds (default: 5\")\n    parser.add_option(\"--reserve-timeout\",\n                      dest='reserve_timeout',\n                      metavar='T',\n                      default=120.0,\n                      help=\"poll database for up to T seconds to reserve a job\")\n    parser.add_option(\"--workdir\",\n                      dest=\"workdir\",\n                      default=None,\n                      help=\"root workdir (default: load from mongo)\",\n                      metavar=\"DIR\")\n\n    (options, args) = parser.parse_args()\n\n    if args:\n        parser.print_help()\n        return -1\n\n    return main_worker_helper(options, args)\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/plotting.py",
    "content": "\"\"\"\nFunctions to visualize an Experiment.\n\n\"\"\"\nfrom __future__ import print_function\nimport math\nimport sys\nfrom past.builtins import xrange\nfrom hyperopt.mongoexp import MongoJobs\ntry:\n    unicode = unicode\nexcept NameError:\n    basestring = (str, bytes)\nelse:\n    basestring = basestring\n# -- don't import this here because it locks in the backend\n#    and we want the unittests to be able to set the backend\n# TODO: this is really bad style, create a backend plotting\n# module for this that defaults to matplotlib.\n# import matplotlib.pyplot as plt\n\nimport numpy as np\nfrom . import base\nfrom .base import miscs_to_idxs_vals\n\n__authors__ = \"James Bergstra\"\n__license__ = \"3-clause BSD License\"\n__contact__ = \"github.com/hyperopt/hyperopt\"\n\ndefault_status_colors = {\n    base.STATUS_NEW: 'k',\n    base.STATUS_RUNNING: 'g',\n    base.STATUS_OK: 'b',\n    base.STATUS_FAIL: 'r'}\n\n\ndef algo_as_str(algo):\n    if isinstance(algo, basestring):\n        return algo\n    return str(algo)\n\n\ndef main_plot_history(trials, bandit=None, algo=None, do_show=True,\n                      status_colors=None):\n    # -- import here because file-level import is too early\n    import matplotlib.pyplot as plt\n\n    # self is an Experiment\n    if status_colors is None:\n        status_colors = default_status_colors\n\n    # XXX: show the un-finished or error trials\n    Ys, colors = zip(*[(y, status_colors[s])\n                       for y, s in zip(trials.losses(bandit), trials.statuses(bandit))\n                       if y is not None])\n    plt.scatter(range(len(Ys)), Ys, c=colors)\n    plt.xlabel('time')\n    plt.ylabel('loss')\n\n    if bandit is not None and bandit.loss_target is not None:\n        plt.axhline(bandit.loss_target)\n        ymin = min(np.min(Ys), bandit.loss_target)\n        ymax = max(np.max(Ys), bandit.loss_target)\n        yrange = ymax - ymin\n        ymean = (ymax + ymin) / 2.0\n        plt.ylim(\n            ymean - 0.53 * yrange,\n            ymean + 0.53 * yrange,\n        )\n    best_err = trials.average_best_error(bandit)\n    print(\"avg best error:\", best_err)\n    plt.axhline(best_err, c='g')\n\n    plt.title('bandit: %s algo: %s' % (\n        bandit.short_str() if bandit else '-',\n        algo_as_str(algo)))\n    if do_show:\n        plt.show()\n\n\ndef main_plot_histogram(trials, bandit=None, algo=None, do_show=True):\n    # -- import here because file-level import is too early\n    import matplotlib.pyplot as plt\n\n    status_colors = default_status_colors\n    Xs, Ys, Ss, Cs = zip(*[(x, y, s, status_colors[s])\n                           for (x, y, s) in zip(trials.specs, trials.losses(bandit),\n                                                trials.statuses(bandit))\n                           if y is not None])\n\n    # XXX: deal with ok vs. un-finished vs. error trials\n    print('Showing Histogram of %i jobs' % len(Ys))\n    plt.hist(Ys)\n    plt.xlabel('loss')\n    plt.ylabel('frequency')\n\n    plt.title('bandit: %s algo: %s' % (\n        bandit.short_str() if bandit else '-',\n        algo_as_str(algo)))\n    if do_show:\n        plt.show()\n\n\ndef main_plot_vars(trials, bandit=None, do_show=True, fontsize=10,\n                   colorize_best=None,\n                   columns=5,\n                   ):\n    # -- import here because file-level import is too early\n    import matplotlib.pyplot as plt\n\n    idxs, vals = miscs_to_idxs_vals(trials.miscs)\n    losses = trials.losses()\n    finite_losses = [y for y in losses if y not in (None, float('inf'))]\n    asrt = np.argsort(finite_losses)\n    if colorize_best != None:\n        colorize_thresh = finite_losses[asrt[colorize_best + 1]]\n    else:\n        # -- set to lower than best (disabled)\n        colorize_thresh = finite_losses[asrt[0]] - 1\n\n    loss_min = min(finite_losses)\n    loss_max = max(finite_losses)\n    print('finite loss range', loss_min, loss_max, colorize_thresh)\n\n    loss_by_tid = dict(zip(trials.tids, losses))\n\n    def color_fn(lossval):\n        if lossval is None:\n            return (1, 1, 1)\n        else:\n            t = 4 * (lossval - loss_min) / (loss_max - loss_min + .0001)\n            if t < 1:\n                return t, 0, 0\n            if t < 2:\n                return 2 - t, t - 1, 0\n            if t < 3:\n                return 0, 3 - t, t - 2\n            return 0, 0, 4 - t\n\n    def color_fn_bw(lossval):\n        if lossval in (None, float('inf')):\n            return (1, 1, 1)\n        else:\n            t = (lossval - loss_min) / (loss_max - loss_min + .0001)\n            if lossval < colorize_thresh:\n                return (0., 1. - t, 0.)  # -- red best black worst\n            else:\n                return (t, t, t)    # -- white=worst, black=best\n\n    all_labels = list(idxs.keys())\n    titles = ['%s (%s)' % (label, bandit.params[label].name)\n              for label in all_labels]\n    order = np.argsort(titles)\n\n    C = columns\n    R = int(np.ceil(len(all_labels) / float(C)))\n\n    for plotnum, varnum in enumerate(order):\n        label = all_labels[varnum]\n        plt.subplot(R, C, plotnum + 1)\n\n        # hide x ticks\n        ticks_num, ticks_txt = plt.xticks()\n        plt.xticks(ticks_num, ['' for i in xrange(len(ticks_num))])\n\n        dist_name = bandit.params[label].name\n        x = idxs[label]\n        if 'log' in dist_name:\n            y = np.log(vals[label])\n        else:\n            y = vals[label]\n        plt.title(titles[varnum], fontsize=fontsize)\n        c = list(map(color_fn_bw, [loss_by_tid[ii] for ii in idxs[label]]))\n        if len(y):\n            plt.scatter(x, y, c=c)\n        if 'log' in dist_name:\n            nums, texts = plt.yticks()\n            plt.yticks(nums, ['%.2e' % np.exp(t) for t in nums])\n\n    if do_show:\n        plt.show()\n\n\nif 0:\n    def erf(x):\n        \"\"\"Erf impl that doesn't require scipy.\n        \"\"\"\n        # from http://www.math.sfu.ca/~cbm/aands/frameindex.htm\n        # via\n        # http://stackoverflow.com/questions/457408/\n        #      is-there-an-easily-available-implementation-of-erf-for-python\n        #\n        #\n\n        # save the sign of x\n        sign = 1\n        if x < 0:\n            sign = -1\n        x = abs(x)\n\n        # constants\n        a1 = 0.254829592\n        a2 = -0.284496736\n        a3 = 1.421413741\n        a4 = -1.453152027\n        a5 = 1.061405429\n        p = 0.3275911\n\n        # A&S formula 7.1.26\n        t = 1.0 / (1.0 + p * x)\n        y = 1.0 - (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * math.exp(-x * x)\n        return sign * y  # erf(-x) = -erf(x)\n\n    def mixed_max_erf(scores, n_valid):\n        scores = list(scores)  # shallow copy\n        scores.sort()         # sort the copy\n        scores.reverse()      # reverse the order\n\n        # this is valid for classification\n        # where the scores are the means of Bernoulli variables.\n        best_mean = scores[0][0]\n        best_variance = best_mean * (1.0 - best_mean) / (n_valid - 1)\n\n        rval = 0.0\n        rval_denom = 0.0\n\n        for i, (vscore, tscore) in enumerate(scores):\n            mean = vscore\n            variance = mean * (1.0 - mean) / (n_valid - 1)\n            diff_mean = mean - best_mean\n            diff_variance = variance + best_variance\n            # for scores, which should approach 1, the diff here will be negative (or zero).\n            # so the probability of the current point being the best is the probability that\n            # the current gaussian puts on positive values.\n            assert diff_mean <= 0.0\n            p_current_is_best = 0.5 - 0.5 * erf(-diff_mean / math.sqrt(diff_variance))\n            rval += p_current_is_best * tscore\n            rval_denom += p_current_is_best\n            if p_current_is_best < 0.001:\n                break\n        return rval / rval_denom\n\n    def mixed_max_sampled(scores, n_valid, n_samples=100, rng=None):\n        scores = list(scores)  # shallow copy\n        scores.sort()         # sort the copy\n        scores.reverse()      # reverse the order\n\n        # this is valid for classification\n        # where the scores are the means of Bernoulli variables.\n        best_mean = scores[0][0]\n        best_variance = best_mean * (1.0 - best_mean) / (n_valid - 1)\n        mu = []\n        sigma = []\n        tscores = []\n        for i, (vscore, tscore) in enumerate(scores):\n            mean = vscore\n            variance = mean * (1.0 - mean) / (n_valid - 1)\n            diff_mean = mean - best_mean\n            diff_variance = variance + best_variance\n            # for scores, which should approach 1, the diff here will be negative (or zero).\n            # so the probability of the current point being the best is the probability that\n            # the current gaussian puts on positive values.\n\n            if -diff_mean / np.sqrt(diff_variance) > 3:\n                # print 'breaking after', len(tscores), len(scores)\n                break\n            else:\n                mu.append(diff_mean)\n                sigma.append(np.sqrt(diff_variance))\n                tscores.append(tscore)\n\n        if rng is None:\n            rng = np.random.RandomState(232342)\n\n        mu = np.asarray(mu)\n        sigma = np.asarray(sigma)\n        tscores = np.asarray(tscores)\n\n        nrml = rng.randn(n_samples, len(mu)) * sigma + mu\n        winners = (nrml.T == nrml.max(axis=1))\n        p_best_ = winners.sum(axis=0)\n        p_best = p_best_ / p_best_.sum()\n\n        # TODO: t_scores is undefined\n        return np.dot(p_best, t_scores), p_best\n\n\nif 0:\n    def rexp_plot_acc(scores, n_valid, n_test, pbest_n_samples=100, rng=None):\n        \"\"\"\n        Uses the current pyplot figure to show efficiency of random experiment.\n\n        :type scores: a list of (validation accuracy, test accuracy)  pairs\n        :param scores: results from the trials of a random experiment\n\n        :type n_valid: integer\n        :param n_valid: size of the validation set\n\n        :type n_test: integer\n        :param n_test: size of the test set\n\n        :type mixed_max: function like mixed_max_erf or mixed_max_sampled\n        :param mixed_max: the function to estimate the maximum of a validation sample\n\n        \"\"\"\n        if rng is None:\n            rng = np.random.RandomState(232342)\n        K = 1\n        scatter_x = []\n        scatter_y = []\n        scatter_c = []\n        box_x = []\n        log_K = 0\n        while K < len(scores):\n            n_batches_of_K = len(scores) // K\n            if n_batches_of_K < 2:\n                break\n\n            def best_score(i):\n                scores_i = scores[i * K:(i + 1) * K]\n                rval = np.dot(\n                    [tscore for (vscore, tscore) in scores_i],\n                    # TODO: where is pbest_sampled defined?\n                    pbest_sampled(\n                        [vscore for (vscore, tscore) in scores_i],\n                        n_valid,\n                        n_samples=pbest_n_samples,\n                        rng=rng))\n                # print rval\n                return rval\n\n            if n_batches_of_K < 10:\n                # use scatter plot\n                for i in xrange(n_batches_of_K):\n                    scatter_x.append(log_K + 1)\n                    scatter_y.append(best_score(i))\n                    scatter_c.append((0, 0, 0))\n                box_x.append([])\n            else:\n                # use box plot\n                box_x.append([best_score(i) for i in xrange(n_batches_of_K)])\n            K *= 2\n            log_K += 1\n        plt.scatter(scatter_x, scatter_y, c=scatter_c, marker='+', linewidths=0.2,\n                    edgecolors=scatter_c)\n        boxplot_lines = plt.boxplot(box_x)\n        for key in boxplot_lines:\n            plt.setp(boxplot_lines[key], color='black')\n        # plt.setp(boxplot_lines['medians'], color=(.5,.5,.5))\n\n        # draw the spans\n        #\n        # the 'test performance of the best model' is a mixture of gaussian-distributed quantity\n        # with components comp_mean, and comp_var and weights w\n        #\n        # w[i] is prob. of i'th model being best in validation\n        w = pbest_sampled([vs for (vs, ts) in scores], n_valid, n_samples=pbest_n_samples, rng=rng)\n        comp_mean = np.asarray([ts for (vs, ts) in scores])\n        comp_var = (comp_mean * (1 - comp_mean)) / (n_test - 1)\n\n        # the mean of the mixture is\n        mean = np.dot(w, comp_mean)\n\n        # the variance of the mixture is\n        var = np.dot(w, comp_mean**2 + comp_var) - mean**2\n\n        # test average is distributed according to a mixture of gaussians, so we\n        # have to use the following fo\n        std = math.sqrt(var)\n        # plt.axhline(mean, color=(1.0,1.0,1.0), linestyle='--', linewidth=0.1)\n        # plt.axhspan(mean-1.96*std, mean+1.96*std, color=(0.5,0.5,0.5))\n        plt.axhline(mean - 1.96 * std, color=(0.0, 0.0, 0.0))\n        plt.axhline(mean + 1.96 * std, color=(0.0, 0.0, 0.0))\n\n        # get margin:\n        if 0:\n            margin = 1.0 - mean\n            plt.ylim(0.5 - margin, 1.0)\n\n        # set ticks\n        ticks_num, ticks_txt = plt.xticks()\n        plt.xticks(ticks_num, ['%i' % (2**i) for i in xrange(len(ticks_num))])\n\n    def rexp_pairs_raw(x, y, vscores):\n        if len(x) != len(y):\n            raise ValueError()\n        if len(x) != len(vscores):\n            raise ValueError()\n\n        vxy = zip(vscores, x, y)\n        vxy.sort()\n        vscores, x, y = zip(*vxy)\n\n        vscores = np.asarray(vscores)\n\n        max_score = vscores.max()\n        min_score = vscores.min()\n        colors = np.outer(0.9 - 0.89 * (vscores - min_score) / (max_score - min_score), [1, 1, 1])\n        plt.scatter(x, y, c=colors, marker='o', linewidths=0.1)\n\n        # remove ticks labels\n        nums, texts = plt.xticks()\n        plt.xticks(nums, [''] * len(nums))\n        nums, texts = plt.yticks()\n        plt.yticks(nums, [''] * len(nums))\n\n    class CoordType(object):\n        pass\n\n    class RealCoord(CoordType):\n\n        @staticmethod\n        def preimage(x):\n            return np.asarray(x)\n\n    class LogCoord(CoordType):\n\n        @staticmethod\n        def preimage(x):\n            return np.log(x)\n\n    class Log0Coord(CoordType):\n\n        @staticmethod\n        def preimage(x):\n            x = np.asarray(x)\n            return np.log(x + (x == 0) * x.min() / 2)\n    IntCoord = RealCoord\n    LogIntCoord = LogCoord\n\n    class CategoryCoord(CoordType):\n\n        def __init__(self, categories=None):\n            self.categories = categories\n\n        def preimage(self, x):\n            if self.categories:\n                return np.asarray([self.categories.index(xi) for xi in x])\n            else:\n                return x\n\n    def rexp_pairs(x, y, vscores, xtype, ytype):\n        return rexp_pairs_raw(xtype.preimage(x), ytype.preimage(y), vscores)\n\n    class MultiHistory(object):\n        \"\"\"\n        Show the history of multiple optimization algorithms.\n        \"\"\"\n\n        def __init__(self):\n            self.histories = []\n\n        def add_experiment(self, mj, y_fn, start=0, stop=sys.maxint,\n                           color=None,\n                           label=None):\n            trials = [(job['book_time'], job, y_fn(job))\n                      for job in mj if ('book_time' in job and\n                                        y_fn(job) is not None and\n                                        np.isfinite(y_fn(job)))]\n            trials.sort()\n            trials = trials[start:stop]\n            if trials:\n                self.histories.append((\n                    [t[1] for t in trials],\n                    [t[2] for t in trials],\n                    color, label))\n            else:\n                print('NO TRIALS')\n\n        def add_scatters(self):\n            for t, y, c, l in self.histories:\n                print('setting label', l)\n                plt.scatter(\n                    np.arange(len(y)),\n                    y,\n                    c=c,\n                    label=l,\n                    s=12)\n\n        def main_show(self, title=None):\n            self.add_scatters()\n            if title:\n                plt.title(title)\n            # plt.axvline(25) # make a parameter\n            # plt.axhline(.2)\n            # plt.axhline(.3)\n            plt.show()\n\n    def main_plot_histories(cls):\n        import plotting\n        conn_str_template = sys.argv[2]\n        algos = sys.argv[3].split(',')\n        dataset_name = sys.argv[4]\n        start = int(sys.argv[5]) if len(sys.argv) > 5 else 0\n        stop = int(sys.argv[6]) if len(sys.argv) > 6 else sys.maxint\n        mh = plotting.MultiHistory()\n        colors = ['r', 'y', 'b', 'g', 'c', 'k']\n\n        def custom_err_fn(trial):\n            if 2 == trial['status']:\n                rval = 1.0 - trial['result']['best_epoch_valid']\n                if rval > dict(\n                        convex=.4,\n                        mnist_rotated_background_images=2)[dataset_name]:\n                    return None\n                else:\n                    return rval\n\n        for c, algo in zip(colors, algos):\n            conn_str = conn_str_template % (algo, dataset_name)\n            print('algo', algo)\n            mh.add_experiment(\n                mj=MongoJobs.new_from_connection_str(conn_str),\n                y_fn=custom_err_fn,\n                color=c,\n                label=algo,\n                start=start,\n                stop=stop)\n        plt = plotting.plt\n        # TODO: icml07 undefined\n        plt.axhline(\n            1.0 - icml07.dbn3_scores[dataset_name],\n            c='k', label='manual+grid')  # , dashes=[0,1])\n        mh.add_scatters()\n        plt.legend()\n        plt.title(dataset_name)\n        plt.show()\n\n    class ScatterByConf(object):\n        trial_color_dict = {0: 'k', 1: 'g', 2: 'b', 3: 'r'}\n\n        def __init__(self, conf_template, confs, status, y):\n            self.conf_template = conf_template\n            self.confs = confs\n            self.y = np.asarray(y)\n            assert self.y.ndim == 1\n            self.status = status\n\n            self.colors = np.asarray(\n                [self.trial_color_dict.get(s, None) for s in self.status])\n\n            self.a_choices = np.array([[e['choice']\n                                        for e in t.flatten()]\n                                       for t in confs])\n            self.nones = np.array([[None\n                                    for e in t.flatten()]\n                                   for t in confs])\n            self.a_names = conf_template.flatten_names()\n            self.a_vars = [not np.all(self.a_choices[:, i] == self.nones[:, i])\n                           for i, name in enumerate(self.a_names)]\n\n            assert len(self.y) == len(self.a_choices)\n            assert len(self.y) == len(self.colors)\n\n        def trial_color(self, t):\n            return self.trial_color_dict.get(t['status'], None)\n\n        def scatter_one(self, column):\n            assert self.a_vars[column]\n\n            non_missing = self.a_choices[:, column] != self.nones[:, column]\n            x = self.a_choices[non_missing, column]\n            y = self.y[non_missing]\n            c = self.colors[non_missing]\n            plt.xlabel(self.a_names[column])\n            plt.scatter(x, y, c=c)\n\n        def main_show_one(self, column):\n            # show all conf effects in a grid of scatter-plots\n            self.scatter_one(column)\n            plt.show()\n\n        def main_show_all(self, columns=None):\n            if columns == None:\n                columns = range(len(self.a_vars))\n\n            columns = [c for c in columns if c < len(self.a_vars)]\n\n            n_vars = np.sum(self.a_vars[c] for c in columns)\n            print(n_vars)\n            n_rows = 1\n            n_cols = 10000\n            n_vars -= 1\n            while n_cols > 5 and n_cols > 3 * n_rows:  # while \"is ugly\"\n                n_vars += 1  # leave one more space at the end...\n                n_rows = int(np.sqrt(n_vars))\n                while n_vars % n_rows:\n                    n_rows -= 1\n                n_cols = n_vars / n_rows\n            print(n_rows, n_cols)\n\n            subplot_idx = 0\n            for var_idx in columns:\n                if self.a_vars[var_idx]:\n                    plt.subplot(n_rows, n_cols, subplot_idx + 1)\n                    self.scatter_one(var_idx)\n                    subplot_idx += 1\n            plt.show()\n\n    def main_plot_scatter(self, argv):\n        low_col = int(argv[0])\n        high_col = int(argv[1])\n        # upgrade jobs in db to ht_dist2-compatible things\n        scatter_by_conf = ScatterByConf(\n            self.bandit.template,\n            self.trials,\n            status=self.statuses(),\n            y=self.losses())\n        return scatter_by_conf.main_show_all(range(low_col, high_col))\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/pyll/__init__.py",
    "content": "from __future__ import absolute_import\nfrom .base import Apply\nfrom .base import Literal\nfrom .base import as_apply\nfrom .base import scope\nfrom .base import rec_eval\nfrom .base import clone\nfrom .base import clone_merge\nfrom .base import dfs\nfrom .base import toposort\n\n# -- adds symbols to scope\nfrom . import stochastic\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/pyll/base.py",
    "content": "# file is called AST to not collide with std lib module 'ast'\n#\n# It provides types to build ASTs in a simple lambda-notation style\n#\nfrom __future__ import print_function\nfrom __future__ import absolute_import\nfrom future import standard_library\nimport copy\nimport logging\nimport operator\nimport time\n\nfrom collections import deque\n\nimport networkx as nx\n\n# TODO: move things depending on numpy (among others too) to a library file\nimport numpy as np\nimport six\nfrom six import StringIO\nfrom six.moves import zip\nfrom six.moves import map\nfrom six.moves import range\n\nstandard_library.install_aliases()\nlogger = logging.getLogger(__name__)\nnp_versions = list(map(int, np.__version__.split('.')[:2]))\n\nDEFAULT_MAX_PROGRAM_LEN = 100000\n\n\nclass PyllImportError(ImportError):\n    \"\"\"A pyll symbol was not defined in the scope \"\"\"\n\n\nclass MissingArgument(object):\n    \"\"\"Object to represent a missing argument to a function application\n    \"\"\"\n\n\nclass SymbolTable(object):\n    \"\"\"\n    An object whose methods generally allocate Apply nodes.\n\n    _impls is a dictionary containing implementations for those nodes.\n\n    >>> self.add(a, b)          # -- creates a new 'add' Apply node\n    >>> self._impl['add'](a, b) # -- this computes a + b\n    \"\"\"\n\n    def __init__(self):\n        # -- list and dict are special because they are Python builtins\n        self._impls = {\n            'list': list,\n            'dict': dict,\n            'range': range,\n            'len': len,\n            'int': int,\n            'float': float,\n            'map': map,\n            'max': max,\n            'min': min,\n            'getattr': getattr,\n        }\n\n    def _new_apply(self, name, args, kwargs, o_len, pure):\n        pos_args = [as_apply(a) for a in args]\n        named_args = [(k, as_apply(v)) for (k, v) in list(kwargs.items())]\n        named_args.sort()\n        return Apply(name,\n                     pos_args=pos_args,\n                     named_args=named_args,\n                     o_len=o_len,\n                     pure=pure)\n\n    def dict(self, *args, **kwargs):\n        # XXX: figure out len\n        return self._new_apply('dict', args, kwargs, o_len=None,\n                               pure=True)\n\n    def int(self, arg):\n        return self._new_apply('int', [as_apply(arg)], {}, o_len=None,\n                               pure=True)\n\n    def float(self, arg):\n        return self._new_apply('float', [as_apply(arg)], {}, o_len=None,\n                               pure=True)\n\n    def len(self, obj):\n        return self._new_apply('len', [obj], {}, o_len=None,\n                               pure=True)\n\n    def list(self, init):\n        return self._new_apply('list', [as_apply(init)], {}, o_len=None,\n                               pure=True)\n\n    def map(self, fn, seq, pure=False):\n        \"\"\"\n        pure - True is assertion that fn does not modify seq[i]\n        \"\"\"\n        return self._new_apply('map', [as_apply(fn), as_apply(seq)], {},\n                               o_len=seq.o_len, pure=pure)\n\n    def range(self, *args):\n        return self._new_apply('range', args, {}, o_len=None, pure=True)\n\n    def max(self, *args):\n        \"\"\" return max of args \"\"\"\n        return self._new_apply('max', list(map(as_apply, args)), {},\n                               o_len=None, pure=True)\n\n    def min(self, *args):\n        \"\"\" return min of args \"\"\"\n        return self._new_apply('min', list(map(as_apply, args)), {},\n                               o_len=None, pure=True)\n\n    def getattr(self, obj, attr, *args):\n        return self._new_apply(\n            'getattr',\n            [as_apply(obj), as_apply(attr)] + list(map(as_apply, args)),\n            {},\n            o_len=None,\n            pure=True)\n\n    def _define(self, f, o_len, pure):\n        name = f.__name__\n        entry = SymbolTableEntry(self, name, o_len, pure)\n        setattr(self, name, entry)\n        self._impls[name] = f\n        return f\n\n    def define(self, f, o_len=None, pure=False):\n        \"\"\"Decorator for adding python functions to self\n        \"\"\"\n        name = f.__name__\n        if hasattr(self, name):\n            raise ValueError('Cannot override existing symbol', name)\n        return self._define(f, o_len, pure)\n\n    def define_if_new(self, f, o_len=None, pure=False):\n        \"\"\"Pass silently if f matches the current implementation\n        for f.__name__\"\"\"\n        name = f.__name__\n        if hasattr(self, name) and self._impls[name] is not f:\n            raise ValueError('Cannot redefine existing symbol', name)\n        return self._define(f, o_len, pure)\n\n    def undefine(self, f):\n        if isinstance(f, six.string_types):\n            name = f\n        else:\n            name = f.__name__\n        del self._impls[name]\n        delattr(self, name)\n\n    def define_pure(self, f):\n        return self.define(f, o_len=None, pure=True)\n\n    def define_info(self, o_len=None, pure=False):\n        def wrapper(f):\n            return self.define(f, o_len=o_len, pure=pure)\n        return wrapper\n\n    def inject(self, *args, **kwargs):\n        \"\"\"\n        Add symbols from self into a dictionary and return the dict.\n\n        This is used for import-like syntax: see `import_`.\n        \"\"\"\n        rval = {}\n        for k in args:\n            try:\n                rval[k] = getattr(self, k)\n            except AttributeError:\n                raise PyllImportError(k)\n        for k, origk in list(kwargs.items()):\n            try:\n                rval[k] = getattr(self, origk)\n            except AttributeError:\n                raise PyllImportError(origk)\n        return rval\n\n    def import_(self, _globals, *args, **kwargs):\n        _globals.update(self.inject(*args, **kwargs))\n\n\nclass SymbolTableEntry(object):\n    \"\"\"A functools.partial-like class for adding symbol table entries.\n    \"\"\"\n    def __init__(self, symbol_table, apply_name, o_len, pure):\n        self.symbol_table = symbol_table\n        self.apply_name = apply_name\n        self.o_len = o_len\n        self.pure = pure\n\n    def __call__(self, *args, **kwargs):\n        return self.symbol_table._new_apply(\n            self.apply_name,\n            args,\n            kwargs,\n            self.o_len,\n            self.pure)\n\nscope = SymbolTable()\n\n\ndef as_apply(obj):\n    \"\"\"Smart way of turning object into an Apply\n    \"\"\"\n    if isinstance(obj, Apply):\n        rval = obj\n    elif isinstance(obj, tuple):\n        rval = Apply('pos_args', [as_apply(a) for a in obj], {}, len(obj))\n    elif isinstance(obj, list):\n        rval = Apply('pos_args', [as_apply(a) for a in obj], {}, None)\n    elif isinstance(obj, dict):\n        items = list(obj.items())\n        # -- should be fine to allow numbers and simple things\n        #    but think about if it's ok to allow Applys\n        #    it messes up sorting at the very least.\n        items.sort()\n        if all(isinstance(k, six.string_types) for k in obj):\n            named_args = [(k, as_apply(v)) for (k, v) in items]\n            rval = Apply('dict', [], named_args, len(named_args))\n        else:\n            new_items = [(k, as_apply(v)) for (k, v) in items]\n            rval = Apply('dict', [as_apply(new_items)], {}, o_len=None)\n    else:\n        rval = Literal(obj)\n    assert isinstance(rval, Apply)\n    return rval\n\n\nclass Apply(object):\n    \"\"\"\n    Represent a symbolic application of a symbol to arguments.\n\n    o_len - None or int if the function is guaranteed to return a fixed number\n        `o_len` of outputs if it returns successfully\n    pure - True only if the function has no relevant side-effects\n    \"\"\"\n\n    def __init__(self, name, pos_args, named_args,\n                 o_len=None, pure=False, define_params=None):\n        self.name = name\n        # -- tuples or arrays -> lists\n        self.pos_args = list(pos_args)\n        self.named_args = [[kw, arg] for (kw, arg) in named_args]\n        # -- o_len is attached this early to support tuple unpacking and\n        #    list coersion.\n        self.o_len = o_len\n        self.pure = pure\n        # -- define_params lets us cope with stuff that may be in the\n        #    SymbolTable on the master but not on the worker.\n        self.define_params = define_params\n        assert all(isinstance(v, Apply) for v in pos_args)\n        assert all(isinstance(v, Apply) for k, v in named_args)\n        assert all(isinstance(k, six.string_types) for k, v in named_args)\n\n    def __setstate__(self, state):\n        self.__dict__.update(state)\n        # -- On deserialization, update scope if need be.\n        if self.define_params:\n            scope.define_if_new(**self.define_params)\n\n    def eval(self, memo=None):\n        \"\"\"\n        Recursively evaluate an expression graph.\n\n        This method operates directly on the graph of extended inputs to this\n        node, making no attempt to modify or optimize the expression graph.\n\n        Caveats:\n\n          * If there are nodes in the graph that do not represent expressions,\n            (e.g. nodes that correspond to statement blocks or assertions)\n            then it's not clear what this routine should do, and you should\n            probably not call it.\n\n          * If there are Lambdas in the graph, this procedure will not evluate\n            them -- see rec_eval for that.\n\n        However, for many cases that are pure expression graphs, this\n        offers a quick and simple way to evaluate them.\n        \"\"\"\n        if memo is None:\n            memo = {}\n        if id(self) in memo:\n            return memo[id(self)]\n        else:\n            args = [a.eval() for a in self.pos_args]\n            kwargs = dict([(n, a.eval()) for (n, a) in self.named_args])\n            f = scope._impls[self.name]\n            memo[id(self)] = rval = f(*args, **kwargs)\n            return rval\n\n    def inputs(self):\n        # -- this function gets called a lot and it's not 100% safe to cache\n        #    so the if/else is a small optimization\n        if self.named_args:\n            rval = self.pos_args + [v for (k, v) in self.named_args]\n        else:\n            rval = self.pos_args\n        return rval\n\n    @property\n    def arg(self):\n        # XXX: move this introspection to __init__, and change\n        #      the basic data-structure to not use pos_args and named_args.\n        # XXX: think though... we want the binding to be updated if pos_args\n        # and named_args is modified... so maybe this is an ok way to do it?\n        #\n        # XXX: extend something to deal with Lambda objects instead of\n        # decorated python functions.\n        #\n        # http://docs.python.org/reference/expressions.html#calls\n        #\n        binding = {}\n\n        fn = scope._impls[self.name]\n        # XXX does not work for builtin functions\n        defaults = fn.__defaults__  # right-aligned default values for params\n        code = fn.__code__\n\n        extra_args_ok = bool(code.co_flags & 0x04)\n        extra_kwargs_ok = bool(code.co_flags & 0x08)\n\n        # -- assert that my understanding of calling protocol is correct\n        try:\n            if extra_args_ok and extra_kwargs_ok:\n                assert len(code.co_varnames) >= code.co_argcount + 2\n                param_names = code.co_varnames[:code.co_argcount + 2]\n                args_param = param_names[code.co_argcount]\n                kwargs_param = param_names[code.co_argcount + 1]\n                pos_params = param_names[:code.co_argcount]\n            elif extra_kwargs_ok:\n                assert len(code.co_varnames) >= code.co_argcount + 1\n                param_names = code.co_varnames[:code.co_argcount + 1]\n                kwargs_param = param_names[code.co_argcount]\n                pos_params = param_names[:code.co_argcount]\n            elif extra_args_ok:\n                assert len(code.co_varnames) >= code.co_argcount + 1\n                param_names = code.co_varnames[:code.co_argcount + 1]\n                args_param = param_names[code.co_argcount]\n                pos_params = param_names[:code.co_argcount]\n            else:\n                assert len(code.co_varnames) >= code.co_argcount\n                param_names = code.co_varnames[:code.co_argcount]\n                pos_params = param_names[:code.co_argcount]\n        except AssertionError:\n            print('YIKES: MISUNDERSTANDING OF CALL PROTOCOL:')\n            print(code.co_argcount)\n            print(code.co_varnames)\n            print('%x' % code.co_flags)\n            raise\n\n        if extra_args_ok:\n            binding[args_param] == []\n\n        if extra_kwargs_ok:\n            binding[kwargs_param] == {}\n\n        if len(self.pos_args) > code.co_argcount and not extra_args_ok:\n            raise TypeError('Argument count exceeds number of positional params')\n\n        # -- bind positional arguments\n        for param_i, arg_i in zip(param_names, self.pos_args):\n            binding[param_i] = arg_i\n\n        if extra_args_ok:\n            # XXX: THIS IS NOT BEING TESTED AND IS OBVIOUSLY BROKEN\n            # TODO: 'args' does not even exist at this point\n            binding[args_param].extend(args[code.co_argcount:])\n\n        # -- bind keyword arguments\n        for aname, aval in self.named_args:\n            try:\n                pos = pos_params.index(aname)\n            except ValueError:\n                if extra_kwargs_ok:\n                    binding[kwargs_param][aname] = aval\n                    continue\n                else:\n                    raise TypeError('Unrecognized keyword argument', aname)\n            param = param_names[pos]\n            if param in binding:\n                raise TypeError('Duplicate argument for parameter', param)\n            binding[param] = aval\n\n        assert len(binding) <= len(param_names)\n\n        if len(binding) < len(param_names):\n            for p in param_names:\n                if p not in binding:\n                    binding[p] = MissingArgument\n\n        return binding\n\n    def set_kwarg(self, name, value):\n        for ii, (key, val) in enumerate(self.named_args):\n            if key == name:\n                self.named_args[ii][1] = as_apply(value)\n                return\n        arg = self.arg\n        if name in arg and arg[name] != MissingArgument:\n            raise NotImplementedError('change pos arg to kw arg')\n        else:\n            self.named_args.append([name, as_apply(value)])\n            self.named_args.sort()\n\n    def clone_from_inputs(self, inputs, o_len='same'):\n        if len(inputs) != len(self.inputs()):\n            raise TypeError()\n        L = len(self.pos_args)\n        pos_args = list(inputs[:L])\n        named_args = [[kw, inputs[L + ii]]\n                      for ii, (kw, arg) in enumerate(self.named_args)]\n        # -- danger cloning with new inputs can change the o_len\n        if o_len == 'same':\n            o_len = self.o_len\n        return self.__class__(self.name, pos_args, named_args, o_len)\n\n    def replace_input(self, old_node, new_node):\n        rval = []\n        for ii, aa in enumerate(self.pos_args):\n            if aa is old_node:\n                self.pos_args[ii] = new_node\n                rval.append(ii)\n        for ii, (nn, aa) in enumerate(self.named_args):\n            if aa is old_node:\n                self.named_args[ii][1] = new_node\n                rval.append(ii + len(self.pos_args))\n        return rval\n\n    def pprint(self, ofile, lineno=None, indent=0, memo=None):\n        if memo is None:\n            memo = {}\n        if lineno is None:\n            lineno = [0]\n\n        if self in memo:\n            print(lineno[0], ' ' * indent + memo[self], file=ofile)\n            lineno[0] += 1\n        else:\n            memo[self] = self.name + ('  [line:%i]' % lineno[0])\n            print(lineno[0], ' ' * indent + self.name, file=ofile)\n            lineno[0] += 1\n            for arg in self.pos_args:\n                arg.pprint(ofile, lineno, indent + 2, memo)\n            for name, arg in self.named_args:\n                print(lineno[0], ' ' * indent + ' ' + name + ' =', file=ofile)\n                lineno[0] += 1\n                arg.pprint(ofile, lineno, indent + 2, memo)\n\n    def __str__(self):\n        sio = StringIO()\n        self.pprint(sio)\n        return sio.getvalue()[:-1]  # remove trailing '\\n'\n\n    def __add__(self, other):\n        return scope.add(self, other)\n\n    def __radd__(self, other):\n        return scope.add(other, self)\n\n    def __sub__(self, other):\n        return scope.sub(self, other)\n\n    def __rsub__(self, other):\n        return scope.sub(other, self)\n\n    def __neg__(self):\n        return scope.neg(self)\n\n    def __mul__(self, other):\n        return scope.mul(self, other)\n\n    def __rmul__(self, other):\n        return scope.mul(other, self)\n\n    def __div__(self, other):\n        return scope.div(self, other)\n\n    def __rdiv__(self, other):\n        return scope.div(other, self)\n\n    def __truediv__(self, other):\n        return scope.truediv(self, other)\n\n    def __rtruediv__(self, other):\n        return scope.truediv(other, self)\n\n    def __floordiv__(self, other):\n        return scope.floordiv(self, other)\n\n    def __rfloordiv__(self, other):\n        return scope.floordiv(other, self)\n\n    def __pow__(self, other):\n        return scope.pow(self, other)\n\n    def __rpow__(self, other):\n        return scope.pow(other, self)\n\n    def __gt__(self, other):\n        return scope.gt(self, other)\n\n    def __ge__(self, other):\n        return scope.ge(self, other)\n\n    def __lt__(self, other):\n        return scope.lt(self, other)\n\n    def __le__(self, other):\n        return scope.le(self, other)\n\n    def __getitem__(self, idx):\n        if self.o_len is not None and isinstance(idx, int):\n            if idx >= self.o_len:\n                #  -- this IndexError is essential for supporting\n                #     tuple-unpacking syntax or list coersion of self.\n                raise IndexError()\n        return scope.getitem(self, idx)\n\n    def __len__(self):\n        if self.o_len is None:\n            raise TypeError('len of pyll.Apply either undefined or unknown')\n        return self.o_len\n\n    def __call__(self, *args, **kwargs):\n        return scope.call(self, args, kwargs)\n\n\ndef apply(name, *args, **kwargs):\n    pos_args = [as_apply(a) for a in args]\n    named_args = [(k, as_apply(v)) for (k, v) in list(kwargs.items())]\n    named_args.sort()\n    return Apply(name,\n                 pos_args=pos_args,\n                 named_args=named_args,\n                 o_len=None)\n\n\nclass Literal(Apply):\n    def __init__(self, obj=None):\n        try:\n            o_len = len(obj)\n        except TypeError:\n            o_len = None\n        Apply.__init__(self, 'literal', [], {}, o_len, pure=True)\n        self._obj = obj\n\n    def eval(self, memo=None):\n        if memo is None:\n            memo = {}\n        return memo.setdefault(id(self), self._obj)\n\n    @property\n    def obj(self):\n        return self._obj\n\n    @property\n    def arg(self):\n        return {}\n\n    def pprint(self, ofile, lineno=None, indent=0, memo=None):\n        if lineno is None:\n            lineno = [0]\n        if memo is None:\n            memo = {}\n        if self in memo:\n            print(lineno[0], ' ' * indent + memo[self], file=ofile)\n        else:\n            # TODO: set up a registry for this\n            if isinstance(self._obj, np.ndarray):\n                msg = 'Literal{np.ndarray,shape=%s,min=%f,max=%f}' % (\n                      self._obj.shape, self._obj.min(), self._obj.max())\n            else:\n                msg = 'Literal{%s}' % str(self._obj)\n            memo[self] = '%s  [line:%i]' % (msg, lineno[0])\n            print(lineno[0], ' ' * indent + msg, file=ofile)\n        lineno[0] += 1\n\n    def replace_input(self, old_node, new_node):\n        return []\n\n    def clone_from_inputs(self, inputs, o_len='same'):\n        return self.__class__(self._obj)\n\n\nclass Lambda(object):\n\n    # XXX: Extend Lambda objects to have a list of exception clauses.\n    #      If the code of the expr() throws an error, these clauses convert\n    #      that error to a return value.\n\n    def __init__(self, name, params, expr):\n        self.__name__ = name  # like a python function\n        self.params = params  # list of (name, symbol[, default_value]) tuples\n        self.expr = expr      # pyll graph defining this Lambda\n\n    def __call__(self, *args, **kwargs):\n        # -- return `expr` cloned from given args and kwargs\n        if len(args) > len(self.params):\n            raise TypeError('too many arguments')\n        memo = {}\n        for arg, param in zip(args, self.params):\n            # print('applying with arg', param, arg)\n            memo[param[1]] = as_apply(arg)\n        if len(args) != len(self.params) or kwargs:\n            raise NotImplementedError('named / default arguments',\n                                      (args, self.params))\n        rval = clone(self.expr, memo)\n        return rval\n\n\nclass UndefinedValue(object):\n    pass\n\n\n# -- set up some convenience symbols to use as parameters in Lambda definitions\np0 = Literal(UndefinedValue)\np1 = Literal(UndefinedValue)\np2 = Literal(UndefinedValue)\np3 = Literal(UndefinedValue)\np4 = Literal(UndefinedValue)\n\n\n@scope.define\ndef call(fn, args=(), kwargs={}):\n    \"\"\" call fn with given args and kwargs.\n\n    This is used to represent Apply.__call__\n    \"\"\"\n    return fn(*args, **kwargs)\n\n\n@scope.define\ndef callpipe1(fn_list, arg):\n    \"\"\"\n\n    fn_list: a list lambdas  that return either pyll expressions or python\n        values\n\n    arg: the argument to the first function in the list\n\n    return: `fn_list[-1]( ... (fn_list[1](fn_list[0](arg))))`\n\n    \"\"\"\n    # XXX: in current implementation, if fs are `partial`, then\n    #      this loop will expand all functions f at once, so that they\n    #      will all be evaluated in the same scope/memo by rec_eval.\n    #      Normally programming languages would evaluate each f in a private\n    #      scope\n    for f in fn_list:\n        arg = f(arg)\n    return arg\n\n\n@scope.define\ndef partial(name, *args, **kwargs):\n    # TODO: introspect the named instruction, to retrieve the\n    #       list of parameters *not* accounted for by args and kwargs\n    # then delete these stupid functions and just have one `partial`\n    try:\n        name = name.apply_name  # to retrieve name from scope.foo methods\n    except AttributeError:\n        pass\n\n    my_id = len(scope._impls)\n    # -- create a function with this name\n    #    the name is the string used index into scope._impls\n    temp_name = 'partial_%s_id%i' % (name, my_id)\n    l = Lambda(temp_name, [('x', p0)],\n               expr=apply(name, *(args + (p0,)), **kwargs))\n    scope.define(l)\n    # assert that the next partial will get a different id\n    # XXX; THIS ASSUMES THAT SCOPE ONLY GROWS\n    assert my_id < len(scope._impls)\n    rval = getattr(scope, temp_name)\n    return rval\n\n\ndef dfs(aa, seq=None, seqset=None):\n    if seq is None:\n        assert seqset is None\n        seq = []\n        seqset = {}\n    # -- seqset is the set of all nodes we have seen (which may be still on\n    #    the stack)\n    #    N.B. it used to be a stack, but now it's a dict mapping to inputs\n    #    because that's an optimization saving us from having to call inputs\n    #    so often.\n    if aa in seqset:\n        return\n    assert isinstance(aa, Apply)\n    seqset[aa] = aa.inputs()\n    for ii in seqset[aa]:\n        dfs(ii, seq, seqset)\n    seq.append(aa)\n    return seq\n\n\ndef toposort(expr):\n    \"\"\"\n    Return apply nodes of `expr` sub-tree as a list in topological order.\n\n    Raises networkx.NetworkXUnfeasible if subtree contains cycle.\n\n    \"\"\"\n    G = nx.DiGraph()\n    for node in dfs(expr):\n        G.add_edges_from([(n_in, node) for n_in in node.inputs()])\n    order = list(nx.topological_sort(G))\n    assert order[-1] == expr\n    return order\n\n\ndef clone(expr, memo=None):\n    if memo is None:\n        memo = {}\n    nodes = dfs(expr)\n    for node in nodes:\n        if node not in memo:\n            new_inputs = [memo[arg] for arg in node.inputs()]\n            new_node = node.clone_from_inputs(new_inputs)\n            memo[node] = new_node\n    return memo[expr]\n\n\ndef clone_merge(expr, memo=None, merge_literals=False):\n    nodes = dfs(expr)\n    if memo is None:\n        memo = {}\n    # -- args are somewhat slow to construct, so cache them out front\n    #    XXX node.arg does not always work (builtins, weird co_flags)\n    node_args = [(node.pos_args, node.named_args) for node in nodes]\n    try:\n        del node\n    except:\n        pass\n    for ii, node_ii in enumerate(nodes):\n        if node_ii in memo:\n            continue\n        new_ii = None\n        if node_ii.pure:\n            for jj in range(ii):\n                node_jj = nodes[jj]\n                if node_ii.name != node_jj.name:\n                    continue\n                if node_ii.name == 'literal':\n                    if not merge_literals:\n                        continue\n                    if node_ii._obj != node_jj._obj:\n                        continue\n                else:\n                    if node_args[ii] != node_args[jj]:\n                        continue\n                logger.debug('clone_merge %s %i <- %i' % (\n                    node_ii.name, jj, ii))\n                new_ii = node_jj\n                break\n        if new_ii is None:\n            new_inputs = [memo[arg] for arg in node_ii.inputs()]\n            new_ii = node_ii.clone_from_inputs(new_inputs)\n        memo[node_ii] = new_ii\n\n    return memo[expr]\n\n\n##############################################################################\n##############################################################################\n\n\nclass GarbageCollected(object):\n    '''Placeholder representing a garbage-collected value '''\n\n\ndef rec_eval(expr, deepcopy_inputs=False, memo=None,\n             max_program_len=None,\n             memo_gc=True,\n             print_trace=False,\n             print_node_on_error=True,\n             ):\n    \"\"\"\n    expr - pyll Apply instance to be evaluated\n\n    memo - optional dictionary of values to use for particular nodes\n\n    deepcopy_inputs - deepcopy inputs to every node prior to calling that\n        node's function on those inputs. If this leads to a different return\n        value, then some function (XXX add more complete DebugMode\n        functionality) in your graph is modifying its inputs and causing\n        mis-calculation. XXX: This is not a fully-functional DebugMode because\n        if the offender happens on account of the toposort order to be the last\n        user of said input, then it will not be detected as a potential\n        problem.\n\n    \"\"\"\n    if max_program_len == None:\n        max_program_len = DEFAULT_MAX_PROGRAM_LEN\n\n    if deepcopy_inputs not in (0, 1, False, True):\n        # -- I've been calling rec_eval(expr, memo) by accident a few times\n        #    this error would have been appreciated.\n        raise ValueError('deepcopy_inputs should be bool', deepcopy_inputs)\n\n    node = as_apply(expr)\n    topnode = node\n\n    if memo is None:\n        memo = {}\n    else:\n        memo = dict(memo)\n\n    # -- hack for speed\n    #    since the inputs are constant during rec_eval\n    #    but not constant in general\n    node_inputs = {}\n    node_list = []\n    dfs(node, node_list, seqset=node_inputs)\n\n    # TODO: optimize dfs to not recurse past the items in memo\n    #       this is especially important for evaluating Lambdas\n    #       which cause rec_eval to recurse\n    #\n    # N.B. that Lambdas may expand the graph during the evaluation\n    #      so that this iteration may be an incomplete\n    if memo_gc:\n        clients = {}\n        for aa in node_list:\n            clients.setdefault(aa, set())\n            for ii in node_inputs[aa]:\n                clients.setdefault(ii, set()).add(aa)\n\n        def set_memo(k, v):\n            assert v is not GarbageCollected\n            memo[k] = v\n            for ii in node_inputs[k]:\n                # -- if all clients of ii are already in the memo\n                #    then we can free memo[ii] by replacing it\n                #    with a dummy symbol\n                if all(iic in memo for iic in clients[ii]):\n                    memo[ii] = GarbageCollected\n    else:\n        def set_memo(k, v):\n            memo[k] = v\n\n    todo = deque([topnode])\n    while todo:\n        if len(todo) > max_program_len:\n            raise RuntimeError('Probably infinite loop in document')\n        node = todo.pop()\n        if print_trace:\n            print('rec_eval:print_trace', len(todo), node.name)\n\n        if node in memo:\n            # -- we've already computed this, move on.\n            continue\n\n        # -- different kinds of nodes are treated differently:\n        if node.name == 'switch':\n            # -- switch is the conditional evaluation node\n            switch_i_var = node.pos_args[0]\n            if switch_i_var in memo:\n                switch_i = memo[switch_i_var]\n                try:\n                    int(switch_i)\n                except:\n                    raise TypeError('switch argument was', switch_i)\n                if switch_i != int(switch_i) or switch_i < 0:\n                    raise ValueError('switch pos must be positive int',\n                                     switch_i)\n                rval_var = node.pos_args[int(switch_i) + 1]\n                if rval_var in memo:\n                    set_memo(node, memo[rval_var])\n                    continue\n                else:\n                    waiting_on = [rval_var]\n            else:\n                waiting_on = [switch_i_var]\n        elif isinstance(node, Literal):\n            # -- constants go straight into the memo\n            set_memo(node, node.obj)\n            continue\n        else:\n            # -- normal instruction-type nodes have inputs\n            waiting_on = [v for v in node_inputs[node] if v not in memo]\n\n        if waiting_on:\n            # -- Necessary inputs have yet to be evaluated.\n            #    push the node back in the queue, along with the\n            #    inputs it still needs\n            todo.append(node)\n            todo.extend(waiting_on)\n        else:\n            # -- not waiting on anything;\n            #    this instruction can be evaluated.\n            args = _args = [memo[v] for v in node.pos_args]\n            kwargs = _kwargs = dict(\n                [(k, memo[v]) for (k, v) in node.named_args]\n            )\n\n            if memo_gc:\n                for aa in args + list(kwargs.values()):\n                    assert aa is not GarbageCollected\n\n            if deepcopy_inputs:\n                args = copy.deepcopy(_args)\n                kwargs = copy.deepcopy(_kwargs)\n\n            try:\n                rval = scope._impls[node.name](*args, **kwargs)\n\n            except Exception as e:\n                if print_node_on_error:\n                    print('=' * 80)\n                    print('ERROR in rec_eval')\n                    print('EXCEPTION', type(e), str(e))\n                    print('NODE')\n                    print(node)  # -- typically a multi-line string\n                    print('=' * 80)\n                raise\n\n            if isinstance(rval, Apply):\n                # -- if an instruction returns a Pyll apply node\n                # it means evaluate that too. Lambdas do this.\n                #\n                # XXX: consider if it is desirable, efficient, buggy\n                #      etc. to keep using the same memo dictionary\n                foo = rec_eval(rval, deepcopy_inputs, memo,\n                               memo_gc=memo_gc)\n                set_memo(node, foo)\n            else:\n                set_memo(node, rval)\n\n    return memo[topnode]\n\n\n############################################################################\n############################################################################\n\n@scope.define_pure\ndef pos_args(*args):\n    return args\n\n\n@scope.define_pure\ndef identity(obj):\n    return obj\n\n\n# -- We used to define these as Python functions in this file, but the operator\n#    module already provides them, is slightly more efficient about it. Since\n#    searchspaces uses the same convention, we can more easily map graphs back\n#    and forth and reduce the amount of code in both codebases.\nscope.define_pure(operator.getitem)\nscope.define_pure(operator.add)\nscope.define_pure(operator.sub)\nscope.define_pure(operator.mul)\ntry:\n    scope.define_pure(operator.div)\nexcept AttributeError:\n    pass  # No more operator.div in Python3, but truediv also exists since Python2.2\nscope.define_pure(operator.truediv)\nscope.define_pure(operator.floordiv)\nscope.define_pure(operator.neg)\nscope.define_pure(operator.eq)\nscope.define_pure(operator.lt)\nscope.define_pure(operator.le)\nscope.define_pure(operator.gt)\nscope.define_pure(operator.ge)\n\n\n@scope.define_pure\ndef exp(a):\n    return np.exp(a)\n\n\n@scope.define_pure\ndef log(a):\n    return np.log(a)\n\n\n@scope.define_pure\ndef pow(a, b):\n    return a ** b\n\n\n@scope.define_pure\ndef sin(a):\n    return np.sin(a)\n\n\n@scope.define_pure\ndef cos(a):\n    return np.cos(a)\n\n\n@scope.define_pure\ndef tan(a):\n    return np.tan(a)\n\n\n@scope.define_pure\ndef sum(x, axis=None):\n    if axis is None:\n        return np.sum(x)\n    else:\n        return np.sum(x, axis=axis)\n\n\n@scope.define_pure\ndef sqrt(x):\n    return np.sqrt(x)\n\n\n@scope.define_pure\ndef minimum(x, y):\n    return np.minimum(x, y)\n\n\n@scope.define_pure\ndef maximum(x, y):\n    return np.maximum(x, y)\n\n\n@scope.define_pure\ndef array_union1(args):\n    s = set()\n    for a in args:\n        s.update(a)\n    return np.asarray(sorted(s))\n\n\n@scope.define_pure\ndef array_union(*args):\n    return array_union1(args)\n\n\n@scope.define_pure\ndef asarray(a, dtype=None):\n    if dtype is None:\n        return np.asarray(a)\n    else:\n        return np.asarray(a, dtype=dtype)\n\n\n@scope.define_pure\ndef str_join(s, seq):\n    return s.join(seq)\n\n\ndef _bincount_slow(x, weights=None, minlength=None):\n    \"\"\"backport of np.bincount post numpy 1.6\n    \"\"\"\n    if weights is not None:\n        raise NotImplementedError()\n    if minlength is None:\n        rlen = np.max(x) + 1\n    else:\n        rlen = max(np.max(x) + 1, minlength)\n    rval = np.zeros(rlen, dtype='int')\n    for xi in np.asarray(x).flatten():\n        rval[xi] += 1\n    return rval\n\n\n@scope.define_pure\ndef bincount(x, weights=None, minlength=None):\n    if np_versions[0] == 1 and np_versions[1] < 6:\n        # -- np.bincount doesn't have minlength arg\n        return _bincount_slow(x, weights, minlength)\n    else:\n        if np.asarray(x).size:\n            return np.bincount(x, weights, minlength)\n        else:\n            # -- currently numpy rejects this case,\n            #    but it seems sensible enough to me.\n            return np.zeros(minlength, dtype='int')\n\n\n@scope.define_pure\ndef repeat(n_times, obj):\n    return [obj] * n_times\n\n\n@scope.define\ndef call_method(obj, methodname, *args, **kwargs):\n    method = getattr(obj, methodname)\n    return method(*args, **kwargs)\n\n\n@scope.define_pure\ndef call_method_pure(obj, methodname, *args, **kwargs):\n    method = getattr(obj, methodname)\n    return method(*args, **kwargs)\n\n\n@scope.define_pure\ndef copy_call_method_pure(obj, methodname, *args, **kwargs):\n    # -- this method copies object before calling the method\n    #    so that in the case where args and kwargs are not modified\n    #    the call_method can be done in a no-side-effect way.\n    #\n    #    It is a mistake to use this method when args or kwargs are modified\n    #    by the call to method.\n    method = getattr(copy.copy(obj), methodname)\n    return method(*args, **kwargs)\n\n\n@scope.define_pure\ndef switch(pos, *args):\n    # switch is an unusual expression, in that it affects control flow\n    # when executed with rec_eval. args are not all evaluated, only\n    # args[pos] is evaluated.\n    # raise RuntimeError('switch is not meant to be evaluated')\n    #\n    # .. However, in quick-evaluation schemes it is handy that this be defined\n    # as follows:\n    return args[pos]\n\n\ndef _kwswitch(kw, **kwargs):\n    \"\"\"conditional evaluation according to string value\"\"\"\n    # Get the index of the string in kwargs to use switch\n    keys, values = list(zip(*sorted(kwargs.items())))\n    match_idx = scope.call_method_pure(keys, 'index', kw)\n    return scope.switch(match_idx, *values)\n\nscope.kwswitch = _kwswitch\n\n\n@scope.define_pure\ndef Raise(etype, *args, **kwargs):\n    raise etype(*args, **kwargs)\n\n\n@scope.define_info(o_len=2)\ndef curtime(obj):\n    return time.time(), obj\n\n\n@scope.define\ndef pdb_settrace(obj):\n    import pdb\n    pdb.set_trace()\n    return obj\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/pyll/stochastic.py",
    "content": "\"\"\"\nConstructs for annotating base graphs.\n\"\"\"\nfrom __future__ import print_function\nfrom __future__ import division\nfrom builtins import range\nfrom past.utils import old_div\nimport sys\nimport numpy as np\nfrom .base import scope, as_apply, dfs, rec_eval, clone\n\n################################################################################\n################################################################################\n\n\ndef ERR(msg):\n    print(msg, file=sys.stderr)\n\n\nimplicit_stochastic_symbols = set()\n\n\ndef implicit_stochastic(f):\n    implicit_stochastic_symbols.add(f.__name__)\n    return f\n\n\n@scope.define\ndef rng_from_seed(seed):\n    return np.random.RandomState(seed)\n\n\n# -- UNIFORM\n\n@implicit_stochastic\n@scope.define\ndef uniform(low, high, rng=None, size=()):\n    return rng.uniform(low, high, size=size)\n\n\n@implicit_stochastic\n@scope.define\ndef loguniform(low, high, rng=None, size=()):\n    draw = rng.uniform(low, high, size=size)\n    return np.exp(draw)\n\n\n@implicit_stochastic\n@scope.define\ndef quniform(low, high, q, rng=None, size=()):\n    draw = rng.uniform(low, high, size=size)\n    return np.round(old_div(draw, q)) * q\n\n\n@implicit_stochastic\n@scope.define\ndef qloguniform(low, high, q, rng=None, size=()):\n    draw = np.exp(rng.uniform(low, high, size=size))\n    return np.round(old_div(draw, q)) * q\n\n\n# -- NORMAL\n\n@implicit_stochastic\n@scope.define\ndef normal(mu, sigma, rng=None, size=()):\n    return rng.normal(mu, sigma, size=size)\n\n\n@implicit_stochastic\n@scope.define\ndef qnormal(mu, sigma, q, rng=None, size=()):\n    draw = rng.normal(mu, sigma, size=size)\n    return np.round(old_div(draw, q)) * q\n\n\n@implicit_stochastic\n@scope.define\ndef lognormal(mu, sigma, rng=None, size=()):\n    draw = rng.normal(mu, sigma, size=size)\n    return np.exp(draw)\n\n\n@implicit_stochastic\n@scope.define\ndef qlognormal(mu, sigma, q, rng=None, size=()):\n    draw = np.exp(rng.normal(mu, sigma, size=size))\n    return np.round(old_div(draw, q)) * q\n\n\n# -- CATEGORICAL\n\n\n@implicit_stochastic\n@scope.define\ndef randint(upper, rng=None, size=()):\n    # this is tricky because numpy doesn't support\n    # upper being a list of len size[0]\n    if isinstance(upper, (list, tuple)):\n        if isinstance(size, int):\n            assert len(upper) == size\n            return np.asarray([rng.randint(uu) for uu in upper])\n        elif len(size) == 1:\n            assert len(upper) == size[0]\n            return np.asarray([rng.randint(uu) for uu in upper])\n    return rng.randint(upper, size=size)\n\n\n@implicit_stochastic\n@scope.define\ndef categorical(p, upper=None, rng=None, size=()):\n    \"\"\"Draws i with probability p[i]\"\"\"\n    if len(p) == 1 and isinstance(p[0], np.ndarray):\n        p = p[0]\n    p = np.asarray(p)\n\n    if size == ():\n        size = (1,)\n    elif isinstance(size, (int, np.number)):\n        size = (size,)\n    else:\n        size = tuple(size)\n\n    if size == (0,):\n        return np.asarray([])\n    assert len(size)\n\n    if p.ndim == 0:\n        raise NotImplementedError()\n    elif p.ndim == 1:\n        n_draws = int(np.prod(size))\n        sample = rng.multinomial(n=1, pvals=p, size=int(n_draws))\n        assert sample.shape == size + (len(p),)\n        rval = np.dot(sample, np.arange(len(p)))\n        rval.shape = size\n        return rval\n    elif p.ndim == 2:\n        n_draws_, n_choices = p.shape\n        n_draws, = size\n        assert n_draws == n_draws_\n        rval = [np.where(rng.multinomial(pvals=p[ii], n=1))[0][0]\n                for ii in range(n_draws)]\n        rval = np.asarray(rval)\n        rval.shape = size\n        return rval\n    else:\n        raise NotImplementedError()\n\n\ndef choice(args):\n    return scope.one_of(*args)\nscope.choice = choice\n\n\ndef one_of(*args):\n    ii = scope.randint(len(args))\n    return scope.switch(ii, *args)\nscope.one_of = one_of\n\n\ndef recursive_set_rng_kwarg(expr, rng=None):\n    \"\"\"\n    Make all of the stochastic nodes in expr use the rng\n\n    uniform(0, 1) -> uniform(0, 1, rng=rng)\n    \"\"\"\n    if rng is None:\n        rng = np.random.RandomState()\n    lrng = as_apply(rng)\n    for node in dfs(expr):\n        if node.name in implicit_stochastic_symbols:\n            for ii, (name, arg) in enumerate(list(node.named_args)):\n                if name == 'rng':\n                    node.named_args[ii] = ('rng', lrng)\n                    break\n            else:\n                node.named_args.append(('rng', lrng))\n    return expr\n\n\ndef sample(expr, rng=None, **kwargs):\n    \"\"\"\n    Parameters:\n    expr - a pyll expression to be evaluated\n\n    rng - a np.random.RandomState instance\n          default: `np.random.RandomState()`\n\n    **kwargs - optional arguments passed along to\n               `hyperopt.pyll.rec_eval`\n\n    \"\"\"\n    if rng is None:\n        rng = np.random.RandomState()\n    foo = recursive_set_rng_kwarg(clone(as_apply(expr)), as_apply(rng))\n    return rec_eval(foo, **kwargs)\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/pyll_utils.py",
    "content": "from __future__ import absolute_import\nfrom builtins import str\nfrom builtins import zip\nfrom builtins import range\nfrom past.builtins import basestring\nfrom builtins import object\nfrom functools import partial, wraps\nfrom .base import DuplicateLabel\nfrom .pyll.base import Apply, Literal\nfrom .pyll import scope\nfrom .pyll import as_apply\n\n\ndef validate_label(f):\n    @wraps(f)\n    def wrapper(label, *args, **kwargs):\n        is_real_string = isinstance(label, basestring)\n        is_literal_string = (isinstance(label, Literal) and\n                             isinstance(label.obj, basestring))\n        if not is_real_string and not is_literal_string:\n            raise TypeError('require string label')\n        return f(label, *args, **kwargs)\n    return wrapper\n\n\n#\n# Hyperparameter Types\n#\n\n@scope.define\ndef hyperopt_param(label, obj):\n    \"\"\" A graph node primarily for annotating - VectorizeHelper looks out\n    for these guys, and optimizes subgraphs of the form:\n\n        hyperopt_param(<stochastic_expression>(...))\n\n    \"\"\"\n    return obj\n\n\n@validate_label\ndef hp_pchoice(label, p_options):\n    \"\"\"\n    label: string\n    p_options: list of (probability, option) pairs\n    \"\"\"\n    p, options = list(zip(*p_options))\n    n_options = len(options)\n    ch = scope.hyperopt_param(label,\n                              scope.categorical(\n                                  p,\n                                  upper=n_options))\n    return scope.switch(ch, *options)\n\n\n@validate_label\ndef hp_choice(label, options):\n    ch = scope.hyperopt_param(label,\n                              scope.randint(len(options)))\n    return scope.switch(ch, *options)\n\n\n@validate_label\ndef hp_randint(label, *args, **kwargs):\n    return scope.hyperopt_param(label,\n                                scope.randint(*args, **kwargs))\n\n\n@validate_label\ndef hp_uniform(label, *args, **kwargs):\n    return scope.float(\n        scope.hyperopt_param(label,\n                             scope.uniform(*args, **kwargs)))\n\n\n@validate_label\ndef hp_quniform(label, *args, **kwargs):\n    return scope.float(\n        scope.hyperopt_param(label,\n                             scope.quniform(*args, **kwargs)))\n\n\n@validate_label\ndef hp_loguniform(label, *args, **kwargs):\n    return scope.float(\n        scope.hyperopt_param(label,\n                             scope.loguniform(*args, **kwargs)))\n\n\n@validate_label\ndef hp_qloguniform(label, *args, **kwargs):\n    return scope.float(\n        scope.hyperopt_param(label,\n                             scope.qloguniform(*args, **kwargs)))\n\n\n@validate_label\ndef hp_normal(label, *args, **kwargs):\n    return scope.float(\n        scope.hyperopt_param(label,\n                             scope.normal(*args, **kwargs)))\n\n\n@validate_label\ndef hp_qnormal(label, *args, **kwargs):\n    return scope.float(\n        scope.hyperopt_param(label,\n                             scope.qnormal(*args, **kwargs)))\n\n\n@validate_label\ndef hp_lognormal(label, *args, **kwargs):\n    return scope.float(\n        scope.hyperopt_param(label,\n                             scope.lognormal(*args, **kwargs)))\n\n\n@validate_label\ndef hp_qlognormal(label, *args, **kwargs):\n    return scope.float(\n        scope.hyperopt_param(label,\n                             scope.qlognormal(*args, **kwargs)))\n\n\n#\n# Tools for extracting a search space from a Pyll graph\n#\n\n\nclass Cond(object):\n\n    def __init__(self, name, val, op):\n        self.op = op\n        self.name = name\n        self.val = val\n\n    def __str__(self):\n        return 'Cond{%s %s %s}' % (self.name, self.op, self.val)\n\n    def __eq__(self, other):\n        return self.op == other.op and self.name == other.name and self.val == other.val\n\n    def __hash__(self):\n        return hash((self.op, self.name, self.val))\n\n    def __repr__(self):\n        return str(self)\n\nEQ = partial(Cond, op='=')\n\n\ndef _expr_to_config(expr, conditions, hps):\n    if expr.name == 'switch':\n        idx = expr.inputs()[0]\n        options = expr.inputs()[1:]\n        assert idx.name == 'hyperopt_param'\n        assert idx.arg['obj'].name in (\n            'randint',     # -- in case of hp.choice\n            'categorical',  # -- in case of hp.pchoice\n        )\n        _expr_to_config(idx, conditions, hps)\n        for ii, opt in enumerate(options):\n            _expr_to_config(opt,\n                            conditions + (EQ(idx.arg['label'].obj, ii),),\n                            hps)\n    elif expr.name == 'hyperopt_param':\n        label = expr.arg['label'].obj\n        if label in hps:\n            if hps[label]['node'] != expr.arg['obj']:\n                raise DuplicateLabel(label)\n            hps[label]['conditions'].add(conditions)\n        else:\n            hps[label] = {'node': expr.arg['obj'],\n                          'conditions': set((conditions,)),\n                          'label': label,\n                          }\n    else:\n        for ii in expr.inputs():\n            _expr_to_config(ii, conditions, hps)\n\n\ndef expr_to_config(expr, conditions, hps):\n    \"\"\"\n    Populate dictionary `hps` with the hyperparameters in pyll graph `expr`\n    and conditions for participation in the evaluation of `expr`.\n\n    Arguments:\n    expr       - a pyll expression root.\n    conditions - a tuple of conditions (`Cond`) that must be True for\n                 `expr` to be evaluated.\n    hps        - dictionary to populate\n\n    Creates `hps` dictionary:\n        label -> { 'node': apply node of hyperparameter distribution,\n                   'conditions': `conditions` + tuple,\n                   'label': label\n                   }\n    \"\"\"\n    expr = as_apply(expr)\n    if conditions is None:\n        conditions = ()\n    assert isinstance(expr, Apply)\n    _expr_to_config(expr, conditions, hps)\n    _remove_allpaths(hps, conditions)\n\n\ndef _remove_allpaths(hps, conditions):\n    \"\"\"Hacky way to recognize some kinds of false dependencies\n    Better would be logic programming.\n    \"\"\"\n    potential_conds = {}\n    for k, v in list(hps.items()):\n        if v['node'].name in ('randint', 'categorical'):\n            upper = v['node'].arg['upper'].obj\n            potential_conds[k] = frozenset([EQ(k, ii) for ii in range(upper)])\n\n    for k, v in list(hps.items()):\n        if len(v['conditions']) > 1:\n            all_conds = [[c for c in cond if c is not True]\n                         for cond in v['conditions']]\n            all_conds = [cond for cond in all_conds if len(cond) >= 1]\n            if len(all_conds) == 0:\n                v['conditions'] = set([conditions])\n                continue\n\n            depvar = all_conds[0][0].name\n\n            all_one_var = all(len(cond) == 1 and cond[0].name == depvar\n                              for cond in all_conds)\n            if all_one_var:\n                conds = [cond[0] for cond in all_conds]\n                if frozenset(conds) == potential_conds[depvar]:\n                    v['conditions'] = set([conditions])\n                    continue\n\n\n# -- eof\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/rand.py",
    "content": "\"\"\"\nRandom search - presented as hyperopt.fmin_random\n\"\"\"\nfrom __future__ import absolute_import\nimport logging\nimport numpy as np\n\nfrom . import pyll\n\nfrom .base import miscs_update_idxs_vals\n\nlogger = logging.getLogger(__name__)\n\n\ndef suggest(new_ids, domain, trials, seed):\n    rng = np.random.RandomState(seed)\n    rval = []\n    for ii, new_id in enumerate(new_ids):\n        # -- sample new specs, idxs, vals\n        idxs, vals = pyll.rec_eval(\n            domain.s_idxs_vals,\n            memo={\n                domain.s_new_ids: [new_id],\n                domain.s_rng: rng,\n            })\n        new_result = domain.new_result()\n        new_misc = dict(tid=new_id, cmd=domain.cmd, workdir=domain.workdir)\n        miscs_update_idxs_vals([new_misc], idxs, vals)\n        rval.extend(trials.new_trial_docs([new_id],\n                    [None], [new_result], [new_misc]))\n    return rval\n\n\ndef suggest_batch(new_ids, domain, trials, seed):\n\n    rng = np.random.RandomState(seed)\n    # -- sample new specs, idxs, vals\n    idxs, vals = pyll.rec_eval(\n        domain.s_idxs_vals,\n        memo={\n            domain.s_new_ids: new_ids,\n            domain.s_rng: rng,\n        })\n    return idxs, vals\n\n\n# flake8 likes no trailing blank line\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/rdists.py",
    "content": "\"\"\"\nExtra distributions to complement scipy.stats\n\n\"\"\"\nfrom __future__ import division\nfrom builtins import map\nfrom builtins import object\nfrom past.utils import old_div\nimport numpy as np\nimport numpy.random as mtrand\nimport scipy.stats\nfrom scipy.stats import rv_continuous  # , rv_discrete\n\n\nclass loguniform_gen(rv_continuous):\n    \"\"\" Stats for Y = e^X where X ~ U(low, high).\n\n    \"\"\"\n\n    def __init__(self, low=0, high=1):\n        rv_continuous.__init__(self,\n                               a=np.exp(low),\n                               b=np.exp(high))\n        self._low = low\n        self._high = high\n\n    def _rvs(self):\n        rval = np.exp(mtrand.uniform(\n            self._low,\n            self._high,\n            self._size))\n        return rval\n\n    def _pdf(self, x):\n        return old_div(1.0, (x * (self._high - self._low)))\n\n    def _logpdf(self, x):\n        return - np.log(x) - np.log(self._high - self._low)\n\n    def _cdf(self, x):\n        return old_div((np.log(x) - self._low), (self._high - self._low))\n\n\nfrom scipy.stats._continuous_distns import lognorm_gen as scipy_lognorm_gen\n\nclass lognorm_gen(scipy_lognorm_gen):\n    def __init__(self, mu, sigma):\n        self.mu_ = mu\n        self.s_ = sigma\n        scipy_lognorm_gen.__init__(self)\n\n        # I still don't understand what scipy stats objects are\n        # doing re: this stuff\n        del self.__dict__['_parse_args']\n        del self.__dict__['_parse_args_stats']\n        del self.__dict__['_parse_args_rvs']\n\n    def _parse_args(self, *args, **kwds):\n        assert not args, args\n        assert not kwds, kwds\n        args = (self.s_,)\n        loc = 0\n        scale = np.exp(self.mu_)\n        return args, loc, scale\n\n\ndef qtable_pmf(x, q, qlow, xs, ps):\n    qx = np.round(old_div(np.atleast_1d(x).astype(np.float), q)) * q\n    is_multiple = np.isclose(qx, x)\n    ix = np.round(old_div((qx - qlow), q)).astype(np.int)\n    is_inbounds = np.logical_and(ix >= 0, ix < len(ps))\n    oks = np.logical_and(is_multiple, is_inbounds)\n    rval = np.zeros_like(qx)\n    rval[oks] = np.asarray(ps)[ix[oks]]\n    if isinstance(x, np.ndarray):\n        return rval.reshape(x.shape)\n    else:\n        return float(rval)\n\n\ndef qtable_logpmf(x, q, qlow, xs, ps):\n    p = qtable_pmf(np.atleast_1d(x), q, qlow, xs, ps)\n    # -- this if/else avoids np warning about underflow\n    rval = np.zeros_like(p)\n    rval[p == 0] = -np.inf\n    rval[p != 0] = np.log(p[p != 0])\n    if isinstance(x, np.ndarray):\n        return rval\n    else:\n        return float(rval)\n\n\nclass quniform_gen(object):\n    # -- not inheriting from scipy.stats.rv_discrete\n    #    because I don't understand the design of those rv classes\n    \"\"\" Stats for Y = q * round(X / q) where X ~ U(low, high).\n\n    \"\"\"\n\n    def __init__(self, low, high, q):\n        low, high, q = list(map(float, (low, high, q)))\n        qlow = np.round(old_div(low, q)) * q\n        qhigh = np.round(old_div(high, q)) * q\n        if qlow == qhigh:\n            xs = [qlow]\n            ps = [1.0]\n        else:\n            lowmass = 1 - (old_div((low - qlow + .5 * q), q))\n            assert 0 <= lowmass <= 1.0, (lowmass, low, qlow, q)\n            highmass = old_div((high - qhigh + .5 * q), q)\n            assert 0 <= highmass <= 1.0, (highmass, high, qhigh, q)\n            # -- xs: qlow to qhigh inclusive\n            xs = np.arange(qlow, qhigh + .5 * q, q)\n            ps = np.ones(len(xs))\n            ps[0] = lowmass\n            ps[-1] = highmass\n            ps /= ps.sum()\n\n        self.low = low\n        self.high = high\n        self.q = q\n        self.qlow = qlow\n        self.qhigh = qhigh\n        self.xs = np.asarray(xs)\n        self.ps = np.asarray(ps)\n\n    def pmf(self, x):\n        return qtable_pmf(x, self.q, self.qlow, self.xs, self.ps)\n\n    def logpmf(self, x):\n        return qtable_logpmf(x, self.q, self.qlow, self.xs, self.ps)\n\n    def rvs(self, size=()):\n        rval = mtrand.uniform(low=self.low, high=self.high, size=size)\n        rval = np.round(old_div(rval, self.q)) * self.q\n        return rval\n\n\nclass qloguniform_gen(quniform_gen):\n    \"\"\" Stats for Y = q * round(e^X / q) where X ~ U(low, high).\n\n    \"\"\"\n    # -- not inheriting from scipy.stats.rv_discrete\n    #    because I don't understand the design of those rv classes\n\n    def __init__(self, low, high, q):\n        low, high, q = list(map(float, (low, high, q)))\n        elow = np.exp(low)\n        ehigh = np.exp(high)\n        qlow = np.round(old_div(elow, q)) * q\n        qhigh = np.round(old_div(ehigh, q)) * q\n\n        # -- loguniform for using the CDF\n        lu = loguniform_gen(low=low, high=high)\n\n        cut_low = np.exp(low)  # -- lowest possible pre-round value\n        cut_high = min(qlow + .5 * q,  # -- highest value that would ...\n                       ehigh)         # -- round to qlow\n        xs = [qlow]\n        ps = [lu.cdf(cut_high)]\n        ii = 0\n        cdf_high = ps[0]\n\n        while cut_high < (ehigh - 1e-10):\n            # TODO: cut_low never used\n            cut_high, cut_low = min(cut_high + q, ehigh), cut_high\n            cdf_high, cdf_low = lu.cdf(cut_high), cdf_high\n            ii += 1\n            xs.append(qlow + ii * q)\n            ps.append(cdf_high - cdf_low)\n\n        ps = np.asarray(ps)\n        ps /= ps.sum()\n\n        self.low = low\n        self.high = high\n        self.q = q\n        self.qlow = qlow\n        self.qhigh = qhigh\n        self.xs = np.asarray(xs)\n        self.ps = ps\n\n    def pmf(self, x):\n        return qtable_pmf(x, self.q, self.qlow, self.xs, self.ps)\n\n    def logpmf(self, x):\n        return qtable_logpmf(x, self.q, self.qlow, self.xs, self.ps)\n\n    def rvs(self, size=()):\n        x = mtrand.uniform(low=self.low, high=self.high, size=size)\n        rval = np.round(old_div(np.exp(x), self.q)) * self.q\n        return rval\n\n\nclass qnormal_gen(object):\n    \"\"\"Stats for Y = q * round(X / q) where X ~ N(mu, sigma)\n    \"\"\"\n\n    def __init__(self, mu, sigma, q):\n        self.mu, self.sigma, self.q = list(map(float, (mu, sigma, q)))\n        # -- distfn for using the CDF\n        self._norm_logcdf = scipy.stats.norm(loc=mu, scale=sigma).logcdf\n\n    def in_domain(self, x):\n        return np.isclose(x, np.round(old_div(x, self.q)) * self.q)\n\n    def pmf(self, x):\n        return np.exp(self.logpmf(x))\n\n    def logpmf(self, x):\n        x1 = np.atleast_1d(x)\n        in_domain = self.in_domain(x1)\n        rval = np.zeros_like(x1, dtype=np.float) - np.inf\n        x_in_domain = x1[in_domain]\n\n        ubound = x_in_domain + self.q * 0.5\n        lbound = x_in_domain - self.q * 0.5\n        # -- reflect intervals right of mu to other side\n        #    for more accurate calculation\n        flip = (lbound > self.mu)\n        tmp = lbound[flip].copy()\n        lbound[flip] = self.mu - (ubound[flip] - self.mu)\n        ubound[flip] = self.mu - (tmp - self.mu)\n\n        assert np.all(ubound > lbound)\n        a = self._norm_logcdf(ubound)\n        b = self._norm_logcdf(lbound)\n        rval[in_domain] = a + np.log1p(- np.exp(b - a))\n        if isinstance(x, np.ndarray):\n            return rval\n        else:\n            return float(rval)\n\n    def rvs(self, size=()):\n        x = mtrand.normal(loc=self.mu, scale=self.sigma, size=size)\n        rval = np.round(old_div(x, self.q)) * self.q\n        return rval\n\n\nclass qlognormal_gen(object):\n    \"\"\"Stats for Y = q * round(exp(X) / q) where X ~ N(mu, sigma)\n    \"\"\"\n\n    def __init__(self, mu, sigma, q):\n        self.mu, self.sigma, self.q = list(map(float, (mu, sigma, q)))\n        # -- distfn for using the CDF\n        self._norm_cdf = scipy.stats.norm(loc=mu, scale=sigma).cdf\n\n    def in_domain(self, x):\n        return np.logical_and((x >= 0),\n                              np.isclose(x, np.round(old_div(x, self.q)) * self.q))\n\n    def pmf(self, x):\n        x1 = np.atleast_1d(x)\n        in_domain = self.in_domain(x1)\n        x1_in_domain = x1[in_domain]\n        rval = np.zeros_like(x1, dtype=np.float)\n        rval_in_domain = self._norm_cdf(np.log(x1_in_domain + 0.5 * self.q))\n        rval_in_domain[x1_in_domain != 0] -= self._norm_cdf(\n            np.log(x1_in_domain[x1_in_domain != 0] - 0.5 * self.q))\n        rval[in_domain] = rval_in_domain\n        if isinstance(x, np.ndarray):\n            return rval\n        else:\n            return float(rval)\n\n    def logpmf(self, x):\n        pmf = self.pmf(np.atleast_1d(x))\n        assert np.all(pmf >= 0)\n        pmf[pmf == 0] = -np.inf\n        pmf[pmf > 0] = np.log(pmf[pmf > 0])\n        if isinstance(x, np.ndarray):\n            return pmf\n        else:\n            return float(pmf)\n\n    def rvs(self, size=()):\n        x = mtrand.normal(loc=self.mu, scale=self.sigma, size=size)\n        rval = np.round(old_div(np.exp(x), self.q)) * self.q\n        return rval\n\n\n# -- non-empty last line for flake8\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/tpe.py",
    "content": "\"\"\"\nGraphical model (GM)-based optimization algorithm using Theano\n\"\"\"\nfrom __future__ import print_function\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom builtins import str\nfrom builtins import map\nfrom builtins import zip\nfrom builtins import range\nfrom past.utils import old_div\nimport logging\nimport time\n\nimport numpy as np\nfrom scipy.special import erf\nfrom . import pyll\nfrom .pyll import scope\nfrom .pyll.stochastic import implicit_stochastic\n\nfrom .base import miscs_to_idxs_vals\nfrom .base import miscs_update_idxs_vals\n# from .base import Trials\nfrom . import rand\n\n__authors__ = \"James Bergstra\"\n__license__ = \"3-clause BSD License\"\n__contact__ = \"github.com/jaberg/hyperopt\"\nlogger = logging.getLogger(__name__)\n\nEPS = 1e-12\n\n# -- default linear forgetting. don't try to change by writing this variable\n# because it's captured in function default args when this file is read\nDEFAULT_LF = 25\n\n\nadaptive_parzen_samplers = {}\n\n\ndef adaptive_parzen_sampler(name):\n    def wrapper(f):\n        assert name not in adaptive_parzen_samplers\n        adaptive_parzen_samplers[name] = f\n        return f\n    return wrapper\n\n\n#\n# These are some custom distributions\n# that are used to represent posterior distributions.\n#\n\n# -- Categorical\n\n@scope.define\ndef categorical_lpdf(sample, p, upper):\n    \"\"\"\n    \"\"\"\n    if sample.size:\n        return np.log(np.asarray(p)[sample])\n    else:\n        return np.asarray([])\n\n\n# -- Bounded Gaussian Mixture Model (BGMM)\n\n@implicit_stochastic\n@scope.define\ndef GMM1(weights, mus, sigmas, low=None, high=None, q=None, rng=None,\n         size=()):\n    \"\"\"Sample from truncated 1-D Gaussian Mixture Model\"\"\"\n    weights, mus, sigmas = list(map(np.asarray, (weights, mus, sigmas)))\n    assert len(weights) == len(mus) == len(sigmas)\n    n_samples = int(np.prod(size))\n    # n_components = len(weights)\n    if low is None and high is None:\n        # -- draw from a standard GMM\n        active = np.argmax(rng.multinomial(1, weights, (n_samples,)), axis=1)\n        samples = rng.normal(loc=mus[active], scale=sigmas[active])\n    else:\n        # -- draw from truncated components\n        # TODO: one-sided-truncation\n        low = float(low)\n        high = float(high)\n        if low >= high:\n            raise ValueError('low >= high', (low, high))\n        samples = []\n        while len(samples) < n_samples:\n            active = np.argmax(rng.multinomial(1, weights))\n            draw = rng.normal(loc=mus[active], scale=sigmas[active])\n            if low <= draw < high:\n                samples.append(draw)\n    samples = np.reshape(np.asarray(samples), size)\n    # print 'SAMPLES', samples\n    if q is None:\n        return samples\n    else:\n        return np.round(old_div(samples, q)) * q\n\n\n@scope.define\ndef normal_cdf(x, mu, sigma):\n    top = (x - mu)\n    bottom = np.maximum(np.sqrt(2) * sigma, EPS)\n    z = old_div(top, bottom)\n    return 0.5 * (1 + erf(z))\n\n\n@scope.define\ndef GMM1_lpdf(samples, weights, mus, sigmas, low=None, high=None, q=None):\n    verbose = 0\n    samples, weights, mus, sigmas = list(map(np.asarray,\n                                         (samples, weights, mus, sigmas)))\n    if samples.size == 0:\n        return np.asarray([])\n    if weights.ndim != 1:\n        raise TypeError('need vector of weights', weights.shape)\n    if mus.ndim != 1:\n        raise TypeError('need vector of mus', mus.shape)\n    if sigmas.ndim != 1:\n        raise TypeError('need vector of sigmas', sigmas.shape)\n    assert len(weights) == len(mus) == len(sigmas)\n    _samples = samples\n    samples = _samples.flatten()\n\n    if verbose:\n        print('GMM1_lpdf:samples', set(samples))\n        print('GMM1_lpdf:weights', weights)\n        print('GMM1_lpdf:mus', mus)\n        print('GMM1_lpdf:sigmas', sigmas)\n        print('GMM1_lpdf:low', low)\n        print('GMM1_lpdf:high', high)\n        print('GMM1_lpdf:q', q)\n\n    if low is None and high is None:\n        p_accept = 1\n    else:\n        p_accept = np.sum(\n            weights * (\n                normal_cdf(high, mus, sigmas) -\n                normal_cdf(low, mus, sigmas)))\n\n    if q is None:\n        dist = samples[:, None] - mus\n        mahal = (old_div(dist, np.maximum(sigmas, EPS))) ** 2\n        # mahal shape is (n_samples, n_components)\n        Z = np.sqrt(2 * np.pi * sigmas ** 2)\n        coef = weights / Z / p_accept\n        rval = logsum_rows(- 0.5 * mahal + np.log(coef))\n    else:\n        prob = np.zeros(samples.shape, dtype='float64')\n        for w, mu, sigma in zip(weights, mus, sigmas):\n            if high is None:\n                ubound = samples + old_div(q, 2.0)\n            else:\n                ubound = np.minimum(samples + old_div(q, 2.0), high)\n            if low is None:\n                lbound = samples - old_div(q, 2.0)\n            else:\n                lbound = np.maximum(samples - old_div(q, 2.0), low)\n            # -- two-stage addition is slightly more numerically accurate\n            inc_amt = w * normal_cdf(ubound, mu, sigma)\n            inc_amt -= w * normal_cdf(lbound, mu, sigma)\n            prob += inc_amt\n        rval = np.log(prob) - np.log(p_accept)\n\n    if verbose:\n        print('GMM1_lpdf:rval:', dict(list(zip(samples, rval))))\n\n    rval.shape = _samples.shape\n    return rval\n\n\n# -- Mixture of Log-Normals\n\n@scope.define\ndef lognormal_cdf(x, mu, sigma):\n    # wikipedia claims cdf is\n    # .5 + .5 erf( log(x) - mu / sqrt(2 sigma^2))\n    #\n    # the maximum is used to move negative values and 0 up to a point\n    # where they do not cause nan or inf, but also don't contribute much\n    # to the cdf.\n    if len(x) == 0:\n        return np.asarray([])\n    if x.min() < 0:\n        raise ValueError('negative arg to lognormal_cdf', x)\n    olderr = np.seterr(divide='ignore')\n    try:\n        top = np.log(np.maximum(x, EPS)) - mu\n        bottom = np.maximum(np.sqrt(2) * sigma, EPS)\n        z = old_div(top, bottom)\n        return .5 + .5 * erf(z)\n    finally:\n        np.seterr(**olderr)\n\n\n@scope.define\ndef lognormal_lpdf(x, mu, sigma):\n    # formula copied from wikipedia\n    # http://en.wikipedia.org/wiki/Log-normal_distribution\n    assert np.all(sigma >= 0)\n    sigma = np.maximum(sigma, EPS)\n    Z = sigma * x * np.sqrt(2 * np.pi)\n    E = 0.5 * (old_div((np.log(x) - mu), sigma)) ** 2\n    rval = -E - np.log(Z)\n    return rval\n\n\n@scope.define\ndef qlognormal_lpdf(x, mu, sigma, q):\n    # casting rounds up to nearest step multiple.\n    # so lpdf is log of integral from x-step to x+1 of P(x)\n\n    # XXX: subtracting two numbers potentially very close together.\n    return np.log(\n        lognormal_cdf(x, mu, sigma) -\n        lognormal_cdf(x - q, mu, sigma))\n\n\n@implicit_stochastic\n@scope.define\ndef LGMM1(weights, mus, sigmas, low=None, high=None, q=None,\n          rng=None, size=()):\n    weights, mus, sigmas = list(map(np.asarray, (weights, mus, sigmas)))\n    n_samples = np.prod(size)\n    # n_components = len(weights)\n    if low is None and high is None:\n        active = np.argmax(\n            rng.multinomial(1, weights, (n_samples,)),\n            axis=1)\n        assert len(active) == n_samples\n        samples = np.exp(\n            rng.normal(\n                loc=mus[active],\n                scale=sigmas[active]))\n    else:\n        # -- draw from truncated components\n        # TODO: one-sided-truncation\n        low = float(low)\n        high = float(high)\n        if low >= high:\n            raise ValueError('low >= high', (low, high))\n        samples = []\n        while len(samples) < n_samples:\n            active = np.argmax(rng.multinomial(1, weights))\n            draw = rng.normal(loc=mus[active], scale=sigmas[active])\n            if low <= draw < high:\n                samples.append(np.exp(draw))\n        samples = np.asarray(samples)\n\n    samples = np.reshape(np.asarray(samples), size)\n    if q is not None:\n        samples = np.round(old_div(samples, q)) * q\n    return samples\n\n\ndef logsum_rows(x):\n    R, C = x.shape\n    m = x.max(axis=1)\n    return np.log(np.exp(x - m[:, None]).sum(axis=1)) + m\n\n\n@scope.define\ndef LGMM1_lpdf(samples, weights, mus, sigmas, low=None, high=None, q=None):\n    samples, weights, mus, sigmas = list(map(np.asarray,\n                                         (samples, weights, mus, sigmas)))\n    assert weights.ndim == 1\n    assert mus.ndim == 1\n    assert sigmas.ndim == 1\n    _samples = samples\n    if samples.ndim != 1:\n        samples = samples.flatten()\n\n    if low is None and high is None:\n        p_accept = 1\n    else:\n        p_accept = np.sum(\n            weights * (\n                normal_cdf(high, mus, sigmas) -\n                normal_cdf(low, mus, sigmas)))\n\n    if q is None:\n        # compute the lpdf of each sample under each component\n        lpdfs = lognormal_lpdf(samples[:, None], mus, sigmas)\n        rval = logsum_rows(lpdfs + np.log(weights))\n    else:\n        # compute the lpdf of each sample under each component\n        prob = np.zeros(samples.shape, dtype='float64')\n        for w, mu, sigma in zip(weights, mus, sigmas):\n            if high is None:\n                ubound = samples + old_div(q, 2.0)\n            else:\n                ubound = np.minimum(samples + old_div(q, 2.0), np.exp(high))\n            if low is None:\n                lbound = samples - old_div(q, 2.0)\n            else:\n                lbound = np.maximum(samples - old_div(q, 2.0), np.exp(low))\n            lbound = np.maximum(0, lbound)\n            # -- two-stage addition is slightly more numerically accurate\n            inc_amt = w * lognormal_cdf(ubound, mu, sigma)\n            inc_amt -= w * lognormal_cdf(lbound, mu, sigma)\n            prob += inc_amt\n        rval = np.log(prob) - np.log(p_accept)\n    rval.shape = _samples.shape\n    return rval\n\n\n#\n# This is the weird heuristic ParzenWindow estimator used for continuous\n# distributions in various ways.\n#\n\n@scope.define_info(o_len=3)\ndef adaptive_parzen_normal_orig(mus, prior_weight, prior_mu, prior_sigma):\n    \"\"\"\n    A heuristic estimator for the mu and sigma values of a GMM\n    TODO: try to find this heuristic in the literature, and cite it - Yoshua\n    mentioned the term 'elastic' I think?\n\n    mus - matrix (N, M) of M, N-dimensional component centers\n    \"\"\"\n    mus_orig = np.array(mus)\n    mus = np.array(mus)\n    assert str(mus.dtype) != 'object'\n\n    if mus.ndim != 1:\n        raise TypeError('mus must be vector', mus)\n    if len(mus) == 0:\n        mus = np.asarray([prior_mu])\n        sigma = np.asarray([prior_sigma])\n    elif len(mus) == 1:\n        mus = np.asarray([prior_mu] + [mus[0]])\n        sigma = np.asarray([prior_sigma, prior_sigma * .5])\n    elif len(mus) >= 2:\n        order = np.argsort(mus)\n        mus = mus[order]\n        sigma = np.zeros_like(mus)\n        sigma[1:-1] = np.maximum(\n            mus[1:-1] - mus[0:-2],\n            mus[2:] - mus[1:-1])\n        if len(mus) > 2:\n            lsigma = mus[2] - mus[0]\n            usigma = mus[-1] - mus[-3]\n        else:\n            lsigma = mus[1] - mus[0]\n            usigma = mus[-1] - mus[-2]\n\n        sigma[0] = lsigma\n        sigma[-1] = usigma\n\n        # XXX: is sorting them necessary anymore?\n        # un-sort the mus and sigma\n        mus[order] = mus.copy()\n        sigma[order] = sigma.copy()\n\n        if not np.all(mus_orig == mus):\n            print('orig', mus_orig)\n            print('mus', mus)\n        assert np.all(mus_orig == mus)\n\n        # put the prior back in\n        mus = np.asarray([prior_mu] + list(mus))\n        sigma = np.asarray([prior_sigma] + list(sigma))\n\n    maxsigma = prior_sigma\n    # -- magic formula:\n    minsigma = old_div(prior_sigma, np.sqrt(1 + len(mus)))\n\n    sigma = np.clip(sigma, minsigma, maxsigma)\n\n    weights = np.ones(len(mus), dtype=mus.dtype)\n    weights[0] = prior_weight\n\n    weights = old_div(weights, weights.sum())\n    if 0:\n        print('WEIGHTS', weights)\n        print('MUS', mus)\n        print('SIGMA', sigma)\n\n    return weights, mus, sigma\n\n\n@scope.define\ndef linear_forgetting_weights(N, LF):\n    assert N >= 0\n    assert LF > 0\n    if N == 0:\n        return np.asarray([])\n    elif N < LF:\n        return np.ones(N)\n    else:\n        ramp = np.linspace(old_div(1.0, N), 1.0, num=N - LF)\n        flat = np.ones(LF)\n        weights = np.concatenate([ramp, flat], axis=0)\n        assert weights.shape == (N,), (weights.shape, N)\n        return weights\n\n# XXX: make TPE do a post-inference pass over the pyll graph and insert\n# non-default LF argument\n\n\n@scope.define_info(o_len=3)\ndef adaptive_parzen_normal(mus, prior_weight, prior_mu, prior_sigma,\n                           LF=DEFAULT_LF):\n    \"\"\"\n    mus - matrix (N, M) of M, N-dimensional component centers\n    \"\"\"\n    mus = np.array(mus)\n    assert str(mus.dtype) != 'object'\n\n    if mus.ndim != 1:\n        raise TypeError('mus must be vector', mus)\n    if len(mus) == 0:\n        srtd_mus = np.asarray([prior_mu])\n        sigma = np.asarray([prior_sigma])\n        prior_pos = 0\n    elif len(mus) == 1:\n        if prior_mu < mus[0]:\n            prior_pos = 0\n            srtd_mus = np.asarray([prior_mu, mus[0]])\n            sigma = np.asarray([prior_sigma, prior_sigma * .5])\n        else:\n            prior_pos = 1\n            srtd_mus = np.asarray([mus[0], prior_mu])\n            sigma = np.asarray([prior_sigma * .5, prior_sigma])\n    elif len(mus) >= 2:\n\n        # create new_mus, which is sorted, and in which\n        # the prior has been inserted\n        order = np.argsort(mus)\n        prior_pos = np.searchsorted(mus[order], prior_mu)\n        srtd_mus = np.zeros(len(mus) + 1)\n        srtd_mus[:prior_pos] = mus[order[:prior_pos]]\n        srtd_mus[prior_pos] = prior_mu\n        srtd_mus[prior_pos + 1:] = mus[order[prior_pos:]]\n        sigma = np.zeros_like(srtd_mus)\n        sigma[1:-1] = np.maximum(\n            srtd_mus[1:-1] - srtd_mus[0:-2],\n            srtd_mus[2:] - srtd_mus[1:-1])\n        lsigma = srtd_mus[1] - srtd_mus[0]\n        usigma = srtd_mus[-1] - srtd_mus[-2]\n        sigma[0] = lsigma\n        sigma[-1] = usigma\n\n    if LF and LF < len(mus):\n        unsrtd_weights = linear_forgetting_weights(len(mus), LF)\n        srtd_weights = np.zeros_like(srtd_mus)\n        assert len(unsrtd_weights) + 1 == len(srtd_mus)\n        srtd_weights[:prior_pos] = unsrtd_weights[order[:prior_pos]]\n        srtd_weights[prior_pos] = prior_weight\n        srtd_weights[prior_pos + 1:] = unsrtd_weights[order[prior_pos:]]\n\n    else:\n        srtd_weights = np.ones(len(srtd_mus))\n        srtd_weights[prior_pos] = prior_weight\n\n    # -- magic formula:\n    maxsigma = old_div(prior_sigma, 1.0)\n    minsigma = old_div(prior_sigma, min(100.0, (1.0 + len(srtd_mus))))\n\n    sigma = np.clip(sigma, minsigma, maxsigma)\n\n    sigma[prior_pos] = prior_sigma\n    assert prior_sigma > 0\n    assert maxsigma > 0\n    assert minsigma > 0\n    assert np.all(sigma > 0), (sigma.min(), minsigma, maxsigma)\n\n    srtd_weights /= srtd_weights.sum()\n    if 0:\n        print('WEIGHTS', srtd_weights)\n        print('MUS', srtd_mus)\n        print('SIGMA', sigma)\n\n    return srtd_weights, srtd_mus, sigma\n\n#\n# Adaptive Parzen Samplers\n# These produce conditional estimators for various prior distributions\n#\n# NOTE: These are actually used in a fairly complicated way.\n# They are actually returning pyll.Apply AST (Abstract Syntax Tree) objects.\n# This AST is then manipulated and the corresponding _lpdf function is called\n# (e.g  GMM1_lpdf)\n#\n# Please see the build_posterior function for details\n\n# -- Uniform\n\n\n@adaptive_parzen_sampler('uniform')\ndef ap_uniform_sampler(obs, prior_weight, low, high, size=(), rng=None):\n    prior_mu = 0.5 * (high + low)\n    prior_sigma = 1.0 * (high - low)\n    weights, mus, sigmas = scope.adaptive_parzen_normal(obs,\n                                                        prior_weight, prior_mu, prior_sigma)\n    return scope.GMM1(weights, mus, sigmas, low=low, high=high, q=None,\n                      size=size, rng=rng)\n\n\n@adaptive_parzen_sampler('quniform')\ndef ap_quniform_sampler(obs, prior_weight, low, high, q, size=(), rng=None):\n    prior_mu = 0.5 * (high + low)\n    prior_sigma = 1.0 * (high - low)\n    weights, mus, sigmas = scope.adaptive_parzen_normal(obs,\n                                                        prior_weight, prior_mu, prior_sigma)\n    return scope.GMM1(weights, mus, sigmas, low=low, high=high, q=q,\n                      size=size, rng=rng)\n\n\n@adaptive_parzen_sampler('loguniform')\ndef ap_loguniform_sampler(obs, prior_weight, low, high,\n                          size=(), rng=None):\n    prior_mu = 0.5 * (high + low)\n    prior_sigma = 1.0 * (high - low)\n    weights, mus, sigmas = scope.adaptive_parzen_normal(\n        scope.log(obs), prior_weight, prior_mu, prior_sigma)\n    rval = scope.LGMM1(weights, mus, sigmas, low=low, high=high,\n                       size=size, rng=rng)\n    return rval\n\n\n@adaptive_parzen_sampler('qloguniform')\ndef ap_qloguniform_sampler(obs, prior_weight, low, high, q,\n                           size=(), rng=None):\n    prior_mu = 0.5 * (high + low)\n    prior_sigma = 1.0 * (high - low)\n    weights, mus, sigmas = scope.adaptive_parzen_normal(\n        scope.log(\n            # -- map observations that were quantized to be below exp(low)\n            #    (particularly 0) back up to exp(low) where they will\n            #    interact in a reasonable way with the AdaptiveParzen\n            #    thing.\n            scope.maximum(\n                obs,\n                scope.maximum(  # -- protect against exp(low) underflow\n                    EPS,\n                    scope.exp(low)))),\n        prior_weight, prior_mu, prior_sigma)\n    return scope.LGMM1(weights, mus, sigmas, low, high, q=q,\n                       size=size, rng=rng)\n\n\n# -- Normal\n\n@adaptive_parzen_sampler('normal')\ndef ap_normal_sampler(obs, prior_weight, mu, sigma, size=(), rng=None):\n    weights, mus, sigmas = scope.adaptive_parzen_normal(\n        obs, prior_weight, mu, sigma)\n    return scope.GMM1(weights, mus, sigmas, size=size, rng=rng)\n\n\n@adaptive_parzen_sampler('qnormal')\ndef ap_qnormal_sampler(obs, prior_weight, mu, sigma, q, size=(), rng=None):\n    weights, mus, sigmas = scope.adaptive_parzen_normal(\n        obs, prior_weight, mu, sigma)\n    return scope.GMM1(weights, mus, sigmas, q=q, size=size, rng=rng)\n\n\n@adaptive_parzen_sampler('lognormal')\ndef ap_loglognormal_sampler(obs, prior_weight, mu, sigma, size=(), rng=None):\n    weights, mus, sigmas = scope.adaptive_parzen_normal(\n        scope.log(obs), prior_weight, mu, sigma)\n    rval = scope.LGMM1(weights, mus, sigmas, size=size, rng=rng)\n    return rval\n\n\n@adaptive_parzen_sampler('qlognormal')\ndef ap_qlognormal_sampler(obs, prior_weight, mu, sigma, q, size=(), rng=None):\n    log_obs = scope.log(scope.maximum(obs, EPS))\n    weights, mus, sigmas = scope.adaptive_parzen_normal(\n        log_obs, prior_weight, mu, sigma)\n    rval = scope.LGMM1(weights, mus, sigmas, q=q, size=size, rng=rng)\n    return rval\n\n\n# -- Categorical\n\n@adaptive_parzen_sampler('randint')\ndef ap_categorical_sampler(obs, prior_weight, upper,\n                           size=(), rng=None, LF=DEFAULT_LF):\n    weights = scope.linear_forgetting_weights(scope.len(obs), LF=LF)\n    counts = scope.bincount(obs, minlength=upper, weights=weights)\n    # -- add in some prior pseudocounts\n    pseudocounts = counts + prior_weight\n    return scope.categorical(old_div(pseudocounts, scope.sum(pseudocounts)),\n                             upper=upper, size=size, rng=rng)\n\n\n# @adaptive_parzen_sampler('categorical')\n# def ap_categorical_sampler(obs, prior_weight, p, upper, size=(), rng=None,\n#                            LF=DEFAULT_LF):\n#     return scope.categorical(p, upper, size=size, rng\n#                              =rng)\n\n@scope.define\ndef tpe_cat_pseudocounts(counts, upper, prior_weight, p, size):\n    if size == 0 or np.prod(size) == 0:\n        return []\n    if p.ndim == 2:\n        assert np.all(p == p[0])\n        p = p[0]\n    pseudocounts = counts + upper * (prior_weight * p)\n    return old_div(pseudocounts, np.sum(pseudocounts))\n\n\n# TODO: this seems to be a redefinition of the function\n# starting in line 573.\n@adaptive_parzen_sampler('categorical')\ndef ap_categorical_sampler(obs, prior_weight, p, upper=None,\n                           size=(), rng=None, LF=DEFAULT_LF):\n    weights = scope.linear_forgetting_weights(scope.len(obs), LF=LF)\n    counts = scope.bincount(obs, minlength=upper, weights=weights)\n    pseudocounts = scope.tpe_cat_pseudocounts(counts, upper, prior_weight, p, size)\n    return scope.categorical(pseudocounts, upper=upper, size=size, rng=rng)\n\n#\n# Posterior clone performs symbolic inference on the pyll graph of priors.\n#\n\n\n@scope.define_info(o_len=2)\ndef ap_filter_trials(o_idxs, o_vals, l_idxs, l_vals, gamma,\n                     gamma_cap=DEFAULT_LF):\n    \"\"\"Return the elements of o_vals that correspond to trials whose losses\n    were above gamma, or below gamma.\n    \"\"\"\n    o_idxs, o_vals, l_idxs, l_vals = list(map(np.asarray,\n                                          [o_idxs, o_vals, l_idxs, l_vals]))\n\n    # XXX if this is working, refactor this sort for efficiency\n\n    # Splitting is done this way to cope with duplicate loss values.\n    n_below = min(int(np.ceil(gamma * np.sqrt(len(l_vals)))), gamma_cap)\n    l_order = np.argsort(l_vals)\n\n    keep_idxs = set(l_idxs[l_order[:n_below]])\n    below = [v for i, v in zip(o_idxs, o_vals) if i in keep_idxs]\n\n    if 0:\n        print('DEBUG: thresh', l_vals[l_order[:n_below]])\n\n    keep_idxs = set(l_idxs[l_order[n_below:]])\n    above = [v for i, v in zip(o_idxs, o_vals) if i in keep_idxs]\n\n    return np.asarray(below), np.asarray(above)\n\n\ndef build_posterior(specs, prior_idxs, prior_vals, obs_idxs, obs_vals,\n                    oloss_idxs, oloss_vals, oloss_gamma, prior_weight):\n    \"\"\"\n    This method clones a posterior inference graph by iterating forward in\n    topological order, and replacing prior random-variables (prior_vals) with\n    new posterior distributions that make use of observations (obs_vals).\n\n    \"\"\"\n    assert all(isinstance(arg, pyll.Apply)\n               for arg in [oloss_idxs, oloss_vals, oloss_gamma])\n\n    expr = pyll.as_apply([specs, prior_idxs, prior_vals])\n    nodes = pyll.dfs(expr)\n\n    # build the joint posterior distribution as the values in this memo\n    memo = {}\n    # map prior RVs to observations\n    obs_memo = {}\n\n    for nid in prior_vals:\n        # construct the leading args for each call to adaptive_parzen_sampler\n        # which will permit the \"adaptive parzen samplers\" to adapt to the\n        # correct samples.\n        obs_below, obs_above = scope.ap_filter_trials(\n            obs_idxs[nid], obs_vals[nid],\n            oloss_idxs, oloss_vals, oloss_gamma)\n        obs_memo[prior_vals[nid]] = [obs_below, obs_above]\n    for node in nodes:\n        if node not in memo:\n            new_inputs = [memo[arg] for arg in node.inputs()]\n            if node in obs_memo:\n                # -- this case corresponds to an observed Random Var\n                # node.name is a distribution like \"normal\", \"randint\", etc.\n                obs_below, obs_above = obs_memo[node]\n                aa = [memo[a] for a in node.pos_args]\n                fn = adaptive_parzen_samplers[node.name]\n                b_args = [obs_below, prior_weight] + aa\n                named_args = [[kw, memo[arg]]\n                              for (kw, arg) in node.named_args]\n                b_post = fn(*b_args, **dict(named_args))\n                a_args = [obs_above, prior_weight] + aa\n                a_post = fn(*a_args, **dict(named_args))\n\n                # fn is a function e.g ap_uniform_sampler, ap_normal_sampler, etc\n                # b_post and a_post are pyll.Apply objects that are\n                # AST (Abstract Syntax Trees).  They create the distribution,\n                # (e.g. using adaptive_parzen_normal), and then\n                # call a function to sample randomly from that distibution\n                # (e.g. using scope.GMM1) which return\n                # those samples.\n                #\n                # However we are only interested in using the samples from b_post.\n                # This codes looks at the AST and grabs the function name that we used\n                # for sampling (e.g. scope.GMM1)   and modifies it, e.g. to \"scope.GMM1_lpdf\".\n                # It then calls this function, passing in the samples as the first parameter.a_args\n                #\n                # The result is that we are effectively calling, for example:\n                # below_llik = GMM1_lpdf( b_post, *adaptive_parzen_normal(obs_below, ...))\n                # above_llik = GMM1_lpdf( b_post, *adaptive_parzen_normal(obs_above, ...))\n\n                assert a_post.name == b_post.name\n                fn_lpdf = getattr(scope, a_post.name + '_lpdf')\n                a_kwargs = dict([(n, a) for n, a in a_post.named_args\n                                 if n not in ('rng', 'size')])\n                b_kwargs = dict([(n, a) for n, a in b_post.named_args\n                                 if n not in ('rng', 'size')])\n\n                # calculate the log likelihood of b_post under both distributions\n                below_llik = fn_lpdf(*([b_post] + b_post.pos_args), **b_kwargs)\n                above_llik = fn_lpdf(*([b_post] + a_post.pos_args), **a_kwargs)\n\n                # improvement = below_llik - above_llik\n                # new_node = scope.broadcast_best(b_post, improvement)\n                new_node = scope.broadcast_best(b_post, below_llik, above_llik)\n            elif hasattr(node, 'obj'):\n                # -- keep same literals in the graph\n                new_node = node\n            else:\n                # -- this case is for all the other stuff in the graph\n                new_node = node.clone_from_inputs(new_inputs)\n            memo[node] = new_node\n    post_specs = memo[specs]\n    post_idxs = dict([(nid, memo[idxs])\n                      for nid, idxs in list(prior_idxs.items())])\n    post_vals = dict([(nid, memo[vals])\n                      for nid, vals in list(prior_vals.items())])\n    assert set(post_idxs.keys()) == set(post_vals.keys())\n    assert set(post_idxs.keys()) == set(prior_idxs.keys())\n    return post_specs, post_idxs, post_vals\n\n\n@scope.define\ndef idxs_prod(full_idxs, idxs_by_label, llik_by_label):\n    \"\"\"Add all of the  log-likelihoods together by id.\n\n    Example arguments:\n    full_idxs = [0, 1, ... N-1]\n    idxs_by_label = {'node_a': [1, 3], 'node_b': [3]}\n    llik_by_label = {'node_a': [0.1, -3.3], node_b: [1.0]}\n\n    This would return N elements: [0, 0.1, 0, -2.3, 0, 0, ... ]\n    \"\"\"\n    assert len(set(full_idxs)) == len(full_idxs)\n    full_idxs = list(full_idxs)\n    rval = np.zeros(len(full_idxs))\n    pos_of_tid = dict(list(zip(full_idxs, list(range(len(full_idxs))))))\n    assert set(idxs_by_label.keys()) == set(llik_by_label.keys())\n    for nid in idxs_by_label:\n        idxs = idxs_by_label[nid]\n        llik = llik_by_label[nid]\n        assert np.all(np.asarray(idxs) > 1)\n        assert len(set(idxs)) == len(idxs)\n        assert len(idxs) == len(llik)\n        for ii, ll in zip(idxs, llik):\n            rval[pos_of_tid[ii]] += ll\n    return rval\n\n\n@scope.define\ndef broadcast_best(samples, below_llik, above_llik):\n    if len(samples):\n        score = below_llik - above_llik\n        if len(samples) != len(score):\n            raise ValueError()\n        best = np.argmax(score)\n        return [samples[best]] * len(samples)\n    else:\n        return []\n\n\n_default_prior_weight = 1.0\n\n# -- suggest best of this many draws on every iteration\n_default_n_EI_candidates = 24\n\n# -- gamma * sqrt(n_trials) is fraction of to use as good\n_default_gamma = 0.25\n\n_default_n_startup_jobs = 20\n\n_default_linear_forgetting = DEFAULT_LF\n\n\ndef tpe_transform(domain, prior_weight, gamma):\n    s_prior_weight = pyll.Literal(float(prior_weight))\n\n    # -- these dummy values will be replaced in suggest1() and never used\n    observed = dict(\n        idxs=pyll.Literal(),\n        vals=pyll.Literal())\n    observed_loss = dict(\n        idxs=pyll.Literal(),\n        vals=pyll.Literal())\n\n    specs, idxs, vals = build_posterior(\n        # -- vectorized clone of bandit template\n        domain.vh.v_expr,\n        # -- this dict and next represent prior dists\n        domain.vh.idxs_by_label(),\n        domain.vh.vals_by_label(),\n        observed['idxs'],\n        observed['vals'],\n        observed_loss['idxs'],\n        observed_loss['vals'],\n        pyll.Literal(gamma),\n        s_prior_weight\n    )\n\n    return (s_prior_weight, observed, observed_loss,\n            specs, idxs, vals)\n\n\ndef suggest(new_ids, domain, trials, seed,\n            prior_weight=_default_prior_weight,\n            n_startup_jobs=_default_n_startup_jobs,\n            n_EI_candidates=_default_n_EI_candidates,\n            gamma=_default_gamma,\n            linear_forgetting=_default_linear_forgetting,\n            ):\n\n    new_id = new_ids[0]\n\n    t0 = time.time()\n    (s_prior_weight, observed, observed_loss, specs, opt_idxs, opt_vals) \\\n        = tpe_transform(domain, prior_weight, gamma)\n    tt = time.time() - t0\n    logger.info('tpe_transform took %f seconds' % tt)\n\n    best_docs = dict()\n    best_docs_loss = dict()\n    for doc in trials.trials:\n        # get either this docs own tid or the one that it's from\n        tid = doc['misc'].get('from_tid', doc['tid'])\n        loss = domain.loss(doc['result'], doc['spec'])\n        if loss is None:\n            # -- associate infinite loss to new/running/failed jobs\n            loss = float('inf')\n        else:\n            loss = float(loss)\n        best_docs_loss.setdefault(tid, loss)\n        if loss <= best_docs_loss[tid]:\n            best_docs_loss[tid] = loss\n            best_docs[tid] = doc\n\n    tid_docs = list(best_docs.items())\n    # -- sort docs by order of suggestion\n    #    so that linear_forgetting removes the oldest ones\n    tid_docs.sort()\n    losses = [best_docs_loss[k] for k, v in tid_docs]\n    tids = [k for k, v in tid_docs]\n    docs = [v for k, v in tid_docs]\n\n    if docs:\n        logger.info('TPE using %i/%i trials with best loss %f' % (\n            len(docs), len(trials), min(best_docs_loss.values())))\n    else:\n        logger.info('TPE using 0 trials')\n\n    if len(docs) < n_startup_jobs:\n        # N.B. THIS SEEDS THE RNG BASED ON THE new_id\n        return rand.suggest(new_ids, domain, trials, seed)\n\n    #    Sample and compute log-probability.\n    if tids:\n        # -- the +2 co-ordinates with an assertion above\n        #    to ensure that fake ids are used during sampling\n        fake_id_0 = max(max(tids), new_id) + 2\n    else:\n        # -- weird - we're running the TPE algo from scratch\n        assert n_startup_jobs <= 0\n        fake_id_0 = new_id + 2\n\n    fake_ids = list(range(fake_id_0, fake_id_0 + n_EI_candidates))\n\n    # -- this dictionary will map pyll nodes to the values\n    #    they should take during the evaluation of the pyll program\n    memo = {\n        domain.s_new_ids: fake_ids,\n        domain.s_rng: np.random.RandomState(seed),\n    }\n\n    o_idxs_d, o_vals_d = miscs_to_idxs_vals(\n        [d['misc'] for d in docs], keys=list(domain.params.keys()))\n    memo[observed['idxs']] = o_idxs_d\n    memo[observed['vals']] = o_vals_d\n\n    memo[observed_loss['idxs']] = tids\n    memo[observed_loss['vals']] = losses\n\n    idxs, vals = pyll.rec_eval([opt_idxs, opt_vals], memo=memo,\n                               print_node_on_error=False)\n\n    # -- retrieve the best of the samples and form the return tuple\n    # the build_posterior makes all specs the same\n\n    rval_specs = [None]  # -- specs are deprecated\n    rval_results = [domain.new_result()]\n    rval_miscs = [dict(tid=new_id, cmd=domain.cmd, workdir=domain.workdir)]\n\n    miscs_update_idxs_vals(rval_miscs, idxs, vals,\n                           idxs_map={fake_ids[0]: new_id},\n                           assert_all_vals_used=False)\n    rval_docs = trials.new_trial_docs([new_id],\n                                      rval_specs, rval_results, rval_miscs)\n\n    return rval_docs\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/utils.py",
    "content": "from __future__ import absolute_import\nfrom __future__ import division\nfrom future import standard_library\nfrom builtins import str\nfrom builtins import range\nfrom past.builtins import basestring\nfrom past.utils import old_div\nimport datetime\nimport numpy as np\nimport logging\nimport os\nimport shutil\nimport numpy\nfrom . import pyll\nfrom contextlib import contextmanager\n\nstandard_library.install_aliases()\nlogger = logging.getLogger(__name__)\n\ntry:\n    import dill as pickler\nexcept Exception as e:\n    logger.info('Failed to load dill, try installing dill via \"pip install dill\" for enhanced pickling support.')\n    import six.moves.cPickle as pickler\n\n\ndef import_tokens(tokens):\n    # XXX Document me\n    # import as many as we can\n    rval = None\n    for i in range(len(tokens)):\n        modname = '.'.join(tokens[:i + 1])\n        # XXX: try using getattr, and then merge with load_tokens\n        try:\n            logger.info('importing %s' % modname)\n            exec(\"import {}\".format(modname))\n            exec(\"rval = {}\".format(modname))\n        except ImportError as e:\n            logger.info('failed to import %s' % modname)\n            logger.info('reason: %s' % str(e))\n            break\n    return rval, tokens[i:]\n\n\ndef load_tokens(tokens):\n    # XXX: merge with import_tokens\n    logger.info('load_tokens: %s' % str(tokens))\n    symbol, remainder = import_tokens(tokens)\n    for attr in remainder:\n        symbol = getattr(symbol, attr)\n    return symbol\n\n\ndef json_lookup(json):\n    symbol = load_tokens(json.split('.'))\n    return symbol\n\n\ndef json_call(json, args=(), kwargs=None):\n    \"\"\"\n    Return a dataset class instance based on a string, tuple or dictionary\n\n    .. code-block:: python\n\n        iris = json_call('datasets.toy.Iris')\n\n    This function works by parsing the string, and calling import and getattr a\n    lot. (XXX)\n\n    \"\"\"\n    if kwargs is None:\n        kwargs = {}\n    if isinstance(json, basestring):\n        symbol = json_lookup(json)\n        return symbol(*args, **kwargs)\n    elif isinstance(json, dict):\n        raise NotImplementedError('dict calling convention undefined', json)\n    elif isinstance(json, (tuple, list)):\n        raise NotImplementedError('seq calling convention undefined', json)\n    else:\n        raise TypeError(json)\n\n\ndef get_obj(f, argfile=None, argstr=None, args=(), kwargs=None):\n    \"\"\"\n    XXX: document me\n    \"\"\"\n    if kwargs is None:\n        kwargs = {}\n    if argfile is not None:\n        argstr = open(argfile).read()\n    if argstr is not None:\n        argd = pickler.loads(argstr)\n    else:\n        argd = {}\n    args = args + argd.get('args', ())\n    kwargs.update(argd.get('kwargs', {}))\n    return json_call(f, args=args, kwargs=kwargs)\n\n\ndef pmin_sampled(mean, var, n_samples=1000, rng=None):\n    \"\"\"Probability that each Gaussian-dist R.V. is less than the others\n\n    :param vscores: mean vector\n    :param var: variance vector\n\n    This function works by sampling n_samples from every (gaussian) mean distribution,\n    and counting up the number of times each element's sample is the best.\n\n    \"\"\"\n    if rng is None:\n        rng = numpy.random.RandomState(232342)\n\n    samples = rng.randn(n_samples, len(mean)) * numpy.sqrt(var) + mean\n    winners = (samples.T == samples.min(axis=1)).T\n    wincounts = winners.sum(axis=0)\n    assert wincounts.shape == mean.shape\n    return old_div(wincounts.astype('float64'), wincounts.sum())\n\n\ndef fast_isin(X, Y):\n    \"\"\"\n    Indices of elements in a numpy array that appear in another.\n\n    Fast routine for determining indices of elements in numpy array `X` that\n    appear in numpy array `Y`, returning a boolean array `Z` such that::\n\n            Z[i] = X[i] in Y\n\n    \"\"\"\n    if len(Y) > 0:\n        T = Y.copy()\n        T.sort()\n        D = T.searchsorted(X)\n        T = np.append(T, np.array([0]))\n        W = (T[D] == X)\n        if isinstance(W, bool):\n            return np.zeros((len(X),), bool)\n        else:\n            return (T[D] == X)\n    else:\n        return np.zeros((len(X),), bool)\n\n\ndef get_most_recent_inds(obj):\n    data = numpy.rec.array([(x['_id'], int(x['version']))\n                            for x in obj],\n                           names=['_id', 'version'])\n    s = data.argsort(order=['_id', 'version'])\n    data = data[s]\n    recent = (data['_id'][1:] != data['_id'][:-1]).nonzero()[0]\n    recent = numpy.append(recent, [len(data) - 1])\n    return s[recent]\n\n\ndef use_obj_for_literal_in_memo(expr, obj, lit, memo):\n    \"\"\"\n    Set `memo[node] = obj` for all nodes in expr such that `node.obj == lit`\n\n    This is a useful routine for fmin-compatible functions that are searching\n    domains that include some leaf nodes that are complicated\n    runtime-generated objects. One option is to make such leaf nodes pyll\n    functions, but it can be easier to construct those objects the normal\n    Python way in the fmin function, and just stick them into the evaluation\n    memo.  The experiment ctrl object itself is inserted using this technique.\n    \"\"\"\n    for node in pyll.dfs(expr):\n        try:\n            if node.obj == lit:\n                memo[node] = obj\n        except AttributeError:\n            # -- non-literal nodes don't have node.obj\n            pass\n    return memo\n\n\ndef coarse_utcnow():\n    \"\"\"\n    # MongoDB stores only to the nearest millisecond\n    # This is mentioned in a footnote here:\n    # http://api.mongodb.org/python/current/api/bson/son.html#dt\n    \"\"\"\n    now = datetime.datetime.utcnow()\n    microsec = (now.microsecond // 10 ** 3) * (10 ** 3)\n    return datetime.datetime(now.year, now.month, now.day, now.hour,\n                             now.minute, now.second, microsec)\n\n\n@contextmanager\ndef working_dir(dir):\n    cwd = os.getcwd()\n    os.chdir(dir)\n    yield\n    os.chdir(cwd)\n\n\ndef path_split_all(path):\n    \"\"\"split a path at all path separaters, return list of parts\"\"\"\n    parts = []\n    while True:\n        path, fn = os.path.split(path)\n        if len(fn) == 0:\n            break\n        parts.append(fn)\n    return reversed(parts)\n\n\ndef get_closest_dir(workdir):\n    \"\"\"\n    returns the topmost already-existing directory in the given path\n    erasing work-dirs should never progress above this file.\n    Also returns the name of first non-existing dir for use as filename.\n    \"\"\"\n    closest_dir = ''\n    for wdi in path_split_all(workdir):\n        if os.path.isdir(os.path.join(closest_dir, wdi)):\n            closest_dir = os.path.join(closest_dir, wdi)\n        else:\n            break\n    assert closest_dir != workdir\n    return closest_dir, wdi\n\n\n@contextmanager\ndef temp_dir(dir, erase_after=False, with_sentinel=True):\n    created_by_me = False\n    if not os.path.exists(dir):\n        if os.pardir in dir:\n            raise RuntimeError(\"workdir contains os.pardir ('..')\")\n        if erase_after and with_sentinel:\n            closest_dir, fn = get_closest_dir(dir)\n            sentinel = os.path.join(closest_dir, fn + \".inuse\")\n            open(sentinel, 'w').close()\n        os.makedirs(dir)\n        created_by_me = True\n    else:\n        assert os.path.isdir(dir)\n    yield\n    if erase_after and created_by_me:\n        # erase all files in workdir\n        shutil.rmtree(dir)\n        if with_sentinel:\n            # put dir back as starting point for recursive remove\n            os.mkdir(dir)\n\n            # also try to erase any other empty directories up to\n            # sentinel file\n            os.removedirs(dir)\n\n            # remove sentinel file\n            os.remove(sentinel)\n"
  },
  {
    "path": "src/aup/Proposer/hyperopt/vectorize.py",
    "content": "from __future__ import print_function\nfrom __future__ import absolute_import\nfrom builtins import str\nfrom builtins import zip\nfrom builtins import range\nfrom builtins import object\nimport sys\n\nimport numpy as np\n\nfrom .pyll import Apply\nfrom .pyll import as_apply\nfrom .pyll import dfs\nfrom .pyll import toposort\nfrom .pyll import scope\nfrom .pyll import stochastic\n\nstoch = stochastic.implicit_stochastic_symbols\n\n\ndef ERR(msg):\n    print('hyperopt.vectorize.ERR', msg, file=sys.stderr)\n\n\n@scope.define_pure\ndef vchoice_split(idxs, choices, n_options):\n    rval = [[] for ii in range(n_options)]\n    if len(idxs) != len(choices):\n        raise ValueError('idxs and choices different len',\n                         (len(idxs), len(choices)))\n    for ii, cc in zip(idxs, choices):\n        rval[cc].append(ii)\n    return rval\n\n\n@scope.define_pure\ndef vchoice_merge(idxs, choices, *vals):\n    rval = []\n    assert len(idxs) == len(choices)\n    for idx, ch in zip(idxs, choices):\n        vi, vv = vals[ch]\n        rval.append(vv[list(vi).index(idx)])\n    return rval\n\n\n@scope.define_pure\ndef idxs_map(idxs, cmd, *args, **kwargs):\n    \"\"\"\n    Return the cmd applied at positions idxs, by retrieving args and kwargs\n    from the (idxs, vals) pair elements of `args` and `kwargs`.\n\n    N.B. args and kwargs may generally include information for more idx values\n    than are requested by idxs.\n    \"\"\"\n    # XXX: consider insisting on sorted idxs\n    # XXX: use np.searchsorted instead of dct\n\n    if 0:  # these should all be true, but evaluating them is slow\n        for ii, (idxs_ii, vals_ii) in enumerate(args):\n            for jj in idxs:\n                assert jj in idxs_ii\n        for kw, (idxs_kw, vals_kw) in list(kwargs.items()):\n            for jj in idxs:\n                assert jj in idxs_kw\n\n    args_imap = []\n    for idxs_j, vals_j in args:\n        if len(idxs_j):\n            args_imap.append(dict(list(zip(idxs_j, vals_j))))\n        else:\n            args_imap.append({})\n\n    kwargs_imap = {}\n    for kw, (idxs_j, vals_j) in list(kwargs.items()):\n        if len(idxs_j):\n            kwargs_imap[kw] = dict(list(zip(idxs_j, vals_j)))\n        else:\n            kwargs_imap[kw] = {}\n\n    f = scope._impls[cmd]\n    rval = []\n    for ii in idxs:\n        try:\n            args_nn = [arg_imap[ii] for arg_imap in args_imap]\n        except:\n            ERR('args_nn %s' % cmd)\n            ERR('ii %s' % ii)\n            ERR('arg_imap %s' % str(args_imap))\n            ERR('args_imap %s' % str(args_imap))\n            raise\n        try:\n            kwargs_nn = dict([(kw, arg_imap[ii])\n                              for kw, arg_imap in list(kwargs_imap.items())])\n        except:\n            ERR('args_nn %s' % cmd)\n            ERR('ii %s' % ii)\n            ERR('kw %s' % kw)\n            ERR('arg_imap %s' % str(args_imap))\n            raise\n        try:\n            rval_nn = f(*args_nn, **kwargs_nn)\n        except:\n            ERR('error calling impl of %s' % cmd)\n            raise\n        rval.append(rval_nn)\n    return rval\n\n\n@scope.define_pure\ndef idxs_take(idxs, vals, which):\n    \"\"\"\n    Return `vals[which]` where `which` is a subset of `idxs`\n    \"\"\"\n    # TODO: consider insisting on sorted idxs\n    # TODO: use np.searchsorted instead of dct\n    assert len(idxs) == len(vals)\n    table = dict(list(zip(idxs, vals)))\n    return np.asarray([table[w] for w in which])\n\n\n@scope.define_pure\ndef uniq(lst):\n    s = set()\n    rval = []\n    for l in lst:\n        if id(l) not in s:\n            s.add(id(l))\n            rval.append(l)\n    return rval\n\n\ndef vectorize_stochastic(orig):\n    if orig.name == 'idxs_map' and orig.pos_args[1]._obj in stoch:\n        # -- this is an idxs_map of a random draw of distribution `dist`\n        idxs = orig.pos_args[0]\n        dist = orig.pos_args[1]._obj\n\n        def foo(arg):\n            # -- each argument is an idxs, vals pair\n            assert arg.name == 'pos_args'\n            assert len(arg.pos_args) == 2\n            arg_vals = arg.pos_args[1]\n\n            # XXX: write a pattern-substitution rule for this case\n            if arg_vals.name == 'idxs_take':\n                if arg_vals.arg['vals'].name == 'asarray':\n                    if arg_vals.arg['vals'].inputs()[0].name == 'repeat':\n                        # -- draws are iid, so forget about\n                        #    repeating the distribution parameters\n                        repeated_thing = arg_vals.arg['vals'].inputs()[0].inputs()[1]\n                        return repeated_thing\n            if arg.pos_args[0] is idxs:\n                return arg_vals\n            else:\n                # -- arg.pos_args[0] is a superset of idxs\n                #    TODO: slice out correct elements using\n                #    idxs_take, but more importantly - test this case.\n                raise NotImplementedError()\n        new_pos_args = [foo(arg) for arg in orig.pos_args[2:]]\n        new_named_args = [[aname, foo(arg)]\n                          for aname, arg in orig.named_args]\n        vnode = Apply(dist, new_pos_args, new_named_args, o_len=None)\n        n_times = scope.len(idxs)\n        if 'size' in dict(vnode.named_args):\n            raise NotImplementedError('random node already has size')\n        vnode.named_args.append(['size', n_times])\n        return vnode\n    else:\n        return orig\n\n\ndef replace_repeat_stochastic(expr, return_memo=False):\n    nodes = dfs(expr)\n    memo = {}\n    for ii, orig in enumerate(nodes):\n        if orig.name == 'idxs_map' and orig.pos_args[1]._obj in stoch:\n            # -- this is an idxs_map of a random draw of distribution `dist`\n            idxs = orig.pos_args[0]\n            dist = orig.pos_args[1]._obj\n\n            def foo(arg):\n                # -- each argument is an idxs, vals pair\n                assert arg.name == 'pos_args'\n                assert len(arg.pos_args) == 2\n                arg_vals = arg.pos_args[1]\n                if (arg_vals.name == 'asarray' and\n                   arg_vals.inputs()[0].name == 'repeat'):\n                    # -- draws are iid, so forget about\n                    #    repeating the distribution parameters\n                    repeated_thing = arg_vals.inputs()[0].inputs()[1]\n                    return repeated_thing\n                else:\n                    if arg.pos_args[0] is idxs:\n                        return arg_vals\n                    else:\n                        # -- arg.pos_args[0] is a superset of idxs\n                        #    TODO: slice out correct elements using\n                        #    idxs_take, but more importantly - test this case.\n                        raise NotImplementedError()\n            new_pos_args = [foo(arg) for arg in orig.pos_args[2:]]\n            new_named_args = [[aname, foo(arg)]\n                              for aname, arg in orig.named_args]\n            vnode = Apply(dist, new_pos_args, new_named_args, None)\n            n_times = scope.len(idxs)\n            if 'size' in dict(vnode.named_args):\n                raise NotImplementedError('random node already has size')\n            vnode.named_args.append(['size', n_times])\n            # -- loop over all nodes that *use* this one, and change them\n            for client in nodes[ii + 1:]:\n                client.replace_input(orig, vnode)\n            if expr is orig:\n                expr = vnode\n            memo[orig] = vnode\n    if return_memo:\n        return expr, memo\n    else:\n        return expr\n\n\nclass VectorizeHelper(object):\n    \"\"\"\n    Convert a pyll expression representing a single trial into a pyll\n    expression representing multiple trials.\n\n    The resulting multi-trial expression is not meant to be evaluated\n    directly. It is meant to serve as the input to a suggest algo.\n\n    idxs_memo - node in expr graph -> all elements we might need for it\n    take_memo - node in expr graph -> all exprs retrieving computed elements\n\n    \"\"\"\n\n    def __init__(self, expr, expr_idxs, build=True):\n        self.expr = expr\n        self.expr_idxs = expr_idxs\n        self.dfs_nodes = dfs(expr)\n        self.params = {}\n        for ii, node in enumerate(self.dfs_nodes):\n            if node.name == 'hyperopt_param':\n                label = node.arg['label'].obj\n                self.params[label] = node.arg['obj']\n        # -- recursive construction\n        #    This makes one term in each idxs, vals memo for every\n        #    directed path through the switches in the graph.\n\n        self.idxs_memo = {}  # node -> union, all idxs computed\n        self.take_memo = {}  # node -> list of idxs_take retrieving node vals\n        self.v_expr = self.build_idxs_vals(expr, expr_idxs)\n\n        # TODO: graph-optimization pass to remove cruft:\n        #  - unions of 1\n        #  - unions of full sets with their subsets\n        #  - idxs_take that can be merged\n\n        self.assert_integrity_idxs_take()\n\n    def assert_integrity_idxs_take(self):\n        idxs_memo = self.idxs_memo\n        take_memo = self.take_memo\n        after = dfs(self.expr)\n        assert after == self.dfs_nodes\n        assert set(idxs_memo.keys()) == set(take_memo.keys())\n        for node in idxs_memo:\n            idxs = idxs_memo[node]\n            assert idxs.name == 'array_union'\n            vals = take_memo[node][0].pos_args[1]\n            for take in take_memo[node]:\n                assert take.name == 'idxs_take'\n                assert [idxs, vals] == take.pos_args[:2]\n\n    def build_idxs_vals(self, node, wanted_idxs):\n        \"\"\"\n        This recursive procedure should be called on an output-node.\n        \"\"\"\n        checkpoint_asserts = False\n\n        def checkpoint():\n            if checkpoint_asserts:\n                self.assert_integrity_idxs_take()\n                if node in self.idxs_memo:\n                    toposort(self.idxs_memo[node])\n                if node in self.take_memo:\n                    for take in self.take_memo[node]:\n                        toposort(take)\n\n        checkpoint()\n\n        # wanted_idxs are fixed, whereas idxs_memo\n        # is full of unions, that can grow in subsequent recursive\n        # calls to build_idxs_vals with node as argument.\n        assert wanted_idxs != self.idxs_memo.get(node)\n\n        # -- easy exit case\n        if node.name == 'hyperopt_param':\n            # -- ignore, not vectorizing\n            return self.build_idxs_vals(node.arg['obj'], wanted_idxs)\n\n        # -- easy exit case\n        elif node.name == 'hyperopt_result':\n            # -- ignore, not vectorizing\n            return self.build_idxs_vals(node.arg['obj'], wanted_idxs)\n\n        # -- literal case: always take from universal set\n        elif node.name == 'literal':\n            if node in self.idxs_memo:\n                all_idxs, all_vals = self.take_memo[node][0].pos_args[:2]\n                wanted_vals = scope.idxs_take(all_idxs, all_vals, wanted_idxs)\n                self.take_memo[node].append(wanted_vals)\n                checkpoint()\n            else:\n                # -- initialize idxs_memo to full set\n                all_idxs = self.expr_idxs\n                n_times = scope.len(all_idxs)\n                # -- put array_union into graph for consistency, though it is\n                # not necessary\n                all_idxs = scope.array_union(all_idxs)\n                self.idxs_memo[node] = all_idxs\n                all_vals = scope.asarray(scope.repeat(n_times, node))\n                wanted_vals = scope.idxs_take(all_idxs, all_vals, wanted_idxs)\n                assert node not in self.take_memo\n                self.take_memo[node] = [wanted_vals]\n                checkpoint()\n            return wanted_vals\n\n        # -- switch case: complicated\n        elif node.name == 'switch':\n            if (node in self.idxs_memo and\n               wanted_idxs in self.idxs_memo[node].pos_args):\n                # -- phew, easy case\n                all_idxs, all_vals = self.take_memo[node][0].pos_args[:2]\n                wanted_vals = scope.idxs_take(all_idxs, all_vals, wanted_idxs)\n                self.take_memo[node].append(wanted_vals)\n                checkpoint()\n            else:\n                # -- we need to add some indexes\n                if node in self.idxs_memo:\n                    all_idxs = self.idxs_memo[node]\n                    assert all_idxs.name == 'array_union'\n                    all_idxs.pos_args.append(wanted_idxs)\n                else:\n                    all_idxs = scope.array_union(wanted_idxs)\n\n                choice = node.pos_args[0]\n                all_choices = self.build_idxs_vals(choice, all_idxs)\n\n                options = node.pos_args[1:]\n                args_idxs = scope.vchoice_split(all_idxs, all_choices,\n                                                len(options))\n                all_vals = scope.vchoice_merge(all_idxs, all_choices)\n                for opt_ii, idxs_ii in zip(options, args_idxs):\n                    all_vals.pos_args.append(\n                        as_apply([\n                            idxs_ii,\n                            self.build_idxs_vals(opt_ii, idxs_ii),\n                        ]))\n\n                wanted_vals = scope.idxs_take(\n                    all_idxs,     # -- may grow in future\n                    all_vals,     # -- may be replaced in future\n                    wanted_idxs)  # -- fixed.\n                if node in self.idxs_memo:\n                    assert self.idxs_memo[node].name == 'array_union'\n                    self.idxs_memo[node].pos_args.append(wanted_idxs)\n                    for take in self.take_memo[node]:\n                        assert take.name == 'idxs_take'\n                        take.pos_args[1] = all_vals\n                    self.take_memo[node].append(wanted_vals)\n                else:\n                    self.idxs_memo[node] = all_idxs\n                    self.take_memo[node] = [wanted_vals]\n                checkpoint()\n\n        # -- general case\n        else:\n            # -- this is a general node.\n            #    It is generally handled with idxs_memo,\n            #    but vectorize_stochastic may immediately transform it into\n            #    a more compact form.\n            if (node in self.idxs_memo and\n               wanted_idxs in self.idxs_memo[node].pos_args):\n                # -- phew, easy case\n                for take in self.take_memo[node]:\n                    if take.pos_args[2] == wanted_idxs:\n                        return take\n                raise NotImplementedError('how did this happen?')\n                # all_idxs, all_vals = self.take_memo[node][0].pos_args[:2]\n                # wanted_vals = scope.idxs_take(all_idxs, all_vals, wanted_idxs)\n                # self.take_memo[node].append(wanted_vals)\n                # checkpoint()\n            else:\n                # XXX\n                # -- determine if wanted_idxs is actually a subset of the idxs\n                # that we are already computing.  This is not only an\n                # optimization, but prevents the creation of cycles, which\n                # would otherwise occur if we have a graph of the form\n                # switch(f(a), g(a), 0). If there are other switches inside f\n                # and g, does this get trickier?\n\n                # -- assume we need to add some indexes\n                checkpoint()\n                if node in self.idxs_memo:\n                    all_idxs = self.idxs_memo[node]\n\n                else:\n                    all_idxs = scope.array_union(wanted_idxs)\n                checkpoint()\n\n                all_vals = scope.idxs_map(all_idxs, node.name)\n                for ii, aa in enumerate(node.pos_args):\n                    all_vals.pos_args.append(as_apply([\n                        all_idxs, self.build_idxs_vals(aa, all_idxs)]))\n                    checkpoint()\n                for ii, (nn, aa) in enumerate(node.named_args):\n                    all_vals.named_args.append([nn, as_apply([\n                        all_idxs, self.build_idxs_vals(aa, all_idxs)])])\n                    checkpoint()\n                all_vals = vectorize_stochastic(all_vals)\n\n                checkpoint()\n                wanted_vals = scope.idxs_take(\n                    all_idxs,     # -- may grow in future\n                    all_vals,     # -- may be replaced in future\n                    wanted_idxs)  # -- fixed.\n                if node in self.idxs_memo:\n                    assert self.idxs_memo[node].name == 'array_union'\n                    self.idxs_memo[node].pos_args.append(wanted_idxs)\n                    toposort(self.idxs_memo[node])\n                    # -- this catches the cycle bug mentioned above\n                    for take in self.take_memo[node]:\n                        assert take.name == 'idxs_take'\n                        take.pos_args[1] = all_vals\n                    self.take_memo[node].append(wanted_vals)\n                else:\n                    self.idxs_memo[node] = all_idxs\n                    self.take_memo[node] = [wanted_vals]\n                checkpoint()\n\n        return wanted_vals\n\n    def idxs_by_label(self):\n        return dict([(name, self.idxs_memo[node])\n                     for name, node in list(self.params.items())])\n\n    def vals_by_label(self):\n        return dict([(name, self.take_memo[node][0].pos_args[1])\n                     for name, node in list(self.params.items())])\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/ExperimentGrid.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n#\n# This code is written for research and educational purposes only to\n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport os\nimport sys\nimport tempfile\nimport pickle\n\nimport numpy        as np\nimport numpy.random as npr\n\nfrom .spearmint_pb2 import *\nfrom .Locker        import *\nfrom .sobol_lib     import *\nfrom .helpers       import *\n\n\nimport logging\nlogger = logging.getLogger(__name__)\nlog = logger.debug\n\nCANDIDATE_STATE = 0\nSUBMITTED_STATE = 1\nRUNNING_STATE   = 2\nCOMPLETE_STATE  = 3\nBROKEN_STATE    = -1\n\nEXPERIMENT_GRID_FILE = 'expt-grid.pkl'\n\n\nclass ExperimentGrid:\n\n    @staticmethod\n    def job_running(expt_dir, id):\n        expt_grid = ExperimentGrid(expt_dir)\n        expt_grid.set_running(id)\n\n    @staticmethod\n    def job_complete(expt_dir, id, value, duration):\n        log(\"setting job %d complete\" % id)\n        expt_grid = ExperimentGrid(expt_dir)\n        expt_grid.set_complete(id, value, duration)\n        log(\"set...\")\n\n    @staticmethod\n    def job_broken(expt_dir, id):\n        expt_grid = ExperimentGrid(expt_dir)\n        expt_grid.set_broken(id)\n\n    def __init__(self, expt_dir, variables=None, grid_size=None, grid_seed=1):\n        self.expt_dir = expt_dir\n        self.jobs_pkl = os.path.join(expt_dir, EXPERIMENT_GRID_FILE)\n        self.locker   = Locker()\n\n        # Only one process at a time is allowed to have access to the grid.\n        self.locker.lock_wait(self.jobs_pkl)\n\n        # Set up the grid for the first time if it doesn't exist.\n        if variables is not None and not os.path.exists(self.jobs_pkl):\n            self.seed     = grid_seed\n            self.vmap     = GridMap(variables, grid_size)\n            self.grid     = self._hypercube_grid(self.vmap.card(), grid_size)\n            self.status   = np.zeros(grid_size, dtype=int) + CANDIDATE_STATE\n            self.values   = np.zeros(grid_size) + np.nan\n            self.durs     = np.zeros(grid_size) + np.nan\n            self.proc_ids = np.zeros(grid_size, dtype=int)\n            self._save_jobs()\n\n        # Or load in the grid from the pickled file.\n        else:\n            self._load_jobs()\n\n\n    def __del__(self):\n        self._save_jobs()\n        if self.locker.unlock(self.jobs_pkl):\n            pass\n        else:\n            raise Exception(\"Could not release lock on job grid.\\n\")\n\n    def get_grid(self):\n        return self.grid, self.values, self.durs\n\n    def get_candidates(self):\n        return np.nonzero(self.status == CANDIDATE_STATE)[0]\n\n    def get_pending(self):\n        return np.nonzero((self.status == SUBMITTED_STATE) | (self.status == RUNNING_STATE))[0]\n\n    def get_complete(self):\n        return np.nonzero(self.status == COMPLETE_STATE)[0]\n\n    def get_broken(self):\n        return np.nonzero(self.status == BROKEN_STATE)[0]\n\n    def get_params(self, index):\n        return self.vmap.get_params(self.grid[index,:])\n\n    def get_best(self):\n        finite = self.values[np.isfinite(self.values)]\n        if len(finite) > 0:\n            cur_min = np.min(finite)\n            index   = np.nonzero(self.values==cur_min)[0][0]\n            return cur_min, index\n        else:\n            return np.nan, -1\n\n    def get_proc_id(self, id):\n        return self.proc_ids[id]\n\n    def add_to_grid(self, candidate):\n        # Checks to prevent numerical over/underflow from corrupting the grid\n        candidate[candidate > 1.0] = 1.0\n        candidate[candidate < 0.0] = 0.0\n\n        # Set up the grid\n        self.grid   = np.vstack((self.grid, candidate))\n        self.status = np.append(self.status, np.zeros(1, dtype=int) +\n                                int(CANDIDATE_STATE))\n\n        self.values = np.append(self.values, np.zeros(1)+np.nan)\n        self.durs   = np.append(self.durs, np.zeros(1)+np.nan)\n        self.proc_ids = np.append(self.proc_ids, np.zeros(1,dtype=int))\n\n        # Save this out.\n        self._save_jobs()\n        return self.grid.shape[0]-1\n\n    def set_candidate(self, id):\n        self.status[id] = CANDIDATE_STATE\n        self._save_jobs()\n\n    def set_submitted(self, id, proc_id):\n        self.status[id] = SUBMITTED_STATE\n        self.proc_ids[id] = proc_id\n        self._save_jobs()\n\n    def set_running(self, id):\n        self.status[id] = RUNNING_STATE\n        self._save_jobs()\n\n    def set_complete(self, id, value, duration):\n        self.status[id] = COMPLETE_STATE\n        self.values[id] = value\n        self.durs[id]   = duration\n        self._save_jobs()\n\n    def set_broken(self, id):\n        self.status[id] = BROKEN_STATE\n        self._save_jobs()\n\n    def _load_jobs(self):\n        fh   = open(self.jobs_pkl, 'rb')\n        jobs = pickle.load(fh)\n        fh.close()\n\n        self.vmap   = jobs['vmap']\n        self.grid   = jobs['grid']\n        self.status = jobs['status']\n        self.values = jobs['values']\n        self.durs   = jobs['durs']\n        self.proc_ids = jobs['proc_ids']\n\n    def _save_jobs(self):\n\n        # Write everything to a temporary file first.\n        fh = tempfile.NamedTemporaryFile(mode='wb', delete=False)\n        pickle.dump({ 'vmap'   : self.vmap,\n                       'grid'   : self.grid,\n                       'status' : self.status,\n                       'values' : self.values,\n                       'durs'   : self.durs,\n                       'proc_ids' : self.proc_ids }, fh, protocol=-1)\n        fh.close()\n\n        # Use an atomic move for better NFS happiness.\n        cmd = 'mv \"%s\" \"%s\"' % (fh.name, self.jobs_pkl)\n        os.system(cmd) # TODO: Should check system-dependent return status.\n\n    def _hypercube_grid(self, dims, size):\n        # Generate from a sobol sequence\n        sobol_grid = np.transpose(i4_sobol_generate(dims,size,self.seed))\n\n        return sobol_grid\n\nclass GridMap:\n\n    def __init__(self, variables, grid_size):\n        self.variables   = []\n        self.cardinality = 0\n\n        # Count the total number of dimensions and roll into new format.\n        for variable in variables:\n            self.cardinality += variable.size\n\n            if variable.type == \"int\":\n                self.variables.append({ 'name' : variable.name,\n                                        'size' : variable.size,\n                                        'type' : 'int',\n                                        'min'  : int(variable.range[0]),\n                                        'max'  : int(variable.range[1])})\n\n            elif variable.type == \"float\":\n                self.variables.append({ 'name' : variable.name,\n                                        'size' : variable.size,\n                                        'type' : 'float',\n                                        'min'  : float(variable.range[0]),\n                                        'max'  : float(variable.range[1])})\n\n            elif variable.type == \"enum\":\n                self.variables.append({ 'name'    : variable.name,\n                                        'size'    : variable.size,\n                                        'type'    : 'enum',\n                                        'options' : variable.range})\n            else:\n                raise Exception(\"Unknown parameter type.\")\n        log(\"Optimizing over %d dimensions\\n\" % (self.cardinality))\n\n    def get_params(self, u):\n        if u.shape[0] != self.cardinality:\n            raise Exception(\"Hypercube dimensionality is incorrect.\")\n\n        params = {}\n        index  = 0\n        for variable in self.variables:\n\n            param = []\n            if variable['type'] == 'int':\n                for dd in range(variable['size']):\n                    param.append(variable['min'] + self._index_map(u[index], variable['max']-variable['min']+1))\n                    index += 1\n\n            elif variable['type'] == 'float':\n                for dd in range(variable['size']):\n                    param.append(variable['min'] + u[index]*(variable['max']-variable['min']))\n                    index += 1\n\n            elif variable['type'] == 'enum':\n                for dd in range(variable['size']):\n                    ii = self._index_map(u[index], len(variable['options']))\n                    index += 1\n                    param.append(variable['options'][ii])\n            else:\n                raise Exception(\"Unknown parameter type.\")\n\n            params[variable['name']]=param\n\n        return params\n\n    def card(self):\n        return self.cardinality\n\n    def _index_map(self, u, items):\n        u = np.max((u, 0.0))\n        u = np.min((u, 1.0))\n        return int(np.floor((1-np.finfo(float).eps) * u * float(items)))\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/Locker.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n#\n# This code is written for research and educational purposes only to\n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport os\nimport sys\nimport time\n\ndef safe_delete(filename):\n    cmd  = 'mv \"%s\" \"%s.delete\" && rm \"%s.delete\"' % (filename, filename,\n                                                      filename)\n    fail = os.system(cmd)\n    return not fail\n\nclass Locker:\n\n    def __init__(self):\n        self.locks = {}\n\n    def __del__(self):\n\n        for filename in list(self.locks.keys()):\n            self.locks[filename] = 1\n            self.unlock(filename)\n\n    def lock(self, filename):\n        if filename in self.locks:\n            self.locks[filename] += 1\n            return True\n        else:\n            cmd = 'ln -s /dev/null \"%s.lock\" 2> /dev/null' % (filename)\n            fail = os.system(cmd)\n            if not fail:\n                self.locks[filename] = 1\n            return not fail\n\n    def unlock(self, filename):\n        if not filename in self.locks:\n            #sys.stderr.write(\"Trying to unlock not-locked file %s.\\n\" % (filename))\n            return True\n        if self.locks[filename] == 1:\n            success = safe_delete('%s.lock' % (filename))\n            if not success:\n                sys.stderr.write(\"Could not unlock file: %s.\\n\" % (filename))\n            del self.locks[filename]\n            return success\n        else:\n            self.locks[filename] -= 1\n            return True\n\n    def lock_wait(self, filename):\n        while not self.lock(filename):\n          time.sleep(0.01)\n\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/__init__.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n# \n# This code is written for research and educational purposes only to \n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n# \n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n# \n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n\n\nfrom .ExperimentGrid import ExperimentGrid"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/CMAChooser.py",
    "content": "from cma import CMAEvolutionStrategy\nfrom spearmint import util\nimport Locker\n\ndef init(expt_dir, arg_string):\n    args = util.unpack_args(arg_string)\n    return CMAChooser(expt_dir, **args)\n\n\"\"\"\nChooser module for the CMA-ES evolutionary optimizer.\n\"\"\"\nclass CMAChooser:\n\n    def __init__(self, expt_dir):\n\n        raise NotImplementedError('The CMA chooser is not yet implemented!')\n        \n        self.state_pkl = os.path.join(expt_dir, self.__module__ + \".pkl\")\n\n        #TODO: params needs to be an array of starting values\n        # - need to figure out how to map Spearmint params into\n        # all floats usable by the evolution strategy.\n        self.optimizer = CMAEvolutionStrategy(params)\n\n    def _real_init(self, dims, values):\n\n        raise NotImplementedError('The CMA chooser is not yet implemented!')\n        self.locker.lock_wait(self.state_pkl)\n\n        if os.path.exists(self.state_pkl):\n            fh    = open(self.state_pkl, 'rb')\n            state = pickle.load(fh)\n            fh.close()\n\n            #TODO: setup config and state values from state, or setup fresh\n            #defaults\n\n    def __del__(self):\n\n        raise NotImplementedError('The CMA chooser is not yet implemented!')\n        self.locker.lock_wait(self.state_pkl)\n\n        # Write the hyperparameters out to a Pickle.\n        fh = tempfile.NamedTemporaryFile(mode='wb', delete=False)\n\n        # do this to save the optimizer state\n#    >>> pickle.dump(es, open('saved-cma-object.pkl', 'wb'))\n\n        # and this to load it back...\n#    >>> es = pickle.load(open('saved-cma-object.pkl', 'rb'))\n\n        pickle.dump({ 'dims'   : self.D,\n                       'ls'     : self.ls,\n                       'amp2'   : self.amp2,\n                       'noise'  : self.noise,\n                       'mean'   : self.mean },\n                     fh)\n        fh.close()\n\n        # Use an atomic move for better NFS happiness.\n        cmd = 'mv \"%s\" \"%s\"' % (fh.name, self.state_pkl)\n        os.system(cmd) # TODO: Should check system-dependent return status.\n\n        self.locker.unlock(self.state_pkl)\n\n    def next(self, grid, values, durations, candidates, pending, complete):\n\n        raise NotImplementedError('The CMA chooser is not yet implemented!')\n\n        # Perform the real initialization.\n        if self.D == -1:\n            self._real_init(grid.shape[1], values[complete])\n\n        # Grab out the relevant sets.\n        comp = grid[complete,:]\n        cand = grid[candidates,:]\n        pend = grid[pending,:]\n        vals = values[complete]\n\n        # TODO: tell the optimizer about any new f-values, get the next proposed\n        # sample, or maybe generate a population of samples and iterate through\n        # them?\n\n#    ...         X = es.ask()    # get list of new solutions\n#    ...         fit = [cma.fcts.rastrigin(x) for x in X]  # evaluate each solution\n#    ...         es.tell(X, fit) # besides for termination only the ranking in fit is used\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/GPConstrainedEIChooser.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n#\n# This code is written for research and educational purposes only to\n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport os\nfrom .. import gp\nimport sys\nfrom .. import util\nimport tempfile\nimport numpy          as np\nimport math\nimport numpy.random   as npr\nimport scipy.linalg   as spla\nimport scipy.stats    as sps\nimport scipy.optimize as spo\nimport pickle\nimport matplotlib.pyplot as plt\nimport multiprocessing\nimport copy\n\nfrom ..helpers import *\nfrom ..Locker  import *\n\nimport logging\nlogger = logging.getLogger(__name__)\nlog = logger.debug\n\n# Wrapper function to pass to parallel ei optimization calls\ndef optimize_pt(c, b, comp, pend, vals, labels, model):\n    ret = spo.fmin_l_bfgs_b(model.grad_optimize_ei_over_hypers,\n                            c.flatten(), args=(comp, pend, vals, labels),\n                            bounds=b, disp=0)\n    return ret[0]\n\ndef init(expt_dir, arg_string):\n    args = util.unpack_args(arg_string)\n    return GPConstrainedEIChooser(expt_dir, **args)\n\n\"\"\"\nChooser module for Constrained Gaussian process expected improvement.\nCandidates are sampled densely in the unit hypercube and then a subset\nof the most promising points are optimized to maximize constrained EI\nover hyperparameter samples.  Slice sampling is used to sample\nGaussian process hyperparameters for two GPs, one over the objective\nfunction and the other a probit likelihood classification GP that estimates the\nprobability that a point is outside of the constraint space.\n\"\"\"\nclass GPConstrainedEIChooser:\n\n    def __init__(self, expt_dir, covar=\"Matern52\", mcmc_iters=20,\n                 pending_samples=100, noiseless=False, burnin=100,\n                 grid_subset=20, constraint_violating_value=np.inf,\n                 verbosity=0, visualize2D=False):\n        self.cov_func        = getattr(gp, covar)\n        self.locker          = Locker()\n        self.state_pkl       = os.path.join(expt_dir, self.__module__ + \".pkl\")\n\n        self.stats_file      = os.path.join(expt_dir,\n                                   self.__module__ + \"_hyperparameters.txt\")\n        self.mcmc_iters      = int(mcmc_iters)\n        self.burnin          = int(burnin)\n        self.needs_burnin    = True\n        self.pending_samples = pending_samples\n        self.D               = -1\n        self.hyper_iters     = 1\n        # Number of points to optimize EI over\n        self.grid_subset     = int(grid_subset)\n        self.noiseless       = bool(int(noiseless))\n        self.hyper_samples   = []\n        self.constraint_hyper_samples = []\n        self.ff              = None\n        self.ff_samples      = []\n        self.verbosity       = int(verbosity)\n\n        self.noise_scale = 0.1  # horseshoe prior\n        self.amp2_scale  = 1    # zero-mean log normal prior\n        self.max_ls      = 2    # top-hat prior on length scales\n\n        self.constraint_noise_scale = 0.1  # horseshoe prior\n        self.constraint_amp2_scale  = 1    # zero-mean log normal prio\n        self.constraint_gain        = 1   # top-hat prior on length scales\n        self.constraint_max_ls      = 2   # top-hat prior on length scales\n        self.bad_value = float(constraint_violating_value)\n        self.visualize2D            = visualize2D\n\n        self.ls = None\n        self.amp2 = None\n        self.noise = None\n        self.mean = None\n        self.constraint_ls = None\n        self.constraint_amp2 = None\n        self.constraint_mean = None\n        self.constraint_noise = None\n\n    # A simple function to dump out hyperparameters to allow for a hot start\n    # if the optimization is restarted.\n    def dump_hypers(self):\n        self.locker.lock_wait(self.state_pkl)\n\n        # Write the hyperparameters out to a Pickle.\n        fh = tempfile.NamedTemporaryFile(mode='wb', delete=False)\n        pickle.dump({ 'dims'        : self.D,\n                       'ls'          : self.ls,\n                       'amp2'        : self.amp2,\n                       'noise'       : self.noise,\n                       'mean'        : self.mean,\n                       'constraint_ls'     : self.constraint_ls,\n                       'constraint_amp2'   : self.constraint_amp2,\n                       'constraint_noise'  : self.constraint_noise,\n                       'constraint_mean'   : self.constraint_mean },\n                     fh)\n        fh.close()\n\n        # Use an atomic move for better NFS happiness.\n        cmd = 'mv \"%s\" \"%s\"' % (fh.name, self.state_pkl)\n        os.system(cmd) # TODO: Should check system-dependent return status.\n\n        self.locker.unlock(self.state_pkl)\n\n        # Write the hyperparameters out to a human readable file as well\n        fh    = open(self.stats_file, 'w')\n        fh.write('Mean Noise Amplitude <length scales>\\n')\n        fh.write('-----------ALL SAMPLES-------------\\n')\n        meanhyps = 0*np.hstack(self.hyper_samples[0])\n        for i in self.hyper_samples:\n            hyps = np.hstack(i)\n            meanhyps += (1/float(len(self.hyper_samples)))*hyps\n            for j in hyps:\n                fh.write(str(j) + ' ')\n            fh.write('\\n')\n\n        fh.write('-----------MEAN OF SAMPLES-------------\\n')\n        for j in meanhyps:\n            fh.write(str(j) + ' ')\n        fh.write('\\n')\n        fh.close()\n\n    def _real_init(self, dims, values, durations):\n\n        self.locker.lock_wait(self.state_pkl)\n\n        self.randomstate = npr.get_state()\n        if os.path.exists(self.state_pkl):\n            fh    = open(self.state_pkl, 'rb')\n            state = pickle.load(fh)\n            fh.close()\n\n            self.D                = state['dims']\n            self.ls               = state['ls']\n            self.amp2             = state['amp2']\n            self.noise            = state['noise']\n            self.mean             = state['mean']\n            self.constraint_ls    = state['constraint_ls']\n            self.constraint_amp2  = state['constraint_amp2']\n            self.constraint_noise = state['constraint_noise']\n            self.constraint_mean  = state['constraint_mean']\n            self.constraint_gain  = state['constraint_gain']\n            self.needs_burnin     = False\n        else:\n\n            # Identify constraint violations\n            # Note that we'll treat NaNs and Infs as these values as well\n            # as an optional user defined value\n            goodvals = np.nonzero(np.logical_and(values != self.bad_value,\n                                                 np.isfinite(values)))[0]\n\n            # Input dimensionality.\n            self.D = dims\n\n            # Initial length scales.\n            self.ls = np.ones(self.D)\n            self.constraint_ls = np.ones(self.D)\n\n            # Initial amplitude.\n            self.amp2 = np.std(values[goodvals])+1e-4\n            self.constraint_amp2 = 1.0\n\n            # Initial observation noise.\n            self.noise = 1e-3\n            self.constraint_noise = 1e-3\n            self.constraint_gain = 1\n\n            # Initial mean.\n            self.mean = np.mean(values[goodvals])\n            self.constraint_mean = 0.5\n\n        self.locker.unlock(self.state_pkl)\n\n    def cov(self, amp2, ls, x1, x2=None):\n        if x2 is None:\n            return amp2 * (self.cov_func(ls, x1, None)\n                           + 1e-6*np.eye(x1.shape[0]))\n        else:\n            return amp2 * self.cov_func(ls, x1, x2)\n\n    # Given a set of completed 'experiments' in the unit hypercube with\n    # corresponding objective 'values', pick from the next experiment to\n    # run according to the acquisition function.\n    def next(self, grid, values, durations,\n             candidates, pending, complete):\n\n        # Don't bother using fancy GP stuff at first.\n        if complete.shape[0] < 2:\n            return int(candidates[0])\n\n        # Grab out the relevant sets.\n        comp = grid[complete,:]\n        cand = grid[candidates,:]\n        pend = grid[pending,:]\n        vals = values[complete]\n\n        # Identify constraint violations\n        # Note that we'll treat NaNs and Infs as these values as well\n        # as an optional user defined value\n        idx = np.logical_and(vals != self.bad_value,\n                             np.isfinite(vals))\n        goodvals = np.nonzero(idx)[0]\n        badvals = np.nonzero(np.logical_not(idx))[0]\n\n        log('Found %d constraint violating jobs' % (badvals.shape[0]))\n\n        # There's no point regressing on one observation\n        log('Received %d valid results' % (goodvals.shape[0]))\n        if goodvals.shape[0] < 2:\n            return int(candidates[0])\n\n        labels = np.zeros(vals.shape[0])\n        labels[goodvals] = 1\n\n        if np.sum(labels) < 2:\n            return int(candidates[0])\n\n        # Perform the real initialization.\n        if self.D == -1:\n            self._real_init(grid.shape[1], values[complete],\n                            durations[complete])\n\n        # Spray a set of candidates around the min so far\n        numcand = cand.shape[0]\n        best_comp = np.argmin(vals)\n        cand2 = np.vstack((np.random.randn(10,comp.shape[1])*0.001 +\n                           comp[best_comp,:], cand))\n\n        if self.mcmc_iters > 0:\n\n            # Possibly burn in.\n            if self.needs_burnin:\n                for mcmc_iter in range(self.burnin):\n                    self.sample_constraint_hypers(comp, labels)\n                    self.sample_hypers(comp[goodvals,:], vals[goodvals])\n                    log(\"BURN %d/%d] mean: %.2f  amp: %.2f \"\n                                     \"noise: %.4f  min_ls: %.4f  max_ls: %.4f\"\n                                     % (mcmc_iter+1, self.burnin, self.mean,\n                                        np.sqrt(self.amp2), self.noise,\n                                        np.min(self.ls), np.max(self.ls)))\n                self.needs_burnin = False\n\n            # Sample from hyperparameters.\n            # Adjust the candidates to hit ei/sec peaks\n            self.hyper_samples = []\n            for mcmc_iter in range(self.mcmc_iters):\n                self.sample_constraint_hypers(comp, labels)\n                self.sample_hypers(comp[goodvals,:], vals[goodvals])\n                if self.verbosity > 0:\n                    log(\"%d/%d] mean: %.2f  amp: %.2f noise: %.4f \"\n                                     \"min_ls: %.4f  max_ls: %.4f\"\n                                     % (mcmc_iter+1, self.mcmc_iters, self.mean,\n                                        np.sqrt(self.amp2), self.noise,\n                                        np.min(self.ls), np.max(self.ls)))\n\n                    log(\"%d/%d] constraint_mean: %.2f \"\n                                     \"constraint_amp: %.2f \"\n                                     \"constraint_gain: %.4f \"\n                                     \"constraint_min_ls: %.4f \"\n                                     \"constraint_max_ls: \"\n                                     \"%.4f\"\n                                     % (mcmc_iter+1, self.mcmc_iters,\n                                        self.constraint_mean,\n                                        np.sqrt(self.constraint_amp2),\n                                        self.constraint_gain,\n                                        np.min(self.constraint_ls),\n                                        np.max(self.constraint_ls)))\n            self.dump_hypers()\n            comp_preds = np.zeros(labels.shape[0]).flatten()\n\n            preds = self.pred_constraint_voilation(cand, comp, labels).flatten()\n            for ii in range(self.mcmc_iters):\n                constraint_hyper = self.constraint_hyper_samples[ii]\n                self.ff = self.ff_samples[ii]\n                self.constraint_mean = constraint_hyper[0]\n                self.constraint_gain = constraint_hyper[1]\n                self.constraint_amp2 = constraint_hyper[2]\n                self.constraint_ls = constraint_hyper[3]\n                comp_preds += self.pred_constraint_voilation(comp, comp,\n                                                             labels).flatten()\n            comp_preds = comp_preds / float(self.mcmc_iters)\n            log('Predicting %.2f%% constraint violations (%d/%d): ' % (np.mean(preds < 0.5)*100, np.sum(preds < 0.5), preds.shape[0]))\n            if self.verbosity > 0:\n                log('Prediction` %f%% train accuracy (%d/%d): ' % (\n                    np.mean((comp_preds > 0.5) == labels),\n                    np.sum((comp_preds > 0.5) == labels), comp_preds.shape[0]))\n\n            if self.visualize2D:\n                delta = 0.025\n                x = np.arange(0, 1.0, delta)\n                y = np.arange(0, 1.0, delta)\n                X, Y = np.meshgrid(x, y)\n\n                cpreds = np.zeros((X.shape[0], X.shape[1]))\n                predei = np.zeros((X.shape[0], X.shape[1]))\n                predei2 = np.zeros((X.shape[0], X.shape[1]))\n                for ii in range(self.mcmc_iters):\n                    constraint_hyper = self.constraint_hyper_samples[ii]\n                    self.ff = self.ff_samples[ii]\n                    self.constraint_mean = constraint_hyper[0]\n                    self.constraint_gain = constraint_hyper[1]\n                    self.constraint_amp2 = constraint_hyper[2]\n                    self.constraint_ls = constraint_hyper[3]\n\n                    cpred = self.pred_constraint_voilation(\n                        np.hstack((X.flatten()[:,np.newaxis],\n                                   Y.flatten()[:,np.newaxis])), comp, labels)\n                    pei = self.compute_constrained_ei(\n                        comp, pend, np.hstack(\n                            (X.flatten()[:,np.newaxis],\n                             Y.flatten()[:,np.newaxis])), vals, labels)\n                    pei2 = self.compute_ei(\n                        comp, pend, np.hstack(\n                            (X.flatten()[:,np.newaxis],\n                             Y.flatten()[:,np.newaxis])), vals, labels)\n\n                    cpreds += np.reshape(cpred, (X.shape[0], X.shape[1]))\n                    predei += np.reshape(pei, (X.shape[0], X.shape[1]))\n                    predei2 += np.reshape(pei2, (X.shape[0], X.shape[1]))\n\n                plt.figure(1)\n                plt.clf()\n                cpreds = cpreds/float(self.mcmc_iters)\n                CS = plt.contour(X,Y,cpreds)\n                plt.clabel(CS, inline=1, fontsize=10)\n                plt.plot(comp[labels == 0,0], comp[labels == 0,1], 'rx')\n                plt.plot(comp[labels == 1,0], comp[labels == 1,1], 'bx')\n                plt.title(\n                    'Contours of Classification GP (Prob of not being a '\n                    'constraint violation)')\n                plt.legend(('Constraint Violations', 'Good points'),\n                           'lower left')\n                plt.savefig('constrained_ei_chooser_class_contour.pdf')\n\n                plt.figure(2)\n                plt.clf()\n                predei = predei/float(self.mcmc_iters)\n                CS = plt.contour(X,Y,predei)\n                plt.clabel(CS, inline=1, fontsize=10)\n                plt.plot(comp[labels == 0,0], comp[labels == 0,1], 'rx')\n                plt.plot(comp[labels == 1,0], comp[labels == 1,1], 'bx')\n                plt.title('Contours of EI*P(not violating constraint)')\n                plt.legend(('Constraint Violations', 'Good points'),\n                           'lower left')\n                plt.savefig('constrained_ei_chooser_eitimesprob_contour.pdf')\n\n                plt.figure(3)\n                plt.clf()\n                predei2 = predei2/float(self.mcmc_iters)\n                CS = plt.contour(X,Y,predei2)\n                plt.clabel(CS, inline=1, fontsize=10)\n                plt.plot(comp[labels == 0,0], comp[labels == 0,1], 'rx')\n                plt.plot(comp[labels == 1,0], comp[labels == 1,1], 'bx')\n                plt.title('Contours of EI')\n                plt.legend(('Constraint Violations', 'Good points'),\n                           'lower left')\n                plt.savefig('constrained_ei_chooser_ei_contour.pdf')\n                #plt.show()\n\n            # Pick the top candidates to optimize over\n            overall_ei = self.ei_over_hypers(comp,pend,cand2,vals,labels)\n            inds = np.argsort(np.mean(overall_ei, axis=1))[-self.grid_subset:]\n            cand2 = cand2[inds,:]\n\n            # Adjust the candidates to hit ei peaks\n            b = []# optimization bounds\n            for i in range(0, cand.shape[1]):\n                b.append((0, 1))\n\n            # Optimize each point in parallel\n            pool = multiprocessing.Pool(self.grid_subset)\n            results = [pool.apply_async(optimize_pt,args=(\n                        c,b,comp,pend,vals,labels, copy.copy(self))) for c in cand2]\n            for res in results:\n                cand = np.vstack((cand, res.get(1024)))\n            pool.close()\n\n            #for i in range(0, cand2.shape[0]):\n            #    log(\"Optimizing candidate %d/%d\\n\" %\n            #                     (i+1, cand2.shape[0]))\n            #    self.check_grad_ei(cand2[i,:], comp, pend, vals, labels)\n            #    ret = spo.fmin_l_bfgs_b(self.grad_optimize_ei_over_hypers,\n            #                            cand2[i,:].flatten(),\n            #                            args=(comp,pend,vals,labels,True),\n            #                            bounds=b, disp=0)\n            #    cand2[i,:] = ret[0]\n\n            cand = np.vstack((cand, cand2))\n\n            overall_ei = self.ei_over_hypers(comp,pend,cand,vals,labels)\n            best_cand = np.argmax(np.mean(overall_ei, axis=1))\n\n            self.dump_hypers()\n            if (best_cand >= numcand):\n                return (int(numcand), cand[best_cand,:])\n\n            return int(candidates[best_cand])\n\n        else:\n            log('This Chooser module permits only slice sampling with > 0 '\n                   'samples.')\n            raise Exception('mcmc_iters <= 0')\n\n    # Predict constraint voilating points\n    def pred_constraint_voilation(self, cand, comp, vals):\n        # The primary covariances for prediction.\n        comp_cov   = self.cov(self.constraint_amp2, self.constraint_ls, comp)\n        cand_cross = self.cov(self.constraint_amp2, self.constraint_ls, comp,\n                              cand)\n\n        # Compute the required Cholesky.\n        obsv_cov  = comp_cov + self.constraint_noise*np.eye(comp.shape[0])\n        obsv_chol = spla.cholesky(obsv_cov, lower=True)\n\n        cov_grad_func = getattr(gp, 'grad_' + self.cov_func.__name__)\n        cand_cross_grad = cov_grad_func(self.constraint_ls, comp, cand)\n\n        # Predictive things.\n        # Solve the linear systems.\n        alpha  = spla.cho_solve((obsv_chol, True), self.ff)\n        beta   = spla.solve_triangular(obsv_chol, cand_cross, lower=True)\n\n        # Predict the marginal means and variances at candidates.\n        func_m = np.dot(cand_cross.T, alpha)# + self.constraint_mean\n        func_m = sps.norm.cdf(func_m*self.constraint_gain)\n\n        return func_m\n\n    # Compute EI over hyperparameter samples\n    def ei_over_hypers(self,comp,pend,cand,vals,labels):\n        overall_ei = np.zeros((cand.shape[0], self.mcmc_iters))\n        for mcmc_iter in range(self.mcmc_iters):\n            hyper = self.hyper_samples[mcmc_iter]\n            constraint_hyper = self.constraint_hyper_samples[mcmc_iter]\n            self.mean = hyper[0]\n            self.noise = hyper[1]\n            self.amp2 = hyper[2]\n            self.ls = hyper[3]\n\n            self.constraint_mean = constraint_hyper[0]\n            self.constraint_gain = constraint_hyper[1]\n            self.constraint_amp2 = constraint_hyper[2]\n            self.constraint_ls = constraint_hyper[3]\n            overall_ei[:,mcmc_iter] = self.compute_constrained_ei(comp, pend,\n                                                                  cand, vals,\n                                                                  labels)\n\n        return overall_ei\n\n    # Adjust points by optimizing EI over a set of hyperparameter samples\n    def grad_optimize_ei_over_hypers(self, cand, comp, pend, vals, labels,\n                                     compute_grad=True):\n        summed_ei = 0\n        summed_grad_ei = np.zeros(cand.shape).flatten()\n\n        for mcmc_iter in range(self.mcmc_iters):\n            hyper = self.hyper_samples[mcmc_iter]\n            constraint_hyper = self.constraint_hyper_samples[mcmc_iter]\n            self.mean = hyper[0]\n            self.noise = hyper[1]\n            self.amp2 = hyper[2]\n            self.ls = hyper[3]\n\n            self.constraint_mean = constraint_hyper[0]\n            self.constraint_gain = constraint_hyper[1]\n            self.constraint_amp2 = constraint_hyper[2]\n            self.constraint_ls = constraint_hyper[3]\n            if compute_grad:\n                (ei,g_ei) = self.grad_optimize_ei(cand, comp, pend, vals, labels,\n                                                  compute_grad)\n                summed_grad_ei = summed_grad_ei + g_ei\n            else:\n                ei = self.grad_optimize_ei(cand, comp, pend, vals,\n                                           labels, compute_grad)\n\n            summed_ei += ei\n\n        if compute_grad:\n            return (summed_ei, summed_grad_ei)\n        else:\n            return summed_ei\n\n    def check_grad_ei(self, cand, comp, pend, vals, labels):\n        (ei,dx1) = self.grad_optimize_ei_over_hypers(cand, comp, pend, vals, labels)\n        dx2 = dx1*0\n        idx = np.zeros(cand.shape[0])\n        for i in range(0, cand.shape[0]):\n            idx[i] = 1e-6\n            (ei1,tmp) = self.grad_optimize_ei_over_hypers(\n                cand + idx, comp, pend, vals, labels)\n            (ei2,tmp) = self.grad_optimize_ei_over_hypers(\n                cand - idx, comp, pend, vals, labels)\n            dx2[i] = (ei - ei2)/(2*1e-6)\n            idx[i] = 0\n        log('computed grads %s' % dx1)\n        log('finite diffs %s'%dx2)\n        log (dx1/dx2)\n        log(np.sum((dx1 - dx2)**2))\n        time.sleep(2)\n\n    def grad_optimize_ei(self, cand, comp, pend, vals, labels, compute_grad=True):\n        if pend.shape[0] == 0:\n            return self.grad_optimize_ei_nopend(cand, comp, vals, labels,\n                                                compute_grad=True)\n        else:\n            return self.grad_optimize_ei_pend(cand, comp, pend, vals, labels,\n                                              compute_grad=True)\n\n    def grad_optimize_ei_pend(self, cand, comp, pend, vals, labels, compute_grad=True):\n        # Here we have to compute the gradients for constrained ei\n        # This means deriving through the two kernels, the one for predicting\n        # constraint violations and the one predicting ei\n\n        # First pull out violating points\n        compfull = comp.copy()\n        comp = comp[labels > 0, :]\n        vals = vals[labels > 0]\n\n        # Use standard EI if there aren't enough observations of either\n        # positive or negative constraint violations\n        use_vanilla_ei = (np.all(labels > 0) or np.all(labels <= 0))\n\n        best = np.min(vals)\n        cand = np.reshape(cand, (-1, comp.shape[1]))\n        func_constraint_m = 1\n\n        if (not use_vanilla_ei):\n\n            # First we make predictions for the durations\n            # Compute covariances\n            comp_constraint_cov   = self.cov(self.constraint_amp2,\n                                             self.constraint_ls,\n                                             compfull)\n            cand_constraint_cross = self.cov(self.constraint_amp2,\n                                             self.constraint_ls,\n                                             compfull,cand)\n\n            # Cholesky decompositions\n            obsv_constraint_cov  = (comp_constraint_cov +\n                 self.constraint_noise*np.eye(compfull.shape[0]))\n            obsv_constraint_chol = spla.cholesky(obsv_constraint_cov,lower=True)\n\n            # Linear systems\n            t_alpha  = spla.cho_solve((obsv_constraint_chol, True), self.ff)\n\n            # Predict marginal mean times and (possibly) variances\n            ff = np.dot(cand_constraint_cross.T, t_alpha)\n\n            # Squash through Gaussian cdf\n            func_constraint_m = sps.norm.cdf(self.constraint_gain*ff)\n\n            # Apply covariance function\n            cov_grad_func = getattr(gp, 'grad_' + self.cov_func.__name__)\n            cand_cross_grad = cov_grad_func(self.constraint_ls, compfull, cand)\n            grad_cross_t = np.squeeze(cand_cross_grad)\n\n        # Now compute the gradients w.r.t. ei\n        # The primary covariances for prediction.\n        comp_cov   = self.cov(self.amp2, self.ls, comp)\n        cand_cross = self.cov(self.amp2, self.ls, comp, cand)\n        comp_cov_full   = self.cov(self.amp2, self.ls, compfull)\n        cand_cross_full = self.cov(self.amp2, self.ls, compfull, cand)\n\n        # Create a composite vector of complete and pending.\n        comp_pend = np.concatenate((comp, pend))\n\n        # Compute the covariance and Cholesky decomposition.\n        comp_pend_cov  = (self.cov(self.amp2, self.ls, comp_pend) +\n                          self.noise*np.eye(comp_pend.shape[0]))\n        comp_pend_chol = spla.cholesky(comp_pend_cov, lower=True)\n\n        # Compute submatrices.\n        pend_cross = self.cov(self.amp2, self.ls, comp, pend)\n        pend_kappa = self.cov(self.amp2,self.ls, pend)\n\n        # Use the sub-Cholesky.\n        obsv_chol = comp_pend_chol[:comp.shape[0],:comp.shape[0]]\n\n        # Compute the required Cholesky.\n        #obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n        #obsv_chol = spla.cholesky(obsv_cov, lower=True)\n        obsv_cov_full  = comp_cov_full + self.noise*np.eye(compfull.shape[0])\n        obsv_chol_full = spla.cholesky( obsv_cov_full, lower=True)\n\n        # Predictive things.\n        # Solve the linear systems.\n        alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n        beta   = spla.cho_solve((obsv_chol, True), pend_cross)\n\n        # Finding predictive means and variances.\n        pend_m = np.dot(pend_cross.T, alpha) + self.mean\n        pend_K = pend_kappa - np.dot(pend_cross.T, beta)\n\n        # Take the Cholesky of the predictive covariance.\n        pend_chol = spla.cholesky(pend_K, lower=True)\n\n        # Make predictions.\n        npr.set_state(self.randomstate)\n        pend_fant = np.dot(pend_chol, npr.randn(pend.shape[0],self.pending_samples)) + pend_m[:,None]\n\n        # Include the fantasies.\n        fant_vals = np.concatenate(\n            (np.tile(vals[:,np.newaxis],\n                     (1,self.pending_samples)), pend_fant))\n\n        # Compute bests over the fantasies.\n        bests = np.min(fant_vals, axis=0)\n\n        # Now generalize from these fantasies.\n        cand_cross = self.cov(self.amp2, self.ls, comp_pend, cand)\n        cov_grad_func = getattr(gp, 'grad_' + self.cov_func.__name__)\n        cand_cross_grad = cov_grad_func(self.ls, comp_pend, cand)\n\n        # Solve the linear systems.\n        alpha  = spla.cho_solve((comp_pend_chol, True),\n                                fant_vals - self.mean)\n        beta   = spla.solve_triangular(comp_pend_chol, cand_cross,\n                                       lower=True)\n\n        # Predict the marginal means and variances at candidates.\n        func_m = np.dot(cand_cross.T, alpha) + self.mean\n        func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n        #beta  = spla.solve_triangular(obsv_chol_full, cand_cross_full,\n        #                               lower=True)\n        #beta   = spla.solve_triangular(obsv_chol, cand_cross,\n        #                               lower=True)\n\n        # Predict the marginal means and variances at candidates.\n        func_m = np.dot(cand_cross.T, alpha) + self.mean\n        func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n        # Expected improvement\n        func_s = np.sqrt(func_v)\n        u      = (best - func_m) / func_s\n        ncdf   = sps.norm.cdf(u)\n        npdf   = sps.norm.pdf(u)\n        ei     = func_s*(u*ncdf + npdf)\n\n        constrained_ei = -np.sum(ei*func_constraint_m)\n        if not compute_grad:\n            return constrained_ei\n\n        # Gradients of ei w.r.t. mean and variance\n        g_ei_m = -ncdf\n        g_ei_s2 = 0.5*npdf / func_s\n\n        # Apply covariance function\n        grad_cross = np.squeeze(cand_cross_grad)\n\n        grad_xp_m = np.dot(alpha.transpose(),grad_cross)\n        grad_xp_v = np.dot(-2*spla.cho_solve(\n                (comp_pend_chol, True),cand_cross).transpose(), grad_cross)\n\n        grad_xp = 0.5*self.amp2*(grad_xp_m*np.tile(g_ei_m,(comp.shape[1],1)).T + (grad_xp_v.T*g_ei_s2).T)\n\n        grad_xp = np.sum(grad_xp,axis=0)\n\n        if use_vanilla_ei:\n            return -np.sum(ei), grad_xp.flatten()\n\n        grad_constraint_xp_m = np.dot(t_alpha.transpose(),grad_cross_t)\n        grad_constraint_xp_m = (0.5*self.constraint_amp2*\n                                self.constraint_gain*\n                                grad_constraint_xp_m*\n                                sps.norm.pdf(self.constraint_gain*ff))\n\n        grad_xp = (func_constraint_m*grad_xp + np.sum(ei)*grad_constraint_xp_m)\n\n        return constrained_ei, grad_xp.flatten()\n\n    def grad_optimize_ei_nopend(self, cand, comp, vals, labels, compute_grad=True):\n        # Here we have to compute the gradients for constrained ei\n        # This means deriving through the two kernels, the one for predicting\n        # constraint violations and the one predicting ei\n\n        # First pull out violating points\n        compfull = comp.copy()\n        comp = comp[labels > 0, :]\n        vals = vals[labels > 0]\n\n        # Use standard EI if there aren't enough observations of either\n        # positive or negative constraint violations\n        use_vanilla_ei = (np.all(labels > 0) or np.all(labels <= 0))\n\n        best = np.min(vals)\n        cand = np.reshape(cand, (-1, comp.shape[1]))\n        func_constraint_m = 1\n\n        if (not use_vanilla_ei):\n\n            # First we make predictions for the durations\n            # Compute covariances\n            comp_constraint_cov   = self.cov(self.constraint_amp2,\n                                             self.constraint_ls,\n                                             compfull)\n            cand_constraint_cross = self.cov(self.constraint_amp2,\n                                             self.constraint_ls,\n                                             compfull,cand)\n\n            # Cholesky decompositions\n            obsv_constraint_cov  = (comp_constraint_cov +\n                 self.constraint_noise*np.eye(compfull.shape[0]))\n            obsv_constraint_chol = spla.cholesky(obsv_constraint_cov,lower=True)\n\n            # Linear systems\n            t_alpha  = spla.cho_solve((obsv_constraint_chol, True), self.ff)\n\n            # Predict marginal mean times and (possibly) variances\n            ff = np.dot(cand_constraint_cross.T, t_alpha)\n\n            # Squash through Gaussian cdf\n            func_constraint_m = sps.norm.cdf(self.constraint_gain*ff)\n\n        # Now compute the gradients w.r.t. ei\n        # The primary covariances for prediction.\n        comp_cov   = self.cov(self.amp2, self.ls, comp)\n        cand_cross = self.cov(self.amp2, self.ls, comp, cand)\n        comp_cov_full   = self.cov(self.amp2, self.ls, compfull)\n        cand_cross_full = self.cov(self.amp2, self.ls, compfull, cand)\n\n        # Compute the required Cholesky.\n        obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n        obsv_chol = spla.cholesky(obsv_cov, lower=True)\n        obsv_cov_full  = comp_cov_full + self.noise*np.eye(compfull.shape[0])\n        obsv_chol_full = spla.cholesky( obsv_cov_full, lower=True)\n\n        # Predictive things.\n        # Solve the linear systems.\n        alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n        beta   = spla.solve_triangular(obsv_chol_full, cand_cross_full,\n                                       lower=True)\n\n        # Predict the marginal means and variances at candidates.\n        func_m = np.dot(cand_cross.T, alpha) + self.mean\n        func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n        # Expected improvement\n        func_s = np.sqrt(func_v)\n        u      = (best - func_m) / func_s\n        ncdf   = sps.norm.cdf(u)\n        npdf   = sps.norm.pdf(u)\n        ei     = func_s*(u*ncdf + npdf)\n\n        constrained_ei = -np.sum(ei*func_constraint_m)\n        if not compute_grad:\n            return constrained_ei\n\n        # Gradients of ei w.r.t. mean and variance\n        g_ei_m = -ncdf\n        g_ei_s2 = 0.5*npdf / func_s\n\n        # Apply covariance function\n        cov_grad_func = getattr(gp, 'grad_' + self.cov_func.__name__)\n        cand_cross_grad = cov_grad_func(self.ls, comp, cand)\n        grad_cross = np.squeeze(cand_cross_grad)\n\n        cand_cross_grad_full = cov_grad_func(self.ls, compfull, cand)\n        grad_cross_full = np.squeeze(cand_cross_grad_full)\n\n        grad_xp_m = np.dot(alpha.transpose(),grad_cross)\n        grad_xp_v = np.dot(-2*spla.cho_solve((obsv_chol_full, True),\n                                             cand_cross_full).transpose(),\n                            grad_cross_full)\n\n        grad_xp = 0.5*self.amp2*(grad_xp_m*g_ei_m + grad_xp_v*g_ei_s2)\n\n        if use_vanilla_ei:\n            return -np.sum(ei), grad_xp.flatten()\n\n        # Apply constraint classifier\n        cand_cross_grad = cov_grad_func(self.constraint_ls, compfull, cand)\n        grad_cross_t = np.squeeze(cand_cross_grad)\n\n        grad_constraint_xp_m = np.dot(t_alpha.transpose(),grad_cross_t)\n        grad_constraint_xp_m = (0.5*self.constraint_amp2*\n                                self.constraint_gain*\n                                grad_constraint_xp_m*\n                                sps.norm.pdf(self.constraint_gain*ff))\n\n        grad_xp = (func_constraint_m*grad_xp + ei*grad_constraint_xp_m)\n\n        return constrained_ei, grad_xp.flatten()\n\n\n    def compute_constrained_ei(self, comp, pend, cand, vals, labels):\n        # First we make predictions for the durations as that\n        # doesn't depend on pending experiments\n        # First pull out violating points\n        compfull = comp.copy()\n        comp = comp[labels > 0, :]\n        vals = vals[labels > 0]\n\n        # Use standard EI if there aren't enough observations of either\n        # positive or negative constraint violations\n        if (np.all(labels > 0) or np.all(labels <= 0)):\n            func_constraint_m = 1\n        else:\n            # Compute covariances\n            comp_constraint_cov   = self.cov(self.constraint_amp2,\n                                             self.constraint_ls,\n                                             compfull)\n            cand_constraint_cross = self.cov(self.constraint_amp2,\n                                             self.constraint_ls,\n                                             compfull,cand)\n\n            # Cholesky decompositions\n            obsv_constraint_cov  = (comp_constraint_cov +\n                self.constraint_noise*np.eye(compfull.shape[0]))\n            obsv_constraint_chol = spla.cholesky(\n                obsv_constraint_cov, lower=True)\n\n            # Linear systems\n            t_alpha  = spla.cho_solve((obsv_constraint_chol, True), self.ff)\n            t_beta   = spla.solve_triangular(obsv_constraint_chol,\n                                             cand_constraint_cross, lower=True)\n\n            # Predict marginal mean times and (possibly) variances\n            func_constraint_m = (np.dot(cand_constraint_cross.T, t_alpha))\n\n        # Squash through a probit\n        func_constraint_m = sps.norm.cdf(self.constraint_gain*func_constraint_m)\n        if pend.shape[0] == 0:\n            # If there are no pending, don't do anything fancy.\n            # Current best.\n            best = np.min(vals)\n\n            # The primary covariances for prediction.\n            comp_cov   = self.cov(self.amp2, self.ls, comp)\n            comp_cov_full = self.cov(self.amp2, self.ls, compfull)\n            cand_cross = self.cov(self.amp2, self.ls, comp, cand)\n            cand_cross_full = self.cov(self.amp2, self.ls, compfull, cand)\n\n            # Compute the required Cholesky.\n            obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n            obsv_cov_full  = (comp_cov_full +\n                              self.noise*np.eye(compfull.shape[0]))\n            obsv_chol = spla.cholesky( obsv_cov, lower=True)\n            obsv_chol_full = spla.cholesky( obsv_cov_full, lower=True)\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.solve_triangular(obsv_chol, cand_cross, lower=True)\n            #beta   = spla.solve_triangular(obsv_chol_full, cand_cross_full,\n            #                               lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v)\n            u      = (best - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            constrained_ei = ei*func_constraint_m\n            return constrained_ei\n        else:\n            # If there are pending experiments, fantasize their outcomes.\n\n            # Create a composite vector of complete and pending.\n            comp_pend = np.concatenate((comp, pend))\n\n            # Compute the covariance and Cholesky decomposition.\n            comp_pend_cov  = (self.cov(self.amp2, self.ls, comp_pend) +\n                              self.noise*np.eye(comp_pend.shape[0]))\n            comp_pend_chol = spla.cholesky(comp_pend_cov, lower=True)\n\n            # Compute submatrices.\n            pend_cross = self.cov(self.amp2, self.ls, comp, pend)\n            pend_kappa = self.cov(self.amp2, self.ls, pend)\n\n            # Use the sub-Cholesky.\n            obsv_chol = comp_pend_chol[:comp.shape[0],:comp.shape[0]]\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.cho_solve((obsv_chol, True), pend_cross)\n\n            # Finding predictive means and variances.\n            pend_m = np.dot(pend_cross.T, alpha) + self.mean\n            pend_K = pend_kappa - np.dot(pend_cross.T, beta)\n\n            # Take the Cholesky of the predictive covariance.\n            pend_chol = spla.cholesky(pend_K, lower=True)\n\n            # Make predictions.\n            pend_fant = np.dot(pend_chol, npr.randn(pend.shape[0],\n                               self.pending_samples)) + pend_m[:,None]\n\n            # Include the fantasies.\n            fant_vals = np.concatenate((np.tile(vals[:,np.newaxis],\n                                       (1,self.pending_samples)), pend_fant))\n\n            # Compute bests over the fantasies.\n            bests = np.min(fant_vals, axis=0)\n\n            # Now generalize from these fantasies.\n            cand_cross = self.cov(self.amp2, self.ls, comp_pend, cand)\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((comp_pend_chol, True),\n                                    fant_vals - self.mean)\n            beta   = spla.solve_triangular(comp_pend_chol, cand_cross,\n                                           lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v[:,np.newaxis])\n            u      = (bests[np.newaxis,:] - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            return np.mean(ei, axis=1)*func_constraint_m\n\n    def compute_ei(self, comp, pend, cand, vals, labels):\n        # First we make predictions for the durations as that\n        # doesn't depend on pending experiments\n        # First pull out violating points\n        compfull = comp.copy()\n        comp = comp[labels > 0, :]\n        vals = vals[labels > 0]\n\n        # Compute covariances\n        comp_constraint_cov   = self.cov(self.constraint_amp2,\n                                         self.constraint_ls,\n                                         compfull)\n        cand_constraint_cross = self.cov(self.constraint_amp2,\n                                         self.constraint_ls,\n                                         compfull,cand)\n\n        # Cholesky decompositions\n        obsv_constraint_cov  = (comp_constraint_cov +\n                                self.constraint_noise*np.eye(\n            compfull.shape[0]))\n        obsv_constraint_chol = spla.cholesky( obsv_constraint_cov, lower=True )\n\n        # Linear systems\n        t_alpha  = spla.cho_solve((obsv_constraint_chol, True), self.ff)\n\n        # Predict marginal mean times and (possibly) variances\n        func_constraint_m = (np.dot(cand_constraint_cross.T, t_alpha))\n\n        # Squash through a probit to get prob of not violating a constraint\n        func_constraint_m = 1./(1+np.exp(-self.constraint_gain*\n                                          func_constraint_m))\n\n        if pend.shape[0] == 0:\n            # If there are no pending, don't do anything fancy.\n\n            # Current best.\n            best = np.min(vals)\n\n            # The primary covariances for prediction.\n            comp_cov   = self.cov(self.amp2, self.ls, comp)\n            comp_cov_full = self.cov(self.amp2, self.ls, compfull)\n            cand_cross = self.cov(self.amp2, self.ls, comp, cand)\n            cand_cross_full = self.cov(self.amp2, self.ls, compfull, cand)\n\n            # Compute the required Cholesky.\n            obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n            obsv_cov_full  = (comp_cov_full +\n                              self.noise*np.eye(compfull.shape[0]))\n            obsv_chol = spla.cholesky( obsv_cov, lower=True )\n            obsv_chol_full = spla.cholesky( obsv_cov_full, lower=True )\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.solve_triangular(obsv_chol, cand_cross, lower=True)\n            #beta   = spla.solve_triangular(obsv_chol_full, cand_cross_full,\n                                #lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v)\n            u      = (best - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            return ei\n        else:\n            return 0\n\n    def sample_constraint_hypers(self, comp, labels):\n        # The latent GP projection\n        # The latent GP projection\n        if (self.ff is None or self.ff.shape[0] < comp.shape[0]):\n            self.ff_samples = []\n            comp_cov  = self.cov(self.constraint_amp2, self.constraint_ls, comp)\n            obsv_cov  = comp_cov + 1e-6*np.eye(comp.shape[0])\n            obsv_chol = spla.cholesky(obsv_cov, lower=True)\n            self.ff = np.dot(obsv_chol,npr.randn(obsv_chol.shape[0]))\n\n        self._sample_constraint_noisy(comp, labels)\n        self._sample_constraint_ls(comp, labels)\n        self.constraint_hyper_samples.append((self.constraint_mean,\n                                              self.constraint_gain,\n                                              self.constraint_amp2,\n                                              self.constraint_ls))\n        self.ff_samples.append(self.ff)\n\n    def sample_hypers(self, comp, vals):\n        if self.noiseless:\n            self.noise = 1e-3\n            self._sample_noiseless(comp, vals)\n        else:\n            self._sample_noisy(comp, vals)\n        self._sample_ls(comp, vals)\n\n        self.hyper_samples.append((self.mean, self.noise, self.amp2, self.ls))\n\n    def _sample_ls(self, comp, vals):\n        def logprob(ls):\n            if np.any(ls < 0) or np.any(ls > self.max_ls):\n                return -np.inf\n\n            cov   = (self.amp2 * (self.cov_func(ls, comp, None) +\n                                  1e-6*np.eye(comp.shape[0])) +\n                     self.noise*np.eye(comp.shape[0]))\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - self.mean)\n            lp    = (-np.sum(np.log(np.diag(chol))) -\n                      0.5*np.dot(vals-self.mean, solve))\n            return lp\n\n        self.ls = util.slice_sample(self.ls, logprob, compwise=True)\n\n    def _sample_constraint_ls(self, comp, vals):\n        def lpProbit(ff, gain=self.constraint_gain):\n            probs = sps.norm.cdf(ff*gain)\n            probs[probs <= 0] = 1e-12\n            probs[probs >= 1] = 1-1e-12\n            llh = np.sum(vals*np.log(probs) +\n                         (1-vals)*np.log(1-probs))\n\n            return llh\n\n        def lpSigmoid(ff, gain=self.constraint_gain):\n            probs = 1./(1. + np.exp(-gain*ff));\n            probs[probs <= 0] = 1e-12\n            probs[probs >= 1] = 1-1e-12\n            llh   = np.sum(vals*np.log(probs) + (1-vals)*np.log(1-probs));\n            return llh\n\n        def updateGain(gain):\n            if gain < 0.01 or gain > 10:\n                return -np.inf\n\n            cov   = (self.constraint_amp2 * (self.cov_func(\n                        self.constraint_ls, comp, None) +\n                                             1e-6*np.eye(comp.shape[0])) +\n                     self.constraint_noise*np.eye(comp.shape[0]))\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals)\n            lp   = lpProbit(self.ff, gain)\n\n            return lp\n\n        def logprob(ls):\n            if np.any(ls < 0) or np.any(ls > self.constraint_max_ls):\n                return -np.inf\n\n            cov   = self.constraint_amp2 * (self.cov_func(ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + self.constraint_noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), self.ff)\n            lp   = lpProbit(self.ff)\n\n            return lp\n\n        hypers = util.slice_sample(self.constraint_ls, logprob, compwise=True)\n        self.constraint_ls = hypers\n\n        cov   = self.constraint_amp2 * (self.cov_func(self.constraint_ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + self.constraint_noise*np.eye(comp.shape[0])\n        chol  = spla.cholesky(cov, lower=False)\n        ff = self.ff\n        for jj in range(20):\n            (ff, lpell) = self.elliptical_slice(ff, chol, lpProbit)\n\n        self.ff = ff\n\n        # Update gain\n        hypers = util.slice_sample(np.array([self.constraint_gain]),\n                                   updateGain, compwise=True)\n        self.constraint_gain = hypers[0]\n\n    def _sample_noisy(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = hypers[2]\n\n            # This is pretty hacky, but keeps things sane.\n            if mean > np.max(vals) or mean < np.min(vals):\n                return -np.inf\n\n            if amp2 < 0 or noise < 0:\n                return -np.inf\n\n            cov   = amp2 * ((self.cov_func(self.ls, comp, None) +\n                            1e-6*np.eye(comp.shape[0])) +\n                            noise*np.eye(comp.shape[0]))\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in noise horseshoe prior.\n            lp += np.log(np.log(1 + (self.noise_scale/noise)**2))\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(amp2)/self.amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array(\n                    [self.mean, self.amp2, self.noise]),\n                                   logprob, compwise=False)\n        self.mean  = hypers[0]\n        self.amp2  = hypers[1]\n        self.noise = hypers[2]\n\n    def _sample_constraint_noisy(self, comp, vals):\n        def lpProbit(ff, gain=self.constraint_gain):\n            probs = sps.norm.cdf(ff*gain)\n            probs[probs <= 0] = 1e-12\n            probs[probs >= 1] = 1-1e-12\n            llh = np.sum(vals*np.log(probs) +\n                         (1-vals)*np.log(1-probs))\n            if np.any(np.isnan(probs)):\n                log(probs)\n            return llh\n\n        def lpSigmoid(ff,gain=self.constraint_gain):\n            probs = 1./(1. + np.exp(-gain*ff));\n            probs[probs <= 0] = 1e-12\n            probs[probs >= 1] = 1-1e-12\n            llh   = np.sum(vals*np.log(probs) + (1-vals)*np.log(1-probs));\n            return llh\n\n        def logprob(hypers):\n            amp2  = hypers[0]\n            ff = hypers[1:]\n\n            if amp2 < 0:\n                return -np.inf\n\n            noise = self.constraint_noise\n            cov   = amp2 * (self.cov_func(self.constraint_ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), ff)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(ff, solve)\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(amp2)/self.constraint_amp2_scale)**2\n\n            lp   += lpProbit(ff,self.constraint_gain)\n\n            return lp\n\n        hypers = util.slice_sample(np.hstack((np.array([self.constraint_amp2]),\n                                            self.ff)), logprob, compwise=False)\n        self.constraint_amp2  = hypers[0]\n        self.ff = hypers[1:]\n        cov   = self.constraint_amp2 * ((\n                    self.cov_func(self.constraint_ls, comp, None) +\n                    1e-6*np.eye(comp.shape[0])) +\n                                self.constraint_noise*np.eye(comp.shape[0]))\n        chol  = spla.cholesky(cov, lower=False)\n        ff = self.ff\n        for jj in range(50):\n            (ff, lpell) = self.elliptical_slice(ff, chol, lpProbit)\n        self.ff = ff\n\n    def _sample_noiseless(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = 1e-3\n\n            # This is pretty hacky, but keeps things sane.\n            if mean > np.max(vals) or mean < np.min(vals):\n                return -np.inf\n\n            if amp2 < 0:\n                return -np.inf\n\n            cov   = amp2 * ((self.cov_func(self.ls, comp, None) +\n                             1e-6*np.eye(comp.shape[0])) +\n                            noise*np.eye(comp.shape[0]))\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(amp2)/self.amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array(\n                 [self.mean, self.amp2, self.noise]), logprob, compwise=False)\n        self.mean  = hypers[0]\n        self.amp2  = hypers[1]\n        self.noise = 1e-3\n\n    def elliptical_slice(self, xx, chol_Sigma, log_like_fn, cur_log_like=None,\n                         angle_range=0):\n        D = xx.shape[0]\n\n        if cur_log_like is None:\n            cur_log_like = log_like_fn(xx)\n\n        nu = np.dot(chol_Sigma.T,np.random.randn(D, 1)).flatten()\n        hh = np.log(np.random.rand()) + cur_log_like\n\n        # Set up a bracket of angles and pick a first proposal.\n        # \"phi = (theta'-theta)\" is a change in angle.\n        if angle_range <= 0:\n            # Bracket whole ellipse with both edges at first proposed point\n            phi = np.random.rand()*2*math.pi;\n            phi_min = phi - 2*math.pi;\n            phi_max = phi;\n        else:\n            # Randomly center bracket on current point\n            phi_min = -angle_range*np.random.rand();\n            phi_max = phi_min + angle_range;\n            phi = np.random.rand()*(phi_max - phi_min) + phi_min;\n\n        # Slice sampling loop\n        while True:\n            # Compute xx for proposed angle difference\n            # and check if it's on the slice\n            xx_prop = xx*np.cos(phi) + nu*np.sin(phi);\n\n            cur_log_like = log_like_fn(xx_prop);\n            if cur_log_like > hh:\n                # New point is on slice, ** EXIT LOOP **\n                break;\n\n            # Shrink slice to rejected point\n            if phi > 0:\n                phi_max = phi;\n            elif phi < 0:\n                phi_min = phi;\n            else:\n                raise Exception('BUG DETECTED: Shrunk to current position '\n                                'and still not acceptable.');\n\n            # Propose new angle difference\n            phi = np.random.rand()*(phi_max - phi_min) + phi_min;\n\n        xx = xx_prop;\n        return (xx, cur_log_like)\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/GPEIChooser.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n#\n# This code is written for research and educational purposes only to\n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport os\nfrom .. import gp\nimport sys\nfrom .. import util\nimport tempfile\nimport numpy          as np\nimport numpy.random   as npr\nimport scipy.linalg   as spla\nimport scipy.stats    as sps\nimport scipy.optimize as spo\nimport pickle\n\nfrom ..Locker  import *\nfrom ..helpers import *\n\nimport logging\nlogger = logging.getLogger(__name__)\nlog = logger.debug\n\ndef init(expt_dir, arg_string):\n    args = util.unpack_args(arg_string)\n    return GPEIChooser(expt_dir, **args)\n\n\"\"\"\nChooser module for the Gaussian process expected improvement\nacquisition function.  Candidates are sampled densely in the unit\nhypercube and then the highest EI point is selected.  Slice sampling\nis used to sample Gaussian process hyperparameters for the GP.\n\"\"\"\nclass GPEIChooser:\n\n    def __init__(self, expt_dir, covar=\"Matern52\", mcmc_iters=10,\n                 pending_samples=100, noiseless=False):\n        self.cov_func        = getattr(gp, covar)\n        self.locker          = Locker()\n        self.state_pkl       = os.path.join(expt_dir, self.__module__ + \".pkl\")\n\n        self.mcmc_iters      = int(mcmc_iters)\n        self.pending_samples = pending_samples\n        self.D               = -1\n        self.hyper_iters     = 1\n        self.noiseless       = bool(int(noiseless))\n\n        self.noise_scale = 0.1  # horseshoe prior\n        self.amp2_scale  = 1    # zero-mean log normal prior\n        self.max_ls      = 2    # top-hat prior on length scales\n\n        self.amp2 = None\n        self.ls = None\n        self.noise = None\n        self.mean = None\n\n    def __del__(self):\n        self.locker.lock_wait(self.state_pkl)\n\n        # Write the hyperparameters out to a Pickle.\n        fh = tempfile.NamedTemporaryFile(mode='wb', delete=False)\n        pickle.dump({ 'dims'   : self.D,\n                       'ls'     : self.ls,\n                       'amp2'   : self.amp2,\n                       'noise'  : self.noise,\n                       'mean'   : self.mean },\n                     fh)\n        fh.close()\n\n        # Use an atomic move for better NFS happiness.\n        cmd = 'mv \"%s\" \"%s\"' % (fh.name, self.state_pkl)\n        os.system(cmd) # TODO: Should check system-dependent return status.\n\n        self.locker.unlock(self.state_pkl)\n\n    def _real_init(self, dims, values):\n        self.locker.lock_wait(self.state_pkl)\n\n        if os.path.exists(self.state_pkl):\n            fh    = open(self.state_pkl, 'rb')\n            state = pickle.load(fh)\n            fh.close()\n\n            self.D     = state['dims']\n            self.ls    = state['ls']\n            self.amp2  = state['amp2']\n            self.noise = state['noise']\n            self.mean  = state['mean']\n        else:\n            # Input dimensionality.\n            self.D = dims\n\n            # Initial length scales.\n            self.ls = np.ones(self.D)\n\n            # Initial amplitude.\n            self.amp2 = np.std(values)+1e-4\n\n            # Initial observation noise.\n            self.noise = 1e-3\n\n            # Initial mean.\n            self.mean = np.mean(values)\n\n        self.locker.unlock(self.state_pkl)\n\n    def cov(self, x1, x2=None):\n        if x2 is None:\n            return self.amp2 * (self.cov_func(self.ls, x1, None)\n                               + 1e-6*np.eye(x1.shape[0]))\n        else:\n            return self.amp2 * self.cov_func(self.ls, x1, x2)\n\n    def next(self, grid, values, durations, candidates, pending, complete):\n        # Don't bother using fancy GP stuff at first.\n        if complete.shape[0] < 2:\n            return int(candidates[0])\n\n        # Perform the real initialization.\n        if self.D == -1:\n            self._real_init(grid.shape[1], values[complete])\n\n        # Grab out the relevant sets.\n        comp = grid[complete,:]\n        cand = grid[candidates,:]\n        pend = grid[pending,:]\n        vals = values[complete]\n\n        if self.mcmc_iters > 0:\n            # Sample from hyperparameters.\n\n            overall_ei = np.zeros((cand.shape[0], self.mcmc_iters))\n\n            for mcmc_iter in range(self.mcmc_iters):\n\n                self.sample_hypers(comp, vals)\n                log(\"mean: %f  amp: %f  noise: %f  min_ls: %f  max_ls: %f\"\n                                 % (self.mean, np.sqrt(self.amp2), self.noise, np.min(self.ls), np.max(self.ls)))\n\n                overall_ei[:,mcmc_iter] = self.compute_ei(comp, pend, cand, vals)\n\n            best_cand = np.argmax(np.mean(overall_ei, axis=1))\n\n            return int(candidates[best_cand])\n\n        else:\n            # Optimize hyperparameters\n            try:\n                self.optimize_hypers(comp, vals)\n            except:\n                # Initial length scales.\n                self.ls = np.ones(self.D)\n                # Initial amplitude.\n                self.amp2 = np.std(vals)\n                # Initial observation noise.\n                self.noise = 1e-3\n            log(\"mean: %f  amp: %f  noise: %f  min_ls: %f  max_ls: %f\"\n                             % (self.mean, np.sqrt(self.amp2), self.noise, np.min(self.ls),\n                                np.max(self.ls)))\n\n            ei = self.compute_ei(comp, pend, cand, vals)\n\n            best_cand = np.argmax(ei)\n\n            return int(candidates[best_cand])\n\n    def compute_ei(self, comp, pend, cand, vals):\n        if pend.shape[0] == 0:\n            # If there are no pending, don't do anything fancy.\n\n            # Current best.\n            best = np.min(vals)\n\n            # The primary covariances for prediction.\n            comp_cov   = self.cov(comp)\n            cand_cross = self.cov(comp, cand)\n\n            # Compute the required Cholesky.\n            obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n            obsv_chol = spla.cholesky( obsv_cov, lower=True )\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.solve_triangular(obsv_chol, cand_cross, lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v)\n            u      = (best - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            return ei\n        else:\n            # If there are pending experiments, fantasize their outcomes.\n\n            # Create a composite vector of complete and pending.\n            comp_pend = np.concatenate((comp, pend))\n\n            # Compute the covariance and Cholesky decomposition.\n            comp_pend_cov  = self.cov(comp_pend) + self.noise*np.eye(comp_pend.shape[0])\n            comp_pend_chol = spla.cholesky(comp_pend_cov, lower=True)\n\n            # Compute submatrices.\n            pend_cross = self.cov(comp, pend)\n            pend_kappa = self.cov(pend)\n\n            # Use the sub-Cholesky.\n            obsv_chol = comp_pend_chol[:comp.shape[0],:comp.shape[0]]\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.cho_solve((obsv_chol, True), pend_cross)\n\n            # Finding predictive means and variances.\n            pend_m = np.dot(pend_cross.T, alpha) + self.mean\n            pend_K = pend_kappa - np.dot(pend_cross.T, beta)\n\n            # Take the Cholesky of the predictive covariance.\n            pend_chol = spla.cholesky(pend_K, lower=True)\n\n            # Make predictions.\n            pend_fant = (np.dot(pend_chol, npr.randn(pend.shape[0],self.pending_samples))\n                         + pend_m[:,None])\n\n            # Include the fantasies.\n            fant_vals = np.concatenate((np.tile(vals[:,np.newaxis],\n                                                (1,self.pending_samples)), pend_fant))\n\n            # Compute bests over the fantasies.\n            bests = np.min(fant_vals, axis=0)\n\n            # Now generalize from these fantasies.\n            cand_cross = self.cov(comp_pend, cand)\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((comp_pend_chol, True), fant_vals - self.mean)\n            beta   = spla.solve_triangular(comp_pend_chol, cand_cross, lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v[:,np.newaxis])\n            u      = (bests[np.newaxis,:] - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            return np.mean(ei, axis=1)\n\n    def sample_hypers(self, comp, vals):\n        if self.noiseless:\n            self.noise = 1e-3\n            self._sample_noiseless(comp, vals)\n        else:\n            self._sample_noisy(comp, vals)\n        self._sample_ls(comp, vals)\n\n    def _sample_ls(self, comp, vals):\n        def logprob(ls):\n            if np.any(ls < 0) or np.any(ls > self.max_ls):\n                return -np.inf\n\n            cov   = self.amp2 * (self.cov_func(ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + self.noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - self.mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-self.mean, solve)\n            return lp\n\n        self.ls = util.slice_sample(self.ls, logprob, compwise=True)\n\n    def _sample_noisy(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = hypers[2]\n\n            # This is pretty hacky, but keeps things sane.\n            if mean > np.max(vals) or mean < np.min(vals):\n                return -np.inf\n\n            if amp2 < 0 or noise < 0:\n                return -np.inf\n\n            cov   = amp2 * (self.cov_func(self.ls, comp, None) +\n                            1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in noise horseshoe prior.\n            lp += np.log(np.log(1 + (self.noise_scale/noise)**2))\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(amp2)/self.amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array([self.mean, self.amp2, self.noise]),\n                                   logprob, compwise=False)\n        self.mean  = hypers[0]\n        self.amp2  = hypers[1]\n        self.noise = hypers[2]\n\n    def _sample_noiseless(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = 1e-3\n\n            if amp2 < 0:\n                return -np.inf\n\n            cov   = amp2 * (self.cov_func(self.ls, comp, None) +\n                            1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(amp2)/self.amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array([self.mean, self.amp2, self.noise]), logprob,\n                                   compwise=False)\n        self.mean  = hypers[0]\n        self.amp2  = hypers[1]\n        self.noise = 1e-3\n\n    def optimize_hypers(self, comp, vals):\n        mygp = gp.GP(self.cov_func.__name__)\n        mygp.real_init(comp.shape[1], vals)\n        mygp.optimize_hypers(comp,vals)\n        self.mean = mygp.mean\n        self.ls = mygp.ls\n        self.amp2 = mygp.amp2\n        self.noise = mygp.noise\n\n        # Save hyperparameter samples\n        #self.hyper_samples.append((self.mean, self.noise, self.amp2, self.ls))\n        #self.dump_hypers()\n\n        return\n\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/GPEIOptChooser.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n#\n# This code is written for research and educational purposes only to\n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport os\nfrom .. import gp\nimport sys\nfrom .. import util\nimport tempfile\nimport pickle\nimport copy\nimport numpy          as np\nimport numpy.random   as npr\nimport scipy.linalg   as spla\nimport scipy.stats    as sps\nimport scipy.optimize as spo\nimport multiprocessing\n\nfrom ..helpers import *\nfrom ..Locker  import *\n\nimport logging\nlogger = logging.getLogger(__name__)\nlog = logger.debug\n\ndef optimize_pt(c, b, comp, pend, vals, model):\n    ret = spo.fmin_l_bfgs_b(model.grad_optimize_ei_over_hypers,\n                            c.flatten(), args=(comp, pend, vals),\n                            bounds=b, disp=0)\n    return ret[0]\n\ndef init(expt_dir, arg_string):\n    args = util.unpack_args(arg_string)\n    return GPEIOptChooser(expt_dir, **args)\n\"\"\"\nChooser module for the Gaussian process expected improvement (EI)\nacquisition function where points are sampled densely in the unit\nhypercube and then a subset of the points are optimized to maximize EI\nover hyperparameter samples.  Slice sampling is used to sample\nGaussian process hyperparameters.\n\"\"\"\nclass GPEIOptChooser:\n\n    def __init__(self, expt_dir, covar=\"Matern52\", mcmc_iters=10,\n                 pending_samples=100, noiseless=False, burnin=100,\n                 grid_subset=20, use_multiprocessing=True):\n        self.cov_func        = getattr(gp, covar)\n        self.locker          = Locker()\n        self.state_pkl       = os.path.join(expt_dir, self.__module__ + \".pkl\")\n        self.stats_file      = os.path.join(expt_dir,\n                                   self.__module__ + \"_hyperparameters.txt\")\n        self.mcmc_iters      = int(mcmc_iters)\n        self.burnin          = int(burnin)\n        self.needs_burnin    = True\n        self.pending_samples = int(pending_samples)\n        self.D               = -1\n        self.hyper_iters     = 1\n        # Number of points to optimize EI over\n        self.grid_subset     = int(grid_subset)\n        self.noiseless       = bool(int(noiseless))\n        self.hyper_samples = []\n\n        self.noise_scale = 0.1  # horseshoe prior\n        self.amp2_scale  = 1    # zero-mean log normal prior\n        self.max_ls      = 2    # top-hat prior on length scales\n\n        # If multiprocessing fails or deadlocks, set this to False\n        self.use_multiprocessing = bool(int(use_multiprocessing))\n\n        self.ls = None\n        self.amp2 = None\n        self.mean = None\n        self.noise = None\n\n    def dump_hypers(self):\n        self.locker.lock_wait(self.state_pkl)\n\n        # Write the hyperparameters out to a Pickle.\n        fh = tempfile.NamedTemporaryFile(mode='wb', delete=False)\n        pickle.dump({ 'dims'          : self.D,\n                       'ls'            : self.ls,\n                       'amp2'          : self.amp2,\n                       'noise'         : self.noise,\n                       'hyper_samples' : self.hyper_samples,\n                       'mean'          : self.mean },\n                     fh)\n        fh.close()\n\n        # Use an atomic move for better NFS happiness.\n        cmd = 'mv \"%s\" \"%s\"' % (fh.name, self.state_pkl)\n        os.system(cmd) # TODO: Should check system-dependent return status.\n\n        self.locker.unlock(self.state_pkl)\n\n        # Write the hyperparameters out to a human readable file as well\n        fh    = open(self.stats_file, 'w')\n        fh.write('Mean Noise Amplitude <length scales>\\n')\n        fh.write('-----------ALL SAMPLES-------------\\n')\n        meanhyps = 0*np.hstack(self.hyper_samples[0])\n        for i in self.hyper_samples:\n            hyps = np.hstack(i)\n            meanhyps += (1/float(len(self.hyper_samples)))*hyps\n            for j in hyps:\n                fh.write(str(j) + ' ')\n            fh.write('\\n')\n\n        fh.write('-----------MEAN OF SAMPLES-------------\\n')\n        for j in meanhyps:\n            fh.write(str(j) + ' ')\n        fh.write('\\n')\n        fh.close()\n\n    # This passes out html or javascript to display interesting\n    # stats - such as the length scales (sensitivity to various\n    # dimensions).\n    def generate_stats_html(self):\n        # Need this because the model may not necessarily be\n        # initialized when this code is called.\n        if not self._read_only():\n            return 'Chooser not yet ready to display output'\n\n        mean_mean  = np.mean(np.vstack([h[0] for h in self.hyper_samples]))\n        mean_noise = np.mean(np.vstack([h[1] for h in self.hyper_samples]))\n        mean_ls    = np.mean(np.vstack([h[3][np.newaxis,:] for h in self.hyper_samples]),0)\n\n        try:\n            output = (\n                '<br /><span class=\\\"label label-info\\\">Estimated mean:</span> ' + str(mean_mean) +\n                '<br /><span class=\\\"label label-info\\\">Estimated noise:</span> ' + str(mean_noise) +\n                '<br /><br /><span class=\\\"label label-info\\\">Inverse parameter sensitivity' +\n                ' - Gaussian Process length scales</span><br /><br />' +\n                '<div id=\\\"lschart\\\"></div><script type=\\\"text/javascript\\\">' +\n                'var lsdata = [' + ','.join(['%.2f' % i for i in mean_ls]) + '];')\n        except:\n            return 'Chooser not yet ready to display output.'\n\n        output += ('bar_chart(\"#lschart\", lsdata, ' + str(self.max_ls) + ');' +\n                   '</script>')\n        return output\n\n    # Read in the chooser from file. Returns True only on success\n    def _read_only(self):\n        if os.path.exists(self.state_pkl):\n            fh    = open(self.state_pkl, 'rb')\n            state = pickle.load(fh)\n            fh.close()\n\n            self.D             = state['dims']\n            self.ls            = state['ls']\n            self.amp2          = state['amp2']\n            self.noise         = state['noise']\n            self.mean          = state['mean']\n            self.hyper_samples = state['hyper_samples']\n            self.needs_burnin  = False\n            return True\n\n        return False\n\n    def _real_init(self, dims, values):\n        self.locker.lock_wait(self.state_pkl)\n\n        self.randomstate = npr.get_state()\n        if os.path.exists(self.state_pkl):\n            fh    = open(self.state_pkl, 'r')\n            state = pickle.load(fh)\n            fh.close()\n\n            self.D             = state['dims']\n            self.ls            = state['ls']\n            self.amp2          = state['amp2']\n            self.noise         = state['noise']\n            self.mean          = state['mean']\n            self.hyper_samples = state['hyper_samples']\n            self.needs_burnin  = False\n        else:\n\n            # Input dimensionality.\n            self.D = dims\n\n            # Initial length scales.\n            self.ls = np.ones(self.D)\n\n            # Initial amplitude.\n            self.amp2 = np.std(values)+1e-4\n\n            # Initial observation noise.\n            self.noise = 1e-3\n\n            # Initial mean.\n            self.mean = np.mean(values)\n\n            # Save hyperparameter samples\n            self.hyper_samples.append((self.mean, self.noise, self.amp2,\n                                       self.ls))\n\n        self.locker.unlock(self.state_pkl)\n\n    def cov(self, x1, x2=None):\n        if x2 is None:\n            return self.amp2 * (self.cov_func(self.ls, x1, None)\n                               + 1e-6*np.eye(x1.shape[0]))\n        else:\n            return self.amp2 * self.cov_func(self.ls, x1, x2)\n\n    # Given a set of completed 'experiments' in the unit hypercube with\n    # corresponding objective 'values', pick from the next experiment to\n    # run according to the acquisition function.\n    def next(self, grid, values, durations,\n             candidates, pending, complete):\n\n        # Don't bother using fancy GP stuff at first.\n        if complete.shape[0] < 2:\n            return int(candidates[0])\n\n        # Perform the real initialization.\n        if self.D == -1:\n            self._real_init(grid.shape[1], values[complete])\n\n        # Grab out the relevant sets.\n        comp = grid[complete,:]\n        cand = grid[candidates,:]\n        pend = grid[pending,:]\n        vals = values[complete]\n        numcand = cand.shape[0]\n\n        # Spray a set of candidates around the min so far\n        best_comp = np.argmin(vals)\n        cand2 = np.vstack((np.random.randn(10,comp.shape[1])*0.001 +\n                           comp[best_comp,:], cand))\n\n        if self.mcmc_iters > 0:\n\n            # Possibly burn in.\n            if self.needs_burnin:\n                for mcmc_iter in range(self.burnin):\n                    self.sample_hypers(comp, vals)\n                    log(\"BURN %d/%d] mean: %.2f  amp: %.2f \"\n                                     \"noise: %.4f  min_ls: %.4f  max_ls: %.4f\"\n                                     % (mcmc_iter+1, self.burnin, self.mean,\n                                        np.sqrt(self.amp2), self.noise,\n                                        np.min(self.ls), np.max(self.ls)))\n                self.needs_burnin = False\n\n            # Sample from hyperparameters.\n            # Adjust the candidates to hit ei peaks\n            self.hyper_samples = []\n            for mcmc_iter in range(self.mcmc_iters):\n                self.sample_hypers(comp, vals)\n                log(\"%d/%d] mean: %.2f  amp: %.2f  noise: %.4f \"\n                                 \"min_ls: %.4f  max_ls: %.4f\"\n                                 % (mcmc_iter+1, self.mcmc_iters, self.mean,\n                                    np.sqrt(self.amp2), self.noise,\n                                    np.min(self.ls), np.max(self.ls)))\n            self.dump_hypers()\n\n            b = []# optimization bounds\n            for i in range(0, cand.shape[1]):\n                b.append((0, 1))\n\n            overall_ei = self.ei_over_hypers(comp,pend,cand2,vals)\n            inds = np.argsort(np.mean(overall_ei,axis=1))[-self.grid_subset:]\n            cand2 = cand2[inds,:]\n\n            # Optimize each point in parallel\n            if self.use_multiprocessing:\n                pool = multiprocessing.Pool(self.grid_subset)\n                results = [pool.apply_async(optimize_pt,args=(\n                            c,b,comp,pend,vals,copy.copy(self))) for c in cand2]\n                for res in results:\n                    cand = np.vstack((cand, res.get(1e8)))\n                pool.close()\n            else:\n                # This is old code to optimize each point in parallel.\n                for i in range(0, cand2.shape[0]):\n                    log(\"Optimizing candidate %d/%d\" %\n                        (i+1, cand2.shape[0]))\n                    #self.check_grad_ei(cand2[i,:].flatten(), comp, pend, vals)\n                    ret = spo.fmin_l_bfgs_b(self.grad_optimize_ei_over_hypers,\n                                            cand2[i,:].flatten(), args=(comp,pend,vals),\n                                            bounds=b, disp=0)\n                    cand2[i,:] = ret[0]\n                cand = np.vstack((cand, cand2))\n\n            overall_ei = self.ei_over_hypers(comp,pend,cand,vals)\n            best_cand = np.argmax(np.mean(overall_ei, axis=1))\n\n            if (best_cand >= numcand):\n                return (int(numcand), cand[best_cand,:])\n\n            return int(candidates[best_cand])\n\n        else:\n            # Optimize hyperparameters\n            self.optimize_hypers(comp, vals)\n\n            log(\"mean: %.2f  amp: %.2f  noise: %.4f  \"\n                             \"min_ls: %.4f  max_ls: %.4f\"\n                             % (self.mean, np.sqrt(self.amp2), self.noise,\n                                np.min(self.ls), np.max(self.ls)))\n\n            # Optimize over EI\n            b = []# optimization bounds\n            for i in range(0, cand.shape[1]):\n                b.append((0, 1))\n\n            for i in range(0, cand2.shape[0]):\n                ret = spo.fmin_l_bfgs_b(self.grad_optimize_ei,\n                                        cand2[i,:].flatten(), args=(comp,vals,True),\n                                        bounds=b, disp=0)\n                cand2[i,:] = ret[0]\n            cand = np.vstack((cand, cand2))\n\n            ei = self.compute_ei(comp, pend, cand, vals)\n            best_cand = np.argmax(ei)\n\n            if (best_cand >= numcand):\n                return (int(numcand), cand[best_cand,:])\n\n            return int(candidates[best_cand])\n\n    # Compute EI over hyperparameter samples\n    def ei_over_hypers(self,comp,pend,cand,vals):\n        overall_ei = np.zeros((cand.shape[0], self.mcmc_iters))\n        for mcmc_iter in range(self.mcmc_iters):\n            hyper = self.hyper_samples[mcmc_iter]\n            self.mean = hyper[0]\n            self.noise = hyper[1]\n            self.amp2 = hyper[2]\n            self.ls = hyper[3]\n            overall_ei[:,mcmc_iter] = self.compute_ei(comp, pend, cand,\n                                                      vals)\n        return overall_ei\n\n    def check_grad_ei(self, cand, comp, pend, vals):\n        (ei,dx1) = self.grad_optimize_ei_over_hypers(cand, comp, pend, vals)\n        dx2 = dx1*0\n        idx = np.zeros(cand.shape[0])\n        for i in range(0, cand.shape[0]):\n            idx[i] = 1e-6\n            (ei1,tmp) = self.grad_optimize_ei_over_hypers(cand + idx, comp, pend, vals)\n            (ei2,tmp) = self.grad_optimize_ei_over_hypers(cand - idx, comp, pend, vals)\n            dx2[i] = (ei - ei2)/(2*1e-6)\n            idx[i] = 0\n        print('computed grads', dx1)\n        print('finite diffs', dx2)\n        print(dx1/dx2)\n        print(np.sum((dx1 - dx2)**2))\n        time.sleep(2)\n\n    # Adjust points by optimizing EI over a set of hyperparameter samples\n    def grad_optimize_ei_over_hypers(self, cand, comp, pend, vals, compute_grad=True):\n        summed_ei = 0\n        summed_grad_ei = np.zeros(cand.shape).flatten()\n        ls = self.ls.copy()\n        amp2 = self.amp2\n        mean = self.mean\n        noise = self.noise\n\n        for hyper in self.hyper_samples:\n            self.mean = hyper[0]\n            self.noise = hyper[1]\n            self.amp2 = hyper[2]\n            self.ls = hyper[3]\n            if compute_grad:\n                (ei,g_ei) = self.grad_optimize_ei(cand,comp,pend,vals,compute_grad)\n                summed_grad_ei = summed_grad_ei + g_ei\n            else:\n                ei = self.grad_optimize_ei(cand,comp,pend,vals,compute_grad)\n            summed_ei += ei\n\n        self.mean = mean\n        self.amp2 = amp2\n        self.noise = noise\n        self.ls = ls.copy()\n\n        if compute_grad:\n            return (summed_ei, summed_grad_ei)\n        else:\n            return summed_ei\n\n    # Adjust points based on optimizing their ei\n    def grad_optimize_ei(self, cand, comp, pend, vals, compute_grad=True):\n        if pend.shape[0] == 0:\n            best = np.min(vals)\n            cand = np.reshape(cand, (-1, comp.shape[1]))\n\n            # The primary covariances for prediction.\n            comp_cov   = self.cov(comp)\n            cand_cross = self.cov(comp, cand)\n\n            # Compute the required Cholesky.\n            obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n            obsv_chol = spla.cholesky(obsv_cov, lower=True)\n\n            cov_grad_func = getattr(gp, 'grad_' + self.cov_func.__name__)\n            cand_cross_grad = cov_grad_func(self.ls, comp, cand)\n\n            # Predictive things.\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.solve_triangular(obsv_chol, cand_cross, lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v)\n            u      = (best - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            if not compute_grad:\n                return ei\n\n            # Gradients of ei w.r.t. mean and variance\n            g_ei_m = -ncdf\n            g_ei_s2 = 0.5*npdf / func_s\n\n            # Apply covariance function\n            grad_cross = np.squeeze(cand_cross_grad)\n\n            grad_xp_m = np.dot(alpha.transpose(),grad_cross)\n            grad_xp_v = np.dot(-2*spla.cho_solve(\n                    (obsv_chol, True),cand_cross).transpose(), grad_cross)\n\n            grad_xp = 0.5*self.amp2*(grad_xp_m*g_ei_m + grad_xp_v*g_ei_s2)\n            ei = -np.sum(ei)\n\n            return ei, grad_xp.flatten()\n\n        else:\n            # If there are pending experiments, fantasize their outcomes.\n            cand = np.reshape(cand, (-1, comp.shape[1]))\n\n            # Create a composite vector of complete and pending.\n            comp_pend = np.concatenate((comp, pend))\n\n            # Compute the covariance and Cholesky decomposition.\n            comp_pend_cov  = (self.cov(comp_pend) +\n                              self.noise*np.eye(comp_pend.shape[0]))\n            comp_pend_chol = spla.cholesky(comp_pend_cov, lower=True)\n\n            # Compute submatrices.\n            pend_cross = self.cov(comp, pend)\n            pend_kappa = self.cov(pend)\n\n            # Use the sub-Cholesky.\n            obsv_chol = comp_pend_chol[:comp.shape[0],:comp.shape[0]]\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.cho_solve((obsv_chol, True), pend_cross)\n\n            # Finding predictive means and variances.\n            pend_m = np.dot(pend_cross.T, alpha) + self.mean\n            pend_K = pend_kappa - np.dot(pend_cross.T, beta)\n\n            # Take the Cholesky of the predictive covariance.\n            pend_chol = spla.cholesky(pend_K, lower=True)\n\n            # Make predictions.\n            npr.set_state(self.randomstate)\n            pend_fant = np.dot(pend_chol, npr.randn(pend.shape[0],self.pending_samples)) + pend_m[:,None]\n\n            # Include the fantasies.\n            fant_vals = np.concatenate(\n                (np.tile(vals[:,np.newaxis],\n                         (1,self.pending_samples)), pend_fant))\n\n            # Compute bests over the fantasies.\n            bests = np.min(fant_vals, axis=0)\n\n            # Now generalize from these fantasies.\n            cand_cross = self.cov(comp_pend, cand)\n            cov_grad_func = getattr(gp, 'grad_' + self.cov_func.__name__)\n            cand_cross_grad = cov_grad_func(self.ls, comp_pend, cand)\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((comp_pend_chol, True),\n                                    fant_vals - self.mean)\n            beta   = spla.solve_triangular(comp_pend_chol, cand_cross,\n                                           lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v[:,np.newaxis])\n            u      = (bests[np.newaxis,:] - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            # Gradients of ei w.r.t. mean and variance\n            g_ei_m = -ncdf\n            g_ei_s2 = 0.5*npdf / func_s\n\n            # Apply covariance function\n            # Squeeze can break the 1D case be careful\n            if pend.shape[1] == 1:\n                grad_cross = np.squeeze(cand_cross_grad, axis=(2,))\n            else:\n                grad_cross = np.squeeze(cand_cross_grad)\n\n            grad_xp_m = np.dot(alpha.transpose(),grad_cross)\n            grad_xp_v = np.dot(-2*spla.cho_solve(\n                    (comp_pend_chol, True),cand_cross).transpose(), grad_cross)\n\n            grad_xp = 0.5*self.amp2*(grad_xp_m*np.tile(g_ei_m,(comp.shape[1],1)).T + (grad_xp_v.T*g_ei_s2).T)\n            ei = -np.mean(ei, axis=1)\n            grad_xp = np.mean(grad_xp,axis=0)\n\n            return ei, grad_xp.flatten()\n\n    def compute_ei(self, comp, pend, cand, vals):\n        if pend.shape[0] == 0:\n            # If there are no pending, don't do anything fancy.\n\n            # Current best.\n            best = np.min(vals)\n\n            # The primary covariances for prediction.\n            comp_cov   = self.cov(comp)\n            cand_cross = self.cov(comp, cand)\n\n            # Compute the required Cholesky.\n            obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n            obsv_chol = spla.cholesky( obsv_cov, lower=True )\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.solve_triangular(obsv_chol, cand_cross, lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v)\n            u      = (best - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            return ei\n        else:\n            # If there are pending experiments, fantasize their outcomes.\n\n            # Create a composite vector of complete and pending.\n            comp_pend = np.concatenate((comp, pend))\n\n            # Compute the covariance and Cholesky decomposition.\n            comp_pend_cov  = (self.cov(comp_pend) +\n                              self.noise*np.eye(comp_pend.shape[0]))\n            comp_pend_chol = spla.cholesky(comp_pend_cov, lower=True)\n\n            # Compute submatrices.\n            pend_cross = self.cov(comp, pend)\n            pend_kappa = self.cov(pend)\n\n            # Use the sub-Cholesky.\n            obsv_chol = comp_pend_chol[:comp.shape[0],:comp.shape[0]]\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.cho_solve((obsv_chol, True), pend_cross)\n\n            # Finding predictive means and variances.\n            pend_m = np.dot(pend_cross.T, alpha) + self.mean\n            pend_K = pend_kappa - np.dot(pend_cross.T, beta)\n\n            # Take the Cholesky of the predictive covariance.\n            pend_chol = spla.cholesky(pend_K, lower=True)\n\n            # Make predictions.\n            npr.set_state(self.randomstate)\n            pend_fant = np.dot(pend_chol, npr.randn(pend.shape[0],self.pending_samples)) + pend_m[:,None]\n\n            # Include the fantasies.\n            fant_vals = np.concatenate(\n                (np.tile(vals[:,np.newaxis],\n                         (1,self.pending_samples)), pend_fant))\n\n            # Compute bests over the fantasies.\n            bests = np.min(fant_vals, axis=0)\n\n            # Now generalize from these fantasies.\n            cand_cross = self.cov(comp_pend, cand)\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((comp_pend_chol, True),\n                                    fant_vals - self.mean)\n            beta   = spla.solve_triangular(comp_pend_chol, cand_cross,\n                                           lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v[:,np.newaxis])\n            u      = (bests[np.newaxis,:] - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            return np.mean(ei, axis=1)\n\n    def sample_hypers(self, comp, vals):\n        if self.noiseless:\n            self.noise = 1e-3\n            self._sample_noiseless(comp, vals)\n        else:\n            self._sample_noisy(comp, vals)\n        self._sample_ls(comp, vals)\n        self.hyper_samples.append((self.mean, self.noise, self.amp2, self.ls))\n\n    def _sample_ls(self, comp, vals):\n        def logprob(ls):\n            if np.any(ls < 0) or np.any(ls > self.max_ls):\n                return -np.inf\n\n            cov   = (self.amp2 * (self.cov_func(ls, comp, None) +\n                1e-6*np.eye(comp.shape[0])) + self.noise*np.eye(comp.shape[0]))\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - self.mean)\n            lp    = (-np.sum(np.log(np.diag(chol))) -\n                      0.5*np.dot(vals-self.mean, solve))\n            return lp\n\n        self.ls = util.slice_sample(self.ls, logprob, compwise=True)\n\n    def _sample_noisy(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = hypers[2]\n\n            # This is pretty hacky, but keeps things sane.\n            if mean > np.max(vals) or mean < np.min(vals):\n                return -np.inf\n\n            if amp2 < 0 or noise < 0:\n                return -np.inf\n\n            cov   = (amp2 * (self.cov_func(self.ls, comp, None) +\n                1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0]))\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in noise horseshoe prior.\n            lp += np.log(np.log(1 + (self.noise_scale/noise)**2))\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(np.sqrt(amp2))/self.amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array(\n                [self.mean, self.amp2, self.noise]), logprob, compwise=False)\n        self.mean  = hypers[0]\n        self.amp2  = hypers[1]\n        self.noise = hypers[2]\n\n    def _sample_noiseless(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = 1e-3\n\n            # This is pretty hacky, but keeps things sane.\n            if mean > np.max(vals) or mean < np.min(vals):\n                return -np.inf\n\n            if amp2 < 0:\n                return -np.inf\n\n            cov   = (amp2 * (self.cov_func(self.ls, comp, None) +\n                1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0]))\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(np.sqrt(amp2))/self.amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array(\n                [self.mean, self.amp2, self.noise]), logprob, compwise=False)\n        self.mean  = hypers[0]\n        self.amp2  = hypers[1]\n        self.noise = 1e-3\n\n    def optimize_hypers(self, comp, vals):\n        mygp = gp.GP(self.cov_func.__name__)\n        mygp.real_init(comp.shape[1], vals)\n        mygp.optimize_hypers(comp,vals)\n        self.mean = mygp.mean\n        self.ls = mygp.ls\n        self.amp2 = mygp.amp2\n        self.noise = mygp.noise\n\n        # Save hyperparameter samples\n        self.hyper_samples.append((self.mean, self.noise, self.amp2, self.ls))\n        self.dump_hypers()\n\n        return\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/GPEIperSecChooser.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n#\n# This code is written for research and educational purposes only to\n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport os\nfrom .. import gp\nimport sys\nfrom .. import util\nimport tempfile\nimport numpy          as np\nimport numpy.random   as npr\nimport scipy.linalg   as spla\nimport scipy.stats    as sps\nimport scipy.optimize as spo\nimport pickle\n\nfrom ..helpers import *\nfrom ..Locker  import *\n\nimport logging\nlogger = logging.getLogger(__name__)\nlog = logger.debug\n\ndef init(expt_dir, arg_string):\n    args = util.unpack_args(arg_string)\n    return GPEIperSecChooser(expt_dir, **args)\n\n\"\"\"\nChooser module for the Gaussian process expected improvement per\nsecond (EI) acquisition function.  Candidates are sampled densely in the unit\nhypercube and then a subset of the most promising points are optimized to maximize\nEI per second over hyperparameter samples.  Slice sampling is used to sample\nGaussian process hyperparameters for two GPs, one over the objective function and\nthe other over the running time of the algorithm.\n\"\"\"\nclass GPEIperSecChooser:\n\n    def __init__(self, expt_dir, covar=\"Matern52\", mcmc_iters=10,\n                 pending_samples=100, noiseless=False, burnin=100,\n                 grid_subset=20):\n        self.cov_func        = getattr(gp, covar)\n        self.locker          = Locker()\n        self.state_pkl       = os.path.join(expt_dir, self.__module__ + \".pkl\")\n\n        self.stats_file      = os.path.join(expt_dir,\n                                   self.__module__ + \"_hyperparameters.txt\")\n        self.mcmc_iters      = int(mcmc_iters)\n        self.burnin          = int(burnin)\n        self.needs_burnin    = True\n        self.pending_samples = pending_samples\n        self.D               = -1\n        self.hyper_iters     = 1\n        # Number of points to optimize EI over\n        self.grid_subset     = int(grid_subset)\n        self.noiseless       = bool(int(noiseless))\n        self.hyper_samples = []\n        self.time_hyper_samples = []\n\n        self.noise_scale = 0.1  # horseshoe prior\n        self.amp2_scale  = 1    # zero-mean log normal prior\n        self.max_ls      = 10    # top-hat prior on length scales\n\n        self.time_noise_scale = 0.1  # horseshoe prior\n        self.time_amp2_scale  = 1    # zero-mean log normal prior\n        self.time_max_ls      = 10   # top-hat prior on length scales\n\n        self.ls = None\n        self.amp2 = None\n        self.noise = None\n        self.mean = None\n        self.time_ls = None\n        self.time_amp2 = None\n        self.time_mean = None\n        self.time_noise = None\n\n\n    # A simple function to dump out hyperparameters to allow for a hot start\n    # if the optimization is restarted.\n    def dump_hypers(self):\n        self.locker.lock_wait(self.state_pkl)\n\n        # Write the hyperparameters out to a Pickle.\n        fh = tempfile.NamedTemporaryFile(mode='wb', delete=False)\n        pickle.dump({ 'dims'        : self.D,\n                       'ls'          : self.ls,\n                       'amp2'        : self.amp2,\n                       'noise'       : self.noise,\n                       'mean'        : self.mean,\n                       'time_ls'     : self.time_ls,\n                       'time_amp2'   : self.time_amp2,\n                       'time_noise'  : self.time_noise,\n                       'time_mean'   : self.time_mean },\n                     fh)\n        fh.close()\n\n        # Use an atomic move for better NFS happiness.\n        cmd = 'mv \"%s\" \"%s\"' % (fh.name, self.state_pkl)\n        os.system(cmd) # TODO: Should check system-dependent return status.\n\n        self.locker.unlock(self.state_pkl)\n\n    def _real_init(self, dims, values, durations):\n        self.locker.lock_wait(self.state_pkl)\n\n        if os.path.exists(self.state_pkl):\n            fh    = open(self.state_pkl, 'rb')\n            state = pickle.load(fh)\n            fh.close()\n\n            self.D          = state['dims']\n            self.ls         = state['ls']\n            self.amp2       = state['amp2']\n            self.noise      = state['noise']\n            self.mean       = state['mean']\n            self.time_ls    = state['time_ls']\n            self.time_amp2  = state['time_amp2']\n            self.time_noise = state['time_noise']\n            self.time_mean  = state['time_mean']\n        else:\n\n            # Input dimensionality.\n            self.D = dims\n\n            # Initial length scales.\n            self.ls = np.ones(self.D)\n            self.time_ls = np.ones(self.D)\n\n            # Initial amplitude.\n            self.amp2 = np.std(values)+1e-4\n            self.time_amp2 = np.std(durations)+1e-4\n\n            # Initial observation noise.\n            self.noise = 1e-3\n            self.time_noise = 1e-3\n\n            # Initial mean.\n            self.mean = np.mean(values)\n            self.time_mean = np.mean(np.log(durations))\n\n        self.locker.unlock(self.state_pkl)\n\n    def cov(self, amp2, ls, x1, x2=None):\n        if x2 is None:\n            return amp2 * (self.cov_func(ls, x1, None)\n                           + 1e-6*np.eye(x1.shape[0]))\n        else:\n            return amp2 * self.cov_func(ls, x1, x2)\n\n    # Given a set of completed 'experiments' in the unit hypercube with\n    # corresponding objective 'values', pick from the next experiment to\n    # run according to the acquisition function.\n    def next(self, grid, values, durations,\n             candidates, pending, complete):\n\n        # Don't bother using fancy GP stuff at first.\n        if complete.shape[0] < 2:\n            return int(candidates[0])\n\n        # Perform the real initialization.\n        if self.D == -1:\n            self._real_init(grid.shape[1], values[complete],\n                            durations[complete])\n\n        # Grab out the relevant sets.\n        comp = grid[complete,:]\n        cand = grid[candidates,:]\n        pend = grid[pending,:]\n        vals = values[complete]\n        durs = durations[complete]\n\n        # Bring time into the log domain before we do anything\n        # to maintain strict positivity\n        durs = np.log(durs)\n\n        # Spray a set of candidates around the min so far\n        numcand = cand.shape[0]\n        best_comp = np.argmin(vals)\n        cand2 = np.vstack((np.random.randn(10,comp.shape[1])*0.001 +\n                           comp[best_comp,:], cand))\n\n        if self.mcmc_iters > 0:\n\n            # Possibly burn in.\n            if self.needs_burnin:\n                for mcmc_iter in range(self.burnin):\n                    self.sample_hypers(comp, vals, durs)\n                    log(\"BURN %d/%d] mean: %.2f  amp: %.2f \"\n                                     \"noise: %.4f  min_ls: %.4f  max_ls: %.4f\"\n                                     % (mcmc_iter+1, self.burnin, self.mean,\n                                        np.sqrt(self.amp2), self.noise,\n                                        np.min(self.ls), np.max(self.ls)))\n                self.needs_burnin = False\n\n            # Sample from hyperparameters.\n            # Adjust the candidates to hit ei/sec peaks\n            self.hyper_samples = []\n            for mcmc_iter in range(self.mcmc_iters):\n                self.sample_hypers(comp, vals, durs)\n                log(\"%d/%d] mean: %.2f  amp: %.2f  noise: %.4f \"\n                                 \"min_ls: %.4f  max_ls: %.4f\"\n                                 % (mcmc_iter+1, self.mcmc_iters, self.mean,\n                                    np.sqrt(self.amp2), self.noise,\n                                    np.min(self.ls), np.max(self.ls)))\n\n                log(\"%d/%d] time_mean: %.2fs time_amp: %.2f  time_noise: %.4f \"\n                                 \"time_min_ls: %.4f  time_max_ls: %.4f\"\n                                 % (mcmc_iter+1, self.mcmc_iters, np.exp(self.time_mean),\n                                    np.sqrt(self.time_amp2), np.exp(self.time_noise),\n                                    np.min(self.time_ls), np.max(self.time_ls)))\n            self.dump_hypers()\n\n            # Pick the top candidates to optimize over\n            overall_ei = self.ei_over_hypers(comp,pend,cand2,vals,durs)\n            inds = np.argsort(np.mean(overall_ei, axis=1))[-self.grid_subset:]\n            cand2 = cand2[inds,:]\n\n            # Adjust the candidates to hit ei peaks\n            b = []# optimization bounds\n            for i in range(0, cand.shape[1]):\n                b.append((0, 1))\n\n            for i in range(0, cand2.shape[0]):\n                log(\"Optimizing candidate %d/%d\" %\n                                 (i+1, cand2.shape[0]))\n                ret = spo.fmin_l_bfgs_b(self.grad_optimize_ei_over_hypers,\n                                        cand2[i,:].flatten(),\n                                        args=(comp,vals,durs,True),\n                                        bounds=b, disp=0)\n                cand2[i,:] = ret[0]\n\n            cand = np.vstack((cand, cand2))\n\n            overall_ei = self.ei_over_hypers(comp,pend,cand,vals,durs)\n            best_cand = np.argmax(np.mean(overall_ei, axis=1))\n            self.dump_hypers()\n            if (best_cand >= numcand):\n                return (int(numcand), cand[best_cand,:])\n\n            return int(candidates[best_cand])\n\n        else:\n            # Optimize hyperparameters\n            self.optimize_hypers(comp, vals, durs)\n\n            log(\"mean: %f  amp: %f  noise: %f \"\n                             \"min_ls: %f  max_ls: %f\"\n                             % (self.mean, np.sqrt(self.amp2),\n                                self.noise, np.min(self.ls), np.max(self.ls)))\n\n            # Pick the top candidates to optimize over\n            ei = self.compute_ei_per_s(comp, pend, cand2, vals, durs)\n            inds = np.argsort(np.mean(overall_ei, axis=1))[-self.grid_subset:]\n            cand2 = cand2[inds,:]\n\n            # Adjust the candidates to hit ei peaks\n            b = []# optimization bounds\n            for i in range(0, cand.shape[1]):\n                b.append((0, 1))\n\n            for i in range(0, cand2.shape[0]):\n                log(\"Optimizing candidate %d/%d\" %\n                                 (i+1, cand2.shape[0]))\n                ret = spo.fmin_l_bfgs_b(self.grad_optimize_ei,\n                                        cand2[i,:].flatten(),\n                                        args=(comp,vals,durs,True),\n                                        bounds=b, disp=0)\n                cand2[i,:] = ret[0]\n\n            cand = np.vstack((cand, cand2))\n            ei = self.compute_ei_per_s(comp, pend, cand, vals, durs)\n\n            best_cand = np.argmax(ei)\n            self.dump_hypers()\n\n            if (best_cand >= numcand):\n                return (int(numcand), cand[best_cand,:])\n\n            return int(candidates[best_cand])\n\n    # Compute EI over hyperparameter samples\n    def ei_over_hypers(self,comp,pend,cand,vals,durs):\n        overall_ei = np.zeros((cand.shape[0], self.mcmc_iters))\n        for mcmc_iter in range(self.mcmc_iters):\n            hyper = self.hyper_samples[mcmc_iter]\n            time_hyper = self.time_hyper_samples[mcmc_iter]\n            self.mean = hyper[0]\n            self.noise = hyper[1]\n            self.amp2 = hyper[2]\n            self.ls = hyper[3]\n\n            self.time_mean = time_hyper[0]\n            self.time_noise = time_hyper[1]\n            self.time_amp2 = time_hyper[2]\n            self.time_ls = time_hyper[3]\n\n            overall_ei[:,mcmc_iter] = self.compute_ei_per_s(comp, pend, cand,\n                                                            vals, durs.squeeze())\n\n            return overall_ei\n\n    def check_grad_ei_per(self, cand, comp, vals, durs):\n        (ei,dx1) = self.grad_optimize_ei_over_hypers(cand, comp, vals, durs)\n        dx2 = dx1*0\n        idx = np.zeros(cand.shape[0])\n        for i in range(0, cand.shape[0]):\n            idx[i] = 1e-6\n            (ei1,tmp) = self.grad_optimize_ei_over_hypers(cand + idx, comp, vals, durs)\n            (ei2,tmp) = self.grad_optimize_ei_over_hypers(cand - idx, comp, vals, durs)\n            dx2[i] = (ei - ei2)/(2*1e-6)\n            idx[i] = 0\n        log('computed grads %s'%dx1)\n        log('finite diffs %s'% dx2)\n        log(dx1/dx2)\n        log(np.sum((dx1 - dx2)**2))\n        time.sleep(2)\n\n    # Adjust points by optimizing EI over a set of hyperparameter samples\n    def grad_optimize_ei_over_hypers(self, cand, comp, vals, durs, compute_grad=True):\n        summed_ei = 0\n        summed_grad_ei = np.zeros(cand.shape).flatten()\n\n        for mcmc_iter in range(self.mcmc_iters):\n            hyper = self.hyper_samples[mcmc_iter]\n            time_hyper = self.time_hyper_samples[mcmc_iter]\n            self.mean = hyper[0]\n            self.noise = hyper[1]\n            self.amp2 = hyper[2]\n            self.ls = hyper[3]\n\n            self.time_mean = time_hyper[0]\n            self.time_noise = time_hyper[1]\n            self.time_amp2 = time_hyper[2]\n            self.time_ls = time_hyper[3]\n\n            if compute_grad:\n                (ei,g_ei) = self.grad_optimize_ei(cand,comp,vals,durs,compute_grad)\n                summed_grad_ei = summed_grad_ei + g_ei\n            else:\n                ei = self.grad_optimize_ei(cand,comp,vals,durs,compute_grad)\n\n            summed_ei += ei\n\n        if compute_grad:\n            return (summed_ei, summed_grad_ei)\n        else:\n            return summed_ei\n\n    def grad_optimize_ei(self, cand, comp, vals, durs, compute_grad=True):\n        # Here we have to compute the gradients for ei per second\n        # This means deriving through the two kernels, the one for predicting\n        # time and the one predicting ei\n        best = np.min(vals)\n        cand = np.reshape(cand, (-1, comp.shape[1]))\n\n        # First we make predictions for the durations\n        # Compute covariances\n        comp_time_cov   = self.cov(self.time_amp2, self.time_ls, comp)\n        cand_time_cross = self.cov(self.time_amp2, self.time_ls,comp,cand)\n\n        # Cholesky decompositions\n        obsv_time_cov  = comp_time_cov + self.time_noise*np.eye(comp.shape[0])\n        obsv_time_chol = spla.cholesky( obsv_time_cov, lower=True )\n\n        # Linear systems\n        t_alpha  = spla.cho_solve((obsv_time_chol, True), durs - self.time_mean)\n\n        # Predict marginal mean times and (possibly) variances\n        func_time_m = np.dot(cand_time_cross.T, t_alpha) + self.time_mean\n\n        # We don't really need the time variances now\n        #func_time_v = self.time_amp2*(1+1e-6) - np.sum(t_beta**2, axis=0)\n\n        # Bring time out of the log domain\n        func_time_m = np.exp(func_time_m)\n\n        # Compute derivative of cross-distances.\n        grad_cross_r = gp.grad_dist2(self.time_ls, comp, cand)\n\n        # Apply covariance function\n        cov_grad_func = getattr(gp, 'grad_' + self.cov_func.__name__)\n        cand_cross_grad = cov_grad_func(self.time_ls, comp, cand)\n        grad_cross_t = np.squeeze(cand_cross_grad)\n\n        # Now compute the gradients w.r.t. ei\n        # The primary covariances for prediction.\n        comp_cov   = self.cov(self.amp2, self.ls, comp)\n        cand_cross = self.cov(self.amp2, self.ls, comp, cand)\n\n        # Compute the required Cholesky.\n        obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n        obsv_chol = spla.cholesky( obsv_cov, lower=True )\n\n        cand_cross_grad = cov_grad_func(self.ls, comp, cand)\n\n        # Predictive things.\n        # Solve the linear systems.\n        alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n        beta   = spla.solve_triangular(obsv_chol, cand_cross, lower=True)\n\n        # Predict the marginal means and variances at candidates.\n        func_m = np.dot(cand_cross.T, alpha) + self.mean\n        func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n        # Expected improvement\n        func_s = np.sqrt(func_v)\n        u      = (best - func_m) / func_s\n        ncdf   = sps.norm.cdf(u)\n        npdf   = sps.norm.pdf(u)\n        ei     = func_s*(u*ncdf + npdf)\n\n        ei_per_s = -np.sum(ei/func_time_m)\n        if not compute_grad:\n            return ei\n\n        grad_time_xp_m = np.dot(t_alpha.transpose(),grad_cross_t)\n\n        # Gradients of ei w.r.t. mean and variance\n        g_ei_m = -ncdf\n        g_ei_s2 = 0.5*npdf / func_s\n\n        # Apply covariance function\n        grad_cross = np.squeeze(cand_cross_grad)\n\n        grad_xp_m = np.dot(alpha.transpose(),grad_cross)\n        grad_xp_v = np.dot(-2*spla.cho_solve((obsv_chol, True),\n                                             cand_cross).transpose(),grad_cross)\n\n        grad_xp = 0.5*self.amp2*(grad_xp_m*g_ei_m + grad_xp_v*g_ei_s2)\n        grad_time_xp_m = 0.5*self.time_amp2*grad_time_xp_m*func_time_m\n        grad_xp = (func_time_m*grad_xp - ei*grad_time_xp_m)/(func_time_m**2)\n\n        return ei_per_s, grad_xp.flatten()\n\n    def compute_ei_per_s(self, comp, pend, cand, vals, durs):\n        # First we make predictions for the durations as that\n        # doesn't depend on pending experiments\n\n        # Compute covariances\n        comp_time_cov   = self.cov(self.time_amp2, self.time_ls, comp)\n        cand_time_cross = self.cov(self.time_amp2, self.time_ls,comp,cand)\n\n        # Cholesky decompositions\n        obsv_time_cov  = comp_time_cov + self.time_noise*np.eye(comp.shape[0])\n        obsv_time_chol = spla.cholesky( obsv_time_cov, lower=True )\n\n        # Linear systems\n        t_alpha  = spla.cho_solve((obsv_time_chol, True), durs - self.time_mean)\n        #t_beta   = spla.solve_triangular(obsv_time_chol, cand_time_cross, lower=True)\n\n        # Predict marginal mean times and (possibly) variances\n        func_time_m = np.dot(cand_time_cross.T, t_alpha) + self.time_mean\n        # We don't really need the time variances now\n        #func_time_v = self.time_amp2*(1+1e-6) - np.sum(t_beta**2, axis=0)\n\n        # Bring time out of the log domain\n        func_time_m = np.exp(func_time_m)\n\n        if pend.shape[0] == 0:\n            # If there are no pending, don't do anything fancy.\n\n            # Current best.\n            best = np.min(vals)\n\n            # The primary covariances for prediction.\n            comp_cov   = self.cov(self.amp2, self.ls, comp)\n            cand_cross = self.cov(self.amp2, self.ls, comp, cand)\n\n            # Compute the required Cholesky.\n            obsv_cov  = comp_cov + self.noise*np.eye(comp.shape[0])\n            obsv_chol = spla.cholesky( obsv_cov, lower=True )\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.solve_triangular(obsv_chol, cand_cross, lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v)\n            u      = (best - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            ei_per_s = ei/func_time_m\n            return ei_per_s\n        else:\n            # If there are pending experiments, fantasize their outcomes.\n\n            # Create a composite vector of complete and pending.\n            comp_pend = np.concatenate((comp, pend))\n\n            # Compute the covariance and Cholesky decomposition.\n            comp_pend_cov  = self.cov(self.amp2, self.ls, comp_pend) + self.noise*np.eye(comp_pend.shape[0])\n            comp_pend_chol = spla.cholesky(comp_pend_cov, lower=True)\n\n            # Compute submatrices.\n            pend_cross = self.cov(self.amp2, self.ls, comp, pend)\n            pend_kappa = self.cov(self.amp2, self.ls, pend)\n\n            # Use the sub-Cholesky.\n            obsv_chol = comp_pend_chol[:comp.shape[0],:comp.shape[0]]\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((obsv_chol, True), vals - self.mean)\n            beta   = spla.cho_solve((obsv_chol, True), pend_cross)\n\n            # Finding predictive means and variances.\n            pend_m = np.dot(pend_cross.T, alpha) + self.mean\n            pend_K = pend_kappa - np.dot(pend_cross.T, beta)\n\n            # Take the Cholesky of the predictive covariance.\n            pend_chol = spla.cholesky(pend_K, lower=True)\n\n            # Make predictions.\n            pend_fant = np.dot(pend_chol, npr.randn(pend.shape[0],self.pending_samples)) + pend_m[:,None]\n\n            # Include the fantasies.\n            fant_vals = np.concatenate((np.tile(vals[:,np.newaxis],\n                                                (1,self.pending_samples)), pend_fant))\n\n            # Compute bests over the fantasies.\n            bests = np.min(fant_vals, axis=0)\n\n            # Now generalize from these fantasies.\n            cand_cross = self.cov(self.amp2, self.ls, comp_pend, cand)\n\n            # Solve the linear systems.\n            alpha  = spla.cho_solve((comp_pend_chol, True), fant_vals - self.mean)\n            beta   = spla.solve_triangular(comp_pend_chol, cand_cross, lower=True)\n\n            # Predict the marginal means and variances at candidates.\n            func_m = np.dot(cand_cross.T, alpha) + self.mean\n            func_v = self.amp2*(1+1e-6) - np.sum(beta**2, axis=0)\n\n            # Expected improvement\n            func_s = np.sqrt(func_v[:,np.newaxis])\n            u      = (bests[np.newaxis,:] - func_m) / func_s\n            ncdf   = sps.norm.cdf(u)\n            npdf   = sps.norm.pdf(u)\n            ei     = func_s*( u*ncdf + npdf)\n\n            return np.divide(np.mean(ei, axis=1), func_time_m)\n\n    def sample_hypers(self, comp, vals, durs):\n        if self.noiseless:\n            self.noise = 1e-3\n            self._sample_noiseless(comp, vals)\n        else:\n            self._sample_noisy(comp, vals)\n        self._sample_ls(comp, vals)\n\n        self._sample_time_noisy(comp, durs.squeeze())\n        self._sample_time_ls(comp, durs.squeeze())\n\n        self.hyper_samples.append((self.mean, self.noise, self.amp2, self.ls))\n        self.time_hyper_samples.append((self.time_mean, self.time_noise, self.time_amp2,\n                                        self.time_ls))\n\n    def _sample_ls(self, comp, vals):\n        def logprob(ls):\n            if np.any(ls < 0) or np.any(ls > self.max_ls):\n                return -np.inf\n\n            cov   = self.amp2 * (self.cov_func(ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + self.noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - self.mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-self.mean, solve)\n            return lp\n\n        self.ls = util.slice_sample(self.ls, logprob, compwise=True)\n\n    def _sample_time_ls(self, comp, vals):\n        def logprob(ls):\n            if np.any(ls < 0) or np.any(ls > self.time_max_ls):\n                return -np.inf\n\n            cov   = self.time_amp2 * (self.cov_func(ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + self.time_noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - self.time_mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-self.time_mean, solve)\n            return lp\n\n        self.time_ls = util.slice_sample(self.time_ls, logprob, compwise=True)\n\n    def _sample_noisy(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = hypers[2]\n\n            # This is pretty hacky, but keeps things sane.\n            if mean > np.max(vals) or mean < np.min(vals):\n                return -np.inf\n\n            if amp2 < 0 or noise < 0:\n                return -np.inf\n\n            cov   = amp2 * (self.cov_func(self.ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in noise horseshoe prior.\n            lp += np.log(np.log(1 + (self.noise_scale/noise)**2))\n            #lp -= 0.5*(np.log(noise)/self.noise_scale)**2\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(amp2)/self.amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array([self.mean, self.amp2, self.noise]), logprob, compwise=False)\n        self.mean  = hypers[0]\n        self.amp2  = hypers[1]\n        self.noise = hypers[2]\n\n    def _sample_time_noisy(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = hypers[2]\n\n            # This is pretty hacky, but keeps things sane.\n            if mean > np.max(vals) or mean < np.min(vals):\n                return -np.inf\n\n            if amp2 < 0 or noise < 0:\n                return -np.inf\n\n            cov   = amp2 * (self.cov_func(self.time_ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in noise horseshoe prior.\n            lp += np.log(np.log(1 + (self.time_noise_scale/noise)**2))\n            #lp -= 0.5*(np.log(noise)/self.time_noise_scale)**2\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(np.sqrt(amp2))/self.time_amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array([self.time_mean, self.time_amp2, self.time_noise]), logprob, compwise=False)\n        self.time_mean  = hypers[0]\n        self.time_amp2  = hypers[1]\n        self.time_noise = hypers[2]\n\n    def _sample_noiseless(self, comp, vals):\n        def logprob(hypers):\n            mean  = hypers[0]\n            amp2  = hypers[1]\n            noise = 1e-3\n\n            # This is pretty hacky, but keeps things sane.\n            if mean > np.max(vals) or mean < np.min(vals):\n                return -np.inf\n\n            if amp2 < 0:\n                return -np.inf\n\n            cov   = amp2 * (self.cov_func(self.ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n\n            # Roll in amplitude lognormal prior\n            lp -= 0.5*(np.log(amp2)/self.amp2_scale)**2\n\n            return lp\n\n        hypers = util.slice_sample(np.array([self.mean, self.amp2, self.noise]), logprob, compwise=False)\n        self.mean  = hypers[0]\n        self.amp2  = hypers[1]\n        self.noise = 1e-3\n\n    def optimize_hypers(self, comp, vals, durs):\n        # First the GP to observations\n        mygp = gp.GP(self.cov_func.__name__)\n        mygp.real_init(comp.shape[1], vals)\n        mygp.optimize_hypers(comp,vals)\n        self.mean = mygp.mean\n        self.ls = mygp.ls\n        self.amp2 = mygp.amp2\n        self.noise = mygp.noise\n\n        # Now the GP to times\n        timegp = gp.GP(self.cov_func.__name__)\n        timegp.real_init(comp.shape[1], durs)\n        timegp.optimize_hypers(comp, durs)\n        self.time_mean  = timegp.mean\n        self.time_amp2  = timegp.amp2\n        self.time_noise = timegp.noise\n        self.time_ls    = timegp.ls\n\n        # Save hyperparameter samples\n        self.hyper_samples.append((self.mean, self.noise, self.amp2, self.ls))\n        self.time_hyper_samples.append((self.time_mean, self.time_noise, self.time_amp2,\n                                        self.time_ls))\n        self.dump_hypers()\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/RandomChooser.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n#\n# This code is written for research and educational purposes only to\n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport numpy        as np\nimport numpy.random as npr\n\ndef init(expt_dir, arg_string):\n    return RandomChooser()\n\nclass RandomChooser:\n\n    def __init__(self):\n        pass\n\n    def next(self, grid, values, durations,\n             candidates, pending, complete):\n        return int(candidates[int(np.floor(candidates.shape[0]*npr.rand()))])\n\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/RandomForestEIChooser.py",
    "content": "import numpy        as np\nimport numpy.random as npr\nimport scipy.stats  as sps\nimport sklearn.ensemble\nimport sklearn.ensemble.forest\nfrom .. import util\n\nimport logging\nlogger = logging.getLogger(__name__)\nlog = logger.debug\nfrom sklearn.externals.joblib import Parallel, delayed\n\ndef init(expt_dir, arg_string):\n    args = util.unpack_args(arg_string)\n    return RandomForestEIChooser(**args)\n\nclass RandomForestRegressorWithVariance(sklearn.ensemble.RandomForestRegressor):\n\n    def predict(self,X):\n        # Check data\n        X = np.atleast_2d(X)\n\n        all_y_hat = [ tree.predict(X) for tree in self.estimators_ ]\n\n        # Reduce\n        y_hat = sum(all_y_hat) / self.n_estimators\n        y_var = np.var(all_y_hat,axis=0,ddof=1)\n\n        return y_hat, y_var\n\nclass RandomForestEIChooser:\n\n    def __init__(self,n_trees=50,\n                 max_depth=None,\n                 min_samples_split=1,\n                 max_monkeys=7,\n                 max_features=\"auto\",\n                 n_jobs=1,\n                 random_state=None):\n        self.n_trees = float(n_trees)\n        self.max_depth = max_depth\n        self.min_samples_split = min_samples_split\n        self.max_features = max_features\n        self.n_jobs = float(n_jobs)\n        self.random_state = random_state\n        self.rf = RandomForestRegressorWithVariance(n_estimators=n_trees,\n                                                    max_depth=max_depth,\n                                                    min_samples_split=min_samples_split,\n                                                    max_features=max_features,\n                                                    n_jobs=n_jobs,\n                                                    random_state=random_state)\n\n    def next(self, grid, values, durations,\n             candidates, pending, complete):\n        # Grab out the relevant sets.\n\n        # Don't bother using fancy RF stuff at first.\n        if complete.shape[0] < 2:\n            return int(candidates[0])\n\n        # Grab out the relevant sets.\n        comp = grid[complete,:]\n        cand = grid[candidates,:]\n        pend = grid[pending,:]\n        vals = values[complete]\n\n        self.rf.fit(comp,vals)\n\n        if pend.shape[0] != 0:\n            # Generate fantasies for pending\n            func_m, func_v = self.rf.predict(pend)\n            vals_pend = func_m + np.sqrt(func_v) + npr.randn(func_m.shape[0])\n\n            # Re-fit using fantasies\n            self.rf.fit(np.vstack[comp,pend],np.hstack[vals,vals_pend])\n\n            # Predict the marginal means and variances at candidates.\n        func_m, func_v = self.rf.predict(cand)\n\n        # Current best.\n        best = np.min(vals)\n\n        # Expected improvement\n        func_s = np.sqrt(func_v) + 0.0001\n        u      = (best - func_m) / func_s\n        ncdf   = sps.norm.cdf(u)\n        npdf   = sps.norm.pdf(u)\n        ei     = func_s*( u*ncdf + npdf)\n\n        best_cand = np.argmax(ei)\n        ei.sort()\n\n        return int(candidates[best_cand])\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/SequentialChooser.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n# \n# This code is written for research and educational purposes only to \n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n# \n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n# \n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport numpy as np\n\ndef init(expt_dir, arg_string):\n    return SequentialChooser()\n\nclass SequentialChooser:\n\n    def __init__(self):\n        pass\n\n    def next(self, grid, values, durations,\n             candidates, pending, complete):\n        return int(candidates[0])\n\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/Proposer/spearmint/chooser/cma.py",
    "content": "#!/usr/bin/env python\n\"\"\"Module cma implements the CMA-ES, Covariance Matrix Adaptation Evolution\nStrategy, a stochastic optimizer for robust non-linear non-convex\nderivative-free function minimization for Python versions 2.6, 2.7, 3.x\n(for Python 2.5 class SolutionDict would need to be re-implemented, because\nit depends on collections.MutableMapping, since version 0.91.01).\n\nCMA-ES searches for a minimizer (a solution x in R**n) of an\nobjective function f (cost function), such that f(x) is\nminimal. Regarding f, only function values for candidate solutions\nneed to be available, gradients are not necessary. Even less\nrestrictive, only a passably reliable ranking of the candidate\nsolutions in each iteration is necessary, the function values\nitself do not matter. Some termination criteria however depend\non actual f-values.\n\nTwo interfaces are provided:\n\n  - function `fmin(func, x0, sigma0,...)`\n        runs a complete minimization\n        of the objective function func with CMA-ES.\n\n  - class `CMAEvolutionStrategy`\n      allows for minimization such that the\n      control of the iteration loop remains with the user.\n\n\nUsed packages:\n\n    - unavoidable: `numpy` (see `barecmaes2.py` if `numpy` is not\n      available),\n    - avoidable with small changes: `time`, `sys`\n    - optional: `matplotlib.pylab` (for `plot` etc., highly\n      recommended), `pprint` (pretty print), `pickle` (in class\n      `Sections`), `doctest`, `inspect`, `pygsl` (never by default)\n\nTesting\n-------\nThe code can be tested on a given system. Typing::\n\n    python cma.py --test\n\nor in the Python shell ``ipython -pylab``::\n\n    run cma.py --test\n\nruns ``doctest.testmod(cma)`` showing only exceptions (and not the\ntests that fail due to small differences in the output) and should\nrun without complaints in about under two minutes. On some systems,\nthe pop up windows must be closed manually to continue and finish\nthe test.\n\nInstall\n-------\nThe code can be installed by::\n\n    python cma.py --install\n\nwhich solely calls the ``setup`` function from the ``distutils.core``\npackage for installation.\n\nExample\n-------\n::\n\n    import cma\n    help(cma)  # \"this\" help message, use cma? in ipython\n    help(cma.fmin)\n    help(cma.CMAEvolutionStrategy)\n    help(cma.Options)\n    cma.Options('tol')  # display 'tolerance' termination options\n    cma.Options('verb') # display verbosity options\n    res = cma.fmin(cma.Fcts.tablet, 15 * [1], 1)\n    res[0]  # best evaluated solution\n    res[5]  # mean solution, presumably better with noise\n\n:See: `fmin()`, `Options`, `CMAEvolutionStrategy`\n\n:Author: Nikolaus Hansen, 2008-2012\n\n:License: GPL 2 and 3\n\n\"\"\"\nfrom __future__ import division  # future is >= 3.0, this code has mainly been used with 2.6 & 2.7\nfrom __future__ import with_statement  # only necessary for python 2.5 and not in heavy use\n# from __future__ import collections.MutableMapping # does not exist in future, otherwise 2.5 would work\nfrom __future__ import print_function  # for cross-checking, available from python 2.6\nimport sys\nif sys.version.startswith('3'):  # in python 3.x\n    range = range\n    raw_input = input\n\n__version__ = \"0.92.04 $Revision: 3322 $ $Date: 2012-11-22 18:05:10 +0100 (Thu, 22 Nov 2012) $\"\n#    bash: svn propset svn:keywords 'Date Revision' cma.py\n\n#\n#    This program is free software: you can redistribute it and/or modify\n#    it under the terms of the GNU General Public License as published by\n#    the Free Software Foundation, version 2 or 3.\n#\n#    This program is distributed in the hope that it will be useful,\n#    but WITHOUT ANY WARRANTY; without even the implied warranty of\n#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#    GNU General Public License for more details.\n#\n#    You should have received a copy of the GNU General Public License\n#    along with this program.  If not, see <http://www.gnu.org/licenses/>.\n#\n\n# for testing:\n#   pyflakes cma.py   # finds bugs by static analysis\n#   pychecker --limit 60 cma.py  # also executes, gives 60 warnings (all checked)\n#   python cma.py -t -quiet # executes implemented tests based on doctest\n\n# to create a html documentation file:\n#    pydoc -w cma  # edit the header (remove local pointers)\n#    epydoc cma.py  # comes close to javadoc but does not find the\n#                   # links of function references etc\n#    doxygen needs @package cma as first line in the module docstring\n#       some things like class attributes are not interpreted correctly\n#    sphinx: doc style of doc.python.org, could not make it work\n\n# TODO: make those options that are only used in fmin an error in init of CMA, but still Options() should\n#       work as input to CMA.\n# TODO: add a default logger in CMAEvolutionStrategy, see fmin() and optimize() first\n#        tell() should probably not add data, but optimize() should handle even an after_iteration_handler.\n# TODO: CMAEvolutionStrategy(ones(10), 1).optimize(cma.fcts.elli)  # should work like fmin\n#       one problem: the data logger is not default and seemingly cannot be attached in one line\n# TODO: check combination of boundary handling and transformation: penalty must be computed\n#       on gp.pheno(x_geno, bounds=None), but without bounds, check/remove usage of .geno everywhere\n# TODO: check whether all new solutions are put into self.sent_solutions\n# TODO: separate initialize==reset_state from __init__\n# TODO: introduce Zpos == diffC which makes the code more consistent and the active update \"exact\"\n# TODO: split tell into a variable transformation part and the \"pure\" functionality\n#       usecase: es.tell_geno(X, [func(es.pheno(x)) for x in X])\n#       genotypic repair is not part of tell_geno\n# TODO: read settable \"options\" from a (properties) file, see myproperties.py\n#\n# typical parameters in scipy.optimize: disp, xtol, ftol, maxiter, maxfun, callback=None\n#         maxfev, diag (A sequency of N positive entries that serve as\n#                 scale factors for the variables.)\n#           full_output -- non-zero to return all optional outputs.\n#   If xtol < 0.0, xtol is set to sqrt(machine_precision)\n#    'infot -- a dictionary of optional outputs with the keys:\n#                      'nfev': the number of function calls...\n#\n#    see eg fmin_powell\n# typical returns\n#        x, f, dictionary d\n#        (xopt, {fopt, gopt, Hopt, func_calls, grad_calls, warnflag}, <allvecs>)\n#\n# TODO: keep best ten solutions\n# TODO: implement constraints handling\n# TODO: option full_output -- non-zero to return all optional outputs.\n# TODO: extend function unitdoctest, or use unittest?\n# TODO: implement equal-fitness termination, covered by stagnation?\n# TODO: apply style guide: no capitalizations!?\n# TODO: check and test dispdata()\n# TODO: eigh(): thorough testing would not hurt\n#\n# TODO (later): implement readSignals from a file like properties file (to be called after tell())\n\nimport time  # not really essential\nimport collections, numpy as np # arange, cos, size, eye, inf, dot, floor, outer, zeros, linalg.eigh, sort, argsort, random, ones,...\nfrom numpy import inf, array, dot, exp, log, sqrt, sum   # to access the built-in sum fct:  __builtins__.sum or del sum removes the imported sum and recovers the shadowed\ntry:\n    import matplotlib.pylab as pylab  # also: use ipython -pylab\n    show = pylab.show\n    savefig = pylab.savefig   # we would like to be able to use cma.savefig() etc\n    closefig = pylab.close\nexcept:\n    pylab = None\n    print('  Could not import matplotlib.pylab, therefore ``cma.plot()`` etc. is not available')\n    def show():\n        pass\n\n__docformat__ = \"reStructuredText\"  # this hides some comments entirely?\n\nsys.py3kwarning = True  # TODO: out-comment from version 2.6\n\n# why not package math?\n\n# TODO: check scitools.easyviz and how big the adaptation would be\n\n# changes:\n# 12/10/25: removed useless check_points from fmin interface\n# 12/10/17: bug fix printing number of infeasible samples, moved not-in-use methods\n#           timesCroot and divCroot to the right class\n# 12/10/16 (0.92.00): various changes commit: bug bound[0] -> bounds[0], more_to_write fixed,\n#   sigma_vec introduced, restart from elitist, trace normalization, max(mu,popsize/2)\n#   is used for weight calculation.\n# 12/07/23: (bug:) BoundPenalty.update respects now genotype-phenotype transformation\n# 12/07/21: convert value True for noisehandling into 1 making the output compatible\n# 12/01/30: class Solution and more old stuff removed r3101\n# 12/01/29: class Solution is depreciated, GenoPheno and SolutionDict do the job (v0.91.00, r3100)\n# 12/01/06: CMA_eigenmethod option now takes a function (integer still works)\n# 11/09/30: flat fitness termination checks also history length\n# 11/09/30: elitist option (using method clip_or_fit_solutions)\n# 11/09/xx: method clip_or_fit_solutions for check_points option for all sorts of\n#           injected or modified solutions and even reliable adaptive encoding\n# 11/08/19: fixed: scaling and typical_x type clashes 1 vs array(1) vs ones(dim) vs dim * [1]\n# 11/07/25: fixed: fmin wrote first and last line even with verb_log==0\n#           fixed: method settableOptionsList, also renamed to versatileOptions\n#           default seed depends on time now\n# 11/07/xx (0.9.92): added: active CMA, selective mirrored sampling, noise/uncertainty handling\n#           fixed: output argument ordering in fmin, print now only used as function\n#           removed: parallel option in fmin\n# 11/07/01: another try to get rid of the memory leak by replacing self.unrepaired = self[:]\n# 11/07/01: major clean-up and reworking of abstract base classes and of the documentation,\n#           also the return value of fmin changed and attribute stop is now a method.\n# 11/04/22: bug-fix: option fixed_variables in combination with scaling\n# 11/04/21: stopdict is not a copy anymore\n# 11/04/15: option fixed_variables implemented\n# 11/03/23: bug-fix boundary update was computed even without boundaries\n# 11/03/12: bug-fix of variable annotation in plots\n# 11/02/05: work around a memory leak in numpy\n# 11/02/05: plotting routines improved\n# 10/10/17: cleaning up, now version 0.9.30\n# 10/10/17: bug-fix: return values of fmin now use phenotyp (relevant\n#           if input scaling_of_variables is given)\n# 08/10/01: option evalparallel introduced,\n#           bug-fix for scaling being a vector\n# 08/09/26: option CMAseparable becomes CMA_diagonal\n# 08/10/18: some names change, test functions go into a class\n# 08/10/24: more refactorizing\n# 10/03/09: upper bound exp(min(1,...)) for step-size control\n\n\n# TODO: this would define the visible interface\n# __all__ = ['fmin', 'CMAEvolutionStrategy', 'plot', ...]\n#\n\n\n# emptysets = ('', (), [], {}) # array([]) does not work but also np.size(.) == 0\n# \"x in emptysets\" cannot be well replaced by \"not x\"\n# which is also True for array([]) and None, but also for 0 and False, and False for NaN\n\nuse_sent_solutions = True  # 5-30% CPU slower, particularly for large lambda, will be mandatory soon\n\n#____________________________________________________________\n#____________________________________________________________\n#\ndef unitdoctest():\n    \"\"\"is used to describe test cases and might in future become helpful\n    as an experimental tutorial as well. The main testing feature at the\n    moment is by doctest with ``cma._test()`` or conveniently by\n    ``python cma.py --test``. With the ``--verbose`` option added, the\n    results will always slightly differ and many \"failed\" test cases\n    might be reported.\n\n    A simple first overall test:\n        >>> import cma\n        >>> res = cma.fmin(cma.fcts.elli, 3*[1], 1, CMA_diagonal=2, seed=1, verb_time=0)\n        (3_w,7)-CMA-ES (mu_w=2.3,w_1=58%) in dimension 3 (seed=1)\n           Covariance matrix is diagonal for 2 iterations (1/ccov=7.0)\n        Iterat #Fevals   function value     axis ratio  sigma   minstd maxstd min:sec\n            1       7 1.453161670768570e+04 1.2e+00 1.08e+00  1e+00  1e+00\n            2      14 3.281197961927601e+04 1.3e+00 1.22e+00  1e+00  2e+00\n            3      21 1.082851071704020e+04 1.3e+00 1.24e+00  1e+00  2e+00\n          100     700 8.544042012075362e+00 1.4e+02 3.18e-01  1e-03  2e-01\n          200    1400 5.691152415221861e-12 1.0e+03 3.82e-05  1e-09  1e-06\n          220    1540 3.890107746209078e-15 9.5e+02 4.56e-06  8e-11  7e-08\n        termination on tolfun : 1e-11\n        final/bestever f-value = 3.89010774621e-15 2.52273602735e-15\n        mean solution:  [ -4.63614606e-08  -3.42761465e-10   1.59957987e-11]\n        std deviation: [  6.96066282e-08   2.28704425e-09   7.63875911e-11]\n\n    Test on the Rosenbrock function with 3 restarts. The first trial only\n    finds the local optimum, which happens in about 20% of the cases.\n        >>> import cma\n        >>> res = cma.fmin(cma.fcts.rosen, 4*[-1],1, ftarget=1e-6, restarts=3, verb_time=0, verb_disp=500, seed=3)\n        (4_w,8)-CMA-ES (mu_w=2.6,w_1=52%) in dimension 4 (seed=3)\n        Iterat #Fevals   function value     axis ratio  sigma   minstd maxstd min:sec\n            1       8 4.875315645656848e+01 1.0e+00 8.43e-01  8e-01  8e-01\n            2      16 1.662319948123120e+02 1.1e+00 7.67e-01  7e-01  8e-01\n            3      24 6.747063604799602e+01 1.2e+00 7.08e-01  6e-01  7e-01\n          184    1472 3.701428610430019e+00 4.3e+01 9.41e-07  3e-08  5e-08\n        termination on tolfun : 1e-11\n        final/bestever f-value = 3.70142861043 3.70142861043\n        mean solution:  [-0.77565922  0.61309336  0.38206284  0.14597202]\n        std deviation: [  2.54211502e-08   3.88803698e-08   4.74481641e-08   3.64398108e-08]\n        (8_w,16)-CMA-ES (mu_w=4.8,w_1=32%) in dimension 4 (seed=4)\n        Iterat #Fevals   function value     axis ratio  sigma   minstd maxstd min:sec\n            1    1489 2.011376859371495e+02 1.0e+00 8.90e-01  8e-01  9e-01\n            2    1505 4.157106647905128e+01 1.1e+00 8.02e-01  7e-01  7e-01\n            3    1521 3.548184889359060e+01 1.1e+00 1.02e+00  8e-01  1e+00\n          111    3249 6.831867555502181e-07 5.1e+01 2.62e-02  2e-04  2e-03\n        termination on ftarget : 1e-06\n        final/bestever f-value = 6.8318675555e-07 1.18576673231e-07\n        mean solution:  [ 0.99997004  0.99993938  0.99984868  0.99969505]\n        std deviation: [ 0.00018973  0.00038006  0.00076479  0.00151402]\n        >>> assert res[1] <= 1e-6\n\n    Notice the different termination conditions. Termination on the target\n    function value ftarget prevents further restarts.\n\n    Test of scaling_of_variables option\n        >>> import cma\n        >>> opts = cma.Options()\n        >>> opts['seed'] = 456\n        >>> opts['verb_disp'] = 0\n        >>> opts['CMA_active'] = 1\n        >>> # rescaling of third variable: for searching in  roughly\n        >>> #   x0 plus/minus 1e3*sigma0 (instead of plus/minus sigma0)\n        >>> opts.scaling_of_variables = [1, 1, 1e3, 1]\n        >>> res = cma.fmin(cma.fcts.rosen, 4 * [0.1], 0.1, **opts)\n        termination on tolfun : 1e-11\n        final/bestever f-value = 2.68096173031e-14 1.09714829146e-14\n        mean solution:  [ 1.00000001  1.00000002  1.00000004  1.00000007]\n        std deviation: [  3.00466854e-08   5.88400826e-08   1.18482371e-07   2.34837383e-07]\n\n    The printed std deviations reflect the actual true value (not the one\n    in the internal representation which would be different).\n        >>> import cma\n        >>> r = cma.fmin(cma.fcts.diffpow, 15 * [1], 1, CMA_dampsvec_fac=0.5, ftarget=1e-9)\n        >>> assert(r[1] < 1e-9)\n        >>> assert(r[2] < 13000)  # only passed with CMA_dampsvec_fac\n\n\n\t:See: cma.main(), cma._test()\n\n    \"\"\"\n\n    pass\n\n\n#____________________________________________________________\n#____________________________________________________________\n#\nclass BlancClass(object):\n    \"\"\"blanc container class for having a collection of attributes\"\"\"\n\n#_____________________________________________________________________\n#_____________________________________________________________________\n#\nclass DerivedDictBase(collections.MutableMapping):\n    \"\"\"for conveniently adding features to a dictionary. The actual\n    dictionary is in ``self.data``. Copy-paste\n    and modify setitem, getitem, and delitem, if necessary\"\"\"\n    def __init__(self, *args, **kwargs):\n        # collections.MutableMapping.__init__(self)\n        super(DerivedDictBase, self).__init__()\n        # super(SolutionDict, self).__init__()  # the same\n        self.data = dict(*args, **kwargs)\n    def __len__(self):\n        return len(self.data)\n    def __contains__(self, value):\n        return value in self.data\n    def __iter__(self):\n        return iter(self.data)\n    def __setitem__(self, key, value):\n        \"\"\"defines self[key] = value\"\"\"\n        self.data[key] = value\n    def __getitem__(self, key):\n        \"\"\"defines self[key]\"\"\"\n        return self.data[key]\n    def __delitem__(self, key):\n        del self.data[key]\n\nclass SolutionDict(DerivedDictBase):\n    \"\"\"dictionary with computation of an hash key for the inserted solutions and\n    a stack of previously inserted same solutions.\n    Each entry is meant to store additional information related to the solution.\n\n        >>> import cma, numpy as np\n        >>> d = cma.SolutionDict()\n        >>> x = np.array([1,2,4])\n        >>> d[x] = {'x': x, 'iteration': 1}\n        >>> d.get(x) == (d[x] if d.key(x) in d.keys() else None)\n\n    The last line is always true.\n\n    TODO: data_with_same_key behaves like a stack (see setitem and delitem), but rather should behave like a queue?!\n    A queue is less consistent with the operation self[key] = ..., if self.data_with_same_key[key] is not empty.\n\n    \"\"\"\n    def __init__(self, *args, **kwargs):\n        DerivedDictBase.__init__(self, *args, **kwargs)\n        self.data_with_same_key = {}\n    def key(self, x):\n        try:\n            return tuple(x)\n        except TypeError:\n            return x\n    def __setitem__(self, key, value):\n        \"\"\"defines self[key] = value\"\"\"\n        key = self.key(key)\n        if key in self.data_with_same_key:\n            self.data_with_same_key[key] += [self.data[key]]\n        elif key in self.data:\n            self.data_with_same_key[key] = [self.data[key]]\n        self.data[key] = value\n    def __getitem__(self, key):\n        \"\"\"defines self[key]\"\"\"\n        return self.data[self.key(key)]\n    def __delitem__(self, key):\n        \"\"\"remove only most current key-entry\"\"\"\n        key = self.key(key)\n        if key in self.data_with_same_key:\n            if len(self.data_with_same_key[key]) == 1:\n                self.data[key] = self.data_with_same_key.pop(key)[0]\n            else:\n                self.data[key] = self.data_with_same_key[key].pop(-1)\n        else:\n            del self.data[key]\n    def truncate(self, max_len, min_iter):\n        if len(self) > max_len:\n            for k in list(self.keys()):\n                if self[k]['iteration'] < min_iter:\n                    del self[k]  # only deletes one item with k as key, should delete all?\n\nclass SolutionDictOld(dict):\n    \"\"\"depreciated, SolutionDict should do, to be removed after SolutionDict\n    has been successfully applied.\n    dictionary with computation of an hash key for the inserted solutions and\n    stack of previously inserted same solutions.\n    Each entry is meant to store additional information related to the solution.\n    Methods ``pop`` and ``get`` are modified accordingly.\n\n        d = SolutionDict()\n        x = array([1,2,4])\n        d.insert(x, {'x': x, 'iteration': 1})\n        d.get(x) == d[d.key(x)] if d.key(x) in d.keys() else d.get(x) is None\n\n    TODO: not yet tested\n    TODO: behaves like a stack (see _pop_derived), but rather should behave like a queue?!\n    A queue is less consistent with the operation self[key] = ..., if self.more[key] is not empty.\n\n    \"\"\"\n    def __init__(self):\n        self.more = {}  # previously inserted same solutions\n        self._pop_base = self.pop\n        self.pop = self._pop_derived\n        self._get_base = self.get\n        self.get = self._get_derived\n    def key(self, x):\n        \"\"\"compute the hash key of ``x``\"\"\"\n        return tuple(x)\n    def insert(self, x, datadict):\n        key = self.key(x)\n        if key in self.more:\n            self.more[key] += [self[key]]\n        elif key in self:\n            self.more[key] = [self[key]]\n        self[key] = datadict\n    def _get_derived(self, x, default=None):\n        return self._get_base(self.key(x), default)\n    def _pop_derived(self, x):\n        key = self.key(x)\n        res = self[key]\n        if key in self.more:\n            if len(self.more[key]) == 1:\n                self[key] = self.more.pop(key)[0]\n            else:\n                self[key] = self.more[key].pop(-1)\n        return res\nclass BestSolution(object):\n    \"\"\"container to keep track of the best solution seen\"\"\"\n    def __init__(self, x=None, f=np.inf, evals=None):\n        \"\"\"initialize the best solution with `x`, `f`, and `evals`.\n        Better solutions have smaller `f`-values.\n\n        \"\"\"\n        self.x = x\n        self.x_geno = None\n        self.f = f if f is not None and f is not np.nan else np.inf\n        self.evals = evals\n        self.evalsall = evals\n        self.last = BlancClass()\n        self.last.x = x\n        self.last.f = f\n    def update(self, arx, xarchive=None, arf=None, evals=None):\n        \"\"\"checks for better solutions in list `arx`, based on the smallest\n        corresponding value in `arf`, alternatively, `update` may be called\n        with a `BestSolution` instance like ``update(another_best_solution)``\n        in which case the better solution becomes the current best.\n\n        `xarchive` is used to retrieve the genotype of a solution.\n\n        \"\"\"\n        if arf is not None:  # find failsave minimum\n            minidx = np.nanargmin(arf)\n            if minidx is np.nan:\n                return\n            minarf = arf[minidx]\n            # minarf = reduce(lambda x, y: y if y and y is not np.nan and y < x else x, arf, np.inf)\n        if type(arx) == BestSolution:\n            if self.evalsall is None:\n                self.evalsall = arx.evalsall\n            elif arx.evalsall is not None:\n                self.evalsall = max((self.evalsall, arx.evalsall))\n            if arx.f is not None and arx.f < np.inf:\n                self.update([arx.x], xarchive, [arx.f], arx.evals)\n            return self\n        elif minarf < np.inf and (minarf < self.f or self.f is None):\n            self.x, self.f = arx[minidx], arf[minidx]\n            self.x_geno = xarchive[self.x]['geno'] if xarchive is not None else None\n            self.evals = None if not evals else evals - len(arf) + minidx+1\n            self.evalsall = evals\n        elif evals:\n            self.evalsall = evals\n        self.last.x = arx[minidx]\n        self.last.f = minarf\n    def get(self):\n        \"\"\"return ``(x, f, evals)`` \"\"\"\n        return self.x, self.f, self.evals, self.x_geno\n\n#____________________________________________________________\n#____________________________________________________________\n#\nclass BoundPenalty(object):\n    \"\"\"Computes the boundary penalty. Must be updated each iteration,\n    using the `update` method.\n\n    Details\n    -------\n    The penalty computes like ``sum(w[i] * (x[i]-xfeas[i])**2)``,\n    where `xfeas` is the closest feasible (in-bounds) solution from `x`.\n    The weight `w[i]` should be updated during each iteration using\n    the update method.\n\n    This class uses `GenoPheno.into_bounds` in method `update` to access\n    domain boundary values and repair. This inconsistency is going to be\n    removed in future.\n\n    \"\"\"\n    def __init__(self, bounds=None):\n        \"\"\"Argument bounds can be `None` or ``bounds[0]`` and ``bounds[1]``\n        are lower  and upper domain boundaries, each is either `None` or\n        a scalar or a list or array of appropriate size.\n        \"\"\"\n        ##\n        # bounds attribute reminds the domain boundary values\n        self.bounds = bounds\n\n        self.gamma = 1  # a very crude assumption\n        self.weights_initialized = False  # gamma becomes a vector after initialization\n        self.hist = []  # delta-f history\n\n    def has_bounds(self):\n        \"\"\"return True, if any variable is bounded\"\"\"\n        bounds = self.bounds\n        if bounds in (None, [None, None]):\n            return False\n        for i in range(bounds[0]):\n            if bounds[0][i] is not None and bounds[0][i] > -np.inf:\n                return True\n        for i in range(bounds[1]):\n            if bounds[1][i] is not None and bounds[1][i] < np.inf:\n                return True\n        return False\n\n    def repair(self, x, bounds=None, copy=False, copy_always=False):\n        \"\"\"sets out-of-bounds components of ``x`` on the bounds.\n\n        Arguments\n        ---------\n            `bounds`\n                can be `None`, in which case the \"default\" bounds are used,\n                or ``[lb, ub]``, where `lb` and `ub`\n                represent lower and upper domain bounds respectively that\n                can be `None` or a scalar or a list or array of length ``len(self)``\n\n        code is more or less copy-paste from Solution.repair, but never tested\n\n        \"\"\"\n        # TODO (old data): CPU(N,lam,iter=20,200,100): 3.3s of 8s for two bounds, 1.8s of 6.5s for one bound\n        # TODO: test whether np.max([bounds[0], x], axis=0) etc is speed relevant\n\n        if bounds is None:\n            bounds = self.bounds\n        if copy_always:\n            x_out = array(x, copy=True)\n        if bounds not in (None, [None, None], (None, None)):  # solely for effiency\n            x_out = array(x, copy=True) if copy and not copy_always else x\n            if bounds[0] is not None:\n                if np.isscalar(bounds[0]):\n                    for i in range(len(x)):\n                        x_out[i] = max([bounds[0], x[i]])\n                else:\n                    for i in range(len(x)):\n                        if bounds[0][i] is not None:\n                            x_out[i] = max([bounds[0][i], x[i]])\n            if bounds[1] is not None:\n                if np.isscalar(bounds[1]):\n                    for i in range(len(x)):\n                        x_out[i] = min([bounds[1], x[i]])\n                else:\n                    for i in range(len(x)):\n                        if bounds[1][i] is not None:\n                            x_out[i] = min([bounds[1][i], x[i]])\n        return x_out  # convenience return\n\n    #____________________________________________________________\n    #\n    def __call__(self, x, archive, gp):\n        \"\"\"returns the boundary violation penalty for `x` ,where `x` is a\n        single solution or a list or array of solutions.\n        If `bounds` is not `None`, the values in `bounds` are used, see `__init__`\"\"\"\n        if x in (None, (), []):\n            return x\n        if gp.bounds in (None, [None, None], (None, None)):\n            return 0.0 if np.isscalar(x[0]) else [0.0] * len(x) # no penalty\n\n        x_is_single_vector = np.isscalar(x[0])\n        x = [x] if x_is_single_vector else x\n\n        pen = []\n        for xi in x:\n            # CAVE: this does not work with already repaired values!!\n            # CPU(N,lam,iter=20,200,100)?: 3s of 10s, array(xi): 1s (check again)\n            # remark: one deep copy can be prevented by xold = xi first\n            xpheno = gp.pheno(archive[xi]['geno'])\n            xinbounds = gp.into_bounds(xpheno)\n            fac = 1  # exp(0.1 * (log(self.scal) - np.mean(self.scal)))\n            pen.append(sum(self.gamma * ((xinbounds - xpheno) / fac)**2) / len(xi))\n\n        return pen[0] if x_is_single_vector else pen\n\n    #____________________________________________________________\n    #\n    def feasible_ratio(self, solutions):\n        \"\"\"counts for each coordinate the number of feasible values in\n        ``solutions`` and returns an array of length ``len(solutions[0])``\n        with the ratios.\n\n        `solutions` is a list or array of repaired `Solution` instances\n\n        \"\"\"\n        count = np.zeros(len(solutions[0]))\n        for x in solutions:\n            count += x.unrepaired == x\n        return count / float(len(solutions))\n\n    #____________________________________________________________\n    #\n    def update(self, function_values, es, bounds=None):\n        \"\"\"updates the weights for computing a boundary penalty.\n\n        Arguments\n        ---------\n        `function_values`\n            all function values of recent population of solutions\n        `es`\n            `CMAEvolutionStrategy` object instance, in particular the\n            method `into_bounds` of the attribute `gp` of type `GenoPheno`\n            is used.\n        `bounds`\n            not (yet) in use other than for ``bounds == [None, None]`` nothing\n            is updated.\n\n        Reference: Hansen et al 2009, A Method for Handling Uncertainty...\n        IEEE TEC, with addendum at http://www.lri.fr/~hansen/TEC2009online.pdf\n\n        \"\"\"\n        if bounds is None:\n            bounds = self.bounds\n        if bounds is None or (bounds[0] is None and bounds[1] is None):  # no bounds ==> no penalty\n            return self  # len(function_values) * [0.0]  # case without voilations\n\n        N = es.N\n        ### prepare\n        # compute varis = sigma**2 * C_ii\n        varis = es.sigma**2 * array(N * [es.C] if np.isscalar(es.C) else (  # scalar case\n                                es.C if np.isscalar(es.C[0]) else  # diagonal matrix case\n                                [es.C[i][i] for i in range(N)]))  # full matrix case\n\n        # dmean = (es.mean - es.gp.into_bounds(es.mean)) / varis**0.5\n        dmean = (es.mean - es.gp.geno(es.gp.into_bounds(es.gp.pheno(es.mean)))) / varis**0.5\n\n        ### Store/update a history of delta fitness value\n        fvals = sorted(function_values)\n        l = 1 + len(fvals)\n        val = fvals[3*l // 4] - fvals[l // 4] # exact interquartile range apart interpolation\n        val = val / np.mean(varis)  # new: val is normalized with sigma of the same iteration\n        # insert val in history\n        if np.isfinite(val) and val > 0:\n            self.hist.insert(0, val)\n        elif val == inf and len(self.hist) > 1:\n            self.hist.insert(0, max(self.hist))\n        else:\n            pass  # ignore 0 or nan values\n        if len(self.hist) > 20 + (3*N) / es.popsize:\n            self.hist.pop()\n\n        ### prepare\n        dfit = np.median(self.hist)  # median interquartile range\n        damp = min(1, es.sp.mueff/10./N)\n\n        ### set/update weights\n        # Throw initialization error\n        if len(self.hist) == 0:\n            raise _Error('wrongful initialization, no feasible solution sampled. ' +\n                'Reasons can be mistakenly set bounds (lower bound not smaller than upper bound) or a too large initial sigma0 or... ' +\n                'See description of argument func in help(cma.fmin) or an example handling infeasible solutions in help(cma.CMAEvolutionStrategy). ')\n        # initialize weights\n        if (dmean.any() and (not self.weights_initialized or es.countiter == 2)):  # TODO\n            self.gamma = array(N * [2*dfit])\n            self.weights_initialized = True\n        # update weights gamma\n        if self.weights_initialized:\n            edist = array(abs(dmean) - 3 * max(1, N**0.5/es.sp.mueff))\n            if 1 < 3:  # this is better, around a factor of two\n                # increase single weights possibly with a faster rate than they can decrease\n                #     value unit of edst is std dev, 3==random walk of 9 steps\n                self.gamma *= exp((edist>0) * np.tanh(edist/3) / 2.)**damp\n                # decrease all weights up to the same level to avoid single extremely small weights\n                #    use a constant factor for pseudo-keeping invariance\n                self.gamma[self.gamma > 5 * dfit] *= exp(-1./3)**damp\n                #     self.gamma[idx] *= exp(5*dfit/self.gamma[idx] - 1)**(damp/3)\n            elif 1 < 3 and (edist>0).any():  # previous method\n                # CAVE: min was max in TEC 2009\n                self.gamma[edist>0] *= 1.1**min(1, es.sp.mueff/10./N)\n                # max fails on cigtab(N=12,bounds=[0.1,None]):\n                # self.gamma[edist>0] *= 1.1**max(1, es.sp.mueff/10./N) # this was a bug!?\n                # self.gamma *= exp((edist>0) * np.tanh(edist))**min(1, es.sp.mueff/10./N)\n            else:  # alternative version, but not better\n                solutions = es.pop  # this has not been checked\n                r = self.feasible_ratio(solutions)  # has to be the averaged over N iterations\n                self.gamma *= exp(np.max([N*[0], 0.3 - r], axis=0))**min(1, es.sp.mueff/10/N)\n        es.more_to_write += list(self.gamma) if self.weights_initialized else N * [1.0]\n        ### return penalty\n        # es.more_to_write = self.gamma if not np.isscalar(self.gamma) else N*[1]\n        return self  # bound penalty values\n\n#____________________________________________________________\n#____________________________________________________________\n#\nclass GenoPhenoBase(object):\n    \"\"\"depreciated, abstract base class for genotyp-phenotype transformation,\n    to be implemented.\n\n    See (and rather use) option ``transformation`` of ``fmin`` or ``CMAEvolutionStrategy``.\n\n    Example\n    -------\n    ::\n\n        import cma\n        class Mygpt(cma.GenoPhenoBase):\n            def pheno(self, x):\n                return x  # identity for the time being\n        gpt = Mygpt()\n        optim = cma.CMAEvolutionStrategy(...)\n        while not optim.stop():\n            X = optim.ask()\n            f = [func(gpt.pheno(x)) for x in X]\n            optim.tell(X, f)\n\n    In case of a repair, we might pass the repaired solution into `tell()`\n    (with check_points being True).\n\n    TODO: check usecases in `CMAEvolutionStrategy` and implement option GenoPhenoBase\n\n    \"\"\"\n    def pheno(self, x):\n        raise NotImplementedError()\n        return x\n\n#____________________________________________________________\n#____________________________________________________________\n#\nclass GenoPheno(object):\n    \"\"\"Genotype-phenotype transformation.\n\n    Method `pheno` provides the transformation from geno- to phenotype,\n    that is from the internal representation to the representation used\n    in the objective function. Method `geno` provides the \"inverse\" pheno-\n    to genotype transformation. The geno-phenotype transformation comprises,\n    in this order:\n\n       - insert fixed variables (with the phenotypic and therefore quite\n         possibly \"wrong\" values)\n       - affine linear transformation (scaling and shift)\n       - user-defined transformation\n       - projection into feasible domain (boundaries)\n       - assign fixed variables their original phenotypic value\n\n    By default all transformations are the identity. The boundary\n    transformation is only applied, if the boundaries are given as argument to\n    the method `pheno` or `geno` respectively.\n\n    ``geno`` is not really necessary and might disappear in future.\n\n    \"\"\"\n    def __init__(self, dim, scaling=None, typical_x=None, bounds=None, fixed_values=None, tf=None):\n        \"\"\"return `GenoPheno` instance with fixed dimension `dim`.\n\n        Keyword Arguments\n        -----------------\n            `scaling`\n                the diagonal of a scaling transformation matrix, multipliers\n                in the genotyp-phenotyp transformation, see `typical_x`\n            `typical_x`\n                ``pheno = scaling*geno + typical_x``\n            `bounds` (obsolete, might disappear)\n                list with two elements,\n                lower and upper bounds both can be a scalar or a \"vector\"\n                of length dim or `None`. Without effect, as `bounds` must\n                be given as argument to `pheno()`.\n            `fixed_values`\n                a dictionary of variable indices and values, like ``{0:2.0, 2:1.1}``,\n                that are not subject to change, negative indices are ignored\n                (they act like incommenting the index), values are phenotypic\n                values.\n            `tf`\n                list of two user-defined transformation functions, or `None`.\n\n                ``tf[0]`` is a function that transforms the internal representation\n                as used by the optimizer into a solution as used by the\n                objective function. ``tf[1]`` does the back-transformation.\n                For example ::\n\n                    tf_0 = lambda x: [xi**2 for xi in x]\n                    tf_1 = lambda x: [abs(xi)**0.5 fox xi in x]\n\n                or \"equivalently\" without the `lambda` construct ::\n\n                    def tf_0(x):\n                        return [xi**2 for xi in x]\n                    def tf_1(x):\n                        return [abs(xi)**0.5 fox xi in x]\n\n                ``tf=[tf_0, tf_1]`` is a reasonable way to guaranty that only positive\n                values are used in the objective function.\n\n        Details\n        -------\n        If ``tf_1`` is ommitted, the initial x-value must be given as genotype (as the\n        phenotype-genotype transformation is unknown) and injection of solutions\n        might lead to unexpected results.\n\n        \"\"\"\n        self.N = dim\n        self.bounds = bounds\n        self.fixed_values = fixed_values\n        if tf is not None:\n            self.tf_pheno = tf[0]\n            self.tf_geno = tf[1]  # TODO: should not necessarily be needed\n            # r = np.random.randn(dim)\n            # assert all(tf[0](tf[1](r)) - r < 1e-7)\n            # r = np.random.randn(dim)\n            # assert all(tf[0](tf[1](r)) - r > -1e-7)\n            print(\"WARNING in class GenoPheno: user defined transformations have not been tested thoroughly\")\n        else:\n            self.tf_geno = None\n            self.tf_pheno = None\n\n        if fixed_values:\n            if type(fixed_values) is not dict:\n                raise _Error(\"fixed_values must be a dictionary {index:value,...}\")\n            if max(fixed_values.keys()) >= dim:\n                raise _Error(\"max(fixed_values.keys()) = \" + str(max(fixed_values.keys())) +\n                    \" >= dim=N=\" + str(dim) + \" is not a feasible index\")\n            # convenience commenting functionality: drop negative keys\n            for k in list(fixed_values.keys()):\n                if k < 0:\n                    fixed_values.pop(k)\n        if bounds:\n            if len(bounds) != 2:\n                raise _Error('len(bounds) must be 2 for lower and upper bounds')\n            for i in (0,1):\n                if bounds[i] is not None:\n                    bounds[i] = array(dim * [bounds[i]] if np.isscalar(bounds[i]) else\n                                        [b for b in bounds[i]])\n\n        def vec_is_default(vec, default_val=0):\n            \"\"\"return True if `vec` has the value `default_val`,\n            None or [None] are also recognized as default\"\"\"\n            try:\n                if len(vec) == 1:\n                    vec = vec[0]  # [None] becomes None and is always default\n                else:\n                    return False\n            except TypeError:\n                pass  # vec is a scalar\n\n            if vec is None or vec == array(None) or vec == default_val:\n                return True\n            return False\n\n        self.scales = array(scaling)\n        if vec_is_default(self.scales, 1):\n            self.scales = 1  # CAVE: 1 is not array(1)\n        elif self.scales.shape is not () and len(self.scales) != self.N:\n            raise _Error('len(scales) == ' + str(len(self.scales)) +\n                         ' does not match dimension N == ' + str(self.N))\n\n        self.typical_x = array(typical_x)\n        if vec_is_default(self.typical_x, 0):\n            self.typical_x = 0\n        elif self.typical_x.shape is not () and len(self.typical_x) != self.N:\n            raise _Error('len(typical_x) == ' + str(len(self.typical_x)) +\n                         ' does not match dimension N == ' + str(self.N))\n\n        if (self.scales is 1 and\n                self.typical_x is 0 and\n                self.bounds in (None, [None, None]) and\n                self.fixed_values is None and\n                self.tf_pheno is None):\n            self.isidentity = True\n        else:\n            self.isidentity = False\n\n    def into_bounds(self, y, bounds=None, copy_never=False, copy_always=False):\n        \"\"\"Argument `y` is a phenotypic vector,\n        return `y` put into boundaries, as a copy iff ``y != into_bounds(y)``.\n\n        Note: this code is duplicated in `Solution.repair` and might\n        disappear in future.\n\n        \"\"\"\n        bounds = bounds if bounds is not None else self.bounds\n        if bounds in (None, [None, None]):\n            return y if not copy_always else array(y, copy=True)\n        if bounds[0] is not None:\n            if len(bounds[0]) not in (1, len(y)):\n                raise ValueError('len(bounds[0]) = ' + str(len(bounds[0])) +\n                                 ' and len of initial solution (' + str(len(y)) + ') disagree')\n            if copy_never:  # is rather slower\n                for i in range(len(y)):\n                    y[i] = max(bounds[0][i], y[i])\n            else:\n                y = np.max([bounds[0], y], axis=0)\n        if bounds[1] is not None:\n            if len(bounds[1]) not in (1, len(y)):\n                raise ValueError('len(bounds[1]) = ' + str(len(bounds[1])) +\n                                    ' and initial solution (' + str(len(y)) + ') disagree')\n            if copy_never:\n                for i in range(len(y)):\n                    y[i] = min(bounds[1][i], y[i])\n            else:\n                y = np.min([bounds[1], y], axis=0)\n        return y\n\n    def pheno(self, x, bounds=None, copy=True, copy_always=False):\n        \"\"\"maps the genotypic input argument into the phenotypic space,\n        boundaries are only applied if argument ``bounds is not None``, see\n        help for class `GenoPheno`\n\n        \"\"\"\n        if copy_always and not copy:\n            raise ValueError('arguments copy_always=' + str(copy_always) +\n                             ' and copy=' + str(copy) + ' have inconsistent values')\n        if self.isidentity and bounds in (None, [None, None], (None, None)):\n            return x if not copy_always else array(x, copy=copy_always)\n\n        if self.fixed_values is None:\n            y = array(x, copy=copy)  # make a copy, in case\n        else:  # expand with fixed values\n            y = list(x)  # is a copy\n            for i in sorted(self.fixed_values.keys()):\n                y.insert(i, self.fixed_values[i])\n            y = array(y, copy=False)\n\n        if self.scales is not 1:  # just for efficiency\n            y *= self.scales\n\n        if self.typical_x is not 0:\n            y += self.typical_x\n\n        if self.tf_pheno is not None:\n            y = array(self.tf_pheno(y), copy=False)\n\n        if bounds is not None:\n            y = self.into_bounds(y, bounds)\n\n        if self.fixed_values is not None:\n            for i, k in list(self.fixed_values.items()):\n                y[i] = k\n\n        return y\n\n    def geno(self, y, bounds=None, copy=True, copy_always=False, archive=None):\n        \"\"\"maps the phenotypic input argument into the genotypic space.\n        If `bounds` are given, first `y` is projected into the feasible\n        domain. In this case ``copy==False`` leads to a copy.\n\n        by default a copy is made only to prevent to modify ``y``\n\n        method geno is only needed if external solutions are injected\n        (geno(initial_solution) is depreciated and will disappear)\n\n        TODO: arg copy=True should become copy_never=False\n\n        \"\"\"\n        if archive is not None and bounds is not None:\n            try:\n                return archive[y]['geno']\n            except:\n                pass\n\n        x = array(y, copy=(copy and not self.isidentity) or copy_always)\n\n        # bounds = self.bounds if bounds is None else bounds\n        if bounds is not None:  # map phenotyp into bounds first\n            x = self.into_bounds(x, bounds)\n\n        if self.isidentity:\n            return x\n\n        # user-defined transformation\n        if self.tf_geno is not None:\n            x = array(self.tf_geno(x), copy=False)\n        else:\n            _Error('t1 of options transformation was not defined but is needed as being the inverse of t0')\n\n        # affine-linear transformation: shift and scaling\n        if self.typical_x is not 0:\n            x -= self.typical_x\n        if self.scales is not 1:  # just for efficiency\n            x /= self.scales\n\n        # kick out fixed_values\n        if self.fixed_values is not None:\n            # keeping the transformed values does not help much\n            # therefore it is omitted\n            if 1 < 3:\n                keys = sorted(self.fixed_values.keys())\n                x = array([x[i] for i in range(len(x)) if i not in keys], copy=False)\n            else:  # TODO: is this more efficient?\n                x = list(x)\n                for key in sorted(list(self.fixed_values.keys()), reverse=True):\n                    x.remove(key)\n                x = array(x, copy=False)\n        return x\n#____________________________________________________________\n#____________________________________________________________\n# check out built-in package abc: class ABCMeta, abstractmethod, abstractproperty...\n# see http://docs.python.org/whatsnew/2.6.html PEP 3119 abstract base classes\n#\nclass OOOptimizer(object):\n    \"\"\"\"abstract\" base class for an OO optimizer interface with methods\n    `__init__`, `ask`, `tell`, `stop`, `result`, and `optimize`. Only\n    `optimize` is fully implemented in this base class.\n\n    Examples\n    --------\n    All examples minimize the function `elli`, the output is not shown.\n    (A preferred environment to execute all examples is ``ipython -pylab``.)\n    First we need ::\n\n        from cma import CMAEvolutionStrategy, CMADataLogger  # CMAEvolutionStrategy derives from the OOOptimizer class\n        elli = lambda x: sum(1e3**((i-1.)/(len(x)-1.)*x[i])**2 for i in range(len(x)))\n\n    The shortest example uses the inherited method `OOOptimizer.optimize()`::\n\n        res = CMAEvolutionStrategy(8 * [0.1], 0.5).optimize(elli)\n\n    The input parameters to `CMAEvolutionStrategy` are specific to this\n    inherited class. The remaining functionality is based on interface\n    defined by `OOOptimizer`. We might have a look at the result::\n\n        print(res[0])  # best solution and\n        print(res[1])  # its function value\n\n    `res` is the return value from method\n    `CMAEvolutionStrategy.result()` appended with `None` (no logger).\n    In order to display more exciting output we rather do ::\n\n        logger = CMADataLogger()  # derives from the abstract BaseDataLogger class\n        res = CMAEvolutionStrategy(9 * [0.5], 0.3).optimize(elli, logger)\n        logger.plot()  # if matplotlib is available, logger == res[-1]\n\n    or even shorter ::\n\n        res = CMAEvolutionStrategy(9 * [0.5], 0.3).optimize(elli, CMADataLogger())\n        res[-1].plot()  # if matplotlib is available\n\n    Virtually the same example can be written with an explicit loop\n    instead of using `optimize()`. This gives the necessary insight into\n    the `OOOptimizer` class interface and gives entire control over the\n    iteration loop::\n\n        optim = CMAEvolutionStrategy(9 * [0.5], 0.3)  # a new CMAEvolutionStrategy instance calling CMAEvolutionStrategy.__init__()\n        logger = CMADataLogger(optim)  # get a logger instance\n\n        # this loop resembles optimize()\n        while not optim.stop(): # iterate\n            X = optim.ask()     # get candidate solutions\n            f = [elli(x) for x in X]  # evaluate solutions\n            #  maybe do something else that needs to be done\n            optim.tell(X, f)    # do all the real work: prepare for next iteration\n            optim.disp(20)      # display info every 20th iteration\n            logger.add()        # log another \"data line\"\n\n        # final output\n        print('termination by', optim.stop())\n        print('best f-value =', optim.result()[1])\n        print('best solution =', optim.result()[0])\n        logger.plot()  # if matplotlib is available\n        raw_input('press enter to continue')  # prevents exiting and closing figures\n\n    Details\n    -------\n    Most of the work is done in the method `tell(...)`. The method `result()` returns\n    more useful output.\n\n    \"\"\"\n    def __init__(self, xstart, **more_args):\n        \"\"\"``xstart`` is a mandatory argument\"\"\"\n        self.xstart = xstart\n        self.more_args = more_args\n        self.initialize()\n    def initialize(self):\n        \"\"\"(re-)set to the initial state\"\"\"\n        self.countiter = 0\n        self.xcurrent = self.xstart[:]\n        raise NotImplementedError('method initialize() must be implemented in derived class')\n    def ask(self):\n        \"\"\"abstract method, AKA \"get\" or \"sample_distribution\", deliver new candidate solution(s), a list of \"vectors\"\n        \"\"\"\n        raise NotImplementedError('method ask() must be implemented in derived class')\n    def tell(self, solutions, function_values):\n        \"\"\"abstract method, AKA \"update\", prepare for next iteration\"\"\"\n        self.countiter += 1\n        raise NotImplementedError('method tell() must be implemented in derived class')\n    def stop(self):\n        \"\"\"abstract method, return satisfied termination conditions in a dictionary like\n        ``{'termination reason': value, ...}``, for example ``{'tolfun': 1e-12}``, or the empty\n        dictionary ``{}``. The implementation of `stop()` should prevent an infinite loop.\n        \"\"\"\n        raise NotImplementedError('method stop() is not implemented')\n    def disp(self, modulo=None):\n        \"\"\"abstract method, display some iteration infos if ``self.iteration_counter % modulo == 0``\"\"\"\n        raise NotImplementedError('method disp() is not implemented')\n    def result(self):\n        \"\"\"abstract method, return ``(x, f(x), ...)``, that is, the minimizer, its function value, ...\"\"\"\n        raise NotImplementedError('method result() is not implemented')\n\n    def optimize(self, objectivefct, logger=None, verb_disp=20, iterations=None):\n        \"\"\"find minimizer of `objectivefct` by iterating over `OOOptimizer` `self`\n        with verbosity `verb_disp`, using `BaseDataLogger` `logger` with at\n        most `iterations` iterations. ::\n\n            return self.result() + (self.stop(), self, logger)\n\n        Example\n        -------\n        >>> import cma\n        >>> res = cma.CMAEvolutionStrategy(7 * [0.1], 0.5).optimize(cma.fcts.rosen, cma.CMADataLogger(), 100)\n        (4_w,9)-CMA-ES (mu_w=2.8,w_1=49%) in dimension 7 (seed=630721393)\n        Iterat #Fevals   function value     axis ratio  sigma   minstd maxstd min:sec\n            1       9 3.163954777181882e+01 1.0e+00 4.12e-01  4e-01  4e-01 0:0.0\n            2      18 3.299006223906629e+01 1.0e+00 3.60e-01  3e-01  4e-01 0:0.0\n            3      27 1.389129389866704e+01 1.1e+00 3.18e-01  3e-01  3e-01 0:0.0\n          100     900 2.494847340045985e+00 8.6e+00 5.03e-02  2e-02  5e-02 0:0.3\n          200    1800 3.428234862999135e-01 1.7e+01 3.77e-02  6e-03  3e-02 0:0.5\n          300    2700 3.216640032470860e-04 5.6e+01 6.62e-03  4e-04  9e-03 0:0.8\n          400    3600 6.155215286199821e-12 6.6e+01 7.44e-06  1e-07  4e-06 0:1.1\n          438    3942 1.187372505161762e-14 6.0e+01 3.27e-07  4e-09  9e-08 0:1.2\n          438    3942 1.187372505161762e-14 6.0e+01 3.27e-07  4e-09  9e-08 0:1.2\n        ('termination by', {'tolfun': 1e-11})\n        ('best f-value =', 1.1189867885201275e-14)\n        ('solution =', array([ 1.        ,  1.        ,  1.        ,  0.99999999,  0.99999998,\n                0.99999996,  0.99999992]))\n        >>> print(res[0])\n        [ 1.          1.          1.          0.99999999  0.99999998  0.99999996\n          0.99999992]\n\n        \"\"\"\n        if logger is None:\n            if hasattr(self, 'logger'):\n                logger = self.logger\n\n        citer = 0\n        while not self.stop():\n            if iterations is not None and citer >= iterations:\n                return self.result()\n            citer += 1\n\n            X = self.ask()         # deliver candidate solutions\n            fitvals = [objectivefct(x) for x in X]\n            self.tell(X, fitvals)  # all the work is done here\n\n            self.disp(verb_disp)\n            logger.add(self) if logger else None\n\n        logger.add(self, modulo=bool(logger.modulo)) if logger else None\n        if verb_disp:\n            self.disp(1)\n        if verb_disp in (1, True):\n            print('termination by', self.stop())\n            print('best f-value =', self.result()[1])\n            print('solution =', self.result()[0])\n\n        return self.result() + (self.stop(), self, logger)\n\n#____________________________________________________________\n#____________________________________________________________\n#\nclass CMAEvolutionStrategy(OOOptimizer):\n    \"\"\"CMA-ES stochastic optimizer class with ask-and-tell interface.\n\n    See `fmin` for the one-line-call functional interface.\n\n    Calling sequence\n    ================\n    ``optim = CMAEvolutionStrategy(x0, sigma0, opts)``\n    returns a class instance.\n\n    Arguments\n    ---------\n        `x0`\n            initial solution, starting point (phenotype).\n        `sigma0`\n            initial standard deviation.  The problem\n            variables should have been scaled, such that a single\n            standard deviation on all variables is useful and the\n            optimum is expected to lie within about `x0` +- ``3*sigma0``.\n            See also options `scaling_of_variables`.\n            Often one wants to check for solutions close to the initial\n            point. This allows for an easier check for consistency of\n            the objective function and its interfacing with the optimizer.\n            In this case, a much smaller `sigma0` is advisable.\n        `opts`\n            options, a dictionary with optional settings,\n            see class `Options`.\n\n    Main interface / usage\n    ======================\n    The ask-and-tell interface is inherited from the generic `OOOptimizer`\n    interface for iterative optimization algorithms (see there). With ::\n\n        optim = CMAEvolutionStrategy(8 * [0.5], 0.2)\n\n    an object instance is generated. In each iteration ::\n\n        solutions = optim.ask()\n\n    is used to ask for new candidate solutions (possibly several times) and ::\n\n        optim.tell(solutions, func_values)\n\n    passes the respective function values to `optim`. Instead of `ask()`,\n    the class `CMAEvolutionStrategy` also provides ::\n\n        (solutions, func_values) = optim.ask_and_eval(objective_func)\n\n    Therefore, after initialization, an entire optimization can be written\n    in two lines like ::\n\n        while not optim.stop():\n            optim.tell(*optim.ask_and_eval(objective_func))\n\n    Without the freedom of executing additional lines within the iteration,\n    the same reads in a single line as ::\n\n        optim.optimize(objective_func)\n\n    Besides for termination criteria, in CMA-ES only\n    the ranks of the `func_values` are relevant.\n\n    Attributes and Properties\n    =========================\n        - `inputargs` -- passed input arguments\n        - `inopts` -- passed options\n        - `opts` -- actually used options, some of them can be changed any\n          time, see class `Options`\n        - `popsize` -- population size lambda, number of candidate solutions\n          returned by `ask()`\n\n    Details\n    =======\n    The following two enhancements are turned off by default.\n\n    **Active CMA** is implemented with option ``CMA_active`` and conducts\n    an update of the covariance matrix with negative weights. The\n    exponential update is implemented, where from a mathematical\n    viewpoint positive definiteness is guarantied. The update is applied\n    after the default update and only before the covariance matrix is\n    decomposed, which limits the additional computational burden to be\n    at most a factor of three (typically smaller). A typical speed up\n    factor (number of f-evaluations) is between 1.1 and two.\n\n    References: Jastrebski and Arnold, CEC 2006, Glasmachers et al, GECCO 2010.\n\n    **Selective mirroring** is implemented with option ``CMA_mirrors`` in\n    the method ``get_mirror()``. Only the method `ask_and_eval()` will\n    then sample selectively mirrored vectors. In selective mirroring, only\n    the worst solutions are mirrored. With the default small number of mirrors,\n    *pairwise selection* (where at most one of the two mirrors contribute to the\n    update of the distribution mean) is implicitely guarantied under selective\n    mirroring and therefore not explicitly implemented.\n\n    References: Brockhoff et al, PPSN 2010, Auger et al, GECCO 2011.\n\n    Examples\n    ========\n    Super-short example, with output shown:\n\n    >>> import cma\n    >>> # construct an object instance in 4-D, sigma0=1\n    >>> es = cma.CMAEvolutionStrategy(4 * [1], 1, {'seed':234})\n    (4_w,8)-CMA-ES (mu_w=2.6,w_1=52%) in dimension 4 (seed=234)\n    >>>\n    >>> # iterate until termination\n    >>> while not es.stop():\n    ...    X = es.ask()\n    ...    es.tell(X, [cma.fcts.elli(x) for x in X])\n    ...    es.disp()  # by default sparse, see option verb_disp\n    Iterat #Fevals   function value     axis ratio  sigma   minstd maxstd min:sec\n        1       8 2.093015112685775e+04 1.0e+00 9.27e-01  9e-01  9e-01 0:0.0\n        2      16 4.964814235917688e+04 1.1e+00 9.54e-01  9e-01  1e+00 0:0.0\n        3      24 2.876682459926845e+05 1.2e+00 1.02e+00  9e-01  1e+00 0:0.0\n      100     800 6.809045875281943e-01 1.3e+02 1.41e-02  1e-04  1e-02 0:0.2\n      200    1600 2.473662150861846e-10 8.0e+02 3.08e-05  1e-08  8e-06 0:0.5\n      233    1864 2.766344961865341e-14 8.6e+02 7.99e-07  8e-11  7e-08 0:0.6\n    >>>\n    >>> cma.pprint(es.result())\n    (Solution([ -1.98546755e-09,  -1.10214235e-09,   6.43822409e-11,\n            -1.68621326e-11]),\n     4.5119610261406537e-16,\n     1666,\n     1672,\n     209,\n     array([ -9.13545269e-09,  -1.45520541e-09,  -6.47755631e-11,\n            -1.00643523e-11]),\n     array([  3.20258681e-08,   3.15614974e-09,   2.75282215e-10,\n             3.27482983e-11]))\n    >>>\n    >>> # help(es.result) shows\n    result(self) method of cma.CMAEvolutionStrategy instance\n       return ``(xbest, f(xbest), evaluations_xbest, evaluations, iterations, pheno(xmean), effective_stds)``\n\n    Using the multiprocessing module, we can evaluate the function in parallel with a simple\n    modification of the example ::\n\n        import multiprocessing\n        # prepare es = ...\n        pool = multiprocessing.Pool(es.popsize)\n        while not es.stop():\n            X = es.ask()\n            es.tell(X, pool.map_async(cma.felli, X).get()) # use chunksize parameter as popsize/len(pool)?\n\n    Example with a data logger, lower bounds (at zero) and handling infeasible solutions:\n\n    >>> import cma\n    >>> import numpy as np\n    >>> es = cma.CMAEvolutionStrategy(10 * [0.2], 0.5, {'bounds': [0, np.inf]})\n    >>> logger = cma.CMADataLogger().register(es)\n    >>> while not es.stop():\n    ...     fit, X = [], []\n    ...     while len(X) < es.popsize:\n    ...         curr_fit = np.NaN\n    ...         while curr_fit is np.NaN:\n    ...             x = es.ask(1)[0]\n    ...             curr_fit = cma.fcts.somenan(x, cma.fcts.elli) # might return np.NaN\n    ...         X.append(x)\n    ...         fit.append(curr_fit)\n    ...     es.tell(X, fit)\n    ...     logger.add()\n    ...     es.disp()\n    <output omitted>\n    >>>\n    >>> assert es.result()[1] < 1e-9\n    >>> assert es.result()[2] < 9000  # by internal termination\n    >>> logger.plot()  # plot data\n    >>> cma.show()\n    >>> print('  *** if execution stalls close the figure window to continue (and check out ipython --pylab) ***')\n\n    Example implementing restarts with increasing popsize (IPOP), output is not displayed:\n\n    >>> import cma, numpy as np\n    >>>\n    >>> # restart with increasing population size (IPOP)\n    >>> bestever = cma.BestSolution()\n    >>> for lam in 10 * 2**np.arange(7):  # 10, 20, 40, 80, ..., 10 * 2**6\n    ...     es = cma.CMAEvolutionStrategy('6 - 8 * np.random.rand(9)',  # 9-D\n    ...                                   5,         # initial std sigma0\n    ...                                   {'popsize': lam,\n    ...                                    'verb_append': bestever.evalsall})   # pass options\n    ...     logger = cma.CMADataLogger().register(es, append=bestever.evalsall)\n    ...     while not es.stop():\n    ...         X = es.ask()    # get list of new solutions\n    ...         fit = [cma.fcts.rastrigin(x) for x in X]  # evaluate each solution\n    ...         es.tell(X, fit) # besides for termination only the ranking in fit is used\n    ...\n    ...         # display some output\n    ...         logger.add()  # add a \"data point\" to the log, writing in files\n    ...         es.disp()  # uses option verb_disp with default 100\n    ...\n    ...     print('termination:', es.stop())\n    ...     cma.pprint(es.best.__dict__)\n    ...\n    ...     bestever.update(es.best)\n    ...\n    ...     # show a plot\n    ...     logger.plot();\n    ...     if bestever.f < 1e-8:  # global optimum was hit\n    ...         break\n    <output omitted>\n    >>> assert es.result()[1] < 1e-8\n\n    On the Rastrigin function, usually after five restarts the global optimum\n    is located.\n\n    The final example shows how to resume:\n\n    >>> import cma, pickle\n    >>>\n    >>> es = cma.CMAEvolutionStrategy(12 * [0.1],  # a new instance, 12-D\n    ...                               0.5)         # initial std sigma0\n    >>> logger = cma.CMADataLogger().register(es)\n    >>> es.optimize(cma.fcts.rosen, logger, iterations=100)\n    >>> logger.plot()\n    >>> pickle.dump(es, open('saved-cma-object.pkl', 'wb'))\n    >>> print('saved')\n    >>> del es, logger  # let's start fresh\n    >>>\n    >>> es = pickle.load(open('saved-cma-object.pkl', 'rb'))\n    >>> print('resumed')\n    >>> logger = cma.CMADataLogger(es.opts['verb_filenameprefix']  # use same name\n    ...                           ).register(es, True)  # True: append to old log data\n    >>> es.optimize(cma.fcts.rosen, logger, verb_disp=200)\n    >>> assert es.result()[2] < 15000\n    >>> cma.pprint(es.result())\n    >>> logger.plot()\n\n    Missing Features\n    ================\n    Option ``randn`` to pass a random number generator.\n\n    :See: `fmin()`, `Options`, `plot()`, `ask()`, `tell()`, `ask_and_eval()`\n\n    \"\"\"\n\n    # __all__ = ()  # TODO this would be the interface\n\n    #____________________________________________________________\n    @property  # read only attribute decorator for a method\n    def popsize(self):\n        \"\"\"number of samples by default returned by` ask()`\n        \"\"\"\n        return self.sp.popsize\n\n    # this is not compatible with python2.5:\n    #     @popsize.setter\n    #     def popsize(self, p):\n    #         \"\"\"popsize cannot be set (this might change in future)\n    #         \"\"\"\n    #         raise _Error(\"popsize cannot be changed (this might change in future)\")\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def stop(self, check=True):\n        \"\"\"return a dictionary with the termination status.\n        With ``check==False``, the termination conditions are not checked and\n        the status might not reflect the current situation.\n        \"\"\"\n\n        if (check and self.countiter > 0 and self.opts['termination_callback'] and\n                self.opts['termination_callback'] != str(self.opts['termination_callback'])):\n            self.callbackstop = self.opts['termination_callback'](self)\n\n        return self.stopdict(self if check else None)  # update the stopdict and return a Dict\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def __init__(self, x0, sigma0, inopts = {}):\n        \"\"\"see class `CMAEvolutionStrategy`\n\n        \"\"\"\n        self.inputargs = dict(locals()) # for the record\n        del self.inputargs['self'] # otherwise the instance self has a cyclic reference\n        self.inopts = inopts\n        opts = Options(inopts).complement()  # Options() == fmin([],[]) == defaultOptions()\n\n        if opts['noise_handling'] and eval(opts['noise_handling']):\n            raise ValueError('noise_handling not available with class CMAEvolutionStrategy, use function fmin')\n        if opts['restarts'] and eval(opts['restarts']):\n            raise ValueError('restarts not available with class CMAEvolutionStrategy, use function fmin')\n\n        if x0 == str(x0):\n            x0 = eval(x0)\n        self.mean = array(x0)  # should not have column or row, is just 1-D\n        if self.mean.ndim == 2:\n            print('WARNING: input x0 should be a list or 1-D array, trying to flatten ' +\n                    str(self.mean.shape) + '-array')\n            if self.mean.shape[0] == 1:\n                self.mean = self.mean[0]\n            elif self.mean.shape[1] == 1:\n                self.mean = array([x[0] for x in self.mean])\n        if self.mean.ndim != 1:\n            raise _Error('x0 must be 1-D array')\n        if len(self.mean) <= 1:\n            raise _Error('optimization in 1-D is not supported (code was never tested)')\n\n        self.N = self.mean.shape[0]\n        N = self.N\n        self.mean.resize(N) # 1-D array, not really necessary?!\n        self.x0 = self.mean\n        self.mean = self.x0.copy()  # goes to initialize\n\n        self.sigma0 = sigma0\n        if isinstance(sigma0, str):  # TODO: no real need here (do rather in fmin)\n            self.sigma0 = eval(sigma0)  # like '1./N' or 'np.random.rand(1)[0]+1e-2'\n        if np.size(self.sigma0) != 1 or np.shape(self.sigma0):\n            raise _Error('input argument sigma0 must be (or evaluate to) a scalar')\n        self.sigma = self.sigma0  # goes to inialize\n\n        # extract/expand options\n        opts.evalall(locals())  # using only N\n        self.opts = opts\n\n        self.randn = opts['randn']\n        self.gp = GenoPheno(N, opts['scaling_of_variables'], opts['typical_x'],\n            opts['bounds'], opts['fixed_variables'], opts['transformation'])\n        self.boundPenalty = BoundPenalty(self.gp.bounds)\n        s = self.gp.geno(self.mean)\n        self.mean = self.gp.geno(self.mean, bounds=self.gp.bounds)\n        self.N = len(self.mean)\n        N = self.N\n        if (self.mean != s).any():\n            print('WARNING: initial solution is out of the domain boundaries:')\n            print('  x0   = ' + str(self.inputargs['x0']))\n            print('  ldom = ' + str(self.gp.bounds[0]))\n            print('  udom = ' + str(self.gp.bounds[1]))\n        self.fmean = np.NaN             # TODO name should change? prints nan (OK with matlab&octave)\n        self.fmean_noise_free = 0.  # for output only\n\n        self.sp = CMAParameters(N, opts)\n        self.sp0 = self.sp  # looks useless, as it is not a copy\n\n        # initialization of state variables\n        self.countiter = 0\n        self.countevals = max((0, opts['verb_append'])) if type(opts['verb_append']) is not bool else 0\n        self.ps = np.zeros(N)\n        self.pc = np.zeros(N)\n\n        stds = np.ones(N)\n        self.sigma_vec = np.ones(N) if np.isfinite(self.sp.dampsvec) else 1\n        if np.all(self.opts['CMA_teststds']):  # also 0 would not make sense\n            stds = self.opts['CMA_teststds']\n            if np.size(stds) != N:\n                raise _Error('CMA_teststds option must have dimension = ' + str(N))\n        if self.opts['CMA_diagonal']:  # is True or > 0\n            # linear time and space complexity\n            self.B = array(1) # works fine with np.dot(self.B, anything) and self.B.T\n            self.C = stds**2  # TODO: remove this!?\n            self.dC = self.C\n        else:\n            self.B = np.eye(N) # identity(N), do not from matlib import *, as eye is a matrix there\n            # prevent equal eigenvals, a hack for np.linalg:\n            self.C = np.diag(stds**2 * exp(1e-6*(np.random.rand(N)-0.5)))\n            self.dC = np.diag(self.C)\n            self.Zneg = np.zeros((N, N))\n        self.D = stds\n\n        self.flgtelldone = True\n        self.itereigenupdated = self.countiter\n        self.noiseS = 0  # noise \"signal\"\n        self.hsiglist = []\n\n        if not opts['seed']:\n            np.random.seed()\n            six_decimals = (time.time() - 1e6 * (time.time() // 1e6))\n            opts['seed'] = 1e5 * np.random.rand() + six_decimals + 1e5 * (time.time() % 1)\n        opts['seed'] = int(opts['seed'])\n        np.random.seed(opts['seed'])\n\n        self.sent_solutions = SolutionDict()\n        self.best = BestSolution()\n\n        out = {}  # TODO: obsolete, replaced by method results()?\n        out['best'] = self.best\n        # out['hsigcount'] = 0\n        out['termination'] = {}\n        self.out = out\n\n        self.const = BlancClass()\n        self.const.chiN = N**0.5*(1-1./(4.*N)+1./(21.*N**2)) # expectation of norm(randn(N,1))\n\n        # attribute for stopping criteria in function stop\n        self.stopdict = CMAStopDict()\n        self.callbackstop = 0\n\n        self.fit = BlancClass()\n        self.fit.fit = []   # not really necessary\n        self.fit.hist = []  # short history of best\n        self.fit.histbest = []   # long history of best\n        self.fit.histmedian = [] # long history of median\n\n        self.more_to_write = []  #[1, 1, 1, 1]  #  N*[1]  # needed when writing takes place before setting\n\n        # say hello\n        if opts['verb_disp'] > 0:\n            sweighted = '_w' if self.sp.mu > 1 else ''\n            smirr = 'mirr%d' % (self.sp.lam_mirr) if self.sp.lam_mirr else ''\n            print('(%d' % (self.sp.mu) + sweighted + ',%d' % (self.sp.popsize) + smirr + ')-CMA-ES' +\n                  ' (mu_w=%2.1f,w_1=%d%%)' % (self.sp.mueff, int(100*self.sp.weights[0])) +\n                  ' in dimension %d (seed=%d, %s)' % (N, opts['seed'], time.asctime())) # + func.__name__\n            if opts['CMA_diagonal'] and self.sp.CMA_on:\n                s = ''\n                if opts['CMA_diagonal'] is not True:\n                    s = ' for '\n                    if opts['CMA_diagonal'] < np.inf:\n                        s += str(int(opts['CMA_diagonal']))\n                    else:\n                        s += str(np.floor(opts['CMA_diagonal']))\n                    s += ' iterations'\n                    s += ' (1/ccov=' + str(round(1./(self.sp.c1+self.sp.cmu))) + ')'\n                print('   Covariance matrix is diagonal' + s)\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def ask(self, number=None, xmean=None, sigma_fac=1):\n        \"\"\"get new candidate solutions, sampled from a multi-variate\n        normal distribution and transformed to f-representation\n        (phenotype) to be evaluated.\n\n        Arguments\n        ---------\n            `number`\n                number of returned solutions, by default the\n                population size ``popsize`` (AKA ``lambda``).\n            `xmean`\n                distribution mean\n            `sigma`\n                multiplier for internal sample width (standard\n                deviation)\n\n        Return\n        ------\n        A list of N-dimensional candidate solutions to be evaluated\n\n        Example\n        -------\n        >>> import cma\n        >>> es = cma.CMAEvolutionStrategy([0,0,0,0], 0.3)\n        >>> while not es.stop() and es.best.f > 1e-6:  # my_desired_target_f_value\n        ...     X = es.ask()  # get list of new solutions\n        ...     fit = [cma.fcts.rosen(x) for x in X]  # call function rosen with each solution\n        ...     es.tell(X, fit)  # feed values\n\n        :See: `ask_and_eval`, `ask_geno`, `tell`\n\n        \"\"\"\n        pop_geno = self.ask_geno(number, xmean, sigma_fac)\n\n\n        # N,lambda=20,200: overall CPU 7s vs 5s == 40% overhead, even without bounds!\n        #                  new data: 11.5s vs 9.5s == 20%\n        # TODO: check here, whether this is necessary?\n        # return [self.gp.pheno(x, copy=False, bounds=self.gp.bounds) for x in pop]  # probably fine\n        # return [Solution(self.gp.pheno(x, copy=False), copy=False) for x in pop]  # here comes the memory leak, now solved\n        # pop_pheno = [Solution(self.gp.pheno(x, copy=False), copy=False).repair(self.gp.bounds) for x in pop_geno]\n        pop_pheno = [self.gp.pheno(x, copy=True, bounds=self.gp.bounds) for x in pop_geno]\n\n        if not self.gp.isidentity or use_sent_solutions:  # costs 25% in CPU performance with N,lambda=20,200\n            # archive returned solutions, first clean up archive\n            if self.countiter % 30/self.popsize**0.5 < 1:\n                self.sent_solutions.truncate(0, self.countiter - 1 - 3 * self.N/self.popsize**0.5)\n            # insert solutions\n            for i in range(len(pop_geno)):\n                self.sent_solutions[pop_pheno[i]] = {'geno': pop_geno[i],\n                                            'pheno': pop_pheno[i],\n                                            'iteration': self.countiter}\n        return pop_pheno\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def ask_geno(self, number=None, xmean=None, sigma_fac=1):\n        \"\"\"get new candidate solutions in genotyp, sampled from a\n        multi-variate normal distribution.\n\n        Arguments are\n            `number`\n                number of returned solutions, by default the\n                population size `popsize` (AKA lambda).\n            `xmean`\n                distribution mean\n            `sigma_fac`\n                multiplier for internal sample width (standard\n                deviation)\n\n        `ask_geno` returns a list of N-dimensional candidate solutions\n        in genotyp representation and is called by `ask`.\n\n        :See: `ask`, `ask_and_eval`\n\n        \"\"\"\n\n        if number is None or number < 1:\n            number = self.sp.popsize\n        if xmean is None:\n            xmean = self.mean\n\n        if self.countiter == 0:\n            self.tic = time.clock()  # backward compatible\n            self.elapsed_time = ElapsedTime()\n\n        if self.opts['CMA_AII']:\n            if self.countiter == 0:\n                self.aii = AII(self.x0, self.sigma0)\n            self.flgtelldone = False\n            pop = self.aii.ask(number)\n            return pop\n\n        sigma = sigma_fac * self.sigma\n\n        # update parameters for sampling the distribution\n        #        fac  0      1      10\n        # 150-D cigar:\n        #           50749  50464   50787\n        # 200-D elli:               == 6.9\n        #                  99900   101160\n        #                 100995   103275 == 2% loss\n        # 100-D elli:               == 6.9\n        #                 363052   369325  < 2% loss\n        #                 365075   365755\n\n        # update distribution\n        if self.sp.CMA_on and (\n                (self.opts['updatecovwait'] is None and\n                 self.countiter >=\n                     self.itereigenupdated + 1./(self.sp.c1+self.sp.cmu)/self.N/10\n                 ) or\n                (self.opts['updatecovwait'] is not None and\n                 self.countiter > self.itereigenupdated + self.opts['updatecovwait']\n                 )):\n            self.updateBD()\n\n        # sample distribution\n        if self.flgtelldone:  # could be done in tell()!?\n            self.flgtelldone = False\n            self.ary = []\n\n        # each row is a solution\n        arz = self.randn((number, self.N))\n        if 11 < 3:  # mutate along the principal axes only\n            perm = np.random.permutation(self.N) # indices for mutated principal component\n            for i in range(min((len(arz), self.N))):\n                # perm = np.random.permutation(self.N)  # random principal component, should be much worse\n                l = sum(arz[i]**2)**0.5\n                arz[i] *= 0\n                if 11 < 3: # mirrored sampling\n                    arz[i][perm[int(i/2)]] = l * (2 * (i % 2) - 1)\n                else:\n                    arz[i][perm[i % self.N]] = l * np.sign(np.random.rand(1) - 0.5)\n        if number == self.sp.popsize:\n            self.arz = arz  # is never used\n        else:\n            pass\n\n        if 11 < 3:  # normalize the length to chiN\n            for i in range(len(arz)):\n                # arz[i] *= exp(self.randn(1)[0] / 8)\n                ss = sum(arz[i]**2)**0.5\n                arz[i] *= self.const.chiN / ss\n            # or to average\n            # arz *= 1 * self.const.chiN / np.mean([sum(z**2)**0.5 for z in arz])\n\n        # fac = np.mean(sum(arz**2, 1)**0.5)\n        # print fac\n        # arz *= self.const.chiN / fac\n        self.ary = self.sigma_vec * np.dot(self.B, (self.D * arz).T).T\n        pop = xmean + sigma * self.ary\n        self.evaluations_per_f_value = 1\n\n        return pop\n\n    def get_mirror(self, x):\n        \"\"\"return ``pheno(self.mean - (geno(x) - self.mean))``.\n\n        TODO: this implementation is yet experimental.\n\n        Selectively mirrored sampling improves to a moderate extend but\n        overadditively with active CMA for quite understandable reasons.\n\n        Optimal number of mirrors are suprisingly small: 1,2,3 for maxlam=7,13,20\n        however note that 3,6,10 are the respective maximal possible mirrors that\n        must be clearly suboptimal.\n\n        \"\"\"\n        try:\n            # dx = x.geno - self.mean, repair or boundary handling is not taken into account\n            dx = self.sent_solutions[x]['geno'] - self.mean\n        except:\n            print('WARNING: use of geno is depreciated')\n            dx = self.gp.geno(x, copy=True) - self.mean\n        dx *= sum(self.randn(self.N)**2)**0.5 / self.mahalanobisNorm(dx)\n        x = self.mean - dx\n        y = self.gp.pheno(x, bounds=self.gp.bounds)\n        if not self.gp.isidentity or use_sent_solutions:  # costs 25% in CPU performance with N,lambda=20,200\n            self.sent_solutions[y] = {'geno': x,\n                                        'pheno': y,\n                                        'iteration': self.countiter}\n        return y\n\n    def mirror_penalized(self, f_values, idx):\n        \"\"\"obsolete and subject to removal (TODO),\n        return modified f-values such that for each mirror one becomes worst.\n\n        This function is useless when selective mirroring is applied with no\n        more than (lambda-mu)/2 solutions.\n\n        Mirrors are leading and trailing values in ``f_values``.\n\n        \"\"\"\n        assert len(f_values) >= 2 * len(idx)\n        m = np.max(np.abs(f_values))\n        for i in len(idx):\n            if f_values[idx[i]] > f_values[-1-i]:\n                f_values[idx[i]] += m\n            else:\n                f_values[-1-i] += m\n        return f_values\n\n    def mirror_idx_cov(self, f_values, idx1):  # will most likely be removed\n        \"\"\"obsolete and subject to removal (TODO),\n        return indices for negative (\"active\") update of the covariance matrix\n        assuming that ``f_values[idx1[i]]`` and ``f_values[-1-i]`` are\n        the corresponding mirrored values\n\n        computes the index of the worse solution sorted by the f-value of the\n        better solution.\n\n        TODO: when the actual mirror was rejected, it is better\n        to return idx1 instead of idx2.\n\n        Remark: this function might not be necessary at all: if the worst solution\n        is the best mirrored, the covariance matrix updates cancel (cave: weights\n        and learning rates), which seems what is desirable. If the mirror is bad,\n        as strong negative update is made, again what is desirable.\n        And the fitness--step-length correlation is in part addressed by\n        using flat weights.\n\n        \"\"\"\n        idx2 = np.arange(len(f_values) - 1, len(f_values) - 1 - len(idx1), -1)\n        f = []\n        for i in range(len(idx1)):\n            f.append(min((f_values[idx1[i]], f_values[idx2[i]])))\n            # idx.append(idx1[i] if f_values[idx1[i]] > f_values[idx2[i]] else idx2[i])\n        return idx2[np.argsort(f)][-1::-1]\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    def ask_and_eval(self, func, args=(), number=None, xmean=None, sigma_fac=1,\n                     evaluations=1, aggregation=np.median):\n        \"\"\"samples `number` solutions and evaluates them on `func`, where\n        each solution `s` is resampled until ``func(s) not in (numpy.NaN, None)``.\n\n        Arguments\n        ---------\n            `func`\n                objective function\n            `args`\n                additional parameters for `func`\n            `number`\n                number of solutions to be sampled, by default\n                population size ``popsize`` (AKA lambda)\n            `xmean`\n                mean for sampling the solutions, by default ``self.mean``.\n            `sigma_fac`\n                multiplier for sampling width, standard deviation, for example\n                to get a small perturbation of solution `xmean`\n            `evaluations`\n                number of evaluations for each sampled solution\n            `aggregation`\n                function that aggregates `evaluations` values to\n                as single value.\n\n        Return\n        ------\n        ``(X, fit)``, where\n            X -- list of solutions\n            fit -- list of respective function values\n\n        Details\n        -------\n        When ``func(x)`` returns `NaN` or `None` a new solution is sampled until\n        ``func(x) not in (numpy.NaN, None)``.  The argument to `func` can be\n        freely modified within `func`.\n\n        Depending on the ``CMA_mirrors`` option, some solutions are not sampled\n        independently but as mirrors of other bad solutions. This is a simple\n        derandomization that can save 10-30% of the evaluations in particular\n        with small populations, for example on the cigar function.\n\n        Example\n        -------\n        >>> import cma\n        >>> x0, sigma0 = 8*[10], 1  # 8-D\n        >>> es = cma.CMAEvolutionStrategy(x0, sigma0)\n        >>> while not es.stop():\n        ...     X, fit = es.ask_and_eval(cma.fcts.elli)  # handles NaN with resampling\n        ...     es.tell(X, fit)  # pass on fitness values\n        ...     es.disp(20) # print every 20-th iteration\n        >>> print('terminated on ' + str(es.stop()))\n        <output omitted>\n\n        A single iteration step can be expressed in one line, such that\n        an entire optimization after initialization becomes\n        ::\n\n            while not es.stop():\n                es.tell(*es.ask_and_eval(cma.fcts.elli))\n\n        \"\"\"\n        # initialize\n        popsize = self.sp.popsize\n        if number is not None:\n            popsize = number\n        selective_mirroring = True\n        nmirrors = self.sp.lam_mirr\n        if popsize != self.sp.popsize:\n            nmirrors = Mh.sround(popsize * self.sp.lam_mirr / self.sp.popsize)\n            # TODO: now selective mirroring might be impaired\n        assert nmirrors <= popsize // 2\n        self.mirrors_idx = np.arange(nmirrors)  # might never be used\n        self.mirrors_rejected_idx = []  # might never be used\n        if xmean is None:\n            xmean = self.mean\n\n        # do the work\n        fit = []  # or np.NaN * np.empty(number)\n        X_first = self.ask(popsize)\n        X = []\n        for k in range(int(popsize)):\n            nreject = -1\n            f = np.NaN\n            while f in (np.NaN, None):  # rejection sampling\n                nreject += 1\n                if k < popsize - nmirrors or nreject:\n                    if nreject:\n                        x = self.ask(1, xmean, sigma_fac)[0]\n                    else:\n                        x = X_first.pop(0)\n                else:  # mirrored sample\n                    if k == popsize - nmirrors and selective_mirroring:\n                        self.mirrors_idx = np.argsort(fit)[-1:-1-nmirrors:-1]\n                    x = self.get_mirror(X[self.mirrors_idx[popsize - 1 - k]])\n                if nreject == 1 and k >= popsize - nmirrors:\n                    self.mirrors_rejected_idx.append(k)\n\n                # contraints handling test hardwired ccccccccccc\n                if 11 < 3 and self.opts['vv'] and nreject < 2:  # trying out negative C-update as constraints handling\n                    if not hasattr(self, 'constraints_paths'):\n                        k = 1\n                        self.constraints_paths = [np.zeros(self.N) for _i in range(k)]\n                    Izero = np.zeros([self.N, self.N])\n                    for i in range(self.N):\n                        if x[i] < 0:\n                            Izero[i][i] = 1\n                            self.C -= self.opts['vv'] * Izero\n                            Izero[i][i] = 0\n                    if 1 < 3 and sum([ (9 + i + 1) * x[i] for i in range(self.N)]) > 50e3:\n                        self.constraints_paths[0] = 0.9 * self.constraints_paths[0] + 0.1 * (x - self.mean) / self.sigma\n                        self.C -= (self.opts['vv'] / self.N) * np.outer(self.constraints_paths[0], self.constraints_paths[0])\n\n                f = func(x, *args)\n                if f not in (np.NaN, None) and evaluations > 1:\n                    f = aggregation([f] + [func(x, *args) for _i in range(int(evaluations-1))])\n                if nreject + 1 % 1000 == 0:\n                    print('  %d solutions rejected (f-value NaN or None) at iteration %d' %\n                          (nreject, self.countiter))\n            fit.append(f)\n            X.append(x)\n        self.evaluations_per_f_value = int(evaluations)\n        return X, fit\n\n\n    #____________________________________________________________\n    def tell(self, solutions, function_values, check_points=None, copy=False):\n        \"\"\"pass objective function values to prepare for next\n        iteration. This core procedure of the CMA-ES algorithm updates\n        all state variables, in particular the two evolution paths, the\n        distribution mean, the covariance matrix and a step-size.\n\n        Arguments\n        ---------\n            `solutions`\n                list or array of candidate solution points (of\n                type `numpy.ndarray`), most presumably before\n                delivered by method `ask()` or `ask_and_eval()`.\n            `function_values`\n                list or array of objective function values\n                corresponding to the respective points. Beside for termination\n                decisions, only the ranking of values in `function_values`\n                is used.\n            `check_points`\n                If ``check_points is None``, only solutions that are not generated\n                by `ask()` are possibly clipped (recommended). ``False`` does not clip\n                any solution (not recommended).\n                If ``True``, clips solutions that realize long steps (i.e. also\n                those that are unlikely to be generated with `ask()`). `check_points`\n                can be a list of indices to be checked in solutions.\n            `copy`\n                ``solutions`` can be modified in this routine, if ``copy is False``\n\n        Details\n        -------\n        `tell()` updates the parameters of the multivariate\n        normal search distribution, namely covariance matrix and\n        step-size and updates also the attributes `countiter` and\n        `countevals`. To check the points for consistency is quadratic\n        in the dimension (like sampling points).\n\n        Bugs\n        ----\n        The effect of changing the solutions delivered by `ask()` depends on whether\n        boundary handling is applied. With boundary handling, modifications are\n        disregarded. This is necessary to apply the default boundary handling that\n        uses unrepaired solutions but might change in future.\n\n        Example\n        -------\n        ::\n\n            import cma\n            func = cma.fcts.elli  # choose objective function\n            es = cma.CMAEvolutionStrategy(cma.np.random.rand(10), 1)\n            while not es.stop():\n               X = es.ask()\n               es.tell(X, [func(x) for x in X])\n            es.result()  # where the result can be found\n\n        :See: class `CMAEvolutionStrategy`, `ask()`, `ask_and_eval()`, `fmin()`\n\n        \"\"\"\n    #____________________________________________________________\n    # TODO: consider an input argument that flags injected trust-worthy solutions (which means\n    #       that they can be treated \"absolut\" rather than \"relative\")\n        if self.flgtelldone:\n            raise _Error('tell should only be called once per iteration')\n\n        lam = len(solutions)\n        if lam != array(function_values).shape[0]:\n            raise _Error('for each candidate solution '\n                        + 'a function value must be provided')\n        if lam + self.sp.lam_mirr < 3:\n            raise _Error('population size ' + str(lam) + ' is too small when option CMA_mirrors * popsize < 0.5')\n\n        if not np.isscalar(function_values[0]):\n            if np.isscalar(function_values[0][0]):\n                if self.countiter <= 1:\n                    print('WARNING: function values are not a list of scalars (further warnings are suppressed)')\n                function_values = [val[0] for val in function_values]\n            else:\n                raise _Error('objective function values must be a list of scalars')\n\n\n        ### prepare\n        N = self.N\n        sp = self.sp\n        if 11 < 3 and lam != sp.popsize:  # turned off, because mu should stay constant, still not desastrous\n            print('WARNING: population size has changed, recomputing parameters')\n            self.sp.set(self.opts, lam)  # not really tested\n        if lam < sp.mu:  # rather decrease cmean instead of having mu > lambda//2\n            raise _Error('not enough solutions passed to function tell (mu>lambda)')\n\n        self.countiter += 1  # >= 1 now\n        self.countevals += sp.popsize * self.evaluations_per_f_value\n        self.best.update(solutions, self.sent_solutions, function_values, self.countevals)\n\n        flgseparable = self.opts['CMA_diagonal'] is True \\\n                       or self.countiter <= self.opts['CMA_diagonal']\n        if not flgseparable and len(self.C.shape) == 1:  # C was diagonal ie 1-D\n            # enter non-separable phase (no easy return from here)\n            self.B = np.eye(N) # identity(N)\n            self.C = np.diag(self.C)\n            idx = np.argsort(self.D)\n            self.D = self.D[idx]\n            self.B = self.B[:,idx]\n            self.Zneg = np.zeros((N, N))\n\n        ### manage fitness\n        fit = self.fit  # make short cut\n\n        # CPU for N,lam=20,200: this takes 10s vs 7s\n        fit.bndpen = self.boundPenalty.update(function_values, self)(solutions, self.sent_solutions, self.gp)\n        # for testing:\n        # fit.bndpen = self.boundPenalty.update(function_values, self)([s.unrepaired for s in solutions])\n        fit.idx = np.argsort(array(fit.bndpen) + array(function_values))\n        fit.fit = array(function_values, copy=False)[fit.idx]\n\n        # update output data TODO: this is obsolete!? However: need communicate current best x-value?\n        # old: out['recent_x'] = self.gp.pheno(pop[0])\n        self.out['recent_x'] = array(solutions[fit.idx[0]])  # TODO: change in a data structure(?) and use current as identify\n        self.out['recent_f'] = fit.fit[0]\n\n        # fitness histories\n        fit.hist.insert(0, fit.fit[0])\n        # if len(self.fit.histbest) < 120+30*N/sp.popsize or  # does not help, as tablet in the beginning is the critical counter-case\n        if ((self.countiter % 5) == 0):  # 20 percent of 1e5 gen.\n            fit.histbest.insert(0, fit.fit[0])\n            fit.histmedian.insert(0, np.median(fit.fit) if len(fit.fit) < 21\n                                    else fit.fit[self.popsize // 2])\n        if len(fit.histbest) > 2e4: # 10 + 30*N/sp.popsize:\n            fit.histbest.pop()\n            fit.histmedian.pop()\n        if len(fit.hist) > 10 + 30*N/sp.popsize:\n            fit.hist.pop()\n\n        if self.opts['CMA_AII']:\n            self.aii.tell(solutions, function_values)\n            self.flgtelldone = True\n            # for output:\n            self.mean = self.aii.mean\n            self.dC = self.aii.sigmai**2\n            self.sigma = self.aii.sigma\n            self.D = 1e-11 + (self.aii.r**2)**0.5\n            self.more_to_write += [self.aii.sigma_r]\n            return\n\n        # TODO: clean up inconsistency when an unrepaired solution is available and used\n        pop = []  # create pop from input argument solutions\n        for s in solutions:  # use phenotype before Solution.repair()\n            if use_sent_solutions:\n                x = self.sent_solutions.pop(s, None)  # 12.7s vs 11.3s with N,lambda=20,200\n                if x is not None:\n                    pop.append(x['geno'])\n                    # TODO: keep additional infos or don't pop s from sent_solutions in the first place\n                else:\n                    # print 'WARNING: solution not found in ``self.sent_solutions`` (is expected for injected solutions)'\n                    pop.append(self.gp.geno(s, copy=copy))  # cannot recover the original genotype with boundary handling\n                    if check_points in (None, True, 1):\n                        self.repair_genotype(pop[-1])  # necessary if pop[-1] was changed or injected by the user.\n            else:  # TODO: to be removed?\n                # print 'WARNING: ``geno`` mapping depreciated'\n                pop.append(self.gp.geno(s, copy=copy))\n                if check_points in (None, True, 1):\n                    self.repair_genotype(pop[-1])  # necessary or not?\n                # print 'repaired'\n\n        mold = self.mean\n        sigma_fac = 1\n\n        # check and normalize each x - m\n        # check_points is a flag (None is default: check non-known solutions) or an index list\n        # should also a number possible (first check_points points)?\n        if check_points not in (None, False, 0, [], ()):  # useful in case of injected solutions and/or adaptive encoding, however is automatic with use_sent_solutions\n            try:\n                if len(check_points):\n                    idx = check_points\n            except:\n                idx = range(sp.popsize)\n\n            for k in idx:\n                self.repair_genotype(pop[k])\n\n        # sort pop\n        if type(pop) is not array: # only arrays can be multiple indexed\n            pop = array(pop, copy=False)\n\n        pop = pop[fit.idx]\n\n        if self.opts['CMA_elitist'] and self.best.f < fit.fit[0]:\n            if self.best.x_geno is not None:\n                xp = [self.best.x_geno]\n                # xp = [self.best.xdict['geno']]\n                # xp = [self.gp.geno(self.best.x[:])]  # TODO: remove\n                # print self.mahalanobisNorm(xp[0]-self.mean)\n                self.clip_or_fit_solutions(xp, [0])\n                pop = array([xp[0]] + list(pop))\n            else:\n                print('genotype for elitist not found')\n\n        # compute new mean\n        self.mean = mold + self.sp.cmean * \\\n                    (sum(sp.weights * pop[0:sp.mu].T, 1) - mold)\n\n\n        # check Delta m (this is not default, but could become at some point)\n        # CAVE: upper_length=sqrt(2)+2 is too restrictive, test upper_length = sqrt(2*N) thoroughly.\n        # simple test case injecting self.mean:\n        # self.mean = 1e-4 * self.sigma * np.random.randn(N)\n        if 11 < 3 and self.opts['vv'] and check_points:  # TODO: check_points might be an index-list\n            cmean = self.sp.cmean / min(1, (sqrt(self.opts['vv']*N)+2) / ( # abuse of cmean\n                (sqrt(self.sp.mueff) / self.sp.cmean) *\n                self.mahalanobisNorm(self.mean - mold)))\n        else:\n            cmean = self.sp.cmean\n\n        if 11 < 3:  # plot length of mean - mold\n            self.more_to_write += [sqrt(sp.mueff) *\n                sum(((1./self.D) * dot(self.B.T, self.mean - mold))**2)**0.5 /\n                       self.sigma / sqrt(N) / cmean]\n\n        # get learning rate constants\n        cc, c1, cmu = sp.cc, sp.c1, sp.cmu\n        if flgseparable:\n            cc, c1, cmu = sp.cc_sep, sp.c1_sep, sp.cmu_sep\n\n        # now the real work can start\n\n        # evolution paths\n        self.ps = (1-sp.cs) * self.ps + \\\n                  (sqrt(sp.cs*(2-sp.cs)*sp.mueff)  / self.sigma / cmean) * \\\n                  dot(self.B, (1./self.D) * dot(self.B.T, (self.mean - mold) / self.sigma_vec))\n\n        # \"hsig\", correction with self.countiter seems not necessary, also pc starts with zero\n        hsig = sum(self.ps**2) / (1-(1-sp.cs)**(2*self.countiter)) / self.N < 2 + 4./(N+1)\n        if 11 < 3:\n            # hsig = 1\n            # sp.cc = 4 / (N + 4)\n            # sp.cs = 4 / (N + 4)\n            # sp.cc = 1\n            # sp.damps = 2  #\n            # sp.CMA_on = False\n            # c1 = 0  # 2 / ((N + 1.3)**2 + 0 * sp.mu) # 1 / N**2\n            # cmu = min([1 - c1, cmu])\n            if self.countiter == 1:\n                print('parameters modified')\n        # hsig = sum(self.ps**2) / self.N < 2 + 4./(N+1)\n        # adjust missing variance due to hsig, in 4-D with damps=1e99 and sig0 small\n        #       hsig leads to premature convergence of C otherwise\n        #hsiga = (1-hsig**2) * c1 * cc * (2-cc)  # to be removed in future\n        c1a = c1 - (1-hsig**2) * c1 * cc * (2-cc)  # adjust for variance loss\n\n        if 11 < 3:  # diagnostic data\n            self.out['hsigcount'] += 1 - hsig\n            if not hsig:\n                self.hsiglist.append(self.countiter)\n        if 11 < 3:  # diagnostic message\n            if not hsig:\n                print(str(self.countiter) + ': hsig-stall')\n        if 11 < 3:  # for testing purpose\n            hsig = 1 # TODO:\n            #       put correction term, but how?\n            if self.countiter == 1:\n                print('hsig=1')\n\n        self.pc = (1-cc) * self.pc + \\\n                  hsig * (sqrt(cc*(2-cc)*sp.mueff) / self.sigma / cmean) * \\\n                  (self.mean - mold)  / self.sigma_vec\n\n        # covariance matrix adaptation/udpate\n        if sp.CMA_on:\n            # assert sp.c1 + sp.cmu < sp.mueff / N  # ??\n            assert c1 + cmu <= 1\n\n            # default full matrix case\n            if not flgseparable:\n                Z = (pop[0:sp.mu] - mold) / (self.sigma * self.sigma_vec)\n                Z = dot((cmu * sp.weights) * Z.T, Z)  # learning rate integrated\n                if self.sp.neg.cmuexp:\n                    tmp = (pop[-sp.neg.mu:] - mold) / (self.sigma * self.sigma_vec)\n                    self.Zneg *= 1 - self.sp.neg.cmuexp  # for some reason necessary?\n                    self.Zneg += dot(sp.neg.weights * tmp.T, tmp) - self.C\n                    # self.update_exponential(dot(sp.neg.weights * tmp.T, tmp) - 1 * self.C, -1*self.sp.neg.cmuexp)\n\n                if 11 < 3: # ?3 to 5 times slower??\n                    Z = np.zeros((N,N))\n                    for k in range(sp.mu):\n                        z = (pop[k]-mold)\n                        Z += np.outer((cmu * sp.weights[k] / (self.sigma * self.sigma_vec)**2) * z, z)\n\n                self.C *= 1 - c1a - cmu\n                self.C += np.outer(c1 * self.pc, self.pc) + Z\n                self.dC = np.diag(self.C)  # for output and termination checking\n\n            else: # separable/diagonal linear case\n                assert(c1+cmu <= 1)\n                Z = np.zeros(N)\n                for k in range(sp.mu):\n                    z = (pop[k]-mold) / (self.sigma * self.sigma_vec) # TODO see above\n                    Z += sp.weights[k] * z * z  # is 1-D\n                self.C = (1-c1a-cmu) * self.C + c1 * self.pc * self.pc + cmu * Z\n                # TODO: self.C *= exp(cmuneg * (N - dot(sp.neg.weights,  **2)\n                self.dC = self.C\n                self.D = sqrt(self.C)  # C is a 1-D array\n                self.itereigenupdated = self.countiter\n\n                # idx = self.mirror_idx_cov()  # take half of mirrored vectors for negative update\n\n        # qqqqqqqqqqq\n        if 1 < 3 and np.isfinite(sp.dampsvec):\n            if self.countiter == 1:\n                print(\"WARNING: CMA_dampsvec option is experimental\")\n            sp.dampsvec *= np.exp(sp.dampsvec_fading/self.N)\n            # TODO: rank-lambda update: *= (1 + sum(z[z>1]**2-1) * exp(sum(z[z<1]**2-1))\n            self.sigma_vec *= np.exp((sp.cs/sp.dampsvec/2) * (self.ps**2 - 1))\n            # self.sigma_vec *= np.exp((sp.cs/sp.dampsvec) * (abs(self.ps) - (2/np.pi)**0.5))\n            self.more_to_write += [exp(np.mean((self.ps**2 - 1)**2))]\n            # TODO: rank-mu update\n\n        # step-size adaptation, adapt sigma\n        if 1 < 3:  #\n            self.sigma *= sigma_fac * \\\n                            np.exp((min((1, (sp.cs/sp.damps) *\n                                    (sqrt(sum(self.ps**2))/self.const.chiN - 1)))))\n        else:\n            self.sigma *= sigma_fac * \\\n                            np.exp((min((1000, (sp.cs/sp.damps/2) *\n                                    (sum(self.ps**2)/N - 1)))))\n        if 11 < 3:\n            # derandomized MSR = natural gradient descent using mean(z**2) instead of mu*mean(z)**2\n            lengths = array([sum(z**2)**0.5 for z in self.arz[fit.idx[:self.sp.mu]]])\n            # print lengths[0::int(self.sp.mu/5)]\n            self.sigma *= np.exp(self.sp.mueff**0.5 * dot(self.sp.weights, lengths / self.const.chiN - 1))**(2/(N+1))\n\n        if 11 < 3 and self.opts['vv']:\n            if self.countiter < 2:\n                print('constant sigma applied')\n                print(self.opts['vv'])  # N=10,lam=10: 0.8 is optimal\n            self.sigma = self.opts['vv'] * self.sp.mueff * sum(self.mean**2)**0.5 / N\n\n        if self.sigma * min(self.dC)**0.5 < self.opts['minstd']:\n            self.sigma = self.opts['minstd'] / min(self.dC)**0.5\n        # g = self.countiter\n        # N = self.N\n        mindx = eval(self.opts['mindx']) if type(self.opts['mindx']) == type('') else self.opts['mindx']\n        if self.sigma * min(self.D) < mindx:  # TODO: sigma_vec is missing here\n            self.sigma = mindx / min(self.D)\n\n        if self.sigma > 1e9 * self.sigma0:\n            alpha = self.sigma / max(self.D)\n            self.multiplyC(alpha)\n            self.sigma /= alpha**0.5\n            self.opts['tolupsigma'] /= alpha**0.5  # to be compared with sigma\n\n        # TODO increase sigma in case of a plateau?\n\n        # Uncertainty noise measurement is done on an upper level\n\n        # output, has moved up, e.g. as part of fmin, TODO to be removed\n        if 11 < 3 and self.opts['verb_log'] > 0 and (self.countiter < 4 or\n                                          self.countiter % self.opts['verb_log'] == 0):\n            # this assumes that two logger with the same name access the same data!\n            CMADataLogger(self.opts['verb_filenameprefix']).register(self, append=True).add()\n            # self.writeOutput(solutions[fit.idx[0]])\n\n        self.flgtelldone = True\n    # end tell()\n\n    def result(self):\n        \"\"\"return ``(xbest, f(xbest), evaluations_xbest, evaluations, iterations, pheno(xmean), effective_stds)``\"\"\"\n        # TODO: how about xcurrent?\n        return self.best.get() + (\n            self.countevals, self.countiter, self.gp.pheno(self.mean), self.gp.scales * self.sigma * self.sigma_vec * self.dC**0.5)\n\n    def clip_or_fit_solutions(self, pop, idx):\n        \"\"\"make sure that solutions fit to sample distribution, this interface will probably change.\n\n        In particular the frequency of long vectors appearing in pop[idx] - self.mean is limited.\n\n        \"\"\"\n        for k in idx:\n            self.repair_genotype(pop[k])\n\n    def repair_genotype(self, x):\n        \"\"\"make sure that solutions fit to sample distribution, this interface will probably change.\n\n        In particular the frequency of x - self.mean being long is limited.\n\n        \"\"\"\n        mold = self.mean\n        if 1 < 3:  # hard clip at upper_length\n            upper_length = self.N**0.5 + 2 * self.N / (self.N+2)  # should become an Option, but how? e.g. [0, 2, 2]\n            fac = self.mahalanobisNorm(x - mold) / upper_length\n\n            if fac > 1:\n                x = (x - mold) / fac + mold\n                # print self.countiter, k, fac, self.mahalanobisNorm(pop[k] - mold)\n                # adapt also sigma: which are the trust-worthy/injected solutions?\n            elif 11 < 3:\n                return exp(np.tanh(((upper_length*fac)**2/self.N-1)/2) / 2)\n        else:\n            if 'checktail' not in self.__dict__:  # hasattr(self, 'checktail')\n                raise NotImplementedError\n                # from check_tail_smooth import CheckTail  # for the time being\n                # self.checktail = CheckTail()\n                # print('untested feature checktail is on')\n            fac = self.checktail.addchin(self.mahalanobisNorm(x - mold))\n\n            if fac < 1:\n                x = fac * (x - mold) + mold\n\n        return 1.0  # sigma_fac, not in use\n\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    def updateBD(self):\n        \"\"\"update internal variables for sampling the distribution with the\n        current covariance matrix C. This method is O(N^3), if C is not diagonal.\n\n        \"\"\"\n        # itereigenupdated is always up-to-date in the diagonal case\n        # just double check here\n        if self.itereigenupdated == self.countiter:\n            return\n\n        if self.sp.neg.cmuexp:  # cave:\n            self.update_exponential(self.Zneg, -self.sp.neg.cmuexp)\n            # self.C += self.Zpos  # pos update after Zneg would be the correct update, overall:\n            # self.C = self.Zpos + Cs * Mh.expms(-self.sp.neg.cmuexp*Csi*self.Zneg*Csi) * Cs\n            self.Zneg = np.zeros((self.N, self.N))\n\n        if self.sigma_vec is not 1 and not np.all(self.sigma_vec == 1):\n            self.C = dot(dot(np.diag(self.sigma_vec), self.C), np.diag(self.sigma_vec))\n            self.sigma_vec[:] = 1\n\n        if self.opts['CMA_const_trace'] in (True, 1, 2):  # normalize trace of C\n            if self.opts['CMA_const_trace'] == 2:\n                s = np.exp(np.mean(np.log(self.dC)))\n            else:\n                s = np.mean(self.dC)\n            self.C /= s\n            self.dC /= s\n        self.C = (self.C + self.C.T) / 2\n        # self.C = np.triu(self.C) + np.triu(self.C,1).T  # should work as well\n        # self.D, self.B = eigh(self.C) # hermitian, ie symmetric C is assumed\n\n        if type(self.opts['CMA_eigenmethod']) == type(1):\n            print('WARNING: option CMA_eigenmethod should be a function, not an integer')\n            if self.opts['CMA_eigenmethod'] == -1:\n                # pygsl\n                # easy to install (well, in Windows install gsl binaries first,\n                # set system path to respective libgsl-0.dll (or cp the dll to\n                # python\\DLLS ?), in unzipped pygsl edit\n                # gsl_dist/gsl_site_example.py into gsl_dist/gsl_site.py\n                # and run \"python setup.py build\" and \"python setup.py install\"\n                # in MINGW32)\n                if 1 < 3:  # import pygsl on the fly\n                    try:\n                        import pygsl.eigen.eigenvectors  # TODO efficient enough?\n                    except ImportError:\n                        print('WARNING: could not find pygsl.eigen module, either install pygsl \\n' +\n                              '  or set option CMA_eigenmethod=1 (is much slower), option set to 1')\n                        self.opts['CMA_eigenmethod'] = 0  # use 0 if 1 is too slow\n\n                    self.D, self.B = pygsl.eigen.eigenvectors(self.C)\n\n            elif self.opts['CMA_eigenmethod'] == 0:\n                # TODO: thoroughly test np.linalg.eigh\n                #       numpy.linalg.eig crashes in 200-D\n                #       and EVecs with same EVals are not orthogonal\n                self.D, self.B = np.linalg.eigh(self.C)  # self.B[i] is a row and not an eigenvector\n            else:  # is overall two;ten times slower in 10;20-D\n                self.D, self.B = Misc.eig(self.C)  # def eig, see below\n        else:\n            self.D, self.B = self.opts['CMA_eigenmethod'](self.C)\n\n\n        # assert(sum(self.D-DD) < 1e-6)\n        # assert(sum(sum(np.dot(BB, BB.T)-np.eye(self.N))) < 1e-6)\n        # assert(sum(sum(np.dot(BB * DD, BB.T) - self.C)) < 1e-6)\n        idx = np.argsort(self.D)\n        self.D = self.D[idx]\n        self.B = self.B[:,idx]  # self.B[i] is a row, columns self.B[:,i] are eigenvectors\n        # assert(all(self.B[self.countiter % self.N] == self.B[self.countiter % self.N,:]))\n\n        # qqqqqqqqqq\n        if 11 < 3:  # limit condition number to 1e13\n            climit = 1e13  # cave: conditioncov termination is 1e14\n            if self.D[-1] / self.D[0] > climit:\n                self.D += self.D[-1] / climit\n            for i in range(self.N):\n                self.C[i][i] += self.D[-1] / climit\n\n        if 11 < 3 and any(abs(sum(self.B[:,0:self.N-1] * self.B[:,1:], 0)) > 1e-6):\n            print('B is not orthogonal')\n            print(self.D)\n            print(sum(self.B[:,0:self.N-1] * self.B[:,1:], 0))\n        else:\n            # is O(N^3)\n            # assert(sum(abs(self.C - np.dot(self.D * self.B,  self.B.T))) < N**2*1e-11)\n            pass\n        self.D **= 0.5\n        self.itereigenupdated = self.countiter\n\n    def multiplyC(self, alpha):\n        \"\"\"multiply C with a scalar and update all related internal variables (dC, D,...)\"\"\"\n        self.C *= alpha\n        if self.dC is not self.C:\n            self.dC *= alpha\n        self.D *= alpha**0.5\n    def update_exponential(self, Z, eta, BDpair=None):\n        \"\"\"exponential update of C that guarantees positive definiteness, that is,\n        instead of the assignment ``C = C + eta * Z``,\n        C gets C**.5 * exp(eta * C**-.5 * Z * C**-.5) * C**.5.\n\n        Parameter Z should have expectation zero, e.g. sum(w[i] * z[i] * z[i].T) - C\n        if E z z.T = C.\n\n        This function conducts two eigendecompositions, assuming that\n        B and D are not up to date, unless `BDpair` is given. Given BDpair,\n        B is the eigensystem and D is the vector of sqrt(eigenvalues), one\n        eigendecomposition is omitted.\n\n        Reference: Glasmachers et al 2010, Exponential Natural Evolution Strategies\n\n        \"\"\"\n        if eta == 0:\n            return\n        if BDpair:\n            B, D = BDpair\n        else:\n            D, B = self.opts['CMA_eigenmethod'](self.C)\n            D **= 0.5\n        Csi = dot(B, (B / D).T)\n        Cs = dot(B, (B * D).T)\n        self.C = dot(Cs, dot(Mh.expms(eta * dot(Csi, dot(Z, Csi)), self.opts['CMA_eigenmethod']), Cs))\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    def _updateCholesky(self, A, Ainv, p, alpha, beta):\n        \"\"\"not yet implemented\"\"\"\n        # BD is A, p is A*Normal(0,I) distributed\n        # input is assumed to be numpy arrays\n        # Ainv is needed to compute the evolution path\n        # this is a stump and is not tested\n\n        raise _Error(\"not yet implemented\")\n        # prepare\n        alpha = float(alpha)\n        beta = float(beta)\n        y = np.dot(Ainv, p)\n        y_sum = sum(y**2)\n\n        # compute scalars\n        tmp = sqrt(1 + beta * y_sum / alpha)\n        fac = (sqrt(alpha) / sum(y**2)) * (tmp - 1)\n        facinv = (1. / (sqrt(alpha) * sum(y**2))) * (1 - 1. / tmp)\n\n        # update matrices\n        A *= sqrt(alpha)\n        A += np.outer(fac * p, y)\n        Ainv /= sqrt(alpha)\n        Ainv -= np.outer(facinv * y, np.dot(y.T, Ainv))\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def feedForResume(self, X, function_values):\n        \"\"\"Given all \"previous\" candidate solutions and their respective\n        function values, the state of a `CMAEvolutionStrategy` object\n        can be reconstructed from this history. This is the purpose of\n        function `feedForResume`.\n\n        Arguments\n        ---------\n            `X`\n              (all) solution points in chronological order, phenotypic\n              representation. The number of points must be a multiple\n              of popsize.\n            `function_values`\n              respective objective function values\n\n        Details\n        -------\n        `feedForResume` can be called repeatedly with only parts of\n        the history. The part must have the length of a multiple\n        of the population size.\n        `feedForResume` feeds the history in popsize-chunks into `tell`.\n        The state of the random number generator might not be\n        reconstructed, but this would be only relevant for the future.\n\n        Example\n        -------\n        ::\n\n            import cma\n\n            # prepare\n            (x0, sigma0) = ... # initial values from previous trial\n            X = ... # list of generated solutions from a previous trial\n            f = ... # respective list of f-values\n\n            # resume\n            es = cma.CMAEvolutionStrategy(x0, sigma0)\n            es.feedForResume(X, f)\n\n            # continue with func as objective function\n            while not es.stop():\n               X = es.ask()\n               es.tell(X, [func(x) for x in X])\n\n        Credits to Dirk Bueche and Fabrice Marchal for the feeding idea.\n\n        :See: class `CMAEvolutionStrategy` for a simple dump/load to resume\n\n        \"\"\"\n        if self.countiter > 0:\n            print('WARNING: feed should generally be used with a new object instance')\n        if len(X) != len(function_values):\n            raise _Error('number of solutions ' + str(len(X)) +\n                ' and number function values ' +\n                str(len(function_values))+' must not differ')\n        popsize = self.sp.popsize\n        if (len(X) % popsize) != 0:\n            raise _Error('number of solutions ' + str(len(X)) +\n                    ' must be a multiple of popsize (lambda) ' +\n                    str(popsize))\n        for i in range(len(X) / popsize):\n            # feed in chunks of size popsize\n            self.ask()  # a fake ask, mainly for a conditioned calling of updateBD\n                        # and secondary to get possibly the same random state\n            self.tell(X[i*popsize:(i+1)*popsize], function_values[i*popsize:(i+1)*popsize])\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def readProperties(self):\n        \"\"\"reads dynamic parameters from property file (not implemented)\n        \"\"\"\n        print('not yet implemented')\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def mahalanobisNorm(self, dx):\n        \"\"\"\n        compute the Mahalanobis norm that is induced by the adapted covariance\n        matrix C times sigma**2.\n\n        Argument\n        --------\n        A *genotype* difference `dx`.\n\n        Example\n        -------\n        >>> import cma, numpy\n        >>> es = cma.CMAEvolutionStrategy(numpy.ones(10), 1)\n        >>> xx = numpy.random.randn(2, 10)\n        >>> d = es.mahalanobisNorm(es.gp.geno(xx[0]-xx[1]))\n\n        `d` is the distance \"in\" the true sample distribution,\n        sampled points have a typical distance of ``sqrt(2*es.N)``,\n        where `N` is the dimension. In the example, `d` is the\n        Euclidean distance, because C = I and sigma = 1.\n\n        \"\"\"\n        return sqrt(sum((self.D**-1 * np.dot(self.B.T, dx))**2)) / self.sigma\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    def timesCroot(self, mat):\n        \"\"\"return C**0.5 times mat, where mat can be a vector or matrix.\n        Not functional, because _Croot=C**0.5 is never computed (should be in updateBD)\n        \"\"\"\n        print(\"WARNING: timesCroot is not yet tested\")\n        if self.opts['CMA_diagonal'] is True \\\n                       or self.countiter <= self.opts['CMA_diagonal']:\n            res = (self._Croot * mat.T).T\n        else:\n            res = np.dot(self._Croot, mat)\n        return res\n    def divCroot(self, mat):\n        \"\"\"return C**-1/2 times mat, where mat can be a vector or matrix\"\"\"\n        print(\"WARNING: divCroot is not yet tested\")\n        if self.opts['CMA_diagonal'] is True \\\n                       or self.countiter <= self.opts['CMA_diagonal']:\n            res = (self._Crootinv * mat.T).T\n        else:\n            res = np.dot(self._Crootinv, mat)\n        return res\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def disp_annotation(self):\n        \"\"\"print annotation for `disp()`\"\"\"\n        print('Iterat #Fevals   function value     axis ratio  sigma   minstd maxstd min:sec')\n        sys.stdout.flush()\n\n    #____________________________________________________________\n    #____________________________________________________________\n    def disp(self, modulo=None):  # TODO: rather assign opt['verb_disp'] as default?\n        \"\"\"prints some infos according to `disp_annotation()`, if\n        ``iteration_counter % modulo == 0``\n\n        \"\"\"\n        if modulo is None:\n            modulo = self.opts['verb_disp']\n\n        # console display\n        if modulo:\n            if (self.countiter-1) % (10 * modulo) < 1:\n                self.disp_annotation()\n            if self.countiter > 0 and (self.stop() or self.countiter < 4\n                              or self.countiter % modulo < 1):\n                if self.opts['verb_time']:\n                    toc = self.elapsed_time()\n                    stime = str(int(toc//60))+':'+str(round(toc%60,1))\n                else:\n                    stime = ''\n                print(' '.join((repr(self.countiter).rjust(5),\n                                repr(self.countevals).rjust(7),\n                                '%.15e' % (min(self.fit.fit)),\n                                '%4.1e' % (self.D.max()/self.D.min()),\n                                '%6.2e' % self.sigma,\n                                '%6.0e' % (self.sigma * sqrt(min(self.dC))),\n                                '%6.0e' % (self.sigma * sqrt(max(self.dC))),\n                                stime)))\n                # if self.countiter < 4:\n                sys.stdout.flush()\n\nclass Options(dict):\n    \"\"\"``Options()`` returns a dictionary with the available options and their\n    default values for function fmin and for class CMAEvolutionStrategy.\n\n    ``Options(opts)`` returns the subset of recognized options in dict(opts).\n\n    ``Options('pop')`` returns a subset of recognized options that contain\n    'pop' in there keyword name, value or description.\n\n    Option values can be \"written\" in a string and, when passed to fmin\n    or CMAEvolutionStrategy, are evaluated using \"N\" and \"popsize\" as\n    known values for dimension and population size (sample size, number\n    of new solutions per iteration). All default option values are such\n    a string.\n\n    Details\n    -------\n    All Options are originally defined via the input arguments of\n    `fmin()`.\n\n    Options starting with ``tol`` are termination \"tolerances\".\n\n    For `tolstagnation`, the median over the first and the second half\n    of at least `tolstagnation` iterations are compared for both, the\n    per-iteration best and per-iteration median function value.\n    Some options are, as mentioned (`restarts`,...), only used with `fmin`.\n\n    Example\n    -------\n    ::\n\n        import cma\n        cma.Options('tol')\n\n    is a shortcut for cma.Options().match('tol') that returns all options\n    that contain 'tol' in their name or description.\n\n    :See: `fmin`(), `CMAEvolutionStrategy`, `CMAParameters`\n\n    \"\"\"\n\n    # @classmethod # self is the class, not the instance\n    # @property\n    # def default(self):\n    #     \"\"\"returns all options with defaults\"\"\"\n    #     return fmin([],[])\n\n    @staticmethod\n    def defaults():\n        \"\"\"return a dictionary with default option values and description,\n        calls `fmin([], [])`\"\"\"\n        return fmin([], [])\n\n    @staticmethod\n    def versatileOptions():\n        \"\"\"return list of options that can be changed at any time (not only be\n        initialized), however the list might not be entirely up to date. The\n        string ' #v ' in the default value indicates a 'versatile' option\n        that can be changed any time.\n\n        \"\"\"\n        return tuple(sorted(i[0] for i in list(Options.defaults().items()) if i[1].find(' #v ') > 0))\n\n    def __init__(self, s=None, unchecked=False):\n        \"\"\"return an `Options` instance, either with the default options,\n        if ``s is None``, or with all options whose name or description\n        contains `s`, if `s` is a string (case is disregarded),\n        or with entries from dictionary `s` as options, not complemented\n        with default options or settings\n\n        Returns: see above.\n\n        \"\"\"\n        # if not Options.defaults:  # this is different from self.defaults!!!\n        #     Options.defaults = fmin([],[])\n        if s is None:\n            super(Options, self).__init__(Options.defaults())\n            # self = Options.defaults()\n        elif type(s) is str:\n            super(Options, self).__init__(Options().match(s))\n            # we could return here\n        else:\n            super(Options, self).__init__(s)\n\n        if not unchecked:\n            for key in list(self.keys()):\n                if key not in Options.defaults():\n                    print('Warning in cma.Options.__init__(): invalid key ``' + str(key) + '`` popped')\n                    self.pop(key)\n        # self.evaluated = False  # would become an option entry\n\n    def init(self, dict_or_str, val=None, warn=True):\n        \"\"\"initialize one or several options.\n\n        Arguments\n        ---------\n            `dict_or_str`\n                a dictionary if ``val is None``, otherwise a key.\n                If `val` is provided `dict_or_str` must be a valid key.\n            `val`\n                value for key\n\n        Details\n        -------\n        Only known keys are accepted. Known keys are in `Options.defaults()`\n\n        \"\"\"\n        #dic = dict_or_key if val is None else {dict_or_key:val}\n        dic = dict_or_str\n        if val is not None:\n            dic = {dict_or_str:val}\n\n        for key, val in list(dic.items()):\n            if key not in Options.defaults():\n                # TODO: find a better solution?\n                if warn:\n                    print('Warning in cma.Options.init(): key ' +\n                        str(key) + ' ignored')\n            else:\n                self[key] = val\n\n        return self\n\n    def set(self, dic, val=None, warn=True):\n        \"\"\"set can assign versatile options from `Options.versatileOptions()`\n        with a new value, use `init()` for the others.\n\n        Arguments\n        ---------\n            `dic`\n                either a dictionary or a key. In the latter\n                case, val must be provided\n            `val`\n                value for key\n            `warn`\n                bool, print a warning if the option cannot be changed\n                and is therefore omitted\n\n        This method will be most probably used with the ``opts`` attribute of\n        a `CMAEvolutionStrategy` instance.\n\n        \"\"\"\n        if val is not None:  # dic is a key in this case\n            dic = {dic:val}  # compose a dictionary\n        for key, val in list(dic.items()):\n            if key in Options.versatileOptions():\n                self[key] = val\n            elif warn:\n                print('Warning in cma.Options.set(): key ' + str(key) + ' ignored')\n        return self  # to allow o = Options(o).set(new)\n\n    def complement(self):\n        \"\"\"add all missing options with their default values\"\"\"\n\n        for key in Options.defaults():\n            if key not in self:\n                self[key] = Options.defaults()[key]\n        return self\n\n    def settable(self):\n        \"\"\"return the subset of those options that are settable at any\n        time.\n\n        Settable options are in `versatileOptions()`, but the\n        list might be incomlete.\n\n        \"\"\"\n        return Options([i for i in list(self.items())\n                                if i[0] in Options.versatileOptions()])\n\n    def __call__(self, key, default=None, loc=None):\n        \"\"\"evaluate and return the value of option `key` on the fly, or\n        returns those options whose name or description contains `key`,\n        case disregarded.\n\n        Details\n        -------\n        Keys that contain `filename` are not evaluated.\n        For ``loc==None``, `self` is used as environment\n        but this does not define `N`.\n\n        :See: `eval()`, `evalall()`\n\n        \"\"\"\n        try:\n            val = self[key]\n        except:\n            return self.match(key)\n\n        if loc is None:\n            loc = self  # TODO: this hack is not so useful: popsize could be there, but N is missing\n        try:\n            if type(val) is str:\n                val = val.split('#')[0].strip()  # remove comments\n                if type(val) == type('') and key.find('filename') < 0 and key.find('mindx') < 0:\n                    val = eval(val, globals(), loc)\n            # invoke default\n            # TODO: val in ... fails with array type, because it is applied element wise!\n            # elif val in (None,(),[],{}) and default is not None:\n            elif val is None and default is not None:\n                val = eval(str(default), globals(), loc)\n        except:\n            pass  # slighly optimistic: the previous is bug-free\n        return val\n\n    def eval(self, key, default=None, loc=None):\n        \"\"\"Evaluates and sets the specified option value in\n        environment `loc`. Many options need `N` to be defined in\n        `loc`, some need `popsize`.\n\n        Details\n        -------\n        Keys that contain 'filename' are not evaluated.\n        For `loc` is None, the self-dict is used as environment\n\n        :See: `evalall()`, `__call__`\n\n        \"\"\"\n        self[key] = self(key, default, loc)\n        return self[key]\n\n    def evalall(self, loc=None):\n        \"\"\"Evaluates all option values in environment `loc`.\n\n        :See: `eval()`\n\n        \"\"\"\n        # TODO: this needs rather the parameter N instead of loc\n        if 'N' in list(loc.keys()):  # TODO: __init__ of CMA can be simplified\n            popsize = self('popsize', Options.defaults()['popsize'], loc)\n            for k in list(self.keys()):\n                self.eval(k, Options.defaults()[k],\n                          {'N':loc['N'], 'popsize':popsize})\n        return self\n\n    def match(self, s=''):\n        \"\"\"return all options that match, in the name or the description,\n        with string `s`, case is disregarded.\n\n        Example: ``cma.Options().match('verb')`` returns the verbosity options.\n\n        \"\"\"\n        match = s.lower()\n        res = {}\n        for k in sorted(self):\n            s = str(k) + '=\\'' + str(self[k]) + '\\''\n            if match in s.lower():\n                res[k] = self[k]\n        return Options(res)\n\n    def pp(self):\n        pprint(self)\n\n    def printme(self, linebreak=80):\n        for i in sorted(Options.defaults().items()):\n            s = str(i[0]) + \"='\" + str(i[1]) + \"'\"\n            a = s.split(' ')\n\n            # print s in chunks\n            l = ''  # start entire to the left\n            while a:\n                while a and len(l) + len(a[0]) < linebreak:\n                    l += ' ' + a.pop(0)\n                print(l)\n                l = '        '  # tab for subsequent lines\n\n#____________________________________________________________\n#____________________________________________________________\nclass CMAParameters(object):\n    \"\"\"strategy parameters like population size and learning rates.\n\n    Note:\n        contrary to `Options`, `CMAParameters` is not (yet) part of the\n        \"user-interface\" and subject to future changes (it might become\n        a `collections.namedtuple`)\n\n    Example\n    -------\n    >>> import cma\n    >>> es = cma.CMAEvolutionStrategy(20 * [0.1], 1)\n    (6_w,12)-CMA-ES (mu_w=3.7,w_1=40%) in dimension 20 (seed=504519190)  # the seed is \"random\" by default\n    >>>\n    >>> type(es.sp)  # sp contains the strategy parameters\n    <class 'cma.CMAParameters'>\n    >>>\n    >>> es.sp.disp()\n    {'CMA_on': True,\n     'N': 20,\n     'c1': 0.004181139918745593,\n     'c1_sep': 0.034327992810300939,\n     'cc': 0.17176721127681213,\n     'cc_sep': 0.25259494835857677,\n     'cmean': 1.0,\n     'cmu': 0.0085149624979034746,\n     'cmu_sep': 0.057796356229390715,\n     'cs': 0.21434997799189287,\n     'damps': 1.2143499779918929,\n     'mu': 6,\n     'mu_f': 6.0,\n     'mueff': 3.7294589343030671,\n     'popsize': 12,\n     'rankmualpha': 0.3,\n     'weights': array([ 0.40240294,  0.25338908,  0.16622156,  0.10437523,  0.05640348,\n            0.01720771])}\n    >>>\n    >> es.sp == cma.CMAParameters(20, 12, cma.Options().evalall({'N': 20}))\n    True\n\n    :See: `Options`, `CMAEvolutionStrategy`\n\n    \"\"\"\n    def __init__(self, N, opts, ccovfac=1, verbose=True):\n        \"\"\"Compute strategy parameters, mainly depending on\n        dimension and population size, by calling `set`\n\n        \"\"\"\n        self.N = N\n        if ccovfac == 1:\n            ccovfac = opts['CMA_on']  # that's a hack\n        self.set(opts, ccovfac=ccovfac, verbose=verbose)\n\n    def set(self, opts, popsize=None, ccovfac=1, verbose=True):\n        \"\"\"Compute strategy parameters as a function\n        of dimension and population size \"\"\"\n\n        alpha_cc = 1.0  # cc-correction for mueff, was zero before\n\n        def cone(df, mu, N, alphacov=2.0):\n            \"\"\"rank one update learning rate, ``df`` is disregarded and obsolete, reduce alphacov on noisy problems, say to 0.5\"\"\"\n            return alphacov / ((N + 1.3)**2 + mu)\n\n        def cmu(df, mu, alphamu=0.0, alphacov=2.0):\n            \"\"\"rank mu learning rate, disregarding the constrant cmu <= 1 - cone\"\"\"\n            c = alphacov * (alphamu + mu - 2 + 1/mu) / ((N + 2)**2 + alphacov * mu / 2)\n            # c = alphacov * (alphamu + mu - 2 + 1/mu) / (2 * (N + 2)**1.5 + alphacov * mu / 2)\n            # print 'cmu =', c\n            return c\n\n        def conedf(df, mu, N):\n            \"\"\"used for computing separable learning rate\"\"\"\n            return 1. / (df + 2.*sqrt(df) + float(mu)/N)\n\n        def cmudf(df, mu, alphamu):\n            \"\"\"used for computing separable learning rate\"\"\"\n            return (alphamu + mu - 2. + 1./mu) / (df + 4.*sqrt(df) + mu/2.)\n\n        sp = self\n        N = sp.N\n        if popsize:\n            opts.evalall({'N':N, 'popsize':popsize})\n        else:\n            popsize = opts.evalall({'N':N})['popsize']  # the default popsize is computed in Options()\n        sp.popsize = popsize\n        if opts['CMA_mirrors'] < 0.5:\n            sp.lam_mirr = int(0.5 + opts['CMA_mirrors'] * popsize)\n        elif opts['CMA_mirrors'] > 1:\n            sp.lam_mirr = int(0.5 + opts['CMA_mirrors'])\n        else:\n            sp.lam_mirr = int(0.5 + 0.16 * min((popsize, 2 * N + 2)) + 0.29)  # 0.158650... * popsize is optimal\n            # lam = arange(2,22)\n            # mirr = 0.16 + 0.29/lam\n            # print(lam); print([int(0.5 + l) for l in mirr*lam])\n            # [ 2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21]\n            # [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4]\n\n        sp.mu_f = sp.popsize / 2.0  # float value of mu\n        if opts['CMA_mu'] is not None:\n            sp.mu_f = opts['CMA_mu']\n        sp.mu = int(sp.mu_f + 0.499999) # round down for x.5\n        # in principle we have mu_opt = popsize/2 + lam_mirr/2,\n        # which means in particular weights should only be negative for q > 0.5+mirr_frac/2\n        if sp.mu > sp.popsize - 2 * sp.lam_mirr + 1:\n            print(\"WARNING: pairwise selection is not implemented, therefore \" +\n                  \" mu = %d > %d = %d - 2*%d + 1 = popsize - 2*mirr + 1 can produce a bias\" % (\n                    sp.mu, sp.popsize - 2 * sp.lam_mirr + 1, sp.popsize, sp.lam_mirr))\n        if sp.lam_mirr > sp.popsize // 2:\n            raise _Error(\"fraction of mirrors in the population as read from option CMA_mirrors cannot be larger 0.5, \" +\n                         \"theoretically optimal is 0.159\")\n        sp.weights = log(max([sp.mu, sp.popsize / 2.0]) + 0.5) - log(1 + np.arange(sp.mu))\n        if 11 < 3:  # equal recombination weights\n            sp.mu = sp.popsize // 4\n            sp.weights = np.ones(sp.mu)\n            print(sp.weights[:10])\n        sp.weights /= sum(sp.weights)\n        sp.mueff = 1 / sum(sp.weights**2)\n        sp.cs = (sp.mueff + 2) / (N + sp.mueff + 3)\n        # TODO: clean up (here the cumulation constant is shorter if sigma_vec is used)\n        sp.dampsvec = opts['CMA_dampsvec_fac'] * (N + 2) if opts['CMA_dampsvec_fac'] else np.Inf\n        sp.dampsvec_fading = opts['CMA_dampsvec_fade']\n        if np.isfinite(sp.dampsvec):\n            sp.cs = ((sp.mueff + 2) / (N + sp.mueff + 3))**0.5\n        # sp.cs = (sp.mueff + 2) / (N + 1.5*sp.mueff + 1)\n        sp.cc = (4 + alpha_cc * sp.mueff / N) / (N + 4 + alpha_cc * 2 * sp.mueff / N)\n        sp.cc_sep = (1 + 1/N + alpha_cc * sp.mueff / N) / (N**0.5 + 1/N + alpha_cc * 2 * sp.mueff / N) # \\not\\gg\\cc\n        sp.rankmualpha = opts['CMA_rankmualpha']\n        # sp.rankmualpha = _evalOption(opts['CMA_rankmualpha'], 0.3)\n        sp.c1 = ccovfac * min(1, sp.popsize/6) * cone((N**2 + N) / 2, sp.mueff, N) # 2. / ((N+1.3)**2 + sp.mucov)\n        sp.c1_sep = ccovfac * conedf(N, sp.mueff, N)\n        if 11 < 3:\n            sp.c1 = 0.\n            print('c1 is zero')\n        if opts['CMA_rankmu'] != 0:  # also empty\n            sp.cmu = min(1 - sp.c1, ccovfac * cmu((N**2+N)/2, sp.mueff, sp.rankmualpha))\n            sp.cmu_sep = min(1 - sp.c1_sep, ccovfac * cmudf(N, sp.mueff, sp.rankmualpha))\n        else:\n            sp.cmu = sp.cmu_sep = 0\n\n        sp.neg = BlancClass()\n        if opts['CMA_active']:\n            # in principle we have mu_opt = popsize/2 + lam_mirr/2,\n            # which means in particular weights should only be negative for q > 0.5+mirr_frac/2\n            sp.neg.mu_f = popsize - (popsize + sp.lam_mirr) / 2  if popsize > 2 else 1\n            sp.neg.weights = log(sp.mu_f + 0.5) - log(1 + np.arange(sp.popsize - int(sp.neg.mu_f), sp.popsize))\n            sp.neg.mu = len(sp.neg.weights)  # maybe never useful?\n            sp.neg.weights /= sum(sp.neg.weights)\n            sp.neg.mueff = 1 / sum(sp.neg.weights**2)\n            sp.neg.cmuexp = opts['CMA_activefac'] * 0.25 * sp.neg.mueff / ((N+2)**1.5 + 2 * sp.neg.mueff)\n            assert sp.neg.mu >= sp.lam_mirr  # not really necessary\n            # sp.neg.minresidualvariance = 0.66  # not it use, keep at least 0.66 in all directions, small popsize is most critical\n        else:\n            sp.neg.cmuexp = 0\n\n        sp.CMA_on = sp.c1 + sp.cmu > 0\n        # print(sp.c1_sep / sp.cc_sep)\n\n        if not opts['CMA_on'] and opts['CMA_on'] not in (None,[],(),''):\n            sp.CMA_on = False\n            # sp.c1 = sp.cmu = sp.c1_sep = sp.cmu_sep = 0\n\n        sp.damps = opts['CMA_dampfac'] * (0.5 +\n                                          0.5 * min([1, (sp.lam_mirr/(0.159*sp.popsize) - 1)**2])**1 +\n                                          2 * max([0, ((sp.mueff-1) / (N+1))**0.5 - 1]) + sp.cs\n                                          )\n        if 11 < 3:\n            # this is worse than damps = 1 + sp.cs for the (1,10000)-ES on 40D parabolic ridge\n            sp.damps = 0.3 + 2 * max([sp.mueff/sp.popsize, ((sp.mueff-1)/(N+1))**0.5 - 1]) + sp.cs\n        if 11 < 3:\n            # this does not work for lambda = 4*N^2 on the parabolic ridge\n            sp.damps = opts['CMA_dampfac'] * (2 - 0*sp.lam_mirr/sp.popsize) * sp.mueff/sp.popsize + 0.3 + sp.cs  # nicer future setting\n            print('damps =', sp.damps)\n        if 11 < 3:\n            sp.damps = 10 * sp.damps  # 1e99 # (1 + 2*max(0,sqrt((sp.mueff-1)/(N+1))-1)) + sp.cs;\n            # sp.damps = 20 # 1. + 20 * sp.cs**-1  # 1e99 # (1 + 2*max(0,sqrt((sp.mueff-1)/(N+1))-1)) + sp.cs;\n            print('damps is %f' % (sp.damps))\n\n        sp.cmean = float(opts['CMA_cmean'])\n        # sp.kappa = 1  # 4-D, lam=16, rank1, kappa < 4 does not influence convergence rate\n                        # in larger dim it does, 15-D with defaults, kappa=8 factor 2\n        if sp.cmean != 1:\n            print('  cmean = %f' % (sp.cmean))\n\n        if verbose:\n            if not sp.CMA_on:\n                print('covariance matrix adaptation turned off')\n            if opts['CMA_mu'] != None:\n                print('mu = %f' % (sp.mu_f))\n\n        # return self  # the constructor returns itself\n\n    def disp(self):\n        pprint(self.__dict__)\n\n#____________________________________________________________\n#____________________________________________________________\nclass CMAStopDict(dict):\n    \"\"\"keep and update a termination condition dictionary, which is\n    \"usually\" empty and returned by `CMAEvolutionStrategy.stop()`.\n\n    Details\n    -------\n    This could be a nested class, but nested classes cannot be serialized.\n\n    :See: `stop()`\n\n    \"\"\"\n    def __init__(self, d={}):\n        update = (type(d) == CMAEvolutionStrategy)\n        inherit = (type(d) == CMAStopDict)\n        super(CMAStopDict, self).__init__({} if update else d)\n        self._stoplist = d._stoplist if inherit else []    # multiple entries\n        self.lastiter = d.lastiter if inherit else 0  # probably not necessary\n        if update:\n            self._update(d)\n\n    def __call__(self, es):\n        \"\"\"update the dictionary\"\"\"\n        return self._update(es)\n\n    def _addstop(self, key, cond, val=None):\n        if cond:\n            self.stoplist.append(key)  # can have the same key twice\n            if key in list(self.opts.keys()):\n                val = self.opts[key]\n            self[key] = val\n\n    def _update(self, es):\n        \"\"\"Test termination criteria and update dictionary.\n\n        \"\"\"\n        if es.countiter == self.lastiter:\n            if es.countiter == 0:\n                self.__init__()\n                return self\n            try:\n                if es == self.es:\n                    return self\n            except: # self.es not yet assigned\n                pass\n\n        self.lastiter = es.countiter\n        self.es = es\n\n        self.stoplist = []\n\n        N = es.N\n        opts = es.opts\n        self.opts = opts  # a hack to get _addstop going\n\n        # fitness: generic criterion, user defined w/o default\n        self._addstop('ftarget',\n                     es.best.f < opts['ftarget'])\n        # maxiter, maxfevals: generic criteria\n        self._addstop('maxfevals',\n                     es.countevals - 1 >= opts['maxfevals'])\n        self._addstop('maxiter',\n                     es.countiter >= opts['maxiter'])\n        # tolx, tolfacupx: generic criteria\n        # tolfun, tolfunhist (CEC:tolfun includes hist)\n        self._addstop('tolx',\n                     all([es.sigma*xi < opts['tolx'] for xi in es.pc]) and \\\n                     all([es.sigma*xi < opts['tolx'] for xi in sqrt(es.dC)]))\n        self._addstop('tolfacupx',\n                     any([es.sigma * sig > es.sigma0 * opts['tolfacupx']\n                          for sig in sqrt(es.dC)]))\n        self._addstop('tolfun',\n                     es.fit.fit[-1] - es.fit.fit[0] < opts['tolfun'] and \\\n                     max(es.fit.hist) - min(es.fit.hist) < opts['tolfun'])\n        self._addstop('tolfunhist',\n                     len(es.fit.hist) > 9 and \\\n                     max(es.fit.hist) - min(es.fit.hist) <  opts['tolfunhist'])\n\n        # worst seen false positive: table N=80,lam=80, getting worse for fevals=35e3 \\approx 50 * N**1.5\n        # but the median is not so much getting worse\n        # / 5 reflects the sparsity of histbest/median\n        # / 2 reflects the left and right part to be compared\n        l = int(max(opts['tolstagnation'] / 5. / 2, len(es.fit.histbest) / 10));\n        # TODO: why max(..., len(histbest)/10) ???\n        # TODO: the problem in the beginning is only with best ==> ???\n        if 11 < 3:  #\n            print(es.countiter, (opts['tolstagnation'], es.countiter > N * (5 + 100 / es.popsize),\n                        len(es.fit.histbest) > 100,\n                        np.median(es.fit.histmedian[:l]) >= np.median(es.fit.histmedian[l:2*l]),\n                        np.median(es.fit.histbest[:l]) >= np.median(es.fit.histbest[l:2*l])))\n        # equality should handle flat fitness\n        self._addstop('tolstagnation', # leads sometimes early stop on ftablet, fcigtab, N>=50?\n                    1 < 3 and opts['tolstagnation'] and es.countiter > N * (5 + 100 / es.popsize) and\n                    len(es.fit.histbest) > 100 and 2*l < len(es.fit.histbest) and\n                    np.median(es.fit.histmedian[:l]) >= np.median(es.fit.histmedian[l:2*l]) and\n                    np.median(es.fit.histbest[:l]) >= np.median(es.fit.histbest[l:2*l]))\n        # iiinteger: stagnation termination can prevent to find the optimum\n\n        self._addstop('tolupsigma', opts['tolupsigma'] and\n                      es.sigma / es.sigma0 / np.max(es.D) > opts['tolupsigma'])\n\n        if 11 < 3 and 2*l < len(es.fit.histbest):  # TODO: this might go wrong, because the nb of written columns changes\n            tmp = np.array((-np.median(es.fit.histmedian[:l]) + np.median(es.fit.histmedian[l:2*l]),\n                        -np.median(es.fit.histbest[:l]) + np.median(es.fit.histbest[l:2*l])))\n            es.more_to_write += [(10**t if t < 0 else t + 1) for t in tmp] # the latter to get monotonicy\n\n        if 1 < 3:\n            # non-user defined, method specific\n            # noeffectaxis (CEC: 0.1sigma), noeffectcoord (CEC:0.2sigma), conditioncov\n            self._addstop('noeffectcoord',\n                         any([es.mean[i] == es.mean[i] + 0.2*es.sigma*sqrt(es.dC[i])\n                              for i in range(N)]))\n            if opts['CMA_diagonal'] is not True and es.countiter > opts['CMA_diagonal']:\n                i = es.countiter % N\n                self._addstop('noeffectaxis',\n                             sum(es.mean == es.mean + 0.1 * es.sigma * es.D[i] * es.B[:, i]) == N)\n            self._addstop('conditioncov',\n                         es.D[-1] > 1e7 * es.D[0], 1e14)  # TODO\n\n            self._addstop('callback', es.callbackstop)  # termination_callback\n        if len(self):\n            self._addstop('flat fitness: please (re)consider how to compute the fitness more elaborate',\n                         len(es.fit.hist) > 9 and \\\n                         max(es.fit.hist) == min(es.fit.hist))\n        if 11 < 3 and opts['vv'] == 321:\n            self._addstop('||xmean||^2<ftarget', sum(es.mean**2) <= opts['ftarget'])\n\n        return self\n\n#_____________________________________________________________________\n#_____________________________________________________________________\n#\nclass BaseDataLogger2(DerivedDictBase):\n    \"\"\"\"abstract\" base class for a data logger that can be used with an `OOOptimizer`\"\"\"\n    def add(self, optim=None, more_data=[]):\n        \"\"\"abstract method, add a \"data point\" from the state of `optim` into the\n        logger, the argument `optim` can be omitted if it was `register()`-ed before,\n        acts like an event handler\"\"\"\n        raise NotImplementedError()\n    def register(self, optim):\n        \"\"\"abstract method, register an optimizer `optim`, only needed if `add()` is\n        called without a value for the `optim` argument\"\"\"\n        self.optim = optim\n    def disp(self):\n        \"\"\"display some data trace (not implemented)\"\"\"\n        print('method BaseDataLogger.disp() not implemented, to be done in subclass ' + str(type(self)))\n    def plot(self):\n        \"\"\"plot data (not implemented)\"\"\"\n        print('method BaseDataLogger.plot() is not implemented, to be done in subclass ' + str(type(self)))\n    def data(self):\n        \"\"\"return logged data in a dictionary (not implemented)\"\"\"\n        print('method BaseDataLogger.data() is not implemented, to be done in subclass ' + str(type(self)))\nclass BaseDataLogger(object):\n    \"\"\"\"abstract\" base class for a data logger that can be used with an `OOOptimizer`\"\"\"\n    def add(self, optim=None, more_data=[]):\n        \"\"\"abstract method, add a \"data point\" from the state of `optim` into the\n        logger, the argument `optim` can be omitted if it was `register()`-ed before,\n        acts like an event handler\"\"\"\n        raise NotImplementedError()\n    def register(self, optim):\n        \"\"\"abstract method, register an optimizer `optim`, only needed if `add()` is\n        called without a value for the `optim` argument\"\"\"\n        self.optim = optim\n    def disp(self):\n        \"\"\"display some data trace (not implemented)\"\"\"\n        print('method BaseDataLogger.disp() not implemented, to be done in subclass ' + str(type(self)))\n    def plot(self):\n        \"\"\"plot data (not implemented)\"\"\"\n        print('method BaseDataLogger.plot() is not implemented, to be done in subclass ' + str(type(self)))\n    def data(self):\n        \"\"\"return logged data in a dictionary (not implemented)\"\"\"\n        print('method BaseDataLogger.data() is not implemented, to be done in subclass ' + str(type(self)))\n\n#_____________________________________________________________________\n#_____________________________________________________________________\n#\nclass CMADataLogger(BaseDataLogger):  # might become a dict at some point\n    \"\"\"data logger for class `CMAEvolutionStrategy`. The logger is\n    identified by its name prefix and writes or reads according\n    data files.\n\n    Examples\n    ========\n    ::\n\n        import cma\n        es = cma.CMAEvolutionStrategy(...)\n        data = cma.CMADataLogger().register(es)\n        while not es.stop():\n            ...\n            data.add()  # add can also take an argument\n\n        data.plot() # or a short cut can be used:\n        cma.plot()  # plot data from logger with default name\n\n\n        data2 = cma.CMADataLogger(another_filename_prefix).load()\n        data2.plot()\n        data2.disp()\n\n    ::\n\n        import cma\n        from pylab import *\n        res = cma.fmin(cma.Fcts.sphere, rand(10), 1e-0)\n        dat = res[-1]  # the CMADataLogger\n        dat.load()  # by \"default\" data are on disk\n        semilogy(dat.f[:,0], dat.f[:,5])  # plot f versus iteration, see file header\n        show()\n\n    Details\n    =======\n    After loading data, the logger has the attributes `xmean`, `xrecent`, `std`, `f`, and `D`,\n    corresponding to xmean, xrecentbest, stddev, fit, and axlen filename trails.\n\n    :See: `disp()`, `plot()`\n\n    \"\"\"\n    default_prefix = 'outcmaes'\n    # names = ('axlen','fit','stddev','xmean','xrecentbest')\n    # key_names_with_annotation = ('std', 'xmean', 'xrecent')\n\n    def __init__(self, name_prefix=default_prefix, modulo=1, append=False):\n        \"\"\"initialize logging of data from a `CMAEvolutionStrategy` instance,\n        default modulo expands to 1 == log with each call\n\n        \"\"\"\n        # super(CMAData, self).__init__({'iter':[], 'stds':[], 'D':[], 'sig':[], 'fit':[], 'xm':[]})\n        # class properties:\n        self.file_names = ('axlen','fit','stddev','xmean','xrecentbest') # used in load, however hard-coded in add\n        self.key_names = ('D', 'f', 'std', 'xmean', 'xrecent') # used in load, however hard-coded in plot\n        self.key_names_with_annotation = ('std', 'xmean', 'xrecent') # used in load\n        self.modulo = modulo  # allows calling with None\n        self.append = append\n        self.counter = 0  # number of calls of add, should initial value depend on `append`?\n        self.name_prefix = name_prefix if name_prefix else CMADataLogger.default_prefix\n        if type(self.name_prefix) == CMAEvolutionStrategy:\n            self.name_prefix = self.name_prefix.opts.eval('verb_filenameprefix')\n        self.registered = False\n\n    def register(self, es, append=None, modulo=None):\n        \"\"\"register a `CMAEvolutionStrategy` instance for logging,\n        ``append=True`` appends to previous data logged under the same name,\n        by default previous data are overwritten.\n\n        \"\"\"\n        if type(es) != CMAEvolutionStrategy:\n            raise TypeError(\"only class CMAEvolutionStrategy can be registered for logging\")\n        self.es = es\n        if append is not None:\n            self.append = append\n        if modulo is not None:\n            self.modulo = modulo\n        if not self.append and self.modulo != 0:\n            self.initialize()  # write file headers\n        self.registered = True\n        return self\n\n    def initialize(self, modulo=None):\n        \"\"\"reset logger, overwrite original files, `modulo`: log only every modulo call\"\"\"\n        if modulo is not None:\n            self.modulo = modulo\n        try:\n            es = self.es  # must have been registered\n        except AttributeError:\n            pass  # TODO: revise usage of es... that this can pass\n            raise _Error('call register() before initialize()')\n\n        self.counter = 0  # number of calls of add\n\n        # write headers for output\n        fn = self.name_prefix + 'fit.dat'\n        strseedtime = 'seed=%d, %s' % (es.opts['seed'], time.asctime())\n\n        try:\n            with open(fn, 'w') as f:\n                f.write('% # columns=\"iteration, evaluation, sigma, axis ratio, ' +\n                        'bestever, best, median, worst objective function value, ' +\n                        'further objective values of best\", ' +\n                        strseedtime +\n                        # strftime(\"%Y/%m/%d %H:%M:%S\", localtime()) + # just asctime() would do\n                        '\\n')\n        except (IOError, OSError):\n            print('could not open file ' + fn)\n\n        fn = self.name_prefix + 'axlen.dat'\n        try:\n            f = open(fn, 'w')\n            f.write('%  columns=\"iteration, evaluation, sigma, max axis length, ' +\n                    ' min axis length, all principle axes lengths ' +\n                    ' (sorted square roots of eigenvalues of C)\", ' +\n                    strseedtime +\n                    '\\n')\n            f.close()\n        except (IOError, OSError):\n            print('could not open file ' + fn)\n        finally:\n            f.close()\n        fn = self.name_prefix + 'stddev.dat'\n        try:\n            f = open(fn, 'w')\n            f.write('% # columns=[\"iteration, evaluation, sigma, void, void, ' +\n                    ' stds==sigma*sqrt(diag(C))\", ' +\n                    strseedtime +\n                    '\\n')\n            f.close()\n        except (IOError, OSError):\n            print('could not open file ' + fn)\n        finally:\n            f.close()\n\n        fn = self.name_prefix + 'xmean.dat'\n        try:\n            with open(fn, 'w') as f:\n                f.write('% # columns=\"iteration, evaluation, void, void, void, xmean\", ' +\n                        strseedtime)\n                f.write(' # scaling_of_variables: ')\n                if np.size(es.gp.scales) > 1:\n                    f.write(' '.join(map(str, es.gp.scales)))\n                else:\n                    f.write(str(es.gp.scales))\n                f.write(', typical_x: ')\n                if np.size(es.gp.typical_x) > 1:\n                    f.write(' '.join(map(str, es.gp.typical_x)))\n                else:\n                    f.write(str(es.gp.typical_x))\n                f.write('\\n')\n                f.close()\n        except (IOError, OSError):\n            print('could not open/write file ' + fn)\n\n        fn = self.name_prefix + 'xrecentbest.dat'\n        try:\n            with open(fn, 'w') as f:\n                f.write('% # iter+eval+sigma+0+fitness+xbest, ' +\n                        strseedtime +\n                        '\\n')\n        except (IOError, OSError):\n            print('could not open/write file ' + fn)\n\n        return self\n    # end def __init__\n\n    def load(self, filenameprefix=None):\n        \"\"\"loads data from files written and return a data dictionary, *not*\n        a prerequisite for using `plot()` or `disp()`.\n\n        Argument `filenameprefix` is the filename prefix of data to be loaded (five files),\n        by default ``'outcmaes'``.\n\n        Return data dictionary with keys `xrecent`, `xmean`, `f`, `D`, `std`\n\n        \"\"\"\n        if not filenameprefix:\n            filenameprefix = self.name_prefix\n        for i in range(len(self.file_names)):\n            fn = filenameprefix + self.file_names[i] + '.dat'\n            try:\n                self.__dict__[self.key_names[i]] = _fileToMatrix(fn)\n            except:\n                print('WARNING: reading from file \"' + fn + '\" failed')\n            if self.key_names[i] in self.key_names_with_annotation:\n                self.__dict__[self.key_names[i]].append(self.__dict__[self.key_names[i]][-1])  # copy last row to later fill in annotation position for display\n            self.__dict__[self.key_names[i]] = array(self.__dict__[self.key_names[i]], copy=False)\n        return self\n\n    def add(self, es=None, more_data=[], modulo=None): # TODO: find a different way to communicate current x and f\n        \"\"\"append some logging data from `CMAEvolutionStrategy` class instance `es`,\n        if ``number_of_times_called % modulo`` equals to zero, never if ``modulo==0``.\n\n        The sequence ``more_data`` must always have the same length.\n\n        When used for a different optimizer class, this function can be\n        (easily?) adapted by changing the assignments under INTERFACE\n        in the implemention.\n\n        \"\"\"\n        self.counter += 1\n        mod = modulo if modulo is not None else self.modulo\n        if mod == 0 or (self.counter > 3 and self.counter % mod):\n            return\n        if es is None:\n            try:\n                es = self.es  # must have been registered\n            except AttributeError :\n                raise _Error('call `add` with argument `es` or ``register(es)`` before ``add()``')\n        elif not self.registered:\n            self.register(es) # calls initialize\n\n        # --- INTERFACE, can be changed if necessary ---\n        if type(es) is not CMAEvolutionStrategy: # not necessary\n            print('WARNING: <type \\'CMAEvolutionStrategy\\'> expected, found '\n                            + str(type(es)) + ' in method CMADataLogger.add')\n        evals = es.countevals\n        iteration = es.countiter\n        sigma = es.sigma\n        axratio = es.D.max()/es.D.min()\n        xmean = es.mean # TODO: should be optionally phenotype?\n        fmean_noise_free = es.fmean_noise_free\n        fmean = es.fmean\n        try:\n            besteverf = es.best.f\n            bestf = es.fit.fit[0]\n            medianf = es.fit.fit[es.sp.popsize//2]\n            worstf = es.fit.fit[-1]\n        except:\n            if self.counter > 1: # first call without f-values is OK\n                raise\n        try:\n            xrecent = es.best.last.x\n        except:\n            xrecent = None\n        maxD = es.D.max()\n        minD = es.D.min()\n        diagD = es.D\n        diagC = es.sigma*es.sigma_vec*sqrt(es.dC)\n        more_to_write = es.more_to_write\n        es.more_to_write = []\n        # --- end interface ---\n\n        try:\n\n            # fit\n            if self.counter > 1:\n                fn = self.name_prefix + 'fit.dat'\n                with open(fn, 'a') as f:\n                    f.write(str(iteration) + ' '\n                            + str(evals) + ' '\n                            + str(sigma) + ' '\n                            + str(axratio) + ' '\n                            + str(besteverf) + ' '\n                            + '%.16e' % bestf + ' '\n                            + str(medianf) + ' '\n                            + str(worstf) + ' '\n                            # + str(es.sp.popsize) + ' '\n                            # + str(10**es.noiseS) + ' '\n                            # + str(es.sp.cmean) + ' '\n                            + ' '.join(str(i) for i in more_to_write)\n                            + ' '.join(str(i) for i in more_data)\n                            + '\\n')\n            # axlen\n            fn = self.name_prefix + 'axlen.dat'\n            with open(fn, 'a') as f:  # does not rely on reference counting\n                f.write(str(iteration) + ' '\n                        + str(evals) + ' '\n                        + str(sigma) + ' '\n                        + str(maxD) + ' '\n                        + str(minD) + ' '\n                        + ' '.join(map(str, diagD))\n                        + '\\n')\n            # stddev\n            fn = self.name_prefix + 'stddev.dat'\n            with open(fn, 'a') as f:\n                f.write(str(iteration) + ' '\n                        + str(evals) + ' '\n                        + str(sigma) + ' '\n                        + '0 0 '\n                        + ' '.join(map(str, diagC))\n                        + '\\n')\n            # xmean\n            fn = self.name_prefix + 'xmean.dat'\n            with open(fn, 'a') as f:\n                if iteration < 1: # before first iteration\n                    f.write('0 0 0 0 0 '\n                            + ' '.join(map(str, xmean))\n                            + '\\n')\n                else:\n                    f.write(str(iteration) + ' '\n                            + str(evals) + ' '\n                            # + str(sigma) + ' '\n                            + '0 '\n                            + str(fmean_noise_free) + ' '\n                            + str(fmean) + ' '  # TODO: this does not make sense\n                            # TODO should be optional the phenotyp?\n                            + ' '.join(map(str, xmean))\n                            + '\\n')\n            # xrecent\n            fn = self.name_prefix + 'xrecentbest.dat'\n            if iteration > 0 and xrecent is not None:\n                with open(fn, 'a') as f:\n                    f.write(str(iteration) + ' '\n                            + str(evals) + ' '\n                            + str(sigma) + ' '\n                            + '0 '\n                            + str(bestf) + ' '\n                            + ' '.join(map(str, xrecent))\n                            + '\\n')\n\n        except (IOError, OSError):\n            if iteration <= 1:\n                print('could not open/write file')\n\n    def closefig(self):\n        pylab.close(self.fighandle)\n\n    def save(self, nameprefix, switch=False):\n        \"\"\"saves logger data to a different set of files, for\n        ``switch=True`` also the loggers name prefix is switched to\n        the new value\n\n        \"\"\"\n        if not nameprefix or type(nameprefix) is not str:\n            _Error('filename prefix must be a nonempty string')\n\n        if nameprefix == self.default_prefix:\n            _Error('cannot save to default name \"' + nameprefix + '...\", chose another name')\n\n        if nameprefix == self.name_prefix:\n            return\n\n        for name in CMADataLogger.names:\n            open(nameprefix+name+'.dat', 'w').write(open(self.name_prefix+name+'.dat').read())\n\n        if switch:\n            self.name_prefix = nameprefix\n\n    def plot(self, fig=None, iabscissa=1, iteridx=None, plot_mean=True,  # TODO: plot_mean default should be False\n             foffset=1e-19, x_opt = None, fontsize=10):\n        \"\"\"\n        plot data from a `CMADataLogger` (using the files written by the logger).\n\n        Arguments\n        ---------\n            `fig`\n                figure number, by default 325\n            `iabscissa`\n                ``0==plot`` versus iteration count,\n                ``1==plot`` versus function evaluation number\n            `iteridx`\n                iteration indices to plot\n\n        Return `CMADataLogger` itself.\n\n        Examples\n        --------\n        ::\n\n            import cma\n            logger = cma.CMADataLogger()  # with default name\n            # try to plot the \"default logging\" data (e.g. from previous fmin calls)\n            logger.plot() # to continue you might need to close the pop-up window\n                          # once and call plot() again.\n                          # This behavior seems to disappear in subsequent\n                          # calls of plot(). Also using ipython with -pylab\n                          # option might help.\n            cma.savefig('fig325.png')  # save current figure\n            logger.closefig()\n\n        Dependencies: matlabplotlib/pylab.\n\n        \"\"\"\n\n        dat = self.load(self.name_prefix)\n\n        try:\n            # pylab: prodedural interface for matplotlib\n            from  matplotlib.pylab import figure, ioff, ion, subplot, semilogy, hold, plot, grid, \\\n                 axis, title, text, xlabel, isinteractive, draw, gcf\n\n        except ImportError:\n            ImportError('could not find matplotlib.pylab module, function plot() is not available')\n            return\n\n        if fontsize and pylab.rcParams['font.size'] != fontsize:\n            print('global variable pylab.rcParams[\\'font.size\\'] set (from ' +\n                  str(pylab.rcParams['font.size']) + ') to ' + str(fontsize))\n            pylab.rcParams['font.size'] = fontsize  # subtracted in the end, but return can happen inbetween\n\n        if fig:\n            figure(fig)\n        else:\n            figure(325)\n            # show()  # should not be necessary\n        self.fighandle = gcf()  # fighandle.number\n\n        if iabscissa not in (0,1):\n            iabscissa = 1\n        interactive_status = isinteractive()\n        ioff() # prevents immediate drawing\n\n        dat.x = dat.xmean    # this is the genotyp\n        if not plot_mean:\n            try:\n                dat.x = dat.xrecent\n            except:\n                pass\n        if len(dat.x) < 2:\n            print('not enough data to plot')\n            return {}\n\n        if iteridx is not None:\n            dat.f = dat.f[np.where([x in iteridx for x in dat.f[:,0]])[0],:]\n            dat.D = dat.D[np.where([x in iteridx for x in dat.D[:,0]])[0],:]\n            iteridx.append(dat.x[-1,1])  # last entry is artificial\n            dat.x = dat.x[np.where([x in iteridx for x in dat.x[:,0]])[0],:]\n            dat.std = dat.std[np.where([x in iteridx for x in dat.std[:,0]])[0],:]\n\n        if iabscissa == 0:\n            xlab = 'iterations'\n        elif iabscissa == 1:\n            xlab = 'function evaluations'\n\n        # use fake last entry in x and std for line extension-annotation\n        if dat.x.shape[1] < 100:\n            minxend = int(1.06*dat.x[-2, iabscissa])\n            # write y-values for individual annotation into dat.x\n            dat.x[-1, iabscissa] = minxend  # TODO: should be ax[1]\n            idx = np.argsort(dat.x[-2,5:])\n            idx2 = np.argsort(idx)\n            if x_opt is None:\n                dat.x[-1,5+idx] = np.linspace(np.min(dat.x[:,5:]),\n                            np.max(dat.x[:,5:]), dat.x.shape[1]-5)\n            else:\n                dat.x[-1,5+idx] = np.logspace(np.log10(np.min(abs(dat.x[:,5:]))),\n                            np.log10(np.max(abs(dat.x[:,5:]))), dat.x.shape[1]-5)\n        else:\n            minxend = 0\n\n        if len(dat.f) == 0:\n            print('nothing to plot')\n            return\n\n        # not in use anymore, see formatter above\n        # xticklocs = np.arange(5) * np.round(minxend/4., -int(np.log10(minxend/4.)))\n\n        # dfit(dfit<1e-98) = NaN;\n\n        ioff() # turns update off\n\n        # TODO: if abscissa==0 plot in chunks, ie loop over subsets where dat.f[:,0]==countiter is monotonous\n\n        subplot(2,2,1)\n        self.plotdivers(dat, iabscissa, foffset)\n\n        # TODO: modularize also the remaining subplots\n        subplot(2,2,2)\n        hold(False)\n        if x_opt is not None:  # TODO: differentate neg and pos?\n            semilogy(dat.x[:, iabscissa], abs(dat.x[:,5:]) - x_opt, '-')\n        else:\n            plot(dat.x[:, iabscissa], dat.x[:,5:],'-')\n        hold(True)\n        grid(True)\n        ax = array(axis())\n        # ax[1] = max(minxend, ax[1])\n        axis(ax)\n        ax[1] -= 1e-6\n        if dat.x.shape[1] < 100:\n            yy = np.linspace(ax[2]+1e-6, ax[3]-1e-6, dat.x.shape[1]-5)\n            #yyl = np.sort(dat.x[-1,5:])\n            idx = np.argsort(dat.x[-1,5:])\n            idx2 = np.argsort(idx)\n            if x_opt is not None:\n                semilogy([dat.x[-1, iabscissa], ax[1]], [abs(dat.x[-1,5:]), yy[idx2]], 'k-') # line from last data point\n                semilogy(np.dot(dat.x[-2, iabscissa],[1,1]), array([ax[2]+1e-6, ax[3]-1e-6]), 'k-')\n            else:\n                # plot([dat.x[-1, iabscissa], ax[1]], [dat.x[-1,5:], yy[idx2]], 'k-') # line from last data point\n                plot(np.dot(dat.x[-2, iabscissa],[1,1]), array([ax[2]+1e-6, ax[3]-1e-6]), 'k-')\n            # plot(array([dat.x[-1, iabscissa], ax[1]]),\n            #      reshape(array([dat.x[-1,5:], yy[idx2]]).flatten(), (2,4)), '-k')\n            for i in range(len(idx)):\n                # TODOqqq: annotate phenotypic value!?\n                # text(ax[1], yy[i], 'x(' + str(idx[i]) + ')=' + str(dat.x[-2,5+idx[i]]))\n                text(dat.x[-1,iabscissa], dat.x[-1,5+i], 'x(' + str(i) + ')=' + str(dat.x[-2,5+i]))\n\n        i = 2  # find smallest i where iteration count differs (in case the same row appears twice)\n        while i < len(dat.f) and dat.f[-i][0] == dat.f[-1][0]:\n            i += 1\n        title('Object Variables (' + ('mean' if plot_mean else 'curr best') +\n                ', ' + str(dat.x.shape[1]-5) + '-D, popsize~' +\n                (str(int((dat.f[-1][1] - dat.f[-i][1]) / (dat.f[-1][0] - dat.f[-i][0])))\n                    if len(dat.f.T[0]) > 1 and dat.f[-1][0] > dat.f[-i][0] else 'NA')\n                + ')')\n        # pylab.xticks(xticklocs)\n\n        # Scaling\n        subplot(2,2,3)\n        hold(False)\n        semilogy(dat.D[:, iabscissa], dat.D[:,5:], '-b')\n        hold(True)\n        grid(True)\n        ax = array(axis())\n        # ax[1] = max(minxend, ax[1])\n        axis(ax)\n        title('Scaling (All Main Axes)')\n        # pylab.xticks(xticklocs)\n        xlabel(xlab)\n\n        # standard deviations\n        subplot(2,2,4)\n        hold(False)\n        # remove sigma from stds (graphs become much better readible)\n        dat.std[:,5:] = np.transpose(dat.std[:,5:].T / dat.std[:,2].T)\n        # ax = array(axis())\n        # ax[1] = max(minxend, ax[1])\n        # axis(ax)\n        if 1 < 2 and dat.std.shape[1] < 100:\n            # use fake last entry in x and std for line extension-annotation\n            minxend = int(1.06*dat.x[-2, iabscissa])\n            dat.std[-1, iabscissa] = minxend  # TODO: should be ax[1]\n            idx = np.argsort(dat.std[-2,5:])\n            idx2 = np.argsort(idx)\n            dat.std[-1,5+idx] = np.logspace(np.log10(np.min(dat.std[:,5:])),\n                            np.log10(np.max(dat.std[:,5:])), dat.std.shape[1]-5)\n\n            dat.std[-1, iabscissa] = minxend  # TODO: should be ax[1]\n            yy = np.logspace(np.log10(ax[2]), np.log10(ax[3]), dat.std.shape[1]-5)\n            #yyl = np.sort(dat.std[-1,5:])\n            idx = np.argsort(dat.std[-1,5:])\n            idx2 = np.argsort(idx)\n            # plot(np.dot(dat.std[-2, iabscissa],[1,1]), array([ax[2]+1e-6, ax[3]-1e-6]), 'k-') # vertical separator\n            # vertical separator\n            plot(np.dot(dat.std[-2, iabscissa],[1,1]), array([np.min(dat.std[-2,5:]), np.max(dat.std[-2,5:])]), 'k-')\n            hold(True)\n            # plot([dat.std[-1, iabscissa], ax[1]], [dat.std[-1,5:], yy[idx2]], 'k-') # line from last data point\n            for i in range(len(idx)):\n                # text(ax[1], yy[i], ' '+str(idx[i]))\n                text(dat.std[-1, iabscissa], dat.std[-1, 5+i], ' '+str(i))\n        semilogy(dat.std[:, iabscissa], dat.std[:,5:], '-')\n        grid(True)\n        title('Standard Deviations in All Coordinates')\n        # pylab.xticks(xticklocs)\n        xlabel(xlab)\n        draw()  # does not suffice\n        if interactive_status:\n            ion()  # turns interactive mode on (again)\n            draw()\n        show()\n\n        return self\n\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    @staticmethod\n    def plotdivers(dat, iabscissa, foffset):\n        \"\"\"helper function for `plot()` that plots all what is\n        in the upper left subplot like fitness, sigma, etc.\n\n        Arguments\n        ---------\n            `iabscissa` in ``(0,1)``\n                0==versus fevals, 1==versus iteration\n            `foffset`\n                offset to fitness for log-plot\n\n         :See: `plot()`\n\n        \"\"\"\n        from  matplotlib.pylab import semilogy, hold, grid, \\\n                 axis, title, text\n        fontsize = pylab.rcParams['font.size']\n\n        hold(False)\n\n        dfit = dat.f[:,5]-min(dat.f[:,5])\n        dfit[dfit<1e-98] = np.NaN\n\n        if dat.f.shape[1] > 7:\n            # semilogy(dat.f[:, iabscissa], abs(dat.f[:,[6, 7, 10, 12]])+foffset,'-k')\n            semilogy(dat.f[:, iabscissa], abs(dat.f[:,[6, 7]])+foffset,'-k')\n            hold(True)\n\n        # (larger indices): additional fitness data, for example constraints values\n        if dat.f.shape[1] > 8:\n            # dd = abs(dat.f[:,7:]) + 10*foffset\n            # dd = np.where(dat.f[:,7:]==0, np.NaN, dd) # cannot be\n            semilogy(dat.f[:, iabscissa], np.abs(dat.f[:,8:]) + 10*foffset, 'm')\n            hold(True)\n\n        idx = np.where(dat.f[:,5]>1e-98)[0]  # positive values\n        semilogy(dat.f[idx, iabscissa], dat.f[idx,5]+foffset, '.b')\n        hold(True)\n        grid(True)\n\n        idx = np.where(dat.f[:,5] < -1e-98)  # negative values\n        semilogy(dat.f[idx, iabscissa], abs(dat.f[idx,5])+foffset,'.r')\n\n        semilogy(dat.f[:, iabscissa],abs(dat.f[:,5])+foffset,'-b')\n        semilogy(dat.f[:, iabscissa], dfit, '-c')\n\n        if 11 < 3:  # delta-fitness as points\n            dfit = dat.f[1:, 5] - dat.f[:-1,5]  # should be negative usually\n            semilogy(dat.f[1:,iabscissa],  # abs(fit(g) - fit(g-1))\n                np.abs(dfit)+foffset, '.c')\n            i = dfit > 0\n            # print(np.sum(i) / float(len(dat.f[1:,iabscissa])))\n            semilogy(dat.f[1:,iabscissa][i],  # abs(fit(g) - fit(g-1))\n                np.abs(dfit[i])+foffset, '.r')\n\n        # overall minimum\n        i = np.argmin(dat.f[:,5])\n        semilogy(dat.f[i, iabscissa]*np.ones(2), dat.f[i,5]*np.ones(2), 'rd')\n        # semilogy(dat.f[-1, iabscissa]*np.ones(2), dat.f[-1,4]*np.ones(2), 'rd')\n\n        # AR and sigma\n        semilogy(dat.f[:, iabscissa], dat.f[:,3], '-r') # AR\n        semilogy(dat.f[:, iabscissa], dat.f[:,2],'-g') # sigma\n        semilogy(dat.std[:-1, iabscissa], np.vstack([list(map(max, dat.std[:-1,5:])), list(map(min, dat.std[:-1,5:]))]).T,\n                     '-m', linewidth=2)\n        text(dat.std[-2, iabscissa], max(dat.std[-2, 5:]), 'max std', fontsize=fontsize)\n        text(dat.std[-2, iabscissa], min(dat.std[-2, 5:]), 'min std', fontsize=fontsize)\n        ax = array(axis())\n        # ax[1] = max(minxend, ax[1])\n        axis(ax)\n        text(ax[0]+0.01, ax[2], # 10**(log10(ax[2])+0.05*(log10(ax[3])-log10(ax[2]))),\n             '.f_recent=' + repr(dat.f[-1,5]) )\n\n        # title('abs(f) (blue), f-min(f) (cyan), Sigma (green), Axis Ratio (red)')\n        title('blue:abs(f), cyan:f-min(f), green:sigma, red:axis ratio', fontsize=fontsize-1)\n        # pylab.xticks(xticklocs)\n\n\n    def downsampling(self, factor=10, first=3, switch=True):\n        \"\"\"\n        rude downsampling of a `CMADataLogger` data file by `factor`, keeping\n        also the first `first` entries. This function is a stump and subject\n        to future changes.\n\n        Arguments\n        ---------\n           - `factor` -- downsampling factor\n           - `first` -- keep first `first` entries\n           - `switch` -- switch the new logger name to oldname+'down'\n\n        Details\n        -------\n        ``self.name_prefix+'down'`` files are written\n\n        Example\n        -------\n        ::\n\n            import cma\n            cma.downsampling()  # takes outcmaes* files\n            cma.plot('outcmaesdown')\n\n        \"\"\"\n        newprefix = self.name_prefix + 'down'\n        for name in CMADataLogger.names:\n            f = open(newprefix+name+'.dat','w')\n            iline = 0\n            cwritten = 0\n            for line in open(self.name_prefix+name+'.dat'):\n                if iline < first or iline % factor == 0:\n                    f.write(line)\n                    cwritten += 1\n                iline += 1\n            f.close()\n            print('%d' % (cwritten) + ' lines written in ' + newprefix+name+'.dat')\n        if switch:\n            self.name_prefix += 'down'\n        return self\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    def disp(self, idx=100):  # r_[0:5,1e2:1e9:1e2,-10:0]):\n        \"\"\"displays selected data from (files written by) the class `CMADataLogger`.\n\n        Arguments\n        ---------\n           `idx`\n               indices corresponding to rows in the data file;\n               if idx is a scalar (int), the first two, then every idx-th,\n               and the last three rows are displayed. Too large index values are removed.\n\n        Example\n        -------\n        >>> import cma, numpy as np\n        >>> res = cma.fmin(cma.fcts.elli, 7 * [0.1], 1, verb_disp=1e9)  # generate data\n        >>> assert res[1] < 1e-9\n        >>> assert res[2] < 4400\n        >>> l = cma.CMADataLogger()  # == res[-1], logger with default name, \"points to\" above data\n        >>> l.disp([0,-1])  # first and last\n        >>> l.disp(20)  # some first/last and every 20-th line\n        >>> l.disp(np.r_[0:999999:100, -1]) # every 100-th and last\n        >>> l.disp(np.r_[0, -10:0]) # first and ten last\n        >>> cma.disp(l.name_prefix, np.r_[0::100, -10:])  # the same as l.disp(...)\n\n        Details\n        -------\n        The data line with the best f-value is displayed as last line.\n\n        :See: `disp()`\n\n        \"\"\"\n\n        filenameprefix=self.name_prefix\n\n        def printdatarow(dat, iteration):\n            \"\"\"print data of iteration i\"\"\"\n            i = np.where(dat.f[:, 0] == iteration)[0][0]\n            j = np.where(dat.std[:, 0] == iteration)[0][0]\n            print('%5d' % (int(dat.f[i,0])) + ' %6d' % (int(dat.f[i,1])) + ' %.14e' % (dat.f[i,5]) +\n                  ' %5.1e' % (dat.f[i,3]) +\n                  ' %6.2e' % (max(dat.std[j,5:])) + ' %6.2e' % min(dat.std[j,5:]))\n\n        dat = CMADataLogger(filenameprefix).load()\n        ndata = dat.f.shape[0]\n\n        # map index to iteration number, is difficult if not all iteration numbers exist\n        # idx = idx[np.where(map(lambda x: x in dat.f[:,0], idx))[0]] # TODO: takes pretty long\n        # otherwise:\n        if idx is None:\n            idx = 100\n        if np.isscalar(idx):\n            # idx = np.arange(0, ndata, idx)\n            if idx:\n                idx = np.r_[0, 1, idx:ndata-3:idx, -3:0]\n            else:\n                idx = np.r_[0, 1, -3:0]\n\n        idx = array(idx)\n        idx = idx[idx<ndata]\n        idx = idx[-idx<=ndata]\n        iters = dat.f[idx, 0]\n        idxbest = np.argmin(dat.f[:,5])\n        iterbest = dat.f[idxbest, 0]\n\n        if len(iters) == 1:\n            printdatarow(dat, iters[0])\n        else:\n            self.disp_header()\n            for i in iters:\n                printdatarow(dat, i)\n            self.disp_header()\n            printdatarow(dat, iterbest)\n        sys.stdout.flush()\n    def disp_header(self):\n        heading = 'Iterat Nfevals  function value    axis ratio maxstd   minstd'\n        print(heading)\n\n# end class CMADataLogger\n\n#____________________________________________________________\n#____________________________________________________________\n#\n#_____________________________________________________________________\n#_____________________________________________________________________\n#\nclass DEAPCMADataLogger(BaseDataLogger):  # might become a dict at some point\n    \"\"\"data logger for class `Strategy`. The logger is\n    identified by its name prefix and writes or reads according\n    data files.\n\n    Examples\n    ========\n    ::\n\n        import cma_logger\n        es = deap.cma.Strategy(...)\n        data = cma_logger.DEAPCMADataLogger().register(es)\n        while not es.stop():\n            ...\n            data.add(fitness_values)  # add can also take `es` as additional argument\n\n        data.plot() # or a short cut can be used:\n        cma.plot()  # plot data from logger with default name\n\n\n        data2 = cma_logger.DEAPCMADataLogger(another_filename_prefix).load()\n        data2.plot()\n        data2.disp()\n\n    ::\n\n        import cma\n        from pylab import *\n        res = cma.fmin(cma.Fcts.sphere, rand(10), 1e-0)\n        dat = res[-1]  # the CMADataLogger\n        dat.load()  # by \"default\" data are on disk\n        semilogy(dat.f[:,0], dat.f[:,5])  # plot f versus iteration, see file header\n        show()\n\n    Details\n    =======\n    After loading data, the logger has the attributes `xmean`, `xrecent`, `std`, `f`, and `D`,\n    corresponding to xmean, xrecentbest, stddev, fit, and axlen filename trails.\n\n    :See: `disp()`, `plot()`\n\n    \"\"\"\n    default_prefix = 'outcmaes'\n    names = ('axlen','fit','stddev','xmean') # ,'xrecentbest')\n    key_names_with_annotation = ('std', 'xmean')\n\n    def __init__(self, name_prefix=default_prefix, modulo=1, append=False):\n        \"\"\"initialize logging of data from a `CMAEvolutionStrategy` instance,\n        default modulo expands to 1 == log with each call\n\n        \"\"\"\n        # super(CMAData, self).__init__({'iter':[], 'stds':[], 'D':[], 'sig':[], 'fit':[], 'xm':[]})\n        # class properties:\n        self.counter = 0  # number of calls of add\n        self.best_fitness = np.inf\n        self.modulo = modulo  # allows calling with None\n        self.append = append\n        self.name_prefix = name_prefix if name_prefix else CMADataLogger.default_prefix\n        if type(self.name_prefix) == CMAEvolutionStrategy:\n            self.name_prefix = self.name_prefix.opts.eval('verb_filenameprefix')\n        self.registered = False\n\n    def register(self, es, append=None, modulo=None):\n        \"\"\"register a `CMAEvolutionStrategy` instance for logging,\n        ``append=True`` appends to previous data logged under the same name,\n        by default previous data are overwritten.\n\n        \"\"\"\n        self.es = es\n        if append is not None:\n            self.append = append\n        if modulo is not None:\n            self.modulo = modulo\n        if not self.append and self.modulo != 0:\n            self.initialize()  # write file headers\n        self.registered = True\n        return self\n\n    def initialize(self, modulo=None):\n        \"\"\"reset logger, overwrite original files, `modulo`: log only every modulo call\"\"\"\n        if modulo is not None:\n            self.modulo = modulo\n        try:\n            es = self.es  # must have been registered\n        except AttributeError:\n            pass  # TODO: revise usage of es... that this can pass\n            raise _Error('call register() before initialize()')\n\n        # write headers for output\n        fn = self.name_prefix + 'fit.dat'\n        if 11 < 3:\n            strseedtime = 'seed=%d, %s' % (es.opts['seed'], time.asctime())\n        else:\n            strseedtime = 'seed=unkown, %s' % (time.asctime())\n\n        try:\n            with open(fn, 'w') as f:\n                f.write('% # columns=\"iteration, evaluation, sigma, axis ratio, ' +\n                        'bestever, best, median, worst objective function value, ' +\n                        'further objective values of best\", ' +\n                        strseedtime +\n                        # strftime(\"%Y/%m/%d %H:%M:%S\", localtime()) + # just asctime() would do\n                        '\\n')\n        except (IOError, OSError):\n            print('could not open file ' + fn)\n\n        fn = self.name_prefix + 'axlen.dat'\n        try:\n            f = open(fn, 'w')\n            f.write('%  columns=\"iteration, evaluation, sigma, max axis length, ' +\n                    ' min axis length, all principle axes lengths ' +\n                    ' (sorted square roots of eigenvalues of C)\", ' +\n                    strseedtime +\n                    '\\n')\n            f.close()\n        except (IOError, OSError):\n            print('could not open file ' + fn)\n        finally:\n            f.close()\n        fn = self.name_prefix + 'stddev.dat'\n        try:\n            f = open(fn, 'w')\n            f.write('% # columns=[\"iteration, evaluation, sigma, void, void, ' +\n                    ' stds==sigma*sqrt(diag(C))\", ' +\n                    strseedtime +\n                    '\\n')\n            f.close()\n        except (IOError, OSError):\n            print('could not open file ' + fn)\n        finally:\n            f.close()\n\n        fn = self.name_prefix + 'xmean.dat'\n        try:\n            with open(fn, 'w') as f:\n                f.write('% # columns=\"iteration, evaluation, void, void, void, xmean\", ' +\n                        strseedtime)\n                if 11 < 3:\n                    f.write(' # scaling_of_variables: ')\n                    if np.size(es.gp.scales) > 1:\n                        f.write(' '.join(map(str, es.gp.scales)))\n                    else:\n                        f.write(str(es.gp.scales))\n                    f.write(', typical_x: ')\n                    if np.size(es.gp.typical_x) > 1:\n                        f.write(' '.join(map(str, es.gp.typical_x)))\n                    else:\n                        f.write(str(es.gp.typical_x))\n                f.write('\\n')\n                f.close()\n        except (IOError, OSError):\n            print('could not open/write file ' + fn)\n\n        if 11 < 3:\n            fn = self.name_prefix + 'xrecentbest.dat'\n            try:\n                with open(fn, 'w') as f:\n                    f.write('% # iter+eval+sigma+0+fitness+xbest, ' +\n                            strseedtime +\n                            '\\n')\n            except (IOError, OSError):\n                print('could not open/write file ' + fn)\n\n        return self\n    # end def __init__\n\n    def load(self, filenameprefix=None):\n        \"\"\"loads data from files written and return a data dictionary, *not*\n        a prerequisite for using `plot()` or `disp()`.\n\n        Argument `filenameprefix` is the filename prefix of data to be loaded (five files),\n        by default ``'outcmaes'``.\n\n        Return data dictionary with keys `xrecent`, `xmean`, `f`, `D`, `std`\n\n        \"\"\"\n        if not filenameprefix:\n            filenameprefix = self.name_prefix\n        dat = self  # historical\n        # dat.xrecent = _fileToMatrix(filenameprefix + 'xrecentbest.dat')\n        dat.xmean = _fileToMatrix(filenameprefix + 'xmean.dat')\n        dat.std = _fileToMatrix(filenameprefix + 'stddev' + '.dat')\n        # a hack to later write something into the last entry\n        for key in ['xmean', 'std']:  # 'xrecent',\n            dat.__dict__[key].append(dat.__dict__[key][-1])  # copy last row to later fill in annotation position for display\n            dat.__dict__[key] = array(dat.__dict__[key], copy=False)\n        dat.f = array(_fileToMatrix(filenameprefix + 'fit.dat'))\n        dat.D = array(_fileToMatrix(filenameprefix + 'axlen' + '.dat'))\n        return dat\n\n\n    def add(self, fitness_values, es=None, more_data=[], modulo=None): # TODO: find a different way to communicate current x and f\n        \"\"\"append some logging data from `CMAEvolutionStrategy` class instance `es`,\n        if ``number_of_times_called % modulo`` equals to zero, never if ``modulo==0``.\n\n        The sequence ``more_data`` must always have the same length.\n\n        \"\"\"\n        self.counter += 1\n        fitness_values = np.sort(fitness_values)\n        if fitness_values[0] < self.best_fitness:\n            self.best_fitness = fitness_values[0]\n        mod = modulo if modulo is not None else self.modulo\n        if mod == 0 or (self.counter > 3 and self.counter % mod):\n            return\n        if es is None:\n            try:\n                es = self.es  # must have been registered\n            except AttributeError :\n                raise _Error('call register() before add() or add(es)')\n        elif not self.registered:\n            self.register(es)\n\n        if 11 < 3:\n            try: # TODO: find a more decent interface to store and pass recent_x\n                xrecent = es.best.last.x\n            except:\n                if self.counter == 2:  # by now a recent_x should be available\n                    print('WARNING: es.out[\\'recent_x\\'] not found in CMADataLogger.add, count='\n                          + str(self.counter))\n        try:\n            # fit\n            if es.update_count > 0:\n                # fit = es.fit.fit[0]  # TODO: where do we get the fitness from?\n                fn = self.name_prefix + 'fit.dat'\n                with open(fn, 'a') as f:\n                    f.write(str(es.update_count) + ' '\n                            + str(es.update_count * es.lambda_) + ' '\n                            + str(es.sigma) + ' '\n                            + str(es.diagD[-1]/es.diagD[0]) + ' '\n                            + str(self.best_fitness) + ' '\n                            + '%.16e' % fitness_values[0] + ' '\n                            + str(fitness_values[es.lambda_//2]) + ' '\n                            + str(fitness_values[-1]) + ' '\n                            # + str(es.sp.popsize) + ' '\n                            # + str(10**es.noiseS) + ' '\n                            # + str(es.sp.cmean) + ' '\n                            # + ' '.join(str(i) for i in es.more_to_write)\n                            + ' '.join(str(i) for i in more_data)\n                            + '\\n')\n                    # es.more_to_write = []\n            # axlen\n            fn = self.name_prefix + 'axlen.dat'\n            with open(fn, 'a') as f:  # does not rely on reference counting\n                f.write(str(es.update_count) + ' '\n                        + str(es.update_count * es.lambda_) + ' '\n                        + str(es.sigma) + ' '\n                        + str(es.diagD[-1]) + ' '\n                        + str(es.diagD[0]) + ' '\n                        + ' '.join(map(str, es.diagD))\n                        + '\\n')\n            # stddev\n            fn = self.name_prefix + 'stddev.dat'\n            with open(fn, 'a') as f:\n                f.write(str(es.update_count) + ' '\n                        + str(es.update_count * es.lambda_) + ' '\n                        + str(es.sigma) + ' '\n                        + '0 0 '\n                        + ' '.join(map(str, es.sigma*np.sqrt([es.C[i][i] for i in range(es.dim)])))\n                        + '\\n')\n            # xmean\n            fn = self.name_prefix + 'xmean.dat'\n            with open(fn, 'a') as f:\n                if es.update_count < 1:\n                    f.write('0 0 0 0 0 '\n                            + ' '.join(map(str,\n                                              # TODO should be optional the phenotyp?\n                                              # es.gp.geno(es.x0)\n                                              es.mean))\n                            + '\\n')\n                else:\n                    f.write(str(es.update_count) + ' '\n                            + str(es.update_count * es.lambda_) + ' '\n                            # + str(es.sigma) + ' '\n                            + '0 0 0 '\n                            # + str(es.fmean_noise_free) + ' '\n                            # + str(es.fmean) + ' '  # TODO: this does not make sense\n                            # TODO should be optional the phenotyp?\n                            + ' '.join(map(str, es.centroid))\n                            + '\\n')\n            # xrecent\n            if 11 < 3:\n                fn = self.name_prefix + 'xrecentbest.dat'\n                if es.countiter > 0 and xrecent is not None:\n                    with open(fn, 'a') as f:\n                        f.write(str(es.countiter) + ' '\n                                + str(es.countevals) + ' '\n                                + str(es.sigma) + ' '\n                                + '0 '\n                                + str(es.fit.fit[0]) + ' '\n                                + ' '.join(map(str, xrecent))\n                                + '\\n')\n\n        except (IOError, OSError):\n            if es.countiter == 1:\n                print('could not open/write file')\n\n    def closefig(self):\n        pylab.close(self.fighandle)\n\n    def save(self, nameprefix, switch=False):\n        \"\"\"saves logger data to a different set of files, for\n        ``switch=True`` also the loggers name prefix is switched to\n        the new value\n\n        \"\"\"\n        if not nameprefix or type(nameprefix) is not str:\n            _Error('filename prefix must be a nonempty string')\n\n        if nameprefix == self.default_prefix:\n            _Error('cannot save to default name \"' + nameprefix + '...\", chose another name')\n\n        if nameprefix == self.name_prefix:\n            return\n\n        for name in CMADataLogger.names:\n            open(nameprefix+name+'.dat', 'w').write(open(self.name_prefix+name+'.dat').read())\n\n        if switch:\n            self.name_prefix = nameprefix\n\n    def plot(self, fig=None, iabscissa=1, iteridx=None, plot_mean=True,  # TODO: plot_mean default should be False\n             foffset=1e-19, x_opt = None, fontsize=10):\n        \"\"\"\n        plot data from a `CMADataLogger` (using the files written by the logger).\n\n        Arguments\n        ---------\n            `fig`\n                figure number, by default 325\n            `iabscissa`\n                ``0==plot`` versus iteration count,\n                ``1==plot`` versus function evaluation number\n            `iteridx`\n                iteration indices to plot\n\n        Return `CMADataLogger` itself.\n\n        Examples\n        --------\n        ::\n\n            import cma\n            logger = cma.CMADataLogger()  # with default name\n            # try to plot the \"default logging\" data (e.g. from previous fmin calls)\n            logger.plot() # to continue you might need to close the pop-up window\n                          # once and call plot() again.\n                          # This behavior seems to disappear in subsequent\n                          # calls of plot(). Also using ipython with -pylab\n                          # option might help.\n            cma.savefig('fig325.png')  # save current figure\n            logger.closefig()\n\n        Dependencies: matlabplotlib/pylab.\n\n        \"\"\"\n\n        dat = self.load(self.name_prefix)\n\n        try:\n            # pylab: prodedural interface for matplotlib\n            from  matplotlib.pylab import figure, ioff, ion, subplot, semilogy, hold, plot, grid, \\\n                 axis, title, text, xlabel, isinteractive, draw, gcf\n\n        except ImportError:\n            ImportError('could not find matplotlib.pylab module, function plot() is not available')\n            return\n\n        if fontsize and pylab.rcParams['font.size'] != fontsize:\n            print('global variable pylab.rcParams[\\'font.size\\'] set (from ' +\n                  str(pylab.rcParams['font.size']) + ') to ' + str(fontsize))\n            pylab.rcParams['font.size'] = fontsize  # subtracted in the end, but return can happen inbetween\n\n        if fig:\n            figure(fig)\n        else:\n            figure(325)\n            # show()  # should not be necessary\n        self.fighandle = gcf()  # fighandle.number\n\n        if iabscissa not in (0,1):\n            iabscissa = 1\n        interactive_status = isinteractive()\n        ioff() # prevents immediate drawing\n\n        if 11 < 3:\n            dat.x = dat.xrecent\n            if len(dat.x) < 2:\n                print('not enough data to plot')\n                return {}\n        # if plot_mean:\n        dat.x = dat.xmean    # this is the genotyp\n        if iteridx is not None:\n            dat.f = dat.f[np.where([x in iteridx for x in dat.f[:,0]])[0],:]\n            dat.D = dat.D[np.where([x in iteridx for x in dat.D[:,0]])[0],:]\n            iteridx.append(dat.x[-1,1])  # last entry is artificial\n            dat.x = dat.x[np.where([x in iteridx for x in dat.x[:,0]])[0],:]\n            dat.std = dat.std[np.where([x in iteridx for x in dat.std[:,0]])[0],:]\n\n        if iabscissa == 0:\n            xlab = 'iterations'\n        elif iabscissa == 1:\n            xlab = 'function evaluations'\n\n        # use fake last entry in x and std for line extension-annotation\n        if dat.x.shape[1] < 100:\n            minxend = int(1.06*dat.x[-2, iabscissa])\n            # write y-values for individual annotation into dat.x\n            dat.x[-1, iabscissa] = minxend  # TODO: should be ax[1]\n            idx = np.argsort(dat.x[-2,5:])\n            idx2 = np.argsort(idx)\n            if x_opt is None:\n                dat.x[-1,5+idx] = np.linspace(np.min(dat.x[:,5:]),\n                            np.max(dat.x[:,5:]), dat.x.shape[1]-5)\n            else:\n                dat.x[-1,5+idx] = np.logspace(np.log10(np.min(abs(dat.x[:,5:]))),\n                            np.log10(np.max(abs(dat.x[:,5:]))), dat.x.shape[1]-5)\n        else:\n            minxend = 0\n\n        if len(dat.f) == 0:\n            print('nothing to plot')\n            return\n\n        # not in use anymore, see formatter above\n        # xticklocs = np.arange(5) * np.round(minxend/4., -int(np.log10(minxend/4.)))\n\n        # dfit(dfit<1e-98) = NaN;\n\n        ioff() # turns update off\n\n        # TODO: if abscissa==0 plot in chunks, ie loop over subsets where dat.f[:,0]==countiter is monotonous\n\n        subplot(2,2,1)\n        self.plotdivers(dat, iabscissa, foffset)\n\n        # TODO: modularize also the remaining subplots\n        subplot(2,2,2)\n        hold(False)\n        if x_opt is not None:  # TODO: differentate neg and pos?\n            semilogy(dat.x[:, iabscissa], abs(dat.x[:,5:]) - x_opt, '-')\n        else:\n            plot(dat.x[:, iabscissa], dat.x[:,5:],'-')\n        hold(True)\n        grid(True)\n        ax = array(axis())\n        # ax[1] = max(minxend, ax[1])\n        axis(ax)\n        ax[1] -= 1e-6\n        if dat.x.shape[1] < 100:\n            yy = np.linspace(ax[2]+1e-6, ax[3]-1e-6, dat.x.shape[1]-5)\n            #yyl = np.sort(dat.x[-1,5:])\n            idx = np.argsort(dat.x[-1,5:])\n            idx2 = np.argsort(idx)\n            if x_opt is not None:\n                semilogy([dat.x[-1, iabscissa], ax[1]], [abs(dat.x[-1,5:]), yy[idx2]], 'k-') # line from last data point\n                semilogy(np.dot(dat.x[-2, iabscissa],[1,1]), array([ax[2]+1e-6, ax[3]-1e-6]), 'k-')\n            else:\n                # plot([dat.x[-1, iabscissa], ax[1]], [dat.x[-1,5:], yy[idx2]], 'k-') # line from last data point\n                plot(np.dot(dat.x[-2, iabscissa],[1,1]), array([ax[2]+1e-6, ax[3]-1e-6]), 'k-')\n            # plot(array([dat.x[-1, iabscissa], ax[1]]),\n            #      reshape(array([dat.x[-1,5:], yy[idx2]]).flatten(), (2,4)), '-k')\n            for i in range(len(idx)):\n                # TODOqqq: annotate phenotypic value!?\n                # text(ax[1], yy[i], 'x(' + str(idx[i]) + ')=' + str(dat.x[-2,5+idx[i]]))\n                text(dat.x[-1,iabscissa], dat.x[-1,5+i], 'x(' + str(i) + ')=' + str(dat.x[-2,5+i]))\n\n        i = 2  # find smallest i where iteration count differs (in case the same row appears twice)\n        while i < len(dat.f) and dat.f[-i][0] == dat.f[-1][0]:\n            i += 1\n        title('Object Variables (' + ('mean' if plot_mean else 'curr best') +\n                ', ' + str(dat.x.shape[1]-5) + '-D, popsize~' +\n                (str(int((dat.f[-1][1] - dat.f[-i][1]) / (dat.f[-1][0] - dat.f[-i][0])))\n                    if len(dat.f.T[0]) > 1 and dat.f[-1][0] > dat.f[-i][0] else 'NA')\n                + ')')\n        # pylab.xticks(xticklocs)\n\n        # Scaling\n        subplot(2,2,3)\n        hold(False)\n        semilogy(dat.D[:, iabscissa], dat.D[:,5:], '-b')\n        hold(True)\n        grid(True)\n        ax = array(axis())\n        # ax[1] = max(minxend, ax[1])\n        axis(ax)\n        title('Scaling (All Main Axes)')\n        # pylab.xticks(xticklocs)\n        xlabel(xlab)\n\n        # standard deviations\n        subplot(2,2,4)\n        hold(False)\n        # remove sigma from stds (graphs become much better readible)\n        dat.std[:,5:] = np.transpose(dat.std[:,5:].T / dat.std[:,2].T)\n        # ax = array(axis())\n        # ax[1] = max(minxend, ax[1])\n        # axis(ax)\n        if 1 < 2 and dat.std.shape[1] < 100:\n            # use fake last entry in x and std for line extension-annotation\n            minxend = int(1.06*dat.x[-2, iabscissa])\n            dat.std[-1, iabscissa] = minxend  # TODO: should be ax[1]\n            idx = np.argsort(dat.std[-2,5:])\n            idx2 = np.argsort(idx)\n            dat.std[-1,5+idx] = np.logspace(np.log10(np.min(dat.std[:,5:])),\n                            np.log10(np.max(dat.std[:,5:])), dat.std.shape[1]-5)\n\n            dat.std[-1, iabscissa] = minxend  # TODO: should be ax[1]\n            yy = np.logspace(np.log10(ax[2]), np.log10(ax[3]), dat.std.shape[1]-5)\n            #yyl = np.sort(dat.std[-1,5:])\n            idx = np.argsort(dat.std[-1,5:])\n            idx2 = np.argsort(idx)\n            # plot(np.dot(dat.std[-2, iabscissa],[1,1]), array([ax[2]+1e-6, ax[3]-1e-6]), 'k-') # vertical separator\n            # vertical separator\n            plot(np.dot(dat.std[-2, iabscissa],[1,1]), array([np.min(dat.std[-2,5:]), np.max(dat.std[-2,5:])]), 'k-')\n            hold(True)\n            # plot([dat.std[-1, iabscissa], ax[1]], [dat.std[-1,5:], yy[idx2]], 'k-') # line from last data point\n            for i in range(len(idx)):\n                # text(ax[1], yy[i], ' '+str(idx[i]))\n                text(dat.std[-1, iabscissa], dat.std[-1, 5+i], ' '+str(i))\n        semilogy(dat.std[:, iabscissa], dat.std[:,5:], '-')\n        grid(True)\n        title('Standard Deviations in All Coordinates')\n        # pylab.xticks(xticklocs)\n        xlabel(xlab)\n        draw()  # does not suffice\n        if interactive_status:\n            ion()  # turns interactive mode on (again)\n            draw()\n        show()\n\n        return self\n\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    @staticmethod\n    def plotdivers(dat, iabscissa, foffset):\n        \"\"\"helper function for `plot()` that plots all what is\n        in the upper left subplot like fitness, sigma, etc.\n\n        Arguments\n        ---------\n            `iabscissa` in ``(0,1)``\n                0==versus fevals, 1==versus iteration\n            `foffset`\n                offset to fitness for log-plot\n\n         :See: `plot()`\n\n        \"\"\"\n        from  matplotlib.pylab import semilogy, hold, grid, \\\n                 axis, title, text\n        fontsize = pylab.rcParams['font.size']\n\n        hold(False)\n\n        dfit = dat.f[:,5]-min(dat.f[:,5])\n        dfit[dfit<1e-98] = np.NaN\n\n        if dat.f.shape[1] > 7:\n            # semilogy(dat.f[:, iabscissa], abs(dat.f[:,[6, 7, 10, 12]])+foffset,'-k')\n            semilogy(dat.f[:, iabscissa], abs(dat.f[:,[6, 7]])+foffset,'-k')\n            hold(True)\n\n        # (larger indices): additional fitness data, for example constraints values\n        if dat.f.shape[1] > 8:\n            # dd = abs(dat.f[:,7:]) + 10*foffset\n            # dd = np.where(dat.f[:,7:]==0, np.NaN, dd) # cannot be\n            semilogy(dat.f[:, iabscissa], np.abs(dat.f[:,8:]) + 10*foffset, 'm')\n            hold(True)\n\n        idx = np.where(dat.f[:,5]>1e-98)[0]  # positive values\n        semilogy(dat.f[idx, iabscissa], dat.f[idx,5]+foffset, '.b')\n        hold(True)\n        grid(True)\n\n        idx = np.where(dat.f[:,5] < -1e-98)  # negative values\n        semilogy(dat.f[idx, iabscissa], abs(dat.f[idx,5])+foffset,'.r')\n\n        semilogy(dat.f[:, iabscissa],abs(dat.f[:,5])+foffset,'-b')\n        semilogy(dat.f[:, iabscissa], dfit, '-c')\n\n        if 11 < 3:  # delta-fitness as points\n            dfit = dat.f[1:, 5] - dat.f[:-1,5]  # should be negative usually\n            semilogy(dat.f[1:,iabscissa],  # abs(fit(g) - fit(g-1))\n                np.abs(dfit)+foffset, '.c')\n            i = dfit > 0\n            # print(np.sum(i) / float(len(dat.f[1:,iabscissa])))\n            semilogy(dat.f[1:,iabscissa][i],  # abs(fit(g) - fit(g-1))\n                np.abs(dfit[i])+foffset, '.r')\n\n        # overall minimum\n        i = np.argmin(dat.f[:,5])\n        semilogy(dat.f[i, iabscissa]*np.ones(2), dat.f[i,5]*np.ones(2), 'rd')\n        # semilogy(dat.f[-1, iabscissa]*np.ones(2), dat.f[-1,4]*np.ones(2), 'rd')\n\n        # AR and sigma\n        semilogy(dat.f[:, iabscissa], dat.f[:,3], '-r') # AR\n        semilogy(dat.f[:, iabscissa], dat.f[:,2],'-g') # sigma\n        semilogy(dat.std[:-1, iabscissa], np.vstack([list(map(max, dat.std[:-1,5:])), list(map(min, dat.std[:-1,5:]))]).T,\n                     '-m', linewidth=2)\n        text(dat.std[-2, iabscissa], max(dat.std[-2, 5:]), 'max std', fontsize=fontsize)\n        text(dat.std[-2, iabscissa], min(dat.std[-2, 5:]), 'min std', fontsize=fontsize)\n        ax = array(axis())\n        # ax[1] = max(minxend, ax[1])\n        axis(ax)\n        text(ax[0]+0.01, ax[2], # 10**(log10(ax[2])+0.05*(log10(ax[3])-log10(ax[2]))),\n             '.f_recent=' + repr(dat.f[-1,5]) )\n\n        # title('abs(f) (blue), f-min(f) (cyan), Sigma (green), Axis Ratio (red)')\n        title('blue:abs(f), cyan:f-min(f), green:sigma, red:axis ratio', fontsize=fontsize-1)\n        # pylab.xticks(xticklocs)\n\n\n    def downsampling(self, factor=10, first=3, switch=True):\n        \"\"\"\n        rude downsampling of a `CMADataLogger` data file by `factor`, keeping\n        also the first `first` entries. This function is a stump and subject\n        to future changes.\n\n        Arguments\n        ---------\n           - `factor` -- downsampling factor\n           - `first` -- keep first `first` entries\n           - `switch` -- switch the new logger name to oldname+'down'\n\n        Details\n        -------\n        ``self.name_prefix+'down'`` files are written\n\n        Example\n        -------\n        ::\n\n            import cma\n            cma.downsampling()  # takes outcmaes* files\n            cma.plot('outcmaesdown')\n\n        \"\"\"\n        newprefix = self.name_prefix + 'down'\n        for name in CMADataLogger.names:\n            f = open(newprefix+name+'.dat','w')\n            iline = 0\n            cwritten = 0\n            for line in open(self.name_prefix+name+'.dat'):\n                if iline < first or iline % factor == 0:\n                    f.write(line)\n                    cwritten += 1\n                iline += 1\n            f.close()\n            print('%d' % (cwritten) + ' lines written in ' + newprefix+name+'.dat')\n        if switch:\n            self.name_prefix += 'down'\n        return self\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    def disp_header(self):\n        heading = 'Iterat Nfevals  function value    axis ratio maxstd   minstd'\n        print(heading)\n\n    def disp(self, idx=100):  # r_[0:5,1e2:1e9:1e2,-10:0]):\n        \"\"\"displays selected data from (files written by) the class `CMADataLogger`.\n\n        Arguments\n        ---------\n           `idx`\n               indices corresponding to rows in the data file;\n               if idx is a scalar (int), the first two, then every idx-th,\n               and the last three rows are displayed. Too large index values are removed.\n               If ``len(idx) == 1``, only a single row is displayed, e.g. the last\n               entry when ``idx == [-1]``.\n\n        Example\n        -------\n        >>> import cma, numpy as np\n        >>> res = cma.fmin(cma.fcts.elli, 7 * [0.1], 1, verb_disp=1e9)  # generate data\n        >>> assert res[1] < 1e-9\n        >>> assert res[2] < 4400\n        >>> l = cma.CMADataLogger()  # == res[-1], logger with default name, \"points to\" above data\n        >>> l.disp([0,-1])  # first and last\n        >>> l.disp(20)  # some first/last and every 20-th line\n        >>> l.disp(np.r_[0:999999:100, -1]) # every 100-th and last\n        >>> l.disp(np.r_[0, -10:0]) # first and ten last\n        >>> cma.disp(l.name_prefix, np.r_[0::100, -10:])  # the same as l.disp(...)\n\n        Details\n        -------\n        The data line with the best f-value is displayed as last line.\n\n        :See: `disp()`\n\n        \"\"\"\n\n        filenameprefix=self.name_prefix\n\n        def printdatarow(dat, iteration):\n            \"\"\"print data of iteration i\"\"\"\n            i = np.where(dat.f[:, 0] == iteration)[0][0]\n            j = np.where(dat.std[:, 0] == iteration)[0][0]\n            print('%5d' % (int(dat.f[i,0])) + ' %6d' % (int(dat.f[i,1])) + ' %.14e' % (dat.f[i,5]) +\n                  ' %5.1e' % (dat.f[i,3]) +\n                  ' %6.2e' % (max(dat.std[j,5:])) + ' %6.2e' % min(dat.std[j,5:]))\n\n        dat = CMADataLogger(filenameprefix).load()\n        ndata = dat.f.shape[0]\n\n        # map index to iteration number, is difficult if not all iteration numbers exist\n        # idx = idx[np.where(map(lambda x: x in dat.f[:,0], idx))[0]] # TODO: takes pretty long\n        # otherwise:\n        if idx is None:\n            idx = 100\n        if np.isscalar(idx):\n            # idx = np.arange(0, ndata, idx)\n            if idx:\n                idx = np.r_[0, 1, idx:ndata-3:idx, -3:0]\n            else:\n                idx = np.r_[0, 1, -3:0]\n\n        idx = array(idx)\n        idx = idx[idx<=ndata]  # TODO: shouldn't this be \"<\"?\n        idx = idx[-idx<=ndata]\n        iters = dat.f[idx, 0]\n        idxbest = np.argmin(dat.f[:,5])\n        iterbest = dat.f[idxbest, 0]\n        if len(iters) == 1:\n            printdatarow(dat, iters[0])\n        else:\n            self.disp_header()\n            for i in iters:\n                printdatarow(dat, i)\n            self.disp_header()\n            printdatarow(dat, iterbest)\n        sys.stdout.flush()\n\ndef irg(ar):\n    return range(len(ar))\nclass AII(object):\n    \"\"\"unstable experimental code, updates ps, sigma, sigmai, pr, r, sigma_r, mean,\n    all from self.\n\n    Depends on that the ordering of solutions has not change upon calling update\n\n    should become a OOOptimizer in far future?\n\n    \"\"\"\n    # Try: ps**2 - 1 instead of (ps**2)**0.5 / chi1 - 1: compare learning rate etc\n    # and dito for psr\n\n    def __init__(self, x0, sigma0, randn=np.random.randn):\n        \"\"\"TODO: check scaling of r-learing: seems worse than linear: 9e3 25e3 65e3 (10,20,40-D)\"\"\"\n        self.N = len(x0)\n        N = self.N\n        # parameters to play with:\n        # PROBLEM: smaller eta_r even fails on *axparallel* cigar!! Also dampi needs to be smaller then!\n        self.dampi = 4 * N  # two times smaller is\n        self.eta_r = 0 / N / 3   # c_r learning rate for direction, cigar: 4/N/3 is optimal in 10-D, 10/N/3 still works (15 in 20-D) but not on the axparallel cigar with recombination\n        self.mu = 1\n        self.use_abs_sigma = 1    # without it is a problem on 20=D axpar-cigar!!, but why?? Because dampi is just boarderline\n        self.use_abs_sigma_r = 1  #\n\n        self.randn = randn\n        self.x0 = array(x0, copy=True)\n        self.sigma0 = sigma0\n\n        self.cs = 1 / N**0.5  # evolution path for step-size(s)\n        self.damps = 1\n        self.use_sign = 0\n        self.use_scalar_product = 0  # sometimes makes it somewhat worse on Rosenbrock, don't know why\n        self.csr = 1 / N**0.5  # cumulation for sigma_r\n        self.dampsr = (4 * N)**0.5\n        self.chi1 = (2/np.pi)**0.5\n        self.chiN = N**0.5*(1-1./(4.*N)+1./(21.*N**2)) # expectation of norm(randn(N,1))\n        self.initialize()\n    def initialize(self):\n        \"\"\"alias ``reset``, set all state variables to initial values\"\"\"\n        N = self.N\n        self.mean = array(self.x0, copy=True)\n        self.sigma = self.sigma0\n        self.sigmai = np.ones(N)\n        self.ps = np.zeros(N)  # path for individual and globalstep-size(s)\n        self.r = np.zeros(N)\n        self.pr = 0         # cumulation for zr = N(0,1)\n        self.sigma_r = 0\n    def ask(self, popsize):\n        if popsize == 1:\n            raise NotImplementedError()\n        self.Z = [self.randn(self.N) for _i in range(popsize)]\n        self.zr = list(self.randn(popsize))\n        pop = [self.mean + self.sigma * (self.sigmai * self.Z[k])\n                + self.zr[k] * self.sigma_r * self.r\n                for k in range(popsize)]\n        if not np.isfinite(pop[0][0]):\n            raise ValueError()\n        return pop\n    def tell(self, X, f):\n        \"\"\"update \"\"\"\n        mu = 1 if self.mu else int(len(f) / 4)\n        idx = np.argsort(f)[:mu]\n        zr = [self.zr[i] for i in idx]\n        Z = [self.Z[i] for i in idx]\n        X = [X[i] for i in idx]\n        xmean = np.mean(X, axis=0)\n\n        self.ps *= 1 - self.cs\n        self.ps += (self.cs*(2-self.cs))**0.5 * mu**0.5 * np.mean(Z, axis=0)\n        self.sigma *= np.exp((self.cs/self.damps) * (sum(self.ps**2)**0.5 / self.chiN - 1))\n        if self.use_abs_sigma:\n            self.sigmai *= np.exp((1/self.dampi) * (np.abs(self.ps) / self.chi1 - 1))\n        else:\n            self.sigmai *= np.exp((1.3/self.dampi/2) * (self.ps**2 - 1))\n\n        self.pr *= 1 - self.csr\n        self.pr += (self.csr*(2-self.csr))**0.5 * mu**0.5 * np.mean(zr)\n        fac = 1\n        if self.use_sign:\n            fac = np.sign(self.pr)  # produces readaptations on the cigar\n        else:\n            self.pr = max([0, self.pr])\n        if self.use_scalar_product:\n            if np.sign(sum(self.r * (xmean - self.mean))) < 0: # and self.pr > 1:\n            # if np.sign(sum(self.r * self.ps)) < 0:\n                self.r *= -1\n        if self.eta_r:\n            self.r *= (1 - self.eta_r) * self.sigma_r\n            self.r += fac * self.eta_r * mu**0.5 * (xmean - self.mean)\n            self.r /= sum(self.r**2)**0.5\n        if self.use_abs_sigma_r:\n            self.sigma_r *= np.exp((1/self.dampsr) * ((self.pr**2)**0.5 / self.chi1 - 1))\n        else:\n            # this is worse on the cigar, where the direction vector(!) behaves strangely\n            self.sigma_r *= np.exp((1/self.dampsr) * (self.pr**2 - 1) / 2)\n        self.sigma_r = max([self.sigma * sum(self.sigmai**2)**0.5 / 3, self.sigma_r])\n        # self.sigma_r = 0\n        self.mean = xmean\ndef fmin(func, x0, sigma0=None, args=()\n    # the follow string arguments are evaluated, besides the verb_filenameprefix\n    , CMA_active='False  # exponential negative update, conducted after the original update'\n    , CMA_activefac='1  # learning rate multiplier for active update'\n    , CMA_cmean='1  # learning rate for the mean value'\n    , CMA_const_trace='False  # normalize trace, value CMA_const_trace=2 normalizes sum log eigenvalues to zero'\n    , CMA_diagonal='0*100*N/sqrt(popsize)  # nb of iterations with diagonal covariance matrix, True for always' # TODO 4/ccov_separable?\n    , CMA_eigenmethod='np.linalg.eigh  # 0=numpy-s eigh, -1=pygsl, otherwise cma.Misc.eig (slower)'\n    , CMA_elitist='False # elitism likely impairs global search performance'\n    , CMA_mirrors='popsize < 6  # values <0.5 are interpreted as fraction, values >1 as numbers (rounded), otherwise about 0.16 is used'\n    , CMA_mu='None  # parents selection parameter, default is popsize // 2'\n    , CMA_on='True  # False or 0 for no adaptation of the covariance matrix'\n    , CMA_rankmu='True  # False or 0 for omitting rank-mu update of covariance matrix'\n    , CMA_rankmualpha='0.3  # factor of rank-mu update if mu=1, subject to removal, default might change to 0.0'\n    , CMA_dampfac='1  #v positive multiplier for step-size damping, 0.3 is close to optimal on the sphere'\n    , CMA_dampsvec_fac='np.Inf  # tentative and subject to changes, 0.5 would be a \"default\" damping for sigma vector update'\n    , CMA_dampsvec_fade='0.1  # tentative fading out parameter for sigma vector update'\n    , CMA_teststds='None  # factors for non-isotropic initial distr. mainly for test purpose, see scaling_...'\n    , CMA_AII='False  # not yet tested'\n    , bounds='[None, None]  # lower (=bounds[0]) and upper domain boundaries, each a scalar or a list/vector'\n    , eval_parallel='False  # when True, func might be called with more than one solution as first argument'\n    , eval_initial_x='False  # '\n    , fixed_variables='None  # dictionary with index-value pairs like {0:1.1, 2:0.1} that are not optimized'\n    , ftarget='-inf  #v target function value, minimization'\n    , incpopsize='2  # in fmin(): multiplier for increasing popsize before each restart'\n    , maxfevals='inf  #v maximum number of function evaluations'\n    , maxiter='100 + 50 * (N+3)**2 // popsize**0.5  #v maximum number of iterations'\n    , mindx='0  #v minimal std in any direction, cave interference with tol*'\n    , minstd='0  #v minimal std in any coordinate direction, cave interference with tol*'\n    , noise_handling='False  # maximal number of evaluations for noise treatment, only fmin'\n    , noise_reevals=' 1.5 + popsize/20  # number of solution to be reevaluated for noise measurement, only fmin'\n    , noise_eps='1e-7  # perturbation factor for noise handling reevaluations, only fmin'\n    , noise_change_sigma='True  # exponent to default sigma increment'\n    , popsize='4+int(3*log(N))  # population size, AKA lambda, number of new solution per iteration'\n    , randn='np.random.standard_normal  #v randn((lam, N)) must return an np.array of shape (lam, N)'\n    , restarts='0  # in fmin(): number of restarts'\n    , restart_from_best='False'\n    , scaling_of_variables='None  # scale for each variable, sigma0 is interpreted w.r.t. this scale, in that effective_sigma0 = sigma0*scaling. Internally the variables are divided by scaling_of_variables and sigma is unchanged, default is ones(N)'\n    , seed='None  # random number seed'\n    , termination_callback='None  #v a function returning True for termination, called after each iteration step and could be abused for side effects'\n    , tolfacupx='1e3  #v termination when step-size increases by tolfacupx (diverges). That is, the initial step-size was chosen far too small and better solutions were found far away from the initial solution x0'\n    , tolupsigma='1e20  #v sigma/sigma0 > tolupsigma * max(sqrt(eivenvals(C))) indicates \"creeping behavior\" with usually minor improvements'\n    , tolfun='1e-11  #v termination criterion: tolerance in function value, quite useful'\n    , tolfunhist='1e-12  #v termination criterion: tolerance in function value history'\n    , tolstagnation='int(100 + 100 * N**1.5 / popsize)  #v termination if no improvement over tolstagnation iterations'\n    , tolx='1e-11  #v termination criterion: tolerance in x-changes'\n    , transformation='None  # [t0, t1] are two mappings, t0 transforms solutions from CMA-representation to f-representation (tf_pheno), t1 is the (optional) back transformation, see class GenoPheno'\n    , typical_x='None  # used with scaling_of_variables'\n    , updatecovwait='None  #v number of iterations without distribution update, name is subject to future changes' # TODO: rename: iterwaitupdatedistribution?\n    , verb_append='0  # initial evaluation counter, if append, do not overwrite output files'\n    , verb_disp='100  #v verbosity: display console output every verb_disp iteration'\n    , verb_filenameprefix='outcmaes  # output filenames prefix'\n    , verb_log='1  #v verbosity: write data to files every verb_log iteration, writing can be time critical on fast to evaluate functions'\n    , verb_plot='0  #v in fmin(): plot() is called every verb_plot iteration'\n    , verb_time='True  #v output timings on console'\n    , vv='0  #? versatile variable for hacking purposes, value found in self.opts[\\'vv\\']'\n     ):\n    \"\"\"functional interface to the stochastic optimizer CMA-ES\n    for non-convex function minimization.\n\n    Calling Sequences\n    =================\n        ``fmin([],[])``\n            returns all optional arguments, that is,\n            all keyword arguments to fmin with their default values\n            in a dictionary.\n        ``fmin(func, x0, sigma0)``\n            minimizes `func` starting at `x0` and with standard deviation\n            `sigma0` (step-size)\n        ``fmin(func, x0, sigma0, ftarget=1e-5)``\n            minimizes `func` up to target function value 1e-5\n        ``fmin(func, x0, sigma0, args=('f',), **options)``\n            minimizes `func` called with an additional argument ``'f'``.\n            `options` is a dictionary with additional keyword arguments, e.g.\n            delivered by `Options()`.\n        ``fmin(func, x0, sigma0, **{'ftarget':1e-5, 'popsize':40})``\n            the same as ``fmin(func, x0, sigma0, ftarget=1e-5, popsize=40)``\n        ``fmin(func, esobj, **{'maxfevals': 1e5})``\n            uses the `CMAEvolutionStrategy` object instance `esobj` to optimize\n            `func`, similar to `CMAEvolutionStrategy.optimize()`.\n\n    Arguments\n    =========\n        `func`\n            function to be minimized. Called as\n            ``func(x,*args)``. `x` is a one-dimensional `numpy.ndarray`. `func`\n            can return `numpy.NaN`,\n            which is interpreted as outright rejection of solution `x`\n            and invokes an immediate resampling and (re-)evaluation\n            of a new solution not counting as function evaluation.\n        `x0`\n            list or `numpy.ndarray`, initial guess of minimum solution\n            or `cma.CMAEvolutionStrategy` object instance. In this case\n            `sigma0` can be omitted.\n        `sigma0`\n            scalar, initial standard deviation in each coordinate.\n            `sigma0` should be about 1/4 of the search domain width where the\n            optimum is to be expected. The variables in `func` should be\n            scaled such that they presumably have similar sensitivity.\n            See also option `scaling_of_variables`.\n\n    Keyword Arguments\n    =================\n    All arguments besides `args` and `verb_filenameprefix` are evaluated\n    if they are of type `str`, see class `Options` for details. The following\n    list might not be fully up-to-date, use ``cma.Options()`` or\n    ``cma.fmin([],[])`` to get the actual list.\n    ::\n\n        args=() -- additional arguments for func, not in `cma.Options()`\n        CMA_active='False  # exponential negative update, conducted after the original\n                update'\n        CMA_activefac='1  # learning rate multiplier for active update'\n        CMA_cmean='1  # learning rate for the mean value'\n        CMA_dampfac='1  #v positive multiplier for step-size damping, 0.3 is close to\n                optimal on the sphere'\n        CMA_diagonal='0*100*N/sqrt(popsize)  # nb of iterations with diagonal\n                covariance matrix, True for always'\n        CMA_eigenmethod='np.linalg.eigh  # 0=numpy-s eigh, -1=pygsl, alternative: Misc.eig (slower)'\n        CMA_elitist='False # elitism likely impairs global search performance'\n        CMA_mirrors='0  # values <0.5 are interpreted as fraction, values >1 as numbers\n                (rounded), otherwise about 0.16 is used'\n        CMA_mu='None  # parents selection parameter, default is popsize // 2'\n        CMA_on='True  # False or 0 for no adaptation of the covariance matrix'\n        CMA_rankmu='True  # False or 0 for omitting rank-mu update of covariance\n                matrix'\n        CMA_rankmualpha='0.3  # factor of rank-mu update if mu=1, subject to removal,\n                default might change to 0.0'\n        CMA_teststds='None  # factors for non-isotropic initial distr. mainly for test\n                purpose, see scaling_...'\n        bounds='[None, None]  # lower (=bounds[0]) and upper domain boundaries, each a\n                scalar or a list/vector'\n        eval_initial_x='False  # '\n        fixed_variables='None  # dictionary with index-value pairs like {0:1.1, 2:0.1}\n                that are not optimized'\n        ftarget='-inf  #v target function value, minimization'\n        incpopsize='2  # in fmin(): multiplier for increasing popsize before each\n                restart'\n        maxfevals='inf  #v maximum number of function evaluations'\n        maxiter='long(1e3*N**2/sqrt(popsize))  #v maximum number of iterations'\n        mindx='0  #v minimal std in any direction, cave interference with tol*'\n        minstd='0  #v minimal std in any coordinate direction, cave interference with\n                tol*'\n        noise_eps='1e-7  # perturbation factor for noise handling reevaluations, only\n                fmin'\n        noise_handling='False  # maximal number of evaluations for noise treatment,\n                only fmin'\n        noise_reevals=' 1.5 + popsize/20  # number of solution to be reevaluated for\n                noise measurement, only fmin'\n        popsize='4+int(3*log(N))  # population size, AKA lambda, number of new solution\n                per iteration'\n        randn='np.random.standard_normal  #v randn((lam, N)) must return an np.array of\n                shape (lam, N)'\n        restarts='0  # in fmin(): number of restarts'\n        scaling_of_variables='None  # scale for each variable, sigma0 is interpreted\n                w.r.t. this scale, in that effective_sigma0 = sigma0*scaling.\n                Internally the variables are divided by scaling_of_variables and sigma\n                is unchanged, default is ones(N)'\n        seed='None  # random number seed'\n        termination_callback='None  #v in fmin(): a function returning True for\n                termination, called after each iteration step and could be abused for\n                side effects'\n        tolfacupx='1e3  #v termination when step-size increases by tolfacupx\n                (diverges). That is, the initial step-size was chosen far too small and\n                better solutions were found far away from the initial solution x0'\n        tolupsigma='1e20  #v sigma/sigma0 > tolupsigma * max(sqrt(eivenvals(C)))\n                indicates \"creeping behavior\" with usually minor improvements'\n        tolfun='1e-11  #v termination criterion: tolerance in function value, quite\n                useful'\n        tolfunhist='1e-12  #v termination criterion: tolerance in function value\n                history'\n        tolstagnation='int(100 * N**1.5 / popsize)  #v termination if no improvement\n                over tolstagnation iterations'\n        tolx='1e-11  #v termination criterion: tolerance in x-changes'\n        transformation='None  # [t0, t1] are two mappings, t0 transforms solutions from\n                CMA-representation to f-representation, t1 is the back transformation,\n                see class GenoPheno'\n        typical_x='None  # used with scaling_of_variables'\n        updatecovwait='None  #v number of iterations without distribution update, name\n                is subject to future changes'\n        verb_append='0  # initial evaluation counter, if append, do not overwrite\n                output files'\n        verb_disp='100  #v verbosity: display console output every verb_disp iteration'\n        verb_filenameprefix='outcmaes  # output filenames prefix'\n        verb_log='1  #v verbosity: write data to files every verb_log iteration,\n                writing can be time critical on fast to evaluate functions'\n        verb_plot='0  #v in fmin(): plot() is called every verb_plot iteration'\n        verb_time='True  #v output timings on console'\n        vv='0  #? versatile variable for hacking purposes, value found in\n                self.opts['vv']'\n\n    Subsets of options can be displayed, for example like ``cma.Options('tol')``,\n    see also class `Options`.\n\n    Return\n    ======\n    Similar to `OOOptimizer.optimize()` and/or `CMAEvolutionStrategy.optimize()`, return the\n    list provided by `CMAEvolutionStrategy.result()` appended with an `OOOptimizer` and an\n    `BaseDataLogger`::\n\n        res = optim.result() + (optim.stop(), optim, logger)\n\n    where\n        - ``res[0]`` (``xopt``) -- best evaluated solution\n        - ``res[1]`` (``fopt``) -- respective function value\n        - ``res[2]`` (``evalsopt``) -- respective number of function evaluations\n        - ``res[3]`` (``evals``) -- number of overall conducted objective function evaluations\n        - ``res[4]`` (``iterations``) -- number of overall conducted iterations\n        - ``res[5]`` (``xmean``) -- mean of the final sample distribution\n        - ``res[6]`` (``stds``) -- effective stds of the final sample distribution\n        - ``res[-3]`` (``stop``) -- termination condition(s) in a dictionary\n        - ``res[-2]`` (``cmaes``) -- class `CMAEvolutionStrategy` instance\n        - ``res[-1]`` (``logger``) -- class `CMADataLogger` instance\n\n    Details\n    =======\n    This function is an interface to the class `CMAEvolutionStrategy`. The\n    class can be used when full control over the iteration loop of the\n    optimizer is desired.\n\n    The noise handling follows closely [Hansen et al 2009, A Method for Handling\n    Uncertainty in Evolutionary Optimization...] in the measurement part, but the\n    implemented treatment is slightly different: for ``noiseS > 0``, ``evaluations``\n    (time) and sigma are increased by ``alpha``. For ``noiseS < 0``, ``evaluations``\n    (time) is decreased by ``alpha**(1/4)``. The option ``noise_handling`` switches\n    the uncertainty handling on/off, the given value defines the maximal number\n    of evaluations for a single fitness computation. If ``noise_handling`` is a list,\n    the smallest element defines the minimal number and if the list has three elements,\n    the median value is the start value for ``evaluations``. See also class\n    `NoiseHandler`.\n\n    Examples\n    ========\n    The following example calls `fmin` optimizing the Rosenbrock function\n    in 10-D with initial solution 0.1 and initial step-size 0.5. The\n    options are specified for the usage with the `doctest` module.\n\n    >>> import cma\n    >>> # cma.Options()  # returns all possible options\n    >>> options = {'CMA_diagonal':10, 'seed':1234, 'verb_time':0}\n    >>>\n    >>> res = cma.fmin(cma.fcts.rosen, [0.1] * 10, 0.5, **options)\n    (5_w,10)-CMA-ES (mu_w=3.2,w_1=45%) in dimension 10 (seed=1234)\n       Covariance matrix is diagonal for 10 iterations (1/ccov=29.0)\n    Iterat #Fevals   function value     axis ratio  sigma   minstd maxstd min:sec\n        1      10 1.264232686260072e+02 1.1e+00 4.40e-01  4e-01  4e-01\n        2      20 1.023929748193649e+02 1.1e+00 4.00e-01  4e-01  4e-01\n        3      30 1.214724267489674e+02 1.2e+00 3.70e-01  3e-01  4e-01\n      100    1000 6.366683525319511e+00 6.2e+00 2.49e-02  9e-03  3e-02\n      200    2000 3.347312410388666e+00 1.2e+01 4.52e-02  8e-03  4e-02\n      300    3000 1.027509686232270e+00 1.3e+01 2.85e-02  5e-03  2e-02\n      400    4000 1.279649321170636e-01 2.3e+01 3.53e-02  3e-03  3e-02\n      500    5000 4.302636076186532e-04 4.6e+01 4.78e-03  3e-04  5e-03\n      600    6000 6.943669235595049e-11 5.1e+01 5.41e-06  1e-07  4e-06\n      650    6500 5.557961334063003e-14 5.4e+01 1.88e-07  4e-09  1e-07\n    termination on tolfun : 1e-11\n    final/bestever f-value = 5.55796133406e-14 2.62435631419e-14\n    mean solution:  [ 1.          1.00000001  1.          1.\n        1.          1.00000001  1.00000002  1.00000003 ...]\n    std deviation: [ 3.9193387e-09  3.7792732e-09  4.0062285e-09  4.6605925e-09\n        5.4966188e-09   7.4377745e-09   1.3797207e-08   2.6020765e-08 ...]\n    >>>\n    >>> print('best solutions fitness = %f' % (res[1]))\n    best solutions fitness = 2.62435631419e-14\n    >>> assert res[1] < 1e-12\n\n    The method ::\n\n        cma.plot();\n\n    (based on `matplotlib.pylab`) produces a plot of the run and, if necessary::\n\n        cma.show()\n\n    shows the plot in a window. To continue you might need to\n    close the pop-up window. This behavior seems to disappear in\n    subsequent calls of `cma.plot()` and is avoided by using\n    `ipython` with `-pylab` option. Finally ::\n\n        cma.savefig('myfirstrun')  # savefig from matplotlib.pylab\n\n    will save the figure in a png.\n\n    :See: `CMAEvolutionStrategy`, `OOOptimizer.optimize(), `plot()`, `Options`, `scipy.optimize.fmin()`\n\n    \"\"\" # style guides say there should be the above empty line\n    try: # pass on KeyboardInterrupt\n        opts = locals()  # collect all local variables (i.e. arguments) in a dictionary\n        del opts['func'] # remove those without a default value\n        del opts['args']\n        del opts['x0']      # is not optional, no default available\n        del opts['sigma0']  # is not optional for the constructor CMAEvolutionStrategy\n        if not func:  # return available options in a dictionary\n            return Options(opts, True)  # these opts are by definition valid\n\n        # TODO: this is very ugly:\n        incpopsize = Options({'incpopsize':incpopsize}).eval('incpopsize')\n        restarts = Options({'restarts':restarts}).eval('restarts')\n        del opts['restarts']\n        noise_handling = Options({'noise_handling': noise_handling}).eval('noise_handling')\n        del opts['noise_handling']# otherwise CMA throws an error\n\n        irun = 0\n        best = BestSolution()\n        while 1:\n            # recover from a CMA object\n            if irun == 0 and isinstance(x0, CMAEvolutionStrategy):\n                es = x0\n                x0 = es.inputargs['x0']  # for the next restarts\n                if sigma0 is None or not np.isscalar(array(sigma0)):\n                    sigma0 = es.inputargs['sigma0']  # for the next restarts\n                # ignore further input args and keep original options\n            else:  # default case\n                if irun and opts['restart_from_best']:\n                    print('CAVE: restart_from_best is typically not useful')\n                    es = CMAEvolutionStrategy(best.x, sigma0, opts)\n                else:\n                    es = CMAEvolutionStrategy(x0, sigma0, opts)\n                if opts['eval_initial_x']:\n                    x = es.gp.pheno(es.mean, bounds=es.gp.bounds)\n                    es.best.update([x], None, [func(x, *args)], 1)\n                    es.countevals += 1\n\n            opts = es.opts  # processed options, unambiguous\n\n            append = opts['verb_append'] or es.countiter > 0 or irun > 0\n            logger = CMADataLogger(opts['verb_filenameprefix'], opts['verb_log'])\n            logger.register(es, append).add()  # initial values, not fitness values\n\n            # if es.countiter == 0 and es.opts['verb_log'] > 0 and not es.opts['verb_append']:\n            #    logger = CMADataLogger(es.opts['verb_filenameprefix']).register(es)\n            #    logger.add()\n            # es.writeOutput()  # initial values for sigma etc\n\n            noisehandler = NoiseHandler(es.N, noise_handling, np.median, opts['noise_reevals'], opts['noise_eps'], opts['eval_parallel'])\n            while not es.stop():\n                X, fit = es.ask_and_eval(func, args, evaluations=noisehandler.evaluations,\n                                         aggregation=np.median) # treats NaN with resampling\n                # TODO: check args and in case use args=(noisehandler.evaluations, )\n\n                if 11 < 3 and opts['vv']:  # inject a solution\n                    # use option check_point = [0]\n                    if 0 * np.random.randn() >= 0:\n                        X[0] = 0 + opts['vv'] * es.sigma**0 * np.random.randn(es.N)\n                        fit[0] = func(X[0], *args)\n                        # print fit[0]\n                es.tell(X, fit)  # prepare for next iteration\n                if noise_handling:\n                    es.sigma *= noisehandler(X, fit, func, es.ask, args)**opts['noise_change_sigma']\n                    es.countevals += noisehandler.evaluations_just_done  # TODO: this is a hack, not important though\n\n                es.disp()\n                logger.add(more_data=[noisehandler.evaluations, 10**noisehandler.noiseS] if noise_handling else [],\n                           modulo=1 if es.stop() and logger.modulo else None)\n                if opts['verb_log'] and opts['verb_plot'] and \\\n                    (es.countiter % max(opts['verb_plot'], opts['verb_log']) == 0 or es.stop()):\n                    logger.plot(324, fontsize=10)\n\n            # end while not es.stop\n            mean_pheno = es.gp.pheno(es.mean, bounds=es.gp.bounds)\n            fmean = func(mean_pheno, *args)\n            es.countevals += 1\n\n            es.best.update([mean_pheno], None, [fmean], es.countevals)\n            best.update(es.best)  # in restarted case\n\n            # final message\n            if opts['verb_disp']:\n                srestarts = (' after %i restart' + ('s' if irun > 1 else '')) % irun if irun else ''\n                for k, v in list(es.stop().items()):\n                    print('termination on %s=%s%s (%s)' % (k, str(v), srestarts, time.asctime()))\n\n                print('final/bestever f-value = %e %e' % (es.best.last.f, best.f))\n                if es.N < 9:\n                    print('mean solution: ' + str(es.gp.pheno(es.mean)))\n                    print('std deviation: ' + str(es.sigma * sqrt(es.dC) * es.gp.scales))\n                else:\n                    print('mean solution: %s ...]' % (str(es.gp.pheno(es.mean)[:8])[:-1]))\n                    print('std deviations: %s ...]' % (str((es.sigma * sqrt(es.dC) * es.gp.scales)[:8])[:-1]))\n\n            irun += 1\n            if irun > restarts or 'ftarget' in es.stopdict or 'maxfunevals' in es.stopdict:\n                break\n            opts['verb_append'] = es.countevals\n            opts['popsize'] = incpopsize * es.sp.popsize # TODO: use rather options?\n            opts['seed'] += 1\n\n        # while irun\n\n        es.out['best'] = best  # TODO: this is a rather suboptimal type for inspection in the shell\n        if 1 < 3:\n            return es.result() + (es.stop(), es, logger)\n\n        else: # previously: to be removed\n            return (best.x.copy(), best.f, es.countevals,\n                    dict((('stopdict', CMAStopDict(es.stopdict))\n                          ,('mean', es.gp.pheno(es.mean))\n                          ,('std', es.sigma * sqrt(es.dC) * es.gp.scales)\n                          ,('out', es.out)\n                          ,('opts', es.opts)  # last state of options\n                          ,('cma', es)\n                          ,('inputargs', es.inputargs)\n                          ))\n                   )\n        # TODO refine output, can #args be flexible?\n        # is this well usable as it is now?\n    except KeyboardInterrupt:  # Exception, e:\n        if opts['verb_disp'] > 0:\n            print(' in/outcomment ``raise`` in last line of cma.fmin to prevent/restore KeyboardInterrupt exception')\n        raise  # cave: swallowing this exception can silently mess up experiments, if ctrl-C is hit\ndef plot(name=None, fig=None, abscissa=1, iteridx=None, plot_mean=True,  # TODO: plot_mean default should be False\n    foffset=1e-19, x_opt=None, fontsize=10):\n    \"\"\"\n    plot data from files written by a `CMADataLogger`,\n    the call ``cma.plot(name, **argsdict)`` is a shortcut for\n    ``cma.CMADataLogger(name).plot(**argsdict)``\n\n    Arguments\n    ---------\n        `name`\n            name of the logger, filename prefix, None evaluates to\n            the default 'outcmaes'\n        `fig`\n            filename or figure number, or both as a tuple (any order)\n        `abscissa`\n            0==plot versus iteration count,\n            1==plot versus function evaluation number\n        `iteridx`\n            iteration indices to plot\n\n    Return `None`\n\n    Examples\n    --------\n    ::\n\n       cma.plot();  # the optimization might be still\n                    # running in a different shell\n       cma.show()  # to continue you might need to close the pop-up window\n                   # once and call cma.plot() again.\n                   # This behavior seems to disappear in subsequent\n                   # calls of cma.plot(). Also using ipython with -pylab\n                   # option might help.\n       cma.savefig('fig325.png')\n       cma.close()\n\n       cdl = cma.CMADataLogger().downsampling().plot()\n\n    Details\n    -------\n    Data from codes in other languages (C, Java, Matlab, Scilab) have the same\n    format and can be plotted just the same.\n\n    :See: `CMADataLogger`, `CMADataLogger.plot()`\n\n    \"\"\"\n    CMADataLogger(name).plot(fig, abscissa, iteridx, plot_mean, foffset, x_opt, fontsize)\ndef disp(name=None, idx=None):\n    \"\"\"displays selected data from (files written by) the class `CMADataLogger`.\n\n    The call ``cma.disp(name, idx)`` is a shortcut for ``cma.CMADataLogger(name).disp(idx)``.\n\n    Arguments\n    ---------\n        `name`\n            name of the logger, filename prefix, `None` evaluates to\n            the default ``'outcmaes'``\n        `idx`\n            indices corresponding to rows in the data file; by\n            default the first five, then every 100-th, and the last\n            10 rows. Too large index values are removed.\n\n    Examples\n    --------\n    ::\n\n       import cma, numpy\n       # assume some data are available from previous runs\n       cma.disp(None,numpy.r_[0,-1])  # first and last\n       cma.disp(None,numpy.r_[0:1e9:100,-1]) # every 100-th and last\n       cma.disp(idx=numpy.r_[0,-10:0]) # first and ten last\n       cma.disp(idx=numpy.r_[0:1e9:1e3,-10:0])\n\n    :See: `CMADataLogger.disp()`\n\n    \"\"\"\n    return CMADataLogger(name if name else 'outcmaes'\n                         ).disp(idx)\n\n#____________________________________________________________\ndef _fileToMatrix(file_name):\n    \"\"\"rudimentary method to read in data from a file\"\"\"\n    # TODO: np.loadtxt() might be an alternative\n    #     try:\n    if 1 < 3:\n        lres = []\n        for line in open(file_name, 'r').readlines():\n            if len(line) > 0 and line[0] not in ('%', '#'):\n                lres.append(list(map(float, line.split())))\n        res = lres\n    else:\n        fil = open(file_name, 'r')\n        fil.readline() # rudimentary, assume one comment line\n        lineToRow = lambda line: list(map(float, line.split()))\n        res = list(map(lineToRow, fil.readlines()))\n        fil.close()  # close file could be omitted, reference counting should do during garbage collection, but...\n\n    while res != [] and res[0] == []:  # remove further leading empty lines\n        del res[0]\n    return res\n    #     except:\n    print('could not read file ' + file_name)\n\n#____________________________________________________________\n#____________________________________________________________\nclass NoiseHandler(object):\n    \"\"\"Noise handling according to [Hansen et al 2009, A Method for Handling\n    Uncertainty in Evolutionary Optimization...]\n\n    The interface of this class is yet versatile and subject to changes.\n\n    The attribute ``evaluations`` serves to control the noise via number of\n    evaluations, for example with `ask_and_eval()`, see also parameter\n    ``maxevals`` and compare the example.\n\n    Example\n    -------\n    >>> import cma, numpy as np\n    >>> func = cma.Fcts.noisysphere\n    >>> es = cma.CMAEvolutionStrategy(np.ones(10), 1)\n    >>> logger = cma.CMADataLogger().register(es)\n    >>> nh = cma.NoiseHandler(es.N, maxevals=[1, 30])\n    >>> while not es.stop():\n    ...     X, fit = es.ask_and_eval(func, evaluations=nh.evaluations)\n    ...     es.tell(X, fit)  # prepare for next iteration\n    ...     es.sigma *= nh(X, fit, func, es.ask)  # see method __call__\n    ...     es.countevals += nh.evaluations_just_done  # this is a hack, not important though\n    ...     logger.add(more_data = [nh.evaluations, nh.noiseS])  # add a data point\n    ...     es.disp()\n    ...     # nh.maxevals = ...  it might be useful to start with smaller values and then increase\n    >>> print(es.stop())\n    >>> print(es.result()[-2])  # take mean value, the best solution is totally off\n    >>> assert sum(es.result()[-2]**2) < 1e-9\n    >>> print(X[np.argmin(fit)])  # not bad, but probably worse than the mean\n    >>> logger.plot()\n\n    The noise options of `fmin()` control a `NoiseHandler` instance similar to this\n    example. The command ``cma.Options('noise')`` lists in effect the parameters of\n    `__init__` apart from ``aggregate``.\n\n    Details\n    -------\n    The parameters reevals, theta, c_s, and alpha_t are set differently\n    than in the original publication, see method `__init__()`. For a\n    very small population size, say popsize <= 5, the measurement\n    technique based on rank changes is likely to fail.\n\n    Missing Features\n    ----------------\n    In case no noise is found, ``self.lam_reeval`` should be adaptive\n    and get at least as low as 1 (however the possible savings from this\n    are rather limited). Another option might be to decide during the\n    first call by a quantitative analysis of fitness values whether\n    ``lam_reeval`` is set to zero. More generally, an automatic noise\n    mode detection might also set the covariance matrix learning rates\n    to smaller values.\n\n    :See: `fmin()`, `ask_and_eval()`\n\n    \"\"\"\n    def __init__(self, N, maxevals=10, aggregate=np.median, reevals=None, epsilon=1e-7, parallel=False):\n        \"\"\"parameters are\n            `N`\n                dimension\n            `maxevals`\n                maximal value for ``self.evaluations``, where\n                ``self.evaluations`` function calls are aggregated for\n                noise treatment. With ``maxevals == 0`` the noise\n                handler is (temporarily) \"switched off\". If `maxevals`\n                is a list, min value and (for >2 elements) median are\n                used to define minimal and initial value of\n                ``self.evaluations``. Choosing ``maxevals > 1`` is only\n                reasonable, if also the original ``fit`` values (that\n                are passed to `__call__`) are computed by aggregation of\n                ``self.evaluations`` values (otherwise the values are\n                not comparable), as it is done within `fmin()`.\n            `aggregate`\n                function to aggregate single f-values to a 'fitness', e.g.\n                ``np.median``.\n            `reevals`\n                number of solutions to be reevaluated for noise measurement,\n                can be a float, by default set to ``1.5 + popsize/20``,\n                zero switches noise handling off.\n            `epsilon`\n                multiplier for perturbation of the reevaluated solutions\n            `parallel`\n                a single f-call with all resampled solutions\n\n            :See: `fmin()`, `Options`, `CMAEvolutionStrategy.ask_and_eval()`\n\n        \"\"\"\n        self.lam_reeval = reevals  # 2 + popsize/20, see method indices(), originally 2 + popsize/10\n        self.epsilon = epsilon\n        self.parallel = parallel\n        self.theta = 0.5  # originally 0.2\n        self.cum = 0.3  # originally 1, 0.3 allows one disagreement of current point with resulting noiseS\n        self.alphasigma = 1 + 2 / (N+10)\n        self.alphaevals = 1 + 2 / (N+10)  # originally 1.5\n        self.alphaevalsdown = self.alphaevals**-0.25  # originally 1/1.5\n        self.evaluations = 1  # to aggregate for a single f-evaluation\n        self.minevals = 1\n        self.maxevals = int(np.max(maxevals))\n        if hasattr(maxevals, '__contains__'):  # i.e. can deal with ``in``\n            if len(maxevals) > 1:\n                self.minevals = min(maxevals)\n                self.evaluations = self.minevals\n            if len(maxevals) > 2:\n                self.evaluations = np.median(maxevals)\n        self.f_aggregate = aggregate\n        self.evaluations_just_done = 0  # actually conducted evals, only for documentation\n        self.noiseS = 0\n\n    def __call__(self, X, fit, func, ask=None, args=()):\n        \"\"\"proceed with noise measurement, set anew attributes ``evaluations``\n        (proposed number of evaluations to \"treat\" noise) and ``evaluations_just_done``\n        and return a factor for increasing sigma.\n\n        Parameters\n        ----------\n            `X`\n                a list/sequence/vector of solutions\n            `fit`\n                the respective list of function values\n            `func`\n                the objective function, ``fit[i]`` corresponds to ``func(X[i], *args)``\n            `ask`\n                a method to generate a new, slightly disturbed solution. The argument\n                is mandatory if ``epsilon`` is not zero, see `__init__()`.\n            `args`\n                optional additional arguments to `func`\n\n        Details\n        -------\n        Calls the methods ``reeval()``, ``update_measure()`` and ``treat()`` in this order.\n        ``self.evaluations`` is adapted within the method `treat()`.\n\n        \"\"\"\n        self.evaluations_just_done = 0\n        if not self.maxevals or self.lam_reeval == 0:\n            return 1.0\n        res = self.reeval(X, fit, func, ask, args)\n        if not len(res):\n            return 1.0\n        self.update_measure()\n        return self.treat()\n\n    def get_evaluations(self):\n        \"\"\"return ``self.evaluations``, the number of evalutions to get a single fitness measurement\"\"\"\n        return self.evaluations\n\n    def treat(self):\n        \"\"\"adapt self.evaluations depending on the current measurement value\n        and return ``sigma_fac in (1.0, self.alphasigma)``\n\n        \"\"\"\n        if self.noiseS > 0:\n            self.evaluations = min((self.evaluations * self.alphaevals, self.maxevals))\n            return self.alphasigma\n        else:\n            self.evaluations = max((self.evaluations * self.alphaevalsdown, self.minevals))\n            return 1.0\n\n    def reeval(self, X, fit, func, ask, args=()):\n        \"\"\"store two fitness lists, `fit` and ``fitre`` reevaluating some\n        solutions in `X`.\n        ``self.evaluations`` evaluations are done for each reevaluated\n        fitness value.\n        See `__call__()`, where `reeval()` is called.\n\n        \"\"\"\n        self.fit = list(fit)\n        self.fitre = list(fit)\n        self.idx = self.indices(fit)\n        if not len(self.idx):\n            return self.idx\n        evals = int(self.evaluations) if self.f_aggregate else 1\n        fagg = np.median if self.f_aggregate is None else self.f_aggregate\n        for i in self.idx:\n            if self.epsilon:\n                if self.parallel:\n                    self.fitre[i] = fagg(func(ask(evals, X[i], self.epsilon), *args))\n                else:\n                    self.fitre[i] = fagg([func(ask(1, X[i], self.epsilon)[0], *args)\n                                            for _k in range(evals)])\n            else:\n                self.fitre[i] = fagg([func(X[i], *args) for _k in range(evals)])\n        self.evaluations_just_done = evals * len(self.idx)\n        return self.fit, self.fitre, self.idx\n\n    def update_measure(self):\n        \"\"\"updated noise level measure using two fitness lists ``self.fit`` and\n        ``self.fitre``, return ``self.noiseS, all_individual_measures``.\n\n        Assumes that `self.idx` contains the indices where the fitness\n        lists differ\n\n        \"\"\"\n        lam = len(self.fit)\n        idx = np.argsort(self.fit + self.fitre)\n        ranks = np.argsort(idx).reshape((2, lam))\n        rankDelta = ranks[0] - ranks[1] - np.sign(ranks[0] - ranks[1])\n\n        # compute rank change limits using both ranks[0] and ranks[1]\n        r = np.arange(1, 2 * lam)  # 2 * lam - 2 elements\n        limits = [0.5 * (Mh.prctile(np.abs(r - (ranks[0,i] + 1 - (ranks[0,i] > ranks[1,i]))),\n                                      self.theta*50) +\n                         Mh.prctile(np.abs(r - (ranks[1,i] + 1 - (ranks[1,i] > ranks[0,i]))),\n                                      self.theta*50))\n                    for i in self.idx]\n        # compute measurement\n        #                               max: 1 rankchange in 2*lambda is always fine\n        s = np.abs(rankDelta[self.idx]) - Mh.amax(limits, 1)  # lives roughly in 0..2*lambda\n        self.noiseS += self.cum * (np.mean(s) - self.noiseS)\n        return self.noiseS, s\n\n    def indices(self, fit):\n        \"\"\"return the set of indices to be reevaluted for noise measurement,\n        taking the ``lam_reeval`` best from the first ``2 * lam_reeval + 2``\n        values.\n\n        Given the first values are the earliest, this is a useful policy also\n        with a time changing objective.\n\n        \"\"\"\n        lam = self.lam_reeval if self.lam_reeval else 2 + len(fit) / 20\n        reev = int(lam) + ((lam % 1) > np.random.rand())\n        return np.argsort(array(fit, copy=False)[:2 * (reev + 1)])[:reev]\n\n#____________________________________________________________\n#____________________________________________________________\nclass Sections(object):\n    \"\"\"plot sections through an objective function. A first\n    rational thing to do, when facing an (expensive) application.\n    By default 6 points in each coordinate are evaluated.\n    This class is still experimental.\n\n    Examples\n    --------\n\n    >>> import cma, numpy as np\n    >>> s = cma.Sections(cma.Fcts.rosen, np.zeros(3)).do(plot=False)\n    >>> s.do(plot=False)  # evaluate the same points again, i.e. check for noise\n    >>> try:\n    ...     s.plot()\n    ... except:\n    ...     print('plotting failed: pylab package is missing?')\n\n    Details\n    -------\n    Data are saved after each function call during `do()`. The filename is attribute\n    ``name`` and by default ``str(func)``, see `__init__()`.\n\n    A random (orthogonal) basis can be generated with ``cma.Rotation()(np.eye(3))``.\n\n    The default name is unique in the function name, but it should be unique in all\n    parameters of `__init__()` but `plot_cmd` and `load`.\n\n    ``self.res`` is a dictionary with an entry for each \"coordinate\" ``i`` and with an\n    entry ``'x'``, the middle point. Each entry ``i`` is again a dictionary with keys\n    being different dx values and the value being a sequence of f-values.\n    For example ``self.res[2][0.1] == [0.01, 0.01]``, which is generated using the\n    difference vector ``self.basis[2]`` like\n    ``self.res[2][dx] += func(self.res['x'] + dx * self.basis[2])``.\n\n    :See: `__init__()`\n\n    \"\"\"\n    def __init__(self, func, x, args=(), basis=None, name=None,\n                 plot_cmd=pylab.plot if pylab else None, load=True):\n        \"\"\"\n        Parameters\n        ----------\n            `func`\n                objective function\n            `x`\n                point in search space, middle point of the sections\n            `args`\n                arguments passed to `func`\n            `basis`\n                evaluated points are ``func(x + locations[j] * basis[i]) for i in len(basis) for j in len(locations)``,\n                see `do()`\n            `name`\n                filename where to save the result\n            `plot_cmd`\n                command used to plot the data, typically matplotlib pylabs `plot` or `semilogy`\n            `load`\n                load previous data from file ``str(func) + '.pkl'``\n\n        \"\"\"\n        self.func = func\n        self.args = args\n        self.x = x\n        self.name = name if name else str(func).replace(' ', '_').replace('>', '').replace('<', '')\n        self.plot_cmd = plot_cmd  # or semilogy\n        self.basis = np.eye(len(x)) if basis is None else basis\n\n        try:\n            self.load()\n            if any(self.res['x'] != x):\n                self.res = {}\n                self.res['x'] = x  # TODO: res['x'] does not look perfect\n            else:\n                print(self.name + ' loaded')\n        except:\n            self.res = {}\n            self.res['x'] = x\n\n    def do(self, repetitions=1, locations=np.arange(-0.5, 0.6, 0.2), plot=True):\n        \"\"\"generates, plots and saves function values ``func(y)``,\n        where ``y`` is 'close' to `x` (see `__init__()`). The data are stored in\n        the ``res`` attribute and the class instance is saved in a file\n        with (the weired) name ``str(func)``.\n\n        Parameters\n        ----------\n            `repetitions`\n                for each point, only for noisy functions is >1 useful. For\n                ``repetitions==0`` only already generated data are plotted.\n            `locations`\n                coordinated wise deviations from the middle point given in `__init__`\n\n        \"\"\"\n        if not repetitions:\n            self.plot()\n            return\n\n        res = self.res\n        for i in range(len(self.basis)): # i-th coordinate\n            if i not in res:\n                res[i] = {}\n            # xx = np.array(self.x)\n            # TODO: store res[i]['dx'] = self.basis[i] here?\n            for dx in locations:\n                xx = self.x + dx * self.basis[i]\n                xkey = dx  # xx[i] if (self.basis == np.eye(len(self.basis))).all() else dx\n                if xkey not in res[i]:\n                    res[i][xkey] = []\n                n = repetitions\n                while n > 0:\n                    n -= 1\n                    res[i][xkey].append(self.func(xx, *self.args))\n                    if plot:\n                        self.plot()\n                    self.save()\n        return self\n\n    def plot(self, plot_cmd=None, tf=lambda y: y):\n        \"\"\"plot the data we have, return ``self``\"\"\"\n        if not plot_cmd:\n            plot_cmd = self.plot_cmd\n        colors = 'bgrcmyk'\n        pylab.hold(False)\n        res = self.res\n\n        flatx, flatf = self.flattened()\n        minf = np.inf\n        for i in flatf:\n            minf = min((minf, min(flatf[i])))\n        addf = 1e-9 - minf  if minf <= 0 else 0\n        for i in sorted(res.keys()):  # we plot not all values here\n            if type(i) is int:\n                color = colors[i % len(colors)]\n                arx = sorted(res[i].keys())\n                plot_cmd(arx, [tf(np.median(res[i][x]) + addf) for x in arx], color + '-')\n                pylab.text(arx[-1], tf(np.median(res[i][arx[-1]])), i)\n                pylab.hold(True)\n                plot_cmd(flatx[i], tf(np.array(flatf[i]) + addf), color + 'o')\n        pylab.ylabel('f + ' + str(addf))\n        pylab.draw()\n        show()\n        # raw_input('press return')\n        return self\n\n    def flattened(self):\n        \"\"\"return flattened data ``(x, f)`` such that for the sweep through\n        coordinate ``i`` we have for data point ``j`` that ``f[i][j] == func(x[i][j])``\n\n        \"\"\"\n        flatx = {}\n        flatf = {}\n        for i in self.res:\n            if type(i) is int:\n                flatx[i] = []\n                flatf[i] = []\n                for x in sorted(self.res[i]):\n                    for d in sorted(self.res[i][x]):\n                        flatx[i].append(x)\n                        flatf[i].append(d)\n        return flatx, flatf\n\n    def save(self, name=None):\n        \"\"\"save to file\"\"\"\n        import pickle\n        name = name if name else self.name\n        fun = self.func\n        del self.func  # instance method produces error\n        pickle.dump(self, open(name + '.pkl', \"wb\" ))\n        self.func = fun\n        return self\n\n    def load(self, name=None):\n        \"\"\"load from file\"\"\"\n        import pickle\n        name = name if name else self.name\n        s = pickle.load(open(name + '.pkl', 'rb'))\n        self.res = s.res  # disregard the class\n        return self\n#____________________________________________________________\n#____________________________________________________________\nclass _Error(Exception):\n    \"\"\"generic exception of cma module\"\"\"\n    pass\n\n#____________________________________________________________\n#____________________________________________________________\n#\nclass ElapsedTime(object):\n    \"\"\"32-bit C overflows after int(2**32/1e6) == 4294s about 72 min\"\"\"\n    def __init__(self):\n        self.tic0 = time.clock()\n        self.tic = self.tic0\n        self.lasttoc = time.clock()\n        self.lastdiff = time.clock() - self.lasttoc\n        self.time_to_add = 0\n        self.messages = 0\n\n    def __call__(self):\n        toc = time.clock()\n        if toc - self.tic >= self.lasttoc - self.tic:\n            self.lastdiff = toc - self.lasttoc\n            self.lasttoc = toc\n        else:  # overflow, reset self.tic\n            if self.messages < 3:\n                self.messages += 1\n                print('  in cma.ElapsedTime: time measure overflow, last difference estimated from',\n                        self.tic0, self.tic, self.lasttoc, toc, toc - self.lasttoc, self.lastdiff)\n\n            self.time_to_add += self.lastdiff + self.lasttoc - self.tic\n            self.tic = toc  # reset\n            self.lasttoc = toc\n        self.elapsedtime = toc - self.tic + self.time_to_add\n        return self.elapsedtime\n\n#____________________________________________________________\n#____________________________________________________________\n#\nclass TimeIt(object):\n    def __init__(self, fct, args=(), seconds=1):\n        pass\n\nclass Misc(object):\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    class MathHelperFunctions(object):\n        \"\"\"static convenience math helper functions, if the function name\n        is preceded with an \"a\", a numpy array is returned\n\n        \"\"\"\n        @staticmethod\n        def aclamp(x, upper):\n            return -Misc.MathHelperFunctions.apos(-x, -upper)\n        @staticmethod\n        def expms(A, eig=np.linalg.eigh):\n            \"\"\"matrix exponential for a symmetric matrix\"\"\"\n            # TODO: check that this works reliably for low rank matrices\n            # first: symmetrize A\n            D, B = eig(A)\n            return np.dot(B, (np.exp(D) * B).T)\n        @staticmethod\n        def amax(vec, vec_or_scalar):\n            return array(Misc.MathHelperFunctions.max(vec, vec_or_scalar))\n        @staticmethod\n        def max(vec, vec_or_scalar):\n            b = vec_or_scalar\n            if np.isscalar(b):\n                m = [max(x, b) for x in vec]\n            else:\n                m = [max(vec[i], b[i]) for i in range(len(vec))]\n            return m\n        @staticmethod\n        def amin(vec_or_scalar, vec_or_scalar2):\n            return array(Misc.MathHelperFunctions.min(vec_or_scalar, vec_or_scalar2))\n        @staticmethod\n        def min(a, b):\n            iss = np.isscalar\n            if iss(a) and iss(b):\n                return min(a, b)\n            if iss(a):\n                a, b = b, a\n            # now only b can be still a scalar\n            if iss(b):\n                return [min(x, b) for x in a]\n            else:  # two non-scalars must have the same length\n                return [min(a[i], b[i]) for i in range(len(a))]\n        @staticmethod\n        def norm(vec, expo=2):\n            return sum(vec**expo)**(1/expo)\n        @staticmethod\n        def apos(x, lower=0):\n            \"\"\"clips argument (scalar or array) from below at lower\"\"\"\n            if lower == 0:\n                return (x > 0) * x\n            else:\n                return lower + (x > lower) * (x - lower)\n        @staticmethod\n        def prctile(data, p_vals=[0, 25, 50, 75, 100], sorted_=False):\n            \"\"\"``prctile(data, 50)`` returns the median, but p_vals can\n            also be a sequence.\n\n            Provides for small samples better values than matplotlib.mlab.prctile,\n            however also slower.\n\n            \"\"\"\n            ps = [p_vals] if np.isscalar(p_vals) else p_vals\n\n            if not sorted_:\n                data = sorted(data)\n            n = len(data)\n            d = []\n            for p in ps:\n                fi = p * n / 100 - 0.5\n                if fi <= 0:  # maybe extrapolate?\n                    d.append(data[0])\n                elif fi >= n - 1:\n                    d.append(data[-1])\n                else:\n                    i = int(fi)\n                    d.append((i+1 - fi) * data[i] + (fi - i) * data[i+1])\n            return d[0] if np.isscalar(p_vals) else d\n        @staticmethod\n        def sround(nb):  # TODO: to be vectorized\n            \"\"\"return stochastic round: floor(nb) + (rand()<remainder(nb))\"\"\"\n            return nb // 1 + (np.random.rand(1)[0] < (nb % 1))\n\n        @staticmethod\n        def cauchy_with_variance_one():\n            n = np.random.randn() / np.random.randn()\n            while abs(n) > 1000:\n                n = np.random.randn() / np.random.randn()\n            return n / 25\n        @staticmethod\n        def standard_finite_cauchy(size=1):\n            try:\n                l = len(size)\n            except TypeError:\n                l = 0\n\n            if l == 0:\n                return array([Mh.cauchy_with_variance_one() for _i in range(size)])\n            elif l == 1:\n                return array([Mh.cauchy_with_variance_one() for _i in range(size[0])])\n            elif l == 2:\n                return array([[Mh.cauchy_with_variance_one() for _i in range(size[1])]\n                             for _j in range(size[0])])\n            else:\n                raise _Error('len(size) cannot be large than two')\n\n\n    @staticmethod\n    def likelihood(x, m=None, Cinv=None, sigma=1, detC=None):\n        \"\"\"return likelihood of x for the normal density N(m, sigma**2 * Cinv**-1)\"\"\"\n        # testing: MC integrate must be one: mean(p(x_i)) * volume(where x_i are uniformely sampled)\n        # for i in range(3): print mean([cma.likelihood(20*r-10, dim * [0], None, 3) for r in rand(10000,dim)]) * 20**dim\n        if m is None:\n            dx = x\n        else:\n            dx = x - m  # array(x) - array(m)\n        n = len(x)\n        s2pi = (2*np.pi)**(n/2.)\n        if Cinv is None:\n            return exp(-sum(dx**2) / sigma**2 / 2) / s2pi / sigma**n\n        if detC is None:\n            detC = 1. / np.linalg.linalg.det(Cinv)\n        return  exp(-np.dot(dx, np.dot(Cinv, dx)) / sigma**2 / 2) / s2pi / abs(detC)**0.5 / sigma**n\n\n    @staticmethod\n    def loglikelihood(self, x, previous=False):\n        \"\"\"return log-likelihood of `x` regarding the current sample distribution\"\"\"\n        # testing of original fct: MC integrate must be one: mean(p(x_i)) * volume(where x_i are uniformely sampled)\n        # for i in range(3): print mean([cma.likelihood(20*r-10, dim * [0], None, 3) for r in rand(10000,dim)]) * 20**dim\n        # TODO: test this!!\n        # c=cma.fmin...\n        # c[3]['cma'].loglikelihood(...)\n\n        if previous and hasattr(self, 'lastiter'):\n            sigma = self.lastiter.sigma\n            Crootinv = self.lastiter._Crootinv\n            xmean = self.lastiter.mean\n            D = self.lastiter.D\n        elif previous and self.countiter > 1:\n            raise _Error('no previous distribution parameters stored, check options importance_mixing')\n        else:\n            sigma = self.sigma\n            Crootinv = self._Crootinv\n            xmean = self.mean\n            D = self.D\n\n        dx = array(x) - xmean  # array(x) - array(m)\n        n = self.N\n        logs2pi = n * log(2*np.pi) / 2.\n        logdetC = 2 * sum(log(D))\n        dx = np.dot(Crootinv, dx)\n        res = -sum(dx**2) / sigma**2 / 2 - logs2pi - logdetC/2 - n*log(sigma)\n        if 1 < 3: # testing\n            s2pi = (2*np.pi)**(n/2.)\n            detC = np.prod(D)**2\n            res2 = -sum(dx**2) / sigma**2 / 2 - log(s2pi * abs(detC)**0.5 * sigma**n)\n            assert res2 < res + 1e-8 or res2 > res - 1e-8\n        return res\n\n    #____________________________________________________________\n    #____________________________________________________________\n    #\n    # C and B are arrays rather than matrices, because they are\n    # addressed via B[i][j], matrices can only be addressed via B[i,j]\n\n    # tred2(N, B, diagD, offdiag);\n    # tql2(N, diagD, offdiag, B);\n\n\n    # Symmetric Householder reduction to tridiagonal form, translated from JAMA package.\n    @staticmethod\n    def eig(C):\n        \"\"\"eigendecomposition of a symmetric matrix, much slower than\n        `numpy.linalg.eigh`, return ``(EVals, Basis)``, the eigenvalues\n        and an orthonormal basis of the corresponding eigenvectors, where\n\n            ``Basis[i]``\n                the i-th row of ``Basis``\n            columns of ``Basis``, ``[Basis[j][i] for j in range(len(Basis))]``\n                the i-th eigenvector with eigenvalue ``EVals[i]``\n\n        \"\"\"\n\n    # class eig(object):\n    #     def __call__(self, C):\n\n    # Householder transformation of a symmetric matrix V into tridiagonal form.\n        # -> n             : dimension\n        # -> V             : symmetric nxn-matrix\n        # <- V             : orthogonal transformation matrix:\n        #                    tridiag matrix == V * V_in * V^t\n        # <- d             : diagonal\n        # <- e[0..n-1]     : off diagonal (elements 1..n-1)\n\n        # Symmetric tridiagonal QL algorithm, iterative\n        # Computes the eigensystem from a tridiagonal matrix in roughtly 3N^3 operations\n        # -> n     : Dimension.\n        # -> d     : Diagonale of tridiagonal matrix.\n        # -> e[1..n-1] : off-diagonal, output from Householder\n        # -> V     : matrix output von Householder\n        # <- d     : eigenvalues\n        # <- e     : garbage?\n        # <- V     : basis of eigenvectors, according to d\n\n\n        #  tred2(N, B, diagD, offdiag); B=C on input\n        #  tql2(N, diagD, offdiag, B);\n\n        #  private void tred2 (int n, double V[][], double d[], double e[]) {\n        def tred2 (n, V, d, e):\n            #  This is derived from the Algol procedures tred2 by\n            #  Bowdler, Martin, Reinsch, and Wilkinson, Handbook for\n            #  Auto. Comp., Vol.ii-Linear Algebra, and the corresponding\n            #  Fortran subroutine in EISPACK.\n\n            num_opt = False  # factor 1.5 in 30-D\n\n            for j in range(n):\n                d[j] = V[n-1][j] # d is output argument\n\n            # Householder reduction to tridiagonal form.\n\n            for i in range(n-1,0,-1):\n                # Scale to avoid under/overflow.\n                h = 0.0\n                if not num_opt:\n                    scale = 0.0\n                    for k in range(i):\n                        scale = scale + abs(d[k])\n                else:\n                    scale = sum(abs(d[0:i]))\n\n                if scale == 0.0:\n                    e[i] = d[i-1]\n                    for j in range(i):\n                        d[j] = V[i-1][j]\n                        V[i][j] = 0.0\n                        V[j][i] = 0.0\n                else:\n\n                    # Generate Householder vector.\n                    if not num_opt:\n                        for k in range(i):\n                            d[k] /= scale\n                            h += d[k] * d[k]\n                    else:\n                        d[:i] /= scale\n                        h = np.dot(d[:i],d[:i])\n\n                    f = d[i-1]\n                    g = h**0.5\n\n                    if f > 0:\n                        g = -g\n\n                    e[i] = scale * g\n                    h = h - f * g\n                    d[i-1] = f - g\n                    if not num_opt:\n                        for j in range(i):\n                            e[j] = 0.0\n                    else:\n                        e[:i] = 0.0\n\n                    # Apply similarity transformation to remaining columns.\n\n                    for j in range(i):\n                        f = d[j]\n                        V[j][i] = f\n                        g = e[j] + V[j][j] * f\n                        if not num_opt:\n                            for k in range(j+1, i):\n                                g += V[k][j] * d[k]\n                                e[k] += V[k][j] * f\n                            e[j] = g\n                        else:\n                            e[j+1:i] += V.T[j][j+1:i] * f\n                            e[j] = g + np.dot(V.T[j][j+1:i],d[j+1:i])\n\n                    f = 0.0\n                    if not num_opt:\n                        for j in range(i):\n                            e[j] /= h\n                            f += e[j] * d[j]\n                    else:\n                        e[:i] /= h\n                        f += np.dot(e[:i],d[:i])\n\n                    hh = f / (h + h)\n                    if not num_opt:\n                        for j in range(i):\n                            e[j] -= hh * d[j]\n                    else:\n                        e[:i] -= hh * d[:i]\n\n                    for j in range(i):\n                        f = d[j]\n                        g = e[j]\n                        if not num_opt:\n                            for k in range(j, i):\n                                V[k][j] -= (f * e[k] + g * d[k])\n                        else:\n                            V.T[j][j:i] -= (f * e[j:i] + g * d[j:i])\n\n                        d[j] = V[i-1][j]\n                        V[i][j] = 0.0\n\n                d[i] = h\n            # end for i--\n\n            # Accumulate transformations.\n\n            for i in range(n-1):\n                V[n-1][i] = V[i][i]\n                V[i][i] = 1.0\n                h = d[i+1]\n                if h != 0.0:\n                    if not num_opt:\n                        for k in range(i+1):\n                            d[k] = V[k][i+1] / h\n                    else:\n                        d[:i+1] = V.T[i+1][:i+1] / h\n\n                    for j in range(i+1):\n                        if not num_opt:\n                            g = 0.0\n                            for k in range(i+1):\n                                g += V[k][i+1] * V[k][j]\n                            for k in range(i+1):\n                                V[k][j] -= g * d[k]\n                        else:\n                            g = np.dot(V.T[i+1][0:i+1], V.T[j][0:i+1])\n                            V.T[j][:i+1] -= g * d[:i+1]\n\n                if not num_opt:\n                    for k in range(i+1):\n                        V[k][i+1] = 0.0\n                else:\n                    V.T[i+1][:i+1] = 0.0\n\n\n            if not num_opt:\n                for j in range(n):\n                    d[j] = V[n-1][j]\n                    V[n-1][j] = 0.0\n            else:\n                d[:n] = V[n-1][:n]\n                V[n-1][:n] = 0.0\n\n            V[n-1][n-1] = 1.0\n            e[0] = 0.0\n\n\n        # Symmetric tridiagonal QL algorithm, taken from JAMA package.\n        # private void tql2 (int n, double d[], double e[], double V[][]) {\n        # needs roughly 3N^3 operations\n        def tql2 (n, d, e, V):\n\n            #  This is derived from the Algol procedures tql2, by\n            #  Bowdler, Martin, Reinsch, and Wilkinson, Handbook for\n            #  Auto. Comp., Vol.ii-Linear Algebra, and the corresponding\n            #  Fortran subroutine in EISPACK.\n\n            num_opt = False  # using vectors from numpy makes it faster\n\n            if not num_opt:\n                for i in range(1,n): # (int i = 1; i < n; i++):\n                    e[i-1] = e[i]\n            else:\n                e[0:n-1] = e[1:n]\n            e[n-1] = 0.0\n\n            f = 0.0\n            tst1 = 0.0\n            eps = 2.0**-52.0\n            for l in range(n): # (int l = 0; l < n; l++) {\n\n                # Find small subdiagonal element\n\n                tst1 = max(tst1, abs(d[l]) + abs(e[l]))\n                m = l\n                while m < n:\n                    if abs(e[m]) <= eps*tst1:\n                        break\n                    m += 1\n\n                # If m == l, d[l] is an eigenvalue,\n                # otherwise, iterate.\n\n                if m > l:\n                    iiter = 0\n                    while 1: # do {\n                        iiter += 1  # (Could check iteration count here.)\n\n                        # Compute implicit shift\n\n                        g = d[l]\n                        p = (d[l+1] - g) / (2.0 * e[l])\n                        r = (p**2 + 1)**0.5  # hypot(p,1.0)\n                        if p < 0:\n                            r = -r\n\n                        d[l] = e[l] / (p + r)\n                        d[l+1] = e[l] * (p + r)\n                        dl1 = d[l+1]\n                        h = g - d[l]\n                        if not num_opt:\n                            for i in range(l+2, n):\n                                d[i] -= h\n                        else:\n                            d[l+2:n] -= h\n\n                        f = f + h\n\n                        # Implicit QL transformation.\n\n                        p = d[m]\n                        c = 1.0\n                        c2 = c\n                        c3 = c\n                        el1 = e[l+1]\n                        s = 0.0\n                        s2 = 0.0\n\n                        # hh = V.T[0].copy()  # only with num_opt\n                        for i in range(m-1, l-1, -1): # (int i = m-1; i >= l; i--) {\n                            c3 = c2\n                            c2 = c\n                            s2 = s\n                            g = c * e[i]\n                            h = c * p\n                            r = (p**2 + e[i]**2)**0.5  # hypot(p,e[i])\n                            e[i+1] = s * r\n                            s = e[i] / r\n                            c = p / r\n                            p = c * d[i] - s * g\n                            d[i+1] = h + s * (c * g + s * d[i])\n\n                            # Accumulate transformation.\n\n                            if not num_opt: # overall factor 3 in 30-D\n                                for k in range(n): # (int k = 0; k < n; k++) {\n                                    h = V[k][i+1]\n                                    V[k][i+1] = s * V[k][i] + c * h\n                                    V[k][i] = c * V[k][i] - s * h\n                            else: # about 20% faster in 10-D\n                                hh = V.T[i+1].copy()\n                                # hh[:] = V.T[i+1][:]\n                                V.T[i+1] = s * V.T[i] + c * hh\n                                V.T[i] = c * V.T[i] - s * hh\n                                # V.T[i] *= c\n                                # V.T[i] -= s * hh\n\n                        p = -s * s2 * c3 * el1 * e[l] / dl1\n                        e[l] = s * p\n                        d[l] = c * p\n\n                        # Check for convergence.\n                        if abs(e[l]) <= eps*tst1:\n                            break\n                    # } while (Math.abs(e[l]) > eps*tst1);\n\n                d[l] = d[l] + f\n                e[l] = 0.0\n\n\n            # Sort eigenvalues and corresponding vectors.\n            if 11 < 3:\n                for i in range(n-1): # (int i = 0; i < n-1; i++) {\n                    k = i\n                    p = d[i]\n                    for j in range(i+1, n): # (int j = i+1; j < n; j++) {\n                        if d[j] < p: # NH find smallest k>i\n                            k = j\n                            p = d[j]\n\n                    if k != i:\n                        d[k] = d[i] # swap k and i\n                        d[i] = p\n                        for j in range(n): # (int j = 0; j < n; j++) {\n                            p = V[j][i]\n                            V[j][i] = V[j][k]\n                            V[j][k] = p\n        # tql2\n\n        N = len(C[0])\n        if 11 < 3:\n            V = np.array([x[:] for x in C])  # copy each \"row\"\n            N = V[0].size\n            d = np.zeros(N)\n            e = np.zeros(N)\n        else:\n            V = [[x[i] for i in range(N)] for x in C]  # copy each \"row\"\n            d = N * [0.]\n            e = N * [0.]\n\n        tred2(N, V, d, e)\n        tql2(N, d, e, V)\n        return (array(d), array(V))\nMh = Misc.MathHelperFunctions\ndef pprint(to_be_printed):\n    \"\"\"nicely formated print\"\"\"\n    try:\n        import pprint as pp\n        # generate an instance PrettyPrinter\n        # pp.PrettyPrinter().pprint(to_be_printed)\n        pp.pprint(to_be_printed)\n    except ImportError:\n        print('could not use pprint module, will apply regular print')\n        print(to_be_printed)\nclass Rotation(object):\n    \"\"\"Rotation class that implements an orthogonal linear transformation,\n    one for each dimension. Used to implement non-separable test functions.\n\n    Example:\n\n    >>> import cma, numpy as np\n    >>> R = cma.Rotation()\n    >>> R2 = cma.Rotation() # another rotation\n    >>> x = np.array((1,2,3))\n    >>> print(R(R(x), inverse=1))\n    [ 1.  2.  3.]\n\n    \"\"\"\n    dicMatrices = {}  # store matrix if necessary, for each dimension\n    def __init__(self):\n        self.dicMatrices = {} # otherwise there might be shared bases which is probably not what we want\n    def __call__(self, x, inverse=False): # function when calling an object\n        \"\"\"Rotates the input array `x` with a fixed rotation matrix\n           (``self.dicMatrices['str(len(x))']``)\n        \"\"\"\n        N = x.shape[0]  # can be an array or matrix, TODO: accept also a list of arrays?\n        if str(N) not in self.dicMatrices: # create new N-basis for once and all\n            B = np.random.randn(N, N)\n            for i in range(N):\n                for j in range(0, i):\n                    B[i] -= np.dot(B[i], B[j]) * B[j]\n                B[i] /= sum(B[i]**2)**0.5\n            self.dicMatrices[str(N)] = B\n        if inverse:\n            return np.dot(self.dicMatrices[str(N)].T, x)  # compute rotation\n        else:\n            return np.dot(self.dicMatrices[str(N)], x)  # compute rotation\n# Use rotate(x) to rotate x\nrotate = Rotation()\n\n#____________________________________________________________\n#____________________________________________________________\n#\nclass FitnessFunctions(object):\n    \"\"\" versatile container for test objective functions \"\"\"\n\n    def __init__(self):\n        self.counter = 0  # number of calls or any other practical use\n    def rot(self, x, fun, rot=1, args=()):\n        \"\"\"returns ``fun(rotation(x), *args)``, ie. `fun` applied to a rotated argument\"\"\"\n        if len(np.shape(array(x))) > 1:  # parallelized\n            res = []\n            for x in x:\n                res.append(self.rot(x, fun, rot, args))\n            return res\n\n        if rot:\n            return fun(rotate(x, *args))\n        else:\n            return fun(x)\n    def somenan(self, x, fun, p=0.1):\n        \"\"\"returns sometimes np.NaN, otherwise fun(x)\"\"\"\n        if np.random.rand(1) < p:\n            return np.NaN\n        else:\n            return fun(x)\n    def rand(self, x):\n        \"\"\"Random test objective function\"\"\"\n        return np.random.random(1)[0]\n    def linear(self, x):\n        return -x[0]\n    def lineard(self, x):\n        if 1 < 3 and any(array(x) < 0):\n            return np.nan\n        if 1 < 3 and sum([ (10 + i) * x[i] for i in range(len(x))]) > 50e3:\n            return np.nan\n        return -sum(x)\n    def sphere(self, x):\n        \"\"\"Sphere (squared norm) test objective function\"\"\"\n        # return np.random.rand(1)[0]**0 * sum(x**2) + 1 * np.random.rand(1)[0]\n        return sum((x+0)**2)\n    def spherewithoneconstraint(self, x):\n        return sum((x+0)**2) if x[0] > 1 else np.nan\n    def elliwithoneconstraint(self, x, idx=[-1]):\n        return self.ellirot(x) if all(array(x)[idx] > 1) else np.nan\n\n    def spherewithnconstraints(self, x):\n        return sum((x+0)**2) if all(array(x) > 1) else np.nan\n\n    def noisysphere(self, x, noise=4.0, cond=1.0):\n        \"\"\"noise=10 does not work with default popsize, noise handling does not help \"\"\"\n        return self.elli(x, cond=cond) * (1 + noise * np.random.randn() / len(x))\n    def spherew(self, x):\n        \"\"\"Sphere (squared norm) with sum x_i = 1 test objective function\"\"\"\n        # return np.random.rand(1)[0]**0 * sum(x**2) + 1 * np.random.rand(1)[0]\n        # s = sum(abs(x))\n        # return sum((x/s+0)**2) - 1/len(x)\n        # return sum((x/s)**2) - 1/len(x)\n        return -0.01*x[0] + abs(x[0])**-2 * sum(x[1:]**2)\n    def partsphere(self, x):\n        \"\"\"Sphere (squared norm) test objective function\"\"\"\n        self.counter += 1\n        # return np.random.rand(1)[0]**0 * sum(x**2) + 1 * np.random.rand(1)[0]\n        dim = len(x)\n        x = array([x[i % dim] for i in range(2*dim)])\n        N = 8\n        i = self.counter % dim\n        #f = sum(x[i:i + N]**2)\n        f = sum(x[np.random.randint(dim, size=N)]**2)\n        return f\n    def sectorsphere(self, x):\n        \"\"\"asymmetric Sphere (squared norm) test objective function\"\"\"\n        return sum(x**2) + (1e6-1) * sum(x[x<0]**2)\n    def cornersphere(self, x):\n        \"\"\"Sphere (squared norm) test objective function constraint to the corner\"\"\"\n        nconstr = len(x) - 0\n        if any(x[:nconstr] < 1):\n            return np.NaN\n        return sum(x**2) - nconstr\n    def cornerelli(self, x):\n        \"\"\" \"\"\"\n        if any(x < 1):\n            return np.NaN\n        return self.elli(x) - self.elli(np.ones(len(x)))\n    def cornerellirot(self, x):\n        \"\"\" \"\"\"\n        if any(x < 1):\n            return np.NaN\n        return self.ellirot(x)\n    def normalSkew(self, f):\n        N = np.random.randn(1)[0]**2\n        if N < 1:\n            N = f * N  # diminish blow up lower part\n        return N\n    def noiseC(self, x, func=sphere, fac=10, expon=0.8):\n        f = func(self, x)\n        N = np.random.randn(1)[0]/np.random.randn(1)[0]\n        return max(1e-19, f + (float(fac)/len(x)) * f**expon * N)\n    def noise(self, x, func=sphere, fac=10, expon=1):\n        f = func(self, x)\n        #R = np.random.randn(1)[0]\n        R = np.log10(f) + expon * abs(10-np.log10(f)) * np.random.rand(1)[0]\n        # sig = float(fac)/float(len(x))\n        # R = log(f) + 0.5*log(f) * random.randn(1)[0]\n        # return max(1e-19, f + sig * (f**np.log10(f)) * np.exp(R))\n        # return max(1e-19, f * np.exp(sig * N / f**expon))\n        # return max(1e-19, f * normalSkew(f**expon)**sig)\n        return f + 10**R  # == f + f**(1+0.5*RN)\n    def cigar(self, x, rot=0, cond=1e6):\n        \"\"\"Cigar test objective function\"\"\"\n        if rot:\n            x = rotate(x)\n        x = [x] if np.isscalar(x[0]) else x  # scalar into list\n        f = [x[0]**2 + cond * sum(x[1:]**2) for x in x]\n        return f if len(f) > 1 else f[0]  # 1-element-list into scalar\n    def tablet(self, x, rot=0):\n        \"\"\"Tablet test objective function\"\"\"\n        if rot:\n            x = rotate(x)\n        x = [x] if np.isscalar(x[0]) else x  # scalar into list\n        f = [1e6*x[0]**2 + sum(x[1:]**2) for x in x]\n        return f if len(f) > 1 else f[0]  # 1-element-list into scalar\n    def cigtab(self, y):\n        \"\"\"Cigtab test objective function\"\"\"\n        X = [y] if np.isscalar(y[0]) else y\n        f = [1e-4 * x[0]**2 + 1e4 * x[1]**2 + sum(x[2:]**2) for x in X]\n        return f if len(f) > 1 else f[0]\n    def twoaxes(self, y):\n        \"\"\"Cigtab test objective function\"\"\"\n        X = [y] if np.isscalar(y[0]) else y\n        N2 = len(X[0]) // 2\n        f = [1e6 * sum(x[0:N2]**2) + sum(x[N2:]**2) for x in X]\n        return f if len(f) > 1 else f[0]\n    def ellirot(self, x):\n        return fcts.elli(array(x), 1)\n    def hyperelli(self, x):\n        N = len(x)\n        return sum((np.arange(1, N+1) * x)**2)\n    def elli(self, x, rot=0, xoffset=0, cond=1e6, actuator_noise=0.0, both=False):\n        \"\"\"Ellipsoid test objective function\"\"\"\n        if not np.isscalar(x[0]):  # parallel evaluation\n            return [self.elli(xi, rot) for xi in x]  # could save 20% overall\n        if rot:\n            x = rotate(x)\n        N = len(x)\n        if actuator_noise:\n            x = x + actuator_noise * np.random.randn(N)\n\n        ftrue = sum(cond**(np.arange(N)/(N-1.))*(x+xoffset)**2)\n\n        alpha = 0.49 + 1./N\n        beta = 1\n        felli = np.random.rand(1)[0]**beta * ftrue * \\\n                max(1, (10.**9 / (ftrue+1e-99))**(alpha*np.random.rand(1)[0]))\n        # felli = ftrue + 1*np.random.randn(1)[0] / (1e-30 +\n        #                                           np.abs(np.random.randn(1)[0]))**0\n        if both:\n            return (felli, ftrue)\n        else:\n            # return felli  # possibly noisy value\n            return ftrue # + np.random.randn()\n    def elliconstraint(self, x, cfac = 1e8, tough=True, cond=1e6):\n        \"\"\"ellipsoid test objective function with \"constraints\" \"\"\"\n        N = len(x)\n        f = sum(cond**(np.arange(N)[-1::-1]/(N-1)) * x**2)\n        cvals = (x[0] + 1,\n                 x[0] + 1 + 100*x[1],\n                 x[0] + 1 - 100*x[1])\n        if tough:\n            f += cfac * sum(max(0,c) for c in cvals)\n        else:\n            f += cfac * sum(max(0,c+1e-3)**2 for c in cvals)\n        return f\n    def rosen(self, x, alpha=1e2):\n        \"\"\"Rosenbrock test objective function\"\"\"\n        x = [x] if np.isscalar(x[0]) else x  # scalar into list\n        f = [sum(alpha*(x[:-1]**2-x[1:])**2 + (1.-x[:-1])**2) for x in x]\n        return f if len(f) > 1 else f[0]  # 1-element-list into scalar\n    def diffpow(self, x, rot=0):\n        \"\"\"Diffpow test objective function\"\"\"\n        N = len(x)\n        if rot:\n            x = rotate(x)\n        return sum(np.abs(x)**(2.+4.*np.arange(N)/(N-1.)))**0.5\n    def rosenelli(self, x):\n        N = len(x)\n        return self.rosen(x[:N/2]) + self.elli(x[N/2:], cond=1)\n    def ridge(self, x, expo=2):\n        x = [x] if np.isscalar(x[0]) else x  # scalar into list\n        f = [x[0] + 100*np.sum(x[1:]**2)**(expo/2.) for x in x]\n        return f if len(f) > 1 else f[0]  # 1-element-list into scalar\n    def ridgecircle(self, x, expo=0.5):\n        \"\"\"happy cat by HG Beyer\"\"\"\n        a = len(x)\n        s = sum(x**2)\n        return ((s - a)**2)**(expo/2) + s/a + sum(x)/a\n    def happycat(self, x, alpha=1./8):\n        s = sum(x**2)\n        return ((s - len(x))**2)**alpha + (s/2 + sum(x)) / len(x) + 0.5\n    def flat(self,x):\n        return 1\n        return 1 if np.random.rand(1) < 0.9 else 1.1\n        return np.random.randint(1,30)\n    def branin(self, x):\n        # in [0,15]**2\n        y = x[1]\n        x = x[0] + 5\n        return (y - 5.1*x**2 / 4 / np.pi**2 + 5 * x / np.pi - 6)**2 + 10 * (1 - 1/8/np.pi) * np.cos(x) + 10 - 0.397887357729738160000\n    def goldsteinprice(self, x):\n        x1 = x[0]\n        x2 = x[1]\n        return (1 + (x1 +x2 + 1)**2 * (19 - 14 * x1 + 3 * x1**2 - 14 * x2 + 6 * x1 * x2 + 3 * x2**2)) * (\n                30 + (2 * x1 - 3 * x2)**2 * (18 - 32 * x1 + 12 * x1**2 + 48 * x2 - 36 * x1 * x2 + 27 * x2**2)) - 3\n    def griewank(self, x):\n        # was in [-600 600]\n        x = (600./5) * x\n        return 1 - np.prod(np.cos(x/sqrt(1.+np.arange(len(x))))) + sum(x**2)/4e3\n    def rastrigin(self, x):\n        \"\"\"Rastrigin test objective function\"\"\"\n        if not np.isscalar(x[0]):\n            N = len(x[0])\n            return [10*N + sum(xi**2 - 10*np.cos(2*np.pi*xi)) for xi in x]\n            # return 10*N + sum(x**2 - 10*np.cos(2*np.pi*x), axis=1)\n        N = len(x)\n        return 10*N + sum(x**2 - 10*np.cos(2*np.pi*x))\n    def schaffer(self, x):\n        \"\"\" Schaffer function x0 in [-100..100]\"\"\"\n        N = len(x);\n        s = x[0:N-1]**2 + x[1:N]**2;\n        return sum(s**0.25 * (np.sin(50*s**0.1)**2 + 1))\n\n    def schwefelelli(self, x):\n        s = 0\n        f = 0\n        for i in range(len(x)):\n            s += x[i]\n            f += s**2\n        return f\n    def schwefelmult(self, x, pen_fac = 1e4):\n        \"\"\"multimodal Schwefel function with domain -500..500\"\"\"\n        y = [x] if np.isscalar(x[0]) else x\n        N = len(y[0])\n        f = array([418.9829*N - 1.27275661e-5*N - sum(x * np.sin(np.abs(x)**0.5))\n                + pen_fac * sum((abs(x) > 500) * (abs(x) - 500)**2) for x in y])\n        return f if len(f) > 1 else f[0]\n    def optprob(self, x):\n        n = np.arange(len(x)) + 1\n        f = n * x * (1-x)**(n-1)\n        return sum(1-f)\n    def lincon(self, x, theta=0.01):\n        \"\"\"ridge like linear function with one linear constraint\"\"\"\n        if x[0] < 0:\n            return np.NaN\n        return theta * x[1] + x[0]\n    def rosen_nesterov(self, x, rho=100):\n        \"\"\"needs exponential number of steps in a non-increasing f-sequence.\n\n        x_0 = (-1,1,...,1)\n        See Jarre (2011) \"On Nesterov's Smooth Chebyshev-Rosenbrock Function\"\n\n        \"\"\"\n        f = 0.25 * (x[0] - 1)**2\n        f += rho * sum((x[1:] - 2 * x[:-1]**2 + 1)**2)\n        return f\n\nfcts = FitnessFunctions()\nFcts = fcts  # for cross compatibility, as if the functions were static members of class Fcts\ndef felli(x): # unbound function, needed to test multiprocessor\n    return sum(1e6**(np.arange(len(x))/(len(x)-1))*(x)**2)\n\n\n#____________________________________________\n#____________________________________________________________\ndef _test(module=None):  # None is fine when called from inside the module\n    import doctest\n    print(doctest.testmod(module))  # this is pretty coool!\ndef process_test(stream=None):\n    \"\"\" \"\"\"\n    import fileinput\n    s1 = \"\"\n    s2 = \"\"\n    s3 = \"\"\n    state = 0\n    for line in fileinput.input(stream):  # takes argv as file or stdin\n        if 1 < 3:\n            s3 += line\n            if state < -1 and line.startswith('***'):\n                print(s3)\n            if line.startswith('***'):\n                s3 = \"\"\n\n        if state == -1:  # found a failed example line\n            s1 += '\\n\\n*** Failed Example:' + line\n            s2 += '\\n\\n\\n'   # line\n            # state = 0  # wait for 'Expected:' line\n\n        if line.startswith('Expected:'):\n            state = 1\n            continue\n        elif line.startswith('Got:'):\n            state = 2\n            continue\n        elif line.startswith('***'):  # marks end of failed example\n            state = 0\n        elif line.startswith('Failed example:'):\n            state = -1\n        elif line.startswith('Exception raised'):\n            state = -2\n\n        # in effect more else:\n        if state == 1:\n            s1 += line + ''\n        if state == 2:\n            s2 += line + ''\n\n#____________________________________________________________\n#____________________________________________________________\n#\ndef main(argv=None):\n    \"\"\"to install and/or test from the command line use::\n\n        python cma.py [options | func dim sig0 [optkey optval][optkey optval]...]\n\n    --test (or -t) to run the doctest, ``--test -v`` to get (much) verbosity\n    and ``--test -q`` to run it quietly with output only in case of errors.\n\n    install to install cma.py (uses setup from distutils.core).\n\n    --fcts and --doc for more infos or start ipython --pylab.\n\n    Examples\n    --------\n    First, testing with the local python distribution::\n\n        python cma.py --test\n\n    If succeeded install (uses setup from distutils.core)::\n\n        python cma.py install\n\n    A single run on the ellipsoid function::\n\n        python cma.py elli 10 1\n\n    \"\"\"\n    if argv is None:\n        argv = sys.argv  # should have better been sys.argv[1:]\n\n    # uncomment for unit test\n    # _test()\n    # handle input arguments, getopt might be helpful ;-)\n    if len(argv) >= 1:  # function and help\n        if len(argv) == 1 or argv[1].startswith('-h') or argv[1].startswith('--help'):\n            print(main.__doc__)\n            fun = None\n        elif argv[1].startswith('-t') or argv[1].startswith('--test'):\n            import doctest\n            if len(argv) > 2 and (argv[2].startswith('--v') or argv[2].startswith('-v')):  # verbose\n                print('doctest for cma.py: due to different platforms and python versions')\n                print('and in some cases due to a missing unique random seed')\n                print('many examples will \"fail\". This is OK, if they give a similar')\n                print('to the expected result and if no exception occurs. ')\n                # if argv[1][2] == 'v':\n                doctest.testmod(report=True)  # this is quite cool!\n            else:  # was: if len(argv) > 2 and (argv[2].startswith('--qu') or argv[2].startswith('-q')):\n                print('doctest for cma.py: launching (it might be necessary to close a few pop up windows to finish)')\n                fn = '__cma_doctest__.txt'\n                stdout = sys.stdout\n                try:\n                    with open(fn, 'w') as f:\n                        sys.stdout = f\n                        doctest.testmod(report=True)  # this is quite cool!\n                finally:\n                    sys.stdout = stdout\n                process_test(fn)\n                print('doctest for cma.py: finished (no other output should be seen after launching)')\n            return\n        elif argv[1] == '--doc':\n            print(__doc__)\n            print(CMAEvolutionStrategy.__doc__)\n            print(fmin.__doc__)\n            fun = None\n        elif argv[1] == '--fcts':\n            print('List of valid function names:')\n            print([d for d in dir(fcts) if not d.startswith('_')])\n            fun = None\n        elif argv[1] in ('install', '--install'):\n            from distutils.core import setup\n            setup(name = \"cma\",\n                  version = __version__,\n                  author = \"Nikolaus Hansen\",\n                  #    packages = [\"cma\"],\n                  py_modules = [\"cma\"],\n                  )\n            fun = None\n        elif argv[1] in ('plot',):\n            plot()\n            raw_input('press return')\n            fun = None\n        elif len(argv) > 3:\n            fun = eval('fcts.' + argv[1])\n        else:\n            print('try -h option')\n            fun = None\n\n    if fun is not None:\n\n        if len(argv) > 2:  # dimension\n            x0 = np.ones(eval(argv[2]))\n        if len(argv) > 3:  # sigma\n            sig0 = eval(argv[3])\n\n        opts = {}\n        for i in range(5, len(argv), 2):\n            opts[argv[i-1]] = eval(argv[i])\n\n        # run fmin\n        if fun is not None:\n            tic = time.time()\n            fmin(fun, x0, sig0, **opts)  # ftarget=1e-9, tolfacupx=1e9, verb_log=10)\n            # plot()\n            # print ' best function value ', res[2]['es'].best[1]\n            print('elapsed time [s]: + %.2f', round(time.time() - tic, 2))\n\n    elif not len(argv):\n        fmin(fcts.elli, np.ones(6)*0.1, 0.1, ftarget=1e-9)\n\n\n#____________________________________________________________\n#____________________________________________________________\n#\n# mainly for testing purpose\n# executed when called from an OS shell\nif __name__ == \"__main__\":\n    # for i in range(1000):  # how to find the memory leak\n    #     main([\"cma.py\", \"rastrigin\", \"10\", \"5\", \"popsize\", \"200\", \"maxfevals\", \"24999\", \"verb_log\", \"0\"])\n    main()\n\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/gp.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n# \n# This code is written for research and educational purposes only to \n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n# \n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n# \n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n\"\"\"\ngp.py contains utility functions related to computation in Gaussian processes.\n\"\"\"\nimport numpy as np\nimport scipy.linalg as spla\nimport scipy.optimize as spo\nimport scipy.io as sio\n\nSQRT_3 = np.sqrt(3.0)\nSQRT_5 = np.sqrt(5.0)\n\ndef dist2(ls, x1, x2=None):\n    # Assumes NxD and MxD matrices.\n    # Compute the squared distance matrix, given length scales.\n    \n    if x2 is None:\n        # Find distance with self for x1.\n\n        # Rescale.\n        xx1 = x1 / ls        \n        xx2 = xx1\n\n    else:\n        # Rescale.\n        xx1 = x1 / ls\n        xx2 = x2 / ls\n    \n    r2 = np.maximum(-(np.dot(xx1, 2*xx2.T) \n                       - np.sum(xx1*xx1, axis=1)[:,np.newaxis]\n                       - np.sum(xx2*xx2, axis=1)[:,np.newaxis].T), 0.0)\n\n    return r2\n\ndef grad_dist2(ls, x1, x2=None):\n    if x2 is None:\n        x2 = x1\n        \n    # Rescale.\n    x1 = x1 / ls\n    x2 = x2 / ls\n    \n    N = x1.shape[0]\n    M = x2.shape[0]\n    D = x1.shape[1]\n    gX = np.zeros((x1.shape[0],x2.shape[0],x1.shape[1]))\n\n    code = \\\n    \"\"\"\n    for (int i=0; i<N; i++)\n      for (int j=0; j<M; j++)\n        for (int d=0; d<D; d++)\n          gX(i,j,d) = (2/ls(d))*(x1(i,d) - x2(j,d));\n    \"\"\"\n    try:\n        scipy.weave.inline(code, ['x1','x2','gX','ls','M','N','D'], \\\n                       type_converters=scipy.weave.converters.blitz, \\\n                       compiler='gcc')\n    except:\n        # The C code weave above is 10x faster than this:\n        for i in range(0,x1.shape[0]):\n            gX[i,:,:] = 2*(x1[i,:] - x2[:,:])*(1/ls)\n\n    return gX\n\ndef SE(ls, x1, x2=None, grad=False):\n    ls = np.ones(ls.shape)\n    cov = np.exp(-0.5 * dist2(ls, x1, x2))\n    if grad:\n        return (cov, grad_ARDSE(ls, x1, x2))\n    else:\n        return cov\n\ndef ARDSE(ls, x1, x2=None, grad=False):\n    cov = np.exp(-0.5 * dist2(ls, x1, x2))\n    if grad:\n        return (cov, grad_ARDSE(ls, x1, x2))\n    else:\n        return cov\n\ndef grad_ARDSE(ls, x1, x2=None):\n    r2 = dist2(ls, x1, x2)\n    r  = np.sqrt(r2)\n    return -0.5*np.exp(-0.5*r2)[:,:,np.newaxis] * grad_dist2(ls, x1, x2)\n\ndef Matern32(ls, x1, x2=None, grad=False):\n    r   = np.sqrt(dist2(ls, x1, x2))\n    cov = (1 + SQRT_3*r) * np.exp(-SQRT_3*r)\n    if grad:\n        return (cov, grad_Matern32(ls, x1, x2))\n    else:\n        return cov\n\ndef grad_Matern32(ls, x1, x2=None):\n    r       = np.sqrt(dist2(ls, x1, x2))\n    grad_r2 = -1.5*np.exp(-SQRT_3*r)\n    return grad_r2[:,:,np.newaxis] * grad_dist2(ls, x1, x2)\n\ndef Matern52(ls, x1, x2=None, grad=False):\n    r2  = np.abs(dist2(ls, x1, x2))\n    r   = np.sqrt(r2)\n    cov = (1.0 + SQRT_5*r + (5.0/3.0)*r2) * np.exp(-SQRT_5*r)\n    if grad:\n        return (cov, grad_Matern52(ls, x1, x2))\n    else:\n        return cov\n\ndef grad_Matern52(ls, x1, x2=None):\n    r       = np.sqrt(dist2(ls, x1, x2))\n    grad_r2 = -(5.0/6.0)*np.exp(-SQRT_5*r)*(1 + SQRT_5*r)\n    return grad_r2[:,:,np.newaxis] * grad_dist2(ls, x1, x2)\n\nclass GP:\n    def __init__(self, covar=\"Matern52\", mcmc_iters=10, noiseless=False):\n        self.cov_func        = globals()[covar]\n        self.mcmc_iters      = int(mcmc_iters)\n        self.D               = -1\n        self.hyper_iters     = 1\n        self.noiseless       = bool(int(noiseless))\n        self.hyper_samples = []\n        \n        self.noise_scale = 0.1  # horseshoe prior \n        self.amp2_scale  = 1    # zero-mean log normal prior\n        self.max_ls      = 2    # top-hat prior on length scales \n\n    def real_init(self, dims, values):\n        # Input dimensionality. \n        self.D = dims\n\n        # Initial length scales.               \n        self.ls = np.ones(self.D)\n\n        # Initial amplitude.        \n        self.amp2 = np.std(values)\n\n        # Initial observation noise.                                          \n        self.noise = 1e-3\n\n        # Initial mean.\n        self.mean = np.mean(values)\n\n    def cov(self, x1, x2=None):\n        if x2 is None:\n            return self.amp2 * (self.cov_func(self.ls, x1, None)\n                                + 1e-6*np.eye(x1.shape[0]))\n        else:\n            return self.amp2 * self.cov_func(self.ls, x1, x2)\n\n    def logprob(self, comp, vals):\n            mean  = self.mean\n            amp2  = self.amp2\n            noise = self.noise\n            \n            cov   = amp2 * (self.cov_func(self.ls, comp, None) + 1e-6*np.eye(comp.shape[0])) + noise*np.eye(comp.shape[0])\n            chol  = spla.cholesky(cov, lower=True)\n            solve = spla.cho_solve((chol, True), vals - mean)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(vals-mean, solve)\n            return lp\n\n    def optimize_hypers(self, comp, vals):\n        self.mean = np.mean(vals)\n        diffs     = vals - self.mean\n\n        state = { }\n\n        def jitter_chol(covmat):\n            passed = False\n            jitter = 1e-8\n            val = 0\n            while not passed:\n                if (jitter > 100000):\n                    val = spla.cholesky(np.eye(covmat.shape[0]))\n                    break\n                try:\n                    val = spla.cholesky(covmat +\n                        jitter*np.eye(covmat.shape[0]), lower=True)\n                    passed = True\n                except ValueError:\n                    jitter = jitter*1.1\n                    print(\"Covariance matrix not PSD, adding jitter:\", jitter)\n                    passed = False\n            return val\n        \n        def memoize(amp2, noise, ls):\n            if ( 'corr' not in state\n                 or state['amp2'] != amp2\n                 or state['noise'] != noise\n                 or np.any(state['ls'] != ls)):\n\n                # Get the correlation matrix\n                (corr, grad_corr) = self.cov_func(ls, comp, None, grad=True)\n        \n                # Scale and add noise & jitter.\n                covmat = (amp2 * (corr + 1e-6*np.eye(comp.shape[0])) \n                          + noise * np.eye(comp.shape[0]))\n\n                # Memoize\n                state['corr']      = corr\n                state['grad_corr'] = grad_corr\n                state['chol']      = jitter_chol(covmat)\n                state['amp2']      = amp2\n                state['noise']     = noise\n                state['ls']        = ls\n                \n            return (state['chol'], state['corr'], state['grad_corr'])\n\n        def nlogprob(hypers):\n            amp2  = np.exp(hypers[0])\n            noise = np.exp(hypers[1])\n            ls    = np.exp(hypers[2:])\n\n            chol  = memoize(amp2, noise, ls)[0]\n            solve = spla.cho_solve((chol, True), diffs)\n            lp    = -np.sum(np.log(np.diag(chol)))-0.5*np.dot(diffs, solve)\n            return -lp\n\n        def grad_nlogprob(hypers):\n            amp2  = np.exp(hypers[0])\n            noise = np.exp(hypers[1])\n            ls    = np.exp(hypers[2:])\n\n            chol, corr, grad_corr = memoize(amp2, noise, ls)\n            solve   = spla.cho_solve((chol, True), diffs)\n            inv_cov = spla.cho_solve((chol, True), np.eye(chol.shape[0]))\n\n            jacobian = np.outer(solve, solve) - inv_cov\n\n            grad = np.zeros(self.D + 2)\n\n            # Log amplitude gradient.\n            grad[0] = 0.5 * np.trace(np.dot( jacobian, corr + 1e-6*np.eye(chol.shape[0]))) * amp2\n\n            # Log noise gradient.\n            grad[1] = 0.5 * np.trace(np.dot( jacobian, np.eye(chol.shape[0]))) * noise\n\n            # Log length scale gradients.\n            for dd in range(self.D):\n                grad[dd+2] = 1 * np.trace(np.dot( jacobian, -amp2*grad_corr[:,:,dd]*comp[:,dd][:,np.newaxis]/(np.exp(ls[dd]))))*np.exp(ls[dd])\n\n            # Roll in the prior variance.\n            #grad -= 2*hypers/self.hyper_prior\n\n            return -grad\n        \n        # Initial length scales.\n        self.ls = np.ones(self.D)\n        # Initial amplitude.\n        self.amp2 = np.std(vals)\n        # Initial observation noise.\n        self.noise = 1e-3\n        \n        hypers     = np.zeros(self.ls.shape[0]+2)\n        hypers[0]  = np.log(self.amp2)\n        hypers[1]  = np.log(self.noise)\n        hypers[2:] = np.log(self.ls)\n        \n        # Use a bounded bfgs just to prevent the length-scales and noise from \n        # getting into regions that are numerically unstable\n        b = [(-10,10),(-10,10)]\n        for i in range(comp.shape[1]):\n            b.append((-10,5))\n  \n        hypers = spo.fmin_l_bfgs_b(nlogprob, hypers, grad_nlogprob, args=(), bounds=b, disp=0)\n                \n        #hypers = spo.fmin_bfgs(nlogprob, hypers, grad_nlogprob, maxiter=100)\n        hypers = hypers[0]\n        #hypers = spo.fmin_bfgs(nlogprob, hypers, grad_nlogprob, maxiter=100)\n\n        self.amp2  = np.exp(hypers[0])\n        self.noise = np.exp(hypers[1])\n        self.ls    = np.exp(hypers[2:])\n\ndef main():\n    try:\n        import matplotlib.pyplot as plt\n    except:\n        pass\n\n    # Let's start with some random values\n    x = np.linspace(0,1,10)[:,np.newaxis]*10#np.random.rand(100)[:,np.newaxis]\n    y = np.random.randn(10)\n    mygp = GP(covar='ARDSE')\n    mygp.real_init(x.shape[1], y)\n\n    # Sample some functions given these hyperparameters and plot them\n    for i in range(0,5):\n        x = np.linspace(0,1,100)[:,np.newaxis]*10\n        K = mygp.cov(x)\n        y = np.random.randn(100)\n    \n        fsamp = mygp.mean + np.dot(spla.cholesky(K).transpose(), y)\n        try:\n            plt.plot(x, fsamp)\n        except:\n            pass\n\n    print('Loglikelihood before optimizing: ', mygp.logprob(x,y))\n    mygp.optimize_hypers(x,y)\n    print('Loglikelihood after optimizing: ', mygp.logprob(x,y))\n        \n    try:\n        plt.show()\n    except:\n        print('Install matplotlib to get figures')\n\nif __name__ == '__main__':\n    main()\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/helpers.py",
    "content": "import os\nimport sys\nimport subprocess\nimport tempfile\n\nfrom google.protobuf import text_format\nfrom .spearmint_pb2   import *\n\n\ndef log(*args):\n    '''Write a msg to stderr.'''\n    for v in args:\n        sys.stderr.write(str(v))\n    sys.stderr.write(\"\\n\")\n\n\ndef sh(cmd):\n    '''Run a shell command (blocking until completion).'''\n    subprocess.check_call(cmd, shell=True)\n\n\ndef redirect_output(path):\n    '''Redirect stdout and stderr to a file.'''\n    outfile    = open(path, 'a')\n    sys.stdout = outfile\n    sys.stderr = outfile\n\n\ndef check_dir(path):\n    '''Create a directory if it doesn't exist.'''\n    if not os.path.exists(path):\n        os.mkdir(path)\n\n\ndef grid_for(job):\n    return os.path.join(job.expt_dir, 'expt-grid.pkl')\n\n\n\ndef file_write_safe(path, data):\n    '''Write data to a temporary file, then move to the destination path.'''\n    fh = tempfile.NamedTemporaryFile(mode='w', delete=False)\n    fh.write(data)\n    fh.close()\n    cmd = 'mv \"%s\" \"%s\"' % (fh.name, path)\n    sh(cmd)\n\n\ndef save_experiment(filename, expt):\n    file_write_safe(filename, text_format.MessageToString(expt))\n\n\ndef load_experiment(filename):\n    fh = open(filename, 'rb')\n    expt = Experiment()\n    text_format.Merge(fh.read(), expt)\n    fh.close()\n    return expt\n\n\ndef job_output_file(job):\n    return os.path.join(job.expt_dir, 'output', '%08d.out' % (job.id))\n\n\ndef job_file_for(job):\n    '''Get the path to the job file corresponding to a job object.'''\n    return os.path.join(job.expt_dir, 'jobs', '%08d.pb' % (job.id))\n\n\ndef save_job(job):\n    filename = job_file_for(job)\n    file_write_safe(filename, job.SerializeToString())\n\n\ndef load_job(filename):\n    fh = open(filename, 'rb')\n    job = Job()\n    job.ParseFromString(fh.read())\n    fh.close()\n    return job\n\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/runner.py",
    "content": "import sys\nimport os\nimport traceback\n\nfrom spearmint_pb2   import *\nfrom ExperimentGrid  import *\nfrom helpers         import *\n\n\n# System dependent modules\nDEFAULT_MODULES = [ 'packages/epd/7.1-2',\n                    'packages/matlab/r2011b',\n                    'mpi/openmpi/1.2.8/intel',\n                    'libraries/mkl/10.0',\n                    'packages/cuda/4.0',\n                    ]\n\nMCR_LOCATION = \"/home/matlab/v715\" # hack\n\n\ndef job_runner(job):\n    '''This fn runs in a new process.  Now we are going to do a little\n    bookkeeping and then spin off the actual job that does whatever it is we're\n    trying to achieve.'''\n\n    redirect_output(job_output_file(job))\n    log(\"Running in wrapper mode for '%s'\\n\" % (job.id))\n\n    ExperimentGrid.job_running(job.expt_dir, job.id)\n\n    # Update metadata and save the job file, which will be read by the job wrappers.\n    job.start_t = int(time.time())\n    job.status  = 'running'\n    save_job(job)\n\n    success    = False\n    start_time = time.time()\n\n    try:\n        if job.language == MATLAB:   run_matlab_job(job)\n        elif job.language == PYTHON: run_python_job(job)\n        elif job.language == SHELL:  run_torch_job(job)\n        elif job.language == MCR:    run_mcr_job(job)\n        else:\n            raise Exception(\"That function type has not been implemented.\")\n\n        success = True\n    except:\n        log(\"-\" * 40)\n        log(\"Problem running the job:\")\n        log(sys.exc_info())\n        log(traceback.print_exc(limit=1000))\n        log(\"-\" * 40)\n\n    end_time = time.time()\n    duration = end_time - start_time\n\n    # The job output is written back to the job file, so we read it back in to\n    # get the results.\n    job_file = job_file_for(job)\n    job      = load_job(job_file)\n\n    log(\"Job file reloaded.\")\n\n    if not job.HasField(\"value\"):\n        log(\"Could not find value in output file.\")\n        success = False\n\n    if success:\n        log(\"Completed successfully in %0.2f seconds. [%f]\"\n                         % (duration, job.value))\n\n        # Update the status for this job.\n        ExperimentGrid.job_complete(job.expt_dir, job.id,\n                                    job.value, duration)\n        job.status = 'complete'\n    else:\n        log(\"Job failed in %0.2f seconds.\" % (duration))\n\n        # Update the experiment status for this job.\n        ExperimentGrid.job_broken(job.expt_dir, job.id)\n        job.status = 'broken'\n\n    job.end_t    = int(time.time())\n    job.duration = duration\n\n    save_job(job)\n\n\ndef run_matlab_job(job):\n    '''Run it as a Matlab function.'''\n\n    log(\"Running matlab job.\")\n\n    job_file      = job_file_for(job)\n    function_call = \"matlab_wrapper('%s'),quit;\" % (job_file)\n    matlab_cmd    = ('matlab -nosplash -nodesktop -r \"%s\"' %\n                     (function_call))\n    log(matlab_cmd)\n    sh(matlab_cmd)\n\n\n# TODO: change this function to be more flexible when running python jobs\n# regarding the python path, experiment directory, etc...\ndef run_python_job(job):\n    '''Run a Python function.'''\n\n    log(\"Running python job.\\n\")\n\n    # Add experiment directory to the system path.\n    sys.path.append(os.path.realpath(job.expt_dir))\n\n    # Convert the PB object into useful parameters.\n    params = {}\n    for param in job.param:\n        dbl_vals = param.dbl_val._values\n        int_vals = param.int_val._values\n        str_vals = param.str_val._values\n\n        if len(dbl_vals) > 0:\n            params[param.name] = np.array(dbl_vals)\n        elif len(int_vals) > 0:\n            params[param.name] = np.array(int_vals, dtype=int)\n        elif len(str_vals) > 0:\n            params[param.name] = str_vals\n        else:\n            raise Exception(\"Unknown parameter type.\")\n\n    # Load up this module and run\n    module  = __import__(job.name)\n    result = module.main(job.id, params)\n\n    log(\"Got result %f\\n\" % (result))\n\n    # Store the result.\n    job.value = result\n    save_job(job)\n\n\ndef run_torch_job(job):\n    '''Run a torch based job.'''\n\n    params = {}\n    for param in job.param:\n        dbl_vals = param.dbl_val._values\n        int_vals = param.int_val._values\n        str_vals = param.str_val._values\n\n        if len(dbl_vals) > 0:\n            params[param.name] = dbl_vals\n        elif len(int_vals) > 0:\n            params[param.name] = int_vals\n        elif len(str_vals) > 0:\n            params[param.name] = str_vals\n        else:\n            raise Exception(\"Unknown parameter type.\")\n\n    #TODO: this passes args correctly for experiment utils, but we need to\n    # figure out how to get the result back out when the experiment completes.\n\n    param_str = \"\"\n    for pname, pval in params.iteritems():\n        if len(pval) == 1:\n            pval = str(pval[0])\n        else:\n            pval = ','.join([str(v) for v in pval])\n\n        param_str += \"-\" + pname + \" \" + pval + \" \"\n\n    cmd = \"./%s %s\" % (job.name, param_str)\n    log(\"Executing command: %s\\n\" % (cmd))\n    sh(cmd)\n\n\ndef run_shell_job(job):\n    '''Run a shell based job.'''\n\n    log(\"Running shell job.\\n\")\n\n    # Change into the directory.\n    os.chdir(job.expt_dir)\n\n    cmd      = './%s %s' % (job.name, job_file_for(job))\n    log(\"Executing command '%s'\\n\" % (cmd))\n\n    sh(cmd)\n\n\ndef run_mcr_job(job):\n    '''Run a compiled Matlab job.'''\n\n    log(\"Running a compiled Matlab job.\\n\")\n\n    # Change into the directory.\n    os.chdir(job.expt_dir)\n\n    if os.environ.has_key('MATLAB'):\n        mcr_loc = os.environ['MATLAB']\n    else:\n        mcr_loc = MCR_LOCATION\n\n    cmd = './run_%s.sh %s %s' % (job.name, mcr_loc, job_file_for(job))\n    log(\"Executing command '%s'\\n\" % (cmd))\n    sh(cmd)\n\n\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/sobol_lib.py",
    "content": "from __future__ import print_function\nimport math\nfrom numpy import *\ndef i4_bit_hi1 ( n ):\n#*****************************************************************************80\n#\n## I4_BIT_HI1 returns the position of the high 1 bit base 2 in an integer.\n#\n#  Example:\n#\n#       N    Binary     BIT\n#    ----    --------  ----\n#       0           0     0\n#       1           1     1\n#       2          10     2\n#       3          11     2 \n#       4         100     3\n#       5         101     3\n#       6         110     3\n#       7         111     3\n#       8        1000     4\n#       9        1001     4\n#      10        1010     4\n#      11        1011     4\n#      12        1100     4\n#      13        1101     4\n#      14        1110     4\n#      15        1111     4\n#      16       10000     5\n#      17       10001     5\n#    1023  1111111111    10\n#    1024 10000000000    11\n#    1025 10000000001    11\n#\n#  \tLicensing:\n#\n#    \t\tThis code is distributed under the GNU LGPL license.\n#\n#  \tModified:\n#\n#    \t\t26 Nov 2011\n#\n#\tAuthor:\n#\n#\t\tOriginal MATLAB version by John Burkardt.\n#\t\tPYTHON version by Corrado Chisari\n#               Modified by Jasper Snoek to scale to 1111 dimensions\n#\n#  \tParameters:\n#\n#    \t\tInput, integer N, the integer to be measured.\n#    \t\tN should be nonnegative.  If N is nonpositive, the value will always be 0.\n#\n#    \t\tOutput, integer BIT, the number of bits base 2.\n#\n\ti = math.floor ( n )\n\tbit = 0\n\twhile ( 1 ):\n\t\tif ( i <= 0 ):\n\t\t\tbreak\n\t\tbit += 1\n\t\ti = math.floor ( i / 2. )\n\treturn bit\ndef i4_bit_lo0 ( n ):\n#*****************************************************************************80\n#\n## I4_BIT_LO0 returns the position of the low 0 bit base 2 in an integer.\n#\n#  Example:\n#\n#       N    Binary     BIT\n#    ----    --------  ----\n#       0           0     1\n#       1           1     2\n#       2          10     1\n#       3          11     3 \n#       4         100     1\n#       5         101     2\n#       6         110     1\n#       7         111     4\n#       8        1000     1\n#       9        1001     2\n#      10        1010     1\n#      11        1011     3\n#      12        1100     1\n#      13        1101     2\n#      14        1110     1\n#      15        1111     5\n#      16       10000     1\n#      17       10001     2\n#    1023  1111111111     1\n#    1024 10000000000     1\n#    1025 10000000001     1\n#\n#  \tLicensing:\n#\n#    This code is distributed under the GNU LGPL license.\n#\n#  \tModified:\n#\n#    \t\t22 February 2011\n#\n#\tAuthor:\n#\n#\t\tOriginal MATLAB version by John Burkardt.\n#\t\tPYTHON version by Corrado Chisari\n#\n#  Parameters:\n#\n#    \t\tInput, integer N, the integer to be measured.\n#    \t\tN should be nonnegative.\n#\n#    \t\tOutput, integer BIT, the position of the low 1 bit.\n#\n\tbit = 0\n\ti = math.floor ( n )\n\twhile ( 1 ):\n\t\tbit = bit + 1\n\t\ti2 = math.floor ( i / 2. )\n\t\tif ( i == 2 * i2 ):\n\t\t\tbreak\n\n\t\ti = i2\n\treturn bit\n\t\ndef i4_sobol_generate ( m, n, skip ):\n#*****************************************************************************80\n#\n## I4_SOBOL_GENERATE generates a Sobol dataset.\n#\n#\tLicensing:\n#\n#\t\tThis code is distributed under the GNU LGPL license.\n#\n#  \tModified:\n#\n#    \t\t22 February 2011\n#\n#\tAuthor:\n#\n#\t\tOriginal MATLAB version by John Burkardt.\n#\t\tPYTHON version by Corrado Chisari\n#\n#\tParameters:\n#\n#\t\tInput, integer M, the spatial dimension.\n#\n#\t\tInput, integer N, the number of points to generate.\n#\n#\t\tInput, integer SKIP, the number of initial points to skip.\n#\n#\t\tOutput, real R(M,N), the points.\n#\n\tr=zeros((m,n))\n\tfor j in range (1, n+1):\n\t\tseed = skip + j - 2\n\t\t[ r[0:m,j-1], seed ] = i4_sobol ( m, seed )\n\treturn r\ndef i4_sobol ( dim_num, seed ):\n#*****************************************************************************80\n#\n## I4_SOBOL generates a new quasirandom Sobol vector with each call.\n#\n#\tDiscussion:\n#\n#\t\tThe routine adapts the ideas of Antonov and Saleev.\n#\n#\tLicensing:\n#\n#\t\tThis code is distributed under the GNU LGPL license.\n#\n#\tModified:\n#\n#    \t\t26 February 2013\n#\n#\tAuthor:\n#\n#\t\tOriginal FORTRAN77 version by Bennett Fox.\n#\t\tMATLAB version by John Burkardt.\n#\t\tPYTHON version by Corrado Chisari\n#               PYTHON version modified by Jasper Snoek to scale (Joe & Kuo)\n#\n#\tReference:\n#\n#\t\tAntonov, Saleev,\n#\t\tUSSR Computational Mathematics and Mathematical Physics,\n#\t\tVolume 19, 1980, pages 252 - 256.\n#\n#\t\tPaul Bratley, Bennett Fox,\n#\t\tAlgorithm 659:\n#\t\tImplementing Sobol's Quasirandom Sequence Generator,\n#\t\tACM Transactions on Mathematical Software,\n#\t\tVolume 14, Number 1, pages 88-100, 1988.\n#\n#\t\tBennett Fox,\n#\t\tAlgorithm 647:\n#\t\tImplementation and Relative Efficiency of Quasirandom \n#\t\tSequence Generators,\n#\t\tACM Transactions on Mathematical Software,\n#\t\tVolume 12, Number 4, pages 362-376, 1986.\n#\n#\t\tIlya Sobol,\n#\t\tUSSR Computational Mathematics and Mathematical Physics,\n#\t\tVolume 16, pages 236-242, 1977.\n#\n#\t\tIlya Sobol, Levitan, \n#\t\tThe Production of Points Uniformly Distributed in a Multidimensional \n#\t\tCube (in Russian),\n#\t\tPreprint IPM Akad. Nauk SSSR, \n#\t\tNumber 40, Moscow 1976.\n#\n#               Stephen Joe, Frances Kuo,\n#               Remark on Algorithm 659: Implementing Sobol's Quasirandom Sequence Generator,\n#               ACM Transactions on Mathematical Software,\n#               Volume 29, Number 1, March 2003, pages 49-57.\n#\n#\tParameters:\n#\n#\t\tInput, integer DIM_NUM, the number of spatial dimensions.\n#\t\tDIM_NUM must satisfy 1 <= DIM_NUM <= 1111.\n#\n#\t\tInput/output, integer SEED, the \"seed\" for the sequence.\n#\t\tThis is essentially the index in the sequence of the quasirandom\n#\t\tvalue to be generated.\tOn output, SEED has been set to the\n#\t\tappropriate next value, usually simply SEED+1.\n#\t\tIf SEED is less than 0 on input, it is treated as though it were 0.\n#\t\tAn input value of 0 requests the first (0-th) element of the sequence.\n#\n#\t\tOutput, real QUASI(DIM_NUM), the next quasirandom vector.\n#\n\tglobal atmost\n\tglobal dim_max\n\tglobal dim_num_save\n\tglobal initialized\n\tglobal lastq\n\tglobal log_max\n\tglobal maxcol\n\tglobal poly\n\tglobal recipd\n\tglobal seed_save\n\tglobal v\n\n\tif ( not 'initialized' in globals().keys() ):\n\t\tinitialized = 0\n\t\tdim_num_save = -1\n\n\tif ( not initialized or dim_num != dim_num_save ):\n\t\tinitialized = 1\n\t\tdim_max = 1111\n\t\tdim_num_save = -1\n\t\tlog_max = 30\n\t\tseed_save = -1\n#\n#\tInitialize (part of) V.\n#\n\t\tv = zeros((dim_max,log_max))\n\t\tv[0,0] = 1\n\t\tv[1,0] = 1\n\t\tv[2,0] = 1\n\t\tv[3,0] = 1\n\t\tv[4,0] = 1\n\t\tv[5,0] = 1\n\t\tv[6,0] = 1\n\t\tv[7,0] = 1\n\t\tv[8,0] = 1\n\t\tv[9,0] = 1\n\t\tv[10,0] = 1\n\t\tv[11,0] = 1\n\t\tv[12,0] = 1\n\t\tv[13,0] = 1\n\t\tv[14,0] = 1\n\t\tv[15,0] = 1\n\t\tv[16,0] = 1\n\t\tv[17,0] = 1\n\t\tv[18,0] = 1\n\t\tv[19,0] = 1\n\t\tv[20,0] = 1\n\t\tv[21,0] = 1\n\t\tv[22,0] = 1\n\t\tv[23,0] = 1\n\t\tv[24,0] = 1\n\t\tv[25,0] = 1\n\t\tv[26,0] = 1\n\t\tv[27,0] = 1\n\t\tv[28,0] = 1\n\t\tv[29,0] = 1\n\t\tv[30,0] = 1\n\t\tv[31,0] = 1\n\t\tv[32,0] = 1\n\t\tv[33,0] = 1\n\t\tv[34,0] = 1\n\t\tv[35,0] = 1\n\t\tv[36,0] = 1\n\t\tv[37,0] = 1\n\t\tv[38,0] = 1\n\t\tv[39,0] = 1\n\t\tv[40,0] = 1\n\t\tv[41,0] = 1\n\t\tv[42,0] = 1\n\t\tv[43,0] = 1\n\t\tv[44,0] = 1\n\t\tv[45,0] = 1\n\t\tv[46,0] = 1\n\t\tv[47,0] = 1\n\t\tv[48,0] = 1\n\t\tv[49,0] = 1\n\t\tv[50,0] = 1\n\t\tv[51,0] = 1\n\t\tv[52,0] = 1\n\t\tv[53,0] = 1\n\t\tv[54,0] = 1\n\t\tv[55,0] = 1\n\t\tv[56,0] = 1\n\t\tv[57,0] = 1\n\t\tv[58,0] = 1\n\t\tv[59,0] = 1\n\t\tv[60,0] = 1\n\t\tv[61,0] = 1\n\t\tv[62,0] = 1\n\t\tv[63,0] = 1\n\t\tv[64,0] = 1\n\t\tv[65,0] = 1\n\t\tv[66,0] = 1\n\t\tv[67,0] = 1\n\t\tv[68,0] = 1\n\t\tv[69,0] = 1\n\t\tv[70,0] = 1\n\t\tv[71,0] = 1\n\t\tv[72,0] = 1\n\t\tv[73,0] = 1\n\t\tv[74,0] = 1\n\t\tv[75,0] = 1\n\t\tv[76,0] = 1\n\t\tv[77,0] = 1\n\t\tv[78,0] = 1\n\t\tv[79,0] = 1\n\t\tv[80,0] = 1\n\t\tv[81,0] = 1\n\t\tv[82,0] = 1\n\t\tv[83,0] = 1\n\t\tv[84,0] = 1\n\t\tv[85,0] = 1\n\t\tv[86,0] = 1\n\t\tv[87,0] = 1\n\t\tv[88,0] = 1\n\t\tv[89,0] = 1\n\t\tv[90,0] = 1\n\t\tv[91,0] = 1\n\t\tv[92,0] = 1\n\t\tv[93,0] = 1\n\t\tv[94,0] = 1\n\t\tv[95,0] = 1\n\t\tv[96,0] = 1\n\t\tv[97,0] = 1\n\t\tv[98,0] = 1\n\t\tv[99,0] = 1\n\t\tv[100,0] = 1\n\t\tv[101,0] = 1\n\t\tv[102,0] = 1\n\t\tv[103,0] = 1\n\t\tv[104,0] = 1\n\t\tv[105,0] = 1\n\t\tv[106,0] = 1\n\t\tv[107,0] = 1\n\t\tv[108,0] = 1\n\t\tv[109,0] = 1\n\t\tv[110,0] = 1\n\t\tv[111,0] = 1\n\t\tv[112,0] = 1\n\t\tv[113,0] = 1\n\t\tv[114,0] = 1\n\t\tv[115,0] = 1\n\t\tv[116,0] = 1\n\t\tv[117,0] = 1\n\t\tv[118,0] = 1\n\t\tv[119,0] = 1\n\t\tv[120,0] = 1\n\t\tv[121,0] = 1\n\t\tv[122,0] = 1\n\t\tv[123,0] = 1\n\t\tv[124,0] = 1\n\t\tv[125,0] = 1\n\t\tv[126,0] = 1\n\t\tv[127,0] = 1\n\t\tv[128,0] = 1\n\t\tv[129,0] = 1\n\t\tv[130,0] = 1\n\t\tv[131,0] = 1\n\t\tv[132,0] = 1\n\t\tv[133,0] = 1\n\t\tv[134,0] = 1\n\t\tv[135,0] = 1\n\t\tv[136,0] = 1\n\t\tv[137,0] = 1\n\t\tv[138,0] = 1\n\t\tv[139,0] = 1\n\t\tv[140,0] = 1\n\t\tv[141,0] = 1\n\t\tv[142,0] = 1\n\t\tv[143,0] = 1\n\t\tv[144,0] = 1\n\t\tv[145,0] = 1\n\t\tv[146,0] = 1\n\t\tv[147,0] = 1\n\t\tv[148,0] = 1\n\t\tv[149,0] = 1\n\t\tv[150,0] = 1\n\t\tv[151,0] = 1\n\t\tv[152,0] = 1\n\t\tv[153,0] = 1\n\t\tv[154,0] = 1\n\t\tv[155,0] = 1\n\t\tv[156,0] = 1\n\t\tv[157,0] = 1\n\t\tv[158,0] = 1\n\t\tv[159,0] = 1\n\t\tv[160,0] = 1\n\t\tv[161,0] = 1\n\t\tv[162,0] = 1\n\t\tv[163,0] = 1\n\t\tv[164,0] = 1\n\t\tv[165,0] = 1\n\t\tv[166,0] = 1\n\t\tv[167,0] = 1\n\t\tv[168,0] = 1\n\t\tv[169,0] = 1\n\t\tv[170,0] = 1\n\t\tv[171,0] = 1\n\t\tv[172,0] = 1\n\t\tv[173,0] = 1\n\t\tv[174,0] = 1\n\t\tv[175,0] = 1\n\t\tv[176,0] = 1\n\t\tv[177,0] = 1\n\t\tv[178,0] = 1\n\t\tv[179,0] = 1\n\t\tv[180,0] = 1\n\t\tv[181,0] = 1\n\t\tv[182,0] = 1\n\t\tv[183,0] = 1\n\t\tv[184,0] = 1\n\t\tv[185,0] = 1\n\t\tv[186,0] = 1\n\t\tv[187,0] = 1\n\t\tv[188,0] = 1\n\t\tv[189,0] = 1\n\t\tv[190,0] = 1\n\t\tv[191,0] = 1\n\t\tv[192,0] = 1\n\t\tv[193,0] = 1\n\t\tv[194,0] = 1\n\t\tv[195,0] = 1\n\t\tv[196,0] = 1\n\t\tv[197,0] = 1\n\t\tv[198,0] = 1\n\t\tv[199,0] = 1\n\t\tv[200,0] = 1\n\t\tv[201,0] = 1\n\t\tv[202,0] = 1\n\t\tv[203,0] = 1\n\t\tv[204,0] = 1\n\t\tv[205,0] = 1\n\t\tv[206,0] = 1\n\t\tv[207,0] = 1\n\t\tv[208,0] = 1\n\t\tv[209,0] = 1\n\t\tv[210,0] = 1\n\t\tv[211,0] = 1\n\t\tv[212,0] = 1\n\t\tv[213,0] = 1\n\t\tv[214,0] = 1\n\t\tv[215,0] = 1\n\t\tv[216,0] = 1\n\t\tv[217,0] = 1\n\t\tv[218,0] = 1\n\t\tv[219,0] = 1\n\t\tv[220,0] = 1\n\t\tv[221,0] = 1\n\t\tv[222,0] = 1\n\t\tv[223,0] = 1\n\t\tv[224,0] = 1\n\t\tv[225,0] = 1\n\t\tv[226,0] = 1\n\t\tv[227,0] = 1\n\t\tv[228,0] = 1\n\t\tv[229,0] = 1\n\t\tv[230,0] = 1\n\t\tv[231,0] = 1\n\t\tv[232,0] = 1\n\t\tv[233,0] = 1\n\t\tv[234,0] = 1\n\t\tv[235,0] = 1\n\t\tv[236,0] = 1\n\t\tv[237,0] = 1\n\t\tv[238,0] = 1\n\t\tv[239,0] = 1\n\t\tv[240,0] = 1\n\t\tv[241,0] = 1\n\t\tv[242,0] = 1\n\t\tv[243,0] = 1\n\t\tv[244,0] = 1\n\t\tv[245,0] = 1\n\t\tv[246,0] = 1\n\t\tv[247,0] = 1\n\t\tv[248,0] = 1\n\t\tv[249,0] = 1\n\t\tv[250,0] = 1\n\t\tv[251,0] = 1\n\t\tv[252,0] = 1\n\t\tv[253,0] = 1\n\t\tv[254,0] = 1\n\t\tv[255,0] = 1\n\t\tv[256,0] = 1\n\t\tv[257,0] = 1\n\t\tv[258,0] = 1\n\t\tv[259,0] = 1\n\t\tv[260,0] = 1\n\t\tv[261,0] = 1\n\t\tv[262,0] = 1\n\t\tv[263,0] = 1\n\t\tv[264,0] = 1\n\t\tv[265,0] = 1\n\t\tv[266,0] = 1\n\t\tv[267,0] = 1\n\t\tv[268,0] = 1\n\t\tv[269,0] = 1\n\t\tv[270,0] = 1\n\t\tv[271,0] = 1\n\t\tv[272,0] = 1\n\t\tv[273,0] = 1\n\t\tv[274,0] = 1\n\t\tv[275,0] = 1\n\t\tv[276,0] = 1\n\t\tv[277,0] = 1\n\t\tv[278,0] = 1\n\t\tv[279,0] = 1\n\t\tv[280,0] = 1\n\t\tv[281,0] = 1\n\t\tv[282,0] = 1\n\t\tv[283,0] = 1\n\t\tv[284,0] = 1\n\t\tv[285,0] = 1\n\t\tv[286,0] = 1\n\t\tv[287,0] = 1\n\t\tv[288,0] = 1\n\t\tv[289,0] = 1\n\t\tv[290,0] = 1\n\t\tv[291,0] = 1\n\t\tv[292,0] = 1\n\t\tv[293,0] = 1\n\t\tv[294,0] = 1\n\t\tv[295,0] = 1\n\t\tv[296,0] = 1\n\t\tv[297,0] = 1\n\t\tv[298,0] = 1\n\t\tv[299,0] = 1\n\t\tv[300,0] = 1\n\t\tv[301,0] = 1\n\t\tv[302,0] = 1\n\t\tv[303,0] = 1\n\t\tv[304,0] = 1\n\t\tv[305,0] = 1\n\t\tv[306,0] = 1\n\t\tv[307,0] = 1\n\t\tv[308,0] = 1\n\t\tv[309,0] = 1\n\t\tv[310,0] = 1\n\t\tv[311,0] = 1\n\t\tv[312,0] = 1\n\t\tv[313,0] = 1\n\t\tv[314,0] = 1\n\t\tv[315,0] = 1\n\t\tv[316,0] = 1\n\t\tv[317,0] = 1\n\t\tv[318,0] = 1\n\t\tv[319,0] = 1\n\t\tv[320,0] = 1\n\t\tv[321,0] = 1\n\t\tv[322,0] = 1\n\t\tv[323,0] = 1\n\t\tv[324,0] = 1\n\t\tv[325,0] = 1\n\t\tv[326,0] = 1\n\t\tv[327,0] = 1\n\t\tv[328,0] = 1\n\t\tv[329,0] = 1\n\t\tv[330,0] = 1\n\t\tv[331,0] = 1\n\t\tv[332,0] = 1\n\t\tv[333,0] = 1\n\t\tv[334,0] = 1\n\t\tv[335,0] = 1\n\t\tv[336,0] = 1\n\t\tv[337,0] = 1\n\t\tv[338,0] = 1\n\t\tv[339,0] = 1\n\t\tv[340,0] = 1\n\t\tv[341,0] = 1\n\t\tv[342,0] = 1\n\t\tv[343,0] = 1\n\t\tv[344,0] = 1\n\t\tv[345,0] = 1\n\t\tv[346,0] = 1\n\t\tv[347,0] = 1\n\t\tv[348,0] = 1\n\t\tv[349,0] = 1\n\t\tv[350,0] = 1\n\t\tv[351,0] = 1\n\t\tv[352,0] = 1\n\t\tv[353,0] = 1\n\t\tv[354,0] = 1\n\t\tv[355,0] = 1\n\t\tv[356,0] = 1\n\t\tv[357,0] = 1\n\t\tv[358,0] = 1\n\t\tv[359,0] = 1\n\t\tv[360,0] = 1\n\t\tv[361,0] = 1\n\t\tv[362,0] = 1\n\t\tv[363,0] = 1\n\t\tv[364,0] = 1\n\t\tv[365,0] = 1\n\t\tv[366,0] = 1\n\t\tv[367,0] = 1\n\t\tv[368,0] = 1\n\t\tv[369,0] = 1\n\t\tv[370,0] = 1\n\t\tv[371,0] = 1\n\t\tv[372,0] = 1\n\t\tv[373,0] = 1\n\t\tv[374,0] = 1\n\t\tv[375,0] = 1\n\t\tv[376,0] = 1\n\t\tv[377,0] = 1\n\t\tv[378,0] = 1\n\t\tv[379,0] = 1\n\t\tv[380,0] = 1\n\t\tv[381,0] = 1\n\t\tv[382,0] = 1\n\t\tv[383,0] = 1\n\t\tv[384,0] = 1\n\t\tv[385,0] = 1\n\t\tv[386,0] = 1\n\t\tv[387,0] = 1\n\t\tv[388,0] = 1\n\t\tv[389,0] = 1\n\t\tv[390,0] = 1\n\t\tv[391,0] = 1\n\t\tv[392,0] = 1\n\t\tv[393,0] = 1\n\t\tv[394,0] = 1\n\t\tv[395,0] = 1\n\t\tv[396,0] = 1\n\t\tv[397,0] = 1\n\t\tv[398,0] = 1\n\t\tv[399,0] = 1\n\t\tv[400,0] = 1\n\t\tv[401,0] = 1\n\t\tv[402,0] = 1\n\t\tv[403,0] = 1\n\t\tv[404,0] = 1\n\t\tv[405,0] = 1\n\t\tv[406,0] = 1\n\t\tv[407,0] = 1\n\t\tv[408,0] = 1\n\t\tv[409,0] = 1\n\t\tv[410,0] = 1\n\t\tv[411,0] = 1\n\t\tv[412,0] = 1\n\t\tv[413,0] = 1\n\t\tv[414,0] = 1\n\t\tv[415,0] = 1\n\t\tv[416,0] = 1\n\t\tv[417,0] = 1\n\t\tv[418,0] = 1\n\t\tv[419,0] = 1\n\t\tv[420,0] = 1\n\t\tv[421,0] = 1\n\t\tv[422,0] = 1\n\t\tv[423,0] = 1\n\t\tv[424,0] = 1\n\t\tv[425,0] = 1\n\t\tv[426,0] = 1\n\t\tv[427,0] = 1\n\t\tv[428,0] = 1\n\t\tv[429,0] = 1\n\t\tv[430,0] = 1\n\t\tv[431,0] = 1\n\t\tv[432,0] = 1\n\t\tv[433,0] = 1\n\t\tv[434,0] = 1\n\t\tv[435,0] = 1\n\t\tv[436,0] = 1\n\t\tv[437,0] = 1\n\t\tv[438,0] = 1\n\t\tv[439,0] = 1\n\t\tv[440,0] = 1\n\t\tv[441,0] = 1\n\t\tv[442,0] = 1\n\t\tv[443,0] = 1\n\t\tv[444,0] = 1\n\t\tv[445,0] = 1\n\t\tv[446,0] = 1\n\t\tv[447,0] = 1\n\t\tv[448,0] = 1\n\t\tv[449,0] = 1\n\t\tv[450,0] = 1\n\t\tv[451,0] = 1\n\t\tv[452,0] = 1\n\t\tv[453,0] = 1\n\t\tv[454,0] = 1\n\t\tv[455,0] = 1\n\t\tv[456,0] = 1\n\t\tv[457,0] = 1\n\t\tv[458,0] = 1\n\t\tv[459,0] = 1\n\t\tv[460,0] = 1\n\t\tv[461,0] = 1\n\t\tv[462,0] = 1\n\t\tv[463,0] = 1\n\t\tv[464,0] = 1\n\t\tv[465,0] = 1\n\t\tv[466,0] = 1\n\t\tv[467,0] = 1\n\t\tv[468,0] = 1\n\t\tv[469,0] = 1\n\t\tv[470,0] = 1\n\t\tv[471,0] = 1\n\t\tv[472,0] = 1\n\t\tv[473,0] = 1\n\t\tv[474,0] = 1\n\t\tv[475,0] = 1\n\t\tv[476,0] = 1\n\t\tv[477,0] = 1\n\t\tv[478,0] = 1\n\t\tv[479,0] = 1\n\t\tv[480,0] = 1\n\t\tv[481,0] = 1\n\t\tv[482,0] = 1\n\t\tv[483,0] = 1\n\t\tv[484,0] = 1\n\t\tv[485,0] = 1\n\t\tv[486,0] = 1\n\t\tv[487,0] = 1\n\t\tv[488,0] = 1\n\t\tv[489,0] = 1\n\t\tv[490,0] = 1\n\t\tv[491,0] = 1\n\t\tv[492,0] = 1\n\t\tv[493,0] = 1\n\t\tv[494,0] = 1\n\t\tv[495,0] = 1\n\t\tv[496,0] = 1\n\t\tv[497,0] = 1\n\t\tv[498,0] = 1\n\t\tv[499,0] = 1\n\t\tv[500,0] = 1\n\t\tv[501,0] = 1\n\t\tv[502,0] = 1\n\t\tv[503,0] = 1\n\t\tv[504,0] = 1\n\t\tv[505,0] = 1\n\t\tv[506,0] = 1\n\t\tv[507,0] = 1\n\t\tv[508,0] = 1\n\t\tv[509,0] = 1\n\t\tv[510,0] = 1\n\t\tv[511,0] = 1\n\t\tv[512,0] = 1\n\t\tv[513,0] = 1\n\t\tv[514,0] = 1\n\t\tv[515,0] = 1\n\t\tv[516,0] = 1\n\t\tv[517,0] = 1\n\t\tv[518,0] = 1\n\t\tv[519,0] = 1\n\t\tv[520,0] = 1\n\t\tv[521,0] = 1\n\t\tv[522,0] = 1\n\t\tv[523,0] = 1\n\t\tv[524,0] = 1\n\t\tv[525,0] = 1\n\t\tv[526,0] = 1\n\t\tv[527,0] = 1\n\t\tv[528,0] = 1\n\t\tv[529,0] = 1\n\t\tv[530,0] = 1\n\t\tv[531,0] = 1\n\t\tv[532,0] = 1\n\t\tv[533,0] = 1\n\t\tv[534,0] = 1\n\t\tv[535,0] = 1\n\t\tv[536,0] = 1\n\t\tv[537,0] = 1\n\t\tv[538,0] = 1\n\t\tv[539,0] = 1\n\t\tv[540,0] = 1\n\t\tv[541,0] = 1\n\t\tv[542,0] = 1\n\t\tv[543,0] = 1\n\t\tv[544,0] = 1\n\t\tv[545,0] = 1\n\t\tv[546,0] = 1\n\t\tv[547,0] = 1\n\t\tv[548,0] = 1\n\t\tv[549,0] = 1\n\t\tv[550,0] = 1\n\t\tv[551,0] = 1\n\t\tv[552,0] = 1\n\t\tv[553,0] = 1\n\t\tv[554,0] = 1\n\t\tv[555,0] = 1\n\t\tv[556,0] = 1\n\t\tv[557,0] = 1\n\t\tv[558,0] = 1\n\t\tv[559,0] = 1\n\t\tv[560,0] = 1\n\t\tv[561,0] = 1\n\t\tv[562,0] = 1\n\t\tv[563,0] = 1\n\t\tv[564,0] = 1\n\t\tv[565,0] = 1\n\t\tv[566,0] = 1\n\t\tv[567,0] = 1\n\t\tv[568,0] = 1\n\t\tv[569,0] = 1\n\t\tv[570,0] = 1\n\t\tv[571,0] = 1\n\t\tv[572,0] = 1\n\t\tv[573,0] = 1\n\t\tv[574,0] = 1\n\t\tv[575,0] = 1\n\t\tv[576,0] = 1\n\t\tv[577,0] = 1\n\t\tv[578,0] = 1\n\t\tv[579,0] = 1\n\t\tv[580,0] = 1\n\t\tv[581,0] = 1\n\t\tv[582,0] = 1\n\t\tv[583,0] = 1\n\t\tv[584,0] = 1\n\t\tv[585,0] = 1\n\t\tv[586,0] = 1\n\t\tv[587,0] = 1\n\t\tv[588,0] = 1\n\t\tv[589,0] = 1\n\t\tv[590,0] = 1\n\t\tv[591,0] = 1\n\t\tv[592,0] = 1\n\t\tv[593,0] = 1\n\t\tv[594,0] = 1\n\t\tv[595,0] = 1\n\t\tv[596,0] = 1\n\t\tv[597,0] = 1\n\t\tv[598,0] = 1\n\t\tv[599,0] = 1\n\t\tv[600,0] = 1\n\t\tv[601,0] = 1\n\t\tv[602,0] = 1\n\t\tv[603,0] = 1\n\t\tv[604,0] = 1\n\t\tv[605,0] = 1\n\t\tv[606,0] = 1\n\t\tv[607,0] = 1\n\t\tv[608,0] = 1\n\t\tv[609,0] = 1\n\t\tv[610,0] = 1\n\t\tv[611,0] = 1\n\t\tv[612,0] = 1\n\t\tv[613,0] = 1\n\t\tv[614,0] = 1\n\t\tv[615,0] = 1\n\t\tv[616,0] = 1\n\t\tv[617,0] = 1\n\t\tv[618,0] = 1\n\t\tv[619,0] = 1\n\t\tv[620,0] = 1\n\t\tv[621,0] = 1\n\t\tv[622,0] = 1\n\t\tv[623,0] = 1\n\t\tv[624,0] = 1\n\t\tv[625,0] = 1\n\t\tv[626,0] = 1\n\t\tv[627,0] = 1\n\t\tv[628,0] = 1\n\t\tv[629,0] = 1\n\t\tv[630,0] = 1\n\t\tv[631,0] = 1\n\t\tv[632,0] = 1\n\t\tv[633,0] = 1\n\t\tv[634,0] = 1\n\t\tv[635,0] = 1\n\t\tv[636,0] = 1\n\t\tv[637,0] = 1\n\t\tv[638,0] = 1\n\t\tv[639,0] = 1\n\t\tv[640,0] = 1\n\t\tv[641,0] = 1\n\t\tv[642,0] = 1\n\t\tv[643,0] = 1\n\t\tv[644,0] = 1\n\t\tv[645,0] = 1\n\t\tv[646,0] = 1\n\t\tv[647,0] = 1\n\t\tv[648,0] = 1\n\t\tv[649,0] = 1\n\t\tv[650,0] = 1\n\t\tv[651,0] = 1\n\t\tv[652,0] = 1\n\t\tv[653,0] = 1\n\t\tv[654,0] = 1\n\t\tv[655,0] = 1\n\t\tv[656,0] = 1\n\t\tv[657,0] = 1\n\t\tv[658,0] = 1\n\t\tv[659,0] = 1\n\t\tv[660,0] = 1\n\t\tv[661,0] = 1\n\t\tv[662,0] = 1\n\t\tv[663,0] = 1\n\t\tv[664,0] = 1\n\t\tv[665,0] = 1\n\t\tv[666,0] = 1\n\t\tv[667,0] = 1\n\t\tv[668,0] = 1\n\t\tv[669,0] = 1\n\t\tv[670,0] = 1\n\t\tv[671,0] = 1\n\t\tv[672,0] = 1\n\t\tv[673,0] = 1\n\t\tv[674,0] = 1\n\t\tv[675,0] = 1\n\t\tv[676,0] = 1\n\t\tv[677,0] = 1\n\t\tv[678,0] = 1\n\t\tv[679,0] = 1\n\t\tv[680,0] = 1\n\t\tv[681,0] = 1\n\t\tv[682,0] = 1\n\t\tv[683,0] = 1\n\t\tv[684,0] = 1\n\t\tv[685,0] = 1\n\t\tv[686,0] = 1\n\t\tv[687,0] = 1\n\t\tv[688,0] = 1\n\t\tv[689,0] = 1\n\t\tv[690,0] = 1\n\t\tv[691,0] = 1\n\t\tv[692,0] = 1\n\t\tv[693,0] = 1\n\t\tv[694,0] = 1\n\t\tv[695,0] = 1\n\t\tv[696,0] = 1\n\t\tv[697,0] = 1\n\t\tv[698,0] = 1\n\t\tv[699,0] = 1\n\t\tv[700,0] = 1\n\t\tv[701,0] = 1\n\t\tv[702,0] = 1\n\t\tv[703,0] = 1\n\t\tv[704,0] = 1\n\t\tv[705,0] = 1\n\t\tv[706,0] = 1\n\t\tv[707,0] = 1\n\t\tv[708,0] = 1\n\t\tv[709,0] = 1\n\t\tv[710,0] = 1\n\t\tv[711,0] = 1\n\t\tv[712,0] = 1\n\t\tv[713,0] = 1\n\t\tv[714,0] = 1\n\t\tv[715,0] = 1\n\t\tv[716,0] = 1\n\t\tv[717,0] = 1\n\t\tv[718,0] = 1\n\t\tv[719,0] = 1\n\t\tv[720,0] = 1\n\t\tv[721,0] = 1\n\t\tv[722,0] = 1\n\t\tv[723,0] = 1\n\t\tv[724,0] = 1\n\t\tv[725,0] = 1\n\t\tv[726,0] = 1\n\t\tv[727,0] = 1\n\t\tv[728,0] = 1\n\t\tv[729,0] = 1\n\t\tv[730,0] = 1\n\t\tv[731,0] = 1\n\t\tv[732,0] = 1\n\t\tv[733,0] = 1\n\t\tv[734,0] = 1\n\t\tv[735,0] = 1\n\t\tv[736,0] = 1\n\t\tv[737,0] = 1\n\t\tv[738,0] = 1\n\t\tv[739,0] = 1\n\t\tv[740,0] = 1\n\t\tv[741,0] = 1\n\t\tv[742,0] = 1\n\t\tv[743,0] = 1\n\t\tv[744,0] = 1\n\t\tv[745,0] = 1\n\t\tv[746,0] = 1\n\t\tv[747,0] = 1\n\t\tv[748,0] = 1\n\t\tv[749,0] = 1\n\t\tv[750,0] = 1\n\t\tv[751,0] = 1\n\t\tv[752,0] = 1\n\t\tv[753,0] = 1\n\t\tv[754,0] = 1\n\t\tv[755,0] = 1\n\t\tv[756,0] = 1\n\t\tv[757,0] = 1\n\t\tv[758,0] = 1\n\t\tv[759,0] = 1\n\t\tv[760,0] = 1\n\t\tv[761,0] = 1\n\t\tv[762,0] = 1\n\t\tv[763,0] = 1\n\t\tv[764,0] = 1\n\t\tv[765,0] = 1\n\t\tv[766,0] = 1\n\t\tv[767,0] = 1\n\t\tv[768,0] = 1\n\t\tv[769,0] = 1\n\t\tv[770,0] = 1\n\t\tv[771,0] = 1\n\t\tv[772,0] = 1\n\t\tv[773,0] = 1\n\t\tv[774,0] = 1\n\t\tv[775,0] = 1\n\t\tv[776,0] = 1\n\t\tv[777,0] = 1\n\t\tv[778,0] = 1\n\t\tv[779,0] = 1\n\t\tv[780,0] = 1\n\t\tv[781,0] = 1\n\t\tv[782,0] = 1\n\t\tv[783,0] = 1\n\t\tv[784,0] = 1\n\t\tv[785,0] = 1\n\t\tv[786,0] = 1\n\t\tv[787,0] = 1\n\t\tv[788,0] = 1\n\t\tv[789,0] = 1\n\t\tv[790,0] = 1\n\t\tv[791,0] = 1\n\t\tv[792,0] = 1\n\t\tv[793,0] = 1\n\t\tv[794,0] = 1\n\t\tv[795,0] = 1\n\t\tv[796,0] = 1\n\t\tv[797,0] = 1\n\t\tv[798,0] = 1\n\t\tv[799,0] = 1\n\t\tv[800,0] = 1\n\t\tv[801,0] = 1\n\t\tv[802,0] = 1\n\t\tv[803,0] = 1\n\t\tv[804,0] = 1\n\t\tv[805,0] = 1\n\t\tv[806,0] = 1\n\t\tv[807,0] = 1\n\t\tv[808,0] = 1\n\t\tv[809,0] = 1\n\t\tv[810,0] = 1\n\t\tv[811,0] = 1\n\t\tv[812,0] = 1\n\t\tv[813,0] = 1\n\t\tv[814,0] = 1\n\t\tv[815,0] = 1\n\t\tv[816,0] = 1\n\t\tv[817,0] = 1\n\t\tv[818,0] = 1\n\t\tv[819,0] = 1\n\t\tv[820,0] = 1\n\t\tv[821,0] = 1\n\t\tv[822,0] = 1\n\t\tv[823,0] = 1\n\t\tv[824,0] = 1\n\t\tv[825,0] = 1\n\t\tv[826,0] = 1\n\t\tv[827,0] = 1\n\t\tv[828,0] = 1\n\t\tv[829,0] = 1\n\t\tv[830,0] = 1\n\t\tv[831,0] = 1\n\t\tv[832,0] = 1\n\t\tv[833,0] = 1\n\t\tv[834,0] = 1\n\t\tv[835,0] = 1\n\t\tv[836,0] = 1\n\t\tv[837,0] = 1\n\t\tv[838,0] = 1\n\t\tv[839,0] = 1\n\t\tv[840,0] = 1\n\t\tv[841,0] = 1\n\t\tv[842,0] = 1\n\t\tv[843,0] = 1\n\t\tv[844,0] = 1\n\t\tv[845,0] = 1\n\t\tv[846,0] = 1\n\t\tv[847,0] = 1\n\t\tv[848,0] = 1\n\t\tv[849,0] = 1\n\t\tv[850,0] = 1\n\t\tv[851,0] = 1\n\t\tv[852,0] = 1\n\t\tv[853,0] = 1\n\t\tv[854,0] = 1\n\t\tv[855,0] = 1\n\t\tv[856,0] = 1\n\t\tv[857,0] = 1\n\t\tv[858,0] = 1\n\t\tv[859,0] = 1\n\t\tv[860,0] = 1\n\t\tv[861,0] = 1\n\t\tv[862,0] = 1\n\t\tv[863,0] = 1\n\t\tv[864,0] = 1\n\t\tv[865,0] = 1\n\t\tv[866,0] = 1\n\t\tv[867,0] = 1\n\t\tv[868,0] = 1\n\t\tv[869,0] = 1\n\t\tv[870,0] = 1\n\t\tv[871,0] = 1\n\t\tv[872,0] = 1\n\t\tv[873,0] = 1\n\t\tv[874,0] = 1\n\t\tv[875,0] = 1\n\t\tv[876,0] = 1\n\t\tv[877,0] = 1\n\t\tv[878,0] = 1\n\t\tv[879,0] = 1\n\t\tv[880,0] = 1\n\t\tv[881,0] = 1\n\t\tv[882,0] = 1\n\t\tv[883,0] = 1\n\t\tv[884,0] = 1\n\t\tv[885,0] = 1\n\t\tv[886,0] = 1\n\t\tv[887,0] = 1\n\t\tv[888,0] = 1\n\t\tv[889,0] = 1\n\t\tv[890,0] = 1\n\t\tv[891,0] = 1\n\t\tv[892,0] = 1\n\t\tv[893,0] = 1\n\t\tv[894,0] = 1\n\t\tv[895,0] = 1\n\t\tv[896,0] = 1\n\t\tv[897,0] = 1\n\t\tv[898,0] = 1\n\t\tv[899,0] = 1\n\t\tv[900,0] = 1\n\t\tv[901,0] = 1\n\t\tv[902,0] = 1\n\t\tv[903,0] = 1\n\t\tv[904,0] = 1\n\t\tv[905,0] = 1\n\t\tv[906,0] = 1\n\t\tv[907,0] = 1\n\t\tv[908,0] = 1\n\t\tv[909,0] = 1\n\t\tv[910,0] = 1\n\t\tv[911,0] = 1\n\t\tv[912,0] = 1\n\t\tv[913,0] = 1\n\t\tv[914,0] = 1\n\t\tv[915,0] = 1\n\t\tv[916,0] = 1\n\t\tv[917,0] = 1\n\t\tv[918,0] = 1\n\t\tv[919,0] = 1\n\t\tv[920,0] = 1\n\t\tv[921,0] = 1\n\t\tv[922,0] = 1\n\t\tv[923,0] = 1\n\t\tv[924,0] = 1\n\t\tv[925,0] = 1\n\t\tv[926,0] = 1\n\t\tv[927,0] = 1\n\t\tv[928,0] = 1\n\t\tv[929,0] = 1\n\t\tv[930,0] = 1\n\t\tv[931,0] = 1\n\t\tv[932,0] = 1\n\t\tv[933,0] = 1\n\t\tv[934,0] = 1\n\t\tv[935,0] = 1\n\t\tv[936,0] = 1\n\t\tv[937,0] = 1\n\t\tv[938,0] = 1\n\t\tv[939,0] = 1\n\t\tv[940,0] = 1\n\t\tv[941,0] = 1\n\t\tv[942,0] = 1\n\t\tv[943,0] = 1\n\t\tv[944,0] = 1\n\t\tv[945,0] = 1\n\t\tv[946,0] = 1\n\t\tv[947,0] = 1\n\t\tv[948,0] = 1\n\t\tv[949,0] = 1\n\t\tv[950,0] = 1\n\t\tv[951,0] = 1\n\t\tv[952,0] = 1\n\t\tv[953,0] = 1\n\t\tv[954,0] = 1\n\t\tv[955,0] = 1\n\t\tv[956,0] = 1\n\t\tv[957,0] = 1\n\t\tv[958,0] = 1\n\t\tv[959,0] = 1\n\t\tv[960,0] = 1\n\t\tv[961,0] = 1\n\t\tv[962,0] = 1\n\t\tv[963,0] = 1\n\t\tv[964,0] = 1\n\t\tv[965,0] = 1\n\t\tv[966,0] = 1\n\t\tv[967,0] = 1\n\t\tv[968,0] = 1\n\t\tv[969,0] = 1\n\t\tv[970,0] = 1\n\t\tv[971,0] = 1\n\t\tv[972,0] = 1\n\t\tv[973,0] = 1\n\t\tv[974,0] = 1\n\t\tv[975,0] = 1\n\t\tv[976,0] = 1\n\t\tv[977,0] = 1\n\t\tv[978,0] = 1\n\t\tv[979,0] = 1\n\t\tv[980,0] = 1\n\t\tv[981,0] = 1\n\t\tv[982,0] = 1\n\t\tv[983,0] = 1\n\t\tv[984,0] = 1\n\t\tv[985,0] = 1\n\t\tv[986,0] = 1\n\t\tv[987,0] = 1\n\t\tv[988,0] = 1\n\t\tv[989,0] = 1\n\t\tv[990,0] = 1\n\t\tv[991,0] = 1\n\t\tv[992,0] = 1\n\t\tv[993,0] = 1\n\t\tv[994,0] = 1\n\t\tv[995,0] = 1\n\t\tv[996,0] = 1\n\t\tv[997,0] = 1\n\t\tv[998,0] = 1\n\t\tv[999,0] = 1\n\t\tv[1000,0] = 1\n\t\tv[1001,0] = 1\n\t\tv[1002,0] = 1\n\t\tv[1003,0] = 1\n\t\tv[1004,0] = 1\n\t\tv[1005,0] = 1\n\t\tv[1006,0] = 1\n\t\tv[1007,0] = 1\n\t\tv[1008,0] = 1\n\t\tv[1009,0] = 1\n\t\tv[1010,0] = 1\n\t\tv[1011,0] = 1\n\t\tv[1012,0] = 1\n\t\tv[1013,0] = 1\n\t\tv[1014,0] = 1\n\t\tv[1015,0] = 1\n\t\tv[1016,0] = 1\n\t\tv[1017,0] = 1\n\t\tv[1018,0] = 1\n\t\tv[1019,0] = 1\n\t\tv[1020,0] = 1\n\t\tv[1021,0] = 1\n\t\tv[1022,0] = 1\n\t\tv[1023,0] = 1\n\t\tv[1024,0] = 1\n\t\tv[1025,0] = 1\n\t\tv[1026,0] = 1\n\t\tv[1027,0] = 1\n\t\tv[1028,0] = 1\n\t\tv[1029,0] = 1\n\t\tv[1030,0] = 1\n\t\tv[1031,0] = 1\n\t\tv[1032,0] = 1\n\t\tv[1033,0] = 1\n\t\tv[1034,0] = 1\n\t\tv[1035,0] = 1\n\t\tv[1036,0] = 1\n\t\tv[1037,0] = 1\n\t\tv[1038,0] = 1\n\t\tv[1039,0] = 1\n\t\tv[1040,0] = 1\n\t\tv[1041,0] = 1\n\t\tv[1042,0] = 1\n\t\tv[1043,0] = 1\n\t\tv[1044,0] = 1\n\t\tv[1045,0] = 1\n\t\tv[1046,0] = 1\n\t\tv[1047,0] = 1\n\t\tv[1048,0] = 1\n\t\tv[1049,0] = 1\n\t\tv[1050,0] = 1\n\t\tv[1051,0] = 1\n\t\tv[1052,0] = 1\n\t\tv[1053,0] = 1\n\t\tv[1054,0] = 1\n\t\tv[1055,0] = 1\n\t\tv[1056,0] = 1\n\t\tv[1057,0] = 1\n\t\tv[1058,0] = 1\n\t\tv[1059,0] = 1\n\t\tv[1060,0] = 1\n\t\tv[1061,0] = 1\n\t\tv[1062,0] = 1\n\t\tv[1063,0] = 1\n\t\tv[1064,0] = 1\n\t\tv[1065,0] = 1\n\t\tv[1066,0] = 1\n\t\tv[1067,0] = 1\n\t\tv[1068,0] = 1\n\t\tv[1069,0] = 1\n\t\tv[1070,0] = 1\n\t\tv[1071,0] = 1\n\t\tv[1072,0] = 1\n\t\tv[1073,0] = 1\n\t\tv[1074,0] = 1\n\t\tv[1075,0] = 1\n\t\tv[1076,0] = 1\n\t\tv[1077,0] = 1\n\t\tv[1078,0] = 1\n\t\tv[1079,0] = 1\n\t\tv[1080,0] = 1\n\t\tv[1081,0] = 1\n\t\tv[1082,0] = 1\n\t\tv[1083,0] = 1\n\t\tv[1084,0] = 1\n\t\tv[1085,0] = 1\n\t\tv[1086,0] = 1\n\t\tv[1087,0] = 1\n\t\tv[1088,0] = 1\n\t\tv[1089,0] = 1\n\t\tv[1090,0] = 1\n\t\tv[1091,0] = 1\n\t\tv[1092,0] = 1\n\t\tv[1093,0] = 1\n\t\tv[1094,0] = 1\n\t\tv[1095,0] = 1\n\t\tv[1096,0] = 1\n\t\tv[1097,0] = 1\n\t\tv[1098,0] = 1\n\t\tv[1099,0] = 1\n\t\tv[1100,0] = 1\n\t\tv[1101,0] = 1\n\t\tv[1102,0] = 1\n\t\tv[1103,0] = 1\n\t\tv[1104,0] = 1\n\t\tv[1105,0] = 1\n\t\tv[1106,0] = 1\n\t\tv[1107,0] = 1\n\t\tv[1108,0] = 1\n\t\tv[1109,0] = 1\n\t\tv[1110,0] = 1\n\n\t\tv[2,1] = 1\n\t\tv[3,1] = 3\n\t\tv[4,1] = 1\n\t\tv[5,1] = 3\n\t\tv[6,1] = 1\n\t\tv[7,1] = 3\n\t\tv[8,1] = 3\n\t\tv[9,1] = 1\n\t\tv[10,1] = 3\n\t\tv[11,1] = 1\n\t\tv[12,1] = 3\n\t\tv[13,1] = 1\n\t\tv[14,1] = 3\n\t\tv[15,1] = 1\n\t\tv[16,1] = 1\n\t\tv[17,1] = 3\n\t\tv[18,1] = 1\n\t\tv[19,1] = 3\n\t\tv[20,1] = 1\n\t\tv[21,1] = 3\n\t\tv[22,1] = 1\n\t\tv[23,1] = 3\n\t\tv[24,1] = 3\n\t\tv[25,1] = 1\n\t\tv[26,1] = 1\n\t\tv[27,1] = 1\n\t\tv[28,1] = 3\n\t\tv[29,1] = 1\n\t\tv[30,1] = 3\n\t\tv[31,1] = 1\n\t\tv[32,1] = 3\n\t\tv[33,1] = 3\n\t\tv[34,1] = 1\n\t\tv[35,1] = 3\n\t\tv[36,1] = 1\n\t\tv[37,1] = 1\n\t\tv[38,1] = 1\n\t\tv[39,1] = 3\n\t\tv[40,1] = 1\n\t\tv[41,1] = 3\n\t\tv[42,1] = 1\n\t\tv[43,1] = 1\n\t\tv[44,1] = 1\n\t\tv[45,1] = 3\n\t\tv[46,1] = 3\n\t\tv[47,1] = 1\n\t\tv[48,1] = 3\n\t\tv[49,1] = 3\n\t\tv[50,1] = 1\n\t\tv[51,1] = 1\n\t\tv[52,1] = 3\n\t\tv[53,1] = 3\n\t\tv[54,1] = 1\n\t\tv[55,1] = 3\n\t\tv[56,1] = 3\n\t\tv[57,1] = 3\n\t\tv[58,1] = 1\n\t\tv[59,1] = 3\n\t\tv[60,1] = 1\n\t\tv[61,1] = 3\n\t\tv[62,1] = 1\n\t\tv[63,1] = 1\n\t\tv[64,1] = 3\n\t\tv[65,1] = 3\n\t\tv[66,1] = 1\n\t\tv[67,1] = 1\n\t\tv[68,1] = 1\n\t\tv[69,1] = 1\n\t\tv[70,1] = 3\n\t\tv[71,1] = 1\n\t\tv[72,1] = 1\n\t\tv[73,1] = 3\n\t\tv[74,1] = 1\n\t\tv[75,1] = 1\n\t\tv[76,1] = 1\n\t\tv[77,1] = 3\n\t\tv[78,1] = 3\n\t\tv[79,1] = 1\n\t\tv[80,1] = 3\n\t\tv[81,1] = 3\n\t\tv[82,1] = 1\n\t\tv[83,1] = 3\n\t\tv[84,1] = 3\n\t\tv[85,1] = 3\n\t\tv[86,1] = 1\n\t\tv[87,1] = 3\n\t\tv[88,1] = 3\n\t\tv[89,1] = 3\n\t\tv[90,1] = 1\n\t\tv[91,1] = 3\n\t\tv[92,1] = 3\n\t\tv[93,1] = 1\n\t\tv[94,1] = 3\n\t\tv[95,1] = 3\n\t\tv[96,1] = 3\n\t\tv[97,1] = 1\n\t\tv[98,1] = 3\n\t\tv[99,1] = 1\n\t\tv[100,1] = 3\n\t\tv[101,1] = 1\n\t\tv[102,1] = 1\n\t\tv[103,1] = 3\n\t\tv[104,1] = 3\n\t\tv[105,1] = 1\n\t\tv[106,1] = 3\n\t\tv[107,1] = 3\n\t\tv[108,1] = 1\n\t\tv[109,1] = 1\n\t\tv[110,1] = 1\n\t\tv[111,1] = 3\n\t\tv[112,1] = 3\n\t\tv[113,1] = 1\n\t\tv[114,1] = 3\n\t\tv[115,1] = 3\n\t\tv[116,1] = 1\n\t\tv[117,1] = 3\n\t\tv[118,1] = 1\n\t\tv[119,1] = 1\n\t\tv[120,1] = 3\n\t\tv[121,1] = 3\n\t\tv[122,1] = 3\n\t\tv[123,1] = 1\n\t\tv[124,1] = 1\n\t\tv[125,1] = 1\n\t\tv[126,1] = 3\n\t\tv[127,1] = 1\n\t\tv[128,1] = 1\n\t\tv[129,1] = 3\n\t\tv[130,1] = 1\n\t\tv[131,1] = 1\n\t\tv[132,1] = 3\n\t\tv[133,1] = 3\n\t\tv[134,1] = 1\n\t\tv[135,1] = 3\n\t\tv[136,1] = 1\n\t\tv[137,1] = 3\n\t\tv[138,1] = 3\n\t\tv[139,1] = 3\n\t\tv[140,1] = 3\n\t\tv[141,1] = 1\n\t\tv[142,1] = 1\n\t\tv[143,1] = 1\n\t\tv[144,1] = 3\n\t\tv[145,1] = 3\n\t\tv[146,1] = 1\n\t\tv[147,1] = 1\n\t\tv[148,1] = 3\n\t\tv[149,1] = 1\n\t\tv[150,1] = 1\n\t\tv[151,1] = 1\n\t\tv[152,1] = 1\n\t\tv[153,1] = 1\n\t\tv[154,1] = 1\n\t\tv[155,1] = 3\n\t\tv[156,1] = 1\n\t\tv[157,1] = 3\n\t\tv[158,1] = 1\n\t\tv[159,1] = 1\n\t\tv[160,1] = 1\n\t\tv[161,1] = 3\n\t\tv[162,1] = 1\n\t\tv[163,1] = 3\n\t\tv[164,1] = 1\n\t\tv[165,1] = 3\n\t\tv[166,1] = 3\n\t\tv[167,1] = 3\n\t\tv[168,1] = 1\n\t\tv[169,1] = 1\n\t\tv[170,1] = 3\n\t\tv[171,1] = 3\n\t\tv[172,1] = 1\n\t\tv[173,1] = 3\n\t\tv[174,1] = 1\n\t\tv[175,1] = 3\n\t\tv[176,1] = 1\n\t\tv[177,1] = 1\n\t\tv[178,1] = 3\n\t\tv[179,1] = 1\n\t\tv[180,1] = 3\n\t\tv[181,1] = 1\n\t\tv[182,1] = 3\n\t\tv[183,1] = 1\n\t\tv[184,1] = 3\n\t\tv[185,1] = 1\n\t\tv[186,1] = 1\n\t\tv[187,1] = 1\n\t\tv[188,1] = 3\n\t\tv[189,1] = 3\n\t\tv[190,1] = 1\n\t\tv[191,1] = 3\n\t\tv[192,1] = 3\n\t\tv[193,1] = 1\n\t\tv[194,1] = 3\n\t\tv[195,1] = 1\n\t\tv[196,1] = 1\n\t\tv[197,1] = 1\n\t\tv[198,1] = 3\n\t\tv[199,1] = 1\n\t\tv[200,1] = 3\n\t\tv[201,1] = 1\n\t\tv[202,1] = 1\n\t\tv[203,1] = 3\n\t\tv[204,1] = 1\n\t\tv[205,1] = 1\n\t\tv[206,1] = 3\n\t\tv[207,1] = 3\n\t\tv[208,1] = 1\n\t\tv[209,1] = 1\n\t\tv[210,1] = 3\n\t\tv[211,1] = 3\n\t\tv[212,1] = 3\n\t\tv[213,1] = 1\n\t\tv[214,1] = 3\n\t\tv[215,1] = 3\n\t\tv[216,1] = 3\n\t\tv[217,1] = 1\n\t\tv[218,1] = 3\n\t\tv[219,1] = 1\n\t\tv[220,1] = 3\n\t\tv[221,1] = 1\n\t\tv[222,1] = 1\n\t\tv[223,1] = 1\n\t\tv[224,1] = 3\n\t\tv[225,1] = 1\n\t\tv[226,1] = 1\n\t\tv[227,1] = 1\n\t\tv[228,1] = 3\n\t\tv[229,1] = 1\n\t\tv[230,1] = 1\n\t\tv[231,1] = 1\n\t\tv[232,1] = 1\n\t\tv[233,1] = 1\n\t\tv[234,1] = 3\n\t\tv[235,1] = 3\n\t\tv[236,1] = 3\n\t\tv[237,1] = 1\n\t\tv[238,1] = 1\n\t\tv[239,1] = 1\n\t\tv[240,1] = 1\n\t\tv[241,1] = 3\n\t\tv[242,1] = 3\n\t\tv[243,1] = 3\n\t\tv[244,1] = 1\n\t\tv[245,1] = 3\n\t\tv[246,1] = 3\n\t\tv[247,1] = 1\n\t\tv[248,1] = 1\n\t\tv[249,1] = 1\n\t\tv[250,1] = 1\n\t\tv[251,1] = 3\n\t\tv[252,1] = 1\n\t\tv[253,1] = 1\n\t\tv[254,1] = 3\n\t\tv[255,1] = 1\n\t\tv[256,1] = 3\n\t\tv[257,1] = 3\n\t\tv[258,1] = 1\n\t\tv[259,1] = 1\n\t\tv[260,1] = 3\n\t\tv[261,1] = 3\n\t\tv[262,1] = 1\n\t\tv[263,1] = 1\n\t\tv[264,1] = 1\n\t\tv[265,1] = 1\n\t\tv[266,1] = 3\n\t\tv[267,1] = 1\n\t\tv[268,1] = 3\n\t\tv[269,1] = 3\n\t\tv[270,1] = 1\n\t\tv[271,1] = 3\n\t\tv[272,1] = 3\n\t\tv[273,1] = 1\n\t\tv[274,1] = 1\n\t\tv[275,1] = 1\n\t\tv[276,1] = 3\n\t\tv[277,1] = 3\n\t\tv[278,1] = 3\n\t\tv[279,1] = 1\n\t\tv[280,1] = 3\n\t\tv[281,1] = 3\n\t\tv[282,1] = 1\n\t\tv[283,1] = 3\n\t\tv[284,1] = 3\n\t\tv[285,1] = 1\n\t\tv[286,1] = 3\n\t\tv[287,1] = 1\n\t\tv[288,1] = 3\n\t\tv[289,1] = 3\n\t\tv[290,1] = 3\n\t\tv[291,1] = 1\n\t\tv[292,1] = 3\n\t\tv[293,1] = 1\n\t\tv[294,1] = 1\n\t\tv[295,1] = 3\n\t\tv[296,1] = 1\n\t\tv[297,1] = 3\n\t\tv[298,1] = 1\n\t\tv[299,1] = 1\n\t\tv[300,1] = 1\n\t\tv[301,1] = 3\n\t\tv[302,1] = 3\n\t\tv[303,1] = 3\n\t\tv[304,1] = 1\n\t\tv[305,1] = 1\n\t\tv[306,1] = 3\n\t\tv[307,1] = 1\n\t\tv[308,1] = 3\n\t\tv[309,1] = 1\n\t\tv[310,1] = 1\n\t\tv[311,1] = 1\n\t\tv[312,1] = 1\n\t\tv[313,1] = 1\n\t\tv[314,1] = 1\n\t\tv[315,1] = 3\n\t\tv[316,1] = 1\n\t\tv[317,1] = 1\n\t\tv[318,1] = 3\n\t\tv[319,1] = 1\n\t\tv[320,1] = 3\n\t\tv[321,1] = 3\n\t\tv[322,1] = 1\n\t\tv[323,1] = 1\n\t\tv[324,1] = 1\n\t\tv[325,1] = 1\n\t\tv[326,1] = 3\n\t\tv[327,1] = 1\n\t\tv[328,1] = 3\n\t\tv[329,1] = 1\n\t\tv[330,1] = 3\n\t\tv[331,1] = 1\n\t\tv[332,1] = 1\n\t\tv[333,1] = 1\n\t\tv[334,1] = 1\n\t\tv[335,1] = 3\n\t\tv[336,1] = 3\n\t\tv[337,1] = 1\n\t\tv[338,1] = 1\n\t\tv[339,1] = 1\n\t\tv[340,1] = 1\n\t\tv[341,1] = 1\n\t\tv[342,1] = 3\n\t\tv[343,1] = 3\n\t\tv[344,1] = 3\n\t\tv[345,1] = 1\n\t\tv[346,1] = 1\n\t\tv[347,1] = 3\n\t\tv[348,1] = 3\n\t\tv[349,1] = 3\n\t\tv[350,1] = 3\n\t\tv[351,1] = 3\n\t\tv[352,1] = 1\n\t\tv[353,1] = 3\n\t\tv[354,1] = 3\n\t\tv[355,1] = 1\n\t\tv[356,1] = 3\n\t\tv[357,1] = 3\n\t\tv[358,1] = 3\n\t\tv[359,1] = 3\n\t\tv[360,1] = 1\n\t\tv[361,1] = 1\n\t\tv[362,1] = 1\n\t\tv[363,1] = 1\n\t\tv[364,1] = 1\n\t\tv[365,1] = 1\n\t\tv[366,1] = 3\n\t\tv[367,1] = 1\n\t\tv[368,1] = 1\n\t\tv[369,1] = 3\n\t\tv[370,1] = 1\n\t\tv[371,1] = 1\n\t\tv[372,1] = 1\n\t\tv[373,1] = 3\n\t\tv[374,1] = 1\n\t\tv[375,1] = 1\n\t\tv[376,1] = 1\n\t\tv[377,1] = 3\n\t\tv[378,1] = 3\n\t\tv[379,1] = 3\n\t\tv[380,1] = 1\n\t\tv[381,1] = 3\n\t\tv[382,1] = 1\n\t\tv[383,1] = 1\n\t\tv[384,1] = 3\n\t\tv[385,1] = 3\n\t\tv[386,1] = 3\n\t\tv[387,1] = 1\n\t\tv[388,1] = 3\n\t\tv[389,1] = 3\n\t\tv[390,1] = 1\n\t\tv[391,1] = 3\n\t\tv[392,1] = 1\n\t\tv[393,1] = 3\n\t\tv[394,1] = 3\n\t\tv[395,1] = 1\n\t\tv[396,1] = 3\n\t\tv[397,1] = 3\n\t\tv[398,1] = 3\n\t\tv[399,1] = 1\n\t\tv[400,1] = 1\n\t\tv[401,1] = 3\n\t\tv[402,1] = 3\n\t\tv[403,1] = 1\n\t\tv[404,1] = 3\n\t\tv[405,1] = 1\n\t\tv[406,1] = 3\n\t\tv[407,1] = 1\n\t\tv[408,1] = 1\n\t\tv[409,1] = 1\n\t\tv[410,1] = 3\n\t\tv[411,1] = 3\n\t\tv[412,1] = 3\n\t\tv[413,1] = 3\n\t\tv[414,1] = 1\n\t\tv[415,1] = 3\n\t\tv[416,1] = 1\n\t\tv[417,1] = 1\n\t\tv[418,1] = 3\n\t\tv[419,1] = 1\n\t\tv[420,1] = 3\n\t\tv[421,1] = 1\n\t\tv[422,1] = 1\n\t\tv[423,1] = 1\n\t\tv[424,1] = 3\n\t\tv[425,1] = 1\n\t\tv[426,1] = 3\n\t\tv[427,1] = 1\n\t\tv[428,1] = 3\n\t\tv[429,1] = 1\n\t\tv[430,1] = 3\n\t\tv[431,1] = 3\n\t\tv[432,1] = 3\n\t\tv[433,1] = 3\n\t\tv[434,1] = 3\n\t\tv[435,1] = 3\n\t\tv[436,1] = 3\n\t\tv[437,1] = 3\n\t\tv[438,1] = 1\n\t\tv[439,1] = 3\n\t\tv[440,1] = 3\n\t\tv[441,1] = 3\n\t\tv[442,1] = 3\n\t\tv[443,1] = 3\n\t\tv[444,1] = 1\n\t\tv[445,1] = 3\n\t\tv[446,1] = 1\n\t\tv[447,1] = 3\n\t\tv[448,1] = 3\n\t\tv[449,1] = 3\n\t\tv[450,1] = 1\n\t\tv[451,1] = 3\n\t\tv[452,1] = 1\n\t\tv[453,1] = 3\n\t\tv[454,1] = 1\n\t\tv[455,1] = 3\n\t\tv[456,1] = 3\n\t\tv[457,1] = 1\n\t\tv[458,1] = 3\n\t\tv[459,1] = 3\n\t\tv[460,1] = 3\n\t\tv[461,1] = 3\n\t\tv[462,1] = 3\n\t\tv[463,1] = 3\n\t\tv[464,1] = 3\n\t\tv[465,1] = 3\n\t\tv[466,1] = 3\n\t\tv[467,1] = 1\n\t\tv[468,1] = 1\n\t\tv[469,1] = 1\n\t\tv[470,1] = 1\n\t\tv[471,1] = 1\n\t\tv[472,1] = 1\n\t\tv[473,1] = 3\n\t\tv[474,1] = 3\n\t\tv[475,1] = 1\n\t\tv[476,1] = 1\n\t\tv[477,1] = 3\n\t\tv[478,1] = 3\n\t\tv[479,1] = 1\n\t\tv[480,1] = 1\n\t\tv[481,1] = 1\n\t\tv[482,1] = 3\n\t\tv[483,1] = 3\n\t\tv[484,1] = 1\n\t\tv[485,1] = 1\n\t\tv[486,1] = 3\n\t\tv[487,1] = 3\n\t\tv[488,1] = 3\n\t\tv[489,1] = 3\n\t\tv[490,1] = 1\n\t\tv[491,1] = 1\n\t\tv[492,1] = 3\n\t\tv[493,1] = 1\n\t\tv[494,1] = 3\n\t\tv[495,1] = 3\n\t\tv[496,1] = 1\n\t\tv[497,1] = 3\n\t\tv[498,1] = 3\n\t\tv[499,1] = 1\n\t\tv[500,1] = 1\n\t\tv[501,1] = 1\n\t\tv[502,1] = 3\n\t\tv[503,1] = 3\n\t\tv[504,1] = 3\n\t\tv[505,1] = 1\n\t\tv[506,1] = 1\n\t\tv[507,1] = 3\n\t\tv[508,1] = 3\n\t\tv[509,1] = 3\n\t\tv[510,1] = 3\n\t\tv[511,1] = 3\n\t\tv[512,1] = 1\n\t\tv[513,1] = 1\n\t\tv[514,1] = 1\n\t\tv[515,1] = 3\n\t\tv[516,1] = 1\n\t\tv[517,1] = 3\n\t\tv[518,1] = 3\n\t\tv[519,1] = 1\n\t\tv[520,1] = 3\n\t\tv[521,1] = 3\n\t\tv[522,1] = 3\n\t\tv[523,1] = 3\n\t\tv[524,1] = 1\n\t\tv[525,1] = 1\n\t\tv[526,1] = 3\n\t\tv[527,1] = 1\n\t\tv[528,1] = 1\n\t\tv[529,1] = 3\n\t\tv[530,1] = 1\n\t\tv[531,1] = 3\n\t\tv[532,1] = 1\n\t\tv[533,1] = 3\n\t\tv[534,1] = 1\n\t\tv[535,1] = 3\n\t\tv[536,1] = 3\n\t\tv[537,1] = 1\n\t\tv[538,1] = 1\n\t\tv[539,1] = 3\n\t\tv[540,1] = 3\n\t\tv[541,1] = 1\n\t\tv[542,1] = 3\n\t\tv[543,1] = 3\n\t\tv[544,1] = 1\n\t\tv[545,1] = 3\n\t\tv[546,1] = 3\n\t\tv[547,1] = 1\n\t\tv[548,1] = 1\n\t\tv[549,1] = 3\n\t\tv[550,1] = 1\n\t\tv[551,1] = 3\n\t\tv[552,1] = 3\n\t\tv[553,1] = 1\n\t\tv[554,1] = 1\n\t\tv[555,1] = 3\n\t\tv[556,1] = 1\n\t\tv[557,1] = 3\n\t\tv[558,1] = 1\n\t\tv[559,1] = 3\n\t\tv[560,1] = 1\n\t\tv[561,1] = 1\n\t\tv[562,1] = 3\n\t\tv[563,1] = 3\n\t\tv[564,1] = 1\n\t\tv[565,1] = 1\n\t\tv[566,1] = 1\n\t\tv[567,1] = 3\n\t\tv[568,1] = 3\n\t\tv[569,1] = 1\n\t\tv[570,1] = 3\n\t\tv[571,1] = 1\n\t\tv[572,1] = 1\n\t\tv[573,1] = 3\n\t\tv[574,1] = 3\n\t\tv[575,1] = 1\n\t\tv[576,1] = 1\n\t\tv[577,1] = 3\n\t\tv[578,1] = 1\n\t\tv[579,1] = 3\n\t\tv[580,1] = 1\n\t\tv[581,1] = 1\n\t\tv[582,1] = 1\n\t\tv[583,1] = 1\n\t\tv[584,1] = 1\n\t\tv[585,1] = 3\n\t\tv[586,1] = 1\n\t\tv[587,1] = 1\n\t\tv[588,1] = 1\n\t\tv[589,1] = 1\n\t\tv[590,1] = 3\n\t\tv[591,1] = 1\n\t\tv[592,1] = 3\n\t\tv[593,1] = 1\n\t\tv[594,1] = 1\n\t\tv[595,1] = 3\n\t\tv[596,1] = 3\n\t\tv[597,1] = 1\n\t\tv[598,1] = 1\n\t\tv[599,1] = 3\n\t\tv[600,1] = 1\n\t\tv[601,1] = 3\n\t\tv[602,1] = 1\n\t\tv[603,1] = 3\n\t\tv[604,1] = 3\n\t\tv[605,1] = 3\n\t\tv[606,1] = 1\n\t\tv[607,1] = 3\n\t\tv[608,1] = 3\n\t\tv[609,1] = 3\n\t\tv[610,1] = 1\n\t\tv[611,1] = 1\n\t\tv[612,1] = 3\n\t\tv[613,1] = 3\n\t\tv[614,1] = 3\n\t\tv[615,1] = 1\n\t\tv[616,1] = 1\n\t\tv[617,1] = 1\n\t\tv[618,1] = 1\n\t\tv[619,1] = 3\n\t\tv[620,1] = 1\n\t\tv[621,1] = 3\n\t\tv[622,1] = 1\n\t\tv[623,1] = 3\n\t\tv[624,1] = 1\n\t\tv[625,1] = 1\n\t\tv[626,1] = 3\n\t\tv[627,1] = 3\n\t\tv[628,1] = 1\n\t\tv[629,1] = 1\n\t\tv[630,1] = 1\n\t\tv[631,1] = 3\n\t\tv[632,1] = 3\n\t\tv[633,1] = 1\n\t\tv[634,1] = 3\n\t\tv[635,1] = 1\n\t\tv[636,1] = 3\n\t\tv[637,1] = 1\n\t\tv[638,1] = 1\n\t\tv[639,1] = 1\n\t\tv[640,1] = 1\n\t\tv[641,1] = 1\n\t\tv[642,1] = 1\n\t\tv[643,1] = 3\n\t\tv[644,1] = 1\n\t\tv[645,1] = 3\n\t\tv[646,1] = 3\n\t\tv[647,1] = 1\n\t\tv[648,1] = 3\n\t\tv[649,1] = 3\n\t\tv[650,1] = 3\n\t\tv[651,1] = 1\n\t\tv[652,1] = 3\n\t\tv[653,1] = 1\n\t\tv[654,1] = 1\n\t\tv[655,1] = 3\n\t\tv[656,1] = 3\n\t\tv[657,1] = 1\n\t\tv[658,1] = 1\n\t\tv[659,1] = 3\n\t\tv[660,1] = 3\n\t\tv[661,1] = 1\n\t\tv[662,1] = 1\n\t\tv[663,1] = 1\n\t\tv[664,1] = 3\n\t\tv[665,1] = 1\n\t\tv[666,1] = 3\n\t\tv[667,1] = 3\n\t\tv[668,1] = 1\n\t\tv[669,1] = 1\n\t\tv[670,1] = 3\n\t\tv[671,1] = 1\n\t\tv[672,1] = 1\n\t\tv[673,1] = 3\n\t\tv[674,1] = 1\n\t\tv[675,1] = 3\n\t\tv[676,1] = 1\n\t\tv[677,1] = 1\n\t\tv[678,1] = 1\n\t\tv[679,1] = 3\n\t\tv[680,1] = 3\n\t\tv[681,1] = 3\n\t\tv[682,1] = 3\n\t\tv[683,1] = 1\n\t\tv[684,1] = 1\n\t\tv[685,1] = 3\n\t\tv[686,1] = 3\n\t\tv[687,1] = 1\n\t\tv[688,1] = 1\n\t\tv[689,1] = 1\n\t\tv[690,1] = 1\n\t\tv[691,1] = 3\n\t\tv[692,1] = 1\n\t\tv[693,1] = 1\n\t\tv[694,1] = 3\n\t\tv[695,1] = 3\n\t\tv[696,1] = 3\n\t\tv[697,1] = 1\n\t\tv[698,1] = 1\n\t\tv[699,1] = 3\n\t\tv[700,1] = 3\n\t\tv[701,1] = 1\n\t\tv[702,1] = 3\n\t\tv[703,1] = 3\n\t\tv[704,1] = 1\n\t\tv[705,1] = 1\n\t\tv[706,1] = 3\n\t\tv[707,1] = 3\n\t\tv[708,1] = 3\n\t\tv[709,1] = 3\n\t\tv[710,1] = 3\n\t\tv[711,1] = 3\n\t\tv[712,1] = 3\n\t\tv[713,1] = 1\n\t\tv[714,1] = 3\n\t\tv[715,1] = 3\n\t\tv[716,1] = 1\n\t\tv[717,1] = 3\n\t\tv[718,1] = 1\n\t\tv[719,1] = 3\n\t\tv[720,1] = 1\n\t\tv[721,1] = 1\n\t\tv[722,1] = 3\n\t\tv[723,1] = 3\n\t\tv[724,1] = 1\n\t\tv[725,1] = 1\n\t\tv[726,1] = 1\n\t\tv[727,1] = 3\n\t\tv[728,1] = 1\n\t\tv[729,1] = 3\n\t\tv[730,1] = 3\n\t\tv[731,1] = 1\n\t\tv[732,1] = 3\n\t\tv[733,1] = 3\n\t\tv[734,1] = 1\n\t\tv[735,1] = 3\n\t\tv[736,1] = 1\n\t\tv[737,1] = 1\n\t\tv[738,1] = 3\n\t\tv[739,1] = 3\n\t\tv[740,1] = 3\n\t\tv[741,1] = 1\n\t\tv[742,1] = 1\n\t\tv[743,1] = 1\n\t\tv[744,1] = 3\n\t\tv[745,1] = 1\n\t\tv[746,1] = 1\n\t\tv[747,1] = 1\n\t\tv[748,1] = 3\n\t\tv[749,1] = 3\n\t\tv[750,1] = 3\n\t\tv[751,1] = 1\n\t\tv[752,1] = 3\n\t\tv[753,1] = 3\n\t\tv[754,1] = 1\n\t\tv[755,1] = 3\n\t\tv[756,1] = 1\n\t\tv[757,1] = 1\n\t\tv[758,1] = 3\n\t\tv[759,1] = 3\n\t\tv[760,1] = 3\n\t\tv[761,1] = 1\n\t\tv[762,1] = 3\n\t\tv[763,1] = 3\n\t\tv[764,1] = 1\n\t\tv[765,1] = 1\n\t\tv[766,1] = 1\n\t\tv[767,1] = 3\n\t\tv[768,1] = 1\n\t\tv[769,1] = 3\n\t\tv[770,1] = 3\n\t\tv[771,1] = 3\n\t\tv[772,1] = 3\n\t\tv[773,1] = 3\n\t\tv[774,1] = 3\n\t\tv[775,1] = 3\n\t\tv[776,1] = 3\n\t\tv[777,1] = 1\n\t\tv[778,1] = 3\n\t\tv[779,1] = 3\n\t\tv[780,1] = 1\n\t\tv[781,1] = 3\n\t\tv[782,1] = 1\n\t\tv[783,1] = 1\n\t\tv[784,1] = 3\n\t\tv[785,1] = 3\n\t\tv[786,1] = 3\n\t\tv[787,1] = 1\n\t\tv[788,1] = 3\n\t\tv[789,1] = 3\n\t\tv[790,1] = 3\n\t\tv[791,1] = 3\n\t\tv[792,1] = 3\n\t\tv[793,1] = 1\n\t\tv[794,1] = 3\n\t\tv[795,1] = 3\n\t\tv[796,1] = 3\n\t\tv[797,1] = 1\n\t\tv[798,1] = 1\n\t\tv[799,1] = 1\n\t\tv[800,1] = 3\n\t\tv[801,1] = 3\n\t\tv[802,1] = 1\n\t\tv[803,1] = 3\n\t\tv[804,1] = 3\n\t\tv[805,1] = 1\n\t\tv[806,1] = 3\n\t\tv[807,1] = 1\n\t\tv[808,1] = 3\n\t\tv[809,1] = 1\n\t\tv[810,1] = 3\n\t\tv[811,1] = 1\n\t\tv[812,1] = 3\n\t\tv[813,1] = 3\n\t\tv[814,1] = 3\n\t\tv[815,1] = 3\n\t\tv[816,1] = 3\n\t\tv[817,1] = 3\n\t\tv[818,1] = 1\n\t\tv[819,1] = 1\n\t\tv[820,1] = 3\n\t\tv[821,1] = 1\n\t\tv[822,1] = 3\n\t\tv[823,1] = 1\n\t\tv[824,1] = 1\n\t\tv[825,1] = 1\n\t\tv[826,1] = 1\n\t\tv[827,1] = 1\n\t\tv[828,1] = 3\n\t\tv[829,1] = 1\n\t\tv[830,1] = 1\n\t\tv[831,1] = 1\n\t\tv[832,1] = 3\n\t\tv[833,1] = 1\n\t\tv[834,1] = 3\n\t\tv[835,1] = 1\n\t\tv[836,1] = 1\n\t\tv[837,1] = 3\n\t\tv[838,1] = 3\n\t\tv[839,1] = 3\n\t\tv[840,1] = 1\n\t\tv[841,1] = 3\n\t\tv[842,1] = 1\n\t\tv[843,1] = 3\n\t\tv[844,1] = 1\n\t\tv[845,1] = 1\n\t\tv[846,1] = 3\n\t\tv[847,1] = 1\n\t\tv[848,1] = 3\n\t\tv[849,1] = 3\n\t\tv[850,1] = 1\n\t\tv[851,1] = 3\n\t\tv[852,1] = 1\n\t\tv[853,1] = 3\n\t\tv[854,1] = 3\n\t\tv[855,1] = 1\n\t\tv[856,1] = 3\n\t\tv[857,1] = 3\n\t\tv[858,1] = 1\n\t\tv[859,1] = 3\n\t\tv[860,1] = 3\n\t\tv[861,1] = 3\n\t\tv[862,1] = 3\n\t\tv[863,1] = 3\n\t\tv[864,1] = 3\n\t\tv[865,1] = 1\n\t\tv[866,1] = 3\n\t\tv[867,1] = 1\n\t\tv[868,1] = 1\n\t\tv[869,1] = 3\n\t\tv[870,1] = 3\n\t\tv[871,1] = 3\n\t\tv[872,1] = 1\n\t\tv[873,1] = 1\n\t\tv[874,1] = 3\n\t\tv[875,1] = 3\n\t\tv[876,1] = 3\n\t\tv[877,1] = 3\n\t\tv[878,1] = 3\n\t\tv[879,1] = 3\n\t\tv[880,1] = 3\n\t\tv[881,1] = 1\n\t\tv[882,1] = 3\n\t\tv[883,1] = 3\n\t\tv[884,1] = 3\n\t\tv[885,1] = 3\n\t\tv[886,1] = 1\n\t\tv[887,1] = 3\n\t\tv[888,1] = 1\n\t\tv[889,1] = 3\n\t\tv[890,1] = 3\n\t\tv[891,1] = 3\n\t\tv[892,1] = 1\n\t\tv[893,1] = 3\n\t\tv[894,1] = 1\n\t\tv[895,1] = 3\n\t\tv[896,1] = 1\n\t\tv[897,1] = 1\n\t\tv[898,1] = 1\n\t\tv[899,1] = 3\n\t\tv[900,1] = 3\n\t\tv[901,1] = 1\n\t\tv[902,1] = 3\n\t\tv[903,1] = 1\n\t\tv[904,1] = 1\n\t\tv[905,1] = 3\n\t\tv[906,1] = 3\n\t\tv[907,1] = 1\n\t\tv[908,1] = 3\n\t\tv[909,1] = 1\n\t\tv[910,1] = 1\n\t\tv[911,1] = 1\n\t\tv[912,1] = 1\n\t\tv[913,1] = 3\n\t\tv[914,1] = 1\n\t\tv[915,1] = 3\n\t\tv[916,1] = 1\n\t\tv[917,1] = 1\n\t\tv[918,1] = 3\n\t\tv[919,1] = 1\n\t\tv[920,1] = 3\n\t\tv[921,1] = 1\n\t\tv[922,1] = 3\n\t\tv[923,1] = 3\n\t\tv[924,1] = 3\n\t\tv[925,1] = 3\n\t\tv[926,1] = 3\n\t\tv[927,1] = 3\n\t\tv[928,1] = 1\n\t\tv[929,1] = 3\n\t\tv[930,1] = 3\n\t\tv[931,1] = 3\n\t\tv[932,1] = 3\n\t\tv[933,1] = 1\n\t\tv[934,1] = 3\n\t\tv[935,1] = 3\n\t\tv[936,1] = 1\n\t\tv[937,1] = 3\n\t\tv[938,1] = 3\n\t\tv[939,1] = 3\n\t\tv[940,1] = 3\n\t\tv[941,1] = 3\n\t\tv[942,1] = 1\n\t\tv[943,1] = 1\n\t\tv[944,1] = 1\n\t\tv[945,1] = 1\n\t\tv[946,1] = 3\n\t\tv[947,1] = 3\n\t\tv[948,1] = 3\n\t\tv[949,1] = 1\n\t\tv[950,1] = 3\n\t\tv[951,1] = 3\n\t\tv[952,1] = 1\n\t\tv[953,1] = 1\n\t\tv[954,1] = 3\n\t\tv[955,1] = 3\n\t\tv[956,1] = 1\n\t\tv[957,1] = 1\n\t\tv[958,1] = 3\n\t\tv[959,1] = 3\n\t\tv[960,1] = 1\n\t\tv[961,1] = 3\n\t\tv[962,1] = 1\n\t\tv[963,1] = 1\n\t\tv[964,1] = 3\n\t\tv[965,1] = 1\n\t\tv[966,1] = 3\n\t\tv[967,1] = 3\n\t\tv[968,1] = 3\n\t\tv[969,1] = 3\n\t\tv[970,1] = 3\n\t\tv[971,1] = 1\n\t\tv[972,1] = 3\n\t\tv[973,1] = 1\n\t\tv[974,1] = 1\n\t\tv[975,1] = 3\n\t\tv[976,1] = 3\n\t\tv[977,1] = 3\n\t\tv[978,1] = 3\n\t\tv[979,1] = 1\n\t\tv[980,1] = 3\n\t\tv[981,1] = 1\n\t\tv[982,1] = 1\n\t\tv[983,1] = 3\n\t\tv[984,1] = 3\n\t\tv[985,1] = 3\n\t\tv[986,1] = 3\n\t\tv[987,1] = 3\n\t\tv[988,1] = 3\n\t\tv[989,1] = 1\n\t\tv[990,1] = 1\n\t\tv[991,1] = 3\n\t\tv[992,1] = 1\n\t\tv[993,1] = 3\n\t\tv[994,1] = 1\n\t\tv[995,1] = 1\n\t\tv[996,1] = 3\n\t\tv[997,1] = 1\n\t\tv[998,1] = 1\n\t\tv[999,1] = 1\n\t\tv[1000,1] = 1\n\t\tv[1001,1] = 3\n\t\tv[1002,1] = 3\n\t\tv[1003,1] = 1\n\t\tv[1004,1] = 1\n\t\tv[1005,1] = 3\n\t\tv[1006,1] = 1\n\t\tv[1007,1] = 1\n\t\tv[1008,1] = 1\n\t\tv[1009,1] = 3\n\t\tv[1010,1] = 1\n\t\tv[1011,1] = 3\n\t\tv[1012,1] = 1\n\t\tv[1013,1] = 1\n\t\tv[1014,1] = 3\n\t\tv[1015,1] = 3\n\t\tv[1016,1] = 1\n\t\tv[1017,1] = 3\n\t\tv[1018,1] = 1\n\t\tv[1019,1] = 1\n\t\tv[1020,1] = 3\n\t\tv[1021,1] = 3\n\t\tv[1022,1] = 3\n\t\tv[1023,1] = 3\n\t\tv[1024,1] = 3\n\t\tv[1025,1] = 1\n\t\tv[1026,1] = 3\n\t\tv[1027,1] = 1\n\t\tv[1028,1] = 1\n\t\tv[1029,1] = 1\n\t\tv[1030,1] = 3\n\t\tv[1031,1] = 1\n\t\tv[1032,1] = 1\n\t\tv[1033,1] = 1\n\t\tv[1034,1] = 3\n\t\tv[1035,1] = 1\n\t\tv[1036,1] = 1\n\t\tv[1037,1] = 3\n\t\tv[1038,1] = 1\n\t\tv[1039,1] = 3\n\t\tv[1040,1] = 3\n\t\tv[1041,1] = 3\n\t\tv[1042,1] = 3\n\t\tv[1043,1] = 3\n\t\tv[1044,1] = 1\n\t\tv[1045,1] = 1\n\t\tv[1046,1] = 1\n\t\tv[1047,1] = 3\n\t\tv[1048,1] = 3\n\t\tv[1049,1] = 3\n\t\tv[1050,1] = 3\n\t\tv[1051,1] = 1\n\t\tv[1052,1] = 3\n\t\tv[1053,1] = 3\n\t\tv[1054,1] = 3\n\t\tv[1055,1] = 3\n\t\tv[1056,1] = 1\n\t\tv[1057,1] = 1\n\t\tv[1058,1] = 3\n\t\tv[1059,1] = 3\n\t\tv[1060,1] = 3\n\t\tv[1061,1] = 1\n\t\tv[1062,1] = 3\n\t\tv[1063,1] = 1\n\t\tv[1064,1] = 1\n\t\tv[1065,1] = 3\n\t\tv[1066,1] = 3\n\t\tv[1067,1] = 1\n\t\tv[1068,1] = 3\n\t\tv[1069,1] = 3\n\t\tv[1070,1] = 1\n\t\tv[1071,1] = 1\n\t\tv[1072,1] = 1\n\t\tv[1073,1] = 1\n\t\tv[1074,1] = 1\n\t\tv[1075,1] = 3\n\t\tv[1076,1] = 1\n\t\tv[1077,1] = 1\n\t\tv[1078,1] = 3\n\t\tv[1079,1] = 3\n\t\tv[1080,1] = 1\n\t\tv[1081,1] = 1\n\t\tv[1082,1] = 1\n\t\tv[1083,1] = 3\n\t\tv[1084,1] = 1\n\t\tv[1085,1] = 1\n\t\tv[1086,1] = 3\n\t\tv[1087,1] = 3\n\t\tv[1088,1] = 1\n\t\tv[1089,1] = 3\n\t\tv[1090,1] = 3\n\t\tv[1091,1] = 3\n\t\tv[1092,1] = 3\n\t\tv[1093,1] = 3\n\t\tv[1094,1] = 3\n\t\tv[1095,1] = 3\n\t\tv[1096,1] = 3\n\t\tv[1097,1] = 1\n\t\tv[1098,1] = 1\n\t\tv[1099,1] = 3\n\t\tv[1100,1] = 3\n\t\tv[1101,1] = 1\n\t\tv[1102,1] = 1\n\t\tv[1103,1] = 3\n\t\tv[1104,1] = 1\n\t\tv[1105,1] = 3\n\t\tv[1106,1] = 3\n\t\tv[1107,1] = 3\n\t\tv[1108,1] = 3\n\t\tv[1109,1] = 3\n\t\tv[1110,1] = 1\n\n\t\tv[3,2] = 7\n\t\tv[4,2] = 5\n\t\tv[5,2] = 1\n\t\tv[6,2] = 3\n\t\tv[7,2] = 3\n\t\tv[8,2] = 7\n\t\tv[9,2] = 5\n\t\tv[10,2] = 5\n\t\tv[11,2] = 7\n\t\tv[12,2] = 7\n\t\tv[13,2] = 1\n\t\tv[14,2] = 3\n\t\tv[15,2] = 3\n\t\tv[16,2] = 7\n\t\tv[17,2] = 5\n\t\tv[18,2] = 1\n\t\tv[19,2] = 1\n\t\tv[20,2] = 5\n\t\tv[21,2] = 3\n\t\tv[22,2] = 7\n\t\tv[23,2] = 1\n\t\tv[24,2] = 7\n\t\tv[25,2] = 5\n\t\tv[26,2] = 1\n\t\tv[27,2] = 3\n\t\tv[28,2] = 7\n\t\tv[29,2] = 7\n\t\tv[30,2] = 1\n\t\tv[31,2] = 1\n\t\tv[32,2] = 1\n\t\tv[33,2] = 5\n\t\tv[34,2] = 7\n\t\tv[35,2] = 7\n\t\tv[36,2] = 5\n\t\tv[37,2] = 1\n\t\tv[38,2] = 3\n\t\tv[39,2] = 3\n\t\tv[40,2] = 7\n\t\tv[41,2] = 5\n\t\tv[42,2] = 5\n\t\tv[43,2] = 5\n\t\tv[44,2] = 3\n\t\tv[45,2] = 3\n\t\tv[46,2] = 3\n\t\tv[47,2] = 1\n\t\tv[48,2] = 1\n\t\tv[49,2] = 5\n\t\tv[50,2] = 1\n\t\tv[51,2] = 1\n\t\tv[52,2] = 5\n\t\tv[53,2] = 3\n\t\tv[54,2] = 3\n\t\tv[55,2] = 3\n\t\tv[56,2] = 3\n\t\tv[57,2] = 1\n\t\tv[58,2] = 3\n\t\tv[59,2] = 7\n\t\tv[60,2] = 5\n\t\tv[61,2] = 7\n\t\tv[62,2] = 3\n\t\tv[63,2] = 7\n\t\tv[64,2] = 1\n\t\tv[65,2] = 3\n\t\tv[66,2] = 3\n\t\tv[67,2] = 5\n\t\tv[68,2] = 1\n\t\tv[69,2] = 3\n\t\tv[70,2] = 5\n\t\tv[71,2] = 5\n\t\tv[72,2] = 7\n\t\tv[73,2] = 7\n\t\tv[74,2] = 7\n\t\tv[75,2] = 1\n\t\tv[76,2] = 1\n\t\tv[77,2] = 3\n\t\tv[78,2] = 3\n\t\tv[79,2] = 1\n\t\tv[80,2] = 1\n\t\tv[81,2] = 5\n\t\tv[82,2] = 1\n\t\tv[83,2] = 5\n\t\tv[84,2] = 7\n\t\tv[85,2] = 5\n\t\tv[86,2] = 1\n\t\tv[87,2] = 7\n\t\tv[88,2] = 5\n\t\tv[89,2] = 3\n\t\tv[90,2] = 3\n\t\tv[91,2] = 1\n\t\tv[92,2] = 5\n\t\tv[93,2] = 7\n\t\tv[94,2] = 1\n\t\tv[95,2] = 7\n\t\tv[96,2] = 5\n\t\tv[97,2] = 1\n\t\tv[98,2] = 7\n\t\tv[99,2] = 3\n\t\tv[100,2] = 1\n\t\tv[101,2] = 7\n\t\tv[102,2] = 1\n\t\tv[103,2] = 7\n\t\tv[104,2] = 3\n\t\tv[105,2] = 3\n\t\tv[106,2] = 5\n\t\tv[107,2] = 7\n\t\tv[108,2] = 3\n\t\tv[109,2] = 3\n\t\tv[110,2] = 5\n\t\tv[111,2] = 1\n\t\tv[112,2] = 3\n\t\tv[113,2] = 3\n\t\tv[114,2] = 1\n\t\tv[115,2] = 3\n\t\tv[116,2] = 5\n\t\tv[117,2] = 1\n\t\tv[118,2] = 3\n\t\tv[119,2] = 3\n\t\tv[120,2] = 3\n\t\tv[121,2] = 7\n\t\tv[122,2] = 1\n\t\tv[123,2] = 1\n\t\tv[124,2] = 7\n\t\tv[125,2] = 3\n\t\tv[126,2] = 1\n\t\tv[127,2] = 3\n\t\tv[128,2] = 7\n\t\tv[129,2] = 5\n\t\tv[130,2] = 5\n\t\tv[131,2] = 7\n\t\tv[132,2] = 5\n\t\tv[133,2] = 5\n\t\tv[134,2] = 3\n\t\tv[135,2] = 1\n\t\tv[136,2] = 3\n\t\tv[137,2] = 3\n\t\tv[138,2] = 3\n\t\tv[139,2] = 1\n\t\tv[140,2] = 3\n\t\tv[141,2] = 3\n\t\tv[142,2] = 7\n\t\tv[143,2] = 3\n\t\tv[144,2] = 3\n\t\tv[145,2] = 1\n\t\tv[146,2] = 7\n\t\tv[147,2] = 5\n\t\tv[148,2] = 1\n\t\tv[149,2] = 7\n\t\tv[150,2] = 7\n\t\tv[151,2] = 5\n\t\tv[152,2] = 7\n\t\tv[153,2] = 5\n\t\tv[154,2] = 1\n\t\tv[155,2] = 3\n\t\tv[156,2] = 1\n\t\tv[157,2] = 7\n\t\tv[158,2] = 3\n\t\tv[159,2] = 7\n\t\tv[160,2] = 3\n\t\tv[161,2] = 5\n\t\tv[162,2] = 7\n\t\tv[163,2] = 3\n\t\tv[164,2] = 1\n\t\tv[165,2] = 3\n\t\tv[166,2] = 3\n\t\tv[167,2] = 3\n\t\tv[168,2] = 1\n\t\tv[169,2] = 5\n\t\tv[170,2] = 7\n\t\tv[171,2] = 3\n\t\tv[172,2] = 3\n\t\tv[173,2] = 7\n\t\tv[174,2] = 7\n\t\tv[175,2] = 7\n\t\tv[176,2] = 5\n\t\tv[177,2] = 3\n\t\tv[178,2] = 1\n\t\tv[179,2] = 7\n\t\tv[180,2] = 1\n\t\tv[181,2] = 3\n\t\tv[182,2] = 7\n\t\tv[183,2] = 5\n\t\tv[184,2] = 3\n\t\tv[185,2] = 3\n\t\tv[186,2] = 3\n\t\tv[187,2] = 7\n\t\tv[188,2] = 1\n\t\tv[189,2] = 1\n\t\tv[190,2] = 3\n\t\tv[191,2] = 1\n\t\tv[192,2] = 5\n\t\tv[193,2] = 7\n\t\tv[194,2] = 1\n\t\tv[195,2] = 3\n\t\tv[196,2] = 5\n\t\tv[197,2] = 3\n\t\tv[198,2] = 5\n\t\tv[199,2] = 3\n\t\tv[200,2] = 3\n\t\tv[201,2] = 7\n\t\tv[202,2] = 5\n\t\tv[203,2] = 5\n\t\tv[204,2] = 3\n\t\tv[205,2] = 3\n\t\tv[206,2] = 1\n\t\tv[207,2] = 3\n\t\tv[208,2] = 7\n\t\tv[209,2] = 7\n\t\tv[210,2] = 7\n\t\tv[211,2] = 1\n\t\tv[212,2] = 5\n\t\tv[213,2] = 7\n\t\tv[214,2] = 1\n\t\tv[215,2] = 3\n\t\tv[216,2] = 1\n\t\tv[217,2] = 1\n\t\tv[218,2] = 7\n\t\tv[219,2] = 1\n\t\tv[220,2] = 3\n\t\tv[221,2] = 1\n\t\tv[222,2] = 7\n\t\tv[223,2] = 1\n\t\tv[224,2] = 5\n\t\tv[225,2] = 3\n\t\tv[226,2] = 5\n\t\tv[227,2] = 3\n\t\tv[228,2] = 1\n\t\tv[229,2] = 1\n\t\tv[230,2] = 5\n\t\tv[231,2] = 5\n\t\tv[232,2] = 3\n\t\tv[233,2] = 3\n\t\tv[234,2] = 5\n\t\tv[235,2] = 7\n\t\tv[236,2] = 1\n\t\tv[237,2] = 5\n\t\tv[238,2] = 3\n\t\tv[239,2] = 7\n\t\tv[240,2] = 7\n\t\tv[241,2] = 3\n\t\tv[242,2] = 5\n\t\tv[243,2] = 3\n\t\tv[244,2] = 3\n\t\tv[245,2] = 1\n\t\tv[246,2] = 7\n\t\tv[247,2] = 3\n\t\tv[248,2] = 1\n\t\tv[249,2] = 3\n\t\tv[250,2] = 5\n\t\tv[251,2] = 7\n\t\tv[252,2] = 1\n\t\tv[253,2] = 3\n\t\tv[254,2] = 7\n\t\tv[255,2] = 1\n\t\tv[256,2] = 5\n\t\tv[257,2] = 1\n\t\tv[258,2] = 3\n\t\tv[259,2] = 1\n\t\tv[260,2] = 5\n\t\tv[261,2] = 3\n\t\tv[262,2] = 1\n\t\tv[263,2] = 7\n\t\tv[264,2] = 1\n\t\tv[265,2] = 5\n\t\tv[266,2] = 5\n\t\tv[267,2] = 5\n\t\tv[268,2] = 3\n\t\tv[269,2] = 7\n\t\tv[270,2] = 1\n\t\tv[271,2] = 1\n\t\tv[272,2] = 7\n\t\tv[273,2] = 3\n\t\tv[274,2] = 1\n\t\tv[275,2] = 1\n\t\tv[276,2] = 7\n\t\tv[277,2] = 5\n\t\tv[278,2] = 7\n\t\tv[279,2] = 5\n\t\tv[280,2] = 7\n\t\tv[281,2] = 7\n\t\tv[282,2] = 3\n\t\tv[283,2] = 7\n\t\tv[284,2] = 1\n\t\tv[285,2] = 3\n\t\tv[286,2] = 7\n\t\tv[287,2] = 7\n\t\tv[288,2] = 3\n\t\tv[289,2] = 5\n\t\tv[290,2] = 1\n\t\tv[291,2] = 1\n\t\tv[292,2] = 7\n\t\tv[293,2] = 1\n\t\tv[294,2] = 5\n\t\tv[295,2] = 5\n\t\tv[296,2] = 5\n\t\tv[297,2] = 1\n\t\tv[298,2] = 5\n\t\tv[299,2] = 1\n\t\tv[300,2] = 7\n\t\tv[301,2] = 5\n\t\tv[302,2] = 5\n\t\tv[303,2] = 7\n\t\tv[304,2] = 1\n\t\tv[305,2] = 1\n\t\tv[306,2] = 7\n\t\tv[307,2] = 1\n\t\tv[308,2] = 7\n\t\tv[309,2] = 7\n\t\tv[310,2] = 1\n\t\tv[311,2] = 1\n\t\tv[312,2] = 3\n\t\tv[313,2] = 3\n\t\tv[314,2] = 3\n\t\tv[315,2] = 7\n\t\tv[316,2] = 7\n\t\tv[317,2] = 5\n\t\tv[318,2] = 3\n\t\tv[319,2] = 7\n\t\tv[320,2] = 3\n\t\tv[321,2] = 1\n\t\tv[322,2] = 3\n\t\tv[323,2] = 7\n\t\tv[324,2] = 5\n\t\tv[325,2] = 3\n\t\tv[326,2] = 3\n\t\tv[327,2] = 5\n\t\tv[328,2] = 7\n\t\tv[329,2] = 1\n\t\tv[330,2] = 1\n\t\tv[331,2] = 5\n\t\tv[332,2] = 5\n\t\tv[333,2] = 7\n\t\tv[334,2] = 7\n\t\tv[335,2] = 1\n\t\tv[336,2] = 1\n\t\tv[337,2] = 1\n\t\tv[338,2] = 1\n\t\tv[339,2] = 5\n\t\tv[340,2] = 5\n\t\tv[341,2] = 5\n\t\tv[342,2] = 7\n\t\tv[343,2] = 5\n\t\tv[344,2] = 7\n\t\tv[345,2] = 1\n\t\tv[346,2] = 1\n\t\tv[347,2] = 3\n\t\tv[348,2] = 5\n\t\tv[349,2] = 1\n\t\tv[350,2] = 3\n\t\tv[351,2] = 3\n\t\tv[352,2] = 7\n\t\tv[353,2] = 3\n\t\tv[354,2] = 7\n\t\tv[355,2] = 5\n\t\tv[356,2] = 3\n\t\tv[357,2] = 5\n\t\tv[358,2] = 3\n\t\tv[359,2] = 1\n\t\tv[360,2] = 7\n\t\tv[361,2] = 1\n\t\tv[362,2] = 7\n\t\tv[363,2] = 7\n\t\tv[364,2] = 1\n\t\tv[365,2] = 1\n\t\tv[366,2] = 7\n\t\tv[367,2] = 7\n\t\tv[368,2] = 7\n\t\tv[369,2] = 5\n\t\tv[370,2] = 5\n\t\tv[371,2] = 1\n\t\tv[372,2] = 1\n\t\tv[373,2] = 7\n\t\tv[374,2] = 5\n\t\tv[375,2] = 5\n\t\tv[376,2] = 7\n\t\tv[377,2] = 5\n\t\tv[378,2] = 1\n\t\tv[379,2] = 1\n\t\tv[380,2] = 5\n\t\tv[381,2] = 5\n\t\tv[382,2] = 5\n\t\tv[383,2] = 5\n\t\tv[384,2] = 5\n\t\tv[385,2] = 5\n\t\tv[386,2] = 1\n\t\tv[387,2] = 3\n\t\tv[388,2] = 1\n\t\tv[389,2] = 5\n\t\tv[390,2] = 7\n\t\tv[391,2] = 3\n\t\tv[392,2] = 3\n\t\tv[393,2] = 5\n\t\tv[394,2] = 7\n\t\tv[395,2] = 3\n\t\tv[396,2] = 7\n\t\tv[397,2] = 1\n\t\tv[398,2] = 7\n\t\tv[399,2] = 7\n\t\tv[400,2] = 1\n\t\tv[401,2] = 3\n\t\tv[402,2] = 5\n\t\tv[403,2] = 1\n\t\tv[404,2] = 5\n\t\tv[405,2] = 5\n\t\tv[406,2] = 3\n\t\tv[407,2] = 7\n\t\tv[408,2] = 3\n\t\tv[409,2] = 7\n\t\tv[410,2] = 7\n\t\tv[411,2] = 5\n\t\tv[412,2] = 7\n\t\tv[413,2] = 5\n\t\tv[414,2] = 7\n\t\tv[415,2] = 1\n\t\tv[416,2] = 1\n\t\tv[417,2] = 5\n\t\tv[418,2] = 3\n\t\tv[419,2] = 5\n\t\tv[420,2] = 1\n\t\tv[421,2] = 5\n\t\tv[422,2] = 3\n\t\tv[423,2] = 7\n\t\tv[424,2] = 1\n\t\tv[425,2] = 5\n\t\tv[426,2] = 7\n\t\tv[427,2] = 7\n\t\tv[428,2] = 3\n\t\tv[429,2] = 5\n\t\tv[430,2] = 1\n\t\tv[431,2] = 3\n\t\tv[432,2] = 5\n\t\tv[433,2] = 1\n\t\tv[434,2] = 5\n\t\tv[435,2] = 3\n\t\tv[436,2] = 3\n\t\tv[437,2] = 3\n\t\tv[438,2] = 7\n\t\tv[439,2] = 3\n\t\tv[440,2] = 5\n\t\tv[441,2] = 1\n\t\tv[442,2] = 3\n\t\tv[443,2] = 7\n\t\tv[444,2] = 7\n\t\tv[445,2] = 3\n\t\tv[446,2] = 7\n\t\tv[447,2] = 5\n\t\tv[448,2] = 3\n\t\tv[449,2] = 3\n\t\tv[450,2] = 1\n\t\tv[451,2] = 7\n\t\tv[452,2] = 5\n\t\tv[453,2] = 1\n\t\tv[454,2] = 1\n\t\tv[455,2] = 3\n\t\tv[456,2] = 7\n\t\tv[457,2] = 1\n\t\tv[458,2] = 7\n\t\tv[459,2] = 1\n\t\tv[460,2] = 7\n\t\tv[461,2] = 3\n\t\tv[462,2] = 7\n\t\tv[463,2] = 3\n\t\tv[464,2] = 5\n\t\tv[465,2] = 7\n\t\tv[466,2] = 3\n\t\tv[467,2] = 5\n\t\tv[468,2] = 3\n\t\tv[469,2] = 1\n\t\tv[470,2] = 1\n\t\tv[471,2] = 1\n\t\tv[472,2] = 5\n\t\tv[473,2] = 7\n\t\tv[474,2] = 7\n\t\tv[475,2] = 3\n\t\tv[476,2] = 3\n\t\tv[477,2] = 1\n\t\tv[478,2] = 1\n\t\tv[479,2] = 1\n\t\tv[480,2] = 5\n\t\tv[481,2] = 5\n\t\tv[482,2] = 7\n\t\tv[483,2] = 3\n\t\tv[484,2] = 1\n\t\tv[485,2] = 1\n\t\tv[486,2] = 3\n\t\tv[487,2] = 3\n\t\tv[488,2] = 7\n\t\tv[489,2] = 3\n\t\tv[490,2] = 3\n\t\tv[491,2] = 5\n\t\tv[492,2] = 1\n\t\tv[493,2] = 3\n\t\tv[494,2] = 7\n\t\tv[495,2] = 3\n\t\tv[496,2] = 3\n\t\tv[497,2] = 7\n\t\tv[498,2] = 3\n\t\tv[499,2] = 5\n\t\tv[500,2] = 7\n\t\tv[501,2] = 5\n\t\tv[502,2] = 7\n\t\tv[503,2] = 7\n\t\tv[504,2] = 3\n\t\tv[505,2] = 3\n\t\tv[506,2] = 5\n\t\tv[507,2] = 1\n\t\tv[508,2] = 3\n\t\tv[509,2] = 5\n\t\tv[510,2] = 3\n\t\tv[511,2] = 1\n\t\tv[512,2] = 3\n\t\tv[513,2] = 5\n\t\tv[514,2] = 1\n\t\tv[515,2] = 1\n\t\tv[516,2] = 3\n\t\tv[517,2] = 7\n\t\tv[518,2] = 7\n\t\tv[519,2] = 1\n\t\tv[520,2] = 5\n\t\tv[521,2] = 1\n\t\tv[522,2] = 3\n\t\tv[523,2] = 7\n\t\tv[524,2] = 3\n\t\tv[525,2] = 7\n\t\tv[526,2] = 3\n\t\tv[527,2] = 5\n\t\tv[528,2] = 1\n\t\tv[529,2] = 7\n\t\tv[530,2] = 1\n\t\tv[531,2] = 1\n\t\tv[532,2] = 3\n\t\tv[533,2] = 5\n\t\tv[534,2] = 3\n\t\tv[535,2] = 7\n\t\tv[536,2] = 1\n\t\tv[537,2] = 5\n\t\tv[538,2] = 5\n\t\tv[539,2] = 1\n\t\tv[540,2] = 1\n\t\tv[541,2] = 3\n\t\tv[542,2] = 1\n\t\tv[543,2] = 3\n\t\tv[544,2] = 3\n\t\tv[545,2] = 7\n\t\tv[546,2] = 1\n\t\tv[547,2] = 7\n\t\tv[548,2] = 3\n\t\tv[549,2] = 1\n\t\tv[550,2] = 7\n\t\tv[551,2] = 3\n\t\tv[552,2] = 1\n\t\tv[553,2] = 7\n\t\tv[554,2] = 3\n\t\tv[555,2] = 5\n\t\tv[556,2] = 3\n\t\tv[557,2] = 5\n\t\tv[558,2] = 7\n\t\tv[559,2] = 3\n\t\tv[560,2] = 3\n\t\tv[561,2] = 3\n\t\tv[562,2] = 5\n\t\tv[563,2] = 1\n\t\tv[564,2] = 7\n\t\tv[565,2] = 7\n\t\tv[566,2] = 1\n\t\tv[567,2] = 3\n\t\tv[568,2] = 1\n\t\tv[569,2] = 3\n\t\tv[570,2] = 7\n\t\tv[571,2] = 7\n\t\tv[572,2] = 1\n\t\tv[573,2] = 3\n\t\tv[574,2] = 7\n\t\tv[575,2] = 3\n\t\tv[576,2] = 1\n\t\tv[577,2] = 5\n\t\tv[578,2] = 3\n\t\tv[579,2] = 1\n\t\tv[580,2] = 1\n\t\tv[581,2] = 1\n\t\tv[582,2] = 5\n\t\tv[583,2] = 3\n\t\tv[584,2] = 3\n\t\tv[585,2] = 7\n\t\tv[586,2] = 1\n\t\tv[587,2] = 5\n\t\tv[588,2] = 3\n\t\tv[589,2] = 5\n\t\tv[590,2] = 1\n\t\tv[591,2] = 3\n\t\tv[592,2] = 1\n\t\tv[593,2] = 3\n\t\tv[594,2] = 1\n\t\tv[595,2] = 5\n\t\tv[596,2] = 7\n\t\tv[597,2] = 7\n\t\tv[598,2] = 1\n\t\tv[599,2] = 1\n\t\tv[600,2] = 5\n\t\tv[601,2] = 3\n\t\tv[602,2] = 1\n\t\tv[603,2] = 5\n\t\tv[604,2] = 1\n\t\tv[605,2] = 1\n\t\tv[606,2] = 7\n\t\tv[607,2] = 7\n\t\tv[608,2] = 3\n\t\tv[609,2] = 5\n\t\tv[610,2] = 5\n\t\tv[611,2] = 1\n\t\tv[612,2] = 7\n\t\tv[613,2] = 1\n\t\tv[614,2] = 5\n\t\tv[615,2] = 1\n\t\tv[616,2] = 1\n\t\tv[617,2] = 3\n\t\tv[618,2] = 1\n\t\tv[619,2] = 5\n\t\tv[620,2] = 7\n\t\tv[621,2] = 5\n\t\tv[622,2] = 7\n\t\tv[623,2] = 7\n\t\tv[624,2] = 1\n\t\tv[625,2] = 5\n\t\tv[626,2] = 1\n\t\tv[627,2] = 1\n\t\tv[628,2] = 3\n\t\tv[629,2] = 5\n\t\tv[630,2] = 1\n\t\tv[631,2] = 5\n\t\tv[632,2] = 5\n\t\tv[633,2] = 3\n\t\tv[634,2] = 1\n\t\tv[635,2] = 3\n\t\tv[636,2] = 1\n\t\tv[637,2] = 5\n\t\tv[638,2] = 5\n\t\tv[639,2] = 3\n\t\tv[640,2] = 3\n\t\tv[641,2] = 3\n\t\tv[642,2] = 3\n\t\tv[643,2] = 1\n\t\tv[644,2] = 1\n\t\tv[645,2] = 3\n\t\tv[646,2] = 1\n\t\tv[647,2] = 3\n\t\tv[648,2] = 5\n\t\tv[649,2] = 5\n\t\tv[650,2] = 7\n\t\tv[651,2] = 5\n\t\tv[652,2] = 5\n\t\tv[653,2] = 7\n\t\tv[654,2] = 5\n\t\tv[655,2] = 7\n\t\tv[656,2] = 1\n\t\tv[657,2] = 3\n\t\tv[658,2] = 7\n\t\tv[659,2] = 7\n\t\tv[660,2] = 3\n\t\tv[661,2] = 5\n\t\tv[662,2] = 5\n\t\tv[663,2] = 7\n\t\tv[664,2] = 5\n\t\tv[665,2] = 5\n\t\tv[666,2] = 3\n\t\tv[667,2] = 3\n\t\tv[668,2] = 3\n\t\tv[669,2] = 1\n\t\tv[670,2] = 7\n\t\tv[671,2] = 1\n\t\tv[672,2] = 5\n\t\tv[673,2] = 5\n\t\tv[674,2] = 5\n\t\tv[675,2] = 3\n\t\tv[676,2] = 3\n\t\tv[677,2] = 5\n\t\tv[678,2] = 1\n\t\tv[679,2] = 3\n\t\tv[680,2] = 1\n\t\tv[681,2] = 3\n\t\tv[682,2] = 3\n\t\tv[683,2] = 3\n\t\tv[684,2] = 7\n\t\tv[685,2] = 1\n\t\tv[686,2] = 7\n\t\tv[687,2] = 7\n\t\tv[688,2] = 3\n\t\tv[689,2] = 7\n\t\tv[690,2] = 1\n\t\tv[691,2] = 1\n\t\tv[692,2] = 5\n\t\tv[693,2] = 7\n\t\tv[694,2] = 1\n\t\tv[695,2] = 7\n\t\tv[696,2] = 1\n\t\tv[697,2] = 7\n\t\tv[698,2] = 7\n\t\tv[699,2] = 1\n\t\tv[700,2] = 3\n\t\tv[701,2] = 7\n\t\tv[702,2] = 5\n\t\tv[703,2] = 1\n\t\tv[704,2] = 3\n\t\tv[705,2] = 5\n\t\tv[706,2] = 5\n\t\tv[707,2] = 5\n\t\tv[708,2] = 1\n\t\tv[709,2] = 1\n\t\tv[710,2] = 7\n\t\tv[711,2] = 1\n\t\tv[712,2] = 7\n\t\tv[713,2] = 1\n\t\tv[714,2] = 7\n\t\tv[715,2] = 7\n\t\tv[716,2] = 3\n\t\tv[717,2] = 1\n\t\tv[718,2] = 1\n\t\tv[719,2] = 5\n\t\tv[720,2] = 1\n\t\tv[721,2] = 5\n\t\tv[722,2] = 1\n\t\tv[723,2] = 5\n\t\tv[724,2] = 3\n\t\tv[725,2] = 5\n\t\tv[726,2] = 5\n\t\tv[727,2] = 5\n\t\tv[728,2] = 5\n\t\tv[729,2] = 5\n\t\tv[730,2] = 3\n\t\tv[731,2] = 3\n\t\tv[732,2] = 7\n\t\tv[733,2] = 3\n\t\tv[734,2] = 3\n\t\tv[735,2] = 5\n\t\tv[736,2] = 5\n\t\tv[737,2] = 3\n\t\tv[738,2] = 7\n\t\tv[739,2] = 1\n\t\tv[740,2] = 5\n\t\tv[741,2] = 7\n\t\tv[742,2] = 5\n\t\tv[743,2] = 1\n\t\tv[744,2] = 5\n\t\tv[745,2] = 5\n\t\tv[746,2] = 3\n\t\tv[747,2] = 5\n\t\tv[748,2] = 5\n\t\tv[749,2] = 7\n\t\tv[750,2] = 5\n\t\tv[751,2] = 3\n\t\tv[752,2] = 5\n\t\tv[753,2] = 5\n\t\tv[754,2] = 5\n\t\tv[755,2] = 1\n\t\tv[756,2] = 5\n\t\tv[757,2] = 5\n\t\tv[758,2] = 5\n\t\tv[759,2] = 5\n\t\tv[760,2] = 1\n\t\tv[761,2] = 3\n\t\tv[762,2] = 5\n\t\tv[763,2] = 3\n\t\tv[764,2] = 1\n\t\tv[765,2] = 7\n\t\tv[766,2] = 5\n\t\tv[767,2] = 5\n\t\tv[768,2] = 7\n\t\tv[769,2] = 1\n\t\tv[770,2] = 5\n\t\tv[771,2] = 3\n\t\tv[772,2] = 3\n\t\tv[773,2] = 1\n\t\tv[774,2] = 5\n\t\tv[775,2] = 3\n\t\tv[776,2] = 7\n\t\tv[777,2] = 1\n\t\tv[778,2] = 7\n\t\tv[779,2] = 5\n\t\tv[780,2] = 1\n\t\tv[781,2] = 1\n\t\tv[782,2] = 3\n\t\tv[783,2] = 1\n\t\tv[784,2] = 1\n\t\tv[785,2] = 7\n\t\tv[786,2] = 1\n\t\tv[787,2] = 5\n\t\tv[788,2] = 5\n\t\tv[789,2] = 3\n\t\tv[790,2] = 7\n\t\tv[791,2] = 3\n\t\tv[792,2] = 7\n\t\tv[793,2] = 5\n\t\tv[794,2] = 3\n\t\tv[795,2] = 1\n\t\tv[796,2] = 1\n\t\tv[797,2] = 3\n\t\tv[798,2] = 1\n\t\tv[799,2] = 3\n\t\tv[800,2] = 5\n\t\tv[801,2] = 5\n\t\tv[802,2] = 7\n\t\tv[803,2] = 5\n\t\tv[804,2] = 3\n\t\tv[805,2] = 7\n\t\tv[806,2] = 7\n\t\tv[807,2] = 7\n\t\tv[808,2] = 3\n\t\tv[809,2] = 7\n\t\tv[810,2] = 3\n\t\tv[811,2] = 7\n\t\tv[812,2] = 1\n\t\tv[813,2] = 3\n\t\tv[814,2] = 1\n\t\tv[815,2] = 7\n\t\tv[816,2] = 7\n\t\tv[817,2] = 1\n\t\tv[818,2] = 7\n\t\tv[819,2] = 3\n\t\tv[820,2] = 7\n\t\tv[821,2] = 3\n\t\tv[822,2] = 7\n\t\tv[823,2] = 3\n\t\tv[824,2] = 7\n\t\tv[825,2] = 3\n\t\tv[826,2] = 5\n\t\tv[827,2] = 1\n\t\tv[828,2] = 1\n\t\tv[829,2] = 7\n\t\tv[830,2] = 3\n\t\tv[831,2] = 1\n\t\tv[832,2] = 5\n\t\tv[833,2] = 5\n\t\tv[834,2] = 7\n\t\tv[835,2] = 1\n\t\tv[836,2] = 5\n\t\tv[837,2] = 5\n\t\tv[838,2] = 5\n\t\tv[839,2] = 7\n\t\tv[840,2] = 1\n\t\tv[841,2] = 5\n\t\tv[842,2] = 5\n\t\tv[843,2] = 1\n\t\tv[844,2] = 5\n\t\tv[845,2] = 5\n\t\tv[846,2] = 3\n\t\tv[847,2] = 1\n\t\tv[848,2] = 3\n\t\tv[849,2] = 1\n\t\tv[850,2] = 7\n\t\tv[851,2] = 3\n\t\tv[852,2] = 1\n\t\tv[853,2] = 3\n\t\tv[854,2] = 5\n\t\tv[855,2] = 7\n\t\tv[856,2] = 7\n\t\tv[857,2] = 7\n\t\tv[858,2] = 1\n\t\tv[859,2] = 1\n\t\tv[860,2] = 7\n\t\tv[861,2] = 3\n\t\tv[862,2] = 1\n\t\tv[863,2] = 5\n\t\tv[864,2] = 5\n\t\tv[865,2] = 5\n\t\tv[866,2] = 1\n\t\tv[867,2] = 1\n\t\tv[868,2] = 1\n\t\tv[869,2] = 1\n\t\tv[870,2] = 1\n\t\tv[871,2] = 5\n\t\tv[872,2] = 3\n\t\tv[873,2] = 5\n\t\tv[874,2] = 1\n\t\tv[875,2] = 3\n\t\tv[876,2] = 5\n\t\tv[877,2] = 3\n\t\tv[878,2] = 1\n\t\tv[879,2] = 1\n\t\tv[880,2] = 1\n\t\tv[881,2] = 1\n\t\tv[882,2] = 3\n\t\tv[883,2] = 7\n\t\tv[884,2] = 3\n\t\tv[885,2] = 7\n\t\tv[886,2] = 5\n\t\tv[887,2] = 7\n\t\tv[888,2] = 1\n\t\tv[889,2] = 5\n\t\tv[890,2] = 5\n\t\tv[891,2] = 7\n\t\tv[892,2] = 5\n\t\tv[893,2] = 3\n\t\tv[894,2] = 3\n\t\tv[895,2] = 7\n\t\tv[896,2] = 5\n\t\tv[897,2] = 3\n\t\tv[898,2] = 1\n\t\tv[899,2] = 1\n\t\tv[900,2] = 3\n\t\tv[901,2] = 1\n\t\tv[902,2] = 3\n\t\tv[903,2] = 1\n\t\tv[904,2] = 1\n\t\tv[905,2] = 3\n\t\tv[906,2] = 7\n\t\tv[907,2] = 1\n\t\tv[908,2] = 7\n\t\tv[909,2] = 1\n\t\tv[910,2] = 1\n\t\tv[911,2] = 5\n\t\tv[912,2] = 1\n\t\tv[913,2] = 7\n\t\tv[914,2] = 5\n\t\tv[915,2] = 3\n\t\tv[916,2] = 7\n\t\tv[917,2] = 3\n\t\tv[918,2] = 5\n\t\tv[919,2] = 3\n\t\tv[920,2] = 1\n\t\tv[921,2] = 1\n\t\tv[922,2] = 5\n\t\tv[923,2] = 5\n\t\tv[924,2] = 1\n\t\tv[925,2] = 7\n\t\tv[926,2] = 7\n\t\tv[927,2] = 3\n\t\tv[928,2] = 7\n\t\tv[929,2] = 3\n\t\tv[930,2] = 7\n\t\tv[931,2] = 1\n\t\tv[932,2] = 5\n\t\tv[933,2] = 1\n\t\tv[934,2] = 5\n\t\tv[935,2] = 3\n\t\tv[936,2] = 7\n\t\tv[937,2] = 3\n\t\tv[938,2] = 5\n\t\tv[939,2] = 7\n\t\tv[940,2] = 7\n\t\tv[941,2] = 7\n\t\tv[942,2] = 3\n\t\tv[943,2] = 3\n\t\tv[944,2] = 1\n\t\tv[945,2] = 1\n\t\tv[946,2] = 5\n\t\tv[947,2] = 5\n\t\tv[948,2] = 3\n\t\tv[949,2] = 7\n\t\tv[950,2] = 1\n\t\tv[951,2] = 1\n\t\tv[952,2] = 1\n\t\tv[953,2] = 3\n\t\tv[954,2] = 5\n\t\tv[955,2] = 3\n\t\tv[956,2] = 1\n\t\tv[957,2] = 1\n\t\tv[958,2] = 3\n\t\tv[959,2] = 3\n\t\tv[960,2] = 7\n\t\tv[961,2] = 5\n\t\tv[962,2] = 1\n\t\tv[963,2] = 1\n\t\tv[964,2] = 3\n\t\tv[965,2] = 7\n\t\tv[966,2] = 1\n\t\tv[967,2] = 5\n\t\tv[968,2] = 7\n\t\tv[969,2] = 3\n\t\tv[970,2] = 7\n\t\tv[971,2] = 5\n\t\tv[972,2] = 5\n\t\tv[973,2] = 7\n\t\tv[974,2] = 3\n\t\tv[975,2] = 5\n\t\tv[976,2] = 3\n\t\tv[977,2] = 1\n\t\tv[978,2] = 5\n\t\tv[979,2] = 3\n\t\tv[980,2] = 1\n\t\tv[981,2] = 1\n\t\tv[982,2] = 7\n\t\tv[983,2] = 5\n\t\tv[984,2] = 1\n\t\tv[985,2] = 7\n\t\tv[986,2] = 3\n\t\tv[987,2] = 7\n\t\tv[988,2] = 5\n\t\tv[989,2] = 1\n\t\tv[990,2] = 7\n\t\tv[991,2] = 1\n\t\tv[992,2] = 7\n\t\tv[993,2] = 7\n\t\tv[994,2] = 1\n\t\tv[995,2] = 1\n\t\tv[996,2] = 7\n\t\tv[997,2] = 1\n\t\tv[998,2] = 5\n\t\tv[999,2] = 5\n\t\tv[1000,2] = 1\n\t\tv[1001,2] = 1\n\t\tv[1002,2] = 7\n\t\tv[1003,2] = 5\n\t\tv[1004,2] = 7\n\t\tv[1005,2] = 1\n\t\tv[1006,2] = 5\n\t\tv[1007,2] = 3\n\t\tv[1008,2] = 5\n\t\tv[1009,2] = 3\n\t\tv[1010,2] = 3\n\t\tv[1011,2] = 7\n\t\tv[1012,2] = 1\n\t\tv[1013,2] = 5\n\t\tv[1014,2] = 1\n\t\tv[1015,2] = 1\n\t\tv[1016,2] = 5\n\t\tv[1017,2] = 5\n\t\tv[1018,2] = 3\n\t\tv[1019,2] = 3\n\t\tv[1020,2] = 7\n\t\tv[1021,2] = 5\n\t\tv[1022,2] = 5\n\t\tv[1023,2] = 1\n\t\tv[1024,2] = 1\n\t\tv[1025,2] = 1\n\t\tv[1026,2] = 3\n\t\tv[1027,2] = 1\n\t\tv[1028,2] = 5\n\t\tv[1029,2] = 7\n\t\tv[1030,2] = 7\n\t\tv[1031,2] = 1\n\t\tv[1032,2] = 7\n\t\tv[1033,2] = 5\n\t\tv[1034,2] = 7\n\t\tv[1035,2] = 3\n\t\tv[1036,2] = 7\n\t\tv[1037,2] = 3\n\t\tv[1038,2] = 1\n\t\tv[1039,2] = 3\n\t\tv[1040,2] = 7\n\t\tv[1041,2] = 3\n\t\tv[1042,2] = 1\n\t\tv[1043,2] = 5\n\t\tv[1044,2] = 5\n\t\tv[1045,2] = 3\n\t\tv[1046,2] = 5\n\t\tv[1047,2] = 1\n\t\tv[1048,2] = 3\n\t\tv[1049,2] = 5\n\t\tv[1050,2] = 5\n\t\tv[1051,2] = 5\n\t\tv[1052,2] = 1\n\t\tv[1053,2] = 1\n\t\tv[1054,2] = 7\n\t\tv[1055,2] = 7\n\t\tv[1056,2] = 1\n\t\tv[1057,2] = 5\n\t\tv[1058,2] = 5\n\t\tv[1059,2] = 1\n\t\tv[1060,2] = 3\n\t\tv[1061,2] = 5\n\t\tv[1062,2] = 1\n\t\tv[1063,2] = 5\n\t\tv[1064,2] = 3\n\t\tv[1065,2] = 5\n\t\tv[1066,2] = 3\n\t\tv[1067,2] = 3\n\t\tv[1068,2] = 7\n\t\tv[1069,2] = 5\n\t\tv[1070,2] = 7\n\t\tv[1071,2] = 3\n\t\tv[1072,2] = 7\n\t\tv[1073,2] = 3\n\t\tv[1074,2] = 1\n\t\tv[1075,2] = 3\n\t\tv[1076,2] = 7\n\t\tv[1077,2] = 7\n\t\tv[1078,2] = 3\n\t\tv[1079,2] = 3\n\t\tv[1080,2] = 1\n\t\tv[1081,2] = 1\n\t\tv[1082,2] = 3\n\t\tv[1083,2] = 3\n\t\tv[1084,2] = 3\n\t\tv[1085,2] = 3\n\t\tv[1086,2] = 3\n\t\tv[1087,2] = 5\n\t\tv[1088,2] = 5\n\t\tv[1089,2] = 3\n\t\tv[1090,2] = 3\n\t\tv[1091,2] = 3\n\t\tv[1092,2] = 1\n\t\tv[1093,2] = 3\n\t\tv[1094,2] = 5\n\t\tv[1095,2] = 7\n\t\tv[1096,2] = 7\n\t\tv[1097,2] = 1\n\t\tv[1098,2] = 5\n\t\tv[1099,2] = 7\n\t\tv[1100,2] = 3\n\t\tv[1101,2] = 7\n\t\tv[1102,2] = 1\n\t\tv[1103,2] = 1\n\t\tv[1104,2] = 3\n\t\tv[1105,2] = 5\n\t\tv[1106,2] = 7\n\t\tv[1107,2] = 5\n\t\tv[1108,2] = 3\n\t\tv[1109,2] = 3\n\t\tv[1110,2] = 3\n\n\t\tv[5,3] = 1\n\t\tv[6,3] = 7\n\t\tv[7,3] = 9\n\t\tv[8,3] = 13\n\t\tv[9,3] = 11\n\t\tv[10,3] = 1\n\t\tv[11,3] = 3\n\t\tv[12,3] = 7\n\t\tv[13,3] = 9\n\t\tv[14,3] = 5\n\t\tv[15,3] = 13\n\t\tv[16,3] = 13\n\t\tv[17,3] = 11\n\t\tv[18,3] = 3\n\t\tv[19,3] = 15\n\t\tv[20,3] = 5\n\t\tv[21,3] = 3\n\t\tv[22,3] = 15\n\t\tv[23,3] = 7\n\t\tv[24,3] = 9\n\t\tv[25,3] = 13\n\t\tv[26,3] = 9\n\t\tv[27,3] = 1\n\t\tv[28,3] = 11\n\t\tv[29,3] = 7\n\t\tv[30,3] = 5\n\t\tv[31,3] = 15\n\t\tv[32,3] = 1\n\t\tv[33,3] = 15\n\t\tv[34,3] = 11\n\t\tv[35,3] = 5\n\t\tv[36,3] = 11\n\t\tv[37,3] = 1\n\t\tv[38,3] = 7\n\t\tv[39,3] = 9\n\t\tv[40,3] = 7\n\t\tv[41,3] = 7\n\t\tv[42,3] = 1\n\t\tv[43,3] = 15\n\t\tv[44,3] = 15\n\t\tv[45,3] = 15\n\t\tv[46,3] = 13\n\t\tv[47,3] = 3\n\t\tv[48,3] = 3\n\t\tv[49,3] = 15\n\t\tv[50,3] = 5\n\t\tv[51,3] = 9\n\t\tv[52,3] = 7\n\t\tv[53,3] = 13\n\t\tv[54,3] = 3\n\t\tv[55,3] = 7\n\t\tv[56,3] = 5\n\t\tv[57,3] = 11\n\t\tv[58,3] = 9\n\t\tv[59,3] = 1\n\t\tv[60,3] = 9\n\t\tv[61,3] = 1\n\t\tv[62,3] = 5\n\t\tv[63,3] = 7\n\t\tv[64,3] = 13\n\t\tv[65,3] = 9\n\t\tv[66,3] = 9\n\t\tv[67,3] = 1\n\t\tv[68,3] = 7\n\t\tv[69,3] = 3\n\t\tv[70,3] = 5\n\t\tv[71,3] = 1\n\t\tv[72,3] = 11\n\t\tv[73,3] = 11\n\t\tv[74,3] = 13\n\t\tv[75,3] = 7\n\t\tv[76,3] = 7\n\t\tv[77,3] = 9\n\t\tv[78,3] = 9\n\t\tv[79,3] = 1\n\t\tv[80,3] = 1\n\t\tv[81,3] = 3\n\t\tv[82,3] = 9\n\t\tv[83,3] = 15\n\t\tv[84,3] = 1\n\t\tv[85,3] = 5\n\t\tv[86,3] = 13\n\t\tv[87,3] = 1\n\t\tv[88,3] = 9\n\t\tv[89,3] = 9\n\t\tv[90,3] = 9\n\t\tv[91,3] = 9\n\t\tv[92,3] = 9\n\t\tv[93,3] = 13\n\t\tv[94,3] = 11\n\t\tv[95,3] = 3\n\t\tv[96,3] = 5\n\t\tv[97,3] = 11\n\t\tv[98,3] = 11\n\t\tv[99,3] = 13\n\t\tv[100,3] = 5\n\t\tv[101,3] = 3\n\t\tv[102,3] = 15\n\t\tv[103,3] = 1\n\t\tv[104,3] = 11\n\t\tv[105,3] = 11\n\t\tv[106,3] = 7\n\t\tv[107,3] = 13\n\t\tv[108,3] = 15\n\t\tv[109,3] = 11\n\t\tv[110,3] = 13\n\t\tv[111,3] = 9\n\t\tv[112,3] = 11\n\t\tv[113,3] = 15\n\t\tv[114,3] = 15\n\t\tv[115,3] = 13\n\t\tv[116,3] = 3\n\t\tv[117,3] = 15\n\t\tv[118,3] = 7\n\t\tv[119,3] = 9\n\t\tv[120,3] = 11\n\t\tv[121,3] = 13\n\t\tv[122,3] = 11\n\t\tv[123,3] = 9\n\t\tv[124,3] = 9\n\t\tv[125,3] = 5\n\t\tv[126,3] = 13\n\t\tv[127,3] = 9\n\t\tv[128,3] = 1\n\t\tv[129,3] = 13\n\t\tv[130,3] = 7\n\t\tv[131,3] = 7\n\t\tv[132,3] = 7\n\t\tv[133,3] = 7\n\t\tv[134,3] = 7\n\t\tv[135,3] = 5\n\t\tv[136,3] = 9\n\t\tv[137,3] = 7\n\t\tv[138,3] = 13\n\t\tv[139,3] = 11\n\t\tv[140,3] = 9\n\t\tv[141,3] = 11\n\t\tv[142,3] = 15\n\t\tv[143,3] = 3\n\t\tv[144,3] = 13\n\t\tv[145,3] = 11\n\t\tv[146,3] = 1\n\t\tv[147,3] = 11\n\t\tv[148,3] = 3\n\t\tv[149,3] = 3\n\t\tv[150,3] = 9\n\t\tv[151,3] = 11\n\t\tv[152,3] = 1\n\t\tv[153,3] = 7\n\t\tv[154,3] = 1\n\t\tv[155,3] = 15\n\t\tv[156,3] = 15\n\t\tv[157,3] = 3\n\t\tv[158,3] = 1\n\t\tv[159,3] = 9\n\t\tv[160,3] = 1\n\t\tv[161,3] = 7\n\t\tv[162,3] = 13\n\t\tv[163,3] = 11\n\t\tv[164,3] = 3\n\t\tv[165,3] = 13\n\t\tv[166,3] = 11\n\t\tv[167,3] = 7\n\t\tv[168,3] = 3\n\t\tv[169,3] = 3\n\t\tv[170,3] = 5\n\t\tv[171,3] = 13\n\t\tv[172,3] = 11\n\t\tv[173,3] = 5\n\t\tv[174,3] = 11\n\t\tv[175,3] = 1\n\t\tv[176,3] = 3\n\t\tv[177,3] = 9\n\t\tv[178,3] = 7\n\t\tv[179,3] = 15\n\t\tv[180,3] = 7\n\t\tv[181,3] = 5\n\t\tv[182,3] = 13\n\t\tv[183,3] = 7\n\t\tv[184,3] = 9\n\t\tv[185,3] = 13\n\t\tv[186,3] = 15\n\t\tv[187,3] = 13\n\t\tv[188,3] = 9\n\t\tv[189,3] = 7\n\t\tv[190,3] = 15\n\t\tv[191,3] = 7\n\t\tv[192,3] = 9\n\t\tv[193,3] = 5\n\t\tv[194,3] = 11\n\t\tv[195,3] = 11\n\t\tv[196,3] = 13\n\t\tv[197,3] = 13\n\t\tv[198,3] = 9\n\t\tv[199,3] = 3\n\t\tv[200,3] = 5\n\t\tv[201,3] = 13\n\t\tv[202,3] = 9\n\t\tv[203,3] = 11\n\t\tv[204,3] = 15\n\t\tv[205,3] = 11\n\t\tv[206,3] = 7\n\t\tv[207,3] = 1\n\t\tv[208,3] = 7\n\t\tv[209,3] = 13\n\t\tv[210,3] = 3\n\t\tv[211,3] = 13\n\t\tv[212,3] = 3\n\t\tv[213,3] = 13\n\t\tv[214,3] = 9\n\t\tv[215,3] = 15\n\t\tv[216,3] = 7\n\t\tv[217,3] = 13\n\t\tv[218,3] = 13\n\t\tv[219,3] = 3\n\t\tv[220,3] = 13\n\t\tv[221,3] = 15\n\t\tv[222,3] = 15\n\t\tv[223,3] = 11\n\t\tv[224,3] = 9\n\t\tv[225,3] = 13\n\t\tv[226,3] = 9\n\t\tv[227,3] = 15\n\t\tv[228,3] = 1\n\t\tv[229,3] = 1\n\t\tv[230,3] = 15\n\t\tv[231,3] = 11\n\t\tv[232,3] = 11\n\t\tv[233,3] = 7\n\t\tv[234,3] = 1\n\t\tv[235,3] = 11\n\t\tv[236,3] = 13\n\t\tv[237,3] = 9\n\t\tv[238,3] = 13\n\t\tv[239,3] = 3\n\t\tv[240,3] = 5\n\t\tv[241,3] = 11\n\t\tv[242,3] = 13\n\t\tv[243,3] = 9\n\t\tv[244,3] = 9\n\t\tv[245,3] = 13\n\t\tv[246,3] = 1\n\t\tv[247,3] = 11\n\t\tv[248,3] = 15\n\t\tv[249,3] = 13\n\t\tv[250,3] = 3\n\t\tv[251,3] = 13\n\t\tv[252,3] = 7\n\t\tv[253,3] = 15\n\t\tv[254,3] = 1\n\t\tv[255,3] = 15\n\t\tv[256,3] = 3\n\t\tv[257,3] = 3\n\t\tv[258,3] = 11\n\t\tv[259,3] = 7\n\t\tv[260,3] = 13\n\t\tv[261,3] = 7\n\t\tv[262,3] = 7\n\t\tv[263,3] = 9\n\t\tv[264,3] = 7\n\t\tv[265,3] = 5\n\t\tv[266,3] = 15\n\t\tv[267,3] = 9\n\t\tv[268,3] = 5\n\t\tv[269,3] = 5\n\t\tv[270,3] = 7\n\t\tv[271,3] = 15\n\t\tv[272,3] = 13\n\t\tv[273,3] = 15\n\t\tv[274,3] = 5\n\t\tv[275,3] = 15\n\t\tv[276,3] = 5\n\t\tv[277,3] = 3\n\t\tv[278,3] = 1\n\t\tv[279,3] = 11\n\t\tv[280,3] = 7\n\t\tv[281,3] = 1\n\t\tv[282,3] = 5\n\t\tv[283,3] = 7\n\t\tv[284,3] = 9\n\t\tv[285,3] = 3\n\t\tv[286,3] = 11\n\t\tv[287,3] = 1\n\t\tv[288,3] = 15\n\t\tv[289,3] = 1\n\t\tv[290,3] = 3\n\t\tv[291,3] = 15\n\t\tv[292,3] = 11\n\t\tv[293,3] = 13\n\t\tv[294,3] = 5\n\t\tv[295,3] = 13\n\t\tv[296,3] = 1\n\t\tv[297,3] = 7\n\t\tv[298,3] = 1\n\t\tv[299,3] = 15\n\t\tv[300,3] = 7\n\t\tv[301,3] = 5\n\t\tv[302,3] = 1\n\t\tv[303,3] = 1\n\t\tv[304,3] = 15\n\t\tv[305,3] = 13\n\t\tv[306,3] = 11\n\t\tv[307,3] = 11\n\t\tv[308,3] = 13\n\t\tv[309,3] = 5\n\t\tv[310,3] = 11\n\t\tv[311,3] = 7\n\t\tv[312,3] = 9\n\t\tv[313,3] = 7\n\t\tv[314,3] = 1\n\t\tv[315,3] = 5\n\t\tv[316,3] = 3\n\t\tv[317,3] = 9\n\t\tv[318,3] = 5\n\t\tv[319,3] = 5\n\t\tv[320,3] = 11\n\t\tv[321,3] = 5\n\t\tv[322,3] = 1\n\t\tv[323,3] = 7\n\t\tv[324,3] = 1\n\t\tv[325,3] = 11\n\t\tv[326,3] = 7\n\t\tv[327,3] = 9\n\t\tv[328,3] = 13\n\t\tv[329,3] = 15\n\t\tv[330,3] = 13\n\t\tv[331,3] = 3\n\t\tv[332,3] = 1\n\t\tv[333,3] = 11\n\t\tv[334,3] = 13\n\t\tv[335,3] = 15\n\t\tv[336,3] = 1\n\t\tv[337,3] = 1\n\t\tv[338,3] = 11\n\t\tv[339,3] = 9\n\t\tv[340,3] = 13\n\t\tv[341,3] = 3\n\t\tv[342,3] = 13\n\t\tv[343,3] = 11\n\t\tv[344,3] = 15\n\t\tv[345,3] = 13\n\t\tv[346,3] = 9\n\t\tv[347,3] = 9\n\t\tv[348,3] = 9\n\t\tv[349,3] = 5\n\t\tv[350,3] = 5\n\t\tv[351,3] = 5\n\t\tv[352,3] = 5\n\t\tv[353,3] = 1\n\t\tv[354,3] = 15\n\t\tv[355,3] = 5\n\t\tv[356,3] = 9\n\t\tv[357,3] = 11\n\t\tv[358,3] = 7\n\t\tv[359,3] = 15\n\t\tv[360,3] = 5\n\t\tv[361,3] = 3\n\t\tv[362,3] = 13\n\t\tv[363,3] = 5\n\t\tv[364,3] = 3\n\t\tv[365,3] = 11\n\t\tv[366,3] = 5\n\t\tv[367,3] = 1\n\t\tv[368,3] = 11\n\t\tv[369,3] = 13\n\t\tv[370,3] = 9\n\t\tv[371,3] = 11\n\t\tv[372,3] = 3\n\t\tv[373,3] = 7\n\t\tv[374,3] = 13\n\t\tv[375,3] = 15\n\t\tv[376,3] = 1\n\t\tv[377,3] = 7\n\t\tv[378,3] = 11\n\t\tv[379,3] = 1\n\t\tv[380,3] = 13\n\t\tv[381,3] = 1\n\t\tv[382,3] = 15\n\t\tv[383,3] = 1\n\t\tv[384,3] = 9\n\t\tv[385,3] = 7\n\t\tv[386,3] = 3\n\t\tv[387,3] = 9\n\t\tv[388,3] = 11\n\t\tv[389,3] = 1\n\t\tv[390,3] = 9\n\t\tv[391,3] = 13\n\t\tv[392,3] = 13\n\t\tv[393,3] = 3\n\t\tv[394,3] = 11\n\t\tv[395,3] = 7\n\t\tv[396,3] = 9\n\t\tv[397,3] = 1\n\t\tv[398,3] = 7\n\t\tv[399,3] = 15\n\t\tv[400,3] = 9\n\t\tv[401,3] = 1\n\t\tv[402,3] = 5\n\t\tv[403,3] = 13\n\t\tv[404,3] = 5\n\t\tv[405,3] = 11\n\t\tv[406,3] = 3\n\t\tv[407,3] = 9\n\t\tv[408,3] = 15\n\t\tv[409,3] = 11\n\t\tv[410,3] = 13\n\t\tv[411,3] = 5\n\t\tv[412,3] = 1\n\t\tv[413,3] = 7\n\t\tv[414,3] = 7\n\t\tv[415,3] = 5\n\t\tv[416,3] = 13\n\t\tv[417,3] = 7\n\t\tv[418,3] = 7\n\t\tv[419,3] = 9\n\t\tv[420,3] = 5\n\t\tv[421,3] = 11\n\t\tv[422,3] = 11\n\t\tv[423,3] = 1\n\t\tv[424,3] = 1\n\t\tv[425,3] = 15\n\t\tv[426,3] = 3\n\t\tv[427,3] = 13\n\t\tv[428,3] = 9\n\t\tv[429,3] = 13\n\t\tv[430,3] = 9\n\t\tv[431,3] = 9\n\t\tv[432,3] = 11\n\t\tv[433,3] = 5\n\t\tv[434,3] = 5\n\t\tv[435,3] = 13\n\t\tv[436,3] = 15\n\t\tv[437,3] = 3\n\t\tv[438,3] = 9\n\t\tv[439,3] = 15\n\t\tv[440,3] = 3\n\t\tv[441,3] = 11\n\t\tv[442,3] = 11\n\t\tv[443,3] = 15\n\t\tv[444,3] = 15\n\t\tv[445,3] = 3\n\t\tv[446,3] = 11\n\t\tv[447,3] = 15\n\t\tv[448,3] = 15\n\t\tv[449,3] = 3\n\t\tv[450,3] = 1\n\t\tv[451,3] = 3\n\t\tv[452,3] = 1\n\t\tv[453,3] = 3\n\t\tv[454,3] = 3\n\t\tv[455,3] = 1\n\t\tv[456,3] = 3\n\t\tv[457,3] = 13\n\t\tv[458,3] = 1\n\t\tv[459,3] = 11\n\t\tv[460,3] = 5\n\t\tv[461,3] = 15\n\t\tv[462,3] = 7\n\t\tv[463,3] = 15\n\t\tv[464,3] = 9\n\t\tv[465,3] = 1\n\t\tv[466,3] = 7\n\t\tv[467,3] = 1\n\t\tv[468,3] = 9\n\t\tv[469,3] = 11\n\t\tv[470,3] = 15\n\t\tv[471,3] = 1\n\t\tv[472,3] = 13\n\t\tv[473,3] = 9\n\t\tv[474,3] = 13\n\t\tv[475,3] = 11\n\t\tv[476,3] = 7\n\t\tv[477,3] = 3\n\t\tv[478,3] = 7\n\t\tv[479,3] = 3\n\t\tv[480,3] = 13\n\t\tv[481,3] = 7\n\t\tv[482,3] = 9\n\t\tv[483,3] = 7\n\t\tv[484,3] = 7\n\t\tv[485,3] = 3\n\t\tv[486,3] = 3\n\t\tv[487,3] = 9\n\t\tv[488,3] = 9\n\t\tv[489,3] = 7\n\t\tv[490,3] = 5\n\t\tv[491,3] = 11\n\t\tv[492,3] = 13\n\t\tv[493,3] = 13\n\t\tv[494,3] = 7\n\t\tv[495,3] = 7\n\t\tv[496,3] = 15\n\t\tv[497,3] = 9\n\t\tv[498,3] = 5\n\t\tv[499,3] = 5\n\t\tv[500,3] = 3\n\t\tv[501,3] = 3\n\t\tv[502,3] = 13\n\t\tv[503,3] = 3\n\t\tv[504,3] = 9\n\t\tv[505,3] = 3\n\t\tv[506,3] = 1\n\t\tv[507,3] = 11\n\t\tv[508,3] = 1\n\t\tv[509,3] = 3\n\t\tv[510,3] = 11\n\t\tv[511,3] = 15\n\t\tv[512,3] = 11\n\t\tv[513,3] = 11\n\t\tv[514,3] = 11\n\t\tv[515,3] = 9\n\t\tv[516,3] = 13\n\t\tv[517,3] = 7\n\t\tv[518,3] = 9\n\t\tv[519,3] = 15\n\t\tv[520,3] = 9\n\t\tv[521,3] = 11\n\t\tv[522,3] = 1\n\t\tv[523,3] = 3\n\t\tv[524,3] = 3\n\t\tv[525,3] = 9\n\t\tv[526,3] = 7\n\t\tv[527,3] = 15\n\t\tv[528,3] = 13\n\t\tv[529,3] = 13\n\t\tv[530,3] = 7\n\t\tv[531,3] = 15\n\t\tv[532,3] = 9\n\t\tv[533,3] = 13\n\t\tv[534,3] = 9\n\t\tv[535,3] = 15\n\t\tv[536,3] = 13\n\t\tv[537,3] = 15\n\t\tv[538,3] = 9\n\t\tv[539,3] = 13\n\t\tv[540,3] = 1\n\t\tv[541,3] = 11\n\t\tv[542,3] = 7\n\t\tv[543,3] = 11\n\t\tv[544,3] = 3\n\t\tv[545,3] = 13\n\t\tv[546,3] = 5\n\t\tv[547,3] = 1\n\t\tv[548,3] = 7\n\t\tv[549,3] = 15\n\t\tv[550,3] = 3\n\t\tv[551,3] = 13\n\t\tv[552,3] = 7\n\t\tv[553,3] = 13\n\t\tv[554,3] = 13\n\t\tv[555,3] = 11\n\t\tv[556,3] = 3\n\t\tv[557,3] = 5\n\t\tv[558,3] = 3\n\t\tv[559,3] = 13\n\t\tv[560,3] = 11\n\t\tv[561,3] = 9\n\t\tv[562,3] = 9\n\t\tv[563,3] = 3\n\t\tv[564,3] = 11\n\t\tv[565,3] = 11\n\t\tv[566,3] = 7\n\t\tv[567,3] = 9\n\t\tv[568,3] = 13\n\t\tv[569,3] = 11\n\t\tv[570,3] = 7\n\t\tv[571,3] = 15\n\t\tv[572,3] = 13\n\t\tv[573,3] = 7\n\t\tv[574,3] = 5\n\t\tv[575,3] = 3\n\t\tv[576,3] = 1\n\t\tv[577,3] = 5\n\t\tv[578,3] = 15\n\t\tv[579,3] = 15\n\t\tv[580,3] = 3\n\t\tv[581,3] = 11\n\t\tv[582,3] = 1\n\t\tv[583,3] = 7\n\t\tv[584,3] = 3\n\t\tv[585,3] = 15\n\t\tv[586,3] = 11\n\t\tv[587,3] = 5\n\t\tv[588,3] = 5\n\t\tv[589,3] = 3\n\t\tv[590,3] = 5\n\t\tv[591,3] = 5\n\t\tv[592,3] = 1\n\t\tv[593,3] = 15\n\t\tv[594,3] = 5\n\t\tv[595,3] = 1\n\t\tv[596,3] = 5\n\t\tv[597,3] = 3\n\t\tv[598,3] = 7\n\t\tv[599,3] = 5\n\t\tv[600,3] = 11\n\t\tv[601,3] = 3\n\t\tv[602,3] = 13\n\t\tv[603,3] = 9\n\t\tv[604,3] = 13\n\t\tv[605,3] = 15\n\t\tv[606,3] = 5\n\t\tv[607,3] = 3\n\t\tv[608,3] = 5\n\t\tv[609,3] = 9\n\t\tv[610,3] = 5\n\t\tv[611,3] = 3\n\t\tv[612,3] = 11\n\t\tv[613,3] = 1\n\t\tv[614,3] = 13\n\t\tv[615,3] = 9\n\t\tv[616,3] = 15\n\t\tv[617,3] = 3\n\t\tv[618,3] = 5\n\t\tv[619,3] = 11\n\t\tv[620,3] = 9\n\t\tv[621,3] = 1\n\t\tv[622,3] = 3\n\t\tv[623,3] = 15\n\t\tv[624,3] = 9\n\t\tv[625,3] = 9\n\t\tv[626,3] = 9\n\t\tv[627,3] = 11\n\t\tv[628,3] = 7\n\t\tv[629,3] = 5\n\t\tv[630,3] = 13\n\t\tv[631,3] = 1\n\t\tv[632,3] = 15\n\t\tv[633,3] = 3\n\t\tv[634,3] = 13\n\t\tv[635,3] = 9\n\t\tv[636,3] = 13\n\t\tv[637,3] = 5\n\t\tv[638,3] = 1\n\t\tv[639,3] = 5\n\t\tv[640,3] = 1\n\t\tv[641,3] = 13\n\t\tv[642,3] = 13\n\t\tv[643,3] = 7\n\t\tv[644,3] = 7\n\t\tv[645,3] = 1\n\t\tv[646,3] = 9\n\t\tv[647,3] = 5\n\t\tv[648,3] = 11\n\t\tv[649,3] = 9\n\t\tv[650,3] = 11\n\t\tv[651,3] = 13\n\t\tv[652,3] = 3\n\t\tv[653,3] = 15\n\t\tv[654,3] = 15\n\t\tv[655,3] = 13\n\t\tv[656,3] = 15\n\t\tv[657,3] = 7\n\t\tv[658,3] = 5\n\t\tv[659,3] = 7\n\t\tv[660,3] = 9\n\t\tv[661,3] = 7\n\t\tv[662,3] = 9\n\t\tv[663,3] = 9\n\t\tv[664,3] = 9\n\t\tv[665,3] = 11\n\t\tv[666,3] = 9\n\t\tv[667,3] = 3\n\t\tv[668,3] = 11\n\t\tv[669,3] = 15\n\t\tv[670,3] = 13\n\t\tv[671,3] = 13\n\t\tv[672,3] = 5\n\t\tv[673,3] = 9\n\t\tv[674,3] = 15\n\t\tv[675,3] = 1\n\t\tv[676,3] = 1\n\t\tv[677,3] = 9\n\t\tv[678,3] = 5\n\t\tv[679,3] = 13\n\t\tv[680,3] = 3\n\t\tv[681,3] = 13\n\t\tv[682,3] = 15\n\t\tv[683,3] = 3\n\t\tv[684,3] = 1\n\t\tv[685,3] = 3\n\t\tv[686,3] = 11\n\t\tv[687,3] = 13\n\t\tv[688,3] = 1\n\t\tv[689,3] = 15\n\t\tv[690,3] = 9\n\t\tv[691,3] = 9\n\t\tv[692,3] = 3\n\t\tv[693,3] = 1\n\t\tv[694,3] = 9\n\t\tv[695,3] = 1\n\t\tv[696,3] = 9\n\t\tv[697,3] = 1\n\t\tv[698,3] = 13\n\t\tv[699,3] = 11\n\t\tv[700,3] = 15\n\t\tv[701,3] = 7\n\t\tv[702,3] = 11\n\t\tv[703,3] = 15\n\t\tv[704,3] = 13\n\t\tv[705,3] = 15\n\t\tv[706,3] = 1\n\t\tv[707,3] = 9\n\t\tv[708,3] = 9\n\t\tv[709,3] = 7\n\t\tv[710,3] = 3\n\t\tv[711,3] = 5\n\t\tv[712,3] = 11\n\t\tv[713,3] = 7\n\t\tv[714,3] = 3\n\t\tv[715,3] = 9\n\t\tv[716,3] = 5\n\t\tv[717,3] = 15\n\t\tv[718,3] = 7\n\t\tv[719,3] = 5\n\t\tv[720,3] = 3\n\t\tv[721,3] = 13\n\t\tv[722,3] = 7\n\t\tv[723,3] = 1\n\t\tv[724,3] = 1\n\t\tv[725,3] = 9\n\t\tv[726,3] = 15\n\t\tv[727,3] = 15\n\t\tv[728,3] = 15\n\t\tv[729,3] = 11\n\t\tv[730,3] = 3\n\t\tv[731,3] = 5\n\t\tv[732,3] = 15\n\t\tv[733,3] = 13\n\t\tv[734,3] = 7\n\t\tv[735,3] = 15\n\t\tv[736,3] = 15\n\t\tv[737,3] = 11\n\t\tv[738,3] = 11\n\t\tv[739,3] = 9\n\t\tv[740,3] = 5\n\t\tv[741,3] = 15\n\t\tv[742,3] = 9\n\t\tv[743,3] = 7\n\t\tv[744,3] = 3\n\t\tv[745,3] = 13\n\t\tv[746,3] = 1\n\t\tv[747,3] = 1\n\t\tv[748,3] = 5\n\t\tv[749,3] = 1\n\t\tv[750,3] = 3\n\t\tv[751,3] = 1\n\t\tv[752,3] = 7\n\t\tv[753,3] = 1\n\t\tv[754,3] = 1\n\t\tv[755,3] = 5\n\t\tv[756,3] = 1\n\t\tv[757,3] = 11\n\t\tv[758,3] = 11\n\t\tv[759,3] = 9\n\t\tv[760,3] = 9\n\t\tv[761,3] = 5\n\t\tv[762,3] = 13\n\t\tv[763,3] = 7\n\t\tv[764,3] = 7\n\t\tv[765,3] = 7\n\t\tv[766,3] = 1\n\t\tv[767,3] = 1\n\t\tv[768,3] = 9\n\t\tv[769,3] = 9\n\t\tv[770,3] = 11\n\t\tv[771,3] = 11\n\t\tv[772,3] = 15\n\t\tv[773,3] = 7\n\t\tv[774,3] = 5\n\t\tv[775,3] = 5\n\t\tv[776,3] = 3\n\t\tv[777,3] = 11\n\t\tv[778,3] = 1\n\t\tv[779,3] = 3\n\t\tv[780,3] = 7\n\t\tv[781,3] = 13\n\t\tv[782,3] = 7\n\t\tv[783,3] = 7\n\t\tv[784,3] = 7\n\t\tv[785,3] = 3\n\t\tv[786,3] = 15\n\t\tv[787,3] = 15\n\t\tv[788,3] = 11\n\t\tv[789,3] = 9\n\t\tv[790,3] = 3\n\t\tv[791,3] = 9\n\t\tv[792,3] = 3\n\t\tv[793,3] = 15\n\t\tv[794,3] = 13\n\t\tv[795,3] = 5\n\t\tv[796,3] = 3\n\t\tv[797,3] = 3\n\t\tv[798,3] = 3\n\t\tv[799,3] = 5\n\t\tv[800,3] = 9\n\t\tv[801,3] = 15\n\t\tv[802,3] = 9\n\t\tv[803,3] = 9\n\t\tv[804,3] = 1\n\t\tv[805,3] = 5\n\t\tv[806,3] = 9\n\t\tv[807,3] = 9\n\t\tv[808,3] = 15\n\t\tv[809,3] = 5\n\t\tv[810,3] = 15\n\t\tv[811,3] = 7\n\t\tv[812,3] = 9\n\t\tv[813,3] = 1\n\t\tv[814,3] = 9\n\t\tv[815,3] = 9\n\t\tv[816,3] = 5\n\t\tv[817,3] = 11\n\t\tv[818,3] = 5\n\t\tv[819,3] = 15\n\t\tv[820,3] = 15\n\t\tv[821,3] = 11\n\t\tv[822,3] = 7\n\t\tv[823,3] = 7\n\t\tv[824,3] = 7\n\t\tv[825,3] = 1\n\t\tv[826,3] = 1\n\t\tv[827,3] = 11\n\t\tv[828,3] = 11\n\t\tv[829,3] = 13\n\t\tv[830,3] = 15\n\t\tv[831,3] = 3\n\t\tv[832,3] = 13\n\t\tv[833,3] = 5\n\t\tv[834,3] = 1\n\t\tv[835,3] = 7\n\t\tv[836,3] = 1\n\t\tv[837,3] = 11\n\t\tv[838,3] = 3\n\t\tv[839,3] = 13\n\t\tv[840,3] = 15\n\t\tv[841,3] = 3\n\t\tv[842,3] = 5\n\t\tv[843,3] = 3\n\t\tv[844,3] = 5\n\t\tv[845,3] = 7\n\t\tv[846,3] = 3\n\t\tv[847,3] = 9\n\t\tv[848,3] = 9\n\t\tv[849,3] = 5\n\t\tv[850,3] = 1\n\t\tv[851,3] = 7\n\t\tv[852,3] = 11\n\t\tv[853,3] = 9\n\t\tv[854,3] = 3\n\t\tv[855,3] = 5\n\t\tv[856,3] = 11\n\t\tv[857,3] = 13\n\t\tv[858,3] = 13\n\t\tv[859,3] = 13\n\t\tv[860,3] = 9\n\t\tv[861,3] = 15\n\t\tv[862,3] = 5\n\t\tv[863,3] = 7\n\t\tv[864,3] = 1\n\t\tv[865,3] = 15\n\t\tv[866,3] = 11\n\t\tv[867,3] = 9\n\t\tv[868,3] = 15\n\t\tv[869,3] = 15\n\t\tv[870,3] = 13\n\t\tv[871,3] = 13\n\t\tv[872,3] = 13\n\t\tv[873,3] = 1\n\t\tv[874,3] = 11\n\t\tv[875,3] = 9\n\t\tv[876,3] = 15\n\t\tv[877,3] = 9\n\t\tv[878,3] = 5\n\t\tv[879,3] = 15\n\t\tv[880,3] = 5\n\t\tv[881,3] = 7\n\t\tv[882,3] = 3\n\t\tv[883,3] = 11\n\t\tv[884,3] = 3\n\t\tv[885,3] = 15\n\t\tv[886,3] = 7\n\t\tv[887,3] = 13\n\t\tv[888,3] = 11\n\t\tv[889,3] = 7\n\t\tv[890,3] = 3\n\t\tv[891,3] = 7\n\t\tv[892,3] = 13\n\t\tv[893,3] = 5\n\t\tv[894,3] = 13\n\t\tv[895,3] = 15\n\t\tv[896,3] = 5\n\t\tv[897,3] = 13\n\t\tv[898,3] = 9\n\t\tv[899,3] = 1\n\t\tv[900,3] = 15\n\t\tv[901,3] = 11\n\t\tv[902,3] = 5\n\t\tv[903,3] = 5\n\t\tv[904,3] = 1\n\t\tv[905,3] = 11\n\t\tv[906,3] = 3\n\t\tv[907,3] = 3\n\t\tv[908,3] = 7\n\t\tv[909,3] = 1\n\t\tv[910,3] = 9\n\t\tv[911,3] = 7\n\t\tv[912,3] = 15\n\t\tv[913,3] = 9\n\t\tv[914,3] = 9\n\t\tv[915,3] = 3\n\t\tv[916,3] = 11\n\t\tv[917,3] = 15\n\t\tv[918,3] = 7\n\t\tv[919,3] = 1\n\t\tv[920,3] = 3\n\t\tv[921,3] = 1\n\t\tv[922,3] = 1\n\t\tv[923,3] = 1\n\t\tv[924,3] = 9\n\t\tv[925,3] = 1\n\t\tv[926,3] = 5\n\t\tv[927,3] = 15\n\t\tv[928,3] = 15\n\t\tv[929,3] = 7\n\t\tv[930,3] = 5\n\t\tv[931,3] = 5\n\t\tv[932,3] = 7\n\t\tv[933,3] = 9\n\t\tv[934,3] = 7\n\t\tv[935,3] = 15\n\t\tv[936,3] = 13\n\t\tv[937,3] = 13\n\t\tv[938,3] = 11\n\t\tv[939,3] = 1\n\t\tv[940,3] = 9\n\t\tv[941,3] = 11\n\t\tv[942,3] = 1\n\t\tv[943,3] = 13\n\t\tv[944,3] = 1\n\t\tv[945,3] = 7\n\t\tv[946,3] = 15\n\t\tv[947,3] = 15\n\t\tv[948,3] = 5\n\t\tv[949,3] = 5\n\t\tv[950,3] = 1\n\t\tv[951,3] = 11\n\t\tv[952,3] = 3\n\t\tv[953,3] = 9\n\t\tv[954,3] = 11\n\t\tv[955,3] = 9\n\t\tv[956,3] = 9\n\t\tv[957,3] = 9\n\t\tv[958,3] = 1\n\t\tv[959,3] = 9\n\t\tv[960,3] = 3\n\t\tv[961,3] = 5\n\t\tv[962,3] = 15\n\t\tv[963,3] = 1\n\t\tv[964,3] = 1\n\t\tv[965,3] = 9\n\t\tv[966,3] = 7\n\t\tv[967,3] = 3\n\t\tv[968,3] = 3\n\t\tv[969,3] = 1\n\t\tv[970,3] = 9\n\t\tv[971,3] = 9\n\t\tv[972,3] = 11\n\t\tv[973,3] = 9\n\t\tv[974,3] = 9\n\t\tv[975,3] = 13\n\t\tv[976,3] = 13\n\t\tv[977,3] = 3\n\t\tv[978,3] = 13\n\t\tv[979,3] = 11\n\t\tv[980,3] = 13\n\t\tv[981,3] = 5\n\t\tv[982,3] = 1\n\t\tv[983,3] = 5\n\t\tv[984,3] = 5\n\t\tv[985,3] = 9\n\t\tv[986,3] = 9\n\t\tv[987,3] = 3\n\t\tv[988,3] = 13\n\t\tv[989,3] = 13\n\t\tv[990,3] = 9\n\t\tv[991,3] = 15\n\t\tv[992,3] = 9\n\t\tv[993,3] = 11\n\t\tv[994,3] = 7\n\t\tv[995,3] = 11\n\t\tv[996,3] = 9\n\t\tv[997,3] = 13\n\t\tv[998,3] = 9\n\t\tv[999,3] = 1\n\t\tv[1000,3] = 15\n\t\tv[1001,3] = 9\n\t\tv[1002,3] = 7\n\t\tv[1003,3] = 7\n\t\tv[1004,3] = 1\n\t\tv[1005,3] = 7\n\t\tv[1006,3] = 9\n\t\tv[1007,3] = 9\n\t\tv[1008,3] = 15\n\t\tv[1009,3] = 1\n\t\tv[1010,3] = 11\n\t\tv[1011,3] = 1\n\t\tv[1012,3] = 13\n\t\tv[1013,3] = 13\n\t\tv[1014,3] = 15\n\t\tv[1015,3] = 9\n\t\tv[1016,3] = 13\n\t\tv[1017,3] = 7\n\t\tv[1018,3] = 15\n\t\tv[1019,3] = 3\n\t\tv[1020,3] = 9\n\t\tv[1021,3] = 3\n\t\tv[1022,3] = 1\n\t\tv[1023,3] = 13\n\t\tv[1024,3] = 7\n\t\tv[1025,3] = 5\n\t\tv[1026,3] = 9\n\t\tv[1027,3] = 3\n\t\tv[1028,3] = 1\n\t\tv[1029,3] = 7\n\t\tv[1030,3] = 1\n\t\tv[1031,3] = 1\n\t\tv[1032,3] = 13\n\t\tv[1033,3] = 3\n\t\tv[1034,3] = 3\n\t\tv[1035,3] = 11\n\t\tv[1036,3] = 1\n\t\tv[1037,3] = 7\n\t\tv[1038,3] = 13\n\t\tv[1039,3] = 15\n\t\tv[1040,3] = 15\n\t\tv[1041,3] = 5\n\t\tv[1042,3] = 7\n\t\tv[1043,3] = 13\n\t\tv[1044,3] = 13\n\t\tv[1045,3] = 15\n\t\tv[1046,3] = 11\n\t\tv[1047,3] = 13\n\t\tv[1048,3] = 1\n\t\tv[1049,3] = 13\n\t\tv[1050,3] = 13\n\t\tv[1051,3] = 3\n\t\tv[1052,3] = 9\n\t\tv[1053,3] = 15\n\t\tv[1054,3] = 15\n\t\tv[1055,3] = 11\n\t\tv[1056,3] = 15\n\t\tv[1057,3] = 9\n\t\tv[1058,3] = 15\n\t\tv[1059,3] = 1\n\t\tv[1060,3] = 13\n\t\tv[1061,3] = 15\n\t\tv[1062,3] = 1\n\t\tv[1063,3] = 1\n\t\tv[1064,3] = 5\n\t\tv[1065,3] = 11\n\t\tv[1066,3] = 5\n\t\tv[1067,3] = 1\n\t\tv[1068,3] = 11\n\t\tv[1069,3] = 11\n\t\tv[1070,3] = 5\n\t\tv[1071,3] = 3\n\t\tv[1072,3] = 9\n\t\tv[1073,3] = 1\n\t\tv[1074,3] = 3\n\t\tv[1075,3] = 5\n\t\tv[1076,3] = 13\n\t\tv[1077,3] = 9\n\t\tv[1078,3] = 7\n\t\tv[1079,3] = 7\n\t\tv[1080,3] = 1\n\t\tv[1081,3] = 9\n\t\tv[1082,3] = 9\n\t\tv[1083,3] = 15\n\t\tv[1084,3] = 7\n\t\tv[1085,3] = 5\n\t\tv[1086,3] = 5\n\t\tv[1087,3] = 15\n\t\tv[1088,3] = 13\n\t\tv[1089,3] = 9\n\t\tv[1090,3] = 7\n\t\tv[1091,3] = 13\n\t\tv[1092,3] = 3\n\t\tv[1093,3] = 13\n\t\tv[1094,3] = 11\n\t\tv[1095,3] = 13\n\t\tv[1096,3] = 7\n\t\tv[1097,3] = 9\n\t\tv[1098,3] = 13\n\t\tv[1099,3] = 13\n\t\tv[1100,3] = 13\n\t\tv[1101,3] = 15\n\t\tv[1102,3] = 9\n\t\tv[1103,3] = 5\n\t\tv[1104,3] = 5\n\t\tv[1105,3] = 3\n\t\tv[1106,3] = 3\n\t\tv[1107,3] = 3\n\t\tv[1108,3] = 1\n\t\tv[1109,3] = 3\n\t\tv[1110,3] = 15\n\n\t\tv[7,4] = 9\n\t\tv[8,4] = 3\n\t\tv[9,4] = 27\n\t\tv[10,4] = 15\n\t\tv[11,4] = 29\n\t\tv[12,4] = 21\n\t\tv[13,4] = 23\n\t\tv[14,4] = 19\n\t\tv[15,4] = 11\n\t\tv[16,4] = 25\n\t\tv[17,4] = 7\n\t\tv[18,4] = 13\n\t\tv[19,4] = 17\n\t\tv[20,4] = 1\n\t\tv[21,4] = 25\n\t\tv[22,4] = 29\n\t\tv[23,4] = 3\n\t\tv[24,4] = 31\n\t\tv[25,4] = 11\n\t\tv[26,4] = 5\n\t\tv[27,4] = 23\n\t\tv[28,4] = 27\n\t\tv[29,4] = 19\n\t\tv[30,4] = 21\n\t\tv[31,4] = 5\n\t\tv[32,4] = 1\n\t\tv[33,4] = 17\n\t\tv[34,4] = 13\n\t\tv[35,4] = 7\n\t\tv[36,4] = 15\n\t\tv[37,4] = 9\n\t\tv[38,4] = 31\n\t\tv[39,4] = 25\n\t\tv[40,4] = 3\n\t\tv[41,4] = 5\n\t\tv[42,4] = 23\n\t\tv[43,4] = 7\n\t\tv[44,4] = 3\n\t\tv[45,4] = 17\n\t\tv[46,4] = 23\n\t\tv[47,4] = 3\n\t\tv[48,4] = 3\n\t\tv[49,4] = 21\n\t\tv[50,4] = 25\n\t\tv[51,4] = 25\n\t\tv[52,4] = 23\n\t\tv[53,4] = 11\n\t\tv[54,4] = 19\n\t\tv[55,4] = 3\n\t\tv[56,4] = 11\n\t\tv[57,4] = 31\n\t\tv[58,4] = 7\n\t\tv[59,4] = 9\n\t\tv[60,4] = 5\n\t\tv[61,4] = 17\n\t\tv[62,4] = 23\n\t\tv[63,4] = 17\n\t\tv[64,4] = 17\n\t\tv[65,4] = 25\n\t\tv[66,4] = 13\n\t\tv[67,4] = 11\n\t\tv[68,4] = 31\n\t\tv[69,4] = 27\n\t\tv[70,4] = 19\n\t\tv[71,4] = 17\n\t\tv[72,4] = 23\n\t\tv[73,4] = 7\n\t\tv[74,4] = 5\n\t\tv[75,4] = 11\n\t\tv[76,4] = 19\n\t\tv[77,4] = 19\n\t\tv[78,4] = 7\n\t\tv[79,4] = 13\n\t\tv[80,4] = 21\n\t\tv[81,4] = 21\n\t\tv[82,4] = 7\n\t\tv[83,4] = 9\n\t\tv[84,4] = 11\n\t\tv[85,4] = 1\n\t\tv[86,4] = 5\n\t\tv[87,4] = 21\n\t\tv[88,4] = 11\n\t\tv[89,4] = 13\n\t\tv[90,4] = 25\n\t\tv[91,4] = 9\n\t\tv[92,4] = 7\n\t\tv[93,4] = 7\n\t\tv[94,4] = 27\n\t\tv[95,4] = 15\n\t\tv[96,4] = 25\n\t\tv[97,4] = 15\n\t\tv[98,4] = 21\n\t\tv[99,4] = 17\n\t\tv[100,4] = 19\n\t\tv[101,4] = 19\n\t\tv[102,4] = 21\n\t\tv[103,4] = 5\n\t\tv[104,4] = 11\n\t\tv[105,4] = 3\n\t\tv[106,4] = 5\n\t\tv[107,4] = 29\n\t\tv[108,4] = 31\n\t\tv[109,4] = 29\n\t\tv[110,4] = 5\n\t\tv[111,4] = 5\n\t\tv[112,4] = 1\n\t\tv[113,4] = 31\n\t\tv[114,4] = 27\n\t\tv[115,4] = 11\n\t\tv[116,4] = 13\n\t\tv[117,4] = 1\n\t\tv[118,4] = 3\n\t\tv[119,4] = 7\n\t\tv[120,4] = 11\n\t\tv[121,4] = 7\n\t\tv[122,4] = 3\n\t\tv[123,4] = 23\n\t\tv[124,4] = 13\n\t\tv[125,4] = 31\n\t\tv[126,4] = 17\n\t\tv[127,4] = 1\n\t\tv[128,4] = 27\n\t\tv[129,4] = 11\n\t\tv[130,4] = 25\n\t\tv[131,4] = 1\n\t\tv[132,4] = 23\n\t\tv[133,4] = 29\n\t\tv[134,4] = 17\n\t\tv[135,4] = 25\n\t\tv[136,4] = 7\n\t\tv[137,4] = 25\n\t\tv[138,4] = 27\n\t\tv[139,4] = 17\n\t\tv[140,4] = 13\n\t\tv[141,4] = 17\n\t\tv[142,4] = 23\n\t\tv[143,4] = 5\n\t\tv[144,4] = 17\n\t\tv[145,4] = 5\n\t\tv[146,4] = 13\n\t\tv[147,4] = 11\n\t\tv[148,4] = 21\n\t\tv[149,4] = 5\n\t\tv[150,4] = 11\n\t\tv[151,4] = 5\n\t\tv[152,4] = 9\n\t\tv[153,4] = 31\n\t\tv[154,4] = 19\n\t\tv[155,4] = 17\n\t\tv[156,4] = 9\n\t\tv[157,4] = 9\n\t\tv[158,4] = 27\n\t\tv[159,4] = 21\n\t\tv[160,4] = 15\n\t\tv[161,4] = 15\n\t\tv[162,4] = 1\n\t\tv[163,4] = 1\n\t\tv[164,4] = 29\n\t\tv[165,4] = 5\n\t\tv[166,4] = 31\n\t\tv[167,4] = 11\n\t\tv[168,4] = 17\n\t\tv[169,4] = 23\n\t\tv[170,4] = 19\n\t\tv[171,4] = 21\n\t\tv[172,4] = 25\n\t\tv[173,4] = 15\n\t\tv[174,4] = 11\n\t\tv[175,4] = 5\n\t\tv[176,4] = 5\n\t\tv[177,4] = 1\n\t\tv[178,4] = 19\n\t\tv[179,4] = 19\n\t\tv[180,4] = 19\n\t\tv[181,4] = 7\n\t\tv[182,4] = 13\n\t\tv[183,4] = 21\n\t\tv[184,4] = 17\n\t\tv[185,4] = 17\n\t\tv[186,4] = 25\n\t\tv[187,4] = 23\n\t\tv[188,4] = 19\n\t\tv[189,4] = 23\n\t\tv[190,4] = 15\n\t\tv[191,4] = 13\n\t\tv[192,4] = 5\n\t\tv[193,4] = 19\n\t\tv[194,4] = 25\n\t\tv[195,4] = 9\n\t\tv[196,4] = 7\n\t\tv[197,4] = 3\n\t\tv[198,4] = 21\n\t\tv[199,4] = 17\n\t\tv[200,4] = 25\n\t\tv[201,4] = 1\n\t\tv[202,4] = 27\n\t\tv[203,4] = 25\n\t\tv[204,4] = 27\n\t\tv[205,4] = 25\n\t\tv[206,4] = 9\n\t\tv[207,4] = 13\n\t\tv[208,4] = 3\n\t\tv[209,4] = 17\n\t\tv[210,4] = 25\n\t\tv[211,4] = 23\n\t\tv[212,4] = 9\n\t\tv[213,4] = 25\n\t\tv[214,4] = 9\n\t\tv[215,4] = 13\n\t\tv[216,4] = 17\n\t\tv[217,4] = 17\n\t\tv[218,4] = 3\n\t\tv[219,4] = 15\n\t\tv[220,4] = 7\n\t\tv[221,4] = 7\n\t\tv[222,4] = 29\n\t\tv[223,4] = 3\n\t\tv[224,4] = 19\n\t\tv[225,4] = 29\n\t\tv[226,4] = 29\n\t\tv[227,4] = 19\n\t\tv[228,4] = 29\n\t\tv[229,4] = 13\n\t\tv[230,4] = 15\n\t\tv[231,4] = 25\n\t\tv[232,4] = 27\n\t\tv[233,4] = 1\n\t\tv[234,4] = 3\n\t\tv[235,4] = 9\n\t\tv[236,4] = 9\n\t\tv[237,4] = 13\n\t\tv[238,4] = 31\n\t\tv[239,4] = 29\n\t\tv[240,4] = 31\n\t\tv[241,4] = 5\n\t\tv[242,4] = 15\n\t\tv[243,4] = 29\n\t\tv[244,4] = 1\n\t\tv[245,4] = 19\n\t\tv[246,4] = 5\n\t\tv[247,4] = 9\n\t\tv[248,4] = 19\n\t\tv[249,4] = 5\n\t\tv[250,4] = 15\n\t\tv[251,4] = 3\n\t\tv[252,4] = 5\n\t\tv[253,4] = 7\n\t\tv[254,4] = 15\n\t\tv[255,4] = 17\n\t\tv[256,4] = 17\n\t\tv[257,4] = 23\n\t\tv[258,4] = 11\n\t\tv[259,4] = 9\n\t\tv[260,4] = 23\n\t\tv[261,4] = 19\n\t\tv[262,4] = 3\n\t\tv[263,4] = 17\n\t\tv[264,4] = 1\n\t\tv[265,4] = 27\n\t\tv[266,4] = 9\n\t\tv[267,4] = 9\n\t\tv[268,4] = 17\n\t\tv[269,4] = 13\n\t\tv[270,4] = 25\n\t\tv[271,4] = 29\n\t\tv[272,4] = 23\n\t\tv[273,4] = 29\n\t\tv[274,4] = 11\n\t\tv[275,4] = 31\n\t\tv[276,4] = 25\n\t\tv[277,4] = 21\n\t\tv[278,4] = 29\n\t\tv[279,4] = 19\n\t\tv[280,4] = 27\n\t\tv[281,4] = 31\n\t\tv[282,4] = 3\n\t\tv[283,4] = 5\n\t\tv[284,4] = 3\n\t\tv[285,4] = 3\n\t\tv[286,4] = 13\n\t\tv[287,4] = 21\n\t\tv[288,4] = 9\n\t\tv[289,4] = 29\n\t\tv[290,4] = 3\n\t\tv[291,4] = 17\n\t\tv[292,4] = 11\n\t\tv[293,4] = 11\n\t\tv[294,4] = 9\n\t\tv[295,4] = 21\n\t\tv[296,4] = 19\n\t\tv[297,4] = 7\n\t\tv[298,4] = 17\n\t\tv[299,4] = 31\n\t\tv[300,4] = 25\n\t\tv[301,4] = 1\n\t\tv[302,4] = 27\n\t\tv[303,4] = 5\n\t\tv[304,4] = 15\n\t\tv[305,4] = 27\n\t\tv[306,4] = 29\n\t\tv[307,4] = 29\n\t\tv[308,4] = 29\n\t\tv[309,4] = 25\n\t\tv[310,4] = 27\n\t\tv[311,4] = 25\n\t\tv[312,4] = 3\n\t\tv[313,4] = 21\n\t\tv[314,4] = 17\n\t\tv[315,4] = 25\n\t\tv[316,4] = 13\n\t\tv[317,4] = 15\n\t\tv[318,4] = 17\n\t\tv[319,4] = 13\n\t\tv[320,4] = 23\n\t\tv[321,4] = 9\n\t\tv[322,4] = 3\n\t\tv[323,4] = 11\n\t\tv[324,4] = 7\n\t\tv[325,4] = 9\n\t\tv[326,4] = 9\n\t\tv[327,4] = 7\n\t\tv[328,4] = 17\n\t\tv[329,4] = 7\n\t\tv[330,4] = 1\n\t\tv[331,4] = 27\n\t\tv[332,4] = 1\n\t\tv[333,4] = 9\n\t\tv[334,4] = 5\n\t\tv[335,4] = 31\n\t\tv[336,4] = 21\n\t\tv[337,4] = 25\n\t\tv[338,4] = 25\n\t\tv[339,4] = 21\n\t\tv[340,4] = 11\n\t\tv[341,4] = 1\n\t\tv[342,4] = 23\n\t\tv[343,4] = 19\n\t\tv[344,4] = 27\n\t\tv[345,4] = 15\n\t\tv[346,4] = 3\n\t\tv[347,4] = 5\n\t\tv[348,4] = 23\n\t\tv[349,4] = 9\n\t\tv[350,4] = 25\n\t\tv[351,4] = 7\n\t\tv[352,4] = 29\n\t\tv[353,4] = 11\n\t\tv[354,4] = 9\n\t\tv[355,4] = 13\n\t\tv[356,4] = 5\n\t\tv[357,4] = 11\n\t\tv[358,4] = 1\n\t\tv[359,4] = 3\n\t\tv[360,4] = 31\n\t\tv[361,4] = 27\n\t\tv[362,4] = 3\n\t\tv[363,4] = 17\n\t\tv[364,4] = 27\n\t\tv[365,4] = 11\n\t\tv[366,4] = 13\n\t\tv[367,4] = 15\n\t\tv[368,4] = 29\n\t\tv[369,4] = 15\n\t\tv[370,4] = 1\n\t\tv[371,4] = 15\n\t\tv[372,4] = 23\n\t\tv[373,4] = 25\n\t\tv[374,4] = 13\n\t\tv[375,4] = 21\n\t\tv[376,4] = 15\n\t\tv[377,4] = 3\n\t\tv[378,4] = 29\n\t\tv[379,4] = 29\n\t\tv[380,4] = 5\n\t\tv[381,4] = 25\n\t\tv[382,4] = 17\n\t\tv[383,4] = 11\n\t\tv[384,4] = 7\n\t\tv[385,4] = 15\n\t\tv[386,4] = 5\n\t\tv[387,4] = 21\n\t\tv[388,4] = 7\n\t\tv[389,4] = 31\n\t\tv[390,4] = 13\n\t\tv[391,4] = 11\n\t\tv[392,4] = 23\n\t\tv[393,4] = 5\n\t\tv[394,4] = 7\n\t\tv[395,4] = 23\n\t\tv[396,4] = 27\n\t\tv[397,4] = 21\n\t\tv[398,4] = 29\n\t\tv[399,4] = 15\n\t\tv[400,4] = 7\n\t\tv[401,4] = 27\n\t\tv[402,4] = 27\n\t\tv[403,4] = 19\n\t\tv[404,4] = 7\n\t\tv[405,4] = 15\n\t\tv[406,4] = 27\n\t\tv[407,4] = 27\n\t\tv[408,4] = 19\n\t\tv[409,4] = 19\n\t\tv[410,4] = 9\n\t\tv[411,4] = 15\n\t\tv[412,4] = 1\n\t\tv[413,4] = 3\n\t\tv[414,4] = 29\n\t\tv[415,4] = 29\n\t\tv[416,4] = 5\n\t\tv[417,4] = 27\n\t\tv[418,4] = 31\n\t\tv[419,4] = 9\n\t\tv[420,4] = 1\n\t\tv[421,4] = 7\n\t\tv[422,4] = 3\n\t\tv[423,4] = 19\n\t\tv[424,4] = 19\n\t\tv[425,4] = 29\n\t\tv[426,4] = 9\n\t\tv[427,4] = 3\n\t\tv[428,4] = 21\n\t\tv[429,4] = 31\n\t\tv[430,4] = 29\n\t\tv[431,4] = 25\n\t\tv[432,4] = 1\n\t\tv[433,4] = 3\n\t\tv[434,4] = 9\n\t\tv[435,4] = 27\n\t\tv[436,4] = 5\n\t\tv[437,4] = 27\n\t\tv[438,4] = 25\n\t\tv[439,4] = 21\n\t\tv[440,4] = 11\n\t\tv[441,4] = 29\n\t\tv[442,4] = 31\n\t\tv[443,4] = 27\n\t\tv[444,4] = 21\n\t\tv[445,4] = 29\n\t\tv[446,4] = 17\n\t\tv[447,4] = 9\n\t\tv[448,4] = 17\n\t\tv[449,4] = 13\n\t\tv[450,4] = 11\n\t\tv[451,4] = 25\n\t\tv[452,4] = 15\n\t\tv[453,4] = 21\n\t\tv[454,4] = 11\n\t\tv[455,4] = 19\n\t\tv[456,4] = 31\n\t\tv[457,4] = 3\n\t\tv[458,4] = 19\n\t\tv[459,4] = 5\n\t\tv[460,4] = 3\n\t\tv[461,4] = 3\n\t\tv[462,4] = 9\n\t\tv[463,4] = 13\n\t\tv[464,4] = 13\n\t\tv[465,4] = 3\n\t\tv[466,4] = 29\n\t\tv[467,4] = 7\n\t\tv[468,4] = 5\n\t\tv[469,4] = 9\n\t\tv[470,4] = 23\n\t\tv[471,4] = 13\n\t\tv[472,4] = 21\n\t\tv[473,4] = 23\n\t\tv[474,4] = 21\n\t\tv[475,4] = 31\n\t\tv[476,4] = 11\n\t\tv[477,4] = 7\n\t\tv[478,4] = 7\n\t\tv[479,4] = 3\n\t\tv[480,4] = 23\n\t\tv[481,4] = 1\n\t\tv[482,4] = 23\n\t\tv[483,4] = 5\n\t\tv[484,4] = 9\n\t\tv[485,4] = 17\n\t\tv[486,4] = 21\n\t\tv[487,4] = 1\n\t\tv[488,4] = 17\n\t\tv[489,4] = 29\n\t\tv[490,4] = 7\n\t\tv[491,4] = 5\n\t\tv[492,4] = 17\n\t\tv[493,4] = 13\n\t\tv[494,4] = 25\n\t\tv[495,4] = 17\n\t\tv[496,4] = 9\n\t\tv[497,4] = 19\n\t\tv[498,4] = 9\n\t\tv[499,4] = 5\n\t\tv[500,4] = 7\n\t\tv[501,4] = 21\n\t\tv[502,4] = 19\n\t\tv[503,4] = 13\n\t\tv[504,4] = 9\n\t\tv[505,4] = 7\n\t\tv[506,4] = 3\n\t\tv[507,4] = 9\n\t\tv[508,4] = 3\n\t\tv[509,4] = 15\n\t\tv[510,4] = 31\n\t\tv[511,4] = 29\n\t\tv[512,4] = 29\n\t\tv[513,4] = 25\n\t\tv[514,4] = 13\n\t\tv[515,4] = 9\n\t\tv[516,4] = 21\n\t\tv[517,4] = 9\n\t\tv[518,4] = 31\n\t\tv[519,4] = 7\n\t\tv[520,4] = 15\n\t\tv[521,4] = 5\n\t\tv[522,4] = 31\n\t\tv[523,4] = 7\n\t\tv[524,4] = 15\n\t\tv[525,4] = 27\n\t\tv[526,4] = 25\n\t\tv[527,4] = 19\n\t\tv[528,4] = 9\n\t\tv[529,4] = 9\n\t\tv[530,4] = 25\n\t\tv[531,4] = 25\n\t\tv[532,4] = 23\n\t\tv[533,4] = 1\n\t\tv[534,4] = 9\n\t\tv[535,4] = 7\n\t\tv[536,4] = 11\n\t\tv[537,4] = 15\n\t\tv[538,4] = 19\n\t\tv[539,4] = 15\n\t\tv[540,4] = 27\n\t\tv[541,4] = 17\n\t\tv[542,4] = 11\n\t\tv[543,4] = 11\n\t\tv[544,4] = 31\n\t\tv[545,4] = 13\n\t\tv[546,4] = 25\n\t\tv[547,4] = 25\n\t\tv[548,4] = 9\n\t\tv[549,4] = 7\n\t\tv[550,4] = 13\n\t\tv[551,4] = 29\n\t\tv[552,4] = 19\n\t\tv[553,4] = 5\n\t\tv[554,4] = 19\n\t\tv[555,4] = 31\n\t\tv[556,4] = 25\n\t\tv[557,4] = 13\n\t\tv[558,4] = 25\n\t\tv[559,4] = 15\n\t\tv[560,4] = 5\n\t\tv[561,4] = 9\n\t\tv[562,4] = 29\n\t\tv[563,4] = 31\n\t\tv[564,4] = 9\n\t\tv[565,4] = 29\n\t\tv[566,4] = 27\n\t\tv[567,4] = 25\n\t\tv[568,4] = 27\n\t\tv[569,4] = 11\n\t\tv[570,4] = 17\n\t\tv[571,4] = 5\n\t\tv[572,4] = 17\n\t\tv[573,4] = 3\n\t\tv[574,4] = 23\n\t\tv[575,4] = 15\n\t\tv[576,4] = 9\n\t\tv[577,4] = 9\n\t\tv[578,4] = 17\n\t\tv[579,4] = 17\n\t\tv[580,4] = 31\n\t\tv[581,4] = 11\n\t\tv[582,4] = 19\n\t\tv[583,4] = 25\n\t\tv[584,4] = 13\n\t\tv[585,4] = 23\n\t\tv[586,4] = 15\n\t\tv[587,4] = 25\n\t\tv[588,4] = 21\n\t\tv[589,4] = 31\n\t\tv[590,4] = 19\n\t\tv[591,4] = 3\n\t\tv[592,4] = 11\n\t\tv[593,4] = 25\n\t\tv[594,4] = 7\n\t\tv[595,4] = 15\n\t\tv[596,4] = 19\n\t\tv[597,4] = 7\n\t\tv[598,4] = 5\n\t\tv[599,4] = 3\n\t\tv[600,4] = 13\n\t\tv[601,4] = 13\n\t\tv[602,4] = 1\n\t\tv[603,4] = 23\n\t\tv[604,4] = 5\n\t\tv[605,4] = 25\n\t\tv[606,4] = 11\n\t\tv[607,4] = 25\n\t\tv[608,4] = 15\n\t\tv[609,4] = 13\n\t\tv[610,4] = 21\n\t\tv[611,4] = 11\n\t\tv[612,4] = 23\n\t\tv[613,4] = 29\n\t\tv[614,4] = 5\n\t\tv[615,4] = 17\n\t\tv[616,4] = 27\n\t\tv[617,4] = 9\n\t\tv[618,4] = 19\n\t\tv[619,4] = 15\n\t\tv[620,4] = 5\n\t\tv[621,4] = 29\n\t\tv[622,4] = 23\n\t\tv[623,4] = 19\n\t\tv[624,4] = 1\n\t\tv[625,4] = 27\n\t\tv[626,4] = 3\n\t\tv[627,4] = 23\n\t\tv[628,4] = 21\n\t\tv[629,4] = 19\n\t\tv[630,4] = 27\n\t\tv[631,4] = 11\n\t\tv[632,4] = 17\n\t\tv[633,4] = 13\n\t\tv[634,4] = 27\n\t\tv[635,4] = 11\n\t\tv[636,4] = 31\n\t\tv[637,4] = 23\n\t\tv[638,4] = 5\n\t\tv[639,4] = 9\n\t\tv[640,4] = 21\n\t\tv[641,4] = 31\n\t\tv[642,4] = 29\n\t\tv[643,4] = 11\n\t\tv[644,4] = 21\n\t\tv[645,4] = 17\n\t\tv[646,4] = 15\n\t\tv[647,4] = 7\n\t\tv[648,4] = 15\n\t\tv[649,4] = 7\n\t\tv[650,4] = 9\n\t\tv[651,4] = 21\n\t\tv[652,4] = 27\n\t\tv[653,4] = 25\n\t\tv[654,4] = 29\n\t\tv[655,4] = 11\n\t\tv[656,4] = 3\n\t\tv[657,4] = 21\n\t\tv[658,4] = 13\n\t\tv[659,4] = 23\n\t\tv[660,4] = 19\n\t\tv[661,4] = 27\n\t\tv[662,4] = 17\n\t\tv[663,4] = 29\n\t\tv[664,4] = 25\n\t\tv[665,4] = 17\n\t\tv[666,4] = 9\n\t\tv[667,4] = 1\n\t\tv[668,4] = 19\n\t\tv[669,4] = 23\n\t\tv[670,4] = 5\n\t\tv[671,4] = 23\n\t\tv[672,4] = 1\n\t\tv[673,4] = 17\n\t\tv[674,4] = 17\n\t\tv[675,4] = 13\n\t\tv[676,4] = 27\n\t\tv[677,4] = 23\n\t\tv[678,4] = 7\n\t\tv[679,4] = 7\n\t\tv[680,4] = 11\n\t\tv[681,4] = 13\n\t\tv[682,4] = 17\n\t\tv[683,4] = 13\n\t\tv[684,4] = 11\n\t\tv[685,4] = 21\n\t\tv[686,4] = 13\n\t\tv[687,4] = 23\n\t\tv[688,4] = 1\n\t\tv[689,4] = 27\n\t\tv[690,4] = 13\n\t\tv[691,4] = 9\n\t\tv[692,4] = 7\n\t\tv[693,4] = 1\n\t\tv[694,4] = 27\n\t\tv[695,4] = 29\n\t\tv[696,4] = 5\n\t\tv[697,4] = 13\n\t\tv[698,4] = 25\n\t\tv[699,4] = 21\n\t\tv[700,4] = 3\n\t\tv[701,4] = 31\n\t\tv[702,4] = 15\n\t\tv[703,4] = 13\n\t\tv[704,4] = 3\n\t\tv[705,4] = 19\n\t\tv[706,4] = 13\n\t\tv[707,4] = 1\n\t\tv[708,4] = 27\n\t\tv[709,4] = 15\n\t\tv[710,4] = 17\n\t\tv[711,4] = 1\n\t\tv[712,4] = 3\n\t\tv[713,4] = 13\n\t\tv[714,4] = 13\n\t\tv[715,4] = 13\n\t\tv[716,4] = 31\n\t\tv[717,4] = 29\n\t\tv[718,4] = 27\n\t\tv[719,4] = 7\n\t\tv[720,4] = 7\n\t\tv[721,4] = 21\n\t\tv[722,4] = 29\n\t\tv[723,4] = 15\n\t\tv[724,4] = 17\n\t\tv[725,4] = 17\n\t\tv[726,4] = 21\n\t\tv[727,4] = 19\n\t\tv[728,4] = 17\n\t\tv[729,4] = 3\n\t\tv[730,4] = 15\n\t\tv[731,4] = 5\n\t\tv[732,4] = 27\n\t\tv[733,4] = 27\n\t\tv[734,4] = 3\n\t\tv[735,4] = 31\n\t\tv[736,4] = 31\n\t\tv[737,4] = 7\n\t\tv[738,4] = 21\n\t\tv[739,4] = 3\n\t\tv[740,4] = 13\n\t\tv[741,4] = 11\n\t\tv[742,4] = 17\n\t\tv[743,4] = 27\n\t\tv[744,4] = 25\n\t\tv[745,4] = 1\n\t\tv[746,4] = 9\n\t\tv[747,4] = 7\n\t\tv[748,4] = 29\n\t\tv[749,4] = 27\n\t\tv[750,4] = 21\n\t\tv[751,4] = 23\n\t\tv[752,4] = 13\n\t\tv[753,4] = 25\n\t\tv[754,4] = 29\n\t\tv[755,4] = 15\n\t\tv[756,4] = 17\n\t\tv[757,4] = 29\n\t\tv[758,4] = 9\n\t\tv[759,4] = 15\n\t\tv[760,4] = 3\n\t\tv[761,4] = 21\n\t\tv[762,4] = 15\n\t\tv[763,4] = 17\n\t\tv[764,4] = 17\n\t\tv[765,4] = 31\n\t\tv[766,4] = 9\n\t\tv[767,4] = 9\n\t\tv[768,4] = 23\n\t\tv[769,4] = 19\n\t\tv[770,4] = 25\n\t\tv[771,4] = 3\n\t\tv[772,4] = 1\n\t\tv[773,4] = 11\n\t\tv[774,4] = 27\n\t\tv[775,4] = 29\n\t\tv[776,4] = 1\n\t\tv[777,4] = 31\n\t\tv[778,4] = 29\n\t\tv[779,4] = 25\n\t\tv[780,4] = 29\n\t\tv[781,4] = 1\n\t\tv[782,4] = 23\n\t\tv[783,4] = 29\n\t\tv[784,4] = 25\n\t\tv[785,4] = 13\n\t\tv[786,4] = 3\n\t\tv[787,4] = 31\n\t\tv[788,4] = 25\n\t\tv[789,4] = 5\n\t\tv[790,4] = 5\n\t\tv[791,4] = 11\n\t\tv[792,4] = 3\n\t\tv[793,4] = 21\n\t\tv[794,4] = 9\n\t\tv[795,4] = 23\n\t\tv[796,4] = 7\n\t\tv[797,4] = 11\n\t\tv[798,4] = 23\n\t\tv[799,4] = 11\n\t\tv[800,4] = 1\n\t\tv[801,4] = 1\n\t\tv[802,4] = 3\n\t\tv[803,4] = 23\n\t\tv[804,4] = 25\n\t\tv[805,4] = 23\n\t\tv[806,4] = 1\n\t\tv[807,4] = 23\n\t\tv[808,4] = 3\n\t\tv[809,4] = 27\n\t\tv[810,4] = 9\n\t\tv[811,4] = 27\n\t\tv[812,4] = 3\n\t\tv[813,4] = 23\n\t\tv[814,4] = 25\n\t\tv[815,4] = 19\n\t\tv[816,4] = 29\n\t\tv[817,4] = 29\n\t\tv[818,4] = 13\n\t\tv[819,4] = 27\n\t\tv[820,4] = 5\n\t\tv[821,4] = 9\n\t\tv[822,4] = 29\n\t\tv[823,4] = 29\n\t\tv[824,4] = 13\n\t\tv[825,4] = 17\n\t\tv[826,4] = 3\n\t\tv[827,4] = 23\n\t\tv[828,4] = 19\n\t\tv[829,4] = 7\n\t\tv[830,4] = 13\n\t\tv[831,4] = 3\n\t\tv[832,4] = 19\n\t\tv[833,4] = 23\n\t\tv[834,4] = 5\n\t\tv[835,4] = 29\n\t\tv[836,4] = 29\n\t\tv[837,4] = 13\n\t\tv[838,4] = 13\n\t\tv[839,4] = 5\n\t\tv[840,4] = 19\n\t\tv[841,4] = 5\n\t\tv[842,4] = 17\n\t\tv[843,4] = 9\n\t\tv[844,4] = 11\n\t\tv[845,4] = 11\n\t\tv[846,4] = 29\n\t\tv[847,4] = 27\n\t\tv[848,4] = 23\n\t\tv[849,4] = 19\n\t\tv[850,4] = 17\n\t\tv[851,4] = 25\n\t\tv[852,4] = 13\n\t\tv[853,4] = 1\n\t\tv[854,4] = 13\n\t\tv[855,4] = 3\n\t\tv[856,4] = 11\n\t\tv[857,4] = 1\n\t\tv[858,4] = 17\n\t\tv[859,4] = 29\n\t\tv[860,4] = 1\n\t\tv[861,4] = 13\n\t\tv[862,4] = 17\n\t\tv[863,4] = 9\n\t\tv[864,4] = 17\n\t\tv[865,4] = 21\n\t\tv[866,4] = 1\n\t\tv[867,4] = 11\n\t\tv[868,4] = 1\n\t\tv[869,4] = 1\n\t\tv[870,4] = 25\n\t\tv[871,4] = 5\n\t\tv[872,4] = 7\n\t\tv[873,4] = 29\n\t\tv[874,4] = 29\n\t\tv[875,4] = 19\n\t\tv[876,4] = 19\n\t\tv[877,4] = 1\n\t\tv[878,4] = 29\n\t\tv[879,4] = 13\n\t\tv[880,4] = 3\n\t\tv[881,4] = 1\n\t\tv[882,4] = 31\n\t\tv[883,4] = 15\n\t\tv[884,4] = 13\n\t\tv[885,4] = 3\n\t\tv[886,4] = 1\n\t\tv[887,4] = 11\n\t\tv[888,4] = 19\n\t\tv[889,4] = 5\n\t\tv[890,4] = 29\n\t\tv[891,4] = 13\n\t\tv[892,4] = 29\n\t\tv[893,4] = 23\n\t\tv[894,4] = 3\n\t\tv[895,4] = 1\n\t\tv[896,4] = 31\n\t\tv[897,4] = 13\n\t\tv[898,4] = 19\n\t\tv[899,4] = 17\n\t\tv[900,4] = 5\n\t\tv[901,4] = 5\n\t\tv[902,4] = 1\n\t\tv[903,4] = 29\n\t\tv[904,4] = 23\n\t\tv[905,4] = 3\n\t\tv[906,4] = 19\n\t\tv[907,4] = 25\n\t\tv[908,4] = 19\n\t\tv[909,4] = 27\n\t\tv[910,4] = 9\n\t\tv[911,4] = 27\n\t\tv[912,4] = 13\n\t\tv[913,4] = 15\n\t\tv[914,4] = 29\n\t\tv[915,4] = 23\n\t\tv[916,4] = 13\n\t\tv[917,4] = 25\n\t\tv[918,4] = 25\n\t\tv[919,4] = 17\n\t\tv[920,4] = 19\n\t\tv[921,4] = 17\n\t\tv[922,4] = 15\n\t\tv[923,4] = 27\n\t\tv[924,4] = 3\n\t\tv[925,4] = 25\n\t\tv[926,4] = 17\n\t\tv[927,4] = 27\n\t\tv[928,4] = 3\n\t\tv[929,4] = 27\n\t\tv[930,4] = 31\n\t\tv[931,4] = 23\n\t\tv[932,4] = 13\n\t\tv[933,4] = 31\n\t\tv[934,4] = 11\n\t\tv[935,4] = 15\n\t\tv[936,4] = 7\n\t\tv[937,4] = 21\n\t\tv[938,4] = 19\n\t\tv[939,4] = 27\n\t\tv[940,4] = 19\n\t\tv[941,4] = 21\n\t\tv[942,4] = 29\n\t\tv[943,4] = 7\n\t\tv[944,4] = 31\n\t\tv[945,4] = 13\n\t\tv[946,4] = 9\n\t\tv[947,4] = 9\n\t\tv[948,4] = 7\n\t\tv[949,4] = 21\n\t\tv[950,4] = 13\n\t\tv[951,4] = 11\n\t\tv[952,4] = 9\n\t\tv[953,4] = 11\n\t\tv[954,4] = 29\n\t\tv[955,4] = 19\n\t\tv[956,4] = 11\n\t\tv[957,4] = 19\n\t\tv[958,4] = 21\n\t\tv[959,4] = 5\n\t\tv[960,4] = 29\n\t\tv[961,4] = 13\n\t\tv[962,4] = 7\n\t\tv[963,4] = 19\n\t\tv[964,4] = 19\n\t\tv[965,4] = 27\n\t\tv[966,4] = 23\n\t\tv[967,4] = 31\n\t\tv[968,4] = 1\n\t\tv[969,4] = 27\n\t\tv[970,4] = 21\n\t\tv[971,4] = 7\n\t\tv[972,4] = 3\n\t\tv[973,4] = 7\n\t\tv[974,4] = 11\n\t\tv[975,4] = 23\n\t\tv[976,4] = 13\n\t\tv[977,4] = 29\n\t\tv[978,4] = 11\n\t\tv[979,4] = 31\n\t\tv[980,4] = 19\n\t\tv[981,4] = 1\n\t\tv[982,4] = 5\n\t\tv[983,4] = 5\n\t\tv[984,4] = 11\n\t\tv[985,4] = 5\n\t\tv[986,4] = 3\n\t\tv[987,4] = 27\n\t\tv[988,4] = 5\n\t\tv[989,4] = 7\n\t\tv[990,4] = 11\n\t\tv[991,4] = 31\n\t\tv[992,4] = 1\n\t\tv[993,4] = 27\n\t\tv[994,4] = 31\n\t\tv[995,4] = 31\n\t\tv[996,4] = 23\n\t\tv[997,4] = 5\n\t\tv[998,4] = 21\n\t\tv[999,4] = 27\n\t\tv[1000,4] = 9\n\t\tv[1001,4] = 25\n\t\tv[1002,4] = 3\n\t\tv[1003,4] = 15\n\t\tv[1004,4] = 19\n\t\tv[1005,4] = 1\n\t\tv[1006,4] = 19\n\t\tv[1007,4] = 9\n\t\tv[1008,4] = 5\n\t\tv[1009,4] = 25\n\t\tv[1010,4] = 21\n\t\tv[1011,4] = 15\n\t\tv[1012,4] = 25\n\t\tv[1013,4] = 29\n\t\tv[1014,4] = 15\n\t\tv[1015,4] = 21\n\t\tv[1016,4] = 11\n\t\tv[1017,4] = 19\n\t\tv[1018,4] = 15\n\t\tv[1019,4] = 3\n\t\tv[1020,4] = 7\n\t\tv[1021,4] = 13\n\t\tv[1022,4] = 11\n\t\tv[1023,4] = 25\n\t\tv[1024,4] = 17\n\t\tv[1025,4] = 1\n\t\tv[1026,4] = 5\n\t\tv[1027,4] = 31\n\t\tv[1028,4] = 13\n\t\tv[1029,4] = 29\n\t\tv[1030,4] = 23\n\t\tv[1031,4] = 9\n\t\tv[1032,4] = 5\n\t\tv[1033,4] = 29\n\t\tv[1034,4] = 7\n\t\tv[1035,4] = 17\n\t\tv[1036,4] = 27\n\t\tv[1037,4] = 7\n\t\tv[1038,4] = 17\n\t\tv[1039,4] = 31\n\t\tv[1040,4] = 9\n\t\tv[1041,4] = 31\n\t\tv[1042,4] = 9\n\t\tv[1043,4] = 9\n\t\tv[1044,4] = 7\n\t\tv[1045,4] = 21\n\t\tv[1046,4] = 3\n\t\tv[1047,4] = 3\n\t\tv[1048,4] = 3\n\t\tv[1049,4] = 9\n\t\tv[1050,4] = 11\n\t\tv[1051,4] = 21\n\t\tv[1052,4] = 11\n\t\tv[1053,4] = 31\n\t\tv[1054,4] = 9\n\t\tv[1055,4] = 25\n\t\tv[1056,4] = 5\n\t\tv[1057,4] = 1\n\t\tv[1058,4] = 31\n\t\tv[1059,4] = 13\n\t\tv[1060,4] = 29\n\t\tv[1061,4] = 9\n\t\tv[1062,4] = 29\n\t\tv[1063,4] = 1\n\t\tv[1064,4] = 11\n\t\tv[1065,4] = 19\n\t\tv[1066,4] = 7\n\t\tv[1067,4] = 27\n\t\tv[1068,4] = 13\n\t\tv[1069,4] = 31\n\t\tv[1070,4] = 7\n\t\tv[1071,4] = 31\n\t\tv[1072,4] = 7\n\t\tv[1073,4] = 25\n\t\tv[1074,4] = 23\n\t\tv[1075,4] = 21\n\t\tv[1076,4] = 29\n\t\tv[1077,4] = 11\n\t\tv[1078,4] = 11\n\t\tv[1079,4] = 13\n\t\tv[1080,4] = 11\n\t\tv[1081,4] = 27\n\t\tv[1082,4] = 1\n\t\tv[1083,4] = 23\n\t\tv[1084,4] = 31\n\t\tv[1085,4] = 21\n\t\tv[1086,4] = 23\n\t\tv[1087,4] = 21\n\t\tv[1088,4] = 19\n\t\tv[1089,4] = 31\n\t\tv[1090,4] = 5\n\t\tv[1091,4] = 31\n\t\tv[1092,4] = 25\n\t\tv[1093,4] = 25\n\t\tv[1094,4] = 19\n\t\tv[1095,4] = 17\n\t\tv[1096,4] = 11\n\t\tv[1097,4] = 25\n\t\tv[1098,4] = 7\n\t\tv[1099,4] = 13\n\t\tv[1100,4] = 1\n\t\tv[1101,4] = 29\n\t\tv[1102,4] = 17\n\t\tv[1103,4] = 23\n\t\tv[1104,4] = 15\n\t\tv[1105,4] = 7\n\t\tv[1106,4] = 29\n\t\tv[1107,4] = 17\n\t\tv[1108,4] = 13\n\t\tv[1109,4] = 3\n\t\tv[1110,4] = 17\n\n\t\tv[13,5] = 37\n\t\tv[14,5] = 33\n\t\tv[15,5] = 7\n\t\tv[16,5] = 5\n\t\tv[17,5] = 11\n\t\tv[18,5] = 39\n\t\tv[19,5] = 63\n\t\tv[20,5] = 59\n\t\tv[21,5] = 17\n\t\tv[22,5] = 15\n\t\tv[23,5] = 23\n\t\tv[24,5] = 29\n\t\tv[25,5] = 3\n\t\tv[26,5] = 21\n\t\tv[27,5] = 13\n\t\tv[28,5] = 31\n\t\tv[29,5] = 25\n\t\tv[30,5] = 9\n\t\tv[31,5] = 49\n\t\tv[32,5] = 33\n\t\tv[33,5] = 19\n\t\tv[34,5] = 29\n\t\tv[35,5] = 11\n\t\tv[36,5] = 19\n\t\tv[37,5] = 27\n\t\tv[38,5] = 15\n\t\tv[39,5] = 25\n\t\tv[40,5] = 63\n\t\tv[41,5] = 55\n\t\tv[42,5] = 17\n\t\tv[43,5] = 63\n\t\tv[44,5] = 49\n\t\tv[45,5] = 19\n\t\tv[46,5] = 41\n\t\tv[47,5] = 59\n\t\tv[48,5] = 3\n\t\tv[49,5] = 57\n\t\tv[50,5] = 33\n\t\tv[51,5] = 49\n\t\tv[52,5] = 53\n\t\tv[53,5] = 57\n\t\tv[54,5] = 57\n\t\tv[55,5] = 39\n\t\tv[56,5] = 21\n\t\tv[57,5] = 7\n\t\tv[58,5] = 53\n\t\tv[59,5] = 9\n\t\tv[60,5] = 55\n\t\tv[61,5] = 15\n\t\tv[62,5] = 59\n\t\tv[63,5] = 19\n\t\tv[64,5] = 49\n\t\tv[65,5] = 31\n\t\tv[66,5] = 3\n\t\tv[67,5] = 39\n\t\tv[68,5] = 5\n\t\tv[69,5] = 5\n\t\tv[70,5] = 41\n\t\tv[71,5] = 9\n\t\tv[72,5] = 19\n\t\tv[73,5] = 9\n\t\tv[74,5] = 57\n\t\tv[75,5] = 25\n\t\tv[76,5] = 1\n\t\tv[77,5] = 15\n\t\tv[78,5] = 51\n\t\tv[79,5] = 11\n\t\tv[80,5] = 19\n\t\tv[81,5] = 61\n\t\tv[82,5] = 53\n\t\tv[83,5] = 29\n\t\tv[84,5] = 19\n\t\tv[85,5] = 11\n\t\tv[86,5] = 9\n\t\tv[87,5] = 21\n\t\tv[88,5] = 19\n\t\tv[89,5] = 43\n\t\tv[90,5] = 13\n\t\tv[91,5] = 13\n\t\tv[92,5] = 41\n\t\tv[93,5] = 25\n\t\tv[94,5] = 31\n\t\tv[95,5] = 9\n\t\tv[96,5] = 11\n\t\tv[97,5] = 19\n\t\tv[98,5] = 5\n\t\tv[99,5] = 53\n\t\tv[100,5] = 37\n\t\tv[101,5] = 7\n\t\tv[102,5] = 51\n\t\tv[103,5] = 45\n\t\tv[104,5] = 7\n\t\tv[105,5] = 7\n\t\tv[106,5] = 61\n\t\tv[107,5] = 23\n\t\tv[108,5] = 45\n\t\tv[109,5] = 7\n\t\tv[110,5] = 59\n\t\tv[111,5] = 41\n\t\tv[112,5] = 1\n\t\tv[113,5] = 29\n\t\tv[114,5] = 61\n\t\tv[115,5] = 37\n\t\tv[116,5] = 27\n\t\tv[117,5] = 47\n\t\tv[118,5] = 15\n\t\tv[119,5] = 31\n\t\tv[120,5] = 35\n\t\tv[121,5] = 31\n\t\tv[122,5] = 17\n\t\tv[123,5] = 51\n\t\tv[124,5] = 13\n\t\tv[125,5] = 25\n\t\tv[126,5] = 45\n\t\tv[127,5] = 5\n\t\tv[128,5] = 5\n\t\tv[129,5] = 33\n\t\tv[130,5] = 39\n\t\tv[131,5] = 5\n\t\tv[132,5] = 47\n\t\tv[133,5] = 29\n\t\tv[134,5] = 35\n\t\tv[135,5] = 47\n\t\tv[136,5] = 63\n\t\tv[137,5] = 45\n\t\tv[138,5] = 37\n\t\tv[139,5] = 47\n\t\tv[140,5] = 59\n\t\tv[141,5] = 21\n\t\tv[142,5] = 59\n\t\tv[143,5] = 33\n\t\tv[144,5] = 51\n\t\tv[145,5] = 9\n\t\tv[146,5] = 27\n\t\tv[147,5] = 13\n\t\tv[148,5] = 25\n\t\tv[149,5] = 43\n\t\tv[150,5] = 3\n\t\tv[151,5] = 17\n\t\tv[152,5] = 21\n\t\tv[153,5] = 59\n\t\tv[154,5] = 61\n\t\tv[155,5] = 27\n\t\tv[156,5] = 47\n\t\tv[157,5] = 57\n\t\tv[158,5] = 11\n\t\tv[159,5] = 17\n\t\tv[160,5] = 39\n\t\tv[161,5] = 1\n\t\tv[162,5] = 63\n\t\tv[163,5] = 21\n\t\tv[164,5] = 59\n\t\tv[165,5] = 17\n\t\tv[166,5] = 13\n\t\tv[167,5] = 31\n\t\tv[168,5] = 3\n\t\tv[169,5] = 31\n\t\tv[170,5] = 7\n\t\tv[171,5] = 9\n\t\tv[172,5] = 27\n\t\tv[173,5] = 37\n\t\tv[174,5] = 23\n\t\tv[175,5] = 31\n\t\tv[176,5] = 9\n\t\tv[177,5] = 45\n\t\tv[178,5] = 43\n\t\tv[179,5] = 31\n\t\tv[180,5] = 63\n\t\tv[181,5] = 21\n\t\tv[182,5] = 39\n\t\tv[183,5] = 51\n\t\tv[184,5] = 27\n\t\tv[185,5] = 7\n\t\tv[186,5] = 53\n\t\tv[187,5] = 11\n\t\tv[188,5] = 1\n\t\tv[189,5] = 59\n\t\tv[190,5] = 39\n\t\tv[191,5] = 23\n\t\tv[192,5] = 49\n\t\tv[193,5] = 23\n\t\tv[194,5] = 7\n\t\tv[195,5] = 55\n\t\tv[196,5] = 59\n\t\tv[197,5] = 3\n\t\tv[198,5] = 19\n\t\tv[199,5] = 35\n\t\tv[200,5] = 13\n\t\tv[201,5] = 9\n\t\tv[202,5] = 13\n\t\tv[203,5] = 15\n\t\tv[204,5] = 23\n\t\tv[205,5] = 9\n\t\tv[206,5] = 7\n\t\tv[207,5] = 43\n\t\tv[208,5] = 55\n\t\tv[209,5] = 3\n\t\tv[210,5] = 19\n\t\tv[211,5] = 9\n\t\tv[212,5] = 27\n\t\tv[213,5] = 33\n\t\tv[214,5] = 27\n\t\tv[215,5] = 49\n\t\tv[216,5] = 23\n\t\tv[217,5] = 47\n\t\tv[218,5] = 19\n\t\tv[219,5] = 7\n\t\tv[220,5] = 11\n\t\tv[221,5] = 55\n\t\tv[222,5] = 27\n\t\tv[223,5] = 35\n\t\tv[224,5] = 5\n\t\tv[225,5] = 5\n\t\tv[226,5] = 55\n\t\tv[227,5] = 35\n\t\tv[228,5] = 37\n\t\tv[229,5] = 9\n\t\tv[230,5] = 33\n\t\tv[231,5] = 29\n\t\tv[232,5] = 47\n\t\tv[233,5] = 25\n\t\tv[234,5] = 11\n\t\tv[235,5] = 47\n\t\tv[236,5] = 53\n\t\tv[237,5] = 61\n\t\tv[238,5] = 59\n\t\tv[239,5] = 3\n\t\tv[240,5] = 53\n\t\tv[241,5] = 47\n\t\tv[242,5] = 5\n\t\tv[243,5] = 19\n\t\tv[244,5] = 59\n\t\tv[245,5] = 5\n\t\tv[246,5] = 47\n\t\tv[247,5] = 23\n\t\tv[248,5] = 45\n\t\tv[249,5] = 53\n\t\tv[250,5] = 3\n\t\tv[251,5] = 49\n\t\tv[252,5] = 61\n\t\tv[253,5] = 47\n\t\tv[254,5] = 39\n\t\tv[255,5] = 29\n\t\tv[256,5] = 17\n\t\tv[257,5] = 57\n\t\tv[258,5] = 5\n\t\tv[259,5] = 17\n\t\tv[260,5] = 31\n\t\tv[261,5] = 23\n\t\tv[262,5] = 41\n\t\tv[263,5] = 39\n\t\tv[264,5] = 5\n\t\tv[265,5] = 27\n\t\tv[266,5] = 7\n\t\tv[267,5] = 29\n\t\tv[268,5] = 29\n\t\tv[269,5] = 33\n\t\tv[270,5] = 31\n\t\tv[271,5] = 41\n\t\tv[272,5] = 31\n\t\tv[273,5] = 29\n\t\tv[274,5] = 17\n\t\tv[275,5] = 29\n\t\tv[276,5] = 29\n\t\tv[277,5] = 9\n\t\tv[278,5] = 9\n\t\tv[279,5] = 31\n\t\tv[280,5] = 27\n\t\tv[281,5] = 53\n\t\tv[282,5] = 35\n\t\tv[283,5] = 5\n\t\tv[284,5] = 61\n\t\tv[285,5] = 1\n\t\tv[286,5] = 49\n\t\tv[287,5] = 13\n\t\tv[288,5] = 57\n\t\tv[289,5] = 29\n\t\tv[290,5] = 5\n\t\tv[291,5] = 21\n\t\tv[292,5] = 43\n\t\tv[293,5] = 25\n\t\tv[294,5] = 57\n\t\tv[295,5] = 49\n\t\tv[296,5] = 37\n\t\tv[297,5] = 27\n\t\tv[298,5] = 11\n\t\tv[299,5] = 61\n\t\tv[300,5] = 37\n\t\tv[301,5] = 49\n\t\tv[302,5] = 5\n\t\tv[303,5] = 63\n\t\tv[304,5] = 63\n\t\tv[305,5] = 3\n\t\tv[306,5] = 45\n\t\tv[307,5] = 37\n\t\tv[308,5] = 63\n\t\tv[309,5] = 21\n\t\tv[310,5] = 21\n\t\tv[311,5] = 19\n\t\tv[312,5] = 27\n\t\tv[313,5] = 59\n\t\tv[314,5] = 21\n\t\tv[315,5] = 45\n\t\tv[316,5] = 23\n\t\tv[317,5] = 13\n\t\tv[318,5] = 15\n\t\tv[319,5] = 3\n\t\tv[320,5] = 43\n\t\tv[321,5] = 63\n\t\tv[322,5] = 39\n\t\tv[323,5] = 19\n\t\tv[324,5] = 63\n\t\tv[325,5] = 31\n\t\tv[326,5] = 41\n\t\tv[327,5] = 41\n\t\tv[328,5] = 15\n\t\tv[329,5] = 43\n\t\tv[330,5] = 63\n\t\tv[331,5] = 53\n\t\tv[332,5] = 1\n\t\tv[333,5] = 63\n\t\tv[334,5] = 31\n\t\tv[335,5] = 7\n\t\tv[336,5] = 17\n\t\tv[337,5] = 11\n\t\tv[338,5] = 61\n\t\tv[339,5] = 31\n\t\tv[340,5] = 51\n\t\tv[341,5] = 37\n\t\tv[342,5] = 29\n\t\tv[343,5] = 59\n\t\tv[344,5] = 25\n\t\tv[345,5] = 63\n\t\tv[346,5] = 59\n\t\tv[347,5] = 47\n\t\tv[348,5] = 15\n\t\tv[349,5] = 27\n\t\tv[350,5] = 19\n\t\tv[351,5] = 29\n\t\tv[352,5] = 45\n\t\tv[353,5] = 35\n\t\tv[354,5] = 55\n\t\tv[355,5] = 39\n\t\tv[356,5] = 19\n\t\tv[357,5] = 43\n\t\tv[358,5] = 21\n\t\tv[359,5] = 19\n\t\tv[360,5] = 13\n\t\tv[361,5] = 17\n\t\tv[362,5] = 51\n\t\tv[363,5] = 37\n\t\tv[364,5] = 5\n\t\tv[365,5] = 33\n\t\tv[366,5] = 35\n\t\tv[367,5] = 49\n\t\tv[368,5] = 25\n\t\tv[369,5] = 45\n\t\tv[370,5] = 1\n\t\tv[371,5] = 63\n\t\tv[372,5] = 47\n\t\tv[373,5] = 9\n\t\tv[374,5] = 63\n\t\tv[375,5] = 15\n\t\tv[376,5] = 25\n\t\tv[377,5] = 25\n\t\tv[378,5] = 15\n\t\tv[379,5] = 41\n\t\tv[380,5] = 13\n\t\tv[381,5] = 3\n\t\tv[382,5] = 19\n\t\tv[383,5] = 51\n\t\tv[384,5] = 49\n\t\tv[385,5] = 37\n\t\tv[386,5] = 25\n\t\tv[387,5] = 49\n\t\tv[388,5] = 13\n\t\tv[389,5] = 53\n\t\tv[390,5] = 47\n\t\tv[391,5] = 23\n\t\tv[392,5] = 35\n\t\tv[393,5] = 29\n\t\tv[394,5] = 33\n\t\tv[395,5] = 21\n\t\tv[396,5] = 35\n\t\tv[397,5] = 23\n\t\tv[398,5] = 3\n\t\tv[399,5] = 43\n\t\tv[400,5] = 31\n\t\tv[401,5] = 63\n\t\tv[402,5] = 9\n\t\tv[403,5] = 1\n\t\tv[404,5] = 61\n\t\tv[405,5] = 43\n\t\tv[406,5] = 3\n\t\tv[407,5] = 11\n\t\tv[408,5] = 55\n\t\tv[409,5] = 11\n\t\tv[410,5] = 35\n\t\tv[411,5] = 1\n\t\tv[412,5] = 63\n\t\tv[413,5] = 35\n\t\tv[414,5] = 49\n\t\tv[415,5] = 19\n\t\tv[416,5] = 45\n\t\tv[417,5] = 9\n\t\tv[418,5] = 57\n\t\tv[419,5] = 51\n\t\tv[420,5] = 1\n\t\tv[421,5] = 47\n\t\tv[422,5] = 41\n\t\tv[423,5] = 9\n\t\tv[424,5] = 11\n\t\tv[425,5] = 37\n\t\tv[426,5] = 19\n\t\tv[427,5] = 55\n\t\tv[428,5] = 23\n\t\tv[429,5] = 55\n\t\tv[430,5] = 55\n\t\tv[431,5] = 13\n\t\tv[432,5] = 7\n\t\tv[433,5] = 47\n\t\tv[434,5] = 37\n\t\tv[435,5] = 11\n\t\tv[436,5] = 43\n\t\tv[437,5] = 17\n\t\tv[438,5] = 3\n\t\tv[439,5] = 25\n\t\tv[440,5] = 19\n\t\tv[441,5] = 55\n\t\tv[442,5] = 59\n\t\tv[443,5] = 37\n\t\tv[444,5] = 33\n\t\tv[445,5] = 43\n\t\tv[446,5] = 1\n\t\tv[447,5] = 5\n\t\tv[448,5] = 21\n\t\tv[449,5] = 5\n\t\tv[450,5] = 63\n\t\tv[451,5] = 49\n\t\tv[452,5] = 61\n\t\tv[453,5] = 21\n\t\tv[454,5] = 51\n\t\tv[455,5] = 15\n\t\tv[456,5] = 19\n\t\tv[457,5] = 43\n\t\tv[458,5] = 47\n\t\tv[459,5] = 17\n\t\tv[460,5] = 9\n\t\tv[461,5] = 53\n\t\tv[462,5] = 45\n\t\tv[463,5] = 11\n\t\tv[464,5] = 51\n\t\tv[465,5] = 25\n\t\tv[466,5] = 11\n\t\tv[467,5] = 25\n\t\tv[468,5] = 47\n\t\tv[469,5] = 47\n\t\tv[470,5] = 1\n\t\tv[471,5] = 43\n\t\tv[472,5] = 29\n\t\tv[473,5] = 17\n\t\tv[474,5] = 31\n\t\tv[475,5] = 15\n\t\tv[476,5] = 59\n\t\tv[477,5] = 27\n\t\tv[478,5] = 63\n\t\tv[479,5] = 11\n\t\tv[480,5] = 41\n\t\tv[481,5] = 51\n\t\tv[482,5] = 29\n\t\tv[483,5] = 7\n\t\tv[484,5] = 27\n\t\tv[485,5] = 63\n\t\tv[486,5] = 31\n\t\tv[487,5] = 43\n\t\tv[488,5] = 3\n\t\tv[489,5] = 29\n\t\tv[490,5] = 39\n\t\tv[491,5] = 3\n\t\tv[492,5] = 59\n\t\tv[493,5] = 59\n\t\tv[494,5] = 1\n\t\tv[495,5] = 53\n\t\tv[496,5] = 63\n\t\tv[497,5] = 23\n\t\tv[498,5] = 63\n\t\tv[499,5] = 47\n\t\tv[500,5] = 51\n\t\tv[501,5] = 23\n\t\tv[502,5] = 61\n\t\tv[503,5] = 39\n\t\tv[504,5] = 47\n\t\tv[505,5] = 21\n\t\tv[506,5] = 39\n\t\tv[507,5] = 15\n\t\tv[508,5] = 3\n\t\tv[509,5] = 9\n\t\tv[510,5] = 57\n\t\tv[511,5] = 61\n\t\tv[512,5] = 39\n\t\tv[513,5] = 37\n\t\tv[514,5] = 21\n\t\tv[515,5] = 51\n\t\tv[516,5] = 1\n\t\tv[517,5] = 23\n\t\tv[518,5] = 43\n\t\tv[519,5] = 27\n\t\tv[520,5] = 25\n\t\tv[521,5] = 11\n\t\tv[522,5] = 13\n\t\tv[523,5] = 21\n\t\tv[524,5] = 43\n\t\tv[525,5] = 7\n\t\tv[526,5] = 11\n\t\tv[527,5] = 33\n\t\tv[528,5] = 55\n\t\tv[529,5] = 1\n\t\tv[530,5] = 37\n\t\tv[531,5] = 35\n\t\tv[532,5] = 27\n\t\tv[533,5] = 61\n\t\tv[534,5] = 39\n\t\tv[535,5] = 5\n\t\tv[536,5] = 19\n\t\tv[537,5] = 61\n\t\tv[538,5] = 61\n\t\tv[539,5] = 57\n\t\tv[540,5] = 59\n\t\tv[541,5] = 21\n\t\tv[542,5] = 59\n\t\tv[543,5] = 61\n\t\tv[544,5] = 57\n\t\tv[545,5] = 25\n\t\tv[546,5] = 55\n\t\tv[547,5] = 27\n\t\tv[548,5] = 31\n\t\tv[549,5] = 41\n\t\tv[550,5] = 33\n\t\tv[551,5] = 63\n\t\tv[552,5] = 19\n\t\tv[553,5] = 57\n\t\tv[554,5] = 35\n\t\tv[555,5] = 13\n\t\tv[556,5] = 63\n\t\tv[557,5] = 35\n\t\tv[558,5] = 17\n\t\tv[559,5] = 11\n\t\tv[560,5] = 11\n\t\tv[561,5] = 49\n\t\tv[562,5] = 41\n\t\tv[563,5] = 55\n\t\tv[564,5] = 5\n\t\tv[565,5] = 45\n\t\tv[566,5] = 17\n\t\tv[567,5] = 35\n\t\tv[568,5] = 5\n\t\tv[569,5] = 31\n\t\tv[570,5] = 31\n\t\tv[571,5] = 37\n\t\tv[572,5] = 17\n\t\tv[573,5] = 45\n\t\tv[574,5] = 51\n\t\tv[575,5] = 1\n\t\tv[576,5] = 39\n\t\tv[577,5] = 49\n\t\tv[578,5] = 55\n\t\tv[579,5] = 19\n\t\tv[580,5] = 41\n\t\tv[581,5] = 13\n\t\tv[582,5] = 5\n\t\tv[583,5] = 51\n\t\tv[584,5] = 5\n\t\tv[585,5] = 49\n\t\tv[586,5] = 1\n\t\tv[587,5] = 21\n\t\tv[588,5] = 13\n\t\tv[589,5] = 17\n\t\tv[590,5] = 59\n\t\tv[591,5] = 51\n\t\tv[592,5] = 11\n\t\tv[593,5] = 3\n\t\tv[594,5] = 61\n\t\tv[595,5] = 1\n\t\tv[596,5] = 33\n\t\tv[597,5] = 37\n\t\tv[598,5] = 33\n\t\tv[599,5] = 61\n\t\tv[600,5] = 25\n\t\tv[601,5] = 27\n\t\tv[602,5] = 59\n\t\tv[603,5] = 7\n\t\tv[604,5] = 49\n\t\tv[605,5] = 13\n\t\tv[606,5] = 63\n\t\tv[607,5] = 3\n\t\tv[608,5] = 33\n\t\tv[609,5] = 3\n\t\tv[610,5] = 15\n\t\tv[611,5] = 9\n\t\tv[612,5] = 13\n\t\tv[613,5] = 35\n\t\tv[614,5] = 39\n\t\tv[615,5] = 11\n\t\tv[616,5] = 59\n\t\tv[617,5] = 59\n\t\tv[618,5] = 1\n\t\tv[619,5] = 57\n\t\tv[620,5] = 11\n\t\tv[621,5] = 5\n\t\tv[622,5] = 57\n\t\tv[623,5] = 13\n\t\tv[624,5] = 31\n\t\tv[625,5] = 13\n\t\tv[626,5] = 11\n\t\tv[627,5] = 55\n\t\tv[628,5] = 45\n\t\tv[629,5] = 9\n\t\tv[630,5] = 55\n\t\tv[631,5] = 55\n\t\tv[632,5] = 19\n\t\tv[633,5] = 25\n\t\tv[634,5] = 41\n\t\tv[635,5] = 23\n\t\tv[636,5] = 45\n\t\tv[637,5] = 29\n\t\tv[638,5] = 63\n\t\tv[639,5] = 59\n\t\tv[640,5] = 27\n\t\tv[641,5] = 39\n\t\tv[642,5] = 21\n\t\tv[643,5] = 37\n\t\tv[644,5] = 7\n\t\tv[645,5] = 61\n\t\tv[646,5] = 49\n\t\tv[647,5] = 35\n\t\tv[648,5] = 39\n\t\tv[649,5] = 9\n\t\tv[650,5] = 29\n\t\tv[651,5] = 7\n\t\tv[652,5] = 25\n\t\tv[653,5] = 23\n\t\tv[654,5] = 57\n\t\tv[655,5] = 5\n\t\tv[656,5] = 19\n\t\tv[657,5] = 15\n\t\tv[658,5] = 33\n\t\tv[659,5] = 49\n\t\tv[660,5] = 37\n\t\tv[661,5] = 25\n\t\tv[662,5] = 17\n\t\tv[663,5] = 45\n\t\tv[664,5] = 29\n\t\tv[665,5] = 15\n\t\tv[666,5] = 25\n\t\tv[667,5] = 3\n\t\tv[668,5] = 3\n\t\tv[669,5] = 49\n\t\tv[670,5] = 11\n\t\tv[671,5] = 39\n\t\tv[672,5] = 15\n\t\tv[673,5] = 19\n\t\tv[674,5] = 57\n\t\tv[675,5] = 39\n\t\tv[676,5] = 15\n\t\tv[677,5] = 11\n\t\tv[678,5] = 3\n\t\tv[679,5] = 57\n\t\tv[680,5] = 31\n\t\tv[681,5] = 55\n\t\tv[682,5] = 61\n\t\tv[683,5] = 19\n\t\tv[684,5] = 5\n\t\tv[685,5] = 41\n\t\tv[686,5] = 35\n\t\tv[687,5] = 59\n\t\tv[688,5] = 61\n\t\tv[689,5] = 39\n\t\tv[690,5] = 41\n\t\tv[691,5] = 53\n\t\tv[692,5] = 53\n\t\tv[693,5] = 63\n\t\tv[694,5] = 31\n\t\tv[695,5] = 9\n\t\tv[696,5] = 59\n\t\tv[697,5] = 13\n\t\tv[698,5] = 35\n\t\tv[699,5] = 55\n\t\tv[700,5] = 41\n\t\tv[701,5] = 49\n\t\tv[702,5] = 5\n\t\tv[703,5] = 41\n\t\tv[704,5] = 25\n\t\tv[705,5] = 27\n\t\tv[706,5] = 43\n\t\tv[707,5] = 5\n\t\tv[708,5] = 5\n\t\tv[709,5] = 43\n\t\tv[710,5] = 5\n\t\tv[711,5] = 5\n\t\tv[712,5] = 17\n\t\tv[713,5] = 5\n\t\tv[714,5] = 15\n\t\tv[715,5] = 27\n\t\tv[716,5] = 29\n\t\tv[717,5] = 17\n\t\tv[718,5] = 9\n\t\tv[719,5] = 3\n\t\tv[720,5] = 55\n\t\tv[721,5] = 31\n\t\tv[722,5] = 1\n\t\tv[723,5] = 45\n\t\tv[724,5] = 45\n\t\tv[725,5] = 13\n\t\tv[726,5] = 57\n\t\tv[727,5] = 17\n\t\tv[728,5] = 3\n\t\tv[729,5] = 61\n\t\tv[730,5] = 15\n\t\tv[731,5] = 49\n\t\tv[732,5] = 15\n\t\tv[733,5] = 47\n\t\tv[734,5] = 9\n\t\tv[735,5] = 37\n\t\tv[736,5] = 45\n\t\tv[737,5] = 9\n\t\tv[738,5] = 51\n\t\tv[739,5] = 61\n\t\tv[740,5] = 21\n\t\tv[741,5] = 33\n\t\tv[742,5] = 11\n\t\tv[743,5] = 21\n\t\tv[744,5] = 63\n\t\tv[745,5] = 63\n\t\tv[746,5] = 47\n\t\tv[747,5] = 57\n\t\tv[748,5] = 61\n\t\tv[749,5] = 49\n\t\tv[750,5] = 9\n\t\tv[751,5] = 59\n\t\tv[752,5] = 19\n\t\tv[753,5] = 29\n\t\tv[754,5] = 21\n\t\tv[755,5] = 23\n\t\tv[756,5] = 55\n\t\tv[757,5] = 23\n\t\tv[758,5] = 43\n\t\tv[759,5] = 41\n\t\tv[760,5] = 57\n\t\tv[761,5] = 9\n\t\tv[762,5] = 39\n\t\tv[763,5] = 27\n\t\tv[764,5] = 41\n\t\tv[765,5] = 35\n\t\tv[766,5] = 61\n\t\tv[767,5] = 29\n\t\tv[768,5] = 57\n\t\tv[769,5] = 63\n\t\tv[770,5] = 21\n\t\tv[771,5] = 31\n\t\tv[772,5] = 59\n\t\tv[773,5] = 35\n\t\tv[774,5] = 49\n\t\tv[775,5] = 3\n\t\tv[776,5] = 49\n\t\tv[777,5] = 47\n\t\tv[778,5] = 49\n\t\tv[779,5] = 33\n\t\tv[780,5] = 21\n\t\tv[781,5] = 19\n\t\tv[782,5] = 21\n\t\tv[783,5] = 35\n\t\tv[784,5] = 11\n\t\tv[785,5] = 17\n\t\tv[786,5] = 37\n\t\tv[787,5] = 23\n\t\tv[788,5] = 59\n\t\tv[789,5] = 13\n\t\tv[790,5] = 37\n\t\tv[791,5] = 35\n\t\tv[792,5] = 55\n\t\tv[793,5] = 57\n\t\tv[794,5] = 1\n\t\tv[795,5] = 29\n\t\tv[796,5] = 45\n\t\tv[797,5] = 11\n\t\tv[798,5] = 1\n\t\tv[799,5] = 15\n\t\tv[800,5] = 9\n\t\tv[801,5] = 33\n\t\tv[802,5] = 19\n\t\tv[803,5] = 53\n\t\tv[804,5] = 43\n\t\tv[805,5] = 39\n\t\tv[806,5] = 23\n\t\tv[807,5] = 7\n\t\tv[808,5] = 13\n\t\tv[809,5] = 13\n\t\tv[810,5] = 1\n\t\tv[811,5] = 19\n\t\tv[812,5] = 41\n\t\tv[813,5] = 55\n\t\tv[814,5] = 1\n\t\tv[815,5] = 13\n\t\tv[816,5] = 15\n\t\tv[817,5] = 59\n\t\tv[818,5] = 55\n\t\tv[819,5] = 15\n\t\tv[820,5] = 3\n\t\tv[821,5] = 57\n\t\tv[822,5] = 37\n\t\tv[823,5] = 31\n\t\tv[824,5] = 17\n\t\tv[825,5] = 1\n\t\tv[826,5] = 3\n\t\tv[827,5] = 21\n\t\tv[828,5] = 29\n\t\tv[829,5] = 25\n\t\tv[830,5] = 55\n\t\tv[831,5] = 9\n\t\tv[832,5] = 37\n\t\tv[833,5] = 33\n\t\tv[834,5] = 53\n\t\tv[835,5] = 41\n\t\tv[836,5] = 51\n\t\tv[837,5] = 19\n\t\tv[838,5] = 57\n\t\tv[839,5] = 13\n\t\tv[840,5] = 63\n\t\tv[841,5] = 43\n\t\tv[842,5] = 19\n\t\tv[843,5] = 7\n\t\tv[844,5] = 13\n\t\tv[845,5] = 37\n\t\tv[846,5] = 33\n\t\tv[847,5] = 19\n\t\tv[848,5] = 15\n\t\tv[849,5] = 63\n\t\tv[850,5] = 51\n\t\tv[851,5] = 11\n\t\tv[852,5] = 49\n\t\tv[853,5] = 23\n\t\tv[854,5] = 57\n\t\tv[855,5] = 47\n\t\tv[856,5] = 51\n\t\tv[857,5] = 15\n\t\tv[858,5] = 53\n\t\tv[859,5] = 41\n\t\tv[860,5] = 1\n\t\tv[861,5] = 15\n\t\tv[862,5] = 37\n\t\tv[863,5] = 61\n\t\tv[864,5] = 11\n\t\tv[865,5] = 35\n\t\tv[866,5] = 29\n\t\tv[867,5] = 33\n\t\tv[868,5] = 23\n\t\tv[869,5] = 55\n\t\tv[870,5] = 11\n\t\tv[871,5] = 59\n\t\tv[872,5] = 19\n\t\tv[873,5] = 61\n\t\tv[874,5] = 61\n\t\tv[875,5] = 45\n\t\tv[876,5] = 13\n\t\tv[877,5] = 49\n\t\tv[878,5] = 13\n\t\tv[879,5] = 63\n\t\tv[880,5] = 5\n\t\tv[881,5] = 61\n\t\tv[882,5] = 5\n\t\tv[883,5] = 31\n\t\tv[884,5] = 17\n\t\tv[885,5] = 61\n\t\tv[886,5] = 63\n\t\tv[887,5] = 13\n\t\tv[888,5] = 27\n\t\tv[889,5] = 57\n\t\tv[890,5] = 1\n\t\tv[891,5] = 21\n\t\tv[892,5] = 5\n\t\tv[893,5] = 11\n\t\tv[894,5] = 39\n\t\tv[895,5] = 57\n\t\tv[896,5] = 51\n\t\tv[897,5] = 53\n\t\tv[898,5] = 39\n\t\tv[899,5] = 25\n\t\tv[900,5] = 41\n\t\tv[901,5] = 39\n\t\tv[902,5] = 37\n\t\tv[903,5] = 23\n\t\tv[904,5] = 31\n\t\tv[905,5] = 25\n\t\tv[906,5] = 33\n\t\tv[907,5] = 17\n\t\tv[908,5] = 57\n\t\tv[909,5] = 29\n\t\tv[910,5] = 27\n\t\tv[911,5] = 23\n\t\tv[912,5] = 47\n\t\tv[913,5] = 41\n\t\tv[914,5] = 29\n\t\tv[915,5] = 19\n\t\tv[916,5] = 47\n\t\tv[917,5] = 41\n\t\tv[918,5] = 25\n\t\tv[919,5] = 5\n\t\tv[920,5] = 51\n\t\tv[921,5] = 43\n\t\tv[922,5] = 39\n\t\tv[923,5] = 29\n\t\tv[924,5] = 7\n\t\tv[925,5] = 31\n\t\tv[926,5] = 45\n\t\tv[927,5] = 51\n\t\tv[928,5] = 49\n\t\tv[929,5] = 55\n\t\tv[930,5] = 17\n\t\tv[931,5] = 43\n\t\tv[932,5] = 49\n\t\tv[933,5] = 45\n\t\tv[934,5] = 9\n\t\tv[935,5] = 29\n\t\tv[936,5] = 3\n\t\tv[937,5] = 5\n\t\tv[938,5] = 47\n\t\tv[939,5] = 9\n\t\tv[940,5] = 15\n\t\tv[941,5] = 19\n\t\tv[942,5] = 51\n\t\tv[943,5] = 45\n\t\tv[944,5] = 57\n\t\tv[945,5] = 63\n\t\tv[946,5] = 9\n\t\tv[947,5] = 21\n\t\tv[948,5] = 59\n\t\tv[949,5] = 3\n\t\tv[950,5] = 9\n\t\tv[951,5] = 13\n\t\tv[952,5] = 45\n\t\tv[953,5] = 23\n\t\tv[954,5] = 15\n\t\tv[955,5] = 31\n\t\tv[956,5] = 21\n\t\tv[957,5] = 15\n\t\tv[958,5] = 51\n\t\tv[959,5] = 35\n\t\tv[960,5] = 9\n\t\tv[961,5] = 11\n\t\tv[962,5] = 61\n\t\tv[963,5] = 23\n\t\tv[964,5] = 53\n\t\tv[965,5] = 29\n\t\tv[966,5] = 51\n\t\tv[967,5] = 45\n\t\tv[968,5] = 31\n\t\tv[969,5] = 29\n\t\tv[970,5] = 5\n\t\tv[971,5] = 35\n\t\tv[972,5] = 29\n\t\tv[973,5] = 53\n\t\tv[974,5] = 35\n\t\tv[975,5] = 17\n\t\tv[976,5] = 59\n\t\tv[977,5] = 55\n\t\tv[978,5] = 27\n\t\tv[979,5] = 51\n\t\tv[980,5] = 59\n\t\tv[981,5] = 27\n\t\tv[982,5] = 47\n\t\tv[983,5] = 15\n\t\tv[984,5] = 29\n\t\tv[985,5] = 37\n\t\tv[986,5] = 7\n\t\tv[987,5] = 49\n\t\tv[988,5] = 55\n\t\tv[989,5] = 5\n\t\tv[990,5] = 19\n\t\tv[991,5] = 45\n\t\tv[992,5] = 29\n\t\tv[993,5] = 19\n\t\tv[994,5] = 57\n\t\tv[995,5] = 33\n\t\tv[996,5] = 53\n\t\tv[997,5] = 45\n\t\tv[998,5] = 21\n\t\tv[999,5] = 9\n\t\tv[1000,5] = 3\n\t\tv[1001,5] = 35\n\t\tv[1002,5] = 29\n\t\tv[1003,5] = 43\n\t\tv[1004,5] = 31\n\t\tv[1005,5] = 39\n\t\tv[1006,5] = 3\n\t\tv[1007,5] = 45\n\t\tv[1008,5] = 1\n\t\tv[1009,5] = 41\n\t\tv[1010,5] = 29\n\t\tv[1011,5] = 5\n\t\tv[1012,5] = 59\n\t\tv[1013,5] = 41\n\t\tv[1014,5] = 33\n\t\tv[1015,5] = 35\n\t\tv[1016,5] = 27\n\t\tv[1017,5] = 19\n\t\tv[1018,5] = 13\n\t\tv[1019,5] = 25\n\t\tv[1020,5] = 27\n\t\tv[1021,5] = 43\n\t\tv[1022,5] = 33\n\t\tv[1023,5] = 35\n\t\tv[1024,5] = 17\n\t\tv[1025,5] = 17\n\t\tv[1026,5] = 23\n\t\tv[1027,5] = 7\n\t\tv[1028,5] = 35\n\t\tv[1029,5] = 15\n\t\tv[1030,5] = 61\n\t\tv[1031,5] = 61\n\t\tv[1032,5] = 53\n\t\tv[1033,5] = 5\n\t\tv[1034,5] = 15\n\t\tv[1035,5] = 23\n\t\tv[1036,5] = 11\n\t\tv[1037,5] = 13\n\t\tv[1038,5] = 43\n\t\tv[1039,5] = 55\n\t\tv[1040,5] = 47\n\t\tv[1041,5] = 25\n\t\tv[1042,5] = 43\n\t\tv[1043,5] = 15\n\t\tv[1044,5] = 57\n\t\tv[1045,5] = 45\n\t\tv[1046,5] = 1\n\t\tv[1047,5] = 49\n\t\tv[1048,5] = 63\n\t\tv[1049,5] = 57\n\t\tv[1050,5] = 15\n\t\tv[1051,5] = 31\n\t\tv[1052,5] = 31\n\t\tv[1053,5] = 7\n\t\tv[1054,5] = 53\n\t\tv[1055,5] = 27\n\t\tv[1056,5] = 15\n\t\tv[1057,5] = 47\n\t\tv[1058,5] = 23\n\t\tv[1059,5] = 7\n\t\tv[1060,5] = 29\n\t\tv[1061,5] = 53\n\t\tv[1062,5] = 47\n\t\tv[1063,5] = 9\n\t\tv[1064,5] = 53\n\t\tv[1065,5] = 3\n\t\tv[1066,5] = 25\n\t\tv[1067,5] = 55\n\t\tv[1068,5] = 45\n\t\tv[1069,5] = 63\n\t\tv[1070,5] = 21\n\t\tv[1071,5] = 17\n\t\tv[1072,5] = 23\n\t\tv[1073,5] = 31\n\t\tv[1074,5] = 27\n\t\tv[1075,5] = 27\n\t\tv[1076,5] = 43\n\t\tv[1077,5] = 63\n\t\tv[1078,5] = 55\n\t\tv[1079,5] = 63\n\t\tv[1080,5] = 45\n\t\tv[1081,5] = 51\n\t\tv[1082,5] = 15\n\t\tv[1083,5] = 27\n\t\tv[1084,5] = 5\n\t\tv[1085,5] = 37\n\t\tv[1086,5] = 43\n\t\tv[1087,5] = 11\n\t\tv[1088,5] = 27\n\t\tv[1089,5] = 5\n\t\tv[1090,5] = 27\n\t\tv[1091,5] = 59\n\t\tv[1092,5] = 21\n\t\tv[1093,5] = 7\n\t\tv[1094,5] = 39\n\t\tv[1095,5] = 27\n\t\tv[1096,5] = 63\n\t\tv[1097,5] = 35\n\t\tv[1098,5] = 47\n\t\tv[1099,5] = 55\n\t\tv[1100,5] = 17\n\t\tv[1101,5] = 17\n\t\tv[1102,5] = 17\n\t\tv[1103,5] = 3\n\t\tv[1104,5] = 19\n\t\tv[1105,5] = 21\n\t\tv[1106,5] = 13\n\t\tv[1107,5] = 49\n\t\tv[1108,5] = 61\n\t\tv[1109,5] = 39\n\t\tv[1110,5] = 15\n\n\t\tv[19,6] = 13\n\t\tv[20,6] = 33\n\t\tv[21,6] = 115\n\t\tv[22,6] = 41\n\t\tv[23,6] = 79\n\t\tv[24,6] = 17\n\t\tv[25,6] = 29\n\t\tv[26,6] = 119\n\t\tv[27,6] = 75\n\t\tv[28,6] = 73\n\t\tv[29,6] = 105\n\t\tv[30,6] = 7\n\t\tv[31,6] = 59\n\t\tv[32,6] = 65\n\t\tv[33,6] = 21\n\t\tv[34,6] = 3\n\t\tv[35,6] = 113\n\t\tv[36,6] = 61\n\t\tv[37,6] = 89\n\t\tv[38,6] = 45\n\t\tv[39,6] = 107\n\t\tv[40,6] = 21\n\t\tv[41,6] = 71\n\t\tv[42,6] = 79\n\t\tv[43,6] = 19\n\t\tv[44,6] = 71\n\t\tv[45,6] = 61\n\t\tv[46,6] = 41\n\t\tv[47,6] = 57\n\t\tv[48,6] = 121\n\t\tv[49,6] = 87\n\t\tv[50,6] = 119\n\t\tv[51,6] = 55\n\t\tv[52,6] = 85\n\t\tv[53,6] = 121\n\t\tv[54,6] = 119\n\t\tv[55,6] = 11\n\t\tv[56,6] = 23\n\t\tv[57,6] = 61\n\t\tv[58,6] = 11\n\t\tv[59,6] = 35\n\t\tv[60,6] = 33\n\t\tv[61,6] = 43\n\t\tv[62,6] = 107\n\t\tv[63,6] = 113\n\t\tv[64,6] = 101\n\t\tv[65,6] = 29\n\t\tv[66,6] = 87\n\t\tv[67,6] = 119\n\t\tv[68,6] = 97\n\t\tv[69,6] = 29\n\t\tv[70,6] = 17\n\t\tv[71,6] = 89\n\t\tv[72,6] = 5\n\t\tv[73,6] = 127\n\t\tv[74,6] = 89\n\t\tv[75,6] = 119\n\t\tv[76,6] = 117\n\t\tv[77,6] = 103\n\t\tv[78,6] = 105\n\t\tv[79,6] = 41\n\t\tv[80,6] = 83\n\t\tv[81,6] = 25\n\t\tv[82,6] = 41\n\t\tv[83,6] = 55\n\t\tv[84,6] = 69\n\t\tv[85,6] = 117\n\t\tv[86,6] = 49\n\t\tv[87,6] = 127\n\t\tv[88,6] = 29\n\t\tv[89,6] = 1\n\t\tv[90,6] = 99\n\t\tv[91,6] = 53\n\t\tv[92,6] = 83\n\t\tv[93,6] = 15\n\t\tv[94,6] = 31\n\t\tv[95,6] = 73\n\t\tv[96,6] = 115\n\t\tv[97,6] = 35\n\t\tv[98,6] = 21\n\t\tv[99,6] = 89\n\t\tv[100,6] = 5\n\t\tv[101,6] = 1\n\t\tv[102,6] = 91\n\t\tv[103,6] = 53\n\t\tv[104,6] = 35\n\t\tv[105,6] = 95\n\t\tv[106,6] = 83\n\t\tv[107,6] = 19\n\t\tv[108,6] = 85\n\t\tv[109,6] = 55\n\t\tv[110,6] = 51\n\t\tv[111,6] = 101\n\t\tv[112,6] = 33\n\t\tv[113,6] = 41\n\t\tv[114,6] = 55\n\t\tv[115,6] = 45\n\t\tv[116,6] = 95\n\t\tv[117,6] = 61\n\t\tv[118,6] = 27\n\t\tv[119,6] = 37\n\t\tv[120,6] = 89\n\t\tv[121,6] = 75\n\t\tv[122,6] = 57\n\t\tv[123,6] = 61\n\t\tv[124,6] = 15\n\t\tv[125,6] = 117\n\t\tv[126,6] = 15\n\t\tv[127,6] = 21\n\t\tv[128,6] = 27\n\t\tv[129,6] = 25\n\t\tv[130,6] = 27\n\t\tv[131,6] = 123\n\t\tv[132,6] = 39\n\t\tv[133,6] = 109\n\t\tv[134,6] = 93\n\t\tv[135,6] = 51\n\t\tv[136,6] = 21\n\t\tv[137,6] = 91\n\t\tv[138,6] = 109\n\t\tv[139,6] = 107\n\t\tv[140,6] = 45\n\t\tv[141,6] = 15\n\t\tv[142,6] = 93\n\t\tv[143,6] = 127\n\t\tv[144,6] = 3\n\t\tv[145,6] = 53\n\t\tv[146,6] = 81\n\t\tv[147,6] = 79\n\t\tv[148,6] = 107\n\t\tv[149,6] = 79\n\t\tv[150,6] = 87\n\t\tv[151,6] = 35\n\t\tv[152,6] = 109\n\t\tv[153,6] = 73\n\t\tv[154,6] = 35\n\t\tv[155,6] = 83\n\t\tv[156,6] = 107\n\t\tv[157,6] = 1\n\t\tv[158,6] = 51\n\t\tv[159,6] = 7\n\t\tv[160,6] = 59\n\t\tv[161,6] = 33\n\t\tv[162,6] = 115\n\t\tv[163,6] = 43\n\t\tv[164,6] = 111\n\t\tv[165,6] = 45\n\t\tv[166,6] = 121\n\t\tv[167,6] = 105\n\t\tv[168,6] = 125\n\t\tv[169,6] = 87\n\t\tv[170,6] = 101\n\t\tv[171,6] = 41\n\t\tv[172,6] = 95\n\t\tv[173,6] = 75\n\t\tv[174,6] = 1\n\t\tv[175,6] = 57\n\t\tv[176,6] = 117\n\t\tv[177,6] = 21\n\t\tv[178,6] = 27\n\t\tv[179,6] = 67\n\t\tv[180,6] = 29\n\t\tv[181,6] = 53\n\t\tv[182,6] = 117\n\t\tv[183,6] = 63\n\t\tv[184,6] = 1\n\t\tv[185,6] = 77\n\t\tv[186,6] = 89\n\t\tv[187,6] = 115\n\t\tv[188,6] = 49\n\t\tv[189,6] = 127\n\t\tv[190,6] = 15\n\t\tv[191,6] = 79\n\t\tv[192,6] = 81\n\t\tv[193,6] = 29\n\t\tv[194,6] = 65\n\t\tv[195,6] = 103\n\t\tv[196,6] = 33\n\t\tv[197,6] = 73\n\t\tv[198,6] = 79\n\t\tv[199,6] = 29\n\t\tv[200,6] = 21\n\t\tv[201,6] = 113\n\t\tv[202,6] = 31\n\t\tv[203,6] = 33\n\t\tv[204,6] = 107\n\t\tv[205,6] = 95\n\t\tv[206,6] = 111\n\t\tv[207,6] = 59\n\t\tv[208,6] = 99\n\t\tv[209,6] = 117\n\t\tv[210,6] = 63\n\t\tv[211,6] = 63\n\t\tv[212,6] = 99\n\t\tv[213,6] = 39\n\t\tv[214,6] = 9\n\t\tv[215,6] = 35\n\t\tv[216,6] = 63\n\t\tv[217,6] = 125\n\t\tv[218,6] = 99\n\t\tv[219,6] = 45\n\t\tv[220,6] = 93\n\t\tv[221,6] = 33\n\t\tv[222,6] = 93\n\t\tv[223,6] = 9\n\t\tv[224,6] = 105\n\t\tv[225,6] = 75\n\t\tv[226,6] = 51\n\t\tv[227,6] = 115\n\t\tv[228,6] = 11\n\t\tv[229,6] = 37\n\t\tv[230,6] = 17\n\t\tv[231,6] = 41\n\t\tv[232,6] = 21\n\t\tv[233,6] = 43\n\t\tv[234,6] = 73\n\t\tv[235,6] = 19\n\t\tv[236,6] = 93\n\t\tv[237,6] = 7\n\t\tv[238,6] = 95\n\t\tv[239,6] = 81\n\t\tv[240,6] = 93\n\t\tv[241,6] = 79\n\t\tv[242,6] = 81\n\t\tv[243,6] = 55\n\t\tv[244,6] = 9\n\t\tv[245,6] = 51\n\t\tv[246,6] = 63\n\t\tv[247,6] = 45\n\t\tv[248,6] = 89\n\t\tv[249,6] = 73\n\t\tv[250,6] = 19\n\t\tv[251,6] = 115\n\t\tv[252,6] = 39\n\t\tv[253,6] = 47\n\t\tv[254,6] = 81\n\t\tv[255,6] = 39\n\t\tv[256,6] = 5\n\t\tv[257,6] = 5\n\t\tv[258,6] = 45\n\t\tv[259,6] = 53\n\t\tv[260,6] = 65\n\t\tv[261,6] = 49\n\t\tv[262,6] = 17\n\t\tv[263,6] = 105\n\t\tv[264,6] = 13\n\t\tv[265,6] = 107\n\t\tv[266,6] = 5\n\t\tv[267,6] = 5\n\t\tv[268,6] = 19\n\t\tv[269,6] = 73\n\t\tv[270,6] = 59\n\t\tv[271,6] = 43\n\t\tv[272,6] = 83\n\t\tv[273,6] = 97\n\t\tv[274,6] = 115\n\t\tv[275,6] = 27\n\t\tv[276,6] = 1\n\t\tv[277,6] = 69\n\t\tv[278,6] = 103\n\t\tv[279,6] = 3\n\t\tv[280,6] = 99\n\t\tv[281,6] = 103\n\t\tv[282,6] = 63\n\t\tv[283,6] = 67\n\t\tv[284,6] = 25\n\t\tv[285,6] = 121\n\t\tv[286,6] = 97\n\t\tv[287,6] = 77\n\t\tv[288,6] = 13\n\t\tv[289,6] = 83\n\t\tv[290,6] = 103\n\t\tv[291,6] = 41\n\t\tv[292,6] = 11\n\t\tv[293,6] = 27\n\t\tv[294,6] = 81\n\t\tv[295,6] = 37\n\t\tv[296,6] = 33\n\t\tv[297,6] = 125\n\t\tv[298,6] = 71\n\t\tv[299,6] = 41\n\t\tv[300,6] = 41\n\t\tv[301,6] = 59\n\t\tv[302,6] = 41\n\t\tv[303,6] = 87\n\t\tv[304,6] = 123\n\t\tv[305,6] = 43\n\t\tv[306,6] = 101\n\t\tv[307,6] = 63\n\t\tv[308,6] = 45\n\t\tv[309,6] = 39\n\t\tv[310,6] = 21\n\t\tv[311,6] = 97\n\t\tv[312,6] = 15\n\t\tv[313,6] = 97\n\t\tv[314,6] = 111\n\t\tv[315,6] = 21\n\t\tv[316,6] = 49\n\t\tv[317,6] = 13\n\t\tv[318,6] = 17\n\t\tv[319,6] = 79\n\t\tv[320,6] = 91\n\t\tv[321,6] = 65\n\t\tv[322,6] = 105\n\t\tv[323,6] = 75\n\t\tv[324,6] = 1\n\t\tv[325,6] = 45\n\t\tv[326,6] = 67\n\t\tv[327,6] = 83\n\t\tv[328,6] = 107\n\t\tv[329,6] = 125\n\t\tv[330,6] = 87\n\t\tv[331,6] = 15\n\t\tv[332,6] = 81\n\t\tv[333,6] = 95\n\t\tv[334,6] = 105\n\t\tv[335,6] = 65\n\t\tv[336,6] = 45\n\t\tv[337,6] = 59\n\t\tv[338,6] = 103\n\t\tv[339,6] = 23\n\t\tv[340,6] = 103\n\t\tv[341,6] = 99\n\t\tv[342,6] = 67\n\t\tv[343,6] = 99\n\t\tv[344,6] = 47\n\t\tv[345,6] = 117\n\t\tv[346,6] = 71\n\t\tv[347,6] = 89\n\t\tv[348,6] = 35\n\t\tv[349,6] = 53\n\t\tv[350,6] = 73\n\t\tv[351,6] = 9\n\t\tv[352,6] = 115\n\t\tv[353,6] = 49\n\t\tv[354,6] = 37\n\t\tv[355,6] = 1\n\t\tv[356,6] = 35\n\t\tv[357,6] = 9\n\t\tv[358,6] = 45\n\t\tv[359,6] = 81\n\t\tv[360,6] = 19\n\t\tv[361,6] = 127\n\t\tv[362,6] = 17\n\t\tv[363,6] = 17\n\t\tv[364,6] = 105\n\t\tv[365,6] = 89\n\t\tv[366,6] = 49\n\t\tv[367,6] = 101\n\t\tv[368,6] = 7\n\t\tv[369,6] = 37\n\t\tv[370,6] = 33\n\t\tv[371,6] = 11\n\t\tv[372,6] = 95\n\t\tv[373,6] = 95\n\t\tv[374,6] = 17\n\t\tv[375,6] = 111\n\t\tv[376,6] = 105\n\t\tv[377,6] = 41\n\t\tv[378,6] = 115\n\t\tv[379,6] = 5\n\t\tv[380,6] = 69\n\t\tv[381,6] = 101\n\t\tv[382,6] = 27\n\t\tv[383,6] = 27\n\t\tv[384,6] = 101\n\t\tv[385,6] = 103\n\t\tv[386,6] = 53\n\t\tv[387,6] = 9\n\t\tv[388,6] = 21\n\t\tv[389,6] = 43\n\t\tv[390,6] = 79\n\t\tv[391,6] = 91\n\t\tv[392,6] = 65\n\t\tv[393,6] = 117\n\t\tv[394,6] = 87\n\t\tv[395,6] = 125\n\t\tv[396,6] = 55\n\t\tv[397,6] = 45\n\t\tv[398,6] = 63\n\t\tv[399,6] = 85\n\t\tv[400,6] = 83\n\t\tv[401,6] = 97\n\t\tv[402,6] = 45\n\t\tv[403,6] = 83\n\t\tv[404,6] = 87\n\t\tv[405,6] = 113\n\t\tv[406,6] = 93\n\t\tv[407,6] = 95\n\t\tv[408,6] = 5\n\t\tv[409,6] = 17\n\t\tv[410,6] = 77\n\t\tv[411,6] = 77\n\t\tv[412,6] = 127\n\t\tv[413,6] = 123\n\t\tv[414,6] = 45\n\t\tv[415,6] = 81\n\t\tv[416,6] = 85\n\t\tv[417,6] = 121\n\t\tv[418,6] = 119\n\t\tv[419,6] = 27\n\t\tv[420,6] = 85\n\t\tv[421,6] = 41\n\t\tv[422,6] = 49\n\t\tv[423,6] = 15\n\t\tv[424,6] = 107\n\t\tv[425,6] = 21\n\t\tv[426,6] = 51\n\t\tv[427,6] = 119\n\t\tv[428,6] = 11\n\t\tv[429,6] = 87\n\t\tv[430,6] = 101\n\t\tv[431,6] = 115\n\t\tv[432,6] = 63\n\t\tv[433,6] = 63\n\t\tv[434,6] = 37\n\t\tv[435,6] = 121\n\t\tv[436,6] = 109\n\t\tv[437,6] = 7\n\t\tv[438,6] = 43\n\t\tv[439,6] = 69\n\t\tv[440,6] = 19\n\t\tv[441,6] = 77\n\t\tv[442,6] = 49\n\t\tv[443,6] = 71\n\t\tv[444,6] = 59\n\t\tv[445,6] = 35\n\t\tv[446,6] = 7\n\t\tv[447,6] = 13\n\t\tv[448,6] = 55\n\t\tv[449,6] = 101\n\t\tv[450,6] = 127\n\t\tv[451,6] = 103\n\t\tv[452,6] = 85\n\t\tv[453,6] = 109\n\t\tv[454,6] = 29\n\t\tv[455,6] = 61\n\t\tv[456,6] = 67\n\t\tv[457,6] = 21\n\t\tv[458,6] = 111\n\t\tv[459,6] = 67\n\t\tv[460,6] = 23\n\t\tv[461,6] = 57\n\t\tv[462,6] = 75\n\t\tv[463,6] = 71\n\t\tv[464,6] = 101\n\t\tv[465,6] = 123\n\t\tv[466,6] = 41\n\t\tv[467,6] = 107\n\t\tv[468,6] = 101\n\t\tv[469,6] = 107\n\t\tv[470,6] = 125\n\t\tv[471,6] = 27\n\t\tv[472,6] = 47\n\t\tv[473,6] = 119\n\t\tv[474,6] = 41\n\t\tv[475,6] = 19\n\t\tv[476,6] = 127\n\t\tv[477,6] = 33\n\t\tv[478,6] = 31\n\t\tv[479,6] = 109\n\t\tv[480,6] = 7\n\t\tv[481,6] = 91\n\t\tv[482,6] = 91\n\t\tv[483,6] = 39\n\t\tv[484,6] = 125\n\t\tv[485,6] = 105\n\t\tv[486,6] = 47\n\t\tv[487,6] = 125\n\t\tv[488,6] = 123\n\t\tv[489,6] = 91\n\t\tv[490,6] = 9\n\t\tv[491,6] = 103\n\t\tv[492,6] = 45\n\t\tv[493,6] = 23\n\t\tv[494,6] = 117\n\t\tv[495,6] = 9\n\t\tv[496,6] = 125\n\t\tv[497,6] = 73\n\t\tv[498,6] = 11\n\t\tv[499,6] = 37\n\t\tv[500,6] = 61\n\t\tv[501,6] = 79\n\t\tv[502,6] = 21\n\t\tv[503,6] = 5\n\t\tv[504,6] = 47\n\t\tv[505,6] = 117\n\t\tv[506,6] = 67\n\t\tv[507,6] = 53\n\t\tv[508,6] = 85\n\t\tv[509,6] = 33\n\t\tv[510,6] = 81\n\t\tv[511,6] = 121\n\t\tv[512,6] = 47\n\t\tv[513,6] = 61\n\t\tv[514,6] = 51\n\t\tv[515,6] = 127\n\t\tv[516,6] = 29\n\t\tv[517,6] = 65\n\t\tv[518,6] = 45\n\t\tv[519,6] = 41\n\t\tv[520,6] = 95\n\t\tv[521,6] = 57\n\t\tv[522,6] = 73\n\t\tv[523,6] = 33\n\t\tv[524,6] = 117\n\t\tv[525,6] = 61\n\t\tv[526,6] = 111\n\t\tv[527,6] = 59\n\t\tv[528,6] = 123\n\t\tv[529,6] = 65\n\t\tv[530,6] = 47\n\t\tv[531,6] = 105\n\t\tv[532,6] = 23\n\t\tv[533,6] = 29\n\t\tv[534,6] = 107\n\t\tv[535,6] = 37\n\t\tv[536,6] = 81\n\t\tv[537,6] = 67\n\t\tv[538,6] = 29\n\t\tv[539,6] = 115\n\t\tv[540,6] = 119\n\t\tv[541,6] = 75\n\t\tv[542,6] = 73\n\t\tv[543,6] = 99\n\t\tv[544,6] = 103\n\t\tv[545,6] = 7\n\t\tv[546,6] = 57\n\t\tv[547,6] = 45\n\t\tv[548,6] = 61\n\t\tv[549,6] = 95\n\t\tv[550,6] = 49\n\t\tv[551,6] = 101\n\t\tv[552,6] = 101\n\t\tv[553,6] = 35\n\t\tv[554,6] = 47\n\t\tv[555,6] = 119\n\t\tv[556,6] = 39\n\t\tv[557,6] = 67\n\t\tv[558,6] = 31\n\t\tv[559,6] = 103\n\t\tv[560,6] = 7\n\t\tv[561,6] = 61\n\t\tv[562,6] = 127\n\t\tv[563,6] = 87\n\t\tv[564,6] = 3\n\t\tv[565,6] = 35\n\t\tv[566,6] = 29\n\t\tv[567,6] = 73\n\t\tv[568,6] = 95\n\t\tv[569,6] = 103\n\t\tv[570,6] = 71\n\t\tv[571,6] = 75\n\t\tv[572,6] = 51\n\t\tv[573,6] = 87\n\t\tv[574,6] = 57\n\t\tv[575,6] = 97\n\t\tv[576,6] = 11\n\t\tv[577,6] = 105\n\t\tv[578,6] = 87\n\t\tv[579,6] = 41\n\t\tv[580,6] = 73\n\t\tv[581,6] = 109\n\t\tv[582,6] = 69\n\t\tv[583,6] = 35\n\t\tv[584,6] = 121\n\t\tv[585,6] = 39\n\t\tv[586,6] = 111\n\t\tv[587,6] = 1\n\t\tv[588,6] = 77\n\t\tv[589,6] = 39\n\t\tv[590,6] = 47\n\t\tv[591,6] = 53\n\t\tv[592,6] = 91\n\t\tv[593,6] = 3\n\t\tv[594,6] = 17\n\t\tv[595,6] = 51\n\t\tv[596,6] = 83\n\t\tv[597,6] = 39\n\t\tv[598,6] = 125\n\t\tv[599,6] = 85\n\t\tv[600,6] = 111\n\t\tv[601,6] = 21\n\t\tv[602,6] = 69\n\t\tv[603,6] = 85\n\t\tv[604,6] = 29\n\t\tv[605,6] = 55\n\t\tv[606,6] = 11\n\t\tv[607,6] = 117\n\t\tv[608,6] = 1\n\t\tv[609,6] = 47\n\t\tv[610,6] = 17\n\t\tv[611,6] = 65\n\t\tv[612,6] = 63\n\t\tv[613,6] = 47\n\t\tv[614,6] = 117\n\t\tv[615,6] = 17\n\t\tv[616,6] = 115\n\t\tv[617,6] = 51\n\t\tv[618,6] = 25\n\t\tv[619,6] = 33\n\t\tv[620,6] = 123\n\t\tv[621,6] = 123\n\t\tv[622,6] = 83\n\t\tv[623,6] = 51\n\t\tv[624,6] = 113\n\t\tv[625,6] = 95\n\t\tv[626,6] = 121\n\t\tv[627,6] = 51\n\t\tv[628,6] = 91\n\t\tv[629,6] = 109\n\t\tv[630,6] = 43\n\t\tv[631,6] = 55\n\t\tv[632,6] = 35\n\t\tv[633,6] = 55\n\t\tv[634,6] = 87\n\t\tv[635,6] = 33\n\t\tv[636,6] = 37\n\t\tv[637,6] = 5\n\t\tv[638,6] = 3\n\t\tv[639,6] = 45\n\t\tv[640,6] = 21\n\t\tv[641,6] = 105\n\t\tv[642,6] = 127\n\t\tv[643,6] = 35\n\t\tv[644,6] = 17\n\t\tv[645,6] = 35\n\t\tv[646,6] = 37\n\t\tv[647,6] = 97\n\t\tv[648,6] = 97\n\t\tv[649,6] = 21\n\t\tv[650,6] = 77\n\t\tv[651,6] = 123\n\t\tv[652,6] = 17\n\t\tv[653,6] = 89\n\t\tv[654,6] = 53\n\t\tv[655,6] = 105\n\t\tv[656,6] = 75\n\t\tv[657,6] = 25\n\t\tv[658,6] = 125\n\t\tv[659,6] = 13\n\t\tv[660,6] = 47\n\t\tv[661,6] = 21\n\t\tv[662,6] = 125\n\t\tv[663,6] = 23\n\t\tv[664,6] = 55\n\t\tv[665,6] = 63\n\t\tv[666,6] = 61\n\t\tv[667,6] = 5\n\t\tv[668,6] = 17\n\t\tv[669,6] = 93\n\t\tv[670,6] = 57\n\t\tv[671,6] = 121\n\t\tv[672,6] = 69\n\t\tv[673,6] = 73\n\t\tv[674,6] = 93\n\t\tv[675,6] = 121\n\t\tv[676,6] = 105\n\t\tv[677,6] = 75\n\t\tv[678,6] = 91\n\t\tv[679,6] = 67\n\t\tv[680,6] = 95\n\t\tv[681,6] = 75\n\t\tv[682,6] = 9\n\t\tv[683,6] = 69\n\t\tv[684,6] = 97\n\t\tv[685,6] = 99\n\t\tv[686,6] = 93\n\t\tv[687,6] = 11\n\t\tv[688,6] = 53\n\t\tv[689,6] = 19\n\t\tv[690,6] = 73\n\t\tv[691,6] = 5\n\t\tv[692,6] = 33\n\t\tv[693,6] = 79\n\t\tv[694,6] = 107\n\t\tv[695,6] = 65\n\t\tv[696,6] = 69\n\t\tv[697,6] = 79\n\t\tv[698,6] = 125\n\t\tv[699,6] = 25\n\t\tv[700,6] = 93\n\t\tv[701,6] = 55\n\t\tv[702,6] = 61\n\t\tv[703,6] = 17\n\t\tv[704,6] = 117\n\t\tv[705,6] = 69\n\t\tv[706,6] = 97\n\t\tv[707,6] = 87\n\t\tv[708,6] = 111\n\t\tv[709,6] = 37\n\t\tv[710,6] = 93\n\t\tv[711,6] = 59\n\t\tv[712,6] = 79\n\t\tv[713,6] = 95\n\t\tv[714,6] = 53\n\t\tv[715,6] = 115\n\t\tv[716,6] = 53\n\t\tv[717,6] = 85\n\t\tv[718,6] = 85\n\t\tv[719,6] = 65\n\t\tv[720,6] = 59\n\t\tv[721,6] = 23\n\t\tv[722,6] = 75\n\t\tv[723,6] = 21\n\t\tv[724,6] = 67\n\t\tv[725,6] = 27\n\t\tv[726,6] = 99\n\t\tv[727,6] = 79\n\t\tv[728,6] = 27\n\t\tv[729,6] = 3\n\t\tv[730,6] = 95\n\t\tv[731,6] = 27\n\t\tv[732,6] = 69\n\t\tv[733,6] = 19\n\t\tv[734,6] = 75\n\t\tv[735,6] = 47\n\t\tv[736,6] = 59\n\t\tv[737,6] = 41\n\t\tv[738,6] = 85\n\t\tv[739,6] = 77\n\t\tv[740,6] = 99\n\t\tv[741,6] = 55\n\t\tv[742,6] = 49\n\t\tv[743,6] = 93\n\t\tv[744,6] = 93\n\t\tv[745,6] = 119\n\t\tv[746,6] = 51\n\t\tv[747,6] = 125\n\t\tv[748,6] = 63\n\t\tv[749,6] = 13\n\t\tv[750,6] = 15\n\t\tv[751,6] = 45\n\t\tv[752,6] = 61\n\t\tv[753,6] = 19\n\t\tv[754,6] = 105\n\t\tv[755,6] = 115\n\t\tv[756,6] = 17\n\t\tv[757,6] = 83\n\t\tv[758,6] = 7\n\t\tv[759,6] = 7\n\t\tv[760,6] = 11\n\t\tv[761,6] = 61\n\t\tv[762,6] = 37\n\t\tv[763,6] = 63\n\t\tv[764,6] = 89\n\t\tv[765,6] = 95\n\t\tv[766,6] = 119\n\t\tv[767,6] = 113\n\t\tv[768,6] = 67\n\t\tv[769,6] = 123\n\t\tv[770,6] = 91\n\t\tv[771,6] = 33\n\t\tv[772,6] = 37\n\t\tv[773,6] = 99\n\t\tv[774,6] = 43\n\t\tv[775,6] = 11\n\t\tv[776,6] = 33\n\t\tv[777,6] = 65\n\t\tv[778,6] = 81\n\t\tv[779,6] = 79\n\t\tv[780,6] = 81\n\t\tv[781,6] = 107\n\t\tv[782,6] = 63\n\t\tv[783,6] = 63\n\t\tv[784,6] = 55\n\t\tv[785,6] = 89\n\t\tv[786,6] = 91\n\t\tv[787,6] = 25\n\t\tv[788,6] = 93\n\t\tv[789,6] = 101\n\t\tv[790,6] = 27\n\t\tv[791,6] = 55\n\t\tv[792,6] = 75\n\t\tv[793,6] = 121\n\t\tv[794,6] = 79\n\t\tv[795,6] = 43\n\t\tv[796,6] = 125\n\t\tv[797,6] = 73\n\t\tv[798,6] = 27\n\t\tv[799,6] = 109\n\t\tv[800,6] = 35\n\t\tv[801,6] = 21\n\t\tv[802,6] = 71\n\t\tv[803,6] = 113\n\t\tv[804,6] = 89\n\t\tv[805,6] = 59\n\t\tv[806,6] = 95\n\t\tv[807,6] = 41\n\t\tv[808,6] = 45\n\t\tv[809,6] = 113\n\t\tv[810,6] = 119\n\t\tv[811,6] = 113\n\t\tv[812,6] = 39\n\t\tv[813,6] = 59\n\t\tv[814,6] = 73\n\t\tv[815,6] = 15\n\t\tv[816,6] = 13\n\t\tv[817,6] = 59\n\t\tv[818,6] = 67\n\t\tv[819,6] = 121\n\t\tv[820,6] = 27\n\t\tv[821,6] = 7\n\t\tv[822,6] = 105\n\t\tv[823,6] = 15\n\t\tv[824,6] = 59\n\t\tv[825,6] = 59\n\t\tv[826,6] = 35\n\t\tv[827,6] = 91\n\t\tv[828,6] = 89\n\t\tv[829,6] = 23\n\t\tv[830,6] = 125\n\t\tv[831,6] = 97\n\t\tv[832,6] = 53\n\t\tv[833,6] = 41\n\t\tv[834,6] = 91\n\t\tv[835,6] = 111\n\t\tv[836,6] = 29\n\t\tv[837,6] = 31\n\t\tv[838,6] = 3\n\t\tv[839,6] = 103\n\t\tv[840,6] = 61\n\t\tv[841,6] = 71\n\t\tv[842,6] = 35\n\t\tv[843,6] = 7\n\t\tv[844,6] = 119\n\t\tv[845,6] = 29\n\t\tv[846,6] = 45\n\t\tv[847,6] = 49\n\t\tv[848,6] = 111\n\t\tv[849,6] = 41\n\t\tv[850,6] = 109\n\t\tv[851,6] = 59\n\t\tv[852,6] = 125\n\t\tv[853,6] = 13\n\t\tv[854,6] = 27\n\t\tv[855,6] = 19\n\t\tv[856,6] = 79\n\t\tv[857,6] = 9\n\t\tv[858,6] = 75\n\t\tv[859,6] = 83\n\t\tv[860,6] = 81\n\t\tv[861,6] = 33\n\t\tv[862,6] = 91\n\t\tv[863,6] = 109\n\t\tv[864,6] = 33\n\t\tv[865,6] = 29\n\t\tv[866,6] = 107\n\t\tv[867,6] = 111\n\t\tv[868,6] = 101\n\t\tv[869,6] = 107\n\t\tv[870,6] = 109\n\t\tv[871,6] = 65\n\t\tv[872,6] = 59\n\t\tv[873,6] = 43\n\t\tv[874,6] = 37\n\t\tv[875,6] = 1\n\t\tv[876,6] = 9\n\t\tv[877,6] = 15\n\t\tv[878,6] = 109\n\t\tv[879,6] = 37\n\t\tv[880,6] = 111\n\t\tv[881,6] = 113\n\t\tv[882,6] = 119\n\t\tv[883,6] = 79\n\t\tv[884,6] = 73\n\t\tv[885,6] = 65\n\t\tv[886,6] = 71\n\t\tv[887,6] = 93\n\t\tv[888,6] = 17\n\t\tv[889,6] = 101\n\t\tv[890,6] = 87\n\t\tv[891,6] = 97\n\t\tv[892,6] = 43\n\t\tv[893,6] = 23\n\t\tv[894,6] = 75\n\t\tv[895,6] = 109\n\t\tv[896,6] = 41\n\t\tv[897,6] = 49\n\t\tv[898,6] = 53\n\t\tv[899,6] = 31\n\t\tv[900,6] = 97\n\t\tv[901,6] = 105\n\t\tv[902,6] = 109\n\t\tv[903,6] = 119\n\t\tv[904,6] = 51\n\t\tv[905,6] = 9\n\t\tv[906,6] = 53\n\t\tv[907,6] = 113\n\t\tv[908,6] = 97\n\t\tv[909,6] = 73\n\t\tv[910,6] = 89\n\t\tv[911,6] = 79\n\t\tv[912,6] = 49\n\t\tv[913,6] = 61\n\t\tv[914,6] = 105\n\t\tv[915,6] = 13\n\t\tv[916,6] = 99\n\t\tv[917,6] = 53\n\t\tv[918,6] = 71\n\t\tv[919,6] = 7\n\t\tv[920,6] = 87\n\t\tv[921,6] = 21\n\t\tv[922,6] = 101\n\t\tv[923,6] = 5\n\t\tv[924,6] = 71\n\t\tv[925,6] = 31\n\t\tv[926,6] = 123\n\t\tv[927,6] = 121\n\t\tv[928,6] = 121\n\t\tv[929,6] = 73\n\t\tv[930,6] = 79\n\t\tv[931,6] = 115\n\t\tv[932,6] = 13\n\t\tv[933,6] = 39\n\t\tv[934,6] = 101\n\t\tv[935,6] = 19\n\t\tv[936,6] = 37\n\t\tv[937,6] = 51\n\t\tv[938,6] = 83\n\t\tv[939,6] = 97\n\t\tv[940,6] = 55\n\t\tv[941,6] = 81\n\t\tv[942,6] = 91\n\t\tv[943,6] = 127\n\t\tv[944,6] = 105\n\t\tv[945,6] = 89\n\t\tv[946,6] = 63\n\t\tv[947,6] = 47\n\t\tv[948,6] = 49\n\t\tv[949,6] = 75\n\t\tv[950,6] = 37\n\t\tv[951,6] = 77\n\t\tv[952,6] = 15\n\t\tv[953,6] = 49\n\t\tv[954,6] = 107\n\t\tv[955,6] = 23\n\t\tv[956,6] = 23\n\t\tv[957,6] = 35\n\t\tv[958,6] = 19\n\t\tv[959,6] = 69\n\t\tv[960,6] = 17\n\t\tv[961,6] = 59\n\t\tv[962,6] = 63\n\t\tv[963,6] = 73\n\t\tv[964,6] = 29\n\t\tv[965,6] = 125\n\t\tv[966,6] = 61\n\t\tv[967,6] = 65\n\t\tv[968,6] = 95\n\t\tv[969,6] = 101\n\t\tv[970,6] = 81\n\t\tv[971,6] = 57\n\t\tv[972,6] = 69\n\t\tv[973,6] = 83\n\t\tv[974,6] = 37\n\t\tv[975,6] = 11\n\t\tv[976,6] = 37\n\t\tv[977,6] = 95\n\t\tv[978,6] = 1\n\t\tv[979,6] = 73\n\t\tv[980,6] = 27\n\t\tv[981,6] = 29\n\t\tv[982,6] = 57\n\t\tv[983,6] = 7\n\t\tv[984,6] = 65\n\t\tv[985,6] = 83\n\t\tv[986,6] = 99\n\t\tv[987,6] = 69\n\t\tv[988,6] = 19\n\t\tv[989,6] = 103\n\t\tv[990,6] = 43\n\t\tv[991,6] = 95\n\t\tv[992,6] = 25\n\t\tv[993,6] = 19\n\t\tv[994,6] = 103\n\t\tv[995,6] = 41\n\t\tv[996,6] = 125\n\t\tv[997,6] = 97\n\t\tv[998,6] = 71\n\t\tv[999,6] = 105\n\t\tv[1000,6] = 83\n\t\tv[1001,6] = 83\n\t\tv[1002,6] = 61\n\t\tv[1003,6] = 39\n\t\tv[1004,6] = 9\n\t\tv[1005,6] = 45\n\t\tv[1006,6] = 117\n\t\tv[1007,6] = 63\n\t\tv[1008,6] = 31\n\t\tv[1009,6] = 5\n\t\tv[1010,6] = 117\n\t\tv[1011,6] = 67\n\t\tv[1012,6] = 125\n\t\tv[1013,6] = 41\n\t\tv[1014,6] = 117\n\t\tv[1015,6] = 43\n\t\tv[1016,6] = 77\n\t\tv[1017,6] = 97\n\t\tv[1018,6] = 15\n\t\tv[1019,6] = 29\n\t\tv[1020,6] = 5\n\t\tv[1021,6] = 59\n\t\tv[1022,6] = 25\n\t\tv[1023,6] = 63\n\t\tv[1024,6] = 87\n\t\tv[1025,6] = 39\n\t\tv[1026,6] = 39\n\t\tv[1027,6] = 77\n\t\tv[1028,6] = 85\n\t\tv[1029,6] = 37\n\t\tv[1030,6] = 81\n\t\tv[1031,6] = 73\n\t\tv[1032,6] = 89\n\t\tv[1033,6] = 29\n\t\tv[1034,6] = 125\n\t\tv[1035,6] = 109\n\t\tv[1036,6] = 21\n\t\tv[1037,6] = 23\n\t\tv[1038,6] = 119\n\t\tv[1039,6] = 105\n\t\tv[1040,6] = 43\n\t\tv[1041,6] = 93\n\t\tv[1042,6] = 97\n\t\tv[1043,6] = 15\n\t\tv[1044,6] = 125\n\t\tv[1045,6] = 29\n\t\tv[1046,6] = 51\n\t\tv[1047,6] = 69\n\t\tv[1048,6] = 37\n\t\tv[1049,6] = 45\n\t\tv[1050,6] = 31\n\t\tv[1051,6] = 75\n\t\tv[1052,6] = 109\n\t\tv[1053,6] = 119\n\t\tv[1054,6] = 53\n\t\tv[1055,6] = 5\n\t\tv[1056,6] = 101\n\t\tv[1057,6] = 125\n\t\tv[1058,6] = 121\n\t\tv[1059,6] = 35\n\t\tv[1060,6] = 29\n\t\tv[1061,6] = 7\n\t\tv[1062,6] = 63\n\t\tv[1063,6] = 17\n\t\tv[1064,6] = 63\n\t\tv[1065,6] = 13\n\t\tv[1066,6] = 69\n\t\tv[1067,6] = 15\n\t\tv[1068,6] = 105\n\t\tv[1069,6] = 51\n\t\tv[1070,6] = 127\n\t\tv[1071,6] = 105\n\t\tv[1072,6] = 9\n\t\tv[1073,6] = 57\n\t\tv[1074,6] = 95\n\t\tv[1075,6] = 59\n\t\tv[1076,6] = 109\n\t\tv[1077,6] = 35\n\t\tv[1078,6] = 49\n\t\tv[1079,6] = 23\n\t\tv[1080,6] = 33\n\t\tv[1081,6] = 107\n\t\tv[1082,6] = 55\n\t\tv[1083,6] = 33\n\t\tv[1084,6] = 57\n\t\tv[1085,6] = 79\n\t\tv[1086,6] = 73\n\t\tv[1087,6] = 69\n\t\tv[1088,6] = 59\n\t\tv[1089,6] = 107\n\t\tv[1090,6] = 55\n\t\tv[1091,6] = 11\n\t\tv[1092,6] = 63\n\t\tv[1093,6] = 95\n\t\tv[1094,6] = 103\n\t\tv[1095,6] = 23\n\t\tv[1096,6] = 125\n\t\tv[1097,6] = 91\n\t\tv[1098,6] = 31\n\t\tv[1099,6] = 91\n\t\tv[1100,6] = 51\n\t\tv[1101,6] = 65\n\t\tv[1102,6] = 61\n\t\tv[1103,6] = 75\n\t\tv[1104,6] = 69\n\t\tv[1105,6] = 107\n\t\tv[1106,6] = 65\n\t\tv[1107,6] = 101\n\t\tv[1108,6] = 59\n\t\tv[1109,6] = 35\n\t\tv[1110,6] = 15\n\n\t\tv[37,7] = 7\n\t\tv[38,7] = 23\n\t\tv[39,7] = 39\n\t\tv[40,7] = 217\n\t\tv[41,7] = 141\n\t\tv[42,7] = 27\n\t\tv[43,7] = 53\n\t\tv[44,7] = 181\n\t\tv[45,7] = 169\n\t\tv[46,7] = 35\n\t\tv[47,7] = 15\n\t\tv[48,7] = 207\n\t\tv[49,7] = 45\n\t\tv[50,7] = 247\n\t\tv[51,7] = 185\n\t\tv[52,7] = 117\n\t\tv[53,7] = 41\n\t\tv[54,7] = 81\n\t\tv[55,7] = 223\n\t\tv[56,7] = 151\n\t\tv[57,7] = 81\n\t\tv[58,7] = 189\n\t\tv[59,7] = 61\n\t\tv[60,7] = 95\n\t\tv[61,7] = 185\n\t\tv[62,7] = 23\n\t\tv[63,7] = 73\n\t\tv[64,7] = 113\n\t\tv[65,7] = 239\n\t\tv[66,7] = 85\n\t\tv[67,7] = 9\n\t\tv[68,7] = 201\n\t\tv[69,7] = 83\n\t\tv[70,7] = 53\n\t\tv[71,7] = 183\n\t\tv[72,7] = 203\n\t\tv[73,7] = 91\n\t\tv[74,7] = 149\n\t\tv[75,7] = 101\n\t\tv[76,7] = 13\n\t\tv[77,7] = 111\n\t\tv[78,7] = 239\n\t\tv[79,7] = 3\n\t\tv[80,7] = 205\n\t\tv[81,7] = 253\n\t\tv[82,7] = 247\n\t\tv[83,7] = 121\n\t\tv[84,7] = 189\n\t\tv[85,7] = 169\n\t\tv[86,7] = 179\n\t\tv[87,7] = 197\n\t\tv[88,7] = 175\n\t\tv[89,7] = 217\n\t\tv[90,7] = 249\n\t\tv[91,7] = 195\n\t\tv[92,7] = 95\n\t\tv[93,7] = 63\n\t\tv[94,7] = 19\n\t\tv[95,7] = 7\n\t\tv[96,7] = 5\n\t\tv[97,7] = 75\n\t\tv[98,7] = 217\n\t\tv[99,7] = 245\n\t\tv[100,7] = 111\n\t\tv[101,7] = 189\n\t\tv[102,7] = 165\n\t\tv[103,7] = 169\n\t\tv[104,7] = 141\n\t\tv[105,7] = 221\n\t\tv[106,7] = 249\n\t\tv[107,7] = 159\n\t\tv[108,7] = 253\n\t\tv[109,7] = 207\n\t\tv[110,7] = 249\n\t\tv[111,7] = 219\n\t\tv[112,7] = 23\n\t\tv[113,7] = 49\n\t\tv[114,7] = 127\n\t\tv[115,7] = 237\n\t\tv[116,7] = 5\n\t\tv[117,7] = 25\n\t\tv[118,7] = 177\n\t\tv[119,7] = 37\n\t\tv[120,7] = 103\n\t\tv[121,7] = 65\n\t\tv[122,7] = 167\n\t\tv[123,7] = 81\n\t\tv[124,7] = 87\n\t\tv[125,7] = 119\n\t\tv[126,7] = 45\n\t\tv[127,7] = 79\n\t\tv[128,7] = 143\n\t\tv[129,7] = 57\n\t\tv[130,7] = 79\n\t\tv[131,7] = 187\n\t\tv[132,7] = 143\n\t\tv[133,7] = 183\n\t\tv[134,7] = 75\n\t\tv[135,7] = 97\n\t\tv[136,7] = 211\n\t\tv[137,7] = 149\n\t\tv[138,7] = 175\n\t\tv[139,7] = 37\n\t\tv[140,7] = 135\n\t\tv[141,7] = 189\n\t\tv[142,7] = 225\n\t\tv[143,7] = 241\n\t\tv[144,7] = 63\n\t\tv[145,7] = 33\n\t\tv[146,7] = 43\n\t\tv[147,7] = 13\n\t\tv[148,7] = 73\n\t\tv[149,7] = 213\n\t\tv[150,7] = 57\n\t\tv[151,7] = 239\n\t\tv[152,7] = 183\n\t\tv[153,7] = 117\n\t\tv[154,7] = 21\n\t\tv[155,7] = 29\n\t\tv[156,7] = 115\n\t\tv[157,7] = 43\n\t\tv[158,7] = 205\n\t\tv[159,7] = 223\n\t\tv[160,7] = 15\n\t\tv[161,7] = 3\n\t\tv[162,7] = 159\n\t\tv[163,7] = 51\n\t\tv[164,7] = 101\n\t\tv[165,7] = 127\n\t\tv[166,7] = 99\n\t\tv[167,7] = 239\n\t\tv[168,7] = 171\n\t\tv[169,7] = 113\n\t\tv[170,7] = 171\n\t\tv[171,7] = 119\n\t\tv[172,7] = 189\n\t\tv[173,7] = 245\n\t\tv[174,7] = 201\n\t\tv[175,7] = 27\n\t\tv[176,7] = 185\n\t\tv[177,7] = 229\n\t\tv[178,7] = 105\n\t\tv[179,7] = 153\n\t\tv[180,7] = 189\n\t\tv[181,7] = 33\n\t\tv[182,7] = 35\n\t\tv[183,7] = 137\n\t\tv[184,7] = 77\n\t\tv[185,7] = 97\n\t\tv[186,7] = 17\n\t\tv[187,7] = 181\n\t\tv[188,7] = 55\n\t\tv[189,7] = 197\n\t\tv[190,7] = 201\n\t\tv[191,7] = 155\n\t\tv[192,7] = 37\n\t\tv[193,7] = 197\n\t\tv[194,7] = 137\n\t\tv[195,7] = 223\n\t\tv[196,7] = 25\n\t\tv[197,7] = 179\n\t\tv[198,7] = 91\n\t\tv[199,7] = 23\n\t\tv[200,7] = 235\n\t\tv[201,7] = 53\n\t\tv[202,7] = 253\n\t\tv[203,7] = 49\n\t\tv[204,7] = 181\n\t\tv[205,7] = 249\n\t\tv[206,7] = 53\n\t\tv[207,7] = 173\n\t\tv[208,7] = 97\n\t\tv[209,7] = 247\n\t\tv[210,7] = 67\n\t\tv[211,7] = 115\n\t\tv[212,7] = 103\n\t\tv[213,7] = 159\n\t\tv[214,7] = 239\n\t\tv[215,7] = 69\n\t\tv[216,7] = 173\n\t\tv[217,7] = 217\n\t\tv[218,7] = 95\n\t\tv[219,7] = 221\n\t\tv[220,7] = 247\n\t\tv[221,7] = 97\n\t\tv[222,7] = 91\n\t\tv[223,7] = 123\n\t\tv[224,7] = 223\n\t\tv[225,7] = 213\n\t\tv[226,7] = 129\n\t\tv[227,7] = 181\n\t\tv[228,7] = 87\n\t\tv[229,7] = 239\n\t\tv[230,7] = 85\n\t\tv[231,7] = 89\n\t\tv[232,7] = 249\n\t\tv[233,7] = 141\n\t\tv[234,7] = 39\n\t\tv[235,7] = 57\n\t\tv[236,7] = 249\n\t\tv[237,7] = 71\n\t\tv[238,7] = 101\n\t\tv[239,7] = 159\n\t\tv[240,7] = 33\n\t\tv[241,7] = 137\n\t\tv[242,7] = 189\n\t\tv[243,7] = 71\n\t\tv[244,7] = 253\n\t\tv[245,7] = 205\n\t\tv[246,7] = 171\n\t\tv[247,7] = 13\n\t\tv[248,7] = 249\n\t\tv[249,7] = 109\n\t\tv[250,7] = 131\n\t\tv[251,7] = 199\n\t\tv[252,7] = 189\n\t\tv[253,7] = 179\n\t\tv[254,7] = 31\n\t\tv[255,7] = 99\n\t\tv[256,7] = 113\n\t\tv[257,7] = 41\n\t\tv[258,7] = 173\n\t\tv[259,7] = 23\n\t\tv[260,7] = 189\n\t\tv[261,7] = 197\n\t\tv[262,7] = 3\n\t\tv[263,7] = 135\n\t\tv[264,7] = 9\n\t\tv[265,7] = 95\n\t\tv[266,7] = 195\n\t\tv[267,7] = 27\n\t\tv[268,7] = 183\n\t\tv[269,7] = 1\n\t\tv[270,7] = 123\n\t\tv[271,7] = 73\n\t\tv[272,7] = 53\n\t\tv[273,7] = 99\n\t\tv[274,7] = 197\n\t\tv[275,7] = 59\n\t\tv[276,7] = 27\n\t\tv[277,7] = 101\n\t\tv[278,7] = 55\n\t\tv[279,7] = 193\n\t\tv[280,7] = 31\n\t\tv[281,7] = 61\n\t\tv[282,7] = 119\n\t\tv[283,7] = 11\n\t\tv[284,7] = 7\n\t\tv[285,7] = 255\n\t\tv[286,7] = 233\n\t\tv[287,7] = 53\n\t\tv[288,7] = 157\n\t\tv[289,7] = 193\n\t\tv[290,7] = 97\n\t\tv[291,7] = 83\n\t\tv[292,7] = 65\n\t\tv[293,7] = 81\n\t\tv[294,7] = 239\n\t\tv[295,7] = 167\n\t\tv[296,7] = 69\n\t\tv[297,7] = 71\n\t\tv[298,7] = 109\n\t\tv[299,7] = 97\n\t\tv[300,7] = 137\n\t\tv[301,7] = 71\n\t\tv[302,7] = 193\n\t\tv[303,7] = 189\n\t\tv[304,7] = 115\n\t\tv[305,7] = 79\n\t\tv[306,7] = 205\n\t\tv[307,7] = 37\n\t\tv[308,7] = 227\n\t\tv[309,7] = 53\n\t\tv[310,7] = 33\n\t\tv[311,7] = 91\n\t\tv[312,7] = 229\n\t\tv[313,7] = 245\n\t\tv[314,7] = 105\n\t\tv[315,7] = 77\n\t\tv[316,7] = 229\n\t\tv[317,7] = 161\n\t\tv[318,7] = 103\n\t\tv[319,7] = 93\n\t\tv[320,7] = 13\n\t\tv[321,7] = 161\n\t\tv[322,7] = 229\n\t\tv[323,7] = 223\n\t\tv[324,7] = 69\n\t\tv[325,7] = 15\n\t\tv[326,7] = 25\n\t\tv[327,7] = 23\n\t\tv[328,7] = 233\n\t\tv[329,7] = 93\n\t\tv[330,7] = 25\n\t\tv[331,7] = 217\n\t\tv[332,7] = 247\n\t\tv[333,7] = 61\n\t\tv[334,7] = 75\n\t\tv[335,7] = 27\n\t\tv[336,7] = 9\n\t\tv[337,7] = 223\n\t\tv[338,7] = 213\n\t\tv[339,7] = 55\n\t\tv[340,7] = 197\n\t\tv[341,7] = 145\n\t\tv[342,7] = 89\n\t\tv[343,7] = 199\n\t\tv[344,7] = 41\n\t\tv[345,7] = 201\n\t\tv[346,7] = 5\n\t\tv[347,7] = 149\n\t\tv[348,7] = 35\n\t\tv[349,7] = 119\n\t\tv[350,7] = 183\n\t\tv[351,7] = 53\n\t\tv[352,7] = 11\n\t\tv[353,7] = 13\n\t\tv[354,7] = 3\n\t\tv[355,7] = 179\n\t\tv[356,7] = 229\n\t\tv[357,7] = 43\n\t\tv[358,7] = 55\n\t\tv[359,7] = 187\n\t\tv[360,7] = 233\n\t\tv[361,7] = 47\n\t\tv[362,7] = 133\n\t\tv[363,7] = 91\n\t\tv[364,7] = 47\n\t\tv[365,7] = 71\n\t\tv[366,7] = 93\n\t\tv[367,7] = 105\n\t\tv[368,7] = 145\n\t\tv[369,7] = 45\n\t\tv[370,7] = 255\n\t\tv[371,7] = 221\n\t\tv[372,7] = 115\n\t\tv[373,7] = 175\n\t\tv[374,7] = 19\n\t\tv[375,7] = 129\n\t\tv[376,7] = 5\n\t\tv[377,7] = 209\n\t\tv[378,7] = 197\n\t\tv[379,7] = 57\n\t\tv[380,7] = 177\n\t\tv[381,7] = 115\n\t\tv[382,7] = 187\n\t\tv[383,7] = 119\n\t\tv[384,7] = 77\n\t\tv[385,7] = 211\n\t\tv[386,7] = 111\n\t\tv[387,7] = 33\n\t\tv[388,7] = 113\n\t\tv[389,7] = 23\n\t\tv[390,7] = 87\n\t\tv[391,7] = 137\n\t\tv[392,7] = 41\n\t\tv[393,7] = 7\n\t\tv[394,7] = 83\n\t\tv[395,7] = 43\n\t\tv[396,7] = 121\n\t\tv[397,7] = 145\n\t\tv[398,7] = 5\n\t\tv[399,7] = 219\n\t\tv[400,7] = 27\n\t\tv[401,7] = 11\n\t\tv[402,7] = 111\n\t\tv[403,7] = 207\n\t\tv[404,7] = 55\n\t\tv[405,7] = 97\n\t\tv[406,7] = 63\n\t\tv[407,7] = 229\n\t\tv[408,7] = 53\n\t\tv[409,7] = 33\n\t\tv[410,7] = 149\n\t\tv[411,7] = 23\n\t\tv[412,7] = 187\n\t\tv[413,7] = 153\n\t\tv[414,7] = 91\n\t\tv[415,7] = 193\n\t\tv[416,7] = 183\n\t\tv[417,7] = 59\n\t\tv[418,7] = 211\n\t\tv[419,7] = 93\n\t\tv[420,7] = 139\n\t\tv[421,7] = 59\n\t\tv[422,7] = 179\n\t\tv[423,7] = 163\n\t\tv[424,7] = 209\n\t\tv[425,7] = 77\n\t\tv[426,7] = 39\n\t\tv[427,7] = 111\n\t\tv[428,7] = 79\n\t\tv[429,7] = 229\n\t\tv[430,7] = 85\n\t\tv[431,7] = 237\n\t\tv[432,7] = 199\n\t\tv[433,7] = 137\n\t\tv[434,7] = 147\n\t\tv[435,7] = 25\n\t\tv[436,7] = 73\n\t\tv[437,7] = 121\n\t\tv[438,7] = 129\n\t\tv[439,7] = 83\n\t\tv[440,7] = 87\n\t\tv[441,7] = 93\n\t\tv[442,7] = 205\n\t\tv[443,7] = 167\n\t\tv[444,7] = 53\n\t\tv[445,7] = 107\n\t\tv[446,7] = 229\n\t\tv[447,7] = 213\n\t\tv[448,7] = 95\n\t\tv[449,7] = 219\n\t\tv[450,7] = 109\n\t\tv[451,7] = 175\n\t\tv[452,7] = 13\n\t\tv[453,7] = 209\n\t\tv[454,7] = 97\n\t\tv[455,7] = 61\n\t\tv[456,7] = 147\n\t\tv[457,7] = 19\n\t\tv[458,7] = 13\n\t\tv[459,7] = 123\n\t\tv[460,7] = 73\n\t\tv[461,7] = 35\n\t\tv[462,7] = 141\n\t\tv[463,7] = 81\n\t\tv[464,7] = 19\n\t\tv[465,7] = 171\n\t\tv[466,7] = 255\n\t\tv[467,7] = 111\n\t\tv[468,7] = 107\n\t\tv[469,7] = 233\n\t\tv[470,7] = 113\n\t\tv[471,7] = 133\n\t\tv[472,7] = 89\n\t\tv[473,7] = 9\n\t\tv[474,7] = 231\n\t\tv[475,7] = 95\n\t\tv[476,7] = 69\n\t\tv[477,7] = 33\n\t\tv[478,7] = 1\n\t\tv[479,7] = 253\n\t\tv[480,7] = 219\n\t\tv[481,7] = 253\n\t\tv[482,7] = 247\n\t\tv[483,7] = 129\n\t\tv[484,7] = 11\n\t\tv[485,7] = 251\n\t\tv[486,7] = 221\n\t\tv[487,7] = 153\n\t\tv[488,7] = 35\n\t\tv[489,7] = 103\n\t\tv[490,7] = 239\n\t\tv[491,7] = 7\n\t\tv[492,7] = 27\n\t\tv[493,7] = 235\n\t\tv[494,7] = 181\n\t\tv[495,7] = 5\n\t\tv[496,7] = 207\n\t\tv[497,7] = 53\n\t\tv[498,7] = 149\n\t\tv[499,7] = 155\n\t\tv[500,7] = 225\n\t\tv[501,7] = 165\n\t\tv[502,7] = 137\n\t\tv[503,7] = 155\n\t\tv[504,7] = 201\n\t\tv[505,7] = 97\n\t\tv[506,7] = 245\n\t\tv[507,7] = 203\n\t\tv[508,7] = 47\n\t\tv[509,7] = 39\n\t\tv[510,7] = 35\n\t\tv[511,7] = 105\n\t\tv[512,7] = 239\n\t\tv[513,7] = 49\n\t\tv[514,7] = 15\n\t\tv[515,7] = 253\n\t\tv[516,7] = 7\n\t\tv[517,7] = 237\n\t\tv[518,7] = 213\n\t\tv[519,7] = 55\n\t\tv[520,7] = 87\n\t\tv[521,7] = 199\n\t\tv[522,7] = 27\n\t\tv[523,7] = 175\n\t\tv[524,7] = 49\n\t\tv[525,7] = 41\n\t\tv[526,7] = 229\n\t\tv[527,7] = 85\n\t\tv[528,7] = 3\n\t\tv[529,7] = 149\n\t\tv[530,7] = 179\n\t\tv[531,7] = 129\n\t\tv[532,7] = 185\n\t\tv[533,7] = 249\n\t\tv[534,7] = 197\n\t\tv[535,7] = 15\n\t\tv[536,7] = 97\n\t\tv[537,7] = 197\n\t\tv[538,7] = 139\n\t\tv[539,7] = 203\n\t\tv[540,7] = 63\n\t\tv[541,7] = 33\n\t\tv[542,7] = 251\n\t\tv[543,7] = 217\n\t\tv[544,7] = 199\n\t\tv[545,7] = 199\n\t\tv[546,7] = 99\n\t\tv[547,7] = 249\n\t\tv[548,7] = 33\n\t\tv[549,7] = 229\n\t\tv[550,7] = 177\n\t\tv[551,7] = 13\n\t\tv[552,7] = 209\n\t\tv[553,7] = 147\n\t\tv[554,7] = 97\n\t\tv[555,7] = 31\n\t\tv[556,7] = 125\n\t\tv[557,7] = 177\n\t\tv[558,7] = 137\n\t\tv[559,7] = 187\n\t\tv[560,7] = 11\n\t\tv[561,7] = 91\n\t\tv[562,7] = 223\n\t\tv[563,7] = 29\n\t\tv[564,7] = 169\n\t\tv[565,7] = 231\n\t\tv[566,7] = 59\n\t\tv[567,7] = 31\n\t\tv[568,7] = 163\n\t\tv[569,7] = 41\n\t\tv[570,7] = 57\n\t\tv[571,7] = 87\n\t\tv[572,7] = 247\n\t\tv[573,7] = 25\n\t\tv[574,7] = 127\n\t\tv[575,7] = 101\n\t\tv[576,7] = 207\n\t\tv[577,7] = 187\n\t\tv[578,7] = 73\n\t\tv[579,7] = 61\n\t\tv[580,7] = 105\n\t\tv[581,7] = 27\n\t\tv[582,7] = 91\n\t\tv[583,7] = 171\n\t\tv[584,7] = 243\n\t\tv[585,7] = 33\n\t\tv[586,7] = 3\n\t\tv[587,7] = 1\n\t\tv[588,7] = 21\n\t\tv[589,7] = 229\n\t\tv[590,7] = 93\n\t\tv[591,7] = 71\n\t\tv[592,7] = 61\n\t\tv[593,7] = 37\n\t\tv[594,7] = 183\n\t\tv[595,7] = 65\n\t\tv[596,7] = 211\n\t\tv[597,7] = 53\n\t\tv[598,7] = 11\n\t\tv[599,7] = 151\n\t\tv[600,7] = 165\n\t\tv[601,7] = 47\n\t\tv[602,7] = 5\n\t\tv[603,7] = 129\n\t\tv[604,7] = 79\n\t\tv[605,7] = 101\n\t\tv[606,7] = 147\n\t\tv[607,7] = 169\n\t\tv[608,7] = 181\n\t\tv[609,7] = 19\n\t\tv[610,7] = 95\n\t\tv[611,7] = 77\n\t\tv[612,7] = 139\n\t\tv[613,7] = 197\n\t\tv[614,7] = 219\n\t\tv[615,7] = 97\n\t\tv[616,7] = 239\n\t\tv[617,7] = 183\n\t\tv[618,7] = 143\n\t\tv[619,7] = 9\n\t\tv[620,7] = 13\n\t\tv[621,7] = 209\n\t\tv[622,7] = 23\n\t\tv[623,7] = 215\n\t\tv[624,7] = 53\n\t\tv[625,7] = 137\n\t\tv[626,7] = 203\n\t\tv[627,7] = 19\n\t\tv[628,7] = 151\n\t\tv[629,7] = 171\n\t\tv[630,7] = 133\n\t\tv[631,7] = 219\n\t\tv[632,7] = 231\n\t\tv[633,7] = 3\n\t\tv[634,7] = 15\n\t\tv[635,7] = 253\n\t\tv[636,7] = 225\n\t\tv[637,7] = 33\n\t\tv[638,7] = 111\n\t\tv[639,7] = 183\n\t\tv[640,7] = 213\n\t\tv[641,7] = 169\n\t\tv[642,7] = 119\n\t\tv[643,7] = 111\n\t\tv[644,7] = 15\n\t\tv[645,7] = 201\n\t\tv[646,7] = 123\n\t\tv[647,7] = 121\n\t\tv[648,7] = 225\n\t\tv[649,7] = 113\n\t\tv[650,7] = 113\n\t\tv[651,7] = 225\n\t\tv[652,7] = 161\n\t\tv[653,7] = 165\n\t\tv[654,7] = 1\n\t\tv[655,7] = 139\n\t\tv[656,7] = 55\n\t\tv[657,7] = 3\n\t\tv[658,7] = 93\n\t\tv[659,7] = 217\n\t\tv[660,7] = 193\n\t\tv[661,7] = 97\n\t\tv[662,7] = 29\n\t\tv[663,7] = 69\n\t\tv[664,7] = 231\n\t\tv[665,7] = 161\n\t\tv[666,7] = 93\n\t\tv[667,7] = 69\n\t\tv[668,7] = 143\n\t\tv[669,7] = 137\n\t\tv[670,7] = 9\n\t\tv[671,7] = 87\n\t\tv[672,7] = 183\n\t\tv[673,7] = 113\n\t\tv[674,7] = 183\n\t\tv[675,7] = 73\n\t\tv[676,7] = 215\n\t\tv[677,7] = 137\n\t\tv[678,7] = 89\n\t\tv[679,7] = 251\n\t\tv[680,7] = 163\n\t\tv[681,7] = 41\n\t\tv[682,7] = 227\n\t\tv[683,7] = 145\n\t\tv[684,7] = 57\n\t\tv[685,7] = 81\n\t\tv[686,7] = 57\n\t\tv[687,7] = 11\n\t\tv[688,7] = 135\n\t\tv[689,7] = 145\n\t\tv[690,7] = 161\n\t\tv[691,7] = 175\n\t\tv[692,7] = 159\n\t\tv[693,7] = 25\n\t\tv[694,7] = 55\n\t\tv[695,7] = 167\n\t\tv[696,7] = 157\n\t\tv[697,7] = 211\n\t\tv[698,7] = 97\n\t\tv[699,7] = 247\n\t\tv[700,7] = 249\n\t\tv[701,7] = 23\n\t\tv[702,7] = 129\n\t\tv[703,7] = 159\n\t\tv[704,7] = 71\n\t\tv[705,7] = 197\n\t\tv[706,7] = 127\n\t\tv[707,7] = 141\n\t\tv[708,7] = 219\n\t\tv[709,7] = 5\n\t\tv[710,7] = 233\n\t\tv[711,7] = 131\n\t\tv[712,7] = 217\n\t\tv[713,7] = 101\n\t\tv[714,7] = 131\n\t\tv[715,7] = 33\n\t\tv[716,7] = 157\n\t\tv[717,7] = 173\n\t\tv[718,7] = 69\n\t\tv[719,7] = 207\n\t\tv[720,7] = 239\n\t\tv[721,7] = 81\n\t\tv[722,7] = 205\n\t\tv[723,7] = 11\n\t\tv[724,7] = 41\n\t\tv[725,7] = 169\n\t\tv[726,7] = 65\n\t\tv[727,7] = 193\n\t\tv[728,7] = 77\n\t\tv[729,7] = 201\n\t\tv[730,7] = 173\n\t\tv[731,7] = 1\n\t\tv[732,7] = 221\n\t\tv[733,7] = 157\n\t\tv[734,7] = 1\n\t\tv[735,7] = 15\n\t\tv[736,7] = 113\n\t\tv[737,7] = 147\n\t\tv[738,7] = 137\n\t\tv[739,7] = 205\n\t\tv[740,7] = 225\n\t\tv[741,7] = 73\n\t\tv[742,7] = 45\n\t\tv[743,7] = 49\n\t\tv[744,7] = 149\n\t\tv[745,7] = 113\n\t\tv[746,7] = 253\n\t\tv[747,7] = 99\n\t\tv[748,7] = 17\n\t\tv[749,7] = 119\n\t\tv[750,7] = 105\n\t\tv[751,7] = 117\n\t\tv[752,7] = 129\n\t\tv[753,7] = 243\n\t\tv[754,7] = 75\n\t\tv[755,7] = 203\n\t\tv[756,7] = 53\n\t\tv[757,7] = 29\n\t\tv[758,7] = 247\n\t\tv[759,7] = 35\n\t\tv[760,7] = 247\n\t\tv[761,7] = 171\n\t\tv[762,7] = 31\n\t\tv[763,7] = 199\n\t\tv[764,7] = 213\n\t\tv[765,7] = 29\n\t\tv[766,7] = 251\n\t\tv[767,7] = 7\n\t\tv[768,7] = 251\n\t\tv[769,7] = 187\n\t\tv[770,7] = 91\n\t\tv[771,7] = 11\n\t\tv[772,7] = 149\n\t\tv[773,7] = 13\n\t\tv[774,7] = 205\n\t\tv[775,7] = 37\n\t\tv[776,7] = 249\n\t\tv[777,7] = 137\n\t\tv[778,7] = 139\n\t\tv[779,7] = 9\n\t\tv[780,7] = 7\n\t\tv[781,7] = 113\n\t\tv[782,7] = 183\n\t\tv[783,7] = 205\n\t\tv[784,7] = 187\n\t\tv[785,7] = 39\n\t\tv[786,7] = 3\n\t\tv[787,7] = 79\n\t\tv[788,7] = 155\n\t\tv[789,7] = 227\n\t\tv[790,7] = 89\n\t\tv[791,7] = 185\n\t\tv[792,7] = 51\n\t\tv[793,7] = 127\n\t\tv[794,7] = 63\n\t\tv[795,7] = 83\n\t\tv[796,7] = 41\n\t\tv[797,7] = 133\n\t\tv[798,7] = 183\n\t\tv[799,7] = 181\n\t\tv[800,7] = 127\n\t\tv[801,7] = 19\n\t\tv[802,7] = 255\n\t\tv[803,7] = 219\n\t\tv[804,7] = 59\n\t\tv[805,7] = 251\n\t\tv[806,7] = 3\n\t\tv[807,7] = 187\n\t\tv[808,7] = 57\n\t\tv[809,7] = 217\n\t\tv[810,7] = 115\n\t\tv[811,7] = 217\n\t\tv[812,7] = 229\n\t\tv[813,7] = 181\n\t\tv[814,7] = 185\n\t\tv[815,7] = 149\n\t\tv[816,7] = 83\n\t\tv[817,7] = 115\n\t\tv[818,7] = 11\n\t\tv[819,7] = 123\n\t\tv[820,7] = 19\n\t\tv[821,7] = 109\n\t\tv[822,7] = 165\n\t\tv[823,7] = 103\n\t\tv[824,7] = 123\n\t\tv[825,7] = 219\n\t\tv[826,7] = 129\n\t\tv[827,7] = 155\n\t\tv[828,7] = 207\n\t\tv[829,7] = 177\n\t\tv[830,7] = 9\n\t\tv[831,7] = 49\n\t\tv[832,7] = 181\n\t\tv[833,7] = 231\n\t\tv[834,7] = 33\n\t\tv[835,7] = 233\n\t\tv[836,7] = 67\n\t\tv[837,7] = 155\n\t\tv[838,7] = 41\n\t\tv[839,7] = 9\n\t\tv[840,7] = 95\n\t\tv[841,7] = 123\n\t\tv[842,7] = 65\n\t\tv[843,7] = 117\n\t\tv[844,7] = 249\n\t\tv[845,7] = 85\n\t\tv[846,7] = 169\n\t\tv[847,7] = 129\n\t\tv[848,7] = 241\n\t\tv[849,7] = 173\n\t\tv[850,7] = 251\n\t\tv[851,7] = 225\n\t\tv[852,7] = 147\n\t\tv[853,7] = 165\n\t\tv[854,7] = 69\n\t\tv[855,7] = 81\n\t\tv[856,7] = 239\n\t\tv[857,7] = 95\n\t\tv[858,7] = 23\n\t\tv[859,7] = 83\n\t\tv[860,7] = 227\n\t\tv[861,7] = 249\n\t\tv[862,7] = 143\n\t\tv[863,7] = 171\n\t\tv[864,7] = 193\n\t\tv[865,7] = 9\n\t\tv[866,7] = 21\n\t\tv[867,7] = 57\n\t\tv[868,7] = 73\n\t\tv[869,7] = 97\n\t\tv[870,7] = 57\n\t\tv[871,7] = 29\n\t\tv[872,7] = 239\n\t\tv[873,7] = 151\n\t\tv[874,7] = 159\n\t\tv[875,7] = 191\n\t\tv[876,7] = 47\n\t\tv[877,7] = 51\n\t\tv[878,7] = 1\n\t\tv[879,7] = 223\n\t\tv[880,7] = 251\n\t\tv[881,7] = 251\n\t\tv[882,7] = 151\n\t\tv[883,7] = 41\n\t\tv[884,7] = 119\n\t\tv[885,7] = 127\n\t\tv[886,7] = 131\n\t\tv[887,7] = 33\n\t\tv[888,7] = 209\n\t\tv[889,7] = 123\n\t\tv[890,7] = 53\n\t\tv[891,7] = 241\n\t\tv[892,7] = 25\n\t\tv[893,7] = 31\n\t\tv[894,7] = 183\n\t\tv[895,7] = 107\n\t\tv[896,7] = 25\n\t\tv[897,7] = 115\n\t\tv[898,7] = 39\n\t\tv[899,7] = 11\n\t\tv[900,7] = 213\n\t\tv[901,7] = 239\n\t\tv[902,7] = 219\n\t\tv[903,7] = 109\n\t\tv[904,7] = 185\n\t\tv[905,7] = 35\n\t\tv[906,7] = 133\n\t\tv[907,7] = 123\n\t\tv[908,7] = 185\n\t\tv[909,7] = 27\n\t\tv[910,7] = 55\n\t\tv[911,7] = 245\n\t\tv[912,7] = 61\n\t\tv[913,7] = 75\n\t\tv[914,7] = 205\n\t\tv[915,7] = 213\n\t\tv[916,7] = 169\n\t\tv[917,7] = 163\n\t\tv[918,7] = 63\n\t\tv[919,7] = 55\n\t\tv[920,7] = 49\n\t\tv[921,7] = 83\n\t\tv[922,7] = 195\n\t\tv[923,7] = 51\n\t\tv[924,7] = 31\n\t\tv[925,7] = 41\n\t\tv[926,7] = 15\n\t\tv[927,7] = 203\n\t\tv[928,7] = 41\n\t\tv[929,7] = 63\n\t\tv[930,7] = 127\n\t\tv[931,7] = 161\n\t\tv[932,7] = 5\n\t\tv[933,7] = 143\n\t\tv[934,7] = 7\n\t\tv[935,7] = 199\n\t\tv[936,7] = 251\n\t\tv[937,7] = 95\n\t\tv[938,7] = 75\n\t\tv[939,7] = 101\n\t\tv[940,7] = 15\n\t\tv[941,7] = 43\n\t\tv[942,7] = 237\n\t\tv[943,7] = 197\n\t\tv[944,7] = 117\n\t\tv[945,7] = 167\n\t\tv[946,7] = 155\n\t\tv[947,7] = 21\n\t\tv[948,7] = 83\n\t\tv[949,7] = 205\n\t\tv[950,7] = 255\n\t\tv[951,7] = 49\n\t\tv[952,7] = 101\n\t\tv[953,7] = 213\n\t\tv[954,7] = 237\n\t\tv[955,7] = 135\n\t\tv[956,7] = 135\n\t\tv[957,7] = 21\n\t\tv[958,7] = 73\n\t\tv[959,7] = 93\n\t\tv[960,7] = 115\n\t\tv[961,7] = 7\n\t\tv[962,7] = 85\n\t\tv[963,7] = 223\n\t\tv[964,7] = 237\n\t\tv[965,7] = 79\n\t\tv[966,7] = 89\n\t\tv[967,7] = 5\n\t\tv[968,7] = 57\n\t\tv[969,7] = 239\n\t\tv[970,7] = 67\n\t\tv[971,7] = 65\n\t\tv[972,7] = 201\n\t\tv[973,7] = 155\n\t\tv[974,7] = 71\n\t\tv[975,7] = 85\n\t\tv[976,7] = 195\n\t\tv[977,7] = 89\n\t\tv[978,7] = 181\n\t\tv[979,7] = 119\n\t\tv[980,7] = 135\n\t\tv[981,7] = 147\n\t\tv[982,7] = 237\n\t\tv[983,7] = 173\n\t\tv[984,7] = 41\n\t\tv[985,7] = 155\n\t\tv[986,7] = 67\n\t\tv[987,7] = 113\n\t\tv[988,7] = 111\n\t\tv[989,7] = 21\n\t\tv[990,7] = 183\n\t\tv[991,7] = 23\n\t\tv[992,7] = 103\n\t\tv[993,7] = 207\n\t\tv[994,7] = 253\n\t\tv[995,7] = 69\n\t\tv[996,7] = 219\n\t\tv[997,7] = 205\n\t\tv[998,7] = 195\n\t\tv[999,7] = 43\n\t\tv[1000,7] = 197\n\t\tv[1001,7] = 229\n\t\tv[1002,7] = 139\n\t\tv[1003,7] = 177\n\t\tv[1004,7] = 129\n\t\tv[1005,7] = 69\n\t\tv[1006,7] = 97\n\t\tv[1007,7] = 201\n\t\tv[1008,7] = 163\n\t\tv[1009,7] = 189\n\t\tv[1010,7] = 11\n\t\tv[1011,7] = 99\n\t\tv[1012,7] = 91\n\t\tv[1013,7] = 253\n\t\tv[1014,7] = 239\n\t\tv[1015,7] = 91\n\t\tv[1016,7] = 145\n\t\tv[1017,7] = 19\n\t\tv[1018,7] = 179\n\t\tv[1019,7] = 231\n\t\tv[1020,7] = 121\n\t\tv[1021,7] = 7\n\t\tv[1022,7] = 225\n\t\tv[1023,7] = 237\n\t\tv[1024,7] = 125\n\t\tv[1025,7] = 191\n\t\tv[1026,7] = 119\n\t\tv[1027,7] = 59\n\t\tv[1028,7] = 175\n\t\tv[1029,7] = 237\n\t\tv[1030,7] = 131\n\t\tv[1031,7] = 79\n\t\tv[1032,7] = 43\n\t\tv[1033,7] = 45\n\t\tv[1034,7] = 205\n\t\tv[1035,7] = 199\n\t\tv[1036,7] = 251\n\t\tv[1037,7] = 153\n\t\tv[1038,7] = 207\n\t\tv[1039,7] = 37\n\t\tv[1040,7] = 179\n\t\tv[1041,7] = 113\n\t\tv[1042,7] = 255\n\t\tv[1043,7] = 107\n\t\tv[1044,7] = 217\n\t\tv[1045,7] = 61\n\t\tv[1046,7] = 7\n\t\tv[1047,7] = 181\n\t\tv[1048,7] = 247\n\t\tv[1049,7] = 31\n\t\tv[1050,7] = 13\n\t\tv[1051,7] = 113\n\t\tv[1052,7] = 145\n\t\tv[1053,7] = 107\n\t\tv[1054,7] = 233\n\t\tv[1055,7] = 233\n\t\tv[1056,7] = 43\n\t\tv[1057,7] = 79\n\t\tv[1058,7] = 23\n\t\tv[1059,7] = 169\n\t\tv[1060,7] = 137\n\t\tv[1061,7] = 129\n\t\tv[1062,7] = 183\n\t\tv[1063,7] = 53\n\t\tv[1064,7] = 91\n\t\tv[1065,7] = 55\n\t\tv[1066,7] = 103\n\t\tv[1067,7] = 223\n\t\tv[1068,7] = 87\n\t\tv[1069,7] = 177\n\t\tv[1070,7] = 157\n\t\tv[1071,7] = 79\n\t\tv[1072,7] = 213\n\t\tv[1073,7] = 139\n\t\tv[1074,7] = 183\n\t\tv[1075,7] = 231\n\t\tv[1076,7] = 205\n\t\tv[1077,7] = 143\n\t\tv[1078,7] = 129\n\t\tv[1079,7] = 243\n\t\tv[1080,7] = 205\n\t\tv[1081,7] = 93\n\t\tv[1082,7] = 59\n\t\tv[1083,7] = 15\n\t\tv[1084,7] = 89\n\t\tv[1085,7] = 9\n\t\tv[1086,7] = 11\n\t\tv[1087,7] = 47\n\t\tv[1088,7] = 133\n\t\tv[1089,7] = 227\n\t\tv[1090,7] = 75\n\t\tv[1091,7] = 9\n\t\tv[1092,7] = 91\n\t\tv[1093,7] = 19\n\t\tv[1094,7] = 171\n\t\tv[1095,7] = 163\n\t\tv[1096,7] = 79\n\t\tv[1097,7] = 7\n\t\tv[1098,7] = 103\n\t\tv[1099,7] = 5\n\t\tv[1100,7] = 119\n\t\tv[1101,7] = 155\n\t\tv[1102,7] = 75\n\t\tv[1103,7] = 11\n\t\tv[1104,7] = 71\n\t\tv[1105,7] = 95\n\t\tv[1106,7] = 17\n\t\tv[1107,7] = 13\n\t\tv[1108,7] = 243\n\t\tv[1109,7] = 207\n\t\tv[1110,7] = 187\n\n\t\tv[53,8] = 235\n\t\tv[54,8] = 307\n\t\tv[55,8] = 495\n\t\tv[56,8] = 417\n\t\tv[57,8] = 57\n\t\tv[58,8] = 151\n\t\tv[59,8] = 19\n\t\tv[60,8] = 119\n\t\tv[61,8] = 375\n\t\tv[62,8] = 451\n\t\tv[63,8] = 55\n\t\tv[64,8] = 449\n\t\tv[65,8] = 501\n\t\tv[66,8] = 53\n\t\tv[67,8] = 185\n\t\tv[68,8] = 317\n\t\tv[69,8] = 17\n\t\tv[70,8] = 21\n\t\tv[71,8] = 487\n\t\tv[72,8] = 13\n\t\tv[73,8] = 347\n\t\tv[74,8] = 393\n\t\tv[75,8] = 15\n\t\tv[76,8] = 391\n\t\tv[77,8] = 307\n\t\tv[78,8] = 189\n\t\tv[79,8] = 381\n\t\tv[80,8] = 71\n\t\tv[81,8] = 163\n\t\tv[82,8] = 99\n\t\tv[83,8] = 467\n\t\tv[84,8] = 167\n\t\tv[85,8] = 433\n\t\tv[86,8] = 337\n\t\tv[87,8] = 257\n\t\tv[88,8] = 179\n\t\tv[89,8] = 47\n\t\tv[90,8] = 385\n\t\tv[91,8] = 23\n\t\tv[92,8] = 117\n\t\tv[93,8] = 369\n\t\tv[94,8] = 425\n\t\tv[95,8] = 207\n\t\tv[96,8] = 433\n\t\tv[97,8] = 301\n\t\tv[98,8] = 147\n\t\tv[99,8] = 333\n\t\tv[100,8] = 85\n\t\tv[101,8] = 221\n\t\tv[102,8] = 423\n\t\tv[103,8] = 49\n\t\tv[104,8] = 3\n\t\tv[105,8] = 43\n\t\tv[106,8] = 229\n\t\tv[107,8] = 227\n\t\tv[108,8] = 201\n\t\tv[109,8] = 383\n\t\tv[110,8] = 281\n\t\tv[111,8] = 229\n\t\tv[112,8] = 207\n\t\tv[113,8] = 21\n\t\tv[114,8] = 343\n\t\tv[115,8] = 251\n\t\tv[116,8] = 397\n\t\tv[117,8] = 173\n\t\tv[118,8] = 507\n\t\tv[119,8] = 421\n\t\tv[120,8] = 443\n\t\tv[121,8] = 399\n\t\tv[122,8] = 53\n\t\tv[123,8] = 345\n\t\tv[124,8] = 77\n\t\tv[125,8] = 385\n\t\tv[126,8] = 317\n\t\tv[127,8] = 155\n\t\tv[128,8] = 187\n\t\tv[129,8] = 269\n\t\tv[130,8] = 501\n\t\tv[131,8] = 19\n\t\tv[132,8] = 169\n\t\tv[133,8] = 235\n\t\tv[134,8] = 415\n\t\tv[135,8] = 61\n\t\tv[136,8] = 247\n\t\tv[137,8] = 183\n\t\tv[138,8] = 5\n\t\tv[139,8] = 257\n\t\tv[140,8] = 401\n\t\tv[141,8] = 451\n\t\tv[142,8] = 95\n\t\tv[143,8] = 455\n\t\tv[144,8] = 49\n\t\tv[145,8] = 489\n\t\tv[146,8] = 75\n\t\tv[147,8] = 459\n\t\tv[148,8] = 377\n\t\tv[149,8] = 87\n\t\tv[150,8] = 463\n\t\tv[151,8] = 155\n\t\tv[152,8] = 233\n\t\tv[153,8] = 115\n\t\tv[154,8] = 429\n\t\tv[155,8] = 211\n\t\tv[156,8] = 419\n\t\tv[157,8] = 143\n\t\tv[158,8] = 487\n\t\tv[159,8] = 195\n\t\tv[160,8] = 209\n\t\tv[161,8] = 461\n\t\tv[162,8] = 193\n\t\tv[163,8] = 157\n\t\tv[164,8] = 193\n\t\tv[165,8] = 363\n\t\tv[166,8] = 181\n\t\tv[167,8] = 271\n\t\tv[168,8] = 445\n\t\tv[169,8] = 381\n\t\tv[170,8] = 231\n\t\tv[171,8] = 135\n\t\tv[172,8] = 327\n\t\tv[173,8] = 403\n\t\tv[174,8] = 171\n\t\tv[175,8] = 197\n\t\tv[176,8] = 181\n\t\tv[177,8] = 343\n\t\tv[178,8] = 113\n\t\tv[179,8] = 313\n\t\tv[180,8] = 393\n\t\tv[181,8] = 311\n\t\tv[182,8] = 415\n\t\tv[183,8] = 267\n\t\tv[184,8] = 247\n\t\tv[185,8] = 425\n\t\tv[186,8] = 233\n\t\tv[187,8] = 289\n\t\tv[188,8] = 55\n\t\tv[189,8] = 39\n\t\tv[190,8] = 247\n\t\tv[191,8] = 327\n\t\tv[192,8] = 141\n\t\tv[193,8] = 5\n\t\tv[194,8] = 189\n\t\tv[195,8] = 183\n\t\tv[196,8] = 27\n\t\tv[197,8] = 337\n\t\tv[198,8] = 341\n\t\tv[199,8] = 327\n\t\tv[200,8] = 87\n\t\tv[201,8] = 429\n\t\tv[202,8] = 357\n\t\tv[203,8] = 265\n\t\tv[204,8] = 251\n\t\tv[205,8] = 437\n\t\tv[206,8] = 201\n\t\tv[207,8] = 29\n\t\tv[208,8] = 339\n\t\tv[209,8] = 257\n\t\tv[210,8] = 377\n\t\tv[211,8] = 17\n\t\tv[212,8] = 53\n\t\tv[213,8] = 327\n\t\tv[214,8] = 47\n\t\tv[215,8] = 375\n\t\tv[216,8] = 393\n\t\tv[217,8] = 369\n\t\tv[218,8] = 403\n\t\tv[219,8] = 125\n\t\tv[220,8] = 429\n\t\tv[221,8] = 257\n\t\tv[222,8] = 157\n\t\tv[223,8] = 217\n\t\tv[224,8] = 85\n\t\tv[225,8] = 267\n\t\tv[226,8] = 117\n\t\tv[227,8] = 337\n\t\tv[228,8] = 447\n\t\tv[229,8] = 219\n\t\tv[230,8] = 501\n\t\tv[231,8] = 41\n\t\tv[232,8] = 41\n\t\tv[233,8] = 193\n\t\tv[234,8] = 509\n\t\tv[235,8] = 131\n\t\tv[236,8] = 207\n\t\tv[237,8] = 505\n\t\tv[238,8] = 421\n\t\tv[239,8] = 149\n\t\tv[240,8] = 111\n\t\tv[241,8] = 177\n\t\tv[242,8] = 167\n\t\tv[243,8] = 223\n\t\tv[244,8] = 291\n\t\tv[245,8] = 91\n\t\tv[246,8] = 29\n\t\tv[247,8] = 305\n\t\tv[248,8] = 151\n\t\tv[249,8] = 177\n\t\tv[250,8] = 337\n\t\tv[251,8] = 183\n\t\tv[252,8] = 361\n\t\tv[253,8] = 435\n\t\tv[254,8] = 307\n\t\tv[255,8] = 507\n\t\tv[256,8] = 77\n\t\tv[257,8] = 181\n\t\tv[258,8] = 507\n\t\tv[259,8] = 315\n\t\tv[260,8] = 145\n\t\tv[261,8] = 423\n\t\tv[262,8] = 71\n\t\tv[263,8] = 103\n\t\tv[264,8] = 493\n\t\tv[265,8] = 271\n\t\tv[266,8] = 469\n\t\tv[267,8] = 339\n\t\tv[268,8] = 237\n\t\tv[269,8] = 437\n\t\tv[270,8] = 483\n\t\tv[271,8] = 31\n\t\tv[272,8] = 219\n\t\tv[273,8] = 61\n\t\tv[274,8] = 131\n\t\tv[275,8] = 391\n\t\tv[276,8] = 233\n\t\tv[277,8] = 219\n\t\tv[278,8] = 69\n\t\tv[279,8] = 57\n\t\tv[280,8] = 459\n\t\tv[281,8] = 225\n\t\tv[282,8] = 421\n\t\tv[283,8] = 7\n\t\tv[284,8] = 461\n\t\tv[285,8] = 111\n\t\tv[286,8] = 451\n\t\tv[287,8] = 277\n\t\tv[288,8] = 185\n\t\tv[289,8] = 193\n\t\tv[290,8] = 125\n\t\tv[291,8] = 251\n\t\tv[292,8] = 199\n\t\tv[293,8] = 73\n\t\tv[294,8] = 71\n\t\tv[295,8] = 7\n\t\tv[296,8] = 409\n\t\tv[297,8] = 417\n\t\tv[298,8] = 149\n\t\tv[299,8] = 193\n\t\tv[300,8] = 53\n\t\tv[301,8] = 437\n\t\tv[302,8] = 29\n\t\tv[303,8] = 467\n\t\tv[304,8] = 229\n\t\tv[305,8] = 31\n\t\tv[306,8] = 35\n\t\tv[307,8] = 75\n\t\tv[308,8] = 105\n\t\tv[309,8] = 503\n\t\tv[310,8] = 75\n\t\tv[311,8] = 317\n\t\tv[312,8] = 401\n\t\tv[313,8] = 367\n\t\tv[314,8] = 131\n\t\tv[315,8] = 365\n\t\tv[316,8] = 441\n\t\tv[317,8] = 433\n\t\tv[318,8] = 93\n\t\tv[319,8] = 377\n\t\tv[320,8] = 405\n\t\tv[321,8] = 465\n\t\tv[322,8] = 259\n\t\tv[323,8] = 283\n\t\tv[324,8] = 443\n\t\tv[325,8] = 143\n\t\tv[326,8] = 445\n\t\tv[327,8] = 3\n\t\tv[328,8] = 461\n\t\tv[329,8] = 329\n\t\tv[330,8] = 309\n\t\tv[331,8] = 77\n\t\tv[332,8] = 323\n\t\tv[333,8] = 155\n\t\tv[334,8] = 347\n\t\tv[335,8] = 45\n\t\tv[336,8] = 381\n\t\tv[337,8] = 315\n\t\tv[338,8] = 463\n\t\tv[339,8] = 207\n\t\tv[340,8] = 321\n\t\tv[341,8] = 157\n\t\tv[342,8] = 109\n\t\tv[343,8] = 479\n\t\tv[344,8] = 313\n\t\tv[345,8] = 345\n\t\tv[346,8] = 167\n\t\tv[347,8] = 439\n\t\tv[348,8] = 307\n\t\tv[349,8] = 235\n\t\tv[350,8] = 473\n\t\tv[351,8] = 79\n\t\tv[352,8] = 101\n\t\tv[353,8] = 245\n\t\tv[354,8] = 19\n\t\tv[355,8] = 381\n\t\tv[356,8] = 251\n\t\tv[357,8] = 35\n\t\tv[358,8] = 25\n\t\tv[359,8] = 107\n\t\tv[360,8] = 187\n\t\tv[361,8] = 115\n\t\tv[362,8] = 113\n\t\tv[363,8] = 321\n\t\tv[364,8] = 115\n\t\tv[365,8] = 445\n\t\tv[366,8] = 61\n\t\tv[367,8] = 77\n\t\tv[368,8] = 293\n\t\tv[369,8] = 405\n\t\tv[370,8] = 13\n\t\tv[371,8] = 53\n\t\tv[372,8] = 17\n\t\tv[373,8] = 171\n\t\tv[374,8] = 299\n\t\tv[375,8] = 41\n\t\tv[376,8] = 79\n\t\tv[377,8] = 3\n\t\tv[378,8] = 485\n\t\tv[379,8] = 331\n\t\tv[380,8] = 13\n\t\tv[381,8] = 257\n\t\tv[382,8] = 59\n\t\tv[383,8] = 201\n\t\tv[384,8] = 497\n\t\tv[385,8] = 81\n\t\tv[386,8] = 451\n\t\tv[387,8] = 199\n\t\tv[388,8] = 171\n\t\tv[389,8] = 81\n\t\tv[390,8] = 253\n\t\tv[391,8] = 365\n\t\tv[392,8] = 75\n\t\tv[393,8] = 451\n\t\tv[394,8] = 149\n\t\tv[395,8] = 483\n\t\tv[396,8] = 81\n\t\tv[397,8] = 453\n\t\tv[398,8] = 469\n\t\tv[399,8] = 485\n\t\tv[400,8] = 305\n\t\tv[401,8] = 163\n\t\tv[402,8] = 401\n\t\tv[403,8] = 15\n\t\tv[404,8] = 91\n\t\tv[405,8] = 3\n\t\tv[406,8] = 129\n\t\tv[407,8] = 35\n\t\tv[408,8] = 239\n\t\tv[409,8] = 355\n\t\tv[410,8] = 211\n\t\tv[411,8] = 387\n\t\tv[412,8] = 101\n\t\tv[413,8] = 299\n\t\tv[414,8] = 67\n\t\tv[415,8] = 375\n\t\tv[416,8] = 405\n\t\tv[417,8] = 357\n\t\tv[418,8] = 267\n\t\tv[419,8] = 363\n\t\tv[420,8] = 79\n\t\tv[421,8] = 83\n\t\tv[422,8] = 437\n\t\tv[423,8] = 457\n\t\tv[424,8] = 39\n\t\tv[425,8] = 97\n\t\tv[426,8] = 473\n\t\tv[427,8] = 289\n\t\tv[428,8] = 179\n\t\tv[429,8] = 57\n\t\tv[430,8] = 23\n\t\tv[431,8] = 49\n\t\tv[432,8] = 79\n\t\tv[433,8] = 71\n\t\tv[434,8] = 341\n\t\tv[435,8] = 287\n\t\tv[436,8] = 95\n\t\tv[437,8] = 229\n\t\tv[438,8] = 271\n\t\tv[439,8] = 475\n\t\tv[440,8] = 49\n\t\tv[441,8] = 241\n\t\tv[442,8] = 261\n\t\tv[443,8] = 495\n\t\tv[444,8] = 353\n\t\tv[445,8] = 381\n\t\tv[446,8] = 13\n\t\tv[447,8] = 291\n\t\tv[448,8] = 37\n\t\tv[449,8] = 251\n\t\tv[450,8] = 105\n\t\tv[451,8] = 399\n\t\tv[452,8] = 81\n\t\tv[453,8] = 89\n\t\tv[454,8] = 265\n\t\tv[455,8] = 507\n\t\tv[456,8] = 205\n\t\tv[457,8] = 145\n\t\tv[458,8] = 331\n\t\tv[459,8] = 129\n\t\tv[460,8] = 119\n\t\tv[461,8] = 503\n\t\tv[462,8] = 249\n\t\tv[463,8] = 1\n\t\tv[464,8] = 289\n\t\tv[465,8] = 463\n\t\tv[466,8] = 163\n\t\tv[467,8] = 443\n\t\tv[468,8] = 63\n\t\tv[469,8] = 123\n\t\tv[470,8] = 361\n\t\tv[471,8] = 261\n\t\tv[472,8] = 49\n\t\tv[473,8] = 429\n\t\tv[474,8] = 137\n\t\tv[475,8] = 355\n\t\tv[476,8] = 175\n\t\tv[477,8] = 507\n\t\tv[478,8] = 59\n\t\tv[479,8] = 277\n\t\tv[480,8] = 391\n\t\tv[481,8] = 25\n\t\tv[482,8] = 185\n\t\tv[483,8] = 381\n\t\tv[484,8] = 197\n\t\tv[485,8] = 39\n\t\tv[486,8] = 5\n\t\tv[487,8] = 429\n\t\tv[488,8] = 119\n\t\tv[489,8] = 247\n\t\tv[490,8] = 177\n\t\tv[491,8] = 329\n\t\tv[492,8] = 465\n\t\tv[493,8] = 421\n\t\tv[494,8] = 271\n\t\tv[495,8] = 467\n\t\tv[496,8] = 151\n\t\tv[497,8] = 45\n\t\tv[498,8] = 429\n\t\tv[499,8] = 137\n\t\tv[500,8] = 471\n\t\tv[501,8] = 11\n\t\tv[502,8] = 17\n\t\tv[503,8] = 409\n\t\tv[504,8] = 347\n\t\tv[505,8] = 199\n\t\tv[506,8] = 463\n\t\tv[507,8] = 177\n\t\tv[508,8] = 11\n\t\tv[509,8] = 51\n\t\tv[510,8] = 361\n\t\tv[511,8] = 95\n\t\tv[512,8] = 497\n\t\tv[513,8] = 163\n\t\tv[514,8] = 351\n\t\tv[515,8] = 127\n\t\tv[516,8] = 395\n\t\tv[517,8] = 511\n\t\tv[518,8] = 327\n\t\tv[519,8] = 353\n\t\tv[520,8] = 49\n\t\tv[521,8] = 105\n\t\tv[522,8] = 151\n\t\tv[523,8] = 321\n\t\tv[524,8] = 331\n\t\tv[525,8] = 329\n\t\tv[526,8] = 509\n\t\tv[527,8] = 107\n\t\tv[528,8] = 109\n\t\tv[529,8] = 303\n\t\tv[530,8] = 467\n\t\tv[531,8] = 287\n\t\tv[532,8] = 161\n\t\tv[533,8] = 45\n\t\tv[534,8] = 385\n\t\tv[535,8] = 289\n\t\tv[536,8] = 363\n\t\tv[537,8] = 331\n\t\tv[538,8] = 265\n\t\tv[539,8] = 407\n\t\tv[540,8] = 37\n\t\tv[541,8] = 433\n\t\tv[542,8] = 315\n\t\tv[543,8] = 343\n\t\tv[544,8] = 63\n\t\tv[545,8] = 51\n\t\tv[546,8] = 185\n\t\tv[547,8] = 71\n\t\tv[548,8] = 27\n\t\tv[549,8] = 267\n\t\tv[550,8] = 503\n\t\tv[551,8] = 239\n\t\tv[552,8] = 293\n\t\tv[553,8] = 245\n\t\tv[554,8] = 281\n\t\tv[555,8] = 297\n\t\tv[556,8] = 75\n\t\tv[557,8] = 461\n\t\tv[558,8] = 371\n\t\tv[559,8] = 129\n\t\tv[560,8] = 189\n\t\tv[561,8] = 189\n\t\tv[562,8] = 339\n\t\tv[563,8] = 287\n\t\tv[564,8] = 111\n\t\tv[565,8] = 111\n\t\tv[566,8] = 379\n\t\tv[567,8] = 93\n\t\tv[568,8] = 27\n\t\tv[569,8] = 185\n\t\tv[570,8] = 347\n\t\tv[571,8] = 337\n\t\tv[572,8] = 247\n\t\tv[573,8] = 507\n\t\tv[574,8] = 161\n\t\tv[575,8] = 231\n\t\tv[576,8] = 43\n\t\tv[577,8] = 499\n\t\tv[578,8] = 73\n\t\tv[579,8] = 327\n\t\tv[580,8] = 263\n\t\tv[581,8] = 331\n\t\tv[582,8] = 249\n\t\tv[583,8] = 493\n\t\tv[584,8] = 37\n\t\tv[585,8] = 25\n\t\tv[586,8] = 115\n\t\tv[587,8] = 3\n\t\tv[588,8] = 167\n\t\tv[589,8] = 197\n\t\tv[590,8] = 127\n\t\tv[591,8] = 357\n\t\tv[592,8] = 497\n\t\tv[593,8] = 103\n\t\tv[594,8] = 125\n\t\tv[595,8] = 191\n\t\tv[596,8] = 165\n\t\tv[597,8] = 55\n\t\tv[598,8] = 101\n\t\tv[599,8] = 95\n\t\tv[600,8] = 79\n\t\tv[601,8] = 351\n\t\tv[602,8] = 341\n\t\tv[603,8] = 43\n\t\tv[604,8] = 125\n\t\tv[605,8] = 135\n\t\tv[606,8] = 173\n\t\tv[607,8] = 289\n\t\tv[608,8] = 373\n\t\tv[609,8] = 133\n\t\tv[610,8] = 421\n\t\tv[611,8] = 241\n\t\tv[612,8] = 281\n\t\tv[613,8] = 213\n\t\tv[614,8] = 177\n\t\tv[615,8] = 363\n\t\tv[616,8] = 151\n\t\tv[617,8] = 227\n\t\tv[618,8] = 145\n\t\tv[619,8] = 363\n\t\tv[620,8] = 239\n\t\tv[621,8] = 431\n\t\tv[622,8] = 81\n\t\tv[623,8] = 397\n\t\tv[624,8] = 241\n\t\tv[625,8] = 67\n\t\tv[626,8] = 291\n\t\tv[627,8] = 255\n\t\tv[628,8] = 405\n\t\tv[629,8] = 421\n\t\tv[630,8] = 399\n\t\tv[631,8] = 75\n\t\tv[632,8] = 399\n\t\tv[633,8] = 105\n\t\tv[634,8] = 329\n\t\tv[635,8] = 41\n\t\tv[636,8] = 425\n\t\tv[637,8] = 7\n\t\tv[638,8] = 283\n\t\tv[639,8] = 375\n\t\tv[640,8] = 475\n\t\tv[641,8] = 427\n\t\tv[642,8] = 277\n\t\tv[643,8] = 209\n\t\tv[644,8] = 411\n\t\tv[645,8] = 3\n\t\tv[646,8] = 137\n\t\tv[647,8] = 195\n\t\tv[648,8] = 289\n\t\tv[649,8] = 509\n\t\tv[650,8] = 121\n\t\tv[651,8] = 55\n\t\tv[652,8] = 147\n\t\tv[653,8] = 275\n\t\tv[654,8] = 251\n\t\tv[655,8] = 19\n\t\tv[656,8] = 129\n\t\tv[657,8] = 285\n\t\tv[658,8] = 415\n\t\tv[659,8] = 487\n\t\tv[660,8] = 491\n\t\tv[661,8] = 193\n\t\tv[662,8] = 219\n\t\tv[663,8] = 403\n\t\tv[664,8] = 23\n\t\tv[665,8] = 97\n\t\tv[666,8] = 65\n\t\tv[667,8] = 285\n\t\tv[668,8] = 75\n\t\tv[669,8] = 21\n\t\tv[670,8] = 373\n\t\tv[671,8] = 261\n\t\tv[672,8] = 339\n\t\tv[673,8] = 239\n\t\tv[674,8] = 495\n\t\tv[675,8] = 415\n\t\tv[676,8] = 333\n\t\tv[677,8] = 107\n\t\tv[678,8] = 435\n\t\tv[679,8] = 297\n\t\tv[680,8] = 213\n\t\tv[681,8] = 149\n\t\tv[682,8] = 463\n\t\tv[683,8] = 199\n\t\tv[684,8] = 323\n\t\tv[685,8] = 45\n\t\tv[686,8] = 19\n\t\tv[687,8] = 301\n\t\tv[688,8] = 121\n\t\tv[689,8] = 499\n\t\tv[690,8] = 187\n\t\tv[691,8] = 229\n\t\tv[692,8] = 63\n\t\tv[693,8] = 425\n\t\tv[694,8] = 99\n\t\tv[695,8] = 281\n\t\tv[696,8] = 35\n\t\tv[697,8] = 125\n\t\tv[698,8] = 349\n\t\tv[699,8] = 87\n\t\tv[700,8] = 101\n\t\tv[701,8] = 59\n\t\tv[702,8] = 195\n\t\tv[703,8] = 511\n\t\tv[704,8] = 355\n\t\tv[705,8] = 73\n\t\tv[706,8] = 263\n\t\tv[707,8] = 243\n\t\tv[708,8] = 101\n\t\tv[709,8] = 165\n\t\tv[710,8] = 141\n\t\tv[711,8] = 11\n\t\tv[712,8] = 389\n\t\tv[713,8] = 219\n\t\tv[714,8] = 187\n\t\tv[715,8] = 449\n\t\tv[716,8] = 447\n\t\tv[717,8] = 393\n\t\tv[718,8] = 477\n\t\tv[719,8] = 305\n\t\tv[720,8] = 221\n\t\tv[721,8] = 51\n\t\tv[722,8] = 355\n\t\tv[723,8] = 209\n\t\tv[724,8] = 499\n\t\tv[725,8] = 479\n\t\tv[726,8] = 265\n\t\tv[727,8] = 377\n\t\tv[728,8] = 145\n\t\tv[729,8] = 411\n\t\tv[730,8] = 173\n\t\tv[731,8] = 11\n\t\tv[732,8] = 433\n\t\tv[733,8] = 483\n\t\tv[734,8] = 135\n\t\tv[735,8] = 385\n\t\tv[736,8] = 341\n\t\tv[737,8] = 89\n\t\tv[738,8] = 209\n\t\tv[739,8] = 391\n\t\tv[740,8] = 33\n\t\tv[741,8] = 395\n\t\tv[742,8] = 319\n\t\tv[743,8] = 451\n\t\tv[744,8] = 119\n\t\tv[745,8] = 341\n\t\tv[746,8] = 227\n\t\tv[747,8] = 375\n\t\tv[748,8] = 61\n\t\tv[749,8] = 331\n\t\tv[750,8] = 493\n\t\tv[751,8] = 411\n\t\tv[752,8] = 293\n\t\tv[753,8] = 47\n\t\tv[754,8] = 203\n\t\tv[755,8] = 375\n\t\tv[756,8] = 167\n\t\tv[757,8] = 395\n\t\tv[758,8] = 155\n\t\tv[759,8] = 5\n\t\tv[760,8] = 237\n\t\tv[761,8] = 361\n\t\tv[762,8] = 489\n\t\tv[763,8] = 127\n\t\tv[764,8] = 21\n\t\tv[765,8] = 345\n\t\tv[766,8] = 101\n\t\tv[767,8] = 371\n\t\tv[768,8] = 233\n\t\tv[769,8] = 431\n\t\tv[770,8] = 109\n\t\tv[771,8] = 119\n\t\tv[772,8] = 277\n\t\tv[773,8] = 125\n\t\tv[774,8] = 263\n\t\tv[775,8] = 73\n\t\tv[776,8] = 135\n\t\tv[777,8] = 123\n\t\tv[778,8] = 83\n\t\tv[779,8] = 123\n\t\tv[780,8] = 405\n\t\tv[781,8] = 69\n\t\tv[782,8] = 75\n\t\tv[783,8] = 287\n\t\tv[784,8] = 401\n\t\tv[785,8] = 23\n\t\tv[786,8] = 283\n\t\tv[787,8] = 393\n\t\tv[788,8] = 41\n\t\tv[789,8] = 379\n\t\tv[790,8] = 431\n\t\tv[791,8] = 11\n\t\tv[792,8] = 475\n\t\tv[793,8] = 505\n\t\tv[794,8] = 19\n\t\tv[795,8] = 365\n\t\tv[796,8] = 265\n\t\tv[797,8] = 271\n\t\tv[798,8] = 499\n\t\tv[799,8] = 489\n\t\tv[800,8] = 443\n\t\tv[801,8] = 165\n\t\tv[802,8] = 91\n\t\tv[803,8] = 83\n\t\tv[804,8] = 291\n\t\tv[805,8] = 319\n\t\tv[806,8] = 199\n\t\tv[807,8] = 107\n\t\tv[808,8] = 245\n\t\tv[809,8] = 389\n\t\tv[810,8] = 143\n\t\tv[811,8] = 137\n\t\tv[812,8] = 89\n\t\tv[813,8] = 125\n\t\tv[814,8] = 281\n\t\tv[815,8] = 381\n\t\tv[816,8] = 215\n\t\tv[817,8] = 131\n\t\tv[818,8] = 299\n\t\tv[819,8] = 249\n\t\tv[820,8] = 375\n\t\tv[821,8] = 455\n\t\tv[822,8] = 43\n\t\tv[823,8] = 73\n\t\tv[824,8] = 281\n\t\tv[825,8] = 217\n\t\tv[826,8] = 297\n\t\tv[827,8] = 229\n\t\tv[828,8] = 431\n\t\tv[829,8] = 357\n\t\tv[830,8] = 81\n\t\tv[831,8] = 357\n\t\tv[832,8] = 171\n\t\tv[833,8] = 451\n\t\tv[834,8] = 481\n\t\tv[835,8] = 13\n\t\tv[836,8] = 387\n\t\tv[837,8] = 491\n\t\tv[838,8] = 489\n\t\tv[839,8] = 439\n\t\tv[840,8] = 385\n\t\tv[841,8] = 487\n\t\tv[842,8] = 177\n\t\tv[843,8] = 393\n\t\tv[844,8] = 33\n\t\tv[845,8] = 71\n\t\tv[846,8] = 375\n\t\tv[847,8] = 443\n\t\tv[848,8] = 129\n\t\tv[849,8] = 407\n\t\tv[850,8] = 395\n\t\tv[851,8] = 127\n\t\tv[852,8] = 65\n\t\tv[853,8] = 333\n\t\tv[854,8] = 309\n\t\tv[855,8] = 119\n\t\tv[856,8] = 197\n\t\tv[857,8] = 435\n\t\tv[858,8] = 497\n\t\tv[859,8] = 373\n\t\tv[860,8] = 71\n\t\tv[861,8] = 379\n\t\tv[862,8] = 509\n\t\tv[863,8] = 387\n\t\tv[864,8] = 159\n\t\tv[865,8] = 265\n\t\tv[866,8] = 477\n\t\tv[867,8] = 463\n\t\tv[868,8] = 449\n\t\tv[869,8] = 47\n\t\tv[870,8] = 353\n\t\tv[871,8] = 249\n\t\tv[872,8] = 335\n\t\tv[873,8] = 505\n\t\tv[874,8] = 89\n\t\tv[875,8] = 141\n\t\tv[876,8] = 55\n\t\tv[877,8] = 235\n\t\tv[878,8] = 187\n\t\tv[879,8] = 87\n\t\tv[880,8] = 363\n\t\tv[881,8] = 93\n\t\tv[882,8] = 363\n\t\tv[883,8] = 101\n\t\tv[884,8] = 67\n\t\tv[885,8] = 215\n\t\tv[886,8] = 321\n\t\tv[887,8] = 331\n\t\tv[888,8] = 305\n\t\tv[889,8] = 261\n\t\tv[890,8] = 411\n\t\tv[891,8] = 491\n\t\tv[892,8] = 479\n\t\tv[893,8] = 65\n\t\tv[894,8] = 307\n\t\tv[895,8] = 469\n\t\tv[896,8] = 415\n\t\tv[897,8] = 131\n\t\tv[898,8] = 315\n\t\tv[899,8] = 487\n\t\tv[900,8] = 83\n\t\tv[901,8] = 455\n\t\tv[902,8] = 19\n\t\tv[903,8] = 113\n\t\tv[904,8] = 163\n\t\tv[905,8] = 503\n\t\tv[906,8] = 99\n\t\tv[907,8] = 499\n\t\tv[908,8] = 251\n\t\tv[909,8] = 239\n\t\tv[910,8] = 81\n\t\tv[911,8] = 167\n\t\tv[912,8] = 391\n\t\tv[913,8] = 255\n\t\tv[914,8] = 317\n\t\tv[915,8] = 363\n\t\tv[916,8] = 359\n\t\tv[917,8] = 395\n\t\tv[918,8] = 419\n\t\tv[919,8] = 307\n\t\tv[920,8] = 251\n\t\tv[921,8] = 267\n\t\tv[922,8] = 171\n\t\tv[923,8] = 461\n\t\tv[924,8] = 183\n\t\tv[925,8] = 465\n\t\tv[926,8] = 165\n\t\tv[927,8] = 163\n\t\tv[928,8] = 293\n\t\tv[929,8] = 477\n\t\tv[930,8] = 223\n\t\tv[931,8] = 403\n\t\tv[932,8] = 389\n\t\tv[933,8] = 97\n\t\tv[934,8] = 335\n\t\tv[935,8] = 357\n\t\tv[936,8] = 297\n\t\tv[937,8] = 19\n\t\tv[938,8] = 469\n\t\tv[939,8] = 501\n\t\tv[940,8] = 249\n\t\tv[941,8] = 85\n\t\tv[942,8] = 213\n\t\tv[943,8] = 311\n\t\tv[944,8] = 265\n\t\tv[945,8] = 379\n\t\tv[946,8] = 297\n\t\tv[947,8] = 283\n\t\tv[948,8] = 393\n\t\tv[949,8] = 449\n\t\tv[950,8] = 463\n\t\tv[951,8] = 289\n\t\tv[952,8] = 159\n\t\tv[953,8] = 289\n\t\tv[954,8] = 499\n\t\tv[955,8] = 407\n\t\tv[956,8] = 129\n\t\tv[957,8] = 137\n\t\tv[958,8] = 221\n\t\tv[959,8] = 43\n\t\tv[960,8] = 89\n\t\tv[961,8] = 403\n\t\tv[962,8] = 271\n\t\tv[963,8] = 75\n\t\tv[964,8] = 83\n\t\tv[965,8] = 445\n\t\tv[966,8] = 453\n\t\tv[967,8] = 389\n\t\tv[968,8] = 149\n\t\tv[969,8] = 143\n\t\tv[970,8] = 423\n\t\tv[971,8] = 499\n\t\tv[972,8] = 317\n\t\tv[973,8] = 445\n\t\tv[974,8] = 157\n\t\tv[975,8] = 137\n\t\tv[976,8] = 453\n\t\tv[977,8] = 163\n\t\tv[978,8] = 87\n\t\tv[979,8] = 23\n\t\tv[980,8] = 391\n\t\tv[981,8] = 119\n\t\tv[982,8] = 427\n\t\tv[983,8] = 323\n\t\tv[984,8] = 173\n\t\tv[985,8] = 89\n\t\tv[986,8] = 259\n\t\tv[987,8] = 377\n\t\tv[988,8] = 511\n\t\tv[989,8] = 249\n\t\tv[990,8] = 31\n\t\tv[991,8] = 363\n\t\tv[992,8] = 229\n\t\tv[993,8] = 353\n\t\tv[994,8] = 329\n\t\tv[995,8] = 493\n\t\tv[996,8] = 427\n\t\tv[997,8] = 57\n\t\tv[998,8] = 205\n\t\tv[999,8] = 389\n\t\tv[1000,8] = 91\n\t\tv[1001,8] = 83\n\t\tv[1002,8] = 13\n\t\tv[1003,8] = 219\n\t\tv[1004,8] = 439\n\t\tv[1005,8] = 45\n\t\tv[1006,8] = 35\n\t\tv[1007,8] = 371\n\t\tv[1008,8] = 441\n\t\tv[1009,8] = 17\n\t\tv[1010,8] = 267\n\t\tv[1011,8] = 501\n\t\tv[1012,8] = 53\n\t\tv[1013,8] = 25\n\t\tv[1014,8] = 333\n\t\tv[1015,8] = 17\n\t\tv[1016,8] = 201\n\t\tv[1017,8] = 475\n\t\tv[1018,8] = 257\n\t\tv[1019,8] = 417\n\t\tv[1020,8] = 345\n\t\tv[1021,8] = 381\n\t\tv[1022,8] = 377\n\t\tv[1023,8] = 55\n\t\tv[1024,8] = 403\n\t\tv[1025,8] = 77\n\t\tv[1026,8] = 389\n\t\tv[1027,8] = 347\n\t\tv[1028,8] = 363\n\t\tv[1029,8] = 211\n\t\tv[1030,8] = 413\n\t\tv[1031,8] = 419\n\t\tv[1032,8] = 5\n\t\tv[1033,8] = 167\n\t\tv[1034,8] = 219\n\t\tv[1035,8] = 201\n\t\tv[1036,8] = 285\n\t\tv[1037,8] = 425\n\t\tv[1038,8] = 11\n\t\tv[1039,8] = 77\n\t\tv[1040,8] = 269\n\t\tv[1041,8] = 489\n\t\tv[1042,8] = 281\n\t\tv[1043,8] = 403\n\t\tv[1044,8] = 79\n\t\tv[1045,8] = 425\n\t\tv[1046,8] = 125\n\t\tv[1047,8] = 81\n\t\tv[1048,8] = 331\n\t\tv[1049,8] = 437\n\t\tv[1050,8] = 271\n\t\tv[1051,8] = 397\n\t\tv[1052,8] = 299\n\t\tv[1053,8] = 475\n\t\tv[1054,8] = 271\n\t\tv[1055,8] = 249\n\t\tv[1056,8] = 413\n\t\tv[1057,8] = 233\n\t\tv[1058,8] = 261\n\t\tv[1059,8] = 495\n\t\tv[1060,8] = 171\n\t\tv[1061,8] = 69\n\t\tv[1062,8] = 27\n\t\tv[1063,8] = 409\n\t\tv[1064,8] = 21\n\t\tv[1065,8] = 421\n\t\tv[1066,8] = 367\n\t\tv[1067,8] = 81\n\t\tv[1068,8] = 483\n\t\tv[1069,8] = 255\n\t\tv[1070,8] = 15\n\t\tv[1071,8] = 219\n\t\tv[1072,8] = 365\n\t\tv[1073,8] = 497\n\t\tv[1074,8] = 181\n\t\tv[1075,8] = 75\n\t\tv[1076,8] = 431\n\t\tv[1077,8] = 99\n\t\tv[1078,8] = 325\n\t\tv[1079,8] = 407\n\t\tv[1080,8] = 229\n\t\tv[1081,8] = 281\n\t\tv[1082,8] = 63\n\t\tv[1083,8] = 83\n\t\tv[1084,8] = 493\n\t\tv[1085,8] = 5\n\t\tv[1086,8] = 113\n\t\tv[1087,8] = 15\n\t\tv[1088,8] = 271\n\t\tv[1089,8] = 37\n\t\tv[1090,8] = 87\n\t\tv[1091,8] = 451\n\t\tv[1092,8] = 299\n\t\tv[1093,8] = 83\n\t\tv[1094,8] = 451\n\t\tv[1095,8] = 311\n\t\tv[1096,8] = 441\n\t\tv[1097,8] = 47\n\t\tv[1098,8] = 455\n\t\tv[1099,8] = 47\n\t\tv[1100,8] = 253\n\t\tv[1101,8] = 13\n\t\tv[1102,8] = 109\n\t\tv[1103,8] = 369\n\t\tv[1104,8] = 347\n\t\tv[1105,8] = 11\n\t\tv[1106,8] = 409\n\t\tv[1107,8] = 275\n\t\tv[1108,8] = 63\n\t\tv[1109,8] = 441\n\t\tv[1110,8] = 15\n\n\t\tv[101,9] = 519\n\t\tv[102,9] = 307\n\t\tv[103,9] = 931\n\t\tv[104,9] = 1023\n\t\tv[105,9] = 517\n\t\tv[106,9] = 771\n\t\tv[107,9] = 151\n\t\tv[108,9] = 1023\n\t\tv[109,9] = 539\n\t\tv[110,9] = 725\n\t\tv[111,9] = 45\n\t\tv[112,9] = 927\n\t\tv[113,9] = 707\n\t\tv[114,9] = 29\n\t\tv[115,9] = 125\n\t\tv[116,9] = 371\n\t\tv[117,9] = 275\n\t\tv[118,9] = 279\n\t\tv[119,9] = 817\n\t\tv[120,9] = 389\n\t\tv[121,9] = 453\n\t\tv[122,9] = 989\n\t\tv[123,9] = 1015\n\t\tv[124,9] = 29\n\t\tv[125,9] = 169\n\t\tv[126,9] = 743\n\t\tv[127,9] = 99\n\t\tv[128,9] = 923\n\t\tv[129,9] = 981\n\t\tv[130,9] = 181\n\t\tv[131,9] = 693\n\t\tv[132,9] = 309\n\t\tv[133,9] = 227\n\t\tv[134,9] = 111\n\t\tv[135,9] = 219\n\t\tv[136,9] = 897\n\t\tv[137,9] = 377\n\t\tv[138,9] = 425\n\t\tv[139,9] = 609\n\t\tv[140,9] = 227\n\t\tv[141,9] = 19\n\t\tv[142,9] = 221\n\t\tv[143,9] = 143\n\t\tv[144,9] = 581\n\t\tv[145,9] = 147\n\t\tv[146,9] = 919\n\t\tv[147,9] = 127\n\t\tv[148,9] = 725\n\t\tv[149,9] = 793\n\t\tv[150,9] = 289\n\t\tv[151,9] = 411\n\t\tv[152,9] = 835\n\t\tv[153,9] = 921\n\t\tv[154,9] = 957\n\t\tv[155,9] = 443\n\t\tv[156,9] = 349\n\t\tv[157,9] = 813\n\t\tv[158,9] = 5\n\t\tv[159,9] = 105\n\t\tv[160,9] = 457\n\t\tv[161,9] = 393\n\t\tv[162,9] = 539\n\t\tv[163,9] = 101\n\t\tv[164,9] = 197\n\t\tv[165,9] = 697\n\t\tv[166,9] = 27\n\t\tv[167,9] = 343\n\t\tv[168,9] = 515\n\t\tv[169,9] = 69\n\t\tv[170,9] = 485\n\t\tv[171,9] = 383\n\t\tv[172,9] = 855\n\t\tv[173,9] = 693\n\t\tv[174,9] = 133\n\t\tv[175,9] = 87\n\t\tv[176,9] = 743\n\t\tv[177,9] = 747\n\t\tv[178,9] = 475\n\t\tv[179,9] = 87\n\t\tv[180,9] = 469\n\t\tv[181,9] = 763\n\t\tv[182,9] = 721\n\t\tv[183,9] = 345\n\t\tv[184,9] = 479\n\t\tv[185,9] = 965\n\t\tv[186,9] = 527\n\t\tv[187,9] = 121\n\t\tv[188,9] = 271\n\t\tv[189,9] = 353\n\t\tv[190,9] = 467\n\t\tv[191,9] = 177\n\t\tv[192,9] = 245\n\t\tv[193,9] = 627\n\t\tv[194,9] = 113\n\t\tv[195,9] = 357\n\t\tv[196,9] = 7\n\t\tv[197,9] = 691\n\t\tv[198,9] = 725\n\t\tv[199,9] = 355\n\t\tv[200,9] = 889\n\t\tv[201,9] = 635\n\t\tv[202,9] = 737\n\t\tv[203,9] = 429\n\t\tv[204,9] = 545\n\t\tv[205,9] = 925\n\t\tv[206,9] = 357\n\t\tv[207,9] = 873\n\t\tv[208,9] = 187\n\t\tv[209,9] = 351\n\t\tv[210,9] = 677\n\t\tv[211,9] = 999\n\t\tv[212,9] = 921\n\t\tv[213,9] = 477\n\t\tv[214,9] = 233\n\t\tv[215,9] = 765\n\t\tv[216,9] = 495\n\t\tv[217,9] = 81\n\t\tv[218,9] = 953\n\t\tv[219,9] = 479\n\t\tv[220,9] = 89\n\t\tv[221,9] = 173\n\t\tv[222,9] = 473\n\t\tv[223,9] = 131\n\t\tv[224,9] = 961\n\t\tv[225,9] = 411\n\t\tv[226,9] = 291\n\t\tv[227,9] = 967\n\t\tv[228,9] = 65\n\t\tv[229,9] = 511\n\t\tv[230,9] = 13\n\t\tv[231,9] = 805\n\t\tv[232,9] = 945\n\t\tv[233,9] = 369\n\t\tv[234,9] = 827\n\t\tv[235,9] = 295\n\t\tv[236,9] = 163\n\t\tv[237,9] = 835\n\t\tv[238,9] = 259\n\t\tv[239,9] = 207\n\t\tv[240,9] = 331\n\t\tv[241,9] = 29\n\t\tv[242,9] = 315\n\t\tv[243,9] = 999\n\t\tv[244,9] = 133\n\t\tv[245,9] = 967\n\t\tv[246,9] = 41\n\t\tv[247,9] = 117\n\t\tv[248,9] = 677\n\t\tv[249,9] = 471\n\t\tv[250,9] = 717\n\t\tv[251,9] = 881\n\t\tv[252,9] = 755\n\t\tv[253,9] = 351\n\t\tv[254,9] = 723\n\t\tv[255,9] = 259\n\t\tv[256,9] = 879\n\t\tv[257,9] = 455\n\t\tv[258,9] = 721\n\t\tv[259,9] = 289\n\t\tv[260,9] = 149\n\t\tv[261,9] = 199\n\t\tv[262,9] = 805\n\t\tv[263,9] = 987\n\t\tv[264,9] = 851\n\t\tv[265,9] = 423\n\t\tv[266,9] = 597\n\t\tv[267,9] = 129\n\t\tv[268,9] = 11\n\t\tv[269,9] = 733\n\t\tv[270,9] = 549\n\t\tv[271,9] = 153\n\t\tv[272,9] = 285\n\t\tv[273,9] = 451\n\t\tv[274,9] = 559\n\t\tv[275,9] = 377\n\t\tv[276,9] = 109\n\t\tv[277,9] = 357\n\t\tv[278,9] = 143\n\t\tv[279,9] = 693\n\t\tv[280,9] = 615\n\t\tv[281,9] = 677\n\t\tv[282,9] = 701\n\t\tv[283,9] = 475\n\t\tv[284,9] = 767\n\t\tv[285,9] = 85\n\t\tv[286,9] = 229\n\t\tv[287,9] = 509\n\t\tv[288,9] = 547\n\t\tv[289,9] = 151\n\t\tv[290,9] = 389\n\t\tv[291,9] = 711\n\t\tv[292,9] = 785\n\t\tv[293,9] = 657\n\t\tv[294,9] = 319\n\t\tv[295,9] = 509\n\t\tv[296,9] = 99\n\t\tv[297,9] = 1007\n\t\tv[298,9] = 775\n\t\tv[299,9] = 359\n\t\tv[300,9] = 697\n\t\tv[301,9] = 677\n\t\tv[302,9] = 85\n\t\tv[303,9] = 497\n\t\tv[304,9] = 105\n\t\tv[305,9] = 615\n\t\tv[306,9] = 891\n\t\tv[307,9] = 71\n\t\tv[308,9] = 449\n\t\tv[309,9] = 835\n\t\tv[310,9] = 609\n\t\tv[311,9] = 377\n\t\tv[312,9] = 693\n\t\tv[313,9] = 665\n\t\tv[314,9] = 627\n\t\tv[315,9] = 215\n\t\tv[316,9] = 911\n\t\tv[317,9] = 503\n\t\tv[318,9] = 729\n\t\tv[319,9] = 131\n\t\tv[320,9] = 19\n\t\tv[321,9] = 895\n\t\tv[322,9] = 199\n\t\tv[323,9] = 161\n\t\tv[324,9] = 239\n\t\tv[325,9] = 633\n\t\tv[326,9] = 1013\n\t\tv[327,9] = 537\n\t\tv[328,9] = 255\n\t\tv[329,9] = 23\n\t\tv[330,9] = 149\n\t\tv[331,9] = 679\n\t\tv[332,9] = 1021\n\t\tv[333,9] = 595\n\t\tv[334,9] = 199\n\t\tv[335,9] = 557\n\t\tv[336,9] = 659\n\t\tv[337,9] = 251\n\t\tv[338,9] = 829\n\t\tv[339,9] = 727\n\t\tv[340,9] = 439\n\t\tv[341,9] = 495\n\t\tv[342,9] = 647\n\t\tv[343,9] = 223\n\t\tv[344,9] = 949\n\t\tv[345,9] = 625\n\t\tv[346,9] = 87\n\t\tv[347,9] = 481\n\t\tv[348,9] = 85\n\t\tv[349,9] = 799\n\t\tv[350,9] = 917\n\t\tv[351,9] = 769\n\t\tv[352,9] = 949\n\t\tv[353,9] = 739\n\t\tv[354,9] = 115\n\t\tv[355,9] = 499\n\t\tv[356,9] = 945\n\t\tv[357,9] = 547\n\t\tv[358,9] = 225\n\t\tv[359,9] = 1015\n\t\tv[360,9] = 469\n\t\tv[361,9] = 737\n\t\tv[362,9] = 495\n\t\tv[363,9] = 353\n\t\tv[364,9] = 103\n\t\tv[365,9] = 17\n\t\tv[366,9] = 665\n\t\tv[367,9] = 639\n\t\tv[368,9] = 525\n\t\tv[369,9] = 75\n\t\tv[370,9] = 447\n\t\tv[371,9] = 185\n\t\tv[372,9] = 43\n\t\tv[373,9] = 729\n\t\tv[374,9] = 577\n\t\tv[375,9] = 863\n\t\tv[376,9] = 735\n\t\tv[377,9] = 317\n\t\tv[378,9] = 99\n\t\tv[379,9] = 17\n\t\tv[380,9] = 477\n\t\tv[381,9] = 893\n\t\tv[382,9] = 537\n\t\tv[383,9] = 519\n\t\tv[384,9] = 1017\n\t\tv[385,9] = 375\n\t\tv[386,9] = 297\n\t\tv[387,9] = 325\n\t\tv[388,9] = 999\n\t\tv[389,9] = 353\n\t\tv[390,9] = 343\n\t\tv[391,9] = 729\n\t\tv[392,9] = 135\n\t\tv[393,9] = 489\n\t\tv[394,9] = 859\n\t\tv[395,9] = 267\n\t\tv[396,9] = 141\n\t\tv[397,9] = 831\n\t\tv[398,9] = 141\n\t\tv[399,9] = 893\n\t\tv[400,9] = 249\n\t\tv[401,9] = 807\n\t\tv[402,9] = 53\n\t\tv[403,9] = 613\n\t\tv[404,9] = 131\n\t\tv[405,9] = 547\n\t\tv[406,9] = 977\n\t\tv[407,9] = 131\n\t\tv[408,9] = 999\n\t\tv[409,9] = 175\n\t\tv[410,9] = 31\n\t\tv[411,9] = 341\n\t\tv[412,9] = 739\n\t\tv[413,9] = 467\n\t\tv[414,9] = 675\n\t\tv[415,9] = 241\n\t\tv[416,9] = 645\n\t\tv[417,9] = 247\n\t\tv[418,9] = 391\n\t\tv[419,9] = 583\n\t\tv[420,9] = 183\n\t\tv[421,9] = 973\n\t\tv[422,9] = 433\n\t\tv[423,9] = 367\n\t\tv[424,9] = 131\n\t\tv[425,9] = 467\n\t\tv[426,9] = 571\n\t\tv[427,9] = 309\n\t\tv[428,9] = 385\n\t\tv[429,9] = 977\n\t\tv[430,9] = 111\n\t\tv[431,9] = 917\n\t\tv[432,9] = 935\n\t\tv[433,9] = 473\n\t\tv[434,9] = 345\n\t\tv[435,9] = 411\n\t\tv[436,9] = 313\n\t\tv[437,9] = 97\n\t\tv[438,9] = 149\n\t\tv[439,9] = 959\n\t\tv[440,9] = 841\n\t\tv[441,9] = 839\n\t\tv[442,9] = 669\n\t\tv[443,9] = 431\n\t\tv[444,9] = 51\n\t\tv[445,9] = 41\n\t\tv[446,9] = 301\n\t\tv[447,9] = 247\n\t\tv[448,9] = 1015\n\t\tv[449,9] = 377\n\t\tv[450,9] = 329\n\t\tv[451,9] = 945\n\t\tv[452,9] = 269\n\t\tv[453,9] = 67\n\t\tv[454,9] = 979\n\t\tv[455,9] = 581\n\t\tv[456,9] = 643\n\t\tv[457,9] = 823\n\t\tv[458,9] = 557\n\t\tv[459,9] = 91\n\t\tv[460,9] = 405\n\t\tv[461,9] = 117\n\t\tv[462,9] = 801\n\t\tv[463,9] = 509\n\t\tv[464,9] = 347\n\t\tv[465,9] = 893\n\t\tv[466,9] = 303\n\t\tv[467,9] = 227\n\t\tv[468,9] = 783\n\t\tv[469,9] = 555\n\t\tv[470,9] = 867\n\t\tv[471,9] = 99\n\t\tv[472,9] = 703\n\t\tv[473,9] = 111\n\t\tv[474,9] = 797\n\t\tv[475,9] = 873\n\t\tv[476,9] = 541\n\t\tv[477,9] = 919\n\t\tv[478,9] = 513\n\t\tv[479,9] = 343\n\t\tv[480,9] = 319\n\t\tv[481,9] = 517\n\t\tv[482,9] = 135\n\t\tv[483,9] = 871\n\t\tv[484,9] = 917\n\t\tv[485,9] = 285\n\t\tv[486,9] = 663\n\t\tv[487,9] = 301\n\t\tv[488,9] = 15\n\t\tv[489,9] = 763\n\t\tv[490,9] = 89\n\t\tv[491,9] = 323\n\t\tv[492,9] = 757\n\t\tv[493,9] = 317\n\t\tv[494,9] = 807\n\t\tv[495,9] = 309\n\t\tv[496,9] = 1013\n\t\tv[497,9] = 345\n\t\tv[498,9] = 499\n\t\tv[499,9] = 279\n\t\tv[500,9] = 711\n\t\tv[501,9] = 915\n\t\tv[502,9] = 411\n\t\tv[503,9] = 281\n\t\tv[504,9] = 193\n\t\tv[505,9] = 739\n\t\tv[506,9] = 365\n\t\tv[507,9] = 315\n\t\tv[508,9] = 375\n\t\tv[509,9] = 809\n\t\tv[510,9] = 469\n\t\tv[511,9] = 487\n\t\tv[512,9] = 621\n\t\tv[513,9] = 857\n\t\tv[514,9] = 975\n\t\tv[515,9] = 537\n\t\tv[516,9] = 939\n\t\tv[517,9] = 585\n\t\tv[518,9] = 129\n\t\tv[519,9] = 625\n\t\tv[520,9] = 447\n\t\tv[521,9] = 129\n\t\tv[522,9] = 1017\n\t\tv[523,9] = 133\n\t\tv[524,9] = 83\n\t\tv[525,9] = 3\n\t\tv[526,9] = 415\n\t\tv[527,9] = 661\n\t\tv[528,9] = 53\n\t\tv[529,9] = 115\n\t\tv[530,9] = 903\n\t\tv[531,9] = 49\n\t\tv[532,9] = 79\n\t\tv[533,9] = 55\n\t\tv[534,9] = 385\n\t\tv[535,9] = 261\n\t\tv[536,9] = 345\n\t\tv[537,9] = 297\n\t\tv[538,9] = 199\n\t\tv[539,9] = 385\n\t\tv[540,9] = 617\n\t\tv[541,9] = 25\n\t\tv[542,9] = 515\n\t\tv[543,9] = 275\n\t\tv[544,9] = 849\n\t\tv[545,9] = 401\n\t\tv[546,9] = 471\n\t\tv[547,9] = 377\n\t\tv[548,9] = 661\n\t\tv[549,9] = 535\n\t\tv[550,9] = 505\n\t\tv[551,9] = 939\n\t\tv[552,9] = 465\n\t\tv[553,9] = 225\n\t\tv[554,9] = 929\n\t\tv[555,9] = 219\n\t\tv[556,9] = 955\n\t\tv[557,9] = 659\n\t\tv[558,9] = 441\n\t\tv[559,9] = 117\n\t\tv[560,9] = 527\n\t\tv[561,9] = 427\n\t\tv[562,9] = 515\n\t\tv[563,9] = 287\n\t\tv[564,9] = 191\n\t\tv[565,9] = 33\n\t\tv[566,9] = 389\n\t\tv[567,9] = 197\n\t\tv[568,9] = 825\n\t\tv[569,9] = 63\n\t\tv[570,9] = 417\n\t\tv[571,9] = 949\n\t\tv[572,9] = 35\n\t\tv[573,9] = 571\n\t\tv[574,9] = 9\n\t\tv[575,9] = 131\n\t\tv[576,9] = 609\n\t\tv[577,9] = 439\n\t\tv[578,9] = 95\n\t\tv[579,9] = 19\n\t\tv[580,9] = 569\n\t\tv[581,9] = 893\n\t\tv[582,9] = 451\n\t\tv[583,9] = 397\n\t\tv[584,9] = 971\n\t\tv[585,9] = 801\n\t\tv[586,9] = 125\n\t\tv[587,9] = 471\n\t\tv[588,9] = 187\n\t\tv[589,9] = 257\n\t\tv[590,9] = 67\n\t\tv[591,9] = 949\n\t\tv[592,9] = 621\n\t\tv[593,9] = 453\n\t\tv[594,9] = 411\n\t\tv[595,9] = 621\n\t\tv[596,9] = 955\n\t\tv[597,9] = 309\n\t\tv[598,9] = 783\n\t\tv[599,9] = 893\n\t\tv[600,9] = 597\n\t\tv[601,9] = 377\n\t\tv[602,9] = 753\n\t\tv[603,9] = 145\n\t\tv[604,9] = 637\n\t\tv[605,9] = 941\n\t\tv[606,9] = 593\n\t\tv[607,9] = 317\n\t\tv[608,9] = 555\n\t\tv[609,9] = 375\n\t\tv[610,9] = 575\n\t\tv[611,9] = 175\n\t\tv[612,9] = 403\n\t\tv[613,9] = 571\n\t\tv[614,9] = 555\n\t\tv[615,9] = 109\n\t\tv[616,9] = 377\n\t\tv[617,9] = 931\n\t\tv[618,9] = 499\n\t\tv[619,9] = 649\n\t\tv[620,9] = 653\n\t\tv[621,9] = 329\n\t\tv[622,9] = 279\n\t\tv[623,9] = 271\n\t\tv[624,9] = 647\n\t\tv[625,9] = 721\n\t\tv[626,9] = 665\n\t\tv[627,9] = 429\n\t\tv[628,9] = 957\n\t\tv[629,9] = 803\n\t\tv[630,9] = 767\n\t\tv[631,9] = 425\n\t\tv[632,9] = 477\n\t\tv[633,9] = 995\n\t\tv[634,9] = 105\n\t\tv[635,9] = 495\n\t\tv[636,9] = 575\n\t\tv[637,9] = 687\n\t\tv[638,9] = 385\n\t\tv[639,9] = 227\n\t\tv[640,9] = 923\n\t\tv[641,9] = 563\n\t\tv[642,9] = 723\n\t\tv[643,9] = 481\n\t\tv[644,9] = 717\n\t\tv[645,9] = 111\n\t\tv[646,9] = 633\n\t\tv[647,9] = 113\n\t\tv[648,9] = 369\n\t\tv[649,9] = 955\n\t\tv[650,9] = 253\n\t\tv[651,9] = 321\n\t\tv[652,9] = 409\n\t\tv[653,9] = 909\n\t\tv[654,9] = 367\n\t\tv[655,9] = 33\n\t\tv[656,9] = 967\n\t\tv[657,9] = 453\n\t\tv[658,9] = 863\n\t\tv[659,9] = 449\n\t\tv[660,9] = 539\n\t\tv[661,9] = 781\n\t\tv[662,9] = 911\n\t\tv[663,9] = 113\n\t\tv[664,9] = 7\n\t\tv[665,9] = 219\n\t\tv[666,9] = 725\n\t\tv[667,9] = 1015\n\t\tv[668,9] = 971\n\t\tv[669,9] = 1021\n\t\tv[670,9] = 525\n\t\tv[671,9] = 785\n\t\tv[672,9] = 873\n\t\tv[673,9] = 191\n\t\tv[674,9] = 893\n\t\tv[675,9] = 297\n\t\tv[676,9] = 507\n\t\tv[677,9] = 215\n\t\tv[678,9] = 21\n\t\tv[679,9] = 153\n\t\tv[680,9] = 645\n\t\tv[681,9] = 913\n\t\tv[682,9] = 755\n\t\tv[683,9] = 371\n\t\tv[684,9] = 881\n\t\tv[685,9] = 113\n\t\tv[686,9] = 903\n\t\tv[687,9] = 225\n\t\tv[688,9] = 49\n\t\tv[689,9] = 587\n\t\tv[690,9] = 201\n\t\tv[691,9] = 927\n\t\tv[692,9] = 429\n\t\tv[693,9] = 599\n\t\tv[694,9] = 513\n\t\tv[695,9] = 97\n\t\tv[696,9] = 319\n\t\tv[697,9] = 331\n\t\tv[698,9] = 833\n\t\tv[699,9] = 325\n\t\tv[700,9] = 887\n\t\tv[701,9] = 139\n\t\tv[702,9] = 927\n\t\tv[703,9] = 399\n\t\tv[704,9] = 163\n\t\tv[705,9] = 307\n\t\tv[706,9] = 803\n\t\tv[707,9] = 169\n\t\tv[708,9] = 1019\n\t\tv[709,9] = 869\n\t\tv[710,9] = 537\n\t\tv[711,9] = 907\n\t\tv[712,9] = 479\n\t\tv[713,9] = 335\n\t\tv[714,9] = 697\n\t\tv[715,9] = 479\n\t\tv[716,9] = 353\n\t\tv[717,9] = 769\n\t\tv[718,9] = 787\n\t\tv[719,9] = 1023\n\t\tv[720,9] = 855\n\t\tv[721,9] = 493\n\t\tv[722,9] = 883\n\t\tv[723,9] = 521\n\t\tv[724,9] = 735\n\t\tv[725,9] = 297\n\t\tv[726,9] = 1011\n\t\tv[727,9] = 991\n\t\tv[728,9] = 879\n\t\tv[729,9] = 855\n\t\tv[730,9] = 591\n\t\tv[731,9] = 415\n\t\tv[732,9] = 917\n\t\tv[733,9] = 375\n\t\tv[734,9] = 453\n\t\tv[735,9] = 553\n\t\tv[736,9] = 189\n\t\tv[737,9] = 841\n\t\tv[738,9] = 339\n\t\tv[739,9] = 211\n\t\tv[740,9] = 601\n\t\tv[741,9] = 57\n\t\tv[742,9] = 765\n\t\tv[743,9] = 745\n\t\tv[744,9] = 621\n\t\tv[745,9] = 209\n\t\tv[746,9] = 875\n\t\tv[747,9] = 639\n\t\tv[748,9] = 7\n\t\tv[749,9] = 595\n\t\tv[750,9] = 971\n\t\tv[751,9] = 263\n\t\tv[752,9] = 1009\n\t\tv[753,9] = 201\n\t\tv[754,9] = 23\n\t\tv[755,9] = 77\n\t\tv[756,9] = 621\n\t\tv[757,9] = 33\n\t\tv[758,9] = 535\n\t\tv[759,9] = 963\n\t\tv[760,9] = 661\n\t\tv[761,9] = 523\n\t\tv[762,9] = 263\n\t\tv[763,9] = 917\n\t\tv[764,9] = 103\n\t\tv[765,9] = 623\n\t\tv[766,9] = 231\n\t\tv[767,9] = 47\n\t\tv[768,9] = 301\n\t\tv[769,9] = 549\n\t\tv[770,9] = 337\n\t\tv[771,9] = 675\n\t\tv[772,9] = 189\n\t\tv[773,9] = 357\n\t\tv[774,9] = 1005\n\t\tv[775,9] = 789\n\t\tv[776,9] = 189\n\t\tv[777,9] = 319\n\t\tv[778,9] = 721\n\t\tv[779,9] = 1005\n\t\tv[780,9] = 525\n\t\tv[781,9] = 675\n\t\tv[782,9] = 539\n\t\tv[783,9] = 191\n\t\tv[784,9] = 813\n\t\tv[785,9] = 917\n\t\tv[786,9] = 51\n\t\tv[787,9] = 167\n\t\tv[788,9] = 415\n\t\tv[789,9] = 579\n\t\tv[790,9] = 755\n\t\tv[791,9] = 605\n\t\tv[792,9] = 721\n\t\tv[793,9] = 837\n\t\tv[794,9] = 529\n\t\tv[795,9] = 31\n\t\tv[796,9] = 327\n\t\tv[797,9] = 799\n\t\tv[798,9] = 961\n\t\tv[799,9] = 279\n\t\tv[800,9] = 409\n\t\tv[801,9] = 847\n\t\tv[802,9] = 649\n\t\tv[803,9] = 241\n\t\tv[804,9] = 285\n\t\tv[805,9] = 545\n\t\tv[806,9] = 407\n\t\tv[807,9] = 161\n\t\tv[808,9] = 591\n\t\tv[809,9] = 73\n\t\tv[810,9] = 313\n\t\tv[811,9] = 811\n\t\tv[812,9] = 17\n\t\tv[813,9] = 663\n\t\tv[814,9] = 269\n\t\tv[815,9] = 261\n\t\tv[816,9] = 37\n\t\tv[817,9] = 783\n\t\tv[818,9] = 127\n\t\tv[819,9] = 917\n\t\tv[820,9] = 231\n\t\tv[821,9] = 577\n\t\tv[822,9] = 975\n\t\tv[823,9] = 793\n\t\tv[824,9] = 921\n\t\tv[825,9] = 343\n\t\tv[826,9] = 751\n\t\tv[827,9] = 139\n\t\tv[828,9] = 221\n\t\tv[829,9] = 79\n\t\tv[830,9] = 817\n\t\tv[831,9] = 393\n\t\tv[832,9] = 545\n\t\tv[833,9] = 11\n\t\tv[834,9] = 781\n\t\tv[835,9] = 71\n\t\tv[836,9] = 1\n\t\tv[837,9] = 699\n\t\tv[838,9] = 767\n\t\tv[839,9] = 917\n\t\tv[840,9] = 9\n\t\tv[841,9] = 107\n\t\tv[842,9] = 341\n\t\tv[843,9] = 587\n\t\tv[844,9] = 903\n\t\tv[845,9] = 965\n\t\tv[846,9] = 599\n\t\tv[847,9] = 507\n\t\tv[848,9] = 843\n\t\tv[849,9] = 739\n\t\tv[850,9] = 579\n\t\tv[851,9] = 397\n\t\tv[852,9] = 397\n\t\tv[853,9] = 325\n\t\tv[854,9] = 775\n\t\tv[855,9] = 565\n\t\tv[856,9] = 925\n\t\tv[857,9] = 75\n\t\tv[858,9] = 55\n\t\tv[859,9] = 979\n\t\tv[860,9] = 931\n\t\tv[861,9] = 93\n\t\tv[862,9] = 957\n\t\tv[863,9] = 857\n\t\tv[864,9] = 753\n\t\tv[865,9] = 965\n\t\tv[866,9] = 795\n\t\tv[867,9] = 67\n\t\tv[868,9] = 5\n\t\tv[869,9] = 87\n\t\tv[870,9] = 909\n\t\tv[871,9] = 97\n\t\tv[872,9] = 995\n\t\tv[873,9] = 271\n\t\tv[874,9] = 875\n\t\tv[875,9] = 671\n\t\tv[876,9] = 613\n\t\tv[877,9] = 33\n\t\tv[878,9] = 351\n\t\tv[879,9] = 69\n\t\tv[880,9] = 811\n\t\tv[881,9] = 669\n\t\tv[882,9] = 729\n\t\tv[883,9] = 401\n\t\tv[884,9] = 647\n\t\tv[885,9] = 241\n\t\tv[886,9] = 435\n\t\tv[887,9] = 447\n\t\tv[888,9] = 721\n\t\tv[889,9] = 271\n\t\tv[890,9] = 745\n\t\tv[891,9] = 53\n\t\tv[892,9] = 775\n\t\tv[893,9] = 99\n\t\tv[894,9] = 343\n\t\tv[895,9] = 451\n\t\tv[896,9] = 427\n\t\tv[897,9] = 593\n\t\tv[898,9] = 339\n\t\tv[899,9] = 845\n\t\tv[900,9] = 243\n\t\tv[901,9] = 345\n\t\tv[902,9] = 17\n\t\tv[903,9] = 573\n\t\tv[904,9] = 421\n\t\tv[905,9] = 517\n\t\tv[906,9] = 971\n\t\tv[907,9] = 499\n\t\tv[908,9] = 435\n\t\tv[909,9] = 769\n\t\tv[910,9] = 75\n\t\tv[911,9] = 203\n\t\tv[912,9] = 793\n\t\tv[913,9] = 985\n\t\tv[914,9] = 343\n\t\tv[915,9] = 955\n\t\tv[916,9] = 735\n\t\tv[917,9] = 523\n\t\tv[918,9] = 659\n\t\tv[919,9] = 703\n\t\tv[920,9] = 303\n\t\tv[921,9] = 421\n\t\tv[922,9] = 951\n\t\tv[923,9] = 405\n\t\tv[924,9] = 631\n\t\tv[925,9] = 825\n\t\tv[926,9] = 735\n\t\tv[927,9] = 433\n\t\tv[928,9] = 841\n\t\tv[929,9] = 485\n\t\tv[930,9] = 49\n\t\tv[931,9] = 749\n\t\tv[932,9] = 107\n\t\tv[933,9] = 669\n\t\tv[934,9] = 211\n\t\tv[935,9] = 497\n\t\tv[936,9] = 143\n\t\tv[937,9] = 99\n\t\tv[938,9] = 57\n\t\tv[939,9] = 277\n\t\tv[940,9] = 969\n\t\tv[941,9] = 107\n\t\tv[942,9] = 397\n\t\tv[943,9] = 563\n\t\tv[944,9] = 551\n\t\tv[945,9] = 447\n\t\tv[946,9] = 381\n\t\tv[947,9] = 187\n\t\tv[948,9] = 57\n\t\tv[949,9] = 405\n\t\tv[950,9] = 731\n\t\tv[951,9] = 769\n\t\tv[952,9] = 923\n\t\tv[953,9] = 955\n\t\tv[954,9] = 915\n\t\tv[955,9] = 737\n\t\tv[956,9] = 595\n\t\tv[957,9] = 341\n\t\tv[958,9] = 253\n\t\tv[959,9] = 823\n\t\tv[960,9] = 197\n\t\tv[961,9] = 321\n\t\tv[962,9] = 315\n\t\tv[963,9] = 181\n\t\tv[964,9] = 885\n\t\tv[965,9] = 497\n\t\tv[966,9] = 159\n\t\tv[967,9] = 571\n\t\tv[968,9] = 981\n\t\tv[969,9] = 899\n\t\tv[970,9] = 785\n\t\tv[971,9] = 947\n\t\tv[972,9] = 217\n\t\tv[973,9] = 217\n\t\tv[974,9] = 135\n\t\tv[975,9] = 753\n\t\tv[976,9] = 623\n\t\tv[977,9] = 565\n\t\tv[978,9] = 717\n\t\tv[979,9] = 903\n\t\tv[980,9] = 581\n\t\tv[981,9] = 955\n\t\tv[982,9] = 621\n\t\tv[983,9] = 361\n\t\tv[984,9] = 869\n\t\tv[985,9] = 87\n\t\tv[986,9] = 943\n\t\tv[987,9] = 907\n\t\tv[988,9] = 853\n\t\tv[989,9] = 353\n\t\tv[990,9] = 335\n\t\tv[991,9] = 197\n\t\tv[992,9] = 771\n\t\tv[993,9] = 433\n\t\tv[994,9] = 743\n\t\tv[995,9] = 195\n\t\tv[996,9] = 91\n\t\tv[997,9] = 1023\n\t\tv[998,9] = 63\n\t\tv[999,9] = 301\n\t\tv[1000,9] = 647\n\t\tv[1001,9] = 205\n\t\tv[1002,9] = 485\n\t\tv[1003,9] = 927\n\t\tv[1004,9] = 1003\n\t\tv[1005,9] = 987\n\t\tv[1006,9] = 359\n\t\tv[1007,9] = 577\n\t\tv[1008,9] = 147\n\t\tv[1009,9] = 141\n\t\tv[1010,9] = 1017\n\t\tv[1011,9] = 701\n\t\tv[1012,9] = 273\n\t\tv[1013,9] = 89\n\t\tv[1014,9] = 589\n\t\tv[1015,9] = 487\n\t\tv[1016,9] = 859\n\t\tv[1017,9] = 343\n\t\tv[1018,9] = 91\n\t\tv[1019,9] = 847\n\t\tv[1020,9] = 341\n\t\tv[1021,9] = 173\n\t\tv[1022,9] = 287\n\t\tv[1023,9] = 1003\n\t\tv[1024,9] = 289\n\t\tv[1025,9] = 639\n\t\tv[1026,9] = 983\n\t\tv[1027,9] = 685\n\t\tv[1028,9] = 697\n\t\tv[1029,9] = 35\n\t\tv[1030,9] = 701\n\t\tv[1031,9] = 645\n\t\tv[1032,9] = 911\n\t\tv[1033,9] = 501\n\t\tv[1034,9] = 705\n\t\tv[1035,9] = 873\n\t\tv[1036,9] = 763\n\t\tv[1037,9] = 745\n\t\tv[1038,9] = 657\n\t\tv[1039,9] = 559\n\t\tv[1040,9] = 699\n\t\tv[1041,9] = 315\n\t\tv[1042,9] = 347\n\t\tv[1043,9] = 429\n\t\tv[1044,9] = 197\n\t\tv[1045,9] = 165\n\t\tv[1046,9] = 955\n\t\tv[1047,9] = 859\n\t\tv[1048,9] = 167\n\t\tv[1049,9] = 303\n\t\tv[1050,9] = 833\n\t\tv[1051,9] = 531\n\t\tv[1052,9] = 473\n\t\tv[1053,9] = 635\n\t\tv[1054,9] = 641\n\t\tv[1055,9] = 195\n\t\tv[1056,9] = 589\n\t\tv[1057,9] = 821\n\t\tv[1058,9] = 205\n\t\tv[1059,9] = 3\n\t\tv[1060,9] = 635\n\t\tv[1061,9] = 371\n\t\tv[1062,9] = 891\n\t\tv[1063,9] = 249\n\t\tv[1064,9] = 123\n\t\tv[1065,9] = 77\n\t\tv[1066,9] = 623\n\t\tv[1067,9] = 993\n\t\tv[1068,9] = 401\n\t\tv[1069,9] = 525\n\t\tv[1070,9] = 427\n\t\tv[1071,9] = 71\n\t\tv[1072,9] = 655\n\t\tv[1073,9] = 951\n\t\tv[1074,9] = 357\n\t\tv[1075,9] = 851\n\t\tv[1076,9] = 899\n\t\tv[1077,9] = 535\n\t\tv[1078,9] = 493\n\t\tv[1079,9] = 323\n\t\tv[1080,9] = 1003\n\t\tv[1081,9] = 343\n\t\tv[1082,9] = 515\n\t\tv[1083,9] = 859\n\t\tv[1084,9] = 1017\n\t\tv[1085,9] = 5\n\t\tv[1086,9] = 423\n\t\tv[1087,9] = 315\n\t\tv[1088,9] = 1011\n\t\tv[1089,9] = 703\n\t\tv[1090,9] = 41\n\t\tv[1091,9] = 777\n\t\tv[1092,9] = 163\n\t\tv[1093,9] = 95\n\t\tv[1094,9] = 831\n\t\tv[1095,9] = 79\n\t\tv[1096,9] = 975\n\t\tv[1097,9] = 235\n\t\tv[1098,9] = 633\n\t\tv[1099,9] = 723\n\t\tv[1100,9] = 297\n\t\tv[1101,9] = 589\n\t\tv[1102,9] = 317\n\t\tv[1103,9] = 679\n\t\tv[1104,9] = 981\n\t\tv[1105,9] = 195\n\t\tv[1106,9] = 399\n\t\tv[1107,9] = 1003\n\t\tv[1108,9] = 121\n\t\tv[1109,9] = 501\n\t\tv[1110,9] = 155\n\n\t\tv[161,10] = 7\n\t\tv[162,10] = 2011\n\t\tv[163,10] = 1001\n\t\tv[164,10] = 49\n\t\tv[165,10] = 825\n\t\tv[166,10] = 415\n\t\tv[167,10] = 1441\n\t\tv[168,10] = 383\n\t\tv[169,10] = 1581\n\t\tv[170,10] = 623\n\t\tv[171,10] = 1621\n\t\tv[172,10] = 1319\n\t\tv[173,10] = 1387\n\t\tv[174,10] = 619\n\t\tv[175,10] = 839\n\t\tv[176,10] = 217\n\t\tv[177,10] = 75\n\t\tv[178,10] = 1955\n\t\tv[179,10] = 505\n\t\tv[180,10] = 281\n\t\tv[181,10] = 1629\n\t\tv[182,10] = 1379\n\t\tv[183,10] = 53\n\t\tv[184,10] = 1111\n\t\tv[185,10] = 1399\n\t\tv[186,10] = 301\n\t\tv[187,10] = 209\n\t\tv[188,10] = 49\n\t\tv[189,10] = 155\n\t\tv[190,10] = 1647\n\t\tv[191,10] = 631\n\t\tv[192,10] = 129\n\t\tv[193,10] = 1569\n\t\tv[194,10] = 335\n\t\tv[195,10] = 67\n\t\tv[196,10] = 1955\n\t\tv[197,10] = 1611\n\t\tv[198,10] = 2021\n\t\tv[199,10] = 1305\n\t\tv[200,10] = 121\n\t\tv[201,10] = 37\n\t\tv[202,10] = 877\n\t\tv[203,10] = 835\n\t\tv[204,10] = 1457\n\t\tv[205,10] = 669\n\t\tv[206,10] = 1405\n\t\tv[207,10] = 935\n\t\tv[208,10] = 1735\n\t\tv[209,10] = 665\n\t\tv[210,10] = 551\n\t\tv[211,10] = 789\n\t\tv[212,10] = 1543\n\t\tv[213,10] = 1267\n\t\tv[214,10] = 1027\n\t\tv[215,10] = 1\n\t\tv[216,10] = 1911\n\t\tv[217,10] = 163\n\t\tv[218,10] = 1929\n\t\tv[219,10] = 67\n\t\tv[220,10] = 1975\n\t\tv[221,10] = 1681\n\t\tv[222,10] = 1413\n\t\tv[223,10] = 191\n\t\tv[224,10] = 1711\n\t\tv[225,10] = 1307\n\t\tv[226,10] = 401\n\t\tv[227,10] = 725\n\t\tv[228,10] = 1229\n\t\tv[229,10] = 1403\n\t\tv[230,10] = 1609\n\t\tv[231,10] = 2035\n\t\tv[232,10] = 917\n\t\tv[233,10] = 921\n\t\tv[234,10] = 1789\n\t\tv[235,10] = 41\n\t\tv[236,10] = 2003\n\t\tv[237,10] = 187\n\t\tv[238,10] = 67\n\t\tv[239,10] = 1635\n\t\tv[240,10] = 717\n\t\tv[241,10] = 1449\n\t\tv[242,10] = 277\n\t\tv[243,10] = 1903\n\t\tv[244,10] = 1179\n\t\tv[245,10] = 363\n\t\tv[246,10] = 1211\n\t\tv[247,10] = 1231\n\t\tv[248,10] = 647\n\t\tv[249,10] = 1261\n\t\tv[250,10] = 1029\n\t\tv[251,10] = 1485\n\t\tv[252,10] = 1309\n\t\tv[253,10] = 1149\n\t\tv[254,10] = 317\n\t\tv[255,10] = 1335\n\t\tv[256,10] = 171\n\t\tv[257,10] = 243\n\t\tv[258,10] = 271\n\t\tv[259,10] = 1055\n\t\tv[260,10] = 1601\n\t\tv[261,10] = 1129\n\t\tv[262,10] = 1653\n\t\tv[263,10] = 205\n\t\tv[264,10] = 1463\n\t\tv[265,10] = 1681\n\t\tv[266,10] = 1621\n\t\tv[267,10] = 197\n\t\tv[268,10] = 951\n\t\tv[269,10] = 573\n\t\tv[270,10] = 1697\n\t\tv[271,10] = 1265\n\t\tv[272,10] = 1321\n\t\tv[273,10] = 1805\n\t\tv[274,10] = 1235\n\t\tv[275,10] = 1853\n\t\tv[276,10] = 1307\n\t\tv[277,10] = 945\n\t\tv[278,10] = 1197\n\t\tv[279,10] = 1411\n\t\tv[280,10] = 833\n\t\tv[281,10] = 273\n\t\tv[282,10] = 1517\n\t\tv[283,10] = 1747\n\t\tv[284,10] = 1095\n\t\tv[285,10] = 1345\n\t\tv[286,10] = 869\n\t\tv[287,10] = 57\n\t\tv[288,10] = 1383\n\t\tv[289,10] = 221\n\t\tv[290,10] = 1713\n\t\tv[291,10] = 335\n\t\tv[292,10] = 1751\n\t\tv[293,10] = 1141\n\t\tv[294,10] = 839\n\t\tv[295,10] = 523\n\t\tv[296,10] = 1861\n\t\tv[297,10] = 1105\n\t\tv[298,10] = 389\n\t\tv[299,10] = 1177\n\t\tv[300,10] = 1877\n\t\tv[301,10] = 805\n\t\tv[302,10] = 93\n\t\tv[303,10] = 1591\n\t\tv[304,10] = 423\n\t\tv[305,10] = 1835\n\t\tv[306,10] = 99\n\t\tv[307,10] = 1781\n\t\tv[308,10] = 1515\n\t\tv[309,10] = 1909\n\t\tv[310,10] = 1011\n\t\tv[311,10] = 303\n\t\tv[312,10] = 385\n\t\tv[313,10] = 1635\n\t\tv[314,10] = 357\n\t\tv[315,10] = 973\n\t\tv[316,10] = 1781\n\t\tv[317,10] = 1707\n\t\tv[318,10] = 1363\n\t\tv[319,10] = 1053\n\t\tv[320,10] = 649\n\t\tv[321,10] = 1469\n\t\tv[322,10] = 623\n\t\tv[323,10] = 1429\n\t\tv[324,10] = 1241\n\t\tv[325,10] = 1151\n\t\tv[326,10] = 1055\n\t\tv[327,10] = 503\n\t\tv[328,10] = 921\n\t\tv[329,10] = 3\n\t\tv[330,10] = 349\n\t\tv[331,10] = 1149\n\t\tv[332,10] = 293\n\t\tv[333,10] = 45\n\t\tv[334,10] = 303\n\t\tv[335,10] = 877\n\t\tv[336,10] = 1565\n\t\tv[337,10] = 1583\n\t\tv[338,10] = 1001\n\t\tv[339,10] = 663\n\t\tv[340,10] = 1535\n\t\tv[341,10] = 395\n\t\tv[342,10] = 1141\n\t\tv[343,10] = 1481\n\t\tv[344,10] = 1797\n\t\tv[345,10] = 643\n\t\tv[346,10] = 1507\n\t\tv[347,10] = 465\n\t\tv[348,10] = 2027\n\t\tv[349,10] = 1695\n\t\tv[350,10] = 367\n\t\tv[351,10] = 937\n\t\tv[352,10] = 719\n\t\tv[353,10] = 545\n\t\tv[354,10] = 1991\n\t\tv[355,10] = 83\n\t\tv[356,10] = 819\n\t\tv[357,10] = 239\n\t\tv[358,10] = 1791\n\t\tv[359,10] = 1461\n\t\tv[360,10] = 1647\n\t\tv[361,10] = 1501\n\t\tv[362,10] = 1161\n\t\tv[363,10] = 1629\n\t\tv[364,10] = 139\n\t\tv[365,10] = 1595\n\t\tv[366,10] = 1921\n\t\tv[367,10] = 1267\n\t\tv[368,10] = 1415\n\t\tv[369,10] = 509\n\t\tv[370,10] = 347\n\t\tv[371,10] = 777\n\t\tv[372,10] = 1083\n\t\tv[373,10] = 363\n\t\tv[374,10] = 269\n\t\tv[375,10] = 1015\n\t\tv[376,10] = 1809\n\t\tv[377,10] = 1105\n\t\tv[378,10] = 1429\n\t\tv[379,10] = 1471\n\t\tv[380,10] = 2019\n\t\tv[381,10] = 381\n\t\tv[382,10] = 2025\n\t\tv[383,10] = 1223\n\t\tv[384,10] = 827\n\t\tv[385,10] = 1733\n\t\tv[386,10] = 887\n\t\tv[387,10] = 1321\n\t\tv[388,10] = 803\n\t\tv[389,10] = 1951\n\t\tv[390,10] = 1297\n\t\tv[391,10] = 1995\n\t\tv[392,10] = 833\n\t\tv[393,10] = 1107\n\t\tv[394,10] = 1135\n\t\tv[395,10] = 1181\n\t\tv[396,10] = 1251\n\t\tv[397,10] = 983\n\t\tv[398,10] = 1389\n\t\tv[399,10] = 1565\n\t\tv[400,10] = 273\n\t\tv[401,10] = 137\n\t\tv[402,10] = 71\n\t\tv[403,10] = 735\n\t\tv[404,10] = 1005\n\t\tv[405,10] = 933\n\t\tv[406,10] = 67\n\t\tv[407,10] = 1471\n\t\tv[408,10] = 551\n\t\tv[409,10] = 457\n\t\tv[410,10] = 1667\n\t\tv[411,10] = 1729\n\t\tv[412,10] = 919\n\t\tv[413,10] = 285\n\t\tv[414,10] = 1629\n\t\tv[415,10] = 1815\n\t\tv[416,10] = 653\n\t\tv[417,10] = 1919\n\t\tv[418,10] = 1039\n\t\tv[419,10] = 531\n\t\tv[420,10] = 393\n\t\tv[421,10] = 1411\n\t\tv[422,10] = 359\n\t\tv[423,10] = 221\n\t\tv[424,10] = 699\n\t\tv[425,10] = 1485\n\t\tv[426,10] = 471\n\t\tv[427,10] = 1357\n\t\tv[428,10] = 1715\n\t\tv[429,10] = 595\n\t\tv[430,10] = 1677\n\t\tv[431,10] = 153\n\t\tv[432,10] = 1903\n\t\tv[433,10] = 1281\n\t\tv[434,10] = 215\n\t\tv[435,10] = 781\n\t\tv[436,10] = 543\n\t\tv[437,10] = 293\n\t\tv[438,10] = 1807\n\t\tv[439,10] = 965\n\t\tv[440,10] = 1695\n\t\tv[441,10] = 443\n\t\tv[442,10] = 1985\n\t\tv[443,10] = 321\n\t\tv[444,10] = 879\n\t\tv[445,10] = 1227\n\t\tv[446,10] = 1915\n\t\tv[447,10] = 839\n\t\tv[448,10] = 1945\n\t\tv[449,10] = 1993\n\t\tv[450,10] = 1165\n\t\tv[451,10] = 51\n\t\tv[452,10] = 557\n\t\tv[453,10] = 723\n\t\tv[454,10] = 1491\n\t\tv[455,10] = 817\n\t\tv[456,10] = 1237\n\t\tv[457,10] = 947\n\t\tv[458,10] = 1215\n\t\tv[459,10] = 1911\n\t\tv[460,10] = 1225\n\t\tv[461,10] = 1965\n\t\tv[462,10] = 1889\n\t\tv[463,10] = 1503\n\t\tv[464,10] = 1177\n\t\tv[465,10] = 73\n\t\tv[466,10] = 1767\n\t\tv[467,10] = 303\n\t\tv[468,10] = 177\n\t\tv[469,10] = 1897\n\t\tv[470,10] = 1401\n\t\tv[471,10] = 321\n\t\tv[472,10] = 921\n\t\tv[473,10] = 217\n\t\tv[474,10] = 1779\n\t\tv[475,10] = 327\n\t\tv[476,10] = 1889\n\t\tv[477,10] = 333\n\t\tv[478,10] = 615\n\t\tv[479,10] = 1665\n\t\tv[480,10] = 1825\n\t\tv[481,10] = 1639\n\t\tv[482,10] = 237\n\t\tv[483,10] = 1205\n\t\tv[484,10] = 361\n\t\tv[485,10] = 129\n\t\tv[486,10] = 1655\n\t\tv[487,10] = 983\n\t\tv[488,10] = 1089\n\t\tv[489,10] = 1171\n\t\tv[490,10] = 401\n\t\tv[491,10] = 677\n\t\tv[492,10] = 643\n\t\tv[493,10] = 749\n\t\tv[494,10] = 303\n\t\tv[495,10] = 1407\n\t\tv[496,10] = 1873\n\t\tv[497,10] = 1579\n\t\tv[498,10] = 1491\n\t\tv[499,10] = 1393\n\t\tv[500,10] = 1247\n\t\tv[501,10] = 789\n\t\tv[502,10] = 763\n\t\tv[503,10] = 49\n\t\tv[504,10] = 5\n\t\tv[505,10] = 1607\n\t\tv[506,10] = 1891\n\t\tv[507,10] = 735\n\t\tv[508,10] = 1557\n\t\tv[509,10] = 1909\n\t\tv[510,10] = 1765\n\t\tv[511,10] = 1777\n\t\tv[512,10] = 1127\n\t\tv[513,10] = 813\n\t\tv[514,10] = 695\n\t\tv[515,10] = 97\n\t\tv[516,10] = 731\n\t\tv[517,10] = 1503\n\t\tv[518,10] = 1751\n\t\tv[519,10] = 333\n\t\tv[520,10] = 769\n\t\tv[521,10] = 865\n\t\tv[522,10] = 693\n\t\tv[523,10] = 377\n\t\tv[524,10] = 1919\n\t\tv[525,10] = 957\n\t\tv[526,10] = 1359\n\t\tv[527,10] = 1627\n\t\tv[528,10] = 1039\n\t\tv[529,10] = 1783\n\t\tv[530,10] = 1065\n\t\tv[531,10] = 1665\n\t\tv[532,10] = 1917\n\t\tv[533,10] = 1947\n\t\tv[534,10] = 991\n\t\tv[535,10] = 1997\n\t\tv[536,10] = 841\n\t\tv[537,10] = 459\n\t\tv[538,10] = 221\n\t\tv[539,10] = 327\n\t\tv[540,10] = 1595\n\t\tv[541,10] = 1881\n\t\tv[542,10] = 1269\n\t\tv[543,10] = 1007\n\t\tv[544,10] = 129\n\t\tv[545,10] = 1413\n\t\tv[546,10] = 475\n\t\tv[547,10] = 1105\n\t\tv[548,10] = 791\n\t\tv[549,10] = 1983\n\t\tv[550,10] = 1359\n\t\tv[551,10] = 503\n\t\tv[552,10] = 691\n\t\tv[553,10] = 659\n\t\tv[554,10] = 691\n\t\tv[555,10] = 343\n\t\tv[556,10] = 1375\n\t\tv[557,10] = 1919\n\t\tv[558,10] = 263\n\t\tv[559,10] = 1373\n\t\tv[560,10] = 603\n\t\tv[561,10] = 1383\n\t\tv[562,10] = 297\n\t\tv[563,10] = 781\n\t\tv[564,10] = 145\n\t\tv[565,10] = 285\n\t\tv[566,10] = 767\n\t\tv[567,10] = 1739\n\t\tv[568,10] = 1715\n\t\tv[569,10] = 715\n\t\tv[570,10] = 317\n\t\tv[571,10] = 1333\n\t\tv[572,10] = 85\n\t\tv[573,10] = 831\n\t\tv[574,10] = 1615\n\t\tv[575,10] = 81\n\t\tv[576,10] = 1667\n\t\tv[577,10] = 1467\n\t\tv[578,10] = 1457\n\t\tv[579,10] = 1453\n\t\tv[580,10] = 1825\n\t\tv[581,10] = 109\n\t\tv[582,10] = 387\n\t\tv[583,10] = 1207\n\t\tv[584,10] = 2039\n\t\tv[585,10] = 213\n\t\tv[586,10] = 1351\n\t\tv[587,10] = 1329\n\t\tv[588,10] = 1173\n\t\tv[589,10] = 57\n\t\tv[590,10] = 1769\n\t\tv[591,10] = 951\n\t\tv[592,10] = 183\n\t\tv[593,10] = 23\n\t\tv[594,10] = 451\n\t\tv[595,10] = 1155\n\t\tv[596,10] = 1551\n\t\tv[597,10] = 2037\n\t\tv[598,10] = 811\n\t\tv[599,10] = 635\n\t\tv[600,10] = 1671\n\t\tv[601,10] = 1451\n\t\tv[602,10] = 863\n\t\tv[603,10] = 1499\n\t\tv[604,10] = 1673\n\t\tv[605,10] = 363\n\t\tv[606,10] = 1029\n\t\tv[607,10] = 1077\n\t\tv[608,10] = 1525\n\t\tv[609,10] = 277\n\t\tv[610,10] = 1023\n\t\tv[611,10] = 655\n\t\tv[612,10] = 665\n\t\tv[613,10] = 1869\n\t\tv[614,10] = 1255\n\t\tv[615,10] = 965\n\t\tv[616,10] = 277\n\t\tv[617,10] = 1601\n\t\tv[618,10] = 329\n\t\tv[619,10] = 1603\n\t\tv[620,10] = 1901\n\t\tv[621,10] = 395\n\t\tv[622,10] = 65\n\t\tv[623,10] = 1307\n\t\tv[624,10] = 2029\n\t\tv[625,10] = 21\n\t\tv[626,10] = 1321\n\t\tv[627,10] = 543\n\t\tv[628,10] = 1569\n\t\tv[629,10] = 1185\n\t\tv[630,10] = 1905\n\t\tv[631,10] = 1701\n\t\tv[632,10] = 413\n\t\tv[633,10] = 2041\n\t\tv[634,10] = 1697\n\t\tv[635,10] = 725\n\t\tv[636,10] = 1417\n\t\tv[637,10] = 1847\n\t\tv[638,10] = 411\n\t\tv[639,10] = 211\n\t\tv[640,10] = 915\n\t\tv[641,10] = 1891\n\t\tv[642,10] = 17\n\t\tv[643,10] = 1877\n\t\tv[644,10] = 1699\n\t\tv[645,10] = 687\n\t\tv[646,10] = 1089\n\t\tv[647,10] = 1973\n\t\tv[648,10] = 1809\n\t\tv[649,10] = 851\n\t\tv[650,10] = 1495\n\t\tv[651,10] = 1257\n\t\tv[652,10] = 63\n\t\tv[653,10] = 1323\n\t\tv[654,10] = 1307\n\t\tv[655,10] = 609\n\t\tv[656,10] = 881\n\t\tv[657,10] = 1543\n\t\tv[658,10] = 177\n\t\tv[659,10] = 617\n\t\tv[660,10] = 1505\n\t\tv[661,10] = 1747\n\t\tv[662,10] = 1537\n\t\tv[663,10] = 925\n\t\tv[664,10] = 183\n\t\tv[665,10] = 77\n\t\tv[666,10] = 1723\n\t\tv[667,10] = 1877\n\t\tv[668,10] = 1703\n\t\tv[669,10] = 397\n\t\tv[670,10] = 459\n\t\tv[671,10] = 521\n\t\tv[672,10] = 257\n\t\tv[673,10] = 1177\n\t\tv[674,10] = 389\n\t\tv[675,10] = 1947\n\t\tv[676,10] = 1553\n\t\tv[677,10] = 1583\n\t\tv[678,10] = 1831\n\t\tv[679,10] = 261\n\t\tv[680,10] = 485\n\t\tv[681,10] = 289\n\t\tv[682,10] = 1281\n\t\tv[683,10] = 1543\n\t\tv[684,10] = 1591\n\t\tv[685,10] = 1123\n\t\tv[686,10] = 573\n\t\tv[687,10] = 821\n\t\tv[688,10] = 1065\n\t\tv[689,10] = 1933\n\t\tv[690,10] = 1373\n\t\tv[691,10] = 2005\n\t\tv[692,10] = 905\n\t\tv[693,10] = 207\n\t\tv[694,10] = 173\n\t\tv[695,10] = 1573\n\t\tv[696,10] = 1597\n\t\tv[697,10] = 573\n\t\tv[698,10] = 1883\n\t\tv[699,10] = 1795\n\t\tv[700,10] = 1499\n\t\tv[701,10] = 1743\n\t\tv[702,10] = 553\n\t\tv[703,10] = 335\n\t\tv[704,10] = 333\n\t\tv[705,10] = 1645\n\t\tv[706,10] = 791\n\t\tv[707,10] = 871\n\t\tv[708,10] = 1157\n\t\tv[709,10] = 969\n\t\tv[710,10] = 557\n\t\tv[711,10] = 141\n\t\tv[712,10] = 223\n\t\tv[713,10] = 1129\n\t\tv[714,10] = 1685\n\t\tv[715,10] = 423\n\t\tv[716,10] = 1069\n\t\tv[717,10] = 391\n\t\tv[718,10] = 99\n\t\tv[719,10] = 95\n\t\tv[720,10] = 1847\n\t\tv[721,10] = 531\n\t\tv[722,10] = 1859\n\t\tv[723,10] = 1833\n\t\tv[724,10] = 1833\n\t\tv[725,10] = 341\n\t\tv[726,10] = 237\n\t\tv[727,10] = 1997\n\t\tv[728,10] = 1799\n\t\tv[729,10] = 409\n\t\tv[730,10] = 431\n\t\tv[731,10] = 1917\n\t\tv[732,10] = 363\n\t\tv[733,10] = 335\n\t\tv[734,10] = 1039\n\t\tv[735,10] = 1085\n\t\tv[736,10] = 1657\n\t\tv[737,10] = 1975\n\t\tv[738,10] = 1527\n\t\tv[739,10] = 1111\n\t\tv[740,10] = 659\n\t\tv[741,10] = 389\n\t\tv[742,10] = 899\n\t\tv[743,10] = 595\n\t\tv[744,10] = 1439\n\t\tv[745,10] = 1861\n\t\tv[746,10] = 1979\n\t\tv[747,10] = 1569\n\t\tv[748,10] = 1087\n\t\tv[749,10] = 1009\n\t\tv[750,10] = 165\n\t\tv[751,10] = 1895\n\t\tv[752,10] = 1481\n\t\tv[753,10] = 1583\n\t\tv[754,10] = 29\n\t\tv[755,10] = 1193\n\t\tv[756,10] = 1673\n\t\tv[757,10] = 1075\n\t\tv[758,10] = 301\n\t\tv[759,10] = 1081\n\t\tv[760,10] = 1377\n\t\tv[761,10] = 1747\n\t\tv[762,10] = 1497\n\t\tv[763,10] = 1103\n\t\tv[764,10] = 1789\n\t\tv[765,10] = 887\n\t\tv[766,10] = 739\n\t\tv[767,10] = 1577\n\t\tv[768,10] = 313\n\t\tv[769,10] = 1367\n\t\tv[770,10] = 1299\n\t\tv[771,10] = 1801\n\t\tv[772,10] = 1131\n\t\tv[773,10] = 1837\n\t\tv[774,10] = 73\n\t\tv[775,10] = 1865\n\t\tv[776,10] = 1065\n\t\tv[777,10] = 843\n\t\tv[778,10] = 635\n\t\tv[779,10] = 55\n\t\tv[780,10] = 1655\n\t\tv[781,10] = 913\n\t\tv[782,10] = 1037\n\t\tv[783,10] = 223\n\t\tv[784,10] = 1871\n\t\tv[785,10] = 1161\n\t\tv[786,10] = 461\n\t\tv[787,10] = 479\n\t\tv[788,10] = 511\n\t\tv[789,10] = 1721\n\t\tv[790,10] = 1107\n\t\tv[791,10] = 389\n\t\tv[792,10] = 151\n\t\tv[793,10] = 35\n\t\tv[794,10] = 375\n\t\tv[795,10] = 1099\n\t\tv[796,10] = 937\n\t\tv[797,10] = 1185\n\t\tv[798,10] = 1701\n\t\tv[799,10] = 769\n\t\tv[800,10] = 639\n\t\tv[801,10] = 1633\n\t\tv[802,10] = 1609\n\t\tv[803,10] = 379\n\t\tv[804,10] = 1613\n\t\tv[805,10] = 2031\n\t\tv[806,10] = 685\n\t\tv[807,10] = 289\n\t\tv[808,10] = 975\n\t\tv[809,10] = 671\n\t\tv[810,10] = 1599\n\t\tv[811,10] = 1447\n\t\tv[812,10] = 871\n\t\tv[813,10] = 647\n\t\tv[814,10] = 99\n\t\tv[815,10] = 139\n\t\tv[816,10] = 1427\n\t\tv[817,10] = 959\n\t\tv[818,10] = 89\n\t\tv[819,10] = 117\n\t\tv[820,10] = 841\n\t\tv[821,10] = 891\n\t\tv[822,10] = 1959\n\t\tv[823,10] = 223\n\t\tv[824,10] = 1697\n\t\tv[825,10] = 1145\n\t\tv[826,10] = 499\n\t\tv[827,10] = 1435\n\t\tv[828,10] = 1809\n\t\tv[829,10] = 1413\n\t\tv[830,10] = 1445\n\t\tv[831,10] = 1675\n\t\tv[832,10] = 171\n\t\tv[833,10] = 1073\n\t\tv[834,10] = 1349\n\t\tv[835,10] = 1545\n\t\tv[836,10] = 2039\n\t\tv[837,10] = 1027\n\t\tv[838,10] = 1563\n\t\tv[839,10] = 859\n\t\tv[840,10] = 215\n\t\tv[841,10] = 1673\n\t\tv[842,10] = 1919\n\t\tv[843,10] = 1633\n\t\tv[844,10] = 779\n\t\tv[845,10] = 411\n\t\tv[846,10] = 1845\n\t\tv[847,10] = 1477\n\t\tv[848,10] = 1489\n\t\tv[849,10] = 447\n\t\tv[850,10] = 1545\n\t\tv[851,10] = 351\n\t\tv[852,10] = 1989\n\t\tv[853,10] = 495\n\t\tv[854,10] = 183\n\t\tv[855,10] = 1639\n\t\tv[856,10] = 1385\n\t\tv[857,10] = 1805\n\t\tv[858,10] = 1097\n\t\tv[859,10] = 1249\n\t\tv[860,10] = 1431\n\t\tv[861,10] = 1571\n\t\tv[862,10] = 591\n\t\tv[863,10] = 697\n\t\tv[864,10] = 1509\n\t\tv[865,10] = 709\n\t\tv[866,10] = 31\n\t\tv[867,10] = 1563\n\t\tv[868,10] = 165\n\t\tv[869,10] = 513\n\t\tv[870,10] = 1425\n\t\tv[871,10] = 1299\n\t\tv[872,10] = 1081\n\t\tv[873,10] = 145\n\t\tv[874,10] = 1841\n\t\tv[875,10] = 1211\n\t\tv[876,10] = 941\n\t\tv[877,10] = 609\n\t\tv[878,10] = 845\n\t\tv[879,10] = 1169\n\t\tv[880,10] = 1865\n\t\tv[881,10] = 1593\n\t\tv[882,10] = 347\n\t\tv[883,10] = 293\n\t\tv[884,10] = 1277\n\t\tv[885,10] = 157\n\t\tv[886,10] = 211\n\t\tv[887,10] = 93\n\t\tv[888,10] = 1679\n\t\tv[889,10] = 1799\n\t\tv[890,10] = 527\n\t\tv[891,10] = 41\n\t\tv[892,10] = 473\n\t\tv[893,10] = 563\n\t\tv[894,10] = 187\n\t\tv[895,10] = 1525\n\t\tv[896,10] = 575\n\t\tv[897,10] = 1579\n\t\tv[898,10] = 857\n\t\tv[899,10] = 703\n\t\tv[900,10] = 1211\n\t\tv[901,10] = 647\n\t\tv[902,10] = 709\n\t\tv[903,10] = 981\n\t\tv[904,10] = 285\n\t\tv[905,10] = 697\n\t\tv[906,10] = 163\n\t\tv[907,10] = 981\n\t\tv[908,10] = 153\n\t\tv[909,10] = 1515\n\t\tv[910,10] = 47\n\t\tv[911,10] = 1553\n\t\tv[912,10] = 599\n\t\tv[913,10] = 225\n\t\tv[914,10] = 1147\n\t\tv[915,10] = 381\n\t\tv[916,10] = 135\n\t\tv[917,10] = 821\n\t\tv[918,10] = 1965\n\t\tv[919,10] = 609\n\t\tv[920,10] = 1033\n\t\tv[921,10] = 983\n\t\tv[922,10] = 503\n\t\tv[923,10] = 1117\n\t\tv[924,10] = 327\n\t\tv[925,10] = 453\n\t\tv[926,10] = 2005\n\t\tv[927,10] = 1257\n\t\tv[928,10] = 343\n\t\tv[929,10] = 1649\n\t\tv[930,10] = 1199\n\t\tv[931,10] = 599\n\t\tv[932,10] = 1877\n\t\tv[933,10] = 569\n\t\tv[934,10] = 695\n\t\tv[935,10] = 1587\n\t\tv[936,10] = 1475\n\t\tv[937,10] = 187\n\t\tv[938,10] = 973\n\t\tv[939,10] = 233\n\t\tv[940,10] = 511\n\t\tv[941,10] = 51\n\t\tv[942,10] = 1083\n\t\tv[943,10] = 665\n\t\tv[944,10] = 1321\n\t\tv[945,10] = 531\n\t\tv[946,10] = 1875\n\t\tv[947,10] = 1939\n\t\tv[948,10] = 859\n\t\tv[949,10] = 1507\n\t\tv[950,10] = 1979\n\t\tv[951,10] = 1203\n\t\tv[952,10] = 1965\n\t\tv[953,10] = 737\n\t\tv[954,10] = 921\n\t\tv[955,10] = 1565\n\t\tv[956,10] = 1943\n\t\tv[957,10] = 819\n\t\tv[958,10] = 223\n\t\tv[959,10] = 365\n\t\tv[960,10] = 167\n\t\tv[961,10] = 1705\n\t\tv[962,10] = 413\n\t\tv[963,10] = 1577\n\t\tv[964,10] = 745\n\t\tv[965,10] = 1573\n\t\tv[966,10] = 655\n\t\tv[967,10] = 1633\n\t\tv[968,10] = 1003\n\t\tv[969,10] = 91\n\t\tv[970,10] = 1123\n\t\tv[971,10] = 477\n\t\tv[972,10] = 1741\n\t\tv[973,10] = 1663\n\t\tv[974,10] = 35\n\t\tv[975,10] = 715\n\t\tv[976,10] = 37\n\t\tv[977,10] = 1513\n\t\tv[978,10] = 815\n\t\tv[979,10] = 941\n\t\tv[980,10] = 1379\n\t\tv[981,10] = 263\n\t\tv[982,10] = 1831\n\t\tv[983,10] = 1735\n\t\tv[984,10] = 1111\n\t\tv[985,10] = 1449\n\t\tv[986,10] = 353\n\t\tv[987,10] = 1941\n\t\tv[988,10] = 1655\n\t\tv[989,10] = 1349\n\t\tv[990,10] = 877\n\t\tv[991,10] = 285\n\t\tv[992,10] = 1723\n\t\tv[993,10] = 125\n\t\tv[994,10] = 1753\n\t\tv[995,10] = 985\n\t\tv[996,10] = 723\n\t\tv[997,10] = 175\n\t\tv[998,10] = 439\n\t\tv[999,10] = 791\n\t\tv[1000,10] = 1051\n\t\tv[1001,10] = 1261\n\t\tv[1002,10] = 717\n\t\tv[1003,10] = 1555\n\t\tv[1004,10] = 1757\n\t\tv[1005,10] = 1777\n\t\tv[1006,10] = 577\n\t\tv[1007,10] = 1583\n\t\tv[1008,10] = 1957\n\t\tv[1009,10] = 873\n\t\tv[1010,10] = 331\n\t\tv[1011,10] = 1163\n\t\tv[1012,10] = 313\n\t\tv[1013,10] = 1\n\t\tv[1014,10] = 1963\n\t\tv[1015,10] = 963\n\t\tv[1016,10] = 1905\n\t\tv[1017,10] = 821\n\t\tv[1018,10] = 1677\n\t\tv[1019,10] = 185\n\t\tv[1020,10] = 709\n\t\tv[1021,10] = 545\n\t\tv[1022,10] = 1723\n\t\tv[1023,10] = 215\n\t\tv[1024,10] = 1885\n\t\tv[1025,10] = 1249\n\t\tv[1026,10] = 583\n\t\tv[1027,10] = 1803\n\t\tv[1028,10] = 839\n\t\tv[1029,10] = 885\n\t\tv[1030,10] = 485\n\t\tv[1031,10] = 413\n\t\tv[1032,10] = 1767\n\t\tv[1033,10] = 425\n\t\tv[1034,10] = 129\n\t\tv[1035,10] = 1035\n\t\tv[1036,10] = 329\n\t\tv[1037,10] = 1263\n\t\tv[1038,10] = 1881\n\t\tv[1039,10] = 1779\n\t\tv[1040,10] = 1565\n\t\tv[1041,10] = 359\n\t\tv[1042,10] = 367\n\t\tv[1043,10] = 453\n\t\tv[1044,10] = 707\n\t\tv[1045,10] = 1419\n\t\tv[1046,10] = 831\n\t\tv[1047,10] = 1889\n\t\tv[1048,10] = 887\n\t\tv[1049,10] = 1871\n\t\tv[1050,10] = 1869\n\t\tv[1051,10] = 747\n\t\tv[1052,10] = 223\n\t\tv[1053,10] = 1547\n\t\tv[1054,10] = 1799\n\t\tv[1055,10] = 433\n\t\tv[1056,10] = 1441\n\t\tv[1057,10] = 553\n\t\tv[1058,10] = 2021\n\t\tv[1059,10] = 1303\n\t\tv[1060,10] = 1505\n\t\tv[1061,10] = 1735\n\t\tv[1062,10] = 1619\n\t\tv[1063,10] = 1065\n\t\tv[1064,10] = 1161\n\t\tv[1065,10] = 2047\n\t\tv[1066,10] = 347\n\t\tv[1067,10] = 867\n\t\tv[1068,10] = 881\n\t\tv[1069,10] = 1447\n\t\tv[1070,10] = 329\n\t\tv[1071,10] = 781\n\t\tv[1072,10] = 1065\n\t\tv[1073,10] = 219\n\t\tv[1074,10] = 589\n\t\tv[1075,10] = 645\n\t\tv[1076,10] = 1257\n\t\tv[1077,10] = 1833\n\t\tv[1078,10] = 749\n\t\tv[1079,10] = 1841\n\t\tv[1080,10] = 1733\n\t\tv[1081,10] = 1179\n\t\tv[1082,10] = 1191\n\t\tv[1083,10] = 1025\n\t\tv[1084,10] = 1639\n\t\tv[1085,10] = 1955\n\t\tv[1086,10] = 1423\n\t\tv[1087,10] = 1685\n\t\tv[1088,10] = 1711\n\t\tv[1089,10] = 493\n\t\tv[1090,10] = 549\n\t\tv[1091,10] = 783\n\t\tv[1092,10] = 1653\n\t\tv[1093,10] = 397\n\t\tv[1094,10] = 895\n\t\tv[1095,10] = 233\n\t\tv[1096,10] = 759\n\t\tv[1097,10] = 1505\n\t\tv[1098,10] = 677\n\t\tv[1099,10] = 1449\n\t\tv[1100,10] = 1573\n\t\tv[1101,10] = 1297\n\t\tv[1102,10] = 1821\n\t\tv[1103,10] = 1691\n\t\tv[1104,10] = 791\n\t\tv[1105,10] = 289\n\t\tv[1106,10] = 1187\n\t\tv[1107,10] = 867\n\t\tv[1108,10] = 1535\n\t\tv[1109,10] = 575\n\t\tv[1110,10] = 183\n\n\t\tv[337,11] = 3915\n\t\tv[338,11] = 97\n\t\tv[339,11] = 3047\n\t\tv[340,11] = 937\n\t\tv[341,11] = 2897\n\t\tv[342,11] = 953\n\t\tv[343,11] = 127\n\t\tv[344,11] = 1201\n\t\tv[345,11] = 3819\n\t\tv[346,11] = 193\n\t\tv[347,11] = 2053\n\t\tv[348,11] = 3061\n\t\tv[349,11] = 3759\n\t\tv[350,11] = 1553\n\t\tv[351,11] = 2007\n\t\tv[352,11] = 2493\n\t\tv[353,11] = 603\n\t\tv[354,11] = 3343\n\t\tv[355,11] = 3751\n\t\tv[356,11] = 1059\n\t\tv[357,11] = 783\n\t\tv[358,11] = 1789\n\t\tv[359,11] = 1589\n\t\tv[360,11] = 283\n\t\tv[361,11] = 1093\n\t\tv[362,11] = 3919\n\t\tv[363,11] = 2747\n\t\tv[364,11] = 277\n\t\tv[365,11] = 2605\n\t\tv[366,11] = 2169\n\t\tv[367,11] = 2905\n\t\tv[368,11] = 721\n\t\tv[369,11] = 4069\n\t\tv[370,11] = 233\n\t\tv[371,11] = 261\n\t\tv[372,11] = 1137\n\t\tv[373,11] = 3993\n\t\tv[374,11] = 3619\n\t\tv[375,11] = 2881\n\t\tv[376,11] = 1275\n\t\tv[377,11] = 3865\n\t\tv[378,11] = 1299\n\t\tv[379,11] = 3757\n\t\tv[380,11] = 1193\n\t\tv[381,11] = 733\n\t\tv[382,11] = 993\n\t\tv[383,11] = 1153\n\t\tv[384,11] = 2945\n\t\tv[385,11] = 3163\n\t\tv[386,11] = 3179\n\t\tv[387,11] = 437\n\t\tv[388,11] = 271\n\t\tv[389,11] = 3493\n\t\tv[390,11] = 3971\n\t\tv[391,11] = 1005\n\t\tv[392,11] = 2615\n\t\tv[393,11] = 2253\n\t\tv[394,11] = 1131\n\t\tv[395,11] = 585\n\t\tv[396,11] = 2775\n\t\tv[397,11] = 2171\n\t\tv[398,11] = 2383\n\t\tv[399,11] = 2937\n\t\tv[400,11] = 2447\n\t\tv[401,11] = 1745\n\t\tv[402,11] = 663\n\t\tv[403,11] = 1515\n\t\tv[404,11] = 3767\n\t\tv[405,11] = 2709\n\t\tv[406,11] = 1767\n\t\tv[407,11] = 3185\n\t\tv[408,11] = 3017\n\t\tv[409,11] = 2815\n\t\tv[410,11] = 1829\n\t\tv[411,11] = 87\n\t\tv[412,11] = 3341\n\t\tv[413,11] = 793\n\t\tv[414,11] = 2627\n\t\tv[415,11] = 2169\n\t\tv[416,11] = 1875\n\t\tv[417,11] = 3745\n\t\tv[418,11] = 367\n\t\tv[419,11] = 3783\n\t\tv[420,11] = 783\n\t\tv[421,11] = 827\n\t\tv[422,11] = 3253\n\t\tv[423,11] = 2639\n\t\tv[424,11] = 2955\n\t\tv[425,11] = 3539\n\t\tv[426,11] = 1579\n\t\tv[427,11] = 2109\n\t\tv[428,11] = 379\n\t\tv[429,11] = 2939\n\t\tv[430,11] = 3019\n\t\tv[431,11] = 1999\n\t\tv[432,11] = 2253\n\t\tv[433,11] = 2911\n\t\tv[434,11] = 3733\n\t\tv[435,11] = 481\n\t\tv[436,11] = 1767\n\t\tv[437,11] = 1055\n\t\tv[438,11] = 4019\n\t\tv[439,11] = 4085\n\t\tv[440,11] = 105\n\t\tv[441,11] = 1829\n\t\tv[442,11] = 2097\n\t\tv[443,11] = 2379\n\t\tv[444,11] = 1567\n\t\tv[445,11] = 2713\n\t\tv[446,11] = 737\n\t\tv[447,11] = 3423\n\t\tv[448,11] = 3941\n\t\tv[449,11] = 2659\n\t\tv[450,11] = 3961\n\t\tv[451,11] = 1755\n\t\tv[452,11] = 3613\n\t\tv[453,11] = 1937\n\t\tv[454,11] = 1559\n\t\tv[455,11] = 2287\n\t\tv[456,11] = 2743\n\t\tv[457,11] = 67\n\t\tv[458,11] = 2859\n\t\tv[459,11] = 325\n\t\tv[460,11] = 2601\n\t\tv[461,11] = 1149\n\t\tv[462,11] = 3259\n\t\tv[463,11] = 2403\n\t\tv[464,11] = 3947\n\t\tv[465,11] = 2011\n\t\tv[466,11] = 175\n\t\tv[467,11] = 3389\n\t\tv[468,11] = 3915\n\t\tv[469,11] = 1315\n\t\tv[470,11] = 2447\n\t\tv[471,11] = 141\n\t\tv[472,11] = 359\n\t\tv[473,11] = 3609\n\t\tv[474,11] = 3933\n\t\tv[475,11] = 729\n\t\tv[476,11] = 2051\n\t\tv[477,11] = 1755\n\t\tv[478,11] = 2149\n\t\tv[479,11] = 2107\n\t\tv[480,11] = 1741\n\t\tv[481,11] = 1051\n\t\tv[482,11] = 3681\n\t\tv[483,11] = 471\n\t\tv[484,11] = 1055\n\t\tv[485,11] = 845\n\t\tv[486,11] = 257\n\t\tv[487,11] = 1559\n\t\tv[488,11] = 1061\n\t\tv[489,11] = 2803\n\t\tv[490,11] = 2219\n\t\tv[491,11] = 1315\n\t\tv[492,11] = 1369\n\t\tv[493,11] = 3211\n\t\tv[494,11] = 4027\n\t\tv[495,11] = 105\n\t\tv[496,11] = 11\n\t\tv[497,11] = 1077\n\t\tv[498,11] = 2857\n\t\tv[499,11] = 337\n\t\tv[500,11] = 3553\n\t\tv[501,11] = 3503\n\t\tv[502,11] = 3917\n\t\tv[503,11] = 2665\n\t\tv[504,11] = 3823\n\t\tv[505,11] = 3403\n\t\tv[506,11] = 3711\n\t\tv[507,11] = 2085\n\t\tv[508,11] = 1103\n\t\tv[509,11] = 1641\n\t\tv[510,11] = 701\n\t\tv[511,11] = 4095\n\t\tv[512,11] = 2883\n\t\tv[513,11] = 1435\n\t\tv[514,11] = 653\n\t\tv[515,11] = 2363\n\t\tv[516,11] = 1597\n\t\tv[517,11] = 767\n\t\tv[518,11] = 869\n\t\tv[519,11] = 1825\n\t\tv[520,11] = 1117\n\t\tv[521,11] = 1297\n\t\tv[522,11] = 501\n\t\tv[523,11] = 505\n\t\tv[524,11] = 149\n\t\tv[525,11] = 873\n\t\tv[526,11] = 2673\n\t\tv[527,11] = 551\n\t\tv[528,11] = 1499\n\t\tv[529,11] = 2793\n\t\tv[530,11] = 3277\n\t\tv[531,11] = 2143\n\t\tv[532,11] = 3663\n\t\tv[533,11] = 533\n\t\tv[534,11] = 3991\n\t\tv[535,11] = 575\n\t\tv[536,11] = 1877\n\t\tv[537,11] = 1009\n\t\tv[538,11] = 3929\n\t\tv[539,11] = 473\n\t\tv[540,11] = 3009\n\t\tv[541,11] = 2595\n\t\tv[542,11] = 3249\n\t\tv[543,11] = 675\n\t\tv[544,11] = 3593\n\t\tv[545,11] = 2453\n\t\tv[546,11] = 1567\n\t\tv[547,11] = 973\n\t\tv[548,11] = 595\n\t\tv[549,11] = 1335\n\t\tv[550,11] = 1715\n\t\tv[551,11] = 589\n\t\tv[552,11] = 85\n\t\tv[553,11] = 2265\n\t\tv[554,11] = 3069\n\t\tv[555,11] = 461\n\t\tv[556,11] = 1659\n\t\tv[557,11] = 2627\n\t\tv[558,11] = 1307\n\t\tv[559,11] = 1731\n\t\tv[560,11] = 1501\n\t\tv[561,11] = 1699\n\t\tv[562,11] = 3545\n\t\tv[563,11] = 3803\n\t\tv[564,11] = 2157\n\t\tv[565,11] = 453\n\t\tv[566,11] = 2813\n\t\tv[567,11] = 2047\n\t\tv[568,11] = 2999\n\t\tv[569,11] = 3841\n\t\tv[570,11] = 2361\n\t\tv[571,11] = 1079\n\t\tv[572,11] = 573\n\t\tv[573,11] = 69\n\t\tv[574,11] = 1363\n\t\tv[575,11] = 1597\n\t\tv[576,11] = 3427\n\t\tv[577,11] = 2899\n\t\tv[578,11] = 2771\n\t\tv[579,11] = 1327\n\t\tv[580,11] = 1117\n\t\tv[581,11] = 1523\n\t\tv[582,11] = 3521\n\t\tv[583,11] = 2393\n\t\tv[584,11] = 2537\n\t\tv[585,11] = 1979\n\t\tv[586,11] = 3179\n\t\tv[587,11] = 683\n\t\tv[588,11] = 2453\n\t\tv[589,11] = 453\n\t\tv[590,11] = 1227\n\t\tv[591,11] = 779\n\t\tv[592,11] = 671\n\t\tv[593,11] = 3483\n\t\tv[594,11] = 2135\n\t\tv[595,11] = 3139\n\t\tv[596,11] = 3381\n\t\tv[597,11] = 3945\n\t\tv[598,11] = 57\n\t\tv[599,11] = 1541\n\t\tv[600,11] = 3405\n\t\tv[601,11] = 3381\n\t\tv[602,11] = 2371\n\t\tv[603,11] = 2879\n\t\tv[604,11] = 1985\n\t\tv[605,11] = 987\n\t\tv[606,11] = 3017\n\t\tv[607,11] = 3031\n\t\tv[608,11] = 3839\n\t\tv[609,11] = 1401\n\t\tv[610,11] = 3749\n\t\tv[611,11] = 2977\n\t\tv[612,11] = 681\n\t\tv[613,11] = 1175\n\t\tv[614,11] = 1519\n\t\tv[615,11] = 3355\n\t\tv[616,11] = 907\n\t\tv[617,11] = 117\n\t\tv[618,11] = 771\n\t\tv[619,11] = 3741\n\t\tv[620,11] = 3337\n\t\tv[621,11] = 1743\n\t\tv[622,11] = 1227\n\t\tv[623,11] = 3335\n\t\tv[624,11] = 2755\n\t\tv[625,11] = 1909\n\t\tv[626,11] = 3603\n\t\tv[627,11] = 2397\n\t\tv[628,11] = 653\n\t\tv[629,11] = 87\n\t\tv[630,11] = 2025\n\t\tv[631,11] = 2617\n\t\tv[632,11] = 3257\n\t\tv[633,11] = 287\n\t\tv[634,11] = 3051\n\t\tv[635,11] = 3809\n\t\tv[636,11] = 897\n\t\tv[637,11] = 2215\n\t\tv[638,11] = 63\n\t\tv[639,11] = 2043\n\t\tv[640,11] = 1757\n\t\tv[641,11] = 3671\n\t\tv[642,11] = 297\n\t\tv[643,11] = 3131\n\t\tv[644,11] = 1305\n\t\tv[645,11] = 293\n\t\tv[646,11] = 3865\n\t\tv[647,11] = 3173\n\t\tv[648,11] = 3397\n\t\tv[649,11] = 2269\n\t\tv[650,11] = 3673\n\t\tv[651,11] = 717\n\t\tv[652,11] = 3041\n\t\tv[653,11] = 3341\n\t\tv[654,11] = 3595\n\t\tv[655,11] = 3819\n\t\tv[656,11] = 2871\n\t\tv[657,11] = 3973\n\t\tv[658,11] = 1129\n\t\tv[659,11] = 513\n\t\tv[660,11] = 871\n\t\tv[661,11] = 1485\n\t\tv[662,11] = 3977\n\t\tv[663,11] = 2473\n\t\tv[664,11] = 1171\n\t\tv[665,11] = 1143\n\t\tv[666,11] = 3063\n\t\tv[667,11] = 3547\n\t\tv[668,11] = 2183\n\t\tv[669,11] = 3993\n\t\tv[670,11] = 133\n\t\tv[671,11] = 2529\n\t\tv[672,11] = 2699\n\t\tv[673,11] = 233\n\t\tv[674,11] = 2355\n\t\tv[675,11] = 231\n\t\tv[676,11] = 3241\n\t\tv[677,11] = 611\n\t\tv[678,11] = 1309\n\t\tv[679,11] = 3829\n\t\tv[680,11] = 1839\n\t\tv[681,11] = 1495\n\t\tv[682,11] = 301\n\t\tv[683,11] = 1169\n\t\tv[684,11] = 1613\n\t\tv[685,11] = 2673\n\t\tv[686,11] = 243\n\t\tv[687,11] = 3601\n\t\tv[688,11] = 3669\n\t\tv[689,11] = 2813\n\t\tv[690,11] = 2671\n\t\tv[691,11] = 2679\n\t\tv[692,11] = 3463\n\t\tv[693,11] = 2477\n\t\tv[694,11] = 1795\n\t\tv[695,11] = 617\n\t\tv[696,11] = 2317\n\t\tv[697,11] = 1855\n\t\tv[698,11] = 1057\n\t\tv[699,11] = 1703\n\t\tv[700,11] = 1761\n\t\tv[701,11] = 2515\n\t\tv[702,11] = 801\n\t\tv[703,11] = 1205\n\t\tv[704,11] = 1311\n\t\tv[705,11] = 473\n\t\tv[706,11] = 3963\n\t\tv[707,11] = 697\n\t\tv[708,11] = 1221\n\t\tv[709,11] = 251\n\t\tv[710,11] = 381\n\t\tv[711,11] = 3887\n\t\tv[712,11] = 1761\n\t\tv[713,11] = 3093\n\t\tv[714,11] = 3721\n\t\tv[715,11] = 2079\n\t\tv[716,11] = 4085\n\t\tv[717,11] = 379\n\t\tv[718,11] = 3601\n\t\tv[719,11] = 3845\n\t\tv[720,11] = 433\n\t\tv[721,11] = 1781\n\t\tv[722,11] = 29\n\t\tv[723,11] = 1897\n\t\tv[724,11] = 1599\n\t\tv[725,11] = 2163\n\t\tv[726,11] = 75\n\t\tv[727,11] = 3475\n\t\tv[728,11] = 3957\n\t\tv[729,11] = 1641\n\t\tv[730,11] = 3911\n\t\tv[731,11] = 2959\n\t\tv[732,11] = 2833\n\t\tv[733,11] = 1279\n\t\tv[734,11] = 1099\n\t\tv[735,11] = 403\n\t\tv[736,11] = 799\n\t\tv[737,11] = 2183\n\t\tv[738,11] = 2699\n\t\tv[739,11] = 1711\n\t\tv[740,11] = 2037\n\t\tv[741,11] = 727\n\t\tv[742,11] = 289\n\t\tv[743,11] = 1785\n\t\tv[744,11] = 1575\n\t\tv[745,11] = 3633\n\t\tv[746,11] = 2367\n\t\tv[747,11] = 1261\n\t\tv[748,11] = 3953\n\t\tv[749,11] = 1735\n\t\tv[750,11] = 171\n\t\tv[751,11] = 1959\n\t\tv[752,11] = 2867\n\t\tv[753,11] = 859\n\t\tv[754,11] = 2951\n\t\tv[755,11] = 3211\n\t\tv[756,11] = 15\n\t\tv[757,11] = 1279\n\t\tv[758,11] = 1323\n\t\tv[759,11] = 599\n\t\tv[760,11] = 1651\n\t\tv[761,11] = 3951\n\t\tv[762,11] = 1011\n\t\tv[763,11] = 315\n\t\tv[764,11] = 3513\n\t\tv[765,11] = 3351\n\t\tv[766,11] = 1725\n\t\tv[767,11] = 3793\n\t\tv[768,11] = 2399\n\t\tv[769,11] = 287\n\t\tv[770,11] = 4017\n\t\tv[771,11] = 3571\n\t\tv[772,11] = 1007\n\t\tv[773,11] = 541\n\t\tv[774,11] = 3115\n\t\tv[775,11] = 429\n\t\tv[776,11] = 1585\n\t\tv[777,11] = 1285\n\t\tv[778,11] = 755\n\t\tv[779,11] = 1211\n\t\tv[780,11] = 3047\n\t\tv[781,11] = 915\n\t\tv[782,11] = 3611\n\t\tv[783,11] = 2697\n\t\tv[784,11] = 2129\n\t\tv[785,11] = 3669\n\t\tv[786,11] = 81\n\t\tv[787,11] = 3939\n\t\tv[788,11] = 2437\n\t\tv[789,11] = 915\n\t\tv[790,11] = 779\n\t\tv[791,11] = 3567\n\t\tv[792,11] = 3701\n\t\tv[793,11] = 2479\n\t\tv[794,11] = 3807\n\t\tv[795,11] = 1893\n\t\tv[796,11] = 3927\n\t\tv[797,11] = 2619\n\t\tv[798,11] = 2543\n\t\tv[799,11] = 3633\n\t\tv[800,11] = 2007\n\t\tv[801,11] = 3857\n\t\tv[802,11] = 3837\n\t\tv[803,11] = 487\n\t\tv[804,11] = 1769\n\t\tv[805,11] = 3759\n\t\tv[806,11] = 3105\n\t\tv[807,11] = 2727\n\t\tv[808,11] = 3155\n\t\tv[809,11] = 2479\n\t\tv[810,11] = 1341\n\t\tv[811,11] = 1657\n\t\tv[812,11] = 2767\n\t\tv[813,11] = 2541\n\t\tv[814,11] = 577\n\t\tv[815,11] = 2105\n\t\tv[816,11] = 799\n\t\tv[817,11] = 17\n\t\tv[818,11] = 2871\n\t\tv[819,11] = 3637\n\t\tv[820,11] = 953\n\t\tv[821,11] = 65\n\t\tv[822,11] = 69\n\t\tv[823,11] = 2897\n\t\tv[824,11] = 3841\n\t\tv[825,11] = 3559\n\t\tv[826,11] = 4067\n\t\tv[827,11] = 2335\n\t\tv[828,11] = 3409\n\t\tv[829,11] = 1087\n\t\tv[830,11] = 425\n\t\tv[831,11] = 2813\n\t\tv[832,11] = 1705\n\t\tv[833,11] = 1701\n\t\tv[834,11] = 1237\n\t\tv[835,11] = 821\n\t\tv[836,11] = 1375\n\t\tv[837,11] = 3673\n\t\tv[838,11] = 2693\n\t\tv[839,11] = 3925\n\t\tv[840,11] = 1541\n\t\tv[841,11] = 1871\n\t\tv[842,11] = 2285\n\t\tv[843,11] = 847\n\t\tv[844,11] = 4035\n\t\tv[845,11] = 1101\n\t\tv[846,11] = 2029\n\t\tv[847,11] = 855\n\t\tv[848,11] = 2733\n\t\tv[849,11] = 2503\n\t\tv[850,11] = 121\n\t\tv[851,11] = 2855\n\t\tv[852,11] = 1069\n\t\tv[853,11] = 3463\n\t\tv[854,11] = 3505\n\t\tv[855,11] = 1539\n\t\tv[856,11] = 607\n\t\tv[857,11] = 1349\n\t\tv[858,11] = 575\n\t\tv[859,11] = 2301\n\t\tv[860,11] = 2321\n\t\tv[861,11] = 1101\n\t\tv[862,11] = 333\n\t\tv[863,11] = 291\n\t\tv[864,11] = 2171\n\t\tv[865,11] = 4085\n\t\tv[866,11] = 2173\n\t\tv[867,11] = 2541\n\t\tv[868,11] = 1195\n\t\tv[869,11] = 925\n\t\tv[870,11] = 4039\n\t\tv[871,11] = 1379\n\t\tv[872,11] = 699\n\t\tv[873,11] = 1979\n\t\tv[874,11] = 275\n\t\tv[875,11] = 953\n\t\tv[876,11] = 1755\n\t\tv[877,11] = 1643\n\t\tv[878,11] = 325\n\t\tv[879,11] = 101\n\t\tv[880,11] = 2263\n\t\tv[881,11] = 3329\n\t\tv[882,11] = 3673\n\t\tv[883,11] = 3413\n\t\tv[884,11] = 1977\n\t\tv[885,11] = 2727\n\t\tv[886,11] = 2313\n\t\tv[887,11] = 1419\n\t\tv[888,11] = 887\n\t\tv[889,11] = 609\n\t\tv[890,11] = 2475\n\t\tv[891,11] = 591\n\t\tv[892,11] = 2613\n\t\tv[893,11] = 2081\n\t\tv[894,11] = 3805\n\t\tv[895,11] = 3435\n\t\tv[896,11] = 2409\n\t\tv[897,11] = 111\n\t\tv[898,11] = 3557\n\t\tv[899,11] = 3607\n\t\tv[900,11] = 903\n\t\tv[901,11] = 231\n\t\tv[902,11] = 3059\n\t\tv[903,11] = 473\n\t\tv[904,11] = 2959\n\t\tv[905,11] = 2925\n\t\tv[906,11] = 3861\n\t\tv[907,11] = 2043\n\t\tv[908,11] = 3887\n\t\tv[909,11] = 351\n\t\tv[910,11] = 2865\n\t\tv[911,11] = 369\n\t\tv[912,11] = 1377\n\t\tv[913,11] = 2639\n\t\tv[914,11] = 1261\n\t\tv[915,11] = 3625\n\t\tv[916,11] = 3279\n\t\tv[917,11] = 2201\n\t\tv[918,11] = 2949\n\t\tv[919,11] = 3049\n\t\tv[920,11] = 449\n\t\tv[921,11] = 1297\n\t\tv[922,11] = 897\n\t\tv[923,11] = 1891\n\t\tv[924,11] = 411\n\t\tv[925,11] = 2773\n\t\tv[926,11] = 749\n\t\tv[927,11] = 2753\n\t\tv[928,11] = 1825\n\t\tv[929,11] = 853\n\t\tv[930,11] = 2775\n\t\tv[931,11] = 3547\n\t\tv[932,11] = 3923\n\t\tv[933,11] = 3923\n\t\tv[934,11] = 987\n\t\tv[935,11] = 3723\n\t\tv[936,11] = 2189\n\t\tv[937,11] = 3877\n\t\tv[938,11] = 3577\n\t\tv[939,11] = 297\n\t\tv[940,11] = 2763\n\t\tv[941,11] = 1845\n\t\tv[942,11] = 3083\n\t\tv[943,11] = 2951\n\t\tv[944,11] = 483\n\t\tv[945,11] = 2169\n\t\tv[946,11] = 3985\n\t\tv[947,11] = 245\n\t\tv[948,11] = 3655\n\t\tv[949,11] = 3441\n\t\tv[950,11] = 1023\n\t\tv[951,11] = 235\n\t\tv[952,11] = 835\n\t\tv[953,11] = 3693\n\t\tv[954,11] = 3585\n\t\tv[955,11] = 327\n\t\tv[956,11] = 1003\n\t\tv[957,11] = 543\n\t\tv[958,11] = 3059\n\t\tv[959,11] = 2637\n\t\tv[960,11] = 2923\n\t\tv[961,11] = 87\n\t\tv[962,11] = 3617\n\t\tv[963,11] = 1031\n\t\tv[964,11] = 1043\n\t\tv[965,11] = 903\n\t\tv[966,11] = 2913\n\t\tv[967,11] = 2177\n\t\tv[968,11] = 2641\n\t\tv[969,11] = 3279\n\t\tv[970,11] = 389\n\t\tv[971,11] = 2009\n\t\tv[972,11] = 525\n\t\tv[973,11] = 4085\n\t\tv[974,11] = 3299\n\t\tv[975,11] = 987\n\t\tv[976,11] = 2409\n\t\tv[977,11] = 813\n\t\tv[978,11] = 2683\n\t\tv[979,11] = 373\n\t\tv[980,11] = 2695\n\t\tv[981,11] = 3775\n\t\tv[982,11] = 2375\n\t\tv[983,11] = 1119\n\t\tv[984,11] = 2791\n\t\tv[985,11] = 223\n\t\tv[986,11] = 325\n\t\tv[987,11] = 587\n\t\tv[988,11] = 1379\n\t\tv[989,11] = 2877\n\t\tv[990,11] = 2867\n\t\tv[991,11] = 3793\n\t\tv[992,11] = 655\n\t\tv[993,11] = 831\n\t\tv[994,11] = 3425\n\t\tv[995,11] = 1663\n\t\tv[996,11] = 1681\n\t\tv[997,11] = 2657\n\t\tv[998,11] = 1865\n\t\tv[999,11] = 3943\n\t\tv[1000,11] = 2977\n\t\tv[1001,11] = 1979\n\t\tv[1002,11] = 2271\n\t\tv[1003,11] = 3247\n\t\tv[1004,11] = 1267\n\t\tv[1005,11] = 1747\n\t\tv[1006,11] = 811\n\t\tv[1007,11] = 159\n\t\tv[1008,11] = 429\n\t\tv[1009,11] = 2001\n\t\tv[1010,11] = 1195\n\t\tv[1011,11] = 3065\n\t\tv[1012,11] = 553\n\t\tv[1013,11] = 1499\n\t\tv[1014,11] = 3529\n\t\tv[1015,11] = 1081\n\t\tv[1016,11] = 2877\n\t\tv[1017,11] = 3077\n\t\tv[1018,11] = 845\n\t\tv[1019,11] = 1793\n\t\tv[1020,11] = 2409\n\t\tv[1021,11] = 3995\n\t\tv[1022,11] = 2559\n\t\tv[1023,11] = 4081\n\t\tv[1024,11] = 1195\n\t\tv[1025,11] = 2955\n\t\tv[1026,11] = 1117\n\t\tv[1027,11] = 1409\n\t\tv[1028,11] = 785\n\t\tv[1029,11] = 287\n\t\tv[1030,11] = 1521\n\t\tv[1031,11] = 1607\n\t\tv[1032,11] = 85\n\t\tv[1033,11] = 3055\n\t\tv[1034,11] = 3123\n\t\tv[1035,11] = 2533\n\t\tv[1036,11] = 2329\n\t\tv[1037,11] = 3477\n\t\tv[1038,11] = 799\n\t\tv[1039,11] = 3683\n\t\tv[1040,11] = 3715\n\t\tv[1041,11] = 337\n\t\tv[1042,11] = 3139\n\t\tv[1043,11] = 3311\n\t\tv[1044,11] = 431\n\t\tv[1045,11] = 3511\n\t\tv[1046,11] = 2299\n\t\tv[1047,11] = 365\n\t\tv[1048,11] = 2941\n\t\tv[1049,11] = 3067\n\t\tv[1050,11] = 1331\n\t\tv[1051,11] = 1081\n\t\tv[1052,11] = 1097\n\t\tv[1053,11] = 2853\n\t\tv[1054,11] = 2299\n\t\tv[1055,11] = 495\n\t\tv[1056,11] = 1745\n\t\tv[1057,11] = 749\n\t\tv[1058,11] = 3819\n\t\tv[1059,11] = 619\n\t\tv[1060,11] = 1059\n\t\tv[1061,11] = 3559\n\t\tv[1062,11] = 183\n\t\tv[1063,11] = 3743\n\t\tv[1064,11] = 723\n\t\tv[1065,11] = 949\n\t\tv[1066,11] = 3501\n\t\tv[1067,11] = 733\n\t\tv[1068,11] = 2599\n\t\tv[1069,11] = 3983\n\t\tv[1070,11] = 3961\n\t\tv[1071,11] = 911\n\t\tv[1072,11] = 1899\n\t\tv[1073,11] = 985\n\t\tv[1074,11] = 2493\n\t\tv[1075,11] = 1795\n\t\tv[1076,11] = 653\n\t\tv[1077,11] = 157\n\t\tv[1078,11] = 433\n\t\tv[1079,11] = 2361\n\t\tv[1080,11] = 3093\n\t\tv[1081,11] = 3119\n\t\tv[1082,11] = 3679\n\t\tv[1083,11] = 2367\n\t\tv[1084,11] = 1701\n\t\tv[1085,11] = 1445\n\t\tv[1086,11] = 1321\n\t\tv[1087,11] = 2397\n\t\tv[1088,11] = 1241\n\t\tv[1089,11] = 3305\n\t\tv[1090,11] = 3985\n\t\tv[1091,11] = 2349\n\t\tv[1092,11] = 4067\n\t\tv[1093,11] = 3805\n\t\tv[1094,11] = 3073\n\t\tv[1095,11] = 2837\n\t\tv[1096,11] = 1567\n\t\tv[1097,11] = 3783\n\t\tv[1098,11] = 451\n\t\tv[1099,11] = 2441\n\t\tv[1100,11] = 1181\n\t\tv[1101,11] = 487\n\t\tv[1102,11] = 543\n\t\tv[1103,11] = 1201\n\t\tv[1104,11] = 3735\n\t\tv[1105,11] = 2517\n\t\tv[1106,11] = 733\n\t\tv[1107,11] = 1535\n\t\tv[1108,11] = 2175\n\t\tv[1109,11] = 3613\n\t\tv[1110,11] = 3019\n\n\t\tv[481,12] = 2319\n\t\tv[482,12] = 653\n\t\tv[483,12] = 1379\n\t\tv[484,12] = 1675\n\t\tv[485,12] = 1951\n\t\tv[486,12] = 7075\n\t\tv[487,12] = 2087\n\t\tv[488,12] = 7147\n\t\tv[489,12] = 1427\n\t\tv[490,12] = 893\n\t\tv[491,12] = 171\n\t\tv[492,12] = 2019\n\t\tv[493,12] = 7235\n\t\tv[494,12] = 5697\n\t\tv[495,12] = 3615\n\t\tv[496,12] = 1961\n\t\tv[497,12] = 7517\n\t\tv[498,12] = 6849\n\t\tv[499,12] = 2893\n\t\tv[500,12] = 1883\n\t\tv[501,12] = 2863\n\t\tv[502,12] = 2173\n\t\tv[503,12] = 4543\n\t\tv[504,12] = 73\n\t\tv[505,12] = 381\n\t\tv[506,12] = 3893\n\t\tv[507,12] = 6045\n\t\tv[508,12] = 1643\n\t\tv[509,12] = 7669\n\t\tv[510,12] = 1027\n\t\tv[511,12] = 1549\n\t\tv[512,12] = 3983\n\t\tv[513,12] = 1985\n\t\tv[514,12] = 6589\n\t\tv[515,12] = 7497\n\t\tv[516,12] = 2745\n\t\tv[517,12] = 2375\n\t\tv[518,12] = 7047\n\t\tv[519,12] = 1117\n\t\tv[520,12] = 1171\n\t\tv[521,12] = 1975\n\t\tv[522,12] = 5199\n\t\tv[523,12] = 3915\n\t\tv[524,12] = 3695\n\t\tv[525,12] = 8113\n\t\tv[526,12] = 4303\n\t\tv[527,12] = 3773\n\t\tv[528,12] = 7705\n\t\tv[529,12] = 6855\n\t\tv[530,12] = 1675\n\t\tv[531,12] = 2245\n\t\tv[532,12] = 2817\n\t\tv[533,12] = 1719\n\t\tv[534,12] = 569\n\t\tv[535,12] = 1021\n\t\tv[536,12] = 2077\n\t\tv[537,12] = 5945\n\t\tv[538,12] = 1833\n\t\tv[539,12] = 2631\n\t\tv[540,12] = 4851\n\t\tv[541,12] = 6371\n\t\tv[542,12] = 833\n\t\tv[543,12] = 7987\n\t\tv[544,12] = 331\n\t\tv[545,12] = 1899\n\t\tv[546,12] = 8093\n\t\tv[547,12] = 6719\n\t\tv[548,12] = 6903\n\t\tv[549,12] = 5903\n\t\tv[550,12] = 5657\n\t\tv[551,12] = 5007\n\t\tv[552,12] = 2689\n\t\tv[553,12] = 6637\n\t\tv[554,12] = 2675\n\t\tv[555,12] = 1645\n\t\tv[556,12] = 1819\n\t\tv[557,12] = 689\n\t\tv[558,12] = 6709\n\t\tv[559,12] = 7717\n\t\tv[560,12] = 6295\n\t\tv[561,12] = 7013\n\t\tv[562,12] = 7695\n\t\tv[563,12] = 3705\n\t\tv[564,12] = 7069\n\t\tv[565,12] = 2621\n\t\tv[566,12] = 3631\n\t\tv[567,12] = 6571\n\t\tv[568,12] = 6259\n\t\tv[569,12] = 7261\n\t\tv[570,12] = 3397\n\t\tv[571,12] = 7645\n\t\tv[572,12] = 1115\n\t\tv[573,12] = 4753\n\t\tv[574,12] = 2047\n\t\tv[575,12] = 7579\n\t\tv[576,12] = 2271\n\t\tv[577,12] = 5403\n\t\tv[578,12] = 4911\n\t\tv[579,12] = 7629\n\t\tv[580,12] = 4225\n\t\tv[581,12] = 1209\n\t\tv[582,12] = 6955\n\t\tv[583,12] = 6951\n\t\tv[584,12] = 1829\n\t\tv[585,12] = 5579\n\t\tv[586,12] = 5231\n\t\tv[587,12] = 1783\n\t\tv[588,12] = 4285\n\t\tv[589,12] = 7425\n\t\tv[590,12] = 599\n\t\tv[591,12] = 5785\n\t\tv[592,12] = 3275\n\t\tv[593,12] = 5643\n\t\tv[594,12] = 2263\n\t\tv[595,12] = 657\n\t\tv[596,12] = 6769\n\t\tv[597,12] = 6261\n\t\tv[598,12] = 1251\n\t\tv[599,12] = 3249\n\t\tv[600,12] = 4447\n\t\tv[601,12] = 4111\n\t\tv[602,12] = 3991\n\t\tv[603,12] = 1215\n\t\tv[604,12] = 131\n\t\tv[605,12] = 4397\n\t\tv[606,12] = 3487\n\t\tv[607,12] = 7585\n\t\tv[608,12] = 5565\n\t\tv[609,12] = 7199\n\t\tv[610,12] = 3573\n\t\tv[611,12] = 7105\n\t\tv[612,12] = 7409\n\t\tv[613,12] = 1671\n\t\tv[614,12] = 949\n\t\tv[615,12] = 3889\n\t\tv[616,12] = 5971\n\t\tv[617,12] = 3333\n\t\tv[618,12] = 225\n\t\tv[619,12] = 3647\n\t\tv[620,12] = 5403\n\t\tv[621,12] = 3409\n\t\tv[622,12] = 7459\n\t\tv[623,12] = 6879\n\t\tv[624,12] = 5789\n\t\tv[625,12] = 6567\n\t\tv[626,12] = 5581\n\t\tv[627,12] = 4919\n\t\tv[628,12] = 1927\n\t\tv[629,12] = 4407\n\t\tv[630,12] = 8085\n\t\tv[631,12] = 4691\n\t\tv[632,12] = 611\n\t\tv[633,12] = 3005\n\t\tv[634,12] = 591\n\t\tv[635,12] = 753\n\t\tv[636,12] = 589\n\t\tv[637,12] = 171\n\t\tv[638,12] = 5729\n\t\tv[639,12] = 5891\n\t\tv[640,12] = 1033\n\t\tv[641,12] = 3049\n\t\tv[642,12] = 6567\n\t\tv[643,12] = 5257\n\t\tv[644,12] = 8003\n\t\tv[645,12] = 1757\n\t\tv[646,12] = 4489\n\t\tv[647,12] = 4923\n\t\tv[648,12] = 6379\n\t\tv[649,12] = 5171\n\t\tv[650,12] = 1757\n\t\tv[651,12] = 689\n\t\tv[652,12] = 3081\n\t\tv[653,12] = 1389\n\t\tv[654,12] = 4113\n\t\tv[655,12] = 455\n\t\tv[656,12] = 2761\n\t\tv[657,12] = 847\n\t\tv[658,12] = 7575\n\t\tv[659,12] = 5829\n\t\tv[660,12] = 633\n\t\tv[661,12] = 6629\n\t\tv[662,12] = 1103\n\t\tv[663,12] = 7635\n\t\tv[664,12] = 803\n\t\tv[665,12] = 6175\n\t\tv[666,12] = 6587\n\t\tv[667,12] = 2711\n\t\tv[668,12] = 3879\n\t\tv[669,12] = 67\n\t\tv[670,12] = 1179\n\t\tv[671,12] = 4761\n\t\tv[672,12] = 7281\n\t\tv[673,12] = 1557\n\t\tv[674,12] = 3379\n\t\tv[675,12] = 2459\n\t\tv[676,12] = 4273\n\t\tv[677,12] = 4127\n\t\tv[678,12] = 7147\n\t\tv[679,12] = 35\n\t\tv[680,12] = 3549\n\t\tv[681,12] = 395\n\t\tv[682,12] = 3735\n\t\tv[683,12] = 5787\n\t\tv[684,12] = 4179\n\t\tv[685,12] = 5889\n\t\tv[686,12] = 5057\n\t\tv[687,12] = 7473\n\t\tv[688,12] = 4713\n\t\tv[689,12] = 2133\n\t\tv[690,12] = 2897\n\t\tv[691,12] = 1841\n\t\tv[692,12] = 2125\n\t\tv[693,12] = 1029\n\t\tv[694,12] = 1695\n\t\tv[695,12] = 6523\n\t\tv[696,12] = 1143\n\t\tv[697,12] = 5105\n\t\tv[698,12] = 7133\n\t\tv[699,12] = 3351\n\t\tv[700,12] = 2775\n\t\tv[701,12] = 3971\n\t\tv[702,12] = 4503\n\t\tv[703,12] = 7589\n\t\tv[704,12] = 5155\n\t\tv[705,12] = 4305\n\t\tv[706,12] = 1641\n\t\tv[707,12] = 4717\n\t\tv[708,12] = 2427\n\t\tv[709,12] = 5617\n\t\tv[710,12] = 1267\n\t\tv[711,12] = 399\n\t\tv[712,12] = 5831\n\t\tv[713,12] = 4305\n\t\tv[714,12] = 4241\n\t\tv[715,12] = 3395\n\t\tv[716,12] = 3045\n\t\tv[717,12] = 4899\n\t\tv[718,12] = 1713\n\t\tv[719,12] = 171\n\t\tv[720,12] = 411\n\t\tv[721,12] = 7099\n\t\tv[722,12] = 5473\n\t\tv[723,12] = 5209\n\t\tv[724,12] = 1195\n\t\tv[725,12] = 1077\n\t\tv[726,12] = 1309\n\t\tv[727,12] = 2953\n\t\tv[728,12] = 7343\n\t\tv[729,12] = 4887\n\t\tv[730,12] = 3229\n\t\tv[731,12] = 6759\n\t\tv[732,12] = 6721\n\t\tv[733,12] = 6775\n\t\tv[734,12] = 675\n\t\tv[735,12] = 4039\n\t\tv[736,12] = 2493\n\t\tv[737,12] = 7511\n\t\tv[738,12] = 3269\n\t\tv[739,12] = 4199\n\t\tv[740,12] = 6625\n\t\tv[741,12] = 7943\n\t\tv[742,12] = 2013\n\t\tv[743,12] = 4145\n\t\tv[744,12] = 667\n\t\tv[745,12] = 513\n\t\tv[746,12] = 2303\n\t\tv[747,12] = 4591\n\t\tv[748,12] = 7941\n\t\tv[749,12] = 2741\n\t\tv[750,12] = 987\n\t\tv[751,12] = 8061\n\t\tv[752,12] = 3161\n\t\tv[753,12] = 5951\n\t\tv[754,12] = 1431\n\t\tv[755,12] = 831\n\t\tv[756,12] = 5559\n\t\tv[757,12] = 7405\n\t\tv[758,12] = 1357\n\t\tv[759,12] = 4319\n\t\tv[760,12] = 4235\n\t\tv[761,12] = 5421\n\t\tv[762,12] = 2559\n\t\tv[763,12] = 4415\n\t\tv[764,12] = 2439\n\t\tv[765,12] = 823\n\t\tv[766,12] = 1725\n\t\tv[767,12] = 6219\n\t\tv[768,12] = 4903\n\t\tv[769,12] = 6699\n\t\tv[770,12] = 5451\n\t\tv[771,12] = 349\n\t\tv[772,12] = 7703\n\t\tv[773,12] = 2927\n\t\tv[774,12] = 7809\n\t\tv[775,12] = 6179\n\t\tv[776,12] = 1417\n\t\tv[777,12] = 5987\n\t\tv[778,12] = 3017\n\t\tv[779,12] = 4983\n\t\tv[780,12] = 3479\n\t\tv[781,12] = 4525\n\t\tv[782,12] = 4643\n\t\tv[783,12] = 4911\n\t\tv[784,12] = 227\n\t\tv[785,12] = 5475\n\t\tv[786,12] = 2287\n\t\tv[787,12] = 5581\n\t\tv[788,12] = 6817\n\t\tv[789,12] = 1937\n\t\tv[790,12] = 1421\n\t\tv[791,12] = 4415\n\t\tv[792,12] = 7977\n\t\tv[793,12] = 1789\n\t\tv[794,12] = 3907\n\t\tv[795,12] = 6815\n\t\tv[796,12] = 6789\n\t\tv[797,12] = 6003\n\t\tv[798,12] = 5609\n\t\tv[799,12] = 4507\n\t\tv[800,12] = 337\n\t\tv[801,12] = 7427\n\t\tv[802,12] = 7943\n\t\tv[803,12] = 3075\n\t\tv[804,12] = 6427\n\t\tv[805,12] = 1019\n\t\tv[806,12] = 7121\n\t\tv[807,12] = 4763\n\t\tv[808,12] = 81\n\t\tv[809,12] = 3587\n\t\tv[810,12] = 2929\n\t\tv[811,12] = 1795\n\t\tv[812,12] = 8067\n\t\tv[813,12] = 2415\n\t\tv[814,12] = 1265\n\t\tv[815,12] = 4025\n\t\tv[816,12] = 5599\n\t\tv[817,12] = 4771\n\t\tv[818,12] = 3025\n\t\tv[819,12] = 2313\n\t\tv[820,12] = 6129\n\t\tv[821,12] = 7611\n\t\tv[822,12] = 6881\n\t\tv[823,12] = 5253\n\t\tv[824,12] = 4413\n\t\tv[825,12] = 7869\n\t\tv[826,12] = 105\n\t\tv[827,12] = 3173\n\t\tv[828,12] = 1629\n\t\tv[829,12] = 2537\n\t\tv[830,12] = 1023\n\t\tv[831,12] = 4409\n\t\tv[832,12] = 7209\n\t\tv[833,12] = 4413\n\t\tv[834,12] = 7107\n\t\tv[835,12] = 7469\n\t\tv[836,12] = 33\n\t\tv[837,12] = 1955\n\t\tv[838,12] = 2881\n\t\tv[839,12] = 5167\n\t\tv[840,12] = 6451\n\t\tv[841,12] = 4211\n\t\tv[842,12] = 179\n\t\tv[843,12] = 5573\n\t\tv[844,12] = 7879\n\t\tv[845,12] = 3387\n\t\tv[846,12] = 7759\n\t\tv[847,12] = 5455\n\t\tv[848,12] = 7157\n\t\tv[849,12] = 1891\n\t\tv[850,12] = 5683\n\t\tv[851,12] = 5689\n\t\tv[852,12] = 6535\n\t\tv[853,12] = 3109\n\t\tv[854,12] = 6555\n\t\tv[855,12] = 6873\n\t\tv[856,12] = 1249\n\t\tv[857,12] = 4251\n\t\tv[858,12] = 6437\n\t\tv[859,12] = 49\n\t\tv[860,12] = 2745\n\t\tv[861,12] = 1201\n\t\tv[862,12] = 7327\n\t\tv[863,12] = 4179\n\t\tv[864,12] = 6783\n\t\tv[865,12] = 623\n\t\tv[866,12] = 2779\n\t\tv[867,12] = 5963\n\t\tv[868,12] = 2585\n\t\tv[869,12] = 6927\n\t\tv[870,12] = 5333\n\t\tv[871,12] = 4033\n\t\tv[872,12] = 285\n\t\tv[873,12] = 7467\n\t\tv[874,12] = 4443\n\t\tv[875,12] = 4917\n\t\tv[876,12] = 3\n\t\tv[877,12] = 4319\n\t\tv[878,12] = 5517\n\t\tv[879,12] = 3449\n\t\tv[880,12] = 813\n\t\tv[881,12] = 5499\n\t\tv[882,12] = 2515\n\t\tv[883,12] = 5771\n\t\tv[884,12] = 3357\n\t\tv[885,12] = 2073\n\t\tv[886,12] = 4395\n\t\tv[887,12] = 4925\n\t\tv[888,12] = 2643\n\t\tv[889,12] = 7215\n\t\tv[890,12] = 5817\n\t\tv[891,12] = 1199\n\t\tv[892,12] = 1597\n\t\tv[893,12] = 1619\n\t\tv[894,12] = 7535\n\t\tv[895,12] = 4833\n\t\tv[896,12] = 609\n\t\tv[897,12] = 4797\n\t\tv[898,12] = 8171\n\t\tv[899,12] = 6847\n\t\tv[900,12] = 793\n\t\tv[901,12] = 6757\n\t\tv[902,12] = 8165\n\t\tv[903,12] = 3371\n\t\tv[904,12] = 2431\n\t\tv[905,12] = 5235\n\t\tv[906,12] = 4739\n\t\tv[907,12] = 7703\n\t\tv[908,12] = 7223\n\t\tv[909,12] = 6525\n\t\tv[910,12] = 5891\n\t\tv[911,12] = 5605\n\t\tv[912,12] = 4433\n\t\tv[913,12] = 3533\n\t\tv[914,12] = 5267\n\t\tv[915,12] = 5125\n\t\tv[916,12] = 5037\n\t\tv[917,12] = 225\n\t\tv[918,12] = 6717\n\t\tv[919,12] = 1121\n\t\tv[920,12] = 5741\n\t\tv[921,12] = 2013\n\t\tv[922,12] = 4327\n\t\tv[923,12] = 4839\n\t\tv[924,12] = 569\n\t\tv[925,12] = 5227\n\t\tv[926,12] = 7677\n\t\tv[927,12] = 4315\n\t\tv[928,12] = 2391\n\t\tv[929,12] = 5551\n\t\tv[930,12] = 859\n\t\tv[931,12] = 3627\n\t\tv[932,12] = 6377\n\t\tv[933,12] = 3903\n\t\tv[934,12] = 4311\n\t\tv[935,12] = 6527\n\t\tv[936,12] = 7573\n\t\tv[937,12] = 4905\n\t\tv[938,12] = 7731\n\t\tv[939,12] = 1909\n\t\tv[940,12] = 1555\n\t\tv[941,12] = 3279\n\t\tv[942,12] = 1949\n\t\tv[943,12] = 1887\n\t\tv[944,12] = 6675\n\t\tv[945,12] = 5509\n\t\tv[946,12] = 2033\n\t\tv[947,12] = 5473\n\t\tv[948,12] = 3539\n\t\tv[949,12] = 5033\n\t\tv[950,12] = 5935\n\t\tv[951,12] = 6095\n\t\tv[952,12] = 4761\n\t\tv[953,12] = 1771\n\t\tv[954,12] = 1271\n\t\tv[955,12] = 1717\n\t\tv[956,12] = 4415\n\t\tv[957,12] = 5083\n\t\tv[958,12] = 6277\n\t\tv[959,12] = 3147\n\t\tv[960,12] = 7695\n\t\tv[961,12] = 2461\n\t\tv[962,12] = 4783\n\t\tv[963,12] = 4539\n\t\tv[964,12] = 5833\n\t\tv[965,12] = 5583\n\t\tv[966,12] = 651\n\t\tv[967,12] = 1419\n\t\tv[968,12] = 2605\n\t\tv[969,12] = 5511\n\t\tv[970,12] = 3913\n\t\tv[971,12] = 5795\n\t\tv[972,12] = 2333\n\t\tv[973,12] = 2329\n\t\tv[974,12] = 4431\n\t\tv[975,12] = 3725\n\t\tv[976,12] = 6069\n\t\tv[977,12] = 2699\n\t\tv[978,12] = 7055\n\t\tv[979,12] = 6879\n\t\tv[980,12] = 1017\n\t\tv[981,12] = 3121\n\t\tv[982,12] = 2547\n\t\tv[983,12] = 4603\n\t\tv[984,12] = 2385\n\t\tv[985,12] = 6915\n\t\tv[986,12] = 6103\n\t\tv[987,12] = 5669\n\t\tv[988,12] = 7833\n\t\tv[989,12] = 2001\n\t\tv[990,12] = 4287\n\t\tv[991,12] = 6619\n\t\tv[992,12] = 955\n\t\tv[993,12] = 2761\n\t\tv[994,12] = 5711\n\t\tv[995,12] = 6291\n\t\tv[996,12] = 3415\n\t\tv[997,12] = 3909\n\t\tv[998,12] = 2841\n\t\tv[999,12] = 5627\n\t\tv[1000,12] = 4939\n\t\tv[1001,12] = 7671\n\t\tv[1002,12] = 6059\n\t\tv[1003,12] = 6275\n\t\tv[1004,12] = 6517\n\t\tv[1005,12] = 1931\n\t\tv[1006,12] = 4583\n\t\tv[1007,12] = 7301\n\t\tv[1008,12] = 1267\n\t\tv[1009,12] = 7509\n\t\tv[1010,12] = 1435\n\t\tv[1011,12] = 2169\n\t\tv[1012,12] = 6939\n\t\tv[1013,12] = 3515\n\t\tv[1014,12] = 2985\n\t\tv[1015,12] = 2787\n\t\tv[1016,12] = 2123\n\t\tv[1017,12] = 1969\n\t\tv[1018,12] = 3307\n\t\tv[1019,12] = 353\n\t\tv[1020,12] = 4359\n\t\tv[1021,12] = 7059\n\t\tv[1022,12] = 5273\n\t\tv[1023,12] = 5873\n\t\tv[1024,12] = 6657\n\t\tv[1025,12] = 6765\n\t\tv[1026,12] = 6229\n\t\tv[1027,12] = 3179\n\t\tv[1028,12] = 1583\n\t\tv[1029,12] = 6237\n\t\tv[1030,12] = 2155\n\t\tv[1031,12] = 371\n\t\tv[1032,12] = 273\n\t\tv[1033,12] = 7491\n\t\tv[1034,12] = 3309\n\t\tv[1035,12] = 6805\n\t\tv[1036,12] = 3015\n\t\tv[1037,12] = 6831\n\t\tv[1038,12] = 7819\n\t\tv[1039,12] = 713\n\t\tv[1040,12] = 4747\n\t\tv[1041,12] = 3935\n\t\tv[1042,12] = 4109\n\t\tv[1043,12] = 1311\n\t\tv[1044,12] = 709\n\t\tv[1045,12] = 3089\n\t\tv[1046,12] = 7059\n\t\tv[1047,12] = 4247\n\t\tv[1048,12] = 2989\n\t\tv[1049,12] = 1509\n\t\tv[1050,12] = 4919\n\t\tv[1051,12] = 1841\n\t\tv[1052,12] = 3045\n\t\tv[1053,12] = 3821\n\t\tv[1054,12] = 6929\n\t\tv[1055,12] = 4655\n\t\tv[1056,12] = 1333\n\t\tv[1057,12] = 6429\n\t\tv[1058,12] = 6649\n\t\tv[1059,12] = 2131\n\t\tv[1060,12] = 5265\n\t\tv[1061,12] = 1051\n\t\tv[1062,12] = 261\n\t\tv[1063,12] = 8057\n\t\tv[1064,12] = 3379\n\t\tv[1065,12] = 2179\n\t\tv[1066,12] = 1993\n\t\tv[1067,12] = 5655\n\t\tv[1068,12] = 3063\n\t\tv[1069,12] = 6381\n\t\tv[1070,12] = 3587\n\t\tv[1071,12] = 7417\n\t\tv[1072,12] = 1579\n\t\tv[1073,12] = 1541\n\t\tv[1074,12] = 2107\n\t\tv[1075,12] = 5085\n\t\tv[1076,12] = 2873\n\t\tv[1077,12] = 6141\n\t\tv[1078,12] = 955\n\t\tv[1079,12] = 3537\n\t\tv[1080,12] = 2157\n\t\tv[1081,12] = 841\n\t\tv[1082,12] = 1999\n\t\tv[1083,12] = 1465\n\t\tv[1084,12] = 5171\n\t\tv[1085,12] = 5651\n\t\tv[1086,12] = 1535\n\t\tv[1087,12] = 7235\n\t\tv[1088,12] = 4349\n\t\tv[1089,12] = 1263\n\t\tv[1090,12] = 1453\n\t\tv[1091,12] = 1005\n\t\tv[1092,12] = 6893\n\t\tv[1093,12] = 2919\n\t\tv[1094,12] = 1947\n\t\tv[1095,12] = 1635\n\t\tv[1096,12] = 3963\n\t\tv[1097,12] = 397\n\t\tv[1098,12] = 969\n\t\tv[1099,12] = 4569\n\t\tv[1100,12] = 655\n\t\tv[1101,12] = 6737\n\t\tv[1102,12] = 2995\n\t\tv[1103,12] = 7235\n\t\tv[1104,12] = 7713\n\t\tv[1105,12] = 973\n\t\tv[1106,12] = 4821\n\t\tv[1107,12] = 2377\n\t\tv[1108,12] = 1673\n\t\tv[1109,12] = 1\n\t\tv[1110,12] = 6541\n\n# \t\tv[0:40,0] = transpose([ \\\n# \t\t\t1, 1, 1, 1, 1, 1, 1, 1, 1, 1, \\\n# \t\t\t1, 1, 1, 1, 1, 1, 1, 1, 1, 1, \\\n# \t\t\t1, 1, 1, 1, 1, 1, 1, 1, 1, 1, \\\n# \t\t\t1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ])\n\n# \t\tv[2:40,1] = transpose([ \\\n# \t\t\t1, 3, 1, 3, 1, 3, 3, 1, \\\n# \t\t\t3, 1, 3, 1, 3, 1, 1, 3, 1, 3, \\\n# \t\t\t1, 3, 1, 3, 3, 1, 3, 1, 3, 1, \\\n# \t\t\t3, 1, 1, 3, 1, 3, 1, 3, 1, 3 ])\n\n# \t\tv[3:40,2] = transpose([ \\\n# \t\t\t7, 5, 1, 3, 3, 7, 5, \\\n# \t\t\t5, 7, 7, 1, 3, 3, 7, 5, 1, 1, \\\n# \t\t\t5, 3, 3, 1, 7, 5, 1, 3, 3, 7, \\\n# \t\t\t5, 1, 1, 5, 7, 7, 5, 1, 3, 3 ])\n\n# \t\tv[5:40,3] = transpose([ \\\n# \t\t\t1, 7, 9,13,11, \\\n# \t\t\t1, 3, 7, 9, 5,13,13,11, 3,15, \\\n# \t\t\t5, 3,15, 7, 9,13, 9, 1,11, 7, \\\n# \t\t\t5,15, 1,15,11, 5, 3, 1, 7, 9 ])\n\t\n# \t\tv[7:40,4] = transpose([ \\\n# \t\t\t9, 3,27, \\\n# \t\t\t15,29,21,23,19,11,25, 7,13,17, \\\n# \t\t\t1,25,29, 3,31,11, 5,23,27,19, \\\n# \t\t\t21, 5, 1,17,13, 7,15, 9,31, 9 ])\n\n# \t\tv[13:40,5] = transpose([ \\\n# \t\t\t\t\t\t\t37,33, 7, 5,11,39,63, \\\n# \t\t 27,17,15,23,29, 3,21,13,31,25, \\\n# \t\t\t9,49,33,19,29,11,19,27,15,25 ])\n\n# \t\tv[19:40,6] = transpose([ \\\n# \t\t\t13, \\\n# \t\t\t33,115, 41, 79, 17, 29,119, 75, 73,105, \\\n# \t\t\t7, 59, 65, 21,\t3,113, 61, 89, 45,107 ])\n\n# \t\tv[37:40,7] = transpose([ \\\n# \t\t\t7, 23, 39 ])\n#\n#\tSet POLY.\n#\n\t\tpoly= [ \\\n\t\t\t1,\t 3,\t 7,\t11,\t13,\t19,\t25,\t37,\t59,\t47, \\\n\t\t\t61,\t55,\t41,\t67,\t97,\t91, 109, 103, 115, 131, \\\n\t\t\t193, 137, 145, 143, 241, 157, 185, 167, 229, 171, \\\n\t\t\t213, 191, 253, 203, 211, 239, 247, 285, 369, 299 ]\n\n\t\tpoly = [\\\n\t\t\t1,    3,    7,   11,   13,   19,   25,   37,   59,   47,\n\t\t\t61,   55,   41,   67,   97,   91,  109,  103,  115,  131,\n\t\t\t193,  137,  145,  143,  241,  157,  185,  167,  229,  171,\n\t\t\t213,  191,  253,  203,  211,  239,  247,  285,  369,  299,\n\t\t\t301,  333,  351,  355,  357,  361,  391,  397,  425,  451,\n\t\t\t463,  487,  501,  529,  539,  545,  557,  563,  601,  607,\n\t\t\t617,  623,  631,  637,  647,  661,  675,  677,  687,  695, \n\t\t\t701,  719,  721,  731,  757,  761,  787,  789,  799,  803,\n\t\t\t817,  827,  847,  859,  865,  875,  877,  883,  895,  901,\n\t\t\t911,  949,  953,  967,  971,  973,  981,  985,  995, 1001,\n\t\t\t1019, 1033, 1051, 1063, 1069, 1125, 1135, 1153, 1163, 1221,\n\t\t\t1239, 1255, 1267, 1279, 1293, 1305, 1315, 1329, 1341, 1347,\n\t\t\t1367, 1387, 1413, 1423, 1431, 1441, 1479, 1509, 1527, 1531,\n\t\t\t1555, 1557, 1573, 1591, 1603, 1615, 1627, 1657, 1663, 1673, \n\t\t\t1717, 1729, 1747, 1759, 1789, 1815, 1821, 1825, 1849, 1863,\n\t\t\t1869, 1877, 1881, 1891, 1917, 1933, 1939, 1969, 2011, 2035,\n\t\t\t2041, 2053, 2071, 2091, 2093, 2119, 2147, 2149, 2161, 2171,\n\t\t\t2189, 2197, 2207, 2217, 2225, 2255, 2257, 2273, 2279, 2283,\n\t\t\t2293, 2317, 2323, 2341, 2345, 2363, 2365, 2373, 2377, 2385,\n\t\t\t2395, 2419, 2421, 2431, 2435, 2447, 2475, 2477, 2489, 2503, \n\t\t\t2521, 2533, 2551, 2561, 2567, 2579, 2581, 2601, 2633, 2657,\n\t\t\t2669, 2681, 2687, 2693, 2705, 2717, 2727, 2731, 2739, 2741,\n\t\t\t2773, 2783, 2793, 2799, 2801, 2811, 2819, 2825, 2833, 2867,\n\t\t\t2879, 2881, 2891, 2905, 2911, 2917, 2927, 2941, 2951, 2955,\n\t\t\t2963, 2965, 2991, 2999, 3005, 3017, 3035, 3037, 3047, 3053,\n\t\t\t3083, 3085, 3097, 3103, 3159, 3169, 3179, 3187, 3205, 3209,\n\t\t\t3223, 3227, 3229, 3251, 3263, 3271, 3277, 3283, 3285, 3299,\n\t\t\t3305, 3319, 3331, 3343, 3357, 3367, 3373, 3393, 3399, 3413,\n\t\t\t3417, 3427, 3439, 3441, 3475, 3487, 3497, 3515, 3517, 3529,\n\t\t\t3543, 3547, 3553, 3559, 3573, 3589, 3613, 3617, 3623, 3627,\n\t\t\t3635, 3641, 3655, 3659, 3669, 3679, 3697, 3707, 3709, 3713,\n\t\t\t3731, 3743, 3747, 3771, 3791, 3805, 3827, 3833, 3851, 3865,\n\t\t\t3889, 3895, 3933, 3947, 3949, 3957, 3971, 3985, 3991, 3995,\n\t\t\t4007, 4013, 4021, 4045, 4051, 4069, 4073, 4179, 4201, 4219,\n\t\t\t4221, 4249, 4305, 4331, 4359, 4383, 4387, 4411, 4431, 4439,\n\t\t\t4449, 4459, 4485, 4531, 4569, 4575, 4621, 4663, 4669, 4711,\n\t\t\t4723, 4735, 4793, 4801, 4811, 4879, 4893, 4897, 4921, 4927,\n\t\t\t4941, 4977, 5017, 5027, 5033, 5127, 5169, 5175, 5199, 5213,\n\t\t\t5223, 5237, 5287, 5293, 5331, 5391, 5405, 5453, 5523, 5573,\n\t\t\t5591, 5597, 5611, 5641, 5703, 5717, 5721, 5797, 5821, 5909,\n\t\t\t5913, 5955, 5957, 6005, 6025, 6061, 6067, 6079, 6081, 6231,\n\t\t\t6237, 6289, 6295, 6329, 6383, 6427, 6453, 6465, 6501, 6523,\n\t\t\t6539, 6577, 6589, 6601, 6607, 6631, 6683, 6699, 6707, 6761,\n\t\t\t6795, 6865, 6881, 6901, 6923, 6931, 6943, 6999, 7057, 7079,\n\t\t\t7103, 7105, 7123, 7173, 7185, 7191, 7207, 7245, 7303, 7327, \n\t\t\t7333, 7355, 7365, 7369, 7375, 7411, 7431, 7459, 7491, 7505, \n\t\t\t7515, 7541, 7557, 7561, 7701, 7705, 7727, 7749, 7761, 7783,\n\t\t\t7795, 7823, 7907, 7953, 7963, 7975, 8049, 8089, 8123, 8125,\n\t\t\t8137, 8219, 8231, 8245, 8275, 8293, 8303, 8331, 8333, 8351,\n\t\t\t8357, 8367, 8379, 8381, 8387, 8393, 8417, 8435, 8461, 8469,\n\t\t\t8489, 8495, 8507, 8515, 8551, 8555, 8569, 8585, 8599, 8605,\n\t\t\t8639, 8641, 8647, 8653, 8671, 8675, 8689, 8699, 8729, 8741,\n\t\t\t8759, 8765, 8771, 8795, 8797, 8825, 8831, 8841, 8855, 8859,\n\t\t\t8883, 8895, 8909, 8943, 8951, 8955, 8965, 8999, 9003, 9031,\n\t\t\t9045, 9049, 9071, 9073, 9085, 9095, 9101, 9109, 9123, 9129,\n\t\t\t9137, 9143, 9147, 9185, 9197, 9209, 9227, 9235, 9247, 9253,\n\t\t\t9257, 9277, 9297, 9303, 9313, 9325, 9343, 9347, 9371, 9373,\n\t\t\t9397, 9407, 9409, 9415, 9419, 9443, 9481, 9495, 9501, 9505,\n\t\t\t9517, 9529, 9555, 9557, 9571, 9585, 9591, 9607, 9611, 9621,\n\t\t\t9625, 9631, 9647, 9661, 9669, 9679, 9687, 9707, 9731, 9733,\n\t\t\t9745, 9773, 9791, 9803, 9811, 9817, 9833, 9847, 9851, 9863,\n\t\t\t9875, 9881, 9905, 9911, 9917, 9923, 9963, 9973,10003,10025,\n\t\t\t10043,10063,10071,10077,10091,10099,10105,10115,10129,10145,\n\t\t\t10169,10183,10187,10207,10223,10225,10247,10265,10271,10275,\n\t\t\t10289,10299,10301,10309,10343,10357,10373,10411,10413,10431,\n\t\t\t10445,10453,10463,10467,10473,10491,10505,10511,10513,10523,\n\t\t\t10539,10549,10559,10561,10571,10581,10615,10621,10625,10643,\n\t\t\t10655,10671,10679,10685,10691,10711,10739,10741,10755,10767,\n\t\t\t10781,10785,10803,10805,10829,10857,10863,10865,10875,10877,\n\t\t\t10917,10921,10929,10949,10967,10971,10987,10995,11009,11029,\n\t\t\t11043,11045,11055,11063,11075,11081,11117,11135,11141,11159,\n\t\t\t11163,11181,11187,11225,11237,11261,11279,11297,11307,11309,\n\t\t\t11327,11329,11341,11377,11403,11405,11413,11427,11439,11453,\n\t\t\t11461,11473,11479,11489,11495,11499,11533,11545,11561,11567,\n\t\t\t11575,11579,11589,11611,11623,11637,11657,11663,11687,11691,\n\t\t\t11701,11747,11761,11773,11783,11795,11797,11817,11849,11855,\n\t\t\t11867,11869,11873,11883,11919,11921,11927,11933,11947,11955,\n\t\t\t11961,11999,12027,12029,12037,12041,12049,12055,12095,12097,\n\t\t\t12107,12109,12121,12127,12133,12137,12181,12197,12207,12209,\n\t\t\t12239,12253,12263,12269,12277,12287,12295,12309,12313,12335,\n\t\t\t12361,12367,12391,12409,12415,12433,12449,12469,12479,12481,\n\t\t\t12499,12505,12517,12527,12549,12559,12597,12615,12621,12639,\n\t\t\t12643,12657,12667,12707,12713,12727,12741,12745,12763,12769,\n\t\t\t12779,12781,12787,12799,12809,12815,12829,12839,12857,12875,\n\t\t\t12883,12889,12901,12929,12947,12953,12959,12969,12983,12987,\n\t\t\t12995,13015,13019,13031,13063,13077,13103,13137,13149,13173,\n\t\t\t13207,13211,13227,13241,13249,13255,13269,13283,13285,13303,\n\t\t\t13307,13321,13339,13351,13377,13389,13407,13417,13431,13435,\n\t\t\t13447,13459,13465,13477,13501,13513,13531,13543,13561,13581,\n\t\t\t13599,13605,13617,13623,13637,13647,13661,13677,13683,13695,\n\t\t\t13725,13729,13753,13773,13781,13785,13795,13801,13807,13825,\n\t\t\t13835,13855,13861,13871,13883,13897,13905,13915,13939,13941,\n\t\t\t13969,13979,13981,13997,14027,14035,14037,14051,14063,14085,\n\t\t\t14095,14107,14113,14125,14137,14145,14151,14163,14193,14199,\n\t\t\t14219,14229,14233,14243,14277,14287,14289,14295,14301,14305,\n\t\t\t14323,14339,14341,14359,14365,14375,14387,14411,14425,14441,\n\t\t\t14449,14499,14513,14523,14537,14543,14561,14579,14585,14593,\n\t\t\t14599,14603,14611,14641,14671,14695,14701,14723,14725,14743,\n\t\t\t14753,14759,14765,14795,14797,14803,14831,14839,14845,14855,\n\t\t\t14889,14895,14909,14929,14941,14945,14951,14963,14965,14985,\n\t\t\t15033,15039,15053,15059,15061,15071,15077,15081,15099,15121,\n\t\t\t15147,15149,15157,15167,15187,15193,15203,15205,15215,15217,\n\t\t\t15223,15243,15257,15269,15273,15287,15291,15313,15335,15347,\n\t\t\t15359,15373,15379,15381,15391,15395,15397,15419,15439,15453,\n\t\t\t15469,15491,15503,15517,15527,15531,15545,15559,15593,15611,\n\t\t\t15613,15619,15639,15643,15649,15661,15667,15669,15681,15693,\n\t\t\t15717,15721,15741,15745,15765,15793,15799,15811,15825,15835,\n\t\t\t15847,15851,15865,15877,15881,15887,15899,15915,15935,15937,\n\t\t\t15955,15973,15977,16011,16035,16061,16069,16087,16093,16097,\n\t\t\t16121,16141,16153,16159,16165,16183,16189,16195,16197,16201,\n\t\t\t16209,16215,16225,16259,16265,16273,16299,16309,16355,16375,\n\t\t\t16381]\n\t\tatmost = 2**log_max - 1\n#\n#\tFind the number of bits in ATMOST.\n#\n\t\tmaxcol = i4_bit_hi1 ( atmost )\n#\n#\tInitialize row 1 of V.\n#\n\t\tv[0,0:maxcol] = 1\n\n#\n#\tThings to do only if the dimension changed.\n#\n\tif ( dim_num != dim_num_save ):\n#\n#\tCheck parameters.\n#\n\t\tif ( dim_num < 1 or dim_max < dim_num ):\n\t\t\tprint('I4_SOBOL - Fatal error!' )\n\t\t\tprint('\tThe spatial dimension DIM_NUM should satisfy:')\n\t\t\tprint('\t\t1 <= DIM_NUM <= %d'%dim_max)\n\t\t\tprint('\tBut this input value is DIM_NUM = %d'%dim_num)\n\t\t\treturn\n\n\t\tdim_num_save = dim_num\n#\n#\tInitialize the remaining rows of V.\n#\n\t\tfor i in range(2 , dim_num+1):\n#\n#\tThe bits of the integer POLY(I) gives the form of polynomial I.\n#\n#\tFind the degree of polynomial I from binary encoding.\n#\n\t\t\tj = poly[i-1]\n\t\t\tm = 0\n\t\t\twhile ( 1 ):\n\t\t\t\tj = math.floor ( j / 2. )\n\t\t\t\tif ( j <= 0 ):\n\t\t\t\t\tbreak\n\t\t\t\tm = m + 1\n#\n#\tExpand this bit pattern to separate components of the logical array INCLUD.\n#\n\t\t\tj = poly[i-1]\n\t\t\tinclud=zeros(m)\n\t\t\tfor k in range(m, 0, -1):\n\t\t\t\tj2 = math.floor ( j / 2. )\n\t\t\t\tinclud[k-1] =  (j != 2 * j2 )\n\t\t\t\tj = j2\n#\n#\tCalculate the remaining elements of row I as explained\n#\tin Bratley and Fox, section 2.\n#\n\t\t\tfor j in range( m+1, maxcol+1 ):\n\t\t\t\tnewv = v[i-1,j-m-1]\n\t\t\t\tl = 1\n\t\t\t\tfor k in range(1, m+1):\n\t\t\t\t\tl = 2 * l\n\t\t\t\t\tif ( includ[k-1] ):\n\t\t\t\t\t\tnewv = bitwise_xor ( int(newv), int(l * v[i-1,j-k-1]) )\n\t\t\t\tv[i-1,j-1] = newv\n#\n#\tMultiply columns of V by appropriate power of 2.\n#\n\t\tl = 1\n\t\tfor j in range( maxcol-1, 0, -1):\n\t\t\tl = 2 * l\n\t\t\tv[0:dim_num,j-1] = v[0:dim_num,j-1] * l\n#\n#\tRECIPD is 1/(common denominator of the elements in V).\n#\n\t\trecipd = 1.0 / ( 2 * l )\n\t\tlastq=zeros(dim_num)\n\n\tseed = int(math.floor ( seed ))\n\n\tif ( seed < 0 ):\n\t\tseed = 0\n\n\tif ( seed == 0 ):\n\t\tl = 1\n\t\tlastq=zeros(dim_num)\n\n\telif ( seed == seed_save + 1 ):\n#\n#\tFind the position of the right-hand zero in SEED.\n#\n\t\tl = i4_bit_lo0 ( seed )\n\n\telif ( seed <= seed_save ):\n\n\t\tseed_save = 0\n\t\tl = 1\n\t\tlastq=zeros(dim_num)\n\n\t\tfor seed_temp in range( int(seed_save), int(seed)):\n\t\t\tl = i4_bit_lo0 ( seed_temp )\n\t\t\tfor i in range(1 , dim_num+1):\n\t\t\t\tlastq[i-1] = bitwise_xor ( int(lastq[i-1]), int(v[i-1,l-1]) )\n\n\t\tl = i4_bit_lo0 ( seed )\n\n\telif ( seed_save + 1 < seed ):\n\n\t\tfor seed_temp in range( int(seed_save + 1), int(seed) ):\n\t\t\tl = i4_bit_lo0 ( seed_temp )\n\t\t\tfor i in range(1, dim_num+1):\n\t\t\t\tlastq[i-1] = bitwise_xor ( int(lastq[i-1]), int(v[i-1,l-1]) )\n\n\t\tl = i4_bit_lo0 ( seed )\n#\n#\tCheck that the user is not calling too many times!\n#\n\tif ( maxcol < l ):\n\t\tprint('I4_SOBOL - Fatal error!')\n\t\tprint('\tToo many calls!')\n\t\tprint('\tMAXCOL = %d\\n'%maxcol)\n\t\tprint('\tL =\t\t\t%d\\n'%l)\n\t\treturn\n#\n#\tCalculate the new components of QUASI.\n#\n\tquasi=zeros(dim_num)\n\tfor i in range( 1, dim_num+1):\n\t\tquasi[i-1] = lastq[i-1] * recipd\n\t\tlastq[i-1] = bitwise_xor ( int(lastq[i-1]), int(v[i-1,l-1]) )\n\n\tseed_save = seed\n\tseed = seed + 1\n\n\treturn [ quasi, seed ]\ndef i4_uniform ( a, b, seed ):\n#*****************************************************************************80\n#\n## I4_UNIFORM returns a scaled pseudorandom I4.\n#\n#\tDiscussion:\n#\n#\t\tThe pseudorandom number will be scaled to be uniformly distributed\n#\t\tbetween A and B.\n#\n#\tLicensing:\n#\n#\t\tThis code is distributed under the GNU LGPL license.\n#\n#\tModified:\n#\n#    \t\t22 February 2011\n#\n#\tAuthor:\n#\n#\t\tOriginal MATLAB version by John Burkardt.\n#\t\tPYTHON version by Corrado Chisari\n#\n#\tReference:\n#\n#\t\tPaul Bratley, Bennett Fox, Linus Schrage,\n#\t\tA Guide to Simulation,\n#\t\tSpringer Verlag, pages 201-202, 1983.\n#\n#\t\tPierre L'Ecuyer,\n#\t\tRandom Number Generation,\n#\t\tin Handbook of Simulation,\n#\t\tedited by Jerry Banks,\n#\t\tWiley Interscience, page 95, 1998.\n#\n#\t\tBennett Fox,\n#\t\tAlgorithm 647:\n#\t\tImplementation and Relative Efficiency of Quasirandom\n#\t\tSequence Generators,\n#\t\tACM Transactions on Mathematical Software,\n#\t\tVolume 12, Number 4, pages 362-376, 1986.\n#\n#\t\tPeter Lewis, Allen Goodman, James Miller\n#\t\tA Pseudo-Random Number Generator for the System/360,\n#\t\tIBM Systems Journal,\n#\t\tVolume 8, pages 136-143, 1969.\n#\n#\tParameters:\n#\n#\t\tInput, integer A, B, the minimum and maximum acceptable values.\n#\n#\t\tInput, integer SEED, a seed for the random number generator.\n#\n#\t\tOutput, integer C, the randomly chosen integer.\n#\n#\t\tOutput, integer SEED, the updated seed.\n#\n\tif ( seed == 0 ):\n\t\tprint('I4_UNIFORM - Fatal error!')\n\t\tprint('\tInput SEED = 0!')\n\n\tseed = math.floor ( seed )\n\ta = round ( a )\n\tb = round ( b )\n\n\tseed = mod ( seed, 2147483647 )\n\n\tif ( seed < 0 ) :\n\t\tseed = seed + 2147483647\n\n\tk = math.floor ( seed / 127773 )\n\n\tseed = 16807 * ( seed - k * 127773 ) - k * 2836\n\n\tif ( seed < 0 ):\n\t\tseed = seed + 2147483647\n\n\tr = seed * 4.656612875E-10\n#\n#\tScale R to lie between A-0.5 and B+0.5.\n#\n\tr = ( 1.0 - r ) * ( min ( a, b ) - 0.5 ) + r * ( max ( a, b ) + 0.5 )\n#\n#\tUse rounding to convert R to an integer between A and B.\n#\n\tvalue = round ( r )\n\n\tvalue = max ( value, min ( a, b ) )\n\tvalue = min ( value, max ( a, b ) )\n\n\tc = value\n\n\treturn [ int(c), int(seed) ]\ndef prime_ge ( n ):\n#*****************************************************************************80\n#\n## PRIME_GE returns the smallest prime greater than or equal to N.\n#\n#\n#\tExample:\n#\n#\t\tN\t\t PRIME_GE\n#\n#\t\t-10\t\t2\n#\t\t\t1\t\t2\n#\t\t\t2\t\t2\n#\t\t\t3\t\t3\n#\t\t\t4\t\t5\n#\t\t\t5\t\t5\n#\t\t\t6\t\t7\n#\t\t\t7\t\t7\n#\t\t\t8\t 11\n#\t\t\t9\t 11\n#\t\t 10\t 11\n#\n#\tLicensing:\n#\n#\t\tThis code is distributed under the GNU LGPL license.\n#\n#\tModified:\n#\n#    \t\t22 February 2011\n#\n#\tAuthor:\n#\n#\t\tOriginal MATLAB version by John Burkardt.\n#\t\tPYTHON version by Corrado Chisari\n#\n#\tParameters:\n#\n#\t\tInput, integer N, the number to be bounded.\n#\n#\t\tOutput, integer P, the smallest prime number that is greater\n#\t\tthan or equal to N.\t\n#\n\tp = max ( math.ceil ( n ), 2 )\n\twhile ( not isprime ( p ) ):\n\t\tp = p + 1\n\n\treturn p\n\ndef isprime(n):\n\t#*****************************************************************************80\n#\n## IS_PRIME returns True if N is a prime number, False otherwise\n#\n#\n#\tLicensing:\n#\n#\t\tThis code is distributed under the GNU LGPL license.\n#\n#\tModified:\n#\n#    \t\t22 February 2011\n#\n#\tAuthor:\n#\n#\t\tCorrado Chisari\n#\n#\tParameters:\n#\n#\t\tInput, integer N, the number to be checked.\n#\n#\t\tOutput, boolean value, True or False\n#\n\tif n!=int(n) or n<1:\n\t\treturn False\n\tp=2\n\twhile p<n:\n\t\tif n%p==0:\n\t\t\treturn False\n\t\tp+=1\n\treturn True\n\t\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/spearmint_pb2.py",
    "content": "# Generated by the protocol buffer compiler.  DO NOT EDIT!\n# source: spearmint.proto\n\nfrom google.protobuf.internal import enum_type_wrapper\nfrom google.protobuf import descriptor as _descriptor\nfrom google.protobuf import message as _message\nfrom google.protobuf import reflection as _reflection\nfrom google.protobuf import descriptor_pb2\n# @@protoc_insertion_point(imports)\n\n\n\n\nDESCRIPTOR = _descriptor.FileDescriptor(\n  name='spearmint.proto',\n  package='',\n  serialized_pb=b'\\n\\x0fspearmint.proto\\\"\\xcc\\x01\\n\\x03Job\\x12\\n\\n\\x02id\\x18\\x01 \\x02(\\x04\\x12\\x10\\n\\x08\\x65xpt_dir\\x18\\x02 \\x02(\\t\\x12\\x0c\\n\\x04name\\x18\\x03 \\x02(\\t\\x12\\x1b\\n\\x08language\\x18\\x04 \\x02(\\x0e\\x32\\t.Language\\x12\\x0e\\n\\x06status\\x18\\x05 \\x01(\\t\\x12\\x19\\n\\x05param\\x18\\x06 \\x03(\\x0b\\x32\\n.Parameter\\x12\\x10\\n\\x08submit_t\\x18\\x07 \\x01(\\x04\\x12\\x0f\\n\\x07start_t\\x18\\x08 \\x01(\\x04\\x12\\r\\n\\x05\\x65nd_t\\x18\\t \\x01(\\x04\\x12\\r\\n\\x05value\\x18\\n \\x01(\\x01\\x12\\x10\\n\\x08\\x64uration\\x18\\x0b \\x01(\\x01\\\"L\\n\\tParameter\\x12\\x0c\\n\\x04name\\x18\\x01 \\x02(\\t\\x12\\x0f\\n\\x07int_val\\x18\\x02 \\x03(\\x03\\x12\\x0f\\n\\x07str_val\\x18\\x03 \\x03(\\t\\x12\\x0f\\n\\x07\\x64\\x62l_val\\x18\\x04 \\x03(\\x01\\\"\\x91\\x02\\n\\nExperiment\\x12\\x1b\\n\\x08language\\x18\\x01 \\x02(\\x0e\\x32\\t.Language\\x12\\x0c\\n\\x04name\\x18\\x02 \\x02(\\t\\x12+\\n\\x08variable\\x18\\x03 \\x03(\\x0b\\x32\\x19.Experiment.ParameterSpec\\x1a\\xaa\\x01\\n\\rParameterSpec\\x12\\x0c\\n\\x04name\\x18\\x01 \\x02(\\t\\x12\\x0c\\n\\x04size\\x18\\x02 \\x02(\\r\\x12,\\n\\x04type\\x18\\x03 \\x02(\\x0e\\x32\\x1e.Experiment.ParameterSpec.Type\\x12\\x0f\\n\\x07options\\x18\\x04 \\x03(\\t\\x12\\x0b\\n\\x03min\\x18\\x05 \\x01(\\x01\\x12\\x0b\\n\\x03max\\x18\\x06 \\x01(\\x01\\\"$\\n\\x04Type\\x12\\x07\\n\\x03INT\\x10\\x01\\x12\\t\\n\\x05\\x46LOAT\\x10\\x02\\x12\\x08\\n\\x04\\x45NUM\\x10\\x03*A\\n\\x08Language\\x12\\n\\n\\x06MATLAB\\x10\\x01\\x12\\n\\n\\x06PYTHON\\x10\\x02\\x12\\t\\n\\x05SHELL\\x10\\x03\\x12\\x07\\n\\x03MCR\\x10\\x04\\x12\\t\\n\\x05TORCH\\x10\\x05')\n\n_LANGUAGE = _descriptor.EnumDescriptor(\n  name='Language',\n  full_name='Language',\n  filename=None,\n  file=DESCRIPTOR,\n  values=[\n    _descriptor.EnumValueDescriptor(\n      name='MATLAB', index=0, number=1,\n      options=None,\n      type=None),\n    _descriptor.EnumValueDescriptor(\n      name='PYTHON', index=1, number=2,\n      options=None,\n      type=None),\n    _descriptor.EnumValueDescriptor(\n      name='SHELL', index=2, number=3,\n      options=None,\n      type=None),\n    _descriptor.EnumValueDescriptor(\n      name='MCR', index=3, number=4,\n      options=None,\n      type=None),\n    _descriptor.EnumValueDescriptor(\n      name='TORCH', index=4, number=5,\n      options=None,\n      type=None),\n  ],\n  containing_type=None,\n  options=None,\n  serialized_start=580,\n  serialized_end=645,\n)\n\nLanguage = enum_type_wrapper.EnumTypeWrapper(_LANGUAGE)\nMATLAB = 1\nPYTHON = 2\nSHELL = 3\nMCR = 4\nTORCH = 5\n\n\n_EXPERIMENT_PARAMETERSPEC_TYPE = _descriptor.EnumDescriptor(\n  name='Type',\n  full_name='Experiment.ParameterSpec.Type',\n  filename=None,\n  file=DESCRIPTOR,\n  values=[\n    _descriptor.EnumValueDescriptor(\n      name='INT', index=0, number=1,\n      options=None,\n      type=None),\n    _descriptor.EnumValueDescriptor(\n      name='FLOAT', index=1, number=2,\n      options=None,\n      type=None),\n    _descriptor.EnumValueDescriptor(\n      name='ENUM', index=2, number=3,\n      options=None,\n      type=None),\n  ],\n  containing_type=None,\n  options=None,\n  serialized_start=542,\n  serialized_end=578,\n)\n\n\n_JOB = _descriptor.Descriptor(\n  name='Job',\n  full_name='Job',\n  filename=None,\n  file=DESCRIPTOR,\n  containing_type=None,\n  fields=[\n    _descriptor.FieldDescriptor(\n      name='id', full_name='Job.id', index=0,\n      number=1, type=4, cpp_type=4, label=2,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='expt_dir', full_name='Job.expt_dir', index=1,\n      number=2, type=9, cpp_type=9, label=2,\n      has_default_value=False, default_value=\"utf-8\",\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='name', full_name='Job.name', index=2,\n      number=3, type=9, cpp_type=9, label=2,\n      has_default_value=False, default_value=\"utf-8\",\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='language', full_name='Job.language', index=3,\n      number=4, type=14, cpp_type=8, label=2,\n      has_default_value=False, default_value=1,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='status', full_name='Job.status', index=4,\n      number=5, type=9, cpp_type=9, label=1,\n      has_default_value=False, default_value=\"utf-8\",\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='param', full_name='Job.param', index=5,\n      number=6, type=11, cpp_type=10, label=3,\n      has_default_value=False, default_value=[],\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='submit_t', full_name='Job.submit_t', index=6,\n      number=7, type=4, cpp_type=4, label=1,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='start_t', full_name='Job.start_t', index=7,\n      number=8, type=4, cpp_type=4, label=1,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='end_t', full_name='Job.end_t', index=8,\n      number=9, type=4, cpp_type=4, label=1,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='value', full_name='Job.value', index=9,\n      number=10, type=1, cpp_type=5, label=1,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='duration', full_name='Job.duration', index=10,\n      number=11, type=1, cpp_type=5, label=1,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n  ],\n  extensions=[\n  ],\n  nested_types=[],\n  enum_types=[\n  ],\n  options=None,\n  is_extendable=False,\n  extension_ranges=[],\n  serialized_start=20,\n  serialized_end=224,\n)\n\n\n_PARAMETER = _descriptor.Descriptor(\n  name='Parameter',\n  full_name='Parameter',\n  filename=None,\n  file=DESCRIPTOR,\n  containing_type=None,\n  fields=[\n    _descriptor.FieldDescriptor(\n      name='name', full_name='Parameter.name', index=0,\n      number=1, type=9, cpp_type=9, label=2,\n      has_default_value=False, default_value=\"utf-8\",\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='int_val', full_name='Parameter.int_val', index=1,\n      number=2, type=3, cpp_type=2, label=3,\n      has_default_value=False, default_value=[],\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='str_val', full_name='Parameter.str_val', index=2,\n      number=3, type=9, cpp_type=9, label=3,\n      has_default_value=False, default_value=[],\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='dbl_val', full_name='Parameter.dbl_val', index=3,\n      number=4, type=1, cpp_type=5, label=3,\n      has_default_value=False, default_value=[],\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n  ],\n  extensions=[\n  ],\n  nested_types=[],\n  enum_types=[\n  ],\n  options=None,\n  is_extendable=False,\n  extension_ranges=[],\n  serialized_start=226,\n  serialized_end=302,\n)\n\n\n_EXPERIMENT_PARAMETERSPEC = _descriptor.Descriptor(\n  name='ParameterSpec',\n  full_name='Experiment.ParameterSpec',\n  filename=None,\n  file=DESCRIPTOR,\n  containing_type=None,\n  fields=[\n    _descriptor.FieldDescriptor(\n      name='name', full_name='Experiment.ParameterSpec.name', index=0,\n      number=1, type=9, cpp_type=9, label=2,\n      has_default_value=False, default_value=\"utf-8\",\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='size', full_name='Experiment.ParameterSpec.size', index=1,\n      number=2, type=13, cpp_type=3, label=2,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='type', full_name='Experiment.ParameterSpec.type', index=2,\n      number=3, type=14, cpp_type=8, label=2,\n      has_default_value=False, default_value=1,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='options', full_name='Experiment.ParameterSpec.options', index=3,\n      number=4, type=9, cpp_type=9, label=3,\n      has_default_value=False, default_value=[],\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='min', full_name='Experiment.ParameterSpec.min', index=4,\n      number=5, type=1, cpp_type=5, label=1,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='max', full_name='Experiment.ParameterSpec.max', index=5,\n      number=6, type=1, cpp_type=5, label=1,\n      has_default_value=False, default_value=0,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n  ],\n  extensions=[\n  ],\n  nested_types=[],\n  enum_types=[\n    _EXPERIMENT_PARAMETERSPEC_TYPE,\n  ],\n  options=None,\n  is_extendable=False,\n  extension_ranges=[],\n  serialized_start=408,\n  serialized_end=578,\n)\n\n_EXPERIMENT = _descriptor.Descriptor(\n  name='Experiment',\n  full_name='Experiment',\n  filename=None,\n  file=DESCRIPTOR,\n  containing_type=None,\n  fields=[\n    _descriptor.FieldDescriptor(\n      name='language', full_name='Experiment.language', index=0,\n      number=1, type=14, cpp_type=8, label=2,\n      has_default_value=False, default_value=1,\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='name', full_name='Experiment.name', index=1,\n      number=2, type=9, cpp_type=9, label=2,\n      has_default_value=False, default_value=\"utf-8\",\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n    _descriptor.FieldDescriptor(\n      name='variable', full_name='Experiment.variable', index=2,\n      number=3, type=11, cpp_type=10, label=3,\n      has_default_value=False, default_value=[],\n      message_type=None, enum_type=None, containing_type=None,\n      is_extension=False, extension_scope=None,\n      options=None),\n  ],\n  extensions=[\n  ],\n  nested_types=[_EXPERIMENT_PARAMETERSPEC, ],\n  enum_types=[\n  ],\n  options=None,\n  is_extendable=False,\n  extension_ranges=[],\n  serialized_start=305,\n  serialized_end=578,\n)\n\n_JOB.fields_by_name['language'].enum_type = _LANGUAGE\n_JOB.fields_by_name['param'].message_type = _PARAMETER\n_EXPERIMENT_PARAMETERSPEC.fields_by_name['type'].enum_type = _EXPERIMENT_PARAMETERSPEC_TYPE\n_EXPERIMENT_PARAMETERSPEC.containing_type = _EXPERIMENT;\n_EXPERIMENT_PARAMETERSPEC_TYPE.containing_type = _EXPERIMENT_PARAMETERSPEC;\n_EXPERIMENT.fields_by_name['language'].enum_type = _LANGUAGE\n_EXPERIMENT.fields_by_name['variable'].message_type = _EXPERIMENT_PARAMETERSPEC\nDESCRIPTOR.message_types_by_name['Job'] = _JOB\nDESCRIPTOR.message_types_by_name['Parameter'] = _PARAMETER\nDESCRIPTOR.message_types_by_name['Experiment'] = _EXPERIMENT\n\nclass Job(_message.Message):\n  __metaclass__ = _reflection.GeneratedProtocolMessageType\n  DESCRIPTOR = _JOB\n\n  # @@protoc_insertion_point(class_scope:Job)\n\nclass Parameter(_message.Message):\n  __metaclass__ = _reflection.GeneratedProtocolMessageType\n  DESCRIPTOR = _PARAMETER\n\n  # @@protoc_insertion_point(class_scope:Parameter)\n\nclass Experiment(_message.Message):\n  __metaclass__ = _reflection.GeneratedProtocolMessageType\n\n  class ParameterSpec(_message.Message):\n    __metaclass__ = _reflection.GeneratedProtocolMessageType\n    DESCRIPTOR = _EXPERIMENT_PARAMETERSPEC\n\n    # @@protoc_insertion_point(class_scope:Experiment.ParameterSpec)\n  DESCRIPTOR = _EXPERIMENT\n\n  # @@protoc_insertion_point(class_scope:Experiment)\n\n\n# @@protoc_insertion_point(module_scope)\n"
  },
  {
    "path": "src/aup/Proposer/spearmint/util.py",
    "content": "##\n# Copyright (C) 2012 Jasper Snoek, Hugo Larochelle and Ryan P. Adams\n# \n# This code is written for research and educational purposes only to \n# supplement the paper entitled\n# \"Practical Bayesian Optimization of Machine Learning Algorithms\"\n# by Snoek, Larochelle and Adams\n# Advances in Neural Information Processing Systems, 2012\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n# \n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n# \n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\nimport re\nimport numpy        as np\nimport numpy.random as npr\n\nimport logging\nlogger = logging.getLogger(__name__)\nlog = logger.debug\n\ndef unpack_args(str):\n    if len(str) > 1:\n        eq_re = re.compile(\"\\s*=\\s*\")\n        return dict(map(lambda x: eq_re.split(x),\n                        re.compile(\"\\s*,\\s*\").split(str)))\n    else:\n        return {}\n\ndef slice_sample(init_x, logprob, sigma=1.0, step_out=True, max_steps_out=1000, \n                 compwise=False, verbose=False):\n    def direction_slice(direction, init_x):\n        def dir_logprob(z):\n            return logprob(direction*z + init_x)\n    \n        upper = sigma*npr.rand()\n        lower = upper - sigma\n        llh_s = np.log(npr.rand()) + dir_logprob(0.0)\n    \n        l_steps_out = 0\n        u_steps_out = 0\n        if step_out:\n            while dir_logprob(lower) > llh_s and l_steps_out < max_steps_out:\n                l_steps_out += 1\n                lower       -= sigma\n            while dir_logprob(upper) > llh_s and u_steps_out < max_steps_out:\n                u_steps_out += 1\n                upper       += sigma\n            \n        steps_in = 0\n        while True:\n            steps_in += 1\n            new_z     = (upper - lower)*npr.rand() + lower\n            new_llh   = dir_logprob(new_z)\n            if np.isnan(new_llh):\n                log(new_z, direction*new_z + init_x, new_llh, llh_s, init_x, logprob(init_x))\n                raise Exception(\"Slice sampler got a NaN\")\n            if new_llh > llh_s:\n                break\n            elif new_z < 0:\n                lower = new_z\n            elif new_z > 0:\n                upper = new_z\n            else:\n                raise Exception(\"Slice sampler shrank to zero!\")\n\n        if verbose:\n            log(\"Steps Out:\", l_steps_out, u_steps_out, \" Steps In:\", steps_in)\n\n        return new_z*direction + init_x\n    \n    if not init_x.shape:\n        init_x = np.array([init_x])\n\n    dims = init_x.shape[0]\n    if compwise:\n        ordering = list(range(dims))\n        npr.shuffle(ordering)\n        cur_x = init_x.copy()\n        for d in ordering:\n            direction    = np.zeros((dims))\n            direction[d] = 1.0\n            cur_x = direction_slice(direction, cur_x)\n        return cur_x\n            \n    else:\n        direction = npr.randn(dims)\n        direction = direction / np.sqrt(np.sum(direction**2))\n        return direction_slice(direction, init_x)\n"
  },
  {
    "path": "src/aup/RestAPI/__init__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\""
  },
  {
    "path": "src/aup/RestAPI/server.py",
    "content": "\"\"\"\nRestAPI server using Flask\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nfrom flask import render_template, jsonify, request\nfrom flask_cors import CORS\nimport connexion\nimport click\nimport logging\nimport sys\nimport sqlite3 as sql\nimport os\nimport os.path\nfrom six.moves.configparser import ConfigParser\nimport json\nimport signal\nimport multiprocessing\n\nfrom aup.compression.utils import SERIALIZATION_SEPARATOR, run_non_automatic_experiment, verify_compression_config, adjust_compression_config\nfrom aup.setup import setup\nfrom aup.utils import get_default_username, set_default_keyvalue\nfrom ..ET.Connector.SQLiteConnector import SQLiteConnector\n\nfrom ..EE.Experiment import Experiment\nfrom ..aup import BasicConfig\nfrom aup.Proposer import get_proposer\n\nfrom threading import Lock\n\nlogger = logging.getLogger(\"RestAPI\")\n\n# Create the application instance\napp = connexion.App(__name__, specification_dir='./')\nCORS(app.app)\n\nEXPS = dict()\nEXPS_lock = Lock()\n\nEXPERIMENT_STATUS_TRANSLATE_DICT = {\n    \"CREATED\": \"CREATED\",\n    \"RUNNING\": \"RUNNING\",\n    \"STOPPED\": \"STOPPED\",\n    \"FINISHED\": \"FINISHED\",\n    \"FAILED\": \"FAILED\",\n    \"STOPPING\": \"STOPPING\",\n    \"REQUEST_STOP\": \"STOPPING\",\n\n}\n\n\ndef fix_none_res(arg, value):\n    return arg if arg is not None and arg != 'None' else value\n\ndef get_display_names(params, exp_config=None, eid=None, cur=None):\n    if exp_config is None and eid is not None and cur is not None:\n        cur.execute(\"SELECT json_extract(exp_config, '$') as exp_config \\\n                            FROM experiment WHERE eid={eid} LIMIT 1;\".format(eid=eid))\n        exp_config = json.loads(str(cur.fetchone()[0]))\n    display_names = {}\n    for param in params:\n        param = param['name']\n        full_param = param.split(SERIALIZATION_SEPARATOR)\n        index = int(full_param[0])\n        original_key = full_param[-1]\n        cdict = exp_config['compression']['config_list'][index]\n        for part in full_param[1:-1]:\n            cdict = cdict[part]\n        if 'op_names' in exp_config['compression']['config_list'][index]:\n            new_key = '{} ({})'.format(\n                SERIALIZATION_SEPARATOR.join(full_param[1:]),\n                \", \".join([op_name for op_name in exp_config['compression']['config_list'][index]['op_names']]))\n        else:\n            new_key = '{} ({})'.format(\n                SERIALIZATION_SEPARATOR.join(full_param[1:]),\n                \", \".join([op_type for op_type in exp_config['compression']['config_list'][index]['op_types']]))\n        display_names[param] = new_key\n    return display_names\n\ndef fix_compression_job_config(jobs, params, display_names):\n    new_jobs = []\n    for job in jobs:\n        if job['job_config'] is None:\n            new_job = {\n                **{display_names[param['name']]: None for param in params},\n                **{key: val for key, val in job.items() if key != 'job_config'},\n            }\n            new_jobs += [new_job]\n            continue\n        new_job = {key: val for key, val in job.items() if key != 'job_config'}\n        job_config = json.loads(job['job_config'])\n        for param in params:\n            param = param['name']\n            full_param = param.split(SERIALIZATION_SEPARATOR)\n            index = int(full_param[0])\n            original_key = full_param[-1]\n            cdict = job_config['config_list'][index]\n            for part in full_param[1:-1]:\n                cdict = cdict[part]\n            new_job[display_names[param]] = cdict[original_key]\n        new_jobs += [new_job]\n    return new_jobs\n\ndef is_compression_experiment(exp_config=None, eid=None, cur=None):\n    if exp_config is not None:\n        return \"compression\" in exp_config\n    elif eid is not None:\n        ret = query_db(cur, \"SELECT (json_extract(exp_config, '$.compression') IS NOT NULL) as is_compression_exp \\\n                            FROM experiment WHERE eid={eid} LIMIT 1;\".format(eid=eid))\n        return bool(ret[0][\"is_compression_exp\"])\n    else:\n        raise ValueError(\"Missing parameter for is_compression_experiment\")\n\ndef get_params_for_experiment(cur, eid):\n    exp_config = query_db(cur, \"SELECT json_extract(exp_config, '$.parameter_config') as parameters from experiment where eid={eid};\".format(eid=eid))\n    params_json = json.loads(exp_config[0]['parameters'])\n    params = []\n    for v in params_json:\n        name = v['name']\n        new_param = {}\n        new_param['name'] = name\n        new_param['type'] = v['type']\n        new_param['range'] = v.get('range', None)\n        new_param['interval'] = v.get('interval', None)\n        new_param['n'] = v.get('n', None)\n        params.append(new_param)\n    return params\n\ndef query_db(cur, query, args=(), one=False):\n    cur.execute(query, args)\n    r = [dict((cur.description[i][0], value) \\\n               for i, value in enumerate(row)) for row in cur.fetchall()]\n    return (r[0] if r else None) if one else r\n\ndef start_experiment_daemon(json_conf, eid, cwd, event):\n    daemon_logger = logging.getLogger(\"RestAPIDaemon\")\n\n    is_compression_exp = \"compression\" in json_conf\n    is_one_shot_compression_exp = is_compression_exp and \"proposer\" not in json_conf\n\n    rc = 0\n    exp = None\n\n    previous_dir = os.getcwd()\n    os.chdir(cwd)\n    try:\n        os.setsid()\n        os.umask(0)\n\n        if is_compression_exp:\n            json_conf = verify_compression_config(json_conf)\n            json_conf[\"compression\"] = adjust_compression_config(json_conf[\"compression\"])\n            set_default_keyvalue(\"workingdir\", cwd, json_conf, log=logger)\n        \n        if not is_one_shot_compression_exp:\n            exp = Experiment(json_conf, eid=eid)\n            exp.add_suspend_signal()\n            exp.add_refresh_signal()\n        else:\n            _, finish = run_non_automatic_experiment(json_conf, os.path.join(\".aup\"), eid=eid)\n\n        event.set()\n        event.clear()\n        event.wait()\n\n        if not is_one_shot_compression_exp:\n            exp.start()\n    except Exception as e:\n        daemon_logger.exception('Exception caught:' + str(e))\n        rc = 1\n    finally:\n        if not is_one_shot_compression_exp:\n            exp.finish()\n        else:\n            finish()\n        os.chdir(previous_dir)\n        os._exit(rc)\n\ndef get_valid_jobs_interval(cursor, eid):\n    fin_cond = \"(score is not NULL and (score == 'EARLY STOPPED' or typeof(score)=='real')) \\\n                    and start_time is not NULL and end_time is not NULL\"\n\n    cursor.execute(\"SELECT jid, ({fin_cond}) AS stat FROM job WHERE \\\n                eid={eid} ORDER BY jid;\".format(fin_cond=fin_cond, eid=eid))\n    sql_res = cursor.fetchall()\n\n    first = None\n    last = None\n    idx = None\n    num_jobs = 0\n\n    for i in range(0, len(sql_res)):\n        if first == None and sql_res[i][1] == 1:\n            first = sql_res[i][0]\n            idx = i\n        if first != None and sql_res[i][1] == 0:\n            last = sql_res[i-1][0]\n            num_jobs = (i - idx)\n            break\n\n    start_job = first\n    if first == None:\n        num_jobs = 0\n    elif last == None:\n        num_jobs = len(sql_res)\n\n    return (start_job, num_jobs)\n\n# Create a URL route in our application for \"/\"\n@app.route('/')\ndef home():\n    \"\"\"\n    This function just responds to the browser ULR\n    localhost:5000/\n    :return:        the rendered template 'home.html'\n    \"\"\"\n    return render_template('home.html')\n\n@app.route('/api/resource_types', methods=['GET'])\ndef get_resource_types():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        cur.execute(\"SELECT DISTINCT type from resource;\")\n        res = [i[0] for i in cur.fetchall()]\n        return jsonify({'resources': res})\n    return None\n\n@app.route('/api/experiments/<int:eid>', methods=['GET'])\ndef get_experiment(eid):\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        experiment = experiment = query_db(cur, \"SELECT *, name as experiment_name, \\\n                                        json_extract(exp_config, '$.script') as script_name \\\n                                    from experiment where eid={eid};\".format(eid=eid))\n        experiment[0]['status'] = EXPERIMENT_STATUS_TRANSLATE_DICT[experiment[0]['status']]\n        cur = con.cursor()\n        cur.execute(\"SELECT count(*) from job where (end_time is NULL or \\\n                    (typeof(score) is not 'real' and score is not 'EARLY STOPPED')) and eid={eid}\".format(eid=eid))\n        unfinished = int(cur.fetchone()[0])\n        cur.execute(\"SELECT count(*) from job where (end_time is not NULL and \\\n                    (typeof(score) is 'real' or score is 'EARLY STOPPED')) and eid={eid}\".format(eid=eid))\n        finished = int(cur.fetchone()[0])\n\n        cur.execute(\"SELECT json_extract(exp_config, '$.target') from experiment where eid={eid}\".format(eid=eid))\n        order = str(cur.fetchone()[0])\n        order = fix_none_res(order, 'max')\n\n        cur.execute(\"SELECT json_extract(exp_config, '$.proposer') from experiment where eid={eid}\".format(eid=eid))\n        proposer = str(cur.fetchone()[0])\n\n        cur = con.cursor()\n        cur.execute(\"SELECT exp_config \\\n                    from experiment where eid={eid};\".format(eid=eid))\n        exp_config = json.loads(str(cur.fetchone()[0]))\n        num_params = len(exp_config['parameter_config'])\n\n        proposer_obj = None\n        n_samples = 1\n        if proposer is not None and proposer != 'None':\n            proposer_obj = get_proposer(proposer)\n            n_samples = proposer_obj(exp_config).nSamples\n\n        if proposer == 'bohb' and experiment[0]['status'] == 'FINISHED':\n            n_samples = finished\n\n        param_names = []\n        for p in range(0, num_params):\n            cur.execute(\"SELECT json_extract(exp_config, '$.parameter_config[{idx}].name') \\\n                            from experiment where eid={eid};\".format(idx=p, eid=eid))\n            param_names.append(str(cur.fetchone()[0]))\n\n        is_compression_exp = is_compression_experiment(exp_config)\n        best_metrics_vs_hparams = query_db(cur, \"SELECT {order}(score) as score, job_config \\\n                            from job where eid={eid} and typeof(score) = 'real';\".format(order=order, eid=eid))\n\n        params = get_params_for_experiment(cur, eid)\n\n        new_best_score = {}\n\n        best_job_config = best_metrics_vs_hparams[0]['job_config']\n        if is_compression_exp:\n            display_names = get_display_names(params, exp_config)\n            best_metrics_vs_hparams = fix_compression_job_config(best_metrics_vs_hparams, params, display_names)\n            for param in params:\n                if param['name'] in display_names:\n                    param['name'] = display_names[param['name']]\n                param['value'] = best_metrics_vs_hparams[0][param['name']]\n        else: \n            job_configs = [\n                json.loads(mvh[\"job_config\"]) if \"job_config\" in mvh and mvh[\"job_config\"] is not None else {}\n                for mvh in best_metrics_vs_hparams\n            ]\n            best_metrics_vs_hparams = [{\n                \"score\": mvh[\"score\"],\n                **{param['name']: job_config[param['name']] if param['name'] in job_config else None for param in params},\n            } for mvh, job_config in zip(best_metrics_vs_hparams, job_configs)]\n\n            for param in params:\n                param['value'] = best_metrics_vs_hparams[0][param['name']]\n\n        new_best_score['params'] = params\n        new_best_score['proposer'] = proposer\n        new_best_score['score'] = best_metrics_vs_hparams[0]['score']\n\n        res = {\n            'experiment': experiment[0], \n            'best_score': new_best_score,\n            'job_stats': {\n                'finished': finished, \n                'unfinished': unfinished, \n                'total': n_samples\n            },\n        }\n\n        if is_compression_exp and len(params) == 0:\n            best_config_list = query_db(cur, \"SELECT json_extract(exp_config, '$.compression.config_list') as 'config_list' \\\n                                         FROM experiment WHERE eid={eid} LIMIT 1;\".format(eid=eid))\n            best_config_list = best_config_list[0]['config_list']\n            res['best_score'] = {\n                'score': res['best_score']['score'],\n                'config_list': best_config_list,\n            }\n\n        return res\n\n    return None\n\n@app.route('/api/experiments', methods=['GET'])\ndef get_experiments():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        experiment = query_db(cur, \"SELECT *, json_extract(exp_config, '$.script') as script_name, \\\n                                    name as experiment_name,  \\\n                                    (SELECT case when (SELECT json_extract(exp_config, '$.target') from experiment where eid=experiment.eid) is \\\"min\\\" \\\n                                    then min(score) else max(score) end from job where job.eid=experiment.eid and typeof(score) is 'real') as best_score, \\\n                                    (SELECT json_group_array(job.score) from job where job.eid=experiment.eid) as scores, \\\n                                    (SELECT count(*) from job where (end_time is NULL or typeof(score) is not 'real') and job.eid=experiment.eid) as jobs_unfinished, \\\n                                    (SELECT count(*) from job where end_time is not NULL and typeof(score) = 'real' and job.eid=experiment.eid) as jobs_finished, \\\n                                    (SELECT json_group_array(json_object('jid', jid, 'score', score, \\\n                                        'start_time', start_time, 'end_time', end_time, 'job_config', job_config)) from \\\n                                    (SELECT * from job where eid=experiment.eid order by end_time)) as jobs \\\n                                    from experiment order by start_time DESC;\")\n        for e in experiment:\n            e['status'] = EXPERIMENT_STATUS_TRANSLATE_DICT[e['status']]\n\n        mult_res_labels = query_db(cur, \"SELECT JSON_EXTRACT(exp_config, '$.resource_args.multi_res_labels') \\\n                                        AS labels FROM experiment ORDER BY start_time DESC\")\n\n        list_mult_res_labels = None\n        if mult_res_labels is not None:\n            for i in range(len(mult_res_labels)):\n                labels_str = mult_res_labels[i]['labels']\n                if labels_str is None:\n                    continue\n\n                list_mult_res_labels = json.loads(labels_str)\n                experiment[i]['labels'] = list_mult_res_labels\n\n        resource = query_db(cur, \"SELECT * FROM resource WHERE type IS NOT 'passive';\")\n        return jsonify({'experiment': experiment, 'resource': resource})\n    return None\n\n@app.route('/api/job_status', methods=['GET'])\ndef get_job_status():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        eid = request.args.get('eid')\n        job = query_db(cur, \"SELECT *, case when end_time is NULL then \\\"running\\\" \\\n                                else \\\"finished\\\" end as status, (SELECT rid from job_attempt where jid=job.jid) as rid \\\n                                from job where eid={eid} order by {sortby} {ASC};\".format(eid=eid, \\\n                        sortby=request.args.get('sortby'), \\\n                        ASC=\"ASC\" if int(request.args.get('asc')) else \"DESC\"))\n        mult_res_labels = query_db(cur, \"SELECT JSON_EXTRACT(exp_config, '$.resource_args.multi_res_labels') AS labels \\\n                                    FROM experiment WHERE eid=?\", (eid,))\n        mult_res_labels = mult_res_labels[0]\n\n        list_mult_res_labels = None\n        if mult_res_labels is not None and mult_res_labels['labels'] is not None:\n            list_mult_res_labels = json.loads(mult_res_labels['labels'])\n\n            for j in job:\n                m_res = query_db(cur, \"SELECT * FROM multiple_result WHERE jid=? AND is_last_result=1 ORDER BY mrid\", (j['jid'],))\n\n                # take the last results\n                if len(m_res) < len(list_mult_res_labels):\n                    continue\n                for res in m_res:\n                    j[list_mult_res_labels[res['label_order']-1]] = res['value']\n\n        is_compression_exp = is_compression_experiment(cur=cur, eid=eid)\n        if len(job) > 0 and is_compression_exp:\n            params = get_params_for_experiment(cur, eid)\n            display_names = get_display_names(params, eid=eid, cur=cur)\n            job_configs = fix_compression_job_config([{'job_config': j['job_config']} for j in job], params, display_names)\n            job = [{\n                'job_config': json.dumps(job_configs[idx]),\n                **{key: val for key, val in j.items() if key != 'job_config'}\n            } for idx, j in enumerate(job)]\n        return jsonify({'job': job, 'mult_res_labels': list_mult_res_labels})\n    return None\n\n@app.route('/api/hps_space', methods=['GET'])\ndef get_hps_space():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        eid = request.args.get('eid')\n        exp_config = query_db(cur, \"SELECT json_extract(exp_config, '$.parameter_config') as parameters, \\\n                        json_extract(exp_config, '$.proposer') as proposer, \\\n                        json_extract(exp_config, '$.n_samples') as num_samples from experiment where eid={eid};\".format(eid=eid))\n        return jsonify({'exp_config': exp_config[0]})\n    return None\n\n@app.route('/api/experiment_history', methods=['GET'])\ndef get_experiment_history():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        experiment_history = query_db(cur, \"SELECT *, (SELECT rid from job_attempt where jid=job.jid) as rid from job \\\n                    where eid={eid} order by end_time;\".format(eid=request.args.get('eid')))\n        return jsonify({'experiment_history': experiment_history})\n    return None\n\n@app.route('/api/experiment_history_best/<int:eid>', methods=['GET'], defaults={'label': None})\n@app.route('/api/experiment_history_best/<int:eid>/<label>', methods=['GET'])\ndef get_experiment_history_best(eid, label):\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        sortby = request.args.get('sortby', 'jid')\n        cur = con.cursor()\n        cur.execute(\"SELECT json_extract(exp_config, '$.target') from experiment where eid={eid};\".format(eid=eid))\n        order = str(cur.fetchone()[0])\n        order = fix_none_res(order, 'max')\n\n        list_mult_res_labels = None\n        label_order = None\n        if label is not None:\n            mult_res_labels = query_db(cur, \"SELECT JSON_EXTRACT(exp_config, '$.resource_args.multi_res_labels') AS labels \\\n                                        FROM experiment WHERE eid=?\", (eid,))\n            mult_res_labels = mult_res_labels[0]\n\n            if mult_res_labels is not None and mult_res_labels['labels'] is not None:\n                list_mult_res_labels = json.loads(mult_res_labels['labels'])\n                try:\n                    label_order = list_mult_res_labels.index(label)+1\n                except ValueError:\n                    return jsonify({'experiment_history_best': []})\n\n            if list_mult_res_labels is None:\n                return jsonify({'experiment_history_best': []})\n\n        (start_job, num_jobs) = get_valid_jobs_interval(cur, eid)\n\n        result = []\n        for i in range(1, num_jobs+1):\n            best_job = None\n            if label is None:\n                best_job = query_db(cur, \"SELECT jid, {order}(score) as score, job_config from \\\n                            (SELECT * from job where eid={eid} and jid >= {start_job} order by {sortby} limit 0,{start}) \\\n                            WHERE typeof(score) == 'real';\". \\\n                            format(order=order, eid=eid, start=i, sortby=sortby, start_job=start_job))\n            elif list_mult_res_labels is not None and label_order is not None:\n                if sortby == 'end_time':\n                    sortby = 'receive_time'\n                best_job = query_db(cur, \"SELECT jid, {order}(value) as score, (SELECT job_config FROM job WHERE jid=jidm) as job_config FROM \\\n                                    (SELECT *, jid AS jidm FROM multiple_result WHERE eid={eid} AND \\\n                                    jid >= {start_job} AND label_order={label_order} AND is_last_result=1 ORDER BY {sortby} LIMIT 0,{start})\". \\\n                                    format(order=order, eid=eid, start=i, start_job=start_job, label_order=label_order, sortby=sortby))\n            if best_job is not None and best_job[0]['jid'] is None:\n                continue\n\n            is_compression_exp = is_compression_experiment(cur=cur, eid=eid)\n            if is_compression_exp:\n                params = get_params_for_experiment(cur, eid)\n                display_names = get_display_names(params, eid=eid, cur=cur)\n                job_configs = fix_compression_job_config([{\"job_config\": job[\"job_config\"]} for job in best_job], params, display_names)\n                best_job = [{\n                    \"job_config\": json.dumps(job_configs[idx]),\n                    **{key: val for key, val in job.items() if key != \"job_config\"}\n                } for idx, job in enumerate(best_job)]\n            result.append(best_job[0])\n        return jsonify({'experiment_history_best': result})\n    return None\n\n@app.route('/api/experiment_history_best', methods=['GET'], defaults={'label': None})\n@app.route('/api/experiment_history_best/<label>', methods=['GET'])\ndef get_experiments_history_best(label):\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        sortby = request.args.get('sortby', 'jid')\n        cur = con.cursor()\n        eids = query_db(cur, \"SELECT eid from experiment;\")\n        result = dict()\n        for eid in eids:\n            eid = eid['eid']\n            cur.execute(\"SELECT json_extract(exp_config, '$.target') from experiment where eid={eid};\".format(eid=eid))\n            order = str(cur.fetchone()[0])\n            order = fix_none_res(order, 'max')\n\n            list_mult_res_labels = None\n            label_order = None\n            if label is not None:\n                mult_res_labels = query_db(cur, \"SELECT JSON_EXTRACT(exp_config, '$.resource_args.multi_res_labels') AS labels \\\n                                            FROM experiment WHERE eid=?\", (eid,))\n                mult_res_labels = mult_res_labels[0]\n\n                if mult_res_labels is not None and mult_res_labels['labels'] is not None:\n                    list_mult_res_labels = json.loads(mult_res_labels['labels'])\n                    try:\n                        label_order = list_mult_res_labels.index(label)+1\n                    except ValueError:\n                        continue\n\n                if list_mult_res_labels is None:\n                    continue\n\n            (start_job, num_jobs) = get_valid_jobs_interval(cur, eid)\n\n            result[eid] = list()\n            for i in range(1, num_jobs+1):\n                best_job = None\n                if label is None:\n                    best_job = query_db(cur, \"SELECT jid, {order}(score) as score, job_config, start_time, end_time from \\\n                                (SELECT * from job where eid={eid} and jid >= {start_job} order by {sortby} limit 0,{start}) \\\n                                WHERE typeof(score) == 'real';\". \\\n                                format(order=order, eid=eid, start=i, sortby=sortby, start_job=start_job))\n                elif list_mult_res_labels is not None and label_order is not None:\n                    if sortby == 'end_time':\n                        sortby = 'receive_time'\n                    best_job = query_db(cur, \"SELECT jid, {order}(value) as score, (SELECT job_config FROM job WHERE jid=jidm) as job_config FROM \\\n                                        (SELECT *, jid AS jidm FROM multiple_result WHERE eid={eid} AND \\\n                                        jid >= {start_job} AND label_order={label_order} AND is_last_result=1 ORDER BY {sortby} LIMIT 0,{start})\". \\\n                                        format(order=order, eid=eid, start=i, start_job=start_job, label_order=label_order, sortby=sortby))\n                if best_job is not None and best_job[0]['jid'] is None:\n                    continue\n\n                is_compression_exp = is_compression_experiment(cur=cur, eid=eid)\n                if is_compression_exp:\n                    params = get_params_for_experiment(cur, eid)\n                    display_names = get_display_names(params, eid=eid, cur=cur)\n                    job_configs = fix_compression_job_config([{\"job_config\": job[\"job_config\"]} for job in best_job], params, display_names)\n                    best_job = [{\n                        \"job_config\": json.dumps(job_configs[idx]),\n                        **{key: val for key, val in job.items() if key != \"job_config\"}\n                    } for idx, job in enumerate(best_job)]\n\n                result[eid].append(best_job[0])\n        return jsonify({'experiment_history_best': result})\n    return None\n\n@app.route('/api/experiment_comparison_best', methods=['GET'])\ndef get_experiment_comparison_best():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        eid = request.args.get('eid')\n        cur = con.cursor()\n        cur.execute(\"SELECT json_extract(exp_config, '$.target') from experiment where eid={eid}\".format(eid=eid))\n        order = str(cur.fetchone()[0])\n        order = fix_none_res(order, 'max')\n        result = query_db(cur, \"SELECT jid, {order}(score), job_config from job where eid={eid};\" \\\n                        .format(order=order, eid=eid))\n        return jsonify({'experiment_comparison_best': result})\n    return None\n\n@app.route('/api/metrics_vs_hparams', methods=['GET'])\ndef get_metrics_vs_hparams():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        eid = int(request.args.get('eid'))\n        cur = con.cursor()\n\n        params = get_params_for_experiment(cur, eid)\n\n        metrics_vs_hparams = query_db(cur, \"SELECT score, job_config from job \\\n                            where eid={eid} and typeof(score) == 'real';\".format(eid=eid))\n        is_compression_exp = is_compression_experiment(cur=cur, eid=eid)\n\n        if is_compression_exp:\n            display_names = get_display_names(params, eid=eid, cur=cur)\n            metrics_vs_hparams = fix_compression_job_config(metrics_vs_hparams, params, display_names)\n        else:\n            metrics_vs_hparams = [{\n                \"score\": mvh[\"score\"],\n                **{key: val for key, val in json.loads(mvh[\"job_config\"]).items()},\n            } for mvh in metrics_vs_hparams]\n\n        return jsonify({'metrics_vs_hparams': metrics_vs_hparams})\n    return None\n\n@app.route('/api/experiments_status')\ndef get_experiment_status():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        result = query_db(cur, \"SELECT eid, start_time, end_time, status \\\n                                FROM experiment;\")\n        for r in result:\n            r['status'] = EXPERIMENT_STATUS_TRANSLATE_DICT[r['status']]\n        return jsonify({'experiments_status': result})\n    return None\n\n@app.route('/api/job_stats/<int:eid>')\ndef get_job_stats(eid):\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        cur.execute(\"SELECT count(*) from job where end_time is NULL and eid={eid}\".format(eid=eid))\n        unfinished = int(cur.fetchone()[0])\n        cur.execute(\"SELECT count(*) from job where end_time is not NULL and eid={eid}\".format(eid=eid))\n        finished = int(cur.fetchone()[0])\n\n        return jsonify({'finished': finished, 'unfinished': unfinished})\n    return None\n\n@app.route('/api/current_db', methods=['GET'])\ndef get_current_db():\n    db_path = app.app.config['db_file']\n    return jsonify({'db_path': os.path.abspath(db_path) if db_path is not None else None})\n\n@app.route('/api/setup', methods=['POST'])\ndef perform_setup():\n    if request.method == 'POST':\n        data = request.json\n\n        work_dir = data.get('work_dir')\n\n        previous_dir = os.getcwd()\n        try:\n            os.chdir(work_dir)\n\n            ini_path = data.get('ini_path')\n\n            cpu = data.get('cpu', '4')\n            cpu = int(cpu)\n\n            aws_file = data.get('aws_file', 'none')\n            gpu_file = data.get('gpu_file', 'none')\n            node_file = data.get('node_file', 'none')\n\n            if not os.path.exists(ini_path):\n                raise Exception(\"{} does not exist\".format(ini_path))\n            if aws_file is not 'none' and (not os.path.exists(aws_file)):\n                raise Exception(\"{} does not exist\".format(aws_file))\n            if gpu_file is not 'none' and (not os.path.exists(gpu_file)):\n                raise Exception(\"{} does not exist\".format(gpu_file))\n            if node_file is not 'none' and (not os.path.exists(node_file)):\n                raise Exception(\"{} does not exist\".format(node_file))\n\n            overwrite = data.get('overwrite', 'False')\n            overwrite = bool(overwrite) \n\n            user = data.get('user')\n\n            config = ConfigParser()\n            config.optionxform = str\n\n            config.read(ini_path)\n            user = get_default_username(user)\n            setup(config, cpu, gpu_file, node_file, aws_file, user, overwrite, 'info')\n\n            app.app.config['db_file'] = os.path.join(work_dir, config.get(\"Auptimizer\", \"Auptimizer_PATH\"), 'sqlite3.db')\n        except Exception as e:\n            logger.fatal('Exception caught:' + str(e))\n            return jsonify(isError=True,\n                    message=str(e),\n                    statusCode=500), 500\n        finally:\n            os.chdir(previous_dir)\n\n        return jsonify(isError= False,\n                    message= \"Success\",\n                    statusCode=200), 200\n\n@app.route('/api/create_experiment', methods=['POST'])\ndef create_experiment():\n    if request.method == 'POST':\n        data = request.json\n\n        cwd = data.get('cwd', None)\n        json_config_body = data.get('json_config_body', None)\n\n        is_compression_exp = \"compression\" in json_config_body\n        is_automatic_compression_exp = is_compression_exp and \"proposer\" in json_config_body\n\n        try:\n            previous_dir = os.getcwd()\n            os.chdir(cwd)\n\n            config = BasicConfig()\n            config.update(json_config_body)\n\n            config['cwd'] = cwd\n\n            if is_compression_exp:\n                config = verify_compression_config(config)\n                config[\"compression\"] = adjust_compression_config(config[\"compression\"])\n                set_default_keyvalue(\"workingdir\", cwd, config, log=logger)\n\n            if is_compression_exp and not is_automatic_compression_exp:\n                eid, _ = run_non_automatic_experiment(config, os.path.join(\".aup\"), start=False)\n            else:\n                e = Experiment(config, start=False)\n                eid = e.eid\n\n            os.chdir(previous_dir)\n\n            with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n                cur = con.cursor()\n                experiment = query_db(cur, \"SELECT *, name as experiment_name, \\\n                                                            json_extract(exp_config, '$.script') as script_name \\\n                                                        from experiment where eid={eid};\".format(eid=eid))\n                experiment = experiment[0]\n                experiment['status'] = EXPERIMENT_STATUS_TRANSLATE_DICT[experiment['status']]\n            return jsonify(experiment)\n        except Exception as e:\n            os.chdir(previous_dir)\n            logger.exception('Exception caught:' + str(e))\n            return jsonify(isError=True,\n                message=str(e),\n                statusCode=500), 500\n\n@app.route('/api/start_experiment', methods=['POST'])\ndef start_experiment():\n    if request.method == 'POST':\n        data = request.json\n\n        eid = int(data.get('eid', -1))\n        cwd = None\n\n        json_conf = None\n\n        with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n            cur = con.cursor()\n            cur.execute(\"SELECT exp_config from experiment where eid={eid};\".format(eid=eid))\n\n            json_conf = BasicConfig()\n            json_conf.update(json.loads(cur.fetchone()[0]))\n\n            cur.execute(\"SELECT json_extract(exp_config, '$.cwd') from experiment where eid={eid};\".format(eid=eid))\n            cwd = str(cur.fetchone()[0])\n\n        init_exp_event = None\n\n        try:\n            init_exp_event = multiprocessing.Event()\n            proc = multiprocessing.Process(target=start_experiment_daemon,\n                    args=(json_conf, eid, cwd, init_exp_event))\n            proc.daemon = True\n\n            proc.start()\n\n            with EXPS_lock:\n                EXPS[eid] = (proc, cwd)\n            init_exp_event.wait()\n\n            with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n                cur = con.cursor()\n                experiment = query_db(cur, \"SELECT *, name as experiment_name, \\\n                                                    json_extract(exp_config, '$.script') as script_name \\\n                                                from experiment where eid={eid};\".format(eid=eid))\n                experiment = experiment[0]\n                experiment['status'] = EXPERIMENT_STATUS_TRANSLATE_DICT[experiment['status']]\n            # let daemon start the experiment after we finished with the db\n            init_exp_event.set()\n            return jsonify(experiment)\n        except Exception as e:\n            logger.exception('Exception caught:' + str(e))\n            return jsonify(isError=True,\n                message= \"Exception occurred:\" + str(e),\n                statusCode=500), 500\n\n@app.route('/api/stop_experiment', methods=['POST'])\ndef stop_experiment():\n    if request.method == 'POST':\n        data = request.json\n\n        eid = int(data.get('eid', -1))\n\n        try:\n            with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n                cur = con.cursor()\n                experiment = query_db(cur, \"UPDATE experiment SET status = 'REQUEST_STOP' \\\n                                            WHERE eid={eid}\".format(eid=eid))\n            \n            with EXPS_lock:\n                if eid in EXPS:\n                    # force a last refresh\n                    os.kill(EXPS[eid][0].pid, signal.SIGUSR1)\n                    del EXPS[eid]\n            \n            with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n                cur = con.cursor()\n                experiment = query_db(cur, \"SELECT *, name as experiment_name, \\\n                                                        json_extract(exp_config, '$.script') as script_name \\\n                                                    from experiment where eid={eid};\".format(eid=eid))\n                experiment = experiment[0]\n                experiment['status'] = EXPERIMENT_STATUS_TRANSLATE_DICT[experiment['status']]\n                return jsonify(experiment)\n        except Exception as e:\n            logger.exception('Exception caught:' + str(e))\n            return jsonify(isError=True,\n                message= \"Exception occurred:\" + str(e),\n                statusCode=500), 500\n\n@app.route('/api/refresh_all', methods=['POST'])\ndef refresh_all():\n    try:\n        to_delete = list()\n\n        with EXPS_lock:\n            for k, v in EXPS.items():\n                if v[0].exitcode == None:\n                    os.kill(v[0].pid, signal.SIGUSR1)\n                else:\n                    to_delete.append(k)\n            for eid in to_delete:\n                del EXPS[eid]\n\n        return jsonify(isError= False,\n                        message= \"Success\",\n                        statusCode=200), 200\n    except Exception as e:\n        logger.exception('Exception caught:' + str(e))\n        return jsonify(isError=True,\n            message= \"Exception occurred:\" + str(e),\n            statusCode=500), 500\n\n@app.route('/api/interm_res', methods=['GET'])\ndef get_interm_res():\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        experiments = query_db(cur, \"SELECT * from experiment WHERE \\\n                                     JSON_EXTRACT(exp_config, '$.resource_args.track_intermediate_results') = 1\")\n\n        res = list()\n        for exp in experiments:\n            obj = dict()\n\n            eid = int(exp['eid'])\n            name = str(exp['name'])\n            script_name = str(json.loads(exp['exp_config'])['script'])\n\n            obj['eid'] = eid\n            obj['name'] = name\n            obj['scriptName'] = script_name\n\n            res.append(obj)\n\n        return jsonify(res)\n\n@app.route('/api/interm_res/<int:eid>', methods=['GET'], defaults={'label': None})\n@app.route('/api/interm_res/<int:eid>/<label>', methods=['GET'])\ndef get_interm_res_by_eid(eid, label):\n    with sql.connect(app.app.config['db_file'], check_same_thread=False) as con:\n        cur = con.cursor()\n        res = query_db(cur, \"SELECT * from experiment WHERE \\\n                             JSON_EXTRACT(exp_config, '$.resource_args.track_intermediate_results') = 1 AND eid={eid}\".format(eid=eid))\n\n        if len(res) == 0:\n            return jsonify(dict())\n\n        exp = res[0]\n        name = str(exp['name'])\n        script_name = str(json.loads(exp['exp_config'])['script'])\n\n        obj = dict()\n\n        list_mult_res_labels = None\n        label_order = None\n\n        mult_res_labels = query_db(cur, \"SELECT JSON_EXTRACT(exp_config, '$.resource_args.multi_res_labels') AS labels \\\n                                    FROM experiment WHERE eid=?\", (eid,))\n        mult_res_labels = mult_res_labels[0]\n\n        if mult_res_labels is not None and mult_res_labels['labels'] is not None:\n            list_mult_res_labels = json.loads(mult_res_labels['labels'])\n            if label is not None:\n                label_order = list_mult_res_labels.index(label)+1\n            obj['multResLabels'] = list_mult_res_labels\n\n        obj['eid'] = eid\n        obj['name'] = name\n        obj['scriptName'] = script_name\n        obj['jobs'] = list()\n\n        jids = query_db(cur, \"SELECT jid from job WHERE \\\n                        eid={eid}\".format(eid=eid))\n        for jid in jids:\n            field = dict()\n\n            jid_int = int(jid['jid'])\n\n            field['jid'] = jid_int\n            field['interimResults'] = list()\n\n            interm_res = None\n\n            if label is None:\n                interm_res = query_db(cur, \"SELECT * from intermediate_result WHERE \\\n                                jid={jid} ORDER BY receive_time\".format(jid=jid_int))\n            elif list_mult_res_labels is not None and label_order is not None:\n                interm_res = query_db(cur, \"SELECT *, value as score FROM multiple_result WHERE\\\n                                        jid={jid} and label_order={label_order} ORDER BY receive_time\".\\\n                                        format(jid=jid_int, label_order=label_order))\n\n            for in_res in interm_res:\n                field['interimResults'].append({\"irid\": in_res['irid'], \"receiveTime\": in_res['receive_time'], \"score\": in_res['score']})\n\n            obj['jobs'].append(field)\n\n        return jsonify(obj)\n\n@app.route('/api/experiment/<int:eid>', methods=['DELETE'])\ndef delete_experiment(eid):\n    if eid in EXPS:\n         del EXPS[eid]\n\n    conn = SQLiteConnector(app.app.config['db_file'])\n    rc = conn.delete_experiment(eid)\n    conn.close()\n\n    if not rc:\n        return jsonify(isError=True,\n            message= \"Experiment with eid={eid} not found\".format(eid=eid),\n            statusCode=500), 500\n    else:\n        return jsonify(isError=False,\n            message=\"Success\",\n            statusCode=200), 200\n\ndef disable_http_logs(disable):\n    if disable:\n        import click\n\n        log = logging.getLogger('werkzeug')\n        log.setLevel(logging.ERROR)\n\n        def secho(text, file=None, nl=None, err=None, color=None, **styles):\n            pass\n\n        def echo(text, file=None, nl=None, err=None, color=None, **styles):\n            pass\n        click.echo = echo\n        click.secho = secho\n\ndef main(path, port):\n    if path is not None and not os.path.exists(path):\n        return 1\n\n    app.app.config['db_file'] = os.path.abspath(path) if path is not None else None\n    app.app.config['CORS_HEADERS'] = 'Content-Type'\n\n    disable_http_logs(True)\n\n    app.run(host='0.0.0.0', port=int(port), debug=False)\n\n    return 0\n\n# If we're running in stand alone mode, run the application\nif __name__ == '__main__':\n    db_file = None\n    port = None\n\n    try:\n        if len(sys.argv) == 3:\n            db_file = str(sys.argv[1])\n            if not os.path.exists(db_file):\n                logger.fatal('Db file does not exist')\n                exit(1)\n\n            port = int(sys.argv[2])\n        elif len(sys.argv) == 2:\n            logger.warning(\"Running without db!\")\n            port = int(sys.argv[1])\n        else:\n            logger.fatal('Specify at least a port!')\n            exit(1)\n    except ValueError as ve:\n        logger.fatal('Cannot parse port!:' + str(ve))\n        exit(1)\n    except Exception as e:\n        logger.fatal('Caught exception:' + str(e))\n        exit(1)\n\n    app.app.config['db_file'] = os.path.abspath(db_file) if db_file is not None else None\n    app.app.config['CORS_HEADERS'] = 'Content-Type'\n    app.run(host='0.0.0.0', port=port, debug=False)\n"
  },
  {
    "path": "src/aup/RestAPI/templates/home.html",
    "content": "<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n    <meta charset=\"UTF-8\">\n    <title>Application Home Page</title>\n</head>\n<body>\n    <h2>\n        Auptimizer REST API\n    </h2>\n</body>\n</html>\n"
  },
  {
    "path": "src/aup/__init__.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nfrom .EE.Experiment import Experiment\nfrom .aup import BasicConfig, print_result, aup_args, aup_flags, aup_save_model\nimport aup.compression\n\n__version__ = \"2.0\"\n"
  },
  {
    "path": "src/aup/__main__.py",
    "content": "#!/usr/bin/env python3\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nAuptimizer HPO main entry\n=========================\n\n:mod:`aup.__main__` is the Auptimizer main entry point for HPO experiments.\n\nUse it as::\n\n  python -m aup <experiment configuration>\n\nThe usage is detailed in :doc:`experiment`.\n\nAdditional arguments\n--------------------\n\n.. program-output:: python3 -m aup -h\n\n\"\"\"\n\nimport logging\n\nimport click\nimport coloredlogs\n\nfrom . import Experiment, BasicConfig\nfrom .utils import get_default_username\nfrom .utils import get_available_port\nfrom .dashboard import dashboard\n\n_log_level = {\"debug\": logging.DEBUG, \"info\": logging.INFO, \"warn\": logging.WARN, \"error\": logging.ERROR}\nlogger = logging.getLogger(\"aup\")\n\n\n@click.command(name=\"Auptimizer training\", context_settings=dict(help_option_names=['-h', '--help']))\n@click.argument(\"experiment_file\", type=click.Path(exists=True))\n@click.option(\"--test\", is_flag=True, help=\"Test one case to verify the code is working\")\n@click.option(\"--user\", default=None, help=\"User name for job scheduling\")\n@click.option(\"--aup_folder\", default=None, help=\"Specify customized aup folder\")\n@click.option(\"--resume\", default=\"none\", help=\"Resume from previous task\")\n@click.option(\"--log\", default=\"info\", type=click.Choice([\"debug\", \"info\", \"warn\", \"error\"]), help=\"Log level\")\n@click.option(\"--sleep\", default=1, type=click.FLOAT, help=\"Sleep interval to sync updates\")\n@click.option(\"--launch_dashboard\", is_flag=True, help=\"Launch the dashboard together with the experiment.\")\n@click.option(\"--dashboard_port\", default=None, type=click.INT, help=\"Port for the dashboard frontend.\")\ndef main(experiment_file, test, user, aup_folder, resume, log, sleep, launch_dashboard, dashboard_port):\n    \"\"\"Auptimizer main function for HPO experiment\n    \\b\\n\n    Copyright (C) 2018  LG Electronics Inc.\n    \\b\\n\n    GPL-3.0 License. This program comes with ABSOLUTELY NO WARRANTY;\n    \\b\\n\n    Arguments:\n        experiment_file {str} -- Experiment configuration (can be created by `python -m aup.init`).\n    \"\"\"\n    coloredlogs.install(level=_log_level[log],\n                        fmt=\"%(asctime)-15s - %(name)s - %(levelname)s - %(message)s\")\n    config = {\n        \"username\": get_default_username(user),\n        \"sleep_time\": sleep,\n    }\n\n    if not launch_dashboard and dashboard_port is not None:\n        logger.fatal(\"dashbord_port value given without launch_dashboard flag given.\")\n        exit(0)\n\n    if launch_dashboard:\n        port = dashboard_port\n        if port is None:\n            port = get_available_port()\n        logger.info('Dashboard started on 0.0.0.0:{}'.format(port))\n\n    e = None\n    if aup_folder:\n        #TODO-the \"connector\" param in Experiment class is never customized\n        e = Experiment(BasicConfig().load(experiment_file), auppath=aup_folder, **config)\n    else:\n        e = Experiment(BasicConfig().load(experiment_file), **config)\n    if test:\n        logger.info(\"# Testing\")\n        exit(0)\n\n    if launch_dashboard:\n\n        from .utils import load_default_env\n\n        if aup_folder:\n            db_path = load_default_env(aup_folder, log=None)[\"SQLITE_FILE\"]\n        else:\n            from os.path import join\n            db_path = load_default_env(join(\".aup\"), log=None)[\"SQLITE_FILE\"]\n\n        from multiprocessing import Process\n        frontend = True\n        proc = Process(target=dashboard._start_dashboard, args=(db_path, port, frontend))\n        proc.start()\n\n    logger.info(\"# Running Experiment\")\n    try:\n        import signal\n        original_sigint_handler = signal.getsignal(signal.SIGINT)\n        e.add_suspend_signal()\n        if resume == \"none\":\n            e.start()\n        else:\n            e.resume(resume)\n    except Exception as exp:\n        if _log_level[log] > logging.DEBUG:\n            logging.critical(\"use --log debug to track error details\")\n        else:\n            raise exp\n    finally:\n        e.finish()\n    if launch_dashboard:\n        signal.signal(signal.SIGINT, original_sigint_handler)\n\n        logger.info(\"Dashboard is still running on 0.0.0.0:{}\".format(port))\n        logger.info(\"To exit press CTRL+C...\")\n        proc.join()\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/aup.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nAuptimizer client side functions\n================================\n\nThis file can be copied to a remote machine instead of installing the whole Auptimizer package for job execution.\n\nAPIs\n----\n\"\"\"\nfrom __future__ import print_function\n\nimport logging\nimport json\nimport pickle\nimport sys\nimport inspect\nimport functools\nimport os\nimport shutil\n\nlogger = logging.getLogger(\"aup-minimal\")\n\n# supported data loading format\n_SUPPORT_FORMAT = (\"pkl\", \"json\")\n\nglobal user_callback_fn\nglobal user_args\nglobal user_kwargs\n\nuser_callback_fn = None\nuser_args = []\nuser_kwargs = {}\n\ndef print_result(result):\n    \"\"\"Function to print the result for :func:`parse_result`.\n    This function should be the last line of your training code\n\n    :param result: result from training code\n    :type result: str\n    \"\"\"\n    if type(result) is list:\n        result = ','.join([str(r) for r in result])\n    else:\n        result = str(result).lstrip()  # avoid line break\n    # force flush to get intermediate results in real time\n    print(\"\\n#Auptimizer:%s\" % result, file=sys.stderr, flush=True)\n\n\nclass BasicConfig(dict):\n    \"\"\"\n    User-friendly :class:`dict` supports:\n\n    * load and save for json/pickle format (.json/.pkl)\n    * easy key/value access as config.key or config[\"key\"]\n    * compatible with :class:`dict`\n\n    :param kwargs: key-value pairs to initialize the configuration\n    :type kwargs: dict\n    \"\"\"\n    def load(self, filename):\n        \"\"\"Load config parameters from JSON/pickle file\n\n        :param filename: file name ends with [.json|.pkl]\n        :type filename: string\n        :return: configuration parsed from file\n        :rtype: aup.BasicConfig\n        \"\"\"\n        name = \"_load_\" + BasicConfig._get_format(filename)\n        func = getattr(self, name)\n        data = func(filename)\n        if type(data) is not dict:\n            raise TypeError(\"Config must be dict\")\n        self.update(data)\n        logger.debug(\"Load config from %s: %s\" % (filename, data.__str__()))\n        return self\n\n    def save(self, filename):\n        \"\"\"\n        Save configuration as dict in JSON/pickle\n\n        :param filename: file name ends with [.json|.pkl]\n        :type filename: string\n        \"\"\"\n        name = \"_save_\" + BasicConfig._get_format(filename)\n        func = getattr(self, name)\n        func(filename)\n        logger.debug(\"Config saved to %s\" % filename)\n\n    @staticmethod\n    def _get_format(filename):\n        name = filename.split(\".\")[-1].lower()\n        if name not in _SUPPORT_FORMAT:\n            raise ValueError(\"Un-support file format, choose from %s.\" % \",\".join(_SUPPORT_FORMAT))\n        return name\n\n    @staticmethod\n    def _load_json(filename):\n        with open(filename, 'r') as f:\n            return json.load(f)\n\n    @staticmethod\n    def _load_pkl(filename):\n        with open(filename, 'rb') as f:\n            return pickle.load(f)\n\n    def _save_json(self, filename):\n        with open(filename, 'w') as f:\n            json.dump(self, f)\n\n    def _save_pkl(self, filename):\n        with open(filename, 'wb') as f:\n            pickle.dump(dict(self), f)\n\n    @staticmethod\n    def save_flags(filename):\n        \"\"\"\n        Save tf flags for reuse - not used, not tested\n\n        :param filename: output file\n        \"\"\"\n        from absl import flags\n        logger.info(\"Write flags into %s\")\n        with open(filename, 'w') as f:\n            f.write(flags.FLAGS.flags_into_string())\n\n    def to_flags(self, FLAGS):\n        \"\"\"\n        Update values in FLAGS from BasicConfig\n\n        :param FLAGS: tensorflow/absl FLAGS\n        \"\"\"\n        for i in FLAGS:\n            if i in self:\n                logger.debug(\"set %s in FLAGS\", i)\n                setattr(FLAGS, i, self[i])\n            else:\n                logger.debug(\"Use default %s\", i)\n\n    def __setattr__(self, key, value):\n        self.__setitem__(key, value)\n\n    def __getattr__(self, key):\n        return self.__getitem__(key)\n\n    def __delattr__(self, key):\n        self.__delitem__(key)\n\n    def __hash__(self):\n        return super(BasicConfig, self).__hash__()\n\n\ndef aup_args(func):\n    \"\"\"Decorator to wrap optimization target function `func`.\n    \n    Arguments:\n        func {function} -- A function computes optimization target with specified hyperparameters\n    \"\"\"\n    @functools.wraps(func)\n    def wrapper(filename, **kwargs):\n        \"\"\"wrapper function\n        \n        Arguments:\n            filename {str} -- configuration file\n            kwargs {dict} -- additional arguments will overwrite existing configuration value\n        Raises:\n            ValueError: if a parameter is not assigned in config\n        \"\"\"\n        # get current frame stack\n        frm = inspect.stack()[1]\n        # get module from stack\n        mod = inspect.getmodule(frm[0])\n        # get functions that contain \"init\" in name and call them\n        functions_list = inspect.getmembers(sys.modules[mod.__name__], inspect.isfunction)\n        functions_list = sorted(list(filter(lambda x: \"init\" in x[0], functions_list)))\n\n        config = BasicConfig().load(filename)\n        if kwargs:\n            logger.critical(\"Overwritting config values from script, be cautious!\")\n            config.update(kwargs)\n\n        for f in functions_list:\n            f[1](**config)\n\n        parameters = inspect.signature(func).parameters\n        for p in parameters.items():\n            if p[0] not in config:\n                if p[1].default is inspect.Parameter.empty:\n                    raise ValueError(\"`%s` is required in `%s()` but is not assigned in config file %s\" % \n                                     (p[0], func.__name__, filename))\n                logger.info(\"Using default value for %s\", p[0])\n        run_config = dict()\n        for p in config:\n            if p in parameters:\n                run_config[p] = config[p]\n            else:\n                logger.warning(\"%s is not used in optimization\"%p)\n\n        val = func(**run_config)\n        print_result(val)\n\n        save_model = config.get('save_model', False)\n        if save_model is True and user_callback_fn is not None:\n            # this means this is the \"best job\" found\n            # the user wants to save the model\n            try:\n                dir = os.path.join('aup_models', config.get('folder_name', None))\n                previous_dir = os.getcwd()\n\n                if os.path.exists('aup_models') is False:\n                    os.makedirs('aup_models')\n\n                if os.path.exists(dir) is True:\n                    logger.warning('Deleting {}'.format(dir))\n                    shutil.rmtree(dir)\n\n                os.makedirs(dir)\n                os.chdir(dir)\n\n                user_callback_fn(*user_args, **user_kwargs)\n            except Exception as e:\n                raise e\n            finally:\n                os.chdir(previous_dir)\n\n    return wrapper\n\ndef aup_flags(flags):\n    \"\"\"wrapper function for absl flags (or tf.app). \n\n    It will assign values to flags parameters using the given configuration file as the first argument when executed\n    from the command line.\n        \n    Arguments:\n        args {list} -- a list of unused arguments passed by app.run()\n    \"\"\"\n    def decorator_wrapper(func):\n        @functools.wraps(func)\n        def wrapper(args):\n            config = BasicConfig(**flags.__dict__).load(args[1])\n            flags.__dict__.update()\n            parameters = inspect.signature(func).parameters\n            if parameters:\n                logger.warning(\"TF FLAG main() should not accept arguments with Auptimizer, it has %s\", \n                               parameters.keys())\n                val = func({p:None for p in parameters})\n            else:\n                val = func()\n            print_result(val)\n        return wrapper\n    return decorator_wrapper\n\ndef aup_save_model(callback_fn, *args, **kwargs):\n    global user_callback_fn\n    global user_args\n    global user_kwargs\n\n    user_callback_fn = callback_fn\n    user_args = args\n    user_kwargs = kwargs"
  },
  {
    "path": "src/aup/compression/Compressor.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport copy\nimport logging\nimport os\nlogger = logging.getLogger(__name__)\nCOMPRESSORS = {}\n\ntry:\n    from .tensorflow import pruning as tf_pruning\n\n    COMPRESSORS.update({\n        \"tensorflow\": {\n            \"pruning\": {\n                \"level\": tf_pruning.LevelPruner,\n            }\n        },\n    })\nexcept (ImportError, AssertionError) as ex:\n    logger.warning(\"Error when importing Tensorflow 2.X for compression: {}\".format(ex))\n\ntry:\n    from .torch import pruning as torch_pruning\n    from .torch import quantization as torch_quantization\n    from .torch import ModelSpeedup, apply_compression_results\n    from .torch.utils.counter import count_flops_params\n    import torch\n    \n    COMPRESSORS.update({\n        \"torch\": {\n            \"pruning\": {\n                \"agp\": torch_pruning.AGPPruner,\n                \"admm\": torch_pruning.ADMMPruner,\n                \"auto_compress\": torch_pruning.AutoCompressPruner,\n                \"lottery_ticket\": torch_pruning.LotteryTicketPruner,\n                \"level\": torch_pruning.LevelPruner,\n                \"slim\": torch_pruning.SlimPruner,\n                \"l1_filter\": torch_pruning.L1FilterPruner,\n                \"l2_filter\": torch_pruning.L2FilterPruner,\n                \"fpgm\": torch_pruning.FPGMPruner,\n                \"net_adapt\": torch_pruning.NetAdaptPruner,\n                \"sensitivity\": torch_pruning.SensitivityPruner,\n                \"simulated_annealing\": torch_pruning.SimulatedAnnealingPruner,\n                \"amc\": torch_pruning.AMCPruner,\n                \"taylor_fo_weight_filter\": torch_pruning.TaylorFOWeightFilterPruner,\n                \"activation_apoz_rank_filter\": torch_pruning.ActivationAPoZRankFilterPruner,\n                \"activation_mean_rank_filter\": torch_pruning.ActivationMeanRankFilterPruner,\n            },\n            \"quantization\": {\n                \"naive\": torch_quantization.NaiveQuantizer,\n                \"qat\": torch_quantization.QAT_Quantizer,\n                \"dorefa\": torch_quantization.DoReFaQuantizer,\n                \"bnn\": torch_quantization.BNNQuantizer,\n            }\n        }\n    })\nexcept ImportError as ex:\n    logger.warning(\"Error when importing PyTorch for compression: {}\".format(ex))\n\nfrom ..utils import check_missing_key\n\n\ndef create_compressor(model, config, *args, **kwargs):\n    \"\"\"\n    Helper function for user scripts to generate a compression object\n\n    :param model: Model to compress\n    :param config: Compressor configuration\n    \"\"\"\n    logging.basicConfig(format=\"%(asctime)-15s - %(name)s - %(levelname)s - %(message)s\")  \n    c_framework = config[\"compression_framework\"]\n    c_type = config[\"compression_type\"]\n    c_str = config[\"compressor\"]\n    logger.info(\"Creating compressor: framework={} type={} compressor={}\".format(\n        c_framework, c_type, c_str))\n\n    if c_framework not in COMPRESSORS:\n        raise ValueError((\"Compression framework \\\"{}\\\" not recognized. Supported frameworks for installed packages: {}\\n\" +\n                          \"Please check messages above, it is possible that an import error lead to this situation.\").format(\n            c_framework, \", \".join(COMPRESSORS.keys())))\n    if c_type not in COMPRESSORS[c_framework]:\n        raise ValueError(\"Compression type \\\"{}\\\" not recognized for framework \\\"{}\\\". Supported types: {}\".format(\n            c_type, c_framework, \", \".join(COMPRESSORS[c_framework].keys())))\n    if c_str not in COMPRESSORS[c_framework][c_type]:\n        raise ValueError(\"Compressor \\\"{}\\\" not recognized for framework \\\"{}\\\" and type \\\"{}\\\". Supported compressors: {}\".format(\n            c_str, c_framework, c_type, \", \".join(COMPRESSORS[c_framework][c_type].keys())))\n\n    # Check if all op_names can be found in model \n    if c_framework == \"torch\":\n        layer_names = {\".\".join(key.split(\".\")[:-1]) for key in model.state_dict().keys()}\n    elif c_framework == \"tensorflow\":\n        layer_names = {layer.name for layer in model.layers}\n    else:\n        raise NotImplementedError\n    for config_item in config[\"config_list\"]:\n        if \"op_names\" in config_item:\n            for op_name in config_item[\"op_names\"]:\n                if op_name not in layer_names:\n                    raise ValueError(\"op_name \\\"{}\\\" not found in model. Ops found: {}\".format(op_name, layer_names))\n\n    nni_compressor = COMPRESSORS[c_framework][c_type][c_str](model=model, config_list=config[\"config_list\"], *args, **kwargs)\n    \n    compressor = Compressor(model, nni_compressor, c_framework, c_type, c_str)\n\n    return compressor\n\n\nclass Compressor:\n    def __init__(self, model, nni_compressor, c_framework, c_type, c_str):\n        self._nni_compressor = nni_compressor\n        self._compression_framework = c_framework\n        self._compression_type = c_type\n        self._compressor_str = c_str\n        self._applied_speedup = False\n        self.model = model\n    \n    def compress(self, *args, **kwargs):\n        return self._nni_compressor.compress(*args, **kwargs)\n\n    def update_epoch(self, epoch):\n        return self._nni_compressor.update_epoch(epoch)\n    \n    def step(self):\n        return self._nni_compressor.step()\n    \n    def get_prune_iterations(self):\n        return self._nni_compressor.get_prune_iterations()\n    \n    def prune_iteration_start(self):\n        return self._nni_compressor.prune_iteration_start()\n\n    def apply_speedup(self, dummy_input, mask_path=None, *args, **kwargs):\n        if self._compression_framework != \"torch\" or \\\n           self._compression_type != \"pruning\":\n            raise ValueError(\"Can only apply_speedup for PyTorch pruning compressions.\") \n\n        # Ideally, inference model would be re-created here, but _unwrap_model() seems to work as well \n        self._nni_compressor._unwrap_model()\n        \n        try:\n            # Normally, the model would be exported first and its masks file used for speedup (\"else\" case)\n            # But here (\"if\"), the mask_dictionary object is constructed on-demand in-memory without saving to disk\n            if mask_path is None:\n                mask_dict = self._nni_compressor.get_mask_dict()\n                m_speedup = ModelSpeedup(self.model, dummy_input, masks=mask_dict)\n            else:\n                m_speedup = ModelSpeedup(self.model, dummy_input, masks_file=mask_path)\n            m_speedup.speedup_model()\n        except Exception as ex:\n            self._nni_compressor._wrap_model()\n            raise ValueError(\"Error encountered in apply_speedup.\")\n\n        self._applied_speedup = True\n\n        return self.model\n\n    def count_flops_params(self, *args, **kwargs):\n        if not self._applied_speedup:\n            self._nni_compressor._unwrap_model()\n        \n        ret = count_flops_params(self.model, *args, **kwargs)\n        \n        if not self._applied_speedup:\n            self._nni_compressor._wrap_model()\n        \n        return ret\n\n    def export_model(self, model_path, mask_path=None, folder_name=\".\", speedup=False, dummy_input=None, *args, **kwargs):\n        model = self.model\n        os.makedirs(folder_name, exist_ok=True)\n        model_path = os.path.join(folder_name, model_path)\n        if mask_path is not None:\n            mask_path = os.path.join(folder_name, mask_path)\n        if self._compression_framework == \"torch\":\n            if self._compression_type == \"pruning\":\n                self._nni_compressor.export_model(model_path, mask_path)\n                if speedup and not self._applied_speedup:\n                    if dummy_input is None:\n                        logger.warning(\"Missing required parameter \\\"dummy_input\\\" for speed-up, \" +\n                                       \"saving compressed model without speed-up.\")\n                    else:\n                        try:\n                            model = self.apply_speedup(dummy_input, mask_path)\n                        except ValueError:\n                            logger.warning(\"Error encountered when applying speed-up, \" + \n                                        \"saving compressed model without speed-up.\")\n            torch.save(model.state_dict(), model_path)\n        elif self._compression_framework == \"tensorflow\":\n            self.model.save(model_path)\n"
  },
  {
    "path": "src/aup/compression/NNI-LICENSE",
    "content": "License file for package: https://github.com/microsoft/nni\n\nCopyright (c) Microsoft Corporation.\n\nMIT License\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "src/aup/compression/__init__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n# The actual Compressor class used\nfrom .Compressor import *\nfrom .utils import run_non_automatic_experiment\n\n# Utilities\ntry:\n    from .torch.utils import sensitivity_analysis\n    from .torch.utils import shape_dependency \n    from .torch.utils import mask_conflict\n    from .torch.utils import counter\nexcept (ImportError):\n    logger.debug(\"Could not import pytorch for compression. \" +\n                 \"Make sure pytorch is installed if you intend to use pytorch during compression.\")"
  },
  {
    "path": "src/aup/compression/__main__.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n:mod:`aup.compression.__main__` is the Auptimizer main entry point for compression experiments.\n\nUse it as::\n\n  python -m aup.compression <experiment configuration> \n\nThe usage is detailed in :doc:`compression`.\n\nAdditional arguments\n--------------------\n\n.. program-output:: python3 -m aup.compression -h\n\n\"\"\"\n\nimport os\nimport json\nimport logging\nimport re\nimport signal\nimport sys\nimport time\nimport signal\n\nimport click\nimport coloredlogs\n\nfrom ..EE.Resource import get_resource_manager\nfrom ..EE.Experiment import Experiment\nfrom ..EE.Job import Job\nfrom .. import BasicConfig\nfrom ..utils import get_default_username, get_default_connector, check_missing_key, set_default_keyvalue, get_available_port, load_default_env\nfrom .utils import adjust_compression_config, run_non_automatic_experiment, verify_compression_config\nfrom ..dashboard import dashboard\n\n\n_log_level = {\"debug\": logging.DEBUG, \"info\": logging.INFO, \"warn\": logging.WARN, \"error\": logging.ERROR}\nlogger = logging.getLogger(\"aup.compression\")\n\n\n@click.command(name=\"Model Compression\", context_settings=dict(help_option_names=['-h', '--help']))\n@click.argument(\"experiment_file\", type=click.Path(exists=True))\n@click.option(\"--automatic\", is_flag=True, help=\"Whether or not running an automatic compression experiment with hyperparameter optimization.\")\n@click.option(\"--user\", default=None, help=\"User name for job scheduling\")\n@click.option(\"--aup_folder\", default=os.path.join(\".aup\"), help=\"Specify customized aup folder\")\n@click.option(\"--resume\", default=\"none\", help=\"Resume from previous task\")\n@click.option(\"--log\", default=\"info\", type=click.Choice([\"debug\", \"info\", \"warn\", \"error\"]), help=\"Log level\")\n@click.option(\"--sleep\", default=1, type=click.FLOAT, help=\"Sleep interval to sync updates\")\n@click.option(\"--launch_dashboard\", is_flag=True, help=\"Launch the dashboard together with the experiment.\")\n@click.option(\"--dashboard_port\", default=None, type=click.INT, help=\"Port for the dashboard frontend.\")\ndef main(experiment_file, automatic, user, aup_folder, resume, log, sleep, launch_dashboard, dashboard_port):\n    \"\"\"Compress a given model.\n\n    \\b\n    Arguments:\n        experiment_file {str} -- Compression configuration\n    \"\"\"\n    coloredlogs.install(level=_log_level[log],\n                        fmt=\"%(asctime)-15s - %(name)s - %(levelname)s - %(message)s\")    \n    \n    user = get_default_username(user)\n    exp_config = BasicConfig().load(experiment_file)\n    exp_config = verify_compression_config(exp_config)\n    exp_config[\"compression\"] = adjust_compression_config(exp_config[\"compression\"])\n\n    set_default_keyvalue(\"cwd\", os.getcwd(), exp_config, log=logger)\n    set_default_keyvalue(\"workingdir\", exp_config.get(\"cwd\", os.getcwd()), exp_config, log=logger)\n\n    if not launch_dashboard and dashboard_port is not None:\n        logger.fatal(\"dashbord_port value given without launch_dashboard flag given.\")\n        exit(0)\n\n    if launch_dashboard:\n        port = dashboard_port\n        if port is None:\n            port = get_available_port()\n        logger.info('Dashboard started on 0.0.0.0:{}'.format(port))\n\n        if aup_folder:\n            db_path = load_default_env(aup_folder, log=None)[\"SQLITE_FILE\"]\n        else:\n            from os.path import join\n            db_path = load_default_env(join(\".aup\"), log=None)[\"SQLITE_FILE\"]\n\n        from multiprocessing import Process\n        frontend = True\n        proc = Process(target=dashboard._start_dashboard, args=(db_path, port, frontend))\n        proc.daemon = True\n        proc.start()\n\n        original_sigint_handler = signal.getsignal(signal.SIGINT)\n\n    if automatic:\n        config = {\n            \"username\": get_default_username(user),\n            \"sleep_time\": sleep,\n        }\n        if aup_folder:\n            e = Experiment(exp_config, auppath=aup_folder, **config)\n        else:\n            e = Experiment(exp_config, **config)\n\n        logger.info(\"# Running automatic compression experiment\")\n        try:  \n            e.add_suspend_signal()\n            if resume == \"none\":\n                e.start()\n            else:\n                e.resume(resume)\n            e.finish()\n        except Exception as e:\n            if _log_level[log] > logging.DEBUG:\n                logging.critical(\"use --log debug to track error details\")\n            else:\n                raise e\n    else:\n        _, finish = run_non_automatic_experiment(exp_config, aup_folder, user)\n        finish()\n\n    if launch_dashboard:\n        signal.signal(signal.SIGINT, original_sigint_handler)\n\n        logger.info(\"Dashboard is still running on 0.0.0.0:{}'\".format(port))\n        logger.info(\"To exit press CTRL+C...\")\n        proc.join()\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/compression/tensorflow/__init__.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nfrom .compressor import Compressor, Pruner\nfrom .pruning import *\n"
  },
  {
    "path": "src/aup/compression/tensorflow/compressor.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n\"\"\"\nAbstract base classes for TensorFlow model compression.\n\"\"\"\n\nimport logging\n_logger = logging.getLogger(__name__)\n\ntry:\n    import tensorflow as tf\nexcept (ImportError):\n    _logger.debug(\"Could not import Tensorflow\")\n\ntry:\n    assert tf.__version__.startswith('2'), 'NNI model compression only supports TensorFlow v2.x'\nexcept (AssertionError):\n    _logger.debug(\"Could not import Tensorflow 2.X. Install Tensorflow 2.X for NNI model compression.\")\n\n\nfrom . import default_layers\n\n\nclass Compressor:\n    \"\"\"\n    Common base class for all compressors.\n\n    This class is designed for other base classes.\n    Algorithms should inherit ``Pruner`` or ``Quantizer`` instead.\n\n    Attributes\n    ----------\n    compressed_model : tf.keras.Model\n        Compressed user model.\n    wrappers : list of tf.keras.Model\n        A wrapper is an instrumented TF ``Layer``, in ``Model`` format.\n\n    Parameters\n    ----------\n    model : tf.keras.Model\n        The user model to be compressed.\n    config_list : list of JSON object\n        User configuration. The format is detailed in tutorial.\n    LayerWrapperClass : a class derive from Model\n        The class used to instrument layers.\n    \"\"\"\n\n    def __init__(self, model, config_list, LayerWrapperClass):\n        assert isinstance(model, tf.keras.Model)\n        self.validate_config(model, config_list)\n\n        self._original_model = model\n        self._config_list = config_list\n        self._wrapper_class = LayerWrapperClass\n        self._wrappers = {}  # key: id(layer) , value: Wrapper(layer)\n\n        self.compressed_model = self._instrument(model)\n        self.wrappers = list(self._wrappers.values())\n\n        if not self.wrappers:\n            _logger.warning('Nothing is configured to compress, please check your model and config list')\n\n    def set_wrappers_attribute(self, name, value):\n        \"\"\"\n        Call ``setattr`` on all wrappers.\n        \"\"\"\n        for wrapper in self.wrappers:\n            setattr(wrapper, name, value)\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Compression algorithm should overload this function to validate configuration.\n        \"\"\"\n        pass\n\n\n    def _instrument(self, layer):\n        if isinstance(layer, tf.keras.Sequential):\n            return self._instrument_sequential(layer)\n        if isinstance(layer, tf.keras.Model):\n            return self._instrument_model(layer)\n\n        # a layer can be referenced in multiple attributes of a model,\n        # but should only be instrumented once\n        if id(layer) in self._wrappers:\n            return self._wrappers[id(layer)]\n\n        config = self._select_config(layer)\n        if config is not None:\n            wrapper = self._wrapper_class(layer, config, self)\n            self._wrappers[id(layer)] = wrapper\n            return wrapper\n\n        return layer\n\n    def _instrument_sequential(self, seq):\n        layers = list(seq.layers)  # seq.layers is read-only property\n        need_rebuild = False\n        for i, layer in enumerate(layers):\n            new_layer = self._instrument(layer)\n            if new_layer is not layer:\n                layers[i] = new_layer\n                need_rebuild = True\n        return tf.keras.Sequential(layers) if need_rebuild else seq\n\n    def _instrument_model(self, model):\n        for key, value in list(model.__dict__.items()):  # avoid \"dictionary keys changed during iteration\"\n            if isinstance(value, tf.keras.layers.Layer):\n                new_layer = self._instrument(value)\n                if new_layer is not value:\n                    setattr(model, key, new_layer)\n            elif isinstance(value, list):\n                for i, item in enumerate(value):\n                    if isinstance(item, tf.keras.layers.Layer):\n                        value[i] = self._instrument(item)\n        return model\n\n\n    def _select_config(self, layer):\n        # Find the last matching config block for given layer.\n        # Returns None if the layer should not be compressed.\n        layer_type = type(layer).__name__\n        last_match = None\n        for config in self._config_list:\n            if 'op_types' in config:\n                match = layer_type in config['op_types']\n                match_default = 'default' in config['op_types'] and layer_type in default_layers.weighted_modules\n                if not match and not match_default:\n                    continue\n            if 'op_names' in config and layer.name not in config['op_names']:\n                continue\n            last_match = config\n        if last_match is None or 'exclude' in last_match:\n            return None\n        return last_match\n\n\nclass Pruner(Compressor):\n    \"\"\"\n    Base class for pruning algorithms.\n\n    End users should use ``compress`` and callback APIs (WIP) to prune their models.\n\n    The underlying model is instrumented upon initialization of pruner object.\n    So if you want to pre-train the model, train it before creating pruner object.\n\n    The compressed model can only execute in eager mode.\n\n    Algorithm developers should override ``calc_masks`` method to specify pruning strategy.\n\n    Parameters\n    ----------\n    model : tf.keras.Model\n        The user model to prune.\n    config_list : list of JSON object\n        User configuration. The format is detailed in tutorial.\n    \"\"\"\n    def __init__(self, model, config_list):\n        super().__init__(model, config_list, PrunerLayerWrapper)\n        #self.callback = PrunerCallback(self)\n\n    def compress(self):\n        \"\"\"\n        Apply compression on a pre-trained model.\n\n        If you want to prune the model during training, use callback API (WIP) instead.\n\n        Returns\n        -------\n        tf.keras.Model\n            The compressed model.\n        \"\"\"\n        self._update_mask()\n        return self.compressed_model\n\n    def calc_masks(self, wrapper, **kwargs):\n        \"\"\"\n        Abstract method to be overridden by algorithm. End users should ignore it.\n\n        If the callback is set up, this method will be invoked at end of each training minibatch.\n        If not, it will only be called when end user invokes ``compress``.\n\n        Parameters\n        ----------\n        wrapper : PrunerLayerWrapper\n            The instrumented layer.\n        **kwargs\n            Reserved for forward compatibility.\n\n        Returns\n        -------\n        dict of (str, tf.Tensor), or None\n            The key is weight ``Variable``'s name. The value is a mask ``Tensor`` of weight's shape and dtype.\n            If a weight's key does not appear in the return value, that weight will not be pruned.\n            Returning ``None`` means the mask is not changed since last time.\n            Weight names are globally unique, e.g. `model/conv_1/kernel:0`.\n        \"\"\"\n        # TODO: maybe it should be able to calc on weight-granularity, beside from layer-granularity\n        raise NotImplementedError(\"Pruners must overload calc_masks()\")\n\n    def _update_mask(self):\n        for wrapper_idx, wrapper in enumerate(self.wrappers):\n            masks = self.calc_masks(wrapper, wrapper_idx=wrapper_idx)\n            if masks is not None:\n                wrapper.masks = masks\n\n\nclass PrunerLayerWrapper(tf.keras.Model):\n    \"\"\"\n    Instrumented TF layer.\n\n    Wrappers will be passed to pruner's ``calc_masks`` API,\n    and the pruning algorithm should use wrapper's attributes to calculate masks.\n\n    Once instrumented, underlying layer's weights will get **modified** by masks before forward pass.\n\n    Attributes\n    ----------\n    layer_info : LayerInfo\n        All static information of the original layer.\n    layer : tf.keras.layers.Layer\n        The original layer.\n    config : JSON object\n        Selected configuration. The format is detailed in tutorial.\n    pruner : Pruner\n        Bound pruner object.\n    masks : dict of (str, tf.Tensor)\n        Current masks. The key is weight's name and the value is mask tensor.\n        On initialization, `masks` is an empty dict, which means no weight is pruned.\n        Afterwards, `masks` is the last return value of ``Pruner.calc_masks``.\n        See ``Pruner.calc_masks`` for details.\n    \"\"\"\n    def __init__(self, layer, config, pruner):\n        super().__init__()\n        self.layer = layer\n        self.config = config\n        self.pruner = pruner\n        self.masks = {}\n        _logger.info('Layer detected to compress: %s', self.layer.name)\n\n    def call(self, *inputs):\n        new_weights = []\n        for weight in self.layer.weights:\n            mask = self.masks.get(weight.name)\n            if mask is not None:\n                new_weights.append(tf.math.multiply(weight, mask))\n            else:\n                new_weights.append(weight)\n        if new_weights and not hasattr(new_weights[0], 'numpy'):\n            raise RuntimeError('NNI: Compressed model can only run in eager mode')\n        self.layer.set_weights([weight.numpy() for weight in new_weights])\n        return self.layer(*inputs)\n\n\n# TODO: designed to replace `patch_optimizer`\n#class PrunerCallback(tf.keras.callbacks.Callback):\n#    def __init__(self, pruner):\n#        super().__init__()\n#        self._pruner = pruner\n#\n#    def on_train_batch_end(self, batch, logs=None):\n#        self._pruner.update_mask()\n"
  },
  {
    "path": "src/aup/compression/tensorflow/default_layers.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nweighted_modules = [\n    'Conv1D', 'Conv2D', 'Conv3D', 'Conv1DTranspose', 'Conv2DTranspose', 'Conv3DTranspose',\n    'Dense',\n    'PReLU',\n    'Embedding',\n]\n"
  },
  {
    "path": "src/aup/compression/tensorflow/pruning/__init__.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nfrom .one_shot import *\n"
  },
  {
    "path": "src/aup/compression/tensorflow/pruning/one_shot.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport tensorflow as tf\n\nfrom ..compressor import Pruner\n\n__all__ = [\n    'OneshotPruner',\n    'LevelPruner',\n]\n\nclass OneshotPruner(Pruner):\n    def __init__(self, model, config_list, pruning_algorithm='level', **algo_kwargs):\n        super().__init__(model, config_list)\n        self.set_wrappers_attribute('calculated', False)\n        self.masker = MASKER_DICT[pruning_algorithm](model, self, **algo_kwargs)\n\n    def validate_config(self, model, config_list):\n        pass  # TODO\n\n    def calc_masks(self, wrapper, wrapper_idx=None):\n        if wrapper.calculated:\n            return None\n        sparsity = wrapper.config['sparsity']\n        masks = self.masker.calc_masks(sparsity, wrapper, wrapper_idx)\n        if masks is not None:\n            wrapper.calculated = True\n        return masks\n\n\nclass LevelPruner(OneshotPruner):\n    def __init__(self, model, config_list):\n        super().__init__(model, config_list, pruning_algorithm='level')\n\n\nclass WeightMasker:\n    def __init__(self, model, pruner, **kwargs):\n        self.model = model\n        self.pruner = pruner\n\n    def calc_masks(self, sparsity, wrapper, wrapper_idx=None):\n        raise NotImplementedError()\n\n\nclass LevelPrunerMasker(WeightMasker):\n    def calc_masks(self, sparsity, wrapper, wrapper_idx=None):\n        masks = {}\n        for weight_variable in wrapper.layer.weights:\n            if 'bias' in weight_variable.name:\n                continue\n\n            num_prune = int(tf.size(weight_variable).numpy() * sparsity)\n            if num_prune == 0:\n                continue\n\n            weight = weight_variable.read_value()\n            if wrapper.masks.get(weight_variable.name) is not None:\n                weight = tf.math.multiply(weight, wrapper.masks[weight_variable.name])\n\n            w_abs = tf.math.abs(weight)\n            k = tf.size(weight) - num_prune\n            topk = tf.math.top_k(tf.reshape(w_abs, [-1]), k)[0]\n            if tf.size(topk) == 0:\n                mask = tf.zeros_like(weight)\n            else:\n                mask = tf.math.greater_equal(w_abs, topk[-1])\n            masks[weight_variable.name] = tf.cast(mask, weight.dtype)\n        return masks\n\n\nMASKER_DICT = {\n    'level': LevelPrunerMasker,\n}\n"
  },
  {
    "path": "src/aup/compression/torch/__init__.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nfrom .speedup import ModelSpeedup\nfrom .pruning import *\nfrom .quantization import *\nfrom .compressor import Compressor, Pruner, Quantizer\n"
  },
  {
    "path": "src/aup/compression/torch/_graph_utils.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n\nimport logging\nimport queue\nimport re\nfrom collections import defaultdict\nimport torch\nfrom torch.utils.tensorboard._pytorch_graph import NodePy, NodePyIO, NodePyOP, GraphPy\nCLASSTYPE_KIND = 'ClassType'\nGETATTR_KIND = 'prim::GetAttr'\nCAT_KIND = 'aten::cat'\nLIST_CONSTRUCT_KIND = 'prim::ListConstruct'\nLIST_UNPACK_KIND = 'prim::ListUnpack'\nTUPLE_CONSTRUCT_KIND = 'prim::TupleConstruct'\nTUPLE_UNPACK_KIND = 'prim::TupleUnpack'\nCONSTANT_KIND = 'prim::Constant'\n\n_logger = logging.getLogger(__name__)\n\n\ndef build_module_graph(model, dummy_input):\n    return TorchModuleGraph(model, dummy_input)\n\n\ndef build_graph(model, dummy_input, verbose=False):\n    g = TorchProtoGraph(model, dummy_input, verbose)\n    return g.graph_def, g.stepstats\n\n\ndef parse_traced_name(module_name):\n    prefix = 'TracedModule['\n    suffix = ']'\n    if module_name.startswith(prefix) and module_name.endswith(suffix):\n        module_name = module_name[len(prefix):-len(suffix)]\n    return module_name\n\n\nclass TorchGraph:\n    \"\"\"\n    This class is to extract pytorch model topology graph by tracing\n    \"\"\"\n\n    def __init__(self, model=None, dummy_input=None, traced_model=None):\n        \"\"\"\n        Parameters\n        ----------\n        model : pytorch model\n            The model user wants to speed up\n        dummy_input : pytorch tensor\n            The dummy input for ```jit.trace```, users should put it on right device before pass in\n        traced_model : torch._C.torch.jit.TopLevelTracedModule\n            An alredy traced model, if traced_model is not None, then TorchGraph will build the graph\n            based on this traced model and won't trace the model again.\n        \"\"\"\n        assert torch.__version__ >= '1.3.1'\n        # check if the input is legal\n        if traced_model is not None:\n            assert isinstance(traced_model, torch.jit.TopLevelTracedModule)\n            self.trace = traced_model\n            # it's ok if the graph is already unpacked\n            torch._C._jit_pass_inline(self.trace.graph)\n        elif model is not None and dummy_input is not None:\n            self.bound_model = model\n            self._trace(model, dummy_input)\n        else:\n            raise Exception(\n                'Please provide model & dummy_input or the traced_model as inputs')\n\n    def _trace(self, model, dummy_input):\n        training = model.training\n        model.eval()\n        self.trace = torch.jit.trace(model, dummy_input)\n        torch._C._jit_pass_inline(self.trace.graph)\n        model.train(training)\n\n\nclass TorchProtoGraph(TorchGraph):\n    \"\"\"\n    Generates model graph for pytorch models in protobuf, this implementation\n    is borrowed from pytorch v1.4.0, and fixed following issues:\n    https://github.com/pytorch/pytorch/issues/33691\n    https://github.com/pytorch/pytorch/issues/33670\n\n    \"\"\"\n\n    def __init__(self, model, dummy_input, verbose=False):\n        super().__init__(model, dummy_input)\n\n        from tensorboard.compat.proto.config_pb2 import RunMetadata\n        from tensorboard.compat.proto.graph_pb2 import GraphDef\n        from tensorboard.compat.proto.step_stats_pb2 import StepStats, DeviceStepStats\n        from tensorboard.compat.proto.versions_pb2 import VersionDef\n\n        list_of_nodes = self.parse(self.trace.graph, self.trace, dummy_input)\n        if verbose:\n            print(self.trace.graph)\n        self.stepstats = RunMetadata(step_stats=StepStats(\n            dev_stats=[DeviceStepStats(device=\"/device:CPU:0\")]))\n        self.graph_def = GraphDef(\n            node=list_of_nodes, versions=VersionDef(producer=22))\n\n    def parse(self, graph, trace, args=None, omit_useless_nodes=True):\n        \"\"\"This method parses an optimized PyTorch model graph and produces\n        a list of nodes and node stats for eventual conversion to TensorBoard\n        protobuf format.\n\n        Args:\n        graph (PyTorch module): The model graph to be parsed.\n        trace (PyTorch JIT TracedModule): The model trace to be parsed.\n        args (tuple): input tensor[s] for the model.\n        omit_useless_nodes (boolean): Whether to remove nodes from the graph.\n        \"\"\"\n        nodes_py = GraphPy()\n        for node in graph.inputs():\n            if omit_useless_nodes:\n                if not node.uses():  # number of user of the node (= number of outputs/ fanout)\n                    continue\n\n            if node.type().kind() != CLASSTYPE_KIND:\n                nodes_py.append(NodePyIO(node, 'input'))\n\n        attr_to_scope = dict()\n\n        def node_to_name(d):\n            return str(d).split(\":\")[0].strip()\n        for node in graph.nodes():\n            if node.kind() == GETATTR_KIND:\n                attr_name = node.s('name')\n                node_name = node_to_name(node)\n                parent = node.input().node()\n                # If the parent node is not the top-level \"self\" node\n                if parent.kind() == GETATTR_KIND:\n                    parent_scope = attr_to_scope[node_to_name(parent)]\n                    attr_scope = parent_scope.split('/')[-1]\n                    attr_to_scope[node_name] = '{}/{}.{}'.format(\n                        parent_scope, attr_scope, attr_name)\n                else:\n                    attr_to_scope[node_name] = '__module.{}'.format(attr_name)\n                # We don't need classtype nodes; scope will provide this information\n                if node.output().type().kind() != CLASSTYPE_KIND:\n                    node_py = NodePyOP(node)\n                    node_py.scopeName = attr_to_scope[node_name]\n                    nodes_py.append(node_py)\n            else:\n                nodes_py.append(NodePyOP(node))\n\n        # Create sink nodes for output ops\n        for i, node in enumerate(graph.outputs()):\n            node_py = NodePyIO(node, 'output')\n            node_py.debugName = \"output.{}\".format(i + 1)\n            node_py.inputs = [node.debugName()]\n            nodes_py.append(node_py)\n\n        alias_to_name = dict()\n        base_name = parse_traced_name(trace._name)\n        for name, module in trace.named_modules(prefix='__module'):\n            mod_name = parse_traced_name(module._name)\n            attr_name = name.split('.')[-1]\n            alias_to_name[name] = '{}[{}]'.format(mod_name, attr_name)\n\n        for node in nodes_py.nodes_op:\n            module_aliases = node.scopeName.split('/')[-1].split('.')\n            module_name = ''\n            for i, alias in enumerate(module_aliases):\n                if i == 0:\n                    module_name = alias\n                    node.scopeName = base_name\n                else:\n                    module_name += '.' + alias\n                    node.scopeName += '/' + \\\n                        (alias_to_name[module_name]\n                         if module_name in alias_to_name else alias)\n\n        nodes_py.populate_namespace_from_OP_to_IO()\n        return nodes_py.to_proto()\n\n\nclass NodePyGroup(NodePy):\n    \"\"\"\n    This class is used to represent a graph node which consists of multiple jit traced nodes. In a pytorch trace graph,\n    there are multiple nodes are traced for one torch.nn.Module object, we group them together to form a single node to\n    represent the torch.nn.Module object. We also group some functional call trace nodes together to form a new node.\n    \"\"\"\n\n    def __init__(self, name, unique_name, node_type, op_type, node_cpps, inputs=None, outputs=None, key_node=None):\n        \"\"\"\n        Parameters:\n        -----------\n        name: str\n            node name, such as `conv1`, `backbone.classifier`\n        unique_name: str\n            A global unique name for current node. Due to some modules,\n            such as relu, may be reused several times, so the scopename\n            is not suitable as the global unique identifier, so we add a\n            unique_name for each node as the global unique identifier.\n            We should use the unique_name to traverset the module graph.\n        node_type: str\n            `module` or `func`\n        op_type: str\n            operation type, such as `Conv2d`, `aten::view`\n        node_cpps: list of torch._C.Node\n            jit trace nodes which are included in this new node\n        inputs: list of str\n            All the inputs of this node, each element is debugName of one input\n        outputs: list of str\n            All the outputs of this node, each element is debugName of one output\n        key_node: torch._C.Node\n            The key node of this NodePyGroup.\n        \"\"\"\n        super(NodePyGroup, self).__init__(name, [])\n        self.node_cpps = node_cpps\n        self.name = name\n        self.unique_name = unique_name\n        self.op_type = op_type\n        self.type = node_type\n        self.nodes = []\n        self.auxiliary = None\n        self.add_nodes(node_cpps)\n        self.inputs = inputs\n        self.outputs = outputs\n        # The core node in this NodePyGroup\n        self.key_node = key_node\n\n    def add_nodes(self, node_cpps):\n        for node_cpp in node_cpps:\n            nodepy = NodePyOP(node_cpp)\n            nodepy.name = node_cpp.scopeName() + '_' + node_cpp.kind()\n            self.nodes.append(nodepy)\n\n    def sub_node_names(self):\n        return [x.name for x in self.nodes]\n\n    def __repr__(self):\n        return 'name: {}, type: {}, op_type: {}, sub_nodes: {}, inputs: {}, outputs: {}, aux: {}'.format(\n            self.name, self.type, self.op_type, self.sub_node_names(),\n            self.inputs, self.outputs, self.auxiliary\n        )\n\n\nclass TorchModuleGraph(TorchGraph):\n    \"\"\"\n    Generates model graph, each node is created from single or multiple jit trace nodes.\n    \"\"\"\n\n    def __init__(self, model=None, dummy_input=None, traced_model=None):\n        super().__init__(model, dummy_input, traced_model)\n        self.global_count = 0\n        self.name_to_node, self.input_to_node, self.output_to_node = self._build_graph()\n        self._extract_auxiliary_info()\n\n    def _expand_key_func_node(self, node, nodes, input_to_node, output_to_node,\n                              module_type):\n        \"\"\"\n        For trace graph nodes, some nodes are not in modules, these nodes are usually generated by\n        the functions directly called in module ```forward```. For such nodes, some of them are\n        trivial op which are label by ```prim::```, some of them are not such ops which is call\n        non-prim ops. This function is to merge neighbor prim ops to a non-prim op, to construct\n        a node.\n\n        Parameters\n        ----------\n        node : trace graph node\n            The non-prim node to expand\n        nodes : list of trace graph node\n            All the trace graph nodes within the same scope as the non-prim node\n        input_to_node : dict\n            key: input name, value: a node that uses this input\n        output_to_node : dict\n            key: output name, value: a node that generates this output\n        module_type : str\n            can be 'module' or 'func'\n\n        Returns\n        -------\n        node\n            the expanded non-prim node\n        \"\"\"\n        # TODO: scope name could be empty\n        node_name = '.'.join([self._get_module_name(\n            node.scopeName()), node.kind(), str(self.global_count)])\n        unique_name = node_name\n        _logger.debug(\"expand non-prim node, node name: %s\", node_name)\n        self.global_count += 1\n        op_type = node.kind()\n        node_group = [node]\n        inputs = set()\n        outputs = set()\n        node_queue = queue.Queue()\n        node_queue.put(node)\n        while not node_queue.empty():\n            curr_node = node_queue.get()\n            for _input in curr_node.inputs():\n                if _input.node().kind() == CONSTANT_KIND:\n                    continue\n                input_name = _input.debugName()\n                if input_name in output_to_node:\n                    for predecessor_node in output_to_node[input_name]:\n                        if predecessor_node in nodes:\n                            if not self._is_key_func(predecessor_node):\n                                if predecessor_node not in node_group:\n                                    node_group.append(predecessor_node)\n                                    node_queue.put(predecessor_node)\n                            else:\n                                inputs.add(input_name)\n                        else:\n                            inputs.add(input_name)\n                else:\n                    inputs.add(input_name)\n        for output in node.outputs():\n            if output.node().kind() == CONSTANT_KIND:\n                continue\n            outputs.add(output.debugName())\n        nodepy = NodePyGroup(node_name, unique_name, module_type, op_type,\n                             node_group, inputs=list(inputs), outputs=list(outputs), key_node=node)\n        return nodepy\n\n    def _expand_module_node(self, node, node_name, unique_name, op_type, nodes,\n                            input_to_node, output_to_node, module_type):\n        \"\"\"\n        merge the adjacent nodes of the module. The difference between the\n        _expand_module_node and _expand_non_prim_node is that, the _expand_non_prim_node\n        only merge the prim:: nodes into the aten:: node, in contrast,the _expand_module_node\n        will merge all adjacent nodes into a same nodepy group.\n\n        Parameters\n        ----------\n        node : trace graph node\n            The non-prim node to expand\n        node_name : str\n            specify the node_name for NodePyGroup\n        unique_name : str\n            unique_name for the NodePyGroup\n        op_type : str\n            specify the op_type for the NodePyGroup\n        nodes : list of trace graph node\n            All the trace graph nodes within the same scope as the non-prim node\n        input_to_node : dict\n            key: input name, value: a node that uses this input\n        output_to_node : dict\n            key: output name, value: a node that generates this output\n        module_type : str\n            can be 'module' or 'func'\n        Returns\n        -------\n        node\n            the expanded non-prim node\n\n        \"\"\"\n        _logger.debug(\"expand module node, node name: %s\", node_name)\n        self.global_count += 1\n        if not op_type:\n            op_type = node.kind()\n        node_group = [node]\n        inputs = set()\n        outputs = set()\n        node_queue = queue.Queue()\n        node_queue.put(node)\n        visited = {node}\n        while not node_queue.empty():\n            curr_node = node_queue.get()\n            for _input in curr_node.inputs():\n                if _input.node().kind() == CONSTANT_KIND:\n                    continue\n                input_name = _input.debugName()\n                if input_name in output_to_node:\n                    for predecessor_node in output_to_node[input_name]:\n                        if predecessor_node in nodes:\n                            if predecessor_node not in visited:\n                                node_group.append(predecessor_node)\n                                node_queue.put(predecessor_node)\n                                visited.add(predecessor_node)\n                        else:\n                            inputs.add(input_name)\n                else:\n                    inputs.add(input_name)\n            for _output in curr_node.outputs():\n                if _output.node().kind() == CONSTANT_KIND:\n                    continue\n                output_name = _output.debugName()\n                if output_name in input_to_node:\n                    for successor_node in input_to_node[output_name]:\n                        if successor_node in nodes:\n                            if successor_node not in visited:\n                                node_group.append(successor_node)\n                                node_queue.put(successor_node)\n                                visited.add(successor_node)\n                        else:\n                            outputs.add(output_name)\n                else:\n                    outputs.add(output_name)\n\n        nodepy = NodePyGroup(node_name, unique_name, module_type, op_type,\n                             node_group, inputs=list(inputs), outputs=list(outputs))\n        return nodepy\n\n    def _extract_cat_info(self, node_group, cpp_node):\n        \"\"\"\n        Extract the detail information of the cat operation,\n        such the order of the input tensor, the shape of each\n        input tensor, the output shape, and the cat dimension.\n\n        Parameters\n        ----------\n        node_group : NodePyGroup\n        cpp_node: torch._C.Node\n            It should be ```aten::cat``` node\n\n        Returns\n        -------\n        dict\n            Include auxiliary information for the cat operation.\n            This dict objec has four keys: 'cat_dim', 'out_shape',\n            'in_order' and 'in_shape'. cat_dim is the dimension of\n            the cat operation to concat the input tensors. out_shape\n            is the shape of the output tensor of the cat operation.\n            in_order is an ordered list which contains the corresponding\n            parent operaion nodes of the input tensors. in_shape is also\n            an ordered list that contains the input shapes of the input\n            tensor.\n        \"\"\"\n        # only suport the cat operation\n        assert cpp_node.kind() == CAT_KIND\n        cat_info = {}\n        # get the shape of the output tensor\n        t_output = cpp_node.output()\n        out_shape = t_output.type().sizes()\n        cat_info['out_shape'] = out_shape\n        # get the cat dimension\n        inputs = cpp_node.inputs()\n        cat_dim = list(inputs)[1].toIValue()\n        cat_info['cat_dim'] = cat_dim\n        # get the order of the input tensors\n        # To get the order of the input tensors, we need\n        # to be aware of the topology of the model, which\n        # means we should extract the auxiliary information\n        # after the build_index function.\n        input_order = []\n        list_construct_cpp = list(cpp_node.inputs())[0].node()\n        input_tensors = list(list_construct_cpp.inputs())\n        for _tensor in input_tensors:\n            debug_name = _tensor.debugName()\n            input_order.append(self.output_to_node[debug_name].unique_name)\n        cat_info['in_order'] = input_order\n        input_shapes = [t.type().sizes() for t in input_tensors]\n        cat_info['in_shape'] = input_shapes\n        return cat_info\n\n    def _extract_linear_shape_info(self, node_group):\n        \"\"\"\n        Extract linear shape input/output tensor shape info from its aten::addmm op.\n\n        Parameters\n        ----------\n        node_group : NodePyGroup\n            NodePyGroup object associated with the linear module.\n\n        Returns\n        -------\n        dict\n            Include shape of input tensor and shape of output tensor\n        \"\"\"\n        for cpp_node in node_group.node_cpps:\n            if cpp_node.kind() == 'aten::addmm':\n                # https://github.com/pytorch/pytorch/blob/1.6/torch/nn/functional.py#L1682\n                # inputs of aten::addmm:\n                # inputs[0] is bias\n                # inputs[1] is input data\n                # inputs[2] is weight\n                t_input = list(cpp_node.inputs())[1]\n                t_output = cpp_node.output()\n                assert isinstance(t_input.type(), torch._C.TensorType)\n                assert isinstance(t_output.type(), torch._C.TensorType)\n                in_shape = t_input.type().sizes()\n                out_shape = t_output.type().sizes()\n                return {'in_shape': in_shape, 'out_shape': out_shape}\n        return None\n\n    def _extract_shape_info(self, node):\n        \"\"\"\n        Extract the shape information of ```aten::view``` node\n\n        Parameters\n        ----------\n        node : trace graph node\n            It should be ```aten::view``` node\n\n        Returns\n        -------\n        dict\n            Include shape of input tensor and shape of output tensor\n        \"\"\"\n        t_input = None\n        for _input in node.inputs():\n            t_input = _input\n            break\n        t_output = node.output()\n        assert isinstance(t_input.type(), torch._C.TensorType)\n        assert isinstance(t_output.type(), torch._C.TensorType)\n        in_shape = t_input.type().sizes()\n        out_shape = t_output.type().sizes()\n        return {'in_shape': in_shape, 'out_shape': out_shape}\n\n    def _extract_leaf_modules(self):\n        \"\"\"\n        Extract leaf modules from the given graph. Leaf module means it does not have submodules.\n        To extract leaf modules because only leaf module can be replaced. And shape inference can\n        be done in leaf module level. Other shape inference is done in lower level i.e.,\n        operation level.\n\n        Returns\n        -------\n        list\n            a list of scope name of all the leaf modules\n        \"\"\"\n        def is_parent(name1, name2):\n            \"\"\"\n            check if name1 is parent node of name2, for example:\n            name1: aa.bb,  name2: aa.bb.cc,  return True\n            name1: aa.b,  name2: aa.bb, return False\n            \"\"\"\n            parts1, parts2 = name1.split('.'), name2.split('.')\n            if len(parts1) >= len(parts2):\n                return False\n            for i, _ in enumerate(parts1):\n                if parts2[i] != parts1[i]:\n                    return False\n            return True\n        module_names = sorted([x[0]\n                               for x in self.trace.named_modules() if x[0]])\n        leaf_nodes = []\n        for i, name in enumerate(module_names):\n            if i + 1 >= len(module_names) or not is_parent(name, module_names[i + 1]):\n                leaf_nodes.append(name)\n        return leaf_nodes\n\n    def _get_module_name(self, scope_name):\n        \"\"\"\n        Retrieve module name from scope name.\n        Parameters:\n        -----------\n        scope_name: str\n            scope_name of a graph node, for example:\n            for pytorch 1.3.1: MyModel/BackboneModel[backbone]/Conv2d[conv2]\n            for pytorch 1.4.0: __module.backbone/__module.backbone.conv2\n\n        Returns:\n        -------\n        str\n            module name, such as backbone.conv2\n        \"\"\"\n        if torch.__version__ >= '1.4.0':\n            return scope_name.split('/')[-1].replace('__module.', '')\n        else:\n            return '.'.join(re.findall(r'\\[(.*?)\\]', scope_name))\n\n    def _build_index(self, nodes_op):\n        name_to_node = dict()\n        input_to_node = defaultdict(list)\n        output_to_node = dict()\n        for node in nodes_op:\n            name_to_node[node.unique_name] = node\n            for _input in node.inputs:\n                input_to_node[_input].append(node)\n            for output in node.outputs:\n                assert not output in output_to_node, \\\n                    \"One output cannot be generated by multiple nodes %s\" % output\n                output_to_node[output] = node\n        return name_to_node, input_to_node, output_to_node\n\n    def _is_key_func(self, node_cpp):\n        \"\"\"\n        Judge if a cpp node is a key function node.\n        If so, we should not merge this node into the\n        adjacent node.\n        \"\"\"\n        if node_cpp.kind().startswith('aten::'):\n            # the nodes that start with 'aten' are key function\n            # nodes\n            return True\n        if node_cpp.kind() in [LIST_UNPACK_KIND, TUPLE_UNPACK_KIND]:\n            # We cannot merge the List/Tuple\n            # Unpack func into other nodes, else it\n            # may lead to a graph construction error.\n            # The reason why we donnot take the construct node\n            # also as a key node is that `cat` operation node need\n            # the last(previous) visited node to infer the mask. If\n            # we take the Construct node as the important node, the\n            # predecessor of the `cat` node will always be a construct\n            # node, which means we cannot infer the mask for the cat\n            # operation.\n            return True\n        return False\n\n    def unpack_manually(self):\n        \"\"\"\n        Unpack the tensor tuple or tensor list manually,\n        and remove the ListUnpack/TupleUnpack node from\n        the graph. Note: this function will change the\n        graph structure.\n        \"\"\"\n        if hasattr(self, 'unpacked'):\n            # if already unpacked the tuple/list manually\n            return\n        for node in self.nodes_py.nodes_op:\n            if node.op_type in [TUPLE_UNPACK_KIND, LIST_UNPACK_KIND]:\n                unpack_cpp = node.key_node\n                last_cpp = list(unpack_cpp.inputs())[0].node()\n                if last_cpp.kind() in [TUPLE_CONSTRUCT_KIND, LIST_CONSTRUCT_KIND]:\n                    # we need check if the tensor tuple or tensor list is produced\n                    # by a list/tuple construct node. If so, we can unpack the tuple\n                    # or list manunally.\n                    _logger.debug('List/Tuple Construct Node(cpp) %s', str(last_cpp))\n                    _logger.debug('List/Tuple Unpack Node(cpp) %s', str(unpack_cpp))\n                    assert len(list(unpack_cpp.outputs())) == len(list(last_cpp.inputs()))\n                    errmsg = '%s Input number: %d if inconsistent with the output number %d' % (unpack_cpp, \\\n                        len(node.inputs), len(list(last_cpp.inputs())))\n\n                    assert len(node.inputs) == len(list(last_cpp.inputs())), errmsg\n                    for _debug_input, _debug_output in zip(node.inputs, node.outputs):\n                        # _debug_input = _input.debugName()\n                        # _debug_output = _output.debugName()\n                        if _debug_input in self.input_to_node and _debug_output in self.input_to_node:\n                            # input_to_node[_debug_input] is a list of NodePyGroup, because\n                            # one tensor can be used as input for multiple nodes at the same time.\n\n                            # note that, in this case, the construct cpp node and unpack cpp node\n                            # will be merged into the same NodePyGroup, so we remove the `node` from\n                            # input_to_node[_debug_input] and directly connect this tensor to the\n                            # input_to_node[_debug_output]\n                            self.input_to_node[_debug_input].remove(node)\n                            # add the following nodes of _output into the input_to_node[_debug_input]\n                            self.input_to_node[_debug_input].extend(self.input_to_node[_debug_output])\n                        # just remove the _debug_output from the grapgh index. So that we can also skip\n                        # the construct and tuple\n                        if _debug_output in self.input_to_node:\n                            for following_node in self.input_to_node[_debug_output]:\n                                _tmp_index = following_node.inputs.index(_debug_output)\n                                following_node.inputs[_tmp_index] = _debug_input\n\n\n        self.unpacked = True\n\n    def _build_graph(self):\n        \"\"\"\n        Build graph using our defined format from jit trace.\n        There are basically three steps: first, construct necessary information (data structures),\n        second, extract all the modules to convert to node, Third, extract all functions to convert\n        to node.\n\n        Returns\n        -------\n        dict\n            use name to index nodes, key: node name, value: node\n        dict\n            use input (its name) to index nodes,\n            key: input, value: list of nodes that take this input\n        dict\n            use output (its name) to index nodes,\n            key: output, value: node that generates this output\n        \"\"\"\n        omit_useless_nodes = True\n        graph = self.trace.graph\n        _logger.debug(graph)\n        # build input/output mapping, from input/output debugName to its node\n        input_to_node = defaultdict(list)\n        output_to_node = defaultdict(list)\n        for node in graph.nodes():\n            if node.kind() == CONSTANT_KIND:\n                continue\n            for x in node.outputs():\n                if x.node().kind() == CONSTANT_KIND:\n                    continue\n                output_to_node[x.debugName()].append(node)\n                assert len(output_to_node[x.debugName()]) <= 1, \"One output cannot be generated by multiple nodes %s\" % x.debugName()\n            for x in node.inputs():\n                if x.node().kind() == CONSTANT_KIND:\n                    continue\n                input_to_node[x.debugName()].append(node)\n\n        # build module mapping, from module name to all nodes (as list) under this module scope\n        module_to_nodes = defaultdict(list)\n        # the mapping of function (non-module in forward) to nodes, key is scope name\n        func_to_nodes = defaultdict(list)\n\n        nodes_py = GraphPy()\n        for node in graph.inputs():\n            if omit_useless_nodes:\n                if not node.uses():  # number of user of the node (= number of outputs/ fanout)\n                    continue\n\n            if node.type().kind() != 'ClassType':\n                nodes_py.append(NodePyIO(node, 'input'))\n\n        self.leaf_modules = self._extract_leaf_modules()\n        module_to_type = {name: parse_traced_name(\n            module._name) for name, module in self.trace.named_modules()}\n\n        # associate module name with their trace graph nodes\n        for node in graph.nodes():\n            if node.kind() == CONSTANT_KIND:\n                continue\n            module_name = self._get_module_name(node.scopeName())\n            if module_name in self.leaf_modules:\n                module_to_nodes[module_name].append(node)\n            else:\n                func_to_nodes[node.scopeName()].append(node)\n        # build node group for module\n        for module_name, node_cpps in module_to_nodes.items():\n            use_count = 0\n            merged = set()\n            for node in node_cpps:\n                if node not in merged:\n                    # modules that have same scope name may have different locations in the\n                    # graph. Futhermore, there are also lots of prim:: nodes that in node_cpps,\n                    # so we also need to call the expand_module_node.\n                    unique_name = module_name\n                    if use_count > 0:\n                        unique_name = module_name + '.%d' % use_count\n                    node_group = self._expand_module_node(\n                        node, module_name, unique_name, module_to_type[module_name],\n                        node_cpps, input_to_node, output_to_node, 'module')\n                    nodes_py.nodes_op.append(node_group)\n                    use_count += 1\n                    merged.update(node_group.node_cpps)\n\n        # each scope_name may have multiple funcs, we split them and create node for each of them\n        # build node group for torch.nn.functional\n        for _, nodes in func_to_nodes.items():\n            # extract non prim:: nodes\n            key_func_nodes = list()\n            for node in nodes:\n                if self._is_key_func(node):\n                    # find the key function nodes\n                    key_func_nodes.append(node)\n            # for each non prim node, expand it\n            for node in key_func_nodes:\n                node_group = self._expand_key_func_node(\n                    node, nodes, input_to_node, output_to_node, 'func')\n                nodes_py.nodes_op.append(node_group)\n                # get shape infor for view (aten::view) func\n                # if node_group.op_type in ['aten::view', 'aten::flatten']:\n                #     node_group.auxiliary = self._extract_shape_info(node)\n\n        for node in graph.outputs():  # Create sink nodes for output ops\n            node_py = NodePyIO(node, 'output')\n            nodes_py.append(node_py)\n\n        self.nodes_py = nodes_py\n        # build index\n        return self._build_index(self.nodes_py.nodes_op)\n\n    def _extract_auxiliary_info(self):\n        \"\"\"\n        Extract the auxiliary information for the nodegroups\n        if necessary. For example, view/flatten operations may\n        need the shape of the input tensor and output tensor.\n        \"\"\"\n        # extract the input & output shape for the view and flatten\n        for node_group in self.nodes_py.nodes_op:\n            if node_group.op_type in ['aten::view', 'aten::flatten', 'aten::mean', 'aten::reshape']:\n                # get shape infor for view (aten::view) func\n                cpp_node = list(filter(lambda x: x.kind() == node_group.op_type,\n                                       node_group.node_cpps))[0]\n                node_group.auxiliary = self._extract_shape_info(cpp_node)\n            elif node_group.op_type == 'Linear':\n                node_group.auxiliary = self._extract_linear_shape_info(node_group)\n            elif node_group.op_type == CAT_KIND:\n                # get the detail information for cat func\n                cpp_node = list(filter(lambda x: x.kind() == node_group.op_type,\n                                       node_group.node_cpps))[0]\n                node_group.auxiliary = self._extract_cat_info(\n                    node_group, cpp_node)\n\n    def find_predecessors(self, unique_name):\n        \"\"\"\n        Find predecessor node of the given node\n\n        Parameters\n        ----------\n        unique_name : str\n            The unique name of the node\n\n        Returns\n        -------\n        list\n            a list of nodes who are the given node's predecessor\n        \"\"\"\n        predecessors = []\n        for _input in self.name_to_node[unique_name].inputs:\n            if not _input in self.output_to_node:\n                _logger.debug(\"cannot find node with %s as its output\", _input)\n            else:\n                node_py = self.output_to_node[_input]\n                predecessors.append(node_py.unique_name)\n        return predecessors\n\n    def find_successors(self, unique_name):\n        \"\"\"\n        Find successor nodes of the given node\n\n        Parameters\n        ----------\n        unique_name : str\n            The unique name of the node\n\n        Returns\n        -------\n        list\n            a list of nodes who are the given node's successor\n        \"\"\"\n        successors = []\n        for output in self.name_to_node[unique_name].outputs:\n            if output not in self.input_to_node:\n                # may reach the output of the whole graph\n                continue\n            nodes_py = self.input_to_node[output]\n            for node_py in nodes_py:\n                successors.append(node_py.unique_name)\n        return successors\n"
  },
  {
    "path": "src/aup/compression/torch/compressor.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport types\nimport logging\nimport torch\nfrom . import default_layers\n\n_logger = logging.getLogger(__name__)\n\n\nclass LayerInfo:\n    def __init__(self, name, module):\n        self.module = module\n        self.name = name\n        self.type = type(module).__name__\n\ndef _setattr(model, name, module):\n    name_list = name.split(\".\")\n    for name in name_list[:-1]:\n        model = getattr(model, name)\n    setattr(model, name_list[-1], module)\n\n\nclass Compressor:\n    \"\"\"\n    Abstract base PyTorch compressor\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        \"\"\"\n        Record necessary info in class members\n\n        Parameters\n        ----------\n        model : pytorch model\n            the model user wants to compress\n        config_list : list\n            the configurations that users specify for compression\n        optimizer: pytorch optimizer\n            optimizer used to train the model\n        \"\"\"\n        assert isinstance(model, torch.nn.Module)\n        self.validate_config(model, config_list)\n\n        self.bound_model = model\n        self.config_list = config_list\n        self.optimizer = optimizer\n\n        self.modules_to_compress = None\n        self.modules_wrapper = []\n        self.is_wrapped = False\n\n        self._fwd_hook_handles = {}\n        self._fwd_hook_id = 0\n\n        self.reset()\n\n        if not self.modules_wrapper:\n            _logger.warning('Nothing is configured to compress, please check your model and config_list')\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        subclass can optionally implement this method to check if config_list if valid\n        \"\"\"\n        pass\n\n    def reset(self, checkpoint=None):\n        \"\"\"\n        reset model state dict and model wrapper\n        \"\"\"\n        self._unwrap_model()\n        if checkpoint is not None:\n            self.bound_model.load_state_dict(checkpoint)\n\n        self.modules_to_compress = None\n        self.modules_wrapper = []\n\n        for layer, config in self._detect_modules_to_compress():\n            wrapper = self._wrap_modules(layer, config)\n            self.modules_wrapper.append(wrapper)\n\n        self._wrap_model()\n\n    def _detect_modules_to_compress(self):\n        \"\"\"\n        detect all modules should be compressed, and save the result in `self.modules_to_compress`.\n        The model will be instrumented and user should never edit it after calling this method.\n        \"\"\"\n        if self.modules_to_compress is None:\n            self.modules_to_compress = []\n            for name, module in self.bound_model.named_modules():\n                if module == self.bound_model:\n                    continue\n                layer = LayerInfo(name, module)\n                config = self.select_config(layer)\n                if config is not None:\n                    self.modules_to_compress.append((layer, config))\n        return self.modules_to_compress\n\n    def _wrap_model(self):\n        \"\"\"\n        wrap all modules that needed to be compressed\n\n        \"\"\"\n        for wrapper in reversed(self.get_modules_wrapper()):\n            _setattr(self.bound_model, wrapper.name, wrapper)\n        self.is_wrapped = True\n\n    def _unwrap_model(self):\n        \"\"\"\n        unwrap all modules that needed to be compressed\n\n        \"\"\"\n        for wrapper in self.get_modules_wrapper():\n            _setattr(self.bound_model, wrapper.name, wrapper.module)\n        self.is_wrapped = False\n\n    def compress(self):\n        \"\"\"\n        Compress the model with algorithm implemented by subclass.\n\n        The model will be instrumented and user should never edit it after calling this method.\n        `self.modules_to_compress` records all the to-be-compressed layers\n\n        Returns\n        -------\n        torch.nn.Module\n            model with specified modules compressed.\n        \"\"\"\n        return self.bound_model\n\n    def set_wrappers_attribute(self, name, value):\n        \"\"\"\n        To register attributes used in wrapped module's forward method.\n        If the type of the value is Torch.tensor, then this value is registered as a buffer in wrapper,\n        which will be saved by model.state_dict. Otherwise, this value is just a regular variable in wrapper.\n\n        Parameters\n        ----------\n        name : str\n            name of the variable\n        value: any\n            value of the variable\n        \"\"\"\n        for wrapper in self.get_modules_wrapper():\n            if isinstance(value, torch.Tensor):\n                wrapper.register_buffer(name, value.clone())\n            else:\n                setattr(wrapper, name, value)\n\n    def get_modules_to_compress(self):\n        \"\"\"\n        To obtain all the to-be-compressed modules.\n\n        Returns\n        -------\n        list\n            a list of the layers, each of which is a tuple (`layer`, `config`),\n            `layer` is `LayerInfo`, `config` is a `dict`\n        \"\"\"\n        return self.modules_to_compress\n\n    def get_modules_wrapper(self):\n        \"\"\"\n        To obtain all the wrapped modules.\n\n        Returns\n        -------\n        list\n            a list of the wrapped modules\n        \"\"\"\n        return self.modules_wrapper\n\n    def select_config(self, layer):\n        \"\"\"\n        Find the configuration for `layer` by parsing `self.config_list`\n\n        Parameters\n        ----------\n        layer : LayerInfo\n            one layer\n\n        Returns\n        -------\n        config or None\n            the retrieved configuration for this layer, if None, this layer should\n            not be compressed\n        \"\"\"\n        ret = None\n        for config in self.config_list:\n            config = config.copy()\n            # expand config if key `default` is in config['op_types']\n            if 'op_types' in config and 'default' in config['op_types']:\n                expanded_op_types = []\n                for op_type in config['op_types']:\n                    if op_type == 'default':\n                        expanded_op_types.extend(default_layers.weighted_modules)\n                    else:\n                        expanded_op_types.append(op_type)\n                config['op_types'] = expanded_op_types\n\n            # check if condition is satisified\n            if 'op_types' in config and layer.type not in config['op_types']:\n                continue\n            if 'op_names' in config and layer.name not in config['op_names']:\n                continue\n\n            ret = config\n        if ret is None or 'exclude' in ret:\n            return None\n        return ret\n\n    def update_epoch(self, epoch):\n        \"\"\"\n        If user want to update model every epoch, user can override this method.\n        This method should be called at the beginning of each epoch\n\n        Parameters\n        ----------\n        epoch : num\n            the current epoch number\n        \"\"\"\n        pass\n\n    def _wrap_modules(self, layer, config):\n        \"\"\"\n        This method is implemented in the subclasses, i.e., `Pruner` and `Quantizer`\n\n        Parameters\n        ----------\n        layer : LayerInfo\n            the layer to instrument the compression operation\n        config : dict\n            the configuration for compressing this layer\n        \"\"\"\n        raise NotImplementedError()\n\n\n    def add_activation_collector(self, collector):\n        self._fwd_hook_id += 1\n        self._fwd_hook_handles[self._fwd_hook_id] = []\n        for wrapper in self.get_modules_wrapper():\n            handle = wrapper.register_forward_hook(collector)\n            self._fwd_hook_handles[self._fwd_hook_id].append(handle)\n        return self._fwd_hook_id\n\n    def remove_activation_collector(self, fwd_hook_id):\n        if fwd_hook_id not in self._fwd_hook_handles:\n            raise ValueError(\"%s is not a valid collector id\" % str(fwd_hook_id))\n        for handle in self._fwd_hook_handles[fwd_hook_id]:\n            handle.remove()\n        del self._fwd_hook_handles[fwd_hook_id]\n\n    def patch_optimizer(self, *tasks):\n        def patch_step(old_step):\n            def new_step(_, *args, **kwargs):\n                # call origin optimizer step method\n                output = old_step(*args, **kwargs)\n                # calculate mask\n                for task in tasks:\n                    task()\n                return output\n            return new_step\n        if self.optimizer is not None:\n            self.optimizer.step = types.MethodType(patch_step(self.optimizer.step), self.optimizer)\n\nclass PrunerModuleWrapper(torch.nn.Module):\n    def __init__(self, module, module_name, module_type, config, pruner):\n        \"\"\"\n        Wrap an module to enable data parallel, forward method customization and buffer registeration.\n\n        Parameters\n        ----------\n        module : pytorch module\n            the module user wants to compress\n        config : dict\n            the configurations that users specify for compression\n        module_name : str\n            the name of the module to compress, wrapper module shares same name\n        module_type : str\n            the type of the module to compress\n        pruner ： Pruner\n            the pruner used to calculate mask\n        \"\"\"\n        super().__init__()\n        # origin layer information\n        self.module = module\n        self.name = module_name\n        self.type = module_type\n        # config and pruner\n        self.config = config\n        self.pruner = pruner\n\n        # register buffer for mask\n        self.register_buffer(\"weight_mask\", torch.ones(self.module.weight.shape))\n        if hasattr(self.module, 'bias') and self.module.bias is not None:\n            self.register_buffer(\"bias_mask\", torch.ones(self.module.bias.shape))\n        else:\n            self.register_buffer(\"bias_mask\", None)\n\n    def forward(self, *inputs):\n        # apply mask to weight, bias\n        self.module.weight.data = self.module.weight.data.mul_(self.weight_mask)\n        if hasattr(self.module, 'bias') and self.module.bias is not None:\n            self.module.bias.data = self.module.bias.data.mul_(self.bias_mask)\n        return self.module(*inputs)\n\nclass Pruner(Compressor):\n    \"\"\"\n    Prune to an exact pruning level specification\n\n    Attributes\n    ----------\n    mask_dict : dict\n        Dictionary for saving masks, `key` should be layer name and\n        `value` should be a tensor which has the same shape with layer's weight\n\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        super().__init__(model, config_list, optimizer)\n        if optimizer is not None:\n            self.patch_optimizer(self.update_mask)\n\n    def compress(self):\n        self.update_mask()\n        return self.bound_model\n\n    def update_mask(self):\n        for wrapper_idx, wrapper in enumerate(self.get_modules_wrapper()):\n            masks = self.calc_mask(wrapper, wrapper_idx=wrapper_idx)\n            if masks is not None:\n                for k in masks:\n                    assert hasattr(wrapper, k), \"there is no attribute '%s' in wrapper\" % k\n                    setattr(wrapper, k, masks[k])\n\n    def calc_mask(self, wrapper, **kwargs):\n        \"\"\"\n        Pruners should overload this method to provide mask for weight tensors.\n        The mask must have the same shape and type comparing to the weight.\n        It will be applied with `mul()` operation on the weight.\n        This method is effectively hooked to `forward()` method of the model.\n\n        Parameters\n        ----------\n        wrapper : Module\n            calculate mask for `wrapper.module`'s weight\n        \"\"\"\n        raise NotImplementedError(\"Pruners must overload calc_mask()\")\n\n    def _wrap_modules(self, layer, config):\n        \"\"\"\n        Create a wrapper module to replace the original one.\n\n        Parameters\n        ----------\n        layer : LayerInfo\n            the layer to instrument the mask\n        config : dict\n            the configuration for generating the mask\n        \"\"\"\n        _logger.debug(\"Module detected to compress : %s.\", layer.name)\n        wrapper = PrunerModuleWrapper(layer.module, layer.name, layer.type, config, self)\n        assert hasattr(layer.module, 'weight'), \"module %s does not have 'weight' attribute\" % layer.name\n        # move newly registered buffers to the same device of weight\n        wrapper.to(layer.module.weight.device)\n        return wrapper\n\n    def get_mask_dict(self):\n        \"\"\"\n        Builds mask dictionary for saving to disk or otherwise\n        \n        Returns\n        -------\n        mask_dict\n            dictionary containing weight and bias pruning masks\n\n        \"\"\"\n        mask_dict = {}\n        for wrapper in self.get_modules_wrapper():\n            weight_mask = wrapper.weight_mask\n            bias_mask = wrapper.bias_mask\n            if weight_mask is not None:\n                mask_sum = weight_mask.sum().item()\n                mask_num = weight_mask.numel()\n                _logger.debug('Layer: %s  Sparsity: %.4f', wrapper.name, 1 - mask_sum / mask_num)\n                wrapper.module.weight.data = wrapper.module.weight.data.mul(weight_mask)\n            if bias_mask is not None:\n                wrapper.module.bias.data = wrapper.module.bias.data.mul(bias_mask)\n            # save mask to dict\n            mask_dict[wrapper.name] = {\"weight\": weight_mask, \"bias\": bias_mask}\n        return mask_dict\n\n    def export_model(self, model_path, mask_path=None, onnx_path=None, input_shape=None, device=None):\n        \"\"\"\n        Export pruned model weights, masks and onnx model(optional)\n\n        Parameters\n        ----------\n        model_path : str\n            path to save pruned model state_dict\n        mask_path : str\n            (optional) path to save mask dict\n        onnx_path : str\n            (optional) path to save onnx model\n        input_shape : list or tuple\n            input shape to onnx model\n        device : torch.device\n            device of the model, used to place the dummy input tensor for exporting onnx file.\n            the tensor is placed on cpu if ```device``` is None\n        \"\"\"\n        assert model_path is not None, 'model_path must be specified'\n\n        self._unwrap_model() # used for generating correct state_dict name without wrapper state\n        mask_dict = self.get_mask_dict()\n\n        torch.save(self.bound_model.state_dict(), model_path)\n        _logger.info('Model state_dict saved to %s', model_path)\n        if mask_path is not None:\n            torch.save(mask_dict, mask_path)\n            _logger.info('Mask dict saved to %s', mask_path)\n        if onnx_path is not None:\n            assert input_shape is not None, 'input_shape must be specified to export onnx model'\n            # input info needed\n            if device is None:\n                device = torch.device('cpu')\n            input_data = torch.Tensor(*input_shape)\n            torch.onnx.export(self.bound_model, input_data.to(device), onnx_path)\n            _logger.info('Model in onnx with input shape %s saved to %s', input_data.shape, onnx_path)\n\n        self._wrap_model()\n\n    def load_model_state_dict(self, model_state):\n        \"\"\"\n        Load the state dict saved from unwrapped model.\n\n        Parameters:\n        -----------\n        model_state : dict\n            state dict saved from unwrapped model\n        \"\"\"\n        if self.is_wrapped:\n            self._unwrap_model()\n            self.bound_model.load_state_dict(model_state)\n            self._wrap_model()\n        else:\n            self.bound_model.load_state_dict(model_state)\n\nclass QuantizerModuleWrapper(torch.nn.Module):\n    def __init__(self, module, module_name, module_type, config, quantizer):\n        \"\"\"\n        Wrap an module to enable data parallel, forward method customization and buffer registeration.\n\n        Parameters\n        ----------\n        module : pytorch module\n            the module user wants to compress\n        config : dict\n            the configurations that users specify for compression\n        module_name : str\n            the name of the module to compress, wrapper module shares same name\n        module_type : str\n            the type of the module to compress\n        quantizer ：quantizer\n            the quantizer used to calculate mask\n        \"\"\"\n        super().__init__()\n        # origin layer information\n        self.module = module\n        self.name = module_name\n        self.type = module_type\n        # config and pruner\n        self.config = config\n        self.quantizer = quantizer\n\n        # register buffer and parameter\n        # old_weight is used to store origin weight and weight is used to store quantized weight\n        # the reason why weight is buffer instead of parameter is because in pytorch parameter is used as leaf\n        # if weight is leaf , then old_weight can not be updated.\n        if 'weight' in config['quant_types']:\n            if not _check_weight(self.module):\n                _logger.warning('Module %s does not have parameter \"weight\"', self.name)\n            else:\n                self.module.register_parameter('old_weight', torch.nn.Parameter(self.module.weight))\n                delattr(self.module, 'weight')\n                self.module.register_buffer('weight', self.module.old_weight)\n\n    def forward(self, *inputs):\n        if 'input' in self.config['quant_types']:\n            inputs = self.quantizer.quant_grad.apply(\n                inputs,\n                QuantType.QUANT_INPUT,\n                self)\n\n        if 'weight' in self.config['quant_types'] and _check_weight(self.module):\n            self.quantizer.quant_grad.apply(\n                self.module.old_weight,\n                QuantType.QUANT_WEIGHT,\n                self)\n            result = self.module(*inputs)\n        else:\n            result = self.module(*inputs)\n\n        if 'output' in self.config['quant_types']:\n            result = self.quantizer.quant_grad.apply(\n                result,\n                QuantType.QUANT_OUTPUT,\n                self)\n        return result\n\nclass Quantizer(Compressor):\n    \"\"\"\n    Base quantizer for pytorch quantizer\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        super().__init__(model, config_list, optimizer)\n        self.quant_grad = QuantGrad\n        if self.optimizer is not None:\n            self.patch_optimizer(self.step_with_optimizer)\n            for wrapper in self.get_modules_wrapper():\n                if 'weight' in wrapper.config['quant_types']:\n                    # old_weight is registered to keep track of weight before quantization\n                    # and it is trainable, therefore, it should be added to optimizer.\n                    self.optimizer.add_param_group({\"params\": wrapper.module.old_weight})\n\n    def quantize_weight(self, weight, wrapper, **kwargs):\n        \"\"\"\n        quantize should overload this method to quantize weight.\n        This method is effectively hooked to :meth:`forward` of the model.\n        Parameters\n        ----------\n        weight : Tensor\n            weight that needs to be quantized\n        wrapper : QuantizerModuleWrapper\n            the wrapper for origin module\n        \"\"\"\n        raise NotImplementedError('Quantizer must overload quantize_weight()')\n\n    def quantize_output(self, output, wrapper, **kwargs):\n        \"\"\"\n        quantize should overload this method to quantize output.\n        This method is effectively hooked to :meth:`forward` of the model.\n        Parameters\n        ----------\n        output : Tensor\n            output that needs to be quantized\n        wrapper : QuantizerModuleWrapper\n            the wrapper for origin module\n        \"\"\"\n        raise NotImplementedError('Quantizer must overload quantize_output()')\n\n    def quantize_input(self, *inputs, wrapper, **kwargs):\n        \"\"\"\n        quantize should overload this method to quantize input.\n        This method is effectively hooked to :meth:`forward` of the model.\n        Parameters\n        ----------\n        inputs : Tensor\n            inputs that needs to be quantized\n        wrapper : QuantizerModuleWrapper\n            the wrapper for origin module\n        \"\"\"\n        raise NotImplementedError('Quantizer must overload quantize_input()')\n\n\n    def _wrap_modules(self, layer, config):\n        \"\"\"\n        Create a wrapper forward function to replace the original one.\n        Parameters\n        ----------\n        layer : LayerInfo\n            the layer to instrument the mask\n        config : dict\n            the configuration for quantization\n        \"\"\"\n        assert 'quant_types' in config, 'must provide quant_types in config'\n        assert isinstance(config['quant_types'], list), 'quant_types must be list type'\n        assert 'quant_bits' in config, 'must provide quant_bits in config'\n        assert isinstance(config['quant_bits'], int) or isinstance(config['quant_bits'], dict), 'quant_bits must be dict type or int type'\n\n        if isinstance(config['quant_bits'], dict):\n            for quant_type in config['quant_types']:\n                assert quant_type in config['quant_bits'], 'bits length for %s must be specified in quant_bits dict' % quant_type\n\n        return QuantizerModuleWrapper(layer.module, layer.name, layer.type, config, self)\n\n    def step_with_optimizer(self):\n        pass\n\nclass QuantType:\n    \"\"\"\n    Enum class for quantization type.\n    \"\"\"\n    QUANT_INPUT = 0\n    QUANT_WEIGHT = 1\n    QUANT_OUTPUT = 2\n\nQType_Dict = {\n    0: \"input\",\n    1: \"weight\",\n    2: \"output\"\n}\n\nclass QuantGrad(torch.autograd.Function):\n    \"\"\"\n    Base class for overriding backward function of quantization operation.\n    \"\"\"\n    @classmethod\n    def _quantize(cls, x, scale, zero_point):\n        \"\"\"\n        Reference function for quantizing x -- non-clamped.\n        Parameters\n        ----------\n        x : Tensor\n            tensor to be quantized\n        scale : Tensor\n            scale for quantizing x\n        zero_point : Tensor\n            zero_point for quantizing x\n        Returns\n        -------\n        tensor\n            quantized x without clamped\n        \"\"\"\n        return ((x / scale) + zero_point).round()\n    @classmethod\n    def get_bits_length(cls, config, quant_type):\n        \"\"\"\n        Get bit for quantize config\n        Parameters\n        ----------\n        config : Dict\n            the configuration for quantization\n        quant_type : str\n            quant type\n        Returns\n        -------\n        int\n            n-bits for quantization configuration\n        \"\"\"\n        if isinstance(config[\"quant_bits\"], int):\n            return config[\"quant_bits\"]\n        else:\n            return config[\"quant_bits\"].get(quant_type)\n\n    @staticmethod\n    def quant_backward(tensor, grad_output, quant_type, scale, zero_point, qmin, qmax):\n        \"\"\"\n        This method should be overrided by subclass to provide customized backward function,\n        default implementation is Straight-Through Estimator\n        Parameters\n        ----------\n        tensor : Tensor\n            input of quantization operation\n        grad_output : Tensor\n            gradient of the output of quantization operation\n        scale : Tensor\n            the type of quantization, it can be `QuantType.QUANT_INPUT`, `QuantType.QUANT_WEIGHT`, `QuantType.QUANT_OUTPUT`,\n            you can define different behavior for different types.\n        zero_point : Tensor\n            zero_point for quantizing tensor\n        qmin : Tensor\n            quant_min for quantizing tensor\n        qmax : Tensor\n            quant_max for quantizng tensor\n        Returns\n        -------\n        tensor\n            gradient of the input of quantization operation\n        \"\"\"\n        return grad_output\n\n    @staticmethod\n    def forward(ctx, tensor, quant_type, wrapper, **kwargs):\n        if quant_type == QuantType.QUANT_INPUT:\n            output = wrapper.quantizer.quantize_input(tensor, wrapper, **kwargs)\n        elif quant_type == QuantType.QUANT_WEIGHT:\n            output = wrapper.quantizer.quantize_weight(wrapper, **kwargs)\n        elif quant_type == QuantType.QUANT_OUTPUT:\n            output = wrapper.quantizer.quantize_output(tensor, wrapper, **kwargs)\n        else:\n            raise ValueError(\"unrecognized QuantType.\")\n\n\n        bits = QuantGrad.get_bits_length(wrapper.config, QType_Dict[quant_type])\n        qmin, qmax = torch.Tensor([0]).to(tensor.device), torch.Tensor([(1 << bits) - 1]).to(tensor.device)\n        if hasattr(wrapper.module, 'scale') and hasattr(wrapper.module, 'zero_point'):\n            scale = wrapper.module.scale\n            zero_point = wrapper.module.zero_point\n        else:\n            scale, zero_point = None, None\n        ctx.save_for_backward(tensor, torch.Tensor([quant_type]), scale, zero_point, qmin, qmax)\n        return output\n\n    @classmethod\n    def backward(cls, ctx, grad_output):\n        tensor, quant_type, scale, zero_point, qmin, qmax = ctx.saved_variables\n        output = cls.quant_backward(tensor, grad_output, quant_type, scale, zero_point, qmin, qmax)\n        return output, None, None, None\n\ndef _check_weight(module):\n    try:\n        return isinstance(module.weight.data, torch.Tensor)\n    except AttributeError:\n        return False\n"
  },
  {
    "path": "src/aup/compression/torch/default_layers.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nweighted_modules = [\n    'Conv1d', 'Conv2d', 'Conv3d', 'ConvTranspose1d', 'ConvTranspose2d', 'ConvTranspose3d',\n    'Linear', 'Bilinear',\n    'PReLU',\n    'Embedding', 'EmbeddingBag',\n]\n"
  },
  {
    "path": "src/aup/compression/torch/parameter_expressions.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n'''\nparameter_expression.py\n'''\n\nimport numpy as np\n\n\ndef choice(options, random_state):\n    '''\n    options: 1-D array-like or int\n    random_state: an object of numpy.random.RandomState\n    '''\n    return random_state.choice(options)\n\n\ndef randint(lower, upper, random_state):\n    '''\n    Generate a random integer from `lower` (inclusive) to `upper` (exclusive).\n    lower: an int that represent an lower bound\n    upper: an int that represent an upper bound\n    random_state: an object of numpy.random.RandomState\n    '''\n    return random_state.randint(lower, upper)\n\n\ndef uniform(low, high, random_state):\n    '''\n    low: an float that represent an lower bound\n    high: an float that represent an upper bound\n    random_state: an object of numpy.random.RandomState\n    '''\n    assert high >= low, 'Upper bound must be larger than lower bound'\n    return random_state.uniform(low, high)\n\n\ndef quniform(low, high, q, random_state):\n    '''\n    low: an float that represent an lower bound\n    high: an float that represent an upper bound\n    q: sample step\n    random_state: an object of numpy.random.RandomState\n    '''\n    return np.clip(np.round(uniform(low, high, random_state) / q) * q, low, high)\n\n\ndef loguniform(low, high, random_state):\n    '''\n    low: an float that represent an lower bound\n    high: an float that represent an upper bound\n    random_state: an object of numpy.random.RandomState\n    '''\n    assert low > 0, 'Lower bound must be positive'\n    return np.exp(uniform(np.log(low), np.log(high), random_state))\n\n\ndef qloguniform(low, high, q, random_state):\n    '''\n    low: an float that represent an lower bound\n    high: an float that represent an upper bound\n    q: sample step\n    random_state: an object of numpy.random.RandomState\n    '''\n    return np.clip(np.round(loguniform(low, high, random_state) / q) * q, low, high)\n\n\ndef normal(mu, sigma, random_state):\n    '''\n    The probability density function of the normal distribution,\n    first derived by De Moivre and 200 years later by both Gauss and Laplace independently.\n    mu: float or array_like of floats\n        Mean (“centre”) of the distribution.\n    sigma: float or array_like of floats\n           Standard deviation (spread or “width”) of the distribution.\n    random_state: an object of numpy.random.RandomState\n    '''\n    return random_state.normal(mu, sigma)\n\n\ndef qnormal(mu, sigma, q, random_state):\n    '''\n    mu: float or array_like of floats\n    sigma: float or array_like of floats\n    q: sample step\n    random_state: an object of numpy.random.RandomState\n    '''\n    return np.round(normal(mu, sigma, random_state) / q) * q\n\n\ndef lognormal(mu, sigma, random_state):\n    '''\n    mu: float or array_like of floats\n    sigma: float or array_like of floats\n    random_state: an object of numpy.random.RandomState\n    '''\n    return np.exp(normal(mu, sigma, random_state))\n\n\ndef qlognormal(mu, sigma, q, random_state):\n    '''\n    mu: float or array_like of floats\n    sigma: float or array_like of floats\n    q: sample step\n    random_state: an object of numpy.random.RandomState\n    '''\n    return np.round(lognormal(mu, sigma, random_state) / q) * q\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/__init__.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nfrom .finegrained_pruning import *\nfrom .structured_pruning import *\nfrom .apply_compression import apply_compression_results\nfrom .one_shot import *\nfrom .agp import *\nfrom .lottery_ticket import LotteryTicketPruner\nfrom .simulated_annealing_pruner import SimulatedAnnealingPruner\nfrom .net_adapt_pruner import NetAdaptPruner\nfrom .admm_pruner import ADMMPruner\nfrom .auto_compress_pruner import AutoCompressPruner\nfrom .sensitivity_pruner import SensitivityPruner\nfrom .amc import AMCPruner\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/admm_pruner.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport logging\nimport torch\nfrom schema import And, Optional\nimport copy\n\nfrom ..utils.config_validation import CompressorSchema\nfrom .constants import MASKER_DICT\nfrom .one_shot import OneshotPruner\n\n\n_logger = logging.getLogger(__name__)\n\n\nclass ADMMPruner(OneshotPruner):\n    \"\"\"\n    A Pytorch implementation of ADMM Pruner algorithm.\n\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned.\n    config_list : list\n        List on pruning configs.\n    trainer : function\n        Function used for the first subproblem.\n        Users should write this function as a normal function to train the Pytorch model\n        and include `model, optimizer, criterion, epoch, callback` as function arguments.\n        Here `callback` acts as an L2 regulizer as presented in the formula (7) of the original paper.\n        The logic of `callback` is implemented inside the Pruner,\n        users are just required to insert `callback()` between `loss.backward()` and `optimizer.step()`.\n        Example::\n\n            def trainer(model, criterion, optimizer, epoch, callback):\n                device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n                train_loader = ...\n                model.train()\n                for batch_idx, (data, target) in enumerate(train_loader):\n                    data, target = data.to(device), target.to(device)\n                    optimizer.zero_grad()\n                    output = model(data)\n                    loss = criterion(output, target)\n                    loss.backward()\n                    # callback should be inserted between loss.backward() and optimizer.step()\n                    if callback:\n                        callback()\n                    optimizer.step()\n    num_iterations : int\n        Total number of iterations.\n    training_epochs : int\n        Training epochs of the first subproblem.\n    row : float\n        Penalty parameters for ADMM training.\n    base_algo : str\n        Base pruning algorithm. `level`, `l1`, `l2` or `fpgm`, by default `l1`. Given the sparsity distribution among the ops,\n        the assigned `base_algo` is used to decide which filters/channels/weights to prune.\n\n    \"\"\"\n\n    def __init__(self, model, config_list, trainer, num_iterations=30, training_epochs=5, row=1e-4, base_algo='l1'):\n        self._base_algo = base_algo\n\n        super().__init__(model, config_list)\n\n        self._trainer = trainer\n        self._num_iterations = num_iterations\n        self._training_epochs = training_epochs\n        self._row = row\n\n        self.set_wrappers_attribute(\"if_calculated\", False)\n        self.masker = MASKER_DICT[self._base_algo](self.bound_model, self)\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list\n            List on pruning configs\n        \"\"\"\n\n        if self._base_algo == 'level':\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                Optional('op_types'): [str],\n                Optional('op_names'): [str],\n            }], model, _logger)\n        elif self._base_algo in ['l1', 'l2', 'fpgm']:\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                'op_types': ['Conv2d'],\n                Optional('op_names'): [str]\n            }], model, _logger)\n\n        schema.validate(config_list)\n\n    def _projection(self, weight, sparsity, wrapper):\n        '''\n        Return the Euclidean projection of the weight matrix according to the pruning mode.\n\n        Parameters\n        ----------\n        weight : tensor\n            original matrix\n        sparsity : float\n            the ratio of parameters which need to be set to zero\n        wrapper: PrunerModuleWrapper\n            layer wrapper of this layer\n\n        Returns\n        -------\n        tensor\n            the projected matrix\n        '''\n        wrapper_copy = copy.deepcopy(wrapper)\n        wrapper_copy.module.weight.data = weight\n        return weight.data.mul(self.masker.calc_mask(sparsity, wrapper_copy)['weight_mask'])\n\n    def compress(self):\n        \"\"\"\n        Compress the model with ADMM.\n\n        Returns\n        -------\n        torch.nn.Module\n            model with specified modules compressed.\n        \"\"\"\n        _logger.info('Starting ADMM Compression...')\n\n        # initiaze Z, U\n        # Z_i^0 = W_i^0\n        # U_i^0 = 0\n        Z = []\n        U = []\n        for wrapper in self.get_modules_wrapper():\n            z = wrapper.module.weight.data\n            Z.append(z)\n            U.append(torch.zeros_like(z))\n\n        optimizer = torch.optim.Adam(\n            self.bound_model.parameters(), lr=1e-3, weight_decay=5e-5)\n\n        # Loss = cross_entropy +  l2 regulization + \\Sum_{i=1}^N \\row_i ||W_i - Z_i^k + U_i^k||^2\n        criterion = torch.nn.CrossEntropyLoss()\n\n        # callback function to do additonal optimization, refer to the deriatives of Formula (7)\n        def callback():\n            for i, wrapper in enumerate(self.get_modules_wrapper()):\n                wrapper.module.weight.data -= self._row * \\\n                    (wrapper.module.weight.data - Z[i] + U[i])\n\n        # optimization iteration\n        for k in range(self._num_iterations):\n            _logger.info('ADMM iteration : %d', k)\n\n            # step 1: optimize W with AdamOptimizer\n            for epoch in range(self._training_epochs):\n                self._trainer(self.bound_model, optimizer=optimizer,\n                              criterion=criterion, epoch=epoch, callback=callback)\n\n            # step 2: update Z, U\n            # Z_i^{k+1} = projection(W_i^{k+1} + U_i^k)\n            # U_i^{k+1} = U^k + W_i^{k+1} - Z_i^{k+1}\n            for i, wrapper in enumerate(self.get_modules_wrapper()):\n                z = wrapper.module.weight.data + U[i]\n                Z[i] = self._projection(z, wrapper.config['sparsity'], wrapper)\n                U[i] = U[i] + wrapper.module.weight.data - Z[i]\n\n        # apply prune\n        self.update_mask()\n\n        _logger.info('Compression finished.')\n\n        return self.bound_model\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/agp.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\nAn automated gradual pruning algorithm that prunes the smallest magnitude\nweights to achieve a preset level of network sparsity.\nMichael Zhu and Suyog Gupta, \"To prune, or not to prune: exploring the\nefficacy of pruning for model compression\", 2017 NIPS Workshop on Machine\nLearning of Phones and other Consumer Devices.\n\"\"\"\n\nimport logging\nimport torch\nfrom schema import And, Optional\nfrom .constants import MASKER_DICT\nfrom ..utils.config_validation import CompressorSchema\nfrom ..compressor import Pruner\n\n__all__ = ['AGPPruner']\n\nlogger = logging.getLogger('torch pruner')\n\nclass AGPPruner(Pruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned.\n    config_list : listlist\n        Supported keys:\n            - initial_sparsity: This is to specify the sparsity when compressor starts to compress.\n            - final_sparsity: This is to specify the sparsity when compressor finishes to compress.\n            - start_epoch: This is to specify the epoch number when compressor starts to compress, default start from epoch 0.\n            - end_epoch: This is to specify the epoch number when compressor finishes to compress.\n            - frequency: This is to specify every *frequency* number epochs compressor compress once, default frequency=1.\n    optimizer: torch.optim.Optimizer\n        Optimizer used to train model.\n    pruning_algorithm: str\n        Algorithms being used to prune model,\n        choose from `['level', 'slim', 'l1', 'l2', 'fpgm', 'taylorfo', 'apoz', 'mean_activation']`, by default `level`\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer, pruning_algorithm='level'):\n        super().__init__(model, config_list, optimizer)\n        assert isinstance(optimizer, torch.optim.Optimizer), \"AGP pruner is an iterative pruner, please pass optimizer of the model to it\"\n        self.masker = MASKER_DICT[pruning_algorithm](model, self)\n\n        self.now_epoch = 0\n        self.set_wrappers_attribute(\"if_calculated\", False)\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list\n            List on pruning configs\n        \"\"\"\n        schema = CompressorSchema([{\n            'initial_sparsity': And(float, lambda n: 0 <= n <= 1),\n            'final_sparsity': And(float, lambda n: 0 <= n <= 1),\n            'start_epoch': And(int, lambda n: n >= 0),\n            'end_epoch': And(int, lambda n: n >= 0),\n            'frequency': And(int, lambda n: n > 0),\n            Optional('op_types'): [str],\n            Optional('op_names'): [str]\n        }], model, logger)\n\n        schema.validate(config_list)\n\n    def calc_mask(self, wrapper, wrapper_idx=None):\n        \"\"\"\n        Calculate the mask of given layer.\n        Scale factors with the smallest absolute value in the BN layer are masked.\n        Parameters\n        ----------\n        wrapper : Module\n            the layer to instrument the compression operation\n        wrapper_idx: int\n            index of this wrapper in pruner's all wrappers\n        Returns\n        -------\n        dict | None\n            Dictionary for storing masks, keys of the dict:\n            'weight_mask':  weight mask tensor\n            'bias_mask': bias mask tensor (optional)\n        \"\"\"\n\n        config = wrapper.config\n\n        start_epoch = config.get('start_epoch', 0)\n        freq = config.get('frequency', 1)\n\n        if wrapper.if_calculated:\n            return None\n        if not (self.now_epoch >= start_epoch and (self.now_epoch - start_epoch) % freq == 0):\n            return None\n\n        target_sparsity = self.compute_target_sparsity(config)\n        new_mask = self.masker.calc_mask(sparsity=target_sparsity, wrapper=wrapper, wrapper_idx=wrapper_idx)\n        if new_mask is not None:\n            wrapper.if_calculated = True\n\n        return new_mask\n\n    def compute_target_sparsity(self, config):\n        \"\"\"\n        Calculate the sparsity for pruning\n        Parameters\n        ----------\n        config : dict\n            Layer's pruning config\n        Returns\n        -------\n        float\n            Target sparsity to be pruned\n        \"\"\"\n\n        end_epoch = config.get('end_epoch', 1)\n        start_epoch = config.get('start_epoch', 0)\n        freq = config.get('frequency', 1)\n        final_sparsity = config.get('final_sparsity', 0)\n        initial_sparsity = config.get('initial_sparsity', 0)\n        if end_epoch <= start_epoch or initial_sparsity >= final_sparsity:\n            logger.warning('your end epoch <= start epoch or initial_sparsity >= final_sparsity')\n            return final_sparsity\n\n        if end_epoch <= self.now_epoch:\n            return final_sparsity\n\n        span = ((end_epoch - start_epoch - 1) // freq) * freq\n        assert span > 0\n        target_sparsity = (final_sparsity +\n                           (initial_sparsity - final_sparsity) *\n                           (1.0 - ((self.now_epoch - start_epoch) / span)) ** 3)\n        return target_sparsity\n\n    def update_epoch(self, epoch):\n        \"\"\"\n        Update epoch\n        Parameters\n        ----------\n        epoch : int\n            current training epoch\n        \"\"\"\n\n        if epoch > 0:\n            self.now_epoch = epoch\n            for wrapper in self.get_modules_wrapper():\n                wrapper.if_calculated = False\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/amc/__init__.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nfrom .amc_pruner import AMCPruner\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/amc/amc_pruner.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport os\nimport logging\nfrom copy import deepcopy\nfrom argparse import Namespace\nimport numpy as np\nimport torch\nfrom torch.utils.tensorboard import SummaryWriter\n\nfrom ...compressor import Pruner\nfrom .channel_pruning_env import ChannelPruningEnv\nfrom .lib.agent import DDPG\nfrom .lib.utils import get_output_folder\n\ntorch.backends.cudnn.deterministic = True\n\n_logger = logging.getLogger(__name__)\n\nclass AMCPruner(Pruner):\n    \"\"\"\n    A pytorch implementation of AMC: AutoML for Model Compression and Acceleration on Mobile Devices.\n    (https://arxiv.org/pdf/1802.03494.pdf)\n\n    Parameters:\n        model: nn.Module\n            The model to be pruned.\n        config_list: list\n            Configuration list to configure layer pruning.\n            Supported keys:\n            - op_types: operation type to be pruned\n            - op_names: operation name to be pruned\n        evaluator: function\n            function to evaluate the pruned model.\n            The prototype of the function:\n            >>> def evaluator(val_loader, model):\n            >>>     ...\n            >>>     return acc\n        val_loader: torch.utils.data.DataLoader\n            Data loader of validation dataset.\n        suffix: str\n            suffix to help you remember what experiment you ran. Default: None.\n\n        # parameters for pruning environment\n        model_type: str\n            model type to prune, currently 'mobilenet' and 'mobilenetv2' are supported. Default: mobilenet\n        flops_ratio: float\n            preserve flops ratio. Default: 0.5\n        lbound: float\n            minimum weight preserve ratio for each layer. Default: 0.2\n        rbound: float\n            maximum weight preserve ratio for each layer. Default: 1.0\n        reward: function\n            reward function type:\n            - acc_reward: accuracy * 0.01\n            - acc_flops_reward: - (100 - accuracy) * 0.01 * np.log(flops)\n            Default: acc_reward\n        # parameters for channel pruning\n        n_calibration_batches: int\n            number of batches to extract layer information. Default: 60\n        n_points_per_layer: int\n            number of feature points per layer. Default: 10\n        channel_round: int\n            round channel to multiple of channel_round. Default: 8\n\n        # parameters for ddpg agent\n        hidden1: int\n            hidden num of first fully connect layer. Default: 300\n        hidden2: int\n            hidden num of second fully connect layer. Default: 300\n        lr_c: float\n            learning rate for critic. Default: 1e-3\n        lr_a: float\n            learning rate for actor. Default: 1e-4\n        warmup: int\n            number of episodes without training but only filling the replay memory. During warmup episodes,\n            random actions ares used for pruning. Default: 100\n        discount: float\n            next Q value discount for deep Q value target. Default: 0.99\n        bsize: int\n            minibatch size for training DDPG agent. Default: 64\n        rmsize: int\n            memory size for each layer. Default: 100\n        window_length: int\n            replay buffer window length. Default: 1\n        tau: float\n            moving average for target network being used by soft_update. Default: 0.99\n        # noise\n        init_delta: float\n            initial variance of truncated normal distribution\n        delta_decay: float\n            delta decay during exploration\n\n        # parameters for training ddpg agent\n        max_episode_length: int\n            maximum episode length\n        output_dir: str\n            output directory to save log files and model files. Default: ./logs\n        debug: boolean\n            debug mode\n        train_episode: int\n            train iters each timestep. Default: 800\n        epsilon: int\n            linear decay of exploration policy. Default: 50000\n        seed: int\n            random seed to set for reproduce experiment. Default: None\n    \"\"\"\n\n    def __init__(\n            self,\n            model,\n            config_list,\n            evaluator,\n            val_loader,\n            suffix=None,\n            model_type='mobilenet',\n            dataset='cifar10',\n            flops_ratio=0.5,\n            lbound=0.2,\n            rbound=1.,\n            reward='acc_reward',\n            n_calibration_batches=60,\n            n_points_per_layer=10,\n            channel_round=8,\n            hidden1=300,\n            hidden2=300,\n            lr_c=1e-3,\n            lr_a=1e-4,\n            warmup=100,\n            discount=1.,\n            bsize=64,\n            rmsize=100,\n            window_length=1,\n            tau=0.01,\n            init_delta=0.5,\n            delta_decay=0.99,\n            max_episode_length=1e9,\n            output_dir='./logs',\n            debug=False,\n            train_episode=800,\n            epsilon=50000,\n            seed=None):\n\n        self.val_loader = val_loader\n        self.evaluator = evaluator\n\n        if seed is not None:\n            np.random.seed(seed)\n            torch.manual_seed(seed)\n            torch.cuda.manual_seed(seed)\n\n        checkpoint = deepcopy(model.state_dict())\n\n        super().__init__(model, config_list, optimizer=None)\n\n        # build folder and logs\n        base_folder_name = '{}_{}_r{}_search'.format(model_type, dataset, flops_ratio)\n        if suffix is not None:\n            self.output_dir = os.path.join(output_dir, base_folder_name + '-' + suffix)\n        else:\n            self.output_dir = get_output_folder(output_dir, base_folder_name)\n\n        self.env_args = Namespace(\n            model_type=model_type,\n            preserve_ratio=flops_ratio,\n            lbound=lbound,\n            rbound=rbound,\n            reward=reward,\n            n_calibration_batches=n_calibration_batches,\n            n_points_per_layer=n_points_per_layer,\n            channel_round=channel_round,\n            output=self.output_dir\n        )\n        self.env = ChannelPruningEnv(\n            self, evaluator, val_loader, checkpoint, args=self.env_args)\n        _logger.info('=> Saving logs to %s', self.output_dir)\n        self.tfwriter = SummaryWriter(log_dir=self.output_dir)\n        self.text_writer = open(os.path.join(self.output_dir, 'log.txt'), 'w')\n        _logger.info('=> Output path: %s...', self.output_dir)\n\n        nb_states = self.env.layer_embedding.shape[1]\n        nb_actions = 1  # just 1 action here\n\n        rmsize = rmsize * len(self.env.prunable_idx)  # for each layer\n        _logger.info('** Actual replay buffer size: %d', rmsize)\n\n        self.ddpg_args = Namespace(\n            hidden1=hidden1,\n            hidden2=hidden2,\n            lr_c=lr_c,\n            lr_a=lr_a,\n            warmup=warmup,\n            discount=discount,\n            bsize=bsize,\n            rmsize=rmsize,\n            window_length=window_length,\n            tau=tau,\n            init_delta=init_delta,\n            delta_decay=delta_decay,\n            max_episode_length=max_episode_length,\n            debug=debug,\n            train_episode=train_episode,\n            epsilon=epsilon\n        )\n        self.agent = DDPG(nb_states, nb_actions, self.ddpg_args)\n\n\n    def compress(self):\n        self.train(self.ddpg_args.train_episode, self.agent, self.env, self.output_dir)\n\n    def train(self, num_episode, agent, env, output_dir):\n        agent.is_training = True\n        step = episode = episode_steps = 0\n        episode_reward = 0.\n        observation = None\n        T = []  # trajectory\n        while episode < num_episode:  # counting based on episode\n            # reset if it is the start of episode\n            if observation is None:\n                observation = deepcopy(env.reset())\n                agent.reset(observation)\n\n            # agent pick action ...\n            if episode <= self.ddpg_args.warmup:\n                action = agent.random_action()\n                # action = sample_from_truncated_normal_distribution(lower=0., upper=1., mu=env.preserve_ratio, sigma=0.5)\n            else:\n                action = agent.select_action(observation, episode=episode)\n\n            # env response with next_observation, reward, terminate_info\n            observation2, reward, done, info = env.step(action)\n\n            T.append([reward, deepcopy(observation), deepcopy(observation2), action, done])\n\n            # fix-length, never reach here\n            # if max_episode_length and episode_steps >= max_episode_length - 1:\n            #     done = True\n\n            # [optional] save intermideate model\n            if num_episode / 3 <= 1 or episode % int(num_episode / 3) == 0:\n                agent.save_model(output_dir)\n\n            # update\n            step += 1\n            episode_steps += 1\n            episode_reward += reward\n            observation = deepcopy(observation2)\n\n            if done:  # end of episode\n                _logger.info(\n                    '#%d: episode_reward: %.4f acc: %.4f, ratio: %.4f',\n                        episode, episode_reward,\n                        info['accuracy'],\n                        info['compress_ratio']\n                )\n                self.text_writer.write(\n                    '#{}: episode_reward:{:.4f} acc: {:.4f}, ratio: {:.4f}\\n'.format(\n                        episode, episode_reward,\n                        info['accuracy'],\n                        info['compress_ratio']\n                    )\n                )\n                final_reward = T[-1][0]\n                # print('final_reward: {}'.format(final_reward))\n                # agent observe and update policy\n                for _, s_t, s_t1, a_t, done in T:\n                    agent.observe(final_reward, s_t, s_t1, a_t, done)\n                    if episode > self.ddpg_args.warmup:\n                        agent.update_policy()\n\n                #agent.memory.append(\n                #    observation,\n                #    agent.select_action(observation, episode=episode),\n                #    0., False\n                #)\n\n                # reset\n                observation = None\n                episode_steps = 0\n                episode_reward = 0.\n                episode += 1\n                T = []\n\n                self.tfwriter.add_scalar('reward/last', final_reward, episode)\n                self.tfwriter.add_scalar('reward/best', env.best_reward, episode)\n                self.tfwriter.add_scalar('info/accuracy', info['accuracy'], episode)\n                self.tfwriter.add_scalar('info/compress_ratio', info['compress_ratio'], episode)\n                self.tfwriter.add_text('info/best_policy', str(env.best_strategy), episode)\n                # record the preserve rate for each layer\n                for i, preserve_rate in enumerate(env.strategy):\n                    self.tfwriter.add_scalar('preserve_rate/{}'.format(i), preserve_rate, episode)\n\n                self.text_writer.write('best reward: {}\\n'.format(env.best_reward))\n                self.text_writer.write('best policy: {}\\n'.format(env.best_strategy))\n        self.text_writer.close()\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/amc/channel_pruning_env.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport os\nimport logging\nimport time\nimport math\nimport copy\nimport numpy as np\nimport torch\nimport torch.nn as nn\n\nfrom ...compressor import PrunerModuleWrapper\nfrom .. import AMCWeightMasker\n\n_logger = logging.getLogger(__name__)\n\n# for pruning\ndef acc_reward(net, acc, flops):\n    return acc * 0.01\n\n\ndef acc_flops_reward(net, acc, flops):\n    error = (100 - acc) * 0.01\n    return -error * np.log(flops)\n\n\nclass ChannelPruningEnv:\n    \"\"\"\n    Env for channel pruning search.\n    This class is used to prune model using specified pruner. It prunes one layer when\n    step() is called. When the last layer is pruned, it evaluate the pruned model using\n    evaluator, and use the returned value of evaluator as reward of the episode.\n\n    Usage:\n        env = ChannelPruningEnv(pruner, evaluator, val_loader, checkpoint, env_args)\n        episode = 0\n        T = []\n        while episode < num_episode:\n            action = agent.select_action(observation)\n            observation2, reward, done, info = env.step(action)\n            T.append([reward, deepcopy(observation), deepcopy(observation2), action, done])\n\n            if done: # end of episode, last layer pruned\n                episode += 1\n                # train agent with episode data\n                for _, s_t, s_t1, a_t, done in T:\n                    agent.observe(final_reward, s_t, s_t1, a_t, done)\n                    agent.update_policy()\n                T = []\n\n    Attributes:\n        prunable_idx: layer indices for pruable layers, the index values are the index\n            of list(self.model.modules()). Pruable layers are pointwise Conv2d layers and Linear\n            layers.\n        buffer_idx: layer indices for buffer layers which refers the depthwise layers.\n            Each depthwise layer is always followd by a pointwise layer for both mobilenet and\n            mobilenetv2. The depthwise layer's filters are pruned when its next pointwise layer's\n            corresponding input channels are pruned.\n        shared_idx: layer indices for layers which share input.\n            For example: [[1,4], [8, 10, 15]] means layer 1 and 4 share same input, and layer\n            8, 10 and 15 share another input.\n        layer_embedding: embeddings for each prunable layers, the embedding is used as\n            observation for DDPG agent.\n        layer_info_dict: flops and number of parameters of each layer.\n        min_strategy_dict: key is layer index, value is a tuple, the first value is the minimum\n            action of input channel, the second value is the minimum action value of output channel.\n        strategy_dict: key is layer index, value is a tuple, the first value is the action of input\n            channel, the second value is the action of output channel.\n\n    Parameters:\n        pruner: Pruner\n            NNI Pruner instance used to prune model.\n        evaluator: function\n            function to evaluate the pruned model.\n            The prototype of the function:\n                >>> def evaluator(val_loader, model):\n                >>>     ...\n                >>>     return acc\n        val_loader: torch.utils.data.DataLoader\n            Data loader of validation dataset.\n        checkpoint: dict\n            checkpoint of the model to be pruned. It is used to reset model at beginning of each\n            episode.\n        args:\n            A Namespace object containing following arguments:\n            model_type: str\n                model type to prune, currently 'mobilenet' and 'mobilenetv2' are supported.\n            flops_ratio: float\n                preserve flops ratio.\n            lbound: float\n                minimum weight preserve ratio for each layer.\n            rbound: float\n                maximum weight preserve ratio for each layer.\n            reward: function\n                reward function type\n\n            # parameters for channel pruning\n            n_calibration_batches: int\n                number of batches to extract layer information.\n            n_points_per_layer: int\n                number of feature points per layer.\n            channel_round: int\n                round channel to multiple of channel_round.\n\n    \"\"\"\n    def __init__(self, pruner, evaluator, val_loader, checkpoint, args):\n        self.pruner = pruner\n        self.model = pruner.bound_model\n        self.checkpoint = checkpoint\n        self.batch_size = val_loader.batch_size\n        self.preserve_ratio = args.preserve_ratio\n        self.channel_prune_masker = AMCWeightMasker(self.model, self.pruner, args.channel_round)\n\n        # options from args\n        self.args = args\n        self.lbound = args.lbound\n        self.rbound = args.rbound\n\n        self.n_calibration_batches = args.n_calibration_batches\n        self.n_points_per_layer = args.n_points_per_layer\n        self.channel_round = args.channel_round\n\n        # sanity check\n        assert self.preserve_ratio > self.lbound, 'Error! You can not achieve preserve_ratio smaller than lbound!'\n\n        # prepare data\n        self._val_loader = val_loader\n        self._validate = evaluator\n\n        # build indexs\n        self._build_index()\n        self.n_prunable_layer = len(self.prunable_idx)\n\n        # extract information for preparing\n        self._extract_layer_information()\n\n        # build embedding (static part)\n        self._build_state_embedding()\n\n        # build reward\n        self.reset()  # restore weight\n        self.org_acc = self._validate(self._val_loader, self.model)\n        _logger.info('=> original acc: %.3f', self.org_acc)\n        self.org_model_size = sum(self.wsize_list)\n        _logger.info('=> original weight size: %.4f M param', self.org_model_size * 1. / 1e6)\n        self.org_flops = sum(self.flops_list)\n        _logger.info('=> FLOPs:')\n        _logger.info([self.layer_info_dict[idx]['flops']/1e6 for idx in sorted(self.layer_info_dict.keys())])\n        _logger.info('=> original FLOPs: %.4f M', self.org_flops * 1. / 1e6)\n\n        self.expected_preserve_computation = self.preserve_ratio * self.org_flops\n\n        self.reward = eval(args.reward)\n\n        self.best_reward = -math.inf\n        self.best_strategy = None\n        self.best_d_prime_list = None\n        self.best_masks = None\n\n        self.org_w_size = sum(self.wsize_list)\n\n    def step(self, action):\n        # Pseudo prune and get the corresponding statistics. The real pruning happens till the end of all pseudo pruning\n        if self.visited[self.cur_ind]:\n            action = self.strategy_dict[self.prunable_idx[self.cur_ind]][0]\n            preserve_idx = self.index_buffer[self.cur_ind]\n        else:\n            action = self._action_wall(action)  # percentage to preserve\n            preserve_idx = None\n        # prune and update action\n        action, d_prime, preserve_idx = self.prune_kernel(self.prunable_idx[self.cur_ind], action, preserve_idx)\n        if not self.visited[self.cur_ind]:\n            for group in self.shared_idx:\n                if self.cur_ind in group:  # set the shared ones\n                    for g_idx in group:\n                        self.strategy_dict[self.prunable_idx[g_idx]][0] = action\n                        self.strategy_dict[self.prunable_idx[g_idx - 1]][1] = action\n                        self.visited[g_idx] = True\n                        self.index_buffer[g_idx] = preserve_idx.copy()\n\n        self.strategy.append(action)  # save action to strategy\n        self.d_prime_list.append(d_prime)\n\n        self.strategy_dict[self.prunable_idx[self.cur_ind]][0] = action\n        if self.cur_ind > 0:\n            self.strategy_dict[self.prunable_idx[self.cur_ind - 1]][1] = action\n\n        # all the actions are made\n        if self._is_final_layer():\n            assert len(self.strategy) == len(self.prunable_idx)\n            current_flops = self._cur_flops()\n            acc_t1 = time.time()\n            acc = self._validate(self._val_loader, self.model)\n            acc_t2 = time.time()\n            self.val_time = acc_t2 - acc_t1\n            compress_ratio = current_flops * 1. / self.org_flops\n            info_set = {'compress_ratio': compress_ratio, 'accuracy': acc, 'strategy': self.strategy.copy()}\n            reward = self.reward(self, acc, current_flops)\n\n            if reward > self.best_reward:\n                self.best_reward = reward\n                self.best_strategy = self.strategy.copy()\n                self.best_d_prime_list = self.d_prime_list.copy()\n                best_model = os.path.join(self.args.output, 'best_model.pth')\n                best_mask = os.path.join(self.args.output, 'best_mask.pth')\n                self.pruner.export_model(model_path=best_model, mask_path=best_mask)\n                _logger.info('New best reward: %.4f, acc: %.4f, compress: %.4f', self.best_reward, acc, compress_ratio)\n                _logger.info('New best policy: %s', self.best_strategy)\n                _logger.info('New best d primes: %s', self.best_d_prime_list)\n            obs = self.layer_embedding[self.cur_ind, :].copy()  # actually the same as the last state\n            done = True\n            return obs, reward, done, info_set\n\n        info_set = None\n        reward = 0\n        done = False\n        self.visited[self.cur_ind] = True  # set to visited\n        self.cur_ind += 1  # the index of next layer\n        # build next state (in-place modify)\n        self.layer_embedding[self.cur_ind][-3] = self._cur_reduced() * 1. / self.org_flops  # reduced\n        self.layer_embedding[self.cur_ind][-2] = sum(self.flops_list[self.cur_ind + 1:]) * 1. / self.org_flops  # rest\n        self.layer_embedding[self.cur_ind][-1] = self.strategy[-1]  # last action\n        obs = self.layer_embedding[self.cur_ind, :].copy()\n\n        return obs, reward, done, info_set\n\n    def reset(self):\n        # restore env by loading the checkpoint\n        self.pruner.reset(self.checkpoint)\n        self.cur_ind = 0\n        self.strategy = []  # pruning strategy\n        self.d_prime_list = []\n        self.strategy_dict = copy.deepcopy(self.min_strategy_dict)\n        # reset layer embeddings\n        self.layer_embedding[:, -1] = 1.\n        self.layer_embedding[:, -2] = 0.\n        self.layer_embedding[:, -3] = 0.\n        obs = self.layer_embedding[0].copy()\n        obs[-2] = sum(self.wsize_list[1:]) * 1. / sum(self.wsize_list)\n        self.extract_time = 0\n        self.fit_time = 0\n        self.val_time = 0\n        # for share index\n        self.visited = [False] * len(self.prunable_idx)\n        self.index_buffer = {}\n        return obs\n\n    def prune_kernel(self, op_idx, preserve_ratio, preserve_idx=None):\n        m_list = list(self.model.modules())\n        op = m_list[op_idx]\n        assert (0. < preserve_ratio <= 1.)\n        assert type(op) == PrunerModuleWrapper\n        if preserve_ratio == 1:  # do not prune\n            if (preserve_idx is None) or (len(preserve_idx) == op.module.weight.size(1)):\n                return 1., op.module.weight.size(1), None  # should be a full index\n        op.input_feat = self.layer_info_dict[op_idx]['input_feat']\n        op.output_feat = self.layer_info_dict[op_idx]['output_feat']\n\n        masks = self.channel_prune_masker.calc_mask(sparsity=1-preserve_ratio, wrapper=op, preserve_idx=preserve_idx)\n        m = masks['weight_mask'].cpu().data\n        if type(op.module) == nn.Conv2d:\n            d_prime = (m.sum((0, 2, 3)) > 0).sum().item()\n            preserve_idx = np.nonzero((m.sum((0, 2, 3)) > 0).numpy())[0]\n        else:\n            assert type(op.module) == nn.Linear\n            d_prime = (m.sum(1) > 0).sum().item()\n            preserve_idx = np.nonzero((m.sum(1) > 0).numpy())[0]\n\n        op.weight_mask = masks['weight_mask']\n        if hasattr(op.module, 'bias') and op.module.bias is not None and 'bias_mask' in masks:\n            op.bias_mask = masks['bias_mask']\n\n        action = (m == 1).sum().item() / m.numel()\n        return action, d_prime, preserve_idx\n\n    def _is_final_layer(self):\n        return self.cur_ind == len(self.prunable_idx) - 1\n\n    def _action_wall(self, action):\n        \"\"\"\n        Limit the action generated by DDPG for this layer by two constraints:\n        1. The total flops must meet the flops reduce target.\n           For example: the original flops of entire model is 1000, target flops ratio is 0.5, target flops\n           is 1000*0.5 = 500. The reduced flops of other layers is 400, so the remaining flops quota is 500-400=100,\n           if the total original flops of this layer is 250, then the maximum ratio is 100/250 = 0.4. So the\n           action of this layer can not be greater than 0.4.\n        2. The action must be greater than lbound which is stored in self.strategy_dict.\n        \"\"\"\n        assert len(self.strategy) == self.cur_ind\n\n        action = float(action)\n        action = np.clip(action, 0, 1)\n\n        other_comp = 0\n        this_comp = 0\n        for i, idx in enumerate(self.prunable_idx):\n            flop = self.layer_info_dict[idx]['flops']\n            buffer_flop = self._get_buffer_flops(idx)\n\n            if i == self.cur_ind - 1:  # TODO: add other member in the set\n                this_comp += flop * self.strategy_dict[idx][0]\n                # add buffer (but not influenced by ratio)\n                other_comp += buffer_flop * self.strategy_dict[idx][0]\n            elif i == self.cur_ind:\n                this_comp += flop * self.strategy_dict[idx][1]\n                # also add buffer here (influenced by ratio)\n                this_comp += buffer_flop\n            else:\n                other_comp += flop * self.strategy_dict[idx][0] * self.strategy_dict[idx][1]\n                # add buffer\n                other_comp += buffer_flop * self.strategy_dict[idx][0]  # only consider input reduction\n\n        self.expected_min_preserve = other_comp + this_comp * action\n        max_preserve_ratio = (self.expected_preserve_computation - other_comp) * 1. / this_comp\n\n        action = np.minimum(action, max_preserve_ratio)\n        action = np.maximum(action, self.strategy_dict[self.prunable_idx[self.cur_ind]][0])  # impossible (should be)\n\n        return action\n\n    def _get_buffer_flops(self, idx):\n        buffer_idx = self.buffer_dict[idx]\n        buffer_flop = sum([self.layer_info_dict[_]['flops'] for _ in buffer_idx])\n        return buffer_flop\n\n    def _cur_flops(self):\n        flops = 0\n        for idx in self.prunable_idx:\n            c, n = self.strategy_dict[idx]  # input, output pruning ratio\n            flops += self.layer_info_dict[idx]['flops'] * c * n\n            # add buffer computation\n            flops += self._get_buffer_flops(idx) * c  # only related to input channel reduction\n        return flops\n\n    def _cur_reduced(self):\n        # return the reduced weight\n        reduced = self.org_flops - self._cur_flops()\n        return reduced\n\n    def _build_index(self):\n        \"\"\"\n        Build following information/data for later pruning:\n        self.prunable_idx: layer indices for pruable layers, the index values are the index\n            of list(self.model.modules()). Pruable layers are pointwise Conv2d layers and Linear\n            layers.\n        self.prunable_ops: prunable modules\n        self.buffer_idx: layer indices for buffer layers which refers the depthwise layers.\n            Each depthwise layer is always followd by a pointwise layer for both mobilenet and\n            mobilenetv2. The depthwise layer's filters are pruned when its next pointwise layer's\n            corresponding input channels are pruned.\n        self.shared_idx: layer indices for layers which share input.\n            For example: [[1,4], [8, 10, 15]] means layer 1 and 4 share same input, and layer\n            8, 10 and 15 share another input.\n        self.org_channels: number of input channels for each layer\n        self.min_strategy_dict: key is layer index, value is a tuple, the first value is the minimum\n            action of input channel, the second value is the minimum action value of output channel.\n        self.strategy_dict: same as self.min_strategy_dict, but it will be updated later.\n        \"\"\"\n        self.prunable_idx = []\n        self.prunable_ops = []\n        self.layer_type_dict = {}\n        self.strategy_dict = {}\n        self.buffer_dict = {}\n        this_buffer_list = []\n        self.org_channels = []\n        # build index and the min strategy dict\n        for i, m in enumerate(self.model.modules()):\n            if isinstance(m, PrunerModuleWrapper):\n                m = m.module\n                if type(m) == nn.Conv2d and m.groups == m.in_channels:  # depth-wise conv, buffer\n                    this_buffer_list.append(i)\n                else:  # really prunable\n                    self.prunable_idx.append(i)\n                    self.prunable_ops.append(m)\n                    self.layer_type_dict[i] = type(m)\n                    self.buffer_dict[i] = this_buffer_list\n                    this_buffer_list = []  # empty\n                    self.org_channels.append(m.in_channels if type(m) == nn.Conv2d else m.in_features)\n\n                    self.strategy_dict[i] = [self.lbound, self.lbound]\n\n        self.strategy_dict[self.prunable_idx[0]][0] = 1  # modify the input\n        self.strategy_dict[self.prunable_idx[-1]][1] = 1  # modify the output\n\n        self.shared_idx = []\n        if self.args.model_type == 'mobilenetv2':  # TODO: to be tested! Share index for residual connection\n            connected_idx = [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]  # to be partitioned\n            last_ch = -1\n            share_group = None\n            for c_idx in connected_idx:\n                if self.prunable_ops[c_idx].in_channels != last_ch:  # new group\n                    last_ch = self.prunable_ops[c_idx].in_channels\n                    if share_group is not None:\n                        self.shared_idx.append(share_group)\n                    share_group = [c_idx]\n                else:  # same group\n                    share_group.append(c_idx)\n            self.shared_idx.append(share_group)\n            _logger.info('=> Conv layers to share channels: %s', self.shared_idx)\n\n        self.min_strategy_dict = copy.deepcopy(self.strategy_dict)\n\n        self.buffer_idx = []\n        for _, v in self.buffer_dict.items():\n            self.buffer_idx += v\n\n        _logger.info('=> Prunable layer idx: %s', self.prunable_idx)\n        _logger.info('=> Buffer layer idx: %s', self.buffer_idx)\n        _logger.info('=> Shared idx: %s', self.shared_idx)\n        _logger.info('=> Initial min strategy dict: %s', self.min_strategy_dict)\n\n        # added for supporting residual connections during pruning\n        self.visited = [False] * len(self.prunable_idx)\n        self.index_buffer = {}\n\n    def _extract_layer_information(self):\n        m_list = list(self.model.modules())\n\n        self.data_saver = []\n        self.layer_info_dict = dict()\n        self.wsize_list = []\n        self.flops_list = []\n\n        from .lib.utils import measure_layer_for_pruning\n\n        # extend the forward fn to record layer info\n        def new_forward(m):\n            def lambda_forward(x):\n                m.input_feat = x.clone()\n                #TODO replace this flops counter with nni.compression.torch.utils.counter.count_flops_params\n                measure_layer_for_pruning(m, x)\n                y = m.old_forward(x)\n                m.output_feat = y.clone()\n                return y\n\n            return lambda_forward\n\n        device = None\n        for idx in self.prunable_idx + self.buffer_idx:  # get all\n            m = m_list[idx]\n            m.old_forward = m.forward\n            m.forward = new_forward(m)\n            if device is None and type(m) == PrunerModuleWrapper:\n                device = m.module.weight.device\n\n        # now let the image flow\n        _logger.info('=> Extracting information...')\n        with torch.no_grad():\n            for i_b, (inputs, target) in enumerate(self._val_loader):  # use image from train set\n                if i_b == self.n_calibration_batches:\n                    break\n                self.data_saver.append((inputs.clone(), target.clone()))\n                input_var = torch.autograd.Variable(inputs).to(device)\n\n                # inference and collect stats\n                _ = self.model(input_var)\n\n                if i_b == 0:  # first batch\n                    for idx in self.prunable_idx + self.buffer_idx:\n                        self.layer_info_dict[idx] = dict()\n                        self.layer_info_dict[idx]['params'] = m_list[idx].params\n                        self.layer_info_dict[idx]['flops'] = m_list[idx].flops\n                        self.wsize_list.append(m_list[idx].params)\n                        self.flops_list.append(m_list[idx].flops)\n                    _logger.info('flops: %s', self.flops_list)\n                for idx in self.prunable_idx:\n                    f_in_np = m_list[idx].input_feat.data.cpu().numpy()\n                    f_out_np = m_list[idx].output_feat.data.cpu().numpy()\n                    if len(f_in_np.shape) == 4:  # conv\n                        if self.prunable_idx.index(idx) == 0:  # first conv\n                            f_in2save, f_out2save = None, None\n                        elif m_list[idx].module.weight.size(3) > 1:  # normal conv\n                            f_in2save, f_out2save = f_in_np, f_out_np\n                        else:  # 1x1 conv\n                            # assert f_out_np.shape[2] == f_in_np.shape[2]  # now support k=3\n                            randx = np.random.randint(0, f_out_np.shape[2] - 0, self.n_points_per_layer)\n                            randy = np.random.randint(0, f_out_np.shape[3] - 0, self.n_points_per_layer)\n                            # input: [N, C, H, W]\n                            self.layer_info_dict[idx][(i_b, 'randx')] = randx.copy()\n                            self.layer_info_dict[idx][(i_b, 'randy')] = randy.copy()\n\n                            f_in2save = f_in_np[:, :, randx, randy].copy().transpose(0, 2, 1)\\\n                                .reshape(self.batch_size * self.n_points_per_layer, -1)\n\n                            f_out2save = f_out_np[:, :, randx, randy].copy().transpose(0, 2, 1) \\\n                                .reshape(self.batch_size * self.n_points_per_layer, -1)\n                    else:\n                        assert len(f_in_np.shape) == 2\n                        f_in2save = f_in_np.copy()\n                        f_out2save = f_out_np.copy()\n                    if 'input_feat' not in self.layer_info_dict[idx]:\n                        self.layer_info_dict[idx]['input_feat'] = f_in2save\n                        self.layer_info_dict[idx]['output_feat'] = f_out2save\n                    else:\n                        self.layer_info_dict[idx]['input_feat'] = np.vstack(\n                            (self.layer_info_dict[idx]['input_feat'], f_in2save))\n                        self.layer_info_dict[idx]['output_feat'] = np.vstack(\n                            (self.layer_info_dict[idx]['output_feat'], f_out2save))\n\n    def _build_state_embedding(self):\n        # build the static part of the state embedding\n        _logger.info('Building state embedding...')\n        layer_embedding = []\n        module_list = list(self.model.modules())\n        for i, ind in enumerate(self.prunable_idx):\n            m = module_list[ind].module\n            this_state = []\n            if type(m) == nn.Conv2d:\n                this_state.append(i)  # index\n                this_state.append(0)  # layer type, 0 for conv\n                this_state.append(m.in_channels)  # in channels\n                this_state.append(m.out_channels)  # out channels\n                this_state.append(m.stride[0])  # stride\n                this_state.append(m.kernel_size[0])  # kernel size\n                this_state.append(np.prod(m.weight.size()))  # weight size\n            elif type(m) == nn.Linear:\n                this_state.append(i)  # index\n                this_state.append(1)  # layer type, 1 for fc\n                this_state.append(m.in_features)  # in channels\n                this_state.append(m.out_features)  # out channels\n                this_state.append(0)  # stride\n                this_state.append(1)  # kernel size\n                this_state.append(np.prod(m.weight.size()))  # weight size\n\n            # this 3 features need to be changed later\n            this_state.append(0.)  # reduced\n            this_state.append(0.)  # rest\n            this_state.append(1.)  # a_{t-1}\n            layer_embedding.append(np.array(this_state))\n\n        # normalize the state\n        layer_embedding = np.array(layer_embedding, 'float')\n        _logger.info('=> shape of embedding (n_layer * n_dim): %s', layer_embedding.shape)\n        assert len(layer_embedding.shape) == 2, layer_embedding.shape\n        for i in range(layer_embedding.shape[1]):\n            fmin = min(layer_embedding[:, i])\n            fmax = max(layer_embedding[:, i])\n            if fmax - fmin > 0:\n                layer_embedding[:, i] = (layer_embedding[:, i] - fmin) / (fmax - fmin)\n\n        self.layer_embedding = layer_embedding\n\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/amc/lib/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/compression/torch/pruning/amc/lib/agent.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport numpy as np\n\nimport torch\nimport torch.nn as nn\nfrom torch.optim import Adam\n\nfrom .memory import SequentialMemory\nfrom .utils import to_numpy, to_tensor\n\ncriterion = nn.MSELoss()\nUSE_CUDA = torch.cuda.is_available()\n\n\nclass Actor(nn.Module):\n    def __init__(self, nb_states, nb_actions, hidden1=400, hidden2=300):\n        super(Actor, self).__init__()\n        self.fc1 = nn.Linear(nb_states, hidden1)\n        self.fc2 = nn.Linear(hidden1, hidden2)\n        self.fc3 = nn.Linear(hidden2, nb_actions)\n        self.relu = nn.ReLU()\n        self.sigmoid = nn.Sigmoid()\n\n    def forward(self, x):\n        out = self.fc1(x)\n        out = self.relu(out)\n        out = self.fc2(out)\n        out = self.relu(out)\n        out = self.fc3(out)\n        out = self.sigmoid(out)\n        return out\n\n\nclass Critic(nn.Module):\n    def __init__(self, nb_states, nb_actions, hidden1=400, hidden2=300):\n        super(Critic, self).__init__()\n        self.fc11 = nn.Linear(nb_states, hidden1)\n        self.fc12 = nn.Linear(nb_actions, hidden1)\n        self.fc2 = nn.Linear(hidden1, hidden2)\n        self.fc3 = nn.Linear(hidden2, 1)\n        self.relu = nn.ReLU()\n\n    def forward(self, xs):\n        x, a = xs\n        out = self.fc11(x) + self.fc12(a)\n        out = self.relu(out)\n        out = self.fc2(out)\n        out = self.relu(out)\n        out = self.fc3(out)\n        return out\n\n\nclass DDPG(object):\n    def __init__(self, nb_states, nb_actions, args):\n\n        self.nb_states = nb_states\n        self.nb_actions = nb_actions\n\n        # Create Actor and Critic Network\n        net_cfg = {\n            'hidden1': args.hidden1,\n            'hidden2': args.hidden2,\n            # 'init_w': args.init_w\n        }\n        self.actor = Actor(self.nb_states, self.nb_actions, **net_cfg)\n        self.actor_target = Actor(self.nb_states, self.nb_actions, **net_cfg)\n        self.actor_optim = Adam(self.actor.parameters(), lr=args.lr_a)\n\n        self.critic = Critic(self.nb_states, self.nb_actions, **net_cfg)\n        self.critic_target = Critic(self.nb_states, self.nb_actions, **net_cfg)\n        self.critic_optim = Adam(self.critic.parameters(), lr=args.lr_c)\n\n        self.hard_update(self.actor_target, self.actor)  # Make sure target is with the same weight\n        self.hard_update(self.critic_target, self.critic)\n\n        # Create replay buffer\n        self.memory = SequentialMemory(limit=args.rmsize, window_length=args.window_length)\n        # self.random_process = OrnsteinUhlenbeckProcess(size=nb_actions, theta=args.ou_theta, mu=args.ou_mu,\n        #                                                sigma=args.ou_sigma)\n\n        # Hyper-parameters\n        self.batch_size = args.bsize\n        self.tau = args.tau\n        self.discount = args.discount\n        self.depsilon = 1.0 / args.epsilon\n        self.lbound = 0.  # args.lbound\n        self.rbound = 1.  # args.rbound\n\n        # noise\n        self.init_delta = args.init_delta\n        self.delta_decay = args.delta_decay\n        self.warmup = args.warmup\n\n        #\n        self.epsilon = 1.0\n        # self.s_t = None  # Most recent state\n        # self.a_t = None  # Most recent action\n        self.is_training = True\n\n        #\n        if USE_CUDA: self.cuda()\n\n        # moving average baseline\n        self.moving_average = None\n        self.moving_alpha = 0.5  # based on batch, so small\n\n    def update_policy(self):\n        # Sample batch\n        state_batch, action_batch, reward_batch, \\\n        next_state_batch, terminal_batch = self.memory.sample_and_split(self.batch_size)\n\n        # normalize the reward\n        batch_mean_reward = np.mean(reward_batch)\n        if self.moving_average is None:\n            self.moving_average = batch_mean_reward\n        else:\n            self.moving_average += self.moving_alpha * (batch_mean_reward - self.moving_average)\n        reward_batch -= self.moving_average\n        # if reward_batch.std() > 0:\n        #     reward_batch /= reward_batch.std()\n\n        # Prepare for the target q batch\n        with torch.no_grad():\n            next_q_values = self.critic_target([\n                to_tensor(next_state_batch),\n                self.actor_target(to_tensor(next_state_batch)),\n            ])\n\n        target_q_batch = to_tensor(reward_batch) + \\\n                         self.discount * to_tensor(terminal_batch.astype(np.float)) * next_q_values\n\n        # Critic update\n        self.critic.zero_grad()\n\n        q_batch = self.critic([to_tensor(state_batch), to_tensor(action_batch)])\n\n        value_loss = criterion(q_batch, target_q_batch)\n        value_loss.backward()\n        self.critic_optim.step()\n\n        # Actor update\n        self.actor.zero_grad()\n\n        policy_loss = -self.critic([ # pylint: disable=all\n            to_tensor(state_batch),\n            self.actor(to_tensor(state_batch))\n        ])\n\n        policy_loss = policy_loss.mean()\n        policy_loss.backward()\n        self.actor_optim.step()\n\n        # Target update\n        self.soft_update(self.actor_target, self.actor)\n        self.soft_update(self.critic_target, self.critic)\n\n    def eval(self):\n        self.actor.eval()\n        self.actor_target.eval()\n        self.critic.eval()\n        self.critic_target.eval()\n\n    def cuda(self):\n        self.actor.cuda()\n        self.actor_target.cuda()\n        self.critic.cuda()\n        self.critic_target.cuda()\n\n    def observe(self, r_t, s_t, s_t1, a_t, done):\n        if self.is_training:\n            self.memory.append(s_t, a_t, r_t, done)  # save to memory\n            # self.s_t = s_t1\n\n    def random_action(self):\n        action = np.random.uniform(self.lbound, self.rbound, self.nb_actions)\n        # self.a_t = action\n        return action\n\n    def select_action(self, s_t, episode):\n        # assert episode >= self.warmup, 'Episode: {} warmup: {}'.format(episode, self.warmup)\n        action = to_numpy(self.actor(to_tensor(np.array(s_t).reshape(1, -1)))).squeeze(0)\n        delta = self.init_delta * (self.delta_decay ** (episode - self.warmup))\n        # action += self.is_training * max(self.epsilon, 0) * self.random_process.sample()\n        action = self.sample_from_truncated_normal_distribution(lower=self.lbound, upper=self.rbound, mu=action, sigma=delta)\n        action = np.clip(action, self.lbound, self.rbound)\n\n        # self.a_t = action\n        return action\n\n    def reset(self, obs):\n        pass\n        # self.s_t = obs\n        # self.random_process.reset_states()\n\n    def load_weights(self, output):\n        if output is None: return\n\n        self.actor.load_state_dict(\n            torch.load('{}/actor.pkl'.format(output))\n        )\n\n        self.critic.load_state_dict(\n            torch.load('{}/critic.pkl'.format(output))\n        )\n\n    def save_model(self, output):\n        torch.save(\n            self.actor.state_dict(),\n            '{}/actor.pkl'.format(output)\n        )\n        torch.save(\n            self.critic.state_dict(),\n            '{}/critic.pkl'.format(output)\n        )\n\n    def soft_update(self, target, source):\n        for target_param, param in zip(target.parameters(), source.parameters()):\n            target_param.data.copy_(\n                target_param.data * (1.0 - self.tau) + param.data * self.tau\n            )\n\n    def hard_update(self, target, source):\n        for target_param, param in zip(target.parameters(), source.parameters()):\n            target_param.data.copy_(param.data)\n\n    def sample_from_truncated_normal_distribution(self, lower, upper, mu, sigma, size=1):\n        from scipy import stats\n        return stats.truncnorm.rvs((lower-mu)/sigma, (upper-mu)/sigma, loc=mu, scale=sigma, size=size)\n\n\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/amc/lib/memory.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nfrom __future__ import absolute_import\nfrom collections import deque, namedtuple\nimport warnings\nimport random\n\nimport numpy as np\n\n# [reference] https://github.com/matthiasplappert/keras-rl/blob/master/rl/memory.py\n\n# This is to be understood as a transition: Given `state0`, performing `action`\n# yields `reward` and results in `state1`, which might be `terminal`.\nExperience = namedtuple('Experience', 'state0, action, reward, state1, terminal1')\n\n\ndef sample_batch_indexes(low, high, size):\n    if high - low >= size:\n        # We have enough data. Draw without replacement, that is each index is unique in the\n        # batch. We cannot use `np.random.choice` here because it is horribly inefficient as\n        # the memory grows. See https://github.com/numpy/numpy/issues/2764 for a discussion.\n        # `random.sample` does the same thing (drawing without replacement) and is way faster.\n        r = range(low, high)\n        batch_idxs = random.sample(r, size)\n    else:\n        # Not enough data. Help ourselves with sampling from the range, but the same index\n        # can occur multiple times. This is not good and should be avoided by picking a\n        # large enough warm-up phase.\n        warnings.warn(\n            'Not enough entries to sample without replacement. '\n            'Consider increasing your warm-up phase to avoid oversampling!')\n        batch_idxs = np.random.random_integers(low, high - 1, size=size)\n    assert len(batch_idxs) == size\n    return batch_idxs\n\n\nclass RingBuffer(object):\n    def __init__(self, maxlen):\n        self.maxlen = maxlen\n        self.start = 0\n        self.length = 0\n        self.data = [None for _ in range(maxlen)]\n\n    def __len__(self):\n        return self.length\n\n    def __getitem__(self, idx):\n        if idx < 0 or idx >= self.length:\n            raise KeyError()\n        return self.data[(self.start + idx) % self.maxlen]\n\n    def append(self, v):\n        if self.length < self.maxlen:\n            # We have space, simply increase the length.\n            self.length += 1\n        elif self.length == self.maxlen:\n            # No space, \"remove\" the first item.\n            self.start = (self.start + 1) % self.maxlen\n        else:\n            # This should never happen.\n            raise RuntimeError()\n        self.data[(self.start + self.length - 1) % self.maxlen] = v\n\n\ndef zeroed_observation(observation):\n    if hasattr(observation, 'shape'):\n        return np.zeros(observation.shape)\n    elif hasattr(observation, '__iter__'):\n        out = []\n        for x in observation:\n            out.append(zeroed_observation(x))\n        return out\n    else:\n        return 0.\n\n\nclass Memory(object):\n    def __init__(self, window_length, ignore_episode_boundaries=False):\n        self.window_length = window_length\n        self.ignore_episode_boundaries = ignore_episode_boundaries\n\n        self.recent_observations = deque(maxlen=window_length)\n        self.recent_terminals = deque(maxlen=window_length)\n\n    def sample(self, batch_size, batch_idxs=None):\n        raise NotImplementedError()\n\n    def append(self, observation, action, reward, terminal, training=True):\n        self.recent_observations.append(observation)\n        self.recent_terminals.append(terminal)\n\n    def get_recent_state(self, current_observation):\n        # This code is slightly complicated by the fact that subsequent observations might be\n        # from different episodes. We ensure that an experience never spans multiple episodes.\n        # This is probably not that important in practice but it seems cleaner.\n        state = [current_observation]\n        idx = len(self.recent_observations) - 1\n        for offset in range(0, self.window_length - 1):\n            current_idx = idx - offset\n            current_terminal = self.recent_terminals[current_idx - 1] if current_idx - 1 >= 0 else False\n            if current_idx < 0 or (not self.ignore_episode_boundaries and current_terminal):\n                # The previously handled observation was terminal, don't add the current one.\n                # Otherwise we would leak into a different episode.\n                break\n            state.insert(0, self.recent_observations[current_idx])\n        while len(state) < self.window_length:\n            state.insert(0, zeroed_observation(state[0]))\n        return state\n\n    def get_config(self):\n        config = {\n            'window_length': self.window_length,\n            'ignore_episode_boundaries': self.ignore_episode_boundaries,\n        }\n        return config\n\n\nclass SequentialMemory(Memory):\n    def __init__(self, limit, **kwargs):\n        super(SequentialMemory, self).__init__(**kwargs)\n\n        self.limit = limit\n\n        # Do not use deque to implement the memory. This data structure may seem convenient but\n        # it is way too slow on random access. Instead, we use our own ring buffer implementation.\n        self.actions = RingBuffer(limit)\n        self.rewards = RingBuffer(limit)\n        self.terminals = RingBuffer(limit)\n        self.observations = RingBuffer(limit)\n\n    def sample(self, batch_size, batch_idxs=None):\n        if batch_idxs is None:\n            # Draw random indexes such that we have at least a single entry before each\n            # index.\n            batch_idxs = sample_batch_indexes(0, self.nb_entries - 1, size=batch_size)\n        batch_idxs = np.array(batch_idxs) + 1\n        assert np.min(batch_idxs) >= 1\n        assert np.max(batch_idxs) < self.nb_entries\n        assert len(batch_idxs) == batch_size\n\n        # Create experiences\n        experiences = []\n        for idx in batch_idxs:\n            terminal0 = self.terminals[idx - 2] if idx >= 2 else False\n            while terminal0:\n                # Skip this transition because the environment was reset here. Select a new, random\n                # transition and use this instead. This may cause the batch to contain the same\n                # transition twice.\n                idx = sample_batch_indexes(1, self.nb_entries, size=1)[0]\n                terminal0 = self.terminals[idx - 2] if idx >= 2 else False\n            assert 1 <= idx < self.nb_entries\n\n            # This code is slightly complicated by the fact that subsequent observations might be\n            # from different episodes. We ensure that an experience never spans multiple episodes.\n            # This is probably not that important in practice but it seems cleaner.\n            state0 = [self.observations[idx - 1]]\n            for offset in range(0, self.window_length - 1):\n                current_idx = idx - 2 - offset\n                current_terminal = self.terminals[current_idx - 1] if current_idx - 1 > 0 else False\n                if current_idx < 0 or (not self.ignore_episode_boundaries and current_terminal):\n                    # The previously handled observation was terminal, don't add the current one.\n                    # Otherwise we would leak into a different episode.\n                    break\n                state0.insert(0, self.observations[current_idx])\n            while len(state0) < self.window_length:\n                state0.insert(0, zeroed_observation(state0[0]))\n            action = self.actions[idx - 1]\n            reward = self.rewards[idx - 1]\n            terminal1 = self.terminals[idx - 1]\n\n            # Okay, now we need to create the follow-up state. This is state0 shifted on timestep\n            # to the right. Again, we need to be careful to not include an observation from the next\n            # episode if the last state is terminal.\n            state1 = [np.copy(x) for x in state0[1:]]\n            state1.append(self.observations[idx])\n\n            assert len(state0) == self.window_length\n            assert len(state1) == len(state0)\n            experiences.append(Experience(state0=state0, action=action, reward=reward,\n                                          state1=state1, terminal1=terminal1))\n        assert len(experiences) == batch_size\n        return experiences\n\n    def sample_and_split(self, batch_size, batch_idxs=None):\n        experiences = self.sample(batch_size, batch_idxs)\n\n        state0_batch = []\n        reward_batch = []\n        action_batch = []\n        terminal1_batch = []\n        state1_batch = []\n        for e in experiences:\n            state0_batch.append(e.state0)\n            state1_batch.append(e.state1)\n            reward_batch.append(e.reward)\n            action_batch.append(e.action)\n            terminal1_batch.append(0. if e.terminal1 else 1.)\n\n        # Prepare and validate parameters.\n        state0_batch = np.array(state0_batch, 'double').reshape(batch_size, -1)\n        state1_batch = np.array(state1_batch, 'double').reshape(batch_size, -1)\n        terminal1_batch = np.array(terminal1_batch, 'double').reshape(batch_size, -1)\n        reward_batch = np.array(reward_batch, 'double').reshape(batch_size, -1)\n        action_batch = np.array(action_batch, 'double').reshape(batch_size, -1)\n\n        return state0_batch, action_batch, reward_batch, state1_batch, terminal1_batch\n\n    def append(self, observation, action, reward, terminal, training=True):\n        super(SequentialMemory, self).append(observation, action, reward, terminal, training=training)\n\n        # This needs to be understood as follows: in `observation`, take `action`, obtain `reward`\n        # and weather the next state is `terminal` or not.\n        if training:\n            self.observations.append(observation)\n            self.actions.append(action)\n            self.rewards.append(reward)\n            self.terminals.append(terminal)\n\n    @property\n    def nb_entries(self):\n        return len(self.observations)\n\n    def get_config(self):\n        config = super(SequentialMemory, self).get_config()\n        config['limit'] = self.limit\n        return config\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/amc/lib/net_measure.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport torch\n\n# [reference] https://github.com/ShichenLiu/CondenseNet/blob/master/utils.py\n\n\ndef get_num_gen(gen):\n    return sum(1 for _ in gen)\n\n\ndef is_leaf(model):\n    return get_num_gen(model.children()) == 0\n\n\ndef get_layer_info(layer):\n    layer_str = str(layer)\n    type_name = layer_str[:layer_str.find('(')].strip()\n    return type_name\n\n\ndef get_layer_param(model):\n    import operator\n    import functools\n\n    return sum([functools.reduce(operator.mul, i.size(), 1) for i in model.parameters()])\n\ncount_ops = 0\ncount_params = 0\n\ndef measure_layer(layer, x):\n    global count_ops, count_params\n    delta_ops = 0\n    delta_params = 0\n    multi_add = 1\n    type_name = get_layer_info(layer)\n\n    # ops_conv\n    if type_name in ['Conv2d']:\n        out_h = int((x.size()[2] + 2 * layer.padding[0] - layer.kernel_size[0]) /\n                    layer.stride[0] + 1)\n        out_w = int((x.size()[3] + 2 * layer.padding[1] - layer.kernel_size[1]) /\n                    layer.stride[1] + 1)\n        delta_ops = layer.in_channels * layer.out_channels * layer.kernel_size[0] *  \\\n                layer.kernel_size[1] * out_h * out_w / layer.groups * multi_add\n        delta_params = get_layer_param(layer)\n\n    # ops_nonlinearity\n    elif type_name in ['ReLU']:\n        delta_ops = x.numel() / x.size(0)\n        delta_params = get_layer_param(layer)\n\n    # ops_pooling\n    elif type_name in ['AvgPool2d']:\n        in_w = x.size()[2]\n        kernel_ops = layer.kernel_size * layer.kernel_size\n        out_w = int((in_w + 2 * layer.padding - layer.kernel_size) / layer.stride + 1)\n        out_h = int((in_w + 2 * layer.padding - layer.kernel_size) / layer.stride + 1)\n        delta_ops = x.size()[1] * out_w * out_h * kernel_ops\n        delta_params = get_layer_param(layer)\n\n    elif type_name in ['AdaptiveAvgPool2d']:\n        delta_ops = x.size()[1] * x.size()[2] * x.size()[3]\n        delta_params = get_layer_param(layer)\n\n    # ops_linear\n    elif type_name in ['Linear']:\n        weight_ops = layer.weight.numel() * multi_add\n        bias_ops = layer.bias.numel()\n        delta_ops = weight_ops + bias_ops\n        delta_params = get_layer_param(layer)\n\n    # ops_nothing\n    elif type_name in ['BatchNorm2d', 'Dropout2d', 'DropChannel', 'Dropout']:\n        delta_params = get_layer_param(layer)\n\n    # unknown layer type\n    else:\n        delta_params = get_layer_param(layer)\n\n    count_ops += delta_ops\n    count_params += delta_params\n\n    return\n\n\ndef measure_model(model, H, W, device):\n    global count_ops, count_params\n    count_ops = 0\n    count_params = 0\n    data = torch.zeros(2, 3, H, W).to(device)\n\n    def should_measure(x):\n        return is_leaf(x)\n\n    def modify_forward(model):\n        for child in model.children():\n            if should_measure(child):\n                def new_forward(m):\n                    def lambda_forward(x):\n                        measure_layer(m, x)\n                        return m.old_forward(x)\n                    return lambda_forward\n                child.old_forward = child.forward\n                child.forward = new_forward(child)\n            else:\n                modify_forward(child)\n\n    def restore_forward(model):\n        for child in model.children():\n            # leaf node\n            if is_leaf(child) and hasattr(child, 'old_forward'):\n                child.forward = child.old_forward\n                child.old_forward = None\n            else:\n                restore_forward(child)\n\n    modify_forward(model)\n    model.forward(data)\n    restore_forward(model)\n\n    return count_ops, count_params\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/amc/lib/utils.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport os\nimport torch\n\nclass TextLogger(object):\n    \"\"\"Write log immediately to the disk\"\"\"\n    def __init__(self, filepath):\n        self.f = open(filepath, 'w')\n        self.fid = self.f.fileno()\n        self.filepath = filepath\n\n    def close(self):\n        self.f.close()\n\n    def write(self, content):\n        self.f.write(content)\n        self.f.flush()\n        os.fsync(self.fid)\n\n    def write_buf(self, content):\n        self.f.write(content)\n\n    def print_and_write(self, content):\n        print(content)\n        self.write(content+'\\n')\n\ndef to_numpy(var):\n    use_cuda = torch.cuda.is_available()\n    return var.cpu().data.numpy() if use_cuda else var.data.numpy()\n\n\ndef to_tensor(ndarray, requires_grad=False):  # return a float tensor by default\n    tensor = torch.from_numpy(ndarray).float()  # by default does not require grad\n    if requires_grad:\n        tensor.requires_grad_()\n    return tensor.cuda() if torch.cuda.is_available() else tensor\n\n\ndef measure_layer_for_pruning(wrapper, x):\n    def get_layer_type(layer):\n        layer_str = str(layer)\n        return layer_str[:layer_str.find('(')].strip()\n\n    def get_layer_param(model):\n        import operator\n        import functools\n\n        return sum([functools.reduce(operator.mul, i.size(), 1) for i in model.parameters()])\n\n    multi_add = 1\n    layer = wrapper.module\n    type_name = get_layer_type(layer)\n\n    # ops_conv\n    if type_name in ['Conv2d']:\n        out_h = int((x.size()[2] + 2 * layer.padding[0] - layer.kernel_size[0]) /\n                    layer.stride[0] + 1)\n        out_w = int((x.size()[3] + 2 * layer.padding[1] - layer.kernel_size[1]) /\n                    layer.stride[1] + 1)\n        wrapper.flops = layer.in_channels * layer.out_channels * layer.kernel_size[0] *  \\\n                    layer.kernel_size[1] * out_h * out_w / layer.groups * multi_add\n        wrapper.params = get_layer_param(layer)\n    # ops_linear\n    elif type_name in ['Linear']:\n        weight_ops = layer.weight.numel() * multi_add\n        bias_ops = layer.bias.numel()\n        wrapper.flops = weight_ops + bias_ops\n        wrapper.params = get_layer_param(layer)\n    return\n\n\ndef least_square_sklearn(X, Y):\n    from sklearn.linear_model import LinearRegression\n    reg = LinearRegression(fit_intercept=False)\n    reg.fit(X, Y)\n    return reg.coef_\n\n\ndef get_output_folder(parent_dir, env_name):\n    \"\"\"Return save folder.\n    Assumes folders in the parent_dir have suffix -run{run\n    number}. Finds the highest run number and sets the output folder\n    to that number + 1. This is just convenient so that if you run the\n    same script multiple times tensorboard can plot all of the results\n    on the same plots with different names.\n    Parameters\n    ----------\n    parent_dir: str\n      Path of the directory containing all experiment runs.\n    Returns\n    -------\n    parent_dir/run_dir\n      Path to this run's save directory.\n    \"\"\"\n    os.makedirs(parent_dir, exist_ok=True)\n    experiment_id = 0\n    for folder_name in os.listdir(parent_dir):\n        if not os.path.isdir(os.path.join(parent_dir, folder_name)):\n            continue\n        try:\n            folder_name = int(folder_name.split('-run')[-1])\n            if folder_name > experiment_id:\n                experiment_id = folder_name\n        except:\n            pass\n    experiment_id += 1\n\n    parent_dir = os.path.join(parent_dir, env_name)\n    parent_dir = parent_dir + '-run{}'.format(experiment_id)\n    os.makedirs(parent_dir, exist_ok=True)\n    return parent_dir\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/apply_compression.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport logging\nimport torch\n\nlogger = logging.getLogger('torch apply compression')\n\ndef apply_compression_results(model, masks=None, masks_file=None, map_location=None):\n    \"\"\"\n    Apply the masks from ```masks_file``` to the model\n    Note: this API is for inference, because it simply multiplies weights with\n    corresponding masks when this API is called.\n\n    Parameters\n    ----------\n    model : torch.nn.Module\n        The model to be compressed\n    masks : dict\n        The pre-loaded dictionary of weight pruning masks\n    masks_file : str\n        The path of user provided mask file\n    map_location : str\n        the device on which masks are placed, same to map_location in ```torch.load```\n    \"\"\"\n    if masks is not None:\n        masks = masks\n    elif masks_file is not None:\n        masks = torch.load(masks_file, map_location)\n    else:\n        raise ValueError(\"Either masks or masks_file must be passed to apply_compression_results\")\n    for name, module in model.named_modules():\n        if name in masks:\n            module.weight.data = module.weight.data.mul_(masks[name]['weight'])\n            if hasattr(module, 'bias') and module.bias is not None and 'bias' in masks[name]:\n                module.bias.data = module.bias.data.mul_(masks[name]['bias'])"
  },
  {
    "path": "src/aup/compression/torch/pruning/auto_compress_pruner.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport logging\nimport os\nimport copy\nimport torch\nfrom schema import And, Optional\n\nfrom ..torch_utils import OptimizeMode\nfrom .. import ModelSpeedup\n\nfrom ..compressor import Pruner\nfrom ..utils.config_validation import CompressorSchema\nfrom .simulated_annealing_pruner import SimulatedAnnealingPruner\nfrom .admm_pruner import ADMMPruner\n\n\n_logger = logging.getLogger(__name__)\n\n\nclass AutoCompressPruner(Pruner):\n    \"\"\"\n    A Pytorch implementation of AutoCompress pruning algorithm.\n\n    Parameters\n    ----------\n    model : pytorch model\n        The model to be pruned.\n    config_list : list\n        Supported keys:\n            - sparsity : The target overall sparsity.\n            - op_types : The operation type to prune.\n    trainer : function\n        Function used for the first subproblem of ADMM Pruner.\n        Users should write this function as a normal function to train the Pytorch model\n        and include `model, optimizer, criterion, epoch, callback` as function arguments.\n        Here `callback` acts as an L2 regulizer as presented in the formula (7) of the original paper.\n        The logic of `callback` is implemented inside the Pruner,\n        users are just required to insert `callback()` between `loss.backward()` and `optimizer.step()`.\n        Example::\n\n            def trainer(model, criterion, optimizer, epoch, callback):\n                device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n                train_loader = ...\n                model.train()\n                for batch_idx, (data, target) in enumerate(train_loader):\n                    data, target = data.to(device), target.to(device)\n                    optimizer.zero_grad()\n                    output = model(data)\n                    loss = criterion(output, target)\n                    loss.backward()\n                    # callback should be inserted between loss.backward() and optimizer.step()\n                    if callback:\n                        callback()\n                    optimizer.step()\n    evaluator : function\n        function to evaluate the pruned model.\n        This function should include `model` as the only parameter, and returns a scalar value.\n        Example::\n\n            def evaluator(model):\n                device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n                val_loader = ...\n                model.eval()\n                correct = 0\n                with torch.no_grad():\n                    for data, target in val_loader:\n                        data, target = data.to(device), target.to(device)\n                        output = model(data)\n                        # get the index of the max log-probability\n                        pred = output.argmax(dim=1, keepdim=True)\n                        correct += pred.eq(target.view_as(pred)).sum().item()\n                accuracy = correct / len(val_loader.dataset)\n                return accuracy\n    dummy_input : pytorch tensor\n        The dummy input for ```jit.trace```, users should put it on right device before pass in.\n    num_iterations : int\n        Number of overall iterations.\n    optimize_mode : str\n        optimize mode, `maximize` or `minimize`, by default `maximize`.\n    base_algo : str\n        Base pruning algorithm. `level`, `l1`, `l2` or `fpgm`, by default `l1`. Given the sparsity distribution among the ops,\n        the assigned `base_algo` is used to decide which filters/channels/weights to prune.\n    start_temperature : float\n        Start temperature of the simulated annealing process.\n    stop_temperature : float\n        Stop temperature of the simulated annealing process.\n    cool_down_rate : float\n        Cool down rate of the temperature.\n    perturbation_magnitude : float\n        Initial perturbation magnitude to the sparsities. The magnitude decreases with current temperature.\n    admm_num_iterations : int\n        Number of iterations of ADMM Pruner.\n    admm_training_epochs : int\n        Training epochs of the first optimization subproblem of ADMMPruner.\n    row : float\n        Penalty parameters for ADMM training.\n    experiment_data_dir : string\n        PATH to store temporary experiment data.\n    \"\"\"\n\n    def __init__(self, model, config_list, trainer, evaluator, dummy_input,\n                 num_iterations=3, optimize_mode='maximize', base_algo='l1',\n                 # SimulatedAnnealing related\n                 start_temperature=100, stop_temperature=20, cool_down_rate=0.9, perturbation_magnitude=0.35,\n                 # ADMM related\n                 admm_num_iterations=30, admm_training_epochs=5, row=1e-4,\n                 experiment_data_dir='./'):\n        # original model\n        self._model_to_prune = model\n        self._base_algo = base_algo\n\n        self._trainer = trainer\n        self._evaluator = evaluator\n        self._dummy_input = dummy_input\n        self._num_iterations = num_iterations\n        self._optimize_mode = OptimizeMode(optimize_mode)\n\n        # hyper parameters for SA algorithm\n        self._start_temperature = start_temperature\n        self._stop_temperature = stop_temperature\n        self._cool_down_rate = cool_down_rate\n        self._perturbation_magnitude = perturbation_magnitude\n\n        # hyper parameters for ADMM algorithm\n        self._admm_num_iterations = admm_num_iterations\n        self._admm_training_epochs = admm_training_epochs\n        self._row = row\n\n        # overall pruning rate\n        self._sparsity = config_list[0]['sparsity']\n\n        self._experiment_data_dir = experiment_data_dir\n        if not os.path.exists(self._experiment_data_dir):\n            os.makedirs(self._experiment_data_dir)\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list\n            List on pruning configs\n        \"\"\"\n\n        if self._base_algo == 'level':\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                Optional('op_types'): [str],\n                Optional('op_names'): [str],\n            }], model, _logger)\n        elif self._base_algo in ['l1', 'l2', 'fpgm']:\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                'op_types': ['Conv2d'],\n                Optional('op_names'): [str]\n            }], model, _logger)\n\n        schema.validate(config_list)\n\n    def calc_mask(self, wrapper, **kwargs):\n        return None\n\n    def compress(self):\n        \"\"\"\n        Compress the model with AutoCompress.\n\n        Returns\n        -------\n        torch.nn.Module\n            model with specified modules compressed.\n        \"\"\"\n        _logger.info('Starting AutoCompress pruning...')\n\n        sparsity_each_round = 1 - pow(1-self._sparsity, 1/self._num_iterations)\n\n        for i in range(self._num_iterations):\n            _logger.info('Pruning iteration: %d', i)\n            _logger.info('Target sparsity this round: %s',\n                         1-pow(1-sparsity_each_round, i+1))\n\n            # SimulatedAnnealingPruner\n            _logger.info(\n                'Generating sparsities with SimulatedAnnealingPruner...')\n            SApruner = SimulatedAnnealingPruner(\n                model=copy.deepcopy(self._model_to_prune),\n                config_list=[\n                    {\"sparsity\": sparsity_each_round, \"op_types\": ['Conv2d']}],\n                evaluator=self._evaluator,\n                optimize_mode=self._optimize_mode,\n                base_algo=self._base_algo,\n                start_temperature=self._start_temperature,\n                stop_temperature=self._stop_temperature,\n                cool_down_rate=self._cool_down_rate,\n                perturbation_magnitude=self._perturbation_magnitude,\n                experiment_data_dir=self._experiment_data_dir)\n            config_list = SApruner.compress(return_config_list=True)\n            _logger.info(\"Generated config_list : %s\", config_list)\n\n            # ADMMPruner\n            _logger.info('Performing structured pruning with ADMMPruner...')\n            ADMMpruner = ADMMPruner(\n                model=copy.deepcopy(self._model_to_prune),\n                config_list=config_list,\n                trainer=self._trainer,\n                num_iterations=self._admm_num_iterations,\n                training_epochs=self._admm_training_epochs,\n                row=self._row,\n                base_algo=self._base_algo)\n            ADMMpruner.compress()\n\n            ADMMpruner.export_model(os.path.join(self._experiment_data_dir, 'model_admm_masked.pth'), os.path.join(\n                self._experiment_data_dir, 'mask.pth'))\n\n            # use speed up to prune the model before next iteration, because SimulatedAnnealingPruner & ADMMPruner don't take masked models\n            self._model_to_prune.load_state_dict(torch.load(os.path.join(\n                self._experiment_data_dir, 'model_admm_masked.pth')))\n\n            masks_file = os.path.join(self._experiment_data_dir, 'mask.pth')\n            device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n\n            _logger.info('Speeding up models...')\n            m_speedup = ModelSpeedup(self._model_to_prune, self._dummy_input, masks_file=masks_file, map_location=device)\n            m_speedup.speedup_model()\n\n            evaluation_result = self._evaluator(self._model_to_prune)\n            _logger.info('Evaluation result of the pruned model in iteration %d: %s', i, evaluation_result)\n\n        _logger.info('----------Compression finished--------------')\n\n        os.remove(os.path.join(self._experiment_data_dir, 'model_admm_masked.pth'))\n        os.remove(os.path.join(self._experiment_data_dir, 'mask.pth'))\n\n        return self._model_to_prune\n\n    def export_model(self, model_path, mask_path=None, onnx_path=None, input_shape=None, device=None):\n        _logger.info(\"AutoCompressPruner export directly the pruned model without mask\")\n\n        torch.save(self._model_to_prune.state_dict(), model_path)\n        _logger.info('Model state_dict saved to %s', model_path)\n\n        if onnx_path is not None:\n            assert input_shape is not None, 'input_shape must be specified to export onnx model'\n            # input info needed\n            if device is None:\n                device = torch.device('cpu')\n            input_data = torch.Tensor(*input_shape)\n            torch.onnx.export(self._model_to_prune, input_data.to(device), onnx_path)\n            _logger.info('Model in onnx with input shape %s saved to %s', input_data.shape, onnx_path)\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/constants.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nfrom . import LevelPrunerMasker, SlimPrunerMasker, L1FilterPrunerMasker, \\\n    L2FilterPrunerMasker, FPGMPrunerMasker, TaylorFOWeightFilterPrunerMasker, \\\n    ActivationAPoZRankFilterPrunerMasker, ActivationMeanRankFilterPrunerMasker\n\nMASKER_DICT = {\n    'level': LevelPrunerMasker,\n    'slim': SlimPrunerMasker,\n    'l1': L1FilterPrunerMasker,\n    'l2': L2FilterPrunerMasker,\n    'fpgm': FPGMPrunerMasker,\n    'taylorfo': TaylorFOWeightFilterPrunerMasker,\n    'apoz': ActivationAPoZRankFilterPrunerMasker,\n    'mean_activation': ActivationMeanRankFilterPrunerMasker\n}\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/constants_pruner.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n\nfrom .one_shot import LevelPruner, L1FilterPruner, L2FilterPruner, FPGMPruner\n\nPRUNER_DICT = {\n    'level': LevelPruner,\n    'l1': L1FilterPruner,\n    'l2': L2FilterPruner,\n    'fpgm': FPGMPruner\n}\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/finegrained_pruning.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport logging\nimport torch\nfrom .weight_masker import WeightMasker\n\n__all__ = ['LevelPrunerMasker']\n\nlogger = logging.getLogger('torch pruner')\n\n\nclass LevelPrunerMasker(WeightMasker):\n    \"\"\"\n    Prune to an exact pruning level specification\n    \"\"\"\n\n    def calc_mask(self, sparsity, wrapper, wrapper_idx=None):\n        weight = wrapper.module.weight.data.clone()\n        if wrapper.weight_mask is not None:\n            # apply base mask for iterative pruning\n            weight = weight * wrapper.weight_mask\n\n        w_abs = weight.abs()\n        k = int(weight.numel() * sparsity)\n        if k == 0:\n            return {'weight_mask': torch.ones(weight.shape).type_as(weight)}\n        threshold = torch.topk(w_abs.view(-1), k, largest=False)[0].max()\n        mask_weight = torch.gt(w_abs, threshold).type_as(weight)\n        mask = {'weight_mask': mask_weight}\n        return mask\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/lottery_ticket.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport copy\nimport logging\nimport torch\nfrom schema import And, Optional\nfrom ..utils.config_validation import CompressorSchema\nfrom ..compressor import Pruner\nfrom .finegrained_pruning import LevelPrunerMasker\n\nlogger = logging.getLogger('torch pruner')\n\nclass LotteryTicketPruner(Pruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : pytorch model\n        The model to be pruned\n    config_list : list\n        Supported keys:\n            - prune_iterations : The number of rounds for the iterative pruning.\n            - sparsity : The final sparsity when the compression is done.\n    optimizer : pytorch optimizer\n        The optimizer for the model\n    lr_scheduler : pytorch lr scheduler\n        The lr scheduler for the model if used\n    reset_weights : bool\n        Whether reset weights and optimizer at the beginning of each round.\n    \"\"\"\n    def __init__(self, model, config_list, optimizer=None, lr_scheduler=None, reset_weights=True):\n        # save init weights and optimizer\n        self.reset_weights = reset_weights\n        if self.reset_weights:\n            self._model = model\n            self._optimizer = optimizer\n            self._model_state = copy.deepcopy(model.state_dict())\n            self._optimizer_state = copy.deepcopy(optimizer.state_dict())\n            self._lr_scheduler = lr_scheduler\n            if lr_scheduler is not None:\n                self._scheduler_state = copy.deepcopy(lr_scheduler.state_dict())\n\n        super().__init__(model, config_list, optimizer)\n        self.curr_prune_iteration = None\n        self.prune_iterations = config_list[0]['prune_iterations']\n        self.masker = LevelPrunerMasker(model, self)\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list\n            Supported keys:\n                - prune_iterations : The number of rounds for the iterative pruning.\n                - sparsity : The final sparsity when the compression is done.\n        \"\"\"\n        schema = CompressorSchema([{\n            'sparsity': And(float, lambda n: 0 < n < 1),\n            'prune_iterations': And(int, lambda n: n > 0),\n            Optional('op_types'): [str],\n            Optional('op_names'): [str]\n        }], model, logger)\n\n        schema.validate(config_list)\n        assert len(set([x['prune_iterations'] for x in config_list])) == 1, 'The values of prune_iterations must be equal in your config'\n\n    def _calc_sparsity(self, sparsity):\n        keep_ratio_once = (1 - sparsity) ** (1 / self.prune_iterations)\n        curr_keep_ratio = keep_ratio_once ** self.curr_prune_iteration\n        return max(1 - curr_keep_ratio, 0)\n\n    def _calc_mask(self, wrapper, sparsity):\n        weight = wrapper.module.weight.data\n        if self.curr_prune_iteration == 0:\n            mask = {'weight_mask': torch.ones(weight.shape).type_as(weight)}\n        else:\n            curr_sparsity = self._calc_sparsity(sparsity)\n            mask = self.masker.calc_mask(sparsity=curr_sparsity, wrapper=wrapper)\n        return mask\n\n    def calc_mask(self, wrapper, **kwargs):\n        \"\"\"\n        Generate mask for the given ``weight``.\n\n        Parameters\n        ----------\n        wrapper : Module\n            The layer to be pruned\n\n        Returns\n        -------\n        tensor\n            The mask for this weight, it is ```None``` because this pruner\n            calculates and assigns masks in ```prune_iteration_start```,\n            no need to do anything in this function.\n        \"\"\"\n        return None\n\n    def get_prune_iterations(self):\n        \"\"\"\n        Return the range for iterations.\n        In the first prune iteration, masks are all one, thus, add one more iteration\n\n        Returns\n        -------\n        list\n            A list for pruning iterations\n        \"\"\"\n        return range(self.prune_iterations + 1)\n\n    def prune_iteration_start(self):\n        \"\"\"\n        Control the pruning procedure on updated epoch number.\n        Should be called at the beginning of the epoch.\n        \"\"\"\n        if self.curr_prune_iteration is None:\n            self.curr_prune_iteration = 0\n        else:\n            self.curr_prune_iteration += 1\n        assert self.curr_prune_iteration < self.prune_iterations + 1, 'Exceed the configured prune_iterations'\n\n        modules_wrapper = self.get_modules_wrapper()\n        modules_to_compress = self.get_modules_to_compress()\n        for layer, config in modules_to_compress:\n            module_wrapper = None\n            for wrapper in modules_wrapper:\n                if wrapper.name == layer.name:\n                    module_wrapper = wrapper\n                    break\n            assert module_wrapper is not None\n\n            sparsity = config.get('sparsity')\n            mask = self._calc_mask(module_wrapper, sparsity)\n            # TODO: directly use weight_mask is not good\n            module_wrapper.weight_mask = mask['weight_mask']\n            # there is no mask for bias\n\n        # reinit weights back to original after new masks are generated\n        if self.reset_weights:\n            # should use this member function to reset model weights\n            self.load_model_state_dict(self._model_state)\n            self._optimizer.load_state_dict(self._optimizer_state)\n            if self._lr_scheduler is not None:\n                self._lr_scheduler.load_state_dict(self._scheduler_state)\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/net_adapt_pruner.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport logging\nimport os\nimport copy\nimport json\nimport torch\nfrom schema import And, Optional\n\nfrom ..torch_utils import OptimizeMode\n\nfrom ..compressor import Pruner\nfrom ..utils.config_validation import CompressorSchema\nfrom ..utils.num_param_counter import get_total_num_weights\nfrom .constants_pruner import PRUNER_DICT\n\n\n_logger = logging.getLogger(__name__)\n\n\nclass NetAdaptPruner(Pruner):\n    \"\"\"\n    A Pytorch implementation of NetAdapt compression algorithm.\n\n    Parameters\n    ----------\n    model : pytorch model\n        The model to be pruned.\n    config_list : list\n        Supported keys:\n            - sparsity : The target overall sparsity.\n            - op_types : The operation type to prune.\n    short_term_fine_tuner : function\n        function to short-term fine tune the masked model.\n        This function should include `model` as the only parameter,\n        and fine tune the model for a short term after each pruning iteration.\n        Example::\n\n            def short_term_fine_tuner(model, epoch=3):\n                device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n                train_loader = ...\n                criterion = torch.nn.CrossEntropyLoss()\n                optimizer = torch.optim.SGD(model.parameters(), lr=0.01)\n                model.train()\n                for _ in range(epoch):\n                    for batch_idx, (data, target) in enumerate(train_loader):\n                        data, target = data.to(device), target.to(device)\n                        optimizer.zero_grad()\n                        output = model(data)\n                        loss = criterion(output, target)\n                        loss.backward()\n                        optimizer.step()\n    evaluator : function\n        function to evaluate the masked model.\n        This function should include `model` as the only parameter, and returns a scalar value.\n        Example::\n\n            def evaluator(model):\n                device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n                val_loader = ...\n                model.eval()\n                correct = 0\n                with torch.no_grad():\n                    for data, target in val_loader:\n                        data, target = data.to(device), target.to(device)\n                        output = model(data)\n                        # get the index of the max log-probability\n                        pred = output.argmax(dim=1, keepdim=True)\n                        correct += pred.eq(target.view_as(pred)).sum().item()\n                accuracy = correct / len(val_loader.dataset)\n                return accuracy\n    optimize_mode : str\n        optimize mode, `maximize` or `minimize`, by default `maximize`.\n    base_algo : str\n        Base pruning algorithm. `level`, `l1`, `l2` or `fpgm`, by default `l1`. Given the sparsity distribution among the ops,\n        the assigned `base_algo` is used to decide which filters/channels/weights to prune.\n    sparsity_per_iteration : float\n        sparsity to prune in each iteration.\n    experiment_data_dir : str\n        PATH to save experiment data,\n        including the config_list generated for the base pruning algorithm and the performance of the pruned model.\n    \"\"\"\n\n    def __init__(self, model, config_list, short_term_fine_tuner, evaluator,\n                 optimize_mode='maximize', base_algo='l1', sparsity_per_iteration=0.05, experiment_data_dir='./'):\n        # models used for iterative pruning and evaluation\n        self._model_to_prune = copy.deepcopy(model)\n        self._base_algo = base_algo\n\n        super().__init__(model, config_list)\n\n        self._short_term_fine_tuner = short_term_fine_tuner\n        self._evaluator = evaluator\n        self._optimize_mode = OptimizeMode(optimize_mode)\n\n        # hyper parameters for NetAdapt algorithm\n        self._sparsity_per_iteration = sparsity_per_iteration\n\n        # overall pruning rate\n        self._sparsity = config_list[0]['sparsity']\n\n        # config_list\n        self._config_list_generated = []\n\n        self._experiment_data_dir = experiment_data_dir\n        if not os.path.exists(self._experiment_data_dir):\n            os.makedirs(self._experiment_data_dir)\n\n        self._tmp_model_path = os.path.join(self._experiment_data_dir, 'tmp_model.pth')\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list\n            List on pruning configs\n        \"\"\"\n\n        if self._base_algo == 'level':\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                Optional('op_types'): [str],\n                Optional('op_names'): [str],\n            }], model, _logger)\n        elif self._base_algo in ['l1', 'l2', 'fpgm']:\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                'op_types': ['Conv2d'],\n                Optional('op_names'): [str]\n            }], model, _logger)\n\n        schema.validate(config_list)\n\n    def calc_mask(self, wrapper, **kwargs):\n        return None\n\n    def _update_config_list(self, config_list, op_name, sparsity):\n        '''\n        update sparsity of op_name in config_list\n        '''\n        config_list_updated = copy.deepcopy(config_list)\n\n        for idx, item in enumerate(config_list):\n            if op_name in item['op_names']:\n                config_list_updated[idx]['sparsity'] = sparsity\n                return config_list_updated\n\n        # if op_name is not in self._config_list_generated, create a new json item\n        if self._base_algo in ['l1', 'l2', 'fpgm']:\n            config_list_updated.append(\n                {'sparsity': sparsity, 'op_types': ['Conv2d'], 'op_names': [op_name]})\n        elif self._base_algo == 'level':\n            config_list_updated.append(\n                {'sparsity': sparsity, 'op_names': [op_name]})\n\n        return config_list_updated\n\n    def _get_op_num_weights_remained(self, op_name, module):\n        '''\n        Get the number of weights remained after channel pruning with current sparsity\n\n        Returns\n        -------\n        int\n            remained number of weights of the op\n        '''\n\n        # if op is wrapped by the pruner\n        for wrapper in self.get_modules_wrapper():\n            if wrapper.name == op_name:\n                return wrapper.weight_mask.sum().item()\n\n        # if op is not wrapped by the pruner\n        return module.weight.data.numel()\n\n    def _get_op_sparsity(self, op_name):\n        for config in self._config_list_generated:\n            if 'op_names' in config and op_name in config['op_names']:\n                return config['sparsity']\n        return 0\n\n    def _calc_num_related_weights(self, op_name):\n        '''\n        Calculate total number weights of the op and the next op, applicable only for models without dependencies among ops\n\n        Parameters\n        ----------\n        op_name : str\n\n        Returns\n        -------\n        int\n            total number of all the realted (current and the next) op weights\n        '''\n        num_weights = 0\n        flag_found = False\n        previous_name = None\n        previous_module = None\n\n        for name, module in self._model_to_prune.named_modules():\n            if not flag_found and name != op_name and type(module).__name__ in ['Conv2d', 'Linear']:\n                previous_name = name\n                previous_module = module\n            if not flag_found and name == op_name:\n                _logger.debug(\"original module found: %s\", name)\n                num_weights = module.weight.data.numel()\n\n                # consider related pruning in this op caused by previous op's pruning\n                if previous_module:\n                    sparsity_previous_op = self._get_op_sparsity(previous_name)\n                    if sparsity_previous_op:\n                        _logger.debug(\n                            \"decrease op's weights by %s due to previous op %s's pruning...\", sparsity_previous_op, previous_name)\n                        num_weights *= (1-sparsity_previous_op)\n\n                flag_found = True\n                continue\n            if flag_found and type(module).__name__ in ['Conv2d', 'Linear']:\n                _logger.debug(\"related module found: %s\", name)\n                # channel/filter pruning crossing is considered here, so only the num_weights after channel pruning is valuable\n                num_weights += self._get_op_num_weights_remained(name, module)\n                break\n\n        _logger.debug(\"num related weights of op %s : %d\", op_name, num_weights)\n\n        return num_weights\n\n    def compress(self):\n        \"\"\"\n        Compress the model.\n\n        Returns\n        -------\n        torch.nn.Module\n            model with specified modules compressed.\n        \"\"\"\n        _logger.info('Starting NetAdapt Compression...')\n\n        pruning_iteration = 0\n        current_sparsity = 0\n        delta_num_weights_per_iteration = \\\n            int(get_total_num_weights(self._model_to_prune, ['Conv2d', 'Linear']) * self._sparsity_per_iteration)\n\n        # stop condition\n        while current_sparsity < self._sparsity:\n            _logger.info('Pruning iteration: %d', pruning_iteration)\n\n            # calculate target sparsity of this iteration\n            target_sparsity = current_sparsity + self._sparsity_per_iteration\n\n            # variable to store the info of the best layer found in this iteration\n            best_op = {}\n\n            for wrapper in self.get_modules_wrapper():\n                _logger.debug(\"op name : %s\", wrapper.name)\n                _logger.debug(\"op weights : %d\", wrapper.weight_mask.numel())\n                _logger.debug(\"op left weights : %d\", wrapper.weight_mask.sum().item())\n\n                current_op_sparsity = 1 - wrapper.weight_mask.sum().item() / wrapper.weight_mask.numel()\n                _logger.debug(\"current op sparsity : %s\", current_op_sparsity)\n\n                # sparsity that this layer needs to prune to satisfy the requirement\n                target_op_sparsity = current_op_sparsity + delta_num_weights_per_iteration / self._calc_num_related_weights(wrapper.name)\n\n                if target_op_sparsity >= 1:\n                    _logger.info('Layer %s has no enough weights (remained) to prune', wrapper.name)\n                    continue\n\n                config_list = self._update_config_list(self._config_list_generated, wrapper.name, target_op_sparsity)\n                _logger.debug(\"config_list used : %s\", config_list)\n\n                pruner = PRUNER_DICT[self._base_algo](copy.deepcopy(self._model_to_prune), config_list)\n                model_masked = pruner.compress()\n\n                # Short-term fine tune the pruned model\n                self._short_term_fine_tuner(model_masked)\n\n                performance = self._evaluator(model_masked)\n                _logger.info(\"Layer : %s, evaluation result after short-term fine tuning : %s\", wrapper.name, performance)\n\n                if not best_op \\\n                    or (self._optimize_mode is OptimizeMode.Maximize and performance > best_op['performance']) \\\n                    or (self._optimize_mode is OptimizeMode.Minimize and performance < best_op['performance']):\n                    _logger.debug(\"updating best layer to %s...\", wrapper.name)\n                    # find weight mask of this layer\n                    for w in pruner.get_modules_wrapper():\n                        if w.name == wrapper.name:\n                            masks = {'weight_mask': w.weight_mask,\n                                     'bias_mask': w.bias_mask}\n                            break\n                    best_op = {\n                        'op_name': wrapper.name,\n                        'sparsity': target_op_sparsity,\n                        'performance': performance,\n                        'masks': masks\n                    }\n\n                    # save model weights\n                    pruner.export_model(self._tmp_model_path)\n\n            if not best_op:\n                # decrease pruning step\n                self._sparsity_per_iteration *= 0.5\n                _logger.info(\"No more layers to prune, decrease pruning step to %s\", self._sparsity_per_iteration)\n                continue\n\n            # Pick the best layer to prune, update iterative information\n            # update config_list\n            self._config_list_generated = self._update_config_list(\n                self._config_list_generated, best_op['op_name'], best_op['sparsity'])\n\n            # update weights parameters\n            self._model_to_prune.load_state_dict(torch.load(self._tmp_model_path))\n\n            # update mask of the chosen op\n            for wrapper in self.get_modules_wrapper():\n                if wrapper.name == best_op['op_name']:\n                    for k in best_op['masks']:\n                        setattr(wrapper, k, best_op['masks'][k])\n                    break\n\n            current_sparsity = target_sparsity\n            _logger.info('Pruning iteration %d finished, current sparsity: %s', pruning_iteration, current_sparsity)\n            _logger.info('Layer %s seleted with sparsity %s, performance after pruning & short term fine-tuning : %s',\n                         best_op['op_name'], best_op['sparsity'], best_op['performance'])\n            pruning_iteration += 1\n\n            self._final_performance = best_op['performance']\n\n        # load weights parameters\n        self.load_model_state_dict(torch.load(self._tmp_model_path))\n        os.remove(self._tmp_model_path)\n\n        _logger.info('----------Compression finished--------------')\n        _logger.info('config_list generated: %s', self._config_list_generated)\n        _logger.info(\"Performance after pruning: %s\", self._final_performance)\n        _logger.info(\"Masked sparsity: %.6f\", current_sparsity)\n\n        # save best config found and best performance\n        with open(os.path.join(self._experiment_data_dir, 'search_result.json'), 'w') as jsonfile:\n            json.dump({\n                'performance': self._final_performance,\n                'config_list': json.dumps(self._config_list_generated)\n            }, jsonfile)\n\n        _logger.info('search history and result saved to foler : %s', self._experiment_data_dir)\n\n        return self.bound_model\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/one_shot.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport logging\nfrom schema import And, Optional, SchemaError\nfrom .._graph_utils import TorchModuleGraph\nfrom ..utils.shape_dependency import ChannelDependency, GroupDependency\nfrom .constants import MASKER_DICT\nfrom ..utils.config_validation import CompressorSchema\nfrom ..compressor import Pruner\n\n\n__all__ = ['LevelPruner', 'SlimPruner', 'L1FilterPruner', 'L2FilterPruner', 'FPGMPruner',\n           'TaylorFOWeightFilterPruner', 'ActivationAPoZRankFilterPruner', 'ActivationMeanRankFilterPruner']\n\nlogger = logging.getLogger(__name__)\nlogger.setLevel(logging.INFO)\n\n\nclass OneshotPruner(Pruner):\n    \"\"\"\n    Prune model to an exact pruning level for one time.\n    \"\"\"\n\n    def __init__(self, model, config_list, pruning_algorithm='level', optimizer=None, **algo_kwargs):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list\n            List on pruning configs\n        pruning_algorithm: str\n            algorithms being used to prune model\n        optimizer: torch.optim.Optimizer\n            Optimizer used to train model\n        algo_kwargs: dict\n            Additional parameters passed to pruning algorithm masker class\n        \"\"\"\n\n        super().__init__(model, config_list, optimizer)\n        self.set_wrappers_attribute(\"if_calculated\", False)\n        self.masker = MASKER_DICT[pruning_algorithm](\n            model, self, **algo_kwargs)\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list\n            List on pruning configs\n        \"\"\"\n        schema = CompressorSchema([{\n            'sparsity': And(float, lambda n: 0 < n < 1),\n            Optional('op_types'): [str],\n            Optional('op_names'): [str]\n        }], model, logger)\n\n        schema.validate(config_list)\n\n    def calc_mask(self, wrapper, wrapper_idx=None):\n        \"\"\"\n        Calculate the mask of given layer\n        Parameters\n        ----------\n        wrapper : Module\n            the module to instrument the compression operation\n        wrapper_idx: int\n            index of this wrapper in pruner's all wrappers\n        Returns\n        -------\n        dict\n            dictionary for storing masks, keys of the dict:\n            'weight_mask':  weight mask tensor\n            'bias_mask': bias mask tensor (optional)\n        \"\"\"\n        if wrapper.if_calculated:\n            return None\n\n        sparsity = wrapper.config['sparsity']\n        if not wrapper.if_calculated:\n            masks = self.masker.calc_mask(\n                sparsity=sparsity, wrapper=wrapper, wrapper_idx=wrapper_idx)\n\n            # masker.calc_mask returns None means calc_mask is not calculated sucessfully, can try later\n            if masks is not None:\n                wrapper.if_calculated = True\n            return masks\n        else:\n            return None\n\n\nclass LevelPruner(OneshotPruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned\n    config_list : list\n        Supported keys:\n            - sparsity : This is to specify the sparsity operations to be compressed to.\n            - op_types : Operation types to prune.\n    optimizer: torch.optim.Optimizer\n            Optimizer used to train model\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        super().__init__(model, config_list, pruning_algorithm='level', optimizer=optimizer)\n\n\nclass SlimPruner(OneshotPruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned\n    config_list : list\n        Supported keys:\n            - sparsity : This is to specify the sparsity operations to be compressed to.\n            - op_types : Only BatchNorm2d is supported in Slim Pruner.\n    optimizer: torch.optim.Optimizer\n            Optimizer used to train model\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        super().__init__(model, config_list, pruning_algorithm='slim', optimizer=optimizer)\n\n    def validate_config(self, model, config_list):\n        schema = CompressorSchema([{\n            'sparsity': And(float, lambda n: 0 < n < 1),\n            'op_types': ['BatchNorm2d'],\n            Optional('op_names'): [str]\n        }], model, logger)\n\n        schema.validate(config_list)\n\n        if len(config_list) > 1:\n            logger.warning('Slim pruner only supports 1 configuration')\n\n\nclass _StructuredFilterPruner(OneshotPruner):\n    \"\"\"\n    _StructuredFilterPruner has two ways to calculate the masks\n    for conv layers. In the normal way, the _StructuredFilterPruner\n    will calculate the mask of each layer separately. For example, each\n    conv layer determine which filters should be pruned according to its L1\n    norm. In constrast, in the dependency-aware way, the layers that in a\n    dependency group will be pruned jointly and these layers will be forced\n    to prune the same channels.\n    \"\"\"\n\n    def __init__(self, model, config_list, pruning_algorithm, optimizer=None, dependency_aware=False, dummy_input=None, **algo_kwargs):\n        super().__init__(model, config_list, pruning_algorithm=pruning_algorithm,\n                         optimizer=optimizer, **algo_kwargs)\n        self.dependency_aware = dependency_aware\n        # set the dependency-aware switch for the masker\n        self.masker.dependency_aware = dependency_aware\n        self.dummy_input = dummy_input\n        if self.dependency_aware:\n            errmsg = \"When dependency_aware is set, the dummy_input should not be None\"\n            assert self.dummy_input is not None, errmsg\n            # Get the TorchModuleGraph of the target model\n            # to trace the model, we need to unwrap the wrappers\n            self._unwrap_model()\n            self.graph = TorchModuleGraph(model, dummy_input)\n            self._wrap_model()\n            self.channel_depen = ChannelDependency(\n                traced_model=self.graph.trace)\n            self.group_depen = GroupDependency(traced_model=self.graph.trace)\n            self.channel_depen = self.channel_depen.dependency_sets\n            self.channel_depen = {\n                name: sets for sets in self.channel_depen for name in sets}\n            self.group_depen = self.group_depen.dependency_sets\n\n    def update_mask(self):\n        if not self.dependency_aware:\n            # if we use the normal way to update the mask,\n            # then call the update_mask of the father class\n            super(_StructuredFilterPruner, self).update_mask()\n        else:\n            # if we update the mask in a dependency-aware way\n            # then we call _dependency_update_mask\n            self._dependency_update_mask()\n\n    def validate_config(self, model, config_list):\n        schema = CompressorSchema([{\n            Optional('sparsity'): And(float, lambda n: 0 < n < 1),\n            Optional('op_types'): ['Conv2d'],\n            Optional('op_names'): [str],\n            Optional('exclude'): bool\n        }], model, logger)\n\n        schema.validate(config_list)\n        for config in config_list:\n            if 'exclude' not in config and 'sparsity' not in config:\n                raise SchemaError('Either sparisty or exclude must be specified!')\n\n    def _dependency_calc_mask(self, wrappers, channel_dsets, wrappers_idx=None):\n        \"\"\"\n        calculate the masks for the conv layers in the same\n        channel dependecy set. All the layers passed in have\n        the same number of channels.\n\n        Parameters\n        ----------\n        wrappers: list\n            The list of the wrappers that in the same channel dependency\n            set.\n        wrappers_idx: list\n            The list of the indexes of wrapppers.\n        Returns\n        -------\n        masks: dict\n            A dict object that contains the masks of the layers in this\n            dependency group, the key is the name of the convolutional layers.\n        \"\"\"\n        # The number of the groups for each conv layers\n        # Note that, this number may be different from its\n        # original number of groups of filters.\n        groups = [self.group_depen[_w.name] for _w in wrappers]\n        sparsities = [_w.config['sparsity'] for _w in wrappers]\n        masks = self.masker.calc_mask(\n            sparsities, wrappers, wrappers_idx, channel_dsets=channel_dsets, groups=groups)\n        if masks is not None:\n            # if masks is None, then the mask calculation fails.\n            # for example, in activation related maskers, we should\n            # pass enough batches of data to the model, so that the\n            # masks can be calculated successfully.\n            for _w in wrappers:\n                _w.if_calculated = True\n        return masks\n\n    def _dependency_update_mask(self):\n        \"\"\"\n        In the original update_mask, the wraper of each layer will update its\n        own mask according to the sparsity specified in the config_list. However, in\n        the _dependency_update_mask, we may prune several layers at the same\n        time according the sparsities and the channel/group dependencies.\n        \"\"\"\n        name2wrapper = {x.name: x for x in self.get_modules_wrapper()}\n        wrapper2index = {x: i for i, x in enumerate(self.get_modules_wrapper())}\n        for wrapper in self.get_modules_wrapper():\n            if wrapper.if_calculated:\n                continue\n            # find all the conv layers that have channel dependecy with this layer\n            # and prune all these layers at the same time.\n            _names = [x for x in self.channel_depen[wrapper.name]]\n            logger.info('Pruning the dependent layers: %s', ','.join(_names))\n            _wrappers = [name2wrapper[name]\n                         for name in _names if name in name2wrapper]\n            _wrapper_idxes = [wrapper2index[_w] for _w in _wrappers]\n\n            masks = self._dependency_calc_mask(\n                _wrappers, _names, wrappers_idx=_wrapper_idxes)\n            if masks is not None:\n                for layer in masks:\n                    for mask_type in masks[layer]:\n                        assert hasattr(\n                            name2wrapper[layer], mask_type), \"there is no attribute '%s' in wrapper on %s\" % (mask_type, layer)\n                        setattr(name2wrapper[layer], mask_type, masks[layer][mask_type])\n\n\nclass L1FilterPruner(_StructuredFilterPruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned\n    config_list : list\n        Supported keys:\n            - sparsity : This is to specify the sparsity operations to be compressed to.\n            - op_types : Only Conv2d is supported in L1FilterPruner.\n    optimizer: torch.optim.Optimizer\n            Optimizer used to train model\n    dependency_aware: bool\n        If prune the model in a dependency-aware way. If it is `True`, this pruner will\n        prune the model according to the l2-norm of weights and the channel-dependency or\n        group-dependency of the model. In this way, the pruner will force the conv layers\n        that have dependencies to prune the same channels, so the speedup module can better\n        harvest the speed benefit from the pruned model. Note that, if this flag is set True\n        , the dummy_input cannot be None, because the pruner needs a dummy input to trace the\n        dependency between the conv layers.\n    dummy_input : torch.Tensor\n        The dummy input to analyze the topology constraints. Note that, the dummy_input\n        should on the same device with the model.\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None, dependency_aware=False, dummy_input=None):\n        super().__init__(model, config_list, pruning_algorithm='l1', optimizer=optimizer,\n                         dependency_aware=dependency_aware, dummy_input=dummy_input)\n\n\nclass L2FilterPruner(_StructuredFilterPruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned\n    config_list : list\n        Supported keys:\n            - sparsity : This is to specify the sparsity operations to be compressed to.\n            - op_types : Only Conv2d is supported in L2FilterPruner.\n    optimizer: torch.optim.Optimizer\n            Optimizer used to train model\n    dependency_aware: bool\n        If prune the model in a dependency-aware way. If it is `True`, this pruner will\n        prune the model according to the l2-norm of weights and the channel-dependency or\n        group-dependency of the model. In this way, the pruner will force the conv layers\n        that have dependencies to prune the same channels, so the speedup module can better\n        harvest the speed benefit from the pruned model. Note that, if this flag is set True\n        , the dummy_input cannot be None, because the pruner needs a dummy input to trace the\n        dependency between the conv layers.\n    dummy_input : torch.Tensor\n        The dummy input to analyze the topology constraints. Note that, the dummy_input\n        should on the same device with the model.\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None, dependency_aware=False, dummy_input=None):\n        super().__init__(model, config_list, pruning_algorithm='l2', optimizer=optimizer,\n                         dependency_aware=dependency_aware, dummy_input=dummy_input)\n\n\nclass FPGMPruner(_StructuredFilterPruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned\n    config_list : list\n        Supported keys:\n            - sparsity : This is to specify the sparsity operations to be compressed to.\n            - op_types : Only Conv2d is supported in FPGM Pruner.\n    optimizer: torch.optim.Optimizer\n            Optimizer used to train model\n    dependency_aware: bool\n        If prune the model in a dependency-aware way. If it is `True`, this pruner will\n        prune the model according to the l2-norm of weights and the channel-dependency or\n        group-dependency of the model. In this way, the pruner will force the conv layers\n        that have dependencies to prune the same channels, so the speedup module can better\n        harvest the speed benefit from the pruned model. Note that, if this flag is set True\n        , the dummy_input cannot be None, because the pruner needs a dummy input to trace the\n        dependency between the conv layers.\n    dummy_input : torch.Tensor\n        The dummy input to analyze the topology constraints. Note that, the dummy_input\n        should on the same device with the model.\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None, dependency_aware=False, dummy_input=None):\n        super().__init__(model, config_list, pruning_algorithm='fpgm',\n                         dependency_aware=dependency_aware, dummy_input=dummy_input, optimizer=optimizer)\n\n\nclass TaylorFOWeightFilterPruner(_StructuredFilterPruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned\n    config_list : list\n        Supported keys:\n            - sparsity : How much percentage of convolutional filters are to be pruned.\n            - op_types : Currently only Conv2d is supported in TaylorFOWeightFilterPruner.\n    optimizer: torch.optim.Optimizer\n            Optimizer used to train model\n    statistics_batch_num: int\n        The number of batches to statistic the activation.\n    dependency_aware: bool\n        If prune the model in a dependency-aware way. If it is `True`, this pruner will\n        prune the model according to the l2-norm of weights and the channel-dependency or\n        group-dependency of the model. In this way, the pruner will force the conv layers\n        that have dependencies to prune the same channels, so the speedup module can better\n        harvest the speed benefit from the pruned model. Note that, if this flag is set True\n        , the dummy_input cannot be None, because the pruner needs a dummy input to trace the\n        dependency between the conv layers.\n    dummy_input : torch.Tensor\n        The dummy input to analyze the topology constraints. Note that, the dummy_input\n        should on the same device with the model.\n\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None, statistics_batch_num=1,\n                 dependency_aware=False, dummy_input=None):\n        super().__init__(model, config_list, pruning_algorithm='taylorfo',\n                         dependency_aware=dependency_aware, dummy_input=dummy_input,\n                         optimizer=optimizer, statistics_batch_num=statistics_batch_num)\n\n\nclass ActivationAPoZRankFilterPruner(_StructuredFilterPruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned\n    config_list : list\n        Supported keys:\n            - sparsity : How much percentage of convolutional filters are to be pruned.\n            - op_types : Only Conv2d is supported in ActivationAPoZRankFilterPruner.\n    optimizer: torch.optim.Optimizer\n            Optimizer used to train model\n    activation: str\n        The activation type.\n    statistics_batch_num: int\n        The number of batches to statistic the activation.\n    dependency_aware: bool\n        If prune the model in a dependency-aware way. If it is `True`, this pruner will\n        prune the model according to the l2-norm of weights and the channel-dependency or\n        group-dependency of the model. In this way, the pruner will force the conv layers\n        that have dependencies to prune the same channels, so the speedup module can better\n        harvest the speed benefit from the pruned model. Note that, if this flag is set True\n        , the dummy_input cannot be None, because the pruner needs a dummy input to trace the\n        dependency between the conv layers.\n    dummy_input : torch.Tensor\n        The dummy input to analyze the topology constraints. Note that, the dummy_input\n        should on the same device with the model.\n\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None, activation='relu',\n                 statistics_batch_num=1, dependency_aware=False, dummy_input=None):\n        super().__init__(model, config_list, pruning_algorithm='apoz', optimizer=optimizer,\n                         dependency_aware=dependency_aware, dummy_input=dummy_input,\n                         activation=activation, statistics_batch_num=statistics_batch_num)\n\n\nclass ActivationMeanRankFilterPruner(_StructuredFilterPruner):\n    \"\"\"\n    Parameters\n    ----------\n    model : torch.nn.Module\n        Model to be pruned\n    config_list : list\n        Supported keys:\n            - sparsity : How much percentage of convolutional filters are to be pruned.\n            - op_types : Only Conv2d is supported in ActivationMeanRankFilterPruner.\n    optimizer: torch.optim.Optimizer\n            Optimizer used to train model.\n    activation: str\n        The activation type.\n    statistics_batch_num: int\n        The number of batches to statistic the activation.\n    dependency_aware: bool\n        If prune the model in a dependency-aware way. If it is `True`, this pruner will\n        prune the model according to the l2-norm of weights and the channel-dependency or\n        group-dependency of the model. In this way, the pruner will force the conv layers\n        that have dependencies to prune the same channels, so the speedup module can better\n        harvest the speed benefit from the pruned model. Note that, if this flag is set True\n        , the dummy_input cannot be None, because the pruner needs a dummy input to trace the\n        dependency between the conv layers.\n    dummy_input : torch.Tensor\n        The dummy input to analyze the topology constraints. Note that, the dummy_input\n        should on the same device with the model.\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None, activation='relu',\n                 statistics_batch_num=1, dependency_aware=False, dummy_input=None):\n        super().__init__(model, config_list, pruning_algorithm='mean_activation', optimizer=optimizer,\n                         dependency_aware=dependency_aware, dummy_input=dummy_input,\n                         activation=activation, statistics_batch_num=statistics_batch_num)\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/sensitivity_pruner.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport os\nimport csv\nimport copy\nimport json\nimport logging\nimport torch\n\nfrom schema import And, Optional\nfrom ..compressor import Pruner\nfrom ..utils.config_validation import CompressorSchema\nfrom .constants_pruner import PRUNER_DICT\nfrom ..utils.sensitivity_analysis import SensitivityAnalysis\n\n\nMAX_PRUNE_RATIO_PER_ITER = 0.95\n\n_logger = logging.getLogger('Sensitivity_Pruner')\n_logger.setLevel(logging.INFO)\n\nclass SensitivityPruner(Pruner):\n    \"\"\"\n    This function prune the model based on the sensitivity\n    for each layer.\n\n    Parameters\n    ----------\n    model: torch.nn.Module\n        model to be compressed\n    evaluator: function\n        validation function for the model. This function should return the accuracy\n        of the validation dataset. The input parameters of evaluator can be specified\n        in the parameter `eval_args` and 'eval_kwargs' of the compress function if needed.\n        Example:\n        >>> def evaluator(model):\n        >>>     device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n        >>>     val_loader = ...\n        >>>     model.eval()\n        >>>     correct = 0\n        >>>     with torch.no_grad():\n        >>>         for data, target in val_loader:\n        >>>             data, target = data.to(device), target.to(device)\n        >>>             output = model(data)\n        >>>             # get the index of the max log-probability\n        >>>             pred = output.argmax(dim=1, keepdim=True)\n        >>>             correct += pred.eq(target.view_as(pred)).sum().item()\n        >>>     accuracy = correct / len(val_loader.dataset)\n        >>>     return accuracy\n    finetuner: function\n        finetune function for the model. This parameter is not essential, if is not None,\n        the sensitivity pruner will finetune the model after pruning in each iteration.\n        The input parameters of finetuner can be specified in the parameter of compress\n        called `finetune_args` and `finetune_kwargs` if needed.\n        Example:\n        >>> def finetuner(model, epoch=3):\n        >>>     device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n        >>>     train_loader = ...\n        >>>     criterion = torch.nn.CrossEntropyLoss()\n        >>>     optimizer = torch.optim.SGD(model.parameters(), lr=0.01)\n        >>>     model.train()\n        >>>     for _ in range(epoch):\n        >>>         for _, (data, target) in enumerate(train_loader):\n        >>>             data, target = data.to(device), target.to(device)\n        >>>             optimizer.zero_grad()\n        >>>             output = model(data)\n        >>>             loss = criterion(output, target)\n        >>>             loss.backward()\n        >>>             optimizer.step()\n    base_algo: str\n        base pruning algorithm. `level`, `l1`, `l2` or `fpgm`, by default `l1`.\n    sparsity_proportion_calc: function\n        This function generate the sparsity proportion between the conv layers according to the\n        sensitivity analysis results. We provide a default function to quantify the sparsity\n        proportion according to the sensitivity analysis results. Users can also customize\n        this function according to their needs. The input of this function is a dict,\n        for example : {'conv1' : {0.1: 0.9, 0.2 : 0.8}, 'conv2' : {0.1: 0.9, 0.2 : 0.8}},\n        in which, 'conv1' and is the name of the conv layer, and 0.1:0.9 means when the\n        sparsity of conv1 is 0.1 (10%), the model's val accuracy equals to 0.9.\n    sparsity_per_iter: float\n        The sparsity of the model that the pruner try to prune in each iteration.\n    acc_drop_threshold : float\n        The hyperparameter used to quantifiy the sensitivity for each layer.\n    checkpoint_dir: str\n        The dir path to save the checkpoints during the pruning.\n    \"\"\"\n\n    def __init__(self, model, config_list, evaluator,\n                 finetuner=None, base_algo='l1', sparsity_proportion_calc=None,\n                 sparsity_per_iter=0.1, acc_drop_threshold=0.05, checkpoint_dir=None):\n\n        self.base_algo = base_algo\n        self.model = model\n        super(SensitivityPruner, self).__init__(model, config_list)\n        # unwrap the model\n        self._unwrap_model()\n        _logger.debug(str(self.model))\n        self.evaluator = evaluator\n        self.finetuner = finetuner\n        self.analyzer = SensitivityAnalysis(\n            self.model, self.evaluator, prune_type=base_algo, \\\n            early_stop_mode='dropped', early_stop_value=acc_drop_threshold)\n        # Get the original accuracy of the pretrained model\n        self.ori_acc = None\n        # Copy the original weights before pruning\n        self.ori_state_dict = copy.deepcopy(self.model.state_dict())\n        self.sensitivities = {}\n        # Save the weight count for each layer\n        self.weight_count = {}\n        self.weight_sum = 0\n        # Map the layer name to the layer module\n        self.named_module = {}\n\n        self.Pruner = PRUNER_DICT[self.base_algo]\n        # Count the total weight count of the model\n        for name, submodule in self.model.named_modules():\n            self.named_module[name] = submodule\n            if name in self.analyzer.target_layer:\n                # Currently, only count the weights in the conv layers\n                # else the fully connected layer (which contains\n                # the most weights) may make the pruner prune the\n                # model too hard\n                # if hasattr(submodule, 'weight'): # Count all the weights of the model\n                self.weight_count[name] = submodule.weight.data.numel()\n                self.weight_sum += self.weight_count[name]\n        # function to generate the sparsity proportion between the conv layers\n        if sparsity_proportion_calc is None:\n            self.sparsity_proportion_calc = self._max_prune_ratio\n        else:\n            self.sparsity_proportion_calc = sparsity_proportion_calc\n        # The ratio of remained weights is 1.0 at the begining\n        self.remained_ratio = 1.0\n        self.sparsity_per_iter = sparsity_per_iter\n        self.acc_drop_threshold = acc_drop_threshold\n        self.checkpoint_dir = checkpoint_dir\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.module\n            Model to be pruned\n        config_list : list\n            List on pruning configs\n        \"\"\"\n\n        if self.base_algo == 'level':\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                Optional('op_types'): [str],\n                Optional('op_names'): [str],\n            }], model, _logger)\n        elif self.base_algo in ['l1', 'l2', 'fpgm']:\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                'op_types': ['Conv2d'],\n                Optional('op_names'): [str]\n            }], model, _logger)\n\n        schema.validate(config_list)\n\n    def load_sensitivity(self, filepath):\n        \"\"\"\n        load the sensitivity results exported by the sensitivity analyzer\n        \"\"\"\n        assert os.path.exists(filepath)\n        with open(filepath, 'r') as csvf:\n            csv_r = csv.reader(csvf)\n            header = next(csv_r)\n            sparsities = [float(x) for x in header[1:]]\n            sensitivities = {}\n            for row in csv_r:\n                layername = row[0]\n                accuracies = [float(x) for x in row[1:]]\n                sensitivities[layername] = {}\n                for i, accuracy in enumerate(accuracies):\n                    sensitivities[layername][sparsities[i]] = accuracy\n            return sensitivities\n\n    def _max_prune_ratio(self, ori_acc, threshold, sensitivities):\n        \"\"\"\n        Find the maximum prune ratio for a single layer whose accuracy\n        drop is lower than the threshold.\n\n        Parameters\n        ----------\n        ori_acc: float\n            Original accuracy\n        threshold: float\n            Accuracy drop threshold\n        sensitivities: dict\n            The dict object that stores the sensitivity results for each layer.\n            For example: {'conv1' : {0.1: 0.9, 0.2 : 0.8}}\n        Returns\n        -------\n        max_ratios: dict\n            return the maximum prune ratio for each layer. For example:\n            {'conv1':0.1, 'conv2':0.2}\n        \"\"\"\n        max_ratio = {}\n        for layer in sensitivities:\n            prune_ratios = sorted(sensitivities[layer].keys())\n            last_ratio = 0\n            for ratio in prune_ratios:\n                last_ratio = ratio\n                cur_acc = sensitivities[layer][ratio]\n                if cur_acc + threshold < ori_acc:\n                    break\n            max_ratio[layer] = last_ratio\n        return max_ratio\n\n    def normalize(self, ratios, target_pruned):\n        \"\"\"\n        Normalize the prune ratio of each layer according to the\n        total already pruned ratio and the final target total pruning\n        ratio\n\n        Parameters\n        ----------\n            ratios:\n                Dict object that save the prune ratio for each layer\n            target_pruned:\n                The amount of the weights expected to be pruned in this\n                iteration\n\n        Returns\n        -------\n            new_ratios:\n                return the normalized prune ratios for each layer.\n\n        \"\"\"\n        w_sum = 0\n        _Max = 0\n        for layername, ratio in ratios.items():\n            wcount = self.weight_count[layername]\n            w_sum += ratio * wcount * \\\n                (1-self.analyzer.already_pruned[layername])\n        target_count = self.weight_sum * target_pruned\n        for layername in ratios:\n            ratios[layername] = ratios[layername] * target_count / w_sum\n            _Max = max(_Max, ratios[layername])\n        # Cannot Prune too much in a single iteration\n        # If a layer's prune ratio is larger than the\n        # MAX_PRUNE_RATIO_PER_ITER we rescal all prune\n        # ratios under this threshold\n        if _Max > MAX_PRUNE_RATIO_PER_ITER:\n\n            for layername in ratios:\n                ratios[layername] = ratios[layername] * \\\n                    MAX_PRUNE_RATIO_PER_ITER / _Max\n        return ratios\n\n    def create_cfg(self, ratios):\n        \"\"\"\n        Generate the cfg_list for the pruner according to the prune ratios.\n\n        Parameters\n        ---------\n            ratios:\n                For example: {'conv1' : 0.2}\n\n        Returns\n        -------\n            cfg_list:\n                For example: [{'sparsity':0.2, 'op_names':['conv1'], 'op_types':['Conv2d']}]\n        \"\"\"\n        cfg_list = []\n        for layername in ratios:\n            prune_ratio = ratios[layername]\n            remain = 1 - self.analyzer.already_pruned[layername]\n            sparsity = remain * prune_ratio + \\\n                self.analyzer.already_pruned[layername]\n            if sparsity > 0:\n                # Pruner does not allow the prune ratio to be zero\n                cfg = {'sparsity': sparsity, 'op_names': [\n                    layername], 'op_types': ['Conv2d']}\n                cfg_list.append(cfg)\n        return cfg_list\n\n    def current_sparsity(self):\n        \"\"\"\n        The sparsity of the weight.\n        \"\"\"\n        pruned_weight = 0\n        for layer_name in self.analyzer.already_pruned:\n            w_count = self.weight_count[layer_name]\n            prune_ratio = self.analyzer.already_pruned[layer_name]\n            pruned_weight += w_count * prune_ratio\n        return pruned_weight / self.weight_sum\n\n    def compress(self, eval_args=None, eval_kwargs=None,\n                 finetune_args=None, finetune_kwargs=None, resume_sensitivity=None):\n        \"\"\"\n        This function iteratively prune the model according to the results of\n        the sensitivity analysis.\n\n        Parameters\n        ----------\n        eval_args: list\n        eval_kwargs: list& dict\n            Parameters for the val_funtion, the val_function will be called like\n            evaluator(*eval_args, **eval_kwargs)\n        finetune_args: list\n        finetune_kwargs: dict\n            Parameters for the finetuner function if needed.\n        resume_sensitivity:\n            resume the sensitivity results from this file.\n        \"\"\"\n        # pylint suggest not use the empty list and dict\n        # as the default input parameter\n        if not eval_args:\n            eval_args = []\n        if not eval_kwargs:\n            eval_kwargs = {}\n        if not finetune_args:\n            finetune_args = []\n        if not finetune_kwargs:\n            finetune_kwargs = {}\n        if self.ori_acc is None:\n            self.ori_acc = self.evaluator(*eval_args, **eval_kwargs)\n        assert isinstance(self.ori_acc, float) or isinstance(self.ori_acc, int)\n        if not resume_sensitivity:\n            self.sensitivities = self.analyzer.analysis(\n                val_args=eval_args, val_kwargs=eval_kwargs)\n        else:\n            self.sensitivities = self.load_sensitivity(resume_sensitivity)\n            self.analyzer.sensitivities = self.sensitivities\n        # the final target sparsity of the model\n        target_ratio = 1 - self.config_list[0]['sparsity']\n        cur_ratio = self.remained_ratio\n        ori_acc = self.ori_acc\n        iteration_count = 0\n        if self.checkpoint_dir is not None:\n            os.makedirs(self.checkpoint_dir, exist_ok=True)\n        modules_wrapper_final = None\n        while cur_ratio > target_ratio:\n            iteration_count += 1\n            # Each round have three steps:\n            # 1) Get the current sensitivity for each layer(the sensitivity\n            # of each layer may change during the pruning)\n            # 2) Prune each layer according the sensitivies\n            # 3) finetune the model\n            _logger.info('Current base accuracy %f', ori_acc)\n            _logger.info('Remained %f weights', cur_ratio)\n            # determine the sparsity proportion between different\n            # layers according to the sensitivity result\n            proportion = self.sparsity_proportion_calc(\n                ori_acc, self.acc_drop_threshold, self.sensitivities)\n\n            new_pruneratio = self.normalize(proportion, self.sparsity_per_iter)\n            cfg_list = self.create_cfg(new_pruneratio)\n            if not cfg_list:\n                _logger.error('The threshold is too small, please set a larger threshold')\n                return self.model\n            _logger.debug('Pruner Config: %s', str(cfg_list))\n            cfg_str = ['%s:%.3f'%(cfg['op_names'][0], cfg['sparsity']) for cfg in cfg_list]\n            _logger.info('Current Sparsities: %s', ','.join(cfg_str))\n\n            pruner = self.Pruner(self.model, cfg_list)\n            pruner.compress()\n            pruned_acc = self.evaluator(*eval_args, **eval_kwargs)\n            _logger.info('Accuracy after pruning: %f', pruned_acc)\n            finetune_acc = pruned_acc\n            if self.finetuner is not None:\n                # if the finetune function is None, then skip the finetune\n                self.finetuner(*finetune_args, **finetune_kwargs)\n                finetune_acc = self.evaluator(*eval_args, **eval_kwargs)\n            _logger.info('Accuracy after finetune: %f', finetune_acc)\n            ori_acc = finetune_acc\n            # unwrap the pruner\n            pruner._unwrap_model()\n            # update the already prune ratio of each layer befor the new\n            # sensitivity analysis\n            for layer_cfg in cfg_list:\n                name = layer_cfg['op_names'][0]\n                sparsity = layer_cfg['sparsity']\n                self.analyzer.already_pruned[name] = sparsity\n            # update the cur_ratio\n            cur_ratio = 1 - self.current_sparsity()\n            modules_wrapper_final = pruner.get_modules_wrapper()\n            del pruner\n            _logger.info('Currently remained weights: %f', cur_ratio)\n\n            if self.checkpoint_dir is not None:\n                checkpoint_name = 'Iter_%d_finetune_acc_%.5f_sparsity_%.4f' % (\n                    iteration_count, finetune_acc, cur_ratio)\n                checkpoint_path = os.path.join(\n                    self.checkpoint_dir, '%s.pth' % checkpoint_name)\n                cfg_path = os.path.join(\n                    self.checkpoint_dir, '%s_pruner.json' % checkpoint_name)\n                sensitivity_path = os.path.join(\n                    self.checkpoint_dir, '%s_sensitivity.csv' % checkpoint_name)\n                torch.save(self.model.state_dict(), checkpoint_path)\n                with open(cfg_path, 'w') as jf:\n                    json.dump(cfg_list, jf)\n                self.analyzer.export(sensitivity_path)\n\n            if cur_ratio > target_ratio:\n                # If this is the last prune iteration, skip the time-consuming\n                # sensitivity analysis\n\n                self.analyzer.load_state_dict(self.model.state_dict())\n                self.sensitivities = self.analyzer.analysis(\n                    val_args=eval_args, val_kwargs=eval_kwargs)\n\n        _logger.info('After Pruning: %.2f weights remains', cur_ratio)\n        self.modules_wrapper = modules_wrapper_final\n\n        self._wrap_model()\n        return self.model\n\n    def calc_mask(self, wrapper, **kwargs):\n        return None\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/simulated_annealing_pruner.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport logging\nimport os\nimport math\nimport copy\nimport csv\nimport json\nimport numpy as np\nfrom schema import And, Optional\n\nfrom ..torch_utils import OptimizeMode\n\nfrom ..compressor import Pruner\nfrom ..utils.config_validation import CompressorSchema\nfrom .constants_pruner import PRUNER_DICT\n\n\n_logger = logging.getLogger(__name__)\n\n\nclass SimulatedAnnealingPruner(Pruner):\n    \"\"\"\n    A Pytorch implementation of Simulated Annealing compression algorithm.\n\n    Parameters\n    ----------\n    model : pytorch model\n        The model to be pruned.\n    config_list : list\n        Supported keys:\n            - sparsity : The target overall sparsity.\n            - op_types : The operation type to prune.\n    evaluator : function\n        Function to evaluate the pruned model.\n        This function should include `model` as the only parameter, and returns a scalar value.\n        Example::\n\n            def evaluator(model):\n                device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n                val_loader = ...\n                model.eval()\n                correct = 0\n                with torch.no_grad():\n                    for data, target in val_loader:\n                        data, target = data.to(device), target.to(device)\n                        output = model(data)\n                        # get the index of the max log-probability\n                        pred = output.argmax(dim=1, keepdim=True)\n                        correct += pred.eq(target.view_as(pred)).sum().item()\n                accuracy = correct / len(val_loader.dataset)\n                return accuracy\n    optimize_mode : str\n        Optimize mode, `maximize` or `minimize`, by default `maximize`.\n    base_algo : str\n        Base pruning algorithm. `level`, `l1`, `l2` or `fpgm`, by default `l1`. Given the sparsity distribution among the ops,\n        the assigned `base_algo` is used to decide which filters/channels/weights to prune.\n    start_temperature : float\n        Start temperature of the simulated annealing process.\n    stop_temperature : float\n        Stop temperature of the simulated annealing process.\n    cool_down_rate : float\n        Cool down rate of the temperature.\n    perturbation_magnitude : float\n        Initial perturbation magnitude to the sparsities. The magnitude decreases with current temperature.\n    experiment_data_dir : string\n        PATH to save experiment data,\n        including the config_list generated for the base pruning algorithm, the performance of the pruned model and the pruning history.\n\n    \"\"\"\n\n    def __init__(self, model, config_list, evaluator, optimize_mode='maximize', base_algo='l1',\n                 start_temperature=100, stop_temperature=20, cool_down_rate=0.9, perturbation_magnitude=0.35, experiment_data_dir='./'):\n        # original model\n        self._model_to_prune = copy.deepcopy(model)\n        self._base_algo = base_algo\n\n        super().__init__(model, config_list)\n\n        self._evaluator = evaluator\n        self._optimize_mode = OptimizeMode(optimize_mode)\n\n        # hyper parameters for SA algorithm\n        self._start_temperature = start_temperature\n        self._current_temperature = start_temperature\n        self._stop_temperature = stop_temperature\n        self._cool_down_rate = cool_down_rate\n        self._perturbation_magnitude = perturbation_magnitude\n\n        # overall pruning rate\n        self._sparsity = config_list[0]['sparsity']\n        # pruning rates of the layers\n        self._sparsities = None\n\n        # init current performance & best performance\n        self._current_performance = -np.inf\n        self._best_performance = -np.inf\n        self._best_config_list = []\n\n        self._search_history = []\n\n        self._experiment_data_dir = experiment_data_dir\n        if not os.path.exists(self._experiment_data_dir):\n            os.makedirs(self._experiment_data_dir)\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list\n            List on pruning configs\n        \"\"\"\n\n        if self._base_algo == 'level':\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                Optional('op_types'): [str],\n                Optional('op_names'): [str],\n            }], model, _logger)\n        elif self._base_algo in ['l1', 'l2', 'fpgm']:\n            schema = CompressorSchema([{\n                'sparsity': And(float, lambda n: 0 < n < 1),\n                'op_types': ['Conv2d'],\n                Optional('op_names'): [str]\n            }], model, _logger)\n\n        schema.validate(config_list)\n\n    def _sparsities_2_config_list(self, sparsities):\n        '''\n        convert sparsities vector into config_list for LevelPruner or L1FilterPruner\n\n        Parameters\n        ----------\n        sparsities : list\n            list of sparsities\n\n        Returns\n        -------\n        list of dict\n            config_list for LevelPruner or L1FilterPruner\n        '''\n        config_list = []\n\n        sparsities = sorted(sparsities)\n        self.modules_wrapper = sorted(\n            self.modules_wrapper, key=lambda wrapper: wrapper.module.weight.data.numel())\n\n        # a layer with more weights will have no less pruning rate\n        for idx, wrapper in enumerate(self.get_modules_wrapper()):\n            # L1Filter Pruner requires to specify op_types\n            if self._base_algo in ['l1', 'l2', 'fpgm']:\n                config_list.append(\n                    {'sparsity': sparsities[idx], 'op_types': ['Conv2d'], 'op_names': [wrapper.name]})\n            elif self._base_algo == 'level':\n                config_list.append(\n                    {'sparsity': sparsities[idx], 'op_names': [wrapper.name]})\n\n        config_list = [val for val in config_list if not math.isclose(val['sparsity'], 0, abs_tol=1e-6)]\n\n        return config_list\n\n    def _rescale_sparsities(self, sparsities, target_sparsity):\n        '''\n        Rescale the sparsities list to satisfy the target overall sparsity\n\n        Parameters\n        ----------\n        sparsities : list\n\n        target_sparsity : float\n            the target overall sparsity\n\n        Returns\n        -------\n        list\n            the rescaled sparsities\n        '''\n        num_weights = []\n        for wrapper in self.get_modules_wrapper():\n            num_weights.append(wrapper.module.weight.data.numel())\n\n        num_weights = sorted(num_weights)\n        sparsities = sorted(sparsities)\n\n        total_weights = 0\n        total_weights_pruned = 0\n\n        # calculate the scale\n        for idx, num_weight in enumerate(num_weights):\n            total_weights += num_weight\n            total_weights_pruned += int(num_weight*sparsities[idx])\n        if total_weights_pruned == 0:\n            return None\n        scale = target_sparsity / (total_weights_pruned/total_weights)\n\n        # rescale the sparsities\n        sparsities = np.asarray(sparsities)*scale\n\n        return sparsities\n\n    def _init_sparsities(self):\n        '''\n        Generate a sorted sparsities vector\n        '''\n        # repeatedly generate a distribution until satisfies the overall sparsity requirement\n        _logger.info('Gererating sparsities...')\n        while True:\n            sparsities = sorted(np.random.uniform(\n                0, 1, len(self.get_modules_wrapper())))\n\n            sparsities = self._rescale_sparsities(\n                sparsities, target_sparsity=self._sparsity)\n\n            if sparsities is not None and sparsities[0] >= 0 and sparsities[-1] < 1:\n                _logger.info('Initial sparsities generated : %s', sparsities)\n                self._sparsities = sparsities\n                break\n\n    def _generate_perturbations(self):\n        '''\n        Generate perturbation to the current sparsities distribution.\n\n        Returns:\n        --------\n        list\n            perturbated sparsities\n        '''\n        _logger.info(\"Gererating perturbations to the current sparsities...\")\n\n        # decrease magnitude with current temperature\n        magnitude = self._current_temperature / \\\n            self._start_temperature * self._perturbation_magnitude\n        _logger.info('current perturation magnitude:%s', magnitude)\n\n        while True:\n            perturbation = np.random.uniform(-magnitude, magnitude, len(self.get_modules_wrapper()))\n            sparsities = np.clip(0, self._sparsities + perturbation, None)\n            _logger.debug(\"sparsities before rescalling:%s\", sparsities)\n\n            sparsities = self._rescale_sparsities(sparsities, target_sparsity=self._sparsity)\n            _logger.debug(\"sparsities after rescalling:%s\", sparsities)\n\n            if sparsities is not None and sparsities[0] >= 0 and sparsities[-1] < 1:\n                _logger.info(\"Sparsities perturbated:%s\", sparsities)\n                return sparsities\n\n    def calc_mask(self, wrapper, **kwargs):\n        return None\n\n    def compress(self, return_config_list=False):\n        \"\"\"\n        Compress the model with Simulated Annealing.\n\n        Returns\n        -------\n        torch.nn.Module\n            model with specified modules compressed.\n        \"\"\"\n        _logger.info('Starting Simulated Annealing Compression...')\n\n        # initiaze a randomized action\n        pruning_iteration = 0\n        self._init_sparsities()\n\n        # stop condition\n        self._current_temperature = self._start_temperature\n        while self._current_temperature > self._stop_temperature:\n            _logger.info('Pruning iteration: %d', pruning_iteration)\n            _logger.info('Current temperature: %d, Stop temperature: %d',\n                         self._current_temperature, self._stop_temperature)\n            while True:\n                # generate perturbation\n                sparsities_perturbated = self._generate_perturbations()\n                config_list = self._sparsities_2_config_list(\n                    sparsities_perturbated)\n                _logger.info(\n                    \"config_list for Pruner generated: %s\", config_list)\n\n                # fast evaluation\n                pruner = PRUNER_DICT[self._base_algo](copy.deepcopy(self._model_to_prune), config_list)\n                model_masked = pruner.compress()\n                evaluation_result = self._evaluator(model_masked)\n\n                self._search_history.append(\n                    {'sparsity': self._sparsity, 'performance': evaluation_result, 'config_list': config_list})\n\n                if self._optimize_mode is OptimizeMode.Minimize:\n                    evaluation_result *= -1\n\n                # if better evaluation result, then accept the perturbation\n                if evaluation_result > self._current_performance:\n                    self._current_performance = evaluation_result\n                    self._sparsities = sparsities_perturbated\n\n                    # save best performance and best params\n                    if evaluation_result > self._best_performance:\n                        _logger.info('updating best model...')\n                        self._best_performance = evaluation_result\n                        self._best_config_list = config_list\n\n                        # save the overall best masked model\n                        self.bound_model = model_masked\n                        # the ops with sparsity 0 are not included in this modules_wrapper\n                        modules_wrapper_final = pruner.get_modules_wrapper()\n                    break\n                # if not, accept with probability e^(-deltaE/current_temperature)\n                else:\n                    delta_E = np.abs(evaluation_result -\n                                     self._current_performance)\n                    probability = math.exp(-1 * delta_E /\n                                           self._current_temperature)\n                    if np.random.uniform(0, 1) < probability:\n                        self._current_performance = evaluation_result\n                        self._sparsities = sparsities_perturbated\n                        break\n\n            # cool down\n            self._current_temperature *= self._cool_down_rate\n            pruning_iteration += 1\n\n        _logger.info('----------Compression finished--------------')\n        _logger.info('Best performance: %s', self._best_performance)\n        _logger.info('config_list found : %s',\n                     self._best_config_list)\n\n        # save search history\n        with open(os.path.join(self._experiment_data_dir, 'search_history.csv'), 'w') as csvfile:\n            writer = csv.DictWriter(csvfile, fieldnames=['sparsity', 'performance', 'config_list'])\n            writer.writeheader()\n            for item in self._search_history:\n                writer.writerow({'sparsity': item['sparsity'], 'performance': item['performance'], 'config_list': json.dumps(\n                    item['config_list'])})\n\n        # save best config found and best performance\n        if self._optimize_mode is OptimizeMode.Minimize:\n            self._best_performance *= -1\n        with open(os.path.join(self._experiment_data_dir, 'search_result.json'), 'w+') as jsonfile:\n            json.dump({\n                'performance': self._best_performance,\n                'config_list': json.dumps(self._best_config_list)\n            }, jsonfile)\n\n        _logger.info('search history and result saved to foler : %s',\n                     self._experiment_data_dir)\n\n        if return_config_list:\n            return self._best_config_list\n\n        # This should be done only at the final stage,\n        # because the modules_wrapper with all the ops are used during the annealing process\n        self.modules_wrapper = modules_wrapper_final\n\n        return self.bound_model\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/structured_pruning.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport logging\nimport math\nimport numpy as np\nimport torch\nfrom .weight_masker import WeightMasker\n\n__all__ = ['L1FilterPrunerMasker', 'L2FilterPrunerMasker', 'FPGMPrunerMasker',\n           'TaylorFOWeightFilterPrunerMasker', 'ActivationAPoZRankFilterPrunerMasker',\n           'ActivationMeanRankFilterPrunerMasker', 'SlimPrunerMasker', 'AMCWeightMasker']\n\nlogger = logging.getLogger('torch filter pruners')\n\n\nclass StructuredWeightMasker(WeightMasker):\n    \"\"\"\n    A structured pruning masker base class that prunes convolutional layer filters.\n\n    Parameters\n    ----------\n    model: nn.Module\n        model to be pruned\n    pruner: Pruner\n        A Pruner instance used to prune the model\n    preserve_round: int\n        after pruning, preserve filters/channels round to `preserve_round`, for example:\n        for a Conv2d layer, output channel is 32, sparsity is 0.2, if preserve_round is\n        1 (no preserve round), then there will be int(32 * 0.2) = 6 filters pruned, and\n        32 - 6 = 26 filters are preserved. If preserve_round is 4, preserved filters will\n        be round up to 28 (which can be divided by 4) and only 4 filters are pruned.\n\n    \"\"\"\n\n    def __init__(self, model, pruner, preserve_round=1, dependency_aware=False):\n        self.model = model\n        self.pruner = pruner\n        self.preserve_round = preserve_round\n        self.dependency_aware = dependency_aware\n\n    def calc_mask(self, sparsity, wrapper, wrapper_idx=None, **depen_kwargs):\n        \"\"\"\n        calculate the mask for `wrapper`.\n        Parameters\n        ----------\n        sparsity: float/list of float\n            The target sparsity of the wrapper. If we calculate the mask in\n            the normal way, then sparsity is a float number. In contrast, if\n            we calculate the mask in the dependency-aware way, sparsity is a\n            list of float numbers, each float number corressponds to a sparsity\n            of a layer.\n        wrapper: PrunerModuleWrapper/list of PrunerModuleWrappers\n            The wrapper of the target layer. If we calculate the mask in the normal\n            way, then `wrapper` is an instance of PrunerModuleWrapper, else `wrapper`\n            is a list of PrunerModuleWrapper.\n        wrapper_idx: int/list of int\n            The index of the wrapper.\n        depen_kwargs: dict\n            The kw_args for the dependency-aware mode.\n        \"\"\"\n        if not self.dependency_aware:\n            # calculate the mask in the normal way, each layer calculate its\n            # own mask separately\n            return self._normal_calc_mask(sparsity, wrapper, wrapper_idx)\n        else:\n            # if the dependency_aware switch is on, then calculate the mask\n            # in the dependency-aware way\n            return self._dependency_calc_mask(sparsity, wrapper, wrapper_idx, **depen_kwargs)\n\n    def _get_current_state(self, sparsity, wrapper, wrapper_idx=None):\n        \"\"\"\n        Some pruner may prune the layers in a iterative way. In each pruning iteration,\n        we may get the current state of this wrapper/layer, and continue to prune this layer\n        based on the current state. This function is to get the current pruning state of the\n        target wrapper/layer.\n        Parameters\n        ----------\n        sparsity: float\n            pruning ratio,  preserved weight ratio is `1 - sparsity`\n        wrapper: PrunerModuleWrapper\n            layer wrapper of this layer\n        wrapper_idx: int\n            index of this wrapper in pruner's all wrappers\n        Returns\n        -------\n        base_mask: dict\n            dict object that stores the mask of this wrapper in this iteration, if it is the\n            first iteration, then we create a new mask with all ones. If there is already a\n            mask in this wrapper, then we return the existing mask.\n        weight: tensor\n            the current weight of this layer\n        num_prune: int\n            how many filters we should prune\n        \"\"\"\n        msg = 'module type {} is not supported!'.format(wrapper.type)\n        assert wrapper.type == 'Conv2d', msg\n        weight = wrapper.module.weight.data\n        bias = None\n        if hasattr(wrapper.module, 'bias') and wrapper.module.bias is not None:\n            bias = wrapper.module.bias.data\n\n        if wrapper.weight_mask is None:\n            mask_weight = torch.ones(weight.size()).type_as(weight).detach()\n        else:\n            mask_weight = wrapper.weight_mask.clone()\n        if bias is not None:\n            if wrapper.bias_mask is None:\n                mask_bias = torch.ones(bias.size()).type_as(bias).detach()\n            else:\n                mask_bias = wrapper.bias_mask.clone()\n        else:\n            mask_bias = None\n        mask = {'weight_mask': mask_weight, 'bias_mask': mask_bias}\n\n        num_total = weight.size(0)\n        num_prune = int(num_total * sparsity)\n        if self.preserve_round > 1:\n            num_preserve = num_total - num_prune\n            num_preserve = int(\n                math.ceil(num_preserve * 1. / self.preserve_round) * self.preserve_round)\n            if num_preserve > num_total:\n                num_preserve = int(math.floor(\n                    num_total * 1. / self.preserve_round) * self.preserve_round)\n            num_prune = num_total - num_preserve\n        # weight*mask_weight: apply base mask for iterative pruning\n        return mask, weight * mask_weight, num_prune\n\n    def _normal_calc_mask(self, sparsity, wrapper, wrapper_idx=None):\n        \"\"\"\n        Calculate the mask of given layer.\n        Parameters\n        ----------\n        sparsity: float\n            pruning ratio,  preserved weight ratio is `1 - sparsity`\n        wrapper: PrunerModuleWrapper\n            layer wrapper of this layer\n        wrapper_idx: int\n            index of this wrapper in pruner's all wrappers\n        Returns\n        -------\n        dict\n            dictionary for storing masks, keys of the dict:\n            'weight_mask':  weight mask tensor\n            'bias_mask': bias mask tensor (optional)\n        \"\"\"\n        mask, weight, num_prune = self._get_current_state(\n            sparsity, wrapper, wrapper_idx)\n        num_total = weight.size(0)\n        if num_total < 2 or num_prune < 1:\n            return mask\n\n        return self.get_mask(mask, weight, num_prune, wrapper, wrapper_idx)\n\n    def _common_channel_to_prune(self, sparsities, wrappers, wrappers_idx, channel_dsets, groups):\n        \"\"\"\n        Calculate the common channels should be pruned by all the layers in this group.\n        This function is for filter pruning of Conv layers. if want to support the dependency-aware\n        mode for others ops, you need to inherit this class and overwrite `_common_channel_to_prune`.\n\n        Parameters\n        ----------\n        sparsities : list\n            List of float that specify the sparsity for each conv layer.\n        wrappers : list\n            List of wrappers\n        groups : list\n            The number of the filter groups of each layer.\n        wrappers_idx : list\n            The indexes of the wrappers\n        \"\"\"\n        # sparsity configs for each wrapper\n        # sparsities = [_w.config['sparsity'] for _w in wrappers]\n        # check the type of the input wrappers\n        for _w in wrappers:\n            msg = 'module type {} is not supported!'.format(_w.type)\n            assert _w.type == 'Conv2d', msg\n        # Among the dependent layers, the layer with smallest\n        # sparsity determines the final benefit of the speedup\n        # module. To better harvest the speed benefit, we need\n        # to ensure that these dependent layers have at least\n        # `min_sparsity` pruned channel are the same.\n        if len(channel_dsets) == len(wrappers):\n            # all the layers in the dependency sets are pruned\n            min_sparsity = min(sparsities)\n        else:\n            # not all the layers in the dependency set\n            # are pruned\n            min_sparsity = 0\n        # donnot prune the channels that we cannot harvest the speed from\n        sparsities = [min_sparsity] * len(sparsities)\n        # find the max number of the filter groups of the dependent\n        # layers. The group constraint of this dependency set is decided\n        # by the layer with the max groups.\n\n        # should use the least common multiple for all the groups\n        # the max_group is lower than the channel_count, because\n        # the number of the filter is always divisible by the number of the group\n        max_group = np.lcm.reduce(groups)\n        channel_count = wrappers[0].module.weight.data.size(0)\n        device = wrappers[0].module.weight.device\n        channel_sum = torch.zeros(channel_count).to(device)\n        for _w, _w_idx in zip(wrappers, wrappers_idx):\n            # calculate the L1/L2 sum for all channels\n            c_sum = self.get_channel_sum(_w, _w_idx)\n\n            if c_sum is None:\n                # if the channel sum cannot be calculated\n                # now, return None\n                return None\n            channel_sum += c_sum\n\n        # prune the same `min_sparsity` channels based on channel_sum\n        # for all the layers in the channel sparsity\n        target_pruned = int(channel_count * min_sparsity)\n        # pruned_per_group may be zero, for example dw conv\n        pruned_per_group = int(target_pruned / max_group)\n        group_step = int(channel_count / max_group)\n\n        channel_masks = []\n        for gid in range(max_group):\n            _start = gid * group_step\n            _end = (gid + 1) * group_step\n            if pruned_per_group > 0:\n                threshold = torch.topk(\n                    channel_sum[_start: _end], pruned_per_group, largest=False)[0].max()\n                group_mask = torch.gt(channel_sum[_start:_end], threshold)\n            else:\n                group_mask = torch.ones(group_step).to(device)\n            channel_masks.append(group_mask)\n        channel_masks = torch.cat(channel_masks, dim=0)\n        pruned_channel_index = (\n            channel_masks == False).nonzero().squeeze(1).tolist()\n        logger.info('Prune the %s channels for all dependent',\n                    ','.join([str(x) for x in pruned_channel_index]))\n        return channel_masks\n\n    def _dependency_calc_mask(self, sparsities, wrappers, wrappers_idx, channel_dsets, groups):\n        \"\"\"\n        Calculate the masks for the layers in the same dependency sets.\n        Similar to the traditional original calc_mask, _dependency_calc_mask\n        will prune the target layers based on the L1/L2 norm of the weights.\n        However, StructuredWeightMasker prunes the filter completely based on the\n        L1/L2 norm of each filter. In contrast, _dependency_calc_mask\n        will try to satisfy the channel/group dependency(see nni.compression.torch.\n        utils.shape_dependency for details). Specifically, _dependency_calc_mask\n        will try to prune the same channels for the layers that have channel dependency.\n        In addition, this mask calculator will also ensure that the number of filters\n        pruned in each group is the same(meet the group dependency).\n\n        Parameters\n        ----------\n        sparsities : list\n            List of float that specify the sparsity for each conv layer.\n        wrappers : list\n            List of wrappers\n        groups : list\n            The number of the filter groups of each layer.\n        wrappers_idx : list\n            The indexes of the wrappers\n        \"\"\"\n        channel_masks = self._common_channel_to_prune(\n            sparsities, wrappers, wrappers_idx, channel_dsets, groups)\n        # calculate the mask for each layer based on channel_masks, first\n        # every layer will prune the same channels masked in channel_masks.\n        # If the sparsity of a layers is larger than min_sparsity, then it\n        # will continue prune sparsity - min_sparsity channels to meet the sparsity\n        # config.\n        masks = {}\n        for _pos, _w in enumerate(wrappers):\n            _w_idx = wrappers_idx[_pos]\n            sparsity = sparsities[_pos]\n            name = _w.name\n\n            # _tmp_mask = self._normal_calc_mask(\n            #     sparsity, _w, _w_idx, channel_masks)\n            base_mask, current_weight, num_prune = self._get_current_state(\n                sparsity, _w, _w_idx)\n            num_total = current_weight.size(0)\n            if num_total < 2 or num_prune < 1:\n                masks[name] = base_mask\n                continue\n            _tmp_mask = self.get_mask(\n                base_mask, current_weight, num_prune, _w, _w_idx, channel_masks)\n\n            if _tmp_mask is None:\n                # if the mask calculation fails\n                return None\n            masks[name] = _tmp_mask\n        return masks\n\n    def get_mask(self, base_mask, weight, num_prune, wrapper, wrapper_idx, channel_masks=None):\n        \"\"\"\n        Calculate the mask of given layer.\n        Parameters\n        ----------\n        base_mask: dict\n            The basic mask with the same shape of weight, all item in the basic mask is 1.\n        weight: tensor\n            the module weight to be pruned\n        num_prune: int\n            Num of filters to prune\n        wrapper: PrunerModuleWrapper\n            layer wrapper of this layer\n        wrapper_idx: int\n            index of this wrapper in pruner's all wrappers\n        channel_masks: Tensor\n            If mask some channels for this layer in advance. In the dependency-aware\n            mode, before calculating the masks for each layer, we will calculate a common\n            mask for all the layers in the dependency set. For the pruners that doesnot\n            support dependency-aware mode, they can just ignore this parameter.\n        Returns\n        -------\n        dict\n            dictionary for storing masks\n        \"\"\"\n        raise NotImplementedError(\n            '{} get_mask is not implemented'.format(self.__class__.__name__))\n\n    def get_channel_sum(self, wrapper, wrapper_idx):\n        \"\"\"\n        Calculate the importance weight for each channel. If want to support the\n        dependency-aware mode for this one-shot pruner, this function must be\n        implemented.\n        Parameters\n        ----------\n        wrapper: PrunerModuleWrapper\n            layer wrapper of this layer\n        wrapper_idx: int\n            index of this wrapper in pruner's all wrappers\n        Returns\n        -------\n        tensor\n            Tensor that indicates the importance of each channel\n        \"\"\"\n        raise NotImplementedError(\n            '{} get_channel_sum is not implemented'.format(self.__class__.__name__))\n\n\nclass L1FilterPrunerMasker(StructuredWeightMasker):\n    \"\"\"\n    A structured pruning algorithm that prunes the filters of smallest magnitude\n    weights sum in the convolution layers to achieve a preset level of network sparsity.\n    Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet and Hans Peter Graf,\n    \"PRUNING FILTERS FOR EFFICIENT CONVNETS\", 2017 ICLR\n    https://arxiv.org/abs/1608.08710\n    \"\"\"\n\n    def get_mask(self, base_mask, weight, num_prune, wrapper, wrapper_idx, channel_masks=None):\n        # get the l1-norm sum for each filter\n        w_abs_structured = self.get_channel_sum(wrapper, wrapper_idx)\n        if channel_masks is not None:\n            # if we need to mask some channels in advance\n            w_abs_structured = w_abs_structured * channel_masks\n        threshold = torch.topk(w_abs_structured.view(-1),\n                               num_prune, largest=False)[0].max()\n        mask_weight = torch.gt(w_abs_structured, threshold)[\n            :, None, None, None].expand_as(weight).type_as(weight)\n        mask_bias = torch.gt(w_abs_structured, threshold).type_as(\n            weight).detach() if base_mask['bias_mask'] is not None else None\n\n        return {'weight_mask': mask_weight.detach(), 'bias_mask': mask_bias}\n\n    def get_channel_sum(self, wrapper, wrapper_idx):\n        weight = wrapper.module.weight.data\n        filters = weight.shape[0]\n        w_abs = weight.abs()\n        w_abs_structured = w_abs.view(filters, -1).sum(dim=1)\n        return w_abs_structured\n\n\nclass L2FilterPrunerMasker(StructuredWeightMasker):\n    \"\"\"\n    A structured pruning algorithm that prunes the filters with the\n    smallest L2 norm of the weights.\n    \"\"\"\n\n    def get_mask(self, base_mask, weight, num_prune, wrapper, wrapper_idx, channel_masks=None):\n        # get the l2-norm sum for each filter\n        w_l2_norm = self.get_channel_sum(wrapper, wrapper_idx)\n        if channel_masks is not None:\n            # if we need to mask some channels in advance\n            w_l2_norm = w_l2_norm * channel_masks\n        threshold = torch.topk(\n            w_l2_norm.view(-1), num_prune, largest=False)[0].max()\n        mask_weight = torch.gt(w_l2_norm, threshold)[\n            :, None, None, None].expand_as(weight).type_as(weight)\n        mask_bias = torch.gt(w_l2_norm, threshold).type_as(\n            weight).detach() if base_mask['bias_mask'] is not None else None\n\n        return {'weight_mask': mask_weight.detach(), 'bias_mask': mask_bias}\n\n    def get_channel_sum(self, wrapper, wrapper_idx):\n        weight = wrapper.module.weight.data\n        filters = weight.shape[0]\n        w = weight.view(filters, -1)\n        w_l2_norm = torch.sqrt((w ** 2).sum(dim=1))\n        return w_l2_norm\n\n\nclass FPGMPrunerMasker(StructuredWeightMasker):\n    \"\"\"\n    A filter pruner via geometric median.\n    \"Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration\",\n    https://arxiv.org/pdf/1811.00250.pdf\n    \"\"\"\n\n    def get_mask(self, base_mask, weight, num_prune, wrapper, wrapper_idx, channel_masks=None):\n        min_gm_idx = self._get_min_gm_kernel_idx(\n            num_prune, wrapper, wrapper_idx, channel_masks)\n        for idx in min_gm_idx:\n            base_mask['weight_mask'][idx] = 0.\n            if base_mask['bias_mask'] is not None:\n                base_mask['bias_mask'][idx] = 0.\n        return base_mask\n\n    def _get_min_gm_kernel_idx(self, num_prune, wrapper, wrapper_idx, channel_masks):\n        channel_dist = self.get_channel_sum(wrapper, wrapper_idx)\n        if channel_masks is not None:\n            channel_dist = channel_dist * channel_masks\n        dist_list = [(channel_dist[i], i)\n                     for i in range(channel_dist.size(0))]\n        min_gm_kernels = sorted(dist_list, key=lambda x: x[0])[:num_prune]\n        return [x[1] for x in min_gm_kernels]\n\n    def _get_distance_sum(self, weight, out_idx):\n        \"\"\"\n        Calculate the total distance between a specified filter (by out_idex and in_idx) and\n        all other filters.\n        Parameters\n        ----------\n        weight: Tensor\n            convolutional filter weight\n        out_idx: int\n            output channel index of specified filter, this method calculates the total distance\n            between this specified filter and all other filters.\n        Returns\n        -------\n        float32\n            The total distance\n        \"\"\"\n        logger.debug('weight size: %s', weight.size())\n        assert len(weight.size()) in [3, 4], 'unsupported weight shape'\n\n        w = weight.view(weight.size(0), -1)\n        anchor_w = w[out_idx].unsqueeze(0).expand(w.size(0), w.size(1))\n        x = w - anchor_w\n        x = (x * x).sum(-1)\n        x = torch.sqrt(x)\n        return x.sum()\n\n    def get_channel_sum(self, wrapper, wrapper_idx):\n        weight = wrapper.module.weight.data\n        assert len(weight.size()) in [3, 4]\n        dist_list = []\n        for out_i in range(weight.size(0)):\n            dist_sum = self._get_distance_sum(weight, out_i)\n            dist_list.append(dist_sum)\n        return torch.Tensor(dist_list).to(weight.device)\n\n\nclass TaylorFOWeightFilterPrunerMasker(StructuredWeightMasker):\n    \"\"\"\n    A structured pruning algorithm that prunes the filters with the smallest\n    importance approximations based on the first order taylor expansion on the weight.\n    Molchanov, Pavlo and Mallya, Arun and Tyree, Stephen and Frosio, Iuri and Kautz, Jan,\n    \"Importance Estimation for Neural Network Pruning\", CVPR 2019.\n    http://jankautz.com/publications/Importance4NNPruning_CVPR19.pdf\n    \"\"\"\n\n    def __init__(self, model, pruner, statistics_batch_num=1):\n        super().__init__(model, pruner)\n        self.pruner.statistics_batch_num = statistics_batch_num\n        self.pruner.set_wrappers_attribute(\"contribution\", None)\n        self.pruner.iterations = 0\n        self.pruner.patch_optimizer(self.calc_contributions)\n\n    def get_mask(self, base_mask, weight, num_prune, wrapper, wrapper_idx, channel_masks=None):\n        channel_contribution = self.get_channel_sum(wrapper, wrapper_idx)\n        if channel_contribution is None:\n            # iteration is not enough\n            return None\n        if channel_masks is not None:\n            channel_contribution = channel_contribution * channel_masks\n        prune_indices = torch.argsort(channel_contribution)[:num_prune]\n        for idx in prune_indices:\n            base_mask['weight_mask'][idx] = 0.\n            if base_mask['bias_mask'] is not None:\n                base_mask['bias_mask'][idx] = 0.\n        return base_mask\n\n    def calc_contributions(self):\n        \"\"\"\n        Calculate the estimated importance of filters as a sum of individual contribution\n        based on the first order taylor expansion.\n        \"\"\"\n        if self.pruner.iterations >= self.pruner.statistics_batch_num:\n            return\n        for wrapper in self.pruner.get_modules_wrapper():\n            filters = wrapper.module.weight.size(0)\n            contribution = (\n                wrapper.module.weight*wrapper.module.weight.grad).data.pow(2).view(filters, -1).sum(dim=1)\n            if wrapper.contribution is None:\n                wrapper.contribution = contribution\n            else:\n                wrapper.contribution += contribution\n\n        self.pruner.iterations += 1\n\n    def get_channel_sum(self, wrapper, wrapper_idx):\n        if self.pruner.iterations < self.pruner.statistics_batch_num:\n            return None\n        if wrapper.contribution is None:\n            return None\n        return wrapper.contribution\n\n\nclass ActivationFilterPrunerMasker(StructuredWeightMasker):\n    def __init__(self, model, pruner, statistics_batch_num=1, activation='relu'):\n        super().__init__(model, pruner)\n        self.statistics_batch_num = statistics_batch_num\n        self.pruner.hook_id = self._add_activation_collector(self.pruner)\n\n        assert activation in ['relu', 'relu6']\n        if activation == 'relu':\n            self.pruner.activation = torch.nn.functional.relu\n        elif activation == 'relu6':\n            self.pruner.activation = torch.nn.functional.relu6\n        else:\n            self.pruner.activation = None\n\n    def _add_activation_collector(self, pruner):\n        def collector(collected_activation):\n            def hook(module_, input_, output):\n                collected_activation.append(\n                    pruner.activation(output.detach().cpu()))\n            return hook\n        pruner.collected_activation = {}\n        pruner._fwd_hook_id += 1\n        pruner._fwd_hook_handles[pruner._fwd_hook_id] = []\n\n        for wrapper_idx, wrapper in enumerate(pruner.get_modules_wrapper()):\n            pruner.collected_activation[wrapper_idx] = []\n            handle = wrapper.register_forward_hook(\n                collector(pruner.collected_activation[wrapper_idx]))\n\n            pruner._fwd_hook_handles[pruner._fwd_hook_id].append(handle)\n        return pruner._fwd_hook_id\n\n\nclass ActivationAPoZRankFilterPrunerMasker(ActivationFilterPrunerMasker):\n    \"\"\"\n    A structured pruning algorithm that prunes the filters with the\n    smallest APoZ(average percentage of zeros) of output activations.\n    Hengyuan Hu, Rui Peng, Yu-Wing Tai and Chi-Keung Tang,\n    \"Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures\", ICLR 2016.\n    https://arxiv.org/abs/1607.03250\n    \"\"\"\n\n    def get_mask(self, base_mask, weight, num_prune, wrapper, wrapper_idx, channel_masks=None):\n        apoz = self.get_channel_sum(wrapper, wrapper_idx)\n        if apoz is None:\n            # the collected activations are not enough\n            return None\n        if channel_masks is not None:\n            apoz = apoz * channel_masks\n\n        prune_indices = torch.argsort(apoz)[:num_prune]\n        for idx in prune_indices:\n            base_mask['weight_mask'][idx] = 0.\n            if base_mask['bias_mask'] is not None:\n                base_mask['bias_mask'][idx] = 0.\n\n        if self.pruner.hook_id in self.pruner._fwd_hook_handles:\n            self.pruner.remove_activation_collector(self.pruner.hook_id)\n\n        return base_mask\n\n    def _calc_apoz(self, activations):\n        \"\"\"\n        Calculate APoZ(average percentage of zeros) of activations.\n\n        Parameters\n        ----------\n        activations : list\n            Layer's output activations\n\n        Returns\n        -------\n        torch.Tensor\n            Filter's APoZ(average percentage of zeros) of the activations\n        \"\"\"\n        activations = torch.cat(activations, 0)\n        _eq_zero = torch.eq(activations, torch.zeros_like(activations))\n        _apoz = torch.sum(_eq_zero, dim=(0, 2, 3), dtype=torch.float64) / \\\n            torch.numel(_eq_zero[:, 0, :, :])\n        return torch.ones_like(_apoz) - _apoz\n\n    def get_channel_sum(self, wrapper, wrapper_idx):\n        assert wrapper_idx is not None\n        activations = self.pruner.collected_activation[wrapper_idx]\n        if len(activations) < self.statistics_batch_num:\n            # collected activations is not enough\n            return None\n        return self._calc_apoz(activations).to(wrapper.module.weight.device)\n\n\nclass ActivationMeanRankFilterPrunerMasker(ActivationFilterPrunerMasker):\n    \"\"\"\n    A structured pruning algorithm that prunes the filters with the\n    smallest mean value of output activations.\n    Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila and Jan Kautz,\n    \"Pruning Convolutional Neural Networks for Resource Efficient Inference\", ICLR 2017.\n    https://arxiv.org/abs/1611.06440\n    \"\"\"\n\n    def get_mask(self, base_mask, weight, num_prune, wrapper, wrapper_idx, channel_masks=None):\n\n        mean_activation = self.get_channel_sum(wrapper, wrapper_idx)\n        if mean_activation is None:\n            # the collected activation is not enough\n            return None\n        if channel_masks is not None:\n            mean_activation = mean_activation * channel_masks\n\n        prune_indices = torch.argsort(mean_activation)[:num_prune]\n        for idx in prune_indices:\n            base_mask['weight_mask'][idx] = 0.\n            if base_mask['bias_mask'] is not None:\n                base_mask['bias_mask'][idx] = 0.\n        # if len(activations) < self.statistics_batch_num, the code\n        # cannot reach here\n        if self.pruner.hook_id in self.pruner._fwd_hook_handles:\n            self.pruner.remove_activation_collector(self.pruner.hook_id)\n\n        return base_mask\n\n    def _cal_mean_activation(self, activations):\n        \"\"\"\n        Calculate mean value of activations.\n\n        Parameters\n        ----------\n        activations : list\n            Layer's output activations\n\n        Returns\n        -------\n        torch.Tensor\n            Filter's mean value of the output activations\n        \"\"\"\n        activations = torch.cat(activations, 0)\n        mean_activation = torch.mean(activations, dim=(0, 2, 3))\n        return mean_activation\n\n    def get_channel_sum(self, wrapper, wrapper_idx):\n        assert wrapper_idx is not None\n        activations = self.pruner.collected_activation[wrapper_idx]\n        if len(activations) < self.statistics_batch_num:\n            return None\n        # the memory overhead here is acceptable, because only\n        # the mean_activation tensor returned by _cal_mean_activation\n        # is transfer to gpu.\n        return self._cal_mean_activation(activations).to(wrapper.module.weight.device)\n\n\nclass SlimPrunerMasker(WeightMasker):\n    \"\"\"\n    A structured pruning algorithm that prunes channels by pruning the weights of BN layers.\n    Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan and Changshui Zhang\n    \"Learning Efficient Convolutional Networks through Network Slimming\", 2017 ICCV\n    https://arxiv.org/pdf/1708.06519.pdf\n    \"\"\"\n\n    def __init__(self, model, pruner, **kwargs):\n        super().__init__(model, pruner)\n        weight_list = []\n        for (layer, _) in pruner.get_modules_to_compress():\n            weight_list.append(layer.module.weight.data.abs().clone())\n        all_bn_weights = torch.cat(weight_list)\n        k = int(all_bn_weights.shape[0] * pruner.config_list[0]['sparsity'])\n        self.global_threshold = torch.topk(\n            all_bn_weights.view(-1), k, largest=False)[0].max()\n\n    def calc_mask(self, sparsity, wrapper, wrapper_idx=None):\n        assert wrapper.type == 'BatchNorm2d', 'SlimPruner only supports 2d batch normalization layer pruning'\n        weight = wrapper.module.weight.data.clone()\n        if wrapper.weight_mask is not None:\n            # apply base mask for iterative pruning\n            weight = weight * wrapper.weight_mask\n\n        base_mask = torch.ones(weight.size()).type_as(weight).detach()\n        mask = {'weight_mask': base_mask.detach(\n        ), 'bias_mask': base_mask.clone().detach()}\n        filters = weight.size(0)\n        num_prune = int(filters * sparsity)\n        if filters >= 2 and num_prune >= 1:\n            w_abs = weight.abs()\n            mask_weight = torch.gt(\n                w_abs, self.global_threshold).type_as(weight)\n            mask_bias = mask_weight.clone()\n            mask = {'weight_mask': mask_weight.detach(\n            ), 'bias_mask': mask_bias.detach()}\n        return mask\n\n\ndef least_square_sklearn(X, Y):\n    from sklearn.linear_model import LinearRegression\n    reg = LinearRegression(fit_intercept=False)\n    reg.fit(X, Y)\n    return reg.coef_\n\n\nclass AMCWeightMasker(WeightMasker):\n    \"\"\"\n    Weight maskser class for AMC pruner. Currently, AMCPruner only supports pruning kernel\n    size 1x1 pointwise Conv2d layer. Before using this class to prune kernels, AMCPruner\n    collected input and output feature maps for each layer, the features maps are flattened\n    and save into wrapper.input_feat and wrapper.output_feat.\n\n    Parameters\n    ----------\n    model: nn.Module\n        model to be pruned\n    pruner: Pruner\n        A Pruner instance used to prune the model\n    preserve_round: int\n        after pruning, preserve filters/channels round to `preserve_round`, for example:\n        for a Conv2d layer, output channel is 32, sparsity is 0.2, if preserve_round is\n        1 (no preserve round), then there will be int(32 * 0.2) = 6 filters pruned, and\n        32 - 6 = 26 filters are preserved. If preserve_round is 4, preserved filters will\n        be round up to 28 (which can be divided by 4) and only 4 filters are pruned.\n    \"\"\"\n\n    def __init__(self, model, pruner, preserve_round=1):\n        self.model = model\n        self.pruner = pruner\n        self.preserve_round = preserve_round\n\n    def calc_mask(self, sparsity, wrapper, wrapper_idx=None, preserve_idx=None):\n        \"\"\"\n        Calculate the mask of given layer.\n        Parameters\n        ----------\n        sparsity: float\n            pruning ratio,  preserved weight ratio is `1 - sparsity`\n        wrapper: PrunerModuleWrapper\n            layer wrapper of this layer\n        wrapper_idx: int\n            index of this wrapper in pruner's all wrappers\n        Returns\n        -------\n        dict\n            dictionary for storing masks, keys of the dict:\n            'weight_mask':  weight mask tensor\n            'bias_mask': bias mask tensor (optional)\n        \"\"\"\n        msg = 'module type {} is not supported!'.format(wrapper.type)\n        assert wrapper.type in ['Conv2d', 'Linear'], msg\n        weight = wrapper.module.weight.data\n        bias = None\n        if hasattr(wrapper.module, 'bias') and wrapper.module.bias is not None:\n            bias = wrapper.module.bias.data\n\n        if wrapper.weight_mask is None:\n            mask_weight = torch.ones(weight.size()).type_as(weight).detach()\n        else:\n            mask_weight = wrapper.weight_mask.clone()\n        if bias is not None:\n            if wrapper.bias_mask is None:\n                mask_bias = torch.ones(bias.size()).type_as(bias).detach()\n            else:\n                mask_bias = wrapper.bias_mask.clone()\n        else:\n            mask_bias = None\n        mask = {'weight_mask': mask_weight, 'bias_mask': mask_bias}\n\n        num_total = weight.size(1)\n        num_prune = int(num_total * sparsity)\n        if self.preserve_round > 1:\n            num_preserve = num_total - num_prune\n            num_preserve = int(\n                math.ceil(num_preserve * 1. / self.preserve_round) * self.preserve_round)\n            if num_preserve > num_total:\n                num_preserve = num_total\n            num_prune = num_total - num_preserve\n\n        if (num_total < 2 or num_prune < 1) and preserve_idx is None:\n            return mask\n\n        return self.get_mask(mask, weight, num_preserve, wrapper, wrapper_idx, preserve_idx)\n\n    def get_mask(self, base_mask, weight, num_preserve, wrapper, wrapper_idx, preserve_idx):\n        w = weight.data.cpu().numpy()\n        if wrapper.type == 'Linear':\n            w = w[:, :, None, None]\n\n        if preserve_idx is None:\n            importance = np.abs(w).sum((0, 2, 3))\n            # sum magnitude along C_in, sort descend\n            sorted_idx = np.argsort(-importance)\n            d_prime = num_preserve\n            preserve_idx = sorted_idx[:d_prime]  # to preserve index\n        else:\n            d_prime = len(preserve_idx)\n\n        assert len(preserve_idx) == d_prime\n        mask = np.zeros(w.shape[1], bool)\n        mask[preserve_idx] = True\n\n        # reconstruct, X, Y <= [N, C]\n        X, Y = wrapper.input_feat, wrapper.output_feat\n        masked_X = X[:, mask]\n        if w.shape[2] == 1:  # 1x1 conv or fc\n            rec_weight = least_square_sklearn(X=masked_X, Y=Y)\n            rec_weight = rec_weight.reshape(-1, 1, 1, d_prime)  # (C_out, K_h, K_w, C_in')\n            rec_weight = np.transpose(rec_weight, (0, 3, 1, 2))  # (C_out, C_in', K_h, K_w)\n\n            rec_weight_pad = np.zeros_like(w)\n            # pylint: disable=all\n            rec_weight_pad[:, mask, :, :] = rec_weight\n            rec_weight = rec_weight_pad\n\n            if wrapper.type == 'Linear':\n                rec_weight = rec_weight.squeeze()\n                assert len(rec_weight.shape) == 2\n\n            # now assign\n            wrapper.module.weight.data = torch.from_numpy(rec_weight).to(weight.device)\n\n        mask_weight = torch.zeros_like(weight)\n        if wrapper.type == 'Linear':\n            mask_weight[:, preserve_idx] = 1.\n            if base_mask['bias_mask'] is not None and wrapper.module.bias is not None:\n                mask_bias = torch.ones_like(wrapper.module.bias)\n        else:\n            mask_weight[:, preserve_idx, :, :] = 1.\n            mask_bias = None\n\n        return {'weight_mask': mask_weight.detach(), 'bias_mask': mask_bias}\n"
  },
  {
    "path": "src/aup/compression/torch/pruning/weight_masker.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nclass WeightMasker(object):\n    def __init__(self, model, pruner, **kwargs):\n        self.model = model\n        self.pruner = pruner\n\n    def calc_mask(self, sparsity, wrapper, wrapper_idx=None):\n        \"\"\"\n        Calculate the mask of given layer.\n        Parameters\n        ----------\n        sparsity: float\n            pruning ratio,  preserved weight ratio is `1 - sparsity`\n        wrapper: PrunerModuleWrapper\n            layer wrapper of this layer\n        wrapper_idx: int\n            index of this wrapper in pruner's all wrappers\n        Returns\n        -------\n        dict\n            dictionary for storing masks, keys of the dict:\n            'weight_mask':  weight mask tensor\n            'bias_mask': bias mask tensor (optional)\n        \"\"\"\n\n        raise NotImplementedError('{} calc_mask is not implemented'.format(self.__class__.__name__))\n"
  },
  {
    "path": "src/aup/compression/torch/quantization/__init__.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nfrom .quantizers import *\n"
  },
  {
    "path": "src/aup/compression/torch/quantization/quantizers.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport logging\nimport copy\nimport torch\nfrom schema import Schema, And, Or, Optional\nfrom ..utils.config_validation import CompressorSchema\nfrom ..compressor import Quantizer, QuantGrad, QuantType\n\n__all__ = ['NaiveQuantizer', 'QAT_Quantizer', 'DoReFaQuantizer', 'BNNQuantizer']\n\nlogger = logging.getLogger(__name__)\n\n\nclass NaiveQuantizer(Quantizer):\n    \"\"\"quantize weight to 8 bits\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        super().__init__(model, config_list, optimizer)\n        self.layer_scale = {}\n\n    def validate_config(self, model, config_list):\n        schema = CompressorSchema([{\n            Optional('quant_types'): ['weight'],\n            Optional('quant_bits'): Or(8, {'weight': 8}),\n            Optional('op_types'): [str],\n            Optional('op_names'): [str]\n        }], model, logger)\n\n        schema.validate(config_list)\n\n    def quantize_weight(self, wrapper, **kwargs):\n        weight = copy.deepcopy(wrapper.module.old_weight.data)\n        new_scale = weight.abs().max() / 127\n        scale = max(self.layer_scale.get(wrapper.name, 0), new_scale)\n        self.layer_scale[wrapper.name] = scale\n        orig_type = weight.type()  # TODO: user layer\n        weight = weight.div(scale).type(torch.int8).type(orig_type).mul(scale)\n        wrapper.module.weight = weight\n        return weight\n\ndef update_ema(biased_ema, value, decay):\n    \"\"\"\n    calculate biased stat and unbiased stat in each step using exponential moving average method\n\n    Parameters\n    ----------\n    biased_ema : float\n        previous stat value\n    value : float\n        current stat value\n    decay : float\n        the weight of previous stat value, larger means smoother curve\n\n    Returns\n    -------\n    float, float\n    \"\"\"\n    biased_ema = biased_ema * decay + (1 - decay) * value\n    return biased_ema \n\n\ndef update_quantization_param(bits, rmin, rmax):\n    \"\"\"\n    calculate the `zero_point` and `scale`.\n\n    Parameters\n    ----------\n    bits : int\n        quantization bits length\n    rmin : Tensor\n        min value of real value\n    rmax : Tensor\n        max value of real value\n\n    Returns\n    -------\n    float, float\n    \"\"\"\n    # extend the [min, max] interval to ensure that it contains 0.\n    # Otherwise, we would not meet the requirement that 0 be an exactly\n    # representable value.\n    rmin = torch.min(rmin, torch.Tensor([0]).to(rmin.device))\n    rmax = torch.max(rmax, torch.Tensor([0]).to(rmin.device))\n    qmin = torch.Tensor([0]).to(rmin.device)\n    qmax = torch.Tensor([(1 << bits) - 1]).to(rmin.device)\n\n    # First determine the scale.\n    scale = (rmax - rmin) / (qmax - qmin)\n\n    # Zero-point computation.\n    initial_zero_point = qmin - rmin / scale\n\n    # Now we need to nudge the zero point to be an integer\n    if initial_zero_point < qmin:\n        nudged_zero_point = qmin\n    elif initial_zero_point > qmax:\n        nudged_zero_point = qmax\n    else:\n        nudged_zero_point = torch.round(initial_zero_point)\n\n    return scale, nudged_zero_point\n\n\ndef get_bits_length(config, quant_type):\n    if isinstance(config[\"quant_bits\"], int):\n        return config[\"quant_bits\"]\n    else:\n        return config[\"quant_bits\"].get(quant_type)\n\n\nclass QATGrad(QuantGrad):\n    @staticmethod\n    def quant_backward(tensor, grad_output, quant_type, scale, zero_point, qmin, qmax):\n        tensor_q = QuantGrad._quantize(tensor, scale, zero_point)\n        mask = (tensor_q < qmin) | (tensor_q > qmax)\n        grad_output[mask] = 0\n        return grad_output\n\n\nclass QAT_Quantizer(Quantizer):\n    \"\"\"Quantizer defined in:\n    Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference\n    http://openaccess.thecvf.com/content_cvpr_2018/papers/Jacob_Quantization_and_Training_CVPR_2018_paper.pdf\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        \"\"\"\n        Parameters\n        ----------\n        layer : LayerInfo\n            the layer to quantize\n        config_list : list of dict\n            list of configurations for quantization\n            supported keys for dict:\n                - quant_types : list of string\n                    type of quantization you want to apply, currently support 'weight', 'input', 'output'\n                - quant_bits : int or dict of {str : int}\n                    bits length of quantization, key is the quantization type, value is the length, eg. {'weight', 8},\n                    when the type is int, all quantization types share same bits length\n                - quant_start_step : int\n                    disable quantization until model are run by certain number of steps, this allows the network to enter a more stable\n                    state where activation quantization ranges do not exclude a significant fraction of values, default value is 0\n                - op_types : list of string\n                    types of nn.module you want to apply quantization, eg. 'Conv2d'\n        \"\"\"\n        super().__init__(model, config_list, optimizer)\n        self.quant_grad = QATGrad\n        modules_to_compress = self.get_modules_to_compress()\n        self.bound_model.register_buffer(\"steps\", torch.Tensor([1]))\n        for layer, config in modules_to_compress:\n            layer.module.register_buffer(\"zero_point\", torch.Tensor([0.0]))\n            layer.module.register_buffer(\"scale\", torch.Tensor([1.0]))\n            if \"output\" in config.get(\"quant_types\", []):\n                layer.module.register_buffer('ema_decay', torch.Tensor([0.99]))\n                layer.module.register_buffer('tracked_min_biased', torch.zeros(1))\n                layer.module.register_buffer('tracked_min', torch.zeros(1))\n                layer.module.register_buffer('tracked_max_biased', torch.zeros(1))\n                layer.module.register_buffer('tracked_max', torch.zeros(1))\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list of dict\n            List of configurations\n        \"\"\"\n        schema = CompressorSchema([{\n            Optional('quant_types'): Schema([lambda x: x in ['weight', 'output']]),\n            Optional('quant_bits'): Or(And(int, lambda n: 0 < n < 32), Schema({\n                Optional('weight'): And(int, lambda n: 0 < n < 32),\n                Optional('output'): And(int, lambda n: 0 < n < 32),\n            })),\n            Optional('quant_start_step'): And(int, lambda n: n >= 0),\n            Optional('op_types'): [str],\n            Optional('op_names'): [str]\n        }], model, logger)\n\n        schema.validate(config_list)\n\n    def _quantize(self, bits, op, real_val):\n        \"\"\"\n        quantize real value.\n\n        Parameters\n        ----------\n        bits : int\n            quantization bits length\n        op : torch.nn.Module\n            target module\n        real_val : Tensor\n            real value to be quantized\n\n        Returns\n        -------\n        Tensor\n        \"\"\"\n        op.zero_point = op.zero_point.to(real_val.device)\n        op.scale = op.scale.to(real_val.device)\n        transformed_val = op.zero_point + real_val / op.scale\n        qmin = 0\n        qmax = (1 << bits) - 1\n        clamped_val = torch.clamp(transformed_val, qmin, qmax)\n        quantized_val = torch.round(clamped_val)\n        return quantized_val\n\n    def _dequantize(self, op, quantized_val):\n        \"\"\"\n        dequantize quantized value.\n        Because we simulate quantization in training process, all the computations still happen as float point computations, which means we\n        first quantize tensors then dequantize them. For more details, please refer to the paper.\n\n        Parameters\n        ----------\n        op : torch.nn.Module\n            target module\n        quantized_val : float\n            quantized_val value to be dequantized\n\n        Returns\n        -------\n        float\n        \"\"\"\n        real_val = op.scale * (quantized_val - op.zero_point)\n        return real_val\n\n    def quantize_weight(self, wrapper, **kwargs):\n        config = wrapper.config\n        module = wrapper.module\n        weight = copy.deepcopy(wrapper.module.old_weight.data)\n        weight_bits = get_bits_length(config, 'weight')\n        quant_start_step = config.get('quant_start_step', 0)\n        assert weight_bits >= 1, \"quant bits length should be at least 1\"\n\n        # we dont update weight in evaluation stage\n        if quant_start_step > self.bound_model.steps or not wrapper.training:\n            return weight\n\n        # if bias exists, quantize bias to uint32\n        if hasattr(wrapper.module, 'bias') and wrapper.module.bias is not None:\n            bias = wrapper.module.bias.data\n            bias_bits = 32\n            rmin, rmax = torch.min(bias), torch.max(bias)\n            module.scale, module.zero_point = update_quantization_param(bias_bits, rmin, rmax)\n            bias = self._quantize(bias_bits, module, bias)\n            bias = self._dequantize(module, bias)\n            wrapper.module.bias.data = bias\n\n\n        # quantize weight\n        rmin, rmax = torch.min(weight), torch.max(weight)\n        module.scale, module.zero_point = update_quantization_param(weight_bits, rmin, rmax)\n        weight = self._quantize(weight_bits, module, weight)\n        weight = self._dequantize(module, weight)\n        wrapper.module.weight = weight\n        return weight\n\n    def quantize_output(self, output, wrapper, **kwargs):\n        config = wrapper.config\n        module = wrapper.module\n        output_bits = get_bits_length(config, 'output')\n        quant_start_step = config.get('quant_start_step', 0)\n        assert output_bits >= 1, \"quant bits length should be at least 1\"\n\n        if quant_start_step > self.bound_model.steps:\n            module.tracked_min_biased, module.tracked_max_biased = torch.min(output), torch.max(output)\n            return output\n\n        # we dont update output quantization parameters in evaluation stage\n        if wrapper.training:\n            current_min, current_max = torch.min(output), torch.max(output)\n            module.tracked_min_biased = update_ema(module.tracked_min_biased, current_min,\n                                                                       module.ema_decay)\n            module.tracked_max_biased = update_ema(module.tracked_max_biased, current_max,\n                                                                       module.ema_decay)\n            module.scale, module.zero_point = update_quantization_param(output_bits, module.tracked_min_biased, module.tracked_max_biased)\n        out = self._quantize(output_bits, module, output)\n        out = self._dequantize(module, out)\n        return out\n\n    def fold_bn(self, config, **kwargs):\n        # TODO simulate folded weight\n        pass\n\n    def step_with_optimizer(self):\n        \"\"\"\n        override `compressor` `step` method, quantization only happens after certain number of steps\n        \"\"\"\n        self.bound_model.steps +=1\n\n\nclass DoReFaQuantizer(Quantizer):\n    \"\"\"Quantizer using the DoReFa scheme, as defined in:\n    Zhou et al., DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients\n    (https://arxiv.org/abs/1606.06160)\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        super().__init__(model, config_list, optimizer)\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list of dict\n            List of configurations\n        \"\"\"\n        schema = CompressorSchema([{\n            Optional('quant_types'): Schema([lambda x: x in ['weight']]),\n            Optional('quant_bits'): Or(And(int, lambda n: 0 < n < 32), Schema({\n                Optional('weight'): And(int, lambda n: 0 < n < 32)\n            })),\n            Optional('op_types'): [str],\n            Optional('op_names'): [str]\n        }], model, logger)\n\n        schema.validate(config_list)\n\n    def quantize_weight(self, wrapper, **kwargs):\n        weight = copy.deepcopy(wrapper.module.old_weight.data)\n        weight_bits = get_bits_length(wrapper.config, 'weight')\n        weight = weight.tanh()\n        weight = weight / (2 * weight.abs().max()) + 0.5\n        weight = self.quantize(weight, weight_bits)\n        weight = 2 * weight - 1\n        wrapper.module.weight = weight\n        # wrapper.module.weight.data = weight\n        return weight\n\n    def quantize(self, input_ri, q_bits):\n        scale = pow(2, q_bits) - 1\n        output = torch.round(input_ri * scale) / scale\n        return output\n\n\nclass ClipGrad(QuantGrad):\n    @staticmethod\n    def quant_backward(tensor, grad_output, quant_type, scale, zero_point, qmin, qmax):\n        if quant_type == QuantType.QUANT_OUTPUT:\n            grad_output[torch.abs(tensor) > 1] = 0\n        return grad_output\n\n\nclass BNNQuantizer(Quantizer):\n    \"\"\"Binarized Neural Networks, as defined in:\n    Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1\n    (https://arxiv.org/abs/1602.02830)\n    \"\"\"\n\n    def __init__(self, model, config_list, optimizer=None):\n        super().__init__(model, config_list, optimizer)\n        self.quant_grad = ClipGrad\n\n    def validate_config(self, model, config_list):\n        \"\"\"\n        Parameters\n        ----------\n        model : torch.nn.Module\n            Model to be pruned\n        config_list : list of dict\n            List of configurations\n        \"\"\"\n        schema = CompressorSchema([{\n            Optional('quant_types'): Schema([lambda x: x in ['weight', 'output']]),\n            Optional('quant_bits'): Or(And(int, lambda n: 0 < n < 32), Schema({\n                Optional('weight'): And(int, lambda n: 0 < n < 32),\n                Optional('output'): And(int, lambda n: 0 < n < 32),\n            })),\n            Optional('op_types'): [str],\n            Optional('op_names'): [str]\n        }], model, logger)\n\n        schema.validate(config_list)\n\n    def quantize_weight(self, wrapper, **kwargs):\n        weight = copy.deepcopy(wrapper.module.old_weight.data)\n        weight = torch.sign(weight)\n        # remove zeros\n        weight[weight == 0] = 1\n        wrapper.module.weight = weight\n        return weight\n\n    def quantize_output(self, output, wrapper, **kwargs):\n        out = torch.sign(output)\n        # remove zeros\n        out[out == 0] = 1\n        return out\n"
  },
  {
    "path": "src/aup/compression/torch/speedup/__init__.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nfrom .compressor import ModelSpeedup"
  },
  {
    "path": "src/aup/compression/torch/speedup/compress_modules.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport logging\nimport torch\nfrom .infer_shape import ModuleMasks\n\n_logger = logging.getLogger(__name__)\n\nreplace_module = {\n    'BatchNorm2d': lambda module, mask: replace_batchnorm2d(module, mask),\n    'Conv2d': lambda module, mask: replace_conv2d(module, mask),\n    'ConvTranspose2d': lambda module, mask: replace_convtranspose2d(module, mask),\n    'MaxPool2d': lambda module, mask: no_replace(module, mask),\n    'AvgPool2d': lambda module, mask: no_replace(module, mask),\n    'AdaptiveAvgPool2d': lambda module, mask: no_replace(module, mask),\n    'ReLU': lambda module, mask: no_replace(module, mask),\n    'ReLU6': lambda module, mask: no_replace(module, mask),\n    'Sigmoid': lambda module, mask: no_replace(module, mask),\n    'Linear': lambda module, mask: replace_linear(module, mask),\n    'Dropout': lambda module, mask: no_replace(module, mask),\n    'Dropout2d': lambda module, mask: no_replace(module, mask),\n    'Dropout3d': lambda module, mask: no_replace(module, mask)\n}\n\n\ndef no_replace(module, mask):\n    \"\"\"\n    No need to replace\n    \"\"\"\n    _logger.debug(\"no need to replace\")\n    return module\n\n\ndef replace_linear(linear, mask):\n    \"\"\"\n    Parameters\n    ----------\n    linear : torch.nn.Linear\n        The linear module to be replace\n    mask : ModuleMasks\n        The masks of this module\n\n    Returns\n    -------\n    torch.nn.Linear\n        The new linear module\n    \"\"\"\n    assert isinstance(mask, ModuleMasks)\n    assert mask.input_mask is not None\n    assert mask.output_mask is None\n    assert not mask.param_masks\n    index = mask.input_mask.mask_index[-1]\n    in_features = index.size()[0]\n    _logger.debug(\"replace linear with new in_features: %d\", in_features)\n    new_linear = torch.nn.Linear(in_features=in_features,\n                                 out_features=linear.out_features,\n                                 bias=linear.bias is not None)\n    new_linear.to(linear.weight.device)\n    new_linear.weight.data = torch.index_select(\n        linear.weight.data, -1, index.to(linear.weight.device))\n    if linear.bias is not None:\n        new_linear.bias.data.copy_(linear.bias.data)\n    return new_linear\n\n\ndef replace_batchnorm2d(norm, mask):\n    \"\"\"\n    Parameters\n    ----------\n    norm : torch.nn.BatchNorm2d\n        The batchnorm module to be replace\n    mask : ModuleMasks\n        The masks of this module\n\n    Returns\n    -------\n    torch.nn.BatchNorm2d\n        The new batchnorm module\n    \"\"\"\n    assert isinstance(mask, ModuleMasks)\n    assert 'weight' in mask.param_masks and 'bias' in mask.param_masks\n    index = mask.param_masks['weight'].mask_index[0]\n    num_features = index.size()[0]\n    _logger.debug(\"replace batchnorm2d with num_features: %d\", num_features)\n    new_norm = torch.nn.BatchNorm2d(num_features=num_features,\n                                    eps=norm.eps,\n                                    momentum=norm.momentum,\n                                    affine=norm.affine,\n                                    track_running_stats=norm.track_running_stats)\n    # assign weights\n    new_norm.weight.data = torch.index_select(norm.weight.data, 0, index)\n    new_norm.bias.data = torch.index_select(norm.bias.data, 0, index)\n    if norm.track_running_stats:\n        new_norm.running_mean.data = torch.index_select(\n            norm.running_mean.data, 0, index)\n        new_norm.running_var.data = torch.index_select(\n            norm.running_var.data, 0, index)\n    return new_norm\n\n\ndef replace_conv2d(conv, mask):\n    \"\"\"\n    Parameters\n    ----------\n    conv : torch.nn.Conv2d\n        The conv2d module to be replaced\n    mask : ModuleMasks\n        The masks of this module\n\n    Returns\n    -------\n    torch.nn.Conv2d\n        The new conv2d module\n    \"\"\"\n    assert isinstance(mask, ModuleMasks)\n    if mask.input_mask is None:\n        in_channels = conv.in_channels\n    else:\n        in_channels_index = mask.input_mask.mask_index[1]\n        in_channels = in_channels_index.size()[0]\n    if mask.output_mask is None:\n        out_channels = conv.out_channels\n    else:\n        out_channels_index = mask.output_mask.mask_index[1]\n        out_channels = out_channels_index.size()[0]\n    groups = conv.groups\n    if conv.in_channels == conv.out_channels == conv.groups:\n        # remove groups for depthwise layers\n        assert in_channels == out_channels\n        groups = in_channels\n    _logger.debug(\"replace conv2d %s with in_channels: %d, out_channels: %d\",\n                  mask.module_name, in_channels, out_channels)\n    new_conv = torch.nn.Conv2d(in_channels=in_channels,\n                               out_channels=out_channels,\n                               kernel_size=conv.kernel_size,\n                               stride=conv.stride,\n                               padding=conv.padding,\n                               dilation=conv.dilation,\n                               groups=groups,\n                               bias=conv.bias is not None,\n                               padding_mode=conv.padding_mode)\n\n    new_conv.to(conv.weight.device)\n    tmp_weight_data = tmp_bias_data = None\n\n    if mask.output_mask is not None:\n        tmp_weight_data = torch.index_select(\n            conv.weight.data, 0, out_channels_index)\n        if conv.bias is not None:\n            tmp_bias_data = torch.index_select(\n                conv.bias.data, 0, out_channels_index)\n    else:\n        tmp_weight_data = conv.weight.data\n    # For the convolutional layers that have more than one group\n    # we need to copy the weight group by group, because the input\n    # channal is also divided into serveral groups and each group\n    # filter may have different input channel indexes.\n    input_step = int(conv.in_channels / conv.groups)\n    in_channels_group = int(in_channels / groups)\n    filter_step = int(out_channels / groups)\n    if mask.input_mask is not None and not (in_channels == out_channels == groups):\n        for groupid in range(conv.groups):\n            start = groupid * input_step\n            end = (groupid + 1) * input_step\n            current_input_index = list(\n                filter(lambda x: start <= x and x < end, in_channels_index.tolist()))\n            if not current_input_index:\n                # there is no kept channel in current group\n                # TODO bug here, the groups is directly get from conv.groups, if the whole group is removed,\n                # then the number of groups in the new_conv also need to change\n                raise Exception(\n                    \" Donnot support removing the whole group filter except in the depth-wise conv temporarily\")\n            # shift the global index into the group index\n            current_input_index = [x-start for x in current_input_index]\n            # if the groups is larger than 1, the input channels of each\n            # group should be pruned evenly.\n            assert len(current_input_index) == in_channels_group, \\\n                'Input channels of each group are not pruned evenly'\n            current_input_index = torch.tensor(current_input_index).to(tmp_weight_data.device)  # pylint: disable=not-callable\n            f_start = groupid * filter_step\n            f_end = (groupid + 1) * filter_step\n            new_conv.weight.data[f_start:f_end] = torch.index_select(\n                tmp_weight_data[f_start:f_end], 1, current_input_index)\n    else:\n        new_conv.weight.data.copy_(tmp_weight_data)\n\n    if conv.bias is not None:\n        new_conv.bias.data.copy_(\n            conv.bias.data if tmp_bias_data is None else tmp_bias_data)\n\n    return new_conv\n\n\ndef replace_convtranspose2d(convtrans, mask):\n    \"\"\"\n    We need anothor replace function for\n    convtranspose2d, because the layout of\n    the weight is different from traditional\n    conv layers. The layout of the weight is [N_in, N_out, ksize_1, ksize_2]\n    Parameters\n    ----------\n    convtrans : torch.nn.ConvTranspose2d\n        The conv2d module to be replaced\n    mask : ModuleMasks\n        The masks of this module\n    Returns\n    -------\n    torch.nn.ConvTranspose2d\n        The new conv2d module\n    \"\"\"\n    assert isinstance(mask, ModuleMasks)\n    assert isinstance(convtrans, torch.nn.ConvTranspose2d)\n    if mask.input_mask is None:\n        in_channels = convtrans.in_channels\n    else:\n        in_channels_index = mask.input_mask.mask_index[1]\n        in_channels = in_channels_index.size(0)\n    if mask.output_mask is None:\n        out_channels = convtrans.out_channels\n    else:\n        out_channels_index = mask.output_mask.mask_index[1]\n        out_channels = out_channels_index.size(0)\n    groups = convtrans.groups\n    # check if can remove the whole group of filters\n    if convtrans.in_channels == convtrans.out_channels == convtrans.groups:\n        # remove groups for depthwise layers\n        # this needs the group dependency to be fixed before the speedup\n        assert in_channels == out_channels\n        groups = in_channels\n    _logger.debug('Replace convtranspose2d %s with in_channels:%d out_channels:%d',\n                  mask.module_name, in_channels, out_channels)\n    new_convtrans = torch.nn.ConvTranspose2d(in_channels=in_channels,\n                                             out_channels=out_channels,\n                                             kernel_size=convtrans.kernel_size,\n                                             stride=convtrans.stride,\n                                             padding=convtrans.padding,\n                                             dilation=convtrans.dilation,\n                                             groups=groups,\n                                             bias=convtrans.bias is not None,\n                                             padding_mode=convtrans.padding_mode)\n    new_convtrans.to(convtrans.weight.device)\n    tmp_weight_data = None\n    if mask.input_mask is not None:\n        # in convtranspose2d we need to select the input channel first\n        tmp_weight_data = torch.index_select(\n            convtrans.weight.data, 0, in_channels_index)\n    else:\n        tmp_weight_data = convtrans.weight.data\n    # we need to handle the output channel group by group like the conv layer\n    out_step = int(convtrans.out_channels / convtrans.groups)\n    out_channel_group = int(out_channels/groups)\n    new_in_per_group = int(in_channels/groups)\n\n    if mask.output_mask is not None and not(in_channels == out_channels == groups):\n        for groupid in range(convtrans.groups):\n            start = groupid * out_step\n            end = (groupid + 1) * out_step\n            current_output_index = list(\n                filter(lambda x: start <= x and x < end, out_channels_index.tolist()))\n            # we need to shift the index into the group-wise\n            current_output_index = [x-start for x in current_output_index]\n            if not current_output_index:\n                # No kept channel in the current group\n                raise Exception(\n                    \" Donnot support removing the whole group filter except in the depth-wise conv temporarily\")\n            assert len(current_output_index) == out_channel_group, \\\n                'Output channel of each group should be the same after pruning'\n            current_output_index = torch.tensor(current_output_index).to(tmp_weight_data.device) # pylint: disable=not-callable\n            new_start = groupid * new_in_per_group\n            new_end = (groupid + 1) * new_in_per_group\n            new_convtrans.weight.data[new_start:new_end] = torch.index_select(\n                tmp_weight_data[new_start:new_end], 1, current_output_index)\n    else:\n        new_convtrans.weight.data.copy_(tmp_weight_data)\n    if convtrans.bias is not None:\n        if mask.output_mask is not None:\n            new_convtrans.bias.data[:] = torch.index_select(\n                convtrans.bias.data, 0, out_channels_index)\n        else:\n            new_convtrans.bias.data.copy_(convtrans.bias.data)\n    return new_convtrans\n"
  },
  {
    "path": "src/aup/compression/torch/speedup/compressor.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport logging\nimport torch\nfrom ..utils.mask_conflict import fix_mask_conflict\nfrom ..utils.utils import get_module_by_name\nfrom .compress_modules import replace_module\nfrom .infer_shape import ModuleMasks, infer_from_mask, infer_from_inshape, infer_from_outshape, set_conv_prune_dim\n\n_logger = logging.getLogger(__name__)\n\n\nclass ModelSpeedup:\n    \"\"\"\n    This class is to speedup the model with provided weight mask\n    \"\"\"\n\n    def __init__(self, model, dummy_input, masks=None, masks_file=None, map_location=None):\n        \"\"\"\n        Parameters\n        ----------\n        model : pytorch model\n            The model user wants to speed up\n        dummy_input : pytorch tensor\n            The dummy input for ```jit.trace```, users should put it on right device before pass in\n        masks : dict\n            The pre-loaded dictionary of weight pruning masks\n        masks_file : str\n            The path of user provided mask file\n        map_location : str\n            the device on which masks are placed, same to map_location in ```torch.load```\n        \"\"\"\n        from .._graph_utils import build_module_graph\n\n        self.bound_model = model\n        if masks is not None:\n            self.masks = masks\n        elif masks_file is not None:\n            self.masks = torch.load(masks_file, map_location)\n        else:\n            raise ValueError(\"Either masks or masks_file must be passed to ModelSpeedup constructor\")\n        self.inferred_masks = dict() # key: module_name, value: ModuleMasks\n        self.dummy_input = dummy_input\n        self.torch_graph = build_module_graph(model, dummy_input)\n\n    def infer_module_mask(self, module_name, last_module, mask=None, in_shape=None, out_shape=None):\n        \"\"\"\n        Infer input shape / output shape based on the module's weight mask / input shape / output shape.\n\n        For a module:\n            Infer its input and output shape from its weight mask\n            Infer its output shape from its input shape\n            Infer its input shape from its output shape\n\n        If its input shape is changed, continue infering its predecessors\n        If its output shape is changed, continue infering its successors\n\n        Parameters\n        ----------\n        module_name : str\n            The name of the node\n        last_module : str\n            The name of last visited node\n        mask : tensor of mask or ModuleMasks\n            Mask of the weights in this node (i.e., module)\n        in_shape : ModuleMasks\n            Input shape of this node\n        out_shape : ModuleMasks\n            Output shape of this node\n        \"\"\"\n        input_cmask = output_cmask = None\n        if module_name in self.inferred_masks:\n            module_masks = self.inferred_masks[module_name]\n        else:\n            _, m = get_module_by_name(self.bound_model, module_name)\n            module_masks = ModuleMasks(module_name, m)\n            self.inferred_masks[module_name] = module_masks\n\n        m_type = self.torch_graph.name_to_node[module_name].op_type\n        _logger.debug(\"infer mask of module %s with op_type %s\", module_name, m_type)\n        if mask is not None:\n            _logger.debug(\"mask is not None\")\n            if not m_type in infer_from_mask:\n                raise RuntimeError(\n                    \"Has not supported infering input/output shape from mask for module/function: `{}`, {}\"\n                    .format(m_type, module_name))\n            if m_type in ['Linear']:\n                input_cmask, output_cmask = infer_from_mask[m_type](\n                    module_masks, mask, self.torch_graph.name_to_node[module_name].auxiliary\n                )\n            else:\n                input_cmask, output_cmask = infer_from_mask[m_type](module_masks, mask)\n        if in_shape is not None:\n            _logger.debug(\"in_shape is not None\")\n            if not m_type in infer_from_inshape:\n                raise RuntimeError(\n                    \"Has not supported infering output shape from input shape for module/function: `{}`, {}\"\n                    .format(m_type, module_name))\n            if m_type in ['aten::view', 'aten::flatten', 'aten::mean', 'aten::reshape']:\n                output_cmask = infer_from_inshape[m_type](module_masks,\n                                                          in_shape,\n                                                          self.torch_graph.name_to_node[module_name].auxiliary)\n            elif m_type in ['aten::cat']:\n                # To calculate the mask for concat operation, the output shape\n                # , cat dimension, and the order of the input parameters.\n                output_cmask = infer_from_inshape[m_type](module_masks,\n                                                          in_shape,\n                                                          self.torch_graph.name_to_node[module_name].auxiliary,\n                                                          last_module)\n            else:\n                output_cmask = infer_from_inshape[m_type](module_masks, in_shape)\n        if out_shape is not None:\n            _logger.debug(\"out_shape is not None\")\n            if not m_type in infer_from_outshape:\n                raise RuntimeError(\n                    \"Has not supported infering input shape from output shape for module/function: `{}`, {}\"\n                    .format(m_type, module_name))\n            if m_type in ['aten::view', 'aten::flatten', 'aten::mean', 'aten::reshape']:\n                input_cmask = infer_from_outshape[m_type](module_masks, out_shape, self.torch_graph.name_to_node[module_name].auxiliary)\n            else:\n                input_cmask = infer_from_outshape[m_type](module_masks, out_shape)\n\n        if input_cmask:\n            predecessors = self.torch_graph.find_predecessors(module_name)\n            for _module_name in predecessors:\n                self.infer_module_mask(_module_name, module_name, out_shape=input_cmask)\n        if output_cmask:\n            successors = self.torch_graph.find_successors(module_name)\n            for _module_name in successors:\n                self.infer_module_mask(_module_name, module_name, in_shape=output_cmask)\n\n    def infer_modules_masks(self):\n        \"\"\"\n        Do shape inference of involved modules, including the shape of weights, inputs, output\n        \"\"\"\n        for module_name, mask in self.masks.items():\n            _logger.debug('Start mask inference from %s', module_name)\n            if module_name not in self.torch_graph.name_to_node:\n                # this module is not traced in the torch_graph,\n                # jit.trace only correctly records functions and\n                # modules which are not data dependent (e.g., do\n                # not have conditionals on data in tensors)\n                # so, if a node is not traced, we just skip it.\n                _logger.warning('%s has mask, but not found in the traced graph, just skip it.', module_name)\n                continue\n            self.infer_module_mask(module_name, None, mask=mask)\n\n    def replace_compressed_modules(self):\n        \"\"\"\n        Replace all the modules that have changed (weights/inputs/output) shape.\n        The new module is created using the same arguments of the to-be-replaced module,\n        and correctly inherits its weights.\n\n        NOTE: ```func``` type cannot be replaced as it is not a module, thus, one limitation\n        is that ```func``` should be not required to be replaced.\n        \"\"\"\n        for module_name in self.inferred_masks:\n            g_node = self.torch_graph.name_to_node[module_name]\n            _logger.debug(\"replace %s, in %s type, with op_type %s\",\n                          module_name, g_node.type, g_node.op_type)\n            if g_node.type == 'module':\n                super_module, leaf_module = get_module_by_name(self.bound_model, g_node.name)\n                m_type = g_node.op_type\n                if not m_type in replace_module:\n                    raise RuntimeError(\"Has not supported replacing the module: `{}`\".format(m_type))\n                _logger.info(\"replace module (name: %s, op_type: %s)\", g_node.name, m_type)\n                compressed_module = replace_module[m_type](leaf_module, self.inferred_masks[module_name])\n                setattr(super_module, g_node.name.split('.')[-1], compressed_module)\n            elif g_node.type == 'func':\n                _logger.info(\"Warning: cannot replace (name: %s, op_type: %s) which is func type\",\n                             module_name, g_node.op_type)\n            else:\n                raise RuntimeError(\"Unsupported node type: {}\".format(g_node.type))\n\n    def speedup_model(self):\n        \"\"\"\n        There are basically two steps:\n        first, do mask/shape inference,\n        second, replace modules\n        \"\"\"\n        training = self.bound_model.training\n        _logger.info(\"start to speed up the model\")\n\n        _logger.info(\"fix the mask conflict of the interdependent layers\")\n        _, conv_prune_dim = fix_mask_conflict(self.masks, self.bound_model, self.dummy_input)\n        set_conv_prune_dim(conv_prune_dim)\n\n        _logger.info(\"infer module masks...\")\n        self.infer_modules_masks()\n        _logger.info(\"replace compressed modules...\")\n        self.replace_compressed_modules()\n        self.bound_model.train(training)\n        _logger.info(\"speedup done\")\n"
  },
  {
    "path": "src/aup/compression/torch/speedup/infer_shape.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\"\"\"\nFor each operation or module, there are two functions.\nOne is given output shape, infer its input shape and initialization parameters (e.g., weight's shape)\nThe other is given input shape, infer its output shape and initialization parameters (e.g., weight's shape)\n\"\"\"\n\nimport logging\nimport torch\n\n_logger = logging.getLogger(__name__)\n\nconv_prune_dim = -1\n\n\ndef set_conv_prune_dim(dim):\n    \"\"\"\n    Parameters:\n    dim: int\n        0: filter pruning\n        1: channel pruning\n    \"\"\"\n    global conv_prune_dim\n    conv_prune_dim = dim\n\n\nclass CoarseMask:\n    \"\"\"\n    Coarse grained mask for a given tensor, here tensor could be weights,\n    input tensor, or output tensor\n    \"\"\"\n\n    def __init__(self, num_dim):\n        \"\"\"\n        Parameters\n        ----------\n        num_dim : int\n            The number of dimensions of the tensor that will be masked\n        \"\"\"\n        self.mask_index = [None for _ in range(num_dim)]\n\n    def add_index_mask(self, dim, index):\n        \"\"\"\n        Add mask for the specified dimension\n\n        Parameters\n        ----------\n        dim : int\n            The dimension to add mask\n        index : tensor\n            The mask for this dimension, its a 1 dimension tensor which specifies\n            the index of the elements that are not pruned\n        \"\"\"\n        self.mask_index[dim] = index\n\n    @staticmethod\n    def merge_index(index_a, index_b):\n        \"\"\"\n        Parameters\n        ----------\n        index_a : tensor\n            One index (1-dimension) tensor\n        index_b : tensor\n            The other index (1-dimension) tensor\n\n        Returns\n        -------\n        tensor\n            The merged index (1-dimension) tensor\n            Note that: the output tensor will be moved\n            to the same device as index_a.\n        \"\"\"\n        device = index_a.device\n        s = set()\n        for num in index_a.tolist():\n            # we need to transfer the tensor to list here\n            # first, directly traversing the tensor by for\n            # loop will return the list of tensor(x) object,\n            # even the value are the same, but they are different\n            # tensor objects, so the set will contains multiple\n            # tensor objects that has the same value. For example\n            # for num in torch.ones(2):\n            #   s.add(num)\n            # s will be {tensor(1), tensor(1)}\n            s.add(num)\n        for num in index_b.tolist():\n            s.add(num)\n        # move the output tensor to the same device with index_a\n        return torch.tensor(sorted(s)).to(device)  # pylint: disable=not-callable\n\n    def merge(self, cmask):\n        \"\"\"\n        Merge another CoarseMask\n\n        Parameters\n        ----------\n        cmask : CoarseMask\n            Another CoarseMask to merge\n\n        Returns\n        -------\n        list\n            The member variable ```mask_index```\n        \"\"\"\n        assert isinstance(cmask, CoarseMask)\n        assert len(self.mask_index) == len(cmask.mask_index), \\\n            \"Only masks with the same number of dimensions can be merged\"\n        for i, index in enumerate(self.mask_index):\n            if index is None:\n                self.mask_index[i] = cmask.mask_index[i]\n            elif cmask.mask_index[i] is not None:\n                self.mask_index[i] = CoarseMask.merge_index(self.mask_index[i],\n                                                            cmask.mask_index[i])\n        return self.mask_index\n\n    def __repr__(self):\n        return 'mask_index: {}'.format(self.mask_index)\n\n    def eq_on_dim(self, other, dim):\n        assert isinstance(other, CoarseMask)\n        if self.mask_index[dim] is None and other.mask_index[dim] is None:\n            return True\n        elif isinstance(self.mask_index[dim], torch.Tensor) \\\n                and isinstance(other.mask_index[dim], torch.Tensor):\n            return torch.equal(self.mask_index[dim], other.mask_index[dim])\n        else:\n            return False\n\n    def __eq__(self, other):\n        assert isinstance(other, CoarseMask)\n        if len(self.mask_index) != len(other.mask_index):\n            return False\n        for i in range(len(self.mask_index)):\n            if not self.eq_on_dim(other, i):\n                return False\n        return True\n\n    def __lt__(self, other):\n        \"\"\"\n        Judge if the mask is a subset of another CoarseMask.\n        \"\"\"\n        assert isinstance(other, CoarseMask)\n        for dim, _ in enumerate(self.mask_index):\n            # if self has more dimensions\n            if dim >= len(other.mask_index):\n                return False\n            if self.mask_index[dim] is None:\n                # if no mask on this dimension, then we have less\n                # masks then the other CoraseMask.\n                continue\n            elif other.mask_index[dim] is None:\n                return False\n            else:\n                s1 = set(self.mask_index[dim].tolist())\n                s2 = set(other.mask_index[dim].tolist())\n                if not s1 < s2:\n                    return False\n        return True\n\n    def __le__(self, other):\n        \"\"\"\n        Return if self's mask is less or equal to other's mask.\n        \"\"\"\n        assert isinstance(other, CoarseMask)\n        if self.__lt__(other) or self.__eq__(other):\n            return True\n        return False\n\n    def __ne__(self, other):\n        return not self.__eq__(other)\n\n\nclass ModuleMasks:\n    \"\"\"\n    The masks of a module, including the masks for weights, inputs, output\n    \"\"\"\n\n    def __init__(self, module_name, module=None):\n        \"\"\"\n        Parameters\n        ----------\n        module_name : str\n            The name of the module or function\n        \"\"\"\n        self.module_name = module_name\n        self.module = module\n        self.param_masks = dict()\n        self.input_mask = None\n        self.output_mask = None\n\n    def set_param_masks(self, name, mask):\n        \"\"\"\n        Parameters\n        ----------\n        name : str\n            The name of the weight\n        mask : CoarseMask\n            The mask for this weight\n        \"\"\"\n        self.param_masks[name] = mask\n\n    def set_input_mask(self, mask):\n        \"\"\"\n        Parameters\n        ----------\n        mask : CoarseMask\n            The mask for input\n        \"\"\"\n        self.input_mask = mask\n\n    def set_output_mask(self, mask):\n        \"\"\"\n        Parameters\n        ----------\n        mask : CoarseMask\n            The mask for output\n        \"\"\"\n        self.output_mask = mask\n\n    def __repr__(self):\n        return 'module_name: {}, input_mask: {}, output_mask: {}, param_masks: {}'.format(\n            self.module_name, self.input_mask, self.output_mask, self.param_masks\n        )\n\n\n\"\"\"\nInfer input and output shape of a module/function from its weight mask\n\"\"\"\ninfer_from_mask = {\n    'BatchNorm2d': lambda module_masks, mask: batchnorm2d_mask(module_masks, mask),\n    'Conv2d': lambda module_masks, mask: conv2d_mask(module_masks, mask),\n    'ConvTranspose2d': lambda module_masks, mask: convtranspose2d_mask(module_masks, mask),\n    'Linear': lambda module_masks, mask, shape: linear_mask(module_masks, mask, shape)\n}\n\n\"\"\"\nInfer output and weight shape of a module/function from its input shape\n\"\"\"\ninfer_from_inshape = {\n    'ReLU': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'ReLU6': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'Sigmoid': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'aten::relu': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'aten::tanh': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'aten::tanh_': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'aten::hardtanh': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'aten::hardtanh_': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'aten::relu_': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'aten::sigmoid': lambda module_masks, mask: relu_inshape(module_masks, mask),\n    'Conv2d': lambda module_masks, mask: conv2d_inshape(module_masks, mask),\n    'ConvTranspose2d': lambda module_masks, mask: convtranspose2d_inshape(module_masks, mask),\n    'MaxPool2d': lambda module_masks, mask: maxpool2d_inshape(module_masks, mask),\n    'aten::max_pool2d': lambda module_masks, mask: maxpool2d_inshape(module_masks, mask),\n    'aten::avg_pool2d': lambda module_masks, mask: maxpool2d_inshape(module_masks, mask),\n    'aten::adaptive_avg_pool2d': lambda module_masks, mask: maxpool2d_inshape(module_masks, mask),\n    'AvgPool2d': lambda module_masks, mask: maxpool2d_inshape(module_masks, mask),\n    'AdaptiveAvgPool2d': lambda module_masks, mask: maxpool2d_inshape(module_masks, mask),\n    'aten::size': lambda module_masks, mask: size_inshape(module_masks, mask),\n    'aten::view': lambda module_masks, mask, shape: view_inshape(module_masks, mask, shape),\n    'aten::reshape': lambda module_masks, mask, shape: view_inshape(module_masks, mask, shape),\n    # support only start_dim=1\n    'aten::flatten': lambda module_masks, mask, shape: view_inshape(module_masks, mask, shape),\n    'Linear': lambda module_masks, mask: linear_inshape(module_masks, mask),\n    'BatchNorm2d': lambda module_masks, mask: batchnorm2d_inshape(module_masks, mask),\n    'aten::add_': lambda module_masks, mask: add_inshape(module_masks, mask),\n    'aten::add': lambda module_mask, mask: add_inshape(module_mask, mask),\n    # mul has the similar behaviour with add, they both request\n    # the input tesors to have the same shape\n    'aten::mul': lambda module_mask, mask: add_inshape(module_mask, mask),\n    'aten::mul_': lambda module_mask, mask: add_inshape(module_mask, mask),\n    'aten::cat': lambda module_mask, mask, cat_info, last_visited: cat_inshape(module_mask, mask, cat_info, last_visited),\n    'aten::mean': lambda module_masks, mask, shape: mean_inshape(module_masks, mask, shape),\n    'Dropout': lambda module_masks, mask: dropout_inshape(module_masks, mask),\n    'Dropout2d': lambda module_masks, mask: dropout_inshape(module_masks, mask),\n    'aten::dropout': lambda module_masks, mask: dropout_inshape(module_masks, mask),\n    'aten::detach': lambda module_masks, mask: dropout_inshape(module_masks, mask)\n}\n\n\"\"\"\nInfer input and weight shape of a module/function from its output shape\n\"\"\"\ninfer_from_outshape = {\n    'Conv2d': lambda module_masks, mask: conv2d_outshape(module_masks, mask),\n    'ConvTranspose2d': lambda module_masks, mask: convtranspose2d_outshape(module_masks, mask),\n    'BatchNorm2d': lambda module_masks, mask: batchnorm2d_outshape(module_masks, mask),\n\n    'MaxPool2d': lambda module_masks, mask: maxpool2d_outshape(module_masks, mask),\n    'aten::max_pool2d': lambda module_masks, mask: maxpool2d_outshape(module_masks, mask),\n    'aten::avg_pool2d': lambda module_masks, mask: maxpool2d_outshape(module_masks, mask),\n    'aten::adaptive_avg_pool2d': lambda module_masks, mask: maxpool2d_outshape(module_masks, mask),\n    'AvgPool2d': lambda module_masks, mask: maxpool2d_outshape(module_masks, mask),\n    'AdaptiveAvgPool2d': lambda module_masks, mask: maxpool2d_outshape(module_masks, mask),\n\n    'ReLU': lambda module_masks, mask: relu_outshape(module_masks, mask),\n    'ReLU6': lambda module_masks, mask: relu_outshape(module_masks, mask),\n    'aten::relu': lambda module_masks, mask: relu_outshape(module_masks, mask),\n    'aten::tanh': lambda module_masks, mask: relu_outshape(module_masks, mask),\n    'aten::tanh_': lambda module_masks, mask: relu_outshape(module_masks, mask),\n    'aten::hardtanh': lambda module_masks, mask: relu_outshape(module_masks, mask),\n    'aten::hardtanh_': lambda module_masks, mask: relu_outshape(module_masks, mask),\n    'aten::relu_': lambda module_masks, mask: relu_outshape(module_masks, mask),\n\n    'aten::add_': lambda module_masks, mask: add_outshape(module_masks, mask),\n    'aten::add': lambda module_mask, mask: add_outshape(module_mask, mask),\n    'aten::flatten': lambda module_mask, mask, shape: view_outshape(module_mask, mask, shape),\n    'aten::view': lambda module_masks, mask, shape: view_outshape(module_masks, mask, shape),\n    'aten::reshape': lambda module_masks, mask, shape: view_outshape(module_masks, mask, shape),\n    'aten::mean': lambda module_masks, mask, shape: mean_outshape(module_masks, mask, shape),\n    'Dropout': lambda module_masks, mask: dropout_outshape(module_masks, mask),\n    'Dropout2d': lambda module_masks, mask: dropout_outshape(module_masks, mask),\n    'aten::dropout': lambda module_masks, mask: dropout_outshape(module_masks, mask),\n    'aten::detach': lambda module_masks, mask: dropout_outshape(module_masks, mask)\n}\n\n\ndef dropout_inshape(module_masks, mask):\n    if module_masks.input_mask is None:\n        module_masks.set_input_mask(mask)\n        module_masks.set_output_mask(mask)\n        return module_masks.output_mask\n    # if alreay visited\n    assert module_masks.input_mask <= mask\n    # It should be the same, we pass the masks by the reference(not the value),\n    # so they acutually are two references of the same object(mask,\n    # module_masks.input_mask). So we should continue pass the mask\n    # to the following nodes even module_masks.input_mask == mask.\n    # if pass the mask by copy.deepcopy(), then we can stop when\n    # module_masks.input_mask == mask.\n    # if module_masks.input_mask == mask:\n    #     return None\n    module_masks.set_input_mask(mask)\n    module_masks.set_output_mask(mask)\n    return module_masks.output_mask\n\n\ndef dropout_outshape(module_masks, mask):\n    if module_masks.output_mask is None:\n        module_masks.set_output_mask(mask)\n        module_masks.set_input_mask(mask)\n        return module_masks.input_mask\n    # if alreay visited\n    assert all(module_masks.output_mask.mask_index[1] == mask.mask_index[1])\n\n    return module_masks.output_mask\n\n\ndef cat_inshape(module_masks, mask, cat_info, last_visited):\n    \"\"\"\n    Inference the output mask of the cat operation from the\n    input mask.\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the Conv2d\n    mask : CoarseMask\n        The mask of its input tensor\n    cat_info: dict\n        Dict object that records the necessary information\n        of cat operation, such as the order of the input\n        tensors.\n    last_visited: str\n        The unique_name of the last visited node group.\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    out_shape = cat_info['out_shape']\n    cat_dim = cat_info['cat_dim']\n    in_order = cat_info['in_order']\n    in_shape = cat_info['in_shape']\n    if module_masks.output_mask is None:\n        # First visit to this cat node\n        # initialize the mask based on\n        # the number of the output channel.\n        output_mask = CoarseMask(num_dim=len(out_shape))\n        for dim, _ in enumerate(out_shape):\n            if dim == cat_dim:\n                if mask.mask_index[dim] is None:\n                    continue\n                device = mask.mask_index[dim].device\n                # calculate the offset of the mask\n                pos = in_order.index(last_visited)\n                offsets = [in_shape[i][cat_dim]\n                           for i, _ in enumerate(in_shape)]\n                offset = 0\n                for i in range(pos):\n                    offset += offsets[i]\n                _tmp_mask = (mask.mask_index[dim] + offset).to(device)\n                output_mask.mask_index[dim] = _tmp_mask\n            else:\n                # directly copy the mask\n                if mask.mask_index[dim] is not None:\n                    output_mask.mask_index[dim] = mask.mask_index[dim].data.clone(\n                    )\n        module_masks.set_output_mask(output_mask)\n\n        return module_masks.output_mask\n    # If this cat node is already visited, we need\n    # validating if the mask is legel, for cat operation,\n    # the mask on the 'cat_dim' dimension should be stitched\n    # together. In the other dimensions, the mask should be\n    # the same, else the mask is not legal.\n    for dim, _ in enumerate(out_shape):\n        if dim == cat_dim:\n            if mask.mask_index[dim] is None:\n                continue\n            pos = in_order.index(last_visited)\n            offsets = [in_shape[i][cat_dim] for i, _ in enumerate(in_shape)]\n            offset = 0\n            for i in range(pos):\n                offset += offsets[i]\n            device = mask.mask_index[dim].device\n            new_mask = mask.mask_index[dim] + offset\n            module_masks.output_mask.mask_index[dim] = CoarseMask.merge_index(\n                module_masks.output_mask.mask_index[dim], new_mask).to(device)\n        else:\n            assert module_masks.output_mask.eq_on_dim(mask, dim)\n\n    return module_masks.output_mask\n\n\ndef add_inshape(module_masks, mask):\n    \"\"\"\n    Inference the output mask of the add operation from the\n    input mask.\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    if module_masks.input_mask is None:\n        module_masks.set_input_mask(mask)\n        module_masks.set_output_mask(mask)\n        # module_masks.input_mask = mask\n        return mask\n    # If alreay visited, validate if have the conflict\n    # if the mask is different with previous input_mask\n    # then there is a mask confilct.\n    if mask != module_masks.input_mask:\n        raise Exception('Mask conflict happenes!')\n    return None\n\n\ndef add_outshape(module_masks, mask):\n    \"\"\"\n    Inference the input mask of the add operation from the\n    output mask.\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n\n    if module_masks.output_mask is None:\n        module_masks.set_output_mask(mask)\n        module_masks.set_input_mask(mask)\n        return mask\n    else:\n        assert all(\n            module_masks.output_mask.mask_index[1] == mask.mask_index[1])\n    return mask\n\n\ndef batchnorm2d_inshape(module_masks, mask):\n    \"\"\"\n    We assume only the second dimension has coarse grained mask\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the batchnorm2d\n    mask : CoarseMask\n        The mask of its input tensor\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n    assert mask.mask_index[2] is None\n    assert mask.mask_index[3] is None\n    module_masks.set_input_mask(mask)\n    module_masks.set_output_mask(mask)\n    weight_cmask = CoarseMask(num_dim=1)\n    weight_cmask.add_index_mask(dim=0, index=mask.mask_index[1])\n    module_masks.set_param_masks('weight', weight_cmask)\n    module_masks.set_param_masks('bias', weight_cmask)\n    return mask\n\n\ndef batchnorm2d_outshape(module_masks, mask):\n    \"\"\"\n    We assume only the second dimension has coarse grained mask\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the batchnorm2d\n    mask : CoarseMask\n        The mask of its input tensor\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    assert len(mask.mask_index) in [2, 4]\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n    module_masks.set_input_mask(mask)\n    module_masks.set_output_mask(mask)\n    weight_cmask = CoarseMask(num_dim=1)\n    weight_cmask.add_index_mask(dim=0, index=mask.mask_index[1])\n    module_masks.set_param_masks('weight', weight_cmask)\n    module_masks.set_param_masks('bias', weight_cmask)\n    return mask\n\n\ndef linear_inshape(module_masks, mask):\n    \"\"\"\n    Coarse grained input mask does not change the shape of weights and output tensor\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the linear\n    mask : CoarseMask\n        The mask of its input tensor\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor, ```None``` means shape of output tensor is not changed\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[0] is None\n    if module_masks.input_mask is not None:\n        assert module_masks.input_mask <= mask\n    module_masks.set_input_mask(mask)\n    return None\n\n\ndef view_inshape(module_masks, mask, shape):\n    \"\"\"\n    This is a limited support\n\n    TODO: consider replace tensor.view with nn.Flatten, because tensor.view is not\n    included in module, thus, cannot be replaced by our framework.\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the ```view``` op\n    mask : CoarseMask\n        The mask of its input tensor\n    shape : dict\n        Original shape of its input and output tensors\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    # NOTE: the case constrained by the following four asserts\n    assert shape['in_shape'][0] == shape['out_shape'][0]\n    assert len(shape['in_shape']) == 4\n    assert len(shape['out_shape']) == 2\n    assert shape['out_shape'][1] == shape['in_shape'][1] * \\\n        shape['in_shape'][2]*shape['in_shape'][3]\n\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n    assert mask.mask_index[2] is None\n    assert mask.mask_index[3] is None\n    # due to the cat operation, the same node may be\n    # accessed more than once\n    if module_masks.input_mask is not None:\n        assert module_masks.input_mask <= mask\n    module_masks.set_input_mask(mask)\n    output_cmask = CoarseMask(num_dim=2)\n    index = []\n    step_size = shape['in_shape'][2] * shape['in_shape'][3]\n    for loc in mask.mask_index[1]:\n        index.extend([loc * step_size + i for i in range(step_size)])\n    output_cmask.add_index_mask(dim=1, index=torch.tensor(index).to(mask.mask_index[1].device))  # pylint: disable=not-callable\n    module_masks.set_output_mask(output_cmask)\n    return output_cmask\n\n\ndef view_outshape(module_masks, mask, shape):\n    \"\"\"\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the ```flatten``` op\n    mask : CoarseMask\n        The mask of its input tensor\n    shape : dict\n        Original shape of its input and output tensors\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    # NOTE: the case constrained by the following four asserts\n    assert shape['in_shape'][0] == shape['out_shape'][0]\n    assert len(shape['in_shape']) == 4\n    assert len(shape['out_shape']) == 2\n    assert shape['out_shape'][1] == shape['in_shape'][1] * \\\n        shape['in_shape'][2]*shape['in_shape'][3]\n\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n\n    module_masks.set_output_mask(mask)\n    input_cmask = CoarseMask(num_dim=4)\n    index = []\n    step_size = shape['in_shape'][2] * shape['in_shape'][3]\n    for loc in mask.mask_index[1]:\n        index.extend([loc * step_size + i for i in range(step_size)])\n    input_cmask.add_index_mask(dim=1, index=torch.tensor(index).to(mask.mask_index[1].device))  # pylint: disable=not-callable\n    module_masks.set_input_mask(input_cmask)\n\n    return input_cmask\n\n\ndef size_inshape(module_masks, mask):\n    \"\"\"\n    No need to do anything for this ```size``` op\n    \"\"\"\n    return None\n\n\ndef mean_inshape(module_masks, mask, shape):\n    \"\"\"\n    Similar to view operation, currently mask inference only supports\n    the mean operation on the 3rd and 4th dimensions.\n    \"\"\"\n    assert shape['in_shape'][0] == shape['out_shape'][0]\n    assert shape['out_shape'][1] == shape['in_shape'][1]\n    assert len(shape['in_shape']) == 4\n    assert len(shape['out_shape']) == 2\n\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n    assert mask.mask_index[2] is None\n    assert mask.mask_index[3] is None\n    module_masks.set_input_mask(mask)\n\n    output_cmask = CoarseMask(num_dim=2)\n    output_cmask.add_index_mask(dim=1, index=mask.mask_index[1])\n    module_masks.set_output_mask(output_cmask)\n    return output_cmask\n\n\ndef mean_outshape(module_masks, mask, shape):\n    \"\"\"\n    Similar to view operation, currently mask inference only supports\n    the mean operation on the 3rd and 4th dimensions.\n    \"\"\"\n    assert shape['in_shape'][0] == shape['out_shape'][0]\n    assert shape['out_shape'][1] == shape['in_shape'][1]\n    assert len(shape['in_shape']) == 4\n    assert len(shape['out_shape']) == 2\n\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n    module_masks.set_output_mask(mask)\n\n    input_cmask = CoarseMask(num_dim=4)\n    input_cmask.add_index_mask(dim=1, index=mask.mask_index[1])\n    module_masks.set_input_mask(input_cmask)\n    return input_cmask\n\n\ndef maxpool2d_inshape(module_masks, mask):\n    \"\"\"\n    Assume only the second dimension is masked\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the maxpool2d\n    mask : CoarseMask\n        The mask of its input tensor\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n    assert mask.mask_index[2] is None\n    assert mask.mask_index[3] is None\n    if module_masks.input_mask is not None:\n        assert module_masks.input_mask <= mask\n    # assert module_masks.input_mask is None\n    module_masks.set_input_mask(mask)\n    module_masks.set_output_mask(mask)\n    return mask\n\n\ndef maxpool2d_outshape(module_masks, mask):\n    \"\"\"\n    Assume only the second dimension is masked\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the maxpool2d\n    mask : CoarseMask\n        The mask of its input tensor\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n\n    module_masks.set_input_mask(mask)\n    module_masks.set_output_mask(mask)\n    return mask\n\n\ndef relu_inshape(module_masks, mask):\n    \"\"\"\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the relu\n    mask : CoarseMask\n        The mask of its input tensor\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    if module_masks.input_mask is not None:\n        # mask conflict should be solved before speedup\n        assert module_masks.input_mask <= mask\n    # assert module_masks.input_mask is None, \"A relu op can only be processed once\"\n    module_masks.set_input_mask(mask)\n    module_masks.set_output_mask(mask)\n    return mask\n\n\ndef relu_outshape(module_masks, mask):\n    \"\"\"\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the relu\n    mask : CoarseMask\n        The mask of its input tensor\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    if module_masks.output_mask is not None:\n        # mask conflict should be solved before speedup\n        assert all(\n            module_masks.output_mask.mask_index[1] == mask.mask_index[1])\n    module_masks.set_input_mask(mask)\n    module_masks.set_output_mask(mask)\n    return mask\n\n\ndef batchnorm2d_mask(module_masks, mask):\n    \"\"\"\n    Infer input and output shape from weight mask\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the batchnorm2d\n    mask : dict\n        The mask of its weights, from the user provided mask file\n    Returns\n    -------\n    CoarseMask, CoarseMask\n        The mask of its input tensor, the mask of its output tensor\n    \"\"\"\n    assert 'weight' in mask and 'bias' in mask\n    sum_mask = mask['weight'] + mask['bias']\n    nonzero_index = torch.nonzero(sum_mask, as_tuple=True)[0]\n    # infer shape of parameters\n    param_cmask = CoarseMask(num_dim=1)\n    param_cmask.add_index_mask(dim=0, index=nonzero_index)\n    module_masks.set_param_masks('weight', param_cmask)\n    module_masks.set_param_masks('bias', param_cmask)\n    # infer shape of input tensor\n    input_cmask = CoarseMask(num_dim=4)\n    input_cmask.add_index_mask(dim=1,\n                               index=torch.nonzero(mask['weight'], as_tuple=True)[0])\n    module_masks.set_input_mask(input_cmask)\n    # infer shape of output tensor\n    output_cmask = CoarseMask(num_dim=4)\n    output_cmask.add_index_mask(dim=1, index=nonzero_index)\n    module_masks.set_output_mask(output_cmask)\n    return input_cmask, output_cmask\n\n\ndef linear_mask(module_masks, mask, shape):\n    \"\"\"\n    Infer input and output shape from weight mask with limitations:\n    Only support infer input mask\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the Linear\n    mask : dict\n        The mask of its weights, from the user provided mask file\n    shape: dict\n        Shape of its input and output tensors\n    Returns\n    -------\n    CoarseMask, CoarseMask\n        The mask of its input tensor, the mask of its output tensor\n    \"\"\"\n\n    assert 'weight' in mask\n    num_input_dim = len(shape['in_shape'])\n\n    # Input data of Linear module can have multiple dimensions.\n    # here we only support infer coarse mask on the first dimension (dimension 0)\n    nonzero_index = torch.nonzero(mask['weight'].sum(0), as_tuple=True)[0]\n\n    # infer shape of input tensor\n    input_cmask = CoarseMask(num_dim=num_input_dim)\n    input_cmask.add_index_mask(dim=num_input_dim-1, index=nonzero_index)\n\n    module_masks.set_input_mask(input_cmask)\n    return input_cmask, None\n\n\ndef conv2d_mask(module_masks, mask):\n    \"\"\"\n    Infer input and output shape from weight mask\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the conv2d\n    mask : dict\n        The mask of its weights, from the user provided mask file\n\n    Returns\n    -------\n    CoarseMask, CoarseMask\n        The mask of its input tensor, the mask of its output tensor\n    \"\"\"\n    def convert_to_coarse_mask(mask, dim=0):\n        \"\"\"\n        Parameters\n        ----------\n        mask : dict\n            Weight mask from user provided mask file\n        dim: int\n            0: filter pruning\n            1: channel pruning\n\n        Returns\n        -------\n        LongTensor, CoarseMask, CoarseMask\n            Index of the masked dimension, weight mask, bias mask\n        \"\"\"\n        assert 'weight' in mask\n        assert isinstance(mask['weight'], torch.Tensor)\n        assert dim in [0, 1]\n\n        weight_mask = mask['weight']\n\n        sum_idx = (1, 2, 3) if dim == 0 else (0, 2, 3)\n        index = torch.nonzero(weight_mask.abs().sum(\n            sum_idx) != 0, as_tuple=True)[0]\n\n        index = index.long().to(weight_mask.device)\n        weight_cmask = CoarseMask(num_dim=4)\n        weight_cmask.add_index_mask(dim=dim, index=index)\n        bias_cmask = None\n        if dim == 0 and 'bias' in mask and mask['bias'] is not None:\n            bias_index = torch.nonzero(mask['bias'], as_tuple=True)[0]\n            assert torch.all(torch.eq(index, bias_index)), \\\n                \"bias mask should be consistent with weight mask\"\n            bias_cmask = CoarseMask(num_dim=1)\n            bias_cmask.add_index_mask(dim=0, index=bias_index)\n        return index, weight_cmask, bias_cmask\n\n    index, weight_cmask, bias_cmask = convert_to_coarse_mask(\n        mask, dim=conv_prune_dim)\n\n    if index is None:\n        # TODO: fine grained mask speedup\n        return None, None\n    # deal with coarse grain mask\n    # mask conflict should be solved by fix_mask_conflict before speedup\n    if 'weight' in module_masks.param_masks:\n        assert module_masks.param_masks['weight'] == weight_cmask\n    else:\n        module_masks.set_param_masks('weight', weight_cmask)\n        if conv_prune_dim == 0:\n            module_masks.set_param_masks('bias', bias_cmask)\n\n    io_cmask = CoarseMask(num_dim=4)\n    io_cmask.add_index_mask(dim=1, index=index)\n\n    if conv_prune_dim == 0:\n        if module_masks.output_mask is None:\n            module_masks.set_output_mask(io_cmask)\n        else:\n            assert module_masks.output_mask == io_cmask\n        return None, module_masks.output_mask\n    else:\n        if module_masks.input_mask is None:\n            module_masks.set_input_mask(io_cmask)\n        else:\n            assert module_masks.input_mask == io_cmask\n        return module_masks.input_mask, None\n\n\ndef conv2d_inshape(module_masks, mask):\n    \"\"\"\n    Shape change of input tensor does not affect the shape of its output tensor\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the conv2d\n    mask : CoarseMask\n        The mask of its input tensor\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    if module_masks.input_mask is None:\n        module_masks.set_input_mask(mask)\n    else:\n        # the same conv layer may be accessed more\n        # than once, such as a concat operation.\n        # mask conflict should be solved by fix_mask_conflict before speedup\n\n        assert module_masks.input_mask == mask\n\n    # shape changes pass through depths wise conv layers\n    m = module_masks.module\n    if m.in_channels == m.out_channels == m.groups:\n        module_masks.output_mask = mask\n        module_masks.input_mask = mask\n        return mask\n    return None\n\n\ndef conv2d_outshape(module_masks, mask):\n    \"\"\"\n    Assume only the second dimension is masked\n\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the conv2d\n    mask : CoarseMask\n        The mask of its output tensor\n\n    Returns\n    -------\n    CoarseMask\n        The mask of its input tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n    assert mask.mask_index[2] is None\n    assert mask.mask_index[3] is None\n\n    if module_masks.output_mask is None:\n        module_masks.output_mask = mask\n    else:\n        # mask conflict should be solved by fix_mask_conflict before speedup\n        # mask and module_masks.output_mask may have different number of dimensions\n        # since they could be passed by linear or conv2d\n        assert all(\n            module_masks.output_mask.mask_index[1] == mask.mask_index[1])\n\n    weight_cmask = CoarseMask(num_dim=4)\n    weight_cmask.add_index_mask(dim=0, index=mask.mask_index[1])\n    bias_cmask = CoarseMask(num_dim=1)\n    bias_cmask.add_index_mask(dim=0, index=mask.mask_index[1])\n    module_masks.set_param_masks('weight', weight_cmask)\n    module_masks.set_param_masks('bias', bias_cmask)\n\n    # shape changes pass through depths wise conv layers\n    m = module_masks.module\n    if m.in_channels == m.out_channels == m.groups:\n        module_masks.output_mask = mask\n        module_masks.input_mask = mask\n        return mask\n    return None\n\n\ndef convtranspose2d_mask(module_masks, mask):\n    # TODO support the Convtranspose2d Pruning for the L1FilterPruner\n    raise Exception(\n        \"Current Filter pruner cannot prune the ConvTranspose2d, will support pruning ConvTranspose2d later\")\n\n\ndef convtranspose2d_inshape(module_masks, mask):\n    \"\"\"\n    Shape change of input tensor does not affect the shape of its output tensor\n    Parameters\n    ----------\n    module_masks : ModuleMasks\n        The ModuleMasks instance of the conv2d\n    mask : CoarseMask\n        The mask of its input tensor\n    Returns\n    -------\n    CoarseMask\n        The mask of its output tensor\n    \"\"\"\n    assert isinstance(mask, CoarseMask)\n    if module_masks.input_mask is None:\n        module_masks.set_input_mask(mask)\n    else:\n        # the same conv layer may be accessed more\n        # than once, such as a concat operation.\n        # mask conflict should be solved by fix_mask_conflict before speedup\n        assert module_masks.input_mask == mask\n\n    # shape changes pass through depths wise conv layers\n    m = module_masks.module\n    if m.in_channels == m.out_channels == m.groups:\n        module_masks.output_mask = mask\n        module_masks.input_mask = mask\n        return mask\n    return None\n\n\ndef convtranspose2d_outshape(module_masks, mask):\n    assert isinstance(mask, CoarseMask)\n    assert mask.mask_index[1] is not None\n    assert mask.mask_index[0] is None\n    assert mask.mask_index[2] is None\n    assert mask.mask_index[3] is None\n\n    if module_masks.output_mask is None:\n        module_masks.output_mask = mask\n    else:\n        # mask conflict should be solved by fix_mask_conflict before speedup\n        # mask and module_masks.output_mask may have different number of dimensions\n        # since they could be passed by linear or conv2d\n        assert all(\n            module_masks.output_mask.mask_index[1] == mask.mask_index[1])\n\n    weight_cmask = CoarseMask(num_dim=4)\n    # Note the memory layout of Convtranspose2d is C_in, C_out, k1, k2\n    weight_cmask.add_index_mask(dim=1, index=mask.mask_index[1])\n    bias_cmask = CoarseMask(num_dim=1)\n    bias_cmask.add_index_mask(dim=0, index=mask.mask_index[1])\n    module_masks.set_param_masks('weight', weight_cmask)\n    module_masks.set_param_masks('bias', bias_cmask)\n\n    # shape changes pass through depths wise conv layers\n    m = module_masks.module\n    if m.in_channels == m.out_channels == m.groups:\n        module_masks.output_mask = mask\n        module_masks.input_mask = mask\n        return mask\n    return None\n"
  },
  {
    "path": "src/aup/compression/torch/torch_utils.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport os\nimport copy\nimport functools\nfrom enum import Enum, unique\nimport json_tricks\nfrom schema import And\n\nfrom . import parameter_expressions\n\n\nto_json = functools.partial(json_tricks.dumps, allow_nan=True)\n\n@unique\nclass OptimizeMode(Enum):\n    \"\"\"Optimize Mode class\n\n    if OptimizeMode is 'minimize', it means the tuner need to minimize the reward\n    that received from Trial.\n\n    if OptimizeMode is 'maximize', it means the tuner need to maximize the reward\n    that received from Trial.\n    \"\"\"\n    Minimize = 'minimize'\n    Maximize = 'maximize'\n\n\nclass NodeType:\n    \"\"\"Node Type class\n    \"\"\"\n    ROOT = 'root'\n    TYPE = '_type'\n    VALUE = '_value'\n    INDEX = '_index'\n    NAME = '_name'\n\n\nclass MetricType:\n    \"\"\"The types of metric data\n    \"\"\"\n    FINAL = 'FINAL'\n    PERIODICAL = 'PERIODICAL'\n    REQUEST_PARAMETER = 'REQUEST_PARAMETER'\n\n\ndef split_index(params):\n    \"\"\"\n    Delete index infromation from params\n    \"\"\"\n    if isinstance(params, dict):\n        if NodeType.INDEX in params.keys():\n            return split_index(params[NodeType.VALUE])\n        result = {}\n        for key in params:\n            result[key] = split_index(params[key])\n        return result\n    else:\n        return params\n\n\ndef extract_scalar_reward(value, scalar_key='default'):\n    \"\"\"\n    Extract scalar reward from trial result.\n\n    Parameters\n    ----------\n    value : int, float, dict\n        the reported final metric data\n    scalar_key : str\n        the key name that indicates the numeric number\n\n    Raises\n    ------\n    RuntimeError\n        Incorrect final result: the final result should be float/int,\n        or a dict which has a key named \"default\" whose value is float/int.\n    \"\"\"\n    if isinstance(value, (float, int)):\n        reward = value\n    elif isinstance(value, dict) and scalar_key in value and isinstance(value[scalar_key], (float, int)):\n        reward = value[scalar_key]\n    else:\n        raise RuntimeError('Incorrect final result: the final result should be float/int, ' \\\n            'or a dict which has a key named \"default\" whose value is float/int.')\n    return reward\n\n\ndef extract_scalar_history(trial_history, scalar_key='default'):\n    \"\"\"\n    Extract scalar value from a list of intermediate results.\n\n    Parameters\n    ----------\n    trial_history : list\n        accumulated intermediate results of a trial\n    scalar_key : str\n        the key name that indicates the numeric number\n\n    Raises\n    ------\n    RuntimeError\n        Incorrect final result: the final result should be float/int,\n        or a dict which has a key named \"default\" whose value is float/int.\n    \"\"\"\n    return [extract_scalar_reward(ele, scalar_key) for ele in trial_history]\n\n\ndef convert_dict2tuple(value):\n    \"\"\"\n    convert dict type to tuple to solve unhashable problem.\n    \"\"\"\n    if isinstance(value, dict):\n        for _keys in value:\n            value[_keys] = convert_dict2tuple(value[_keys])\n        return tuple(sorted(value.items()))\n    return value\n\n\ndef json2space(x, oldy=None, name=NodeType.ROOT):\n    \"\"\"\n    Change search space from json format to hyperopt format\n\n    \"\"\"\n    y = list()\n    if isinstance(x, dict):\n        if NodeType.TYPE in x.keys():\n            _type = x[NodeType.TYPE]\n            name = name + '-' + _type\n            if _type == 'choice':\n                if oldy is not None:\n                    _index = oldy[NodeType.INDEX]\n                    y += json2space(x[NodeType.VALUE][_index],\n                                    oldy[NodeType.VALUE], name=name+'[%d]' % _index)\n                else:\n                    y += json2space(x[NodeType.VALUE], None, name=name)\n            y.append(name)\n        else:\n            for key in x.keys():\n                y += json2space(x[key], oldy[key] if oldy else None, name+\"[%s]\" % str(key))\n    elif isinstance(x, list):\n        for i, x_i in enumerate(x):\n            if isinstance(x_i, dict):\n                if NodeType.NAME not in x_i.keys():\n                    raise RuntimeError('\\'_name\\' key is not found in this nested search space.')\n            y += json2space(x_i, oldy[i] if oldy else None, name + \"[%d]\" % i)\n    return y\n\n\ndef json2parameter(x, is_rand, random_state, oldy=None, Rand=False, name=NodeType.ROOT):\n    \"\"\"\n    Json to pramaters.\n\n    \"\"\"\n    if isinstance(x, dict):\n        if NodeType.TYPE in x.keys():\n            _type = x[NodeType.TYPE]\n            _value = x[NodeType.VALUE]\n            name = name + '-' + _type\n            Rand |= is_rand[name]\n            if Rand is True:\n                if _type == 'choice':\n                    _index = random_state.randint(len(_value))\n                    y = {\n                        NodeType.INDEX: _index,\n                        NodeType.VALUE: json2parameter(\n                            x[NodeType.VALUE][_index],\n                            is_rand,\n                            random_state,\n                            None,\n                            Rand,\n                            name=name+\"[%d]\" % _index\n                        )\n                    }\n                else:\n                    y = getattr(parameter_expressions, _type)(*(_value + [random_state]))\n            else:\n                y = copy.deepcopy(oldy)\n        else:\n            y = dict()\n            for key in x.keys():\n                y[key] = json2parameter(\n                    x[key],\n                    is_rand,\n                    random_state,\n                    oldy[key] if oldy else None,\n                    Rand,\n                    name + \"[%s]\" % str(key)\n                )\n    elif isinstance(x, list):\n        y = list()\n        for i, x_i in enumerate(x):\n            if isinstance(x_i, dict):\n                if NodeType.NAME not in x_i.keys():\n                    raise RuntimeError('\\'_name\\' key is not found in this nested search space.')\n            y.append(json2parameter(\n                x_i,\n                is_rand,\n                random_state,\n                oldy[i] if oldy else None,\n                Rand,\n                name + \"[%d]\" % i\n            ))\n    else:\n        y = copy.deepcopy(x)\n    return y\n\ndef merge_parameter(base_params, override_params):\n    \"\"\"\n    Update the parameters in ``base_params`` with ``override_params``.\n    Can be useful to override parsed command line arguments.\n\n    Parameters\n    ----------\n    base_params : namespace or dict\n        Base parameters. A key-value mapping.\n    override_params : dict or None\n        Parameters to override. Usually the parameters got from ``get_next_parameters()``.\n        When it is none, nothing will happen.\n\n    Returns\n    -------\n    namespace or dict\n        The updated ``base_params``. Note that ``base_params`` will be updated inplace. The return value is\n        only for convenience.\n    \"\"\"\n    if override_params is None:\n        return base_params\n    is_dict = isinstance(base_params, dict)\n    for k, v in override_params.items():\n        if is_dict:\n            if k not in base_params:\n                raise ValueError('Key \\'%s\\' not found in base parameters.' % k)\n            if type(base_params[k]) != type(v) and base_params[k] is not None:\n                raise TypeError('Expected \\'%s\\' in override parameters to have type \\'%s\\', but found \\'%s\\'.' %\n                                (k, type(base_params[k]), type(v)))\n            base_params[k] = v\n        else:\n            if not hasattr(base_params, k):\n                raise ValueError('Key \\'%s\\' not found in base parameters.' % k)\n            if type(getattr(base_params, k)) != type(v) and getattr(base_params, k) is not None:\n                raise TypeError('Expected \\'%s\\' in override parameters to have type \\'%s\\', but found \\'%s\\'.' %\n                                (k, type(getattr(base_params, k)), type(v)))\n            setattr(base_params, k, v)\n    return base_params\n\nclass ClassArgsValidator(object):\n    \"\"\"\n    NNI tuners/assessors/adivisors accept a `classArgs` parameter in experiment configuration file.\n    This ClassArgsValidator interface is used to validate the classArgs section in exeperiment\n    configuration file.\n    \"\"\"\n    def validate_class_args(self, **kwargs):\n        \"\"\"\n        Validate the classArgs configuration in experiment configuration file.\n\n        Parameters\n        ----------\n        kwargs: dict\n            kwargs passed to tuner/assessor/advisor constructor\n\n        Raises:\n            Raise an execption if the kwargs is invalid.\n        \"\"\"\n        pass\n\n    def choices(self, key, *args):\n        \"\"\"\n        Utility method to create a scheme to check whether the `key` is one of the `args`.\n\n        Parameters:\n        ----------\n        key: str\n            key name of the data to be validated\n        args: list of str\n            list of the choices\n\n        Returns: Schema\n        --------\n            A scheme to check whether the `key` is one of the `args`.\n        \"\"\"\n        return And(lambda n: n in args, error='%s should be in [%s]!' % (key, str(args)))\n\n    def range(self, key, keyType, start, end):\n        \"\"\"\n        Utility method to create a schema to check whether the `key` is in the range of [start, end].\n\n        Parameters:\n        ----------\n        key: str\n            key name of the data to be validated\n        keyType: type\n            python data type, such as int, float\n        start: type is specified by keyType\n            start of the range\n        end: type is specified by keyType\n            end of the range\n\n        Returns: Schema\n        --------\n            A scheme to check whether the `key` is in the range of [start, end].\n        \"\"\"\n        return And(\n            And(keyType, error='%s should be %s type!' % (key, keyType.__name__)),\n            And(lambda n: start <= n <= end, error='%s should be in range of (%s, %s)!' % (key, start, end))\n        )\n"
  },
  {
    "path": "src/aup/compression/torch/utils/__init__.py",
    "content": ""
  },
  {
    "path": "src/aup/compression/torch/utils/config_validation.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nfrom schema import Schema, And, SchemaError\n\ndef validate_op_names(model, op_names, logger):\n    found_names = set(map(lambda x: x[0], model.named_modules()))\n\n    not_found_op_names = list(set(op_names) - found_names)\n    if not_found_op_names:\n        logger.warning('op_names %s not found in model', not_found_op_names)\n\n    return True\n\ndef validate_op_types(model, op_types, logger):\n    found_types = set(['default']) | set(map(lambda x: type(x[1]).__name__, model.named_modules()))\n\n    not_found_op_types = list(set(op_types) - found_types)\n    if not_found_op_types:\n        logger.warning('op_types %s not found in model', not_found_op_types)\n\n    return True\n\ndef validate_op_types_op_names(data):\n    if not ('op_types' in data or 'op_names' in data):\n        raise SchemaError('Either op_types or op_names must be specified.')\n    return True\n\nclass CompressorSchema:\n    def __init__(self, data_schema, model, logger):\n        assert isinstance(data_schema, list) and len(data_schema) <= 1\n        self.data_schema = data_schema\n        self.compressor_schema = Schema(self._modify_schema(data_schema, model, logger))\n\n    def _modify_schema(self, data_schema, model, logger):\n        if not data_schema:\n            return data_schema\n\n        for k in data_schema[0]:\n            old_schema = data_schema[0][k]\n            if k == 'op_types' or (isinstance(k, Schema) and k._schema == 'op_types'):\n                new_schema = And(old_schema, lambda n: validate_op_types(model, n, logger))\n                data_schema[0][k] = new_schema\n            if k == 'op_names' or (isinstance(k, Schema) and k._schema == 'op_names'):\n                new_schema = And(old_schema, lambda n: validate_op_names(model, n, logger))\n                data_schema[0][k] = new_schema\n\n        data_schema[0] = And(data_schema[0], lambda d: validate_op_types_op_names(d))\n\n        return data_schema\n\n    def validate(self, data):\n        self.compressor_schema.validate(data)\n"
  },
  {
    "path": "src/aup/compression/torch/utils/counter.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport functools\nfrom collections import Counter\nfrom prettytable import PrettyTable\n\nimport torch\nimport torch.nn as nn\nfrom ..compressor import PrunerModuleWrapper\n\n\n__all__ = ['count_flops_params']\n\n\ndef _get_params(m):\n    return sum([p.numel() for p in m.parameters()])\n\n\nclass ModelProfiler:\n\n    def __init__(self, custom_ops=None, mode='default'):\n        \"\"\"\n        ModelProfiler is used to share state to hooks.\n\n        Parameters\n        ----------\n        custom_ops: dict\n            a mapping of (module -> torch.nn.Module : custom operation)\n            the custom operation is a callback funtion to calculate\n            the module flops, parameters and the weight shape, it will overwrite the default operation.\n            for reference, please see ``self.ops``.\n        mode:\n            the mode of how to collect information. If the mode is set to `default`,\n            only the information of convolution and linear will be collected.\n            If the mode is set to `full`, other operations will also be collected.\n        \"\"\"\n        self.ops = {\n            nn.Conv1d: self._count_convNd,\n            nn.Conv2d: self._count_convNd,\n            nn.Conv3d: self._count_convNd,\n            nn.Linear: self._count_linear\n        }\n        self._count_bias = False\n        if mode == 'full':\n            self.ops.update({\n                nn.ConvTranspose1d: self._count_convNd,\n                nn.ConvTranspose2d: self._count_convNd,\n                nn.ConvTranspose3d: self._count_convNd,\n                nn.BatchNorm1d: self._count_bn,\n                nn.BatchNorm2d: self._count_bn,\n                nn.BatchNorm3d: self._count_bn,\n                nn.LeakyReLU: self._count_relu,\n                nn.AvgPool1d: self._count_avgpool,\n                nn.AvgPool2d: self._count_avgpool,\n                nn.AvgPool3d: self._count_avgpool,\n                nn.AdaptiveAvgPool1d: self._count_adap_avgpool,\n                nn.AdaptiveAvgPool2d: self._count_adap_avgpool,\n                nn.AdaptiveAvgPool3d: self._count_adap_avgpool,\n                nn.Upsample: self._count_upsample,\n                nn.UpsamplingBilinear2d: self._count_upsample,\n                nn.UpsamplingNearest2d: self._count_upsample\n            })\n            self._count_bias = True\n\n        if custom_ops is not None:\n            self.ops.update(custom_ops)\n\n        self.mode = mode\n        self.results = []\n\n    def _push_result(self, result):\n        self.results.append(result)\n\n    def _get_result(self, m, flops):\n        # assume weight is called `weight`, otherwise it's not applicable\n        # if user customize the operation, the callback function should\n        # return the dict result, inluding calculated flops, params and weight_shape.\n\n        result = {\n            'flops': flops,\n            'params': _get_params(m),\n            'weight_shape': tuple(m.weight.size()) if hasattr(m, 'weight') else 0,\n        }\n        return result\n\n    def _count_convNd(self, m, x, y):\n        cin = m.in_channels\n        kernel_ops = m.weight.size()[2] * m.weight.size()[3]\n        output_size = torch.zeros(y.size()[2:]).numel()\n        cout = y.size()[1]\n\n        if hasattr(m, 'weight_mask'):\n            cout = m.weight_mask.sum() // (cin * kernel_ops)\n\n        total_ops = cout * output_size * kernel_ops * cin // m.groups  # cout x oW x oH\n\n        if self._count_bias:\n            bias_flops = 1 if m.bias is not None else 0\n            total_ops += cout * output_size * bias_flops\n\n        return self._get_result(m, total_ops)\n\n    def _count_linear(self, m, x, y):\n        out_features = m.out_features\n        if hasattr(m, 'weight_mask'):\n            out_features = m.weight_mask.sum() // m.in_features\n        total_ops = out_features * m.in_features\n\n        if self._count_bias:\n            bias_flops = 1 if m.bias is not None else 0\n            total_ops += out_features * bias_flops\n\n        return self._get_result(m, total_ops)\n\n    def _count_bn(self, m, x, y):\n        total_ops = 2 * x[0].numel()\n        return self._get_result(m, total_ops)\n\n    def _count_relu(self, m, x, y):\n        total_ops = x[0].numel()\n        return self._get_result(m, total_ops)\n\n    def _count_avgpool(self, m, x, y):\n        total_ops = y.numel()\n        return self._get_result(m, total_ops)\n\n    def _count_adap_avgpool(self, m, x, y):\n        kernel = torch.Tensor([*(x[0].shape[2:])]) // torch.Tensor(list((m.output_size,))).squeeze()\n        total_add = int(torch.prod(kernel))\n        total_div = 1\n        kernel_ops = total_add + total_div\n        num_elements = y.numel()\n        total_ops = kernel_ops * num_elements\n\n        return self._get_result(m, total_ops)\n\n    def _count_upsample(self, m, x, y):\n        if m.mode == 'linear':\n            total_ops = y.nelement() * 5  # 2 muls + 3 add\n        elif m.mode == 'bilinear':\n            # https://en.wikipedia.org/wiki/Bilinear_interpolation\n            total_ops = y.nelement() * 11  # 6 muls + 5 adds\n        elif m.mode == 'bicubic':\n            # https://en.wikipedia.org/wiki/Bicubic_interpolation\n            # Product matrix [4x4] x [4x4] x [4x4]\n            ops_solve_A = 224  # 128 muls + 96 adds\n            ops_solve_p = 35  # 16 muls + 12 adds + 4 muls + 3 adds\n            total_ops = y.nelement() * (ops_solve_A + ops_solve_p)\n        elif m.mode == 'trilinear':\n            # https://en.wikipedia.org/wiki/Trilinear_interpolation\n            # can viewed as 2 bilinear + 1 linear\n            total_ops = y.nelement() * (13 * 2 + 5)\n        else:\n            total_ops = 0\n\n        return self._get_result(m, total_ops)\n\n    def count_module(self, m, x, y, name):\n        # assume x is tuple of single tensor\n        result = self.ops[type(m)](m, x, y)\n        total_result = {\n            'name': name,\n            'input_size': tuple(x[0].size()),\n            'output_size': tuple(y.size()),\n            'module_type': type(m).__name__,\n            **result\n        }\n\n        self._push_result(total_result)\n\n    def sum_flops(self):\n        return sum([s['flops'] for s in self.results])\n\n    def sum_params(self):\n        return sum({s['name']: s['params'] for s in self.results}.values())\n\n    def format_results(self):\n        table = PrettyTable()\n        name_counter = Counter([s['name'] for s in self.results])\n        has_multi_use = any(map(lambda v: v > 1, name_counter.values()))\n        name_counter = Counter()  # clear the counter to count from 0\n\n        headers = [\n            'Index',\n            'Name',\n            'Type',\n            'Weight Shape',\n            'FLOPs',\n            '#Params',\n        ]\n        if has_multi_use:\n            headers.append('#Call')\n\n        table.field_names = headers\n        for i, result in enumerate(self.results):\n            row_values = [\n                i,\n                result['name'],\n                result['module_type'],\n                str(result['weight_shape']),\n                result['flops'],\n                result['params'],\n            ]\n            name_counter[result['name']] += 1\n            if has_multi_use:\n                row_values.append(name_counter[result['name']])\n            table.add_row(row_values)\n        return table\n\n\ndef count_flops_params(model, x, custom_ops=None, verbose=True, mode='default'):\n    \"\"\"\n    Count FLOPs and Params of the given model. This function would\n    identify the mask on the module and take the pruned shape into consideration.\n    Note that, for sturctured pruning, we only identify the remained filters\n    according to its mask, and do not take the pruned input channels into consideration,\n    so the calculated FLOPs  will be larger than real number.\n\n    Parameters\n    ---------\n    model : nn.Module\n        Target model.\n    x : tuple or tensor\n        The input shape of data (a tuple), a tensor or a tuple of tensor as input data.\n    custom_ops : dict\n        A mapping of (module -> torch.nn.Module : custom operation)\n        the custom operation is a callback funtion to calculate\n        the module flops and parameters, it will overwrite the default operation.\n        for reference, please see ``ops`` in ``ModelProfiler``.\n    verbose : bool\n        If False, mute detail information about modules. Default is True.\n    mode : str\n        the mode of how to collect information. If the mode is set to ``default``,\n        only the information of convolution and linear will be collected.\n        If the mode is set to ``full``, other operations will also be collected.\n\n    Returns\n    -------\n    tuple of int, int and dict\n        Representing total FLOPs, total parameters, and a detailed list of results respectively.\n        The list of results are a list of dict, each of which contains (name, module_type, weight_shape,\n        flops, params, input_size, output_size) as its keys.\n    \"\"\"\n\n    assert isinstance(x, tuple) or isinstance(x, torch.Tensor)\n    assert mode in ['default', 'full']\n\n    original_device = next(model.parameters()).device\n    training = model.training\n\n    if isinstance(x, tuple) and all(isinstance(t, int) for t in x):\n        x = (torch.zeros(x).to(original_device), )\n    elif torch.is_tensor(x):\n        x = (x.to(original_device), )\n    else:\n        x = (t.to(original_device) for t in x)\n\n    handler_collection = []\n    profiler = ModelProfiler(custom_ops, mode)\n\n    prev_m = None\n    for name, m in model.named_modules():\n        # dealing with weight mask here\n        if isinstance(prev_m, PrunerModuleWrapper):\n            # weight mask is set to weight mask of its parent (wrapper)\n            weight_mask = prev_m.weight_mask\n            m.weight_mask = weight_mask\n        prev_m = m\n\n        if type(m) in profiler.ops:\n            # if a leaf node\n            _handler = m.register_forward_hook(functools.partial(profiler.count_module, name=name))\n            handler_collection.append(_handler)\n\n    model.eval()\n\n    with torch.no_grad():\n        model(*x)\n\n    # restore origin status\n    for name, m in model.named_modules():\n        if hasattr(m, 'weight_mask'):\n            delattr(m, 'weight_mask')\n\n    model.train(training).to(original_device)\n    for handler in handler_collection:\n        handler.remove()\n\n    if verbose:\n        # get detail information\n        print(profiler.format_results())\n        print('FLOPs total: {}'.format(profiler.sum_flops()))\n        print('#Params total: {}'.format(profiler.sum_params()))\n\n    return profiler.sum_flops(), profiler.sum_params(), profiler.results"
  },
  {
    "path": "src/aup/compression/torch/utils/mask_conflict.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\nimport os\nimport logging\nimport torch\nimport numpy as np\nfrom .shape_dependency import ChannelDependency, GroupDependency, CatPaddingDependency, InputChannelDependency\nfrom .utils import get_module_by_name\n# logging.basicConfig(level = logging.DEBUG)\n_logger = logging.getLogger(__name__)\n\n\ndef fix_mask_conflict(masks, model=None, dummy_input=None, traced=None):\n    \"\"\"\n    MaskConflict fix the mask conflict for the channel dependencies\n    and group dependency.\n\n    Parameters\n    ----------\n    masks : dict/str\n        A dict object that stores the masks or the path of the mask file\n    model : torch.nn.Module\n        model to fix the mask conflict\n    dummy_input : torch.Tensor\n        input example to trace the model\n    traced : torch._C.torch.jit.TopLevelTracedModule\n        the traced model of the target model, is this parameter is not None,\n        we donnot use the model and dummpy_input to get the trace graph.\n    \"\"\"\n    if isinstance(masks, str):\n        # if the input is the path of the mask_file\n        assert os.path.exists(masks)\n        masks = torch.load(masks)\n    assert len(masks) > 0,  'Mask tensor cannot be empty'\n    # if the user uses the model and dummy_input to trace the model, we\n    # should get the traced model handly, so that, we only trace the\n    # model once, GroupMaskConflict and ChannelMaskConflict will reuse\n    # this traced model.\n    if traced is None:\n        assert model is not None and dummy_input is not None\n        training = model.training\n        model.eval()\n        # We need to trace the model in eval mode\n        traced = torch.jit.trace(model, dummy_input)\n        model.train(training)\n\n    fix_group_mask = GroupMaskConflict(masks, model, dummy_input, traced)\n    masks = fix_group_mask.fix_mask()\n    fix_channel_mask = ChannelMaskConflict(masks, model, dummy_input, traced)\n    masks = fix_channel_mask.fix_mask()\n    padding_cat_mask = CatMaskPadding(masks, model, dummy_input, traced)\n    masks = padding_cat_mask.fix_mask()\n    return masks, fix_channel_mask.conv_prune_dim\n\n\nclass MaskFix:\n    def __init__(self, masks, model=None, dummy_input=None, traced=None):\n        # check if the parameters are valid\n        parameter_valid = False\n        if traced is not None:\n            parameter_valid = True\n        elif (model is not None) and (dummy_input is not None):\n            parameter_valid = True\n        if not parameter_valid:\n            raise Exception('The input parameters is invalid!')\n        self.model = model\n        self.dummy_input = dummy_input\n        self.traced = traced\n        self.masks = masks\n\n    def fix_mask(self):\n        raise NotImplementedError\n\n    def export(self, path):\n        \"\"\"\n        Export the masks after fixing the conflict to file.\n        \"\"\"\n        torch.save(self.masks, path)\n\n\nclass CatMaskPadding(MaskFix):\n    def __init__(self, masks, model, dummy_input=None, traced=None):\n        \"\"\"\n        CatMaskPadding find the layers whose output tensor is passed\n        to the same cat operation. The cat operation concatnates the\n        masks of the input tensors as the output mask, so when some\n        of the input layers of the cat operation are not pruned, we still\n        need to pass the masks of these non-pruned layers(the mask are\n        all ones) to the cat operation to ensure the shape of the output\n        mask is right.\n\n        Parameters\n        ----------\n        masks : dict\n            a dict object that stores the masks\n        model : torch.nn.Module\n            model to fix the mask conflict\n        dummy_input : torch.Tensor\n            input example to trace the model\n        traced : torch._C.torch.jit.TopLevelTracedModule\n            the traced model of the target model, is this parameter is not None,\n            we donnot use the model and dummpy_input to get the trace graph.\n        \"\"\"\n        super(CatMaskPadding, self).__init__(masks, model, dummy_input, traced)\n\n    def fix_mask(self):\n        cat_padding_depen = CatPaddingDependency(\n            self.model, self.dummy_input, self.traced)\n        name_to_module = {}\n        for name, module in self.model.named_modules():\n            name_to_module[name] = module\n        depen = cat_padding_depen.dependency_sets\n        for layers in depen:\n            device = None\n            count = 0\n            for layer in layers:\n                if layer in self.masks:\n                    count += 1\n                    if device is None:\n                        device = self.masks[layer]['weight'].device\n            if count == 0:\n                # no layer is pruned\n                continue\n            elif count == len(layers):\n                # all the layers have been pruned\n                continue\n            # pad the mask for the non-pruned layers\n            for layer in layers:\n                if layer in self.masks:\n                    continue\n\n                module = name_to_module[layer]\n                w_shape = module.weight.data.size()\n                w_mask = torch.ones(w_shape).to(device)\n                b_mask = None\n                if hasattr(module, 'bias') and module.bias is not None:\n                    # module.bias may be None\n                    b_shape = module.bias.data.size()\n                    b_mask = torch.ones(b_shape).to(device)\n                self.masks[layer] = {'weight': w_mask, 'bias': b_mask}\n\n        return self.masks\n\n\nclass GroupMaskConflict(MaskFix):\n    def __init__(self, masks, model=None, dummy_input=None, traced=None):\n        \"\"\"\n        GroupMaskConflict fix the mask conflict between the layers that\n        has group dependecy with each other.\n\n        Parameters\n        ----------\n        masks : dict\n            a dict object that stores the masks\n        model : torch.nn.Module\n            model to fix the mask conflict\n        dummy_input : torch.Tensor\n            input example to trace the model\n        traced : torch._C.torch.jit.TopLevelTracedModule\n            the traced model of the target model, is this parameter is not None,\n            we donnot use the model and dummpy_input to get the trace graph.\n        \"\"\"\n        super(GroupMaskConflict, self).__init__(\n            masks, model, dummy_input, traced)\n\n    def fix_mask(self):\n        \"\"\"\n        Fix the mask conflict before the mask inference for the layers that\n        has group dependencies. This function should be called before the\n        mask inference of the 'speedup' module.\n        \"\"\"\n        group_depen = GroupDependency(\n            self.model, self.dummy_input, self.traced)\n        depens = group_depen.dependency\n        _logger.info(depens)\n        for layername in depens:\n            group = depens[layername]\n            if layername not in self.masks:\n                # this layer not pruned\n                continue\n            w_mask = self.masks[layername]['weight']\n            shape = w_mask.size()\n            count = np.prod(shape[1:])\n            all_ones = (w_mask.flatten(1).sum(-1) ==\n                        count).nonzero().squeeze(1).tolist()\n            all_zeros = (w_mask.flatten(1).sum(-1) ==\n                         0).nonzero().squeeze(1).tolist()\n            if len(all_ones) + len(all_zeros) < w_mask.size(0):\n                # In fine-grained pruning, skip this layer\n                _logger.info('Layers %s using fine-grained pruning', layername)\n                continue\n            assert shape[0] % group == 0\n            # Find the number of masked filter for each group (mini_masked).\n            # Because we have to keep the pruned filter can still\n            # be divided into the same number of groups, so we only can\n            # prune mini_masked filters for each group.\n            step = shape[0] / group\n            group_masked = []\n            for i in range(group):\n                _start = step * i\n                _end = step * (i+1)\n                _tmp_list = list(\n                    filter(lambda x: _start <= x and x < _end, all_zeros))\n                group_masked.append(_tmp_list)\n            mini_masked = min([len(x) for x in group_masked])\n            for gm in group_masked:\n                for i in range(mini_masked, len(gm)):\n                    # To keep the output channel number still being divisible to\n                    # groups, we set the masks of following filters to be zero.\n                    pos = gm[i]\n                    self.masks[layername]['weight'][pos] = torch.ones(\n                        shape[1:])\n                    if 'bias' in self.masks[layername] and self.masks[layername]['bias'] is not None:\n                        self.masks[layername]['bias'][pos] = 1\n        return self.masks\n\n\nclass ChannelMaskConflict(MaskFix):\n    def __init__(self, masks, model=None, dummy_input=None, traced=None):\n        \"\"\"\n        ChannelMaskConflict fix the mask conflict between the layers that\n        has channel dependecy with each other.\n\n        Parameters\n        ----------\n        masks : dict\n            a dict object that stores the masks\n        model : torch.nn.Module\n            model to fix the mask conflict\n        dummy_input : torch.Tensor\n            input example to trace the model\n        graph : torch._C.torch.jit.TopLevelTracedModule\n            the traced graph of the target model, is this parameter is not None,\n            we donnot use the model and dummpy_input to get the trace graph.\n        \"\"\"\n        super(ChannelMaskConflict, self).__init__(\n            masks, model, dummy_input, traced)\n        self.conv_prune_dim = detect_mask_prune_dim(masks, model)\n        _logger.info('detected conv prune dim: %s', self.conv_prune_dim)\n\n    def fix_mask(self):\n        \"\"\"\n        Fix the mask conflict before the mask inference for the layers that\n        has shape dependencies. This function should be called before the\n        mask inference of the 'speedup' module. Only structured pruning masks\n        are supported.\n        \"\"\"\n        if self.conv_prune_dim == 0:\n            channel_depen = ChannelDependency(\n                self.model, self.dummy_input, self.traced)\n        else:\n            channel_depen = InputChannelDependency(\n                self.model, self.dummy_input, self.traced)\n        depen_sets = channel_depen.dependency_sets\n        sum_idx = (1, 2, 3) if self.conv_prune_dim == 0 else (0, 2, 3)\n\n        (_tmp_name, _tmp_tensor) = list(self.masks.items())[0]\n        device = _tmp_tensor['weight'].device\n\n        for dset in depen_sets:\n            if len(dset) <= 1:\n                continue\n            # channel_masks is a list, each element is None or a vector, for example:\n            # [[0, 1, 1, 0, 0], [0, 0, 1, 1, 0], None], None means no channel\n            # is pruned.\n            channel_masks = []\n            fine_grained = False\n            for name in dset:\n                if name in self.masks:\n                    _, m = get_module_by_name(self.model, name)\n                    assert m is not None\n                    mask = self.masks[name]['weight']\n                    if type(m).__name__ == 'Conv2d':\n                        channel_mask = (mask.abs().sum(sum_idx) != 0).int()\n                        channel_masks.append(channel_mask)\n                        if (channel_mask.sum() * (mask.numel() / mask.shape[self.conv_prune_dim])).item() != (mask > 0).sum().item():\n                            fine_grained = True\n                    elif type(m).__name__ == 'Linear':\n                        channel_masks.append((mask.abs().sum(0) != 0).int())\n                    elif type(m).__name__ == 'BatchNorm2d':\n                        channel_masks.append(mask.int())\n                    elif type(m).__name__ == 'ConvTranspose2d':\n                        # convtranspose have difference memory layout, so that we need create\n                        # a tmp_sum_idx for conv_transpose\n                        tmp_sum_idx = (\n                            0, 2, 3) if self.conv_prune_dim == 0 else (1, 2, 3)\n                        channel_mask = (mask.abs().sum(tmp_sum_idx) != 0).int()\n                        channel_masks.append(channel_mask)\n                        if (channel_mask.sum() * (mask.numel() / mask.shape[1-self.conv_prune_dim])).item() != (mask > 0).sum().item():\n                            fine_grained = True\n                    else:\n                        raise RuntimeError('unsupported module type: {}'.format(type(m).__name__))\n                else:\n                    # no mask means not pruned, equivlent to full masks\n                    channel_masks.append(None)\n            if fine_grained:\n                _logger.info(\n                    'fine-grained mask detected, skip solving conflict for this set: %s', dset)\n                continue\n            if all(x is None for x in channel_masks):\n                continue\n            num_channels_list = [len(x)\n                                 for x in channel_masks if x is not None]\n            # number of channels in same set should be identical\n            assert len(set(num_channels_list)) == 1\n            num_channels = num_channels_list[0]\n\n            for i, dim_mask in enumerate(channel_masks):\n                if dim_mask is None:\n                    channel_masks[i] = torch.ones(num_channels).int().to(device)\n\n            # merge masks with 'or'\n            merged_channel_mask = channel_masks[0].clone()\n            for i in range(1, len(channel_masks)):\n                merged_channel_mask = (\n                    (merged_channel_mask + channel_masks[i]) != 0).int()\n\n            merged_index = torch.nonzero(merged_channel_mask, as_tuple=True)[0]\n\n            for name in dset:\n                if name not in self.masks:\n                    assert all(merged_channel_mask)\n                    continue\n                orig_mask = self.masks[name]['weight']\n                _, m = get_module_by_name(self.model, name)\n                new_mask = torch.zeros_like(orig_mask)\n                if type(m).__name__ == 'Conv2d':\n                    if self.conv_prune_dim == 0:\n                        new_mask[merged_index, :, :, :] = 1.\n                    else:\n                        new_mask[:, merged_index, :, :] = 1.\n                elif type(m).__name__ == 'Linear':\n                    new_mask[:, merged_index] = 1.\n                elif type(m).__name__ == 'BatchNorm2d':\n                    new_mask = merged_index.type_as(orig_mask)\n                else:\n                    raise RuntimeError('unsupported module type: {}'.format(type(m).__name__))\n\n                self.masks[name]['weight'] = new_mask\n                if 'bias' in self.masks[name] and self.masks[name]['bias'] is not None:\n                    if type(m).__name__ == 'Conv2d':\n                        assert self.conv_prune_dim == 0\n                    self.masks[name]['bias'] = merged_channel_mask.type_as(\n                        self.masks[name]['bias'])\n\n        return self.masks\n\n\ndef detect_mask_prune_dim(masks, model):\n    \"\"\"\n    Detect how the masks of convolutional layers are pruned.\n\n    Parameters\n    ----------\n    masks: dict\n        A dict object that stores the masks.\n    model: nn.Module\n        Model object which the mask can be applied on.\n\n    Returns:\n    -------\n        How the masks of convolutional layers are pruned, this depends on pruning algorithms, it should\n        return 1 for masks generated by AMCPruner, and returns 0 for masks generated by the rest\n        NNI builtin pruners.\n        0: filter pruning, prune filters of weights which causes channels of output feature maps are pruned.\n        1: channel pruning, prune kernels corresponding to each input channels which causes channels of\n           input feature maps are pruned.\n    \"\"\"\n    dim0_preserved, dim1_preserved = 0., 0.\n    dim0_num, dim1_num = 0., 0.\n    for module_name in masks:\n        _, m = get_module_by_name(model, module_name)\n        if m is None or type(m).__name__ != 'Conv2d':\n            continue\n\n        mask = masks[module_name]['weight'].clone()\n        assert (mask >= 0).sum() == mask.numel(), \\\n            \"mask values should be greater than or equal to 0.\"\n        mask = (mask > 0).int()\n        mask = mask.view(mask.shape[0], mask.shape[1], -1)\n        dim0_mask = (mask.sum((1, 2)) > 0).int()\n        dim1_mask = (mask.sum((0, 2)) > 0).int()\n        dim0_preserved += dim0_mask.sum().item()\n        dim1_preserved += dim1_mask.sum().item()\n        dim0_num += len(dim0_mask)\n        dim1_num += len(dim1_mask)\n\n    if dim0_num == 0 or dim1_num == 0:\n        _logger.warning('no multi-dimension masks found.')\n        return 0\n\n    dim0_sparsity, dim1_sparsity = 1. - dim0_preserved / \\\n        dim0_num, 1. - dim1_preserved / dim1_num\n    _logger.info('dim0 sparsity: %f', dim0_sparsity)\n    _logger.info('dim1 sparsity: %f', dim1_sparsity)\n\n    if dim0_sparsity == dim1_sparsity == 0.:\n        _logger.warning('nothing masked.')\n\n    if dim0_sparsity > 0 and dim1_sparsity > 0:\n        _logger.warning('both dim0 and dim1 masks found.')\n\n    return 0 if dim0_sparsity >= dim1_sparsity else 1\n"
  },
  {
    "path": "src/aup/compression/torch/utils/num_param_counter.py",
    "content": "def get_total_num_weights(model, op_types=['default']):\n        '''\n        calculate the total number of weights\n\n        Returns\n        -------\n        int\n            total weights of all the op considered\n        '''\n        num_weights = 0\n        for _, module in model.named_modules():\n            if module == model:\n                continue\n            if 'default' in op_types or type(module).__name__ in op_types:\n                num_weights += module.weight.data.numel()\n        return num_weights"
  },
  {
    "path": "src/aup/compression/torch/utils/sensitivity_analysis.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport copy\nimport csv\nimport logging\nfrom collections import OrderedDict\n\nimport numpy as np\nimport torch.nn as nn\n\nSUPPORTED_OP_NAME = ['Conv2d', 'Conv1d']\nSUPPORTED_OP_TYPE = [getattr(nn, name) for name in SUPPORTED_OP_NAME]\n\nlogger = logging.getLogger('Sensitivity_Analysis')\nlogger.setLevel(logging.INFO)\n\n\nclass SensitivityAnalysis:\n    def __init__(self, model, val_func, sparsities=None, prune_type='l1', early_stop_mode=None, early_stop_value=None):\n        \"\"\"\n        Perform sensitivity analysis for this model.\n        Parameters\n        ----------\n        model : torch.nn.Module\n            the model to perform sensitivity analysis\n        val_func : function\n            validation function for the model. Due to\n            different models may need different dataset/criterion\n            , therefore the user need to cover this part by themselves.\n            In the val_func, the model should be tested on the validation dateset,\n            and the validation accuracy/loss should be returned as the output of val_func.\n            There are no restrictions on the input parameters of the val_function.\n            User can use the val_args, val_kwargs parameters in analysis\n            to pass all the parameters that val_func needed.\n        sparsities : list\n            The sparsity list provided by users. This parameter is set when the user\n            only wants to test some specific sparsities. In the sparsity list, each element\n            is a sparsity value which means how much weight the pruner should prune. Take\n            [0.25, 0.5, 0.75] for an example, the SensitivityAnalysis will prune 25% 50% 75%\n            weights gradually for each layer.\n        prune_type : str\n            The pruner type used to prune the conv layers, default is 'l1',\n            and 'l2', 'fine-grained' is also supported.\n        early_stop_mode : str\n            If this flag is set, the sensitivity analysis\n            for a conv layer will early stop when the validation metric(\n            for example, accurracy/loss) has alreay meet the threshold. We\n            support four different early stop modes: minimize, maximize, dropped,\n            raised. The default value is None, which means the analysis won't stop\n            until all given sparsities are tested. This option should be used with\n            early_stop_value together.\n\n            minimize: The analysis stops when the validation metric return by the val_func\n            lower than early_stop_value.\n            maximize: The analysis stops when the validation metric return by the val_func\n            larger than early_stop_value.\n            dropped: The analysis stops when the validation metric has dropped by early_stop_value.\n            raised: The analysis stops when the validation metric has raised by early_stop_value.\n        early_stop_value : float\n            This value is used as the threshold for different earlystop modes.\n            This value is effective only when the early_stop_mode is set.\n\n        \"\"\"\n        from ..pruning.constants_pruner import PRUNER_DICT\n\n        self.model = model\n        self.val_func = val_func\n        self.target_layer = OrderedDict()\n        self.ori_state_dict = copy.deepcopy(self.model.state_dict())\n        self.target_layer = {}\n        self.sensitivities = {}\n        if sparsities is not None:\n            self.sparsities = sorted(sparsities)\n        else:\n            self.sparsities = np.arange(0.1, 1.0, 0.1)\n        self.sparsities = [np.round(x, 2) for x in self.sparsities]\n        self.Pruner = PRUNER_DICT[prune_type]\n        self.early_stop_mode = early_stop_mode\n        self.early_stop_value = early_stop_value\n        self.ori_metric = None  # original validation metric for the model\n        # already_pruned is for the iterative sensitivity analysis\n        # For example, sensitivity_pruner iteratively prune the target\n        # model according to the sensitivity. After each round of\n        # pruning, the sensitivity_pruner will test the new sensitivity\n        # for each layer\n        self.already_pruned = {}\n        self.model_parse()\n\n    @property\n    def layers_count(self):\n        return len(self.target_layer)\n\n    def model_parse(self):\n        for name, submodel in self.model.named_modules():\n            for op_type in SUPPORTED_OP_TYPE:\n                if isinstance(submodel, op_type):\n                    self.target_layer[name] = submodel\n                    self.already_pruned[name] = 0\n\n    def _need_to_stop(self, ori_metric, cur_metric):\n        \"\"\"\n        Judge if meet the stop conditon(early_stop, min_threshold,\n        max_threshold).\n        Parameters\n        ----------\n        ori_metric : float\n            original validation metric\n        cur_metric : float\n            current validation metric\n\n        Returns\n        -------\n        stop : bool\n            if stop the sensitivity analysis\n        \"\"\"\n        if self.early_stop_mode is None:\n            # early stop mode is not enable\n            return False\n        assert self.early_stop_value is not None\n        if self.early_stop_mode == 'minimize':\n            if cur_metric < self.early_stop_value:\n                return True\n        elif self.early_stop_mode == 'maximize':\n            if cur_metric > self.early_stop_value:\n                return True\n        elif self.early_stop_mode == 'dropped':\n            if cur_metric < ori_metric - self.early_stop_value:\n                return True\n        elif self.early_stop_mode == 'raised':\n            if cur_metric > ori_metric + self.early_stop_value:\n                return True\n        return False\n\n    def analysis(self, val_args=None, val_kwargs=None, specified_layers=None):\n        \"\"\"\n        This function analyze the sensitivity to pruning for\n        each conv layer in the target model.\n        If start and end are not set, we analyze all the conv\n        layers by default. Users can specify several layers to\n        analyze or parallelize the analysis process easily through\n        the start and end parameter.\n\n        Parameters\n        ----------\n        val_args : list\n            args for the val_function\n        val_kwargs : dict\n            kwargs for the val_funtion\n        specified_layers : list\n            list of layer names to analyze sensitivity.\n            If this variable is set, then only analyze\n            the conv layers that specified in the list.\n            User can also use this option to parallelize\n            the sensitivity analysis easily.\n        Returns\n        -------\n        sensitivities : dict\n            dict object that stores the trajectory of the\n            accuracy/loss when the prune ratio changes\n        \"\"\"\n        if val_args is None:\n            val_args = []\n        if val_kwargs is None:\n            val_kwargs = {}\n        # Get the original validation metric(accuracy/loss) before pruning\n        # Get the accuracy baseline before starting the analysis.\n        self.ori_metric = self.val_func(*val_args, **val_kwargs)\n        namelist = list(self.target_layer.keys())\n        if specified_layers is not None:\n            # only analyze several specified conv layers\n            namelist = list(filter(lambda x: x in specified_layers, namelist))\n        for name in namelist:\n            self.sensitivities[name] = {}\n            for sparsity in self.sparsities:\n                # here the sparsity is the relative sparsity of the\n                # the remained weights\n                # Calculate the actual prune ratio based on the already pruned ratio\n                real_sparsity = (\n                    1.0 - self.already_pruned[name]) * sparsity + self.already_pruned[name]\n                # TODO In current L1/L2 Filter Pruner, the 'op_types' is still necessary\n                # I think the L1/L2 Pruner should specify the op_types automaticlly\n                # according to the op_names\n                cfg = [{'sparsity': real_sparsity, 'op_names': [\n                    name], 'op_types': ['Conv2d']}]\n                pruner = self.Pruner(self.model, cfg)\n                pruner.compress()\n                val_metric = self.val_func(*val_args, **val_kwargs)\n                logger.info('Layer: %s Sparsity: %.2f Validation Metric: %.4f',\n                            name, real_sparsity, val_metric)\n\n                self.sensitivities[name][sparsity] = val_metric\n                pruner._unwrap_model()\n                del pruner\n                # check if the current metric meet the stop condition\n                if self._need_to_stop(self.ori_metric, val_metric):\n                    break\n\n            # reset the weights pruned by the pruner, because the\n            # input sparsities is sorted, so we donnot need to reset\n            # weight of the layer when the sparsity changes, instead,\n            # we only need reset the weight when the pruning layer changes.\n            self.model.load_state_dict(self.ori_state_dict)\n\n        return self.sensitivities\n\n    def export(self, filepath):\n        \"\"\"\n        Export the results of the sensitivity analysis\n        to a csv file. The firstline of the csv file describe the content\n        structure. The first line is constructed by 'layername' and sparsity\n        list. Each line below records the validation metric returned by val_func\n        when this layer is under different sparsities. Note that, due to the early_stop\n        option, some layers may not have the metrics under all sparsities.\n\n        layername, 0.25, 0.5, 0.75\n        conv1, 0.6, 0.55\n        conv2, 0.61, 0.57, 0.56\n\n        Parameters\n        ----------\n        filepath : str\n            Path of the output file\n        \"\"\"\n        str_sparsities = [str(x) for x in self.sparsities]\n        header = ['layername'] + str_sparsities\n        with open(filepath, 'w') as csvf:\n            csv_w = csv.writer(csvf)\n            csv_w.writerow(header)\n            for layername in self.sensitivities:\n                row = []\n                row.append(layername)\n                for sparsity in sorted(self.sensitivities[layername].keys()):\n                    row.append(self.sensitivities[layername][sparsity])\n                csv_w.writerow(row)\n\n    def update_already_pruned(self, layername, ratio):\n        \"\"\"\n        Set the already pruned ratio for the target layer.\n        \"\"\"\n        self.already_pruned[layername] = ratio\n\n    def load_state_dict(self, state_dict):\n        \"\"\"\n        Update the weight of the model\n        \"\"\"\n        self.ori_state_dict = copy.deepcopy(state_dict)\n        self.model.load_state_dict(self.ori_state_dict)\n"
  },
  {
    "path": "src/aup/compression/torch/utils/shape_dependency.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\nimport csv\nimport logging\n\n__all__ = ['ChannelDependency', 'GroupDependency',\n           'CatPaddingDependency', 'InputChannelDependency']\n\nCONV_TYPE = 'aten::_convolution'\nADD_TYPES = ['aten::add', 'aten::add_']\nCAT_TYPE = 'aten::cat'\nlogger = logging.getLogger('Shape_Dependency')\nRESHAPE_OPS = [CAT_TYPE, 'aten::view',\n               'aten::reshape', 'aten::flatten', 'aten::mean']\n\n\nclass Dependency:\n    def __init__(self, model=None, dummy_input=None, traced_model=None):\n        \"\"\"\n        Build the graph for the model.\n        \"\"\"\n        from aup.compression.torch._graph_utils import TorchModuleGraph\n\n        # check if the input is legal\n        if traced_model is None:\n            # user should provide model & dummy_input to trace\n            # the model or a already traced model\n            assert model is not None and dummy_input is not None\n        self.graph = TorchModuleGraph(model, dummy_input, traced_model)\n        self.dependency = dict()\n        self.build_dependency()\n\n    def build_dependency(self):\n        raise NotImplementedError\n\n    def export(self, filepath):\n        raise NotImplementedError\n\n\nclass ChannelDependency(Dependency):\n    def __init__(self, model=None, dummy_input=None, traced_model=None):\n        \"\"\"\n        This model analyze the channel dependencies between the conv\n        layers in a model.\n\n        Parameters\n        ----------\n        model : torch.nn.Module\n            The model to be analyzed.\n        data : torch.Tensor\n            The example input data to trace the network architecture.\n        traced_model : torch._C.Graph\n            if we alreay has the traced graph of the target model, we donnot\n            need to trace the model again.\n        \"\"\"\n        super(ChannelDependency, self).__init__(\n            model, dummy_input, traced_model)\n\n    def _get_parent_layers(self, node):\n        \"\"\"\n        Find the nearest father conv layers for the target node.\n\n        Parameters\n        ---------\n        node : torch._C.Node\n            target node.\n\n        Returns\n        -------\n        parent_layers: list\n            nearest father conv/linear layers for the target worknode.\n        \"\"\"\n        parent_layers = []\n        queue = []\n        queue.append(node)\n        while queue:\n            curnode = queue.pop(0)\n            if curnode.op_type == 'Conv2d' or curnode.op_type == 'Linear' or curnode.op_type == 'ConvTranspose2d':\n                # find the first met conv\n                parent_layers.append(curnode.name)\n                continue\n            parents = self.graph.find_predecessors(curnode.unique_name)\n            parents = [self.graph.name_to_node[name] for name in parents]\n            for parent in parents:\n                queue.append(parent)\n        return parent_layers\n\n    def build_dependency(self):\n        \"\"\"\n        Build the channel dependency for the conv layers\n        in the model.\n        \"\"\"\n        # unpack the tuple/list manually before analyze the\n        # channel dependency\n        self.graph.unpack_manually()\n        for node in self.graph.nodes_py.nodes_op:\n            parent_layers = []\n            # find the node that contains aten::add\n            # or aten::cat operations\n            if node.op_type in ADD_TYPES:\n                parent_layers = self._get_parent_layers(node)\n            elif node.op_type == CAT_TYPE:\n                # To determine if this cat operation will introduce channel\n                # dependency, we need the specific input parameters of the cat\n                # opertion. To get the input parameters of the cat opertion, we\n                # need to traverse all the cpp_nodes included by this NodePyGroup,\n                # because, TorchModuleGraph merges the important nodes and the adjacent\n                # unimportant nodes (nodes started with prim::attr, for example) into a\n                # NodepyGroup.\n                cat_dim = None\n                for cnode in node.node_cpps:\n                    if cnode.kind() == CAT_TYPE:\n                        cat_dim = list(cnode.inputs())[1].toIValue()\n                        break\n                if cat_dim != 1:\n                    parent_layers = self._get_parent_layers(node)\n            dependency_set = set(parent_layers)\n            # merge the dependencies\n            for parent in parent_layers:\n                if parent in self.dependency:\n                    dependency_set.update(self.dependency[parent])\n            # save the dependencies\n            for _node in dependency_set:\n                self.dependency[_node] = dependency_set\n\n    def export(self, filepath):\n        \"\"\"\n        export the channel dependencies as a csv file.\n        The layers at the same line have output channel\n        dependencies with each other. For example,\n        layer1.1.conv2, conv1, and layer1.0.conv2 have\n        output channel dependencies with each other, which\n        means the output channel(filters) numbers of these\n        three layers should be same with each other, otherwise\n        the model may has shape conflict.\n\n        Output example:\n        Dependency Set,Convolutional Layers\n        Set 1,layer1.1.conv2,layer1.0.conv2,conv1\n        Set 2,layer1.0.conv1\n        Set 3,layer1.1.conv1\n        \"\"\"\n        header = ['Dependency Set', 'Layers']\n        setid = 0\n        visited = set()\n        with open(filepath, 'w') as csvf:\n            csv_w = csv.writer(csvf, delimiter=',')\n            csv_w.writerow(header)\n            for node in self.graph.nodes_py.nodes_op:\n                if node.op_type != 'Conv2d' or node in visited:\n                    continue\n                setid += 1\n                row = ['Set %d' % setid]\n                if node.name not in self.dependency:\n                    visited.add(node)\n                    row.append(node.name)\n                else:\n                    for other in self.dependency[node.name]:\n                        visited.add(self.graph.name_to_node[other])\n                        row.append(other)\n                csv_w.writerow(row)\n\n    @property\n    def dependency_sets(self):\n        \"\"\"\n        Get the list of the dependency set.\n\n        Returns\n        -------\n        dependency_sets : list\n            list of the dependency sets. For example,\n            [set(['conv1', 'conv2']), set(['conv3', 'conv4'])]\n\n        \"\"\"\n        d_sets = []\n        visited = set()\n        for node in self.graph.nodes_py.nodes_op:\n            if node.op_type != 'Conv2d' or node in visited:\n                continue\n            tmp_set = set()\n            if node.name not in self.dependency:\n                visited.add(node)\n                tmp_set.add(node.name)\n            else:\n                for other in self.dependency[node.name]:\n                    visited.add(self.graph.name_to_node[other])\n                    tmp_set.add(other)\n            d_sets.append(tmp_set)\n        return d_sets\n\n\ndef reshape_break_channel_dependency(op_node):\n    \"\"\"\n    The reshape operations such as (reshape, view, flatten) may break\n    the channel dependency. We need to check the input parameters of\n    these reshape operations to check if this reshape node will break\n    the channel dependency. However, it's complicated to analyze the the input\n    parameters for each reshape function and infer if it will break the channel\n    dependency. So currently, we just check if the input channel and the output\n    channel is the same, if so, then we can say the original reshape function\n    doesn't want to change the number of the channels, which means the channel\n    dependency is not broken. In contrast, the original reshap operation wants\n    to change the number of channels, so it breaks the channel dependency.\n\n    Parameters\n    ----------\n    opnode: NodePyOP\n        A Op node of the graph.\n    Returns\n    -------\n    bool\n        If this operation will break the channel dependency.\n    \"\"\"\n    in_shape = op_node.auxiliary['in_shape']\n    out_shape = op_node.auxiliary['out_shape']\n    in_channel = in_shape[1]\n    out_channel = out_shape[1]\n    return in_channel != out_channel\n\n\nclass InputChannelDependency(ChannelDependency):\n    \"\"\"\n    Some pruners may prune the input channel of the convolutional\n    layers. While pruning the input channel of the convolutional layers,\n    the layers that share the same input tensor should prune the same\n    channels, and we say these layers that share the same input tensor/channel\n    has the input channel dependency. If we only prune the input channel of one\n    layer in the dependency set, there will be a shape conflict for the other\n    layers in the same dependency set, which may trigger a runtime error.\n    Here we judge whether the application will truncate the dependency by analyzing\n    whether the number of channels before and after the operation has changed.\n    If not, the input channel dependency will be passed to the following nodes.\n    \"\"\"\n\n    def __init__(self, model, dummy_input=None, traced_model=None):\n        \"\"\"\n        This model analyze the input channel dependencies between the conv\n        layers in a model.\n\n        Parameters\n        ----------\n        model : torch.nn.Module\n            The model to be analyzed.\n        data : torch.Tensor\n            The example input data to trace the network architecture.\n        traced_model : torch._C.Graph\n            if we alreay has the traced graph of the target model, we donnot\n            need to trace the model again.\n        \"\"\"\n        super(InputChannelDependency, self).__init__(\n            model, dummy_input, traced_model)\n\n    def _get_following_convs(self, tensor):\n        queue = []\n        key_layers = []\n        queue.extend(self.graph.input_to_node[tensor])\n        while queue:\n            curnode = queue.pop(0)\n            if curnode.op_type == 'Conv2d' or curnode.op_type == 'Linear' or curnode.op_type == 'ConvTranspose2d':\n                # find the first met conv\n                key_layers.append(curnode.name)\n                continue\n            elif curnode.op_type in RESHAPE_OPS:\n                # check if the reshape operation will break the channel dependency\n                if reshape_break_channel_dependency(curnode):\n                    # reshape operations also breaks the dependency relationship\n                    continue\n            successors = self.graph.find_successors(curnode.unique_name)\n            successors = [self.graph.name_to_node[name] for name in successors]\n            for layer in successors:\n                queue.append(layer)\n        return key_layers\n\n    def build_dependency(self):\n        \"\"\"\n        Build the input channel dependencies.\n        The `InputChannelDependency` indicates the layers that have\n        dependencies when pruning the input channel of the conv layers.\n        In contrast, `ChannelDependency` indicates the dependent layers\n        when pruning the output channles of conv layers (for example, L1FilterPruner).\n        \"\"\"\n        # unpack the tuple or list manually\n        self.graph.unpack_manually()\n        for tensor in self.graph.input_to_node:\n            # start from this tensor, find all the conv layers that\n            # take this tensor as input. Similar to the `ChannelDependency`\n            # the conv layer will truncate the dependencies\n            layers = self._get_following_convs(tensor)\n            dependency_set = set(layers)\n            for layer in layers:\n                if layer in self.dependency:\n                    dependency_set.update(self.dependency[layer])\n            for layer in dependency_set:\n                self.dependency[layer] = dependency_set\n\n\nclass CatPaddingDependency(ChannelDependency):\n    def __init__(self, model=None, dummy_input=None, traced_model=None):\n        super(CatPaddingDependency, self).__init__(\n            model, dummy_input, traced_model)\n\n    def build_dependency(self):\n        \"\"\"\n        Build the cat padding dependencies.\n        If the output features of several layers are stitched together\n        by cat operation, then these layers have cat padding dependencies.\n        This is because when inferring the cat mask, we need all the input\n        masks for the cat operation. At this time we need to know the source\n        of all input vectors of a cat operation.\n        \"\"\"\n        for node in self.graph.nodes_py.nodes_op:\n            parent_layers = []\n            if node.op_type == CAT_TYPE:\n                parent_layers = self._get_parent_layers(node)\n                dependency_set = set(parent_layers)\n                # merge the dependencies\n                for parent in parent_layers:\n                    if parent in self.dependency:\n                        dependency_set.update(self.dependency[parent])\n                # save the dependencies\n                for _node in dependency_set:\n                    self.dependency[_node] = dependency_set\n\n    @property\n    def dependency_sets(self):\n        d_sets = []\n        visited = set()\n        for nodename in self.dependency:\n            if nodename in visited:\n                continue\n            d_sets.append(self.dependency[nodename])\n        return d_sets\n\n    def export(self, filepath):\n        \"\"\"\n        Export the dependencies into a file.\n        In the output file, each line contains a set of layers\n        whose output features are stitched together by the cat\n        operation.\n\n        output example:\n        Dependency Set, Layers\n        set1, Conv1, Conv2\n        set2, Conv3, Conv4\n        \"\"\"\n        header = ['Dependency Set', 'Layers']\n        setid = 0\n        with open(filepath, 'w') as csvf:\n            csv_w = csv.writer(csvf, delimiter=',')\n            csv_w.writerow(header)\n            for layers in self.dependency_sets:\n                setid += 1\n                row = ['Set %d' % setid]\n                row.extend(list(layers))\n                csv_w.writerow(row)\n\n\nclass GroupDependency(Dependency):\n    def __init__(self, model=None, dummy_input=None, traced_model=None):\n        \"\"\"\n        This model analyze the group dependencis between the conv\n        layers in a model.\n\n        Parameters\n        ----------\n        model : torch.nn.Module\n            The model to be analyzed.\n        data : torch.Tensor\n            The example input data to trace the network architecture.\n        traced_model : torch._C.Graph\n            if we alreay has the traced graph of the target model, we donnot\n            need to trace the model again.\n        \"\"\"\n        super(GroupDependency, self).__init__(model, dummy_input, traced_model)\n\n    def _get_parent_convs(self, node):\n        \"\"\"\n        Find the nearest father conv layers for the target node.\n\n        Parameters\n        ---------\n        node : torch._C.Node\n            target node.\n\n        Returns\n        -------\n        parent_layers : list\n            nearest father conv layers for the target node. Due to the group\n            dependency only exists between the conv layers, so we only find\n            the parent conv layers.\n        \"\"\"\n        parent_layers = []\n        # the input node is a Conv node\n        predeessors = self.graph.find_predecessors(node.unique_name)\n        predeessors = [self.graph.name_to_node[x] for x in predeessors]\n        queue = predeessors\n        while queue:\n            curnode = queue.pop(0)\n            if curnode.op_type == 'Conv2d' or curnode.op_type == 'ConvTranspose2d':\n                # find the first met conv\n                parent_layers.append(curnode.name)\n                continue\n            parents = self.graph.find_predecessors(curnode.unique_name)\n            parents = [self.graph.name_to_node[name] for name in parents]\n            for parent in parents:\n                queue.append(parent)\n        return parent_layers\n\n    def _get_conv_groups(self, node_group):\n        \"\"\"\n        Get the number of groups for a convolutional layer.\n\n        Parameters\n        ----------\n        node_group : NodePyGroup\n            target node.\n\n        Returns\n        -------\n        group : int\n            the number of the groups of the target conv layer.\n        \"\"\"\n        cpp_conv = list(filter(lambda x: x.kind() ==\n                               CONV_TYPE, node_group.node_cpps))\n        assert len(cpp_conv) == 1\n        cpp_conv = cpp_conv[0]\n        inputs = list(cpp_conv.inputs())\n        # get the number of the group from the input parameters\n        group = inputs[8].toIValue()\n        return group\n\n    def build_dependency(self):\n        \"\"\"\n        Build the channel dependency for the conv layers\n        in the model. This function return the group number\n        of each conv layers. Note that, here, the group count\n        of conv layers may be larger than their originl groups.\n        This is because that the input channel will also be grouped\n        for the group conv layers. To make this clear, assume we\n        have two group conv layers: conv1(group=2), conv2(group=4).\n        conv2 takes the output features of conv1 as input.\n        Then we have to the filters of conv1 can still be\n        divided into 4 groups after filter pruning, because\n        the input channels of conv2 shoule be divided into\n        4 groups.\n\n        Returns\n        -------\n        self.dependency : dict\n            key: the name of conv layers, value: the minimum value that the number of\n            filters should be divisible to.\n        \"\"\"\n        for node in self.graph.nodes_py.nodes_op:\n            if node.op_type == 'Conv2d' or node.op_type == 'ConvTranspose2d':\n                group = self._get_conv_groups(node)\n\n                if node.name in self.dependency:\n                    # the conv layer whose group is larger than 1 will require that\n                    # it's number of output channel to be divisible by the number of group.\n                    self.dependency[node.name] = max(\n                        self.dependency[node.name], group)\n                else:\n                    self.dependency[node.name] = group\n                if group > 1:\n                    # for the conv layer whose group is larger than 1, it will require the number\n                    # of output channels of their parent conv layer to be divisible by group.\n                    parent_convs = self._get_parent_convs(node)\n                    for parent in parent_convs:\n                        if parent in self.dependency:\n                            self.dependency[parent] = max(\n                                self.dependency[parent], group)\n                        else:\n                            self.dependency[parent] = group\n        return self.dependency\n\n    def export(self, filepath):\n        \"\"\"\n        export the group dependency to a csv file.\n        Each line describes a convolution layer, the\n        first part of each line is the Pytorch module\n        name of the conv layer. The second part of each\n        line is the group count of the filters in this layer.\n        Note that, the group count may be larger than this\n        layers original group number.\n\n        output example:\n        Conv layer, Groups\n        Conv1, 1\n        Conv2, 2\n        Conv3, 4\n        \"\"\"\n        header = ['Conv Layer Name', 'Group']\n        with open(filepath, 'w') as csvf:\n            csv_w = csv.writer(csvf, delimiter=',')\n            csv_w.writerow(header)\n            for name in self.dependency:\n                group = self.dependency[name]\n                csv_w.writerow([name, group])\n\n    @property\n    def dependency_sets(self):\n        return self.dependency\n"
  },
  {
    "path": "src/aup/compression/torch/utils/utils.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\ndef get_module_by_name(model, module_name):\n    \"\"\"\n    Get a module specified by its module name\n\n    Parameters\n    ----------\n    model : pytorch model\n        the pytorch model from which to get its module\n    module_name : str\n        the name of the required module\n\n    Returns\n    -------\n    module, module\n        the parent module of the required module, the required module\n    \"\"\"\n    name_list = module_name.split(\".\")\n    for name in name_list[:-1]:\n        if hasattr(model, name):\n            model = getattr(model, name)\n        else:\n            return None, None\n    if hasattr(model, name_list[-1]):\n        leaf_module = getattr(model, name_list[-1])\n        return model, leaf_module\n    else:\n        return None, None\n"
  },
  {
    "path": "src/aup/compression/utils.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\nimport json\nimport logging\nimport signal\nimport sys\nimport _thread\nimport threading\nimport time\n\nfrom ..EE.Resource import get_resource_manager\nfrom ..aup import BasicConfig\nfrom ..EE.Job import Job\nfrom ..utils import get_default_username, get_default_connector, check_missing_key\n\n\nSERIALIZATION_SEPARATOR = \".\"\nlogger = logging.getLogger(__name__)\nhyperparams_params = [\"range\", \"type\", \"interval\", \"n\"]\n\n\ndef verify_compression_config(config):\n    \"\"\"\n    verify the experiment configuration is fulfilled for experiment\n\n    :param config: experiment configuration\n    :type config: dict\n    :return: config if verified\n    :rtype: dict\n    \"\"\"\n    check_missing_key(config, \"name\", \"Missing required value for 'script'.\", log=logger)\n    check_missing_key(config, \"script\", \"Missing required value for 'script'.\", log=logger)\n    check_missing_key(config, \"resource\", \"Missing required value for 'resource'\", log=logger)\n    check_missing_key(config, \"compression\", \"Missing required map 'compression'\", log=logger)\n    if \"compression_framework\" not in config[\"compression\"]:\n        check_missing_key(config[\"compression\"], \"framework\", \"Missing required value for 'compression.framework'\", log=logger)\n    if \"compression_type\" not in config[\"compression\"]:\n        check_missing_key(config[\"compression\"], \"type\", \"Missing required value for 'compression.type'\", log=logger)\n    check_missing_key(config[\"compression\"], \"compressor\", \"Missing required value for 'compression.compressor'\", log=logger)\n    check_missing_key(config[\"compression\"], \"config_list\", \"Missing required value for 'compression.config_list'\", log=logger)\n    return config\n\n\ndef run_non_automatic_experiment(exp_config, aup_folder, user=None, eid=None, start=True):\n    \"\"\"\n    Non-automatic experiment pipeline, separated into a different function for unit test purposes\n    :param exp_config: experiment configuration\n    :type exp_config: dict\n    :param aup_folder: the folder containing the .aup files\n    :type aup_folder: str\n    :param user: the username\n    :type user: str\n    :param eid: eid of the experiment, if re-running\n    :type eid: int\n    :param start: whether or not to start the experiment immediately\n    :type start: bool\n    \"\"\"\n    user = get_default_username(user)\n    create_only = False\n\n    exp_config[\"parameter_config\"] = []\n    connector = get_default_connector(auppath=aup_folder, log=logger)\n    if \"resource_args\" in exp_config:\n        resource_manager = get_resource_manager(exp_config[\"resource\"], connector,\n                                                n_parallel=1, auppath=aup_folder,\n                                                maximize=True,\n                                                **exp_config[\"resource_args\"],\n                                                workingdir=exp_config['workingdir'],\n                                                script=exp_config['script'], one_shot=True)\n    else:\n        resource_manager = get_resource_manager(exp_config[\"resource\"], connector,\n                                                n_parallel=1, auppath=aup_folder,\n                                                maximize=True,\n                                                workingdir=exp_config['workingdir'],\n                                                script=exp_config['script'], one_shot=True)\n\n    if eid is None:\n        if start is True:\n            eid = resource_manager.connector.start_experiment(user, exp_config[\"name\"], json.dumps(exp_config))\n        else:\n            eid = resource_manager.connector.create_experiment(user, exp_config[\"name\"], json.dumps(exp_config))\n            create_only = True\n    else:\n        resource_manager.connector.start_experiment_by_eid(eid)\n    resource_manager.eid = eid\n    resource_manager.save_model = False\n\n    if \"runtime_args\" in exp_config:\n        runtime_args = exp_config['runtime_args']\n    else:\n        runtime_args = {}\n    logger.info(\"Experiment %d is created\" % eid)\n    logger.debug(\"Experiment config is %s\" % json.dumps(exp_config))\n\n    if create_only:\n        connector.close()\n        return eid, None\n\n    def _check_status():\n        if connector is None or eid is None:\n            logger.warning(\"Could not start thread for checking external experiment stopping requests.\")\n            return\n        while True:\n            try:\n                if connector.is_closed():\n                    logger.debug(\"Closing down clean-up thread.\")\n                    return\n                status = connector.maybe_get_experiment_status(eid)\n                if status == \"REQUEST_STOP\":\n                    return _thread.interrupt_main()\n            except Exception as ex:\n                logger.critical(\"Error in clean-up thread: {}\".format(ex))\n            finally:\n                time.sleep(5)\n    request_stop_thr = threading.Thread(target=_check_status)\n    request_stop_thr.start()\n\n    rid = resource_manager.get_available(user, exp_config[\"resource\"])\n    if rid is None:\n        logger.warning(\"Not enough resources to run compression\")\n        return eid\n\n    finished = False\n    def update(score, jid):\n        nonlocal finished\n        if score == \"ERROR\":\n            logger.fatal(\"Compression job {} failed\".format(job.jid))\n            resource_manager.finish_job(job.jid, None, \"FAILED\")\n        else:\n            logger.critical(\"Compression job {} finished successfully with result {}\".format(job.jid, score))\n            resource_manager.finish_job(job.jid, score, \"FINISHED\")\n        finished = True\n\n    logger.info(\"# Running one-time compression experiment {}\".format(eid))\n    job_config = BasicConfig(**exp_config[\"compression\"])\n    job_config[\"save_model\"] = True\n    job_config[\"folder_name\"] = \"models_{}\".format(eid)\n    job = Job(exp_config[\"script\"], job_config, exp_config[\"workingdir\"], retries=0)\n    \n    def _suspend(sig, frame):\n        logger.fatal(\"Compression ended at user's request\")\n        resource_manager.suspend()\n        resource_manager.finish_job(job.jid, None)\n        resource_manager.finish(status=\"STOPPED\")\n        connector.close()\n        if request_stop_thr is not None:\n            request_stop_thr.join()\n        sys.exit(1)\n    signal.signal(signal.SIGINT, lambda x, y: _suspend(x, y))\n\n    def _force_refresh(sig, frame):\n        # currently useful for async resource manager timers\n        resource_manager.refresh()\n    signal.signal(signal.SIGUSR1, lambda x, y: _force_refresh(x, y))\n    \n    job.jid = resource_manager.connector.job_started(eid, rid, job_config)\n    resource_manager.run_job(job, rid, exp_config, update, **runtime_args)\n\n    def _finish_callback():\n        nonlocal finished\n        while not finished:\n            time.sleep(1)\n        resource_manager.finish(status=\"FINISHED\")\n        connector.close()\n        if request_stop_thr is not None:\n            request_stop_thr.join()\n\n    return eid, _finish_callback\n\n\ndef _extract_compression_hyperparameters(params):\n    \"\"\"\n    Helper function used to extract a list of compression hyperparameters from \n    config_list mappings.\n    This function searches recursively in compression config_list entries for keywords \n    mapped to dictionaries containing a \"range\" and \"type\", and resolves for them a \n    serialized name based on the depth at which they are found.\n\n    :param params: config_list element\n    :type params: dict\n    :return: list of hyperparameters as dictionaries containing \"name\", \"range\" and \n    \"type\"\n    :rtype: list\n    \"\"\"\n    args = []\n    for key, val in params.items():\n        if isinstance(val, dict):\n            if \"type\" in val:\n                args += [{\n                    \"name\": key,\n                    **{key: val[key] for key in hyperparams_params if key in val},\n                }]\n            else:\n                ret = _extract_compression_hyperparameters(val)\n                ret = [{\n                        **val,\n                        \"name\": \"{}{}{}\".format(key, SERIALIZATION_SEPARATOR, val[\"name\"]),\n                    } for val in ret\n                ]\n                args += ret\n    return args\n\n\ndef translate_compression_config(config):\n    \"\"\"\n    Helper function used to parse the experiment config for automatic compression experiments\n    into the HPO experiment config format. \n\n    :param config: experiment config\n    :type config: dict\n    :return: modified experiment config\n    :rtype: dict\n    \"\"\"\n    config = config.copy()\n\n    # Expand op names (resolve \"expand_op_names\" keyword in entries)\n    new_config_list = []\n    for param in config[\"compression\"][\"config_list\"]:\n        if (\"expand_op_names\" not in param or param[\"expand_op_names\"]) and \\\n           \"op_names\" in param:\n            for op_name in param[\"op_names\"]:\n                # For each op_name in \"op_names\", create a separate config_list entry\n                # with only that op_name and otherwise all other key-value pairs (e.g. \n                # \"op_types\", \"sparsity\", \"quantize_type\" etc.)\n                new_config_list += [{\n                        **{\"op_names\": [op_name]}, \n                        **{key: val for key, val in param.items() \n                            if key not in (\"expand_op_names\", \"op_names\")}\n                    }]\n        else:\n            if (\"expand_op_names\" not in param or param[\"expand_op_names\"]) and \\\n               \"op_names\" not in param:\n                logger.debug(\"No op_names param supplied in config_list for expand_op_names, \" +\n                             \"can not supply individual parameters to each layer.\")\n            new_config_list += [{\n                key: val for key, val in param.items()\n                if key not in (\"expand_op_names\",)\n            }]\n    config[\"compression\"][\"config_list\"] = new_config_list\n\n    # Resolving compression hyperparams to previous parameter_config format\n    # The following code block adds a serialization name to all hyperparameters found in config_list\n    compression_params = [] # auxiliary list of serialized compression hyperparams names (strings)\n    config[\"parameter_config\"] = []\n    for idx, param in enumerate(config[\"compression\"][\"config_list\"]):\n        config[\"parameter_config\"] += [{\n                **param,\n                \"name\": \"{}{}{}\".format(idx, SERIALIZATION_SEPARATOR, param[\"name\"]),\n            } for param in _extract_compression_hyperparameters(param)\n        ]\n    compression_params += [param[\"name\"] for param in config[\"parameter_config\"]]\n    \n    config = BasicConfig(**config)\n    return config, compression_params\n\n\ndef deserialize_compression_proposal(config, compression_params, proposal):\n    \"\"\"\n    Helper function used to deserialize a proposal meant for compression from its usual\n    HPO format into a NNI-compatible config_list format.\n    The output of this function is normally passed to the user script, where it is loaded\n    using BasicConfig.\n\n    :param config: full experiment config\n    :type config: dict\n    :param compression_params: list of names of compression params to filter proposal by\n    :type compression_params: list\n    :param proposal: proposal generated by an auptimizer proposer\n    :type proposal: dict\n    :return: deserialized job configuration\n    :rtype: dict\n    \"\"\"\n    new_proposal = config[\"compression\"].copy()\n    for param in compression_params:\n        full_param = param.split(SERIALIZATION_SEPARATOR)\n        index = int(full_param[0]) # the first string until . is always the config_list index\n        original_key = full_param[-1] # the last string is always the original key of the config_list entry\n        cdict = new_proposal[\"config_list\"][index]\n        # Parse the config_list entry recursively until arriving at max depth\n        for part in full_param[1:-1]:\n            cdict = cdict[part]\n        cdict[original_key] = proposal[param] # assign the actual proposed value for the param, instead of the hyperparameter \"range\" and \"type\" format\n    new_proposal.update({key: val for key, val in proposal.items() if key not in compression_params})\n    return new_proposal\n\n\ndef adjust_compression_config(config):\n    \"\"\"\n    Adjust certain config parameters\n    :param config: experiment configuration\n    :type config: dict\n    :return: config adjusted\n    :rtype: dict\n    \"\"\"\n    # In order to avoid possible conflicts (\"framework\", \"type\" etc. are too ubiquitous parameter names)\n    for old_name, new_name in [\n        (\"type\", \"compression_type\"), \n        (\"framework\", \"compression_framework\")\n    ]:\n        if old_name in config:\n            config[new_name] = config[old_name]\n            del config[old_name]\n    return config\n"
  },
  {
    "path": "src/aup/convert.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nConvert python code for Auptimizer automatically\n================================================\n\nSee :doc:`experiment` for how to convert a job to a **Auptimizer** Experiment.\n\nBasic Usage\n-----------\n\n::\n\n    python convert.py origin.py experiment.json demo_func\n\nAdditional arguments\n--------------------\n\n.. program-output:: python -m aup.convert -h\n\nExample\n-------\n\nSee `Examples/demo`:\n\n\nAPIs\n----\n\n\"\"\"\nimport json\nimport logging\nimport os\nimport stat\n\nimport click\n\n\ndef get_param(experiment_file):\n    \"\"\"Parse experiment file to retrieve hyperparameter names\n\n    :param experiment_file: JSON file of the experiment\n    :return: list of variable names\n    :rtype: [String]\n    \"\"\"\n    with open(experiment_file) as f:\n        j = json.load(f)\n    try:\n        return [i[\"name\"] for i in j[\"parameter_config\"]]\n    except KeyError as e:\n        if \"parameter_config\" not in j:\n            logging.fatal(\"parameter_config not in the experiment config\")\n        else:\n            logging.fatal(\"name not in parameter_config\")\n        raise e\n\n\ndef get_output_name(experiment_file):\n    \"\"\"Retrieves the Python script to be executed from the experiment json file\"\"\"\n    with open(experiment_file) as f:\n        j = json.load(f)\n    try:\n        return j[\"script\"]\n    except KeyError as e:\n        logging.fatal(\"script need to be defined in experiment json\")\n        raise e\n\n\ndef add_shenbang(script):\n    \"\"\"\n    Makes the Python script executable.\n    \"\"\"\n    if script.splitlines()[0][:2] != \"#!\":\n        #\n        if os.name == \"posix\":\n            return \"#!/usr/bin/env python\\n\" + script\n        else:\n            logging.critical('Be cautious, add #!\"C:\\\\Python33\\\\python.exe\", make sure it executable on Windows')\n            return '#!\"C:\\\\Python33\\\\python.exe\\n' + script\n    else:\n        return script\n\n\ndef add_main(script):\n    \"\"\"\n    Adds a main function to the executable Python file.\n    \"\"\"\n    if \"__main__\" in script:\n        logging.critical(\"__main__ is already defined in the script.  Make sure no duplicated __main__ blocks in output.\")\n    return script + \"\"\"\\nif __name__ == \"__main__\":\n    import sys\n    from aup import BasicConfig, print_result\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    aup_wrapper(config)\\n\"\"\"\n\n\ndef add_func(script, func_name, variables):\n    \"\"\"\n    Adds wrapper function to the python script.\n    \"\"\"\n    arguments = \",\".join([\"{0}=config['{0}']\".format(i) for i in variables])\n    wrapper_script = \"\"\"\\ndef aup_wrapper(config):\n    res = {0}({1}) \n    print_result(res)\\n\"\"\".format(func_name, arguments)\n    return script + wrapper_script\n    # TODO-handle exception: func_name does not have any return value (need some ast parsing)\n    # TODO-\"config\" is not used/referenced in \"aup_wrapper\" function\n\n\n@click.command(name=\"auto convert script for Auptimizer\",\n               context_settings=dict(help_option_names=['-h', '--help']))\n@click.argument(\"script\", type=click.Path(exists=True))\n@click.argument(\"exp_json\", type=click.Path(exists=True))\n@click.argument(\"func_name\", type=click.STRING)\n@click.option(\"-o\", \"--output\", type=click.STRING, default=None,\n              help=\"output file name\")\ndef main(script, exp_json, func_name, output):\n    \"\"\"Convert script for Auptimizer\n    \\b\\n\n    Copyright (C) 2018  LG Electronics Inc.\n    \\b\\n\n    GPL-3.0 License. This program comes with ABSOLUTELY NO WARRANTY;\n    \\b\\n\n    Arguments:\n        script {str} -- Script name to train an ML model and return result\n        exp_json {str} -- JSON file name contrains experiment configuration (e.g. hyperparameter)\n        func_name {str} -- Name of the main function in the script for the training\n\n    \\b\\n\n    Raises:\n        Exception: If the script is not self-executable.\n    \"\"\"\n    variable_names = get_param(exp_json)\n    script = open(script).read()\n    script = add_shenbang(script)\n    script = add_func(script, func_name, variable_names)\n    script = add_main(script)\n    if output is None:\n        output = get_output_name(exp_json)\n    with open(output, 'w') as f:\n        f.write(script)\n    if os.name == \"posix\":\n        os.chmod(output, stat.S_IRWXU)\n\n    else:\n        logging.critical(\"Non-*nix OS is not fully supported, change permission by yourself.\")\n\n    if not os.access(output, os.X_OK):\n        raise Exception(\"Failed at the last step - script %s is not executable\" % output)\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/dashboard/README.md",
    "content": "# Auptimizer Dashboard\n\n## Launching the dashboard together with an experiment\n\nThe dashboard can be launched with ``aup`` using `--launch-dashboard`\n\n`python -m aup Examples/2dfunc_diff_res/exp_cpu.json --launch_dashboard`\n\nYou can specify the port for the dashboard with `--dashboard-port`, otherwise,\nthe first available port will be used and printed to the console when running\nthe experiment.\n\n## Seeing HTTP requests from the frontend\n\nThe HTTP requests are all saved in `./src/aup/dashboard/frontend/febuild/auptimizer-dashboard/dashboard_logs`\n"
  },
  {
    "path": "src/aup/dashboard/__init__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\""
  },
  {
    "path": "src/aup/dashboard/dashboard.py",
    "content": "\"\"\"\nDashboard entry point\n============================================\n\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\n\nimport os\nimport sys\nimport shutil\nimport logging\nimport argparse\nimport subprocess\nimport threading\nimport requests\nimport re\nimport cgi\nimport json\n\nimport aup.RestAPI.server as be_server\nfrom http.server import SimpleHTTPRequestHandler, HTTPServer\nfrom ..utils import get_available_port\n\nSUCCESS = 0\nERROR = 1\nglobal BACKEND_PORT\nFE_BUILD_DIR = 'frontend/febuild/auptimizer-dashboard'\n\nLOGGER = logging.getLogger(\"dashboard\")\n\nclass ProxyHTTPRequestHandler(SimpleHTTPRequestHandler):\n    global BACKEND_PORT\n\n    def log_message(self, format, *args):\n        dir_path = os.environ['PWD']\n        log_file_name = \"dashboard_logs\"\n        path = os.path.join(dir_path, log_file_name)\n        append_write = 'a'\n\n        if not os.path.exists(path):\n            append_write = 'w'\n        \n        with open (path, append_write) as f:\n            f.write(\"%s - - [%s] %s\\n\" %\n                         (self.address_string(),\n                          self.log_date_time_string(),\n                          format%args))\n\n    def do_DELETE(self):\n        rv = re.search('/api/(.*)$', self.path)\n        if rv != None:\n            url = 'http://127.0.0.1:{}{}'.format(str(BACKEND_PORT), self.path)\n\n            resp = requests.delete(url)\n\n            self.send_response(resp.status_code)\n            self.send_resp_headers(resp)\n            self.wfile.write(resp.content)\n            return\n\n        super().do_DELETE()\n        return\n\n    def do_GET(self):\n        rv = re.search('/api/(.*)$', self.path)\n        if rv != None:\n            url = 'http://127.0.0.1:{}{}'.format(str(BACKEND_PORT), self.path)\n\n            resp = requests.get(url)\n\n            self.send_response(resp.status_code)\n            self.send_resp_headers(resp)\n            self.wfile.write(resp.content)\n            return\n\n        super().do_GET()\n        return\n\n    def do_POST(self):\n        rv = re.search('/api/(.*)$', self.path)\n        if rv != None:\n            url = 'http://127.0.0.1:{}{}'.format(str(BACKEND_PORT), self.path)\n\n            content_type = self.headers.get('content-type')\n            body = None\n\n            if content_type is not None:\n                ctype, pdict = cgi.parse_header(content_type)\n\n                # refuse to receive non-json content\n                if ctype != 'application/json':\n                    self.send_response(400)\n                    self.end_headers()\n                    return\n\n                # read the message and convert it into a python dictionary\n                length = int(self.headers.get('content-length'))\n                encoded_msg = self.rfile.read(length)\n                body = json.loads(encoded_msg.decode(sys.stdin.encoding if sys.stdin.encoding is not None else 'UTF-8'))\n\n            resp = requests.post(url, json=body)\n\n            self.send_response(resp.status_code)\n            self.send_resp_headers(resp)\n            self.wfile.write(resp.content)\n            return\n\n        return\n\n    def send_resp_headers(self, resp):\n        respheaders = resp.headers\n        for key in respheaders:\n            if key not in ['Content-Encoding', 'Transfer-Encoding', 'content-encoding', 'transfer-encoding', 'content-length', 'Content-Length']:\n                self.send_header(key, respheaders[key])\n        self.send_header('Content-Length', len(resp.content))\n        self.end_headers()\n\ndef start_fe_server(PORT):\n    server_address = ('', PORT)\n    httpd = HTTPServer(server_address, ProxyHTTPRequestHandler)\n\n    httpd.serve_forever()\n\ndef start_servers(path, port, frontend):\n    global BACKEND_PORT\n\n    import pathlib\n    pa = pathlib.Path(__file__).resolve().parent\n\n    if (path is not None) and (not os.path.exists(path)):\n        LOGGER.error('{} does not exist!'.format(path))\n        return ERROR\n\n    LOGGER.debug('Backend started on 0.0.0.0:{}'.format(BACKEND_PORT))\n\n    # separate thread\n    path = os.path.abspath(path) if path is not None else None\n    be_server_thr = threading.Thread(target=be_server.main, args=(path, BACKEND_PORT), daemon=True)\n    if frontend:\n        fe_server_thr = threading.Thread(target=start_fe_server, args=(port,), daemon=True)\n\n    # for frontend\n    os.chdir(os.path.join(str(pa), FE_BUILD_DIR))\n\n    try:\n        be_server_thr.start()\n        if frontend:\n            fe_server_thr.start()\n\n        if frontend:\n            fe_server_thr.join()\n        be_server_thr.join()\n    except Exception as e:\n        LOGGER.error('Exception occurred:' + str(e))\n        return ERROR\n\n    return SUCCESS\n\ndef _start_dashboard(path, port, frontend):\n    global BACKEND_PORT\n\n    BACKEND_PORT = get_available_port()\n    \n    return start_servers(path, port, frontend)\n\ndef main():\n    global BACKEND_PORT\n\n    \"\"\" Main function that parses arguments and opens fe+be.\"\"\"\n    parser = argparse.ArgumentParser(\n        description='Open frontend and backend of the auptimizer dashboard')\n    parser.add_argument(\n        '--path',\n        type=str,\n        dest='path',\n        default=None,\n        help='Path of the sqlite db file.'\n    )\n    parser.add_argument(\n        '--port',\n        type=int,\n        dest='port',\n        help='Port for frontend. Leave blank for backend only.',\n    )\n    parser.add_argument(\n        '--backend_port',\n        type=int,\n        dest='backend_port',\n        help='Port for the backend. Optional, for easier debugging.'\n    )\n\n    args = parser.parse_args()\n\n    BACKEND_PORT = get_available_port()\n\n    if args.backend_port is not None:\n        BACKEND_PORT = args.backend_port\n\n    if args.port is None:\n        args.frontend = False\n    else:\n        args.frontend = True\n        print('Dashboard started on 0.0.0.0:{}'.format(args.port))\n        print('To exit press CTRL+C...')\n\n    return start_servers(args.path, args.port, args.frontend)\n\n\nif __name__ == \"__main__\":\n    sys.exit(main())\n"
  },
  {
    "path": "src/aup/dashboard/frontend/.browserslistrc",
    "content": "# This file is used by the build system to adjust CSS and JS output to support the specified browsers below.\n# For additional information regarding the format and rule options, please see:\n# https://github.com/browserslist/browserslist#queries\n\n# For the full list of supported browsers by the Angular framework, please see:\n# https://angular.io/guide/browser-support\n\n# You can see what browsers were selected by your queries by running:\n#   npx browserslist\n\nlast 1 Chrome version\nlast 1 Firefox version\nlast 2 Edge major versions\nlast 2 Safari major versions\nlast 2 iOS major versions\nFirefox ESR\nnot IE 9-10 # Angular support for IE 9-10 has been deprecated and will be removed as of Angular v11. To opt-in, remove the 'not' prefix on this line.\nnot IE 11 # Angular supports IE 11 only as an opt-in. To opt-in, remove the 'not' prefix on this line.\n"
  },
  {
    "path": "src/aup/dashboard/frontend/.editorconfig",
    "content": "# Editor configuration, see https://editorconfig.org\nroot = true\n\n[*]\ncharset = utf-8\nindent_style = space\nindent_size = 2\ninsert_final_newline = true\ntrim_trailing_whitespace = true\n\n[*.ts]\nquote_type = single\n\n[*.md]\nmax_line_length = off\ntrim_trailing_whitespace = false\n"
  },
  {
    "path": "src/aup/dashboard/frontend/.eslintrc.json",
    "content": "{\n  \"root\": true,\n  \"ignorePatterns\": [\"projects/**/*\", \"febuild/**/*\"],\n  \"overrides\": [\n    {\n      \"files\": [\"*.ts\"],\n      \"parserOptions\": {\n        \"project\": [\"tsconfig.json\", \"e2e/tsconfig.json\"],\n        \"createDefaultProgram\": true\n      },\n      \"extends\": [\n        \"plugin:@angular-eslint/ng-cli-compat\",\n        \"plugin:@angular-eslint/ng-cli-compat--formatting-add-on\",\n        \"plugin:@angular-eslint/recommended\",\n        \"plugin:@angular-eslint/template/process-inline-templates\",\n        \"eslint:recommended\",\n        \"plugin:@typescript-eslint/recommended\",\n        \"plugin:@typescript-eslint/recommended-requiring-type-checking\",\n        \"prettier/@typescript-eslint\",\n        \"plugin:prettier/recommended\"\n      ],\n      \"plugins\": [\"eslint-plugin-react\"],\n      \"rules\": {\n        \"@angular-eslint/component-selector\": [\n          \"error\",\n          {\n            \"type\": \"element\",\n            \"prefix\": \"app\",\n            \"style\": \"kebab-case\"\n          }\n        ],\n        \"@angular-eslint/directive-selector\": [\n          \"error\",\n          {\n            \"type\": \"attribute\",\n            \"prefix\": \"app\",\n            \"style\": \"camelCase\"\n          }\n        ],\n        \"@angular-eslint/use-component-view-encapsulation\": \"error\",\n        \"@angular-eslint/use-pipe-decorator\": \"error\",\n        \"@typescript-eslint/consistent-type-definitions\": \"error\",\n        \"@typescript-eslint/dot-notation\": \"off\",\n        \"@typescript-eslint/explicit-member-accessibility\": [\n          \"off\",\n          {\n            \"accessibility\": \"explicit\"\n          }\n        ],\n        \"arrow-parens\": [\"off\", \"always\"],\n        \"brace-style\": [\"off\", \"off\"],\n        \"eol-last\": \"off\",\n        \"id-blacklist\": \"off\",\n        \"id-match\": \"off\",\n        \"import/order\": \"off\",\n        \"linebreak-style\": \"off\",\n        \"new-parens\": \"off\",\n        \"newline-per-chained-call\": \"off\",\n        \"no-extra-semi\": \"off\",\n        \"no-irregular-whitespace\": \"off\",\n        \"no-trailing-spaces\": \"off\",\n        \"no-underscore-dangle\": \"off\",\n        \"react/jsx-curly-spacing\": \"off\",\n        \"react/jsx-equals-spacing\": \"off\",\n        \"react/jsx-wrap-multilines\": \"off\",\n        \"space-before-function-paren\": \"off\",\n        \"space-in-parens\": [\"off\", \"never\"]\n      }\n    },\n    {\n      \"files\": [\"*.html\"],\n      \"extends\": [\"plugin:@angular-eslint/template/recommended\"],\n      \"rules\": {}\n    }\n  ]\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/.gitignore",
    "content": "# See http://help.github.com/ignore-files/ for more about ignoring files.\n\n# compiled output\n#/dist\n/tmp\n/out-tsc\n# Only exists if Bazel was run\n/bazel-out\n\n# dependencies\n/node_modules\n\n# profiling files\nchrome-profiler-events*.json\nspeed-measure-plugin*.json\n\n# IDEs and editors\n/.idea\n.project\n.classpath\n.c9/\n*.launch\n.settings/\n*.sublime-workspace\n\n# IDE - VSCode\n.vscode/*\n!.vscode/settings.json\n!.vscode/tasks.json\n!.vscode/launch.json\n!.vscode/extensions.json\n.history/*\n\n# misc\n/.sass-cache\n/connect.lock\n/coverage\n/libpeerconnection.log\nnpm-debug.log\nyarn-error.log\ntestem.log\n/typings\n\n# System Files\n.DS_Store\nThumbs.db\n"
  },
  {
    "path": "src/aup/dashboard/frontend/.prettierignore",
    "content": "package.json\npackage-lock.json\nyarn.lock\ndist\n.angulardoc.json\n.vscode/*\n**/*.html\n"
  },
  {
    "path": "src/aup/dashboard/frontend/.prettierrc",
    "content": "{\n  \"printWidth\": 120,\n  \"singleQuote\": true,\n  \"useTabs\": false,\n  \"tabWidth\": 2,\n  \"jsxSingleQuote\": true,\n  \"htmlWhitespaceSensitivity\": \"ignore\",\n  \"semi\": true,\n  \"bracketSpacing\": true,\n  \"endOfLine\": \"auto\"\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/Angular-LICENSE",
    "content": "License file for package: https://github.com/angular/angular-cli\n\nThe MIT License\n\nCopyright (c) 2017 Google, Inc.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE."
  },
  {
    "path": "src/aup/dashboard/frontend/README.md",
    "content": "# Auptimizer Frontend\n\nThis project was generated with [Angular CLI](https://github.com/angular/angular-cli) version 10.0.2.\n\n## Getting started\n\nClone the repo. Navigate to `Auptimizer-Dashboard` folder. Run `npm install` to install all dependencies. \n\n## Development server\n\nRun `npm run start` for a dev server. Navigate to `http://localhost:4200/`. The app will automatically reload if you change any of the source files.\n\n## Build\n\nRun `ng build` to build the project. The build artifacts will be stored in the `dist/` directory. Use the `--prod` flag for a production build.\n\n## Running unit tests\n\nRun `ng test` to execute the unit tests via [Karma](https://karma-runner.github.io).\n\n## Running end-to-end tests\n\nRun `ng e2e` to execute the end-to-end tests via [Protractor](http://www.protractortest.org/).\n\n## Further help\n\nTo get more help on the Angular CLI use `ng help` or go check out the [Angular CLI README](https://github.com/angular/angular-cli/blob/master/README.md).\n\n## Copyright\n\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later"
  },
  {
    "path": "src/aup/dashboard/frontend/angular.json",
    "content": "{\n  \"$schema\": \"./node_modules/@angular/cli/lib/config/schema.json\",\n  \"version\": 1,\n  \"newProjectRoot\": \"projects\",\n  \"projects\": {\n    \"auptimizer-dashboard\": {\n      \"projectType\": \"application\",\n      \"schematics\": {\n        \"@schematics/angular:component\": {\n          \"style\": \"scss\"\n        }\n      },\n      \"root\": \"\",\n      \"sourceRoot\": \"src\",\n      \"prefix\": \"app\",\n      \"architect\": {\n        \"build\": {\n          \"builder\": \"@angular-builders/custom-webpack:browser\",\n          \"options\": {\n            \"customWebpackConfig\": {\n              \"path\": \"./webpack.config.js\"\n            },\n            \"outputPath\": \"febuild/auptimizer-dashboard\",\n            \"index\": \"src/index.html\",\n            \"main\": \"src/main.ts\",\n            \"polyfills\": \"src/polyfills.ts\",\n            \"tsConfig\": \"tsconfig.app.json\",\n            \"aot\": true,\n            \"assets\": [\n              \"src/favicon.ico\",\n              \"src/assets\",\n              \"src/_redirects\"\n            ],\n            \"styles\": [\n              \"./node_modules/@angular/material/prebuilt-themes/indigo-pink.css\",\n              \"src/styles.scss\"\n            ],\n            \"scripts\": []\n          },\n          \"configurations\": {\n            \"production\": {\n              \"fileReplacements\": [\n                {\n                  \"replace\": \"src/environments/environment.ts\",\n                  \"with\": \"src/environments/environment.prod.ts\"\n                }\n              ],\n              \"optimization\": true,\n              \"outputHashing\": \"all\",\n              \"sourceMap\": false,\n              \"extractCss\": true,\n              \"namedChunks\": false,\n              \"extractLicenses\": true,\n              \"vendorChunk\": false,\n              \"buildOptimizer\": true,\n              \"budgets\": [\n                {\n                  \"type\": \"initial\",\n                  \"maximumWarning\": \"2mb\",\n                  \"maximumError\": \"10mb\"\n                },\n                {\n                  \"type\": \"anyComponentStyle\",\n                  \"maximumWarning\": \"30kb\",\n                  \"maximumError\": \"70kb\"\n                }\n              ]\n            }\n          }\n        },\n        \"serve\": {\n          \"builder\": \"@angular-builders/custom-webpack:dev-server\",\n          \"options\": {\n            \"customWebpackConfig\": {\n              \"path\": \"./webpack.config.js\"\n            },\n            \"browserTarget\": \"auptimizer-dashboard:build\"\n          },\n          \"configurations\": {\n            \"production\": {\n              \"browserTarget\": \"auptimizer-dashboard:build:production\"\n            }\n          }\n        },\n        \"extract-i18n\": {\n          \"builder\": \"@angular-devkit/build-angular:extract-i18n\",\n          \"options\": {\n            \"browserTarget\": \"auptimizer-dashboard:build\"\n          }\n        },\n        \"test\": {\n          \"builder\": \"@angular-devkit/build-angular:karma\",\n          \"options\": {\n            \"main\": \"src/test.ts\",\n            \"polyfills\": \"src/polyfills.ts\",\n            \"tsConfig\": \"tsconfig.spec.json\",\n            \"karmaConfig\": \"karma.conf.js\",\n            \"assets\": [\n              \"src/favicon.ico\",\n              \"src/assets\"\n            ],\n            \"styles\": [\n              \"./node_modules/@angular/material/prebuilt-themes/indigo-pink.css\",\n              \"src/styles.scss\"\n            ],\n            \"scripts\": []\n          }\n        },\n        \"lint\": {\n          \"builder\": \"@angular-eslint/builder:lint\",\n          \"options\": {\n            \"lintFilePatterns\": [\n              \"src/**/*.ts\",\n              \"src/**/*.html\"\n            ]\n          }\n        },\n        \"e2e\": {\n          \"builder\": \"@angular-devkit/build-angular:protractor\",\n          \"options\": {\n            \"protractorConfig\": \"e2e/protractor.conf.js\",\n            \"devServerTarget\": \"auptimizer-dashboard:serve\"\n          },\n          \"configurations\": {\n            \"production\": {\n              \"devServerTarget\": \"auptimizer-dashboard:serve:production\"\n            }\n          }\n        }\n      }\n    }\n  },\n  \"defaultProject\": \"auptimizer-dashboard\"\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/e2e/protractor.conf.js",
    "content": "// @ts-check\n// Protractor configuration file, see link for more information\n// https://github.com/angular/protractor/blob/master/lib/config.ts\n\nconst { SpecReporter, StacktraceOption } = require('jasmine-spec-reporter');\n\n/**\n * @type { import(\"protractor\").Config }\n */\nexports.config = {\n  allScriptsTimeout: 11000,\n  specs: [\n    './src/**/*.e2e-spec.ts'\n  ],\n  capabilities: {\n    browserName: 'chrome'\n  },\n  directConnect: true,\n  baseUrl: 'http://localhost:4200/',\n  framework: 'jasmine',\n  jasmineNodeOpts: {\n    showColors: true,\n    defaultTimeoutInterval: 30000,\n    print: function() {}\n  },\n  onPrepare() {\n    require('ts-node').register({\n      project: require('path').join(__dirname, './tsconfig.json')\n    });\n    jasmine.getEnv().addReporter(new SpecReporter({\n      spec: {\n        displayStacktrace: StacktraceOption.PRETTY\n      }\n    }));\n  }\n};"
  },
  {
    "path": "src/aup/dashboard/frontend/e2e/src/app.e2e-spec.ts",
    "content": "import { AppPage } from './app.po';\nimport { browser, logging } from 'protractor';\n\ndescribe('workspace-project App', () => {\n  let page: AppPage;\n\n  beforeEach(() => {\n    page = new AppPage();\n  });\n\n  it('should display welcome message', () => {\n    page.navigateTo();\n    expect(page.getTitleText()).toEqual('auptimizer-dashboard app is running!');\n  });\n\n  afterEach(async () => {\n    // Assert that there are no errors emitted from the browser\n    const logs = await browser.manage().logs().get(logging.Type.BROWSER);\n    expect(logs).not.toContain(jasmine.objectContaining({\n      level: logging.Level.SEVERE,\n    } as logging.Entry));\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/e2e/src/app.po.ts",
    "content": "import { browser, by, element } from 'protractor';\n\nexport class AppPage {\n  navigateTo(): Promise<unknown> {\n    return browser.get(browser.baseUrl) as Promise<unknown>;\n  }\n\n  getTitleText(): Promise<string> {\n    return element(by.css('app-root .content span')).getText() as Promise<string>;\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/e2e/tsconfig.json",
    "content": "/* To learn more about this file see: https://angular.io/config/tsconfig. */\n{\n  \"extends\": \"../tsconfig.base.json\",\n  \"compilerOptions\": {\n    \"outDir\": \"../out-tsc/e2e\",\n    \"module\": \"commonjs\",\n    \"target\": \"es2018\",\n    \"types\": [\n      \"jasmine\",\n      \"jasminewd2\",\n      \"node\"\n    ]\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/febuild/auptimizer-dashboard/3rdpartylicenses.txt",
    "content": "@angular/animations\nMIT\n\n@angular/cdk\nMIT\nThe MIT License\n\nCopyright (c) 2021 Google LLC.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in\nall copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\nTHE SOFTWARE.\n\n\n@angular/common\nMIT\n\n@angular/core\nMIT\n\n@angular/flex-layout\nMIT\nThe MIT License\n\nCopyright (c) 2020 Google LLC.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in\nall copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\nTHE SOFTWARE.\n\n\n@angular/forms\nMIT\n\n@angular/material\nMIT\nThe MIT License\n\nCopyright (c) 2021 Google LLC.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in\nall copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\nTHE SOFTWARE.\n\n\n@angular/platform-browser\nMIT\n\n@angular/router\nMIT\n\n@ngxs/devtools-plugin\nMIT\n\n@ngxs/logger-plugin\nMIT\n\n@ngxs/router-plugin\nMIT\n\n@ngxs/storage-plugin\nMIT\n\n@ngxs/store\nMIT\n\nangular-plotly.js\n\ncdk-table-exporter\nApache-2.0\n\ncss-loader\nMIT\nCopyright JS Foundation and other contributors\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n'Software'), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n\nfile-saver\nMIT\nThe MIT License\n\nCopyright © 2016 [Eli Grey][1].\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n  [1]: http://eligrey.com\n\n\njsoneditor\nApache-2.0\n                               Apache License\n                           Version 2.0, January 2004\n                        http://www.apache.org/licenses/\n\n   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n\n   1. 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For the purposes of this definition,\n      \"control\" means (i) the power, direct or indirect, to cause the\n      direction or management of such entity, whether by contract or\n      otherwise, or (ii) ownership of fifty percent (50%) or more of the\n      outstanding shares, or (iii) beneficial ownership of such entity.\n\n      \"You\" (or \"Your\") shall mean an individual or Legal Entity\n      exercising permissions granted by this License.\n\n      \"Source\" form shall mean the preferred form for making modifications,\n      including but not limited to software source code, documentation\n      source, and configuration files.\n\n      \"Object\" form shall mean any form resulting from mechanical\n      transformation or translation of a Source form, including but\n      not limited to compiled object code, generated documentation,\n      and conversions to other media types.\n\n      \"Work\" shall mean the work of authorship, whether in Source or\n      Object form, made available under the License, as indicated by a\n      copyright notice that is included in or attached to the work\n      (an example is provided in the Appendix below).\n\n      \"Derivative Works\" shall mean any work, whether in Source or Object\n      form, that is based on (or derived from) the Work and for which the\n      editorial revisions, annotations, elaborations, or other modifications\n      represent, as a whole, an original work of authorship. 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In no event and under no legal theory,\n      whether in tort (including negligence), contract, or otherwise,\n      unless required by applicable law (such as deliberate and grossly\n      negligent acts) or agreed to in writing, shall any Contributor be\n      liable to You for damages, including any direct, indirect, special,\n      incidental, or consequential damages of any character arising as a\n      result of this License or out of the use or inability to use the\n      Work (including but not limited to damages for loss of goodwill,\n      work stoppage, computer failure or malfunction, or any and all\n      other commercial damages or losses), even if such Contributor\n      has been advised of the possibility of such damages.\n\n   9. Accepting Warranty or Additional Liability. While redistributing\n      the Work or Derivative Works thereof, You may choose to offer,\n      and charge a fee for, acceptance of support, warranty, indemnity,\n      or other liability obligations and/or rights consistent with this\n      License. However, in accepting such obligations, You may act only\n      on Your own behalf and on Your sole responsibility, not on behalf\n      of any other Contributor, and only if You agree to indemnify,\n      defend, and hold each Contributor harmless for any liability\n      incurred by, or claims asserted against, such Contributor by reason\n      of your accepting any such warranty or additional liability.\n\n   END OF TERMS AND CONDITIONS\n\n\nmat-table-exporter\nApache-2.0\n\nmoment\nMIT\nCopyright (c) JS Foundation and other contributors\n\nPermission is hereby granted, free of charge, to any person\nobtaining a copy of this software and associated documentation\nfiles (the \"Software\"), to deal in the Software without\nrestriction, including without limitation the rights to use,\ncopy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the\nSoftware is furnished to do so, subject to the following\nconditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES\nOF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND\nNONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT\nHOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,\nWHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\nFROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR\nOTHER DEALINGS IN THE SOFTWARE.\n\n\nngx-pagination\nMIT\nThe MIT License (MIT)\nCopyright (c) 2016 Michael Bromley\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n\nplotly.js\nMIT\nThe MIT License (MIT)\n\nCopyright (c) 2020 Plotly, Inc\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in\nall copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\nTHE SOFTWARE.\n\n\nrxjs\nApache-2.0\n                               Apache License\n                         Version 2.0, January 2004\n                      http://www.apache.org/licenses/\n\n TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n\n 1. Definitions.\n\n    \"License\" shall mean the terms and conditions for use, reproduction,\n    and distribution as defined by Sections 1 through 9 of this document.\n\n    \"Licensor\" shall mean the copyright owner or entity authorized by\n    the copyright owner that is granting the License.\n\n    \"Legal Entity\" shall mean the union of the acting entity and all\n    other entities that control, are controlled by, or are under common\n    control with that entity. For the purposes of this definition,\n    \"control\" means (i) the power, direct or indirect, to cause the\n    direction or management of such entity, whether by contract or\n    otherwise, or (ii) ownership of fifty percent (50%) or more of the\n    outstanding shares, or (iii) beneficial ownership of such entity.\n\n    \"You\" (or \"Your\") shall mean an individual or Legal Entity\n    exercising permissions granted by this License.\n\n    \"Source\" form shall mean the preferred form for making modifications,\n    including but not limited to software source code, documentation\n    source, and configuration files.\n\n    \"Object\" form shall mean any form resulting from mechanical\n    transformation or translation of a Source form, including but\n    not limited to compiled object code, generated documentation,\n    and conversions to other media types.\n\n    \"Work\" shall mean the work of authorship, whether in Source or\n    Object form, made available under the License, as indicated by a\n    copyright notice that is included in or attached to the work\n    (an example is provided in the Appendix below).\n\n    \"Derivative Works\" shall mean any work, whether in Source or Object\n    form, that is based on (or derived from) the Work and for which the\n    editorial revisions, annotations, elaborations, or other modifications\n    represent, as a whole, an original work of authorship. For the purposes\n    of this License, Derivative Works shall not include works that remain\n    separable from, or merely link (or bind by name) to the interfaces of,\n    the Work and Derivative Works thereof.\n\n    \"Contribution\" shall mean any work of authorship, including\n    the original version of the Work and any modifications or additions\n    to that Work or Derivative Works thereof, that is intentionally\n    submitted to Licensor for inclusion in the Work by the copyright owner\n    or by an individual or Legal Entity authorized to submit on behalf of\n    the copyright owner. For the purposes of this definition, \"submitted\"\n    means any form of electronic, verbal, or written communication sent\n    to the Licensor or its representatives, including but not limited to\n    communication on electronic mailing lists, source code control systems,\n    and issue tracking systems that are managed by, or on behalf of, the\n    Licensor for the purpose of discussing and improving the Work, but\n    excluding communication that is conspicuously marked or otherwise\n    designated in writing by the copyright owner as \"Not a Contribution.\"\n\n    \"Contributor\" shall mean Licensor and any individual or Legal Entity\n    on behalf of whom a Contribution has been received by Licensor and\n    subsequently incorporated within the Work.\n\n 2. Grant of Copyright License. Subject to the terms and conditions of\n    this License, each Contributor hereby grants to You a perpetual,\n    worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n    copyright license to reproduce, prepare Derivative Works of,\n    publicly display, publicly perform, sublicense, and distribute the\n    Work and such Derivative Works in Source or Object form.\n\n 3. Grant of Patent License. Subject to the terms and conditions of\n    this License, each Contributor hereby grants to You a perpetual,\n    worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n    (except as stated in this section) patent license to make, have made,\n    use, offer to sell, sell, import, and otherwise transfer the Work,\n    where such license applies only to those patent claims licensable\n    by such Contributor that are necessarily infringed by their\n    Contribution(s) alone or by combination of their Contribution(s)\n    with the Work to which such Contribution(s) was submitted. If You\n    institute patent litigation against any entity (including a\n    cross-claim or counterclaim in a lawsuit) alleging that the Work\n    or a Contribution incorporated within the Work constitutes direct\n    or contributory patent infringement, then any patent licenses\n    granted to You under this License for that Work shall terminate\n    as of the date such litigation is filed.\n\n 4. Redistribution. You may reproduce and distribute copies of the\n    Work or Derivative Works thereof in any medium, with or without\n    modifications, and in Source or Object form, provided that You\n    meet the following conditions:\n\n    (a) You must give any other recipients of the Work or\n        Derivative Works a copy of this License; and\n\n    (b) You must cause any modified files to carry prominent notices\n        stating that You changed the files; and\n\n    (c) You must retain, in the Source form of any Derivative Works\n        that You distribute, all copyright, patent, trademark, and\n        attribution notices from the Source form of the Work,\n        excluding those notices that do not pertain to any part of\n        the Derivative Works; and\n\n    (d) If the Work includes a \"NOTICE\" text file as part of its\n        distribution, then any Derivative Works that You distribute must\n        include a readable copy of the attribution notices contained\n        within such NOTICE file, excluding those notices that do not\n        pertain to any part of the Derivative Works, in at least one\n        of the following places: within a NOTICE text file distributed\n        as part of the Derivative Works; within the Source form or\n        documentation, if provided along with the Derivative Works; or,\n        within a display generated by the Derivative Works, if and\n        wherever such third-party notices normally appear. The contents\n        of the NOTICE file are for informational purposes only and\n        do not modify the License. You may add Your own attribution\n        notices within Derivative Works that You distribute, alongside\n        or as an addendum to the NOTICE text from the Work, provided\n        that such additional attribution notices cannot be construed\n        as modifying the License.\n\n    You may add Your own copyright statement to Your modifications and\n    may provide additional or different license terms and conditions\n    for use, reproduction, or distribution of Your modifications, or\n    for any such Derivative Works as a whole, provided Your use,\n    reproduction, and distribution of the Work otherwise complies with\n    the conditions stated in this License.\n\n 5. Submission of Contributions. Unless You explicitly state otherwise,\n    any Contribution intentionally submitted for inclusion in the Work\n    by You to the Licensor shall be under the terms and conditions of\n    this License, without any additional terms or conditions.\n    Notwithstanding the above, nothing herein shall supersede or modify\n    the terms of any separate license agreement you may have executed\n    with Licensor regarding such Contributions.\n\n 6. Trademarks. This License does not grant permission to use the trade\n    names, trademarks, service marks, or product names of the Licensor,\n    except as required for reasonable and customary use in describing the\n    origin of the Work and reproducing the content of the NOTICE file.\n\n 7. Disclaimer of Warranty. Unless required by applicable law or\n    agreed to in writing, Licensor provides the Work (and each\n    Contributor provides its Contributions) on an \"AS IS\" BASIS,\n    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\n    implied, including, without limitation, any warranties or conditions\n    of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A\n    PARTICULAR PURPOSE. You are solely responsible for determining the\n    appropriateness of using or redistributing the Work and assume any\n    risks associated with Your exercise of permissions under this License.\n\n 8. Limitation of Liability. In no event and under no legal theory,\n    whether in tort (including negligence), contract, or otherwise,\n    unless required by applicable law (such as deliberate and grossly\n    negligent acts) or agreed to in writing, shall any Contributor be\n    liable to You for damages, including any direct, indirect, special,\n    incidental, or consequential damages of any character arising as a\n    result of this License or out of the use or inability to use the\n    Work (including but not limited to damages for loss of goodwill,\n    work stoppage, computer failure or malfunction, or any and all\n    other commercial damages or losses), even if such Contributor\n    has been advised of the possibility of such damages.\n\n 9. Accepting Warranty or Additional Liability. While redistributing\n    the Work or Derivative Works thereof, You may choose to offer,\n    and charge a fee for, acceptance of support, warranty, indemnity,\n    or other liability obligations and/or rights consistent with this\n    License. However, in accepting such obligations, You may act only\n    on Your own behalf and on Your sole responsibility, not on behalf\n    of any other Contributor, and only if You agree to indemnify,\n    defend, and hold each Contributor harmless for any liability\n    incurred by, or claims asserted against, such Contributor by reason\n    of your accepting any such warranty or additional liability.\n\n END OF TERMS AND CONDITIONS\n\n APPENDIX: How to apply the Apache License to your work.\n\n    To apply the Apache License to your work, attach the following\n    boilerplate notice, with the fields enclosed by brackets \"[]\"\n    replaced with your own identifying information. (Don't include\n    the brackets!)  The text should be enclosed in the appropriate\n    comment syntax for the file format. We also recommend that a\n    file or class name and description of purpose be included on the\n    same \"printed page\" as the copyright notice for easier\n    identification within third-party archives.\n\n Copyright (c) 2015-2018 Google, Inc., Netflix, Inc., Microsoft Corp. and contributors\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n     http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n \n\n\ntslib\n0BSD\nCopyright (c) Microsoft Corporation.\n\nPermission to use, copy, modify, and/or distribute this software for any\npurpose with or without fee is hereby granted.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\nREGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\nAND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\nINDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\nLOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\nOTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\nPERFORMANCE OF THIS SOFTWARE.\n\nwebpack\nMIT\nCopyright JS Foundation and other contributors\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n'Software'), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n\nxlsx\nApache-2.0\n                                 Apache License\n                           Version 2.0, January 2004\n                        http://www.apache.org/licenses/\n\n   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n\n   1. Definitions.\n\n      \"License\" shall mean the terms and conditions for use, reproduction,\n      and distribution as defined by Sections 1 through 9 of this document.\n\n      \"Licensor\" shall mean the copyright owner or entity authorized by\n      the copyright owner that is granting the License.\n\n      \"Legal Entity\" shall mean the union of the acting entity and all\n      other entities that control, are controlled by, or are under common\n      control with that entity. For the purposes of this definition,\n      \"control\" means (i) the power, direct or indirect, to cause the\n      direction or management of such entity, whether by contract or\n      otherwise, or (ii) ownership of fifty percent (50%) or more of the\n      outstanding shares, or (iii) beneficial ownership of such entity.\n\n      \"You\" (or \"Your\") shall mean an individual or Legal Entity\n      exercising permissions granted by this License.\n\n      \"Source\" form shall mean the preferred form for making modifications,\n      including but not limited to software source code, documentation\n      source, and configuration files.\n\n      \"Object\" form shall mean any form resulting from mechanical\n      transformation or translation of a Source form, including but\n      not limited to compiled object code, generated documentation,\n      and conversions to other media types.\n\n      \"Work\" shall mean the work of authorship, whether in Source or\n      Object form, made available under the License, as indicated by a\n      copyright notice that is included in or attached to the work\n      (an example is provided in the Appendix below).\n\n      \"Derivative Works\" shall mean any work, whether in Source or Object\n      form, that is based on (or derived from) the Work and for which the\n      editorial revisions, annotations, elaborations, or other modifications\n      represent, as a whole, an original work of authorship. For the purposes\n      of this License, Derivative Works shall not include works that remain\n      separable from, or merely link (or bind by name) to the interfaces of,\n      the Work and Derivative Works thereof.\n\n      \"Contribution\" shall mean any work of authorship, including\n      the original version of the Work and any modifications or additions\n      to that Work or Derivative Works thereof, that is intentionally\n      submitted to Licensor for inclusion in the Work by the copyright owner\n      or by an individual or Legal Entity authorized to submit on behalf of\n      the copyright owner. For the purposes of this definition, \"submitted\"\n      means any form of electronic, verbal, or written communication sent\n      to the Licensor or its representatives, including but not limited to\n      communication on electronic mailing lists, source code control systems,\n      and issue tracking systems that are managed by, or on behalf of, the\n      Licensor for the purpose of discussing and improving the Work, but\n      excluding communication that is conspicuously marked or otherwise\n      designated in writing by the copyright owner as \"Not a Contribution.\"\n\n      \"Contributor\" shall mean Licensor and any individual or Legal Entity\n      on behalf of whom a Contribution has been received by Licensor and\n      subsequently incorporated within the Work.\n\n   2. Grant of Copyright License. Subject to the terms and conditions of\n      this License, each Contributor hereby grants to You a perpetual,\n      worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n      copyright license to reproduce, prepare Derivative Works of,\n      publicly display, publicly perform, sublicense, and distribute the\n      Work and such Derivative Works in Source or Object form.\n\n   3. Grant of Patent License. Subject to the terms and conditions of\n      this License, each Contributor hereby grants to You a perpetual,\n      worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n      (except as stated in this section) patent license to make, have made,\n      use, offer to sell, sell, import, and otherwise transfer the Work,\n      where such license applies only to those patent claims licensable\n      by such Contributor that are necessarily infringed by their\n      Contribution(s) alone or by combination of their Contribution(s)\n      with the Work to which such Contribution(s) was submitted. If You\n      institute patent litigation against any entity (including a\n      cross-claim or counterclaim in a lawsuit) alleging that the Work\n      or a Contribution incorporated within the Work constitutes direct\n      or contributory patent infringement, then any patent licenses\n      granted to You under this License for that Work shall terminate\n      as of the date such litigation is filed.\n\n   4. Redistribution. You may reproduce and distribute copies of the\n      Work or Derivative Works thereof in any medium, with or without\n      modifications, and in Source or Object form, provided that You\n      meet the following conditions:\n\n      (a) You must give any other recipients of the Work or\n          Derivative Works a copy of this License; and\n\n      (b) You must cause any modified files to carry prominent notices\n          stating that You changed the files; and\n\n      (c) You must retain, in the Source form of any Derivative Works\n          that You distribute, all copyright, patent, trademark, and\n          attribution notices from the Source form of the Work,\n          excluding those notices that do not pertain to any part of\n          the Derivative Works; and\n\n      (d) If the Work includes a \"NOTICE\" text file as part of its\n          distribution, then any Derivative Works that You distribute must\n          include a readable copy of the attribution notices contained\n          within such NOTICE file, excluding those notices that do not\n          pertain to any part of the Derivative Works, in at least one\n          of the following places: within a NOTICE text file distributed\n          as part of the Derivative Works; within the Source form or\n          documentation, if provided along with the Derivative Works; or,\n          within a display generated by the Derivative Works, if and\n          wherever such third-party notices normally appear. The contents\n          of the NOTICE file are for informational purposes only and\n          do not modify the License. You may add Your own attribution\n          notices within Derivative Works that You distribute, alongside\n          or as an addendum to the NOTICE text from the Work, provided\n          that such additional attribution notices cannot be construed\n          as modifying the License.\n\n      You may add Your own copyright statement to Your modifications and\n      may provide additional or different license terms and conditions\n      for use, reproduction, or distribution of Your modifications, or\n      for any such Derivative Works as a whole, provided Your use,\n      reproduction, and distribution of the Work otherwise complies with\n      the conditions stated in this License.\n\n   5. Submission of Contributions. Unless You explicitly state otherwise,\n      any Contribution intentionally submitted for inclusion in the Work\n      by You to the Licensor shall be under the terms and conditions of\n      this License, without any additional terms or conditions.\n      Notwithstanding the above, nothing herein shall supersede or modify\n      the terms of any separate license agreement you may have executed\n      with Licensor regarding such Contributions.\n\n   6. Trademarks. This License does not grant permission to use the trade\n      names, trademarks, service marks, or product names of the Licensor,\n      except as required for reasonable and customary use in describing the\n      origin of the Work and reproducing the content of the NOTICE file.\n\n   7. Disclaimer of Warranty. Unless required by applicable law or\n      agreed to in writing, Licensor provides the Work (and each\n      Contributor provides its Contributions) on an \"AS IS\" BASIS,\n      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\n      implied, including, without limitation, any warranties or conditions\n      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A\n      PARTICULAR PURPOSE. You are solely responsible for determining the\n      appropriateness of using or redistributing the Work and assume any\n      risks associated with Your exercise of permissions under this License.\n\n   8. Limitation of Liability. In no event and under no legal theory,\n      whether in tort (including negligence), contract, or otherwise,\n      unless required by applicable law (such as deliberate and grossly\n      negligent acts) or agreed to in writing, shall any Contributor be\n      liable to You for damages, including any direct, indirect, special,\n      incidental, or consequential damages of any character arising as a\n      result of this License or out of the use or inability to use the\n      Work (including but not limited to damages for loss of goodwill,\n      work stoppage, computer failure or malfunction, or any and all\n      other commercial damages or losses), even if such Contributor\n      has been advised of the possibility of such damages.\n\n   9. Accepting Warranty or Additional Liability. While redistributing\n      the Work or Derivative Works thereof, You may choose to offer,\n      and charge a fee for, acceptance of support, warranty, indemnity,\n      or other liability obligations and/or rights consistent with this\n      License. However, in accepting such obligations, You may act only\n      on Your own behalf and on Your sole responsibility, not on behalf\n      of any other Contributor, and only if You agree to indemnify,\n      defend, and hold each Contributor harmless for any liability\n      incurred by, or claims asserted against, such Contributor by reason\n      of your accepting any such warranty or additional liability.\n\n   END OF TERMS AND CONDITIONS\n\n   APPENDIX: How to apply the Apache License to your work.\n\n      To apply the Apache License to your work, attach the following\n      boilerplate notice, with the fields enclosed by brackets \"{}\"\n      replaced with your own identifying information. (Don't include\n      the brackets!)  The text should be enclosed in the appropriate\n      comment syntax for the file format. We also recommend that a\n      file or class name and description of purpose be included on the\n      same \"printed page\" as the copyright notice for easier\n      identification within third-party archives.\n\n   Copyright (C) 2012-present   SheetJS LLC \n\n   Licensed under the Apache License, Version 2.0 (the \"License\");\n   you may not use this file except in compliance with the License.\n   You may obtain a copy of the License at\n\n       http://www.apache.org/licenses/LICENSE-2.0\n\n   Unless required by applicable law or agreed to in writing, software\n   distributed under the License is distributed on an \"AS IS\" BASIS,\n   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n   See the License for the specific language governing permissions and\n   limitations under the License.\n\n\nzone.js\nMIT\nThe MIT License\n\nCopyright (c) 2010-2020 Google LLC. http://angular.io/license\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in\nall copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\nTHE SOFTWARE.\n"
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this.apiService.get(\"interm_res\")}getExperimentInterimResults(e,t){if(e)return this.apiService.get(`interm_res/${e}${t&&\"score\"!==t?\"/\"+t:\"\"}`)}getJobsStatus(e,t){if(e&&null!=t)return this.apiService.get(`job_status?sortby=${t.sortby}&asc=${t.asc}&eid=${e}`)}getMetricsVsHparams(e){if(e)return this.apiService.get(\"metrics_vs_hparams?eid=\"+e)}getExperimentHistoryBest(e,t,n,r){if(e&&t&&n)return this.apiService.get(`experiment_history_best/${e}${r&&\"score\"!==r?\"/\"+r:\"\"}?n=${t}&sortby=${n}`)}getAllExperimentHistoryBest(e,t,n){if(e)return this.apiService.get(`experiment_history_best${n&&\"score\"!==n?\"/\"+n:\"\"}?n=${e}${t?\"&sortby=\"+t:\"\"}`)}startExperiment(e){if(e)return this.apiService.post(\"start_experiment\",Object.assign({},e))}stopExperiment(e){if(e)return this.apiService.post(\"stop_experiment\",{eid:e})}setupDB(e){if(e)return this.apiService.post(\"setup\",Object.assign({},e))}createExperiment(e){if(e)return this.apiService.post(\"create_experiment\",e)}refreshAll(){return this.apiService.post(\"refresh_all\")}deleteExperiment(e){if(e)return this.apiService.delete(\"experiment/\"+e)}}return e.\\u0275fac=function(t){return new(t||e)(K.hc(X.a),K.hc(U.a))},e.\\u0275prov=K.Tb({token:e,factory:e.\\u0275fac,providedIn:\"root\"}),e})();var J=n(\"DHDI\"),Q=n(\"ZF+8\");let q=(()=>{let e=class{constructor(e,t,n,r,i){this.service=e,this.helperService=t,this.snackbarService=n,this.utilsService=r,this.store=i}static loadingExperiment(e){return e.loadingExperiment}static loadingAllExperiments(e){return e.loadingAllExperiments}static loadingIntermResults(e){return e.loadingIntermResults}static experimentsMultiplier(e){return e.experimentsMultiplier}static refreshInterval(e){return e.refreshInterval}static refreshIntervalOptions(e){return e.refreshIntervalOptions}static refreshingInterval(e){return e.refreshingInterval}static experiments(e){return e.experiments}static selectedExperiment(e){return e.selectedExperiment}static resources(e){return e.resources}static hyperparameters(e){return e.hyperparameters}static metricsVsHparams(e){return e.metricsVsHparams}static parallelCoordinatesTrace(e){return e.parallelCoordinatesTrace}static jobs(e){return e.jobs}static jobMultipleResulsLabels(e){return e.jobsMultipleResults.labels}static jobMultipleResulsSelectedLabel(e){return e.jobsMultipleResults.selectedLabel}static jobsGraphData(e){return e.jobsGraphData}static jobsOptimizationGraphData(e){return e.jobsOptimizationGraphData}static sidenavOpen(e){return e.sidenavOpen}static intermResults(e){return e.intermResults}static interimExperiment(e){return e.interimExperiment}static interimExperimentJobs(e){return e.interimExperiment.jobs}static interimExperimentMultResLabels(e){return e.interimExperiment.multResLabels}static interimExperimentSelectedLabel(e){return e.interimExperiment.selectedLabel}static navItems(e){return e.navItems}static experimentViewType(e){return 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V.a(n)),this.snackbarService.error(this.utilsService.formatErrorMessage(t)),Object(L.a)(t)}),Object(F.a)(t=>{if(t){const n=this.utilsService.keysToCamel(t),r={bestScore:n.bestScore,experiment:n.experiment,jobStats:n.jobStats};if(r.bestScore&&r.bestScore.configList){const e=JSON.parse(r.bestScore.configList);r.bestScore.configList=e}const i=JSON.parse(r.experiment.expConfig);r.experiment.expConfig=i,e.patchState({selectedExperiment:r,loadingExperiment:!1})}}))}getHyperparameters(e,{payload:t}){if(t)return this.service.getHyperparameters(t).pipe(Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(e)};return this.store.dispatch(new V.a(t)),this.snackbarService.error(this.utilsService.formatErrorMessage(e)),Object(L.a)(e)}),Object(F.a)(t=>{if(t){const n=this.utilsService.keysToCamel(t.exp_config),r=JSON.parse(n.parameters);n.parameters=r.sort((e,t)=>this.utilsService.compare(e.name,t.name,!0)),e.patchState({hyperparameters:n})}}))}getJobStatus(e,{payload:t}){const n=e.getState(),r=n.jobsMultipleResults.selectedLabel||\"score\";if(t.eid)return this.service.getJobsStatus(t.eid,t.sortCriteria||n.jobStatusSortCriteria).pipe(Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(e)};return this.store.dispatch(new V.a(t)),this.snackbarService.error(this.utilsService.formatErrorMessage(e)),Object(L.a)(e)}),Object(F.a)(t=>{if(t&&t.job){let i=[];const s=new W.a;t.mult_res_labels&&(i=t.mult_res_labels,i.push(\"score\"));const o=[],a={x:[],y:[],hovertext:[],hoverinfo:\"text\",type:\"scatter\",mode:\"markers\",name:s.transform(r),line:{color:\"#3DDF7E\"}},c=new G.a;let l,h=1,d=null;return t.job.map(e=>{const t=this.utilsService.keysToCamel(e);t.tableData={},t.tableHyperParams={},t.tableFullData={},t.tableData[\"job ID\"]=t.jid,t.tableFullData[\"job ID\"]=t.jid,t.tableData[\"resource ID\"]=t.rid,t.tableFullData[\"resource ID\"]=t.rid,t.tableData.status=s.transform(t.status),t.tableFullData.status=s.transform(t.status),t.tableData.score=t.score,t.tableFullData.score=t.score,t.tableData[\"start time\"]=t.startTime,t.tableFullData[\"start time\"]=t.startTime,t.tableData[\"end time\"]=t.endTime,t.tableFullData[\"end time\"]=t.endTime,r?null!=e[r]&&(l=`${s.transform(r)} ${e[r]}<br>`,l+=`Job ID: ${e.jid}<br>`,a.x.push(h),a.y.push(e[r]),null===d&&this.utilsService.isNumber(e[r])&&(d=h),h++):null!=t.score&&(l=`${r}: ${t.score}<br>`,l+=`Job ID: ${t.jid}<br>`,a.x.push(h),a.y.push(t.score),null===d&&this.utilsService.isNumber(t.score)&&(d=h),h++);const n=JSON.parse(e.job_config);return 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${i.jid}<br>`,s.x.push(c),s.y.push(i[t]),null===l&&this.utilsService.isNumber(i[t])&&(l=c),c++),Object.entries(i.jobConfig).map(e=>{null!=i[t]&&(a+=`${r.transform(o.transform(e[0],[100,\"...\"]))}: ${e[1]}<br>`)}),null!=i[t]&&s.hovertext.push(a),e.patchState({jobsGraphData:s,firstValidJobNumber:l,jobsMultipleResults:Object.assign(Object.assign({},n.jobsMultipleResults),{selectedLabel:t})})})}getExperimentHistory(e,{payload:t}){const n=e.getState();if(!t)return;const r=t.n||n.jobsMultiplier;return this.service.getExperimentHistoryBest(t.eid,r,t.sortby||\"jid\",n.jobsMultipleResults.selectedLabel).pipe(Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(e)};return this.store.dispatch(new V.a(t)),this.snackbarService.error(this.utilsService.formatErrorMessage(e)),Object(L.a)(e)}),Object(F.a)(t=>{if(t&&t.experiment_history_best&&t.experiment_history_best.length){const i={x:[],y:[],hovertext:[],hoverinfo:\"text\",type:\"scatter\",mode:\"lines+markers\",name:\"Best Results\",line:{color:\"#f44336\"}},s=new W.a,o=new G.a;let a;const c=[],l=n.jobsMultipleResults.selectedLabel||\"score\";let h=n.firstValidJobNumber;if(t.experiment_history_best.map(e=>{a=`${s.transform(l)}: ${e.score}<br>`,a+=`Job ID: ${e.jid}<br>`,null!=e.score&&(c.push(h),i.y.push(e.score),h++);const t=JSON.parse(e.job_config);Object.entries(t).map(e=>{a+=`${s.transform(o.transform(e[0],[100,\"...\"]))}: ${e[1]}<br>`}),i.hovertext.push(a)}),n.jobsGraphData&&n.jobsGraphData.x.length){const e=c[c.length-1],t=c.slice(),n=t.findIndex(t=>t===e);if(-1!==n){const r=t.slice(n),s=t.indexOf(e);t.splice(s);const o=t.concat(r);i.x=o}else i.x=c}else i.x=c;e.patchState({jobsOptimizationGraphData:i,jobsMultiplier:r})}}))}getMetricVsHparams(e,{payload:t}){if(t)return this.service.getMetricsVsHparams(t).pipe(Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(e)};return this.store.dispatch(new V.a(t)),this.snackbarService.error(this.utilsService.formatErrorMessage(e)),Object(L.a)(e)}),Object(F.a)(t=>{if(t&&t.metrics_vs_hparams){const n=this.utilsService.keysToCamel(t.metrics_vs_hparams);if(n&&n.length>0){n.sort((e,t)=>e.score>t.score?1:-1);const t=[];Object.keys(n[0]).reverse().map(e=>t.push({label:e,values:[]}));const r=n.map(e=>isNaN(e.score)?0:e.score);n.map(e=>{t.map(t=>\"score\"===t.label&&isNaN(e[t.label])?t.values.push(0):t.values.push(e[t.label]))}),e.patchState({metricsVsHparams:n,parallelCoordinatesTrace:{type:\"parcoords\",line:{showscale:!0,reversescale:!0,colorscale:\"Jet\",cmin:n[0].score,cmax:n[n.length-1].score,color:r},dimensions:t}})}else e.patchState({metricsVsHparams:n,parallelCoordinatesTrace:null})}}))}startExperiment(e,{payload:t}){const n=e.getState();if(t)return this.service.startExperiment(t).pipe(Object(N.a)(t=>{if(t){const r=n.experiments.slice();let i=this.utilsService.keysToCamel(t);i=Object.assign(Object.assign({},i),{expConfigDetails:JSON.parse(i.expConfig)});const s=r.findIndex(e=>e.eid===i.eid);-1!==s&&(r[s]=i),e.patchState({experiments:r});const o=\"Experiment started!\",a={type:Z.a.SUCCESS,receivedAt:(new Date).getTime(),message:o};this.store.dispatch(new V.a(a)),this.snackbarService.success(o)}}),Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(e)};return this.store.dispatch(new V.a(t)),this.snackbarService.error(this.utilsService.formatErrorMessage(e)),Object(L.a)(e)}))}stopExperiment(e,{payload:t}){const n=e.getState();if(t)return this.service.stopExperiment(t).pipe(Object(N.a)(t=>{if(t){const r=n.experiments.slice();let i=this.utilsService.keysToCamel(t);i=Object.assign(Object.assign({},i),{expConfigDetails:JSON.parse(i.expConfig)});const s=r.findIndex(e=>e.eid===i.eid);-1!==s&&(r[s]=i),e.patchState({experiments:r});const o=\"Experiment stopped!\",a={type:Z.a.SUCCESS,receivedAt:(new Date).getTime(),message:o};return this.store.dispatch(new V.a(a)),void this.snackbarService.success(o)}}),Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(e)};return this.store.dispatch(new V.a(t)),this.snackbarService.error(this.utilsService.formatErrorMessage(e)),Object(L.a)(e)}))}setupDatabase(e,{payload:t}){if(t)return this.service.setupDB(t).pipe(Object(N.a)(e=>{e&&(this.snackbarService.success(\"Setup completed\"),this.store.dispatch(new V.c).subscribe(()=>{this.store.dispatch(new M.a([\"/list\"]))}))}),Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(e)};return this.store.dispatch(new V.a(t)),this.snackbarService.error(this.utilsService.formatErrorMessage(e)),Object(L.a)(e)}))}getInterimResults(e){const t=e.getState();return e.patchState({loadingIntermResults:!0}),this.service.getInterimResults().pipe(Object(N.a)(n=>{if(n&&n.length)e.patchState({intermResults:n,loadingIntermResults:!1});else{const n=t.navItems.slice(),r=n.findIndex(e=>\"interm\"===e.route);-1!==r&&(n[r].disabled=!0),e.patchState({navItems:n,loadingIntermResults:!1})}}),Object(P.a)(t=>{e.patchState({loadingIntermResults:!1});const n={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(t)};return this.store.dispatch(new V.a(n)),this.snackbarService.error(this.utilsService.formatErrorMessage(t)),Object(L.a)(t)}))}getExperimentInterimResults(e,{payload:t}){if(!t)return;const n=e.getState(),r=t.label||n.interimExperiment.selectedLabel;return n.intermResults&&n.intermResults.length?this.service.getExperimentInterimResults(t.eid,r).pipe(Object(N.a)(t=>{if(t){const n=t;n.multResLabels&&n.multResLabels.length&&n.multResLabels.push(\"score\"),e.patchState({interimExperiment:Object.assign(Object.assign({},n),{selectedLabel:r||(n.multResLabels&&n.multResLabels.length?n.multResLabels[n.multResLabels.length-1]:null)})})}}),Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new Date).getTime(),message:this.utilsService.formatErrorMessage(e)};return this.store.dispatch(new V.a(t)),this.snackbarService.error(this.utilsService.formatErrorMessage(e)),Object(L.a)(e)})):void 0}setInterimExperiment(e,{payload:t}){t&&e.patchState({interimExperiment:t})}createExperiment(e,{payload:t}){if(t)return this.service.createExperiment(t).pipe(Object(N.a)(e=>{if(e){const e=\"Experiment created!\",t={type:Z.a.SUCCESS,receivedAt:(new Date).getTime(),message:e};return this.store.dispatch(new V.a(t)),this.snackbarService.success(e),void this.store.dispatch(new M.a([\"/list\"]))}}),Object(P.a)(e=>{const t={type:Z.a.ERROR,receivedAt:(new 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mr{constructor(e,t){this.extension=e,this.contentTypeHeader=t}}const Cr=\";charset=utf-8\",br=gr.TXT+\"/\",vr=\"application/octet-stream\",Ir=\".\",Ar=Ir+gr.XLSX,yr=Ir+gr.CSV,wr=Ir+gr.JSON,Sr=Ir+gr.TXT,xr=new mr(Ir+gr.XLS,vr+Cr),Er=new mr(Ar,vr+Cr),kr=new mr(wr,br+JSON+Cr),_r=new mr(Sr,br+gr.TXT+Cr),Tr=new mr(yr,br+gr.CSV+Cr),Rr=\".*.\"+gr.XLS+\"$\";class Br{static save(e,t,n){const r=new Blob([e],{type:t.contentTypeHeader});let i=\"mat-table-exporter\";n&&n.fileName&&(i=n.fileName),Object(ur.saveAs)(r,i+t.extension)}static isXls(e){return null!=e.toLowerCase().match(Rr)}static identifyExportType(e){return e&&Br.isXls(e)?gr.XLS:gr.XLSX}static removeExtension(e){e.fileName=e.fileName.split(Ir)[0]}}class Or{constructor(){}export(e,t){if(!e)throw new Error(\"Empty json array is provided, rows parameter is mandatory!\");const n=this.createContent(e,t),r=this.getMimeType();Br.save(n,r,t)}}class Lr extends Or{constructor(){super()}createContent(e,t){const n=dr.utils.json_to_sheet(e,{skipHeader:!0});return this.workSheetToContent(n,t)}}let Pr=(()=>{let e=class extends Lr{constructor(){super()}workSheetToContent(e,t){var n,r;return dr.utils.sheet_to_csv(e,{FS:(r=null===(n=t)||void 0===n?void 0:n.delimiter,null!=r?r:\",\")})}getMimeType(){return Tr}};return e.\\u0275fac=function(t){return new(t||e)},e.\\u0275prov=Object(K.Tb)({factory:function(){return new e},token:e,providedIn:\"root\"}),e})(),Fr=(()=>{let e=class extends Or{constructor(){super()}createContent(e,t){let n=\"\";return e.forEach(e=>{n+=Object.values(e).join(this.getDelimiter(t))+\"\\n\"}),n}getMimeType(){return _r}getDelimiter(e){return e&&e.delimiter?e.delimiter:\"\\t\"}};return e.\\u0275fac=function(t){return new(t||e)},e.\\u0275prov=Object(K.Tb)({factory:function(){return new e},token:e,providedIn:\"root\"}),e})(),Nr=(()=>{let e=class extends Lr{constructor(){super()}workSheetToContent(e,t={}){const n=dr.utils.book_new();return 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this.getDataSource().paginator}enablePaginator(e){this.getPaginator()&&(this.getPaginator().disabled=!e,this.getPaginator()._changePageSize(this.getPaginator().pageSize))}};return e.\\u0275fac=function(t){return new(t||e)(K.Xb(K.O),K.Xb($r),K.Xb(pr),K.Xb(Je.j,11))},e.\\u0275dir=K.Sb({type:e,selectors:[[\"\",\"matTableExporter\",\"\"]],exportAs:[\"matTableExporter\"],features:[K.Ib]}),e})(),Gr=(()=>{let e=class{};return e.\\u0275mod=K.Vb({type:e}),e.\\u0275inj=K.Ub({factory:function(t){return new(t||e)},imports:[[Je.l,fr]]}),e})();function Vr(e,t){if(1&e&&(K.dc(0,\"mat-option\",35),K.Oc(1),K.cc()),2&e){const e=t.$implicit;K.vc(\"value\",e),K.Lb(1),K.Qc(\" \",e,\" \")}}function jr(e,t){if(1&e){const e=K.ec();K.dc(0,\"mat-form-field\",32),K.dc(1,\"mat-label\"),K.Oc(2,\" Y-axis \"),K.cc(),K.dc(3,\"mat-select\",33),K.lc(\"selectionChange\",(function(t){return K.Ec(e),K.pc().selectLabel(t.value)})),K.Mc(4,Vr,2,2,\"mat-option\",34),K.cc(),K.cc()}if(2&e){const 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0:t.params.subscribe(e=>{this.experimentId=e.id,this.selectedCols=[],this.allColumns=[]})),this.subscriptions.add(this.jobs$.subscribe(e=>{e&&e.length&&(this.jobs=e,this.displayedColumns=Object.keys(this.jobs[0].tableData),this.selectedCols&&this.selectedCols.length||(this.selectedCols=this.displayedColumns.slice()),this.displayedHyperparamsColumns=Object.keys(this.jobs[0].tableHyperParams),this.allColumns=this.displayedColumns.concat(this.displayedHyperparamsColumns),this.columnsToDisplay=this.selectedCols.slice(),this.jobs.map(e=>{this.tableHyperparamsData.push(e.tableHyperParams),this.tableFullData.push(e.tableFullData)}),this.dataSource.data=this.tableFullData.slice(),this.dataSource.paginator=this.paginator,this.dataSource.sort=this.sort,this.cdRef.markForCheck())})),this.subscriptions.add(this.jobsGraphData$.subscribe(e=>{e&&(this.jobsGraphData=e,this.linePlot.data=[],this.linePlot.data=[this.jobsGraphData],this.cdRef.markForCheck())})),this.subscriptions.add(this.jobsOptimizationGraphData$.subscribe(e=>{e&&(this.jobsOptimizationGraphData=e,this.linePlot.data.push(e),this.cdRef.markForCheck())})),this.subscriptions.add(this.theme$.subscribe(e=>{e&&(this.theme=e,this.toggleChartTheme())})),this.subscriptions.add(this.refreshInterval$.subscribe(e=>{e&&(this.refreshIntervalSubscription&&e!==this.refreshInterval&&this.refreshIntervalSubscription.unsubscribe(),this.refreshInterval=e,this.refreshIntervalSubscription=this.refreshIntervalData().subscribe())})),this.subscriptions.add(this.refreshingInterval$.subscribe(e=>{e&&(this.refreshData(),this.snackbarService.success(\"Data refreshed!\"),this.store.dispatch(new w(!1)))})),this.subscriptions.add(this.jobMultipleResulsLabels$.subscribe(e=>{this.jobMultipleResulsLabels=e,this.cdRef.markForCheck()})),this.subscriptions.add(this.jobMultipleResulsSelectedLabel$.subscribe(e=>{this.jobMultipleResulsSelectedLabel=e,this.selectedLabel.patchValue(e),this.cdRef.markForCheck()}))}toggleChartTheme(){this.theme&&(this.linePlot.layout=\"dark\"===this.theme.name?this.changeDarkModeChart():this.changeLightModeChart(),this.cdRef.markForCheck())}get exportedName(){return\"jobStatus-\"+(new Date).getTime()/1e3}selectHyperparams(e){e&&(this.selectedCols=e.value,this.dataSource.data=this.tableFullData.slice(),this.selectedCols=this.pushColumnToEnd(\"start time\",this.selectedCols),this.selectedCols=this.pushColumnToEnd(\"end time\",this.selectedCols),this.columnsToDisplay=this.selectedCols?this.selectedCols.slice():[],this.cdRef.markForCheck())}pushColumnToEnd(e,t){if(!e||!t||!t.length)return;const n=t.findIndex(t=>t===e);return-1!==n&&(t.splice(n,1),t.push(e)),t}downloadGraph(){const e=this.plotlyService.getInstanceByDivId(\"jobStatus\");this.plotlyService.getPlotly().downloadImage(e,{format:\"png\",width:\"1000\",height:\"450\",filename:\"jobStatus\"})}toggleExperiment(e){e&&(this.experimentId=e,this.cleanData(),this.yAxisLabel=\"score\",this.toggleChartTheme(),this.store.dispatch(new O(this.yAxisLabel)).subscribe(()=>{this.store.dispatch(new m({eid:this.experimentId})),this.optimizationCurve&&this.store.dispatch(new C({eid:this.experimentId})),this.store.dispatch(new M.a([`experiment/${e}/job-status`])),this.cdRef.markForCheck()}))}cleanData(){this.optimizationCurve=!0,this.columnsToDisplay=[],this.displayedHyperparamsColumns=[],this.tableHyperparamsData=[],this.tableFullData=[]}refreshIntervalData(){if(this.refreshInterval)return d(1e3*this.refreshInterval).pipe(Object(ee.a)(0),Object(F.a)(()=>{console.log(\"Fetching job status 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new(t||e)(K.Xb(o.i),K.Xb(i.a),K.Xb(i.g),K.Xb(K.j),K.Xb(Q.b),K.Xb(cr.c),K.Xb(Q.c))},e.\\u0275cmp=K.Rb({type:e,selectors:[[\"app-job-status\"]],viewQuery:function(e,t){if(1&e&&(K.Ic(at.a,!0),K.Ic(Ye.a,!0)),2&e){let e;K.Ac(e=K.mc())&&(t.paginator=e.first),K.Ac(e=K.mc())&&(t.sort=e.first)}},decls:72,vars:41,consts:[[1,\"mat-headline\"],[\"fxLayout\",\"row\",\"fxLayoutAlign\",\"space-between center\",1,\"mt-5\",\"w-full\"],[1,\"mr-3\",\"w-full\",3,\"experimentId\",\"toggleExperiment\"],[\"appearance\",\"outline\",\"class\",\"w-full mr-3\",4,\"ngIf\"],[1,\"mr-5\",3,\"ngModel\",\"change\",\"ngModelChange\"],[\"fxLayoutAlign\",\"space-between center\",1,\"w-full\",\"mb-4\",\"mr-3\"],[\"matTooltip\",\"Current view will be 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K.Ec(e),K.Bc(25).exportTable(\"txt\",{fileName:t.exportedName})})),K.Oc(42),K.qc(43,\"uppercase\"),K.cc(),K.cc(),K.dc(44,\"mat-menu\",22,23),K.dc(46,\"mat-toolbar\",24),K.dc(47,\"div\",25),K.dc(48,\"button\",26),K.dc(49,\"mat-icon\"),K.Oc(50,\"close\"),K.cc(),K.cc(),K.cc(),K.cc(),K.dc(51,\"mat-drawer-container\",27),K.dc(52,\"div\",28),K.dc(53,\"div\",29),K.Oc(54,\" On the graph: \"),K.dc(55,\"ul\",30),K.dc(56,\"li\"),K.Oc(57,\"zoom out/in: place mouse on the graph and scroll up/down\"),K.cc(),K.dc(58,\"li\"),K.Oc(59,\"zoom in a specific area: click mouse anywhere on the graph and drag it to draw a square\"),K.cc(),K.dc(60,\"li\"),K.Oc(61,\"change the axis range: drag the label on x-axis or y-axis\"),K.cc(),K.dc(62,\"li\"),K.Oc(63,\"show/hide data: click on the corresponding legend\"),K.cc(),K.dc(64,\"li\"),K.Oc(65,\"show details of each job: hover over the data point\"),K.cc(),K.dc(66,\"li\"),K.Oc(67,\"go back to default view: double-click on anywhere on the 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yr=[\"CodePage\",\"Thumbnail\",\"_PID_LINKBASE\",\"_PID_HLINKS\",\"SystemIdentifier\",\"FMTID\"].concat([\"Worksheets\",\"SheetNames\",\"NamedRanges\",\"DefinedNames\",\"Chartsheets\",\"ChartNames\"]);function wr(e){switch(typeof e){case\"boolean\":return 11;case\"number\":return(0|e)==e?3:5;case\"string\":return 31;case\"object\":if(e instanceof Date)return 64}return-1}function Sr(e,t,n){var r=Lt(8),i=[],s=[],o=8,a=0,c=Lt(8),l=Lt(8);if(c.write_shift(4,2),c.write_shift(4,1200),l.write_shift(4,1),s.push(c),i.push(l),o+=8+c.length,!t){(l=Lt(8)).write_shift(4,0),i.unshift(l);var h=[Lt(4)];for(h[0].write_shift(4,e.length),a=0;a<e.length;++a){var d=e[a][0];for((c=Lt(8+2*(d.length+1)+(d.length%2?0:2))).write_shift(4,a+2),c.write_shift(4,d.length+1),c.write_shift(0,d,\"dbcs\");c.l!=c.length;)c.write_shift(1,0);h.push(c)}c=E(h),s.unshift(c),o+=8+c.length}for(a=0;a<e.length;++a)if((!t||t[e[a][0]])&&!(yr.indexOf(e[a][0])>-1)&&null!=e[a][1]){var u=e[a][1],f=0;if(t){var g=n[f=+t[e[a][0]]];if(\"version\"==g.p&&\"string\"==typeof u){var p=u.split(\".\");u=(+p[0]<<16)+(+p[1]||0)}c=Ir(g.t,u)}else{var m=wr(u);-1==m&&(m=31,u=String(u)),c=Ir(m,u)}s.push(c),(l=Lt(8)).write_shift(4,t?f:2+a),i.push(l),o+=8+c.length}var C=8*(s.length+1);for(a=0;a<s.length;++a)i[a].write_shift(4,C),C+=s[a].length;return r.write_shift(4,o),r.write_shift(4,s.length),E([r].concat(i).concat(s))}function xr(e,t,n){var r=e.content;if(!r)return{};Bt(r,0);var i,s,o,a,c=0;r.chk(\"feff\",\"Byte Order: \"),r.read_shift(2);var l=r.read_shift(4),h=r.read_shift(16);if(h!==N.utils.consts.HEADER_CLSID&&h!==n)throw new Error(\"Bad PropertySet CLSID \"+h);if(1!==(i=r.read_shift(4))&&2!==i)throw new Error(\"Unrecognized #Sets: \"+i);if(s=r.read_shift(16),a=r.read_shift(4),1===i&&a!==r.l)throw new Error(\"Length mismatch: \"+a+\" !== \"+r.l);2===i&&(o=r.read_shift(16),c=r.read_shift(4));var d,u=Ar(r,t),f={SystemIdentifier:l};for(var g in u)f[g]=u[g];if(f.FMTID=s,1===i)return f;if(c-r.l==2&&(r.l+=2),r.l!==c)throw new Error(\"Length mismatch 2: \"+r.l+\" !== \"+c);try{d=Ar(r,null)}catch(El){}for(g in d)f[g]=d[g];return f.FMTID=[s,o],f}function Er(e,t,n,r,i,s){var o=Lt(i?68:48),a=[o];o.write_shift(2,65534),o.write_shift(2,0),o.write_shift(4,842412599),o.write_shift(16,N.utils.consts.HEADER_CLSID,\"hex\"),o.write_shift(4,i?2:1),o.write_shift(16,t,\"hex\"),o.write_shift(4,i?68:48);var c=Sr(e,n,r);if(a.push(c),i){var l=Sr(i,null,null);o.write_shift(16,s,\"hex\"),o.write_shift(4,68+c.length),a.push(l)}return E(a)}function kr(e,t){return e.read_shift(t),null}function _r(e,t){return 1===e.read_shift(t)}function Tr(e,t){return t||(t=Lt(2)),t.write_shift(2,+!!e),t}function Rr(e){return e.read_shift(2,\"u\")}function Br(e,t){return t||(t=Lt(2)),t.write_shift(2,e),t}function Or(e,t){return function(e,t,n){for(var r=[],i=e.l+t;e.l<i;)r.push(n(e,i-e.l));if(i!==e.l)throw new Error(\"Slurp error\");return r}(e,t,Rr)}function Lr(e,t,n){var i=e.read_shift(n&&n.biff>=12?2:1),s=\"sbcs-cont\",o=r;n&&n.biff>=8&&(r=1200),n&&8!=n.biff?12==n.biff&&(s=\"wstr\"):e.read_shift(1)&&(s=\"dbcs-cont\"),n.biff>=2&&n.biff<=5&&(s=\"cpstr\");var a=i?e.read_shift(i,s):\"\";return r=o,a}function Pr(e){var t=r;r=1200;var n,i=e.read_shift(2),s=e.read_shift(1),o=4&s,a=8&s,c=1+(1&s),l=0,h={};a&&(l=e.read_shift(2)),o&&(n=e.read_shift(4));var d=0===i?\"\":e.read_shift(i,2==c?\"dbcs-cont\":\"sbcs-cont\");return a&&(e.l+=4*l),o&&(e.l+=n),h.t=d,a||(h.raw=\"<t>\"+h.t+\"</t>\",h.r=h.t),r=t,h}function Fr(e,t,n){if(n){if(n.biff>=2&&n.biff<=5)return e.read_shift(t,\"cpstr\");if(n.biff>=12)return e.read_shift(t,\"dbcs-cont\")}var r=e.read_shift(1);return e.read_shift(t,0===r?\"sbcs-cont\":\"dbcs-cont\")}function Nr(e,t,n){var r=e.read_shift(n&&2==n.biff?1:2);return 0===r?(e.l++,\"\"):Fr(e,r,n)}function Mr(e,t,n){if(n.biff>5)return Nr(e,0,n);var r=e.read_shift(1);return 0===r?(e.l++,\"\"):e.read_shift(r,n.biff<=4||!e.lens?\"cpstr\":\"sbcs-cont\")}function Dr(e,t,n){return n||(n=Lt(3+2*e.length)),n.write_shift(2,e.length),n.write_shift(1,1),n.write_shift(31,e,\"utf16le\"),n}function $r(e){var t=e.read_shift(4);return t>0?e.read_shift(t,\"utf16le\").replace(k,\"\"):\"\"}function Wr(e){var t=Lt(512),n=0,r=e.Target,i=r.indexOf(\"#\")>-1?31:23;switch(r.charAt(0)){case\"#\":i=28;break;case\".\":i&=-3}t.write_shift(4,2),t.write_shift(4,i);var s=[8,6815827,6619237,4849780,83];for(n=0;n<s.length;++n)t.write_shift(4,s[n]);if(28==i){for(r=r.slice(1),t.write_shift(4,r.length+1),n=0;n<r.length;++n)t.write_shift(2,r.charCodeAt(n));t.write_shift(2,0)}else if(2&i){for(s=\"e0 c9 ea 79 f9 ba ce 11 8c 82 00 aa 00 4b a9 0b\".split(\" \"),n=0;n<s.length;++n)t.write_shift(1,parseInt(s[n],16));for(t.write_shift(4,2*(r.length+1)),n=0;n<r.length;++n)t.write_shift(2,r.charCodeAt(n));t.write_shift(2,0)}else{for(s=\"03 03 00 00 00 00 00 00 c0 00 00 00 00 00 00 46\".split(\" \"),n=0;n<s.length;++n)t.write_shift(1,parseInt(s[n],16));for(var o=0;\"../\"==r.slice(3*o,3*o+3)||\"..\\\\\"==r.slice(3*o,3*o+3);)++o;for(t.write_shift(2,o),t.write_shift(4,r.length+1),n=0;n<r.length;++n)t.write_shift(1,255&r.charCodeAt(n));for(t.write_shift(1,0),t.write_shift(2,65535),t.write_shift(2,57005),n=0;n<6;++n)t.write_shift(4,0)}return t.slice(0,t.l)}function Hr(e){return[e.read_shift(1),e.read_shift(1),e.read_shift(1),e.read_shift(1)]}function Gr(e,t){var n=Hr(e);return n[3]=0,n}function Vr(e){return{r:e.read_shift(2),c:e.read_shift(2),ixfe:e.read_shift(2)}}function jr(e,t,n,r){return r||(r=Lt(6)),r.write_shift(2,e),r.write_shift(2,t),r.write_shift(2,n||0),r}function Zr(e,t,n){var r=n.biff>8?4:2;return[e.read_shift(r),e.read_shift(r,\"i\"),e.read_shift(r,\"i\")]}function zr(e){return[e.read_shift(2),Cn(e)]}function Kr(e){var t=e.read_shift(2),n=e.read_shift(2);return{s:{c:e.read_shift(2),r:t},e:{c:e.read_shift(2),r:n}}}function Xr(e,t){return t||(t=Lt(8)),t.write_shift(2,e.s.r),t.write_shift(2,e.e.r),t.write_shift(2,e.s.c),t.write_shift(2,e.e.c),t}function Ur(e){var t=e.read_shift(2),n=e.read_shift(2);return{s:{c:e.read_shift(1),r:t},e:{c:e.read_shift(1),r:n}}}var Yr=Ur;function Jr(e){e.l+=4;var t=e.read_shift(2),n=e.read_shift(2),r=e.read_shift(2);return e.l+=12,[n,t,r]}function Qr(e){e.l+=2,e.l+=e.read_shift(2)}var qr={0:Qr,4:Qr,5:Qr,6:Qr,7:function(e){return e.l+=4,e.cf=e.read_shift(2),{}},8:Qr,9:Qr,10:Qr,11:Qr,12:Qr,13:function(e){var t={};return e.l+=4,e.l+=16,t.fSharedNote=e.read_shift(2),e.l+=4,t},14:Qr,15:Qr,16:Qr,17:Qr,18:Qr,19:Qr,20:Qr,21:Jr};function ei(e,t){var n={BIFFVer:0,dt:0};switch(n.BIFFVer=e.read_shift(2),(t-=2)>=2&&(n.dt=e.read_shift(2),e.l-=2),n.BIFFVer){case 1536:case 1280:case 1024:case 768:case 512:case 2:case 7:break;default:if(t>6)throw new Error(\"Unexpected BIFF Ver \"+n.BIFFVer)}return e.read_shift(t),n}function ti(e,t,n){var r=1536,i=16;switch(n.bookType){case\"biff8\":break;case\"biff5\":r=1280,i=8;break;case\"biff4\":r=4,i=6;break;case\"biff3\":r=3,i=6;break;case\"biff2\":r=2,i=4;break;case\"xla\":break;default:throw new Error(\"unsupported BIFF version\")}var s=Lt(i);return s.write_shift(2,r),s.write_shift(2,t),i>4&&s.write_shift(2,29282),i>6&&s.write_shift(2,1997),i>8&&(s.write_shift(2,49161),s.write_shift(2,1),s.write_shift(2,1798),s.write_shift(2,0)),s}function ni(e,t){var n=!t||t.biff>=8?2:1,r=Lt(8+n*e.name.length);r.write_shift(4,e.pos),r.write_shift(1,e.hs||0),r.write_shift(1,e.dt),r.write_shift(1,e.name.length),t.biff>=8&&r.write_shift(1,1),r.write_shift(n*e.name.length,e.name,t.biff<8?\"sbcs\":\"utf16le\");var i=r.slice(0,r.l);return i.l=r.l,i}function ri(e,t,n){var r=0;n&&2==n.biff||(r=e.read_shift(2));var i=e.read_shift(2);return n&&2==n.biff&&(r=1-(i>>15),i&=32767),[{Unsynced:1&r,DyZero:(2&r)>>1,ExAsc:(4&r)>>2,ExDsc:(8&r)>>3},i]}function ii(e,t,n,r){var i=n&&5==n.biff;r||(r=Lt(i?3+t.length:5+2*t.length)),r.write_shift(2,e),r.write_shift(i?1:2,t.length),i||r.write_shift(1,1),r.write_shift((i?1:2)*t.length,t,i?\"sbcs\":\"utf16le\");var s=r.length>r.l?r.slice(0,r.l):r;return null==s.l&&(s.l=s.length),s}var si=Mr;function oi(e,t,n){var r=e.l+t,i=8!=n.biff&&n.biff?2:4,s=e.read_shift(i),o=e.read_shift(i),a=e.read_shift(2),c=e.read_shift(2);return e.l=r,{s:{r:s,c:a},e:{r:o,c:c}}}function ai(e,t,n,r){var i=n&&5==n.biff;return r||(r=Lt(i?16:20)),r.write_shift(2,0),e.style?(r.write_shift(2,e.numFmtId||0),r.write_shift(2,65524)):(r.write_shift(2,e.numFmtId||0),r.write_shift(2,t<<4)),r.write_shift(4,0),r.write_shift(4,0),i||r.write_shift(4,0),r.write_shift(2,0),r}function ci(e,t,n){var r=Vr(e);2==n.biff&&++e.l;var i=function(e){var t=e.read_shift(1);return 1===e.read_shift(1)?t:1===t}(e);return r.val=i,r.t=!0===i||!1===i?\"b\":\"e\",r}var li=function(e,t,n){return 0===t?\"\":Mr(e,0,n)};function hi(e,t,n){var r,i=e.read_shift(2),s={fBuiltIn:1&i,fWantAdvise:i>>>1&1,fWantPict:i>>>2&1,fOle:i>>>3&1,fOleLink:i>>>4&1,cf:i>>>5&1023,fIcon:i>>>15&1};return 14849===n.sbcch&&(r=function(e,t,n){e.l+=4;var r=e.l+(t-=4),i=Lr(e,0,n),s=e.read_shift(2);if(s!==(r-=e.l))throw new Error(\"Malformed AddinUdf: padding = \"+r+\" != \"+s);return e.l+=s,i}(e,t-2,n)),s.body=r||e.read_shift(t-2),\"string\"==typeof r&&(s.Name=r),s}var di=[\"_xlnm.Consolidate_Area\",\"_xlnm.Auto_Open\",\"_xlnm.Auto_Close\",\"_xlnm.Extract\",\"_xlnm.Database\",\"_xlnm.Criteria\",\"_xlnm.Print_Area\",\"_xlnm.Print_Titles\",\"_xlnm.Recorder\",\"_xlnm.Data_Form\",\"_xlnm.Auto_Activate\",\"_xlnm.Auto_Deactivate\",\"_xlnm.Sheet_Title\",\"_xlnm._FilterDatabase\"];function ui(e,t,n){var r=e.l+t,i=e.read_shift(2),s=e.read_shift(1),o=e.read_shift(1),a=e.read_shift(n&&2==n.biff?1:2),c=0;(!n||n.biff>=5)&&(5!=n.biff&&(e.l+=2),c=e.read_shift(2),5==n.biff&&(e.l+=2),e.l+=4);var l=Fr(e,o,n);32&i&&(l=di[l.charCodeAt(0)]);var h=r-e.l;return n&&2==n.biff&&--h,{chKey:s,Name:l,itab:c,rgce:r==e.l||0===a?[]:function(e,t,n,r){var i,s=e.l+t,o=To(e,r,n);return s!==e.l&&(i=_o(e,s-e.l,o,n)),[o,i]}(e,h,n,a)}}function fi(e,t,n){if(n.biff<8)return function(e,t,n){3==e[e.l+1]&&e[e.l]++;var r=Lr(e,0,n);return 3==r.charCodeAt(0)?r.slice(1):r}(e,0,n);for(var r=[],i=e.l+t,s=e.read_shift(n.biff>8?4:2);0!=s--;)r.push(Zr(e,0,n));if(e.l!=i)throw new Error(\"Bad ExternSheet: \"+e.l+\" != \"+i);return r}function gi(e,t,n){var r=Yr(e,6);switch(n.biff){case 2:e.l++,t-=7;break;case 3:case 4:e.l+=2,t-=8;break;default:e.l+=6,t-=12}return[r,Fo(e,t,n)]}var pi=[];function mi(e){var t=Lt(24),n=zt(e[0]);t.write_shift(2,n.r),t.write_shift(2,n.r),t.write_shift(2,n.c),t.write_shift(2,n.c);for(var r=\"d0 c9 ea 79 f9 ba ce 11 8c 82 00 aa 00 4b a9 0b\".split(\" \"),i=0;i<16;++i)t.write_shift(1,parseInt(r[i],16));return E([t,Wr(e[1])])}function Ci(e){var t=e[1].Tooltip,n=Lt(10+2*(t.length+1));n.write_shift(2,2048);var 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k=\"\";if(14849==((r[E]||[])[0]||[])[0]||(1025==((r[E]||[])[0]||[])[0]?r[E][f]&&r[E][f].itab>0&&(k=r.SheetNames[r[E][f].itab-1]+\"!\"):k=r.SheetNames[f-1]+\"!\"),r[E]&&r[E][f])k+=r[E][f].Name;else if(r[0]&&r[0][f])k+=r[0][f].Name;else{var _=Oo(r,E,i).split(\";;\");_[f-1]?k=_[f-1]:k+=\"SH33TJSERRX\"}d.push(k);break}E<0&&(E=-E),r[E]&&(x=r[E][f]),x||(x={Name:\"SH33TJSERRY\"}),d.push(x.Name);break;case\"PtgParen\":var T=\"(\",R=\")\";if(p>=0){switch(m=\"\",e[0][p][1][0]){case 2:T=ee(\" \",e[0][p][1][1])+T;break;case 3:T=ee(\"\\r\",e[0][p][1][1])+T;break;case 4:R=ee(\" \",e[0][p][1][1])+R;break;case 5:R=ee(\"\\r\",e[0][p][1][1])+R;break;default:if(i.WTF)throw new Error(\"Unexpected PtgAttrSpaceType \"+e[0][p][1][0])}p=-1}d.push(T+d.pop()+R);break;case\"PtgRefErr\":case\"PtgRefErr3d\":d.push(\"#REF!\");break;case\"PtgExp\":var B={c:n.c,r:n.r};if(r.sharedf[Kt(a={c:v[1][1],r:v[1][0]})]){var O=r.sharedf[Kt(a)];d.push(Po(O,0,B,r,i))}else{var L=!1;for(s=0;s!=r.arrayf.length;++s)if(!(a.c<(o=r.arrayf[s])[0].s.c||a.c>o[0].e.c||a.r<o[0].s.r||a.r>o[0].e.r)){d.push(Po(o[1],0,B,r,i)),L=!0;break}L||d.push(v[1])}break;case\"PtgArray\":d.push(\"{\"+Ro(v[1])+\"}\");break;case\"PtgMemArea\":break;case\"PtgAttrSpace\":case\"PtgAttrSpaceSemi\":p=C;break;case\"PtgTbl\":case\"PtgMemErr\":break;case\"PtgMissArg\":d.push(\"\");break;case\"PtgAreaErr\":case\"PtgAreaErr3d\":d.push(\"#REF!\");break;case\"PtgList\":d.push(\"Table\"+v[1].idx+\"[#\"+v[1].rt+\"]\");break;case\"PtgMemAreaN\":case\"PtgMemNoMemN\":case\"PtgAttrNoop\":case\"PtgSheet\":case\"PtgEndSheet\":case\"PtgMemFunc\":case\"PtgMemNoMem\":break;case\"PtgElfCol\":case\"PtgElfColS\":case\"PtgElfColSV\":case\"PtgElfColV\":case\"PtgElfLel\":case\"PtgElfRadical\":case\"PtgElfRadicalLel\":case\"PtgElfRadicalS\":case\"PtgElfRw\":case\"PtgElfRwV\":throw new Error(\"Unsupported ELFs\");case\"PtgSxName\":default:throw new Error(\"Unrecognized Formula Token: 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Da(e,t){for(var n=0;n!=e.length;++n)for(var r=e[n],i=0;i!=t.length;++i){var s=t[i];if(null==r[s[0]])r[s[0]]=s[1];else switch(s[2]){case\"bool\":\"string\"==typeof r[s[0]]&&(r[s[0]]=Re(r[s[0]]));break;case\"int\":\"string\"==typeof r[s[0]]&&(r[s[0]]=parseInt(r[s[0]],10))}}}function $a(e,t){for(var n=0;n!=t.length;++n){var r=t[n];if(null==e[r[0]])e[r[0]]=r[1];else switch(r[2]){case\"bool\":\"string\"==typeof e[r[0]]&&(e[r[0]]=Re(e[r[0]]));break;case\"int\":\"string\"==typeof e[r[0]]&&(e[r[0]]=parseInt(e[r[0]],10))}}}function Wa(e){$a(e.WBProps,Pa),$a(e.CalcPr,Ma),Da(e.WBView,Fa),Da(e.Sheets,Na),Yo.date1904=Re(e.WBProps.date1904)}var Ha=\"][*?/\\\\\".split(\"\");function Ga(e,t){if(e.length>31){if(t)return!1;throw new Error(\"Sheet names cannot exceed 31 chars\")}var n=!0;return Ha.forEach((function(r){if(-1!=e.indexOf(r)){if(!t)throw new Error(\"Sheet name cannot contain : \\\\ / ? * [ ]\");n=!1}})),n}var 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mc(e,t,n,r){var i=n,s=[],o=t.slice(t.l,t.l+i);if(r&&r.enc&&r.enc.insitu)switch(e.n){case\"BOF\":case\"FilePass\":case\"FileLock\":case\"InterfaceHdr\":case\"RRDInfo\":case\"RRDHead\":case\"UsrExcl\":break;default:if(0===o.length)break;r.enc.insitu(o)}s.push(o),t.l+=i;for(var a=Sc[yt(t,t.l)],c=0;null!=a&&\"Continue\"===a.n.slice(0,8);)i=yt(t,t.l+2),c=t.l+4,\"ContinueFrt\"==a.n?c+=4:\"ContinueFrt\"==a.n.slice(0,11)&&(c+=12),s.push(t.slice(c,t.l+4+i)),t.l+=4+i,a=Sc[yt(t,t.l)];var l=E(s);Bt(l,0);var h=0;l.lens=[];for(var d=0;d<s.length;++d)l.lens.push(h),h+=s[d].length;return e.f(l,l.length,r)}function Cc(e,t,n){if(\"z\"!==e.t&&e.XF){var r=0;try{r=e.z||e.XF.numFmtId||0,t.cellNF&&(e.z=T._table[r])}catch(El){if(t.WTF)throw El}if(!t||!1!==t.cellText)try{e.w=\"e\"===e.t?e.w||wn[e.v]:0===r||\"General\"==r?\"n\"===e.t?(0|e.v)===e.v?T._general_int(e.v):T._general_num(e.v):T._general(e.v):T.format(r,e.v,{date1904:!!n})}catch(El){if(t.WTF)throw 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de=O[Y[2]];r||(t.dense?(u[Y[0].r]||(u[Y[0].r]=[]),r=u[Y[0].r][Y[0].c]={t:\"z\"}):r=u[Kt(Y[0])]={t:\"z\"},g.e.r=Math.max(g.e.r,Y[0].r),g.s.r=Math.min(g.s.r,Y[0].r),g.e.c=Math.max(g.e.c,Y[0].c),g.s.c=Math.min(g.s.c,Y[0].c)),r.c||(r.c=[]),r.c.push({a:Y[1],t:de.TxO.t});break;default:switch(X.n){case\"ClrtClient\":break;case\"XFExt\":Y.ext.forEach((function(e){}));break;case\"DefColWidth\":case\"DefaultRowHeight\":break;case\"ColInfo\":if(!R.cellStyles)break;for(;Y.e>=Y.s;)L[Y.e--]={width:Y.w/256},F||(F=!0,cs(Y.w/256)),ls(L[Y.e+1]);break;case\"Row\":var 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n=\"\";switch((t||{}).type||\"base64\"){case\"buffer\":return[e[0],e[1],e[2],e[3]];case\"base64\":n=m.decode(e.slice(0,24));break;case\"binary\":n=e;break;case\"array\":return[e[0],e[1],e[2],e[3]];default:throw new Error(\"Unrecognized type \"+(t&&t.type||\"undefined\"))}return[n.charCodeAt(0),n.charCodeAt(1),n.charCodeAt(2),n.charCodeAt(3)]}function ol(e,t){var n=0;e:for(;n<e.length;)switch(e.charCodeAt(n)){case 10:case 13:case 32:++n;break;case 60:return dc(e.slice(n),t);default:break e}return Ei.to_workbook(e,t)}function al(e,t,n,r){return r?(n.type=\"string\",Ei.to_workbook(e,n)):Ei.to_workbook(t,n)}function cl(e,t){if(h(),\"undefined\"!=typeof ArrayBuffer&&e instanceof ArrayBuffer)return cl(new Uint8Array(e),t);var n,r=e,i=!1,s=t||{};if(Yo={},s.dateNF&&(Yo.dateNF=s.dateNF),s.type||(s.type=C&&Buffer.isBuffer(e)?\"buffer\":\"base64\"),\"file\"==s.type&&(s.type=C?\"buffer\":\"binary\",r=function(e){if(void 0!==F)return F.readFileSync(e);if(\"undefined\"!=typeof 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this.index+=e,t},t.exports=i},{\"./dataReader\":5}],19:[function(e,t,n){\"use strict\";var r=e(\"./utils\"),i=function(e){this.data=new Uint8Array(e),this.index=0};i.prototype={append:function(e){0!==e.length&&(e=r.transformTo(\"uint8array\",e),this.data.set(e,this.index),this.index+=e.length)},finalize:function(){return this.data}},t.exports=i},{\"./utils\":21}],20:[function(e,t,n){\"use strict\";for(var r=e(\"./utils\"),i=e(\"./support\"),s=e(\"./nodeBuffer\"),o=new Array(256),a=0;a<256;a++)o[a]=a>=252?6:a>=248?5:a>=240?4:a>=224?3:a>=192?2:1;o[254]=o[254]=1;var c=function(e,t){var n;for((t=t||e.length)>e.length&&(t=e.length),n=t-1;n>=0&&128==(192&e[n]);)n--;return n<0||0===n?t:n+o[e[n]]>t?n:t},l=function(e){var t,n,i,s,a=e.length,c=new Array(2*a);for(n=0,t=0;t<a;)if((i=e[t++])<128)c[n++]=i;else if((s=o[i])>4)c[n++]=65533,t+=s-1;else{for(i&=2===s?31:3===s?15:7;s>1&&t<a;)i=i<<6|63&e[t++],s--;s>1?c[n++]=65533:i<65536?c[n++]=i:(c[n++]=55296|(i-=65536)>>10&1023,c[n++]=56320|1023&i)}return c.length!==n&&(c.subarray?c=c.subarray(0,n):c.length=n),r.applyFromCharCode(c)};n.utf8encode=function(e){return i.nodebuffer?s(e,\"utf-8\"):function(e){var t,n,r,s,o,a=e.length,c=0;for(s=0;s<a;s++)55296==(64512&(n=e.charCodeAt(s)))&&s+1<a&&56320==(64512&(r=e.charCodeAt(s+1)))&&(n=65536+(n-55296<<10)+(r-56320),s++),c+=n<128?1:n<2048?2:n<65536?3:4;for(t=i.uint8array?new Uint8Array(c):new Array(c),o=0,s=0;o<c;s++)55296==(64512&(n=e.charCodeAt(s)))&&s+1<a&&56320==(64512&(r=e.charCodeAt(s+1)))&&(n=65536+(n-55296<<10)+(r-56320),s++),n<128?t[o++]=n:n<2048?(t[o++]=192|n>>>6,t[o++]=128|63&n):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|63&n):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|63&n);return t}(e)},n.utf8decode=function(e){if(i.nodebuffer)return r.transformTo(\"nodebuffer\",e).toString(\"utf-8\");for(var t=[],n=0,s=(e=r.transformTo(i.uint8array?\"uint8array\":\"array\",e)).length;n<s;){var o=c(e,Math.min(n+65536,s));t.push(l(i.uint8array?e.subarray(n,o):e.slice(n,o))),n=o}return t.join(\"\")}},{\"./nodeBuffer\":11,\"./support\":17,\"./utils\":21}],21:[function(e,t,n){\"use strict\";var r=e(\"./support\"),i=e(\"./compressions\"),s=e(\"./nodeBuffer\");function o(e){return e}function a(e,t){for(var n=0;n<e.length;++n)t[n]=255&e.charCodeAt(n);return t}function c(e){var t=65536,r=[],i=e.length,o=n.getTypeOf(e),a=0,c=!0;try{switch(o){case\"uint8array\":String.fromCharCode.apply(null,new Uint8Array(0));break;case\"nodebuffer\":String.fromCharCode.apply(null,s(0))}}catch(d){c=!1}if(!c){for(var l=\"\",h=0;h<e.length;h++)l+=String.fromCharCode(e[h]);return l}for(;a<i&&t>1;)try{r.push(String.fromCharCode.apply(null,\"array\"===o||\"nodebuffer\"===o?e.slice(a,Math.min(a+t,i)):e.subarray(a,Math.min(a+t,i)))),a+=t}catch(d){t=Math.floor(t/2)}return r.join(\"\")}function l(e,t){for(var n=0;n<e.length;n++)t[n]=e[n];return t}n.string2binary=function(e){for(var t=\"\",n=0;n<e.length;n++)t+=String.fromCharCode(255&e.charCodeAt(n));return t},n.arrayBuffer2Blob=function(e){n.checkSupport(\"blob\");try{return new Blob([e],{type:\"application/zip\"})}catch(r){try{var t=new(window.BlobBuilder||window.WebKitBlobBuilder||window.MozBlobBuilder||window.MSBlobBuilder);return t.append(e),t.getBlob(\"application/zip\")}catch(r){throw new Error(\"Bug : can't construct the Blob.\")}}},n.applyFromCharCode=c;var h={};h.string={string:o,array:function(e){return a(e,new Array(e.length))},arraybuffer:function(e){return h.string.uint8array(e).buffer},uint8array:function(e){return a(e,new Uint8Array(e.length))},nodebuffer:function(e){return a(e,s(e.length))}},h.array={string:c,array:o,arraybuffer:function(e){return new Uint8Array(e).buffer},uint8array:function(e){return new Uint8Array(e)},nodebuffer:function(e){return s(e)}},h.arraybuffer={string:function(e){return c(new Uint8Array(e))},array:function(e){return l(new Uint8Array(e),new Array(e.byteLength))},arraybuffer:o,uint8array:function(e){return new Uint8Array(e)},nodebuffer:function(e){return s(new Uint8Array(e))}},h.uint8array={string:c,array:function(e){return l(e,new Array(e.length))},arraybuffer:function(e){return e.buffer},uint8array:o,nodebuffer:function(e){return s(e)}},h.nodebuffer={string:c,array:function(e){return l(e,new Array(e.length))},arraybuffer:function(e){return h.nodebuffer.uint8array(e).buffer},uint8array:function(e){return l(e,new Uint8Array(e.length))},nodebuffer:o},n.transformTo=function(e,t){if(t||(t=\"\"),!e)return t;n.checkSupport(e);var r=n.getTypeOf(t);return h[r][e](t)},n.getTypeOf=function(e){return\"string\"==typeof e?\"string\":\"[object Array]\"===Object.prototype.toString.call(e)?\"array\":r.nodebuffer&&s.test(e)?\"nodebuffer\":r.uint8array&&e instanceof Uint8Array?\"uint8array\":r.arraybuffer&&e instanceof ArrayBuffer?\"arraybuffer\":void 0},n.checkSupport=function(e){if(!r[e.toLowerCase()])throw new Error(e+\" is not supported by this browser\")},n.MAX_VALUE_16BITS=65535,n.MAX_VALUE_32BITS=-1,n.pretty=function(e){var t,n,r=\"\";for(n=0;n<(e||\"\").length;n++)r+=\"\\\\x\"+((t=e.charCodeAt(n))<16?\"0\":\"\")+t.toString(16).toUpperCase();return r},n.findCompression=function(e){for(var t in i)if(i.hasOwnProperty(t)&&i[t].magic===e)return i[t];return null},n.isRegExp=function(e){return\"[object RegExp]\"===Object.prototype.toString.call(e)}},{\"./compressions\":3,\"./nodeBuffer\":11,\"./support\":17}],22:[function(e,t,n){\"use strict\";var r=e(\"./stringReader\"),i=e(\"./nodeBufferReader\"),s=e(\"./uint8ArrayReader\"),o=e(\"./utils\"),a=e(\"./signature\"),c=e(\"./zipEntry\"),l=e(\"./support\"),h=e(\"./object\");function d(e,t){this.files=[],this.loadOptions=t,e&&this.load(e)}d.prototype={checkSignature:function(e){var t=this.reader.readString(4);if(t!==e)throw new Error(\"Corrupted zip or bug : unexpected signature (\"+o.pretty(t)+\", expected \"+o.pretty(e)+\")\")},readBlockEndOfCentral:function(){this.diskNumber=this.reader.readInt(2),this.diskWithCentralDirStart=this.reader.readInt(2),this.centralDirRecordsOnThisDisk=this.reader.readInt(2),this.centralDirRecords=this.reader.readInt(2),this.centralDirSize=this.reader.readInt(4),this.centralDirOffset=this.reader.readInt(4),this.zipCommentLength=this.reader.readInt(2),this.zipComment=this.reader.readString(this.zipCommentLength),this.zipComment=h.utf8decode(this.zipComment)},readBlockZip64EndOfCentral:function(){this.zip64EndOfCentralSize=this.reader.readInt(8),this.versionMadeBy=this.reader.readString(2),this.versionNeeded=this.reader.readInt(2),this.diskNumber=this.reader.readInt(4),this.diskWithCentralDirStart=this.reader.readInt(4),this.centralDirRecordsOnThisDisk=this.reader.readInt(8),this.centralDirRecords=this.reader.readInt(8),this.centralDirSize=this.reader.readInt(8),this.centralDirOffset=this.reader.readInt(8),this.zip64ExtensibleData={};for(var e,t,n,r=this.zip64EndOfCentralSize-44;0<r;)e=this.reader.readInt(2),t=this.reader.readInt(4),n=this.reader.readString(t),this.zip64ExtensibleData[e]={id:e,length:t,value:n}},readBlockZip64EndOfCentralLocator:function(){if(this.diskWithZip64CentralDirStart=this.reader.readInt(4),this.relativeOffsetEndOfZip64CentralDir=this.reader.readInt(8),this.disksCount=this.reader.readInt(4),this.disksCount>1)throw new Error(\"Multi-volumes zip are not supported\")},readLocalFiles:function(){var e,t;for(e=0;e<this.files.length;e++)this.reader.setIndex((t=this.files[e]).localHeaderOffset),this.checkSignature(a.LOCAL_FILE_HEADER),t.readLocalPart(this.reader),t.handleUTF8()},readCentralDir:function(){var e;for(this.reader.setIndex(this.centralDirOffset);this.reader.readString(4)===a.CENTRAL_FILE_HEADER;)(e=new c({zip64:this.zip64},this.loadOptions)).readCentralPart(this.reader),this.files.push(e)},readEndOfCentral:function(){var e=this.reader.lastIndexOfSignature(a.CENTRAL_DIRECTORY_END);if(-1===e)throw new Error(\"Corrupted zip : can't find end of central directory\");if(this.reader.setIndex(e),this.checkSignature(a.CENTRAL_DIRECTORY_END),this.readBlockEndOfCentral(),this.diskNumber===o.MAX_VALUE_16BITS||this.diskWithCentralDirStart===o.MAX_VALUE_16BITS||this.centralDirRecordsOnThisDisk===o.MAX_VALUE_16BITS||this.centralDirRecords===o.MAX_VALUE_16BITS||this.centralDirSize===o.MAX_VALUE_32BITS||this.centralDirOffset===o.MAX_VALUE_32BITS){if(this.zip64=!0,-1===(e=this.reader.lastIndexOfSignature(a.ZIP64_CENTRAL_DIRECTORY_LOCATOR)))throw new Error(\"Corrupted zip : can't find the ZIP64 end of central directory locator\");this.reader.setIndex(e),this.checkSignature(a.ZIP64_CENTRAL_DIRECTORY_LOCATOR),this.readBlockZip64EndOfCentralLocator(),this.reader.setIndex(this.relativeOffsetEndOfZip64CentralDir),this.checkSignature(a.ZIP64_CENTRAL_DIRECTORY_END),this.readBlockZip64EndOfCentral()}},prepareReader:function(e){var t=o.getTypeOf(e);this.reader=\"string\"!==t||l.uint8array?\"nodebuffer\"===t?new i(e):new s(o.transformTo(\"uint8array\",e)):new r(e,this.loadOptions.optimizedBinaryString)},load:function(e){this.prepareReader(e),this.readEndOfCentral(),this.readCentralDir(),this.readLocalFiles()}},t.exports=d},{\"./nodeBufferReader\":12,\"./object\":13,\"./signature\":14,\"./stringReader\":15,\"./support\":17,\"./uint8ArrayReader\":18,\"./utils\":21,\"./zipEntry\":23}],23:[function(e,t,n){\"use strict\";var r=e(\"./stringReader\"),i=e(\"./utils\"),s=e(\"./compressedObject\"),o=e(\"./object\");function a(e,t){this.options=e,this.loadOptions=t}a.prototype={isEncrypted:function(){return 1==(1&this.bitFlag)},useUTF8:function(){return 2048==(2048&this.bitFlag)},prepareCompressedContent:function(e,t,n){return function(){var r=e.index;e.setIndex(t);var i=e.readData(n);return e.setIndex(r),i}},prepareContent:function(e,t,n,r,s){return function(){var e=i.transformTo(r.uncompressInputType,this.getCompressedContent()),t=r.uncompress(e);if(t.length!==s)throw new Error(\"Bug : uncompressed data size mismatch\");return t}},readLocalPart:function(e){var t,n;if(e.skip(22),this.fileNameLength=e.readInt(2),n=e.readInt(2),this.fileName=e.readString(this.fileNameLength),e.skip(n),-1==this.compressedSize||-1==this.uncompressedSize)throw new Error(\"Bug or corrupted zip : didn't get enough informations from the central directory (compressedSize == -1 || uncompressedSize == -1)\");if(null===(t=i.findCompression(this.compressionMethod)))throw new Error(\"Corrupted zip : compression \"+i.pretty(this.compressionMethod)+\" unknown (inner file : \"+this.fileName+\")\");if(this.decompressed=new s,this.decompressed.compressedSize=this.compressedSize,this.decompressed.uncompressedSize=this.uncompressedSize,this.decompressed.crc32=this.crc32,this.decompressed.compressionMethod=this.compressionMethod,this.decompressed.getCompressedContent=this.prepareCompressedContent(e,e.index,this.compressedSize,t),this.decompressed.getContent=this.prepareContent(e,e.index,this.compressedSize,t,this.uncompressedSize),this.loadOptions.checkCRC32&&(this.decompressed=i.transformTo(\"string\",this.decompressed.getContent()),o.crc32(this.decompressed)!==this.crc32))throw new Error(\"Corrupted zip : CRC32 mismatch\")},readCentralPart:function(e){if(this.versionMadeBy=e.readString(2),this.versionNeeded=e.readInt(2),this.bitFlag=e.readInt(2),this.compressionMethod=e.readString(2),this.date=e.readDate(),this.crc32=e.readInt(4),this.compressedSize=e.readInt(4),this.uncompressedSize=e.readInt(4),this.fileNameLength=e.readInt(2),this.extraFieldsLength=e.readInt(2),this.fileCommentLength=e.readInt(2),this.diskNumberStart=e.readInt(2),this.internalFileAttributes=e.readInt(2),this.externalFileAttributes=e.readInt(4),this.localHeaderOffset=e.readInt(4),this.isEncrypted())throw new Error(\"Encrypted zip are not supported\");this.fileName=e.readString(this.fileNameLength),this.readExtraFields(e),this.parseZIP64ExtraField(e),this.fileComment=e.readString(this.fileCommentLength),this.dir=!!(16&this.externalFileAttributes)},parseZIP64ExtraField:function(e){if(this.extraFields[1]){var t=new r(this.extraFields[1].value);this.uncompressedSize===i.MAX_VALUE_32BITS&&(this.uncompressedSize=t.readInt(8)),this.compressedSize===i.MAX_VALUE_32BITS&&(this.compressedSize=t.readInt(8)),this.localHeaderOffset===i.MAX_VALUE_32BITS&&(this.localHeaderOffset=t.readInt(8)),this.diskNumberStart===i.MAX_VALUE_32BITS&&(this.diskNumberStart=t.readInt(4))}},readExtraFields:function(e){var t,n,r,i=e.index;for(this.extraFields=this.extraFields||{};e.index<i+this.extraFieldsLength;)t=e.readInt(2),n=e.readInt(2),r=e.readString(n),this.extraFields[t]={id:t,length:n,value:r}},handleUTF8:function(){if(this.useUTF8())this.fileName=o.utf8decode(this.fileName),this.fileComment=o.utf8decode(this.fileComment);else{var e=this.findExtraFieldUnicodePath();null!==e&&(this.fileName=e);var t=this.findExtraFieldUnicodeComment();null!==t&&(this.fileComment=t)}},findExtraFieldUnicodePath:function(){var e=this.extraFields[28789];if(e){var t=new r(e.value);return 1!==t.readInt(1)||o.crc32(this.fileName)!==t.readInt(4)?null:o.utf8decode(t.readString(e.length-5))}return null},findExtraFieldUnicodeComment:function(){var e=this.extraFields[25461];if(e){var t=new r(e.value);return 1!==t.readInt(1)||o.crc32(this.fileComment)!==t.readInt(4)?null:o.utf8decode(t.readString(e.length-5))}return null}},t.exports=a},{\"./compressedObject\":2,\"./object\":13,\"./stringReader\":15,\"./utils\":21}],24:[function(e,t,n){\"use strict\";var r={};(0,e(\"./lib/utils/common\").assign)(r,e(\"./lib/deflate\"),e(\"./lib/inflate\"),e(\"./lib/zlib/constants\")),t.exports=r},{\"./lib/deflate\":25,\"./lib/inflate\":26,\"./lib/utils/common\":27,\"./lib/zlib/constants\":30}],25:[function(e,t,n){\"use strict\";var r=e(\"./zlib/deflate.js\"),i=e(\"./utils/common\"),s=e(\"./utils/strings\"),o=e(\"./zlib/messages\"),a=e(\"./zlib/zstream\"),c=function(e){this.options=i.assign({level:-1,method:8,chunkSize:16384,windowBits:15,memLevel:8,strategy:0,to:\"\"},e||{});var t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg=\"\",this.ended=!1,this.chunks=[],this.strm=new a,this.strm.avail_out=0;var n=r.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(0!==n)throw new Error(o[n]);t.header&&r.deflateSetHeader(this.strm,t.header)};function l(e,t){var n=new c(t);if(n.push(e,!0),n.err)throw n.msg;return n.result}c.prototype.push=function(e,t){var n,o,a=this.strm,c=this.options.chunkSize;if(this.ended)return!1;o=t===~~t?t:!0===t?4:0,a.input=\"string\"==typeof e?s.string2buf(e):e,a.next_in=0,a.avail_in=a.input.length;do{if(0===a.avail_out&&(a.output=new i.Buf8(c),a.next_out=0,a.avail_out=c),1!==(n=r.deflate(a,o))&&0!==n)return this.onEnd(n),this.ended=!0,!1;(0===a.avail_out||0===a.avail_in&&4===o)&&this.onData(\"string\"===this.options.to?s.buf2binstring(i.shrinkBuf(a.output,a.next_out)):i.shrinkBuf(a.output,a.next_out))}while((a.avail_in>0||0===a.avail_out)&&1!==n);return 4!==o||(n=r.deflateEnd(this.strm),this.onEnd(n),this.ended=!0,0===n)},c.prototype.onData=function(e){this.chunks.push(e)},c.prototype.onEnd=function(e){0===e&&(this.result=\"string\"===this.options.to?this.chunks.join(\"\"):i.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg},n.Deflate=c,n.deflate=l,n.deflateRaw=function(e,t){return(t=t||{}).raw=!0,l(e,t)},n.gzip=function(e,t){return(t=t||{}).gzip=!0,l(e,t)}},{\"./utils/common\":27,\"./utils/strings\":28,\"./zlib/deflate.js\":32,\"./zlib/messages\":37,\"./zlib/zstream\":39}],26:[function(e,t,n){\"use strict\";var r=e(\"./zlib/inflate.js\"),i=e(\"./utils/common\"),s=e(\"./utils/strings\"),o=e(\"./zlib/constants\"),a=e(\"./zlib/messages\"),c=e(\"./zlib/zstream\"),l=e(\"./zlib/gzheader\"),h=function(e){this.options=i.assign({chunkSize:16384,windowBits:0,to:\"\"},e||{});var t=this.options;t.raw&&t.windowBits>=0&&t.windowBits<16&&(t.windowBits=-t.windowBits,0===t.windowBits&&(t.windowBits=-15)),!(t.windowBits>=0&&t.windowBits<16)||e&&e.windowBits||(t.windowBits+=32),t.windowBits>15&&t.windowBits<48&&0==(15&t.windowBits)&&(t.windowBits|=15),this.err=0,this.msg=\"\",this.ended=!1,this.chunks=[],this.strm=new c,this.strm.avail_out=0;var n=r.inflateInit2(this.strm,t.windowBits);if(n!==o.Z_OK)throw new Error(a[n]);this.header=new l,r.inflateGetHeader(this.strm,this.header)};function d(e,t){var n=new h(t);if(n.push(e,!0),n.err)throw n.msg;return n.result}h.prototype.push=function(e,t){var n,a,c,l,h,d=this.strm,u=this.options.chunkSize;if(this.ended)return!1;a=t===~~t?t:!0===t?o.Z_FINISH:o.Z_NO_FLUSH,d.input=\"string\"==typeof e?s.binstring2buf(e):e,d.next_in=0,d.avail_in=d.input.length;do{if(0===d.avail_out&&(d.output=new i.Buf8(u),d.next_out=0,d.avail_out=u),(n=r.inflate(d,o.Z_NO_FLUSH))!==o.Z_STREAM_END&&n!==o.Z_OK)return this.onEnd(n),this.ended=!0,!1;d.next_out&&(0===d.avail_out||n===o.Z_STREAM_END||0===d.avail_in&&a===o.Z_FINISH)&&(\"string\"===this.options.to?(c=s.utf8border(d.output,d.next_out),l=d.next_out-c,h=s.buf2string(d.output,c),d.next_out=l,d.avail_out=u-l,l&&i.arraySet(d.output,d.output,c,l,0),this.onData(h)):this.onData(i.shrinkBuf(d.output,d.next_out)))}while(d.avail_in>0&&n!==o.Z_STREAM_END);return n===o.Z_STREAM_END&&(a=o.Z_FINISH),a!==o.Z_FINISH||(n=r.inflateEnd(this.strm),this.onEnd(n),this.ended=!0,n===o.Z_OK)},h.prototype.onData=function(e){this.chunks.push(e)},h.prototype.onEnd=function(e){e===o.Z_OK&&(this.result=\"string\"===this.options.to?this.chunks.join(\"\"):i.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg},n.Inflate=h,n.inflate=d,n.inflateRaw=function(e,t){return(t=t||{}).raw=!0,d(e,t)},n.ungzip=d},{\"./utils/common\":27,\"./utils/strings\":28,\"./zlib/constants\":30,\"./zlib/gzheader\":33,\"./zlib/inflate.js\":35,\"./zlib/messages\":37,\"./zlib/zstream\":39}],27:[function(e,t,n){\"use strict\";var r=\"undefined\"!=typeof Uint8Array&&\"undefined\"!=typeof Uint16Array&&\"undefined\"!=typeof Int32Array;n.assign=function(e){for(var t=Array.prototype.slice.call(arguments,1);t.length;){var n=t.shift();if(n){if(\"object\"!=typeof n)throw new TypeError(n+\"must be non-object\");for(var r in n)n.hasOwnProperty(r)&&(e[r]=n[r])}}return e},n.shrinkBuf=function(e,t){return e.length===t?e:e.subarray?e.subarray(0,t):(e.length=t,e)};var i={arraySet:function(e,t,n,r,i){if(t.subarray&&e.subarray)e.set(t.subarray(n,n+r),i);else for(var s=0;s<r;s++)e[i+s]=t[n+s]},flattenChunks:function(e){var t,n,r,i,s,o;for(r=0,t=0,n=e.length;t<n;t++)r+=e[t].length;for(o=new Uint8Array(r),i=0,t=0,n=e.length;t<n;t++)o.set(s=e[t],i),i+=s.length;return o}},s={arraySet:function(e,t,n,r,i){for(var s=0;s<r;s++)e[i+s]=t[n+s]},flattenChunks:function(e){return[].concat.apply([],e)}};n.setTyped=function(e){e?(n.Buf8=Uint8Array,n.Buf16=Uint16Array,n.Buf32=Int32Array,n.assign(n,i)):(n.Buf8=Array,n.Buf16=Array,n.Buf32=Array,n.assign(n,s))},n.setTyped(r)},{}],28:[function(e,t,n){\"use strict\";var r=e(\"./common\"),i=!0,s=!0;try{String.fromCharCode.apply(null,[0])}catch(l){i=!1}try{String.fromCharCode.apply(null,new Uint8Array(1))}catch(l){s=!1}for(var o=new r.Buf8(256),a=0;a<256;a++)o[a]=a>=252?6:a>=248?5:a>=240?4:a>=224?3:a>=192?2:1;function c(e,t){if(t<65537&&(e.subarray&&s||!e.subarray&&i))return String.fromCharCode.apply(null,r.shrinkBuf(e,t));for(var n=\"\",o=0;o<t;o++)n+=String.fromCharCode(e[o]);return n}o[254]=o[254]=1,n.string2buf=function(e){var t,n,i,s,o,a=e.length,c=0;for(s=0;s<a;s++)55296==(64512&(n=e.charCodeAt(s)))&&s+1<a&&56320==(64512&(i=e.charCodeAt(s+1)))&&(n=65536+(n-55296<<10)+(i-56320),s++),c+=n<128?1:n<2048?2:n<65536?3:4;for(t=new r.Buf8(c),o=0,s=0;o<c;s++)55296==(64512&(n=e.charCodeAt(s)))&&s+1<a&&56320==(64512&(i=e.charCodeAt(s+1)))&&(n=65536+(n-55296<<10)+(i-56320),s++),n<128?t[o++]=n:n<2048?(t[o++]=192|n>>>6,t[o++]=128|63&n):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|63&n):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|63&n);return t},n.buf2binstring=function(e){return c(e,e.length)},n.binstring2buf=function(e){for(var t=new r.Buf8(e.length),n=0,i=t.length;n<i;n++)t[n]=e.charCodeAt(n);return t},n.buf2string=function(e,t){var n,r,i,s,a=t||e.length,l=new Array(2*a);for(r=0,n=0;n<a;)if((i=e[n++])<128)l[r++]=i;else if((s=o[i])>4)l[r++]=65533,n+=s-1;else{for(i&=2===s?31:3===s?15:7;s>1&&n<a;)i=i<<6|63&e[n++],s--;s>1?l[r++]=65533:i<65536?l[r++]=i:(l[r++]=55296|(i-=65536)>>10&1023,l[r++]=56320|1023&i)}return c(l,r)},n.utf8border=function(e,t){var n;for((t=t||e.length)>e.length&&(t=e.length),n=t-1;n>=0&&128==(192&e[n]);)n--;return n<0||0===n?t:n+o[e[n]]>t?n:t}},{\"./common\":27}],29:[function(e,t,n){\"use strict\";t.exports=function(e,t,n,r){for(var i=65535&e|0,s=e>>>16&65535|0,o=0;0!==n;){n-=o=n>2e3?2e3:n;do{s=s+(i=i+t[r++]|0)|0}while(--o);i%=65521,s%=65521}return 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t,n,i,a,c,l,d,u,f,g,p=e.w_size;do{if(a=e.window_size-e.lookahead-e.strstart,e.strstart>=p+(p-h)){r.arraySet(e.window,e.window,p,p,0),e.match_start-=p,e.strstart-=p,e.block_start-=p,t=n=e.hash_size;do{i=e.head[--t],e.head[t]=i>=p?i-p:0}while(--n);t=n=p;do{i=e.prev[--t],e.prev[t]=i>=p?i-p:0}while(--n);a+=p}if(0===e.strm.avail_in)break;if(d=e.window,u=e.strstart+e.lookahead,g=void 0,(g=(l=e.strm).avail_in)>(f=a)&&(g=f),n=0===g?0:(l.avail_in-=g,r.arraySet(d,l.input,l.next_in,g,u),1===l.state.wrap?l.adler=s(l.adler,d,g,u):2===l.state.wrap&&(l.adler=o(l.adler,d,g,u)),l.next_in+=g,l.total_in+=g,g),e.lookahead+=n,e.lookahead+e.insert>=3)for(e.ins_h=e.window[c=e.strstart-e.insert],e.ins_h=(e.ins_h<<e.hash_shift^e.window[c+1])&e.hash_mask;e.insert&&(e.ins_h=(e.ins_h<<e.hash_shift^e.window[c+3-1])&e.hash_mask,e.prev[c&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=c,c++,e.insert--,!(e.lookahead+e.insert<3)););}while(e.lookahead<h&&0!==e.strm.avail_in)}function w(e,t){for(var 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e.insert=0,4===t?(b(e,!0),0===e.strm.avail_out?3:4):(e.strstart>e.block_start&&b(e,!1),1)})),new E(4,4,8,4,w),new E(4,5,16,8,w),new E(4,6,32,32,w),new E(4,4,16,16,S),new E(8,16,32,32,S),new E(8,16,128,128,S),new E(8,32,128,256,S),new E(32,128,258,1024,S),new E(32,258,258,4096,S)],n.deflateInit=function(e,t){return R(e,t,8,15,8,0)},n.deflateInit2=R,n.deflateReset=T,n.deflateResetKeep=_,n.deflateSetHeader=function(e,t){return e&&e.state?2!==e.state.wrap?c:(e.state.gzhead=t,0):c},n.deflate=function(e,t){var n,r,s,a;if(!e||!e.state||t>5||t<0)return e?g(e,c):c;if(r=e.state,!e.output||!e.input&&0!==e.avail_in||r.status===f&&4!==t)return g(e,0===e.avail_out?-5:c);if(r.strm=e,n=r.last_flush,r.last_flush=t,42===r.status)if(2===r.wrap)e.adler=0,v(r,31),v(r,139),v(r,8),r.gzhead?(v(r,(r.gzhead.text?1:0)+(r.gzhead.hcrc?2:0)+(r.gzhead.extra?4:0)+(r.gzhead.name?8:0)+(r.gzhead.comment?16:0)),v(r,255&r.gzhead.time),v(r,r.gzhead.time>>8&255),v(r,r.gzhead.time>>16&255),v(r,r.gzhead.time>>24&255),v(r,9===r.level?2:r.strategy>=2||r.level<2?4:0),v(r,255&r.gzhead.os),r.gzhead.extra&&r.gzhead.extra.length&&(v(r,255&r.gzhead.extra.length),v(r,r.gzhead.extra.length>>8&255)),r.gzhead.hcrc&&(e.adler=o(e.adler,r.pending_buf,r.pending,0)),r.gzindex=0,r.status=69):(v(r,0),v(r,0),v(r,0),v(r,0),v(r,0),v(r,9===r.level?2:r.strategy>=2||r.level<2?4:0),v(r,3),r.status=u);else{var h=8+(r.w_bits-8<<4)<<8;h|=(r.strategy>=2||r.level<2?0:r.level<6?1:6===r.level?2:3)<<6,0!==r.strstart&&(h|=32),h+=31-h%31,r.status=u,I(r,h),0!==r.strstart&&(I(r,e.adler>>>16),I(r,65535&e.adler)),e.adler=1}if(69===r.status)if(r.gzhead.extra){for(s=r.pending;r.gzindex<(65535&r.gzhead.extra.length)&&(r.pending!==r.pending_buf_size||(r.gzhead.hcrc&&r.pending>s&&(e.adler=o(e.adler,r.pending_buf,r.pending-s,s)),C(e),s=r.pending,r.pending!==r.pending_buf_size));)v(r,255&r.gzhead.extra[r.gzindex]),r.gzindex++;r.gzhead.hcrc&&r.pending>s&&(e.adler=o(e.adler,r.pending_buf,r.pending-s,s)),r.gzindex===r.gzhead.extra.length&&(r.gzindex=0,r.status=73)}else r.status=73;if(73===r.status)if(r.gzhead.name){s=r.pending;do{if(r.pending===r.pending_buf_size&&(r.gzhead.hcrc&&r.pending>s&&(e.adler=o(e.adler,r.pending_buf,r.pending-s,s)),C(e),s=r.pending,r.pending===r.pending_buf_size)){a=1;break}a=r.gzindex<r.gzhead.name.length?255&r.gzhead.name.charCodeAt(r.gzindex++):0,v(r,a)}while(0!==a);r.gzhead.hcrc&&r.pending>s&&(e.adler=o(e.adler,r.pending_buf,r.pending-s,s)),0===a&&(r.gzindex=0,r.status=91)}else r.status=91;if(91===r.status)if(r.gzhead.comment){s=r.pending;do{if(r.pending===r.pending_buf_size&&(r.gzhead.hcrc&&r.pending>s&&(e.adler=o(e.adler,r.pending_buf,r.pending-s,s)),C(e),s=r.pending,r.pending===r.pending_buf_size)){a=1;break}a=r.gzindex<r.gzhead.comment.length?255&r.gzhead.comment.charCodeAt(r.gzindex++):0,v(r,a)}while(0!==a);r.gzhead.hcrc&&r.pending>s&&(e.adler=o(e.adler,r.pending_buf,r.pending-s,s)),0===a&&(r.status=d)}else r.status=d;if(r.status===d&&(r.gzhead.hcrc?(r.pending+2>r.pending_buf_size&&C(e),r.pending+2<=r.pending_buf_size&&(v(r,255&e.adler),v(r,e.adler>>8&255),e.adler=0,r.status=u)):r.status=u),0!==r.pending){if(C(e),0===e.avail_out)return r.last_flush=-1,0}else if(0===e.avail_in&&p(t)<=p(n)&&4!==t)return g(e,-5);if(r.status===f&&0!==e.avail_in)return g(e,-5);if(0!==e.avail_in||0!==r.lookahead||0!==t&&r.status!==f){var A=2===r.strategy?function(e,t){for(var n;;){if(0===e.lookahead&&(y(e),0===e.lookahead)){if(0===t)return 1;break}if(e.match_length=0,n=i._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(b(e,!1),0===e.strm.avail_out))return 1}return e.insert=0,4===t?(b(e,!0),0===e.strm.avail_out?3:4):e.last_lit&&(b(e,!1),0===e.strm.avail_out)?1:2}(r,t):3===r.strategy?function(e,t){for(var n,r,s,o,a=e.window;;){if(e.lookahead<=l){if(y(e),e.lookahead<=l&&0===t)return 1;if(0===e.lookahead)break}if(e.match_length=0,e.lookahead>=3&&e.strstart>0&&(r=a[s=e.strstart-1])===a[++s]&&r===a[++s]&&r===a[++s]){o=e.strstart+l;do{}while(r===a[++s]&&r===a[++s]&&r===a[++s]&&r===a[++s]&&r===a[++s]&&r===a[++s]&&r===a[++s]&&r===a[++s]&&s<o);e.match_length=l-(o-s),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=3?(n=i._tr_tally(e,1,e.match_length-3),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=i._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(b(e,!1),0===e.strm.avail_out))return 1}return e.insert=0,4===t?(b(e,!0),0===e.strm.avail_out?3:4):e.last_lit&&(b(e,!1),0===e.strm.avail_out)?1:2}(r,t):x[r.level].func(r,t);if(3!==A&&4!==A||(r.status=f),1===A||3===A)return 0===e.avail_out&&(r.last_flush=-1),0;if(2===A&&(1===t?i._tr_align(r):5!==t&&(i._tr_stored_block(r,0,0,!1),3===t&&(m(r.head),0===r.lookahead&&(r.strstart=0,r.block_start=0,r.insert=0))),C(e),0===e.avail_out))return r.last_flush=-1,0}return 4!==t?0:r.wrap<=0?1:(2===r.wrap?(v(r,255&e.adler),v(r,e.adler>>8&255),v(r,e.adler>>16&255),v(r,e.adler>>24&255),v(r,255&e.total_in),v(r,e.total_in>>8&255),v(r,e.total_in>>16&255),v(r,e.total_in>>24&255)):(I(r,e.adler>>>16),I(r,65535&e.adler)),C(e),r.wrap>0&&(r.wrap=-r.wrap),0!==r.pending?0:1)},n.deflateEnd=function(e){var t;return e&&e.state?42!==(t=e.state.status)&&69!==t&&73!==t&&91!==t&&t!==d&&t!==u&&t!==f?g(e,c):(e.state=null,t===u?g(e,-3):0):c},n.deflateInfo=\"pako deflate (from Nodeca project)\"},{\"../utils/common\":27,\"./adler32\":29,\"./crc32\":31,\"./messages\":37,\"./trees\":38}],33:[function(e,t,n){\"use strict\";t.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name=\"\",this.comment=\"\",this.hcrc=0,this.done=!1}},{}],34:[function(e,t,n){\"use strict\";t.exports=function(e,t){var n,r,i,s,o,a,c,l,h,d,u,f,g,p,m,C,b,v,I,A,y,w,S,x,E;x=e.input,i=(r=e.next_in)+(e.avail_in-5),E=e.output,o=(s=e.next_out)-(t-e.avail_out),a=s+(e.avail_out-257),c=(n=e.state).dmax,l=n.wsize,h=n.whave,d=n.wnext,u=n.window,f=n.hold,g=n.bits,p=n.lencode,m=n.distcode,C=(1<<n.lenbits)-1,b=(1<<n.distbits)-1;e:do{g<15&&(f+=x[r++]<<g,f+=x[r++]<<(g+=8),g+=8),v=p[f&C];t:for(;;){if(f>>>=I=v>>>24,g-=I,0==(I=v>>>16&255))E[s++]=65535&v;else{if(!(16&I)){if(0==(64&I)){v=p[(65535&v)+(f&(1<<I)-1)];continue t}if(32&I){n.mode=12;break e}e.msg=\"invalid literal/length code\",n.mode=30;break e}A=65535&v,(I&=15)&&(g<I&&(f+=x[r++]<<g,g+=8),A+=f&(1<<I)-1,f>>>=I,g-=I),g<15&&(f+=x[r++]<<g,f+=x[r++]<<(g+=8),g+=8),v=m[f&b];n:for(;;){if(f>>>=I=v>>>24,g-=I,!(16&(I=v>>>16&255))){if(0==(64&I)){v=m[(65535&v)+(f&(1<<I)-1)];continue n}e.msg=\"invalid distance code\",n.mode=30;break e}if(y=65535&v,g<(I&=15)&&(f+=x[r++]<<g,(g+=8)<I&&(f+=x[r++]<<g,g+=8)),(y+=f&(1<<I)-1)>c){e.msg=\"invalid distance too far back\",n.mode=30;break e}if(f>>>=I,g-=I,y>(I=s-o)){if((I=y-I)>h&&n.sane){e.msg=\"invalid distance too far back\",n.mode=30;break e}if(w=0,S=u,0===d){if(w+=l-I,I<A){A-=I;do{E[s++]=u[w++]}while(--I);w=s-y,S=E}}else if(d<I){if(w+=l+d-I,(I-=d)<A){A-=I;do{E[s++]=u[w++]}while(--I);if(w=0,d<A){A-=I=d;do{E[s++]=u[w++]}while(--I);w=s-y,S=E}}}else if(w+=d-I,I<A){A-=I;do{E[s++]=u[w++]}while(--I);w=s-y,S=E}for(;A>2;)E[s++]=S[w++],E[s++]=S[w++],E[s++]=S[w++],A-=3;A&&(E[s++]=S[w++],A>1&&(E[s++]=S[w++]))}else{w=s-y;do{E[s++]=E[w++],E[s++]=E[w++],E[s++]=E[w++],A-=3}while(A>2);A&&(E[s++]=E[w++],A>1&&(E[s++]=E[w++]))}break}}break}}while(r<i&&s<a);f&=(1<<(g-=(A=g>>3)<<3))-1,e.next_in=r-=A,e.next_out=s,e.avail_in=r<i?i-r+5:5-(r-i),e.avail_out=s<a?a-s+257:257-(s-a),n.hold=f,n.bits=g}},{}],35:[function(e,t,n){\"use strict\";var r=e(\"../utils/common\"),i=e(\"./adler32\"),s=e(\"./crc32\"),o=e(\"./inffast\"),a=e(\"./inftrees\"),c=-2,l=12,h=30;function d(e){return(e>>>24&255)+(e>>>8&65280)+((65280&e)<<8)+((255&e)<<24)}function u(){this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new r.Buf16(320),this.work=new r.Buf16(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}function f(e){var t;return e&&e.state?(e.total_in=e.total_out=(t=e.state).total=0,e.msg=\"\",t.wrap&&(e.adler=1&t.wrap),t.mode=1,t.last=0,t.havedict=0,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new r.Buf32(852),t.distcode=t.distdyn=new r.Buf32(592),t.sane=1,t.back=-1,0):c}function g(e){var t;return e&&e.state?((t=e.state).wsize=0,t.whave=0,t.wnext=0,f(e)):c}function p(e,t){var n,r;return e&&e.state?(t<0?(n=0,t=-t):(n=1+(t>>4),t<48&&(t&=15)),t&&(t<8||t>15)?c:(null!==(r=e.state).window&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,g(e))):c}function m(e,t){var n,r;return e?(r=new u,e.state=r,r.window=null,0!==(n=p(e,t))&&(e.state=null),n):c}var C,b,v=!0;function I(e){if(v){var t;for(C=new r.Buf32(512),b=new r.Buf32(32),t=0;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(a(1,e.lens,0,288,C,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;a(2,e.lens,0,32,b,0,e.work,{bits:5}),v=!1}e.lencode=C,e.lenbits=9,e.distcode=b,e.distbits=5}n.inflateReset=g,n.inflateReset2=p,n.inflateResetKeep=f,n.inflateInit=function(e){return m(e,15)},n.inflateInit2=m,n.inflate=function(e,t){var n,u,f,g,p,m,C,b,v,A,y,w,S,x,E,k,_,T,R,B,O,L,P,F,N=0,M=new r.Buf8(4),D=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!e||!e.state||!e.output||!e.input&&0!==e.avail_in)return c;(n=e.state).mode===l&&(n.mode=13),p=e.next_out,f=e.output,g=e.next_in,u=e.input,b=n.hold,v=n.bits,A=m=e.avail_in,y=C=e.avail_out,L=0;e:for(;;)switch(n.mode){case 1:if(0===n.wrap){n.mode=13;break}for(;v<16;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(2&n.wrap&&35615===b){n.check=0,M[0]=255&b,M[1]=b>>>8&255,n.check=s(n.check,M,2,0),b=0,v=0,n.mode=2;break}if(n.flags=0,n.head&&(n.head.done=!1),!(1&n.wrap)||(((255&b)<<8)+(b>>8))%31){e.msg=\"incorrect header check\",n.mode=h;break}if(8!=(15&b)){e.msg=\"unknown compression method\",n.mode=h;break}if(v-=4,O=8+(15&(b>>>=4)),0===n.wbits)n.wbits=O;else if(O>n.wbits){e.msg=\"invalid window size\",n.mode=h;break}n.dmax=1<<O,e.adler=n.check=1,n.mode=512&b?10:l,b=0,v=0;break;case 2:for(;v<16;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(n.flags=b,8!=(255&n.flags)){e.msg=\"unknown compression method\",n.mode=h;break}if(57344&n.flags){e.msg=\"unknown header flags set\",n.mode=h;break}n.head&&(n.head.text=b>>8&1),512&n.flags&&(M[0]=255&b,M[1]=b>>>8&255,n.check=s(n.check,M,2,0)),b=0,v=0,n.mode=3;case 3:for(;v<32;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}n.head&&(n.head.time=b),512&n.flags&&(M[0]=255&b,M[1]=b>>>8&255,M[2]=b>>>16&255,M[3]=b>>>24&255,n.check=s(n.check,M,4,0)),b=0,v=0,n.mode=4;case 4:for(;v<16;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}n.head&&(n.head.xflags=255&b,n.head.os=b>>8),512&n.flags&&(M[0]=255&b,M[1]=b>>>8&255,n.check=s(n.check,M,2,0)),b=0,v=0,n.mode=5;case 5:if(1024&n.flags){for(;v<16;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}n.length=b,n.head&&(n.head.extra_len=b),512&n.flags&&(M[0]=255&b,M[1]=b>>>8&255,n.check=s(n.check,M,2,0)),b=0,v=0}else n.head&&(n.head.extra=null);n.mode=6;case 6:if(1024&n.flags&&((w=n.length)>m&&(w=m),w&&(n.head&&(O=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Array(n.head.extra_len)),r.arraySet(n.head.extra,u,g,w,O)),512&n.flags&&(n.check=s(n.check,u,w,g)),m-=w,g+=w,n.length-=w),n.length))break e;n.length=0,n.mode=7;case 7:if(2048&n.flags){if(0===m)break e;w=0;do{O=u[g+w++],n.head&&O&&n.length<65536&&(n.head.name+=String.fromCharCode(O))}while(O&&w<m);if(512&n.flags&&(n.check=s(n.check,u,w,g)),m-=w,g+=w,O)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=8;case 8:if(4096&n.flags){if(0===m)break e;w=0;do{O=u[g+w++],n.head&&O&&n.length<65536&&(n.head.comment+=String.fromCharCode(O))}while(O&&w<m);if(512&n.flags&&(n.check=s(n.check,u,w,g)),m-=w,g+=w,O)break e}else n.head&&(n.head.comment=null);n.mode=9;case 9:if(512&n.flags){for(;v<16;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(b!==(65535&n.check)){e.msg=\"header crc mismatch\",n.mode=h;break}b=0,v=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=l;break;case 10:for(;v<32;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}e.adler=n.check=d(b),b=0,v=0,n.mode=11;case 11:if(0===n.havedict)return e.next_out=p,e.avail_out=C,e.next_in=g,e.avail_in=m,n.hold=b,n.bits=v,2;e.adler=n.check=1,n.mode=l;case l:if(5===t||6===t)break e;case 13:if(n.last){b>>>=7&v,v-=7&v,n.mode=27;break}for(;v<3;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}switch(n.last=1&b,v-=1,3&(b>>>=1)){case 0:n.mode=14;break;case 1:if(I(n),n.mode=20,6===t){b>>>=2,v-=2;break e}break;case 2:n.mode=17;break;case 3:e.msg=\"invalid block type\",n.mode=h}b>>>=2,v-=2;break;case 14:for(b>>>=7&v,v-=7&v;v<32;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if((65535&b)!=(b>>>16^65535)){e.msg=\"invalid stored block lengths\",n.mode=h;break}if(n.length=65535&b,b=0,v=0,n.mode=15,6===t)break e;case 15:n.mode=16;case 16:if(w=n.length){if(w>m&&(w=m),w>C&&(w=C),0===w)break e;r.arraySet(f,u,g,w,p),m-=w,g+=w,C-=w,p+=w,n.length-=w;break}n.mode=l;break;case 17:for(;v<14;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(n.nlen=257+(31&b),v-=5,n.ndist=1+(31&(b>>>=5)),v-=5,n.ncode=4+(15&(b>>>=5)),b>>>=4,v-=4,n.nlen>286||n.ndist>30){e.msg=\"too many length or distance symbols\",n.mode=h;break}n.have=0,n.mode=18;case 18:for(;n.have<n.ncode;){for(;v<3;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}n.lens[D[n.have++]]=7&b,b>>>=3,v-=3}for(;n.have<19;)n.lens[D[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,L=a(0,n.lens,0,19,n.lencode,0,n.work,P={bits:n.lenbits}),n.lenbits=P.bits,L){e.msg=\"invalid code lengths set\",n.mode=h;break}n.have=0,n.mode=19;case 19:for(;n.have<n.nlen+n.ndist;){for(;k=(N=n.lencode[b&(1<<n.lenbits)-1])>>>16&255,_=65535&N,!((E=N>>>24)<=v);){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(_<16)b>>>=E,v-=E,n.lens[n.have++]=_;else{if(16===_){for(F=E+2;v<F;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(b>>>=E,v-=E,0===n.have){e.msg=\"invalid bit length repeat\",n.mode=h;break}O=n.lens[n.have-1],w=3+(3&b),b>>>=2,v-=2}else if(17===_){for(F=E+3;v<F;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}v-=E,O=0,w=3+(7&(b>>>=E)),b>>>=3,v-=3}else{for(F=E+7;v<F;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}v-=E,O=0,w=11+(127&(b>>>=E)),b>>>=7,v-=7}if(n.have+w>n.nlen+n.ndist){e.msg=\"invalid bit length repeat\",n.mode=h;break}for(;w--;)n.lens[n.have++]=O}}if(n.mode===h)break;if(0===n.lens[256]){e.msg=\"invalid code -- missing end-of-block\",n.mode=h;break}if(n.lenbits=9,L=a(1,n.lens,0,n.nlen,n.lencode,0,n.work,P={bits:n.lenbits}),n.lenbits=P.bits,L){e.msg=\"invalid literal/lengths set\",n.mode=h;break}if(n.distbits=6,n.distcode=n.distdyn,L=a(2,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,P={bits:n.distbits}),n.distbits=P.bits,L){e.msg=\"invalid distances set\",n.mode=h;break}if(n.mode=20,6===t)break e;case 20:n.mode=21;case 21:if(m>=6&&C>=258){e.next_out=p,e.avail_out=C,e.next_in=g,e.avail_in=m,n.hold=b,n.bits=v,o(e,y),p=e.next_out,f=e.output,C=e.avail_out,g=e.next_in,u=e.input,m=e.avail_in,b=n.hold,v=n.bits,n.mode===l&&(n.back=-1);break}for(n.back=0;k=(N=n.lencode[b&(1<<n.lenbits)-1])>>>16&255,_=65535&N,!((E=N>>>24)<=v);){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(k&&0==(240&k)){for(T=E,R=k,B=_;k=(N=n.lencode[B+((b&(1<<T+R)-1)>>T)])>>>16&255,_=65535&N,!(T+(E=N>>>24)<=v);){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}b>>>=T,v-=T,n.back+=T}if(b>>>=E,v-=E,n.back+=E,n.length=_,0===k){n.mode=26;break}if(32&k){n.back=-1,n.mode=l;break}if(64&k){e.msg=\"invalid literal/length code\",n.mode=h;break}n.extra=15&k,n.mode=22;case 22:if(n.extra){for(F=n.extra;v<F;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}n.length+=b&(1<<n.extra)-1,b>>>=n.extra,v-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=23;case 23:for(;k=(N=n.distcode[b&(1<<n.distbits)-1])>>>16&255,_=65535&N,!((E=N>>>24)<=v);){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(0==(240&k)){for(T=E,R=k,B=_;k=(N=n.distcode[B+((b&(1<<T+R)-1)>>T)])>>>16&255,_=65535&N,!(T+(E=N>>>24)<=v);){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}b>>>=T,v-=T,n.back+=T}if(b>>>=E,v-=E,n.back+=E,64&k){e.msg=\"invalid distance code\",n.mode=h;break}n.offset=_,n.extra=15&k,n.mode=24;case 24:if(n.extra){for(F=n.extra;v<F;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}n.offset+=b&(1<<n.extra)-1,b>>>=n.extra,v-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg=\"invalid distance too far back\",n.mode=h;break}n.mode=25;case 25:if(0===C)break e;if(n.offset>(w=y-C)){if((w=n.offset-w)>n.whave&&n.sane){e.msg=\"invalid distance too far back\",n.mode=h;break}S=w>n.wnext?n.wsize-(w-=n.wnext):n.wnext-w,w>n.length&&(w=n.length),x=n.window}else x=f,S=p-n.offset,w=n.length;w>C&&(w=C),C-=w,n.length-=w;do{f[p++]=x[S++]}while(--w);0===n.length&&(n.mode=21);break;case 26:if(0===C)break e;f[p++]=n.length,C--,n.mode=21;break;case 27:if(n.wrap){for(;v<32;){if(0===m)break e;m--,b|=u[g++]<<v,v+=8}if(e.total_out+=y-=C,n.total+=y,y&&(e.adler=n.check=n.flags?s(n.check,f,y,p-y):i(n.check,f,y,p-y)),y=C,(n.flags?b:d(b))!==n.check){e.msg=\"incorrect data check\",n.mode=h;break}b=0,v=0}n.mode=28;case 28:if(n.wrap&&n.flags){for(;v<32;){if(0===m)break e;m--,b+=u[g++]<<v,v+=8}if(b!==(4294967295&n.total)){e.msg=\"incorrect length check\",n.mode=h;break}b=0,v=0}n.mode=29;case 29:L=1;break e;case h:L=-3;break e;case 31:return-4;case 32:default:return c}return e.next_out=p,e.avail_out=C,e.next_in=g,e.avail_in=m,n.hold=b,n.bits=v,(n.wsize||y!==e.avail_out&&n.mode<h&&(n.mode<27||4!==t))&&function(e,t,n,i){var s,o=e.state;return null===o.window&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new r.Buf8(o.wsize)),i>=o.wsize?(r.arraySet(o.window,t,n-o.wsize,o.wsize,0),o.wnext=0,o.whave=o.wsize):((s=o.wsize-o.wnext)>i&&(s=i),r.arraySet(o.window,t,n-i,s,o.wnext),(i-=s)?(r.arraySet(o.window,t,n-i,i,0),o.wnext=i,o.whave=o.wsize):(o.wnext+=s,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=s))),0}(e,e.output,e.next_out,y-e.avail_out)?(n.mode=31,-4):(y-=e.avail_out,e.total_in+=A-=e.avail_in,e.total_out+=y,n.total+=y,n.wrap&&y&&(e.adler=n.check=n.flags?s(n.check,f,y,e.next_out-y):i(n.check,f,y,e.next_out-y)),e.data_type=n.bits+(n.last?64:0)+(n.mode===l?128:0)+(20===n.mode||15===n.mode?256:0),(0===A&&0===y||4===t)&&0===L&&(L=-5),L)},n.inflateEnd=function(e){if(!e||!e.state)return c;var t=e.state;return t.window&&(t.window=null),e.state=null,0},n.inflateGetHeader=function(e,t){var n;return e&&e.state?0==(2&(n=e.state).wrap)?c:(n.head=t,t.done=!1,0):c},n.inflateInfo=\"pako inflate (from Nodeca project)\"},{\"../utils/common\":27,\"./adler32\":29,\"./crc32\":31,\"./inffast\":34,\"./inftrees\":36}],36:[function(e,t,n){\"use strict\";var r=e(\"../utils/common\"),i=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0],s=[16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78],o=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0],a=[16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64];t.exports=function(e,t,n,c,l,h,d,u){var f,g,p,m,C,b,v,I,A,y=u.bits,w=0,S=0,x=0,E=0,k=0,_=0,T=0,R=0,B=0,O=0,L=null,P=0,F=new r.Buf16(16),N=new r.Buf16(16),M=null,D=0;for(w=0;w<=15;w++)F[w]=0;for(S=0;S<c;S++)F[t[n+S]]++;for(k=y,E=15;E>=1&&0===F[E];E--);if(k>E&&(k=E),0===E)return l[h++]=20971520,l[h++]=20971520,u.bits=1,0;for(x=1;x<E&&0===F[x];x++);for(k<x&&(k=x),R=1,w=1;w<=15;w++)if(R<<=1,(R-=F[w])<0)return-1;if(R>0&&(0===e||1!==E))return-1;for(N[1]=0,w=1;w<15;w++)N[w+1]=N[w]+F[w];for(S=0;S<c;S++)0!==t[n+S]&&(d[N[t[n+S]]++]=S);if(0===e?(L=M=d,b=19):1===e?(L=i,P-=257,M=s,D-=257,b=256):(L=o,M=a,b=-1),O=0,S=0,w=x,C=h,_=k,T=0,p=-1,m=(B=1<<k)-1,1===e&&B>852||2===e&&B>592)return 1;for(;;){v=w-T,d[S]<b?(I=0,A=d[S]):d[S]>b?(I=M[D+d[S]],A=L[P+d[S]]):(I=96,A=0),f=1<<w-T,x=g=1<<_;do{l[C+(O>>T)+(g-=f)]=v<<24|I<<16|A|0}while(0!==g);for(f=1<<w-1;O&f;)f>>=1;if(0!==f?(O&=f-1,O+=f):O=0,S++,0==--F[w]){if(w===E)break;w=t[n+d[S]]}if(w>k&&(O&m)!==p){for(0===T&&(T=k),C+=x,R=1<<(_=w-T);_+T<E&&!((R-=F[_+T])<=0);)_++,R<<=1;if(B+=1<<_,1===e&&B>852||2===e&&B>592)return 1;l[p=O&m]=k<<24|_<<16|C-h|0}}return 0!==O&&(l[C+O]=w-T<<24|64<<16|0),u.bits=k,0}},{\"../utils/common\":27}],37:[function(e,t,n){\"use strict\";t.exports={2:\"need dictionary\",1:\"stream end\",0:\"\",\"-1\":\"file error\",\"-2\":\"stream error\",\"-3\":\"data error\",\"-4\":\"insufficient memory\",\"-5\":\"buffer error\",\"-6\":\"incompatible version\"}},{}],38:[function(e,t,n){\"use strict\";var r=e(\"../utils/common\");function i(e){for(var t=e.length;--t>=0;)e[t]=0}var s=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0],o=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13],a=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7],c=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15],l=new Array(576);i(l);var h=new Array(60);i(h);var d=new Array(512);i(d);var u=new Array(256);i(u);var f=new Array(29);i(f);var g=new Array(30);i(g);var p,m,C,b=function(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length},v=function(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t};function I(e){return e<256?d[e]:d[256+(e>>>7)]}function A(e,t){e.pending_buf[e.pending++]=255&t,e.pending_buf[e.pending++]=t>>>8&255}function y(e,t,n){e.bi_valid>16-n?(e.bi_buf|=t<<e.bi_valid&65535,A(e,e.bi_buf),e.bi_buf=t>>16-e.bi_valid,e.bi_valid+=n-16):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)}function w(e,t,n){y(e,n[2*t],n[2*t+1])}function S(e,t){var n=0;do{n|=1&e,e>>>=1,n<<=1}while(--t>0);return n>>>1}function x(e,t,n){var r,i,s=new Array(16),o=0;for(r=1;r<=15;r++)s[r]=o=o+n[r-1]<<1;for(i=0;i<=t;i++){var a=e[2*i+1];0!==a&&(e[2*i]=S(s[a]++,a))}}function E(e){var t;for(t=0;t<286;t++)e.dyn_ltree[2*t]=0;for(t=0;t<30;t++)e.dyn_dtree[2*t]=0;for(t=0;t<19;t++)e.bl_tree[2*t]=0;e.dyn_ltree[512]=1,e.opt_len=e.static_len=0,e.last_lit=e.matches=0}function k(e){e.bi_valid>8?A(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0}function _(e,t,n,r){var i=2*t,s=2*n;return e[i]<e[s]||e[i]===e[s]&&r[t]<=r[n]}function T(e,t,n){for(var r=e.heap[n],i=n<<1;i<=e.heap_len&&(i<e.heap_len&&_(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!_(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r}function R(e,t,n){var r,i,a,c,l=0;if(0!==e.last_lit)do{r=e.pending_buf[e.d_buf+2*l]<<8|e.pending_buf[e.d_buf+2*l+1],i=e.pending_buf[e.l_buf+l],l++,0===r?w(e,i,t):(w(e,(a=u[i])+256+1,t),0!==(c=s[a])&&y(e,i-=f[a],c),w(e,a=I(--r),n),0!==(c=o[a])&&y(e,r-=g[a],c))}while(l<e.last_lit);w(e,256,t)}function B(e,t){var n,r,i,s=t.dyn_tree,o=t.stat_desc.static_tree,a=t.stat_desc.has_stree,c=t.stat_desc.elems,l=-1;for(e.heap_len=0,e.heap_max=573,n=0;n<c;n++)0!==s[2*n]?(e.heap[++e.heap_len]=l=n,e.depth[n]=0):s[2*n+1]=0;for(;e.heap_len<2;)s[2*(i=e.heap[++e.heap_len]=l<2?++l:0)]=1,e.depth[i]=0,e.opt_len--,a&&(e.static_len-=o[2*i+1]);for(t.max_code=l,n=e.heap_len>>1;n>=1;n--)T(e,s,n);i=c;do{n=e.heap[1],e.heap[1]=e.heap[e.heap_len--],T(e,s,1),r=e.heap[1],e.heap[--e.heap_max]=n,e.heap[--e.heap_max]=r,s[2*i]=s[2*n]+s[2*r],e.depth[i]=(e.depth[n]>=e.depth[r]?e.depth[n]:e.depth[r])+1,s[2*n+1]=s[2*r+1]=i,e.heap[1]=i++,T(e,s,1)}while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],function(e,t){var n,r,i,s,o,a,c=t.dyn_tree,l=t.max_code,h=t.stat_desc.static_tree,d=t.stat_desc.has_stree,u=t.stat_desc.extra_bits,f=t.stat_desc.extra_base,g=t.stat_desc.max_length,p=0;for(s=0;s<=15;s++)e.bl_count[s]=0;for(c[2*e.heap[e.heap_max]+1]=0,n=e.heap_max+1;n<573;n++)(s=c[2*c[2*(r=e.heap[n])+1]+1]+1)>g&&(s=g,p++),c[2*r+1]=s,r>l||(e.bl_count[s]++,o=0,r>=f&&(o=u[r-f]),e.opt_len+=(a=c[2*r])*(s+o),d&&(e.static_len+=a*(h[2*r+1]+o)));if(0!==p){do{for(s=g-1;0===e.bl_count[s];)s--;e.bl_count[s]--,e.bl_count[s+1]+=2,e.bl_count[g]--,p-=2}while(p>0);for(s=g;0!==s;s--)for(r=e.bl_count[s];0!==r;)(i=e.heap[--n])>l||(c[2*i+1]!==s&&(e.opt_len+=(s-c[2*i+1])*c[2*i],c[2*i+1]=s),r--)}}(e,t),x(s,l,e.bl_count)}function O(e,t,n){var r,i,s=-1,o=t[1],a=0,c=7,l=4;for(0===o&&(c=138,l=3),t[2*(n+1)+1]=65535,r=0;r<=n;r++)i=o,o=t[2*(r+1)+1],++a<c&&i===o||(a<l?e.bl_tree[2*i]+=a:0!==i?(i!==s&&e.bl_tree[2*i]++,e.bl_tree[32]++):a<=10?e.bl_tree[34]++:e.bl_tree[36]++,a=0,s=i,0===o?(c=138,l=3):i===o?(c=6,l=3):(c=7,l=4))}function L(e,t,n){var r,i,s=-1,o=t[1],a=0,c=7,l=4;for(0===o&&(c=138,l=3),r=0;r<=n;r++)if(i=o,o=t[2*(r+1)+1],!(++a<c&&i===o)){if(a<l)do{w(e,i,e.bl_tree)}while(0!=--a);else 0!==i?(i!==s&&(w(e,i,e.bl_tree),a--),w(e,16,e.bl_tree),y(e,a-3,2)):a<=10?(w(e,17,e.bl_tree),y(e,a-3,3)):(w(e,18,e.bl_tree),y(e,a-11,7));a=0,s=i,0===o?(c=138,l=3):i===o?(c=6,l=3):(c=7,l=4)}}var P=!1;function F(e,t,n,i){y(e,0+(i?1:0),3),function(e,t,n,i){k(e),A(e,n),A(e,~n),r.arraySet(e.pending_buf,e.window,t,n,e.pending),e.pending+=n}(e,t,n)}n._tr_init=function(e){P||(function(){var e,t,n,r,i,c=new Array(16);for(n=0,r=0;r<28;r++)for(f[r]=n,e=0;e<1<<s[r];e++)u[n++]=r;for(u[n-1]=r,i=0,r=0;r<16;r++)for(g[r]=i,e=0;e<1<<o[r];e++)d[i++]=r;for(i>>=7;r<30;r++)for(g[r]=i<<7,e=0;e<1<<o[r]-7;e++)d[256+i++]=r;for(t=0;t<=15;t++)c[t]=0;for(e=0;e<=143;)l[2*e+1]=8,e++,c[8]++;for(;e<=255;)l[2*e+1]=9,e++,c[9]++;for(;e<=279;)l[2*e+1]=7,e++,c[7]++;for(;e<=287;)l[2*e+1]=8,e++,c[8]++;for(x(l,287,c),e=0;e<30;e++)h[2*e+1]=5,h[2*e]=S(e,5);p=new 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e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f 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e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f 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e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\xc7\\xfc\\xe9\\xe2\\xe4\\xe0\\xe5\\xe7\\xea\\xeb\\xe8\\xef\\xee\\u0131\\xc4\\xc5\\xc9\\xe6\\xc6\\xf4\\xf6\\xf2\\xfb\\xf9\\u0130\\xd6\\xdc\\xf8\\xa3\\xd8\\u015e\\u015f\\xe1\\xed\\xf3\\xfa\\xf1\\xd1\\u011e\\u011f\\xbf\\xae\\xac\\xbd\\xbc\\xa1\\xab\\xbb\\u2591\\u2592\\u2593\\u2502\\u2524\\xc1\\xc2\\xc0\\xa9\\u2563\\u2551\\u2557\\u255d\\xa2\\xa5\\u2510\\u2514\\u2534\\u252c\\u251c\\u2500\\u253c\\xe3\\xc3\\u255a\\u2554\\u2569\\u2566\\u2560\\u2550\\u256c\\xa4\\xba\\xaa\\xca\\xcb\\xc8\\ufffd\\xcd\\xce\\xcf\\u2518\\u250c\\u2588\\u2584\\xa6\\xcc\\u2580\\xd3\\xdf\\xd4\\xd2\\xf5\\xd5\\xb5\\ufffd\\xd7\\xda\\xdb\\xd9\\xec\\xff\\xaf\\xb4\\xad\\xb1\\ufffd\\xbe\\xb6\\xa7\\xf7\\xb8\\xb0\\xa8\\xb7\\xb9\\xb3\\xb2\\u25a0\\xa0\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[861]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\xc7\\xfc\\xe9\\xe2\\xe4\\xe0\\xe5\\xe7\\xea\\xeb\\xe8\\xd0\\xf0\\xde\\xc4\\xc5\\xc9\\xe6\\xc6\\xf4\\xf6\\xfe\\xfb\\xdd\\xfd\\xd6\\xdc\\xf8\\xa3\\xd8\\u20a7\\u0192\\xe1\\xed\\xf3\\xfa\\xc1\\xcd\\xd3\\xda\\xbf\\u2310\\xac\\xbd\\xbc\\xa1\\xab\\xbb\\u2591\\u2592\\u2593\\u2502\\u2524\\u2561\\u2562\\u2556\\u2555\\u2563\\u2551\\u2557\\u255d\\u255c\\u255b\\u2510\\u2514\\u2534\\u252c\\u251c\\u2500\\u253c\\u255e\\u255f\\u255a\\u2554\\u2569\\u2566\\u2560\\u2550\\u256c\\u2567\\u2568\\u2564\\u2565\\u2559\\u2558\\u2552\\u2553\\u256b\\u256a\\u2518\\u250c\\u2588\\u2584\\u258c\\u2590\\u2580\\u03b1\\xdf\\u0393\\u03c0\\u03a3\\u03c3\\xb5\\u03c4\\u03a6\\u0398\\u03a9\\u03b4\\u221e\\u03c6\\u03b5\\u2229\\u2261\\xb1\\u2265\\u2264\\u2320\\u2321\\xf7\\u2248\\xb0\\u2219\\xb7\\u221a\\u207f\\xb2\\u25a0\\xa0\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[865]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\xc7\\xfc\\xe9\\xe2\\xe4\\xe0\\xe5\\xe7\\xea\\xeb\\xe8\\xef\\xee\\xec\\xc4\\xc5\\xc9\\xe6\\xc6\\xf4\\xf6\\xf2\\xfb\\xf9\\xff\\xd6\\xdc\\xf8\\xa3\\xd8\\u20a7\\u0192\\xe1\\xed\\xf3\\xfa\\xf1\\xd1\\xaa\\xba\\xbf\\u2310\\xac\\xbd\\xbc\\xa1\\xab\\xa4\\u2591\\u2592\\u2593\\u2502\\u2524\\u2561\\u2562\\u2556\\u2555\\u2563\\u2551\\u2557\\u255d\\u255c\\u255b\\u2510\\u2514\\u2534\\u252c\\u251c\\u2500\\u253c\\u255e\\u255f\\u255a\\u2554\\u2569\\u2566\\u2560\\u2550\\u256c\\u2567\\u2568\\u2564\\u2565\\u2559\\u2558\\u2552\\u2553\\u256b\\u256a\\u2518\\u250c\\u2588\\u2584\\u258c\\u2590\\u2580\\u03b1\\xdf\\u0393\\u03c0\\u03a3\\u03c3\\xb5\\u03c4\\u03a6\\u0398\\u03a9\\u03b4\\u221e\\u03c6\\u03b5\\u2229\\u2261\\xb1\\u2265\\u2264\\u2320\\u2321\\xf7\\u2248\\xb0\\u2219\\xb7\\u221a\\u207f\\xb2\\u25a0\\xa0\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[866]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u0410\\u0411\\u0412\\u0413\\u0414\\u0415\\u0416\\u0417\\u0418\\u0419\\u041a\\u041b\\u041c\\u041d\\u041e\\u041f\\u0420\\u0421\\u0422\\u0423\\u0424\\u0425\\u0426\\u0427\\u0428\\u0429\\u042a\\u042b\\u042c\\u042d\\u042e\\u042f\\u0430\\u0431\\u0432\\u0433\\u0434\\u0435\\u0436\\u0437\\u0438\\u0439\\u043a\\u043b\\u043c\\u043d\\u043e\\u043f\\u2591\\u2592\\u2593\\u2502\\u2524\\u2561\\u2562\\u2556\\u2555\\u2563\\u2551\\u2557\\u255d\\u255c\\u255b\\u2510\\u2514\\u2534\\u252c\\u251c\\u2500\\u253c\\u255e\\u255f\\u255a\\u2554\\u2569\\u2566\\u2560\\u2550\\u256c\\u2567\\u2568\\u2564\\u2565\\u2559\\u2558\\u2552\\u2553\\u256b\\u256a\\u2518\\u250c\\u2588\\u2584\\u258c\\u2590\\u2580\\u0440\\u0441\\u0442\\u0443\\u0444\\u0445\\u0446\\u0447\\u0448\\u0449\\u044a\\u044b\\u044c\\u044d\\u044e\\u044f\\u0401\\u0451\\u0404\\u0454\\u0407\\u0457\\u040e\\u045e\\xb0\\u2219\\xb7\\u221a\\u2116\\xa4\\u25a0\\xa0\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[874]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\ufffd\\ufffd\\ufffd\\ufffd\\u2026\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\xa0\\u0e01\\u0e02\\u0e03\\u0e04\\u0e05\\u0e06\\u0e07\\u0e08\\u0e09\\u0e0a\\u0e0b\\u0e0c\\u0e0d\\u0e0e\\u0e0f\\u0e10\\u0e11\\u0e12\\u0e13\\u0e14\\u0e15\\u0e16\\u0e17\\u0e18\\u0e19\\u0e1a\\u0e1b\\u0e1c\\u0e1d\\u0e1e\\u0e1f\\u0e20\\u0e21\\u0e22\\u0e23\\u0e24\\u0e25\\u0e26\\u0e27\\u0e28\\u0e29\\u0e2a\\u0e2b\\u0e2c\\u0e2d\\u0e2e\\u0e2f\\u0e30\\u0e31\\u0e32\\u0e33\\u0e34\\u0e35\\u0e36\\u0e37\\u0e38\\u0e39\\u0e3a\\ufffd\\ufffd\\ufffd\\ufffd\\u0e3f\\u0e40\\u0e41\\u0e42\\u0e43\\u0e44\\u0e45\\u0e46\\u0e47\\u0e48\\u0e49\\u0e4a\\u0e4b\\u0e4c\\u0e4d\\u0e4e\\u0e4f\\u0e50\\u0e51\\u0e52\\u0e53\\u0e54\\u0e55\\u0e56\\u0e57\\u0e58\\u0e59\\u0e5a\\u0e5b\\ufffd\\ufffd\\ufffd\\ufffd\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[895]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u010c\\xfc\\xe9\\u010f\\xe4\\u010e\\u0164\\u010d\\u011b\\u011a\\u0139\\xcd\\u013e\\u01ea\\xc4\\xc1\\xc9\\u017e\\u017d\\xf4\\xf6\\xd3\\u016f\\xda\\xfd\\xd6\\xdc\\u0160\\u013d\\xdd\\u0158\\u0165\\xe1\\xed\\xf3\\xfa\\u0148\\u0147\\u016e\\xd4\\u0161\\u0159\\u0155\\u0154\\xbc\\xa7\\xab\\xbb\\u2591\\u2592\\u2593\\u2502\\u2524\\u2561\\u2562\\u2556\\u2555\\u2563\\u2551\\u2557\\u255d\\u255c\\u255b\\u2510\\u2514\\u2534\\u252c\\u251c\\u2500\\u253c\\u255e\\u255f\\u255a\\u2554\\u2569\\u2566\\u2560\\u2550\\u256c\\u2567\\u2568\\u2564\\u2565\\u2559\\u2558\\u2552\\u2553\\u256b\\u256a\\u2518\\u250c\\u2588\\u2584\\u258c\\u2590\\u2580\\u03b1\\xdf\\u0393\\u03c0\\u03a3\\u03c3\\xb5\\u03c4\\u03a6\\u0398\\u03a9\\u03b4\\u221e\\u03c6\\u03b5\\u2229\\u2261\\xb1\\u2265\\u2264\\u2320\\u2321\\xf7\\u2248\\xb0\\u2219\\xb7\\u221a\\u207f\\xb2\\u25a0\\xa0\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[932]=function(){var 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\\u8e4f\\u8e50\\u8e53\\u8e54\\u8e55\\u8e56\\u8e57\\u8e58\\u8e5a\\u8e5b\\u8e5c\\u8e5d\\u8e5e\\u8e5f\\u8e60\\u8e61\\u8e62\\u8e63\\u8e64\\u8e65\\u8e67\\u8e68\\u8e6a\\u8e6b\\u8e6e\\u8e71\\u90b8\\u90b0\\u90cf\\u90c5\\u90be\\u90d0\\u90c4\\u90c7\\u90d3\\u90e6\\u90e2\\u90dc\\u90d7\\u90db\\u90eb\\u90ef\\u90fe\\u9104\\u9122\\u911e\\u9123\\u9131\\u912f\\u9139\\u9143\\u9146\\u520d\\u5942\\u52a2\\u52ac\\u52ad\\u52be\\u54ff\\u52d0\\u52d6\\u52f0\\u53df\\u71ee\\u77cd\\u5ef4\\u51f5\\u51fc\\u9b2f\\u53b6\\u5f01\\u755a\\u5def\\u574c\\u57a9\\u57a1\\u587e\\u58bc\\u58c5\\u58d1\\u5729\\u572c\\u572a\\u5733\\u5739\\u572e\\u572f\\u575c\\u573b\\u5742\\u5769\\u5785\\u576b\\u5786\\u577c\\u577b\\u5768\\u576d\\u5776\\u5773\\u57ad\\u57a4\\u578c\\u57b2\\u57cf\\u57a7\\u57b4\\u5793\\u57a0\\u57d5\\u57d8\\u57da\\u57d9\\u57d2\\u57b8\\u57f4\\u57ef\\u57f8\\u57e4\\u57dd\\ufffd\".split(\"\"),e=0;e!=r[219].length;++e)65533!==r[219][e].charCodeAt(0)&&(n[r[219][e]]=56064+e,t[56064+e]=r[219][e]);for(r[220]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u8e73\\u8e75\\u8e77\\u8e78\\u8e79\\u8e7a\\u8e7b\\u8e7d\\u8e7e\\u8e80\\u8e82\\u8e83\\u8e84\\u8e86\\u8e88\\u8e89\\u8e8a\\u8e8b\\u8e8c\\u8e8d\\u8e8e\\u8e91\\u8e92\\u8e93\\u8e95\\u8e96\\u8e97\\u8e98\\u8e99\\u8e9a\\u8e9b\\u8e9d\\u8e9f\\u8ea0\\u8ea1\\u8ea2\\u8ea3\\u8ea4\\u8ea5\\u8ea6\\u8ea7\\u8ea8\\u8ea9\\u8eaa\\u8ead\\u8eae\\u8eb0\\u8eb1\\u8eb3\\u8eb4\\u8eb5\\u8eb6\\u8eb7\\u8eb8\\u8eb9\\u8ebb\\u8ebc\\u8ebd\\u8ebe\\u8ebf\\u8ec0\\u8ec1\\u8ec2\\ufffd\\u8ec3\\u8ec4\\u8ec5\\u8ec6\\u8ec7\\u8ec8\\u8ec9\\u8eca\\u8ecb\\u8ecc\\u8ecd\\u8ecf\\u8ed0\\u8ed1\\u8ed2\\u8ed3\\u8ed4\\u8ed5\\u8ed6\\u8ed7\\u8ed8\\u8ed9\\u8eda\\u8edb\\u8edc\\u8edd\\u8ede\\u8edf\\u8ee0\\u8ee1\\u8ee2\\u8ee3\\u8ee4\\u580b\\u580d\\u57fd\\u57ed\\u5800\\u581e\\u5819\\u5844\\u5820\\u5865\\u586c\\u5881\\u5889\\u589a\\u5880\\u99a8\\u9f19\\u61ff\\u8279\\u827d\\u827f\\u828f\\u828a\\u82a8\\u8284\\u828e\\u8291\\u8297\\u8299\\u82ab\\u82b8\\u82be\\u82b0\\u82c8\\u82ca\\u82e3\\u8298\\u82b7\\u82ae\\u82cb\\u82cc\\u82c1\\u82a9\\u82b4\\u82a1\\u82aa\\u829f\\u82c4\\u82ce\\u82a4\\u82e1\\u8309\\u82f7\\u82e4\\u830f\\u8307\\u82dc\\u82f4\\u82d2\\u82d8\\u830c\\u82fb\\u82d3\\u8311\\u831a\\u8306\\u8314\\u8315\\u82e0\\u82d5\\u831c\\u8351\\u835b\\u835c\\u8308\\u8392\\u833c\\u8334\\u8331\\u839b\\u835e\\u832f\\u834f\\u8347\\u8343\\u835f\\u8340\\u8317\\u8360\\u832d\\u833a\\u8333\\u8366\\u8365\\ufffd\".split(\"\"),e=0;e!=r[220].length;++e)65533!==r[220][e].charCodeAt(0)&&(n[r[220][e]]=56320+e,t[56320+e]=r[220][e]);for(r[221]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u8ee5\\u8ee6\\u8ee7\\u8ee8\\u8ee9\\u8eea\\u8eeb\\u8eec\\u8eed\\u8eee\\u8eef\\u8ef0\\u8ef1\\u8ef2\\u8ef3\\u8ef4\\u8ef5\\u8ef6\\u8ef7\\u8ef8\\u8ef9\\u8efa\\u8efb\\u8efc\\u8efd\\u8efe\\u8eff\\u8f00\\u8f01\\u8f02\\u8f03\\u8f04\\u8f05\\u8f06\\u8f07\\u8f08\\u8f09\\u8f0a\\u8f0b\\u8f0c\\u8f0d\\u8f0e\\u8f0f\\u8f10\\u8f11\\u8f12\\u8f13\\u8f14\\u8f15\\u8f16\\u8f17\\u8f18\\u8f19\\u8f1a\\u8f1b\\u8f1c\\u8f1d\\u8f1e\\u8f1f\\u8f20\\u8f21\\u8f22\\u8f23\\ufffd\\u8f24\\u8f25\\u8f26\\u8f27\\u8f28\\u8f29\\u8f2a\\u8f2b\\u8f2c\\u8f2d\\u8f2e\\u8f2f\\u8f30\\u8f31\\u8f32\\u8f33\\u8f34\\u8f35\\u8f36\\u8f37\\u8f38\\u8f39\\u8f3a\\u8f3b\\u8f3c\\u8f3d\\u8f3e\\u8f3f\\u8f40\\u8f41\\u8f42\\u8f43\\u8f44\\u8368\\u831b\\u8369\\u836c\\u836a\\u836d\\u836e\\u83b0\\u8378\\u83b3\\u83b4\\u83a0\\u83aa\\u8393\\u839c\\u8385\\u837c\\u83b6\\u83a9\\u837d\\u83b8\\u837b\\u8398\\u839e\\u83a8\\u83ba\\u83bc\\u83c1\\u8401\\u83e5\\u83d8\\u5807\\u8418\\u840b\\u83dd\\u83fd\\u83d6\\u841c\\u8438\\u8411\\u8406\\u83d4\\u83df\\u840f\\u8403\\u83f8\\u83f9\\u83ea\\u83c5\\u83c0\\u8426\\u83f0\\u83e1\\u845c\\u8451\\u845a\\u8459\\u8473\\u8487\\u8488\\u847a\\u8489\\u8478\\u843c\\u8446\\u8469\\u8476\\u848c\\u848e\\u8431\\u846d\\u84c1\\u84cd\\u84d0\\u84e6\\u84bd\\u84d3\\u84ca\\u84bf\\u84ba\\u84e0\\u84a1\\u84b9\\u84b4\\u8497\\u84e5\\u84e3\\u850c\\u750d\\u8538\\u84f0\\u8539\\u851f\\u853a\\ufffd\".split(\"\"),e=0;e!=r[221].length;++e)65533!==r[221][e].charCodeAt(0)&&(n[r[221][e]]=56576+e,t[56576+e]=r[221][e]);for(r[222]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uf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fc\\ub4fd\\ub4fe\\ub4ff\\ub500\\ub501\\ub502\\ub503\\ub504\\ub505\\ub506\\ub507\\ub508\\ub509\\ub50a\\ub50b\\ub50c\\ub50d\\ub50e\\ub50f\\ub510\\ub511\\ub512\\ub513\\ub516\\ub517\\ub519\\ub51a\\ub51d\\ufffd\".split(\"\"),e=0;e!=r[138].length;++e)65533!==r[138][e].charCodeAt(0)&&(n[r[138][e]]=35328+e,t[35328+e]=r[138][e]);for(r[139]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub51e\\ub51f\\ub520\\ub521\\ub522\\ub523\\ub526\\ub52b\\ub52c\\ub52d\\ub52e\\ub52f\\ub532\\ub533\\ub535\\ub536\\ub537\\ub539\\ub53a\\ub53b\\ub53c\\ub53d\\ub53e\\ub53f\\ub542\\ub546\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub547\\ub548\\ub549\\ub54a\\ub54e\\ub54f\\ub551\\ub552\\ub553\\ub555\\ub556\\ub557\\ub558\\ub559\\ub55a\\ub55b\\ub55e\\ub562\\ub563\\ub564\\ub565\\ub566\\ub567\\ub568\\ub569\\ub56a\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub56b\\ub56c\\ub56d\\ub56e\\ub56f\\ub570\\ub571\\ub572\\ub573\\ub574\\ub575\\ub576\\ub577\\ub578\\ub579\\ub57a\\ub57b\\ub57c\\ub57d\\ub57e\\ub57f\\ub580\\ub581\\ub582\\ub583\\ub584\\ub585\\ub586\\ub587\\ub588\\ub589\\ub58a\\ub58b\\ub58c\\ub58d\\ub58e\\ub58f\\ub590\\ub591\\ub592\\ub593\\ub594\\ub595\\ub596\\ub597\\ub598\\ub599\\ub59a\\ub59b\\ub59c\\ub59d\\ub59e\\ub59f\\ub5a2\\ub5a3\\ub5a5\\ub5a6\\ub5a7\\ub5a9\\ub5ac\\ub5ad\\ub5ae\\ub5af\\ub5b2\\ub5b6\\ub5b7\\ub5b8\\ub5b9\\ub5ba\\ub5be\\ub5bf\\ub5c1\\ub5c2\\ub5c3\\ub5c5\\ub5c6\\ub5c7\\ub5c8\\ub5c9\\ub5ca\\ub5cb\\ub5ce\\ub5d2\\ub5d3\\ub5d4\\ub5d5\\ub5d6\\ub5d7\\ub5d9\\ub5da\\ub5db\\ub5dc\\ub5dd\\ub5de\\ub5df\\ub5e0\\ub5e1\\ub5e2\\ub5e3\\ub5e4\\ub5e5\\ub5e6\\ub5e7\\ub5e8\\ub5e9\\ub5ea\\ub5eb\\ub5ed\\ub5ee\\ub5ef\\ub5f0\\ub5f1\\ub5f2\\ub5f3\\ub5f4\\ub5f5\\ub5f6\\ub5f7\\ub5f8\\ub5f9\\ub5fa\\ub5fb\\ub5fc\\ub5fd\\ub5fe\\ub5ff\\ufffd\".split(\"\"),e=0;e!=r[139].length;++e)65533!==r[139][e].charCodeAt(0)&&(n[r[139][e]]=35584+e,t[35584+e]=r[139][e]);for(r[140]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub600\\ub601\\ub602\\ub603\\ub604\\ub605\\ub606\\ub607\\ub608\\ub609\\ub60a\\ub60b\\ub60c\\ub60d\\ub60e\\ub60f\\ub612\\ub613\\ub615\\ub616\\ub617\\ub619\\ub61a\\ub61b\\ub61c\\ub61d\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub61e\\ub61f\\ub620\\ub621\\ub622\\ub623\\ub624\\ub626\\ub627\\ub628\\ub629\\ub62a\\ub62b\\ub62d\\ub62e\\ub62f\\ub630\\ub631\\ub632\\ub633\\ub635\\ub636\\ub637\\ub638\\ub639\\ub63a\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub63b\\ub63c\\ub63d\\ub63e\\ub63f\\ub640\\ub641\\ub642\\ub643\\ub644\\ub645\\ub646\\ub647\\ub649\\ub64a\\ub64b\\ub64c\\ub64d\\ub64e\\ub64f\\ub650\\ub651\\ub652\\ub653\\ub654\\ub655\\ub656\\ub657\\ub658\\ub659\\ub65a\\ub65b\\ub65c\\ub65d\\ub65e\\ub65f\\ub660\\ub661\\ub662\\ub663\\ub665\\ub666\\ub667\\ub669\\ub66a\\ub66b\\ub66c\\ub66d\\ub66e\\ub66f\\ub670\\ub671\\ub672\\ub673\\ub674\\ub675\\ub676\\ub677\\ub678\\ub679\\ub67a\\ub67b\\ub67c\\ub67d\\ub67e\\ub67f\\ub680\\ub681\\ub682\\ub683\\ub684\\ub685\\ub686\\ub687\\ub688\\ub689\\ub68a\\ub68b\\ub68c\\ub68d\\ub68e\\ub68f\\ub690\\ub691\\ub692\\ub693\\ub694\\ub695\\ub696\\ub697\\ub698\\ub699\\ub69a\\ub69b\\ub69e\\ub69f\\ub6a1\\ub6a2\\ub6a3\\ub6a5\\ub6a6\\ub6a7\\ub6a8\\ub6a9\\ub6aa\\ub6ad\\ub6ae\\ub6af\\ub6b0\\ub6b2\\ub6b3\\ub6b4\\ub6b5\\ub6b6\\ub6b7\\ub6b8\\ub6b9\\ub6ba\\ub6bb\\ub6bc\\ub6bd\\ub6be\\ub6bf\\ub6c0\\ub6c1\\ub6c2\\ufffd\".split(\"\"),e=0;e!=r[140].length;++e)65533!==r[140][e].charCodeAt(0)&&(n[r[140][e]]=35840+e,t[35840+e]=r[140][e]);for(r[141]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub6c3\\ub6c4\\ub6c5\\ub6c6\\ub6c7\\ub6c8\\ub6c9\\ub6ca\\ub6cb\\ub6cc\\ub6cd\\ub6ce\\ub6cf\\ub6d0\\ub6d1\\ub6d2\\ub6d3\\ub6d5\\ub6d6\\ub6d7\\ub6d8\\ub6d9\\ub6da\\ub6db\\ub6dc\\ub6dd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub6de\\ub6df\\ub6e0\\ub6e1\\ub6e2\\ub6e3\\ub6e4\\ub6e5\\ub6e6\\ub6e7\\ub6e8\\ub6e9\\ub6ea\\ub6eb\\ub6ec\\ub6ed\\ub6ee\\ub6ef\\ub6f1\\ub6f2\\ub6f3\\ub6f5\\ub6f6\\ub6f7\\ub6f9\\ub6fa\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub6fb\\ub6fc\\ub6fd\\ub6fe\\ub6ff\\ub702\\ub703\\ub704\\ub706\\ub707\\ub708\\ub709\\ub70a\\ub70b\\ub70c\\ub70d\\ub70e\\ub70f\\ub710\\ub711\\ub712\\ub713\\ub714\\ub715\\ub716\\ub717\\ub718\\ub719\\ub71a\\ub71b\\ub71c\\ub71d\\ub71e\\ub71f\\ub720\\ub721\\ub722\\ub723\\ub724\\ub725\\ub726\\ub727\\ub72a\\ub72b\\ub72d\\ub72e\\ub731\\ub732\\ub733\\ub734\\ub735\\ub736\\ub737\\ub73a\\ub73c\\ub73d\\ub73e\\ub73f\\ub740\\ub741\\ub742\\ub743\\ub745\\ub746\\ub747\\ub749\\ub74a\\ub74b\\ub74d\\ub74e\\ub74f\\ub750\\ub751\\ub752\\ub753\\ub756\\ub757\\ub758\\ub759\\ub75a\\ub75b\\ub75c\\ub75d\\ub75e\\ub75f\\ub761\\ub762\\ub763\\ub765\\ub766\\ub767\\ub769\\ub76a\\ub76b\\ub76c\\ub76d\\ub76e\\ub76f\\ub772\\ub774\\ub776\\ub777\\ub778\\ub779\\ub77a\\ub77b\\ub77e\\ub77f\\ub781\\ub782\\ub783\\ub785\\ub786\\ub787\\ub788\\ub789\\ub78a\\ub78b\\ub78e\\ub793\\ub794\\ub795\\ub79a\\ub79b\\ub79d\\ub79e\\ufffd\".split(\"\"),e=0;e!=r[141].length;++e)65533!==r[141][e].charCodeAt(0)&&(n[r[141][e]]=36096+e,t[36096+e]=r[141][e]);for(r[142]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub79f\\ub7a1\\ub7a2\\ub7a3\\ub7a4\\ub7a5\\ub7a6\\ub7a7\\ub7aa\\ub7ae\\ub7af\\ub7b0\\ub7b1\\ub7b2\\ub7b3\\ub7b6\\ub7b7\\ub7b9\\ub7ba\\ub7bb\\ub7bc\\ub7bd\\ub7be\\ub7bf\\ub7c0\\ub7c1\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub7c2\\ub7c3\\ub7c4\\ub7c5\\ub7c6\\ub7c8\\ub7ca\\ub7cb\\ub7cc\\ub7cd\\ub7ce\\ub7cf\\ub7d0\\ub7d1\\ub7d2\\ub7d3\\ub7d4\\ub7d5\\ub7d6\\ub7d7\\ub7d8\\ub7d9\\ub7da\\ub7db\\ub7dc\\ub7dd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub7de\\ub7df\\ub7e0\\ub7e1\\ub7e2\\ub7e3\\ub7e4\\ub7e5\\ub7e6\\ub7e7\\ub7e8\\ub7e9\\ub7ea\\ub7eb\\ub7ee\\ub7ef\\ub7f1\\ub7f2\\ub7f3\\ub7f5\\ub7f6\\ub7f7\\ub7f8\\ub7f9\\ub7fa\\ub7fb\\ub7fe\\ub802\\ub803\\ub804\\ub805\\ub806\\ub80a\\ub80b\\ub80d\\ub80e\\ub80f\\ub811\\ub812\\ub813\\ub814\\ub815\\ub816\\ub817\\ub81a\\ub81c\\ub81e\\ub81f\\ub820\\ub821\\ub822\\ub823\\ub826\\ub827\\ub829\\ub82a\\ub82b\\ub82d\\ub82e\\ub82f\\ub830\\ub831\\ub832\\ub833\\ub836\\ub83a\\ub83b\\ub83c\\ub83d\\ub83e\\ub83f\\ub841\\ub842\\ub843\\ub845\\ub846\\ub847\\ub848\\ub849\\ub84a\\ub84b\\ub84c\\ub84d\\ub84e\\ub84f\\ub850\\ub852\\ub854\\ub855\\ub856\\ub857\\ub858\\ub859\\ub85a\\ub85b\\ub85e\\ub85f\\ub861\\ub862\\ub863\\ub865\\ub866\\ub867\\ub868\\ub869\\ub86a\\ub86b\\ub86e\\ub870\\ub872\\ub873\\ub874\\ub875\\ub876\\ub877\\ub879\\ub87a\\ub87b\\ub87d\\ub87e\\ub87f\\ub880\\ub881\\ub882\\ub883\\ub884\\ufffd\".split(\"\"),e=0;e!=r[142].length;++e)65533!==r[142][e].charCodeAt(0)&&(n[r[142][e]]=36352+e,t[36352+e]=r[142][e]);for(r[143]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub885\\ub886\\ub887\\ub888\\ub889\\ub88a\\ub88b\\ub88c\\ub88e\\ub88f\\ub890\\ub891\\ub892\\ub893\\ub894\\ub895\\ub896\\ub897\\ub898\\ub899\\ub89a\\ub89b\\ub89c\\ub89d\\ub89e\\ub89f\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub8a0\\ub8a1\\ub8a2\\ub8a3\\ub8a4\\ub8a5\\ub8a6\\ub8a7\\ub8a9\\ub8aa\\ub8ab\\ub8ac\\ub8ad\\ub8ae\\ub8af\\ub8b1\\ub8b2\\ub8b3\\ub8b5\\ub8b6\\ub8b7\\ub8b9\\ub8ba\\ub8bb\\ub8bc\\ub8bd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ub8be\\ub8bf\\ub8c2\\ub8c4\\ub8c6\\ub8c7\\ub8c8\\ub8c9\\ub8ca\\ub8cb\\ub8cd\\ub8ce\\ub8cf\\ub8d1\\ub8d2\\ub8d3\\ub8d5\\ub8d6\\ub8d7\\ub8d8\\ub8d9\\ub8da\\ub8db\\ub8dc\\ub8de\\ub8e0\\ub8e2\\ub8e3\\ub8e4\\ub8e5\\ub8e6\\ub8e7\\ub8ea\\ub8eb\\ub8ed\\ub8ee\\ub8ef\\ub8f1\\ub8f2\\ub8f3\\ub8f4\\ub8f5\\ub8f6\\ub8f7\\ub8fa\\ub8fc\\ub8fe\\ub8ff\\ub900\\ub901\\ub902\\ub903\\ub905\\ub906\\ub907\\ub908\\ub909\\ub90a\\ub90b\\ub90c\\ub90d\\ub90e\\ub90f\\ub910\\ub911\\ub912\\ub913\\ub914\\ub915\\ub916\\ub917\\ub919\\ub91a\\ub91b\\ub91c\\ub91d\\ub91e\\ub91f\\ub921\\ub922\\ub923\\ub924\\ub925\\ub926\\ub927\\ub928\\ub929\\ub92a\\ub92b\\ub92c\\ub92d\\ub92e\\ub92f\\ub930\\ub931\\ub932\\ub933\\ub934\\ub935\\ub936\\ub937\\ub938\\ub939\\ub93a\\ub93b\\ub93e\\ub93f\\ub941\\ub942\\ub943\\ub945\\ub946\\ub947\\ub948\\ub949\\ub94a\\ub94b\\ub94d\\ub94e\\ub950\\ub952\\ub953\\ub954\\ub955\\ub956\\ub957\\ufffd\".split(\"\"),e=0;e!=r[143].length;++e)65533!==r[143][e].charCodeAt(0)&&(n[r[143][e]]=36608+e,t[36608+e]=r[143][e]);for(r[144]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufff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\\ubba1\\ubba2\\ubba3\\ubba5\\ubba6\\ubba7\\ubba9\\ubbaa\\ubbab\\ubbad\\ubbae\\ubbaf\\ubbb0\\ubbb1\\ubbb2\\ubbb3\\ubbb5\\ubbb6\\ubbb8\\ubbb9\\ubbba\\ubbbb\\ubbbc\\ubbbd\\ubbbe\\ubbbf\\ubbc1\\ubbc2\\ubbc3\\ubbc5\\ubbc6\\ubbc7\\ubbc9\\ubbca\\ubbcb\\ubbcc\\ubbcd\\ubbce\\ubbcf\\ubbd1\\ubbd2\\ubbd4\\ubbd5\\ubbd6\\ubbd7\\ubbd8\\ubbd9\\ubbda\\ubbdb\\ubbdc\\ubbdd\\ubbde\\ubbdf\\ubbe0\\ubbe1\\ubbe2\\ubbe3\\ubbe4\\ubbe5\\ubbe6\\ubbe7\\ubbe8\\ubbe9\\ubbea\\ubbeb\\ubbec\\ubbed\\ubbee\\ubbef\\ubbf0\\ubbf1\\ubbf2\\ubbf3\\ubbf4\\ubbf5\\ubbf6\\ubbf7\\ubbfa\\ubbfb\\ubbfd\\ubbfe\\ubc01\\ufffd\".split(\"\"),e=0;e!=r[146].length;++e)65533!==r[146][e].charCodeAt(0)&&(n[r[146][e]]=37376+e,t[37376+e]=r[146][e]);for(r[147]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubc03\\ubc04\\ubc05\\ubc06\\ubc07\\ubc0a\\ubc0e\\ubc10\\ubc12\\ubc13\\ubc19\\ubc1a\\ubc20\\ubc21\\ubc22\\ubc23\\ubc26\\ubc28\\ubc2a\\ubc2b\\ubc2c\\ubc2e\\ubc2f\\ubc32\\ubc33\\ubc35\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubc36\\ubc37\\ubc39\\ubc3a\\ubc3b\\ubc3c\\ubc3d\\ubc3e\\ubc3f\\ubc42\\ubc46\\ubc47\\ubc48\\ubc4a\\ubc4b\\ubc4e\\ubc4f\\ubc51\\ubc52\\ubc53\\ubc54\\ubc55\\ubc56\\ubc57\\ubc58\\ubc59\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubc5a\\ubc5b\\ubc5c\\ubc5e\\ubc5f\\ubc60\\ubc61\\ubc62\\ubc63\\ubc64\\ubc65\\ubc66\\ubc67\\ubc68\\ubc69\\ubc6a\\ubc6b\\ubc6c\\ubc6d\\ubc6e\\ubc6f\\ubc70\\ubc71\\ubc72\\ubc73\\ubc74\\ubc75\\ubc76\\ubc77\\ubc78\\ubc79\\ubc7a\\ubc7b\\ubc7c\\ubc7d\\ubc7e\\ubc7f\\ubc80\\ubc81\\ubc82\\ubc83\\ubc86\\ubc87\\ubc89\\ubc8a\\ubc8d\\ubc8f\\ubc90\\ubc91\\ubc92\\ubc93\\ubc96\\ubc98\\ubc9b\\ubc9c\\ubc9d\\ubc9e\\ubc9f\\ubca2\\ubca3\\ubca5\\ubca6\\ubca9\\ubcaa\\ubcab\\ubcac\\ubcad\\ubcae\\ubcaf\\ubcb2\\ubcb6\\ubcb7\\ubcb8\\ubcb9\\ubcba\\ubcbb\\ubcbe\\ubcbf\\ubcc1\\ubcc2\\ubcc3\\ubcc5\\ubcc6\\ubcc7\\ubcc8\\ubcc9\\ubcca\\ubccb\\ubccc\\ubcce\\ubcd2\\ubcd3\\ubcd4\\ubcd6\\ubcd7\\ubcd9\\ubcda\\ubcdb\\ubcdd\\ubcde\\ubcdf\\ubce0\\ubce1\\ubce2\\ubce3\\ubce4\\ubce5\\ubce6\\ubce7\\ubce8\\ubce9\\ubcea\\ubceb\\ubcec\\ubced\\ubcee\\ubcef\\ubcf0\\ubcf1\\ubcf2\\ubcf3\\ubcf7\\ubcf9\\ubcfa\\ubcfb\\ubcfd\\ufffd\".split(\"\"),e=0;e!=r[147].length;++e)65533!==r[147][e].charCodeAt(0)&&(n[r[147][e]]=37632+e,t[37632+e]=r[147][e]);for(r[148]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubcfe\\ubcff\\ubd00\\ubd01\\ubd02\\ubd03\\ubd06\\ubd08\\ubd0a\\ubd0b\\ubd0c\\ubd0d\\ubd0e\\ubd0f\\ubd11\\ubd12\\ubd13\\ubd15\\ubd16\\ubd17\\ubd18\\ubd19\\ubd1a\\ubd1b\\ubd1c\\ubd1d\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubd1e\\ubd1f\\ubd20\\ubd21\\ubd22\\ubd23\\ubd25\\ubd26\\ubd27\\ubd28\\ubd29\\ubd2a\\ubd2b\\ubd2d\\ubd2e\\ubd2f\\ubd30\\ubd31\\ubd32\\ubd33\\ubd34\\ubd35\\ubd36\\ubd37\\ubd38\\ubd39\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubd3a\\ubd3b\\ubd3c\\ubd3d\\ubd3e\\ubd3f\\ubd41\\ubd42\\ubd43\\ubd44\\ubd45\\ubd46\\ubd47\\ubd4a\\ubd4b\\ubd4d\\ubd4e\\ubd4f\\ubd51\\ubd52\\ubd53\\ubd54\\ubd55\\ubd56\\ubd57\\ubd5a\\ubd5b\\ubd5c\\ubd5d\\ubd5e\\ubd5f\\ubd60\\ubd61\\ubd62\\ubd63\\ubd65\\ubd66\\ubd67\\ubd69\\ubd6a\\ubd6b\\ubd6c\\ubd6d\\ubd6e\\ubd6f\\ubd70\\ubd71\\ubd72\\ubd73\\ubd74\\ubd75\\ubd76\\ubd77\\ubd78\\ubd79\\ubd7a\\ubd7b\\ubd7c\\ubd7d\\ubd7e\\ubd7f\\ubd82\\ubd83\\ubd85\\ubd86\\ubd8b\\ubd8c\\ubd8d\\ubd8e\\ubd8f\\ubd92\\ubd94\\ubd96\\ubd97\\ubd98\\ubd9b\\ubd9d\\ubd9e\\ubd9f\\ubda0\\ubda1\\ubda2\\ubda3\\ubda5\\ubda6\\ubda7\\ubda8\\ubda9\\ubdaa\\ubdab\\ubdac\\ubdad\\ubdae\\ubdaf\\ubdb1\\ubdb2\\ubdb3\\ubdb4\\ubdb5\\ubdb6\\ubdb7\\ubdb9\\ubdba\\ubdbb\\ubdbc\\ubdbd\\ubdbe\\ubdbf\\ubdc0\\ubdc1\\ubdc2\\ubdc3\\ubdc4\\ubdc5\\ubdc6\\ubdc7\\ubdc8\\ubdc9\\ubdca\\ubdcb\\ubdcc\\ubdcd\\ubdce\\ubdcf\\ubdd0\\ubdd1\\ufffd\".split(\"\"),e=0;e!=r[148].length;++e)65533!==r[148][e].charCodeAt(0)&&(n[r[148][e]]=37888+e,t[37888+e]=r[148][e]);for(r[149]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubdd2\\ubdd3\\ubdd6\\ubdd7\\ubdd9\\ubdda\\ubddb\\ubddd\\ubdde\\ubddf\\ubde0\\ubde1\\ubde2\\ubde3\\ubde4\\ubde5\\ubde6\\ubde7\\ubde8\\ubdea\\ubdeb\\ubdec\\ubded\\ubdee\\ubdef\\ubdf1\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubdf2\\ubdf3\\ubdf5\\ubdf6\\ubdf7\\ubdf9\\ubdfa\\ubdfb\\ubdfc\\ubdfd\\ubdfe\\ubdff\\ube01\\ube02\\ube04\\ube06\\ube07\\ube08\\ube09\\ube0a\\ube0b\\ube0e\\ube0f\\ube11\\ube12\\ube13\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ube15\\ube16\\ube17\\ube18\\ube19\\ube1a\\ube1b\\ube1e\\ube20\\ube21\\ube22\\ube23\\ube24\\ube25\\ube26\\ube27\\ube28\\ube29\\ube2a\\ube2b\\ube2c\\ube2d\\ube2e\\ube2f\\ube30\\ube31\\ube32\\ube33\\ube34\\ube35\\ube36\\ube37\\ube38\\ube39\\ube3a\\ube3b\\ube3c\\ube3d\\ube3e\\ube3f\\ube40\\ube41\\ube42\\ube43\\ube46\\ube47\\ube49\\ube4a\\ube4b\\ube4d\\ube4f\\ube50\\ube51\\ube52\\ube53\\ube56\\ube58\\ube5c\\ube5d\\ube5e\\ube5f\\ube62\\ube63\\ube65\\ube66\\ube67\\ube69\\ube6b\\ube6c\\ube6d\\ube6e\\ube6f\\ube72\\ube76\\ube77\\ube78\\ube79\\ube7a\\ube7e\\ube7f\\ube81\\ube82\\ube83\\ube85\\ube86\\ube87\\ube88\\ube89\\ube8a\\ube8b\\ube8e\\ube92\\ube93\\ube94\\ube95\\ube96\\ube97\\ube9a\\ube9b\\ube9c\\ube9d\\ube9e\\ube9f\\ubea0\\ubea1\\ubea2\\ubea3\\ubea4\\ubea5\\ubea6\\ubea7\\ubea9\\ubeaa\\ubeab\\ubeac\\ubead\\ubeae\\ubeaf\\ubeb0\\ubeb1\\ubeb2\\ubeb3\\ubeb4\\ubeb5\\ubeb6\\ubeb7\\ufffd\".split(\"\"),e=0;e!=r[149].length;++e)65533!==r[149][e].charCodeAt(0)&&(n[r[149][e]]=38144+e,t[38144+e]=r[149][e]);for(r[150]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubeb8\\ubeb9\\ubeba\\ubebb\\ubebc\\ubebd\\ubebe\\ubebf\\ubec0\\ubec1\\ubec2\\ubec3\\ubec4\\ubec5\\ubec6\\ubec7\\ubec8\\ubec9\\ubeca\\ubecb\\ubecc\\ubecd\\ubece\\ubecf\\ubed2\\ubed3\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubed5\\ubed6\\ubed9\\ubeda\\ubedb\\ubedc\\ubedd\\ubede\\ubedf\\ubee1\\ubee2\\ubee6\\ubee7\\ubee8\\ubee9\\ubeea\\ubeeb\\ubeed\\ubeee\\ubeef\\ubef0\\ubef1\\ubef2\\ubef3\\ubef4\\ubef5\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubef6\\ubef7\\ubef8\\ubef9\\ubefa\\ubefb\\ubefc\\ubefd\\ubefe\\ubeff\\ubf00\\ubf02\\ubf03\\ubf04\\ubf05\\ubf06\\ubf07\\ubf0a\\ubf0b\\ubf0c\\ubf0d\\ubf0e\\ubf0f\\ubf10\\ubf11\\ubf12\\ubf13\\ubf14\\ubf15\\ubf16\\ubf17\\ubf1a\\ubf1e\\ubf1f\\ubf20\\ubf21\\ubf22\\ubf23\\ubf24\\ubf25\\ubf26\\ubf27\\ubf28\\ubf29\\ubf2a\\ubf2b\\ubf2c\\ubf2d\\ubf2e\\ubf2f\\ubf30\\ubf31\\ubf32\\ubf33\\ubf34\\ubf35\\ubf36\\ubf37\\ubf38\\ubf39\\ubf3a\\ubf3b\\ubf3c\\ubf3d\\ubf3e\\ubf3f\\ubf42\\ubf43\\ubf45\\ubf46\\ubf47\\ubf49\\ubf4a\\ubf4b\\ubf4c\\ubf4d\\ubf4e\\ubf4f\\ubf52\\ubf53\\ubf54\\ubf56\\ubf57\\ubf58\\ubf59\\ubf5a\\ubf5b\\ubf5c\\ubf5d\\ubf5e\\ubf5f\\ubf60\\ubf61\\ubf62\\ubf63\\ubf64\\ubf65\\ubf66\\ubf67\\ubf68\\ubf69\\ubf6a\\ubf6b\\ubf6c\\ubf6d\\ubf6e\\ubf6f\\ubf70\\ubf71\\ubf72\\ubf73\\ubf74\\ubf75\\ubf76\\ubf77\\ubf78\\ubf79\\ubf7a\\ubf7b\\ubf7c\\ubf7d\\ubf7e\\ubf7f\\ubf80\\ubf81\\ubf82\\ufffd\".split(\"\"),e=0;e!=r[150].length;++e)65533!==r[150][e].charCodeAt(0)&&(n[r[150][e]]=38400+e,t[38400+e]=r[150][e]);for(r[151]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubf83\\ubf84\\ubf85\\ubf86\\ubf87\\ubf88\\ubf89\\ubf8a\\ubf8b\\ubf8c\\ubf8d\\ubf8e\\ubf8f\\ubf90\\ubf91\\ubf92\\ubf93\\ubf95\\ubf96\\ubf97\\ubf98\\ubf99\\ubf9a\\ubf9b\\ubf9c\\ubf9d\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubf9e\\ubf9f\\ubfa0\\ubfa1\\ubfa2\\ubfa3\\ubfa4\\ubfa5\\ubfa6\\ubfa7\\ubfa8\\ubfa9\\ubfaa\\ubfab\\ubfac\\ubfad\\ubfae\\ubfaf\\ubfb1\\ubfb2\\ubfb3\\ubfb4\\ubfb5\\ubfb6\\ubfb7\\ubfb8\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ubfb9\\ubfba\\ubfbb\\ubfbc\\ubfbd\\ubfbe\\ubfbf\\ubfc0\\ubfc1\\ubfc2\\ubfc3\\ubfc4\\ubfc6\\ubfc7\\ubfc8\\ubfc9\\ubfca\\ubfcb\\ubfce\\ubfcf\\ubfd1\\ubfd2\\ubfd3\\ubfd5\\ubfd6\\ubfd7\\ubfd8\\ubfd9\\ubfda\\ubfdb\\ubfdd\\ubfde\\ubfe0\\ubfe2\\ubfe3\\ubfe4\\ubfe5\\ubfe6\\ubfe7\\ubfe8\\ubfe9\\ubfea\\ubfeb\\ubfec\\ubfed\\ubfee\\ubfef\\ubff0\\ubff1\\ubff2\\ubff3\\ubff4\\ubff5\\ubff6\\ubff7\\ubff8\\ubff9\\ubffa\\ubffb\\ubffc\\ubffd\\ubffe\\ubfff\\uc000\\uc001\\uc002\\uc003\\uc004\\uc005\\uc006\\uc007\\uc008\\uc009\\uc00a\\uc00b\\uc00c\\uc00d\\uc00e\\uc00f\\uc010\\uc011\\uc012\\uc013\\uc014\\uc015\\uc016\\uc017\\uc018\\uc019\\uc01a\\uc01b\\uc01c\\uc01d\\uc01e\\uc01f\\uc020\\uc021\\uc022\\uc023\\uc024\\uc025\\uc026\\uc027\\uc028\\uc029\\uc02a\\uc02b\\uc02c\\uc02d\\uc02e\\uc02f\\uc030\\uc031\\uc032\\uc033\\uc034\\uc035\\uc036\\uc037\\uc038\\uc039\\uc03a\\uc03b\\uc03d\\uc03e\\uc03f\\ufffd\".split(\"\"),e=0;e!=r[151].length;++e)65533!==r[151][e].charCodeAt(0)&&(n[r[151][e]]=38656+e,t[38656+e]=r[151][e]);for(r[152]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc040\\uc041\\uc042\\uc043\\uc044\\uc045\\uc046\\uc047\\uc048\\uc049\\uc04a\\uc04b\\uc04c\\uc04d\\uc04e\\uc04f\\uc050\\uc052\\uc053\\uc054\\uc055\\uc056\\uc057\\uc059\\uc05a\\uc05b\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc05d\\uc05e\\uc05f\\uc061\\uc062\\uc063\\uc064\\uc065\\uc066\\uc067\\uc06a\\uc06b\\uc06c\\uc06d\\uc06e\\uc06f\\uc070\\uc071\\uc072\\uc073\\uc074\\uc075\\uc076\\uc077\\uc078\\uc079\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc07a\\uc07b\\uc07c\\uc07d\\uc07e\\uc07f\\uc080\\uc081\\uc082\\uc083\\uc084\\uc085\\uc086\\uc087\\uc088\\uc089\\uc08a\\uc08b\\uc08c\\uc08d\\uc08e\\uc08f\\uc092\\uc093\\uc095\\uc096\\uc097\\uc099\\uc09a\\uc09b\\uc09c\\uc09d\\uc09e\\uc09f\\uc0a2\\uc0a4\\uc0a6\\uc0a7\\uc0a8\\uc0a9\\uc0aa\\uc0ab\\uc0ae\\uc0b1\\uc0b2\\uc0b7\\uc0b8\\uc0b9\\uc0ba\\uc0bb\\uc0be\\uc0c2\\uc0c3\\uc0c4\\uc0c6\\uc0c7\\uc0ca\\uc0cb\\uc0cd\\uc0ce\\uc0cf\\uc0d1\\uc0d2\\uc0d3\\uc0d4\\uc0d5\\uc0d6\\uc0d7\\uc0da\\uc0de\\uc0df\\uc0e0\\uc0e1\\uc0e2\\uc0e3\\uc0e6\\uc0e7\\uc0e9\\uc0ea\\uc0eb\\uc0ed\\uc0ee\\uc0ef\\uc0f0\\uc0f1\\uc0f2\\uc0f3\\uc0f6\\uc0f8\\uc0fa\\uc0fb\\uc0fc\\uc0fd\\uc0fe\\uc0ff\\uc101\\uc102\\uc103\\uc105\\uc106\\uc107\\uc109\\uc10a\\uc10b\\uc10c\\uc10d\\uc10e\\uc10f\\uc111\\uc112\\uc113\\uc114\\uc116\\uc117\\uc118\\uc119\\uc11a\\uc11b\\uc121\\uc122\\uc125\\uc128\\uc129\\uc12a\\uc12b\\uc12e\\ufffd\".split(\"\"),e=0;e!=r[152].length;++e)65533!==r[152][e].charCodeAt(0)&&(n[r[152][e]]=38912+e,t[38912+e]=r[152][e]);for(r[153]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc132\\uc133\\uc134\\uc135\\uc137\\uc13a\\uc13b\\uc13d\\uc13e\\uc13f\\uc141\\uc142\\uc143\\uc144\\uc145\\uc146\\uc147\\uc14a\\uc14e\\uc14f\\uc150\\uc151\\uc152\\uc153\\uc156\\uc157\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc159\\uc15a\\uc15b\\uc15d\\uc15e\\uc15f\\uc160\\uc161\\uc162\\uc163\\uc166\\uc16a\\uc16b\\uc16c\\uc16d\\uc16e\\uc16f\\uc171\\uc172\\uc173\\uc175\\uc176\\uc177\\uc179\\uc17a\\uc17b\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc17c\\uc17d\\uc17e\\uc17f\\uc180\\uc181\\uc182\\uc183\\uc184\\uc186\\uc187\\uc188\\uc189\\uc18a\\uc18b\\uc18f\\uc191\\uc192\\uc193\\uc195\\uc197\\uc198\\uc199\\uc19a\\uc19b\\uc19e\\uc1a0\\uc1a2\\uc1a3\\uc1a4\\uc1a6\\uc1a7\\uc1aa\\uc1ab\\uc1ad\\uc1ae\\uc1af\\uc1b1\\uc1b2\\uc1b3\\uc1b4\\uc1b5\\uc1b6\\uc1b7\\uc1b8\\uc1b9\\uc1ba\\uc1bb\\uc1bc\\uc1be\\uc1bf\\uc1c0\\uc1c1\\uc1c2\\uc1c3\\uc1c5\\uc1c6\\uc1c7\\uc1c9\\uc1ca\\uc1cb\\uc1cd\\uc1ce\\uc1cf\\uc1d0\\uc1d1\\uc1d2\\uc1d3\\uc1d5\\uc1d6\\uc1d9\\uc1da\\uc1db\\uc1dc\\uc1dd\\uc1de\\uc1df\\uc1e1\\uc1e2\\uc1e3\\uc1e5\\uc1e6\\uc1e7\\uc1e9\\uc1ea\\uc1eb\\uc1ec\\uc1ed\\uc1ee\\uc1ef\\uc1f2\\uc1f4\\uc1f5\\uc1f6\\uc1f7\\uc1f8\\uc1f9\\uc1fa\\uc1fb\\uc1fe\\uc1ff\\uc201\\uc202\\uc203\\uc205\\uc206\\uc207\\uc208\\uc209\\uc20a\\uc20b\\uc20e\\uc210\\uc212\\uc213\\uc214\\uc215\\uc216\\uc217\\uc21a\\uc21b\\uc21d\\uc21e\\uc221\\uc222\\uc223\\ufffd\".split(\"\"),e=0;e!=r[153].length;++e)65533!==r[153][e].charCodeAt(0)&&(n[r[153][e]]=39168+e,t[39168+e]=r[153][e]);for(r[154]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc224\\uc225\\uc226\\uc227\\uc22a\\uc22c\\uc22e\\uc230\\uc233\\uc235\\uc236\\uc237\\uc238\\uc239\\uc23a\\uc23b\\uc23c\\uc23d\\uc23e\\uc23f\\uc240\\uc241\\uc242\\uc243\\uc244\\uc245\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc246\\uc247\\uc249\\uc24a\\uc24b\\uc24c\\uc24d\\uc24e\\uc24f\\uc252\\uc253\\uc255\\uc256\\uc257\\uc259\\uc25a\\uc25b\\uc25c\\uc25d\\uc25e\\uc25f\\uc261\\uc262\\uc263\\uc264\\uc266\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc267\\uc268\\uc269\\uc26a\\uc26b\\uc26e\\uc26f\\uc271\\uc272\\uc273\\uc275\\uc276\\uc277\\uc278\\uc279\\uc27a\\uc27b\\uc27e\\uc280\\uc282\\uc283\\uc284\\uc285\\uc286\\uc287\\uc28a\\uc28b\\uc28c\\uc28d\\uc28e\\uc28f\\uc291\\uc292\\uc293\\uc294\\uc295\\uc296\\uc297\\uc299\\uc29a\\uc29c\\uc29e\\uc29f\\uc2a0\\uc2a1\\uc2a2\\uc2a3\\uc2a6\\uc2a7\\uc2a9\\uc2aa\\uc2ab\\uc2ae\\uc2af\\uc2b0\\uc2b1\\uc2b2\\uc2b3\\uc2b6\\uc2b8\\uc2ba\\uc2bb\\uc2bc\\uc2bd\\uc2be\\uc2bf\\uc2c0\\uc2c1\\uc2c2\\uc2c3\\uc2c4\\uc2c5\\uc2c6\\uc2c7\\uc2c8\\uc2c9\\uc2ca\\uc2cb\\uc2cc\\uc2cd\\uc2ce\\uc2cf\\uc2d0\\uc2d1\\uc2d2\\uc2d3\\uc2d4\\uc2d5\\uc2d6\\uc2d7\\uc2d8\\uc2d9\\uc2da\\uc2db\\uc2de\\uc2df\\uc2e1\\uc2e2\\uc2e5\\uc2e6\\uc2e7\\uc2e8\\uc2e9\\uc2ea\\uc2ee\\uc2f0\\uc2f2\\uc2f3\\uc2f4\\uc2f5\\uc2f7\\uc2fa\\uc2fd\\uc2fe\\uc2ff\\uc301\\uc302\\uc303\\uc304\\uc305\\uc306\\uc307\\uc30a\\uc30b\\uc30e\\uc30f\\ufffd\".split(\"\"),e=0;e!=r[154].length;++e)65533!==r[154][e].charCodeAt(0)&&(n[r[154][e]]=39424+e,t[39424+e]=r[154][e]);for(r[155]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc310\\uc311\\uc312\\uc316\\uc317\\uc319\\uc31a\\uc31b\\uc31d\\uc31e\\uc31f\\uc320\\uc321\\uc322\\uc323\\uc326\\uc327\\uc32a\\uc32b\\uc32c\\uc32d\\uc32e\\uc32f\\uc330\\uc331\\uc332\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc333\\uc334\\uc335\\uc336\\uc337\\uc338\\uc339\\uc33a\\uc33b\\uc33c\\uc33d\\uc33e\\uc33f\\uc340\\uc341\\uc342\\uc343\\uc344\\uc346\\uc347\\uc348\\uc349\\uc34a\\uc34b\\uc34c\\uc34d\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc34e\\uc34f\\uc350\\uc351\\uc352\\uc353\\uc354\\uc355\\uc356\\uc357\\uc358\\uc359\\uc35a\\uc35b\\uc35c\\uc35d\\uc35e\\uc35f\\uc360\\uc361\\uc362\\uc363\\uc364\\uc365\\uc366\\uc367\\uc36a\\uc36b\\uc36d\\uc36e\\uc36f\\uc371\\uc373\\uc374\\uc375\\uc376\\uc377\\uc37a\\uc37b\\uc37e\\uc37f\\uc380\\uc381\\uc382\\uc383\\uc385\\uc386\\uc387\\uc389\\uc38a\\uc38b\\uc38d\\uc38e\\uc38f\\uc390\\uc391\\uc392\\uc393\\uc394\\uc395\\uc396\\uc397\\uc398\\uc399\\uc39a\\uc39b\\uc39c\\uc39d\\uc39e\\uc39f\\uc3a0\\uc3a1\\uc3a2\\uc3a3\\uc3a4\\uc3a5\\uc3a6\\uc3a7\\uc3a8\\uc3a9\\uc3aa\\uc3ab\\uc3ac\\uc3ad\\uc3ae\\uc3af\\uc3b0\\uc3b1\\uc3b2\\uc3b3\\uc3b4\\uc3b5\\uc3b6\\uc3b7\\uc3b8\\uc3b9\\uc3ba\\uc3bb\\uc3bc\\uc3bd\\uc3be\\uc3bf\\uc3c1\\uc3c2\\uc3c3\\uc3c4\\uc3c5\\uc3c6\\uc3c7\\uc3c8\\uc3c9\\uc3ca\\uc3cb\\uc3cc\\uc3cd\\uc3ce\\uc3cf\\uc3d0\\uc3d1\\uc3d2\\uc3d3\\uc3d4\\uc3d5\\uc3d6\\uc3d7\\uc3da\\ufffd\".split(\"\"),e=0;e!=r[155].length;++e)65533!==r[155][e].charCodeAt(0)&&(n[r[155][e]]=39680+e,t[39680+e]=r[155][e]);for(r[156]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc3db\\uc3dd\\uc3de\\uc3e1\\uc3e3\\uc3e4\\uc3e5\\uc3e6\\uc3e7\\uc3ea\\uc3eb\\uc3ec\\uc3ee\\uc3ef\\uc3f0\\uc3f1\\uc3f2\\uc3f3\\uc3f6\\uc3f7\\uc3f9\\uc3fa\\uc3fb\\uc3fc\\uc3fd\\uc3fe\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc3ff\\uc400\\uc401\\uc402\\uc403\\uc404\\uc405\\uc406\\uc407\\uc409\\uc40a\\uc40b\\uc40c\\uc40d\\uc40e\\uc40f\\uc411\\uc412\\uc413\\uc414\\uc415\\uc416\\uc417\\uc418\\uc419\\uc41a\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uc41b\\uc41c\\uc41d\\uc41e\\uc41f\\uc420\\uc421\\uc422\\uc423\\uc425\\uc426\\uc427\\uc428\\uc429\\uc42a\\uc42b\\uc42d\\uc42e\\uc42f\\uc431\\uc432\\uc433\\uc435\\uc436\\uc437\\uc438\\uc439\\uc43a\\uc43b\\uc43e\\uc43f\\uc440\\uc441\\uc442\\uc443\\uc444\\uc445\\uc446\\uc447\\uc449\\uc44a\\uc44b\\uc44c\\uc44d\\uc44e\\uc44f\\uc450\\uc451\\uc452\\uc453\\uc454\\uc455\\uc456\\uc457\\uc458\\uc459\\uc45a\\uc45b\\uc45c\\uc45d\\uc45e\\uc45f\\uc460\\uc461\\uc462\\uc463\\uc466\\uc467\\uc469\\uc46a\\uc46b\\uc46d\\uc46e\\uc46f\\uc470\\uc471\\uc472\\uc473\\uc476\\uc477\\uc478\\uc47a\\uc47b\\uc47c\\uc47d\\uc47e\\uc47f\\uc481\\uc482\\uc483\\uc484\\uc485\\uc486\\uc487\\uc488\\uc489\\uc48a\\uc48b\\uc48c\\uc48d\\uc48e\\uc48f\\uc490\\uc491\\uc492\\uc493\\uc495\\uc496\\uc497\\uc498\\uc499\\uc49a\\uc49b\\uc49d\\uc49e\\uc49f\\uc4a0\\uc4a1\\uc4a2\\uc4a3\\uc4a4\\uc4a5\\uc4a6\\uc4a7\\uc4a8\\uc4a9\\ufffd\".split(\"\"),e=0;e!=r[156].length;++e)65533!==r[156][e].charCodeAt(0)&&(n[r[156][e]]=39936+e,t[39936+e]=r[156][e]);for(r[157]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufff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\\u317b\\u317c\\u317d\\u317e\\u317f\\u3180\\u3181\\u3182\\u3183\\u3184\\u3185\\u3186\\u3187\\u3188\\u3189\\u318a\\u318b\\u318c\\u318d\\u318e\\ufffd\".split(\"\"),e=0;e!=r[164].length;++e)65533!==r[164][e].charCodeAt(0)&&(n[r[164][e]]=41984+e,t[41984+e]=r[164][e]);for(r[165]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uca47\\uca48\\uca49\\uca4a\\uca4b\\uca4e\\uca4f\\uca51\\uca52\\uca53\\uca55\\uca56\\uca57\\uca58\\uca59\\uca5a\\uca5b\\uca5e\\uca62\\uca63\\uca64\\uca65\\uca66\\uca67\\uca69\\uca6a\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uca6b\\uca6c\\uca6d\\uca6e\\uca6f\\uca70\\uca71\\uca72\\uca73\\uca74\\uca75\\uca76\\uca77\\uca78\\uca79\\uca7a\\uca7b\\uca7c\\uca7e\\uca7f\\uca80\\uca81\\uca82\\uca83\\uca85\\uca86\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\uca87\\uca88\\uca89\\uca8a\\uca8b\\uca8c\\uca8d\\uca8e\\uca8f\\uca90\\uca91\\uca92\\uca93\\uca94\\uca95\\uca96\\uca97\\uca99\\uca9a\\uca9b\\uca9c\\uca9d\\uca9e\\uca9f\\ucaa0\\ucaa1\\ucaa2\\ucaa3\\ucaa4\\ucaa5\\ucaa6\\ucaa7\\u2170\\u2171\\u2172\\u2173\\u2174\\u2175\\u2176\\u2177\\u2178\\u2179\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u2160\\u2161\\u2162\\u2163\\u2164\\u2165\\u2166\\u2167\\u2168\\u2169\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u0391\\u0392\\u0393\\u0394\\u0395\\u0396\\u0397\\u0398\\u0399\\u039a\\u039b\\u039c\\u039d\\u039e\\u039f\\u03a0\\u03a1\\u03a3\\u03a4\\u03a5\\u03a6\\u03a7\\u03a8\\u03a9\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u03b1\\u03b2\\u03b3\\u03b4\\u03b5\\u03b6\\u03b7\\u03b8\\u03b9\\u03ba\\u03bb\\u03bc\\u03bd\\u03be\\u03bf\\u03c0\\u03c1\\u03c3\\u03c4\\u03c5\\u03c6\\u03c7\\u03c8\\u03c9\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\".split(\"\"),e=0;e!=r[165].length;++e)65533!==r[165][e].charCodeAt(0)&&(n[r[165][e]]=42240+e,t[42240+e]=r[165][e]);for(r[166]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ucaa8\\ucaa9\\ucaaa\\ucaab\\ucaac\\ucaad\\ucaae\\ucaaf\\ucab0\\ucab1\\ucab2\\ucab3\\ucab4\\ucab5\\ucab6\\ucab7\\ucab8\\ucab9\\ucaba\\ucabb\\ucabe\\ucabf\\ucac1\\ucac2\\ucac3\\ucac5\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ucac6\\ucac7\\ucac8\\ucac9\\ucaca\\ucacb\\ucace\\ucad0\\ucad2\\ucad4\\ucad5\\ucad6\\ucad7\\ucada\\ucadb\\ucadc\\ucadd\\ucade\\ucadf\\ucae1\\ucae2\\ucae3\\ucae4\\ucae5\\ucae6\\ucae7\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ucae8\\ucae9\\ucaea\\ucaeb\\ucaed\\ucaee\\ucaef\\ucaf0\\ucaf1\\ucaf2\\ucaf3\\ucaf5\\ucaf6\\ucaf7\\ucaf8\\ucaf9\\ucafa\\ucafb\\ucafc\\ucafd\\ucafe\\ucaff\\ucb00\\ucb01\\ucb02\\ucb03\\ucb04\\ucb05\\ucb06\\ucb07\\ucb09\\ucb0a\\u2500\\u2502\\u250c\\u2510\\u2518\\u2514\\u251c\\u252c\\u2524\\u2534\\u253c\\u2501\\u2503\\u250f\\u2513\\u251b\\u2517\\u2523\\u2533\\u252b\\u253b\\u254b\\u2520\\u252f\\u2528\\u2537\\u253f\\u251d\\u2530\\u2525\\u2538\\u2542\\u2512\\u2511\\u251a\\u2519\\u2516\\u2515\\u250e\\u250d\\u251e\\u251f\\u2521\\u2522\\u2526\\u2527\\u2529\\u252a\\u252d\\u252e\\u2531\\u2532\\u2535\\u2536\\u2539\\u253a\\u253d\\u253e\\u2540\\u2541\\u2543\\u2544\\u2545\\u2546\\u2547\\u2548\\u2549\\u254a\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\".split(\"\"),e=0;e!=r[166].length;++e)65533!==r[166][e].charCodeAt(0)&&(n[r[166][e]]=42496+e,t[42496+e]=r[166][e]);for(r[167]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ucb0b\\ucb0c\\ucb0d\\ucb0e\\ucb0f\\ucb11\\ucb12\\ucb13\\ucb15\\ucb16\\ucb17\\ucb19\\ucb1a\\ucb1b\\ucb1c\\ucb1d\\ucb1e\\ucb1f\\ucb22\\ucb23\\ucb24\\ucb25\\ucb26\\ucb27\\ucb28\\ucb29\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ucb2a\\ucb2b\\ucb2c\\ucb2d\\ucb2e\\ucb2f\\ucb30\\ucb31\\ucb32\\ucb33\\ucb34\\ucb35\\ucb36\\ucb37\\ucb38\\ucb39\\ucb3a\\ucb3b\\ucb3c\\ucb3d\\ucb3e\\ucb3f\\ucb40\\ucb42\\ucb43\\ucb44\\ufffd\\ufffd\\uf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d075\\ud076\\ud077\\ud078\\ud079\\ud07a\\ud07b\\ud07e\\ud07f\\ud080\\ud082\\ud083\\ud084\\ud085\\ud086\\ud087\\ud088\\ud089\\ud08a\\ud08b\\ud08c\\ud08d\\ud08e\\ud08f\\ud090\\ud091\\ud092\\ud093\\ud094\\ub1df\\ub1e8\\ub1e9\\ub1ec\\ub1f0\\ub1f9\\ub1fb\\ub1fd\\ub204\\ub205\\ub208\\ub20b\\ub20c\\ub214\\ub215\\ub217\\ub219\\ub220\\ub234\\ub23c\\ub258\\ub25c\\ub260\\ub268\\ub269\\ub274\\ub275\\ub27c\\ub284\\ub285\\ub289\\ub290\\ub291\\ub294\\ub298\\ub299\\ub29a\\ub2a0\\ub2a1\\ub2a3\\ub2a5\\ub2a6\\ub2aa\\ub2ac\\ub2b0\\ub2b4\\ub2c8\\ub2c9\\ub2cc\\ub2d0\\ub2d2\\ub2d8\\ub2d9\\ub2db\\ub2dd\\ub2e2\\ub2e4\\ub2e5\\ub2e6\\ub2e8\\ub2eb\\ub2ec\\ub2ed\\ub2ee\\ub2ef\\ub2f3\\ub2f4\\ub2f5\\ub2f7\\ub2f8\\ub2f9\\ub2fa\\ub2fb\\ub2ff\\ub300\\ub301\\ub304\\ub308\\ub310\\ub311\\ub313\\ub314\\ub315\\ub31c\\ub354\\ub355\\ub356\\ub358\\ub35b\\ub35c\\ub35e\\ub35f\\ub364\\ub365\\ufffd\".split(\"\"),e=0;e!=r[180].length;++e)65533!==r[180][e].charCodeAt(0)&&(n[r[180][e]]=46080+e,t[46080+e]=r[180][e]);for(r[181]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud095\\ud096\\ud097\\ud098\\ud099\\ud09a\\ud09b\\ud09c\\ud09d\\ud09e\\ud09f\\ud0a0\\ud0a1\\ud0a2\\ud0a3\\ud0a6\\ud0a7\\ud0a9\\ud0aa\\ud0ab\\ud0ad\\ud0ae\\ud0af\\ud0b0\\ud0b1\\ud0b2\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud0b3\\ud0b6\\ud0b8\\ud0ba\\ud0bb\\ud0bc\\ud0bd\\ud0be\\ud0bf\\ud0c2\\ud0c3\\ud0c5\\ud0c6\\ud0c7\\ud0ca\\ud0cb\\ud0cc\\ud0cd\\ud0ce\\ud0cf\\ud0d2\\ud0d6\\ud0d7\\ud0d8\\ud0d9\\ud0da\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud0db\\ud0de\\ud0df\\ud0e1\\ud0e2\\ud0e3\\ud0e5\\ud0e6\\ud0e7\\ud0e8\\ud0e9\\ud0ea\\ud0eb\\ud0ee\\ud0f2\\ud0f3\\ud0f4\\ud0f5\\ud0f6\\ud0f7\\ud0f9\\ud0fa\\ud0fb\\ud0fc\\ud0fd\\ud0fe\\ud0ff\\ud100\\ud101\\ud102\\ud103\\ud104\\ub367\\ub369\\ub36b\\ub36e\\ub370\\ub371\\ub374\\ub378\\ub380\\ub381\\ub383\\ub384\\ub385\\ub38c\\ub390\\ub394\\ub3a0\\ub3a1\\ub3a8\\ub3ac\\ub3c4\\ub3c5\\ub3c8\\ub3cb\\ub3cc\\ub3ce\\ub3d0\\ub3d4\\ub3d5\\ub3d7\\ub3d9\\ub3db\\ub3dd\\ub3e0\\ub3e4\\ub3e8\\ub3fc\\ub410\\ub418\\ub41c\\ub420\\ub428\\ub429\\ub42b\\ub434\\ub450\\ub451\\ub454\\ub458\\ub460\\ub461\\ub463\\ub465\\ub46c\\ub480\\ub488\\ub49d\\ub4a4\\ub4a8\\ub4ac\\ub4b5\\ub4b7\\ub4b9\\ub4c0\\ub4c4\\ub4c8\\ub4d0\\ub4d5\\ub4dc\\ub4dd\\ub4e0\\ub4e3\\ub4e4\\ub4e6\\ub4ec\\ub4ed\\ub4ef\\ub4f1\\ub4f8\\ub514\\ub515\\ub518\\ub51b\\ub51c\\ub524\\ub525\\ub527\\ub528\\ub529\\ub52a\\ub530\\ub531\\ub534\\ub538\\ufffd\".split(\"\"),e=0;e!=r[181].length;++e)65533!==r[181][e].charCodeAt(0)&&(n[r[181][e]]=46336+e,t[46336+e]=r[181][e]);for(r[182]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud105\\ud106\\ud107\\ud108\\ud109\\ud10a\\ud10b\\ud10c\\ud10e\\ud10f\\ud110\\ud111\\ud112\\ud113\\ud114\\ud115\\ud116\\ud117\\ud118\\ud119\\ud11a\\ud11b\\ud11c\\ud11d\\ud11e\\ud11f\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud120\\ud121\\ud122\\ud123\\ud124\\ud125\\ud126\\ud127\\ud128\\ud129\\ud12a\\ud12b\\ud12c\\ud12d\\ud12e\\ud12f\\ud132\\ud133\\ud135\\ud136\\ud137\\ud139\\ud13b\\ud13c\\ud13d\\ud13e\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud13f\\ud142\\ud146\\ud147\\ud148\\ud149\\ud14a\\ud14b\\ud14e\\ud14f\\ud151\\ud152\\ud153\\ud155\\ud156\\ud157\\ud158\\ud159\\ud15a\\ud15b\\ud15e\\ud160\\ud162\\ud163\\ud164\\ud165\\ud166\\ud167\\ud169\\ud16a\\ud16b\\ud16d\\ub540\\ub541\\ub543\\ub544\\ub545\\ub54b\\ub54c\\ub54d\\ub550\\ub554\\ub55c\\ub55d\\ub55f\\ub560\\ub561\\ub5a0\\ub5a1\\ub5a4\\ub5a8\\ub5aa\\ub5ab\\ub5b0\\ub5b1\\ub5b3\\ub5b4\\ub5b5\\ub5bb\\ub5bc\\ub5bd\\ub5c0\\ub5c4\\ub5cc\\ub5cd\\ub5cf\\ub5d0\\ub5d1\\ub5d8\\ub5ec\\ub610\\ub611\\ub614\\ub618\\ub625\\ub62c\\ub634\\ub648\\ub664\\ub668\\ub69c\\ub69d\\ub6a0\\ub6a4\\ub6ab\\ub6ac\\ub6b1\\ub6d4\\ub6f0\\ub6f4\\ub6f8\\ub700\\ub701\\ub705\\ub728\\ub729\\ub72c\\ub72f\\ub730\\ub738\\ub739\\ub73b\\ub744\\ub748\\ub74c\\ub754\\ub755\\ub760\\ub764\\ub768\\ub770\\ub771\\ub773\\ub775\\ub77c\\ub77d\\ub780\\ub784\\ub78c\\ub78d\\ub78f\\ub790\\ub791\\ub792\\ub796\\ub797\\ufffd\".split(\"\"),e=0;e!=r[182].length;++e)65533!==r[182][e].charCodeAt(0)&&(n[r[182][e]]=46592+e,t[46592+e]=r[182][e]);for(r[183]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud16e\\ud16f\\ud170\\ud171\\ud172\\ud173\\ud174\\ud175\\ud176\\ud177\\ud178\\ud179\\ud17a\\ud17b\\ud17d\\ud17e\\ud17f\\ud180\\ud181\\ud182\\ud183\\ud185\\ud186\\ud187\\ud189\\ud18a\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud18b\\ud18c\\ud18d\\ud18e\\ud18f\\ud190\\ud191\\ud192\\ud193\\ud194\\ud195\\ud196\\ud197\\ud198\\ud199\\ud19a\\ud19b\\ud19c\\ud19d\\ud19e\\ud19f\\ud1a2\\ud1a3\\ud1a5\\ud1a6\\ud1a7\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud1a9\\ud1aa\\ud1ab\\ud1ac\\ud1ad\\ud1ae\\ud1af\\ud1b2\\ud1b4\\ud1b6\\ud1b7\\ud1b8\\ud1b9\\ud1bb\\ud1bd\\ud1be\\ud1bf\\ud1c1\\ud1c2\\ud1c3\\ud1c4\\ud1c5\\ud1c6\\ud1c7\\ud1c8\\ud1c9\\ud1ca\\ud1cb\\ud1cc\\ud1cd\\ud1ce\\ud1cf\\ub798\\ub799\\ub79c\\ub7a0\\ub7a8\\ub7a9\\ub7ab\\ub7ac\\ub7ad\\ub7b4\\ub7b5\\ub7b8\\ub7c7\\ub7c9\\ub7ec\\ub7ed\\ub7f0\\ub7f4\\ub7fc\\ub7fd\\ub7ff\\ub800\\ub801\\ub807\\ub808\\ub809\\ub80c\\ub810\\ub818\\ub819\\ub81b\\ub81d\\ub824\\ub825\\ub828\\ub82c\\ub834\\ub835\\ub837\\ub838\\ub839\\ub840\\ub844\\ub851\\ub853\\ub85c\\ub85d\\ub860\\ub864\\ub86c\\ub86d\\ub86f\\ub871\\ub878\\ub87c\\ub88d\\ub8a8\\ub8b0\\ub8b4\\ub8b8\\ub8c0\\ub8c1\\ub8c3\\ub8c5\\ub8cc\\ub8d0\\ub8d4\\ub8dd\\ub8df\\ub8e1\\ub8e8\\ub8e9\\ub8ec\\ub8f0\\ub8f8\\ub8f9\\ub8fb\\ub8fd\\ub904\\ub918\\ub920\\ub93c\\ub93d\\ub940\\ub944\\ub94c\\ub94f\\ub951\\ub958\\ub959\\ub95c\\ub960\\ub968\\ub969\\ufffd\".split(\"\"),e=0;e!=r[183].length;++e)65533!==r[183][e].charCodeAt(0)&&(n[r[183][e]]=46848+e,t[46848+e]=r[183][e]);for(r[184]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud1d0\\ud1d1\\ud1d2\\ud1d3\\ud1d4\\ud1d5\\ud1d6\\ud1d7\\ud1d9\\ud1da\\ud1db\\ud1dc\\ud1dd\\ud1de\\ud1df\\ud1e0\\ud1e1\\ud1e2\\ud1e3\\ud1e4\\ud1e5\\ud1e6\\ud1e7\\ud1e8\\ud1e9\\ud1ea\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud1eb\\ud1ec\\ud1ed\\ud1ee\\ud1ef\\ud1f0\\ud1f1\\ud1f2\\ud1f3\\ud1f5\\ud1f6\\ud1f7\\ud1f9\\ud1fa\\ud1fb\\ud1fc\\ud1fd\\ud1fe\\ud1ff\\ud200\\ud201\\ud202\\ud203\\ud204\\ud205\\ud206\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud208\\ud20a\\ud20b\\ud20c\\ud20d\\ud20e\\ud20f\\ud211\\ud212\\ud213\\ud214\\ud215\\ud216\\ud217\\ud218\\ud219\\ud21a\\ud21b\\ud21c\\ud21d\\ud21e\\ud21f\\ud220\\ud221\\ud222\\ud223\\ud224\\ud225\\ud226\\ud227\\ud228\\ud229\\ub96b\\ub96d\\ub974\\ub975\\ub978\\ub97c\\ub984\\ub985\\ub987\\ub989\\ub98a\\ub98d\\ub98e\\ub9ac\\ub9ad\\ub9b0\\ub9b4\\ub9bc\\ub9bd\\ub9bf\\ub9c1\\ub9c8\\ub9c9\\ub9cc\\ub9ce\\ub9cf\\ub9d0\\ub9d1\\ub9d2\\ub9d8\\ub9d9\\ub9db\\ub9dd\\ub9de\\ub9e1\\ub9e3\\ub9e4\\ub9e5\\ub9e8\\ub9ec\\ub9f4\\ub9f5\\ub9f7\\ub9f8\\ub9f9\\ub9fa\\uba00\\uba01\\uba08\\uba15\\uba38\\uba39\\uba3c\\uba40\\uba42\\uba48\\uba49\\uba4b\\uba4d\\uba4e\\uba53\\uba54\\uba55\\uba58\\uba5c\\uba64\\uba65\\uba67\\uba68\\uba69\\uba70\\uba71\\uba74\\uba78\\uba83\\uba84\\uba85\\uba87\\uba8c\\ubaa8\\ubaa9\\ubaab\\ubaac\\ubab0\\ubab2\\ubab8\\ubab9\\ubabb\\ubabd\\ubac4\\ubac8\\ubad8\\ubad9\\ubafc\\ufffd\".split(\"\"),e=0;e!=r[184].length;++e)65533!==r[184][e].charCodeAt(0)&&(n[r[184][e]]=47104+e,t[47104+e]=r[184][e]);for(r[185]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud22a\\ud22b\\ud22e\\ud22f\\ud231\\ud232\\ud233\\ud235\\ud236\\ud237\\ud238\\ud239\\ud23a\\ud23b\\ud23e\\ud240\\ud242\\ud243\\ud244\\ud245\\ud246\\ud247\\ud249\\ud24a\\ud24b\\ud24c\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud24d\\ud24e\\ud24f\\ud250\\ud251\\ud252\\ud253\\ud254\\ud255\\ud256\\ud257\\ud258\\ud259\\ud25a\\ud25b\\ud25d\\ud25e\\ud25f\\ud260\\ud261\\ud262\\ud263\\ud265\\ud266\\ud267\\ud268\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud269\\ud26a\\ud26b\\ud26c\\ud26d\\ud26e\\ud26f\\ud270\\ud271\\ud272\\ud273\\ud274\\ud275\\ud276\\ud277\\ud278\\ud279\\ud27a\\ud27b\\ud27c\\ud27d\\ud27e\\ud27f\\ud282\\ud283\\ud285\\ud286\\ud287\\ud289\\ud28a\\ud28b\\ud28c\\ubb00\\ubb04\\ubb0d\\ubb0f\\ubb11\\ubb18\\ubb1c\\ubb20\\ubb29\\ubb2b\\ubb34\\ubb35\\ubb36\\ubb38\\ubb3b\\ubb3c\\ubb3d\\ubb3e\\ubb44\\ubb45\\ubb47\\ubb49\\ubb4d\\ubb4f\\ubb50\\ubb54\\ubb58\\ubb61\\ubb63\\ubb6c\\ubb88\\ubb8c\\ubb90\\ubba4\\ubba8\\ubbac\\ubbb4\\ubbb7\\ubbc0\\ubbc4\\ubbc8\\ubbd0\\ubbd3\\ubbf8\\ubbf9\\ubbfc\\ubbff\\ubc00\\ubc02\\ubc08\\ubc09\\ubc0b\\ubc0c\\ubc0d\\ubc0f\\ubc11\\ubc14\\ubc15\\ubc16\\ubc17\\ubc18\\ubc1b\\ubc1c\\ubc1d\\ubc1e\\ubc1f\\ubc24\\ubc25\\ubc27\\ubc29\\ubc2d\\ubc30\\ubc31\\ubc34\\ubc38\\ubc40\\ubc41\\ubc43\\ubc44\\ubc45\\ubc49\\ubc4c\\ubc4d\\ubc50\\ubc5d\\ubc84\\ubc85\\ubc88\\ubc8b\\ubc8c\\ubc8e\\ubc94\\ubc95\\ubc97\\ufffd\".split(\"\"),e=0;e!=r[185].length;++e)65533!==r[185][e].charCodeAt(0)&&(n[r[185][e]]=47360+e,t[47360+e]=r[185][e]);for(r[186]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud28d\\ud28e\\ud28f\\ud292\\ud293\\ud294\\ud296\\ud297\\ud298\\ud299\\ud29a\\ud29b\\ud29d\\ud29e\\ud29f\\ud2a1\\ud2a2\\ud2a3\\ud2a5\\ud2a6\\ud2a7\\ud2a8\\ud2a9\\ud2aa\\ud2ab\\ud2ad\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud2ae\\ud2af\\ud2b0\\ud2b2\\ud2b3\\ud2b4\\ud2b5\\ud2b6\\ud2b7\\ud2ba\\ud2bb\\ud2bd\\ud2be\\ud2c1\\ud2c3\\ud2c4\\ud2c5\\ud2c6\\ud2c7\\ud2ca\\ud2cc\\ud2cd\\ud2ce\\ud2cf\\ud2d0\\ud2d1\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud2d2\\ud2d3\\ud2d5\\ud2d6\\ud2d7\\ud2d9\\ud2da\\ud2db\\ud2dd\\ud2de\\ud2df\\ud2e0\\ud2e1\\ud2e2\\ud2e3\\ud2e6\\ud2e7\\ud2e8\\ud2e9\\ud2ea\\ud2eb\\ud2ec\\ud2ed\\ud2ee\\ud2ef\\ud2f2\\ud2f3\\ud2f5\\ud2f6\\ud2f7\\ud2f9\\ud2fa\\ubc99\\ubc9a\\ubca0\\ubca1\\ubca4\\ubca7\\ubca8\\ubcb0\\ubcb1\\ubcb3\\ubcb4\\ubcb5\\ubcbc\\ubcbd\\ubcc0\\ubcc4\\ubccd\\ubccf\\ubcd0\\ubcd1\\ubcd5\\ubcd8\\ubcdc\\ubcf4\\ubcf5\\ubcf6\\ubcf8\\ubcfc\\ubd04\\ubd05\\ubd07\\ubd09\\ubd10\\ubd14\\ubd24\\ubd2c\\ubd40\\ubd48\\ubd49\\ubd4c\\ubd50\\ubd58\\ubd59\\ubd64\\ubd68\\ubd80\\ubd81\\ubd84\\ubd87\\ubd88\\ubd89\\ubd8a\\ubd90\\ubd91\\ubd93\\ubd95\\ubd99\\ubd9a\\ubd9c\\ubda4\\ubdb0\\ubdb8\\ubdd4\\ubdd5\\ubdd8\\ubddc\\ubde9\\ubdf0\\ubdf4\\ubdf8\\ube00\\ube03\\ube05\\ube0c\\ube0d\\ube10\\ube14\\ube1c\\ube1d\\ube1f\\ube44\\ube45\\ube48\\ube4c\\ube4e\\ube54\\ube55\\ube57\\ube59\\ube5a\\ube5b\\ube60\\ube61\\ube64\\ufffd\".split(\"\"),e=0;e!=r[186].length;++e)65533!==r[186][e].charCodeAt(0)&&(n[r[186][e]]=47616+e,t[47616+e]=r[186][e]);for(r[187]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud2fb\\ud2fc\\ud2fd\\ud2fe\\ud2ff\\ud302\\ud304\\ud306\\ud307\\ud308\\ud309\\ud30a\\ud30b\\ud30f\\ud311\\ud312\\ud313\\ud315\\ud317\\ud318\\ud319\\ud31a\\ud31b\\ud31e\\ud322\\ud323\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud324\\ud326\\ud327\\ud32a\\ud32b\\ud32d\\ud32e\\ud32f\\ud331\\ud332\\ud333\\ud334\\ud335\\ud336\\ud337\\ud33a\\ud33e\\ud33f\\ud340\\ud341\\ud342\\ud343\\ud346\\ud347\\ud348\\ud349\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud34a\\ud34b\\ud34c\\ud34d\\ud34e\\ud34f\\ud350\\ud351\\ud352\\ud353\\ud354\\ud355\\ud356\\ud357\\ud358\\ud359\\ud35a\\ud35b\\ud35c\\ud35d\\ud35e\\ud35f\\ud360\\ud361\\ud362\\ud363\\ud364\\ud365\\ud366\\ud367\\ud368\\ud369\\ube68\\ube6a\\ube70\\ube71\\ube73\\ube74\\ube75\\ube7b\\ube7c\\ube7d\\ube80\\ube84\\ube8c\\ube8d\\ube8f\\ube90\\ube91\\ube98\\ube99\\ubea8\\ubed0\\ubed1\\ubed4\\ubed7\\ubed8\\ubee0\\ubee3\\ubee4\\ubee5\\ubeec\\ubf01\\ubf08\\ubf09\\ubf18\\ubf19\\ubf1b\\ubf1c\\ubf1d\\ubf40\\ubf41\\ubf44\\ubf48\\ubf50\\ubf51\\ubf55\\ubf94\\ubfb0\\ubfc5\\ubfcc\\ubfcd\\ubfd0\\ubfd4\\ubfdc\\ubfdf\\ubfe1\\uc03c\\uc051\\uc058\\uc05c\\uc060\\uc068\\uc069\\uc090\\uc091\\uc094\\uc098\\uc0a0\\uc0a1\\uc0a3\\uc0a5\\uc0ac\\uc0ad\\uc0af\\uc0b0\\uc0b3\\uc0b4\\uc0b5\\uc0b6\\uc0bc\\uc0bd\\uc0bf\\uc0c0\\uc0c1\\uc0c5\\uc0c8\\uc0c9\\uc0cc\\uc0d0\\uc0d8\\uc0d9\\uc0db\\uc0dc\\uc0dd\\uc0e4\\ufffd\".split(\"\"),e=0;e!=r[187].length;++e)65533!==r[187][e].charCodeAt(0)&&(n[r[187][e]]=47872+e,t[47872+e]=r[187][e]);for(r[188]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud36a\\ud36b\\ud36c\\ud36d\\ud36e\\ud36f\\ud370\\ud371\\ud372\\ud373\\ud374\\ud375\\ud376\\ud377\\ud378\\ud379\\ud37a\\ud37b\\ud37e\\ud37f\\ud381\\ud382\\ud383\\ud385\\ud386\\ud387\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud388\\ud389\\ud38a\\ud38b\\ud38e\\ud392\\ud393\\ud394\\ud395\\ud396\\ud397\\ud39a\\ud39b\\ud39d\\ud39e\\ud39f\\ud3a1\\ud3a2\\ud3a3\\ud3a4\\ud3a5\\ud3a6\\ud3a7\\ud3aa\\ud3ac\\ud3ae\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud3af\\ud3b0\\ud3b1\\ud3b2\\ud3b3\\ud3b5\\ud3b6\\ud3b7\\ud3b9\\ud3ba\\ud3bb\\ud3bd\\ud3be\\ud3bf\\ud3c0\\ud3c1\\ud3c2\\ud3c3\\ud3c6\\ud3c7\\ud3ca\\ud3cb\\ud3cc\\ud3cd\\ud3ce\\ud3cf\\ud3d1\\ud3d2\\ud3d3\\ud3d4\\ud3d5\\ud3d6\\uc0e5\\uc0e8\\uc0ec\\uc0f4\\uc0f5\\uc0f7\\uc0f9\\uc100\\uc104\\uc108\\uc110\\uc115\\uc11c\\uc11d\\uc11e\\uc11f\\uc120\\uc123\\uc124\\uc126\\uc127\\uc12c\\uc12d\\uc12f\\uc130\\uc131\\uc136\\uc138\\uc139\\uc13c\\uc140\\uc148\\uc149\\uc14b\\uc14c\\uc14d\\uc154\\uc155\\uc158\\uc15c\\uc164\\uc165\\uc167\\uc168\\uc169\\uc170\\uc174\\uc178\\uc185\\uc18c\\uc18d\\uc18e\\uc190\\uc194\\uc196\\uc19c\\uc19d\\uc19f\\uc1a1\\uc1a5\\uc1a8\\uc1a9\\uc1ac\\uc1b0\\uc1bd\\uc1c4\\uc1c8\\uc1cc\\uc1d4\\uc1d7\\uc1d8\\uc1e0\\uc1e4\\uc1e8\\uc1f0\\uc1f1\\uc1f3\\uc1fc\\uc1fd\\uc200\\uc204\\uc20c\\uc20d\\uc20f\\uc211\\uc218\\uc219\\uc21c\\uc21f\\uc220\\uc228\\uc229\\uc22b\\uc22d\\ufffd\".split(\"\"),e=0;e!=r[188].length;++e)65533!==r[188][e].charCodeAt(0)&&(n[r[188][e]]=48128+e,t[48128+e]=r[188][e]);for(r[189]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud3d7\\ud3d9\\ud3da\\ud3db\\ud3dc\\ud3dd\\ud3de\\ud3df\\ud3e0\\ud3e2\\ud3e4\\ud3e5\\ud3e6\\ud3e7\\ud3e8\\ud3e9\\ud3ea\\ud3eb\\ud3ee\\ud3ef\\ud3f1\\ud3f2\\ud3f3\\ud3f5\\ud3f6\\ud3f7\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud3f8\\ud3f9\\ud3fa\\ud3fb\\ud3fe\\ud400\\ud402\\ud403\\ud404\\ud405\\ud406\\ud407\\ud409\\ud40a\\ud40b\\ud40c\\ud40d\\ud40e\\ud40f\\ud410\\ud411\\ud412\\ud413\\ud414\\ud415\\ud416\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud417\\ud418\\ud419\\ud41a\\ud41b\\ud41c\\ud41e\\ud41f\\ud420\\ud421\\ud422\\ud423\\ud424\\ud425\\ud426\\ud427\\ud428\\ud429\\ud42a\\ud42b\\ud42c\\ud42d\\ud42e\\ud42f\\ud430\\ud431\\ud432\\ud433\\ud434\\ud435\\ud436\\ud437\\uc22f\\uc231\\uc232\\uc234\\uc248\\uc250\\uc251\\uc254\\uc258\\uc260\\uc265\\uc26c\\uc26d\\uc270\\uc274\\uc27c\\uc27d\\uc27f\\uc281\\uc288\\uc289\\uc290\\uc298\\uc29b\\uc29d\\uc2a4\\uc2a5\\uc2a8\\uc2ac\\uc2ad\\uc2b4\\uc2b5\\uc2b7\\uc2b9\\uc2dc\\uc2dd\\uc2e0\\uc2e3\\uc2e4\\uc2eb\\uc2ec\\uc2ed\\uc2ef\\uc2f1\\uc2f6\\uc2f8\\uc2f9\\uc2fb\\uc2fc\\uc300\\uc308\\uc309\\uc30c\\uc30d\\uc313\\uc314\\uc315\\uc318\\uc31c\\uc324\\uc325\\uc328\\uc329\\uc345\\uc368\\uc369\\uc36c\\uc370\\uc372\\uc378\\uc379\\uc37c\\uc37d\\uc384\\uc388\\uc38c\\uc3c0\\uc3d8\\uc3d9\\uc3dc\\uc3df\\uc3e0\\uc3e2\\uc3e8\\uc3e9\\uc3ed\\uc3f4\\uc3f5\\uc3f8\\uc408\\uc410\\uc424\\uc42c\\uc430\\ufffd\".split(\"\"),e=0;e!=r[189].length;++e)65533!==r[189][e].charCodeAt(0)&&(n[r[189][e]]=48384+e,t[48384+e]=r[189][e]);for(r[190]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud438\\ud439\\ud43a\\ud43b\\ud43c\\ud43d\\ud43e\\ud43f\\ud441\\ud442\\ud443\\ud445\\ud446\\ud447\\ud448\\ud449\\ud44a\\ud44b\\ud44c\\ud44d\\ud44e\\ud44f\\ud450\\ud451\\ud452\\ud453\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud454\\ud455\\ud456\\ud457\\ud458\\ud459\\ud45a\\ud45b\\ud45d\\ud45e\\ud45f\\ud461\\ud462\\ud463\\ud465\\ud466\\ud467\\ud468\\ud469\\ud46a\\ud46b\\ud46c\\ud46e\\ud470\\ud471\\ud472\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud473\\ud474\\ud475\\ud476\\ud477\\ud47a\\ud47b\\ud47d\\ud47e\\ud481\\ud483\\ud484\\ud485\\ud486\\ud487\\ud48a\\ud48c\\ud48e\\ud48f\\ud490\\ud491\\ud492\\ud493\\ud495\\ud496\\ud497\\ud498\\ud499\\ud49a\\ud49b\\ud49c\\ud49d\\uc434\\uc43c\\uc43d\\uc448\\uc464\\uc465\\uc468\\uc46c\\uc474\\uc475\\uc479\\uc480\\uc494\\uc49c\\uc4b8\\uc4bc\\uc4e9\\uc4f0\\uc4f1\\uc4f4\\uc4f8\\uc4fa\\uc4ff\\uc500\\uc501\\uc50c\\uc510\\uc514\\uc51c\\uc528\\uc529\\uc52c\\uc530\\uc538\\uc539\\uc53b\\uc53d\\uc544\\uc545\\uc548\\uc549\\uc54a\\uc54c\\uc54d\\uc54e\\uc553\\uc554\\uc555\\uc557\\uc558\\uc559\\uc55d\\uc55e\\uc560\\uc561\\uc564\\uc568\\uc570\\uc571\\uc573\\uc574\\uc575\\uc57c\\uc57d\\uc580\\uc584\\uc587\\uc58c\\uc58d\\uc58f\\uc591\\uc595\\uc597\\uc598\\uc59c\\uc5a0\\uc5a9\\uc5b4\\uc5b5\\uc5b8\\uc5b9\\uc5bb\\uc5bc\\uc5bd\\uc5be\\uc5c4\\uc5c5\\uc5c6\\uc5c7\\uc5c8\\uc5c9\\uc5ca\\uc5cc\\uc5ce\\ufffd\".split(\"\"),e=0;e!=r[190].length;++e)65533!==r[190][e].charCodeAt(0)&&(n[r[190][e]]=48640+e,t[48640+e]=r[190][e]);for(r[191]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud49e\\ud49f\\ud4a0\\ud4a1\\ud4a2\\ud4a3\\ud4a4\\ud4a5\\ud4a6\\ud4a7\\ud4a8\\ud4aa\\ud4ab\\ud4ac\\ud4ad\\ud4ae\\ud4af\\ud4b0\\ud4b1\\ud4b2\\ud4b3\\ud4b4\\ud4b5\\ud4b6\\ud4b7\\ud4b8\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud4b9\\ud4ba\\ud4bb\\ud4bc\\ud4bd\\ud4be\\ud4bf\\ud4c0\\ud4c1\\ud4c2\\ud4c3\\ud4c4\\ud4c5\\ud4c6\\ud4c7\\ud4c8\\ud4c9\\ud4ca\\ud4cb\\ud4cd\\ud4ce\\ud4cf\\ud4d1\\ud4d2\\ud4d3\\ud4d5\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud4d6\\ud4d7\\ud4d8\\ud4d9\\ud4da\\ud4db\\ud4dd\\ud4de\\ud4e0\\ud4e1\\ud4e2\\ud4e3\\ud4e4\\ud4e5\\ud4e6\\ud4e7\\ud4e9\\ud4ea\\ud4eb\\ud4ed\\ud4ee\\ud4ef\\ud4f1\\ud4f2\\ud4f3\\ud4f4\\ud4f5\\ud4f6\\ud4f7\\ud4f9\\ud4fa\\ud4fc\\uc5d0\\uc5d1\\uc5d4\\uc5d8\\uc5e0\\uc5e1\\uc5e3\\uc5e5\\uc5ec\\uc5ed\\uc5ee\\uc5f0\\uc5f4\\uc5f6\\uc5f7\\uc5fc\\uc5fd\\uc5fe\\uc5ff\\uc600\\uc601\\uc605\\uc606\\uc607\\uc608\\uc60c\\uc610\\uc618\\uc619\\uc61b\\uc61c\\uc624\\uc625\\uc628\\uc62c\\uc62d\\uc62e\\uc630\\uc633\\uc634\\uc635\\uc637\\uc639\\uc63b\\uc640\\uc641\\uc644\\uc648\\uc650\\uc651\\uc653\\uc654\\uc655\\uc65c\\uc65d\\uc660\\uc66c\\uc66f\\uc671\\uc678\\uc679\\uc67c\\uc680\\uc688\\uc689\\uc68b\\uc68d\\uc694\\uc695\\uc698\\uc69c\\uc6a4\\uc6a5\\uc6a7\\uc6a9\\uc6b0\\uc6b1\\uc6b4\\uc6b8\\uc6b9\\uc6ba\\uc6c0\\uc6c1\\uc6c3\\uc6c5\\uc6cc\\uc6cd\\uc6d0\\uc6d4\\uc6dc\\uc6dd\\uc6e0\\uc6e1\\uc6e8\\ufffd\".split(\"\"),e=0;e!=r[191].length;++e)65533!==r[191][e].charCodeAt(0)&&(n[r[191][e]]=48896+e,t[48896+e]=r[191][e]);for(r[192]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud4fe\\ud4ff\\ud500\\ud501\\ud502\\ud503\\ud505\\ud506\\ud507\\ud509\\ud50a\\ud50b\\ud50d\\ud50e\\ud50f\\ud510\\ud511\\ud512\\ud513\\ud516\\ud518\\ud519\\ud51a\\ud51b\\ud51c\\ud51d\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud51e\\ud51f\\ud520\\ud521\\ud522\\ud523\\ud524\\ud525\\ud526\\ud527\\ud528\\ud529\\ud52a\\ud52b\\ud52c\\ud52d\\ud52e\\ud52f\\ud530\\ud531\\ud532\\ud533\\ud534\\ud535\\ud536\\ud537\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud538\\ud539\\ud53a\\ud53b\\ud53e\\ud53f\\ud541\\ud542\\ud543\\ud545\\ud546\\ud547\\ud548\\ud549\\ud54a\\ud54b\\ud54e\\ud550\\ud552\\ud553\\ud554\\ud555\\ud556\\ud557\\ud55a\\ud55b\\ud55d\\ud55e\\ud55f\\ud561\\ud562\\ud563\\uc6e9\\uc6ec\\uc6f0\\uc6f8\\uc6f9\\uc6fd\\uc704\\uc705\\uc708\\uc70c\\uc714\\uc715\\uc717\\uc719\\uc720\\uc721\\uc724\\uc728\\uc730\\uc731\\uc733\\uc735\\uc737\\uc73c\\uc73d\\uc740\\uc744\\uc74a\\uc74c\\uc74d\\uc74f\\uc751\\uc752\\uc753\\uc754\\uc755\\uc756\\uc757\\uc758\\uc75c\\uc760\\uc768\\uc76b\\uc774\\uc775\\uc778\\uc77c\\uc77d\\uc77e\\uc783\\uc784\\uc785\\uc787\\uc788\\uc789\\uc78a\\uc78e\\uc790\\uc791\\uc794\\uc796\\uc797\\uc798\\uc79a\\uc7a0\\uc7a1\\uc7a3\\uc7a4\\uc7a5\\uc7a6\\uc7ac\\uc7ad\\uc7b0\\uc7b4\\uc7bc\\uc7bd\\uc7bf\\uc7c0\\uc7c1\\uc7c8\\uc7c9\\uc7cc\\uc7ce\\uc7d0\\uc7d8\\uc7dd\\uc7e4\\uc7e8\\uc7ec\\uc800\\uc801\\uc804\\uc808\\uc80a\\ufffd\".split(\"\"),e=0;e!=r[192].length;++e)65533!==r[192][e].charCodeAt(0)&&(n[r[192][e]]=49152+e,t[49152+e]=r[192][e]);for(r[193]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud564\\ud566\\ud567\\ud56a\\ud56c\\ud56e\\ud56f\\ud570\\ud571\\ud572\\ud573\\ud576\\ud577\\ud579\\ud57a\\ud57b\\ud57d\\ud57e\\ud57f\\ud580\\ud581\\ud582\\ud583\\ud586\\ud58a\\ud58b\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud58c\\ud58d\\ud58e\\ud58f\\ud591\\ud592\\ud593\\ud594\\ud595\\ud596\\ud597\\ud598\\ud599\\ud59a\\ud59b\\ud59c\\ud59d\\ud59e\\ud59f\\ud5a0\\ud5a1\\ud5a2\\ud5a3\\ud5a4\\ud5a6\\ud5a7\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud5a8\\ud5a9\\ud5aa\\ud5ab\\ud5ac\\ud5ad\\ud5ae\\ud5af\\ud5b0\\ud5b1\\ud5b2\\ud5b3\\ud5b4\\ud5b5\\ud5b6\\ud5b7\\ud5b8\\ud5b9\\ud5ba\\ud5bb\\ud5bc\\ud5bd\\ud5be\\ud5bf\\ud5c0\\ud5c1\\ud5c2\\ud5c3\\ud5c4\\ud5c5\\ud5c6\\ud5c7\\uc810\\uc811\\uc813\\uc815\\uc816\\uc81c\\uc81d\\uc820\\uc824\\uc82c\\uc82d\\uc82f\\uc831\\uc838\\uc83c\\uc840\\uc848\\uc849\\uc84c\\uc84d\\uc854\\uc870\\uc871\\uc874\\uc878\\uc87a\\uc880\\uc881\\uc883\\uc885\\uc886\\uc887\\uc88b\\uc88c\\uc88d\\uc894\\uc89d\\uc89f\\uc8a1\\uc8a8\\uc8bc\\uc8bd\\uc8c4\\uc8c8\\uc8cc\\uc8d4\\uc8d5\\uc8d7\\uc8d9\\uc8e0\\uc8e1\\uc8e4\\uc8f5\\uc8fc\\uc8fd\\uc900\\uc904\\uc905\\uc906\\uc90c\\uc90d\\uc90f\\uc911\\uc918\\uc92c\\uc934\\uc950\\uc951\\uc954\\uc958\\uc960\\uc961\\uc963\\uc96c\\uc970\\uc974\\uc97c\\uc988\\uc989\\uc98c\\uc990\\uc998\\uc999\\uc99b\\uc99d\\uc9c0\\uc9c1\\uc9c4\\uc9c7\\uc9c8\\uc9ca\\uc9d0\\uc9d1\\uc9d3\\ufffd\".split(\"\"),e=0;e!=r[193].length;++e)65533!==r[193][e].charCodeAt(0)&&(n[r[193][e]]=49408+e,t[49408+e]=r[193][e]);for(r[194]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud5ca\\ud5cb\\ud5cd\\ud5ce\\ud5cf\\ud5d1\\ud5d3\\ud5d4\\ud5d5\\ud5d6\\ud5d7\\ud5da\\ud5dc\\ud5de\\ud5df\\ud5e0\\ud5e1\\ud5e2\\ud5e3\\ud5e6\\ud5e7\\ud5e9\\ud5ea\\ud5eb\\ud5ed\\ud5ee\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud5ef\\ud5f0\\ud5f1\\ud5f2\\ud5f3\\ud5f6\\ud5f8\\ud5fa\\ud5fb\\ud5fc\\ud5fd\\ud5fe\\ud5ff\\ud602\\ud603\\ud605\\ud606\\ud607\\ud609\\ud60a\\ud60b\\ud60c\\ud60d\\ud60e\\ud60f\\ud612\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud616\\ud617\\ud618\\ud619\\ud61a\\ud61b\\ud61d\\ud61e\\ud61f\\ud621\\ud622\\ud623\\ud625\\ud626\\ud627\\ud628\\ud629\\ud62a\\ud62b\\ud62c\\ud62e\\ud62f\\ud630\\ud631\\ud632\\ud633\\ud634\\ud635\\ud636\\ud637\\ud63a\\ud63b\\uc9d5\\uc9d6\\uc9d9\\uc9da\\uc9dc\\uc9dd\\uc9e0\\uc9e2\\uc9e4\\uc9e7\\uc9ec\\uc9ed\\uc9ef\\uc9f0\\uc9f1\\uc9f8\\uc9f9\\uc9fc\\uca00\\uca08\\uca09\\uca0b\\uca0c\\uca0d\\uca14\\uca18\\uca29\\uca4c\\uca4d\\uca50\\uca54\\uca5c\\uca5d\\uca5f\\uca60\\uca61\\uca68\\uca7d\\uca84\\uca98\\ucabc\\ucabd\\ucac0\\ucac4\\ucacc\\ucacd\\ucacf\\ucad1\\ucad3\\ucad8\\ucad9\\ucae0\\ucaec\\ucaf4\\ucb08\\ucb10\\ucb14\\ucb18\\ucb20\\ucb21\\ucb41\\ucb48\\ucb49\\ucb4c\\ucb50\\ucb58\\ucb59\\ucb5d\\ucb64\\ucb78\\ucb79\\ucb9c\\ucbb8\\ucbd4\\ucbe4\\ucbe7\\ucbe9\\ucc0c\\ucc0d\\ucc10\\ucc14\\ucc1c\\ucc1d\\ucc21\\ucc22\\ucc27\\ucc28\\ucc29\\ucc2c\\ucc2e\\ucc30\\ucc38\\ucc39\\ucc3b\\ufffd\".split(\"\"),e=0;e!=r[194].length;++e)65533!==r[194][e].charCodeAt(0)&&(n[r[194][e]]=49664+e,t[49664+e]=r[194][e]);for(r[195]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud63d\\ud63e\\ud63f\\ud641\\ud642\\ud643\\ud644\\ud646\\ud647\\ud64a\\ud64c\\ud64e\\ud64f\\ud650\\ud652\\ud653\\ud656\\ud657\\ud659\\ud65a\\ud65b\\ud65d\\ud65e\\ud65f\\ud660\\ud661\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud662\\ud663\\ud664\\ud665\\ud666\\ud668\\ud66a\\ud66b\\ud66c\\ud66d\\ud66e\\ud66f\\ud672\\ud673\\ud675\\ud676\\ud677\\ud678\\ud679\\ud67a\\ud67b\\ud67c\\ud67d\\ud67e\\ud67f\\ud680\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud681\\ud682\\ud684\\ud686\\ud687\\ud688\\ud689\\ud68a\\ud68b\\ud68e\\ud68f\\ud691\\ud692\\ud693\\ud695\\ud696\\ud697\\ud698\\ud699\\ud69a\\ud69b\\ud69c\\ud69e\\ud6a0\\ud6a2\\ud6a3\\ud6a4\\ud6a5\\ud6a6\\ud6a7\\ud6a9\\ud6aa\\ucc3c\\ucc3d\\ucc3e\\ucc44\\ucc45\\ucc48\\ucc4c\\ucc54\\ucc55\\ucc57\\ucc58\\ucc59\\ucc60\\ucc64\\ucc66\\ucc68\\ucc70\\ucc75\\ucc98\\ucc99\\ucc9c\\ucca0\\ucca8\\ucca9\\uccab\\uccac\\uccad\\uccb4\\uccb5\\uccb8\\uccbc\\uccc4\\uccc5\\uccc7\\uccc9\\uccd0\\uccd4\\ucce4\\uccec\\uccf0\\ucd01\\ucd08\\ucd09\\ucd0c\\ucd10\\ucd18\\ucd19\\ucd1b\\ucd1d\\ucd24\\ucd28\\ucd2c\\ucd39\\ucd5c\\ucd60\\ucd64\\ucd6c\\ucd6d\\ucd6f\\ucd71\\ucd78\\ucd88\\ucd94\\ucd95\\ucd98\\ucd9c\\ucda4\\ucda5\\ucda7\\ucda9\\ucdb0\\ucdc4\\ucdcc\\ucdd0\\ucde8\\ucdec\\ucdf0\\ucdf8\\ucdf9\\ucdfb\\ucdfd\\uce04\\uce08\\uce0c\\uce14\\uce19\\uce20\\uce21\\uce24\\uce28\\uce30\\uce31\\uce33\\uce35\\ufffd\".split(\"\"),e=0;e!=r[195].length;++e)65533!==r[195][e].charCodeAt(0)&&(n[r[195][e]]=49920+e,t[49920+e]=r[195][e]);for(r[196]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud6ab\\ud6ad\\ud6ae\\ud6af\\ud6b1\\ud6b2\\ud6b3\\ud6b4\\ud6b5\\ud6b6\\ud6b7\\ud6b8\\ud6ba\\ud6bc\\ud6bd\\ud6be\\ud6bf\\ud6c0\\ud6c1\\ud6c2\\ud6c3\\ud6c6\\ud6c7\\ud6c9\\ud6ca\\ud6cb\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud6cd\\ud6ce\\ud6cf\\ud6d0\\ud6d2\\ud6d3\\ud6d5\\ud6d6\\ud6d8\\ud6da\\ud6db\\ud6dc\\ud6dd\\ud6de\\ud6df\\ud6e1\\ud6e2\\ud6e3\\ud6e5\\ud6e6\\ud6e7\\ud6e9\\ud6ea\\ud6eb\\ud6ec\\ud6ed\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud6ee\\ud6ef\\ud6f1\\ud6f2\\ud6f3\\ud6f4\\ud6f6\\ud6f7\\ud6f8\\ud6f9\\ud6fa\\ud6fb\\ud6fe\\ud6ff\\ud701\\ud702\\ud703\\ud705\\ud706\\ud707\\ud708\\ud709\\ud70a\\ud70b\\ud70c\\ud70d\\ud70e\\ud70f\\ud710\\ud712\\ud713\\ud714\\uce58\\uce59\\uce5c\\uce5f\\uce60\\uce61\\uce68\\uce69\\uce6b\\uce6d\\uce74\\uce75\\uce78\\uce7c\\uce84\\uce85\\uce87\\uce89\\uce90\\uce91\\uce94\\uce98\\ucea0\\ucea1\\ucea3\\ucea4\\ucea5\\uceac\\ucead\\ucec1\\ucee4\\ucee5\\ucee8\\uceeb\\uceec\\ucef4\\ucef5\\ucef7\\ucef8\\ucef9\\ucf00\\ucf01\\ucf04\\ucf08\\ucf10\\ucf11\\ucf13\\ucf15\\ucf1c\\ucf20\\ucf24\\ucf2c\\ucf2d\\ucf2f\\ucf30\\ucf31\\ucf38\\ucf54\\ucf55\\ucf58\\ucf5c\\ucf64\\ucf65\\ucf67\\ucf69\\ucf70\\ucf71\\ucf74\\ucf78\\ucf80\\ucf85\\ucf8c\\ucfa1\\ucfa8\\ucfb0\\ucfc4\\ucfe0\\ucfe1\\ucfe4\\ucfe8\\ucff0\\ucff1\\ucff3\\ucff5\\ucffc\\ud000\\ud004\\ud011\\ud018\\ud02d\\ud034\\ud035\\ud038\\ud03c\\ufffd\".split(\"\"),e=0;e!=r[196].length;++e)65533!==r[196][e].charCodeAt(0)&&(n[r[196][e]]=50176+e,t[50176+e]=r[196][e]);for(r[197]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud715\\ud716\\ud717\\ud71a\\ud71b\\ud71d\\ud71e\\ud71f\\ud721\\ud722\\ud723\\ud724\\ud725\\ud726\\ud727\\ud72a\\ud72c\\ud72e\\ud72f\\ud730\\ud731\\ud732\\ud733\\ud736\\ud737\\ud739\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud73a\\ud73b\\ud73d\\ud73e\\ud73f\\ud740\\ud741\\ud742\\ud743\\ud745\\ud746\\ud748\\ud74a\\ud74b\\ud74c\\ud74d\\ud74e\\ud74f\\ud752\\ud753\\ud755\\ud75a\\ud75b\\ud75c\\ud75d\\ud75e\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud75f\\ud762\\ud764\\ud766\\ud767\\ud768\\ud76a\\ud76b\\ud76d\\ud76e\\ud76f\\ud771\\ud772\\ud773\\ud775\\ud776\\ud777\\ud778\\ud779\\ud77a\\ud77b\\ud77e\\ud77f\\ud780\\ud782\\ud783\\ud784\\ud785\\ud786\\ud787\\ud78a\\ud78b\\ud044\\ud045\\ud047\\ud049\\ud050\\ud054\\ud058\\ud060\\ud06c\\ud06d\\ud070\\ud074\\ud07c\\ud07d\\ud081\\ud0a4\\ud0a5\\ud0a8\\ud0ac\\ud0b4\\ud0b5\\ud0b7\\ud0b9\\ud0c0\\ud0c1\\ud0c4\\ud0c8\\ud0c9\\ud0d0\\ud0d1\\ud0d3\\ud0d4\\ud0d5\\ud0dc\\ud0dd\\ud0e0\\ud0e4\\ud0ec\\ud0ed\\ud0ef\\ud0f0\\ud0f1\\ud0f8\\ud10d\\ud130\\ud131\\ud134\\ud138\\ud13a\\ud140\\ud141\\ud143\\ud144\\ud145\\ud14c\\ud14d\\ud150\\ud154\\ud15c\\ud15d\\ud15f\\ud161\\ud168\\ud16c\\ud17c\\ud184\\ud188\\ud1a0\\ud1a1\\ud1a4\\ud1a8\\ud1b0\\ud1b1\\ud1b3\\ud1b5\\ud1ba\\ud1bc\\ud1c0\\ud1d8\\ud1f4\\ud1f8\\ud207\\ud209\\ud210\\ud22c\\ud22d\\ud230\\ud234\\ud23c\\ud23d\\ud23f\\ud241\\ud248\\ud25c\\ufffd\".split(\"\"),e=0;e!=r[197].length;++e)65533!==r[197][e].charCodeAt(0)&&(n[r[197][e]]=50432+e,t[50432+e]=r[197][e]);for(r[198]=\"\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud78d\\ud78e\\ud78f\\ud791\\ud792\\ud793\\ud794\\ud795\\ud796\\ud797\\ud79a\\ud79c\\ud79e\\ud79f\\ud7a0\\ud7a1\\ud7a2\\ud7a3\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ud264\\ud280\\ud281\\ud284\\ud288\\ud290\\ud291\\ud295\\ud29c\\ud2a0\\ud2a4\\ud2ac\\ud2b1\\ud2b8\\ud2b9\\ud2bc\\ud2bf\\ud2c0\\ud2c2\\ud2c8\\ud2c9\\ud2cb\\ud2d4\\ud2d8\\ud2dc\\ud2e4\\ud2e5\\ud2f0\\ud2f1\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!\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\ufffd\\u201a\\ufffd\\u201e\\u2026\\u2020\\u2021\\ufffd\\u2030\\u0160\\u2039\\u015a\\u0164\\u017d\\u0179\\ufffd\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\ufffd\\u2122\\u0161\\u203a\\u015b\\u0165\\u017e\\u017a\\xa0\\u02c7\\u02d8\\u0141\\xa4\\u0104\\xa6\\xa7\\xa8\\xa9\\u015e\\xab\\xac\\xad\\xae\\u017b\\xb0\\xb1\\u02db\\u0142\\xb4\\xb5\\xb6\\xb7\\xb8\\u0105\\u015f\\xbb\\u013d\\u02dd\\u013e\\u017c\\u0154\\xc1\\xc2\\u0102\\xc4\\u0139\\u0106\\xc7\\u010c\\xc9\\u0118\\xcb\\u011a\\xcd\\xce\\u010e\\u0110\\u0143\\u0147\\xd3\\xd4\\u0150\\xd6\\xd7\\u0158\\u016e\\xda\\u0170\\xdc\\xdd\\u0162\\xdf\\u0155\\xe1\\xe2\\u0103\\xe4\\u013a\\u0107\\xe7\\u010d\\xe9\\u0119\\xeb\\u011b\\xed\\xee\\u010f\\u0111\\u0144\\u0148\\xf3\\xf4\\u0151\\xf6\\xf7\\u0159\\u016f\\xfa\\u0171\\xfc\\xfd\\u0163\\u02d9\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1251]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u0402\\u0403\\u201a\\u0453\\u201e\\u2026\\u2020\\u2021\\u20ac\\u2030\\u0409\\u2039\\u040a\\u040c\\u040b\\u040f\\u0452\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\ufffd\\u2122\\u0459\\u203a\\u045a\\u045c\\u045b\\u045f\\xa0\\u040e\\u045e\\u0408\\xa4\\u0490\\xa6\\xa7\\u0401\\xa9\\u0404\\xab\\xac\\xad\\xae\\u0407\\xb0\\xb1\\u0406\\u0456\\u0491\\xb5\\xb6\\xb7\\u0451\\u2116\\u0454\\xbb\\u0458\\u0405\\u0455\\u0457\\u0410\\u0411\\u0412\\u0413\\u0414\\u0415\\u0416\\u0417\\u0418\\u0419\\u041a\\u041b\\u041c\\u041d\\u041e\\u041f\\u0420\\u0421\\u0422\\u0423\\u0424\\u0425\\u0426\\u0427\\u0428\\u0429\\u042a\\u042b\\u042c\\u042d\\u042e\\u042f\\u0430\\u0431\\u0432\\u0433\\u0434\\u0435\\u0436\\u0437\\u0438\\u0439\\u043a\\u043b\\u043c\\u043d\\u043e\\u043f\\u0440\\u0441\\u0442\\u0443\\u0444\\u0445\\u0446\\u0447\\u0448\\u0449\\u044a\\u044b\\u044c\\u044d\\u044e\\u044f\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1252]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\ufffd\\u201a\\u0192\\u201e\\u2026\\u2020\\u2021\\u02c6\\u2030\\u0160\\u2039\\u0152\\ufffd\\u017d\\ufffd\\ufffd\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\u02dc\\u2122\\u0161\\u203a\\u0153\\ufffd\\u017e\\u0178\\xa0\\xa1\\xa2\\xa3\\xa4\\xa5\\xa6\\xa7\\xa8\\xa9\\xaa\\xab\\xac\\xad\\xae\\xaf\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7\\xb8\\xb9\\xba\\xbb\\xbc\\xbd\\xbe\\xbf\\xc0\\xc1\\xc2\\xc3\\xc4\\xc5\\xc6\\xc7\\xc8\\xc9\\xca\\xcb\\xcc\\xcd\\xce\\xcf\\xd0\\xd1\\xd2\\xd3\\xd4\\xd5\\xd6\\xd7\\xd8\\xd9\\xda\\xdb\\xdc\\xdd\\xde\\xdf\\xe0\\xe1\\xe2\\xe3\\xe4\\xe5\\xe6\\xe7\\xe8\\xe9\\xea\\xeb\\xec\\xed\\xee\\xef\\xf0\\xf1\\xf2\\xf3\\xf4\\xf5\\xf6\\xf7\\xf8\\xf9\\xfa\\xfb\\xfc\\xfd\\xfe\\xff\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1253]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\ufffd\\u201a\\u0192\\u201e\\u2026\\u2020\\u2021\\ufffd\\u2030\\ufffd\\u2039\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\ufffd\\u2122\\ufffd\\u203a\\ufffd\\ufffd\\ufffd\\ufffd\\xa0\\u0385\\u0386\\xa3\\xa4\\xa5\\xa6\\xa7\\xa8\\xa9\\ufffd\\xab\\xac\\xad\\xae\\u2015\\xb0\\xb1\\xb2\\xb3\\u0384\\xb5\\xb6\\xb7\\u0388\\u0389\\u038a\\xbb\\u038c\\xbd\\u038e\\u038f\\u0390\\u0391\\u0392\\u0393\\u0394\\u0395\\u0396\\u0397\\u0398\\u0399\\u039a\\u039b\\u039c\\u039d\\u039e\\u039f\\u03a0\\u03a1\\ufffd\\u03a3\\u03a4\\u03a5\\u03a6\\u03a7\\u03a8\\u03a9\\u03aa\\u03ab\\u03ac\\u03ad\\u03ae\\u03af\\u03b0\\u03b1\\u03b2\\u03b3\\u03b4\\u03b5\\u03b6\\u03b7\\u03b8\\u03b9\\u03ba\\u03bb\\u03bc\\u03bd\\u03be\\u03bf\\u03c0\\u03c1\\u03c2\\u03c3\\u03c4\\u03c5\\u03c6\\u03c7\\u03c8\\u03c9\\u03ca\\u03cb\\u03cc\\u03cd\\u03ce\\ufffd\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1254]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\ufffd\\u201a\\u0192\\u201e\\u2026\\u2020\\u2021\\u02c6\\u2030\\u0160\\u2039\\u0152\\ufffd\\ufffd\\ufffd\\ufffd\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\u02dc\\u2122\\u0161\\u203a\\u0153\\ufffd\\ufffd\\u0178\\xa0\\xa1\\xa2\\xa3\\xa4\\xa5\\xa6\\xa7\\xa8\\xa9\\xaa\\xab\\xac\\xad\\xae\\xaf\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7\\xb8\\xb9\\xba\\xbb\\xbc\\xbd\\xbe\\xbf\\xc0\\xc1\\xc2\\xc3\\xc4\\xc5\\xc6\\xc7\\xc8\\xc9\\xca\\xcb\\xcc\\xcd\\xce\\xcf\\u011e\\xd1\\xd2\\xd3\\xd4\\xd5\\xd6\\xd7\\xd8\\xd9\\xda\\xdb\\xdc\\u0130\\u015e\\xdf\\xe0\\xe1\\xe2\\xe3\\xe4\\xe5\\xe6\\xe7\\xe8\\xe9\\xea\\xeb\\xec\\xed\\xee\\xef\\u011f\\xf1\\xf2\\xf3\\xf4\\xf5\\xf6\\xf7\\xf8\\xf9\\xfa\\xfb\\xfc\\u0131\\u015f\\xff\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1255]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\ufffd\\u201a\\u0192\\u201e\\u2026\\u2020\\u2021\\u02c6\\u2030\\ufffd\\u2039\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\u02dc\\u2122\\ufffd\\u203a\\ufffd\\ufffd\\ufffd\\ufffd\\xa0\\xa1\\xa2\\xa3\\u20aa\\xa5\\xa6\\xa7\\xa8\\xa9\\xd7\\xab\\xac\\xad\\xae\\xaf\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7\\xb8\\xb9\\xf7\\xbb\\xbc\\xbd\\xbe\\xbf\\u05b0\\u05b1\\u05b2\\u05b3\\u05b4\\u05b5\\u05b6\\u05b7\\u05b8\\u05b9\\ufffd\\u05bb\\u05bc\\u05bd\\u05be\\u05bf\\u05c0\\u05c1\\u05c2\\u05c3\\u05f0\\u05f1\\u05f2\\u05f3\\u05f4\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\ufffd\\u05d0\\u05d1\\u05d2\\u05d3\\u05d4\\u05d5\\u05d6\\u05d7\\u05d8\\u05d9\\u05da\\u05db\\u05dc\\u05dd\\u05de\\u05df\\u05e0\\u05e1\\u05e2\\u05e3\\u05e4\\u05e5\\u05e6\\u05e7\\u05e8\\u05e9\\u05ea\\ufffd\\ufffd\\u200e\\u200f\\ufffd\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1256]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\u067e\\u201a\\u0192\\u201e\\u2026\\u2020\\u2021\\u02c6\\u2030\\u0679\\u2039\\u0152\\u0686\\u0698\\u0688\\u06af\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\u06a9\\u2122\\u0691\\u203a\\u0153\\u200c\\u200d\\u06ba\\xa0\\u060c\\xa2\\xa3\\xa4\\xa5\\xa6\\xa7\\xa8\\xa9\\u06be\\xab\\xac\\xad\\xae\\xaf\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7\\xb8\\xb9\\u061b\\xbb\\xbc\\xbd\\xbe\\u061f\\u06c1\\u0621\\u0622\\u0623\\u0624\\u0625\\u0626\\u0627\\u0628\\u0629\\u062a\\u062b\\u062c\\u062d\\u062e\\u062f\\u0630\\u0631\\u0632\\u0633\\u0634\\u0635\\u0636\\xd7\\u0637\\u0638\\u0639\\u063a\\u0640\\u0641\\u0642\\u0643\\xe0\\u0644\\xe2\\u0645\\u0646\\u0647\\u0648\\xe7\\xe8\\xe9\\xea\\xeb\\u0649\\u064a\\xee\\xef\\u064b\\u064c\\u064d\\u064e\\xf4\\u064f\\u0650\\xf7\\u0651\\xf9\\u0652\\xfb\\xfc\\u200e\\u200f\\u06d2\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1257]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\ufffd\\u201a\\ufffd\\u201e\\u2026\\u2020\\u2021\\ufffd\\u2030\\ufffd\\u2039\\ufffd\\xa8\\u02c7\\xb8\\ufffd\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\ufffd\\u2122\\ufffd\\u203a\\ufffd\\xaf\\u02db\\ufffd\\xa0\\ufffd\\xa2\\xa3\\xa4\\ufffd\\xa6\\xa7\\xd8\\xa9\\u0156\\xab\\xac\\xad\\xae\\xc6\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7\\xf8\\xb9\\u0157\\xbb\\xbc\\xbd\\xbe\\xe6\\u0104\\u012e\\u0100\\u0106\\xc4\\xc5\\u0118\\u0112\\u010c\\xc9\\u0179\\u0116\\u0122\\u0136\\u012a\\u013b\\u0160\\u0143\\u0145\\xd3\\u014c\\xd5\\xd6\\xd7\\u0172\\u0141\\u015a\\u016a\\xdc\\u017b\\u017d\\xdf\\u0105\\u012f\\u0101\\u0107\\xe4\\xe5\\u0119\\u0113\\u010d\\xe9\\u017a\\u0117\\u0123\\u0137\\u012b\\u013c\\u0161\\u0144\\u0146\\xf3\\u014d\\xf5\\xf6\\xf7\\u0173\\u0142\\u015b\\u016b\\xfc\\u017c\\u017e\\u02d9\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1258]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u20ac\\ufffd\\u201a\\u0192\\u201e\\u2026\\u2020\\u2021\\u02c6\\u2030\\ufffd\\u2039\\u0152\\ufffd\\ufffd\\ufffd\\ufffd\\u2018\\u2019\\u201c\\u201d\\u2022\\u2013\\u2014\\u02dc\\u2122\\ufffd\\u203a\\u0153\\ufffd\\ufffd\\u0178\\xa0\\xa1\\xa2\\xa3\\xa4\\xa5\\xa6\\xa7\\xa8\\xa9\\xaa\\xab\\xac\\xad\\xae\\xaf\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7\\xb8\\xb9\\xba\\xbb\\xbc\\xbd\\xbe\\xbf\\xc0\\xc1\\xc2\\u0102\\xc4\\xc5\\xc6\\xc7\\xc8\\xc9\\xca\\xcb\\u0300\\xcd\\xce\\xcf\\u0110\\xd1\\u0309\\xd3\\xd4\\u01a0\\xd6\\xd7\\xd8\\xd9\\xda\\xdb\\xdc\\u01af\\u0303\\xdf\\xe0\\xe1\\xe2\\u0103\\xe4\\xe5\\xe6\\xe7\\xe8\\xe9\\xea\\xeb\\u0301\\xed\\xee\\xef\\u0111\\xf1\\u0323\\xf3\\xf4\\u01a1\\xf6\\xf7\\xf8\\xf9\\xfa\\xfb\\xfc\\u01b0\\u20ab\\xff\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[1e4]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\xc4\\xc5\\xc7\\xc9\\xd1\\xd6\\xdc\\xe1\\xe0\\xe2\\xe4\\xe3\\xe5\\xe7\\xe9\\xe8\\xea\\xeb\\xed\\xec\\xee\\xef\\xf1\\xf3\\xf2\\xf4\\xf6\\xf5\\xfa\\xf9\\xfb\\xfc\\u2020\\xb0\\xa2\\xa3\\xa7\\u2022\\xb6\\xdf\\xae\\xa9\\u2122\\xb4\\xa8\\u2260\\xc6\\xd8\\u221e\\xb1\\u2264\\u2265\\xa5\\xb5\\u2202\\u2211\\u220f\\u03c0\\u222b\\xaa\\xba\\u2126\\xe6\\xf8\\xbf\\xa1\\xac\\u221a\\u0192\\u2248\\u2206\\xab\\xbb\\u2026\\xa0\\xc0\\xc3\\xd5\\u0152\\u0153\\u2013\\u2014\\u201c\\u201d\\u2018\\u2019\\xf7\\u25ca\\xff\\u0178\\u2044\\xa4\\u2039\\u203a\\ufb01\\ufb02\\u2021\\xb7\\u201a\\u201e\\u2030\\xc2\\xca\\xc1\\xcb\\xc8\\xcd\\xce\\xcf\\xcc\\xd3\\xd4\\ufffd\\xd2\\xda\\xdb\\xd9\\u0131\\u02c6\\u02dc\\xaf\\u02d8\\u02d9\\u02da\\xb8\\u02dd\\u02db\\u02c7\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[10006]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\xc4\\xb9\\xb2\\xc9\\xb3\\xd6\\xdc\\u0385\\xe0\\xe2\\xe4\\u0384\\xa8\\xe7\\xe9\\xe8\\xea\\xeb\\xa3\\u2122\\xee\\xef\\u2022\\xbd\\u2030\\xf4\\xf6\\xa6\\xad\\xf9\\xfb\\xfc\\u2020\\u0393\\u0394\\u0398\\u039b\\u039e\\u03a0\\xdf\\xae\\xa9\\u03a3\\u03aa\\xa7\\u2260\\xb0\\u0387\\u0391\\xb1\\u2264\\u2265\\xa5\\u0392\\u0395\\u0396\\u0397\\u0399\\u039a\\u039c\\u03a6\\u03ab\\u03a8\\u03a9\\u03ac\\u039d\\xac\\u039f\\u03a1\\u2248\\u03a4\\xab\\xbb\\u2026\\xa0\\u03a5\\u03a7\\u0386\\u0388\\u0153\\u2013\\u2015\\u201c\\u201d\\u2018\\u2019\\xf7\\u0389\\u038a\\u038c\\u038e\\u03ad\\u03ae\\u03af\\u03cc\\u038f\\u03cd\\u03b1\\u03b2\\u03c8\\u03b4\\u03b5\\u03c6\\u03b3\\u03b7\\u03b9\\u03be\\u03ba\\u03bb\\u03bc\\u03bd\\u03bf\\u03c0\\u03ce\\u03c1\\u03c3\\u03c4\\u03b8\\u03c9\\u03c2\\u03c7\\u03c5\\u03b6\\u03ca\\u03cb\\u0390\\u03b0\\ufffd\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[10007]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\u0410\\u0411\\u0412\\u0413\\u0414\\u0415\\u0416\\u0417\\u0418\\u0419\\u041a\\u041b\\u041c\\u041d\\u041e\\u041f\\u0420\\u0421\\u0422\\u0423\\u0424\\u0425\\u0426\\u0427\\u0428\\u0429\\u042a\\u042b\\u042c\\u042d\\u042e\\u042f\\u2020\\xb0\\xa2\\xa3\\xa7\\u2022\\xb6\\u0406\\xae\\xa9\\u2122\\u0402\\u0452\\u2260\\u0403\\u0453\\u221e\\xb1\\u2264\\u2265\\u0456\\xb5\\u2202\\u0408\\u0404\\u0454\\u0407\\u0457\\u0409\\u0459\\u040a\\u045a\\u0458\\u0405\\xac\\u221a\\u0192\\u2248\\u2206\\xab\\xbb\\u2026\\xa0\\u040b\\u045b\\u040c\\u045c\\u0455\\u2013\\u2014\\u201c\\u201d\\u2018\\u2019\\xf7\\u201e\\u040e\\u045e\\u040f\\u045f\\u2116\\u0401\\u0451\\u044f\\u0430\\u0431\\u0432\\u0433\\u0434\\u0435\\u0436\\u0437\\u0438\\u0439\\u043a\\u043b\\u043c\\u043d\\u043e\\u043f\\u0440\\u0441\\u0442\\u0443\\u0444\\u0445\\u0446\\u0447\\u0448\\u0449\\u044a\\u044b\\u044c\\u044d\\u044e\\xa4\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[10008]=function(){var 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!\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\xc4\\u0100\\u0101\\xc9\\u0104\\xd6\\xdc\\xe1\\u0105\\u010c\\xe4\\u010d\\u0106\\u0107\\xe9\\u0179\\u017a\\u010e\\xed\\u010f\\u0112\\u0113\\u0116\\xf3\\u0117\\xf4\\xf6\\xf5\\xfa\\u011a\\u011b\\xfc\\u2020\\xb0\\u0118\\xa3\\xa7\\u2022\\xb6\\xdf\\xae\\xa9\\u2122\\u0119\\xa8\\u2260\\u0123\\u012e\\u012f\\u012a\\u2264\\u2265\\u012b\\u0136\\u2202\\u2211\\u0142\\u013b\\u013c\\u013d\\u013e\\u0139\\u013a\\u0145\\u0146\\u0143\\xac\\u221a\\u0144\\u0147\\u2206\\xab\\xbb\\u2026\\xa0\\u0148\\u0150\\xd5\\u0151\\u014c\\u2013\\u2014\\u201c\\u201d\\u2018\\u2019\\xf7\\u25ca\\u014d\\u0154\\u0155\\u0158\\u2039\\u203a\\u0159\\u0156\\u0157\\u0160\\u201a\\u201e\\u0161\\u015a\\u015b\\xc1\\u0164\\u0165\\xcd\\u017d\\u017e\\u016a\\xd3\\xd4\\u016b\\u016e\\xda\\u016f\\u0170\\u0171\\u0172\\u0173\\xdd\\xfd\\u0137\\u017b\\u0141\\u017c\\u0122\\u02c7\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[10079]=function(){for(var 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!\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\xc4\\xc5\\xc7\\xc9\\xd1\\xd6\\xdc\\xe1\\xe0\\xe2\\xe4\\xe3\\xe5\\xe7\\xe9\\xe8\\xea\\xeb\\xed\\xec\\xee\\xef\\xf1\\xf3\\xf2\\xf4\\xf6\\xf5\\xfa\\xf9\\xfb\\xfc\\xdd\\xb0\\xa2\\xa3\\xa7\\u2022\\xb6\\xdf\\xae\\xa9\\u2122\\xb4\\xa8\\u2260\\xc6\\xd8\\u221e\\xb1\\u2264\\u2265\\xa5\\xb5\\u2202\\u2211\\u220f\\u03c0\\u222b\\xaa\\xba\\u2126\\xe6\\xf8\\xbf\\xa1\\xac\\u221a\\u0192\\u2248\\u2206\\xab\\xbb\\u2026\\xa0\\xc0\\xc3\\xd5\\u0152\\u0153\\u2013\\u2014\\u201c\\u201d\\u2018\\u2019\\xf7\\u25ca\\xff\\u0178\\u2044\\xa4\\xd0\\xf0\\xde\\xfe\\xfd\\xb7\\u201a\\u201e\\u2030\\xc2\\xca\\xc1\\xcb\\xc8\\xcd\\xce\\xcf\\xcc\\xd3\\xd4\\ufffd\\xd2\\xda\\xdb\\xd9\\u0131\\u02c6\\u02dc\\xaf\\u02d8\\u02d9\\u02da\\xb8\\u02dd\\u02db\\u02c7\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),r[10081]=function(){for(var e=\"\\0\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\b\\t\\n\\v\\f\\r\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a\\x1b\\x1c\\x1d\\x1e\\x1f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f\\xc4\\xc5\\xc7\\xc9\\xd1\\xd6\\xdc\\xe1\\xe0\\xe2\\xe4\\xe3\\xe5\\xe7\\xe9\\xe8\\xea\\xeb\\xed\\xec\\xee\\xef\\xf1\\xf3\\xf2\\xf4\\xf6\\xf5\\xfa\\xf9\\xfb\\xfc\\u2020\\xb0\\xa2\\xa3\\xa7\\u2022\\xb6\\xdf\\xae\\xa9\\u2122\\xb4\\xa8\\u2260\\xc6\\xd8\\u221e\\xb1\\u2264\\u2265\\xa5\\xb5\\u2202\\u2211\\u220f\\u03c0\\u222b\\xaa\\xba\\u2126\\xe6\\xf8\\xbf\\xa1\\xac\\u221a\\u0192\\u2248\\u2206\\xab\\xbb\\u2026\\xa0\\xc0\\xc3\\xd5\\u0152\\u0153\\u2013\\u2014\\u201c\\u201d\\u2018\\u2019\\xf7\\u25ca\\xff\\u0178\\u011e\\u011f\\u0130\\u0131\\u015e\\u015f\\u2021\\xb7\\u201a\\u201e\\u2030\\xc2\\xca\\xc1\\xcb\\xc8\\xcd\\xce\\xcf\\xcc\\xd3\\xd4\\ufffd\\xd2\\xda\\xdb\\xd9\\ufffd\\u02c6\\u02dc\\xaf\\u02d8\\u02d9\\u02da\\xb8\\u02dd\\u02db\\u02c7\",t=[],n={},r=0;r!=e.length;++r)65533!==e.charCodeAt(r)&&(n[e.charAt(r)]=r),t[r]=e.charAt(r);return{enc:n,dec:t}}(),e.exports&&\"undefined\"==typeof DO_NOT_EXPORT_CODEPAGE&&(e.exports=r),function(t,n){\"use strict\";if(void 0===r){var i=r;e.exports&&\"undefined\"==typeof DO_NOT_EXPORT_CODEPAGE?e.exports=n(i):t.cptable=n(i)}else r=n(r)}(this,(function(e){\"use strict\";var t={1200:\"utf16le\",1201:\"utf16be\",12e3:\"utf32le\",12001:\"utf32be\",16969:\"utf64le\",20127:\"ascii\",65e3:\"utf7\",65001:\"utf8\"},n=[874,1250,1251,1252,1253,1254,1255,1256,1e4],r=[932,936,949,950],i=[65001],s={},o={},a={},c={},l=function(e){return String.fromCharCode(e)},h=function(e){return e.charCodeAt(0)},d=\"undefined\"!=typeof Buffer,u=function(){};if(d){var f=!Buffer.from;if(!f)try{Buffer.from(\"foo\",\"utf8\")}catch(k){f=!0}u=f?function(e,t){return t?new Buffer(e,t):new Buffer(e)}:Buffer.from.bind(Buffer),Buffer.allocUnsafe||(Buffer.allocUnsafe=function(e){return new Buffer(e)});var g=1024,p=Buffer.allocUnsafe(g),m=function(t){var n=function(e){for(var t=Buffer.allocUnsafe(65536),n=0;n<65536;++n)t[n]=0;for(var r=Object.keys(e),i=r.length,s=0,o=r[s];s<i;++s)(o=r[s])&&(t[o.charCodeAt(0)]=e[o]);return t}(e[t].enc);return function(e,t){var r,i=e.length,s=0,o=0,a=0,c=0;if(\"string\"==typeof e)for(r=Buffer.allocUnsafe(i),s=0;s<i;++s)r[s]=n[e.charCodeAt(s)];else if(Buffer.isBuffer(e)){for(r=Buffer.allocUnsafe(2*i),o=0,s=0;s<i;++s)(a=e[s])<128?r[o++]=n[a]:a<224?(r[o++]=n[((31&a)<<6)+(63&e[s+1])],++s):a<240?(r[o++]=n[((15&a)<<12)+((63&e[s+1])<<6)+(63&e[s+2])],s+=2):(c=((7&a)<<18)+((63&e[s+1])<<12)+((63&e[s+2])<<6)+(63&e[s+3]),s+=3,c<65536?r[o++]=n[c]:(r[o++]=n[55296+((c-=65536)>>10&1023)],r[o++]=n[56320+(1023&c)]));r=r.slice(0,o)}else for(r=Buffer.allocUnsafe(i),s=0;s<i;++s)r[s]=n[e[s].charCodeAt(0)];return t&&\"buf\"!==t?\"arr\"!==t?r.toString(\"binary\"):[].slice.call(r):r}},C=function(t){var n=e[t].dec,r=Buffer.allocUnsafe(131072),i=0,s=\"\";for(i=0;i<n.length;++i)if(s=n[i]){var o=s.charCodeAt(0);r[2*i]=255&o,r[2*i+1]=o>>8}return function(e){var t=e.length,n=0,i=0;if(2*t>g&&(g=2*t,p=Buffer.allocUnsafe(g)),Buffer.isBuffer(e))for(n=0;n<t;n++)p[2*n]=r[i=2*e[n]],p[2*n+1]=r[i+1];else if(\"string\"==typeof e)for(n=0;n<t;n++)i=2*e.charCodeAt(n),p[2*n]=r[i],p[2*n+1]=r[i+1];else for(n=0;n<t;n++)p[2*n]=r[i=2*e[n]],p[2*n+1]=r[i+1];return p.slice(0,2*t).toString(\"ucs2\")}},b=function(t){for(var n=e[t].enc,r=Buffer.allocUnsafe(131072),i=0;i<131072;++i)r[i]=0;for(var s=Object.keys(n),o=0,a=s[o];o<s.length;++o)if(a=s[o]){var c=a.charCodeAt(0);r[2*c]=255&n[a],r[2*c+1]=n[a]>>8}return function(e,t){var n=e.length,i=Buffer.allocUnsafe(2*n),s=0,o=0,a=0,c=0,l=0;if(\"string\"==typeof e){for(s=c=0;s<n;++s)o=2*e.charCodeAt(s),i[c++]=r[o+1]||r[o],r[o+1]>0&&(i[c++]=r[o]);i=i.slice(0,c)}else if(Buffer.isBuffer(e)){for(s=c=0;s<n;++s)(l=e[s])<128?o=l:l<224?(o=((31&l)<<6)+(63&e[s+1]),++s):l<240?(o=((15&l)<<12)+((63&e[s+1])<<6)+(63&e[s+2]),s+=2):(o=((7&l)<<18)+((63&e[s+1])<<12)+((63&e[s+2])<<6)+(63&e[s+3]),s+=3),o<65536?(i[c++]=r[1+(o*=2)]||r[o],r[o+1]>0&&(i[c++]=r[o])):(i[c++]=r[1+(o=2*(55296+((a=o-65536)>>10&1023)))]||r[o],r[o+1]>0&&(i[c++]=r[o]),i[c++]=r[1+(o=2*(56320+(1023&a)))]||r[o],r[o+1]>0&&(i[c++]=r[o]));i=i.slice(0,c)}else for(s=c=0;s<n;s++)o=2*e[s].charCodeAt(0),i[c++]=r[o+1]||r[o],r[o+1]>0&&(i[c++]=r[o]);return t&&\"buf\"!==t?\"arr\"!==t?i.toString(\"binary\"):[].slice.call(i):i}},v=function(t){var n,r=e[t].dec,i=Buffer.allocUnsafe(131072),s=0,o=0,a=0,c=0;for(c=0;c<65536;++c)i[2*c]=255,i[2*c+1]=253;for(s=0;s<r.length;++s)(n=r[s])&&(o=n.charCodeAt(0),i[a=2*s]=255&o,i[a+1]=o>>8);return function(e){var t=e.length,n=Buffer.allocUnsafe(2*t),r=0,s=0,o=0;if(Buffer.isBuffer(e))for(r=0;r<t;r++)255===i[s=2*e[r]]&&253===i[s+1]&&(s=2*((e[r]<<8)+e[r+1]),++r),n[o++]=i[s],n[o++]=i[s+1];else if(\"string\"==typeof e)for(r=0;r<t;r++)s=2*e.charCodeAt(r),255===i[s]&&253===i[s+1]&&(s=2*((e.charCodeAt(r)<<8)+e.charCodeAt(r+1)),++r),n[o++]=i[s],n[o++]=i[s+1];else for(r=0;r<t;r++)255===i[s=2*e[r]]&&253===i[s+1]&&(s=2*((e[r]<<8)+e[r+1]),++r),n[o++]=i[s],n[o++]=i[s+1];return n.slice(0,o).toString(\"ucs2\")}};s[65001]=function e(t){if(\"string\"==typeof t)return e(t.split(\"\").map(h));var n=t.length,r=0,i=0;4*n>g&&(g=4*n,p=Buffer.allocUnsafe(g));var s=0;n>=3&&239==t[0]&&187==t[1]&&191==t[2]&&(s=3);for(var o=1,a=0,c=0;s<n;s+=o)o=1,(c=t[s])<128?r=c:c<224?(r=64*(31&c)+(63&t[s+1]),o=2):c<240?(r=((15&c)<<12)+64*(63&t[s+1])+(63&t[s+2]),o=3):(r=262144*(7&c)+((63&t[s+1])<<12)+64*(63&t[s+2])+(63&t[s+3]),o=4),r<65536?(p[a++]=255&r,p[a++]=r>>8):(i=55296+((r-=65536)>>10&1023),r=56320+(1023&r),p[a++]=255&i,p[a++]=i>>>8,p[a++]=255&r,p[a++]=r>>>8&255);return p.slice(0,a).toString(\"ucs2\")},o[65001]=function(e,t){if(d&&Buffer.isBuffer(e))return t&&\"buf\"!==t?\"arr\"!==t?e.toString(\"binary\"):[].slice.call(e):e;var n=e.length,r=0,i=0,s=0,o=\"string\"==typeof e;4*n>g&&(g=4*n,p=Buffer.allocUnsafe(g));for(var a=0;a<n;++a)(r=o?e.charCodeAt(a):e[a].charCodeAt(0))<=127?p[s++]=r:r<=2047?(p[s++]=192+(r>>6),p[s++]=128+(63&r)):r>=55296&&r<=57343?(r-=55296,++a,i=(o?e.charCodeAt(a):e[a].charCodeAt(0))-56320+(r<<10),p[s++]=240+(i>>>18&7),p[s++]=144+(i>>>12&63),p[s++]=128+(i>>>6&63),p[s++]=128+(63&i)):(p[s++]=224+(r>>12),p[s++]=128+(r>>6&63),p[s++]=128+(63&r));return t&&\"buf\"!==t?\"arr\"!==t?p.slice(0,s).toString(\"binary\"):[].slice.call(p,0,s):p.slice(0,s)}}var I=function(){if(d){if(a[n[0]])return;var t=0,l=0;for(t=0;t<n.length;++t)e[l=n[t]]&&(a[l]=C(l),c[l]=m(l));for(t=0;t<r.length;++t)e[l=r[t]]&&(a[l]=v(l),c[l]=b(l));for(t=0;t<i.length;++t)s[l=i[t]]&&(a[l]=s[l]),o[l]&&(c[l]=o[l])}},A=function(e,t){return\"\"},y=function(e){delete a[e],delete c[e]},w={encache:I,decache:function(){if(d){if(!a[n[0]])return;n.forEach(y),r.forEach(y),i.forEach(y)}x=A,E=0},sbcs:n,dbcs:r};I();var S=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",x=A,E=0;return e.utils={decode:function n(r,i){var s;if(s=a[r])return s(i);if(\"string\"==typeof i)return n(r,i.split(\"\").map(h));var o,c=i.length,l=new Array(c),u=\"\",f=0,g=0,p=1,m=0,C=0,b=e[r],v=\"\";if(b&&(o=b.dec))for(g=0;g<c;g+=p){if(p=2,(u=o[(i[g]<<8)+i[g+1]])||(p=1,u=o[i[g]]),!u)throw new Error(\"Unrecognized code: \"+i[g]+\" \"+i[g+p-1]+\" \"+g+\" \"+p+\" \"+o[i[g]]);l[m++]=u}else{if(!(v=t[r]))throw new Error(\"Unrecognized CP: \"+r);switch(v){case\"utf8\":for(c>=3&&239==i[0]&&187==i[1]&&191==i[2]&&(g=3);g<c;g+=p)p=1,i[g]<128?f=i[g]:i[g]<224?(f=64*(31&i[g])+(63&i[g+1]),p=2):i[g]<240?(f=((15&i[g])<<12)+64*(63&i[g+1])+(63&i[g+2]),p=3):(f=262144*(7&i[g])+((63&i[g+1])<<12)+64*(63&i[g+2])+(63&i[g+3]),p=4),f<65536||(C=55296+((f-=65536)>>10&1023),f=56320+(1023&f),l[m++]=String.fromCharCode(C)),l[m++]=String.fromCharCode(f);break;case\"ascii\":if(d&&Buffer.isBuffer(i))return i.toString(v);for(g=0;g<c;g++)l[g]=String.fromCharCode(i[g]);m=c;break;case\"utf16le\":if(c>=2&&255==i[0]&&254==i[1]&&(g=2),d&&Buffer.isBuffer(i))return i.toString(v);for(p=2;g+1<c;g+=p)l[m++]=String.fromCharCode((i[g+1]<<8)+i[g]);break;case\"utf16be\":for(c>=2&&254==i[0]&&255==i[1]&&(g=2),p=2;g+1<c;g+=p)l[m++]=String.fromCharCode((i[g]<<8)+i[g+1]);break;case\"utf32le\":for(c>=4&&255==i[0]&&254==i[1]&&0===i[2]&&0===i[3]&&(g=4),p=4;g<c;g+=p)(f=(i[g+3]<<24)+(i[g+2]<<16)+(i[g+1]<<8)+i[g])>65535?(f-=65536,l[m++]=String.fromCharCode(55296+(f>>10&1023)),l[m++]=String.fromCharCode(56320+(1023&f))):l[m++]=String.fromCharCode(f);break;case\"utf32be\":for(c>=4&&255==i[3]&&254==i[2]&&0===i[1]&&0===i[0]&&(g=4),p=4;g<c;g+=p)(f=(i[g]<<24)+(i[g+1]<<16)+(i[g+2]<<8)+i[g+3])>65535?(f-=65536,l[m++]=String.fromCharCode(55296+(f>>10&1023)),l[m++]=String.fromCharCode(56320+(1023&f))):l[m++]=String.fromCharCode(f);break;case\"utf7\":for(c>=4&&43==i[0]&&47==i[1]&&118==i[2]&&(c>=5&&56==i[3]&&45==i[4]?g=5:56!=i[3]&&57!=i[3]&&43!=i[3]&&47!=i[3]||(g=4));g<c;g+=p)if(43===i[g])if(p=1,45!==i[g+1]){for(;String.fromCharCode(i[g+p]).match(/[A-Za-z0-9+\\/]/);)p++;var I=0;45===i[g+p]&&(++p,I=1);for(var A=[],y=\"\",w=0,x=0,E=0,k=0,_=1;_<p-I&&(w=S.indexOf(String.fromCharCode(i[g+_++])),x=S.indexOf(String.fromCharCode(i[g+_++])),A.push(w<<2|x>>4),-1!==(E=S.indexOf(String.fromCharCode(i[g+_++]))))&&(A.push((15&x)<<4|E>>2),-1!==(k=S.indexOf(String.fromCharCode(i[g+_++]))));)k<64&&A.push((3&E)<<6|k);for(y=n(1201,A),_=0;_<y.length;++_)l[m++]=y.charAt(_)}else p=2,l[m++]=\"+\";else p=1,l[m++]=String.fromCharCode(i[g]);break;default:throw new Error(\"Unsupported magic: \"+r+\" \"+t[r])}}return l.slice(0,m).join(\"\")},encode:function n(r,i,s){if(r===E&&x)return x(i,s);if(c[r])return(x=c[E=r])(i,s);d&&Buffer.isBuffer(i)&&(i=i.toString(\"utf8\"));var o,a=i.length,h=d?Buffer.allocUnsafe(4*a):[],f=0,g=0,p=0,m=0,C=e[r],b=\"\",v=\"string\"==typeof i;if(C&&(o=C.enc))for(g=0;g<a;++g,++p)(f=o[v?i.charAt(g):i[g]])>255?(h[p]=f>>8,h[++p]=255&f):h[p]=255&f;else{if(!(b=t[r]))throw new Error(\"Unrecognized CP: \"+r);switch(b){case\"utf8\":if(d&&v){p=(h=u(i,b)).length;break}for(g=0;g<a;++g,++p)(f=v?i.charCodeAt(g):i[g].charCodeAt(0))<=127?h[p]=f:f<=2047?(h[p]=192+(f>>6),h[++p]=128+(63&f)):f>=55296&&f<=57343?(f-=55296,m=(v?i.charCodeAt(++g):i[++g].charCodeAt(0))-56320+(f<<10),h[p]=240+(m>>>18&7),h[++p]=144+(m>>>12&63),h[++p]=128+(m>>>6&63),h[++p]=128+(63&m)):(h[p]=224+(f>>12),h[++p]=128+(f>>6&63),h[++p]=128+(63&f));break;case\"ascii\":if(d&&\"string\"==typeof i){p=(h=u(i,b)).length;break}for(g=0;g<a;++g,++p){if(!((f=v?i.charCodeAt(g):i[g].charCodeAt(0))<=127))throw new Error(\"bad ascii \"+f);h[p]=f}break;case\"utf16le\":if(d&&\"string\"==typeof i){p=(h=u(i,b)).length;break}for(g=0;g<a;++g)f=v?i.charCodeAt(g):i[g].charCodeAt(0),h[p++]=255&f,h[p++]=f>>8;break;case\"utf16be\":for(g=0;g<a;++g)f=v?i.charCodeAt(g):i[g].charCodeAt(0),h[p++]=f>>8,h[p++]=255&f;break;case\"utf32le\":for(g=0;g<a;++g)(f=v?i.charCodeAt(g):i[g].charCodeAt(0))>=55296&&f<=57343&&(f=65536+(f-55296<<10)+(i[++g].charCodeAt(0)-56320)),h[p++]=255&f,h[p++]=255&(f>>=8),h[p++]=255&(f>>=8),h[p++]=255&(f>>=8);break;case\"utf32be\":for(g=0;g<a;++g)(f=v?i.charCodeAt(g):i[g].charCodeAt(0))>=55296&&f<=57343&&(f=65536+(f-55296<<10)+(i[++g].charCodeAt(0)-56320)),h[p+3]=255&f,h[p+2]=255&(f>>=8),h[p+1]=255&(f>>=8),h[p]=255&(f>>=8),p+=4;break;case\"utf7\":for(g=0;g<a;g++){var I=v?i.charAt(g):i[g].charAt(0);if(\"+\"!==I)if(\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789'(),-./:?\".indexOf(I)>-1)h[p++]=I.charCodeAt(0);else{var 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13:return\"INVALID\"}},rules:[/^(?:\\s+)/,/^(?:(-?([0-9]|[1-9][0-9]+))(\\.[0-9]+)?([eE][-+]?[0-9]+)?\\b)/,/^(?:\"(?:\\\\[\\\\\"bfnrt/]|\\\\u[a-fA-F0-9]{4}|[^\\\\\\0-\\x09\\x0a-\\x1f\"])*\")/,/^(?:\\{)/,/^(?:\\})/,/^(?:\\[)/,/^(?:\\])/,/^(?:,)/,/^(?::)/,/^(?:true\\b)/,/^(?:false\\b)/,/^(?:null\\b)/,/^(?:$)/,/^(?:.)/],conditions:{INITIAL:{rules:[0,1,2,3,4,5,6,7,8,9,10,11,12,13],inclusive:!0}}},n);t.parser=n,t.parse=n.parse.bind(n)},3879:function(e){\"use strict\";function t(){}var n={defaultSelected:!0,width:\"auto\",disabled:!1,searchable:!0,clearable:!1,sortSelected:!1,allowDeselect:!1,closeOnScroll:!1,nativeDropdown:!1,placeholder:\"Select an option...\",taggable:!1,tagPlaceholder:\"Enter a tag...\"};t.prototype={on:function(e,t){this._events=this._events||{},this._events[e]=this._events[e]||[],this._events[e].push(t)},off:function(e,t){this._events=this._events||{},e in this._events!=0&&this._events[e].splice(this._events[e].indexOf(t),1)},emit:function(e){if(this._events=this._events||{},e in this._events!=0)for(var t=0;t<this._events[e].length;t++)this._events[e][t].apply(this,Array.prototype.slice.call(arguments,1))}},t.mixin=function(e){for(var n=[\"on\",\"off\",\"emit\"],r=0;r<n.length;r++)\"function\"==typeof e?e.prototype[n[r]]=t.prototype[n[r]]:e[n[r]]=t.prototype[n[r]];return e};var r={extend:function(e,t){for(var n in t=t||{},e)e.hasOwnProperty(n)&&(t.hasOwnProperty(n)||(t[n]=e[n]));return t},each:function(e,t,n){if(\"[object Object]\"===Object.prototype.toString.call(e))for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.call(n,r,e[r],e);else for(var i=0,s=e.length;i<s;i++)t.call(n,i,e[i],e)},createElement:function(e,t){var n,r,i=document,s=i.createElement(e);if(t&&\"[object Object]\"===Object.prototype.toString.call(t))for(n in t)n in s?s[n]=t[n]:\"html\"===n?s.textContent=t[n]:\"text\"===n?(r=i.createTextNode(t[n]),s.appendChild(r)):s.setAttribute(n,t[n]);return s},hasClass:function(e,t){if(e)return e.classList?e.classList.contains(t):!!e.className&&!!e.className.match(new RegExp(\"(\\\\s|^)\"+t+\"(\\\\s|$)\"))},addClass:function(e,t){r.hasClass(e,t)||(e.classList?e.classList.add(t):e.className=e.className.trim()+\" \"+t)},removeClass:function(e,t){r.hasClass(e,t)&&(e.classList?e.classList.remove(t):e.className=e.className.replace(new RegExp(\"(^|\\\\s)\"+t.split(\" \").join(\"|\")+\"(\\\\s|$)\",\"gi\"),\" \"))},closest:function(e,t){return e&&e!==document.body&&(t(e)?e:r.closest(e.parentNode,t))},isInt:function(e){return\"number\"==typeof e&&isFinite(e)&&Math.floor(e)===e},debounce:function(e,t,n){var r;return function(){var i=this,s=arguments,o=n&&!r;clearTimeout(r),r=setTimeout((function(){r=null,n||e.apply(i,s)}),t),o&&e.apply(i,s)}},rect:function(e,t){var n=window,r=e.getBoundingClientRect();return e=t?n.pageXOffset:0,{bottom:r.bottom+(n=t?n.pageYOffset:0),height:r.height,left:r.left+e,right:r.right+e,top:r.top+n,width:r.width}},includes:function(e,t){return-1<e.indexOf(t)},truncate:function(e){for(;e.firstChild;)e.removeChild(e.firstChild)}};function i(e,t){return e.hasOwnProperty(t)&&(!0===e[t]||e[t].length)}function s(e,t,n){e.parentNode?e.parentNode.parentNode||t.appendChild(e.parentNode):t.appendChild(e),r.removeClass(e,\"excluded\"),n||(e.textContent=e.textContent+\"\")}function o(){var e,t;this.items.length&&(e=document.createDocumentFragment(),this.config.pagination?(t=this.pages.slice(0,this.pageIndex),r.each(t,(function(t,n){r.each(n,(function(t,n){s(n,e,this.customOption)}),this)}),this)):r.each(this.items,(function(t,n){s(n,e,this.customOption)}),this),e.childElementCount&&(r.removeClass(this.items[this.navIndex],\"active\"),this.navIndex=e.querySelector(\".selectr-option\").idx,r.addClass(this.items[this.navIndex],\"active\")),this.tree.appendChild(e))}function a(e,t){return t=t||e,t=this.customOption?this.config.renderOption(t):e.textContent,(t=r.createElement(\"li\",{class:\"selectr-option\",html:t,role:\"treeitem\",\"aria-selected\":!1})).idx=e.idx,this.items.push(t),e.defaultSelected&&this.defaultSelected.push(e.idx),e.disabled&&(t.disabled=!0,r.addClass(t,\"disabled\")),t}function c(){(this.config.searchable||this.config.taggable)&&(this.input.value=null,this.searching=!1,this.config.searchable&&r.removeClass(this.inputContainer,\"active\"),r.hasClass(this.container,\"notice\")&&(r.removeClass(this.container,\"notice\"),r.addClass(this.container,\"open\"),this.input.focus()),r.each(this.items,(function(e,t){r.removeClass(t,\"excluded\"),this.customOption||(t.textContent=t.textContent+\"\")}),this))}function l(e,t){if(t=t||{},!e)throw new Error(\"You must supply either a HTMLSelectElement or a CSS3 selector string.\");if(\"string\"==typeof(this.el=e)&&(this.el=document.querySelector(e)),null===this.el)throw new Error(\"The element you passed to Selectr can not be found.\");if(\"select\"!==this.el.nodeName.toLowerCase())throw new Error(\"The element you passed to Selectr is not a HTMLSelectElement.\");this.render(t)}var h=function(){var e,t=this.tree;t.scrollHeight-t.offsetHeight<=t.scrollTop&&this.pageIndex<this.pages.length&&(e=document.createDocumentFragment(),r.each(this.pages[this.pageIndex],(function(t,n){s(n,e,this.customOption)}),this),t.appendChild(e),this.pageIndex++,this.emit(\"selectr.paginate\",{items:this.items.length,total:this.data.length,page:this.pageIndex,pages:this.pages.length}))};l.prototype.render=function(e){var s;this.rendered||(this.config=r.extend(n,e),this.originalType=this.el.type,this.originalIndex=this.el.tabIndex,this.defaultSelected=[],this.originalOptionCount=this.el.options.length,(this.config.multiple||this.config.taggable)&&(this.el.multiple=!0),this.disabled=i(this.config,\"disabled\"),this.opened=!1,this.config.taggable&&(this.config.searchable=!1),this.navigating=!1,this.mobileDevice=!1,/Android|webOS|iPhone|iPad|BlackBerry|Windows Phone|Opera Mini|IEMobile|Mobile/i.test(navigator.userAgent)&&(this.mobileDevice=!0),this.customOption=this.config.hasOwnProperty(\"renderOption\")&&\"function\"==typeof this.config.renderOption,this.customSelected=this.config.hasOwnProperty(\"renderSelection\")&&\"function\"==typeof this.config.renderSelection,t.mixin(this),(function(){this.requiresPagination=this.config.pagination&&0<this.config.pagination,i(this.config,\"width\")&&(r.isInt(this.config.width)?this.width=this.config.width+\"px\":\"auto\"===this.config.width?this.width=\"100%\":r.includes(this.config.width,\"%\")&&(this.width=this.config.width)),this.container=r.createElement(\"div\",{class:\"selectr-container\"}),this.config.customClass&&r.addClass(this.container,this.config.customClass),r.addClass(this.container,this.mobileDevice?\"selectr-mobile\":\"selectr-desktop\"),this.el.tabIndex=-1,r.addClass(this.el,this.config.nativeDropdown||this.mobileDevice?\"selectr-visible\":\"selectr-hidden\"),this.selected=r.createElement(\"div\",{class:\"selectr-selected\",disabled:this.disabled,tabIndex:1,\"aria-expanded\":!1}),this.label=r.createElement(this.el.multiple?\"ul\":\"span\",{class:\"selectr-label\"});var e,t=r.createElement(\"div\",{class:\"selectr-options-container\"});this.tree=r.createElement(\"ul\",{class:\"selectr-options\",role:\"tree\",\"aria-hidden\":!0,\"aria-expanded\":!1}),this.notice=r.createElement(\"div\",{class:\"selectr-notice\"}),this.el.setAttribute(\"aria-hidden\",!0),this.disabled&&(this.el.disabled=!0),this.el.multiple&&(r.addClass(this.label,\"selectr-tags\"),r.addClass(this.container,\"multiple\"),this.tags=[],this.selectedValues=this.getSelectedProperties(\"value\"),this.selectedIndexes=this.getSelectedProperties(\"idx\")),this.selected.appendChild(this.label),this.config.clearable&&(this.selectClear=r.createElement(\"button\",{class:\"selectr-clear\",type:\"button\"}),this.container.appendChild(this.selectClear),r.addClass(this.container,\"clearable\")),this.config.taggable&&(e=r.createElement(\"li\",{class:\"input-tag\"}),this.input=r.createElement(\"input\",{class:\"selectr-tag-input\",placeholder:this.config.tagPlaceholder,tagIndex:0,autocomplete:\"off\",autocorrect:\"off\",autocapitalize:\"off\",spellcheck:\"false\",role:\"textbox\",type:\"search\"}),e.appendChild(this.input),this.label.appendChild(e),r.addClass(this.container,\"taggable\"),this.tagSeperators=[\",\"],this.config.tagSeperators&&(this.tagSeperators=this.tagSeperators.concat(this.config.tagSeperators))),this.config.searchable&&(this.input=r.createElement(\"input\",{class:\"selectr-input\",tagIndex:-1,autocomplete:\"off\",autocorrect:\"off\",autocapitalize:\"off\",spellcheck:\"false\",role:\"textbox\",type:\"search\"}),this.inputClear=r.createElement(\"button\",{class:\"selectr-input-clear\",type:\"button\"}),this.inputContainer=r.createElement(\"div\",{class:\"selectr-input-container\"}),this.inputContainer.appendChild(this.input),this.inputContainer.appendChild(this.inputClear),t.appendChild(this.inputContainer)),t.appendChild(this.notice),t.appendChild(this.tree),this.items=[],this.options=[],this.el.options.length&&(this.options=[].slice.call(this.el.options));var n,s,o,c=!1,l=0;this.el.children.length&&r.each(this.el.children,(function(e,t){\"OPTGROUP\"===t.nodeName?(c=r.createElement(\"ul\",{class:\"selectr-optgroup\",role:\"group\",html:\"<li class='selectr-optgroup--label'>\"+t.label+\"</li>\"}),r.each(t.children,(function(e,t){t.idx=l,c.appendChild(a.call(this,t,c)),l++}),this)):(t.idx=l,a.call(this,t),l++)}),this),this.config.data&&Array.isArray(this.config.data)&&(n=!(this.data=[]),c=!1,l=0,r.each(this.config.data,(function(e,t){i(t,\"children\")?(n=r.createElement(\"optgroup\",{label:t.text}),c=r.createElement(\"ul\",{class:\"selectr-optgroup\",role:\"group\",html:\"<li class='selectr-optgroup--label'>\"+t.text+\"</li>\"}),r.each(t.children,(function(e,t){(s=new Option(t.text,t.value,!1,t.hasOwnProperty(\"selected\")&&!0===t.selected)).disabled=i(t,\"disabled\"),this.options.push(s),n.appendChild(s),s.idx=l,c.appendChild(a.call(this,s,t)),this.data[l]=t,l++}),this)):((s=new Option(t.text,t.value,!1,t.hasOwnProperty(\"selected\")&&!0===t.selected)).disabled=i(t,\"disabled\"),this.options.push(s),s.idx=l,a.call(this,s,t),this.data[l]=t,l++)}),this)),this.setSelected(!0);for(var h=this.navIndex=0;h<this.items.length;h++)if(!r.hasClass(o=this.items[h],\"disabled\")){r.addClass(o,\"active\"),this.navIndex=h;break}this.requiresPagination&&(this.pageIndex=1,this.paginate()),this.container.appendChild(this.selected),this.container.appendChild(t),this.placeEl=r.createElement(\"div\",{class:\"selectr-placeholder\"}),this.setPlaceholder(),this.selected.appendChild(this.placeEl),this.disabled&&this.disable(),this.el.parentNode.insertBefore(this.container,this.el),this.container.appendChild(this.el)}).call(this),this.bindEvents(),this.update(),this.optsRect=r.rect(this.tree),this.rendered=!0,this.el.multiple||(this.el.selectedIndex=this.selectedIndex),s=this,setTimeout((function(){s.emit(\"selectr.init\")}),20))},l.prototype.getSelected=function(){return this.el.querySelectorAll(\"option:checked\")},l.prototype.getSelectedProperties=function(e){var t=this.getSelected();return[].slice.call(t).map((function(t){return t[e]})).filter((function(e){return null!=e}))},l.prototype.bindEvents=function(){var e=this;this.events={},this.events.dismiss=(function(e){this.container.contains(e=e.target)||!this.opened&&!r.hasClass(this.container,\"notice\")||this.close()}).bind(this),this.events.navigate=(function(e){if(e=e||window.event,this.items.length&&this.opened&&r.includes([13,38,40],e.which)){if(e.preventDefault(),13===e.which)return!(this.config.taggable&&0<this.input.value.length)&&this.change(this.navIndex);var t,n=this.items[this.navIndex];switch(e.which){case 38:(t=0)<this.navIndex&&this.navIndex--;break;case 40:t=1,this.navIndex<this.items.length-1&&this.navIndex++}for(this.navigating=!0;r.hasClass(this.items[this.navIndex],\"disabled\")||r.hasClass(this.items[this.navIndex],\"excluded\");)if(t?this.navIndex++:this.navIndex--,this.searching){if(this.navIndex>this.tree.lastElementChild.idx){this.navIndex=this.tree.lastElementChild.idx;break}if(this.navIndex<this.tree.firstElementChild.idx){this.navIndex=this.tree.firstElementChild.idx;break}}e=r.rect(this.items[this.navIndex]),t?(0===this.navIndex?this.tree.scrollTop=0:e.top+e.height>this.optsRect.top+this.optsRect.height&&(this.tree.scrollTop=this.tree.scrollTop+(e.top+e.height-(this.optsRect.top+this.optsRect.height))),this.navIndex===this.tree.childElementCount-1&&this.requiresPagination&&h.call(this)):0===this.navIndex?this.tree.scrollTop=0:e.top-this.optsRect.top<0&&(this.tree.scrollTop=this.tree.scrollTop+(e.top-this.optsRect.top)),n&&r.removeClass(n,\"active\"),r.addClass(this.items[this.navIndex],\"active\")}else this.navigating=!1}).bind(this),this.events.reset=this.reset.bind(this),(this.config.nativeDropdown||this.mobileDevice)&&(this.container.addEventListener(\"touchstart\",(function(t){t.changedTouches[0].target===e.el&&e.toggle()})),(this.config.nativeDropdown||this.mobileDevice)&&this.container.addEventListener(\"click\",(function(t){t.preventDefault(),t.stopPropagation(),t.target===e.el&&e.toggle()})),this.el.addEventListener(\"change\",(function(t){var n;e.el.multiple?(n=e.getSelectedProperties(\"idx\"),n=function(e,t){for(var n,r=[],i=e.slice(0),s=0;s<t.length;s++)-1<(n=i.indexOf(t[s]))?i.splice(n,1):r.push(t[s]);return[r,i]}(e.selectedIndexes,n),r.each(n[0],(function(t,n){e.select(n)}),e),r.each(n[1],(function(t,n){e.deselect(n)}),e)):-1<e.el.selectedIndex&&e.select(e.el.selectedIndex)}))),this.config.nativeDropdown&&this.container.addEventListener(\"keydown\",(function(t){\"Enter\"===t.key&&e.selected===document.activeElement&&(e.toggle(),setTimeout((function(){e.el.focus()}),200))})),this.selected.addEventListener(\"click\",(function(t){e.disabled||e.toggle(),t.preventDefault(),t.stopPropagation()})),this.label.addEventListener(\"click\",(function(t){r.hasClass(t.target,\"selectr-tag-remove\")&&e.deselect(t.target.parentNode.idx)})),this.selectClear&&this.selectClear.addEventListener(\"click\",this.clear.bind(this)),this.tree.addEventListener(\"mousedown\",(function(e){e.preventDefault()})),this.tree.addEventListener(\"click\",(function(t){t.preventDefault(),t.stopPropagation(),(t=r.closest(t.target,(function(e){return e&&r.hasClass(e,\"selectr-option\")})))&&(r.hasClass(t,\"disabled\")||(r.hasClass(t,\"selected\")?(e.el.multiple||!e.el.multiple&&e.config.allowDeselect)&&e.deselect(t.idx):e.select(t.idx),e.opened&&!e.el.multiple&&e.close()))})),this.tree.addEventListener(\"mouseover\",(function(t){r.hasClass(t.target,\"selectr-option\")&&(r.hasClass(t.target,\"disabled\")||(r.removeClass(e.items[e.navIndex],\"active\"),r.addClass(t.target,\"active\"),e.navIndex=[].slice.call(e.items).indexOf(t.target)))})),this.config.searchable&&(this.input.addEventListener(\"focus\",(function(t){e.searching=!0})),this.input.addEventListener(\"blur\",(function(t){e.searching=!1})),this.input.addEventListener(\"keyup\",(function(t){e.search(),e.config.taggable||(this.value.length?r.addClass(this.parentNode,\"active\"):r.removeClass(this.parentNode,\"active\"))})),this.inputClear.addEventListener(\"click\",(function(t){e.input.value=null,c.call(e),e.tree.childElementCount||o.call(e)}))),this.config.taggable&&this.input.addEventListener(\"keyup\",(function(t){var n;e.search(),e.config.taggable&&this.value.length&&(n=this.value.trim(),13!==t.which&&!r.includes(e.tagSeperators,t.key)||(r.each(e.tagSeperators,(function(e,t){n=n.replace(t,\"\")})),e.add({value:n,text:n,selected:!0},!0)?(e.close(),c.call(e)):(this.value=\"\",e.setMessage(\"That tag is already in use.\"))))})),this.update=r.debounce((function(){e.opened&&e.config.closeOnScroll&&e.close(),e.width&&(e.container.style.width=e.width),e.invert()}),50),this.requiresPagination&&(this.paginateItems=r.debounce((function(){h.call(this)}),50),this.tree.addEventListener(\"scroll\",this.paginateItems.bind(this))),document.addEventListener(\"click\",this.events.dismiss),window.addEventListener(\"keydown\",this.events.navigate),window.addEventListener(\"resize\",this.update),window.addEventListener(\"scroll\",this.update),this.el.form&&this.el.form.addEventListener(\"reset\",this.events.reset)},l.prototype.setSelected=function(e){var t;this.config.data||this.el.multiple||!this.el.options.length||(0===this.el.selectedIndex&&(this.el.options[0].defaultSelected||this.config.defaultSelected||(this.el.selectedIndex=-1)),this.selectedIndex=this.el.selectedIndex,-1<this.selectedIndex&&this.select(this.selectedIndex)),this.config.multiple&&\"select-one\"===this.originalType&&!this.config.data&&this.el.options[0].selected&&!this.el.options[0].defaultSelected&&(this.el.options[0].selected=!1),r.each(this.options,(function(e,t){t.selected&&t.defaultSelected&&this.select(t.idx)}),this),this.config.selectedValue&&this.setValue(this.config.selectedValue),this.config.data&&(!this.el.multiple&&this.config.defaultSelected&&this.el.selectedIndex<0&&this.select(0),t=0,r.each(this.config.data,(function(e,n){i(n,\"children\")?r.each(n.children,(function(e,n){n.hasOwnProperty(\"selected\")&&!0===n.selected&&this.select(t),t++}),this):(n.hasOwnProperty(\"selected\")&&!0===n.selected&&this.select(t),t++)}),this))},l.prototype.destroy=function(){this.rendered&&(this.emit(\"selectr.destroy\"),\"select-one\"===this.originalType&&(this.el.multiple=!1),this.config.data&&(this.el.textContent=\"\"),r.removeClass(this.el,\"selectr-hidden\"),this.el.form&&r.off(this.el.form,\"reset\",this.events.reset),r.off(document,\"click\",this.events.dismiss),r.off(document,\"keydown\",this.events.navigate),r.off(window,\"resize\",this.update),r.off(window,\"scroll\",this.update),this.container.parentNode.replaceChild(this.el,this.container),this.rendered=!1)},l.prototype.change=function(e){var t=this.options[e];t.disabled||(t.selected&&r.hasClass(this.items[e],\"selected\")?this.deselect(e):this.select(e),this.opened&&!this.el.multiple&&this.close())},l.prototype.select=function(e){var t=this.items[e],n=[].slice.call(this.el.options),i=this.options[e];if(this.el.multiple){if(r.includes(this.selectedIndexes,e))return!1;if(this.config.maxSelections&&this.tags.length===this.config.maxSelections)return this.setMessage(\"A maximum of \"+this.config.maxSelections+\" items can be selected.\",!0),!1;this.selectedValues.push(i.value),this.selectedIndexes.push(e),(function(e){var t,n=this,i=document.createDocumentFragment(),s=this.options[e.idx],o=this.data?this.data[e.idx]:s,a=this.customSelected?this.config.renderSelection(o):s.textContent;o=r.createElement(\"li\",{class:\"selectr-tag\",html:a}),a=r.createElement(\"button\",{class:\"selectr-tag-remove\",type:\"button\"}),o.appendChild(a),o.idx=e.idx,o.tag=s.value,this.tags.push(o),this.config.sortSelected?(s=this.tags.slice(),t=function(e,t){e.replace(/(\\d+)|(\\D+)/g,(function(e,n,r){t.push([n||1/0,r||\"\"])}))},s.sort((function(e,r){var i,s,o=[],a=[];for(!0===n.config.sortSelected?(i=e.tag,s=r.tag):\"text\"===n.config.sortSelected&&(i=e.textContent,s=r.textContent),t(i,o),t(s,a);o.length&&a.length;){var c=o.shift(),l=a.shift();if(l=c[0]-l[0]||c[1].localeCompare(l[1]))return l}return o.length-a.length})),r.each(s,(function(e,t){i.appendChild(t)})),this.label.textContent=\"\"):i.appendChild(o),this.config.taggable?this.label.insertBefore(i,this.input.parentNode):this.label.appendChild(i)}).call(this,t)}else this.label.textContent=this.customSelected?this.config.renderSelection(this.data?this.data[e]:i):i.textContent,this.selectedValue=i.value,this.selectedIndex=e,r.each(this.options,(function(t,n){var i=this.items[t];t!==e&&(i&&r.removeClass(i,\"selected\"),n.selected=!1,n.removeAttribute(\"selected\"))}),this);r.includes(n,i)||this.el.add(i),t.setAttribute(\"aria-selected\",!0),r.addClass(t,\"selected\"),r.addClass(this.container,\"has-selected\"),i.selected=!0,i.setAttribute(\"selected\",\"\"),this.emit(\"selectr.change\",i),this.emit(\"selectr.select\",i)},l.prototype.deselect=function(e,t){var n=this.items[e],i=this.options[e];if(this.el.multiple){var s=this.selectedIndexes.indexOf(e);this.selectedIndexes.splice(s,1),s=this.selectedValues.indexOf(i.value),this.selectedValues.splice(s,1),(function(e){var t=!1;r.each(this.tags,(function(n,r){r.idx===e.idx&&(t=r)}),this),t&&(this.label.removeChild(t),this.tags.splice(this.tags.indexOf(t),1))}).call(this,n),this.tags.length||r.removeClass(this.container,\"has-selected\")}else{if(!t&&!this.config.clearable&&!this.config.allowDeselect)return!1;this.label.textContent=\"\",this.selectedValue=null,this.el.selectedIndex=this.selectedIndex=-1,r.removeClass(this.container,\"has-selected\")}this.items[e].setAttribute(\"aria-selected\",!1),r.removeClass(this.items[e],\"selected\"),i.selected=!1,i.removeAttribute(\"selected\"),this.emit(\"selectr.change\",null),this.emit(\"selectr.deselect\",i)},l.prototype.setValue=function(e){var t=Array.isArray(e);if(t||(e=e.toString().trim()),!this.el.multiple&&t)return!1;r.each(this.options,(function(n,i){(t&&r.includes(e.toString(),i.value)||i.value===e)&&this.change(i.idx)}),this)},l.prototype.getValue=function(e,t){var n,i;return this.el.multiple?e?this.selectedIndexes.length&&(i={values:[]},r.each(this.selectedIndexes,(function(e,t){i.values[e]={value:(t=this.options[t]).value,text:t.textContent}}),this)):i=this.selectedValues.slice():i=e?{value:(n=this.options[this.selectedIndex]).value,text:n.textContent}:this.selectedValue,e&&t&&(i=JSON.stringify(i)),i},l.prototype.add=function(e,t){if(e){if(this.data=this.data||[],this.items=this.items||[],this.options=this.options||[],Array.isArray(e))r.each(e,(function(e,n){this.add(n,t)}),this);else if(\"[object Object]\"===Object.prototype.toString.call(e)){if(t){var n=!1;if(r.each(this.options,(function(t,r){r.value.toLowerCase()===e.value.toLowerCase()&&(n=!0)})),n)return!1}var i=r.createElement(\"option\",e);return this.data.push(e),this.options.push(i),i.idx=0<this.options.length?this.options.length-1:0,a.call(this,i),e.selected&&this.select(i.idx),i}return this.setPlaceholder(),this.config.pagination&&this.paginate(),!0}},l.prototype.remove=function(e){var t,n=[];Array.isArray(e)?r.each(e,(function(t,i){r.isInt(i)?n.push(this.getOptionByIndex(i)):\"string\"==typeof e&&n.push(this.getOptionByValue(i))}),this):r.isInt(e)?n.push(this.getOptionByIndex(e)):\"string\"==typeof e&&n.push(this.getOptionByValue(e)),n.length&&(r.each(n,(function(e,n){t=n.idx,this.el.remove(n),this.options.splice(t,1),(n=this.items[t].parentNode)&&n.removeChild(this.items[t]),this.items.splice(t,1),r.each(this.options,(function(e,t){t.idx=e,this.items[e].idx=e}),this)}),this),this.setPlaceholder(),this.config.pagination&&this.paginate())},l.prototype.removeAll=function(){this.clear(!0),r.each(this.el.options,(function(e,t){this.el.remove(t)}),this),r.truncate(this.tree),this.items=[],this.options=[],this.data=[],this.navIndex=0,this.requiresPagination&&(this.requiresPagination=!1,this.pageIndex=1,this.pages=[]),this.setPlaceholder()},l.prototype.search=function(e){var t,n;this.navigating||(e=e||this.input.value,t=document.createDocumentFragment(),this.removeMessage(),r.truncate(this.tree),1<e.length?(r.each(this.options,(function(n,i){var o,a=this.items[i.idx];r.includes(i.textContent.toLowerCase(),e.toLowerCase())&&!i.disabled?(s(a,t,this.customOption),r.removeClass(a,\"excluded\"),this.customOption||(a.textContent=\"\",(o=function(e,t){var n=new RegExp(e,\"i\").exec(t);return n?(e=n.index,n=n.index+n[0].length,{before:t.substring(0,e),match:t.substring(e,n),after:t.substring(n)}):null}(e,i.textContent))&&(a.appendChild(document.createTextNode(o.before)),(i=document.createElement(\"span\")).className=\"selectr-match\",i.appendChild(document.createTextNode(o.match)),a.appendChild(i),a.appendChild(document.createTextNode(o.after))))):r.addClass(a,\"excluded\")}),this),t.childElementCount?(n=t.firstElementChild,r.removeClass(this.items[this.navIndex],\"active\"),this.navIndex=n.idx,r.addClass(n,\"active\")):this.config.taggable||this.setMessage(\"no results.\")):o.call(this),this.tree.appendChild(t))},l.prototype.toggle=function(){this.disabled||(this.opened?this.close():this.open())},l.prototype.open=function(){var e=this;return!!this.options.length&&(this.opened||this.emit(\"selectr.open\"),this.opened=!0,this.mobileDevice||this.config.nativeDropdown?(r.addClass(this.container,\"native-open\"),void(this.config.data&&r.each(this.options,(function(e,t){this.el.add(t)}),this))):(r.addClass(this.container,\"open\"),o.call(this),this.invert(),this.tree.scrollTop=0,r.removeClass(this.container,\"notice\"),this.selected.setAttribute(\"aria-expanded\",!0),this.tree.setAttribute(\"aria-hidden\",!1),this.tree.setAttribute(\"aria-expanded\",!0),void(this.config.searchable&&!this.config.taggable&&setTimeout((function(){e.input.focus(),e.input.tabIndex=0}),10))))},l.prototype.close=function(){var e;this.opened&&this.emit(\"selectr.close\"),this.opened=!1,this.mobileDevice||this.config.nativeDropdown?r.removeClass(this.container,\"native-open\"):(e=r.hasClass(this.container,\"notice\"),this.config.searchable&&!e&&(this.input.blur(),this.input.tabIndex=-1,this.searching=!1),e&&(r.removeClass(this.container,\"notice\"),this.notice.textContent=\"\"),r.removeClass(this.container,\"open\"),r.removeClass(this.container,\"native-open\"),this.selected.setAttribute(\"aria-expanded\",!1),this.tree.setAttribute(\"aria-hidden\",!0),this.tree.setAttribute(\"aria-expanded\",!1),r.truncate(this.tree),c.call(this))},l.prototype.enable=function(){this.disabled=!1,this.el.disabled=!1,this.selected.tabIndex=this.originalIndex,this.el.multiple&&r.each(this.tags,(function(e,t){t.lastElementChild.tabIndex=0})),r.removeClass(this.container,\"selectr-disabled\")},l.prototype.disable=function(e){e||(this.el.disabled=!0),this.selected.tabIndex=-1,this.el.multiple&&r.each(this.tags,(function(e,t){t.lastElementChild.tabIndex=-1})),this.disabled=!0,r.addClass(this.container,\"selectr-disabled\")},l.prototype.reset=function(){this.disabled||(this.clear(),this.setSelected(!0),r.each(this.defaultSelected,(function(e,t){this.select(t)}),this),this.emit(\"selectr.reset\"))},l.prototype.clear=function(e){var t;this.el.multiple?this.selectedIndexes.length&&(t=this.selectedIndexes.slice(),r.each(t,(function(e,t){this.deselect(t)}),this)):-1<this.selectedIndex&&this.deselect(this.selectedIndex,e),this.emit(\"selectr.clear\")},l.prototype.serialise=function(e){var t=[];return r.each(this.options,(function(e,n){var r={value:n.value,text:n.textContent};n.selected&&(r.selected=!0),n.disabled&&(r.disabled=!0),t[e]=r})),e?JSON.stringify(t):t},l.prototype.serialize=function(e){return this.serialise(e)},l.prototype.setPlaceholder=function(e){e=e||this.config.placeholder||this.el.getAttribute(\"placeholder\"),this.options.length||(e=\"No options available\"),this.placeEl.textContent=e},l.prototype.paginate=function(){if(this.items.length){var e=this;return this.pages=this.items.map((function(t,n){return n%e.config.pagination==0?e.items.slice(n,n+e.config.pagination):null})).filter((function(e){return e})),this.pages}},l.prototype.setMessage=function(e,t){t&&this.close(),r.addClass(this.container,\"notice\"),this.notice.textContent=e},l.prototype.removeMessage=function(){r.removeClass(this.container,\"notice\"),this.notice.textContent=\"\"},l.prototype.invert=function(){var e=r.rect(this.selected),t=window.innerHeight;e.top+e.height+this.tree.parentNode.offsetHeight>t?(r.addClass(this.container,\"inverted\"),this.isInverted=!0):(r.removeClass(this.container,\"inverted\"),this.isInverted=!1),this.optsRect=r.rect(this.tree)},l.prototype.getOptionByIndex=function(e){return this.options[e]},l.prototype.getOptionByValue=function(e){for(var t=!1,n=0,r=this.options.length;n<r;n++)if(this.options[n].value.trim()===e.toString().trim()){t=this.options[n];break}return t},e.exports=l},4188:function(e,t,n){\"use strict\";n.d(t,{qD:function(){return r},EX:function(){return i},WF:function(){return s},oW:function(){return o}});var r=document.body,i=10485760,s=2e4,o=2147483648},2602:function(e,t,n){\"use strict\";n.d(t,{w:function(){return i}});var r=n(9791);function i(e,t,n){var i,s=3<arguments.length&&void 0!==arguments[3]&&arguments[3],o=\"function\"==typeof(l=e).getRootNode?l.getRootNode():window,a={},c=e.getBoundingClientRect(),l=t.getBoundingClientRect(),h=document.createElement(\"div\");function d(){if(h&&h.parentNode){for(var t in h.parentNode.removeChild(h),a)i=t,Object.prototype.hasOwnProperty.call(a,i)&&((i=a[t])&&(0,r.removeEventListener)(o,t,i),delete a[t]);\"function\"==typeof n&&n(e)}var i}function u(e){(e=e.target)===h||(0,r.isChildOf)(e,h)||d()}return h.className=\"jsoneditor-anchor\",h.style.position=\"absolute\",h.style.left=c.left-l.left+\"px\",h.style.top=c.top-l.top+\"px\",h.style.width=c.width-2+\"px\",h.style.height=c.height-2+\"px\",h.style.boxSizing=\"border-box\",t.appendChild(h),a.mousedown=(0,r.addEventListener)(o,\"mousedown\",u),a.mousewheel=(0,r.addEventListener)(o,\"mousewheel\",u),s&&(i=null,h.onmouseover=function(){clearTimeout(i),i=null},h.onmouseout=function(){i=i||setTimeout(d,200)}),h.destroy=d,h}},7923:function(e){e.exports=\"data:application/javascript;base64,"no use strict";
!(function(window) {
if (typeof window.window != "undefined" && window.document)
    return;
if (window.require && window.define)
    return;

if (!window.console) {
    window.console = function() {
        var msgs = Array.prototype.slice.call(arguments, 0);
        postMessage({type: "log", data: msgs});
    };
    window.console.error =
    window.console.warn = 
    window.console.log =
    window.console.trace = window.console;
}
window.window = window;
window.ace = window;

window.onerror = function(message, file, line, col, err) {
    postMessage({type: "error", data: {
        message: message,
        data: err.data,
        file: file,
        line: line, 
        col: col,
        stack: err.stack
    }});
};

window.normalizeModule = function(parentId, moduleName) {
    // normalize plugin requires
    if (moduleName.indexOf("!") !== -1) {
        var chunks = moduleName.split("!");
        return window.normalizeModule(parentId, chunks[0]) + "!" + window.normalizeModule(parentId, chunks[1]);
    }
    // normalize relative requires
    if (moduleName.charAt(0) == ".") {
        var base = parentId.split("/").slice(0, -1).join("/");
        moduleName = (base ? base + "/" : "") + moduleName;
        
        while (moduleName.indexOf(".") !== -1 && previous != moduleName) {
            var previous = moduleName;
            moduleName = moduleName.replace(/^\.\//, "").replace(/\/\.\//, "/").replace(/[^\/]+\/\.\.\//, "");
        }
    }
    
    return moduleName;
};

window.require = function require(parentId, id) {
    if (!id) {
        id = parentId;
        parentId = null;
    }
    if (!id.charAt)
        throw new Error("worker.js require() accepts only (parentId, id) as arguments");

    id = window.normalizeModule(parentId, id);

    var module = window.require.modules[id];
    if (module) {
        if (!module.initialized) {
            module.initialized = true;
            module.exports = module.factory().exports;
        }
        return module.exports;
    }
   
    if (!window.require.tlns)
        return console.log("unable to load " + id);
    
    var path = resolveModuleId(id, window.require.tlns);
    if (path.slice(-3) != ".js") path += ".js";
    
    window.require.id = id;
    window.require.modules[id] = {}; // prevent infinite loop on broken modules
    importScripts(path);
    return window.require(parentId, id);
};
function resolveModuleId(id, paths) {
    var testPath = id, tail = "";
    while (testPath) {
        var alias = paths[testPath];
        if (typeof alias == "string") {
            return alias + tail;
        } else if (alias) {
            return  alias.location.replace(/\/*$/, "/") + (tail || alias.main || alias.name);
        } else if (alias === false) {
            return "";
        }
        var i = testPath.lastIndexOf("/");
        if (i === -1) break;
        tail = testPath.substr(i) + tail;
        testPath = testPath.slice(0, i);
    }
    return id;
}
window.require.modules = {};
window.require.tlns = {};

window.define = function(id, deps, factory) {
    if (arguments.length == 2) {
        factory = deps;
        if (typeof id != "string") {
            deps = id;
            id = window.require.id;
        }
    } else if (arguments.length == 1) {
        factory = id;
        deps = [];
        id = window.require.id;
    }
    
    if (typeof factory != "function") {
        window.require.modules[id] = {
            exports: factory,
            initialized: true
        };
        return;
    }

    if (!deps.length)
        // If there is no dependencies, we inject "require", "exports" and
        // "module" as dependencies, to provide CommonJS compatibility.
        deps = ["require", "exports", "module"];

    var req = function(childId) {
        return window.require(id, childId);
    };

    window.require.modules[id] = {
        exports: {},
        factory: function() {
            var module = this;
            var returnExports = factory.apply(this, deps.slice(0, factory.length).map(function(dep) {
                switch (dep) {
                    // Because "require", "exports" and "module" aren't actual
                    // dependencies, we must handle them seperately.
                    case "require": return req;
                    case "exports": return module.exports;
                    case "module":  return module;
                    // But for all other dependencies, we can just go ahead and
                    // require them.
                    default:        return req(dep);
                }
            }));
            if (returnExports)
                module.exports = returnExports;
            return module;
        }
    };
};
window.define.amd = {};
require.tlns = {};
window.initBaseUrls  = function initBaseUrls(topLevelNamespaces) {
    for (var i in topLevelNamespaces)
        require.tlns[i] = topLevelNamespaces[i];
};

window.initSender = function initSender() {

    var EventEmitter = window.require("ace/lib/event_emitter").EventEmitter;
    var oop = window.require("ace/lib/oop");
    
    var Sender = function() {};
    
    (function() {
        
        oop.implement(this, EventEmitter);
                
        this.callback = function(data, callbackId) {
            postMessage({
                type: "call",
                id: callbackId,
                data: data
            });
        };
    
        this.emit = function(name, data) {
            postMessage({
                type: "event",
                name: name,
                data: data
            });
        };
        
    }).call(Sender.prototype);
    
    return new Sender();
};

var main = window.main = null;
var sender = window.sender = null;

window.onmessage = function(e) {
    var msg = e.data;
    if (msg.event && sender) {
        sender._signal(msg.event, msg.data);
    }
    else if (msg.command) {
        if (main[msg.command])
            main[msg.command].apply(main, msg.args);
        else if (window[msg.command])
            window[msg.command].apply(window, msg.args);
        else
            throw new Error("Unknown command:" + msg.command);
    }
    else if (msg.init) {
        window.initBaseUrls(msg.tlns);
        sender = window.sender = window.initSender();
        var clazz = require(msg.module)[msg.classname];
        main = window.main = new clazz(sender);
    }
};
})(this);

ace.define("ace/lib/oop",[], function(require, exports, module) {
"use strict";

exports.inherits = function(ctor, superCtor) {
    ctor.super_ = superCtor;
    ctor.prototype = Object.create(superCtor.prototype, {
        constructor: {
            value: ctor,
            enumerable: false,
            writable: true,
            configurable: true
        }
    });
};

exports.mixin = function(obj, mixin) {
    for (var key in mixin) {
        obj[key] = mixin[key];
    }
    return obj;
};

exports.implement = function(proto, mixin) {
    exports.mixin(proto, mixin);
};

});

ace.define("ace/range",[], function(require, exports, module) {
"use strict";
var comparePoints = function(p1, p2) {
    return p1.row - p2.row || p1.column - p2.column;
};
var Range = function(startRow, startColumn, endRow, endColumn) {
    this.start = {
        row: startRow,
        column: startColumn
    };

    this.end = {
        row: endRow,
        column: endColumn
    };
};

(function() {
    this.isEqual = function(range) {
        return this.start.row === range.start.row &&
            this.end.row === range.end.row &&
            this.start.column === range.start.column &&
            this.end.column === range.end.column;
    };
    this.toString = function() {
        return ("Range: [" + this.start.row + "/" + this.start.column +
            "] -> [" + this.end.row + "/" + this.end.column + "]");
    };

    this.contains = function(row, column) {
        return this.compare(row, column) == 0;
    };
    this.compareRange = function(range) {
        var cmp,
            end = range.end,
            start = range.start;

        cmp = this.compare(end.row, end.column);
        if (cmp == 1) {
            cmp = this.compare(start.row, start.column);
            if (cmp == 1) {
                return 2;
            } else if (cmp == 0) {
                return 1;
            } else {
                return 0;
            }
        } else if (cmp == -1) {
            return -2;
        } else {
            cmp = this.compare(start.row, start.column);
            if (cmp == -1) {
                return -1;
            } else if (cmp == 1) {
                return 42;
            } else {
                return 0;
            }
        }
    };
    this.comparePoint = function(p) {
        return this.compare(p.row, p.column);
    };
    this.containsRange = function(range) {
        return this.comparePoint(range.start) == 0 && this.comparePoint(range.end) == 0;
    };
    this.intersects = function(range) {
        var cmp = this.compareRange(range);
        return (cmp == -1 || cmp == 0 || cmp == 1);
    };
    this.isEnd = function(row, column) {
        return this.end.row == row && this.end.column == column;
    };
    this.isStart = function(row, column) {
        return this.start.row == row && this.start.column == column;
    };
    this.setStart = function(row, column) {
        if (typeof row == "object") {
            this.start.column = row.column;
            this.start.row = row.row;
        } else {
            this.start.row = row;
            this.start.column = column;
        }
    };
    this.setEnd = function(row, column) {
        if (typeof row == "object") {
            this.end.column = row.column;
            this.end.row = row.row;
        } else {
            this.end.row = row;
            this.end.column = column;
        }
    };
    this.inside = function(row, column) {
        if (this.compare(row, column) == 0) {
            if (this.isEnd(row, column) || this.isStart(row, column)) {
                return false;
            } else {
                return true;
            }
        }
        return false;
    };
    this.insideStart = function(row, column) {
        if (this.compare(row, column) == 0) {
            if (this.isEnd(row, column)) {
                return false;
            } else {
                return true;
            }
        }
        return false;
    };
    this.insideEnd = function(row, column) {
        if (this.compare(row, column) == 0) {
            if (this.isStart(row, column)) {
                return false;
            } else {
                return true;
            }
        }
        return false;
    };
    this.compare = function(row, column) {
        if (!this.isMultiLine()) {
            if (row === this.start.row) {
                return column < this.start.column ? -1 : (column > this.end.column ? 1 : 0);
            }
        }

        if (row < this.start.row)
            return -1;

        if (row > this.end.row)
            return 1;

        if (this.start.row === row)
            return column >= this.start.column ? 0 : -1;

        if (this.end.row === row)
            return column <= this.end.column ? 0 : 1;

        return 0;
    };
    this.compareStart = function(row, column) {
        if (this.start.row == row && this.start.column == column) {
            return -1;
        } else {
            return this.compare(row, column);
        }
    };
    this.compareEnd = function(row, column) {
        if (this.end.row == row && this.end.column == column) {
            return 1;
        } else {
            return this.compare(row, column);
        }
    };
    this.compareInside = function(row, column) {
        if (this.end.row == row && this.end.column == column) {
            return 1;
        } else if (this.start.row == row && this.start.column == column) {
            return -1;
        } else {
            return this.compare(row, column);
        }
    };
    this.clipRows = function(firstRow, lastRow) {
        if (this.end.row > lastRow)
            var end = {row: lastRow + 1, column: 0};
        else if (this.end.row < firstRow)
            var end = {row: firstRow, column: 0};

        if (this.start.row > lastRow)
            var start = {row: lastRow + 1, column: 0};
        else if (this.start.row < firstRow)
            var start = {row: firstRow, column: 0};

        return Range.fromPoints(start || this.start, end || this.end);
    };
    this.extend = function(row, column) {
        var cmp = this.compare(row, column);

        if (cmp == 0)
            return this;
        else if (cmp == -1)
            var start = {row: row, column: column};
        else
            var end = {row: row, column: column};

        return Range.fromPoints(start || this.start, end || this.end);
    };

    this.isEmpty = function() {
        return (this.start.row === this.end.row && this.start.column === this.end.column);
    };
    this.isMultiLine = function() {
        return (this.start.row !== this.end.row);
    };
    this.clone = function() {
        return Range.fromPoints(this.start, this.end);
    };
    this.collapseRows = function() {
        if (this.end.column == 0)
            return new Range(this.start.row, 0, Math.max(this.start.row, this.end.row-1), 0);
        else
            return new Range(this.start.row, 0, this.end.row, 0);
    };
    this.toScreenRange = function(session) {
        var screenPosStart = session.documentToScreenPosition(this.start);
        var screenPosEnd = session.documentToScreenPosition(this.end);

        return new Range(
            screenPosStart.row, screenPosStart.column,
            screenPosEnd.row, screenPosEnd.column
        );
    };
    this.moveBy = function(row, column) {
        this.start.row += row;
        this.start.column += column;
        this.end.row += row;
        this.end.column += column;
    };

}).call(Range.prototype);
Range.fromPoints = function(start, end) {
    return new Range(start.row, start.column, end.row, end.column);
};
Range.comparePoints = comparePoints;

Range.comparePoints = function(p1, p2) {
    return p1.row - p2.row || p1.column - p2.column;
};


exports.Range = Range;
});

ace.define("ace/apply_delta",[], function(require, exports, module) {
"use strict";

function throwDeltaError(delta, errorText){
    console.log("Invalid Delta:", delta);
    throw "Invalid Delta: " + errorText;
}

function positionInDocument(docLines, position) {
    return position.row    >= 0 && position.row    <  docLines.length &&
           position.column >= 0 && position.column <= docLines[position.row].length;
}

function validateDelta(docLines, delta) {
    if (delta.action != "insert" && delta.action != "remove")
        throwDeltaError(delta, "delta.action must be 'insert' or 'remove'");
    if (!(delta.lines instanceof Array))
        throwDeltaError(delta, "delta.lines must be an Array");
    if (!delta.start || !delta.end)
       throwDeltaError(delta, "delta.start/end must be an present");
    var start = delta.start;
    if (!positionInDocument(docLines, delta.start))
        throwDeltaError(delta, "delta.start must be contained in document");
    var end = delta.end;
    if (delta.action == "remove" && !positionInDocument(docLines, end))
        throwDeltaError(delta, "delta.end must contained in document for 'remove' actions");
    var numRangeRows = end.row - start.row;
    var numRangeLastLineChars = (end.column - (numRangeRows == 0 ? start.column : 0));
    if (numRangeRows != delta.lines.length - 1 || delta.lines[numRangeRows].length != numRangeLastLineChars)
        throwDeltaError(delta, "delta.range must match delta lines");
}

exports.applyDelta = function(docLines, delta, doNotValidate) {
    
    var row = delta.start.row;
    var startColumn = delta.start.column;
    var line = docLines[row] || "";
    switch (delta.action) {
        case "insert":
            var lines = delta.lines;
            if (lines.length === 1) {
                docLines[row] = line.substring(0, startColumn) + delta.lines[0] + line.substring(startColumn);
            } else {
                var args = [row, 1].concat(delta.lines);
                docLines.splice.apply(docLines, args);
                docLines[row] = line.substring(0, startColumn) + docLines[row];
                docLines[row + delta.lines.length - 1] += line.substring(startColumn);
            }
            break;
        case "remove":
            var endColumn = delta.end.column;
            var endRow = delta.end.row;
            if (row === endRow) {
                docLines[row] = line.substring(0, startColumn) + line.substring(endColumn);
            } else {
                docLines.splice(
                    row, endRow - row + 1,
                    line.substring(0, startColumn) + docLines[endRow].substring(endColumn)
                );
            }
            break;
    }
};
});

ace.define("ace/lib/event_emitter",[], function(require, exports, module) {
"use strict";

var EventEmitter = {};
var stopPropagation = function() { this.propagationStopped = true; };
var preventDefault = function() { this.defaultPrevented = true; };

EventEmitter._emit =
EventEmitter._dispatchEvent = function(eventName, e) {
    this._eventRegistry || (this._eventRegistry = {});
    this._defaultHandlers || (this._defaultHandlers = {});

    var listeners = this._eventRegistry[eventName] || [];
    var defaultHandler = this._defaultHandlers[eventName];
    if (!listeners.length && !defaultHandler)
        return;

    if (typeof e != "object" || !e)
        e = {};

    if (!e.type)
        e.type = eventName;
    if (!e.stopPropagation)
        e.stopPropagation = stopPropagation;
    if (!e.preventDefault)
        e.preventDefault = preventDefault;

    listeners = listeners.slice();
    for (var i=0; i<listeners.length; i++) {
        listeners[i](e, this);
        if (e.propagationStopped)
            break;
    }
    
    if (defaultHandler && !e.defaultPrevented)
        return defaultHandler(e, this);
};


EventEmitter._signal = function(eventName, e) {
    var listeners = (this._eventRegistry || {})[eventName];
    if (!listeners)
        return;
    listeners = listeners.slice();
    for (var i=0; i<listeners.length; i++)
        listeners[i](e, this);
};

EventEmitter.once = function(eventName, callback) {
    var _self = this;
    this.on(eventName, function newCallback() {
        _self.off(eventName, newCallback);
        callback.apply(null, arguments);
    });
    if (!callback) {
        return new Promise(function(resolve) {
            callback = resolve;
        });
    }
};


EventEmitter.setDefaultHandler = function(eventName, callback) {
    var handlers = this._defaultHandlers;
    if (!handlers)
        handlers = this._defaultHandlers = {_disabled_: {}};
    
    if (handlers[eventName]) {
        var old = handlers[eventName];
        var disabled = handlers._disabled_[eventName];
        if (!disabled)
            handlers._disabled_[eventName] = disabled = [];
        disabled.push(old);
        var i = disabled.indexOf(callback);
        if (i != -1) 
            disabled.splice(i, 1);
    }
    handlers[eventName] = callback;
};
EventEmitter.removeDefaultHandler = function(eventName, callback) {
    var handlers = this._defaultHandlers;
    if (!handlers)
        return;
    var disabled = handlers._disabled_[eventName];
    
    if (handlers[eventName] == callback) {
        if (disabled)
            this.setDefaultHandler(eventName, disabled.pop());
    } else if (disabled) {
        var i = disabled.indexOf(callback);
        if (i != -1)
            disabled.splice(i, 1);
    }
};

EventEmitter.on =
EventEmitter.addEventListener = function(eventName, callback, capturing) {
    this._eventRegistry = this._eventRegistry || {};

    var listeners = this._eventRegistry[eventName];
    if (!listeners)
        listeners = this._eventRegistry[eventName] = [];

    if (listeners.indexOf(callback) == -1)
        listeners[capturing ? "unshift" : "push"](callback);
    return callback;
};

EventEmitter.off =
EventEmitter.removeListener =
EventEmitter.removeEventListener = function(eventName, callback) {
    this._eventRegistry = this._eventRegistry || {};

    var listeners = this._eventRegistry[eventName];
    if (!listeners)
        return;

    var index = listeners.indexOf(callback);
    if (index !== -1)
        listeners.splice(index, 1);
};

EventEmitter.removeAllListeners = function(eventName) {
    if (!eventName) this._eventRegistry = this._defaultHandlers = undefined;
    if (this._eventRegistry) this._eventRegistry[eventName] = undefined;
    if (this._defaultHandlers) this._defaultHandlers[eventName] = undefined;
};

exports.EventEmitter = EventEmitter;

});

ace.define("ace/anchor",[], function(require, exports, module) {
"use strict";

var oop = require("./lib/oop");
var EventEmitter = require("./lib/event_emitter").EventEmitter;

var Anchor = exports.Anchor = function(doc, row, column) {
    this.$onChange = this.onChange.bind(this);
    this.attach(doc);
    
    if (typeof column == "undefined")
        this.setPosition(row.row, row.column);
    else
        this.setPosition(row, column);
};

(function() {

    oop.implement(this, EventEmitter);
    this.getPosition = function() {
        return this.$clipPositionToDocument(this.row, this.column);
    };
    this.getDocument = function() {
        return this.document;
    };
    this.$insertRight = false;
    this.onChange = function(delta) {
        if (delta.start.row == delta.end.row && delta.start.row != this.row)
            return;

        if (delta.start.row > this.row)
            return;
            
        var point = $getTransformedPoint(delta, {row: this.row, column: this.column}, this.$insertRight);
        this.setPosition(point.row, point.column, true);
    };
    
    function $pointsInOrder(point1, point2, equalPointsInOrder) {
        var bColIsAfter = equalPointsInOrder ? point1.column <= point2.column : point1.column < point2.column;
        return (point1.row < point2.row) || (point1.row == point2.row && bColIsAfter);
    }
            
    function $getTransformedPoint(delta, point, moveIfEqual) {
        var deltaIsInsert = delta.action == "insert";
        var deltaRowShift = (deltaIsInsert ? 1 : -1) * (delta.end.row    - delta.start.row);
        var deltaColShift = (deltaIsInsert ? 1 : -1) * (delta.end.column - delta.start.column);
        var deltaStart = delta.start;
        var deltaEnd = deltaIsInsert ? deltaStart : delta.end; // Collapse insert range.
        if ($pointsInOrder(point, deltaStart, moveIfEqual)) {
            return {
                row: point.row,
                column: point.column
            };
        }
        if ($pointsInOrder(deltaEnd, point, !moveIfEqual)) {
            return {
                row: point.row + deltaRowShift,
                column: point.column + (point.row == deltaEnd.row ? deltaColShift : 0)
            };
        }
        
        return {
            row: deltaStart.row,
            column: deltaStart.column
        };
    }
    this.setPosition = function(row, column, noClip) {
        var pos;
        if (noClip) {
            pos = {
                row: row,
                column: column
            };
        } else {
            pos = this.$clipPositionToDocument(row, column);
        }

        if (this.row == pos.row && this.column == pos.column)
            return;

        var old = {
            row: this.row,
            column: this.column
        };

        this.row = pos.row;
        this.column = pos.column;
        this._signal("change", {
            old: old,
            value: pos
        });
    };
    this.detach = function() {
        this.document.off("change", this.$onChange);
    };
    this.attach = function(doc) {
        this.document = doc || this.document;
        this.document.on("change", this.$onChange);
    };
    this.$clipPositionToDocument = function(row, column) {
        var pos = {};

        if (row >= this.document.getLength()) {
            pos.row = Math.max(0, this.document.getLength() - 1);
            pos.column = this.document.getLine(pos.row).length;
        }
        else if (row < 0) {
            pos.row = 0;
            pos.column = 0;
        }
        else {
            pos.row = row;
            pos.column = Math.min(this.document.getLine(pos.row).length, Math.max(0, column));
        }

        if (column < 0)
            pos.column = 0;

        return pos;
    };

}).call(Anchor.prototype);

});

ace.define("ace/document",[], function(require, exports, module) {
"use strict";

var oop = require("./lib/oop");
var applyDelta = require("./apply_delta").applyDelta;
var EventEmitter = require("./lib/event_emitter").EventEmitter;
var Range = require("./range").Range;
var Anchor = require("./anchor").Anchor;

var Document = function(textOrLines) {
    this.$lines = [""];
    if (textOrLines.length === 0) {
        this.$lines = [""];
    } else if (Array.isArray(textOrLines)) {
        this.insertMergedLines({row: 0, column: 0}, textOrLines);
    } else {
        this.insert({row: 0, column:0}, textOrLines);
    }
};

(function() {

    oop.implement(this, EventEmitter);
    this.setValue = function(text) {
        var len = this.getLength() - 1;
        this.remove(new Range(0, 0, len, this.getLine(len).length));
        this.insert({row: 0, column: 0}, text);
    };
    this.getValue = function() {
        return this.getAllLines().join(this.getNewLineCharacter());
    };
    this.createAnchor = function(row, column) {
        return new Anchor(this, row, column);
    };
    if ("aaa".split(/a/).length === 0) {
        this.$split = function(text) {
            return text.replace(/\r\n|\r/g, "\n").split("\n");
        };
    } else {
        this.$split = function(text) {
            return text.split(/\r\n|\r|\n/);
        };
    }


    this.$detectNewLine = function(text) {
        var match = text.match(/^.*?(\r\n|\r|\n)/m);
        this.$autoNewLine = match ? match[1] : "\n";
        this._signal("changeNewLineMode");
    };
    this.getNewLineCharacter = function() {
        switch (this.$newLineMode) {
          case "windows":
            return "\r\n";
          case "unix":
            return "\n";
          default:
            return this.$autoNewLine || "\n";
        }
    };

    this.$autoNewLine = "";
    this.$newLineMode = "auto";
    this.setNewLineMode = function(newLineMode) {
        if (this.$newLineMode === newLineMode)
            return;

        this.$newLineMode = newLineMode;
        this._signal("changeNewLineMode");
    };
    this.getNewLineMode = function() {
        return this.$newLineMode;
    };
    this.isNewLine = function(text) {
        return (text == "\r\n" || text == "\r" || text == "\n");
    };
    this.getLine = function(row) {
        return this.$lines[row] || "";
    };
    this.getLines = function(firstRow, lastRow) {
        return this.$lines.slice(firstRow, lastRow + 1);
    };
    this.getAllLines = function() {
        return this.getLines(0, this.getLength());
    };
    this.getLength = function() {
        return this.$lines.length;
    };
    this.getTextRange = function(range) {
        return this.getLinesForRange(range).join(this.getNewLineCharacter());
    };
    this.getLinesForRange = function(range) {
        var lines;
        if (range.start.row === range.end.row) {
            lines = [this.getLine(range.start.row).substring(range.start.column, range.end.column)];
        } else {
            lines = this.getLines(range.start.row, range.end.row);
            lines[0] = (lines[0] || "").substring(range.start.column);
            var l = lines.length - 1;
            if (range.end.row - range.start.row == l)
                lines[l] = lines[l].substring(0, range.end.column);
        }
        return lines;
    };
    this.insertLines = function(row, lines) {
        console.warn("Use of document.insertLines is deprecated. Use the insertFullLines method instead.");
        return this.insertFullLines(row, lines);
    };
    this.removeLines = function(firstRow, lastRow) {
        console.warn("Use of document.removeLines is deprecated. Use the removeFullLines method instead.");
        return this.removeFullLines(firstRow, lastRow);
    };
    this.insertNewLine = function(position) {
        console.warn("Use of document.insertNewLine is deprecated. Use insertMergedLines(position, ['', '']) instead.");
        return this.insertMergedLines(position, ["", ""]);
    };
    this.insert = function(position, text) {
        if (this.getLength() <= 1)
            this.$detectNewLine(text);
        
        return this.insertMergedLines(position, this.$split(text));
    };
    this.insertInLine = function(position, text) {
        var start = this.clippedPos(position.row, position.column);
        var end = this.pos(position.row, position.column + text.length);
        
        this.applyDelta({
            start: start,
            end: end,
            action: "insert",
            lines: [text]
        }, true);
        
        return this.clonePos(end);
    };
    
    this.clippedPos = function(row, column) {
        var length = this.getLength();
        if (row === undefined) {
            row = length;
        } else if (row < 0) {
            row = 0;
        } else if (row >= length) {
            row = length - 1;
            column = undefined;
        }
        var line = this.getLine(row);
        if (column == undefined)
            column = line.length;
        column = Math.min(Math.max(column, 0), line.length);
        return {row: row, column: column};
    };
    
    this.clonePos = function(pos) {
        return {row: pos.row, column: pos.column};
    };
    
    this.pos = function(row, column) {
        return {row: row, column: column};
    };
    
    this.$clipPosition = function(position) {
        var length = this.getLength();
        if (position.row >= length) {
            position.row = Math.max(0, length - 1);
            position.column = this.getLine(length - 1).length;
        } else {
            position.row = Math.max(0, position.row);
            position.column = Math.min(Math.max(position.column, 0), this.getLine(position.row).length);
        }
        return position;
    };
    this.insertFullLines = function(row, lines) {
        row = Math.min(Math.max(row, 0), this.getLength());
        var column = 0;
        if (row < this.getLength()) {
            lines = lines.concat([""]);
            column = 0;
        } else {
            lines = [""].concat(lines);
            row--;
            column = this.$lines[row].length;
        }
        this.insertMergedLines({row: row, column: column}, lines);
    };    
    this.insertMergedLines = function(position, lines) {
        var start = this.clippedPos(position.row, position.column);
        var end = {
            row: start.row + lines.length - 1,
            column: (lines.length == 1 ? start.column : 0) + lines[lines.length - 1].length
        };
        
        this.applyDelta({
            start: start,
            end: end,
            action: "insert",
            lines: lines
        });
        
        return this.clonePos(end);
    };
    this.remove = function(range) {
        var start = this.clippedPos(range.start.row, range.start.column);
        var end = this.clippedPos(range.end.row, range.end.column);
        this.applyDelta({
            start: start,
            end: end,
            action: "remove",
            lines: this.getLinesForRange({start: start, end: end})
        });
        return this.clonePos(start);
    };
    this.removeInLine = function(row, startColumn, endColumn) {
        var start = this.clippedPos(row, startColumn);
        var end = this.clippedPos(row, endColumn);
        
        this.applyDelta({
            start: start,
            end: end,
            action: "remove",
            lines: this.getLinesForRange({start: start, end: end})
        }, true);
        
        return this.clonePos(start);
    };
    this.removeFullLines = function(firstRow, lastRow) {
        firstRow = Math.min(Math.max(0, firstRow), this.getLength() - 1);
        lastRow  = Math.min(Math.max(0, lastRow ), this.getLength() - 1);
        var deleteFirstNewLine = lastRow == this.getLength() - 1 && firstRow > 0;
        var deleteLastNewLine  = lastRow  < this.getLength() - 1;
        var startRow = ( deleteFirstNewLine ? firstRow - 1                  : firstRow                    );
        var startCol = ( deleteFirstNewLine ? this.getLine(startRow).length : 0                           );
        var endRow   = ( deleteLastNewLine  ? lastRow + 1                   : lastRow                     );
        var endCol   = ( deleteLastNewLine  ? 0                             : this.getLine(endRow).length ); 
        var range = new Range(startRow, startCol, endRow, endCol);
        var deletedLines = this.$lines.slice(firstRow, lastRow + 1);
        
        this.applyDelta({
            start: range.start,
            end: range.end,
            action: "remove",
            lines: this.getLinesForRange(range)
        });
        return deletedLines;
    };
    this.removeNewLine = function(row) {
        if (row < this.getLength() - 1 && row >= 0) {
            this.applyDelta({
                start: this.pos(row, this.getLine(row).length),
                end: this.pos(row + 1, 0),
                action: "remove",
                lines: ["", ""]
            });
        }
    };
    this.replace = function(range, text) {
        if (!(range instanceof Range))
            range = Range.fromPoints(range.start, range.end);
        if (text.length === 0 && range.isEmpty())
            return range.start;
        if (text == this.getTextRange(range))
            return range.end;

        this.remove(range);
        var end;
        if (text) {
            end = this.insert(range.start, text);
        }
        else {
            end = range.start;
        }
        
        return end;
    };
    this.applyDeltas = function(deltas) {
        for (var i=0; i<deltas.length; i++) {
            this.applyDelta(deltas[i]);
        }
    };
    this.revertDeltas = function(deltas) {
        for (var i=deltas.length-1; i>=0; i--) {
            this.revertDelta(deltas[i]);
        }
    };
    this.applyDelta = function(delta, doNotValidate) {
        var isInsert = delta.action == "insert";
        if (isInsert ? delta.lines.length <= 1 && !delta.lines[0]
            : !Range.comparePoints(delta.start, delta.end)) {
            return;
        }
        
        if (isInsert && delta.lines.length > 20000) {
            this.$splitAndapplyLargeDelta(delta, 20000);
        }
        else {
            applyDelta(this.$lines, delta, doNotValidate);
            this._signal("change", delta);
        }
    };
    
    this.$safeApplyDelta = function(delta) {
        var docLength = this.$lines.length;
        if (
            delta.action == "remove" && delta.start.row < docLength && delta.end.row < docLength
            || delta.action == "insert" && delta.start.row <= docLength
        ) {
            this.applyDelta(delta);
        }
    };
    
    this.$splitAndapplyLargeDelta = function(delta, MAX) {
        var lines = delta.lines;
        var l = lines.length - MAX + 1;
        var row = delta.start.row; 
        var column = delta.start.column;
        for (var from = 0, to = 0; from < l; from = to) {
            to += MAX - 1;
            var chunk = lines.slice(from, to);
            chunk.push("");
            this.applyDelta({
                start: this.pos(row + from, column),
                end: this.pos(row + to, column = 0),
                action: delta.action,
                lines: chunk
            }, true);
        }
        delta.lines = lines.slice(from);
        delta.start.row = row + from;
        delta.start.column = column;
        this.applyDelta(delta, true);
    };
    this.revertDelta = function(delta) {
        this.$safeApplyDelta({
            start: this.clonePos(delta.start),
            end: this.clonePos(delta.end),
            action: (delta.action == "insert" ? "remove" : "insert"),
            lines: delta.lines.slice()
        });
    };
    this.indexToPosition = function(index, startRow) {
        var lines = this.$lines || this.getAllLines();
        var newlineLength = this.getNewLineCharacter().length;
        for (var i = startRow || 0, l = lines.length; i < l; i++) {
            index -= lines[i].length + newlineLength;
            if (index < 0)
                return {row: i, column: index + lines[i].length + newlineLength};
        }
        return {row: l-1, column: index + lines[l-1].length + newlineLength};
    };
    this.positionToIndex = function(pos, startRow) {
        var lines = this.$lines || this.getAllLines();
        var newlineLength = this.getNewLineCharacter().length;
        var index = 0;
        var row = Math.min(pos.row, lines.length);
        for (var i = startRow || 0; i < row; ++i)
            index += lines[i].length + newlineLength;

        return index + pos.column;
    };

}).call(Document.prototype);

exports.Document = Document;
});

ace.define("ace/lib/lang",[], function(require, exports, module) {
"use strict";

exports.last = function(a) {
    return a[a.length - 1];
};

exports.stringReverse = function(string) {
    return string.split("").reverse().join("");
};

exports.stringRepeat = function (string, count) {
    var result = '';
    while (count > 0) {
        if (count & 1)
            result += string;

        if (count >>= 1)
            string += string;
    }
    return result;
};

var trimBeginRegexp = /^\s\s*/;
var trimEndRegexp = /\s\s*$/;

exports.stringTrimLeft = function (string) {
    return string.replace(trimBeginRegexp, '');
};

exports.stringTrimRight = function (string) {
    return string.replace(trimEndRegexp, '');
};

exports.copyObject = function(obj) {
    var copy = {};
    for (var key in obj) {
        copy[key] = obj[key];
    }
    return copy;
};

exports.copyArray = function(array){
    var copy = [];
    for (var i=0, l=array.length; i<l; i++) {
        if (array[i] && typeof array[i] == "object")
            copy[i] = this.copyObject(array[i]);
        else 
            copy[i] = array[i];
    }
    return copy;
};

exports.deepCopy = function deepCopy(obj) {
    if (typeof obj !== "object" || !obj)
        return obj;
    var copy;
    if (Array.isArray(obj)) {
        copy = [];
        for (var key = 0; key < obj.length; key++) {
            copy[key] = deepCopy(obj[key]);
        }
        return copy;
    }
    if (Object.prototype.toString.call(obj) !== "[object Object]")
        return obj;
    
    copy = {};
    for (var key in obj)
        copy[key] = deepCopy(obj[key]);
    return copy;
};

exports.arrayToMap = function(arr) {
    var map = {};
    for (var i=0; i<arr.length; i++) {
        map[arr[i]] = 1;
    }
    return map;

};

exports.createMap = function(props) {
    var map = Object.create(null);
    for (var i in props) {
        map[i] = props[i];
    }
    return map;
};
exports.arrayRemove = function(array, value) {
  for (var i = 0; i <= array.length; i++) {
    if (value === array[i]) {
      array.splice(i, 1);
    }
  }
};

exports.escapeRegExp = function(str) {
    return str.replace(/([.*+?^${}()|[\]\/\\])/g, '\\$1');
};

exports.escapeHTML = function(str) {
    return ("" + str).replace(/&/g, "&#38;").replace(/"/g, "&#34;").replace(/'/g, "&#39;").replace(/</g, "&#60;");
};

exports.getMatchOffsets = function(string, regExp) {
    var matches = [];

    string.replace(regExp, function(str) {
        matches.push({
            offset: arguments[arguments.length-2],
            length: str.length
        });
    });

    return matches;
};
exports.deferredCall = function(fcn) {
    var timer = null;
    var callback = function() {
        timer = null;
        fcn();
    };

    var deferred = function(timeout) {
        deferred.cancel();
        timer = setTimeout(callback, timeout || 0);
        return deferred;
    };

    deferred.schedule = deferred;

    deferred.call = function() {
        this.cancel();
        fcn();
        return deferred;
    };

    deferred.cancel = function() {
        clearTimeout(timer);
        timer = null;
        return deferred;
    };
    
    deferred.isPending = function() {
        return timer;
    };

    return deferred;
};


exports.delayedCall = function(fcn, defaultTimeout) {
    var timer = null;
    var callback = function() {
        timer = null;
        fcn();
    };

    var _self = function(timeout) {
        if (timer == null)
            timer = setTimeout(callback, timeout || defaultTimeout);
    };

    _self.delay = function(timeout) {
        timer && clearTimeout(timer);
        timer = setTimeout(callback, timeout || defaultTimeout);
    };
    _self.schedule = _self;

    _self.call = function() {
        this.cancel();
        fcn();
    };

    _self.cancel = function() {
        timer && clearTimeout(timer);
        timer = null;
    };

    _self.isPending = function() {
        return timer;
    };

    return _self;
};
});

ace.define("ace/worker/mirror",[], function(require, exports, module) {
"use strict";

var Range = require("../range").Range;
var Document = require("../document").Document;
var lang = require("../lib/lang");
    
var Mirror = exports.Mirror = function(sender) {
    this.sender = sender;
    var doc = this.doc = new Document("");
    
    var deferredUpdate = this.deferredUpdate = lang.delayedCall(this.onUpdate.bind(this));
    
    var _self = this;
    sender.on("change", function(e) {
        var data = e.data;
        if (data[0].start) {
            doc.applyDeltas(data);
        } else {
            for (var i = 0; i < data.length; i += 2) {
                if (Array.isArray(data[i+1])) {
                    var d = {action: "insert", start: data[i], lines: data[i+1]};
                } else {
                    var d = {action: "remove", start: data[i], end: data[i+1]};
                }
                doc.applyDelta(d, true);
            }
        }
        if (_self.$timeout)
            return deferredUpdate.schedule(_self.$timeout);
        _self.onUpdate();
    });
};

(function() {
    
    this.$timeout = 500;
    
    this.setTimeout = function(timeout) {
        this.$timeout = timeout;
    };
    
    this.setValue = function(value) {
        this.doc.setValue(value);
        this.deferredUpdate.schedule(this.$timeout);
    };
    
    this.getValue = function(callbackId) {
        this.sender.callback(this.doc.getValue(), callbackId);
    };
    
    this.onUpdate = function() {
    };
    
    this.isPending = function() {
        return this.deferredUpdate.isPending();
    };
    
}).call(Mirror.prototype);

});

ace.define("ace/mode/json/json_parse",[], function(require, exports, module) {
"use strict";

    var at,     // The index of the current character
        ch,     // The current character
        escapee = {
            '"':  '"',
            '\\': '\\',
            '/':  '/',
            b:    '\b',
            f:    '\f',
            n:    '\n',
            r:    '\r',
            t:    '\t'
        },
        text,

        error = function (m) {

            throw {
                name:    'SyntaxError',
                message: m,
                at:      at,
                text:    text
            };
        },

        next = function (c) {

            if (c && c !== ch) {
                error("Expected '" + c + "' instead of '" + ch + "'");
            }

            ch = text.charAt(at);
            at += 1;
            return ch;
        },

        number = function () {

            var number,
                string = '';

            if (ch === '-') {
                string = '-';
                next('-');
            }
            while (ch >= '0' && ch <= '9') {
                string += ch;
                next();
            }
            if (ch === '.') {
                string += '.';
                while (next() && ch >= '0' && ch <= '9') {
                    string += ch;
                }
            }
            if (ch === 'e' || ch === 'E') {
                string += ch;
                next();
                if (ch === '-' || ch === '+') {
                    string += ch;
                    next();
                }
                while (ch >= '0' && ch <= '9') {
                    string += ch;
                    next();
                }
            }
            number = +string;
            if (isNaN(number)) {
                error("Bad number");
            } else {
                return number;
            }
        },

        string = function () {

            var hex,
                i,
                string = '',
                uffff;

            if (ch === '"') {
                while (next()) {
                    if (ch === '"') {
                        next();
                        return string;
                    } else if (ch === '\\') {
                        next();
                        if (ch === 'u') {
                            uffff = 0;
                            for (i = 0; i < 4; i += 1) {
                                hex = parseInt(next(), 16);
                                if (!isFinite(hex)) {
                                    break;
                                }
                                uffff = uffff * 16 + hex;
                            }
                            string += String.fromCharCode(uffff);
                        } else if (typeof escapee[ch] === 'string') {
                            string += escapee[ch];
                        } else {
                            break;
                        }
                    } else if (ch == "\n" || ch == "\r") {
                        break;
                    } else {
                        string += ch;
                    }
                }
            }
            error("Bad string");
        },

        white = function () {

            while (ch && ch <= ' ') {
                next();
            }
        },

        word = function () {

            switch (ch) {
            case 't':
                next('t');
                next('r');
                next('u');
                next('e');
                return true;
            case 'f':
                next('f');
                next('a');
                next('l');
                next('s');
                next('e');
                return false;
            case 'n':
                next('n');
                next('u');
                next('l');
                next('l');
                return null;
            }
            error("Unexpected '" + ch + "'");
        },

        value,  // Place holder for the value function.

        array = function () {

            var array = [];

            if (ch === '[') {
                next('[');
                white();
                if (ch === ']') {
                    next(']');
                    return array;   // empty array
                }
                while (ch) {
                    array.push(value());
                    white();
                    if (ch === ']') {
                        next(']');
                        return array;
                    }
                    next(',');
                    white();
                }
            }
            error("Bad array");
        },

        object = function () {

            var key,
                object = {};

            if (ch === '{') {
                next('{');
                white();
                if (ch === '}') {
                    next('}');
                    return object;   // empty object
                }
                while (ch) {
                    key = string();
                    white();
                    next(':');
                    if (Object.hasOwnProperty.call(object, key)) {
                        error('Duplicate key "' + key + '"');
                    }
                    object[key] = value();
                    white();
                    if (ch === '}') {
                        next('}');
                        return object;
                    }
                    next(',');
                    white();
                }
            }
            error("Bad object");
        };

    value = function () {

        white();
        switch (ch) {
        case '{':
            return object();
        case '[':
            return array();
        case '"':
            return string();
        case '-':
            return number();
        default:
            return ch >= '0' && ch <= '9' ? number() : word();
        }
    };

    return function (source, reviver) {
        var result;

        text = source;
        at = 0;
        ch = ' ';
        result = value();
        white();
        if (ch) {
            error("Syntax error");
        }

        return typeof reviver === 'function' ? function walk(holder, key) {
            var k, v, value = holder[key];
            if (value && typeof value === 'object') {
                for (k in value) {
                    if (Object.hasOwnProperty.call(value, k)) {
                        v = walk(value, k);
                        if (v !== undefined) {
                            value[k] = v;
                        } else {
                            delete value[k];
                        }
                    }
                }
            }
            return reviver.call(holder, key, value);
        }({'': result}, '') : result;
    };
});

ace.define("ace/mode/json_worker",[], function(require, exports, module) {
"use strict";

var oop = require("../lib/oop");
var Mirror = require("../worker/mirror").Mirror;
var parse = require("./json/json_parse");

var JsonWorker = exports.JsonWorker = function(sender) {
    Mirror.call(this, sender);
    this.setTimeout(200);
};

oop.inherits(JsonWorker, Mirror);

(function() {

    this.onUpdate = function() {
        var value = this.doc.getValue();
        var errors = [];
        try {
            if (value)
                parse(value);
        } catch (e) {
            var pos = this.doc.indexToPosition(e.at-1);
            errors.push({
                row: pos.row,
                column: pos.column,
                text: e.message,
                type: "error"
            });
        }
        this.sender.emit("annotate", errors);
    };

}).call(JsonWorker.prototype);

});
\"},7907:function(e,t,n){\"use strict\";n.d(t,{m0:function(){return a},cC:function(){return c},Iu:function(){return l}}),t=n(4987);var r=[\"en\",\"pt-BR\",\"zh-CN\",\"tr\",\"ja\",\"fr-FR\",\"de\"],i={en:{array:\"Array\",auto:\"Auto\",appendText:\"Append\",appendTitle:\"Append a new field with type 'auto' after this field (Ctrl+Shift+Ins)\",appendSubmenuTitle:\"Select the type of the field to be appended\",appendTitleAuto:\"Append a new field with type 'auto' (Ctrl+Shift+Ins)\",ascending:\"Ascending\",ascendingTitle:\"Sort the childs of this ${type} in ascending order\",actionsMenu:\"Click to open the actions menu (Ctrl+M)\",cannotParseFieldError:\"Cannot parse field into JSON\",cannotParseValueError:\"Cannot parse value into JSON\",collapseAll:\"Collapse all fields\",compactTitle:\"Compact JSON data, remove all whitespaces (Ctrl+Shift+\\\\)\",descending:\"Descending\",descendingTitle:\"Sort the childs of this ${type} in descending order\",drag:\"Drag to move this field (Alt+Shift+Arrows)\",duplicateKey:\"duplicate key\",duplicateText:\"Duplicate\",duplicateTitle:\"Duplicate selected fields (Ctrl+D)\",duplicateField:\"Duplicate this field (Ctrl+D)\",duplicateFieldError:\"Duplicate field name\",empty:\"empty\",expandAll:\"Expand all fields\",expandTitle:\"Click to expand/collapse this field (Ctrl+E). \\nCtrl+Click to expand/collapse including all childs.\",formatTitle:\"Format JSON data, with proper indentation and line feeds (Ctrl+\\\\)\",insert:\"Insert\",insertTitle:\"Insert a new field with type 'auto' before this field (Ctrl+Ins)\",insertSub:\"Select the type of the field to be inserted\",object:\"Object\",ok:\"Ok\",redo:\"Redo (Ctrl+Shift+Z)\",removeText:\"Remove\",removeTitle:\"Remove selected fields (Ctrl+Del)\",removeField:\"Remove this field (Ctrl+Del)\",repairTitle:\"Repair JSON: fix quotes and escape characters, remove comments and JSONP notation, turn JavaScript objects into JSON.\",searchTitle:\"Search fields and values\",searchNextResultTitle:\"Next result (Enter)\",searchPreviousResultTitle:\"Previous result (Shift + Enter)\",selectNode:\"Select a node...\",showAll:\"show all\",showMore:\"show more\",showMoreStatus:\"displaying ${visibleChilds} of ${totalChilds} items.\",sort:\"Sort\",sortTitle:\"Sort the childs of this ${type}\",sortTitleShort:\"Sort contents\",sortFieldLabel:\"Field:\",sortDirectionLabel:\"Direction:\",sortFieldTitle:\"Select the nested field by which to sort the array or object\",sortAscending:\"Ascending\",sortAscendingTitle:\"Sort the selected field in ascending order\",sortDescending:\"Descending\",sortDescendingTitle:\"Sort the selected field in descending order\",string:\"String\",transform:\"Transform\",transformTitle:\"Filter, sort, or transform the childs of this ${type}\",transformTitleShort:\"Filter, sort, or transform contents\",extract:\"Extract\",extractTitle:\"Extract this ${type}\",transformQueryTitle:\"Enter a JMESPath query\",transformWizardLabel:\"Wizard\",transformWizardFilter:\"Filter\",transformWizardSortBy:\"Sort by\",transformWizardSelectFields:\"Select fields\",transformQueryLabel:\"Query\",transformPreviewLabel:\"Preview\",type:\"Type\",typeTitle:\"Change the type of this field\",openUrl:\"Ctrl+Click or Ctrl+Enter to open url in new window\",undo:\"Undo last action (Ctrl+Z)\",validationCannotMove:\"Cannot move a field into a child of itself\",autoType:'Field type \"auto\". The field type is automatically determined from the value and can be a string, number, boolean, or null.',objectType:'Field type \"object\". An object contains an unordered set of key/value pairs.',arrayType:'Field type \"array\". An array contains an ordered collection of values.',stringType:'Field type \"string\". Field type is not determined from the value, but always returned as string.',modeEditorTitle:\"Switch Editor Mode\",modeCodeText:\"Code\",modeCodeTitle:\"Switch to code highlighter\",modeFormText:\"Form\",modeFormTitle:\"Switch to form editor\",modeTextText:\"Text\",modeTextTitle:\"Switch to plain text editor\",modeTreeText:\"Tree\",modeTreeTitle:\"Switch to tree editor\",modeViewText:\"View\",modeViewTitle:\"Switch to tree view\",modePreviewText:\"Preview\",modePreviewTitle:\"Switch to preview mode\",examples:\"Examples\",default:\"Default\",containsInvalidProperties:\"Contains invalid properties\",containsInvalidItems:\"Contains invalid items\"},\"zh-CN\":{array:\"\\u6570\\u7ec4\",auto:\"\\u81ea\\u52a8\",appendText:\"\\u8ffd\\u52a0\",appendTitle:\"\\u5728\\u6b64\\u5b57\\u6bb5\\u540e\\u8ffd\\u52a0\\u4e00\\u4e2a\\u7c7b\\u578b\\u4e3a\\u201cauto\\u201d\\u7684\\u65b0\\u5b57\\u6bb5 (Ctrl+Shift+Ins)\",appendSubmenuTitle:\"\\u9009\\u62e9\\u8981\\u8ffd\\u52a0\\u7684\\u5b57\\u6bb5\\u7c7b\\u578b\",appendTitleAuto:\"\\u8ffd\\u52a0\\u7c7b\\u578b\\u4e3a\\u201cauto\\u201d\\u7684\\u65b0\\u5b57\\u6bb5 (Ctrl+Shift+Ins)\",ascending:\"\\u5347\\u5e8f\",ascendingTitle:\"\\u5347\\u5e8f\\u6392\\u5217${type}\\u7684\\u5b50\\u8282\\u70b9\",actionsMenu:\"\\u70b9\\u51fb\\u6253\\u5f00\\u52a8\\u4f5c\\u83dc\\u5355(Ctrl+M)\",cannotParseFieldError:\"\\u65e0\\u6cd5\\u5c06\\u5b57\\u6bb5\\u89e3\\u6790\\u4e3aJSON\",cannotParseValueError:\"\\u65e0\\u6cd5\\u5c06\\u503c\\u89e3\\u6790\\u4e3aJSON\",collapseAll:\"\\u7f29\\u8fdb\\u6240\\u6709\\u5b57\\u6bb5\",compactTitle:\"\\u538b\\u7f29JSON\\u6570\\u636e\\uff0c\\u5220\\u9664\\u6240\\u6709\\u7a7a\\u683c (Ctrl+Shift+\\\\)\",descending:\"\\u964d\\u5e8f\",descendingTitle:\"\\u964d\\u5e8f\\u6392\\u5217${type}\\u7684\\u5b50\\u8282\\u70b9\",drag:\"\\u62d6\\u62fd\\u79fb\\u52a8\\u8be5\\u8282\\u70b9(Alt+Shift+Arrows)\",duplicateKey:\"\\u91cd\\u590d\\u952e\",duplicateText:\"\\u590d\\u5236\",duplicateTitle:\"\\u590d\\u5236\\u9009\\u4e2d\\u5b57\\u6bb5(Ctrl+D)\",duplicateField:\"\\u590d\\u5236\\u8be5\\u5b57\\u6bb5(Ctrl+D)\",duplicateFieldError:\"\\u91cd\\u590d\\u7684\\u5b57\\u6bb5\\u540d\\u79f0\",empty:\"\\u6e05\\u7a7a\",expandAll:\"\\u5c55\\u5f00\\u6240\\u6709\\u5b57\\u6bb5\",expandTitle:\"\\u70b9\\u51fb \\u5c55\\u5f00/\\u6536\\u7f29 \\u8be5\\u5b57\\u6bb5(Ctrl+E). \\nCtrl+Click \\u5c55\\u5f00/\\u6536\\u7f29 \\u5305\\u542b\\u6240\\u6709\\u5b50\\u8282\\u70b9.\",formatTitle:\"\\u4f7f\\u7528\\u9002\\u5f53\\u7684\\u7f29\\u8fdb\\u548c\\u6362\\u884c\\u7b26\\u683c\\u5f0f\\u5316JSON\\u6570\\u636e (Ctrl+\\\\)\",insert:\"\\u63d2\\u5165\",insertTitle:\"\\u5728\\u6b64\\u5b57\\u6bb5\\u524d\\u63d2\\u5165\\u7c7b\\u578b\\u4e3a\\u201cauto\\u201d\\u7684\\u65b0\\u5b57\\u6bb5 (Ctrl+Ins)\",insertSub:\"\\u9009\\u62e9\\u8981\\u63d2\\u5165\\u7684\\u5b57\\u6bb5\\u7c7b\\u578b\",object:\"\\u5bf9\\u8c61\",ok:\"Ok\",redo:\"\\u91cd\\u505a (Ctrl+Shift+Z)\",removeText:\"\\u79fb\\u9664\",removeTitle:\"\\u79fb\\u9664\\u9009\\u4e2d\\u5b57\\u6bb5 (Ctrl+Del)\",removeField:\"\\u79fb\\u9664\\u8be5\\u5b57\\u6bb5 (Ctrl+Del)\",repairTitle:\"\\u4fee\\u590dJSON\\uff1a\\u4fee\\u590d\\u5f15\\u53f7\\u548c\\u8f6c\\u4e49\\u7b26\\uff0c\\u5220\\u9664\\u6ce8\\u91ca\\u548cJSONP\\u8868\\u793a\\u6cd5\\uff0c\\u5c06JavaScript\\u5bf9\\u8c61\\u8f6c\\u6362\\u4e3aJSON\\u3002\",selectNode:\"\\u9009\\u62e9\\u4e00\\u4e2a\\u8282\\u70b9...\",showAll:\"\\u5c55\\u793a\\u5168\\u90e8\",showMore:\"\\u5c55\\u793a\\u66f4\\u591a\",showMoreStatus:\"\\u663e\\u793a${totalChilds}\\u7684${visibleChilds}\\u9879\\u76ee.\",sort:\"\\u6392\\u5e8f\",sortTitle:\"\\u6392\\u5e8f${type}\\u7684\\u5b50\\u8282\\u70b9\",sortTitleShort:\"\\u5185\\u5bb9\\u6392\\u5e8f\",sortFieldLabel:\"\\u5b57\\u6bb5\\uff1a\",sortDirectionLabel:\"\\u65b9\\u5411\\uff1a\",sortFieldTitle:\"\\u9009\\u62e9\\u7528\\u4e8e\\u5bf9\\u6570\\u7ec4\\u6216\\u5bf9\\u8c61\\u6392\\u5e8f\\u7684\\u5d4c\\u5957\\u5b57\\u6bb5\",sortAscending:\"\\u5347\\u5e8f\\u6392\\u5e8f\",sortAscendingTitle:\"\\u6309\\u7167\\u8be5\\u5b57\\u6bb5\\u5347\\u5e8f\\u6392\\u5e8f\",sortDescending:\"\\u964d\\u5e8f\\u6392\\u5e8f\",sortDescendingTitle:\"\\u6309\\u7167\\u8be5\\u5b57\\u6bb5\\u964d\\u5e8f\\u6392\\u5e8f\",string:\"\\u5b57\\u7b26\\u4e32\",transform:\"\\u53d8\\u6362\",transformTitle:\"\\u7b5b\\u9009\\uff0c\\u6392\\u5e8f\\uff0c\\u6216\\u8005\\u8f6c\\u6362${type}\\u7684\\u5b50\\u8282\\u70b9\",transformTitleShort:\"\\u7b5b\\u9009\\uff0c\\u6392\\u5e8f\\uff0c\\u6216\\u8005\\u8f6c\\u6362\\u5185\\u5bb9\",extract:\"\\u63d0\\u53d6\",extractTitle:\"\\u63d0\\u53d6\\u8fd9\\u4e2a ${type}\",transformQueryTitle:\"\\u8f93\\u5165JMESPath\\u67e5\\u8be2\",transformWizardLabel:\"\\u5411\\u5bfc\",transformWizardFilter:\"\\u7b5b\\u9009\",transformWizardSortBy:\"\\u6392\\u5e8f\",transformWizardSelectFields:\"\\u9009\\u62e9\\u5b57\\u6bb5\",transformQueryLabel:\"\\u67e5\\u8be2\",transformPreviewLabel:\"\\u9884\\u89c8\",type:\"\\u7c7b\\u578b\",typeTitle:\"\\u66f4\\u6539\\u5b57\\u6bb5\\u7c7b\\u578b\",openUrl:\"Ctrl+Click \\u6216\\u8005 Ctrl+Enter \\u5728\\u65b0\\u7a97\\u53e3\\u6253\\u5f00\\u94fe\\u63a5\",undo:\"\\u64a4\\u9500\\u4e0a\\u6b21\\u52a8\\u4f5c (Ctrl+Z)\",validationCannotMove:\"\\u65e0\\u6cd5\\u5c06\\u5b57\\u6bb5\\u79fb\\u5165\\u5176\\u5b50\\u8282\\u70b9\",autoType:'\\u5b57\\u6bb5\\u7c7b\\u578b \"auto\". \\u5b57\\u6bb5\\u7c7b\\u578b\\u7531\\u503c\\u81ea\\u52a8\\u786e\\u5b9a \\u53ef\\u4ee5\\u4e3a string\\uff0cnumber\\uff0cboolean\\uff0c\\u6216\\u8005 null.',objectType:'\\u5b57\\u6bb5\\u7c7b\\u578b \"object\". \\u5bf9\\u8c61\\u5305\\u542b\\u4e00\\u7ec4\\u65e0\\u5e8f\\u7684\\u952e/\\u503c\\u5bf9.',arrayType:'\\u5b57\\u6bb5\\u7c7b\\u578b \"array\". \\u6570\\u7ec4\\u5305\\u542b\\u503c\\u7684\\u6709\\u5e8f\\u96c6\\u5408.',stringType:'\\u5b57\\u6bb5\\u7c7b\\u578b \"string\". \\u5b57\\u6bb5\\u7c7b\\u578b\\u7531\\u503c\\u81ea\\u52a8\\u786e\\u5b9a\\uff0c\\u4f46\\u59cb\\u7ec8\\u4f5c\\u4e3a\\u5b57\\u7b26\\u4e32\\u8fd4\\u56de.',modeCodeText:\"\\u4ee3\\u7801\",modeCodeTitle:\"\\u5207\\u6362\\u81f3\\u4ee3\\u7801\\u9ad8\\u4eae\",modeFormText:\"\\u8868\\u5355\",modeFormTitle:\"\\u5207\\u6362\\u81f3\\u8868\\u5355\\u7f16\\u8f91\",modeTextText:\"\\u6587\\u672c\",modeTextTitle:\"\\u5207\\u6362\\u81f3\\u6587\\u672c\\u7f16\\u8f91\",modeTreeText:\"\\u6811\",modeTreeTitle:\"\\u5207\\u6362\\u81f3\\u6811\\u7f16\\u8f91\",modeViewText:\"\\u89c6\\u56fe\",modeViewTitle:\"\\u5207\\u6362\\u81f3\\u6811\\u89c6\\u56fe\",modePreviewText:\"\\u9884\\u89c8\",modePreviewTitle:\"\\u5207\\u6362\\u81f3\\u9884\\u89c8\\u6a21\\u5f0f\",examples:\"\\u4f8b\\u5b50\",default:\"\\u7f3a\\u7701\",containsInvalidProperties:\"\\u5305\\u542b\\u65e0\\u6548\\u7684\\u5c5e\\u6027\",containsInvalidItems:\"\\u5305\\u542b\\u65e0\\u6548\\u9879\\u76ee\"},\"pt-BR\":{array:\"Lista\",auto:\"Automatico\",appendText:\"Adicionar\",appendTitle:\"Adicionar novo campo com tipo 'auto' depois deste campo (Ctrl+Shift+Ins)\",appendSubmenuTitle:\"Selecione o tipo do campo a ser adicionado\",appendTitleAuto:\"Adicionar novo campo com tipo 'auto' (Ctrl+Shift+Ins)\",ascending:\"Ascendente\",ascendingTitle:\"Organizar filhor do tipo ${type} em crescente\",actionsMenu:\"Clique para abrir o menu de a\\xe7\\xf5es (Ctrl+M)\",cannotParseFieldError:\"N\\xe3o \\xe9 poss\\xedvel analisar o campo no JSON\",cannotParseValueError:\"N\\xe3o \\xe9 poss\\xedvel analisar o valor em JSON\",collapseAll:\"Fechar todos campos\",compactTitle:\"Dados JSON compactos, remova todos os espa\\xe7os em branco (Ctrl+Shift+\\\\)\",descending:\"Descendente\",descendingTitle:\"Organizar o filhos do tipo ${type} em decrescente\",duplicateKey:\"chave duplicada\",drag:\"Arraste para mover este campo (Alt+Shift+Arrows)\",duplicateText:\"Duplicar\",duplicateTitle:\"Duplicar campos selecionados (Ctrl+D)\",duplicateField:\"Duplicar este campo (Ctrl+D)\",duplicateFieldError:\"Nome do campo duplicado\",empty:\"vazio\",expandAll:\"Expandir todos campos\",expandTitle:\"Clique para expandir/encolher este campo (Ctrl+E). \\nCtrl+Click para expandir/encolher incluindo todos os filhos.\",formatTitle:\"Formate dados JSON, com recuo e feeds de linha adequados (Ctrl+\\\\)\",insert:\"Inserir\",insertTitle:\"Inserir um novo campo do tipo 'auto' antes deste campo (Ctrl+Ins)\",insertSub:\"Selecionar o tipo de campo a ser inserido\",object:\"Objeto\",ok:\"Ok\",redo:\"Refazer (Ctrl+Shift+Z)\",removeText:\"Remover\",removeTitle:\"Remover campos selecionados (Ctrl+Del)\",removeField:\"Remover este campo (Ctrl+Del)\",repairTitle:\"Repare JSON: corrija aspas e caracteres de escape, remova coment\\xe1rios e nota\\xe7\\xe3o JSONP, transforme objetos JavaScript em JSON.\",selectNode:\"Selecione um n\\xf3dulo...\",showAll:\"mostrar todos\",showMore:\"mostrar mais\",showMoreStatus:\"exibindo ${visibleChilds} de ${totalChilds} itens.\",sort:\"Organizar\",sortTitle:\"Organizar os filhos deste ${type}\",sortTitleShort:\"Organizar os filhos\",sortFieldLabel:\"Campo:\",sortDirectionLabel:\"Dire\\xe7\\xe3o:\",sortFieldTitle:\"Selecione um campo filho pelo qual ordenar o array ou objeto\",sortAscending:\"Ascendente\",sortAscendingTitle:\"Ordenar o campo selecionado por ordem ascendente\",sortDescending:\"Descendente\",sortDescendingTitle:\"Ordenar o campo selecionado por ordem descendente\",string:\"Texto\",transform:\"Transformar\",transformTitle:\"Filtrar, ordenar ou transformar os filhos deste ${type}\",transformTitleShort:\"Filtrar, ordenar ou transformar conte\\xfados\",transformQueryTitle:\"Insira uma express\\xe3o JMESPath\",transformWizardLabel:\"Assistente\",transformWizardFilter:\"Filtro\",transformWizardSortBy:\"Ordenar por\",transformWizardSelectFields:\"Selecionar campos\",transformQueryLabel:\"Express\\xe3o\",transformPreviewLabel:\"Visualizar\",type:\"Tipo\",typeTitle:\"Mudar o tipo deste campo\",openUrl:\"Ctrl+Click ou Ctrl+Enter para abrir link em nova janela\",undo:\"Desfazer \\xfaltimo a\\xe7\\xe3o (Ctrl+Z)\",validationCannotMove:\"N\\xe3o pode mover um campo como filho dele mesmo\",autoType:'Campo do tipo \"auto\". O tipo do campo \\xe9 determinao automaticamente a partir do seu valor e pode ser texto, n\\xfamero, verdade/falso ou nulo.',objectType:'Campo do tipo \"objeto\". Um objeto cont\\xe9m uma lista de pares com chave e valor.',arrayType:'Campo do tipo \"lista\". Uma lista contem uma cole\\xe7\\xe3o de valores ordenados.',stringType:'Campo do tipo \"string\". Campo do tipo nao \\xe9 determinado atrav\\xe9s do seu valor, mas sempre retornara um texto.',examples:\"Exemplos\",default:\"Revelia\",containsInvalidProperties:\"Cont\\xe9m propriedades inv\\xe1lidas\",containsInvalidItems:\"Cont\\xe9m itens inv\\xe1lidos\"},tr:{array:\"Dizin\",auto:\"Otomatik\",appendText:\"Ekle\",appendTitle:\"Bu alan\\u0131n alt\\u0131na 'otomatik' tipinde yeni bir alan ekle (Ctrl+Shift+Ins)\",appendSubmenuTitle:\"Eklenecek alan\\u0131n tipini se\\xe7\",appendTitleAuto:\"'Otomatik' tipinde yeni bir alan ekle (Ctrl+Shift+Ins)\",ascending:\"Artan\",ascendingTitle:\"${type}'\\u0131n alt tiplerini artan d\\xfczende s\\u0131rala\",actionsMenu:\"Aksiyon men\\xfcs\\xfcn\\xfc a\\xe7mak i\\xe7in t\\u0131klay\\u0131n (Ctrl+M)\",collapseAll:\"T\\xfcm alanlar\\u0131 kapat\",descending:\"Azalan\",descendingTitle:\"${type}'\\u0131n alt tiplerini azalan d\\xfczende s\\u0131rala\",drag:\"Bu alan\\u0131 ta\\u015f\\u0131mak i\\xe7in s\\xfcr\\xfckleyin (Alt+Shift+Arrows)\",duplicateKey:\"Var olan anahtar\",duplicateText:\"A\\u015fa\\u011f\\u0131ya kopyala\",duplicateTitle:\"Se\\xe7ili alanlardan bir daha olu\\u015ftur (Ctrl+D)\",duplicateField:\"Bu alandan bir daha olu\\u015ftur (Ctrl+D)\",duplicateFieldError:\"Duplicate field name\",cannotParseFieldError:\"Alan JSON'a ayr\\u0131\\u015ft\\u0131r\\u0131lam\\u0131yor\",cannotParseValueError:\"JSON'a de\\u011fer ayr\\u0131\\u015ft\\u0131r\\u0131lam\\u0131yor\",empty:\"bo\\u015f\",expandAll:\"T\\xfcm alanlar\\u0131 a\\xe7\",expandTitle:\"Bu alan\\u0131 a\\xe7mak/kapatmak i\\xe7in t\\u0131kla (Ctrl+E). \\nAlt alanlarda dahil t\\xfcm alanlar\\u0131 a\\xe7mak i\\xe7in Ctrl+Click \",insert:\"Ekle\",insertTitle:\"Bu alan\\u0131n \\xfcst\\xfcne 'otomatik' tipinde yeni bir alan ekle (Ctrl+Ins)\",insertSub:\"Araya eklenecek alan\\u0131n tipini se\\xe7\",object:\"Nesne\",ok:\"Tamam\",redo:\"Yeniden yap (Ctrl+Shift+Z)\",removeText:\"Kald\\u0131r\",removeTitle:\"Se\\xe7ilen alanlar\\u0131 kald\\u0131r (Ctrl+Del)\",removeField:\"Bu alan\\u0131 kald\\u0131r (Ctrl+Del)\",selectNode:\"Bir nesne se\\xe7...\",showAll:\"t\\xfcm\\xfcn\\xfc g\\xf6ster\",showMore:\"daha fazla g\\xf6ster\",showMoreStatus:\"${totalChilds} alan\\u0131n ${visibleChilds} alt alanlar\\u0131 g\\xf6steriliyor\",sort:\"S\\u0131rala\",sortTitle:\"${type}'\\u0131n alt alanlar\\u0131n\\u0131 s\\u0131rala\",sortTitleShort:\"\\u0130\\xe7erikleri s\\u0131rala\",sortFieldLabel:\"Alan:\",sortDirectionLabel:\"Y\\xf6n:\",sortFieldTitle:\"Diziyi veya nesneyi s\\u0131ralamak i\\xe7in i\\xe7 i\\xe7e ge\\xe7mi\\u015f alan\\u0131 se\\xe7in\",sortAscending:\"Artan\",sortAscendingTitle:\"Se\\xe7ili alan\\u0131 artan d\\xfczende s\\u0131rala\",sortDescending:\"Azalan\",sortDescendingTitle:\"Se\\xe7ili alan\\u0131 azalan d\\xfczende s\\u0131rala\",string:\"Karakter Dizisi\",transform:\"D\\xf6n\\xfc\\u015ft\\xfcr\",transformTitle:\"${type}'\\u0131n alt alanlar\\u0131n\\u0131 filtrele, s\\u0131rala veya d\\xf6n\\xfc\\u015ft\\xfcr\",transformTitleShort:\"\\u0130\\xe7erikleri filterele, s\\u0131rala veya d\\xf6n\\xfc\\u015ft\\xfcr\",transformQueryTitle:\"JMESPath sorgusu gir\",transformWizardLabel:\"Sihirbaz\",transformWizardFilter:\"Filtre\",transformWizardSortBy:\"S\\u0131rala\",transformWizardSelectFields:\"Alanlar\\u0131 se\\xe7\",transformQueryLabel:\"Sorgu\",transformPreviewLabel:\"\\xd6nizleme\",type:\"Tip\",typeTitle:\"Bu alan\\u0131n tipini de\\u011fi\\u015ftir\",openUrl:\"URL'i yeni bir pencerede a\\xe7mak i\\xe7in Ctrl+Click veya Ctrl+Enter\",undo:\"Son de\\u011fi\\u015fikli\\u011fi geri al (Ctrl+Z)\",validationCannotMove:\"Alt alan olarak ta\\u015f\\u0131nam\\u0131yor\",autoType:'Alan tipi \"otomatik\". Alan t\\xfcr\\xfc otomatik olarak de\\u011ferden belirlenirve bir dize, say\\u0131, boolean veya null olabilir.',objectType:'Alan tipi \"nesne\". Bir nesne, s\\u0131ralanmam\\u0131\\u015f bir anahtar / de\\u011fer \\xe7ifti k\\xfcmesi i\\xe7erir.',arrayType:'Alan tipi \"dizi\". Bir dizi, d\\xfczenli de\\u011ferler koleksiyonu i\\xe7erir.',stringType:'Alan tipi \"karakter dizisi\". Alan t\\xfcr\\xfc de\\u011ferden belirlenmez,ancak her zaman karakter dizisi olarak d\\xf6nd\\xfcr\\xfcl\\xfcr.',modeCodeText:\"Kod\",modeCodeTitle:\"Kod vurgulay\\u0131c\\u0131ya ge\\xe7\",modeFormText:\"Form\",modeFormTitle:\"Form d\\xfczenleyiciye ge\\xe7\",modeTextText:\"Metin\",modeTextTitle:\"D\\xfcz metin d\\xfczenleyiciye ge\\xe7\",modeTreeText:\"A\\u011fa\\xe7\",modeTreeTitle:\"A\\u011fa\\xe7 d\\xfczenleyiciye ge\\xe7\",modeViewText:\"G\\xf6r\\xfcn\\xfcm\",modeViewTitle:\"A\\u011fa\\xe7 g\\xf6r\\xfcn\\xfcm\\xfcne ge\\xe7\",examples:\"\\xd6rnekler\",default:\"Varsay\\u0131lan\",containsInvalidProperties:\"Ge\\xe7ersiz \\xf6zellikler i\\xe7eriyor\",containsInvalidItems:\"Ge\\xe7ersiz \\xf6\\u011feler i\\xe7eriyor\"},ja:{array:\"\\u914d\\u5217\",auto:\"\\u30aa\\u30fc\\u30c8\",appendText:\"\\u8ffd\\u52a0\",appendTitle:'\\u6b21\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u306b\"\\u30aa\\u30fc\\u30c8\"\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u8ffd\\u52a0 (Ctrl+Shift+Ins)',appendSubmenuTitle:\"\\u8ffd\\u52a0\\u3059\\u308b\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u306e\\u578b\\u3092\\u9078\\u629e\\u3057\\u3066\\u304f\\u3060\\u3055\\u3044\",appendTitleAuto:'\"\\u30aa\\u30fc\\u30c8\"\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u8ffd\\u52a0 (Ctrl+Shift+Ins)',ascending:\"\\u6607\\u9806\",ascendingTitle:\"${type}\\u306e\\u5b50\\u8981\\u7d20\\u3092\\u6607\\u9806\\u306b\\u4e26\\u3079\\u66ff\\u3048\",actionsMenu:\"\\u30af\\u30ea\\u30c3\\u30af\\u3057\\u3066\\u30a2\\u30af\\u30b7\\u30e7\\u30f3\\u30e1\\u30cb\\u30e5\\u30fc\\u3092\\u958b\\u304f (Ctrl+M)\",collapseAll:\"\\u3059\\u3079\\u3066\\u3092\\u6298\\u308a\\u305f\\u305f\\u3080\",descending:\"\\u964d\\u9806\",descendingTitle:\"${type}\\u306e\\u5b50\\u8981\\u7d20\\u3092\\u964d\\u9806\\u306b\\u4e26\\u3079\\u66ff\\u3048\",drag:\"\\u30c9\\u30e9\\u30c3\\u30b0\\u3057\\u3066\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u79fb\\u52d5 (Alt+Shift+Arrows)\",duplicateKey:\"\\u8907\\u88fd\\u30ad\\u30fc\",duplicateText:\"\\u8907\\u88fd\",duplicateTitle:\"\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u8907\\u88fd (Ctrl+D)\",duplicateField:\"\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u8907\\u88fd (Ctrl+D)\",duplicateFieldError:\"\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u540d\\u304c\\u91cd\\u8907\\u3057\\u3066\\u3044\\u307e\\u3059\",cannotParseFieldError:\"JSON\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u89e3\\u6790\\u3067\\u304d\\u307e\\u305b\\u3093\",cannotParseValueError:\"JSON\\u306e\\u5024\\u3092\\u89e3\\u6790\\u3067\\u304d\\u307e\\u305b\\u3093\",empty:\"\\u7a7a\",expandAll:\"\\u3059\\u3079\\u3066\\u3092\\u5c55\\u958b\",expandTitle:\"\\u30af\\u30ea\\u30c3\\u30af\\u3057\\u3066\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u5c55\\u958b/\\u6298\\u308a\\u305f\\u305f\\u3080 (Ctrl+E). \\nCtrl+Click \\u3067\\u3059\\u3079\\u3066\\u306e\\u5b50\\u8981\\u7d20\\u3092\\u5c55\\u958b/\\u6298\\u308a\\u305f\\u305f\\u3080\",insert:\"\\u633f\\u5165\",insertTitle:\"\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u306e\\u524d\\u306b\\u65b0\\u3057\\u3044\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u633f\\u5165 (Ctrl+Ins)\",insertSub:\"\\u633f\\u5165\\u3059\\u308b\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u306e\\u578b\\u3092\\u9078\\u629e\",object:\"\\u30aa\\u30d6\\u30b8\\u30a7\\u30af\\u30c8\",ok:\"\\u5b9f\\u884c\",redo:\"\\u3084\\u308a\\u76f4\\u3059 (Ctrl+Shift+Z)\",removeText:\"\\u524a\\u9664\",removeTitle:\"\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u524a\\u9664 (Ctrl+Del)\",removeField:\"\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u524a\\u9664 (Ctrl+Del)\",selectNode:\"\\u30ce\\u30fc\\u30c9\\u3092\\u9078\\u629e...\",showAll:\"\\u3059\\u3079\\u3066\\u3092\\u8868\\u793a\",showMore:\"\\u3082\\u3063\\u3068\\u898b\\u308b\",showMoreStatus:\"${totalChilds}\\u500b\\u306e\\u30a2\\u30a4\\u30c6\\u30e0\\u306e\\u3046\\u3061 ${visibleChilds}\\u500b\\u3092\\u8868\\u793a\\u3057\\u3066\\u3044\\u307e\\u3059\\u3002\",sort:\"\\u4e26\\u3079\\u66ff\\u3048\",sortTitle:\"${type}\\u306e\\u5b50\\u8981\\u7d20\\u3092\\u4e26\\u3079\\u66ff\\u3048\",sortTitleShort:\"\\u4e26\\u3079\\u66ff\\u3048\",sortFieldLabel:\"\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9:\",sortDirectionLabel:\"\\u9806\\u5e8f:\",sortFieldTitle:\"\\u914d\\u5217\\u307e\\u305f\\u306f\\u30aa\\u30d6\\u30b8\\u30a7\\u30af\\u30c8\\u3092\\u4e26\\u3073\\u66ff\\u3048\\u308b\\u305f\\u3081\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u9078\\u629e\",sortAscending:\"\\u6607\\u9806\",sortAscendingTitle:\"\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u6607\\u9806\\u306b\\u4e26\\u3073\\u66ff\\u3048\",sortDescending:\"\\u964d\\u9806\",sortDescendingTitle:\"\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u964d\\u9806\\u306b\\u4e26\\u3073\\u66ff\\u3048\",string:\"\\u6587\\u5b57\\u5217\",transform:\"\\u5909\\u63db\",transformTitle:\"${type}\\u306e\\u5b50\\u8981\\u7d20\\u3092\\u30d5\\u30a3\\u30eb\\u30bf\\u30fc\\u30fb\\u4e26\\u3073\\u66ff\\u3048\\u30fb\\u5909\\u63db\\u3059\\u308b\",transformTitleShort:\"\\u5185\\u5bb9\\u3092\\u30d5\\u30a3\\u30eb\\u30bf\\u30fc\\u30fb\\u4e26\\u3073\\u66ff\\u3048\\u30fb\\u5909\\u63db\\u3059\\u308b\",extract:\"\\u62bd\\u51fa\",extractTitle:\"${type}\\u3092\\u62bd\\u51fa\",transformQueryTitle:\"JMESPath\\u30af\\u30a8\\u30ea\\u3092\\u5165\\u529b\",transformWizardLabel:\"\\u30a6\\u30a3\\u30b6\\u30fc\\u30c9\",transformWizardFilter:\"\\u30d5\\u30a3\\u30eb\\u30bf\\u30fc\",transformWizardSortBy:\"\\u4e26\\u3073\\u66ff\\u3048\",transformWizardSelectFields:\"\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u3092\\u9078\\u629e\",transformQueryLabel:\"\\u30af\\u30a8\\u30ea\",transformPreviewLabel:\"\\u30d7\\u30ec\\u30d3\\u30e5\\u30fc\",type:\"\\u578b\",typeTitle:\"\\u9078\\u629e\\u4e2d\\u306e\\u30d5\\u30a3\\u30fc\\u30eb\\u30c9\\u306e\\u578b\\u3092\\u5909\\u66f4\",openUrl:\"Ctrl+Click 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t=!1;220===(e.which||e.keyCode)&&e.ctrlKey&&(e.shiftKey?this.compact():this.format(),this._onChange(),t=!0),t&&(e.preventDefault(),e.stopPropagation()),this._updateCursorInfo(),this._emitSelectionChange()},n._onMouseDown=function(){this._updateCursorInfo(),this._emitSelectionChange()},n._onBlur=function(){var e=this;setTimeout((function(){e.isFocused||(e._updateCursorInfo(),e._emitSelectionChange()),e.isFocused=!1}))},n._updateCursorInfo=function(){var e,t,n,r,i,s=this;function o(){s.curserInfoElements.countVal.innerText!==i&&(s.curserInfoElements.countVal.innerText=i,s.curserInfoElements.countVal.style.display=i?\"inline\":\"none\",s.curserInfoElements.countLabel.style.display=i?\"inline\":\"none\"),s.curserInfoElements.lnVal.innerText=n,s.curserInfoElements.colVal.innerText=r}this.textarea?setTimeout((function(){var 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this.editor.options.onEditable||(\"boolean\"==typeof(e=this.editor.options.onEditable({field:this.field,value:this.value,path:this.getPath()}))?(this.editable.field=e,this.editable.value=e):\"object\"===b(e)&&null!==e?(\"boolean\"==typeof e.field&&(this.editable.field=e.field),\"boolean\"==typeof e.value&&(this.editable.value=e.value)):(console.error(\"Invalid return value for function onEditable.\",\"Actual value:\",e,\".\",\"Either a boolean or object { field: boolean, value: boolean } expected.\"),this.editable.field=!1,this.editable.value=!1)))}},{key:\"getPath\",value:function(){for(var e=this,t=[];e;){var n=e.getName();void 0!==n&&t.unshift(n),e=e.parent}return t}},{key:\"getInternalPath\",value:function(){for(var e=this,t=[];e;)e.parent&&t.unshift(e.getIndex()),e=e.parent;return t}},{key:\"getName\",value:function(){return this.parent?\"array\"!==this.parent.type?this.field:this.index:void 0}},{key:\"findNodeByPath\",value:function(e){if(e){if(0===e.length)return this;if(e.length&&this.childs&&this.childs.length)for(var t=0;t<this.childs.length;++t)if(\"\"+e[0]==\"\"+this.childs[t].getName())return this.childs[t].findNodeByPath(e.slice(1))}}},{key:\"findNodeByInternalPath\",value:function(e){if(e){for(var t=this,n=0;n<e.length&&t;n++)t=t.childs[e[n]];return t}}},{key:\"serialize\",value:function(){return{value:this.getValue(),path:this.getPath()}}},{key:\"findNode\",value:function(e){for(var t=(0,u.parsePath)(e),n=this;n&&0<t.length;)!function(){var e=t.shift();if(\"number\"==typeof e){if(\"array\"!==n.type)throw new Error(\"Cannot get child node at index \"+e+\": node is no array\");n=n.childs[e]}else{if(\"object\"!==n.type)throw new Error(\"Cannot get child node \"+e+\": node is no object\");n=n.childs.filter((function(t){return t.field===e}))[0]}}();return n}},{key:\"findParents\",value:function(){for(var e=[],t=this.parent;t;)e.unshift(t),t=t.parent;return 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r,i,s,o,a,c,l,h=this.childs;if(this.type=this._getType(t),n&&n!==this.type){if(\"string\"!==n||\"auto\"!==this.type)throw new Error('Type mismatch: cannot cast value of type \"'+this.type+' to the specified type \"'+n+'\"');this.type=n}if(\"array\"===this.type){for(this.childs||(this.childs=[]),i=0;i<t.length;i++)void 0===(a=t[i])||a instanceof Function||(i<this.childs.length?((r=this.childs[i]).fieldEditable=!1,r.index=i,r.setValue(a)):(r=new e(this.editor,{value:a}),o=i<this.getMaxVisibleChilds(),this.appendChild(r,o,!1)));for(s=this.childs.length;s>=t.length;s--)this.removeChild(this.childs[s],!1)}else if(\"object\"===this.type){for(this.childs||(this.childs=[]),s=this.childs.length-1;0<=s;s--)w(t,this.childs[s].field)||this.removeChild(this.childs[s],!1);for(var d in i=0,t)w(t,d)&&(void 0===(a=t[d])||a instanceof Function||((l=this.findChildByProperty(d))?(l.setField(d,!0),l.setValue(a)):(c=new e(this.editor,{field:d,value:a}),l=i<this.getMaxVisibleChilds(),this.appendChild(c,l,!1))),i++);!(this.value=\"\")===this.editor.options.sortObjectKeys&&this.sort([],\"asc\",!1)}else this.hideChilds(),delete this.append,delete this.showMore,delete this.expanded,delete this.childs,this.value=t;Array.isArray(h)!==Array.isArray(this.childs)&&this.recreateDom(),this.updateDom({updateIndexes:!0}),this.previousValue=this.value}},{key:\"setInternalValue\",value:function(t){var n,r,i,s,o,a=this.childs;if(this.type=t.type,\"array\"===t.type){for(this.childs||(this.childs=[]),s=0;s<t.childs.length;s++)void 0===(n=t.childs[s])||n instanceof Function||(s<this.childs.length?((r=this.childs[s]).fieldEditable=!1,r.index=s,r.setInternalValue(n)):(r=new e(this.editor,{internalValue:n}),i=s<this.getMaxVisibleChilds(),this.appendChild(r,i,!1)));for(o=this.childs.length;o>=t.childs.length;o--)this.removeChild(this.childs[o],!1)}else if(\"object\"===t.type){for(this.childs||(this.childs=[]),s=0;s<t.childs.length;s++)void 0===(n=t.childs[s])||n instanceof Function||(s<this.childs.length?(delete(r=this.childs[s]).index,r.setField(n.field,!0),r.setInternalValue(n.value)):(r=new e(this.editor,{field:n.field,internalValue:n.value}),i=s<this.getMaxVisibleChilds(),this.appendChild(r,i,!1)));for(o=this.childs.length;o>=t.childs.length;o--)this.removeChild(this.childs[o],!1)}else this.hideChilds(),delete this.append,delete this.showMore,delete this.expanded,delete this.childs,this.value=t.value;Array.isArray(a)!==Array.isArray(this.childs)&&this.recreateDom(),this.updateDom({updateIndexes:!0}),this.previousValue=this.value}},{key:\"recreateDom\",value:function(){var e;this.dom&&this.dom.tr&&this.dom.tr.parentNode?(e=this._detachFromDom(),this.clearDom(),this._attachToDom(e)):this.clearDom()}},{key:\"getValue\",value:function(){if(\"array\"===this.type){var e=[];return this.childs.forEach((function(t){e.push(t.getValue())})),e}if(\"object\"!==this.type)return void 0===this.value&&this._getDomValue(),this.value;var t={};return this.childs.forEach((function(e){t[e.getField()]=e.getValue()})),t}},{key:\"getInternalValue\",value:function(){return\"array\"===this.type?{type:this.type,childs:this.childs.map((function(e){return e.getInternalValue()}))}:\"object\"===this.type?{type:this.type,childs:this.childs.map((function(e){return{field:e.getField(),value:e.getInternalValue()}}))}:(void 0===this.value&&this._getDomValue(),{type:this.type,value:this.value})}},{key:\"getLevel\",value:function(){return this.parent?this.parent.getLevel()+1:0}},{key:\"getNodePath\",value:function(){var e=this.parent?this.parent.getNodePath():[];return e.push(this),e}},{key:\"clone\",value:function(){var t,n=new e(this.editor);return n.type=this.type,n.field=this.field,n.fieldInnerText=this.fieldInnerText,n.fieldEditable=this.fieldEditable,n.previousField=this.previousField,n.value=this.value,n.valueInnerText=this.valueInnerText,n.previousValue=this.previousValue,n.expanded=this.expanded,n.visibleChilds=this.visibleChilds,this.childs?(t=[],this.childs.forEach((function(e){(e=e.clone()).setParent(n),t.push(e)})),n.childs=t):n.childs=void 0,n}},{key:\"expand\",value:function(e){this.childs&&(this.expanded=!0,this.dom.expand&&(this.dom.expand.className=\"jsoneditor-button jsoneditor-expanded\"),this.showChilds(),!1!==e&&this.childs.forEach((function(t){t.expand(e)})),this.updateDom({recurse:!1}))}},{key:\"collapse\",value:function(e){this.childs&&(this.hideChilds(),!1!==e&&this.childs.forEach((function(t){t.collapse(e)})),this.dom.expand&&(this.dom.expand.className=\"jsoneditor-button jsoneditor-collapsed\"),this.expanded=!1,this.updateDom({recurse:!1}))}},{key:\"showChilds\",value:function(){var e=this.childs;if(e&&this.expanded){var t=this.dom.tr,n=t?t.parentNode:void 0;if(n){(e=this.getAppendDom()).parentNode||((i=t.nextSibling)?n.insertBefore(e,i):n.appendChild(e));for(var r=Math.min(this.childs.length,this.visibleChilds),i=this._getNextTr(),s=0;s<r;s++){var o=this.childs[s];o.getDom().parentNode||n.insertBefore(o.getDom(),i),o.showChilds()}e=this.getShowMoreDom(),i=this._getNextTr(),e.parentNode||n.insertBefore(e,i),this.showMore.updateDom()}}}},{key:\"_getNextTr\",value:function(){return this.showMore&&this.showMore.getDom().parentNode?this.showMore.getDom():this.append&&this.append.getDom().parentNode?this.append.getDom():void 0}},{key:\"hide\",value:function(e){var t=this.dom.tr,n=t?t.parentNode:void 0;n&&n.removeChild(t),this.dom.popupAnchor&&this.dom.popupAnchor.destroy(),this.hideChilds(e)}},{key:\"hideChilds\",value:function(e){var t;this.childs&&this.expanded&&((t=this.getAppendDom()).parentNode&&t.parentNode.removeChild(t),this.childs.forEach((function(e){e.hide()})),(t=this.getShowMoreDom()).parentNode&&t.parentNode.removeChild(t),e&&!e.resetVisibleChilds||(this.visibleChilds=this.getMaxVisibleChilds()))}},{key:\"_updateCssClassName\",value:function(){var e;this.dom.field&&this.editor&&this.editor.options&&\"function\"==typeof this.editor.options.onClassName&&this.dom.tree&&((0,u.removeAllClassNames)(this.dom.tree),e=this.editor.options.onClassName({path:this.getPath(),field:this.field,value:this.value})||\"\",(0,u.addClassName)(this.dom.tree,\"jsoneditor-values \"+e))}},{key:\"recursivelyUpdateCssClassesOnNodes\",value:function(){if(this._updateCssClassName(),Array.isArray(this.childs))for(var e=0;e<this.childs.length;e++)this.childs[e].recursivelyUpdateCssClassesOnNodes()}},{key:\"expandTo\",value:function(){for(var e=this.parent;e;)e.expanded||e.expand(),e=e.parent}},{key:\"appendChild\",value:function(e,t,n){var r,i;this._hasChilds()&&(e.setParent(this),e.fieldEditable=\"object\"===this.type,\"array\"===this.type&&(e.index=this.childs.length),\"object\"===this.type&&void 0===e.field&&e.setField(\"\"),this.childs.push(e),this.expanded&&!1!==t&&(r=e.getDom(),t=(i=this._getNextTr())?i.parentNode:void 0,i&&t&&t.insertBefore(r,i),e.showChilds(),this.visibleChilds++),!1!==n&&(this.updateDom({updateIndexes:!0}),e.updateDom({recurse:!0})))}},{key:\"moveBefore\",value:function(e,t,n){var r,i;this._hasChilds()&&((r=this.dom.tr?this.dom.tr.parentNode:void 0)&&((i=document.createElement(\"tr\")).style.height=r.clientHeight+\"px\",r.appendChild(i)),e.parent&&e.parent.removeChild(e),t instanceof S||!t?this.childs.length+1>this.visibleChilds?this.insertBefore(e,this.childs[this.visibleChilds-1],n):this.appendChild(e,!0,n):this.insertBefore(e,t,n),r&&i&&r.removeChild(i))}},{key:\"insertBefore\",value:function(e,t,n){if(this._hasChilds()){if(this.visibleChilds++,\"object\"===this.type&&void 0===e.field&&e.setField(\"\"),t===this.append)e.setParent(this),e.fieldEditable=\"object\"===this.type,this.childs.push(e);else{var r=this.childs.indexOf(t);if(-1===r)throw new Error(\"Node not found\");e.setParent(this),e.fieldEditable=\"object\"===this.type,this.childs.splice(r,0,e)}var i;this.expanded&&(i=e.getDom(),t=(r=t.getDom())?r.parentNode:void 0,r&&t&&t.insertBefore(i,r),e.showChilds(),this.showChilds()),!1!==n&&(this.updateDom({updateIndexes:!0}),e.updateDom({recurse:!0}))}}},{key:\"insertAfter\",value:function(e,t){this._hasChilds()&&(t=this.childs.indexOf(t),(t=this.childs[t+1])?this.insertBefore(e,t):this.appendChild(e))}},{key:\"search\",value:function(e,t){Array.isArray(t)||(t=[]);var n=e?e.toLowerCase():void 0;return delete this.searchField,delete this.searchValue,void 0!==this.field&&t.length<=this.MAX_SEARCH_RESULTS&&(-1!==String(this.field).toLowerCase().indexOf(n)&&(this.searchField=!0,t.push({node:this,elem:\"field\"})),this._updateDomField()),this._hasChilds()?this.childs&&this.childs.forEach((function(n){n.search(e,t)})):void 0!==this.value&&t.length<=this.MAX_SEARCH_RESULTS&&(-1!==String(this.value).toLowerCase().indexOf(n)&&(this.searchValue=!0,t.push({node:this,elem:\"value\"})),this._updateDomValue()),t}},{key:\"scrollTo\",value:function(e){this.expandPathToNode(),this.dom.tr&&this.dom.tr.parentNode&&this.editor.scrollTo(this.dom.tr.offsetTop,e)}},{key:\"expandPathToNode\",value:function(){for(var e=this;e&&e.parent;){for(var t=\"array\"===e.parent.type?e.index:e.parent.childs.indexOf(e);e.parent.visibleChilds<t+1;)e.parent.visibleChilds+=this.getMaxVisibleChilds();e.parent.expand(!1),e=e.parent}}},{key:\"focus\",value:function(t){if(e.focusElement=t,this.dom.tr&&this.dom.tr.parentNode){var n=this.dom;switch(t){case\"drag\":(n.drag||n.menu).focus();break;case\"menu\":n.menu.focus();break;case\"expand\":this._hasChilds()?n.expand.focus():n.field&&this.fieldEditable?(n.field.focus(),(0,u.selectContentEditable)(n.field)):n.value&&!this._hasChilds()?(n.value.focus(),(0,u.selectContentEditable)(n.value)):n.menu.focus();break;case\"field\":n.field&&this.fieldEditable?(n.field.focus(),(0,u.selectContentEditable)(n.field)):n.value&&!this._hasChilds()?(n.value.focus(),(0,u.selectContentEditable)(n.value)):(this._hasChilds()?n.expand:n.menu).focus();break;case\"value\":default:n.select?n.select.focus():n.value&&!this._hasChilds()?(n.value.focus(),(0,u.selectContentEditable)(n.value)):n.field&&this.fieldEditable?(n.field.focus(),(0,u.selectContentEditable)(n.field)):(this._hasChilds()?n.expand:n.menu).focus()}}}},{key:\"containsNode\",value:function(e){if(this===e)return!0;var t=this.childs;if(t)for(var n=0,r=t.length;n<r;n++)if(t[n].containsNode(e))return!0;return!1}},{key:\"removeChild\",value:function(e,t){if(this.childs){var n=this.childs.indexOf(e);if(-1!==n)return n<this.visibleChilds&&this.expanded&&this.visibleChilds--,e.hide(),delete e.searchField,delete e.searchValue,(n=this.childs.splice(n,1)[0]).parent=null,!1!==t&&this.updateDom({updateIndexes:!0}),n}}},{key:\"_remove\",value:function(e){this.removeChild(e)}},{key:\"changeType\",value:function(e){var t,n=this.type;n!==e&&(\"string\"!==e&&\"auto\"!==e||\"string\"!==n&&\"auto\"!==n?(t=this._detachFromDom(),this.clearDom(),\"object\"===(this.type=e)?(this.childs||(this.childs=[]),this.childs.forEach((function(e){e.clearDom(),delete e.index,e.fieldEditable=!0,void 0===e.field&&(e.field=\"\")})),\"string\"!==n&&\"auto\"!==n||(this.expanded=!0)):\"array\"===e?(this.childs||(this.childs=[]),this.childs.forEach((function(e,t){e.clearDom(),e.fieldEditable=!1,e.index=t})),\"string\"!==n&&\"auto\"!==n||(this.expanded=!0)):this.expanded=!1,this._attachToDom(t)):this.type=e,\"auto\"!==e&&\"string\"!==e||(this.value=\"string\"===e?String(this.value):(0,u.parseString)(String(this.value)),this.focus()),this.updateDom({updateIndexes:!0}))}},{key:\"deepEqual\",value:function(e){var t;if(\"array\"===this.type){if(!Array.isArray(e))return!1;if(this.childs.length!==e.length)return!1;for(t=0;t<this.childs.length;t++)if(!this.childs[t].deepEqual(e[t]))return!1}else if(\"object\"===this.type){if(\"object\"!==b(e)||!e)return!1;var n=Object.keys(e);if(this.childs.length!==n.length)return!1;for(t=0;t<n.length;t++){var r=this.childs[t];if(r.field!==n[t]||!r.deepEqual(e[r.field]))return!1}}else if(this.value!==e)return!1;return!0}},{key:\"_getDomValue\",value:function(){if(this._clearValueError(),this.dom.value&&\"array\"!==this.type&&\"object\"!==this.type&&(this.valueInnerText=(0,u.getInnerText)(this.dom.value),\"\"===this.valueInnerText&&\"\"!==this.dom.value.innerHTML&&(this.dom.value.textContent=\"\")),void 0!==this.valueInnerText)try{var e;(e=\"string\"===this.type?this._unescapeHTML(this.valueInnerText):(e=this._unescapeHTML(this.valueInnerText),(0,u.parseString)(e)))!==this.value&&(this.value=e,this._debouncedOnChangeValue())}catch(e){this._setValueError((0,a.Iu)(\"cannotParseValueError\"))}}},{key:\"_setValueError\",value:function(e){this.valueError={message:e},this.updateError()}},{key:\"_clearValueError\",value:function(){this.valueError&&(this.valueError=null,this.updateError())}},{key:\"_setFieldError\",value:function(e){this.fieldError={message:e},this.updateError()}},{key:\"_clearFieldError\",value:function(){this.fieldError&&(this.fieldError=null,this.updateError())}},{key:\"_onChangeValue\",value:function(){var e=this.editor.getDomSelection();e.range&&(t=(0,u.textDiff)(String(this.value),String(this.previousValue)),e.range.startOffset=t.start,e.range.endOffset=t.end);var t,n=this.editor.getDomSelection();n.range&&(t=(0,u.textDiff)(String(this.previousValue),String(this.value)),n.range.startOffset=t.start,n.range.endOffset=t.end),this.editor._onAction(\"editValue\",{path:this.getInternalPath(),oldValue:this.previousValue,newValue:this.value,oldSelection:e,newSelection:n}),this.previousValue=this.value}},{key:\"_onChangeField\",value:function(){var e=this.editor.getDomSelection(),t=this.previousField||\"\";e.range&&(n=(0,u.textDiff)(this.field,t),e.range.startOffset=n.start,e.range.endOffset=n.end);var n=this.editor.getDomSelection();n.range&&(t=(0,u.textDiff)(t,this.field),n.range.startOffset=t.start,n.range.endOffset=t.end),this.editor._onAction(\"editField\",{parentPath:this.parent.getInternalPath(),index:this.getIndex(),oldValue:this.previousField,newValue:this.field,oldSelection:e,newSelection:n}),this.previousField=this.field}},{key:\"_updateDomValue\",value:function(){var e=this.dom.value;if(e){var t=[\"jsoneditor-value\"],n=this.value,r=\"auto\"===this.type?(0,u.getType)(n):this.type,i=\"string\"===r&&(0,u.isUrl)(n);if(t.push(\"jsoneditor-\"+r),i&&t.push(\"jsoneditor-url\"),\"\"===String(this.value)&&\"array\"!==this.type&&\"object\"!==this.type&&t.push(\"jsoneditor-empty\"),this.searchValueActive&&t.push(\"jsoneditor-highlight-active\"),this.searchValue&&t.push(\"jsoneditor-highlight\"),e.className=t.join(\" \"),e.title=\"array\"===r||\"object\"===r?this.type+\" containing \"+(t=this.childs?this.childs.length:0)+\" items\":i&&this.editable.value?(0,a.Iu)(\"openUrl\"):\"\",\"boolean\"===r&&this.editable.value?(this.dom.checkbox||(this.dom.checkbox=document.createElement(\"input\"),this.dom.checkbox.type=\"checkbox\",this.dom.tdCheckbox=document.createElement(\"td\"),this.dom.tdCheckbox.className=\"jsoneditor-tree\",this.dom.tdCheckbox.appendChild(this.dom.checkbox),this.dom.tdValue.parentNode.insertBefore(this.dom.tdCheckbox,this.dom.tdValue)),this.dom.checkbox.checked=this.value):this.dom.tdCheckbox&&(this.dom.tdCheckbox.parentNode.removeChild(this.dom.tdCheckbox),delete this.dom.tdCheckbox,delete this.dom.checkbox),this.enum&&this.editable.value){if(!this.dom.select){this.dom.select=document.createElement(\"select\"),this.id=this.field+\"_\"+(new Date).getUTCMilliseconds(),this.dom.select.id=this.id,this.dom.select.name=this.dom.select.id;var s=document.createElement(\"option\");s.value=\"\",s.textContent=\"--\",this.dom.select.appendChild(s);for(var o=0;o<this.enum.length;o++){var c=document.createElement(\"option\");c.value=this.enum[o],c.textContent=this.enum[o],this.dom.select.appendChild(c)}this.dom.tdSelect=document.createElement(\"td\"),this.dom.tdSelect.className=\"jsoneditor-tree\",this.dom.tdSelect.appendChild(this.dom.select),this.dom.tdValue.parentNode.insertBefore(this.dom.tdSelect,this.dom.tdValue)}this.dom.select.value=-1!==this.enum.indexOf(this.value)?this.value:\"\",!this.schema||w(this.schema,\"oneOf\")||w(this.schema,\"anyOf\")||w(this.schema,\"allOf\")?delete this.valueFieldHTML:(this.valueFieldHTML=this.dom.tdValue.innerHTML,this.dom.tdValue.style.visibility=\"hidden\",this.dom.tdValue.textContent=\"\")}else this.dom.tdSelect&&(this.dom.tdSelect.parentNode.removeChild(this.dom.tdSelect),delete this.dom.tdSelect,delete this.dom.select,this.dom.tdValue.innerHTML=this.valueFieldHTML,this.dom.tdValue.style.visibility=\"\",delete this.valueFieldHTML);if(this.editable.value&&this.editor.options.colorPicker&&\"string\"==typeof n&&(0,u.isValidColor)(n)?(this.dom.color||(this.dom.color=document.createElement(\"div\"),this.dom.color.className=\"jsoneditor-color\",this.dom.tdColor=document.createElement(\"td\"),this.dom.tdColor.className=\"jsoneditor-tree\",this.dom.tdColor.appendChild(this.dom.color),this.dom.tdValue.parentNode.insertBefore(this.dom.tdColor,this.dom.tdValue)),(0,u.addClassName)(this.dom.value,\"jsoneditor-color-value\"),this.dom.color.style.backgroundColor=n):this._deleteDomColor(),this._showTimestampTag()){if(this.dom.date||(this.dom.date=document.createElement(\"div\"),this.dom.date.className=\"jsoneditor-date\",this.dom.value.parentNode.appendChild(this.dom.date)),s=null,\"function\"==typeof this.editor.options.timestampFormat&&(s=this.editor.options.timestampFormat({field:this.field,value:this.value,path:this.getPath()})),s){for(;this.dom.date.firstChild;)this.dom.date.removeChild(this.dom.date.firstChild);this.dom.date.appendChild(document.createTextNode(s))}else this.dom.date.textContent=new Date(n).toISOString();this.dom.date.title=new Date(n).toString()}else this.dom.date&&(this.dom.date.parentNode.removeChild(this.dom.date),delete this.dom.date);(0,u.stripFormatting)(e),this._updateDomDefault()}}},{key:\"_deleteDomColor\",value:function(){this.dom.color&&(this.dom.tdColor.parentNode.removeChild(this.dom.tdColor),delete this.dom.tdColor,delete this.dom.color,(0,u.removeClassName)(this.dom.value,\"jsoneditor-color-value\"))}},{key:\"_updateDomField\",value:function(){var e,t=this.dom.field;t&&((e=(0,u.makeFieldTooltip)(this.schema,this.editor.options.language))&&(t.title=e),(\"\"===String(this.field)&&this.parent&&\"array\"!==this.parent.type?u.addClassName:u.removeClassName)(t,\"jsoneditor-empty\"),(this.searchFieldActive?u.addClassName:u.removeClassName)(t,\"jsoneditor-highlight-active\"),(this.searchField?u.addClassName:u.removeClassName)(t,\"jsoneditor-highlight\"),(0,u.stripFormatting)(t))}},{key:\"_getDomField\",value:function(e){if(this._clearFieldError(),this.dom.field&&this.fieldEditable&&(this.fieldInnerText=(0,u.getInnerText)(this.dom.field),\"\"===this.fieldInnerText&&\"\"!==this.dom.field.innerHTML&&(this.dom.field.textContent=\"\")),void 0!==this.fieldInnerText)try{var t=this._unescapeHTML(this.fieldInnerText),n=this.parent.getFieldNames(this);-1!==n.indexOf(t)?e?(t=(0,u.findUniqueName)(t,n))!==this.field&&(this.field=t,this._debouncedOnChangeField()):this._setFieldError((0,a.Iu)(\"duplicateFieldError\")):t!==this.field&&(this.field=t,this._debouncedOnChangeField())}catch(e){this._setFieldError((0,a.Iu)(\"cannotParseFieldError\"))}}},{key:\"_updateDomDefault\",value:function(){var e;!this.schema||void 0===this.schema.default||this._hasChilds()||(e=this.dom.select||this.dom.value)&&(this.value===this.schema.default?(e.title=(0,a.Iu)(\"default\"),(0,u.addClassName)(e,\"jsoneditor-is-default\"),(0,u.removeClassName)(e,\"jsoneditor-is-not-default\")):(e.removeAttribute(\"title\"),(0,u.removeClassName)(e,\"jsoneditor-is-default\"),(0,u.addClassName)(e,\"jsoneditor-is-not-default\")))}},{key:\"_showTimestampTag\",value:function(){if(\"number\"!=typeof this.value)return!1;var e=this.editor.options.timestampTag;return\"function\"!=typeof e?!0===e&&(0,u.isTimestamp)(this.field,this.value):\"boolean\"==typeof(e=e({field:this.field,value:this.value,path:this.getPath()}))?e:(0,u.isTimestamp)(this.field,this.value)}},{key:\"clearDom\",value:function(){this.dom={}}},{key:\"getDom\",value:function(){var e,t=this.dom;if(t.tr)return t.tr;this._updateEditability(),t.tr=document.createElement(\"tr\"),\"tree\"===(t.tr.node=this).editor.options.mode&&(e=document.createElement(\"td\"),this.editable.field&&this.parent&&((n=document.createElement(\"button\")).type=\"button\",(t.drag=n).className=\"jsoneditor-button jsoneditor-dragarea\",n.title=(0,a.Iu)(\"drag\"),e.appendChild(n)),t.tr.appendChild(e),n=document.createElement(\"td\"),(e=document.createElement(\"button\")).type=\"button\",(t.menu=e).className=\"jsoneditor-button jsoneditor-contextmenu-button\",e.title=(0,a.Iu)(\"actionsMenu\"),n.appendChild(t.menu),t.tr.appendChild(n));var n=document.createElement(\"td\");return t.tr.appendChild(n),t.tree=this._createDomTree(),n.appendChild(t.tree),this.updateDom({updateIndexes:!0}),t.tr}},{key:\"isVisible\",value:function(){return this.dom&&this.dom.tr&&this.dom.tr.parentNode||!1}},{key:\"isDescendantOf\",value:function(e){for(var t=this.parent;t;){if(t===e)return!0;t=t.parent}return!1}},{key:\"_createDomField\",value:function(){return document.createElement(\"div\")}},{key:\"setHighlight\",value:function(e){this.dom.tr&&((e?u.addClassName:u.removeClassName)(this.dom.tr,\"jsoneditor-highlight\"),this.append&&this.append.setHighlight(e),this.childs&&this.childs.forEach((function(t){t.setHighlight(e)})))}},{key:\"setSelected\",value:function(e,t){this.selected=e,this.dom.tr&&((e?u.addClassName:u.removeClassName)(this.dom.tr,\"jsoneditor-selected\"),(t?u.addClassName:u.removeClassName)(this.dom.tr,\"jsoneditor-first\"),this.append&&this.append.setSelected(e),this.showMore&&this.showMore.setSelected(e),this.childs&&this.childs.forEach((function(t){t.setSelected(e)})))}},{key:\"updateValue\",value:function(e){this.value=e,this.previousValue=e,this.valueError=void 0,this.updateDom()}},{key:\"updateField\",value:function(e){this.field=e,this.previousField=e,this.fieldError=void 0,this.updateDom()}},{key:\"updateDom\",value:function(t){var n=this.dom.tree;n&&(n.style.marginLeft=24*this.getLevel()+\"px\"),(n=this.dom.field)&&(this.fieldEditable?(n.contentEditable=this.editable.field,n.spellcheck=!1,n.className=\"jsoneditor-field\"):(n.contentEditable=!1,n.className=\"jsoneditor-readonly\"),r=void 0!==this.index?this.index:void 0!==this.field?this.field:(r=this.editor.options.schema?e._findSchema(this.editor.options.schema,this.editor.options.schemaRefs||{},this.getPath()):void 0)&&r.title?r.title:this._hasChilds()?this.type:\"\",r=this._escapeHTML(r),document.activeElement===n&&r===this._unescapeHTML((0,u.getInnerText)(n))||(n.innerHTML=r),this._updateSchema());var r=this.dom.value;r&&(\"array\"===this.type||\"object\"===this.type?this.updateNodeName():(i=this._escapeHTML(this.value),document.activeElement===r&&i===this._unescapeHTML((0,u.getInnerText)(r))||(r.innerHTML=i)));var i=this.dom.tr;i&&(\"array\"===this.type||\"object\"===this.type?((0,u.addClassName)(i,\"jsoneditor-expandable\"),this.expanded?((0,u.addClassName)(i,\"jsoneditor-expanded\"),(0,u.removeClassName)(i,\"jsoneditor-collapsed\")):((0,u.addClassName)(i,\"jsoneditor-collapsed\"),(0,u.removeClassName)(i,\"jsoneditor-expanded\"))):((0,u.removeClassName)(i,\"jsoneditor-expandable\"),(0,u.removeClassName)(i,\"jsoneditor-expanded\"),(0,u.removeClassName)(i,\"jsoneditor-collapsed\"))),this._updateDomField(),this._updateDomValue(),t&&!0===t.updateIndexes&&this._updateDomIndexes(),t&&!0===t.recurse&&this.childs&&this.childs.forEach((function(e){e.updateDom(t)})),this.error&&this.updateError(),this.append&&this.append.updateDom(),this.showMore&&this.showMore.updateDom(),this._updateCssClassName()}},{key:\"_updateSchema\",value:function(){this.editor&&this.editor.options&&(this.schema=this.editor.options.schema?e._findSchema(this.editor.options.schema,this.editor.options.schemaRefs||{},this.getPath()):null,this.schema?this.enum=e._findEnum(this.schema):delete this.enum)}},{key:\"_updateDomIndexes\",value:function(){var e=this.childs;this.dom.value&&e&&(\"array\"===this.type?e.forEach((function(e,t){e.index=t,(e=e.dom.field)&&(e.textContent=t)})):\"object\"===this.type&&e.forEach((function(e){void 0!==e.index&&(delete e.index,void 0===e.field&&(e.field=\"\"))})))}},{key:\"_createDomValue\",value:function(){var e;return\"array\"===this.type?(e=document.createElement(\"div\")).textContent=\"[...]\":\"object\"===this.type?(e=document.createElement(\"div\")).textContent=\"{...}\":(!this.editable.value&&(0,u.isUrl)(this.value)?(e=document.createElement(\"a\")).href=this.value:((e=document.createElement(\"div\")).contentEditable=this.editable.value,e.spellcheck=!1),e.innerHTML=this._escapeHTML(this.value)),e}},{key:\"_createDomExpandButton\",value:function(){var e=document.createElement(\"button\");return e.type=\"button\",this._hasChilds()?(e.className=this.expanded?\"jsoneditor-button jsoneditor-expanded\":\"jsoneditor-button jsoneditor-collapsed\",e.title=(0,a.Iu)(\"expandTitle\")):(e.className=\"jsoneditor-button jsoneditor-invisible\",e.title=\"\"),e}},{key:\"_createDomTree\",value:function(){var e=this.dom,t=document.createElement(\"table\"),n=document.createElement(\"tbody\");t.style.borderCollapse=\"collapse\",t.className=\"jsoneditor-values\",t.appendChild(n);var r=document.createElement(\"tr\");return n.appendChild(r),(n=document.createElement(\"td\")).className=\"jsoneditor-tree\",r.appendChild(n),e.expand=this._createDomExpandButton(),n.appendChild(e.expand),e.tdExpand=n,(n=document.createElement(\"td\")).className=\"jsoneditor-tree\",r.appendChild(n),e.field=this._createDomField(),n.appendChild(e.field),e.tdField=n,(n=document.createElement(\"td\")).className=\"jsoneditor-tree\",r.appendChild(n),\"object\"!==this.type&&\"array\"!==this.type&&(n.appendChild(document.createTextNode(\":\")),n.className=\"jsoneditor-separator\"),e.tdSeparator=n,(n=document.createElement(\"td\")).className=\"jsoneditor-tree\",r.appendChild(n),e.value=this._createDomValue(),n.appendChild(e.value),e.tdValue=n,t}},{key:\"onEvent\",value:function(e){var t,n=e.type,r=e.target||e.srcElement,i=this.dom,s=this,o=this._hasChilds();r!==i.drag&&r!==i.menu||(\"mouseover\"===n?this.editor.highlighter.highlight(this):\"mouseout\"===n&&this.editor.highlighter.unhighlight()),\"click\"===n&&r===i.menu&&((t=s.editor.highlighter).highlight(s),t.lock(),(0,u.addClassName)(i.menu,\"jsoneditor-selected\"),this.showContextMenu(i.menu,(function(){(0,u.removeClassName)(i.menu,\"jsoneditor-selected\"),t.unlock(),t.unhighlight()}))),\"click\"===n&&r===i.expand&&o&&this._onExpand(d=e.ctrlKey),\"click\"!==n||e.target!==s.dom.tdColor&&e.target!==s.dom.color||this._showColorPicker(),\"change\"===n&&r===i.checkbox&&(this.dom.value.textContent=String(!this.value),this._getDomValue(),this._updateDomDefault()),\"change\"===n&&r===i.select&&(this.dom.value.innerHTML=this._escapeHTML(i.select.value),this._getDomValue(),this._updateDomValue());var a=i.value;if(r===a)switch(n){case\"blur\":case\"change\":this._getDomValue(),this._clearValueError(),this._updateDomValue();var c=this._escapeHTML(this.value);c!==this._unescapeHTML((0,u.getInnerText)(a))&&(a.innerHTML=c);break;case\"input\":this._getDomValue(),this._updateDomValue();break;case\"keydown\":case\"mousedown\":this.editor.selection=this.editor.getDomSelection();break;case\"click\":e.ctrlKey&&this.editable.value&&(0,u.isUrl)(this.value)&&(e.preventDefault(),window.open(this.value,\"_blank\",\"noopener\"));break;case\"keyup\":this._getDomValue(),this._updateDomValue();break;case\"cut\":case\"paste\":setTimeout((function(){s._getDomValue(),s._updateDomValue()}),1)}var l=i.field;if(r===l)switch(n){case\"blur\":this._getDomField(!0),this._updateDomField();var h=this._escapeHTML(this.field);h!==this._unescapeHTML((0,u.getInnerText)(l))&&(l.innerHTML=h);break;case\"input\":this._getDomField(),this._updateSchema(),this._updateDomField(),this._updateDomValue();break;case\"keydown\":case\"mousedown\":this.editor.selection=this.editor.getDomSelection();break;case\"keyup\":this._getDomField(),this._updateDomField();break;case\"cut\":case\"paste\":setTimeout((function(){s._getDomField(),s._updateDomField()}),1)}var d=i.tree;d&&r===d.parentNode&&\"click\"===n&&!e.hasMoved&&((void 0!==e.offsetX?e.offsetX<24*(this.getLevel()+1):e.pageX<(0,u.getAbsoluteLeft)(i.tdSeparator))||o?l&&((0,u.setEndOfContentEditable)(l),l.focus()):a&&!this.enum&&((0,u.setEndOfContentEditable)(a),a.focus())),(r!==i.tdExpand||o)&&r!==i.tdField&&r!==i.tdSeparator||\"click\"!==n||e.hasMoved||l&&((0,u.setEndOfContentEditable)(l),l.focus()),\"keydown\"===n&&this.onKeyDown(e),\"function\"==typeof this.editor.options.onEvent&&this._onEvent(e)}},{key:\"_onEvent\",value:function(e){var t=(n=e.target)===this.dom.field,n=n===this.dom.value||n===this.dom.checkbox||n===this.dom.select;(t||n)&&(t={field:this.getField(),path:this.getPath()},n&&!this._hasChilds()&&(t.value=this.getValue()),this.editor.options.onEvent(t,e))}},{key:\"onKeyDown\",value:function(t){var n,r,i,s,o,a,c,l,h,d,f,g,p,m,C,b,v,I=t.which||t.keyCode,A=t.target||t.srcElement,w=t.ctrlKey,x=t.shiftKey,E=t.altKey,k=!1,_=\"tree\"===this.editor.options.mode,T=0<this.editor.multiselection.nodes.length?this.editor.multiselection.nodes:[this],R=T[0],B=T[T.length-1];13===I?A===this.dom.value?this.editable.value&&!t.ctrlKey||(0,u.isUrl)(this.value)&&(window.open(this.value,\"_blank\",\"noopener\"),k=!0):A===this.dom.expand&&this._hasChilds()&&(this._onExpand(g=t.ctrlKey),A.focus(),k=!0):68===I?w&&_&&(e.onDuplicate(T),k=!0):69===I?w&&(this._onExpand(x),A.focus(),k=!0):77===I&&_?w&&(this.showContextMenu(A),k=!0):46===I&&_?w&&(e.onRemove(T),k=!0):45===I&&_?w&&!x?(this._onInsertBefore(),k=!0):w&&x&&(this._onInsertAfter(),k=!0):35===I?E&&((g=this._lastNode())&&g.focus(e.focusElement||this._getElementName(A)),k=!0):36===I?E&&((p=this._firstNode())&&p.focus(e.focusElement||this._getElementName(A)),k=!0):37===I?E&&!x?((p=this._previousElement(A))&&this.focus(this._getElementName(p)),k=!0):E&&x&&_&&(m=B.expanded?(m=B.getAppendDom())?m.nextSibling:void 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t,n,r;e&&(r=(n=(t=this.dom.tr.parentNode).parentNode).scrollTop,n.removeChild(t)),this.expanded?this.collapse(e):this.expand(e),e&&(n.appendChild(t),n.scrollTop=r)}},{key:\"_showColorPicker\",value:function(){var e,t;\"function\"==typeof this.editor.options.onColorPicker&&this.dom.color&&((e=this)._deleteDomColor(),e.updateDom(),t=(0,d.w)(this.dom.color,this.editor.getPopupAnchor()),this.editor.options.onColorPicker(t,this.value,(function(t){\"string\"==typeof t&&t!==e.value&&(e._deleteDomColor(),e.value=t,e.updateDom(),e._debouncedOnChangeValue())})))}},{key:\"getFieldNames\",value:function(e){return\"object\"===this.type?this.childs.filter((function(t){return t!==e})).map((function(e){return e.field})):[]}},{key:\"_onInsertBefore\",value:function(t,n,r){var i=this.editor.getDomSelection();(t=new e(this.editor,{field:void 0!==t?t:\"\",value:void 0!==n?n:\"\",type:r})).expand(!0),n=this.getInternalPath(),this.parent.insertBefore(t,this),this.editor.highlighter.unhighlight(),t.focus(\"field\"),r=this.editor.getDomSelection(),this.editor._onAction(\"insertBeforeNodes\",{nodes:[t],paths:[t.getInternalPath()],beforePath:n,parentPath:this.parent.getInternalPath(),oldSelection:i,newSelection:r})}},{key:\"_onInsertAfter\",value:function(t,n,r){var i=this.editor.getDomSelection();(n=new e(this.editor,{field:void 0!==t?t:\"\",value:void 0!==n?n:\"\",type:r})).expand(!0),this.parent.insertAfter(n,this),this.editor.highlighter.unhighlight(),n.focus(\"field\"),r=this.editor.getDomSelection(),this.editor._onAction(\"insertAfterNodes\",{nodes:[n],paths:[n.getInternalPath()],afterPath:this.getInternalPath(),parentPath:this.parent.getInternalPath(),oldSelection:i,newSelection:r})}},{key:\"_onAppend\",value:function(t,n,r){var i=this.editor.getDomSelection();(n=new e(this.editor,{field:void 0!==t?t:\"\",value:void 0!==n?n:\"\",type:r})).expand(!0),this.parent.appendChild(n),this.editor.highlighter.unhighlight(),n.focus(\"field\"),r=this.editor.getDomSelection(),this.editor._onAction(\"appendNodes\",{nodes:[n],paths:[n.getInternalPath()],parentPath:this.parent.getInternalPath(),oldSelection:i,newSelection:r})}},{key:\"_onChangeType\",value:function(e){var t,n,r=this.type;e!==r&&(t=this.editor.getDomSelection(),this.changeType(e),n=this.editor.getDomSelection(),this.editor._onAction(\"changeType\",{path:this.getInternalPath(),oldType:r,newType:e,oldSelection:t,newSelection:n}))}},{key:\"sort\",value:function(e,t){var n,r,i=!(2<arguments.length&&void 0!==arguments[2])||arguments[2];\"string\"==typeof e&&(e=(0,u.parsePath)(e)),this._hasChilds()&&(this.hideChilds(),n=this.childs,this.childs=this.childs.concat(),r=\"desc\"===t?-1:1,this.childs.sort(\"object\"===this.type?function(e,t){return r*h()(e.field,t.field)}:function(t,n){return t=t.getNestedChild(e),n=n.getNestedChild(e),t?n?(n=n.value,\"string\"!=typeof(t=t.value)&&\"string\"!=typeof n?n<t?r:t<n?-r:0:r*h()(t,n)):-r:r}),this._updateDomIndexes(),this.showChilds(),!0===i&&this.editor._onAction(\"sort\",{path:this.getInternalPath(),oldChilds:n,newChilds:this.childs}))}},{key:\"update\",value:function(e){var t=this.getInternalValue();this.setValue(e),this.editor._onAction(\"transform\",{path:this.getInternalPath(),oldValue:t,newValue:this.getInternalValue()})}},{key:\"_detachFromDom\",value:function(){var e=this.dom.tr?this.dom.tr.parentNode:void 0,t=(t=this.expanded?this.getAppendDom():this.getDom())&&t.parentNode?t.nextSibling:void 0;return this.hide({resetVisibleChilds:!1}),{table:e,nextTr:t}}},{key:\"_attachToDom\",value:function(e){e.table&&(e.nextTr?e.table.insertBefore(this.getDom(),e.nextTr):e.table.appendChild(this.getDom())),this.expanded&&this.showChilds()}},{key:\"transform\",value:function(e){if(this._hasChilds()){this.hideChilds();try{var t=this.getInternalValue(),n=this.getValue();n=this.editor.options.executeQuery(n,e),this.setValue(n),n=this.getInternalValue(),this.editor._onAction(\"transform\",{path:this.getInternalPath(),oldValue:t,newValue:n}),this.showChilds()}catch(e){this.showChilds(),this.editor._onError(e)}}}},{key:\"extract\",value:function(){this.editor.node.hideChilds(),this.hideChilds();try{var e=this.editor.node.getInternalValue();this.editor._setRoot(this);var t=this.editor.node.getInternalValue();this.editor._onAction(\"transform\",{path:this.editor.node.getInternalPath(),oldValue:e,newValue:t})}catch(e){this.editor._onError(e)}finally{this.updateDom({recurse:!0}),this.showChilds()}}},{key:\"getNestedChild\",value:function(e){for(var t=0,n=this;n&&t<e.length;)n=n.findChildByProperty(e[t]),t++;return n}},{key:\"findChildByProperty\",value:function(e){if(\"object\"===this.type)return this.childs.find((function(t){return t.field===e}))}},{key:\"getAppendDom\",value:function(){return this.append||(this.append=new S(this.editor),this.append.setParent(this)),this.append.getDom()}},{key:\"getShowMoreDom\",value:function(){return this.showMore||(this.showMore=new E(this.editor,this)),this.showMore.getDom()}},{key:\"nextSibling\",value:function(){var e=this.parent.childs.indexOf(this);return this.parent.childs[e+1]||this.parent.append}},{key:\"_previousNode\",value:function(){var t=null,n=this.getDom();if(n&&n.parentNode)for(var r=n;t=e.getNodeFromTarget(r=r.previousSibling),r&&t&&t instanceof S&&!t.isVisible(););return t}},{key:\"_nextNode\",value:function(){var t=null,n=this.getDom();if(n&&n.parentNode)for(var r=n;t=e.getNodeFromTarget(r=r.nextSibling),r&&t&&t instanceof S&&!t.isVisible(););return t}},{key:\"_firstNode\",value:function(){var t=null,n=this.getDom();return n&&n.parentNode&&(t=e.getNodeFromTarget(n=n.parentNode.firstChild)),t}},{key:\"_lastNode\",value:function(){var t=null,n=this.getDom();if(n&&n.parentNode){var r=n.parentNode.lastChild;for(t=e.getNodeFromTarget(r);r&&t&&!t.isVisible();)t=e.getNodeFromTarget(r=r.previousSibling)}return t}},{key:\"_previousElement\",value:function(e){var t=this.dom;switch(e){case t.value:if(this.fieldEditable)return t.field;case t.field:if(this._hasChilds())return t.expand;case t.expand:return t.menu;case t.menu:if(t.drag)return t.drag;default:return null}}},{key:\"_nextElement\",value:function(e){var t=this.dom;switch(e){case t.drag:return t.menu;case t.menu:if(this._hasChilds())return t.expand;case t.expand:if(this.fieldEditable)return t.field;case t.field:if(!this._hasChilds())return t.value;default:return null}}},{key:\"_getElementName\",value:function(e){var t=this;return Object.keys(this.dom).find((function(n){return t.dom[n]===e}))}},{key:\"_hasChilds\",value:function(){return\"array\"===this.type||\"object\"===this.type}},{key:\"addTemplates\",value:function(e,t){var n=this,r=n.editor.options.templates;null!=r&&(r.length&&e.push({type:\"separator\"}),r.forEach((function(r){e.push({text:r.text,className:r.className||\"jsoneditor-type-object\",title:r.title,click:(t?function(e,t){n._onAppend(e,t)}:function(e,t){n._onInsertBefore(e,t)}).bind(this,r.field,r.value)})})))}},{key:\"showContextMenu\",value:function(t,n){var r,s,o=this,c=[];this.editable.value&&c.push({text:(0,a.Iu)(\"type\"),title:(0,a.Iu)(\"typeTitle\"),className:\"jsoneditor-type-\"+this.type,submenu:[{text:(0,a.Iu)(\"auto\"),className:\"jsoneditor-type-auto\"+(\"auto\"===this.type?\" jsoneditor-selected\":\"\"),title:(0,a.Iu)(\"autoType\"),click:function(){o._onChangeType(\"auto\")}},{text:(0,a.Iu)(\"array\"),className:\"jsoneditor-type-array\"+(\"array\"===this.type?\" jsoneditor-selected\":\"\"),title:(0,a.Iu)(\"arrayType\"),click:function(){o._onChangeType(\"array\")}},{text:(0,a.Iu)(\"object\"),className:\"jsoneditor-type-object\"+(\"object\"===this.type?\" 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t,r=e.clone();return\"object\"===e.parent.type&&(t=e.parent.getFieldNames(),r.field=(0,u.findUniqueName)(e.field,t)),n.insertAfter(r,s),s=r})),1===e.length?\"object\"===o[0].parent.type?(o[0].dom.field.innerHTML=e[0]._escapeHTML(e[0].field),o[0].focus(\"field\")):o[0].focus():r.select(o),a=r.getDomSelection(),r._onAction(\"duplicateNodes\",{paths:e.map(A),clonePaths:o.map(A),afterPath:t.getInternalPath(),parentPath:n.getInternalPath(),oldSelection:i,newSelection:a}))},v.getNodeFromTarget=function(e){for(;e;){if(e.node)return e.node;e=e.parentNode}},v.targetIsColorPicker=function(e){var t=v.getNodeFromTarget(e);if(t)for(var n=e&&e.parentNode;n;){if(n===t.dom.color)return!0;n=n.parentNode}return!1},v.blurNodes=function(e){var t,n;Array.isArray(e)?(t=(n=e[0]).parent,n=n.getIndex(),(t.childs[n+e.length]?t.childs[n+e.length]:t.childs[n-1]||t).focus()):v.blurNodes([e])};var S=((x.prototype=new v).getDom=function(){var e=this.dom;if(e.tr)return e.tr;this._updateEditability();var 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s=[{text:(0,a.Iu)(\"appendText\"),title:(0,a.Iu)(\"appendTitleAuto\"),submenuTitle:(0,a.Iu)(\"appendSubmenuTitle\"),className:\"jsoneditor-insert\",click:function(){n._onAppend(\"\",\"\",\"auto\")},submenu:r}];this.editor.options.onCreateMenu&&(r=n.parent.getPath(),s=this.editor.options.onCreateMenu(s,{type:\"append\",path:r,paths:[r]})),new i.x(s,{close:t}).show(e,this.editor.getPopupAnchor())},x.prototype.onEvent=function(e){var t,n=e.type,r=e.target||e.srcElement,i=this.dom;r===i.menu&&(\"mouseover\"===n?this.editor.highlighter.highlight(this.parent):\"mouseout\"===n&&this.editor.highlighter.unhighlight()),\"click\"===n&&r===i.menu&&((t=this.editor.highlighter).highlight(this.parent),t.lock(),(0,u.addClassName)(i.menu,\"jsoneditor-selected\"),this.showContextMenu(i.menu,(function(){(0,u.removeClassName)(i.menu,\"jsoneditor-selected\"),t.unlock(),t.unhighlight()}))),\"keydown\"===n&&this.onKeyDown(e)},x);function x(e){this.editor=e,this.dom={}}var E=((k.prototype=new 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t=n(e.parentPath),r=n(e.afterPath);e.paths.map(n).forEach((function(e){var n,i=e.clone();\"object\"===t.type&&(n=t.getFieldNames(),i.field=(0,u.findUniqueName)(e.field,n)),t.insertAfter(i,r),r=i}))}},moveNodes:{undo:function(e){var t=n(e.oldParentPath),r=n(e.newParentPath),i=t.childs[e.oldIndex]||t.append;r.childs.slice(e.newIndex,e.newIndex+e.count).forEach((function(n,r){n.field=e.fieldNames[r],t.moveBefore(n,i)})),null===e.newParentPathRedo&&(e.newParentPathRedo=r.getInternalPath())},redo:function(e){var t=n(e.oldParentPathRedo),r=n(e.newParentPathRedo),i=r.childs[e.newIndexRedo]||r.append;t.childs.slice(e.oldIndexRedo,e.oldIndexRedo+e.count).forEach((function(t,n){t.field=e.fieldNames[n],r.moveBefore(t,i)}))}},sort:{undo:function(e){var t=n(e.path);t.hideChilds(),t.childs=e.oldChilds,t.updateDom({updateIndexes:!0}),t.showChilds()},redo:function(e){var t=n(e.path);t.hideChilds(),t.childs=e.newChilds,t.updateDom({updateIndexes:!0}),t.showChilds()}},transform:{undo:function(e){n(e.path).setInternalValue(e.oldValue)},redo:function(e){n(e.path).setInternalValue(e.newValue)}}}}var t;return(t=[{key:\"onChange\",value:function(){}},{key:\"add\",value:function(e,t){this.index++,this.history[this.index]={action:e,params:t,timestamp:new Date},this.index<this.history.length-1&&this.history.splice(this.index+1,this.history.length-this.index-1),this.onChange()}},{key:\"clear\",value:function(){this.history=[],this.index=-1,this.onChange()}},{key:\"canUndo\",value:function(){return 0<=this.index}},{key:\"canRedo\",value:function(){return this.index<this.history.length-1}},{key:\"undo\",value:function(){if(this.canUndo()){var e=this.history[this.index];if(e){var t=this.actions[e.action];if(t&&t.undo){if(t.undo(e.params),e.params.oldSelection)try{this.editor.setDomSelection(e.params.oldSelection)}catch(e){console.error(e)}}else console.error(new Error('unknown action \"'+e.action+'\"'))}this.index--,this.onChange()}}},{key:\"redo\",value:function(){if(this.canRedo()){this.index++;var e=this.history[this.index];if(e){var t=this.actions[e.action];if(t&&t.redo){if(t.redo(e.params),e.params.newSelection)try{this.editor.setDomSelection(e.params.newSelection)}catch(e){console.error(e)}}else console.error(new Error('unknown action \"'+e.action+'\"'))}this.onChange()}}},{key:\"destroy\",value:function(){this.editor=null,this.history=[],this.index=-1}}])&&function(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}(e.prototype,t),e}();var T=function(){function e(t,n){!function(t){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\")}(this);var r=this;this.editor=t,this.timeout=void 0,this.delay=200,this.lastText=void 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t,n;this.results&&(t=this.results.length-1,(n=null!==this.resultIndex?this.resultIndex-1:t)<0&&(n=t),this._setActiveResult(n,e))}},{key:\"_setActiveResult\",value:function(e,t){var n;if(this.activeResult&&(n=this.activeResult.node,\"field\"===this.activeResult.elem?delete n.searchFieldActive:delete n.searchValueActive,n.updateDom()),!this.results||!this.results[e])return this.resultIndex=void 0,void(this.activeResult=void 0);this.resultIndex=e;var r=this.results[this.resultIndex].node,i=this.results[this.resultIndex].elem;\"field\"===i?r.searchFieldActive=!0:r.searchValueActive=!0,this.activeResult=this.results[this.resultIndex],r.updateDom(),r.scrollTo((function(){t&&r.focus(i)}))}},{key:\"_clearDelay\",value:function(){void 0!==this.timeout&&(clearTimeout(this.timeout),delete this.timeout)}},{key:\"_onDelayedSearch\",value:function(e){this._clearDelay();var t=this;this.timeout=setTimeout((function(e){t._onSearch()}),this.delay)}},{key:\"_onSearch\",value:function(e){var t;if(this._clearDelay(),(t=0<(t=this.dom.search.value).length?t:void 0)!==this.lastText||e){this.lastText=t,this.results=this.editor.search(t),e=this.results[0]?this.results[0].node.MAX_SEARCH_RESULTS:1/0;var n=0;if(this.activeResult)for(var r=0;r<this.results.length;r++)if(this.results[r].node===this.activeResult.node){n=r;break}this._setActiveResult(n,!1),this.dom.results.textContent=void 0!==t?0===(t=this.results.length)?\"no\\xa0results\":1===t?\"1\\xa0result\":e<t?e+\"+\\xa0results\":t+\"\\xa0results\":\"\"}}},{key:\"_onKeyDown\",value:function(e){var t=e.which;27===t?(this.dom.search.value=\"\",this._onSearch(),e.preventDefault(),e.stopPropagation()):13===t&&(e.ctrlKey?this._onSearch(!0):e.shiftKey?this.previous():this.next(),e.preventDefault(),e.stopPropagation())}},{key:\"_onKeyUp\",value:function(e){var t=e.keyCode;27!==t&&13!==t&&this._onDelayedSearch(e)}},{key:\"clear\",value:function(){this.dom.search.value=\"\",this._onSearch()}},{key:\"forceSearch\",value:function(){this._onSearch(!0)}},{key:\"isEmpty\",value:function(){return\"\"===this.dom.search.value}},{key:\"destroy\",value:function(){this.editor=null,this.dom.container.removeChild(this.dom.wrapper),this.dom=null,this.results=null,this.activeResult=null,this._clearDelay()}}])&&function(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}(e.prototype,t),e}();var R=function(){function e(t,n){!function(t){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\")}(this),t&&(this.root=n,this.path=document.createElement(\"div\"),this.path.className=\"jsoneditor-treepath\",this.path.setAttribute(\"tabindex\",0),this.contentMenuClicked=!1,t.appendChild(this.path),this.reset())}var t;return(t=[{key:\"reset\",value:function(){this.path.textContent=(0,a.Iu)(\"selectNode\")}},{key:\"setPath\",value:function(e){var t=this;this.path.textContent=\"\",e&&e.length&&e.forEach((function(n,r){var s,o=document.createElement(\"span\");o.className=\"jsoneditor-treepath-element\",o.innerText=n.name,o.onclick=(function(e){this.selectionCallback&&this.selectionCallback(e)}).bind(t,n),t.path.appendChild(o),n.children.length&&((s=document.createElement(\"span\")).className=\"jsoneditor-treepath-seperator\",s.textContent=\"\\u25ba\",s.onclick=function(){t.contentMenuClicked=!0;var o=[];n.children.forEach((function(i){o.push({text:i.name,className:\"jsoneditor-type-modes\"+(e[r+1]+1&&e[r+1].name===i.name?\" jsoneditor-selected\":\"\"),click:(function(e,t){this.contextMenuCallback&&this.contextMenuCallback(e,t)}).bind(t,n,i.name)})})),new i.x(o,{limitHeight:!0}).show(s,t.root,!0)},t.path.appendChild(s)),r===e.length-1&&(o=(s||o).getBoundingClientRect().right,t.path.offsetWidth<o&&(t.path.scrollLeft=o),t.path.scrollLeft&&((o=document.createElement(\"span\")).className=\"jsoneditor-treepath-show-all-btn\",o.title=\"show all path\",o.textContent=\"...\",o.onclick=(function(e){(t.contentMenuClicked=!1,u.addClassName)(t.path,\"show-all\"),t.path.style.width=t.path.parentNode.getBoundingClientRect().width-10+\"px\",t.path.onblur=function(){if(t.contentMenuClicked)return t.contentMenuClicked=!1,void t.path.focus();(0,u.removeClassName)(t.path,\"show-all\"),t.path.onblur=void 0,t.path.style.width=\"\",t.setPath(e)}}).bind(t,e),t.path.insertBefore(o,t.path.firstChild)))}))}},{key:\"onSectionSelected\",value:function(e){\"function\"==typeof e&&(this.selectionCallback=e)}},{key:\"onContextMenuItemSelected\",value:function(e){\"function\"==typeof e&&(this.contextMenuCallback=e)}}])&&function(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}(e.prototype,t),e}(),B=(t=n(8037),n.n(t)),O=[{mode:\"tree\",mixin:t={create:function(e,t){if(!e)throw new Error(\"No container element provided.\");this.container=e,this.dom={},this.highlighter=new o,this.selection=void 0,this.multiselection={nodes:[]},this.validateSchema=null,this.validationSequence=0,this.errorNodes=[],this.lastSchemaErrors=void 0,this.node=null,this.focusTarget=null,this._setOptions(t),t.autocomplete&&(this.autocomplete=function(e){(e=e||{}).filter=e.filter||\"start\",e.trigger=e.trigger||\"keydown\",e.confirmKeys=e.confirmKeys||[39,35,9],e.caseSensitive=e.caseSensitive||!1;var t=\"\",n=\"\",i=document.createElement(\"div\");i.style.position=\"relative\",i.style.outline=\"0\",i.style.border=\"0\",i.style.margin=\"0\",i.style.padding=\"0\";var s,o,a=document.createElement(\"div\");function c(e){var 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n=this.options.length,r=t.substring(this.startFrom);o=t.substring(0,this.startFrom);for(var i=0;i<n;i++){var s=this.options[i];if(!e.caseSensitive&&0===s.toLowerCase().indexOf(r.toLowerCase())||e.caseSensitive&&0===s.indexOf(r)){this.elementHint.innerText=o+r+s.substring(r.length),this.elementHint.realInnerText=o+s;break}}a.style.left=l(o)+\"px\",m.refresh(r,this.options),this.elementHint.style.width=l(this.elementHint.innerText)+10+\"px\",\"hidden\"===a.style.visibility||(this.elementHint.style.width=l(this.elementHint.innerText)+a.clientWidth+\"px\")}},m=(h=a,d=[],u=0,f=-1,g={rs:p,hide:function(){h.style.visibility=\"hidden\"},refresh:function(t,n){h.style.visibility=\"hidden\",u=0,h.textContent=\"\";var i=window.innerHeight||document.documentElement.clientHeight,s=(o=h.parentNode.getBoundingClientRect()).top-6,o=i-o.bottom-6;d=[];var a=\"function\"==typeof e.filter?e.filter:r[e.filter];n=a?n.filter((function(n){return 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t,n=v.getNodeFromTarget(e.target);if(\"keydown\"===e.type&&this._onKeyDown(e),n&&\"focus\"===e.type&&(this.focusTarget=e.target,this.options.autocomplete&&\"focus\"===this.options.autocomplete.trigger&&this._showAutoComplete(e.target)),\"mousedown\"===e.type&&this._startDragDistance(e),\"mousemove\"!==e.type&&\"mouseup\"!==e.type&&\"click\"!==e.type||this._updateDragDistance(e),n&&this.options&&this.options.navigationBar&&n&&(\"keydown\"===e.type||\"mousedown\"===e.type)&&(t=this,setTimeout((function(){t._updateTreePath(n.getNodePath())}))),n&&n.selected){if(\"click\"===e.type){if(e.target===n.dom.menu)return void 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N=!(this.getInputHandler=function(){return T}),M=function(e,t,n){var r=e.clipboardData||window.clipboardData;if(r&&!c){var i=l||n?\"Text\":\"text/plain\";try{return t?!1!==r.setData(i,t):r.getData(i)}catch(e){if(!n)return M(e,t,!0)}}};r.addCommandKeyListener(n,t.onCommandKey.bind(t),t),r.addListener(n,\"select\",(function(e){var r;b||(m?m=!1:0===(r=n).selectionStart&&r.selectionEnd>=w.length&&r.value===w&&w&&r.selectionEnd!==x?(t.selectAll(),_()):p&&n.selectionStart!=S&&_())}),t),r.addListener(n,\"input\",B,t),r.addListener(n,\"cut\",L,t),r.addListener(n,\"copy\",P,t),r.addListener(n,\"paste\",F,t),\"oncut\"in n&&\"oncopy\"in n&&\"onpaste\"in n||r.addListener(e,\"keydown\",(function(e){if((!i.isMac||e.metaKey)&&e.ctrlKey)switch(e.keyCode){case 67:P(e);break;case 86:F(e);break;case 88:L(e)}}),t);var D=function(){var e;if(b&&t.onCompositionUpdate&&!t.$readOnly)return 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n},this.setCommandMode=function(e){A=e,n.readOnly=!1},this.setReadOnly=function(e){A||(n.readOnly=e)},this.setCopyWithEmptySelection=function(e){},this.onContextMenu=function(e){N=!0,_(),t._emit(\"nativecontextmenu\",{target:t,domEvent:e}),this.moveToMouse(e,!0)},this.moveToMouse=function(e,o){I=I||n.style.cssText,n.style.cssText=(o?\"z-index:100000;\":\"\")+(i.isIE?\"opacity:0.1;\":\"\")+\"text-indent: -\"+(S+x)*t.renderer.characterWidth*.5+\"px;\";var a=t.container.getBoundingClientRect(),c=(o=s.computedStyle(t.container),a.top+(parseInt(o.borderTopWidth)||0)),l=a.left+(parseInt(a.borderLeftWidth)||0),h=a.bottom-c-n.clientHeight-2;(a=function(e){s.translate(n,e.clientX-l-2,Math.min(e.clientY-c-2,h))})(e),\"mousedown\"==e.type&&(t.renderer.$isMousePressed=!0,clearTimeout(H),i.isWin&&r.capture(t.container,a,K))},this.onContextMenuClose=K,r.addListener(n,\"mouseup\",e=function(e){t.textInput.onContextMenu(e),K()},t),r.addListener(n,\"mousedown\",(function(e){e.preventDefault(),K()}),t),r.addListener(t.renderer.scroller,\"contextmenu\",e,t),r.addListener(n,\"contextmenu\",e,t),f&&(G=t,j=null,Z=!1,(V=n).addEventListener(\"keydown\",(function(e){j&&clearTimeout(j),Z=!0}),!0),V.addEventListener(\"keyup\",(function(e){j=setTimeout((function(){Z=!1}),100)}),!0),document.addEventListener(\"selectionchange\",X),G.on(\"destroy\",(function(){document.removeEventListener(\"selectionchange\",X)})))},t.$setUserAgentForTests=function(e,t){p=e,f=t}})),ace.define(\"ace/mouse/default_handlers\",[\"require\",\"exports\",\"module\",\"ace/lib/useragent\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/useragent\");function i(e){e.$clickSelection=null;var t=e.editor;t.setDefaultHandler(\"mousedown\",this.onMouseDown.bind(e)),t.setDefaultHandler(\"dblclick\",this.onDoubleClick.bind(e)),t.setDefaultHandler(\"tripleclick\",this.onTripleClick.bind(e)),t.setDefaultHandler(\"quadclick\",this.onQuadClick.bind(e)),t.setDefaultHandler(\"mousewheel\",this.onMouseWheel.bind(e)),[\"select\",\"startSelect\",\"selectEnd\",\"selectAllEnd\",\"selectByWordsEnd\",\"selectByLinesEnd\",\"dragWait\",\"dragWaitEnd\",\"focusWait\"].forEach((function(t){e[t]=this[t]}),this),e.selectByLines=this.extendSelectionBy.bind(e,\"getLineRange\"),e.selectByWords=this.extendSelectionBy.bind(e,\"getWordRange\")}function s(e,t){return(e.start.row==e.end.row?2*t.column-e.start.column-e.end.column:e.start.row!=e.end.row-1||e.start.column||e.end.column?2*t.row-e.start.row-e.end.row:t.column-4)<0?{cursor:e.start,anchor:e.end}:{cursor:e.end,anchor:e.start}}(function(){this.onMouseDown=function(e){var t=e.inSelection(),n=e.getDocumentPosition();this.mousedownEvent=e;var i=this.editor,s=e.getButton();return 0!==s?(!i.getSelectionRange().isEmpty()&&1!=s||i.selection.moveToPosition(n),void(2==s&&(i.textInput.onContextMenu(e.domEvent),r.isMozilla||e.preventDefault()))):(this.mousedownEvent.time=Date.now(),!t||i.isFocused()||(i.focus(),!this.$focusTimeout||this.$clickSelection||i.inMultiSelectMode)?(this.captureMouse(e),this.startSelect(n,1<e.domEvent._clicks),e.preventDefault()):(this.setState(\"focusWait\"),void this.captureMouse(e)))},this.startSelect=function(e,t){e=e||this.editor.renderer.screenToTextCoordinates(this.x,this.y);var n=this.editor;this.mousedownEvent&&(this.mousedownEvent.getShiftKey()?n.selection.selectToPosition(e):t||n.selection.moveToPosition(e),t||this.select(),n.renderer.scroller.setCapture&&n.renderer.scroller.setCapture(),n.setStyle(\"ace_selecting\"),this.setState(\"select\"))},this.select=function(){var e,t,n=this.editor,r=n.renderer.screenToTextCoordinates(this.x,this.y);this.$clickSelection&&(t=-1==(e=this.$clickSelection.comparePoint(r))?this.$clickSelection.end:1==e?this.$clickSelection.start:(r=(t=s(this.$clickSelection,r)).cursor,t.anchor),n.selection.setSelectionAnchor(t.row,t.column)),n.selection.selectToPosition(r),n.renderer.scrollCursorIntoView()},this.extendSelectionBy=function(e){var t,n,r=this.editor,i=r.renderer.screenToTextCoordinates(this.x,this.y),o=r.selection[e](i.row,i.column);this.$clickSelection&&(t=this.$clickSelection.comparePoint(o.start),e=this.$clickSelection.comparePoint(o.end),-1==t&&e<=0?(n=this.$clickSelection.end,o.end.row==i.row&&o.end.column==i.column||(i=o.start)):1==e&&0<=t?(n=this.$clickSelection.start,o.start.row==i.row&&o.start.column==i.column||(i=o.end)):n=-1==t&&1==e?(i=o.end,o.start):(i=(o=s(this.$clickSelection,i)).cursor,o.anchor),r.selection.setSelectionAnchor(n.row,n.column)),r.selection.selectToPosition(i),r.renderer.scrollCursorIntoView()},this.selectEnd=this.selectAllEnd=this.selectByWordsEnd=this.selectByLinesEnd=function(){this.$clickSelection=null,this.editor.unsetStyle(\"ace_selecting\"),this.editor.renderer.scroller.releaseCapture&&this.editor.renderer.scroller.releaseCapture()},this.focusWait=function(){var e=(t=this.mousedownEvent.y,e=this.y,Math.sqrt(Math.pow(this.x-this.mousedownEvent.x,2)+Math.pow(e-t,2))),t=Date.now();(0<e||t-this.mousedownEvent.time>this.$focusTimeout)&&this.startSelect(this.mousedownEvent.getDocumentPosition())},this.onDoubleClick=function(e){var t=e.getDocumentPosition(),n=this.editor;(e=n.session.getBracketRange(t))?(e.isEmpty()&&(e.start.column--,e.end.column++),this.setState(\"select\")):(e=n.selection.getWordRange(t.row,t.column),this.setState(\"selectByWords\")),this.$clickSelection=e,this.select()},this.onTripleClick=function(e){var t=e.getDocumentPosition(),n=this.editor;this.setState(\"selectByLines\"),(e=n.getSelectionRange()).isMultiLine()&&e.contains(t.row,t.column)?(this.$clickSelection=n.selection.getLineRange(e.start.row),this.$clickSelection.end=n.selection.getLineRange(e.end.row).end):this.$clickSelection=n.selection.getLineRange(t.row),this.select()},this.onQuadClick=function(e){var t=this.editor;t.selectAll(),this.$clickSelection=t.getSelectionRange(),this.setState(\"selectAll\")},this.onMouseWheel=function(e){if(!e.getAccelKey()){e.getShiftKey()&&e.wheelY&&!e.wheelX&&(e.wheelX=e.wheelY,e.wheelY=0);var t=this.editor;this.$lastScroll||(this.$lastScroll={t:0,vx:0,vy:0,allowed:0});var n=this.$lastScroll,r=e.domEvent.timeStamp,i=(a=r-n.t)?e.wheelX/a:n.vx,s=a?e.wheelY/a:n.vy;a<550&&(i=(i+n.vx)/2,s=(s+n.vy)/2);var o=Math.abs(i/s),a=!1;return 1<=o&&t.renderer.isScrollableBy(e.wheelX*e.speed,0)&&(a=!0),o<=1&&t.renderer.isScrollableBy(0,e.wheelY*e.speed)&&(a=!0),a?n.allowed=r:r-n.allowed<550&&(Math.abs(i)<=1.5*Math.abs(n.vx)&&Math.abs(s)<=1.5*Math.abs(n.vy)?(a=!0,n.allowed=r):n.allowed=0),n.t=r,n.vx=i,n.vy=s,a?(t.renderer.scrollBy(e.wheelX*e.speed,e.wheelY*e.speed),e.stop()):void 0}}}).call(i.prototype),t.DefaultHandlers=i})),ace.define(\"ace/tooltip\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";e(\"./lib/oop\");var r=e(\"./lib/dom\");function i(e){this.isOpen=!1,this.$element=null,this.$parentNode=e}(function(){this.$init=function(){return this.$element=r.createElement(\"div\"),this.$element.className=\"ace_tooltip\",this.$element.style.display=\"none\",this.$parentNode.appendChild(this.$element),this.$element},this.getElement=function(){return this.$element||this.$init()},this.setText=function(e){this.getElement().textContent=e},this.setHtml=function(e){this.getElement().innerHTML=e},this.setPosition=function(e,t){this.getElement().style.left=e+\"px\",this.getElement().style.top=t+\"px\"},this.setClassName=function(e){r.addCssClass(this.getElement(),e)},this.show=function(e,t,n){null!=e&&this.setText(e),null!=t&&null!=n&&this.setPosition(t,n),this.isOpen||(this.getElement().style.display=\"block\",this.isOpen=!0)},this.hide=function(){this.isOpen&&(this.getElement().style.display=\"none\",this.isOpen=!1)},this.getHeight=function(){return this.getElement().offsetHeight},this.getWidth=function(){return this.getElement().offsetWidth},this.destroy=function(){this.isOpen=!1,this.$element&&this.$element.parentNode&&this.$element.parentNode.removeChild(this.$element)}}).call(i.prototype),t.Tooltip=i})),ace.define(\"ace/mouse/default_gutter_handler\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\",\"ace/lib/oop\",\"ace/lib/event\",\"ace/tooltip\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/dom\"),i=e(\"../lib/oop\"),s=e(\"../lib/event\"),o=e(\"../tooltip\").Tooltip;function a(e){o.call(this,e)}i.inherits(a,o),(function(){this.setPosition=function(e,t){var n=window.innerWidth||document.documentElement.clientWidth,r=window.innerHeight||document.documentElement.clientHeight,i=this.getWidth(),s=this.getHeight();n<(e+=15)+i&&(e-=e+i-n),r<(t+=15)+s&&(t-=20+s),o.prototype.setPosition.call(this,e,t)}}).call(a.prototype),t.GutterHandler=function(e){var t,n,i,o=e.editor,c=o.renderer.$gutterLayer,l=new a(o.container);function h(){t=t&&clearTimeout(t),i&&(l.hide(),i=null,o._signal(\"hideGutterTooltip\",l),o.off(\"mousewheel\",h))}function d(e){l.setPosition(e.x,e.y)}e.editor.setDefaultHandler(\"guttermousedown\",(function(t){if(o.isFocused()&&0==t.getButton()&&\"foldWidgets\"!=c.getRegion(t)){var n=t.getDocumentPosition().row,r=o.session.selection;if(t.getShiftKey())r.selectTo(n,0);else{if(2==t.domEvent.detail)return o.selectAll(),t.preventDefault();e.$clickSelection=o.selection.getLineRange(n)}return e.setState(\"selectByLines\"),e.captureMouse(t),t.preventDefault()}})),e.editor.setDefaultHandler(\"guttermousemove\",(function(s){if(r.hasCssClass(s.domEvent.target||s.domEvent.srcElement,\"ace_fold-widget\"))return h();i&&e.$tooltipFollowsMouse&&d(s),n=s,t=t||setTimeout((function(){t=null,(n&&!e.isMousePressed?function(){var t=n.getDocumentPosition().row,r=c.$annotations[t];if(!r)return h();if(t==o.session.getLength()){t=o.renderer.pixelToScreenCoordinates(0,n.y).row;var s=n.$pos;if(t>o.session.documentToScreenRow(s.row,s.column))return h()}i!=r&&(i=r.text.join(\"<br/>\"),l.setHtml(i),l.show(),o._signal(\"showGutterTooltip\",l),o.on(\"mousewheel\",h),e.$tooltipFollowsMouse?d(n):(s=n.domEvent.target.getBoundingClientRect(),(r=l.getElement().style).left=s.right+\"px\",r.top=s.bottom+\"px\"))}:h)()}),50)})),s.addListener(o.renderer.$gutter,\"mouseout\",(function(e){n=null,i&&!t&&(t=setTimeout((function(){t=null,h()}),50))}),o),o.on(\"changeSession\",h)}})),ace.define(\"ace/mouse/mouse_event\",[\"require\",\"exports\",\"module\",\"ace/lib/event\",\"ace/lib/useragent\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/event\"),i=e(\"../lib/useragent\");t=t.MouseEvent=function(e,t){this.domEvent=e,this.editor=t,this.x=this.clientX=e.clientX,this.y=this.clientY=e.clientY,this.$pos=null,this.$inSelection=null,this.propagationStopped=!1,this.defaultPrevented=!1},(function(){this.stopPropagation=function(){r.stopPropagation(this.domEvent),this.propagationStopped=!0},this.preventDefault=function(){r.preventDefault(this.domEvent),this.defaultPrevented=!0},this.stop=function(){this.stopPropagation(),this.preventDefault()},this.getDocumentPosition=function(){return this.$pos||(this.$pos=this.editor.renderer.screenToTextCoordinates(this.clientX,this.clientY),this.$pos)},this.inSelection=function(){if(null!==this.$inSelection)return this.$inSelection;var e,t=this.editor.getSelectionRange();return t.isEmpty()?this.$inSelection=!1:(e=this.getDocumentPosition(),this.$inSelection=t.contains(e.row,e.column)),this.$inSelection},this.getButton=function(){return r.getButton(this.domEvent)},this.getShiftKey=function(){return this.domEvent.shiftKey},this.getAccelKey=i.isMac?function(){return this.domEvent.metaKey}:function(){return this.domEvent.ctrlKey}}).call(t.prototype)})),ace.define(\"ace/mouse/dragdrop_handler\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\",\"ace/lib/event\",\"ace/lib/useragent\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/dom\"),i=e(\"../lib/event\"),s=e(\"../lib/useragent\");function o(e){var t=e.editor,n=r.createElement(\"img\");n.src=\"data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\",s.isOpera&&(n.style.cssText=\"width:1px;height:1px;position:fixed;top:0;left:0;z-index:2147483647;opacity:0;\"),[\"dragWait\",\"dragWaitEnd\",\"startDrag\",\"dragReadyEnd\",\"onMouseDrag\"].forEach((function(t){e[t]=this[t]}),this),t.on(\"mousedown\",this.onMouseDown.bind(e));var o,c,l,h,d,u,f,g,p,m,C,b=t.container,v=0;function I(){var e,n,r,i,s,o,h,d,f=u;h=u=t.renderer.screenToTextCoordinates(c,l),o=f,d=Date.now(),s=!o||h.row!=o.row,o=!o||h.column!=o.column,!m||s||o?(t.moveCursorToPosition(h),m=d,C={x:c,y:l}):5<a(C.x,C.y,c,l)?m=null:200<=d-m&&(t.renderer.scrollCursorIntoView(),m=null),e=u,n=f,r=Date.now(),i=t.renderer.layerConfig.lineHeight,s=t.renderer.layerConfig.characterWidth,o=t.renderer.scroller.getBoundingClientRect(),h={x:{left:c-o.left,right:o.right-c},y:{top:l-o.top,bottom:o.bottom-l}},d=Math.min(h.x.left,h.x.right),f=Math.min(h.y.top,h.y.bottom),o={row:e.row,column:e.column},d/s<=2&&(o.column+=h.x.left<h.x.right?-3:2),f/i<=1&&(o.row+=h.y.top<h.y.bottom?-1:1),h=e.column!=o.column,n=!n||e.row!=n.row,(i=e.row!=o.row)||h&&!n?p?200<=r-p&&t.renderer.scrollCursorIntoView(o):p=r:p=null}function A(){d=t.selection.toOrientedRange(),o=t.session.addMarker(d,\"ace_selection\",t.getSelectionStyle()),t.clearSelection(),t.isFocused()&&t.renderer.$cursorLayer.setBlinking(!1),clearInterval(h),I(),h=setInterval(I,20),v=0,i.addListener(document,\"mousemove\",S)}function y(){clearInterval(h),t.session.removeMarker(o),o=null,t.selection.fromOrientedRange(d),t.isFocused()&&!g&&t.$resetCursorStyle(),v=0,m=p=u=d=null,i.removeListener(document,\"mousemove\",S)}this.onDragStart=function(e){if(this.cancelDrag||!b.draggable){var r=this;return setTimeout((function(){r.startSelect(),r.captureMouse(e)}),0),e.preventDefault()}d=t.getSelectionRange();var i=e.dataTransfer;i.effectAllowed=t.getReadOnly()?\"copy\":\"copyMove\",s.isOpera&&(t.container.appendChild(n),n.scrollTop=0),i.setDragImage&&i.setDragImage(n,0,0),s.isOpera&&t.container.removeChild(n),i.clearData(),i.setData(\"Text\",t.session.getTextRange()),g=!0,this.setState(\"drag\")},this.onDragEnd=function(e){b.draggable=!1,g=!1,this.setState(null),t.getReadOnly()||(e=e.dataTransfer.dropEffect,f||\"move\"!=e||t.session.remove(t.getSelectionRange()),t.$resetCursorStyle()),this.editor.unsetStyle(\"ace_dragging\"),this.editor.renderer.setCursorStyle(\"\")},this.onDragEnter=function(e){if(!t.getReadOnly()&&x(e.dataTransfer))return c=e.clientX,l=e.clientY,o||A(),v++,e.dataTransfer.dropEffect=f=E(e),i.preventDefault(e)},this.onDragOver=function(e){if(!t.getReadOnly()&&x(e.dataTransfer))return c=e.clientX,l=e.clientY,o||(A(),v++),null!==w&&(w=null),e.dataTransfer.dropEffect=f=E(e),i.preventDefault(e)},this.onDragLeave=function(e){if(--v<=0&&o)return y(),f=null,i.preventDefault(e)},this.onDrop=function(e){if(u){var n=e.dataTransfer;if(g)switch(f){case\"move\":d=d.contains(u.row,u.column)?{start:u,end:u}:t.moveText(d,u);break;case\"copy\":d=t.moveText(d,u,!0)}else n=n.getData(\"Text\"),d={start:u,end:t.session.insert(u,n)},t.focus(),f=null;return y(),i.preventDefault(e)}},i.addListener(b,\"dragstart\",this.onDragStart.bind(e),t),i.addListener(b,\"dragend\",this.onDragEnd.bind(e),t),i.addListener(b,\"dragenter\",this.onDragEnter.bind(e),t),i.addListener(b,\"dragover\",this.onDragOver.bind(e),t),i.addListener(b,\"dragleave\",this.onDragLeave.bind(e),t),i.addListener(b,\"drop\",this.onDrop.bind(e),t);var w=null;function S(){null==w&&(w=setTimeout((function(){null!=w&&o&&y()}),20))}function x(e){return!(e=e.types)||Array.prototype.some.call(e,(function(e){return\"text/plain\"==e||\"Text\"==e}))}function E(e){var t=[\"copy\",\"copymove\",\"all\",\"uninitialized\"],n=s.isMac?e.altKey:e.ctrlKey,r=\"uninitialized\";try{r=e.dataTransfer.effectAllowed.toLowerCase()}catch(e){}var i=\"none\";return n&&0<=t.indexOf(r)?i=\"copy\":0<=[\"move\",\"copymove\",\"linkmove\",\"all\",\"uninitialized\"].indexOf(r)?i=\"move\":0<=t.indexOf(r)&&(i=\"copy\"),i}}function a(e,t,n,r){return Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2))}(function(){this.dragWait=function(){Date.now()-this.mousedownEvent.time>this.editor.getDragDelay()&&this.startDrag()},this.dragWaitEnd=function(){this.editor.container.draggable=!1,this.startSelect(this.mousedownEvent.getDocumentPosition()),this.selectEnd()},this.dragReadyEnd=function(e){this.editor.$resetCursorStyle(),this.editor.unsetStyle(\"ace_dragging\"),this.editor.renderer.setCursorStyle(\"\"),this.dragWaitEnd()},this.startDrag=function(){this.cancelDrag=!1;var e=this.editor;e.container.draggable=!0,e.renderer.$cursorLayer.setBlinking(!1),e.setStyle(\"ace_dragging\"),e.renderer.setCursorStyle(s.isWin?\"default\":\"move\"),this.setState(\"dragReady\")},this.onMouseDrag=function(e){var t=this.editor.container;s.isIE&&\"dragReady\"==this.state&&3<a(this.mousedownEvent.x,this.mousedownEvent.y,this.x,this.y)&&t.dragDrop(),\"dragWait\"===this.state&&0<a(this.mousedownEvent.x,this.mousedownEvent.y,this.x,this.y)&&(t.draggable=!1,this.startSelect(this.mousedownEvent.getDocumentPosition()))},this.onMouseDown=function(e){var t,n,r;this.$dragEnabled&&(this.mousedownEvent=e,t=this.editor,r=e.inSelection(),n=e.getButton(),1===(e.domEvent.detail||1)&&0===n&&r&&(e.editor.inMultiSelectMode&&(e.getAccelKey()||e.getShiftKey())||(this.mousedownEvent.time=Date.now(),\"unselectable\"in(r=e.domEvent.target||e.domEvent.srcElement)&&(r.unselectable=\"on\"),t.getDragDelay()?(s.isWebKit&&(this.cancelDrag=!0,t.container.draggable=!0),this.setState(\"dragWait\")):this.startDrag(),this.captureMouse(e,this.onMouseDrag.bind(this)),e.defaultPrevented=!0)))}}).call(o.prototype),t.DragdropHandler=o})),ace.define(\"ace/mouse/touch_handler\",[\"require\",\"exports\",\"module\",\"ace/mouse/mouse_event\",\"ace/lib/event\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";var r=e(\"./mouse_event\").MouseEvent,i=e(\"../lib/event\"),s=e(\"../lib/dom\");t.addTouchListeners=function(e,t){var n,o,a,c,l,h,d,u,f,g=\"scroll\",p=0,m=0,C=0,b=0;function v(){f||function(){function e(e){var i,o=e.target.getAttribute(\"action\");if(\"more\"==o||!r)return r=!r,i=t.getCopyText(),e=t.session.getUndoManager().hasUndo(),void f.replaceChild(s.buildDom(r?[\"span\",!i&&[\"span\",{class:\"ace_mobile-button\",action:\"selectall\"},\"Select All\"],i&&[\"span\",{class:\"ace_mobile-button\",action:\"copy\"},\"Copy\"],i&&[\"span\",{class:\"ace_mobile-button\",action:\"cut\"},\"Cut\"],n&&[\"span\",{class:\"ace_mobile-button\",action:\"paste\"},\"Paste\"],e&&[\"span\",{class:\"ace_mobile-button\",action:\"undo\"},\"Undo\"],[\"span\",{class:\"ace_mobile-button\",action:\"find\"},\"Find\"],[\"span\",{class:\"ace_mobile-button\",action:\"openCommandPallete\"},\"Pallete\"]]:[\"span\"]),f.firstChild);\"paste\"==o?n.readText().then((function(e){t.execCommand(o,e)})):o&&(\"cut\"!=o&&\"copy\"!=o||(n?n.writeText(t.getCopyText()):document.execCommand(\"copy\")),t.execCommand(o)),f.firstChild.style.display=\"none\",r=!1,\"openCommandPallete\"!=o&&t.focus()}var n=window.navigator&&window.navigator.clipboard,r=!1;f=s.buildDom([\"div\",{class:\"ace_mobile-menu\",ontouchstart:function(e){g=\"menu\",e.stopPropagation(),e.preventDefault(),t.textInput.focus()},ontouchend:function(t){t.stopPropagation(),t.preventDefault(),e(t)},onclick:e},[\"span\"],[\"span\",{class:\"ace_mobile-button\",action:\"more\"},\"...\"]],t.container)}();var e=t.renderer.textToScreenCoordinates((i=t.selection.cursor).row,i.column),n=t.renderer.textToScreenCoordinates(0,0).pageX,r=t.renderer.scrollLeft,i=t.container.getBoundingClientRect();f.style.top=e.pageY-i.top-3+\"px\",e.pageX-i.left<i.width-70?(f.style.left=\"\",f.style.right=\"10px\"):(f.style.right=\"\",f.style.left=n+r-i.left+\"px\"),f.style.display=\"\",f.firstChild.style.display=\"none\",t.on(\"input\",I)}function I(e){f&&(f.style.display=\"none\"),t.off(\"input\",I)}function A(){l=null,clearTimeout(l);var e=t.selection.getRange(),n=e.contains(d.row,d.column);!e.isEmpty()&&n||(t.selection.moveToPosition(d),t.selection.selectWord()),g=\"wait\",v()}i.addListener(e,\"contextmenu\",(function(e){u&&t.textInput.getElement().focus()}),t),i.addListener(e,\"touchstart\",(function(e){var i=e.touches;if(l||1<i.length)return clearTimeout(l),l=null,a=-1,void(g=\"zoom\");u=t.$mouseHandler.isMousePressed=!0;var s=t.renderer.layerConfig.lineHeight,h=t.renderer.layerConfig.lineHeight,f=e.timeStamp;c=f;var v=(S=i[0]).clientX,I=S.clientY;Math.abs(n-v)+Math.abs(o-I)>s&&(a=-1),n=e.clientX=v,o=e.clientY=I,C=b=0;var y=new r(e,t);if(d=y.getDocumentPosition(),f-a<500&&1==i.length&&!p)m++,e.preventDefault(),e.button=0,function(){l=null,clearTimeout(l),t.selection.moveToPosition(d);var e=2<=m?t.selection.getLineRange(d.row):t.session.getBracketRange(d);e&&!e.isEmpty()?t.selection.setRange(e):t.selection.selectWord(),g=\"wait\"}();else{m=0;var w=t.selection.cursor,S=t.selection.isEmpty()?w:t.selection.anchor;if(v=t.renderer.$cursorLayer.getPixelPosition(w,!0),I=t.renderer.$cursorLayer.getPixelPosition(S,!0),y=t.renderer.scroller.getBoundingClientRect(),S=function(e,t){return(e/=h)*e+(t=t/s-.75)*t},e.clientX<y.left)return void(g=\"zoom\");v=S(e.clientX-y.left-v.left+(w=t.renderer.scrollLeft),e.clientY-y.top-v.top+(i=t.renderer.layerConfig.offset)),i=S(e.clientX-y.left-I.left+w,e.clientY-y.top-I.top+i),v<3.5&&i<3.5&&(g=i<v?\"cursor\":\"anchor\"),g=i<3.5?\"anchor\":v<3.5?\"cursor\":\"scroll\",l=setTimeout(A,450)}a=f}),t),i.addListener(e,\"touchend\",(function(e){u=t.$mouseHandler.isMousePressed=!1,h&&clearInterval(h),\"zoom\"==g?(g=\"\",p=0):l?(t.selection.moveToPosition(d),p=0,v()):\"scroll\"==g?(p+=60,h=setInterval((function(){p--<=0&&(clearInterval(h),h=null),Math.abs(C)<.01&&(C=0),Math.abs(b)<.01&&(b=0),p<20&&(C*=.9),p<20&&(b*=.9);var e=t.session.getScrollTop();t.renderer.scrollBy(10*C,10*b),e==t.session.getScrollTop()&&(p=0)}),10),I()):v(),clearTimeout(l),l=null}),t),i.addListener(e,\"touchmove\",(function(e){if(l&&(clearTimeout(l),l=null),!(1<(h=e.touches).length||\"zoom\"==g)){var i=n-(d=h[0]).clientX,s=o-d.clientY;if(\"wait\"==g){if(!(4<i*i+s*s))return e.preventDefault();g=\"cursor\"}n=d.clientX,o=d.clientY,e.clientX=d.clientX,e.clientY=d.clientY;var a,h,d=(h=e.timeStamp)-c;c=h,\"scroll\"==g?((a=new r(e,t)).speed=1,a.wheelX=i,a.wheelY=s,10*Math.abs(i)<Math.abs(s)&&(i=0),10*Math.abs(s)<Math.abs(i)&&(s=0),0!=d&&(C=i/d,b=s/d),t._emit(\"mousewheel\",a),a.propagationStopped||(C=b=0)):(a=new r(e,t).getDocumentPosition(),\"cursor\"==g?t.selection.moveCursorToPosition(a):\"anchor\"==g&&t.selection.setSelectionAnchor(a.row,a.column),t.renderer.scrollCursorIntoView(a),e.preventDefault())}}),t)}})),ace.define(\"ace/lib/net\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";var r=e(\"./dom\");t.get=function(e,t){var n=new XMLHttpRequest;n.open(\"GET\",e,!0),n.onreadystatechange=function(){4===n.readyState&&t(n.responseText)},n.send(null)},t.loadScript=function(e,t){var n=r.getDocumentHead(),i=document.createElement(\"script\");i.src=e,n.appendChild(i),i.onload=i.onreadystatechange=function(e,n){!n&&i.readyState&&\"loaded\"!=i.readyState&&\"complete\"!=i.readyState||(i=i.onload=i.onreadystatechange=null,n||t())}},t.qualifyURL=function(e){var t=document.createElement(\"a\");return t.href=e,t.href}})),ace.define(\"ace/lib/event_emitter\",[\"require\",\"exports\",\"module\"],(function(e,t,n){\"use strict\";function r(){this.propagationStopped=!0}function i(){this.defaultPrevented=!0}var s={};s._emit=s._dispatchEvent=function(e,t){this._eventRegistry||(this._eventRegistry={}),this._defaultHandlers||(this._defaultHandlers={});var n=this._eventRegistry[e]||[],s=this._defaultHandlers[e];if(n.length||s){\"object\"==typeof t&&t||(t={}),t.type||(t.type=e),t.stopPropagation||(t.stopPropagation=r),t.preventDefault||(t.preventDefault=i),n=n.slice();for(var o=0;o<n.length&&(n[o](t,this),!t.propagationStopped);o++);return s&&!t.defaultPrevented?s(t,this):void 0}},s._signal=function(e,t){var n=(this._eventRegistry||{})[e];if(n){n=n.slice();for(var r=0;r<n.length;r++)n[r](t,this)}},s.once=function(e,t){var n=this;if(this.on(e,(function r(){n.off(e,r),t.apply(null,arguments)})),!t)return new Promise((function(e){t=e}))},s.setDefaultHandler=function(e,t){var n,r,i=this._defaultHandlers;(i=i||(this._defaultHandlers={_disabled_:{}}))[e]&&(r=i[e],(n=i._disabled_[e])||(i._disabled_[e]=n=[]),n.push(r),-1!=(r=n.indexOf(t))&&n.splice(r,1)),i[e]=t},s.removeDefaultHandler=function(e,t){var n,r=this._defaultHandlers;r&&(n=r._disabled_[e],r[e]==t?n&&this.setDefaultHandler(e,n.pop()):!n||-1!=(t=n.indexOf(t))&&n.splice(t,1))},s.on=s.addEventListener=function(e,t,n){this._eventRegistry=this._eventRegistry||{};var r=this._eventRegistry[e];return-1==(r=r||(this._eventRegistry[e]=[])).indexOf(t)&&r[n?\"unshift\":\"push\"](t),t},s.off=s.removeListener=s.removeEventListener=function(e,t){this._eventRegistry=this._eventRegistry||{},!(e=this._eventRegistry[e])||-1!==(t=e.indexOf(t))&&e.splice(t,1)},s.removeAllListeners=function(e){e||(this._eventRegistry=this._defaultHandlers=void 0),this._eventRegistry&&(this._eventRegistry[e]=void 0),this._defaultHandlers&&(this._defaultHandlers[e]=void 0)},t.EventEmitter=s})),ace.define(\"ace/lib/app_config\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/event_emitter\"],(function(e,t,n){var r=e(\"./oop\"),i=e(\"./event_emitter\").EventEmitter,s={setOptions:function(e){Object.keys(e).forEach((function(t){this.setOption(t,e[t])}),this)},getOptions:function(e){var t,n={};return e?Array.isArray(e)||(n=e,e=Object.keys(n)):(t=this.$options,e=Object.keys(t).filter((function(e){return!t[e].hidden}))),e.forEach((function(e){n[e]=this.getOption(e)}),this),n},setOption:function(e,t){if(this[\"$\"+e]!==t){var n=this.$options[e];return n?n.forwardTo?this[n.forwardTo]&&this[n.forwardTo].setOption(e,t):(n.handlesSet||(this[\"$\"+e]=t),void(n&&n.set&&n.set.call(this,t))):o('misspelled option \"'+e+'\"')}},getOption:function(e){var t=this.$options[e];return t?t.forwardTo?this[t.forwardTo]&&this[t.forwardTo].getOption(e):t&&t.get?t.get.call(this):this[\"$\"+e]:o('misspelled option \"'+e+'\"')}};function o(e){\"undefined\"!=typeof console&&console.warn&&console.warn.apply(console,arguments)}function a(e,t){var n=new Error(e);n.data=t,\"object\"==typeof console&&console.error&&console.error(n),setTimeout((function(){throw n}))}(function(){r.implement(this,i),this.defineOptions=function(e,t,n){return e.$options||(this.$defaultOptions[t]=e.$options={}),Object.keys(n).forEach((function(t){var r=n[t];\"string\"==typeof r&&(r={forwardTo:r}),r.name||(r.name=t),\"initialValue\"in(e.$options[r.name]=r)&&(e[\"$\"+r.name]=r.initialValue)})),r.implement(e,s),this},this.resetOptions=function(e){Object.keys(e.$options).forEach((function(t){var n=e.$options[t];\"value\"in n&&e.setOption(t,n.value)}))},this.setDefaultValue=function(e,t,n){if(!e){for(e in this.$defaultOptions)if(this.$defaultOptions[e][t])break;if(!this.$defaultOptions[e][t])return!1}var r=this.$defaultOptions[e]||(this.$defaultOptions[e]={});r[t]&&(r.forwardTo?this.setDefaultValue(r.forwardTo,t,n):r[t].value=n)},this.setDefaultValues=function(e,t){Object.keys(t).forEach((function(n){this.setDefaultValue(e,n,t[n])}),this)},this.warn=o,this.reportError=a}).call((e=function(){this.$defaultOptions={}}).prototype),t.AppConfig=e})),ace.define(\"ace/config\",[\"require\",\"exports\",\"module\",\"ace/lib/lang\",\"ace/lib/oop\",\"ace/lib/net\",\"ace/lib/app_config\"],(function(e,t,r){var i=e(\"./lib/lang\"),s=(e(\"./lib/oop\"),e(\"./lib/net\")),o=e(\"./lib/app_config\").AppConfig;r.exports=t=new o;var a=function(){return this||\"undefined\"!=typeof window&&window}(),c={packaged:!1,workerPath:null,modePath:null,themePath:null,basePath:\"\",suffix:\".js\",$moduleUrls:{},loadWorkerFromBlob:!0,sharedPopups:!1};t.get=function(e){if(!c.hasOwnProperty(e))throw new Error(\"Unknown config key: \"+e);return c[e]},t.set=function(e,t){if(c.hasOwnProperty(e))c[e]=t;else if(0==this.setDefaultValue(\"\",e,t))throw new Error(\"Unknown config key: \"+e)},t.all=function(){return i.copyObject(c)},t.$modes={},t.moduleUrl=function(e,t){if(c.$moduleUrls[e])return c.$moduleUrls[e];var n=e.split(\"/\"),r=\"snippets\"==(t=t||n[n.length-2]||\"\")?\"/\":\"-\",i=n[n.length-1];return\"worker\"==t&&\"-\"==r&&(e=new RegExp(\"^\"+t+\"[\\\\-_]|[\\\\-_]\"+t+\"$\",\"g\"),i=i.replace(e,\"\")),(!i||i==t)&&1<n.length&&(i=n[n.length-2]),null==(n=c[t+\"Path\"])?n=c.basePath:\"/\"==r&&(t=r=\"\"),n&&\"/\"!=n.slice(-1)&&(n+=\"/\"),n+t+r+i+this.get(\"suffix\")},t.setModuleUrl=function(e,t){return c.$moduleUrls[e]=t},t.$loading={},t.loadModule=function(n,r){var i,o;Array.isArray(n)&&(o=n[0],n=n[1]);try{i=e(n)}catch(r){}if(i&&!t.$loading[n])return r&&r(i);if(t.$loading[n]||(t.$loading[n]=[]),t.$loading[n].push(r),!(1<t.$loading[n].length)){if(r=function(){e([n],(function(e){t._emit(\"load.module\",{name:n,module:e});var r=t.$loading[n];t.$loading[n]=null,r.forEach((function(t){t&&t(e)}))}))},!t.get(\"packaged\"))return r();s.loadScript(t.moduleUrl(n,o),r),l()}};var l=function(){c.basePath||c.workerPath||c.modePath||c.themePath||Object.keys(c.$moduleUrls).length||(console.error(\"Unable to infer path to ace from script src,\",\"use ace.config.set('basePath', 'path') to enable dynamic loading of modes and themes\",\"or with webpack use ace/webpack-resolver\"),l=function(){})};function h(i){if(a&&a.document){c.packaged=i||e.packaged||r.packaged||a.define&&n.amdD.packaged;for(var s,o={},l=\"\",h=((i=document.currentScript||document._currentScript)&&i.ownerDocument||document).getElementsByTagName(\"script\"),d=0;d<h.length;d++){var u=h[d],f=u.src||u.getAttribute(\"src\");if(f){for(var g=u.attributes,p=0,m=g.length;p<m;p++){var C=g[p];0===C.name.indexOf(\"data-ace-\")&&(o[C.name.replace(/^data-ace-/,\"\").replace(/-(.)/g,(function(e,t){return t.toUpperCase()}))]=C.value)}(f=f.match(/^(.*)\\/ace(\\-\\w+)?\\.js(\\?|$)/))&&(l=f[1])}}for(s in l&&(o.base=o.base||l,o.packaged=!0),o.basePath=o.base,o.workerPath=o.workerPath||o.base,o.modePath=o.modePath||o.base,o.themePath=o.themePath||o.base,delete o.base,o)void 0!==o[s]&&t.set(s,o[s])}}h(!0),t.init=h,t.version=\"1.4.12\"})),ace.define(\"ace/mouse/mouse_handler\",[\"require\",\"exports\",\"module\",\"ace/lib/event\",\"ace/lib/useragent\",\"ace/mouse/default_handlers\",\"ace/mouse/default_gutter_handler\",\"ace/mouse/mouse_event\",\"ace/mouse/dragdrop_handler\",\"ace/mouse/touch_handler\",\"ace/config\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/event\"),i=e(\"../lib/useragent\"),s=e(\"./default_handlers\").DefaultHandlers,o=e(\"./default_gutter_handler\").GutterHandler,a=e(\"./mouse_event\").MouseEvent,c=e(\"./dragdrop_handler\").DragdropHandler,l=e(\"./touch_handler\").addTouchListeners,h=e(\"../config\");(function(){this.onMouseEvent=function(e,t){this.editor._emit(e,new a(t,this.editor))},this.onMouseMove=function(e,t){var n=this.editor._eventRegistry&&this.editor._eventRegistry.mousemove;n&&n.length&&this.editor._emit(e,new a(t,this.editor))},this.onMouseWheel=function(e,t){var n=new a(t,this.editor);n.speed=2*this.$scrollSpeed,n.wheelX=t.wheelX,n.wheelY=t.wheelY,this.editor._emit(e,n)},this.setState=function(e){this.state=e},this.captureMouse=function(e,t){this.x=e.x,this.y=e.y,this.isMousePressed=!0;var n=this.editor,s=this.editor.renderer;function o(e){if(e){if(i.isWebKit&&!e.which&&l.releaseMouse)return l.releaseMouse();l.x=e.clientX,l.y=e.clientY,t&&t(e),l.mouseEvent=new a(e,l.editor),l.$mouseMoved=!0}}function c(e){n.off(\"beforeEndOperation\",d),clearInterval(u),h(),l[l.state+\"End\"]&&l[l.state+\"End\"](e),l.state=\"\",l.isMousePressed=s.$isMousePressed=!1,s.$keepTextAreaAtCursor&&s.$moveTextAreaToCursor(),l.$onCaptureMouseMove=l.releaseMouse=null,e&&l.onMouseEvent(\"mouseup\",e),n.endOperation()}s.$isMousePressed=!0;var l=this,h=function(){l[l.state]&&l[l.state](),l.$mouseMoved=!1};if(i.isOldIE&&\"dblclick\"==e.domEvent.type)return setTimeout((function(){c(e)}));var d=function(e){l.releaseMouse&&n.curOp.command.name&&n.curOp.selectionChanged&&(l[l.state+\"End\"]&&l[l.state+\"End\"](),l.state=\"\",l.releaseMouse())};n.on(\"beforeEndOperation\",d),n.startOperation({command:{name:\"mouse\"}}),l.$onCaptureMouseMove=o,l.releaseMouse=r.capture(this.editor.container,o,c);var u=setInterval(h,20)},this.releaseMouse=null,this.cancelContextMenu=function(){var e=(function(t){t&&t.domEvent&&\"contextmenu\"!=t.domEvent.type||(this.editor.off(\"nativecontextmenu\",e),t&&t.domEvent&&r.stopEvent(t.domEvent))}).bind(this);setTimeout(e,10),this.editor.on(\"nativecontextmenu\",e)},this.destroy=function(){this.releaseMouse&&this.releaseMouse()}}).call((e=function(e){var t=this;function n(t){document.hasFocus&&document.hasFocus()&&(e.isFocused()||document.activeElement!=(e.textInput&&e.textInput.getElement()))||window.focus(),e.focus()}this.editor=e,new s(this),new o(this),new c(this);var a=e.renderer.getMouseEventTarget();r.addListener(a,\"click\",this.onMouseEvent.bind(this,\"click\"),e),r.addListener(a,\"mousemove\",this.onMouseMove.bind(this,\"mousemove\"),e),r.addMultiMouseDownListener([a,e.renderer.scrollBarV&&e.renderer.scrollBarV.inner,e.renderer.scrollBarH&&e.renderer.scrollBarH.inner,e.textInput&&e.textInput.getElement()].filter(Boolean),[400,300,250],this,\"onMouseEvent\",e),r.addMouseWheelListener(e.container,this.onMouseWheel.bind(this,\"mousewheel\"),e),l(e.container,e);var h=e.renderer.$gutter;r.addListener(h,\"mousedown\",this.onMouseEvent.bind(this,\"guttermousedown\"),e),r.addListener(h,\"click\",this.onMouseEvent.bind(this,\"gutterclick\"),e),r.addListener(h,\"dblclick\",this.onMouseEvent.bind(this,\"gutterdblclick\"),e),r.addListener(h,\"mousemove\",this.onMouseEvent.bind(this,\"guttermousemove\"),e),r.addListener(a,\"mousedown\",n,e),r.addListener(h,\"mousedown\",n,e),i.isIE&&e.renderer.scrollBarV&&(r.addListener(e.renderer.scrollBarV.element,\"mousedown\",n,e),r.addListener(e.renderer.scrollBarH.element,\"mousedown\",n,e)),e.on(\"mousemove\",(function(n){var r,i;t.state||t.$dragDelay||!t.$dragEnabled||(r=e.renderer.screenToTextCoordinates(n.x,n.y),i=e.session.selection.getRange(),n=e.renderer,!i.isEmpty()&&i.insideStart(r.row,r.column)?n.setCursorStyle(\"default\"):n.setCursorStyle(\"\"))}),e)}).prototype),h.defineOptions(e.prototype,\"mouseHandler\",{scrollSpeed:{initialValue:2},dragDelay:{initialValue:i.isMac?150:0},dragEnabled:{initialValue:!0},focusTimeout:{initialValue:0},tooltipFollowsMouse:{initialValue:!0}}),t.MouseHandler=e})),ace.define(\"ace/mouse/fold_handler\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/dom\");t.FoldHandler=function(e){e.on(\"click\",(function(t){var n=t.getDocumentPosition(),i=e.session;(n=i.getFoldAt(n.row,n.column,1))&&(t.getAccelKey()?i.removeFold(n):i.expandFold(n),t.stop()),(t=t.domEvent&&t.domEvent.target)&&r.hasCssClass(t,\"ace_inline_button\")&&r.hasCssClass(t,\"ace_toggle_wrap\")&&(i.setOption(\"wrap\",!i.getUseWrapMode()),e.renderer.scrollCursorIntoView())})),e.on(\"gutterclick\",(function(t){var n,r;\"foldWidgets\"==e.renderer.$gutterLayer.getRegion(t)&&(n=t.getDocumentPosition().row,(r=e.session).foldWidgets&&r.foldWidgets[n]&&e.session.onFoldWidgetClick(n,t),e.isFocused()||e.focus(),t.stop())})),e.on(\"gutterdblclick\",(function(t){var n,r,i;\"foldWidgets\"==e.renderer.$gutterLayer.getRegion(t)&&(i=t.getDocumentPosition().row,(r=(r=(n=e.session).getParentFoldRangeData(i,!0)).range||r.firstRange)&&((i=n.getFoldAt(i=r.start.row,n.getLine(i).length,1))?n.removeFold(i):(n.addFold(\"...\",r),e.renderer.scrollCursorIntoView({row:r.start.row,column:0}))),t.stop())}))}})),ace.define(\"ace/keyboard/keybinding\",[\"require\",\"exports\",\"module\",\"ace/lib/keys\",\"ace/lib/event\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/keys\"),i=e(\"../lib/event\");(function(){this.setDefaultHandler=function(e){this.removeKeyboardHandler(this.$defaultHandler),this.$defaultHandler=e,this.addKeyboardHandler(e,0)},this.setKeyboardHandler=function(e){var t=this.$handlers;if(t[t.length-1]!=e){for(;t[t.length-1]&&t[t.length-1]!=this.$defaultHandler;)this.removeKeyboardHandler(t[t.length-1]);this.addKeyboardHandler(e,1)}},this.addKeyboardHandler=function(e,t){var n;e&&(\"function\"!=typeof e||e.handleKeyboard||(e.handleKeyboard=e),-1!=(n=this.$handlers.indexOf(e))&&this.$handlers.splice(n,1),null==t?this.$handlers.push(e):this.$handlers.splice(t,0,e),-1==n&&e.attach&&e.attach(this.$editor))},this.removeKeyboardHandler=function(e){var t=this.$handlers.indexOf(e);return-1!=t&&(this.$handlers.splice(t,1),e.detach&&e.detach(this.$editor),!0)},this.getKeyboardHandler=function(){return this.$handlers[this.$handlers.length-1]},this.getStatusText=function(){var e=this.$data,t=e.editor;return this.$handlers.map((function(n){return n.getStatusText&&n.getStatusText(t,e)||\"\"})).filter(Boolean).join(\" \")},this.$callKeyboardHandlers=function(e,t,n,r){for(var s,o=!1,a=this.$editor.commands,c=this.$handlers.length;c--&&!((s=this.$handlers[c].handleKeyboard(this.$data,e,t,n,r))&&s.command&&((o=\"null\"==s.command||a.exec(s.command,this.$editor,s.args,r))&&r&&-1!=e&&1!=s.passEvent&&1!=s.command.passEvent&&i.stopEvent(r),o)););return o||-1!=e||(s={command:\"insertstring\"},o=a.exec(\"insertstring\",this.$editor,t)),o&&this.$editor._signal&&this.$editor._signal(\"keyboardActivity\",s),o},this.onCommandKey=function(e,t,n){var i=r.keyCodeToString(n);return this.$callKeyboardHandlers(t,i,n,e)},this.onTextInput=function(e){return this.$callKeyboardHandlers(-1,e)}}).call((e=function(e){this.$editor=e,this.$data={editor:e},this.$handlers=[],this.setDefaultHandler(e.commands)}).prototype),t.KeyBinding=e})),ace.define(\"ace/lib/bidiutil\",[\"require\",\"exports\",\"module\"],(function(e,t,n){\"use strict\";var r=0,i=0,s=!1,o=!1,a=!1,c=[[0,3,0,1,0,0,0],[0,3,0,1,2,2,0],[0,3,0,17,2,0,1],[0,3,5,5,4,1,0],[0,3,21,21,4,0,1],[0,3,5,5,4,2,0]],l=[[2,0,1,1,0,1,0],[2,0,1,1,0,2,0],[2,0,2,1,3,2,0],[2,0,2,33,3,1,1]],h=11,d=18,u=[d,d,d,d,d,d,d,d,d,6,5,6,8,5,d,d,d,d,d,d,d,d,d,d,d,d,d,d,5,5,5,6,8,4,4,h,h,h,4,4,4,4,4,10,9,10,9,9,2,2,2,2,2,2,2,2,2,2,9,4,4,4,4,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,4,4,4,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,4,4,4,d,d,d,d,d,d,5,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,d,9,4,h,h,h,h,4,4,4,4,0,4,4,d,4,4,h,h,2,2,4,0,4,4,4,2,0,4,4,4,4,4],f=[8,8,8,8,8,8,8,8,8,8,8,d,d,d,0,1,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,8,5,13,14,15,16,17,9,h,h,h,h,h,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,9,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,8];function g(e,t,n){if(!(i<e))if(1!=e||1!=r||o)for(var s,a,c,l,h=n.length,d=0;d<h;){if(t[d]>=e){for(s=d+1;s<h&&t[s]>=e;)s++;for(a=d,c=s-1;a<c;a++,c--)l=n[a],n[a]=n[c],n[c]=l;d=s}d++}else n.reverse()}function p(e){var t=e.charCodeAt(0),n=t>>8;return 0==n?191<t?0:u[t]:5==n?/[\\u0591-\\u05f4]/.test(e)?1:0:6==n?/[\\u0610-\\u061a\\u064b-\\u065f\\u06d6-\\u06e4\\u06e7-\\u06ed]/.test(e)?12:/[\\u0660-\\u0669\\u066b-\\u066c]/.test(e)?3:1642==t?h:/[\\u06f0-\\u06f9]/.test(e)?2:7:32==n&&t<=8287?f[255&t]:254==n&&65136<=t?7:4}t.L=0,t.R=1,t.EN=2,t.ON_R=3,t.AN=4,t.R_H=5,t.B=6,t.RLE=7,t.DOT=\"\\xb7\",t.doBidiReorder=function(e,n,u){if(e.length<2)return{};var f=e.split(\"\"),m=new Array(f.length),C=new Array(f.length),b=[];r=u?1:0,function(e,t,n,u){var f,g,m,C,b=r?l:c,v=0,I=-1,A=null,y=null,w=[];if(!u)for(A=0,u=[];A<n;A++)u[A]=p(e[A]);for(i=r,a=o=s=!1,y=0;y<n;y++){if(f=v,w[y]=g=function(e,t,n,i){var c,l,u,f=t[i];switch(f){case 0:case 1:s=!1;case 4:case 3:return f;case 2:return s?3:2;case 7:return s=!0,1;case 8:return 4;case 9:return i<1||i+1>=t.length||2!=(c=n[i-1])&&3!=c||2!=(g=t[i+1])&&3!=g?4:(s&&(g=3),g==c?g:4);case 10:return 2==(c=0<i?n[i-1]:5)&&i+1<t.length&&2==t[i+1]?2:4;case h:if(0<i&&2==n[i-1])return 2;if(s)return 4;for(u=i+1,l=t.length;u<l&&t[u]==h;)u++;return u<l&&2==t[u]?2:4;case 12:for(l=t.length,u=i+1;u<l&&12==t[u];)u++;var g;return u<l&&(c=t[u],(g=1425<=(g=e[i])&&g<=2303||64286==g)&&(1==c||7==c))?1:i<1||5==(c=t[i-1])?4:n[i-1];case 5:return o=!(s=!1),r;case 6:return a=!0,4;case 13:case 14:case 16:case 17:case 15:s=!1;case d:return 4}}(e,u,w,y),C=240&(v=b[f][g]),t[y]=m=b[v&=15][5],0<C)if(16==C){for(A=I;A<y;A++)t[A]=1;I=-1}else I=-1;if(b[v][6])-1==I&&(I=y);else if(-1<I){for(A=I;A<y;A++)t[A]=m;I=-1}5==u[y]&&(t[y]=0),i|=m}if(a)for(A=0;A<n;A++)if(6==u[A]){t[A]=r;for(var S=A-1;0<=S&&8==u[S];S--)t[S]=r}}(f,b,f.length,n);for(var v=0;v<m.length;m[v]=v,v++);for(g(2,b,m),g(1,b,m),v=0;v<m.length-1;v++)3===n[v]?b[v]=t.AN:1===b[v]&&(n[v]>7&&n[v]<13||4===n[v]||n[v]===d)?b[v]=t.ON_R:0<v&&\"\\u0644\"===f[v-1]&&/\\u0622|\\u0623|\\u0625|\\u0627/.test(f[v])&&(b[v-1]=b[v]=t.R_H,v++);for(f[f.length-1]===t.DOT&&(b[f.length-1]=t.B),\"\\u202b\"===f[0]&&(b[0]=t.RLE),v=0;v<m.length;v++)C[v]=b[m[v]];return{logicalFromVisual:m,bidiLevels:C}},t.hasBidiCharacters=function(e,t){for(var n=!1,r=0;r<e.length;r++)t[r]=p(e.charAt(r)),n||1!=t[r]&&7!=t[r]&&3!=t[r]||(n=!0);return n},t.getVisualFromLogicalIdx=function(e,t){for(var n=0;n<t.logicalFromVisual.length;n++)if(t.logicalFromVisual[n]==e)return n;return 0}})),ace.define(\"ace/bidihandler\",[\"require\",\"exports\",\"module\",\"ace/lib/bidiutil\",\"ace/lib/lang\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/bidiutil\"),i=e(\"./lib/lang\"),s=/[\\u0590-\\u05f4\\u0600-\\u06ff\\u0700-\\u08ac\\u202B]/;(function(){this.isBidiRow=function(e,t,n){return!!this.seenBidi&&(e!==this.currentRow&&(this.currentRow=e,this.updateRowLine(t,n),this.updateBidiMap()),this.bidiMap.bidiLevels)},this.onChange=function(e){this.seenBidi?this.currentRow=null:\"insert\"==e.action&&s.test(e.lines.join(\"\\n\"))&&(this.seenBidi=!0,this.currentRow=null)},this.getDocumentRow=function(){var e=0,t=this.session.$screenRowCache;return!t.length||0<=(t=this.session.$getRowCacheIndex(t,this.currentRow))&&(e=this.session.$docRowCache[t]),e},this.getSplitIndex=function(){var e=0,t=this.session.$screenRowCache;if(t.length)for(var n,r=this.session.$getRowCacheIndex(t,this.currentRow);0<this.currentRow-e&&(n=this.session.$getRowCacheIndex(t,this.currentRow-e-1))===r;)r=n,e++;else e=this.currentRow;return e},this.updateRowLine=function(e,t){void 0===e&&(e=this.getDocumentRow());var n=e===this.session.getLength()-1?this.EOF:this.EOL;this.wrapIndent=0,this.line=this.session.getLine(e),this.isRtlDir=this.$isRtl||this.line.charAt(0)===this.RLE,this.session.$useWrapMode?((e=this.session.$wrapData[e])&&(void 0===t&&(t=this.getSplitIndex()),0<t&&e.length?(this.wrapIndent=e.indent,this.wrapOffset=this.wrapIndent*this.charWidths[r.L],this.line=t<e.length?this.line.substring(e[t-1],e[t]):this.line.substring(e[e.length-1])):this.line=this.line.substring(0,e[t])),t==e.length&&(this.line+=this.showInvisibles?n:r.DOT)):this.line+=this.showInvisibles?n:r.DOT;var s,o=this.session,a=0;this.line=this.line.replace(/\\t|[\\u1100-\\u2029, \\u202F-\\uFFE6]/g,(function(e,t){return\"\\t\"===e||o.isFullWidth(e.charCodeAt(0))?(s=\"\\t\"===e?o.getScreenTabSize(t+a):2,a+=s-1,i.stringRepeat(r.DOT,s)):e})),this.isRtlDir&&(this.fontMetrics.$main.textContent=this.line.charAt(this.line.length-1)==r.DOT?this.line.substr(0,this.line.length-1):this.line,this.rtlLineOffset=this.contentWidth-this.fontMetrics.$main.getBoundingClientRect().width)},this.updateBidiMap=function(){var e=[];this.bidiMap=r.hasBidiCharacters(this.line,e)||this.isRtlDir?r.doBidiReorder(this.line,e,this.isRtlDir):{}},this.markAsDirty=function(){this.currentRow=null},this.updateCharacterWidths=function(e){var t;this.characterWidth!==e.$characterSize.width&&(this.fontMetrics=e,t=this.characterWidth=e.$characterSize.width,e=e.$measureCharWidth(\"\\u05d4\"),this.charWidths[r.L]=this.charWidths[r.EN]=this.charWidths[r.ON_R]=t,this.charWidths[r.R]=this.charWidths[r.AN]=e,this.charWidths[r.R_H]=.45*e,this.charWidths[r.B]=this.charWidths[r.RLE]=0,this.currentRow=null)},this.setShowInvisibles=function(e){this.showInvisibles=e,this.currentRow=null},this.setEolChar=function(e){this.EOL=e},this.setContentWidth=function(e){this.contentWidth=e},this.isRtlLine=function(e){return!!this.$isRtl||(null!=e?this.session.getLine(e).charAt(0)==this.RLE:this.isRtlDir)},this.setRtlDirection=function(e,t){for(var n=e.getCursorPosition(),r=e.selection.getSelectionAnchor().row;r<=n.row;r++)t||e.session.getLine(r).charAt(0)!==e.session.$bidiHandler.RLE?t&&e.session.getLine(r).charAt(0)!==e.session.$bidiHandler.RLE&&e.session.doc.insert({column:0,row:r},e.session.$bidiHandler.RLE):e.session.doc.removeInLine(r,0,1)},this.getPosLeft=function(e){e-=this.wrapIndent;var t=this.line.charAt(0)===this.RLE?1:0,n=t<e?this.session.getOverwrite()?e:e-1:t,i=r.getVisualFromLogicalIdx(n,this.bidiMap),s=this.bidiMap.bidiLevels,o=0;!this.session.getOverwrite()&&e<=t&&s[i]%2!=0&&i++;for(var a=0;a<i;a++)o+=this.charWidths[s[a]];return!this.session.getOverwrite()&&t<e&&s[i]%2==0&&(o+=this.charWidths[s[i]]),this.wrapIndent&&(o+=this.isRtlDir?-1*this.wrapOffset:this.wrapOffset),this.isRtlDir&&(o+=this.rtlLineOffset),o},this.getSelections=function(e,t){var n,r=this.bidiMap,i=r.bidiLevels,s=[],o=0,a=Math.min(e,t)-this.wrapIndent,c=Math.max(e,t)-this.wrapIndent,l=!1,h=!1,d=0;this.wrapIndent&&(o+=this.isRtlDir?-1*this.wrapOffset:this.wrapOffset);for(var u,f=0;f<i.length;f++)n=i[f],(l=a<=(u=r.logicalFromVisual[f])&&u<c)&&!h?d=o:!l&&h&&s.push({left:d,width:o-d}),o+=this.charWidths[n],h=l;if(l&&f===i.length&&s.push({left:d,width:o-d}),this.isRtlDir)for(var g=0;g<s.length;g++)s[g].left+=this.rtlLineOffset;return s},this.offsetToCol=function(e){this.isRtlDir&&(e-=this.rtlLineOffset);var t=0,n=(e=Math.max(e,0),0),r=0,i=this.bidiMap.bidiLevels,s=this.charWidths[i[r]];for(this.wrapIndent&&(e-=this.isRtlDir?-1*this.wrapOffset:this.wrapOffset);n+s/2<e;){if(n+=s,r===i.length-1){s=0;break}s=this.charWidths[i[++r]]}return 0===(t=0<r&&i[r-1]%2!=0&&i[r]%2==0?(e<n&&r--,this.bidiMap.logicalFromVisual[r]):0<r&&i[r-1]%2==0&&i[r]%2!=0?1+(n<e?this.bidiMap.logicalFromVisual[r]:this.bidiMap.logicalFromVisual[r-1]):this.isRtlDir&&r===i.length-1&&0===s&&i[r-1]%2==0||!this.isRtlDir&&0===r&&i[r]%2!=0?1+this.bidiMap.logicalFromVisual[r]:(0<r&&i[r-1]%2!=0&&0!==s&&r--,this.bidiMap.logicalFromVisual[r]))&&this.isRtlDir&&t++,t+this.wrapIndent}}).call((e=function(e){this.session=e,this.bidiMap={},this.currentRow=null,this.bidiUtil=r,this.charWidths=[],this.EOL=\"\\xac\",this.showInvisibles=!0,this.isRtlDir=!1,this.$isRtl=!1,this.line=\"\",this.wrapIndent=0,this.EOF=\"\\xb6\",this.RLE=\"\\u202b\",this.contentWidth=0,this.fontMetrics=null,this.rtlLineOffset=0,this.wrapOffset=0,this.isMoveLeftOperation=!1,this.seenBidi=s.test(e.getValue())}).prototype),t.BidiHandler=e})),ace.define(\"ace/selection\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/lang\",\"ace/lib/event_emitter\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/oop\"),i=e(\"./lib/lang\"),s=e(\"./lib/event_emitter\").EventEmitter,o=e(\"./range\").Range;(function(){r.implement(this,s),this.isEmpty=function(){return this.$isEmpty||this.anchor.row==this.lead.row&&this.anchor.column==this.lead.column},this.isMultiLine=function(){return!this.$isEmpty&&this.anchor.row!=this.cursor.row},this.getCursor=function(){return this.lead.getPosition()},this.setSelectionAnchor=function(e,t){this.$isEmpty=!1,this.anchor.setPosition(e,t)},this.getAnchor=this.getSelectionAnchor=function(){return this.$isEmpty?this.getSelectionLead():this.anchor.getPosition()},this.getSelectionLead=function(){return this.lead.getPosition()},this.isBackwards=function(){var e=this.anchor,t=this.lead;return e.row>t.row||e.row==t.row&&e.column>t.column},this.getRange=function(){var e=this.anchor,t=this.lead;return this.$isEmpty?o.fromPoints(t,t):this.isBackwards()?o.fromPoints(t,e):o.fromPoints(e,t)},this.clearSelection=function(){this.$isEmpty||(this.$isEmpty=!0,this._emit(\"changeSelection\"))},this.selectAll=function(){this.$setSelection(0,0,Number.MAX_VALUE,Number.MAX_VALUE)},this.setRange=this.setSelectionRange=function(e,t){var n=t?e.end:e.start;this.$setSelection(n.row,n.column,(e=t?e.start:e.end).row,e.column)},this.$setSelection=function(e,t,n,r){var i,s;this.$silent||(i=this.$isEmpty,s=this.inMultiSelectMode,this.$silent=!0,this.$cursorChanged=this.$anchorChanged=!1,this.anchor.setPosition(e,t),this.cursor.setPosition(n,r),this.$isEmpty=!o.comparePoints(this.anchor,this.cursor),this.$silent=!1,this.$cursorChanged&&this._emit(\"changeCursor\"),(this.$cursorChanged||this.$anchorChanged||i!=this.$isEmpty||s)&&this._emit(\"changeSelection\"))},this.$moveSelection=function(e){var t=this.lead;this.$isEmpty&&this.setSelectionAnchor(t.row,t.column),e.call(this)},this.selectTo=function(e,t){this.$moveSelection((function(){this.moveCursorTo(e,t)}))},this.selectToPosition=function(e){this.$moveSelection((function(){this.moveCursorToPosition(e)}))},this.moveTo=function(e,t){this.clearSelection(),this.moveCursorTo(e,t)},this.moveToPosition=function(e){this.clearSelection(),this.moveCursorToPosition(e)},this.selectUp=function(){this.$moveSelection(this.moveCursorUp)},this.selectDown=function(){this.$moveSelection(this.moveCursorDown)},this.selectRight=function(){this.$moveSelection(this.moveCursorRight)},this.selectLeft=function(){this.$moveSelection(this.moveCursorLeft)},this.selectLineStart=function(){this.$moveSelection(this.moveCursorLineStart)},this.selectLineEnd=function(){this.$moveSelection(this.moveCursorLineEnd)},this.selectFileEnd=function(){this.$moveSelection(this.moveCursorFileEnd)},this.selectFileStart=function(){this.$moveSelection(this.moveCursorFileStart)},this.selectWordRight=function(){this.$moveSelection(this.moveCursorWordRight)},this.selectWordLeft=function(){this.$moveSelection(this.moveCursorWordLeft)},this.getWordRange=function(e,t){var n;return void 0===t&&(e=(n=e||this.lead).row,t=n.column),this.session.getWordRange(e,t)},this.selectWord=function(){this.setSelectionRange(this.getWordRange())},this.selectAWord=function(){var e=this.getCursor();e=this.session.getAWordRange(e.row,e.column),this.setSelectionRange(e)},this.getLineRange=function(e,t){var n=\"number\"==typeof e?e:this.lead.row;return e=(e=this.session.getFoldLine(n))?(n=e.start.row,e.end.row):n,!0===t?new o(n,0,e,this.session.getLine(e).length):new o(n,0,e+1,0)},this.selectLine=function(){this.setSelectionRange(this.getLineRange())},this.moveCursorUp=function(){this.moveCursorBy(-1,0)},this.moveCursorDown=function(){this.moveCursorBy(1,0)},this.wouldMoveIntoSoftTab=function(e,t,n){var r=e.column,i=e.column+t;return n<0&&(r=e.column-t,i=e.column),this.session.isTabStop(e)&&this.doc.getLine(e.row).slice(r,i).split(\" \").length-1==t},this.moveCursorLeft=function(){var e,t=this.lead.getPosition();(e=this.session.getFoldAt(t.row,t.column,-1))?this.moveCursorTo(e.start.row,e.start.column):0===t.column?0<t.row&&this.moveCursorTo(t.row-1,this.doc.getLine(t.row-1).length):(e=this.session.getTabSize(),this.wouldMoveIntoSoftTab(t,e,-1)&&!this.session.getNavigateWithinSoftTabs()?this.moveCursorBy(0,-e):this.moveCursorBy(0,-1))},this.moveCursorRight=function(){var e,t=this.lead.getPosition();(e=this.session.getFoldAt(t.row,t.column,1))?this.moveCursorTo(e.end.row,e.end.column):this.lead.column==this.doc.getLine(this.lead.row).length?this.lead.row<this.doc.getLength()-1&&this.moveCursorTo(this.lead.row+1,0):(e=this.session.getTabSize(),this.wouldMoveIntoSoftTab(t=this.lead,e,1)&&!this.session.getNavigateWithinSoftTabs()?this.moveCursorBy(0,e):this.moveCursorBy(0,1))},this.moveCursorLineStart=function(){var e,t=this.lead.column,n=this.session.documentToScreenRow(e=this.lead.row,t);n=this.session.screenToDocumentPosition(n,0),(e=this.session.getDisplayLine(e,null,n.row,n.column).match(/^\\s*/))[0].length==t||this.session.$useEmacsStyleLineStart||(n.column+=e[0].length),this.moveCursorToPosition(n)},this.moveCursorLineEnd=function(){var e=this.lead,t=this.session.getDocumentLastRowColumnPosition(e.row,e.column);this.lead.column==t.column&&(e=this.session.getLine(t.row),t.column!=e.length||0<(e=e.search(/\\s+$/))&&(t.column=e)),this.moveCursorTo(t.row,t.column)},this.moveCursorFileEnd=function(){var e=this.doc.getLength()-1,t=this.doc.getLine(e).length;this.moveCursorTo(e,t)},this.moveCursorFileStart=function(){this.moveCursorTo(0,0)},this.moveCursorLongWordRight=function(){var e=this.lead.row,t=this.lead.column,n=this.doc.getLine(e),r=n.substring(t);this.session.nonTokenRe.lastIndex=0,this.session.tokenRe.lastIndex=0;var i=this.session.getFoldAt(e,t,1);if(i)this.moveCursorTo(i.end.row,i.end.column);else{if(this.session.nonTokenRe.exec(r)&&(t+=this.session.nonTokenRe.lastIndex,this.session.nonTokenRe.lastIndex=0,r=n.substring(t)),t>=n.length)return this.moveCursorTo(e,n.length),this.moveCursorRight(),void(e<this.doc.getLength()-1&&this.moveCursorWordRight());this.session.tokenRe.exec(r)&&(t+=this.session.tokenRe.lastIndex,this.session.tokenRe.lastIndex=0),this.moveCursorTo(e,t)}},this.moveCursorLongWordLeft=function(){var e=this.lead.row,t=this.lead.column;if(n=this.session.getFoldAt(e,t,-1))this.moveCursorTo(n.start.row,n.start.column);else{var n=this.session.getFoldStringAt(e,t,-1);if(null==n&&(n=this.doc.getLine(e).substring(0,t)),n=i.stringReverse(n),this.session.nonTokenRe.lastIndex=0,this.session.tokenRe.lastIndex=0,this.session.nonTokenRe.exec(n)&&(t-=this.session.nonTokenRe.lastIndex,n=n.slice(this.session.nonTokenRe.lastIndex),this.session.nonTokenRe.lastIndex=0),t<=0)return this.moveCursorTo(e,0),this.moveCursorLeft(),void(0<e&&this.moveCursorWordLeft());this.session.tokenRe.exec(n)&&(t-=this.session.tokenRe.lastIndex,this.session.tokenRe.lastIndex=0),this.moveCursorTo(e,t)}},this.$shortWordEndIndex=function(e){var t,n=0,r=/\\s/,i=this.session.tokenRe;if(i.lastIndex=0,this.session.tokenRe.exec(e))n=this.session.tokenRe.lastIndex;else{for(;(t=e[n])&&r.test(t);)n++;if(n<1)for(i.lastIndex=0;(t=e[n])&&!i.test(t);)if(i.lastIndex=0,n++,r.test(t)){if(2<n){n--;break}for(;(t=e[n])&&r.test(t);)n++;if(2<n)break}}return i.lastIndex=0,n},this.moveCursorShortWordRight=function(){var e=this.lead.row,t=this.lead.column,n=this.doc.getLine(e),r=n.substring(t),i=this.session.getFoldAt(e,t,1);if(i)return this.moveCursorTo(i.end.row,i.end.column);if(t==n.length){for(var s=this.doc.getLength();e++,r=this.doc.getLine(e),e<s&&/^\\s*$/.test(r););/^\\s+/.test(r)||(r=\"\"),t=0}n=this.$shortWordEndIndex(r),this.moveCursorTo(e,t+n)},this.moveCursorShortWordLeft=function(){var e=this.lead.row,t=this.lead.column;if(r=this.session.getFoldAt(e,t,-1))return this.moveCursorTo(r.start.row,r.start.column);var n=this.session.getLine(e).substring(0,t);if(0===t){for(;e--,n=this.doc.getLine(e),0<e&&/^\\s*$/.test(n););t=n.length,/\\s+$/.test(n)||(n=\"\")}var r=i.stringReverse(n);return r=this.$shortWordEndIndex(r),this.moveCursorTo(e,t-r)},this.moveCursorWordRight=function(){this.session.$selectLongWords?this.moveCursorLongWordRight():this.moveCursorShortWordRight()},this.moveCursorWordLeft=function(){this.session.$selectLongWords?this.moveCursorLongWordLeft():this.moveCursorShortWordLeft()},this.moveCursorBy=function(e,t){var n,r=this.session.documentToScreenPosition(this.lead.row,this.lead.column);0===t&&(0!==e&&(this.session.$bidiHandler.isBidiRow(r.row,this.lead.row)?(i=this.session.$bidiHandler.getPosLeft(r.column),r.column=Math.round(i/this.session.$bidiHandler.charWidths[0])):i=r.column*this.session.$bidiHandler.charWidths[0]),this.$desiredColumn?r.column=this.$desiredColumn:this.$desiredColumn=r.column),0!=e&&this.session.lineWidgets&&this.session.lineWidgets[this.lead.row]&&(n=this.session.lineWidgets[this.lead.row],e<0?e-=n.rowsAbove||0:0<e&&(e+=n.rowCount-(n.rowsAbove||0)));var i=this.session.screenToDocumentPosition(r.row+e,r.column,i);this.moveCursorTo(i.row,i.column+t,0===t)},this.moveCursorToPosition=function(e){this.moveCursorTo(e.row,e.column)},this.moveCursorTo=function(e,t,n){var r=this.session.getFoldAt(e,t,1);r&&(e=r.start.row,t=r.start.column),this.$keepDesiredColumnOnChange=!0,r=this.session.getLine(e),/[\\uDC00-\\uDFFF]/.test(r.charAt(t))&&r.charAt(t-1)&&(this.lead.row==e&&this.lead.column==t+1?--t:t+=1),this.lead.setPosition(e,t),this.$keepDesiredColumnOnChange=!1,n||(this.$desiredColumn=null)},this.moveCursorToScreen=function(e,t,n){t=this.session.screenToDocumentPosition(e,t),this.moveCursorTo(t.row,t.column,n)},this.detach=function(){this.lead.detach(),this.anchor.detach(),this.session=this.doc=null},this.fromOrientedRange=function(e){this.setSelectionRange(e,e.cursor==e.start),this.$desiredColumn=e.desiredColumn||this.$desiredColumn},this.toOrientedRange=function(e){var t=this.getRange();return e?(e.start.column=t.start.column,e.start.row=t.start.row,e.end.column=t.end.column,e.end.row=t.end.row):e=t,e.cursor=this.isBackwards()?e.start:e.end,e.desiredColumn=this.$desiredColumn,e},this.getRangeOfMovements=function(e){var t=this.getCursor();try{e(this);var n=this.getCursor();return o.fromPoints(t,n)}catch(e){return o.fromPoints(t,t)}finally{this.moveCursorToPosition(t)}},this.toJSON=function(){var e;return this.rangeCount?e=this.ranges.map((function(e){var t=e.clone();return t.isBackwards=e.cursor==e.start,t})):(e=this.getRange()).isBackwards=this.isBackwards(),e},this.fromJSON=function(e){if(null==e.start){if(this.rangeList&&1<e.length){this.toSingleRange(e[0]);for(var t=e.length;t--;){var n=o.fromPoints(e[t].start,e[t].end);e[t].isBackwards&&(n.cursor=n.start),this.addRange(n,!0)}return}e=e[0]}this.rangeList&&this.toSingleRange(e),this.setSelectionRange(e,e.isBackwards)},this.isEqual=function(e){if((e.length||this.rangeCount)&&e.length!=this.rangeCount)return!1;if(!e.length||!this.ranges)return this.getRange().isEqual(e);for(var t=this.ranges.length;t--;)if(!this.ranges[t].isEqual(e[t]))return!1;return!0}}).call((e=function(e){this.session=e,this.doc=e.getDocument(),this.clearSelection(),this.cursor=this.lead=this.doc.createAnchor(0,0),this.anchor=this.doc.createAnchor(0,0),this.$silent=!1;var t=this;this.cursor.on(\"change\",(function(e){t.$cursorChanged=!0,t.$silent||t._emit(\"changeCursor\"),t.$isEmpty||t.$silent||t._emit(\"changeSelection\"),t.$keepDesiredColumnOnChange||e.old.column==e.value.column||(t.$desiredColumn=null)})),this.anchor.on(\"change\",(function(){t.$anchorChanged=!0,t.$isEmpty||t.$silent||t._emit(\"changeSelection\")}))}).prototype),t.Selection=e})),ace.define(\"ace/tokenizer\",[\"require\",\"exports\",\"module\",\"ace/config\"],(function(e,t,n){\"use strict\";var r=e(\"./config\"),i=2e3;(function(){this.$setMaxTokenCount=function(e){i=0|e},this.$applyToken=function(e){var t=this.splitRegex.exec(e).slice(1),n=this.token.apply(this,t);if(\"string\"==typeof n)return[{type:n,value:e}];for(var r=[],i=0,s=n.length;i<s;i++)t[i]&&(r[r.length]={type:n[i],value:t[i]});return r},this.$arrayTokens=function(e){if(!e)return[];var t=this.splitRegex.exec(e);if(!t)return\"text\";for(var n=[],r=this.tokenArray,i=0,s=r.length;i<s;i++)t[i+1]&&(n[n.length]={type:r[i],value:t[i+1]});return n},this.removeCapturingGroups=function(e){return e.replace(/\\\\.|\\[(?:\\\\.|[^\\\\\\]])*|\\(\\?[:=!]|(\\()/g,(function(e,t){return t?\"(?:\":e}))},this.createSplitterRegexp=function(e,t){var n,r,i;return-1!=e.indexOf(\"(?=\")&&(n=0,r=!1,i={},e.replace(/(\\\\.)|(\\((?:\\?[=!])?)|(\\))|([\\[\\]])/g,(function(e,t,s,o,a,c){return r?r=\"]\"!=a:a?r=!0:o?(n==i.stack&&(i.end=c+1,i.stack=-1),n--):s&&(n++,1!=s.length&&(i.stack=n,i.start=c)),e})),null!=i.end&&/^\\)*$/.test(e.substr(i.end))&&(e=e.substring(0,i.start)+e.substr(i.end))),\"^\"!=e.charAt(0)&&(e=\"^\"+e),\"$\"!=e.charAt(e.length-1)&&(e+=\"$\"),new RegExp(e,(t||\"\").replace(\"g\",\"\"))},this.getLineTokens=function(e,t){var n;t&&\"string\"!=typeof t?\"#tmp\"===(t=(n=t.slice(0))[0])&&(n.shift(),t=n.shift()):n=[];var r=t||\"start\",s=this.states[r];s||(s=this.states[r=\"start\"]);for(var o,a=this.matchMappings[r],c=this.regExps[r],l=[],h=c.lastIndex=0,d=0,u={type:null,value:\"\"};o=c.exec(e);){var f,g=a.defaultToken,p=null,m=o[0],C=c.lastIndex;C-m.length>h&&(f=e.substring(h,C-m.length),u.type==g?u.value+=f:(u.type&&l.push(u),u={type:g,value:f}));for(var b=0;b<o.length-2;b++)if(void 0!==o[b+1]){g=(p=s[a[b]]).onMatch?p.onMatch(m,r,n,e):p.token,p.next&&(r=\"string\"==typeof p.next?p.next:p.next(r,n),(s=this.states[r])||(this.reportError(\"state doesn't exist\",r),s=this.states[r=\"start\"]),a=this.matchMappings[r],h=C,(c=this.regExps[r]).lastIndex=C),p.consumeLineEnd&&(h=C);break}if(m)if(\"string\"==typeof g)p&&!1===p.merge||u.type!==g?(u.type&&l.push(u),u={type:g,value:m}):u.value+=m;else if(g)for(u.type&&l.push(u),u={type:null,value:\"\"},b=0;b<g.length;b++)l.push(g[b]);if(h==e.length)break;if(h=C,d++>i){for(d>2*e.length&&this.reportError(\"infinite loop with in ace tokenizer\",{startState:t,line:e});h<e.length;)u.type&&l.push(u),u={value:e.substring(h,h+=500),type:\"overflow\"};r=\"start\",n=[];break}}return u.type&&l.push(u),1<n.length&&n[0]!==r&&n.unshift(\"#tmp\",r),{tokens:l,state:n.length?n:r}},this.reportError=r.reportError}).call((e=function(e){for(var t in this.states=e,this.regExps={},this.matchMappings={},this.states){for(var n=this.states[t],r=[],i=0,s=this.matchMappings[t]={defaultToken:\"text\"},o=\"g\",a=[],c=0;c<n.length;c++){var l,h,d=n[c];d.defaultToken&&(s.defaultToken=d.defaultToken),d.caseInsensitive&&(o=\"gi\"),null!=d.regex&&(d.regex instanceof RegExp&&(d.regex=d.regex.toString().slice(1,-1)),l=d.regex,h=new RegExp(\"(?:(\"+l+\")|(.))\").exec(\"a\").length-2,Array.isArray(d.token)?1==d.token.length||1==h?d.token=d.token[0]:h-1!=d.token.length?(this.reportError(\"number of classes and regexp groups doesn't match\",{rule:d,groupCount:h-1}),d.token=d.token[0]):(d.tokenArray=d.token,d.token=null,d.onMatch=this.$arrayTokens):\"function\"!=typeof d.token||d.onMatch||(d.onMatch=1<h?this.$applyToken:d.token),1<h&&(l=/\\\\\\d/.test(d.regex)?d.regex.replace(/\\\\([0-9]+)/g,(function(e,t){return\"\\\\\"+(parseInt(t,10)+i+1)})):(h=1,this.removeCapturingGroups(d.regex)),d.splitRegex||\"string\"==typeof d.token||a.push(d)),s[i]=c,i+=h,r.push(l),d.onMatch||(d.onMatch=null))}r.length||(s[0]=0,r.push(\"$\")),a.forEach((function(e){e.splitRegex=this.createSplitterRegexp(e.regex,o)}),this),this.regExps[t]=new RegExp(\"(\"+r.join(\")|(\")+\")|($)\",o)}}).prototype),t.Tokenizer=e})),ace.define(\"ace/mode/text_highlight_rules\",[\"require\",\"exports\",\"module\",\"ace/lib/lang\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/lang\");(function(){function e(e,t){return\"start\"==e&&!t.length||t.unshift(this.nextState,e),this.nextState}function t(e,t){return t.shift(),t.shift()||\"start\"}this.addRules=function(e,t){if(t)for(var n in e){for(var r=e[n],i=0;i<r.length;i++){var s=r[i];(s.next||s.onMatch)&&(\"string\"==typeof s.next&&0!==s.next.indexOf(t)&&(s.next=t+s.next),s.nextState&&0!==s.nextState.indexOf(t)&&(s.nextState=t+s.nextState))}this.$rules[t+n]=r}else for(var n in e)this.$rules[n]=e[n]},this.getRules=function(){return this.$rules},this.embedRules=function(e,t,n,i,s){if(e=\"function\"==typeof e?(new e).getRules():e,i)for(var o=0;o<i.length;o++)i[o]=t+i[o];else for(var a in i=[],e)i.push(t+a);if(this.addRules(e,t),n){var c=Array.prototype[s?\"push\":\"unshift\"];for(o=0;o<i.length;o++)c.apply(this.$rules[i[o]],r.deepCopy(n))}this.$embeds||(this.$embeds=[]),this.$embeds.push(t)},this.getEmbeds=function(){return this.$embeds},this.normalizeRules=function(){var n=0,r=this.$rules;Object.keys(r).forEach((function i(s){var o=r[s];o.processed=!0;for(var a=0;a<o.length;a++){var c=o[a],l=null;Array.isArray(c)&&(l=c,c={}),!c.regex&&c.start&&(c.regex=c.start,c.next||(c.next=[]),c.next.push({defaultToken:c.token},{token:c.token+\".end\",regex:c.end||c.start,next:\"pop\"}),c.token=c.token+\".start\",c.push=!0);var h,d=c.next||c.push;if(d&&Array.isArray(d)?((h=c.stateName)||(\"string\"!=typeof(h=c.token)&&(h=h[0]||\"\"),r[h]&&(h+=n++)),r[h]=d,i(c.next=h)):\"pop\"==d&&(c.next=t),c.push&&(c.nextState=c.next||c.push,c.next=e,delete c.push),c.rules)for(var u in c.rules)r[u]?r[u].push&&r[u].push.apply(r[u],c.rules[u]):r[u]=c.rules[u];(d=\"string\"==typeof c?c:c.include)&&(l=Array.isArray(d)?d.map((function(e){return r[e]})):r[d]),l&&(l=[a,1].concat(l),c.noEscape&&(l=l.filter((function(e){return!e.next}))),o.splice.apply(o,l),a--),c.keywordMap&&(c.token=this.createKeywordMapper(c.keywordMap,c.defaultToken||\"text\",c.caseInsensitive),delete c.defaultToken)}}),this)},this.createKeywordMapper=function(e,t,n,r){var i=Object.create(null);return this.$keywordList=[],Object.keys(e).forEach((function(t){for(var s=e[t].split(r||\"|\"),o=s.length;o--;){var a=s[o];this.$keywordList.push(a),n&&(a=a.toLowerCase()),i[a]=t}}),this),e=null,n?function(e){return i[e.toLowerCase()]||t}:function(e){return i[e]||t}},this.getKeywords=function(){return this.$keywords}}).call((e=function(){this.$rules={start:[{token:\"empty_line\",regex:\"^$\"},{defaultToken:\"text\"}]}}).prototype),t.TextHighlightRules=e})),ace.define(\"ace/mode/behaviour\",[\"require\",\"exports\",\"module\"],(function(e,t,n){\"use strict\";function r(){this.$behaviours={}}(function(){this.add=function(e,t,n){switch(void 0){case this.$behaviours:this.$behaviours={};case this.$behaviours[e]:this.$behaviours[e]={}}this.$behaviours[e][t]=n},this.addBehaviours=function(e){for(var t in e)for(var n in e[t])this.add(t,n,e[t][n])},this.remove=function(e){this.$behaviours&&this.$behaviours[e]&&delete this.$behaviours[e]},this.inherit=function(e,t){t=(\"function\"==typeof e?new e:e).getBehaviours(t),this.addBehaviours(t)},this.getBehaviours=function(e){if(e){for(var t={},n=0;n<e.length;n++)this.$behaviours[e[n]]&&(t[e[n]]=this.$behaviours[e[n]]);return t}return this.$behaviours}}).call(r.prototype),t.Behaviour=r})),ace.define(\"ace/token_iterator\",[\"require\",\"exports\",\"module\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"./range\").Range;(function(){this.stepBackward=function(){for(--this.$tokenIndex;this.$tokenIndex<0;){if(--this.$row,this.$row<0)return this.$row=0,null;this.$rowTokens=this.$session.getTokens(this.$row),this.$tokenIndex=this.$rowTokens.length-1}return this.$rowTokens[this.$tokenIndex]},this.stepForward=function(){var e;for(this.$tokenIndex+=1;this.$tokenIndex>=this.$rowTokens.length;){if(this.$row+=1,e=e||this.$session.getLength(),this.$row>=e)return this.$row=e-1,null;this.$rowTokens=this.$session.getTokens(this.$row),this.$tokenIndex=0}return this.$rowTokens[this.$tokenIndex]},this.getCurrentToken=function(){return this.$rowTokens[this.$tokenIndex]},this.getCurrentTokenRow=function(){return this.$row},this.getCurrentTokenColumn=function(){var e=this.$rowTokens,t=this.$tokenIndex,n=e[t].start;if(void 0!==n)return n;for(n=0;0<t;)n+=e[--t].value.length;return n},this.getCurrentTokenPosition=function(){return{row:this.$row,column:this.getCurrentTokenColumn()}},this.getCurrentTokenRange=function(){var e=this.$rowTokens[this.$tokenIndex],t=this.getCurrentTokenColumn();return new r(this.$row,t,this.$row,t+e.value.length)}}).call((e=function(e,t,n){this.$session=e,this.$row=t,this.$rowTokens=e.getTokens(t),n=e.getTokenAt(t,n),this.$tokenIndex=n?n.index:-1}).prototype),t.TokenIterator=e})),ace.define(\"ace/mode/behaviour/cstyle\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/mode/behaviour\",\"ace/token_iterator\",\"ace/lib/lang\"],(function(e,t,n){\"use strict\";function r(e){var t=-1;if(e.multiSelect&&(t=e.selection.index,u.rangeCount!=e.multiSelect.rangeCount&&(u={rangeCount:e.multiSelect.rangeCount})),u[t])return s=u[t];s=u[t]={autoInsertedBrackets:0,autoInsertedRow:-1,autoInsertedLineEnd:\"\",maybeInsertedBrackets:0,maybeInsertedRow:-1,maybeInsertedLineStart:\"\",maybeInsertedLineEnd:\"\"}}function i(e,t,n,r){var i=e.end.row-e.start.row;return{text:n+t+r,selection:[0,e.start.column+1,i,e.end.column+(i?0:1)]}}var s,o=e(\"../../lib/oop\"),a=e(\"../behaviour\").Behaviour,c=e(\"../../token_iterator\").TokenIterator,l=e(\"../../lib/lang\"),h=[\"text\",\"paren.rparen\",\"rparen\",\"paren\",\"punctuation.operator\"],d=[\"text\",\"paren.rparen\",\"rparen\",\"paren\",\"punctuation.operator\",\"comment\"],u={},f={'\"':'\"',\"'\":\"'\"},g=function(e){this.add(\"braces\",\"insertion\",(function(t,n,o,a,c){var h=o.getCursorPosition(),d=a.doc.getLine(h.row);if(\"{\"==c){r(o);var u=o.getSelectionRange(),f=a.doc.getTextRange(u);return\"\"!==f&&\"{\"!==f&&o.getWrapBehavioursEnabled()?i(u,f,\"{\",\"}\"):g.isSaneInsertion(o,a)?/[\\]\\}\\)]/.test(d[h.column])||o.inMultiSelectMode||e&&e.braces?(g.recordAutoInsert(o,a,\"}\"),{text:\"{}\",selection:[1,1]}):(g.recordMaybeInsert(o,a,\"{\"),{text:\"{\",selection:[1,1]}):void 0}if(\"}\"==c){r(o);var p=d.substring(h.column,h.column+1);if(\"}\"==p&&null!==a.$findOpeningBracket(\"}\",{column:h.column+1,row:h.row})&&g.isAutoInsertedClosing(h,d,c))return g.popAutoInsertedClosing(),{text:\"\",selection:[1,1]}}else{if(\"\\n\"==c||\"\\r\\n\"==c){if(r(o),o=\"\",g.isMaybeInsertedClosing(h,d)&&(o=l.stringRepeat(\"}\",s.maybeInsertedBrackets),g.clearMaybeInsertedClosing()),\"}\"===(p=d.substring(h.column,h.column+1))){var m=a.findMatchingBracket({row:h.row,column:h.column+1},\"}\");if(!m)return null;m=this.$getIndent(a.getLine(m.row))}else{if(!o)return void g.clearMaybeInsertedClosing();m=this.$getIndent(d)}return{text:\"\\n\"+(a=m+a.getTabString())+\"\\n\"+m+o,selection:[1,a.length,1,a.length]}}g.clearMaybeInsertedClosing()}})),this.add(\"braces\",\"deletion\",(function(e,t,n,i,o){var a=i.doc.getTextRange(o);if(!o.isMultiLine()&&\"{\"==a){if(r(n),\"}\"==i.doc.getLine(o.start.row).substring(o.end.column,o.end.column+1))return o.end.column++,o;s.maybeInsertedBrackets--}})),this.add(\"parens\",\"insertion\",(function(e,t,n,s,o){if(\"(\"==o){r(n);var a=n.getSelectionRange(),c=s.doc.getTextRange(a);return\"\"!==c&&n.getWrapBehavioursEnabled()?i(a,c,\"(\",\")\"):g.isSaneInsertion(n,s)?(g.recordAutoInsert(n,s,\")\"),{text:\"()\",selection:[1,1]}):void 0}if(\")\"==o&&(r(n),a=n.getCursorPosition(),\")\"==(n=(c=s.doc.getLine(a.row)).substring(a.column,a.column+1))&&null!==s.$findOpeningBracket(\")\",{column:a.column+1,row:a.row})&&g.isAutoInsertedClosing(a,c,o)))return g.popAutoInsertedClosing(),{text:\"\",selection:[1,1]}})),this.add(\"parens\",\"deletion\",(function(e,t,n,i,s){var o=i.doc.getTextRange(s);if(!s.isMultiLine()&&\"(\"==o&&(r(n),\")\"==i.doc.getLine(s.start.row).substring(s.start.column+1,s.start.column+2)))return s.end.column++,s})),this.add(\"brackets\",\"insertion\",(function(e,t,n,s,o){if(\"[\"==o){r(n);var a=n.getSelectionRange(),c=s.doc.getTextRange(a);return\"\"!==c&&n.getWrapBehavioursEnabled()?i(a,c,\"[\",\"]\"):g.isSaneInsertion(n,s)?(g.recordAutoInsert(n,s,\"]\"),{text:\"[]\",selection:[1,1]}):void 0}if(\"]\"==o&&(r(n),a=n.getCursorPosition(),\"]\"==(n=(c=s.doc.getLine(a.row)).substring(a.column,a.column+1))&&null!==s.$findOpeningBracket(\"]\",{column:a.column+1,row:a.row})&&g.isAutoInsertedClosing(a,c,o)))return g.popAutoInsertedClosing(),{text:\"\",selection:[1,1]}})),this.add(\"brackets\",\"deletion\",(function(e,t,n,i,s){var o=i.doc.getTextRange(s);if(!s.isMultiLine()&&\"[\"==o&&(r(n),\"]\"==i.doc.getLine(s.start.row).substring(s.start.column+1,s.start.column+2)))return s.end.column++,s})),this.add(\"string_dquotes\",\"insertion\",(function(e,t,n,s,o){var a=s.$mode.$quotes||f;if(1==o.length&&a[o]&&(!this.lineCommentStart||-1==this.lineCommentStart.indexOf(o))){r(n);var c=o,l=n.getSelectionRange();if(!(\"\"===(g=s.doc.getTextRange(l))||1==g.length&&a[g])&&n.getWrapBehavioursEnabled())return i(l,g,c,c);if(!g){var h,d=n.getCursorPosition(),u=s.doc.getLine(d.row),g=(o=u.substring(d.column-1,d.column),a=u.substring(d.column,d.column+1),l=s.getTokenAt(d.row,d.column),s.getTokenAt(d.row,d.column+1));if(\"\\\\\"==o&&l&&/escape/.test(l.type))return null;if(n=l&&/string|escape/.test(l.type),l=!g||/string|escape/.test(g.type),a==c)(h=n!==l)&&/string\\.end/.test(g.type)&&(h=!1);else{if(n&&!l)return null;if(n&&l)return null;if((n=s.$mode.tokenRe).lastIndex=0,l=n.test(o),n.lastIndex=0,s=n.test(o),l||s)return null;if(a&&!/[\\s;,.})\\]\\\\]/.test(a))return null;if(d=u[d.column-2],o==c&&(d==c||n.test(d)))return null;h=!0}return{text:h?c+c:\"\",selection:[1,1]}}}})),this.add(\"string_dquotes\",\"deletion\",(function(e,t,n,i,s){var o=i.$mode.$quotes||f,a=i.doc.getTextRange(s);if(!s.isMultiLine()&&o.hasOwnProperty(a)&&(r(n),i.doc.getLine(s.start.row).substring(s.start.column+1,s.start.column+2)==a))return s.end.column++,s}))};g.isSaneInsertion=function(e,t){var n=e.getCursorPosition(),r=new c(t,n.row,n.column);if(!this.$matchTokenType(r.getCurrentToken()||\"text\",h)){if(/[)}\\]]/.test(e.session.getLine(n.row)[n.column]))return!0;if(t=new c(t,n.row,n.column+1),!this.$matchTokenType(t.getCurrentToken()||\"text\",h))return!1}return r.stepForward(),r.getCurrentTokenRow()!==n.row||this.$matchTokenType(r.getCurrentToken()||\"text\",d)},g.$matchTokenType=function(e,t){return-1<t.indexOf(e.type||e)},g.recordAutoInsert=function(e,t,n){e=e.getCursorPosition(),t=t.doc.getLine(e.row),this.isAutoInsertedClosing(e,t,s.autoInsertedLineEnd[0])||(s.autoInsertedBrackets=0),s.autoInsertedRow=e.row,s.autoInsertedLineEnd=n+t.substr(e.column),s.autoInsertedBrackets++},g.recordMaybeInsert=function(e,t,n){e=e.getCursorPosition(),t=t.doc.getLine(e.row),this.isMaybeInsertedClosing(e,t)||(s.maybeInsertedBrackets=0),s.maybeInsertedRow=e.row,s.maybeInsertedLineStart=t.substr(0,e.column)+n,s.maybeInsertedLineEnd=t.substr(e.column),s.maybeInsertedBrackets++},g.isAutoInsertedClosing=function(e,t,n){return 0<s.autoInsertedBrackets&&e.row===s.autoInsertedRow&&n===s.autoInsertedLineEnd[0]&&t.substr(e.column)===s.autoInsertedLineEnd},g.isMaybeInsertedClosing=function(e,t){return 0<s.maybeInsertedBrackets&&e.row===s.maybeInsertedRow&&t.substr(e.column)===s.maybeInsertedLineEnd&&t.substr(0,e.column)==s.maybeInsertedLineStart},g.popAutoInsertedClosing=function(){s.autoInsertedLineEnd=s.autoInsertedLineEnd.substr(1),s.autoInsertedBrackets--},g.clearMaybeInsertedClosing=function(){s&&(s.maybeInsertedBrackets=0,s.maybeInsertedRow=-1)},o.inherits(g,a),t.CstyleBehaviour=g})),ace.define(\"ace/unicode\",[\"require\",\"exports\",\"module\"],(function(e,t,n){\"use strict\";for(var r=[48,9,8,25,5,0,2,25,48,0,11,0,5,0,6,22,2,30,2,457,5,11,15,4,8,0,2,0,18,116,2,1,3,3,9,0,2,2,2,0,2,19,2,82,2,138,2,4,3,155,12,37,3,0,8,38,10,44,2,0,2,1,2,1,2,0,9,26,6,2,30,10,7,61,2,9,5,101,2,7,3,9,2,18,3,0,17,58,3,100,15,53,5,0,6,45,211,57,3,18,2,5,3,11,3,9,2,1,7,6,2,2,2,7,3,1,3,21,2,6,2,0,4,3,3,8,3,1,3,3,9,0,5,1,2,4,3,11,16,2,2,5,5,1,3,21,2,6,2,1,2,1,2,1,3,0,2,4,5,1,3,2,4,0,8,3,2,0,8,15,12,2,2,8,2,2,2,21,2,6,2,1,2,4,3,9,2,2,2,2,3,0,16,3,3,9,18,2,2,7,3,1,3,21,2,6,2,1,2,4,3,8,3,1,3,2,9,1,5,1,2,4,3,9,2,0,17,1,2,5,4,2,2,3,4,1,2,0,2,1,4,1,4,2,4,11,5,4,4,2,2,3,3,0,7,0,15,9,18,2,2,7,2,2,2,22,2,9,2,4,4,7,2,2,2,3,8,1,2,1,7,3,3,9,19,1,2,7,2,2,2,22,2,9,2,4,3,8,2,2,2,3,8,1,8,0,2,3,3,9,19,1,2,7,2,2,2,22,2,15,4,7,2,2,2,3,10,0,9,3,3,9,11,5,3,1,2,17,4,23,2,8,2,0,3,6,4,0,5,5,2,0,2,7,19,1,14,57,6,14,2,9,40,1,2,0,3,1,2,0,3,0,7,3,2,6,2,2,2,0,2,0,3,1,2,12,2,2,3,4,2,0,2,5,3,9,3,1,35,0,24,1,7,9,12,0,2,0,2,0,5,9,2,35,5,19,2,5,5,7,2,35,10,0,58,73,7,77,3,37,11,42,2,0,4,328,2,3,3,6,2,0,2,3,3,40,2,3,3,32,2,3,3,6,2,0,2,3,3,14,2,56,2,3,3,66,5,0,33,15,17,84,13,619,3,16,2,25,6,74,22,12,2,6,12,20,12,19,13,12,2,2,2,1,13,51,3,29,4,0,5,1,3,9,34,2,3,9,7,87,9,42,6,69,11,28,4,11,5,11,11,39,3,4,12,43,5,25,7,10,38,27,5,62,2,28,3,10,7,9,14,0,89,75,5,9,18,8,13,42,4,11,71,55,9,9,4,48,83,2,2,30,14,230,23,280,3,5,3,37,3,5,3,7,2,0,2,0,2,0,2,30,3,52,2,6,2,0,4,2,2,6,4,3,3,5,5,12,6,2,2,6,67,1,20,0,29,0,14,0,17,4,60,12,5,0,4,11,18,0,5,0,3,9,2,0,4,4,7,0,2,0,2,0,2,3,2,10,3,3,6,4,5,0,53,1,2684,46,2,46,2,132,7,6,15,37,11,53,10,0,17,22,10,6,2,6,2,6,2,6,2,6,2,6,2,6,2,6,2,31,48,0,470,1,36,5,2,4,6,1,5,85,3,1,3,2,2,89,2,3,6,40,4,93,18,23,57,15,513,6581,75,20939,53,1164,68,45,3,268,4,27,21,31,3,13,13,1,2,24,9,69,11,1,38,8,3,102,3,1,111,44,25,51,13,68,12,9,7,23,4,0,5,45,3,35,13,28,4,64,15,10,39,54,10,13,3,9,7,22,4,1,5,66,25,2,227,42,2,1,3,9,7,11171,13,22,5,48,8453,301,3,61,3,105,39,6,13,4,6,11,2,12,2,4,2,0,2,1,2,1,2,107,34,362,19,63,3,53,41,11,5,15,17,6,13,1,25,2,33,4,2,134,20,9,8,25,5,0,2,25,12,88,4,5,3,5,3,5,3,2],i=0,s=[],o=0;o<r.length;o+=2)s.push(i+=r[o]),r[o+1]&&s.push(45,i+=r[o+1]);t.wordChars=String.fromCharCode.apply(null,s)})),ace.define(\"ace/mode/text\",[\"require\",\"exports\",\"module\",\"ace/config\",\"ace/tokenizer\",\"ace/mode/text_highlight_rules\",\"ace/mode/behaviour/cstyle\",\"ace/unicode\",\"ace/lib/lang\",\"ace/token_iterator\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"../config\"),i=e(\"../tokenizer\").Tokenizer,s=e(\"./text_highlight_rules\").TextHighlightRules,o=e(\"./behaviour/cstyle\").CstyleBehaviour,a=e(\"../unicode\"),c=e(\"../lib/lang\"),l=e(\"../token_iterator\").TokenIterator,h=e(\"../range\").Range;(function(){this.$defaultBehaviour=new o,this.tokenRe=new RegExp(\"^[\"+a.wordChars+\"\\\\$_]+\",\"g\"),this.nonTokenRe=new RegExp(\"^(?:[^\"+a.wordChars+\"\\\\$_]|\\\\s])+\",\"g\"),this.getTokenizer=function(){return this.$tokenizer||(this.$highlightRules=this.$highlightRules||new this.HighlightRules(this.$highlightRuleConfig),this.$tokenizer=new i(this.$highlightRules.getRules())),this.$tokenizer},this.lineCommentStart=\"\",this.blockComment=\"\",this.toggleCommentLines=function(e,t,n,r){var i=t.doc,s=!0,o=!0,a=1/0,l=t.getTabSize(),h=!1;if(this.lineCommentStart){m=Array.isArray(this.lineCommentStart)?(b=this.lineCommentStart.map(c.escapeRegExp).join(\"|\"),this.lineCommentStart[0]):(b=c.escapeRegExp(this.lineCommentStart),this.lineCommentStart),b=new RegExp(\"^(\\\\s*)(?:\"+b+\") ?\"),h=t.getUseSoftTabs();var d=function(e,t){var n,r,s=e.match(b);s&&(p(e,n=s[1].length,r=s[0].length)||\" \"!=s[0][r-1]||r--,i.removeInLine(t,n,r))},u=m+\" \",f=function(e,t){s&&!/\\S/.test(e)||(p(e,a,a)?i.insertInLine({row:t,column:a},u):i.insertInLine({row:t,column:a},m))},g=function(e,t){return b.test(e)},p=function(e,t,n){for(var r=0;t--&&\" \"==e.charAt(t);)r++;if(r%l!=0)return!1;for(r=0;\" \"==e.charAt(n++);)r++;return 2<l?r%l!=l-1:r%l==0}}else{if(!this.blockComment)return!1;var m=this.blockComment.start,C=this.blockComment.end,b=new RegExp(\"^(\\\\s*)(?:\"+c.escapeRegExp(m)+\")\"),v=new RegExp(\"(?:\"+c.escapeRegExp(C)+\")\\\\s*$\");f=function(e,t){g(e,t)||s&&!/\\S/.test(e)||(i.insertInLine({row:t,column:e.length},C),i.insertInLine({row:t,column:a},m))},d=function(e,t){var n;(n=e.match(v))&&i.removeInLine(t,e.length-n[0].length,e.length),(n=e.match(b))&&i.removeInLine(t,n[1].length,n[0].length)},g=function(e,n){if(b.test(e))return!0;for(var r=t.getTokens(n),i=0;i<r.length;i++)if(\"comment\"===r[i].type)return!0}}function I(e){for(var t=n;t<=r;t++)e(i.getLine(t),t)}var A=1/0;I((function(e,t){var n=e.search(/\\S/);-1!==n?(n<a&&(a=n),o&&!g(e,t)&&(o=!1)):A>e.length&&(A=e.length)})),a==1/0&&(a=A,o=s=!1),h&&a%l!=0&&(a=Math.floor(a/l)*l),I(o?d:f)},this.toggleBlockComment=function(e,t,n,r){var i=this.blockComment;if(i){!i.start&&i[0]&&(i=i[0]);var s,o,a=(g=new l(t,r.row,r.column)).getCurrentToken(),c=t.selection.toOrientedRange();if(a&&/comment/.test(a.type)){for(;a&&/comment/.test(a.type);){if(-1!=(p=a.value.indexOf(i.start))){var d=g.getCurrentTokenRow(),u=g.getCurrentTokenColumn()+p,f=new h(d,u,d,u+i.start.length);break}a=g.stepBackward()}var g,p;for(a=(g=new l(t,r.row,r.column)).getCurrentToken();a&&/comment/.test(a.type);){if(-1!=(p=a.value.indexOf(i.end))){d=g.getCurrentTokenRow(),u=g.getCurrentTokenColumn()+p;var m=new h(d,u,d,u+i.end.length);break}a=g.stepForward()}m&&t.remove(m),f&&(t.remove(f),s=f.start.row,o=-i.start.length)}else o=i.start.length,s=n.start.row,t.insert(n.end,i.end),t.insert(n.start,i.start);c.start.row==s&&(c.start.column+=o),c.end.row==s&&(c.end.column+=o),t.selection.fromOrientedRange(c)}},this.getNextLineIndent=function(e,t,n){return this.$getIndent(t)},this.checkOutdent=function(e,t,n){return!1},this.autoOutdent=function(e,t,n){},this.$getIndent=function(e){return e.match(/^\\s*/)[0]},this.createWorker=function(e){return null},this.createModeDelegates=function(e){for(var t in this.$embeds=[],this.$modes={},e){var n,i,s;e[t]&&(i=(n=e[t]).prototype.$id,(s=r.$modes[i])||(r.$modes[i]=s=new n),r.$modes[t]||(r.$modes[t]=s),this.$embeds.push(t),this.$modes[t]=s)}var o=[\"toggleBlockComment\",\"toggleCommentLines\",\"getNextLineIndent\",\"checkOutdent\",\"autoOutdent\",\"transformAction\",\"getCompletions\"];for(t=0;t<o.length;t++)!function(e){var n=o[t],r=e[n];e[o[t]]=function(){return this.$delegator(n,arguments,r)}}(this)},this.$delegator=function(e,t,n){var r=t[0]||\"start\";if(\"string\"!=typeof r){if(Array.isArray(r[2])){var i=r[2][r[2].length-1];if(o=this.$modes[i])return o[e].apply(o,[r[1]].concat([].slice.call(t,1)))}r=r[0]||\"start\"}for(var s=0;s<this.$embeds.length;s++)if(this.$modes[this.$embeds[s]]){var o,a=r.split(this.$embeds[s]);if(!a[0]&&a[1])return t[0]=a[1],(o=this.$modes[this.$embeds[s]])[e].apply(o,t)}return i=n.apply(this,t),n?i:void 0},this.transformAction=function(e,t,n,r,i){if(this.$behaviour){var s,o=this.$behaviour.getBehaviours();for(s in o)if(o[s][t]){var a=o[s][t].apply(this,arguments);if(a)return a}}},this.getKeywords=function(e){if(!this.completionKeywords){var t=this.$tokenizer.rules,n=[];for(o in t)for(var r=t[o],i=0,s=r.length;i<s;i++)if(\"string\"==typeof r[i].token)/keyword|support|storage/.test(r[i].token)&&n.push(r[i].regex);else if(\"object\"==typeof r[i].token)for(var o,a=0,c=r[i].token.length;a<c;a++)/keyword|support|storage/.test(r[i].token[a])&&(o=r[i].regex.match(/\\(.+?\\)/g)[a],n.push(o.substr(1,o.length-2)));this.completionKeywords=n}return e?n.concat(this.$keywordList||[]):this.$keywordList},this.$createKeywordList=function(){return this.$highlightRules||this.getTokenizer(),this.$keywordList=this.$highlightRules.$keywordList||[]},this.getCompletions=function(e,t,n,r){return(this.$keywordList||this.$createKeywordList()).map((function(e){return{name:e,value:e,score:0,meta:\"keyword\"}}))},this.$id=\"ace/mode/text\"}).call((e=function(){this.HighlightRules=s}).prototype),t.Mode=e})),ace.define(\"ace/apply_delta\",[\"require\",\"exports\",\"module\"],(function(e,t,n){\"use strict\";t.applyDelta=function(e,t,n){var r=t.start.row,i=t.start.column,s=e[r]||\"\";switch(t.action){case\"insert\":1===t.lines.length?e[r]=s.substring(0,i)+t.lines[0]+s.substring(i):(a=[r,1].concat(t.lines),e.splice.apply(e,a),e[r]=s.substring(0,i)+e[r],e[r+t.lines.length-1]+=s.substring(i));break;case\"remove\":var o=t.end.column,a=t.end.row;r===a?e[r]=s.substring(0,i)+s.substring(o):e.splice(r,a-r+1,s.substring(0,i)+e[a].substring(o))}}})),ace.define(\"ace/anchor\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/event_emitter\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/oop\"),i=e(\"./lib/event_emitter\").EventEmitter;t=t.Anchor=function(e,t,n){this.$onChange=this.onChange.bind(this),this.attach(e),void 0===n?this.setPosition(t.row,t.column):this.setPosition(t,n)},(function(){function e(e,t,n){return n=n?e.column<=t.column:e.column<t.column,e.row<t.row||e.row==t.row&&n}r.implement(this,i),this.getPosition=function(){return this.$clipPositionToDocument(this.row,this.column)},this.getDocument=function(){return this.document},this.$insertRight=!1,this.onChange=function(t){t.start.row==t.end.row&&t.start.row!=this.row||t.start.row>this.row||(t=function(t,n,r){var i=\"insert\"==t.action,s=(i?1:-1)*(t.end.row-t.start.row),o=(i?1:-1)*(t.end.column-t.start.column),a=t.start;return t=i?a:t.end,e(n,a,r)?{row:n.row,column:n.column}:e(t,n,!r)?{row:n.row+s,column:n.column+(n.row==t.row?o:0)}:{row:a.row,column:a.column}}(t,{row:this.row,column:this.column},this.$insertRight),this.setPosition(t.row,t.column,!0))},this.setPosition=function(e,t,n){e=n?{row:e,column:t}:this.$clipPositionToDocument(e,t),this.row==e.row&&this.column==e.column||(t={row:this.row,column:this.column},this.row=e.row,this.column=e.column,this._signal(\"change\",{old:t,value:e}))},this.detach=function(){this.document.off(\"change\",this.$onChange)},this.attach=function(e){this.document=e||this.document,this.document.on(\"change\",this.$onChange)},this.$clipPositionToDocument=function(e,t){var n={};return e>=this.document.getLength()?(n.row=Math.max(0,this.document.getLength()-1),n.column=this.document.getLine(n.row).length):e<0?(n.row=0,n.column=0):(n.row=e,n.column=Math.min(this.document.getLine(n.row).length,Math.max(0,t))),t<0&&(n.column=0),n}}).call(t.prototype)})),ace.define(\"ace/document\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/apply_delta\",\"ace/lib/event_emitter\",\"ace/range\",\"ace/anchor\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/oop\"),i=e(\"./apply_delta\").applyDelta,s=e(\"./lib/event_emitter\").EventEmitter,o=e(\"./range\").Range,a=e(\"./anchor\").Anchor;(function(){r.implement(this,s),this.setValue=function(e){var t=this.getLength()-1;this.remove(new o(0,0,t,this.getLine(t).length)),this.insert({row:0,column:0},e)},this.getValue=function(){return this.getAllLines().join(this.getNewLineCharacter())},this.createAnchor=function(e,t){return new a(this,e,t)},this.$split=0===\"aaa\".split(/a/).length?function(e){return e.replace(/\\r\\n|\\r/g,\"\\n\").split(\"\\n\")}:function(e){return e.split(/\\r\\n|\\r|\\n/)},this.$detectNewLine=function(e){e=e.match(/^.*?(\\r\\n|\\r|\\n)/m),this.$autoNewLine=e?e[1]:\"\\n\",this._signal(\"changeNewLineMode\")},this.getNewLineCharacter=function(){switch(this.$newLineMode){case\"windows\":return\"\\r\\n\";case\"unix\":return\"\\n\";default:return this.$autoNewLine||\"\\n\"}},this.$autoNewLine=\"\",this.$newLineMode=\"auto\",this.setNewLineMode=function(e){this.$newLineMode!==e&&(this.$newLineMode=e,this._signal(\"changeNewLineMode\"))},this.getNewLineMode=function(){return this.$newLineMode},this.isNewLine=function(e){return\"\\r\\n\"==e||\"\\r\"==e||\"\\n\"==e},this.getLine=function(e){return this.$lines[e]||\"\"},this.getLines=function(e,t){return this.$lines.slice(e,t+1)},this.getAllLines=function(){return this.getLines(0,this.getLength())},this.getLength=function(){return this.$lines.length},this.getTextRange=function(e){return this.getLinesForRange(e).join(this.getNewLineCharacter())},this.getLinesForRange=function(e){var t,n;return e.start.row===e.end.row?t=[this.getLine(e.start.row).substring(e.start.column,e.end.column)]:((t=this.getLines(e.start.row,e.end.row))[0]=(t[0]||\"\").substring(e.start.column),e.end.row-e.start.row==(n=t.length-1)&&(t[n]=t[n].substring(0,e.end.column))),t},this.insertLines=function(e,t){return console.warn(\"Use of document.insertLines is deprecated. Use the insertFullLines method instead.\"),this.insertFullLines(e,t)},this.removeLines=function(e,t){return console.warn(\"Use of document.removeLines is deprecated. Use the removeFullLines method instead.\"),this.removeFullLines(e,t)},this.insertNewLine=function(e){return console.warn(\"Use of document.insertNewLine is deprecated. Use insertMergedLines(position, ['', '']) instead.\"),this.insertMergedLines(e,[\"\",\"\"])},this.insert=function(e,t){return this.getLength()<=1&&this.$detectNewLine(t),this.insertMergedLines(e,this.$split(t))},this.insertInLine=function(e,t){var n=this.clippedPos(e.row,e.column);return e=this.pos(e.row,e.column+t.length),this.applyDelta({start:n,end:e,action:\"insert\",lines:[t]},!0),this.clonePos(e)},this.clippedPos=function(e,t){var n=this.getLength();return void 0===e?e=n:e<0?e=0:n<=e&&(e=n-1,t=void 0),n=this.getLine(e),null==t&&(t=n.length),{row:e,column:t=Math.min(Math.max(t,0),n.length)}},this.clonePos=function(e){return{row:e.row,column:e.column}},this.pos=function(e,t){return{row:e,column:t}},this.$clipPosition=function(e){var t=this.getLength();return e.row>=t?(e.row=Math.max(0,t-1),e.column=this.getLine(t-1).length):(e.row=Math.max(0,e.row),e.column=Math.min(Math.max(e.column,0),this.getLine(e.row).length)),e},this.insertFullLines=function(e,t){var n;n=(e=Math.min(Math.max(e,0),this.getLength()))<this.getLength()?(t=t.concat([\"\"]),0):(t=[\"\"].concat(t),e--,this.$lines[e].length),this.insertMergedLines({row:e,column:n},t)},this.insertMergedLines=function(e,t){var n=this.clippedPos(e.row,e.column);return this.applyDelta({start:n,end:e={row:n.row+t.length-1,column:(1==t.length?n.column:0)+t[t.length-1].length},action:\"insert\",lines:t}),this.clonePos(e)},this.remove=function(e){var t=this.clippedPos(e.start.row,e.start.column);return e=this.clippedPos(e.end.row,e.end.column),this.applyDelta({start:t,end:e,action:\"remove\",lines:this.getLinesForRange({start:t,end:e})}),this.clonePos(t)},this.removeInLine=function(e,t,n){return t=this.clippedPos(e,t),n=this.clippedPos(e,n),this.applyDelta({start:t,end:n,action:\"remove\",lines:this.getLinesForRange({start:t,end:n})},!0),this.clonePos(t)},this.removeFullLines=function(e,t){e=Math.min(Math.max(0,e),this.getLength()-1);var n=(t=Math.min(Math.max(0,t),this.getLength()-1))==this.getLength()-1&&0<e,r=t<this.getLength()-1,i=n?e-1:e,s=n?this.getLine(i).length:0;return n=r?t+1:t,r=r?0:this.getLine(n).length,r=new o(i,s,n,r),t=this.$lines.slice(e,t+1),this.applyDelta({start:r.start,end:r.end,action:\"remove\",lines:this.getLinesForRange(r)}),t},this.removeNewLine=function(e){e<this.getLength()-1&&0<=e&&this.applyDelta({start:this.pos(e,this.getLine(e).length),end:this.pos(e+1,0),action:\"remove\",lines:[\"\",\"\"]})},this.replace=function(e,t){return e instanceof o||(e=o.fromPoints(e.start,e.end)),0===t.length&&e.isEmpty()?e.start:t==this.getTextRange(e)?e.end:(this.remove(e),t?this.insert(e.start,t):e.start)},this.applyDeltas=function(e){for(var t=0;t<e.length;t++)this.applyDelta(e[t])},this.revertDeltas=function(e){for(var t=e.length-1;0<=t;t--)this.revertDelta(e[t])},this.applyDelta=function(e,t){var n=\"insert\"==e.action;(n?e.lines.length<=1&&!e.lines[0]:!o.comparePoints(e.start,e.end))||(n&&2e4<e.lines.length?this.$splitAndapplyLargeDelta(e,2e4):(i(this.$lines,e,t),this._signal(\"change\",e)))},this.$safeApplyDelta=function(e){var t=this.$lines.length;(\"remove\"==e.action&&e.start.row<t&&e.end.row<t||\"insert\"==e.action&&e.start.row<=t)&&this.applyDelta(e)},this.$splitAndapplyLargeDelta=function(e,t){for(var n=e.lines,r=n.length-t+1,i=e.start.row,s=e.start.column,o=0,a=0;o<r;o=a){var c=n.slice(o,a+=t-1);c.push(\"\"),this.applyDelta({start:this.pos(i+o,s),end:this.pos(i+a,s=0),action:e.action,lines:c},!0)}e.lines=n.slice(o),e.start.row=i+o,e.start.column=s,this.applyDelta(e,!0)},this.revertDelta=function(e){this.$safeApplyDelta({start:this.clonePos(e.start),end:this.clonePos(e.end),action:\"insert\"==e.action?\"remove\":\"insert\",lines:e.lines.slice()})},this.indexToPosition=function(e,t){for(var n=this.$lines||this.getAllLines(),r=this.getNewLineCharacter().length,i=t||0,s=n.length;i<s;i++)if((e-=n[i].length+r)<0)return{row:i,column:e+n[i].length+r};return{row:s-1,column:e+n[s-1].length+r}},this.positionToIndex=function(e,t){for(var n=this.$lines||this.getAllLines(),r=this.getNewLineCharacter().length,i=0,s=Math.min(e.row,n.length),o=t||0;o<s;++o)i+=n[o].length+r;return i+e.column}}).call((e=function(e){this.$lines=[\"\"],0===e.length?this.$lines=[\"\"]:Array.isArray(e)?this.insertMergedLines({row:0,column:0},e):this.insert({row:0,column:0},e)}).prototype),t.Document=e})),ace.define(\"ace/background_tokenizer\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/event_emitter\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/oop\"),i=e(\"./lib/event_emitter\").EventEmitter;(function(){r.implement(this,i),this.setTokenizer=function(e){this.tokenizer=e,this.lines=[],this.states=[],this.start(0)},this.setDocument=function(e){this.doc=e,this.lines=[],this.states=[],this.stop()},this.fireUpdateEvent=function(e,t){this._signal(\"update\",{data:t={first:e,last:t}})},this.start=function(e){this.currentLine=Math.min(e||0,this.currentLine,this.doc.getLength()),this.lines.splice(this.currentLine,this.lines.length),this.states.splice(this.currentLine,this.states.length),this.stop(),this.running=setTimeout(this.$worker,700)},this.scheduleStart=function(){this.running||(this.running=setTimeout(this.$worker,700))},this.$updateOnChange=function(e){var t=e.start.row,n=e.end.row-t;0==n?this.lines[t]=null:\"remove\"==e.action?(this.lines.splice(t,1+n,null),this.states.splice(t,1+n,null)):((n=Array(1+n)).unshift(t,1),this.lines.splice.apply(this.lines,n),this.states.splice.apply(this.states,n)),this.currentLine=Math.min(t,this.currentLine,this.doc.getLength()),this.stop()},this.stop=function(){this.running&&clearTimeout(this.running),this.running=!1},this.getTokens=function(e){return this.lines[e]||this.$tokenizeRow(e)},this.getState=function(e){return this.currentLine==e&&this.$tokenizeRow(e),this.states[e]||\"start\"},this.$tokenizeRow=function(e){var t=this.doc.getLine(e),n=this.tokenizer.getLineTokens(t,n=this.states[e-1],e);return this.states[e]+\"\"!=n.state+\"\"?(this.states[e]=n.state,this.lines[e+1]=null,this.currentLine>e+1&&(this.currentLine=e+1)):this.currentLine==e&&(this.currentLine=e+1),this.lines[e]=n.tokens}}).call((e=function(e,t){this.running=!1,this.lines=[],this.states=[],this.currentLine=0,this.tokenizer=e;var n=this;this.$worker=function(){if(n.running){for(var e=new Date,t=n.currentLine,r=-1,i=n.doc,s=t;n.lines[t];)t++;var o=i.getLength(),a=0;for(n.running=!1;t<o;){for(n.$tokenizeRow(t),r=t;t++,n.lines[t];);if(++a%5==0&&20<new Date-e){n.running=setTimeout(n.$worker,20);break}}n.currentLine=t,-1==r&&(r=t),s<=r&&n.fireUpdateEvent(s,r)}}}).prototype),t.BackgroundTokenizer=e})),ace.define(\"ace/search_highlight\",[\"require\",\"exports\",\"module\",\"ace/lib/lang\",\"ace/lib/oop\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/lang\"),i=(e(\"./lib/oop\"),e(\"./range\").Range);(function(){this.MAX_RANGES=500,this.setRegexp=function(e){this.regExp+\"\"!=e+\"\"&&(this.regExp=e,this.cache=[])},this.update=function(e,t,n,s){if(this.regExp)for(var o=s.lastRow,a=s.firstRow;a<=o;a++){var c=this.cache[a];null==c&&((c=r.getMatchOffsets(n.getLine(a),this.regExp)).length>this.MAX_RANGES&&(c=c.slice(0,this.MAX_RANGES)),c=c.map((function(e){return new i(a,e.offset,a,e.offset+e.length)})),this.cache[a]=c.length?c:\"\");for(var l=c.length;l--;)t.drawSingleLineMarker(e,c[l].toScreenRange(n),this.clazz,s)}}}).call((e=function(e,t,n){this.setRegexp(e),this.clazz=t,this.type=n||\"text\"}).prototype),t.SearchHighlight=e})),ace.define(\"ace/edit_session/fold_line\",[\"require\",\"exports\",\"module\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"../range\").Range;function i(e,t){this.foldData=e,Array.isArray(t)?this.folds=t:t=this.folds=[t],this.range=new r(t[0].start.row,t[0].start.column,(e=t[t.length-1]).end.row,e.end.column),this.start=this.range.start,this.end=this.range.end,this.folds.forEach((function(e){e.setFoldLine(this)}),this)}(function(){this.shiftRow=function(e){this.start.row+=e,this.end.row+=e,this.folds.forEach((function(t){t.start.row+=e,t.end.row+=e}))},this.addFold=function(e){if(e.sameRow){if(e.start.row<this.startRow||e.endRow>this.endRow)throw new Error(\"Can't add a fold to this FoldLine as it has no connection\");this.folds.push(e),this.folds.sort((function(e,t){return-e.range.compareEnd(t.start.row,t.start.column)})),0<this.range.compareEnd(e.start.row,e.start.column)?(this.end.row=e.end.row,this.end.column=e.end.column):this.range.compareStart(e.end.row,e.end.column)<0&&(this.start.row=e.start.row,this.start.column=e.start.column)}else if(e.start.row==this.end.row)this.folds.push(e),this.end.row=e.end.row,this.end.column=e.end.column;else{if(e.end.row!=this.start.row)throw new Error(\"Trying to add fold to FoldRow that doesn't have a matching row\");this.folds.unshift(e),this.start.row=e.start.row,this.start.column=e.start.column}e.foldLine=this},this.containsRow=function(e){return e>=this.start.row&&e<=this.end.row},this.walk=function(e,t,n){var r,i,s=0,o=this.folds,a=!0;null==t&&(t=this.end.row,n=this.end.column);for(var c=0;c<o.length;c++){if(-1==(i=(r=o[c]).range.compareStart(t,n)))return void e(null,t,n,s,a);if(!e(null,r.start.row,r.start.column,s,a)&&e(r.placeholder,r.start.row,r.start.column,s)||0===i)return;a=!r.sameRow,s=r.end.column}e(null,t,n,s,a)},this.getNextFoldTo=function(e,t){for(var n,r,i=0;i<this.folds.length;i++){if(-1==(r=(n=this.folds[i]).range.compareEnd(e,t)))return{fold:n,kind:\"after\"};if(0===r)return{fold:n,kind:\"inside\"}}return null},this.addRemoveChars=function(e,t,n){var r,i,s=this.getNextFoldTo(e,t);if(s)if(r=s.fold,\"inside\"==s.kind&&r.start.column!=t&&r.start.row!=e)window.console&&window.console.log(e,t,r);else if(r.start.row==e){var o=(i=this.folds).indexOf(r);for(0===o&&(this.start.column+=n);o<i.length;o++){if((r=i[o]).start.column+=n,!r.sameRow)return;r.end.column+=n}this.end.column+=n}},this.split=function(e,t){if(!(r=this.getNextFoldTo(e,t))||\"inside\"==r.kind)return null;t=this.foldData;var n,r=(e=this.folds).indexOf(r.fold);return this.end.row=(n=e[r-1]).end.row,this.end.column=n.end.column,e=new i(t,e=e.splice(r,e.length-r)),t.splice(t.indexOf(this)+1,0,e),e},this.merge=function(e){for(var t=e.folds,n=0;n<t.length;n++)this.addFold(t[n]);var r=this.foldData;r.splice(r.indexOf(e),1)},this.toString=function(){var e=[this.range.toString()+\": [\"];return this.folds.forEach((function(t){e.push(\"  \"+t.toString())})),e.push(\"]\"),e.join(\"\\n\")},this.idxToPosition=function(e){for(var t=0,n=0;n<this.folds.length;n++){var r=this.folds[n];if((e-=r.start.column-t)<0)return{row:r.start.row,column:r.start.column+e};if((e-=r.placeholder.length)<0)return r.start;t=r.end.column}return{row:this.end.row,column:this.end.column+e}}}).call(i.prototype),t.FoldLine=i})),ace.define(\"ace/range_list\",[\"require\",\"exports\",\"module\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"./range\").Range.comparePoints;(function(){this.comparePoints=r,this.pointIndex=function(e,t,n){for(var i=this.ranges,s=n||0;s<i.length;s++){var o=i[s],a=r(e,o.end);if(!(0<a))return o=r(e,o.start),0===a?t&&0!==o?-s-2:s:0<o||0===o&&!t?s:-s-1}return-s-1},this.add=function(e){var t=!e.isEmpty(),n=this.pointIndex(e.start,t);return n<0&&(n=-n-1),(t=this.pointIndex(e.end,t,n))<0?t=-t-1:t++,this.ranges.splice(n,t-n,e)},this.addList=function(e){for(var t=[],n=e.length;n--;)t.push.apply(t,this.add(e[n]));return t},this.substractPoint=function(e){if(0<=(e=this.pointIndex(e)))return this.ranges.splice(e,1)},this.merge=function(){for(var e,t=[],n=this.ranges,i=(n=n.sort((function(e,t){return r(e.start,t.start)})))[0],s=1;s<n.length;s++){var o=r((e=i).end,(i=n[s]).start);o<0||(0!=o||e.isEmpty()||i.isEmpty())&&(r(e.end,i.end)<0&&(e.end.row=i.end.row,e.end.column=i.end.column),n.splice(s,1),t.push(i),i=e,s--)}return this.ranges=n,t},this.contains=function(e,t){return 0<=this.pointIndex({row:e,column:t})},this.containsPoint=function(e){return 0<=this.pointIndex(e)},this.rangeAtPoint=function(e){if(0<=(e=this.pointIndex(e)))return this.ranges[e]},this.clipRows=function(e,t){var n=this.ranges;if(n[0].start.row>t||n[n.length-1].start.row<e)return[];(e=this.pointIndex({row:e,column:0}))<0&&(e=-e-1);var r=this.pointIndex({row:t,column:0},e);r<0&&(r=-r-1);for(var i=[],s=e;s<r;s++)i.push(n[s]);return i},this.removeAll=function(){return this.ranges.splice(0,this.ranges.length)},this.attach=function(e){this.session&&this.detach(),this.session=e,this.onChange=this.$onChange.bind(this),this.session.on(\"change\",this.onChange)},this.detach=function(){this.session&&(this.session.removeListener(\"change\",this.onChange),this.session=null)},this.$onChange=function(e){for(var t=e.start,n=e.end,r=t.row,i=n.row,s=this.ranges,o=0,a=s.length;o<a&&!((c=s[o]).end.row>=r);o++);var c;if(\"insert\"==e.action)for(var l=i-r,h=-t.column+n.column;o<a&&!((c=s[o]).start.row>r);o++)c.start.row==r&&c.start.column>=t.column&&(c.start.column==t.column&&this.$bias<=0||(c.start.column+=h,c.start.row+=l)),c.end.row==r&&c.end.column>=t.column&&(c.end.column==t.column&&this.$bias<0||(c.end.column==t.column&&0<h&&o<a-1&&c.end.column>c.start.column&&c.end.column==s[o+1].start.column&&(c.end.column-=h),c.end.column+=h,c.end.row+=l));else for(l=r-i,h=t.column-n.column;o<a&&!((c=s[o]).start.row>i);o++)c.end.row<i&&(r<c.end.row||r==c.end.row&&t.column<c.end.column)?(c.end.row=r,c.end.column=t.column):c.end.row==i?c.end.column<=n.column?(l||c.end.column>t.column)&&(c.end.column=t.column,c.end.row=t.row):(c.end.column+=h,c.end.row+=l):c.end.row>i&&(c.end.row+=l),c.start.row<i&&(r<c.start.row||r==c.start.row&&t.column<c.start.column)?(c.start.row=r,c.start.column=t.column):c.start.row==i?c.start.column<=n.column?(l||c.start.column>t.column)&&(c.start.column=t.column,c.start.row=t.row):(c.start.column+=h,c.start.row+=l):c.start.row>i&&(c.start.row+=l);if(0!=l&&o<a)for(;o<a;o++)(c=s[o]).start.row+=l,c.end.row+=l}}).call((e=function(){this.ranges=[],this.$bias=1}).prototype),t.RangeList=e})),ace.define(\"ace/edit_session/fold\",[\"require\",\"exports\",\"module\",\"ace/range_list\",\"ace/lib/oop\"],(function(e,t,n){\"use strict\";var r=e(\"../range_list\").RangeList,i=(e=e(\"../lib/oop\"),t.Fold=function(e,t){this.foldLine=null,this.placeholder=t,this.range=e,this.start=e.start,this.end=e.end,this.sameRow=e.start.row==e.end.row,this.subFolds=this.ranges=[]});function s(e,t){e.row-=t.row,0==e.row&&(e.column-=t.column)}function o(e,t){0==e.row&&(e.column+=t.column),e.row+=t.row}e.inherits(i,r),(function(){this.toString=function(){return'\"'+this.placeholder+'\" '+this.range.toString()},this.setFoldLine=function(e){this.foldLine=e,this.subFolds.forEach((function(t){t.setFoldLine(e)}))},this.clone=function(){var e=this.range.clone(),t=new i(e,this.placeholder);return this.subFolds.forEach((function(e){t.subFolds.push(e.clone())})),t.collapseChildren=this.collapseChildren,t},this.addSubFold=function(e){if(!this.range.isEqual(e)){s((o=e).start,a=this.start),s(o.end,a);for(var t=e.start.row,n=e.start.column,r=0,i=-1;r<this.subFolds.length&&1==(i=this.subFolds[r].range.compare(t,n));r++);var o=this.subFolds[r],a=0;if(0==i){if(o.range.containsRange(e))return o.addSubFold(e);a=1}t=e.range.end.row,n=e.range.end.column;var c=r;for(i=-1;c<this.subFolds.length&&1==(i=this.subFolds[c].range.compare(t,n));c++);0==i&&c++;for(var l=this.subFolds.splice(r,c-r,e),h=0==i?l.length-1:l.length,d=a;d<h;d++)e.addSubFold(l[d]);return e.setFoldLine(this.foldLine),e}},this.restoreRange=function(e){return o((t=e).start,e=this.start),void o(t.end,e);var t}}).call(i.prototype)})),ace.define(\"ace/edit_session/folding\",[\"require\",\"exports\",\"module\",\"ace/range\",\"ace/edit_session/fold_line\",\"ace/edit_session/fold\",\"ace/token_iterator\"],(function(e,t,n){\"use strict\";var r=e(\"../range\").Range,i=e(\"./fold_line\").FoldLine,s=e(\"./fold\").Fold,o=e(\"../token_iterator\").TokenIterator;t.Folding=function(){this.getFoldAt=function(e,t,n){var r=this.getFoldLine(e);if(!r)return null;for(var i=r.folds,s=0;s<i.length;s++){var o=i[s].range;if(o.contains(e,t)&&(1!=n||!o.isEnd(e,t)||o.isEmpty())&&(-1!=n||!o.isStart(e,t)||o.isEmpty()))return i[s]}},this.getFoldsInRange=function(e){var t=e.start,n=e.end,r=this.$foldData,i=[];t.column+=1,--n.column;for(var s=0;s<r.length;s++)if(2!=(c=r[s].range.compareRange(e))){if(-2==c)break;for(var o=r[s].folds,a=0;a<o.length;a++){var c,l=o[a];if(-2==(c=l.range.compareRange(e)))break;if(2!=c){if(42==c)break;i.push(l)}}}return--t.column,n.column+=1,i},this.getFoldsInRangeList=function(e){var t;return Array.isArray(e)?(t=[],e.forEach((function(e){t=t.concat(this.getFoldsInRange(e))}),this)):t=this.getFoldsInRange(e),t},this.getAllFolds=function(){for(var e=[],t=this.$foldData,n=0;n<t.length;n++)for(var r=0;r<t[n].folds.length;r++)e.push(t[n].folds[r]);return e},this.getFoldStringAt=function(e,t,n,r){if(!(r=r||this.getFoldLine(e)))return null;for(var i,s,o={end:{column:0}},a=0;a<r.folds.length;a++){var c=(s=r.folds[a]).range.compareEnd(e,t);if(-1==c){i=this.getLine(s.start.row).substring(o.end.column,s.start.column);break}if(0===c)return null;o=s}return i=i||this.getLine(s.start.row).substring(o.end.column),-1==n?i.substring(0,t-o.end.column):1==n?i.substring(t-o.end.column):i},this.getFoldLine=function(e,t){var n=this.$foldData,r=0;for(t&&(r=n.indexOf(t)),-1==r&&(r=0);r<n.length;r++){var i=n[r];if(i.start.row<=e&&i.end.row>=e)return i;if(i.end.row>e)return null}return null},this.getNextFoldLine=function(e,t){var n=this.$foldData,r=0;for(t&&(r=n.indexOf(t)),-1==r&&(r=0);r<n.length;r++){var i=n[r];if(i.end.row>=e)return i}return null},this.getFoldedRowCount=function(e,t){for(var n=this.$foldData,r=t-e+1,i=0;i<n.length;i++){var s=(o=n[i]).end.row,o=o.start.row;if(t<=s){o<t&&(e<=o?r-=t-o:r=0);break}e<=s&&(r-=e<=o?s-o:s-e+1)}return r},this.$addFoldLine=function(e){return this.$foldData.push(e),this.$foldData.sort((function(e,t){return e.start.row-t.start.row})),e},this.addFold=function(e,t){var n,r=this.$foldData,o=!1;e instanceof s?n=e:(n=new s(t,e)).collapseChildren=t.collapseChildren,this.$clipRangeToDocument(n.range);var a=n.start.row,c=n.start.column,l=n.end.row,h=n.end.column;if(e=this.getFoldAt(a,c,1),t=this.getFoldAt(l,h,-1),e&&t==e)return e.addSubFold(n);e&&!e.range.isStart(a,c)&&this.removeFold(e),t&&!t.range.isEnd(l,h)&&this.removeFold(t),0<(t=this.getFoldsInRange(n.range)).length&&(this.removeFolds(t),n.collapseChildren||t.forEach((function(e){n.addSubFold(e)})));for(var d=0;d<r.length;d++){var u=r[d];if(l==u.start.row){u.addFold(n),o=!0;break}if(a==u.end.row){if(u.addFold(n),o=!0,!n.sameRow){var f=r[d+1];if(f&&f.start.row==l){u.merge(f);break}}break}if(l<=u.start.row)break}return o||(u=this.$addFoldLine(new i(this.$foldData,n))),this.$useWrapMode?this.$updateWrapData(u.start.row,u.start.row):this.$updateRowLengthCache(u.start.row,u.start.row),this.$modified=!0,this._signal(\"changeFold\",{data:n,action:\"add\"}),n},this.addFolds=function(e){e.forEach((function(e){this.addFold(e)}),this)},this.removeFold=function(e){var t=e.foldLine,n=t.start.row,r=t.end.row,i=this.$foldData,s=t.folds;1==s.length?i.splice(i.indexOf(t),1):t.range.isEnd(e.end.row,e.end.column)?(s.pop(),t.end.row=s[s.length-1].end.row,t.end.column=s[s.length-1].end.column):t.range.isStart(e.start.row,e.start.column)?(s.shift(),t.start.row=s[0].start.row,t.start.column=s[0].start.column):e.sameRow?s.splice(s.indexOf(e),1):((s=(t=t.split(e.start.row,e.start.column)).folds).shift(),t.start.row=s[0].start.row,t.start.column=s[0].start.column),this.$updating||(this.$useWrapMode?this.$updateWrapData(n,r):this.$updateRowLengthCache(n,r)),this.$modified=!0,this._signal(\"changeFold\",{data:e,action:\"remove\"})},this.removeFolds=function(e){for(var t=[],n=0;n<e.length;n++)t.push(e[n]);t.forEach((function(e){this.removeFold(e)}),this),this.$modified=!0},this.expandFold=function(e){this.removeFold(e),e.subFolds.forEach((function(t){e.restoreRange(t),this.addFold(t)}),this),0<e.collapseChildren&&this.foldAll(e.start.row+1,e.end.row,e.collapseChildren-1),e.subFolds=[]},this.expandFolds=function(e){e.forEach((function(e){this.expandFold(e)}),this)},this.unfold=function(e,t){var n;if(null==e?(n=new r(0,0,this.getLength(),0),null==t&&(t=!0)):n=\"number\"==typeof e?new r(e,0,e,this.getLine(e).length):\"row\"in e?r.fromPoints(e,e):e,n=this.getFoldsInRangeList(n),0!=t?this.removeFolds(n):this.expandFolds(n),n.length)return n},this.isRowFolded=function(e,t){return!!this.getFoldLine(e,t)},this.getRowFoldEnd=function(e,t){return(t=this.getFoldLine(e,t))?t.end.row:e},this.getRowFoldStart=function(e,t){return(t=this.getFoldLine(e,t))?t.start.row:e},this.getFoldDisplayLine=function(e,t,n,r,i){null==r&&(r=e.start.row),null==i&&(i=0),null==t&&(t=e.end.row),null==n&&(n=this.getLine(t).length);var s=this.doc,o=\"\";return e.walk((function(e,t,n,a){if(!(t<r)){if(t==r){if(n<i)return;a=Math.max(i,a)}o+=null!=e?e:s.getLine(t).substring(a,n)}}),t,n),o},this.getDisplayLine=function(e,t,n,r){var i=this.getFoldLine(e);return i?this.getFoldDisplayLine(i,e,t,n,r):(e=this.doc.getLine(e)).substring(r||0,t||e.length)},this.$cloneFoldData=function(){var e=[];return e=this.$foldData.map((function(t){return t=t.folds.map((function(e){return e.clone()})),new i(e,t)}))},this.toggleFold=function(e){var t,n=this.selection.getRange();if(n.isEmpty()){var r=n.start;if(i=this.getFoldAt(r.row,r.column))return void this.expandFold(i);(t=this.findMatchingBracket(r))?1==n.comparePoint(t)?n.end=t:(n.start=t,n.start.column++,n.end.column--):(t=this.findMatchingBracket({row:r.row,column:r.column+1}))?(1==n.comparePoint(t)?n.end=t:n.start=t,n.start.column++):n=this.getCommentFoldRange(r.row,r.column)||n}else{if(r=this.getFoldsInRange(n),e&&r.length)return void this.expandFolds(r);1==r.length&&(i=r[0])}if((i=i||this.getFoldAt(n.start.row,n.start.column))&&i.range.toString()==n.toString())this.expandFold(i);else{var i=\"...\";if(!n.isMultiLine()){if((i=this.getTextRange(n)).length<4)return;i=i.trim().substring(0,2)+\"..\"}this.addFold(i,n)}},this.getCommentFoldRange=function(e,t,n){var i=new o(this,e,t),s=i.getCurrentToken(),a=s&&s.type;if(s&&/^comment|string/.test(a)){\"comment\"==(a=a.match(/comment|string/)[0])&&(a+=\"|doc-start\");var c=new RegExp(a);if(a=new r,1!=n){for(;(s=i.stepBackward())&&c.test(s.type););i.stepForward()}if(a.start.row=i.getCurrentTokenRow(),a.start.column=i.getCurrentTokenColumn()+2,i=new o(this,e,t),-1!=n){var l=-1;do{if(s=i.stepForward(),-1==l){var h=this.getState(i.$row);c.test(h)||(l=i.$row)}else if(i.$row>l)break}while(s&&c.test(s.type));s=i.stepBackward()}else s=i.getCurrentToken();return a.end.row=i.getCurrentTokenRow(),a.end.column=i.getCurrentTokenColumn()+s.value.length-2,a}},this.foldAll=function(e,t,n,r){null==n&&(n=1e5);var i=this.foldWidgets;if(i){t=t||this.getLength();for(var s,o=e=e||0;o<t;o++)null==i[o]&&(i[o]=this.getFoldWidget(o)),\"start\"==i[o]&&(r&&!r(o)||(s=this.getFoldWidgetRange(o))&&s.isMultiLine()&&s.end.row<=t&&s.start.row>=e&&(o=s.end.row,s.collapseChildren=n,this.addFold(\"...\",s)))}},this.foldToLevel=function(e){for(this.foldAll();0<e--;)this.unfold(null,!1)},this.foldAllComments=function(){var e=this;this.foldAll(null,null,null,(function(t){for(var n=e.getTokens(t),r=0;r<n.length;r++){var i=n[r];if(\"text\"!=i.type||!/^\\s+$/.test(i.value))return!!/comment/.test(i.type)}}))},this.$foldStyles={manual:1,markbegin:1,markbeginend:1},this.$foldStyle=\"markbegin\",this.setFoldStyle=function(e){if(!this.$foldStyles[e])throw new Error(\"invalid fold style: \"+e+\"[\"+Object.keys(this.$foldStyles).join(\", \")+\"]\");this.$foldStyle!=e&&(\"manual\"==(this.$foldStyle=e)&&this.unfold(),e=this.$foldMode,this.$setFolding(null),this.$setFolding(e))},this.$setFolding=function(e){this.$foldMode!=e&&(this.$foldMode=e,this.off(\"change\",this.$updateFoldWidgets),this.off(\"tokenizerUpdate\",this.$tokenizerUpdateFoldWidgets),this._signal(\"changeAnnotation\"),e&&\"manual\"!=this.$foldStyle?(this.foldWidgets=[],this.getFoldWidget=e.getFoldWidget.bind(e,this,this.$foldStyle),this.getFoldWidgetRange=e.getFoldWidgetRange.bind(e,this,this.$foldStyle),this.$updateFoldWidgets=this.updateFoldWidgets.bind(this),this.$tokenizerUpdateFoldWidgets=this.tokenizerUpdateFoldWidgets.bind(this),this.on(\"change\",this.$updateFoldWidgets),this.on(\"tokenizerUpdate\",this.$tokenizerUpdateFoldWidgets)):this.foldWidgets=null)},this.getParentFoldRangeData=function(e,t){var n=this.foldWidgets;if(!n||t&&n[e])return{};for(var r=e-1;0<=r;){var i=n[r];if(null==i&&(i=n[r]=this.getFoldWidget(r)),\"start\"==i){var s=this.getFoldWidgetRange(r),o=o||s;if(s&&s.end.row>=e)break}r--}return{range:-1!==r&&s,firstRange:o}},this.onFoldWidgetClick=function(e,t){var n={children:(t=t.domEvent).shiftKey,all:t.ctrlKey||t.metaKey,siblings:t.altKey};this.$toggleFoldWidget(e,n)||(t=t.target||t.srcElement)&&/ace_fold-widget/.test(t.className)&&(t.className+=\" ace_invalid\")},this.$toggleFoldWidget=function(e,t){if(this.getFoldWidget){var n,r,i=this.getFoldWidget(e),s=this.getLine(e);return(s=this.getFoldAt(e,-1==(i=\"end\"===i?-1:1)?0:s.length,i))?(t.children||t.all?this.removeFold(s):this.expandFold(s),s):(i=this.getFoldWidgetRange(e,!0))&&!i.isMultiLine()&&(s=this.getFoldAt(i.start.row,i.start.column,1))&&i.isEqual(s.range)?(this.removeFold(s),s):(t.siblings?((s=this.getParentFoldRangeData(e)).range&&(n=s.range.start.row+1,r=s.range.end.row),this.foldAll(n,r,t.all?1e4:0)):t.children?(r=i?i.end.row:this.getLength(),this.foldAll(e+1,r,t.all?1e4:0)):i&&(t.all&&(i.collapseChildren=1e4),this.addFold(\"...\",i)),i)}},this.toggleFoldWidget=function(e){var t,n=this.selection.getCursor().row,r=(n=this.getRowFoldStart(n),this.$toggleFoldWidget(n,{}));r||(r=(t=this.getParentFoldRangeData(n,!0)).range||t.firstRange)&&((n=this.getFoldAt(n=r.start.row,this.getLine(n).length,1))?this.removeFold(n):this.addFold(\"...\",r))},this.updateFoldWidgets=function(e){var t=e.start.row,n=e.end.row-t;0==n?this.foldWidgets[t]=null:\"remove\"==e.action?this.foldWidgets.splice(t,1+n,null):((n=Array(1+n)).unshift(t,1),this.foldWidgets.splice.apply(this.foldWidgets,n))},this.tokenizerUpdateFoldWidgets=function(e){(e=e.data).first!=e.last&&this.foldWidgets.length>e.first&&this.foldWidgets.splice(e.first,this.foldWidgets.length)}}})),ace.define(\"ace/edit_session/bracket_match\",[\"require\",\"exports\",\"module\",\"ace/token_iterator\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"../token_iterator\").TokenIterator,i=e(\"../range\").Range;t.BracketMatch=function(){this.findMatchingBracket=function(e,t){return 0==e.column||\"\"==(t=t||this.getLine(e.row).charAt(e.column-1))?null:(t=t.match(/([\\(\\[\\{])|([\\)\\]\\}])/))?t[1]?this.$findClosingBracket(t[1],e):this.$findOpeningBracket(t[2],e):null},this.getBracketRange=function(e){var t,n,r=this.getLine(e.row),s=!0,o=r.charAt(e.column-1),a=o&&o.match(/([\\(\\[\\{])|([\\)\\]\\}])/);if(a||(o=r.charAt(e.column),e={row:e.row,column:e.column+1},a=o&&o.match(/([\\(\\[\\{])|([\\)\\]\\}])/),s=!1),!a)return null;if(a[1]){if(!(n=this.$findClosingBracket(a[1],e)))return null;t=i.fromPoints(e,n),s||(t.end.column++,t.start.column--),t.cursor=t.end}else{if(!(n=this.$findOpeningBracket(a[2],e)))return null;t=i.fromPoints(n,e),s||(t.start.column++,t.end.column--),t.cursor=t.start}return t},this.getMatchingBracketRanges=function(e){var t=this.getLine(e.row),n=t.charAt(e.column-1),r=n&&n.match(/([\\(\\[\\{])|([\\)\\]\\}])/);return r||(n=t.charAt(e.column),e={row:e.row,column:e.column+1},r=n&&n.match(/([\\(\\[\\{])|([\\)\\]\\}])/)),r?(n=new i(e.row,e.column-1,e.row,e.column),(e=r[1]?this.$findClosingBracket(r[1],e):this.$findOpeningBracket(r[2],e))?[n,new i(e.row,e.column,e.row,e.column+1)]:[n]):null},this.$brackets={\")\":\"(\",\"(\":\")\",\"]\":\"[\",\"[\":\"]\",\"{\":\"}\",\"}\":\"{\",\"<\":\">\",\">\":\"<\"},this.$findOpeningBracket=function(e,t,n){var i=this.$brackets[e],s=1,o=new r(this,t.row,t.column),a=o.getCurrentToken();if(a=a||o.stepForward()){n=n||new RegExp(\"(\\\\.?\"+a.type.replace(\".\",\"\\\\.\").replace(\"rparen\",\".paren\").replace(/\\b(?:end)\\b/,\"(?:start|begin|end)\")+\")+\");for(var c=t.column-o.getCurrentTokenColumn()-2,l=a.value;;){for(;0<=c;){var h=l.charAt(c);if(h==i){if(0==--s)return{row:o.getCurrentTokenRow(),column:c+o.getCurrentTokenColumn()}}else h==e&&(s+=1);--c}for(;(a=o.stepBackward())&&!n.test(a.type););if(null==a)break;c=(l=a.value).length-1}return null}},this.$findClosingBracket=function(e,t,n){var i=this.$brackets[e],s=1,o=new r(this,t.row,t.column),a=o.getCurrentToken();if(a=a||o.stepForward()){n=n||new RegExp(\"(\\\\.?\"+a.type.replace(\".\",\"\\\\.\").replace(\"lparen\",\".paren\").replace(/\\b(?:start|begin)\\b/,\"(?:start|begin|end)\")+\")+\");for(var c=t.column-o.getCurrentTokenColumn();;){for(var l=a.value,h=l.length;c<h;){var d=l.charAt(c);if(d==i){if(0==--s)return{row:o.getCurrentTokenRow(),column:c+o.getCurrentTokenColumn()}}else d==e&&(s+=1);c+=1}for(;(a=o.stepForward())&&!n.test(a.type););if(null==a)break;c=0}return null}}}})),ace.define(\"ace/edit_session\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/lang\",\"ace/bidihandler\",\"ace/config\",\"ace/lib/event_emitter\",\"ace/selection\",\"ace/mode/text\",\"ace/range\",\"ace/document\",\"ace/background_tokenizer\",\"ace/search_highlight\",\"ace/edit_session/folding\",\"ace/edit_session/bracket_match\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/oop\"),i=e(\"./lib/lang\"),s=e(\"./bidihandler\").BidiHandler,o=e(\"./config\"),a=e(\"./lib/event_emitter\").EventEmitter,c=e(\"./selection\").Selection,l=e(\"./mode/text\").Mode,h=e(\"./range\").Range,d=e(\"./document\").Document,u=e(\"./background_tokenizer\").BackgroundTokenizer,f=e(\"./search_highlight\").SearchHighlight,g=function(e,t){this.$breakpoints=[],this.$decorations=[],this.$frontMarkers={},this.$backMarkers={},this.$markerId=1,this.$undoSelect=!0,this.$foldData=[],this.id=\"session\"+ ++g.$uid,this.$foldData.toString=function(){return this.join(\"\\n\")},this.on(\"changeFold\",this.onChangeFold.bind(this)),this.$onChange=this.onChange.bind(this),\"object\"==typeof e&&e.getLine||(e=new d(e)),this.setDocument(e),this.selection=new c(this),this.$bidiHandler=new s(this),o.resetOptions(this),this.setMode(t),o._signal(\"session\",this)};g.$uid=0,(function(){r.implement(this,a),this.setDocument=function(e){this.doc&&this.doc.removeListener(\"change\",this.$onChange),(this.doc=e).on(\"change\",this.$onChange),this.bgTokenizer&&this.bgTokenizer.setDocument(this.getDocument()),this.resetCaches()},this.getDocument=function(){return this.doc},this.$resetRowCache=function(e){if(!e)return this.$docRowCache=[],void(this.$screenRowCache=[]);var t=this.$docRowCache.length;(e=this.$getRowCacheIndex(this.$docRowCache,e)+1)<t&&(this.$docRowCache.splice(e,t),this.$screenRowCache.splice(e,t))},this.$getRowCacheIndex=function(e,t){for(var n=0,r=e.length-1;n<=r;){var i=n+r>>1,s=e[i];if(s<t)n=1+i;else{if(!(t<s))return i;r=i-1}}return n-1},this.resetCaches=function(){this.$modified=!0,this.$wrapData=[],this.$rowLengthCache=[],this.$resetRowCache(0),this.bgTokenizer&&this.bgTokenizer.start(0)},this.onChangeFold=function(e){this.$resetRowCache((e=e.data).start.row)},this.onChange=function(e){this.$modified=!0,this.$bidiHandler.onChange(e),this.$resetRowCache(e.start.row);var t=this.$updateInternalDataOnChange(e);!this.$fromUndo&&this.$undoManager&&(t&&t.length&&(this.$undoManager.add({action:\"removeFolds\",folds:t},this.mergeUndoDeltas),this.mergeUndoDeltas=!0),this.$undoManager.add(e,this.mergeUndoDeltas),this.mergeUndoDeltas=!0,this.$informUndoManager.schedule()),this.bgTokenizer&&this.bgTokenizer.$updateOnChange(e),this._signal(\"change\",e)},this.setValue=function(e){this.doc.setValue(e),this.selection.moveTo(0,0),this.$resetRowCache(0),this.setUndoManager(this.$undoManager),this.getUndoManager().reset()},this.getValue=this.toString=function(){return this.doc.getValue()},this.getSelection=function(){return this.selection},this.getState=function(e){return this.bgTokenizer.getState(e)},this.getTokens=function(e){return this.bgTokenizer.getTokens(e)},this.getTokenAt=function(e,t){var n=this.bgTokenizer.getTokens(e),r=0;if(null==t){var i=n.length-1;r=this.getLine(e).length}else for(i=0;i<n.length&&!(t<=(r+=n[i].value.length));i++);return(e=n[i])?(e.index=i,e.start=r-e.value.length,e):null},this.setUndoManager=function(e){var t;this.$undoManager=e,this.$informUndoManager&&this.$informUndoManager.cancel(),e?(t=this,e.addSession(this),this.$syncInformUndoManager=function(){t.$informUndoManager.cancel(),t.mergeUndoDeltas=!1},this.$informUndoManager=i.delayedCall(this.$syncInformUndoManager)):this.$syncInformUndoManager=function(){}},this.markUndoGroup=function(){this.$syncInformUndoManager&&this.$syncInformUndoManager()},this.$defaultUndoManager={undo:function(){},redo:function(){},hasUndo:function(){},hasRedo:function(){},reset:function(){},add:function(){},addSelection:function(){},startNewGroup:function(){},addSession:function(){}},this.getUndoManager=function(){return this.$undoManager||this.$defaultUndoManager},this.getTabString=function(){return this.getUseSoftTabs()?i.stringRepeat(\" \",this.getTabSize()):\"\\t\"},this.setUseSoftTabs=function(e){this.setOption(\"useSoftTabs\",e)},this.getUseSoftTabs=function(){return this.$useSoftTabs&&!this.$mode.$indentWithTabs},this.setTabSize=function(e){this.setOption(\"tabSize\",e)},this.getTabSize=function(){return this.$tabSize},this.isTabStop=function(e){return this.$useSoftTabs&&e.column%this.$tabSize==0},this.setNavigateWithinSoftTabs=function(e){this.setOption(\"navigateWithinSoftTabs\",e)},this.getNavigateWithinSoftTabs=function(){return this.$navigateWithinSoftTabs},this.$overwrite=!1,this.setOverwrite=function(e){this.setOption(\"overwrite\",e)},this.getOverwrite=function(){return this.$overwrite},this.toggleOverwrite=function(){this.setOverwrite(!this.$overwrite)},this.addGutterDecoration=function(e,t){this.$decorations[e]||(this.$decorations[e]=\"\"),this.$decorations[e]+=\" \"+t,this._signal(\"changeBreakpoint\",{})},this.removeGutterDecoration=function(e,t){this.$decorations[e]=(this.$decorations[e]||\"\").replace(\" \"+t,\"\"),this._signal(\"changeBreakpoint\",{})},this.getBreakpoints=function(){return this.$breakpoints},this.setBreakpoints=function(e){this.$breakpoints=[];for(var t=0;t<e.length;t++)this.$breakpoints[e[t]]=\"ace_breakpoint\";this._signal(\"changeBreakpoint\",{})},this.clearBreakpoints=function(){this.$breakpoints=[],this._signal(\"changeBreakpoint\",{})},this.setBreakpoint=function(e,t){void 0===t&&(t=\"ace_breakpoint\"),t?this.$breakpoints[e]=t:delete this.$breakpoints[e],this._signal(\"changeBreakpoint\",{})},this.clearBreakpoint=function(e){delete this.$breakpoints[e],this._signal(\"changeBreakpoint\",{})},this.addMarker=function(e,t,n,r){var i=this.$markerId++;return t={range:e,type:n||\"line\",renderer:\"function\"==typeof n?n:null,clazz:t,inFront:!!r,id:i},r?(this.$frontMarkers[i]=t,this._signal(\"changeFrontMarker\")):(this.$backMarkers[i]=t,this._signal(\"changeBackMarker\")),i},this.addDynamicMarker=function(e,t){if(e.update){var n=this.$markerId++;return e.id=n,e.inFront=!!t,t?(this.$frontMarkers[n]=e,this._signal(\"changeFrontMarker\")):(this.$backMarkers[n]=e,this._signal(\"changeBackMarker\")),e}},this.removeMarker=function(e){var t=this.$frontMarkers[e]||this.$backMarkers[e];t&&(delete(t.inFront?this.$frontMarkers:this.$backMarkers)[e],this._signal(t.inFront?\"changeFrontMarker\":\"changeBackMarker\"))},this.getMarkers=function(e){return e?this.$frontMarkers:this.$backMarkers},this.highlight=function(e){var t;this.$searchHighlight||(t=new f(null,\"ace_selected-word\",\"text\"),this.$searchHighlight=this.addDynamicMarker(t)),this.$searchHighlight.setRegexp(e)},this.highlightLines=function(e,t,n,r){return\"number\"!=typeof t&&(n=t,t=e),n=n||\"ace_step\",(t=new h(e,0,t,1/0)).id=this.addMarker(t,n,\"fullLine\",r),t},this.setAnnotations=function(e){this.$annotations=e,this._signal(\"changeAnnotation\",{})},this.getAnnotations=function(){return this.$annotations||[]},this.clearAnnotations=function(){this.setAnnotations([])},this.$detectNewLine=function(e){e=e.match(/^.*?(\\r?\\n)/m),this.$autoNewLine=e?e[1]:\"\\n\"},this.getWordRange=function(e,t){var n,r=this.getLine(e),i=!1;0<t&&(i=!!r.charAt(t-1).match(this.tokenRe)),n=(i=i||!!r.charAt(t).match(this.tokenRe))?this.tokenRe:/^\\s+$/.test(r.slice(t-1,t+1))?/\\s/:this.nonTokenRe;var s=t;if(0<s){for(;0<=--s&&r.charAt(s).match(n););s++}for(var o=t;o<r.length&&r.charAt(o).match(n);)o++;return new h(e,s,e,o)},this.getAWordRange=function(e,t){for(var n=this.getWordRange(e,t),r=this.getLine(n.end.row);r.charAt(n.end.column).match(/[ \\t]/);)n.end.column+=1;return n},this.setNewLineMode=function(e){this.doc.setNewLineMode(e)},this.getNewLineMode=function(){return this.doc.getNewLineMode()},this.setUseWorker=function(e){this.setOption(\"useWorker\",e)},this.getUseWorker=function(){return this.$useWorker},this.onReloadTokenizer=function(e){this.bgTokenizer.start(e.data.first),this._signal(\"tokenizerUpdate\",e)},this.$modes=o.$modes,this.$mode=null,this.$modeId=null,this.setMode=function(e,t){if(e&&\"object\"==typeof e){if(e.getTokenizer)return this.$onChangeMode(e);var n=e,r=e.path}else r=e||\"ace/mode/text\";if(this.$modes[\"ace/mode/text\"]||(this.$modes[\"ace/mode/text\"]=new l),this.$modes[r]&&!n)return this.$onChangeMode(this.$modes[r]),void(t&&t());this.$modeId=r,o.loadModule([\"mode\",r],(function(e){if(this.$modeId!==r)return t&&t();this.$modes[r]&&!n?this.$onChangeMode(this.$modes[r]):e&&e.Mode&&(e=new e.Mode(n),n||((this.$modes[r]=e).$id=r),this.$onChangeMode(e)),t&&t()}).bind(this)),this.$mode||this.$onChangeMode(this.$modes[\"ace/mode/text\"],!0)},this.$onChangeMode=function(e,t){var n,r,i,s;t||(this.$modeId=e.$id),this.$mode!==e&&(n=this.$mode,this.$mode=e,this.$stopWorker(),this.$useWorker&&this.$startWorker(),void 0!==(r=e.getTokenizer()).on&&(i=this.onReloadTokenizer.bind(this),r.on(\"update\",i)),this.bgTokenizer?this.bgTokenizer.setTokenizer(r):(this.bgTokenizer=new u(r),(s=this).bgTokenizer.on(\"update\",(function(e){s._signal(\"tokenizerUpdate\",e)}))),this.bgTokenizer.setDocument(this.getDocument()),this.tokenRe=e.tokenRe,this.nonTokenRe=e.nonTokenRe,t||(e.attachToSession&&e.attachToSession(this),this.$options.wrapMethod.set.call(this,this.$wrapMethod),this.$setFolding(e.foldingRules),this.bgTokenizer.start(0),this._emit(\"changeMode\",{oldMode:n,mode:e})))},this.$stopWorker=function(){this.$worker&&(this.$worker.terminate(),this.$worker=null)},this.$startWorker=function(){try{this.$worker=this.$mode.createWorker(this)}catch(e){o.warn(\"Could not load worker\",e),this.$worker=null}},this.getMode=function(){return this.$mode},this.$scrollTop=0,this.setScrollTop=function(e){this.$scrollTop===e||isNaN(e)||(this.$scrollTop=e,this._signal(\"changeScrollTop\",e))},this.getScrollTop=function(){return this.$scrollTop},this.$scrollLeft=0,this.setScrollLeft=function(e){this.$scrollLeft===e||isNaN(e)||(this.$scrollLeft=e,this._signal(\"changeScrollLeft\",e))},this.getScrollLeft=function(){return this.$scrollLeft},this.getScreenWidth=function(){return this.$computeWidth(),this.lineWidgets?Math.max(this.getLineWidgetMaxWidth(),this.screenWidth):this.screenWidth},this.getLineWidgetMaxWidth=function(){if(null!=this.lineWidgetsWidth)return this.lineWidgetsWidth;var e=0;return this.lineWidgets.forEach((function(t){t&&t.screenWidth>e&&(e=t.screenWidth)})),this.lineWidgetWidth=e},this.$computeWidth=function(e){if(this.$modified||e){if(this.$modified=!1,this.$useWrapMode)return this.screenWidth=this.$wrapLimit;for(var t=this.doc.getAllLines(),n=this.$rowLengthCache,r=0,i=0,s=this.$foldData[i],o=s?s.start.row:1/0,a=t.length,c=0;c<a;c++){if(o<c){if(a<=(c=s.end.row+1))break;o=(s=this.$foldData[i++])?s.start.row:1/0}null==n[c]&&(n[c]=this.$getStringScreenWidth(t[c])[0]),n[c]>r&&(r=n[c])}this.screenWidth=r}},this.getLine=function(e){return this.doc.getLine(e)},this.getLines=function(e,t){return this.doc.getLines(e,t)},this.getLength=function(){return this.doc.getLength()},this.getTextRange=function(e){return this.doc.getTextRange(e||this.selection.getRange())},this.insert=function(e,t){return this.doc.insert(e,t)},this.remove=function(e){return this.doc.remove(e)},this.removeFullLines=function(e,t){return this.doc.removeFullLines(e,t)},this.undoChanges=function(e,t){if(e.length){this.$fromUndo=!0;for(var n=e.length-1;-1!=n;n--){var r=e[n];\"insert\"==r.action||\"remove\"==r.action?this.doc.revertDelta(r):r.folds&&this.addFolds(r.folds)}!t&&this.$undoSelect&&(e.selectionBefore?this.selection.fromJSON(e.selectionBefore):this.selection.setRange(this.$getUndoSelection(e,!0))),this.$fromUndo=!1}},this.redoChanges=function(e,t){if(e.length){this.$fromUndo=!0;for(var n=0;n<e.length;n++){var r=e[n];\"insert\"!=r.action&&\"remove\"!=r.action||this.doc.$safeApplyDelta(r)}!t&&this.$undoSelect&&(e.selectionAfter?this.selection.fromJSON(e.selectionAfter):this.selection.setRange(this.$getUndoSelection(e,!1))),this.$fromUndo=!1}},this.setUndoSelect=function(e){this.$undoSelect=e},this.$getUndoSelection=function(e,t){function n(e){return t?\"insert\"!==e.action:\"insert\"===e.action}for(var r,i,s=0;s<e.length;s++){var o=e[s];o.start&&(r?n(o)?(-1==r.compare((i=o.start).row,i.column)&&r.setStart(i),1==r.compare((i=o.end).row,i.column)&&r.setEnd(i)):-1==r.compare((i=o.start).row,i.column)&&(r=h.fromPoints(o.start,o.start)):r=n(o)?h.fromPoints(o.start,o.end):h.fromPoints(o.start,o.start))}return r},this.replace=function(e,t){return this.doc.replace(e,t)},this.moveText=function(e,t,n){var r,i,s,o=this.getTextRange(e),a=this.getFoldsInRange(e);return t=h.fromPoints(t,t),n||(this.remove(e),(s=(i=e.start.row-e.end.row)?-e.end.column:e.start.column-e.end.column)&&(t.start.row==e.end.row&&t.start.column>e.end.column&&(t.start.column+=s),t.end.row==e.end.row&&t.end.column>e.end.column&&(t.end.column+=s)),i&&t.start.row>=e.end.row&&(t.start.row+=i,t.end.row+=i)),t.end=this.insert(t.start,o),a.length&&(r=e.start,i=(e=t.start).row-r.row,s=e.column-r.column,this.addFolds(a.map((function(e){return(e=e.clone()).start.row==r.row&&(e.start.column+=s),e.end.row==r.row&&(e.end.column+=s),e.start.row+=i,e.end.row+=i,e})))),t},this.indentRows=function(e,t,n){n=n.replace(/\\t/g,this.getTabString());for(var r=e;r<=t;r++)this.doc.insertInLine({row:r,column:0},n)},this.outdentRows=function(e){for(var t=e.collapseRows(),n=new h(0,0,0,0),r=this.getTabSize(),i=t.start.row;i<=t.end.row;++i){var s=this.getLine(i);n.start.row=i,n.end.row=i;for(var o=0;o<r&&\" \"==s.charAt(o);++o);o<r&&\"\\t\"==s.charAt(o)?(n.start.column=o,n.end.column=o+1):(n.start.column=0,n.end.column=o),this.remove(n)}},this.$moveLines=function(e,t,n){if(e=this.getRowFoldStart(e),t=this.getRowFoldEnd(t),n<0){if((i=this.getRowFoldStart(e+n))<0)return 0;var r=i-e}else if(0<n){if((i=this.getRowFoldEnd(t+n))>this.doc.getLength()-1)return 0;r=i-t}else e=this.$clipRowToDocument(e),r=(t=this.$clipRowToDocument(t))-e+1;var i=new h(e,0,t,Number.MAX_VALUE);return i=this.getFoldsInRange(i).map((function(e){return(e=e.clone()).start.row+=r,e.end.row+=r,e})),t=0==n?this.doc.getLines(e,t):this.doc.removeFullLines(e,t),this.doc.insertFullLines(e+r,t),i.length&&this.addFolds(i),r},this.moveLinesUp=function(e,t){return this.$moveLines(e,t,-1)},this.moveLinesDown=function(e,t){return this.$moveLines(e,t,1)},this.duplicateLines=function(e,t){return this.$moveLines(e,t,0)},this.$clipRowToDocument=function(e){return Math.max(0,Math.min(e,this.doc.getLength()-1))},this.$clipColumnToRow=function(e,t){return t<0?0:Math.min(this.doc.getLine(e).length,t)},this.$clipPositionToDocument=function(e,t){var n;return t=Math.max(0,t),t=e<0?e=0:(n=this.doc.getLength())<=e?(e=n-1,this.doc.getLine(n-1).length):Math.min(this.doc.getLine(e).length,t),{row:e,column:t}},this.$clipRangeToDocument=function(e){e.start.row<0?(e.start.row=0,e.start.column=0):e.start.column=this.$clipColumnToRow(e.start.row,e.start.column);var t=this.doc.getLength()-1;return e.end.row>t?(e.end.row=t,e.end.column=this.doc.getLine(t).length):e.end.column=this.$clipColumnToRow(e.end.row,e.end.column),e},this.$wrapLimit=80,this.$useWrapMode=!1,this.$wrapLimitRange={min:null,max:null},this.setUseWrapMode=function(e){e!=this.$useWrapMode&&(this.$useWrapMode=e,this.$modified=!0,this.$resetRowCache(0),e&&(e=this.getLength(),this.$wrapData=Array(e),this.$updateWrapData(0,e-1)),this._signal(\"changeWrapMode\"))},this.getUseWrapMode=function(){return this.$useWrapMode},this.setWrapLimitRange=function(e,t){this.$wrapLimitRange.min===e&&this.$wrapLimitRange.max===t||(this.$wrapLimitRange={min:e,max:t},this.$modified=!0,this.$bidiHandler.markAsDirty(),this.$useWrapMode&&this._signal(\"changeWrapMode\"))},this.adjustWrapLimit=function(e,t){var n=this.$wrapLimitRange;return n.max<0&&(n={min:t,max:t}),(n=this.$constrainWrapLimit(e,n.min,n.max))!=this.$wrapLimit&&1<n&&(this.$wrapLimit=n,this.$modified=!0,this.$useWrapMode&&(this.$updateWrapData(0,this.getLength()-1),this.$resetRowCache(0),this._signal(\"changeWrapLimit\")),!0)},this.$constrainWrapLimit=function(e,t,n){return t&&(e=Math.max(t,e)),n&&(e=Math.min(n,e)),e},this.getWrapLimit=function(){return this.$wrapLimit},this.setWrapLimit=function(e){this.setWrapLimitRange(e,e)},this.getWrapLimitRange=function(){return{min:this.$wrapLimitRange.min,max:this.$wrapLimitRange.max}},this.$updateInternalDataOnChange=function(e){var t,n=this.$useWrapMode,r=e.action,i=e.start,s=e.end,o=i.row,a=s.row,c=a-o,l=null;if(this.$updating=!0,0!=c)if(\"remove\"===r){this[n?\"$wrapData\":\"$rowLengthCache\"].splice(o,c);var h=this.$foldData;l=this.getFoldsInRange(e),this.removeFolds(l);var d=0;for((t=this.getFoldLine(s.row))&&(t.addRemoveChars(s.row,s.column,i.column-s.column),t.shiftRow(-c),(f=this.getFoldLine(o))&&f!==t&&(f.merge(t),t=f),d=h.indexOf(t)+1);d<h.length;d++)(t=h[d]).start.row>=s.row&&t.shiftRow(-c);a=o}else{var u=Array(c);u.unshift(o,0);var f=n?this.$wrapData:this.$rowLengthCache;for(f.splice.apply(f,u),h=this.$foldData,d=0,(t=this.getFoldLine(o))&&(0==(u=t.range.compareInside(i.row,i.column))?(t=t.split(i.row,i.column))&&(t.shiftRow(c),t.addRemoveChars(a,0,s.column-i.column)):-1==u&&(t.addRemoveChars(o,0,s.column-i.column),t.shiftRow(c)),d=h.indexOf(t)+1);d<h.length;d++)(t=h[d]).start.row>=o&&t.shiftRow(c)}else c=Math.abs(e.start.column-e.end.column),\"remove\"===r&&(l=this.getFoldsInRange(e),this.removeFolds(l),c=-c),(t=this.getFoldLine(o))&&t.addRemoveChars(o,i.column,c);return n&&this.$wrapData.length!=this.doc.getLength()&&console.error(\"doc.getLength() and $wrapData.length have to be the same!\"),this.$updating=!1,n?this.$updateWrapData(o,a):this.$updateRowLengthCache(o,a),l},this.$updateRowLengthCache=function(e,t,n){this.$rowLengthCache[e]=null,this.$rowLengthCache[t]=null},this.$updateWrapData=function(e,r){var i,s,o=this.doc.getAllLines(),a=this.getTabSize(),c=this.$wrapData,l=this.$wrapLimit,h=e;for(r=Math.min(r,o.length-1);h<=r;)(s=this.getFoldLine(h,s))?(i=[],s.walk((function(e,r,s,a){var c;if(null!=e){(c=this.$getDisplayTokens(e,i.length))[0]=t;for(var l=1;l<c.length;l++)c[l]=n}else c=this.$getDisplayTokens(o[r].substring(a,s),i.length);i=i.concat(c)}).bind(this),s.end.row,o[s.end.row].length+1),c[s.start.row]=this.$computeWrapSplits(i,l,a),h=s.end.row+1):(i=this.$getDisplayTokens(o[h]),c[h]=this.$computeWrapSplits(i,l,a),h++)};var t=3,n=4;function s(e){return!(e<4352)&&(4352<=e&&e<=4447||4515<=e&&e<=4519||4602<=e&&e<=4607||9001<=e&&e<=9002||11904<=e&&e<=11929||11931<=e&&e<=12019||12032<=e&&e<=12245||12272<=e&&e<=12283||12288<=e&&e<=12350||12353<=e&&e<=12438||12441<=e&&e<=12543||12549<=e&&e<=12589||12593<=e&&e<=12686||12688<=e&&e<=12730||12736<=e&&e<=12771||12784<=e&&e<=12830||12832<=e&&e<=12871||12880<=e&&e<=13054||13056<=e&&e<=19903||19968<=e&&e<=42124||42128<=e&&e<=42182||43360<=e&&e<=43388||44032<=e&&e<=55203||55216<=e&&e<=55238||55243<=e&&e<=55291||63744<=e&&e<=64255||65040<=e&&e<=65049||65072<=e&&e<=65106||65108<=e&&e<=65126||65128<=e&&e<=65131||65281<=e&&e<=65376||65504<=e&&e<=65510)}this.$computeWrapSplits=function(e,r,i){if(0==e.length)return[];var s=[],o=e.length,a=0,c=0,l=this.$wrapAsCode,h=this.$indentedSoftWrap,d=r<=Math.max(2*i,8)||!1===h?0:Math.floor(r/2);function u(t){for(var n=t-a,r=a;r<t;r++){var o=e[r];12!==o&&2!==o||--n}s.length||(f=function(){var t=0;if(0===d)return t;if(h)for(var n=0;n<e.length;n++){var r=e[n];if(10==r)t+=1;else if(11==r)t+=i;else if(12!=r)break}return l&&!1!==h&&(t+=i),Math.min(t,d)}(),s.indent=f),s.push(c+=n),a=t}for(var f=0;r-f<o-a;){var g=a+r-f;if(10<=e[g-1]&&10<=e[g])u(g);else if(e[g]!=t&&e[g]!=n){for(var p=Math.max(g-(r-(r>>2)),a-1);p<g&&e[g]<t;)g--;if(l){for(;p<g&&e[g]<t;)g--;for(;p<g&&9==e[g];)g--}else for(;p<g&&e[g]<10;)g--;p<g?u(++g):(2==e[g=a+r]&&g--,u(g-f))}else{for(;g!=a-1&&e[g]!=t;g--);if(a<g)u(g);else{for(g=a+r;g<e.length&&e[g]==n;g++);if(g==e.length)break;u(g)}}}return s},this.$getDisplayTokens=function(e,t){var n,r=[];t=t||0;for(var i=0;i<e.length;i++){var o=e.charCodeAt(i);if(9==o){n=this.getScreenTabSize(r.length+t),r.push(11);for(var a=1;a<n;a++)r.push(12)}else 32==o?r.push(10):39<o&&o<48||57<o&&o<64?r.push(9):4352<=o&&s(o)?r.push(1,2):r.push(1)}return r},this.$getStringScreenWidth=function(e,t,n){if(0==t)return[0,0];var r,i;for(null==t&&(t=1/0),n=n||0,i=0;i<e.length&&(9==(r=e.charCodeAt(i))?n+=this.getScreenTabSize(n):4352<=r&&s(r)?n+=2:n+=1,!(t<n));i++);return[n,i]},this.lineWidgets=null,this.getRowLength=function(e){var t=1;return this.lineWidgets&&(t+=this.lineWidgets[e]&&this.lineWidgets[e].rowCount||0),this.$useWrapMode&&this.$wrapData[e]?this.$wrapData[e].length+t:t},this.getRowLineCount=function(e){return this.$useWrapMode&&this.$wrapData[e]?this.$wrapData[e].length+1:1},this.getRowWrapIndent=function(e){if(this.$useWrapMode){var t=this.screenToDocumentPosition(e,Number.MAX_VALUE);return(e=this.$wrapData[t.row]).length&&e[0]<t.column?e.indent:0}return 0},this.getScreenLastRowColumn=function(e){return e=this.screenToDocumentPosition(e,Number.MAX_VALUE),this.documentToScreenColumn(e.row,e.column)},this.getDocumentLastRowColumn=function(e,t){return t=this.documentToScreenRow(e,t),this.getScreenLastRowColumn(t)},this.getDocumentLastRowColumnPosition=function(e,t){return t=this.documentToScreenRow(e,t),this.screenToDocumentPosition(t,Number.MAX_VALUE/10)},this.getRowSplitData=function(e){if(this.$useWrapMode)return this.$wrapData[e]},this.getScreenTabSize=function(e){return this.$tabSize-(e%this.$tabSize|0)},this.screenToDocumentRow=function(e,t){return this.screenToDocumentPosition(e,t).row},this.screenToDocumentColumn=function(e,t){return this.screenToDocumentPosition(e,t).column},this.screenToDocumentPosition=function(e,t,n){if(e<0)return{row:0,column:0};var r,i,s,o=0,a=0,c=0,l=0,h=this.$screenRowCache,d=this.$getRowCacheIndex(h,e),u=h.length;s=u&&0<=d?(c=h[d],o=this.$docRowCache[d],e>h[u-1]):!u;for(var f=this.getLength()-1,g=this.getNextFoldLine(o),p=g?g.start.row:1/0;c<=e&&!(e<c+(l=this.getRowLength(o))||f<=o);)c+=l,p<++o&&(p=(g=this.getNextFoldLine(o=g.end.row+1,g))?g.start.row:1/0),s&&(this.$docRowCache.push(o),this.$screenRowCache.push(c));if(g&&g.start.row<=o)r=this.getFoldDisplayLine(g),o=g.start.row;else{if(c+l<=e||f<o)return{row:f,column:this.getLine(f).length};r=this.getLine(o),g=null}return d=0,h=Math.floor(e-c),!this.$useWrapMode||(u=this.$wrapData[o])&&(i=u[h],0<h&&u.length&&(d=u.indent,r=r.substring(a=u[h-1]||u[u.length-1]))),void 0!==n&&this.$bidiHandler.isBidiRow(c+h,o,h)&&(t=this.$bidiHandler.offsetToCol(n)),a+=this.$getStringScreenWidth(r,t-d)[1],this.$useWrapMode&&i<=a&&(a=i-1),g?g.idxToPosition(a):{row:o,column:a}},this.documentToScreenPosition=function(e,t){e=(l=void 0===t?this.$clipPositionToDocument(e.row,e.column):this.$clipPositionToDocument(e,t)).row;var n,r=0,i=null;(i=this.getFoldAt(e,t=l.column,1))&&(e=i.start.row,t=i.start.column);var s,o,a=0,c=this.$docRowCache,l=this.$getRowCacheIndex(c,e);o=(i=c.length)&&0<=l?(a=c[l],r=this.$screenRowCache[l],e>c[i-1]):!i;for(var h=this.getNextFoldLine(a),d=h?h.start.row:1/0;a<e;){if(d<=a){if(e<(s=h.end.row+1))break;d=(h=this.getNextFoldLine(s,h))?h.start.row:1/0}else s=a+1;r+=this.getRowLength(a),a=s,o&&(this.$docRowCache.push(a),this.$screenRowCache.push(r))}var u=\"\";if(n=h&&d<=a?(u=this.getFoldDisplayLine(h,e,t),h.start.row):(u=this.getLine(e).substring(0,t),e),t=0,this.$useWrapMode){var f=this.$wrapData[n];if(f){for(var g=0;u.length>=f[g];)r++,g++;u=u.substring(f[g-1]||0,u.length),t=0<g?f.indent:0}}return this.lineWidgets&&this.lineWidgets[a]&&this.lineWidgets[a].rowsAbove&&(r+=this.lineWidgets[a].rowsAbove),{row:r,column:t+this.$getStringScreenWidth(u)[0]}},this.documentToScreenColumn=function(e,t){return this.documentToScreenPosition(e,t).column},this.documentToScreenRow=function(e,t){return this.documentToScreenPosition(e,t).row},this.getScreenLength=function(){var e=0,t=null;if(this.$useWrapMode)for(var n=this.$wrapData.length,r=0,i=0,s=(t=this.$foldData[i++])?t.start.row:1/0;r<n;){var o=this.$wrapData[r];e+=o?o.length+1:1,s<++r&&(r=t.end.row+1,s=(t=this.$foldData[i++])?t.start.row:1/0)}else{e=this.getLength();var a=this.$foldData;for(i=0;i<a.length;i++)e-=(t=a[i]).end.row-t.start.row}return this.lineWidgets&&(e+=this.$getWidgetScreenLength()),e},this.$setFontMetrics=function(e){this.$enableVarChar&&(this.$getStringScreenWidth=function(t,n,r){if(0===n)return[0,0];var i,s;for(n=n||1/0,r=r||0,s=0;s<t.length&&!(n<(r+=\"\\t\"===(i=t.charAt(s))?this.getScreenTabSize(r):e.getCharacterWidth(i)));s++);return[r,s]})},this.destroy=function(){this.bgTokenizer&&(this.bgTokenizer.setDocument(null),this.bgTokenizer=null),this.$stopWorker(),this.removeAllListeners(),this.selection.detach()},this.isFullWidth=s}).call(g.prototype),e(\"./edit_session/folding\").Folding.call(g.prototype),e(\"./edit_session/bracket_match\").BracketMatch.call(g.prototype),o.defineOptions(g.prototype,\"session\",{wrap:{set:function(e){e&&\"off\"!=e?\"free\"==e?e=!0:\"printMargin\"==e?e=-1:\"string\"==typeof e&&(e=parseInt(e,10)||!1):e=!1,this.$wrap!=e&&((this.$wrap=e)?(this.setWrapLimitRange(e=\"number\"==typeof e?e:null,e),this.setUseWrapMode(!0)):this.setUseWrapMode(!1))},get:function(){return this.getUseWrapMode()?-1==this.$wrap?\"printMargin\":this.getWrapLimitRange().min?this.$wrap:\"free\":\"off\"},handlesSet:!0},wrapMethod:{set:function(e){(e=\"auto\"==e?\"text\"!=this.$mode.type:\"text\"!=e)!=this.$wrapAsCode&&(this.$wrapAsCode=e,this.$useWrapMode&&(this.$useWrapMode=!1,this.setUseWrapMode(!0)))},initialValue:\"auto\"},indentedSoftWrap:{set:function(){this.$useWrapMode&&(this.$useWrapMode=!1,this.setUseWrapMode(!0))},initialValue:!0},firstLineNumber:{set:function(){this._signal(\"changeBreakpoint\")},initialValue:1},useWorker:{set:function(e){this.$useWorker=e,this.$stopWorker(),e&&this.$startWorker()},initialValue:!0},useSoftTabs:{initialValue:!0},tabSize:{set:function(e){0<(e=parseInt(e))&&this.$tabSize!==e&&(this.$modified=!0,this.$rowLengthCache=[],this.$tabSize=e,this._signal(\"changeTabSize\"))},initialValue:4,handlesSet:!0},navigateWithinSoftTabs:{initialValue:!1},foldStyle:{set:function(e){this.setFoldStyle(e)},handlesSet:!0},overwrite:{set:function(e){this._signal(\"changeOverwrite\")},initialValue:!1},newLineMode:{set:function(e){this.doc.setNewLineMode(e)},get:function(){return this.doc.getNewLineMode()},handlesSet:!0},mode:{set:function(e){this.setMode(e)},get:function(){return this.$modeId},handlesSet:!0}}),t.EditSession=g})),ace.define(\"ace/search\",[\"require\",\"exports\",\"module\",\"ace/lib/lang\",\"ace/lib/oop\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/lang\"),i=e(\"./lib/oop\"),s=e(\"./range\").Range;(function(){this.set=function(e){return i.mixin(this.$options,e),this},this.getOptions=function(){return r.copyObject(this.$options)},this.setOptions=function(e){this.$options=e},this.find=function(e){var t=this.$options;if(!(e=this.$matchIterator(e,t)))return!1;var n=null;return e.forEach((function(e,r,i,o){return n=new s(e,r,i,o),!(r==o&&t.start&&t.start.start&&0!=t.skipCurrent&&n.isEqual(t.start)&&(n=null,1))})),n},this.findAll=function(e){var t=this.$options;if(!t.needle)return[];this.$assembleRegExp(t);var n=t.range,i=n?e.getLines(n.start.row,n.end.row):e.doc.getAllLines(),o=[],a=t.re;if(t.$isMultiLine){var c,l=a.length,h=i.length-l;e:for(var d=a.offset||0;d<=h;d++){for(var u=0;u<l;u++)if(-1==i[d+u].search(a[u]))continue e;var f=i[d+l-1],g=(g=i[d]).length-g.match(a[0])[0].length;f=f.match(a[l-1])[0].length,c&&c.end.row===d&&c.end.column>g||(o.push(c=new s(d,g,d+l-1,f)),2<l&&(d=d+l-2))}}else for(var p=0;p<i.length;p++){var m=r.getMatchOffsets(i[p],a);for(u=0;u<m.length;u++){var C=m[u];o.push(new s(p,C.offset,p,C.offset+C.length))}}if(n){var b=n.start.column,v=n.start.column;for(p=0,u=o.length-1;p<u&&o[p].start.column<b&&o[p].start.row==n.start.row;)p++;for(;p<u&&o[u].end.column>v&&o[u].end.row==n.end.row;)u--;for(o=o.slice(p,u+1),p=0,u=o.length;p<u;p++)o[p].start.row+=n.start.row,o[p].end.row+=n.start.row}return o},this.replace=function(e,t){var n=this.$options,r=this.$assembleRegExp(n);if(n.$isMultiLine)return t;if(r){var i=r.exec(e);if(!i||i[0].length!=e.length)return null;if(t=e.replace(r,t),n.preserveCase){t=t.split(\"\");for(var s=Math.min(e.length,e.length);s--;){var o=e[s];t[s]=o&&o.toLowerCase()!=o?t[s].toUpperCase():t[s].toLowerCase()}t=t.join(\"\")}return t}},this.$assembleRegExp=function(e,t){if(e.needle instanceof RegExp)return e.re=e.needle;var n,i,s=e.needle;if(!e.needle)return e.re=!1;function o(e){return/\\w/.test(e)||i.regExp?\"\\\\b\":\"\"}e.regExp||(s=r.escapeRegExp(s)),e.wholeWord&&(i=e,s=o((n=s)[0])+n+o(n[n.length-1]));var a=e.caseSensitive?\"gm\":\"gmi\";if(e.$isMultiLine=!t&&/[\\n\\r]/.test(s),e.$isMultiLine)return e.re=this.$assembleMultilineRegExp(s,a);try{var c=new RegExp(s,a)}catch(e){c=!1}return e.re=c},this.$assembleMultilineRegExp=function(e,t){for(var n=e.replace(/\\r\\n|\\r|\\n/g,\"$\\n^\").split(\"\\n\"),r=[],i=0;i<n.length;i++)try{r.push(new RegExp(n[i],t))}catch(e){return!1}return r},this.$matchIterator=function(e,t){var n=this.$assembleRegExp(t);if(!n)return!1;var r=1==t.backwards,i=0!=t.skipCurrent,s=t.range,o=t.start;(o=o||(s?s[r?\"end\":\"start\"]:e.selection.getRange())).start&&(o=o[i!=r?\"end\":\"start\"]);var a,c,l=s?s.start.row:0,h=s?s.end.row:e.getLength()-1;return s=r?function(e){var n=o.row;if(!c(n,o.column,e)){for(n--;l<=n;n--)if(c(n,Number.MAX_VALUE,e))return;if(0!=t.wrap)for(n=h,l=o.row;l<=n;n--)if(c(n,Number.MAX_VALUE,e))return}}:function(e){var n=o.row;if(!c(n,o.column,e)){for(n+=1;n<=h;n++)if(c(n,0,e))return;if(0!=t.wrap)for(n=l,h=o.row;n<=h;n++)if(c(n,0,e))return}},c=t.$isMultiLine?(a=n.length,function(t,i,s){var o=r?t-a+1:t;if(!(o<0)){var c=e.getLine(o),l=c.search(n[0]);if(!(!r&&l<i||-1===l)){for(var h=1;h<a;h++)if(-1==(c=e.getLine(o+h)).search(n[h]))return;if(t=c.match(n[a-1])[0].length,!(r&&i<t))return!!s(o,l,o+a-1,t)||void 0}}}):r?function(t,r,i){var s,o=e.getLine(t),a=[];for(n.lastIndex=0;s=n.exec(o);){var c=s[0].length,l=s.index;if(!c){if(l>=o.length)break;n.lastIndex=l+=1}if(s.index+c>r)break;a.push(s.index,c)}for(var h=a.length-1;0<=h;h-=2){var d=a[h-1];if(i(t,d,t,d+(c=a[h])))return!0}}:function(t,r,i){var s=e.getLine(t);for(n.lastIndex=r;o=n.exec(s);){var o,a=o[0].length;if(i(t,o=o.index,t,o+a))return!0;if(!a&&(n.lastIndex=o+=1,o>=s.length))return!1}},{forEach:s}}}).call((e=function(){this.$options={}}).prototype),t.Search=e})),ace.define(\"ace/keyboard/hash_handler\",[\"require\",\"exports\",\"module\",\"ace/lib/keys\",\"ace/lib/useragent\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/keys\"),i=e(\"../lib/useragent\"),s=r.KEY_MODS;function o(e,t){this.platform=t||(i.isMac?\"mac\":\"win\"),this.commands={},this.commandKeyBinding={},this.addCommands(e),this.$singleCommand=!0}function a(e,t){o.call(this,e,t),this.$singleCommand=!1}a.prototype=o.prototype,(function(){function e(e){return\"object\"==typeof e&&e.bindKey&&e.bindKey.position||(e.isDefault?-100:0)}this.addCommand=function(e){this.commands[e.name]&&this.removeCommand(e),(this.commands[e.name]=e).bindKey&&this._buildKeyHash(e)},this.removeCommand=function(e,t){var n=e&&(\"string\"==typeof e?e:e.name);e=this.commands[n],t||delete this.commands[n];var r,i=this.commandKeyBinding;for(r in i){var s,o=i[r];o==e?delete i[r]:!Array.isArray(o)||-1!=(s=o.indexOf(e))&&(o.splice(s,1),1==o.length&&(i[r]=o[0]))}},this.bindKey=function(e,t,n){if(\"object\"==typeof e&&e&&(null==n&&(n=e.position),e=e[this.platform]),e)return\"function\"==typeof t?this.addCommand({exec:t,bindKey:e,name:t.name||e}):void e.split(\"|\").forEach((function(e){var r,i=\"\";-1!=e.indexOf(\" \")&&(e=(r=e.split(/\\s+/)).pop(),r.forEach((function(e){e=this.parseKeys(e),this._addCommandToBinding(i+=(i?\" \":\"\")+(e=s[e.hashId]+e.key),\"chainKeys\")}),this),i+=\" \"),e=this.parseKeys(e),this._addCommandToBinding(i+(e=s[e.hashId]+e.key),t,n)}),this)},this._addCommandToBinding=function(t,n,r){var i=this.commandKeyBinding;if(n)if(!i[t]||this.$singleCommand)i[t]=n;else{Array.isArray(i[t])?-1!=(o=i[t].indexOf(n))&&i[t].splice(o,1):i[t]=[i[t]],\"number\"!=typeof r&&(r=e(n));for(var s=i[t],o=0;o<s.length&&!(r<e(s[o]));o++);s.splice(o,0,n)}else delete i[t]},this.addCommands=function(e){e&&Object.keys(e).forEach((function(t){var n=e[t];if(n){if(\"string\"==typeof n)return this.bindKey(n,t);\"function\"==typeof n&&(n={exec:n}),\"object\"==typeof n&&(n.name||(n.name=t),this.addCommand(n))}}),this)},this.removeCommands=function(e){Object.keys(e).forEach((function(t){this.removeCommand(e[t])}),this)},this.bindKeys=function(e){Object.keys(e).forEach((function(t){this.bindKey(t,e[t])}),this)},this._buildKeyHash=function(e){this.bindKey(e.bindKey,e)},this.parseKeys=function(e){var t=e.toLowerCase().split(/[\\-\\+]([\\-\\+])?/).filter((function(e){return e})),n=t.pop(),i=r[n];if(r.FUNCTION_KEYS[i])n=r.FUNCTION_KEYS[i].toLowerCase();else{if(!t.length)return{key:n,hashId:-1};if(1==t.length&&\"shift\"==t[0])return{key:n.toUpperCase(),hashId:-1}}for(var s=0,o=t.length;o--;){var a=r.KEY_MODS[t[o]];if(null==a)return\"undefined\"!=typeof console&&console.error(\"invalid modifier \"+t[o]+\" in \"+e),!1;s|=a}return{key:n,hashId:s}},this.findKeyCommand=function(e,t){return this.commandKeyBinding[t=s[e]+t]},this.handleKeyboard=function(e,t,n,r){if(!(r<0)){var i=s[t]+n,o=this.commandKeyBinding[i];return e.$keyChain&&(e.$keyChain+=\" \"+i,o=this.commandKeyBinding[e.$keyChain]||o),!o||\"chainKeys\"!=o&&\"chainKeys\"!=o[o.length-1]?(e.$keyChain&&(t&&4!=t||1!=n.length?(-1==t||0<r)&&(e.$keyChain=\"\"):e.$keyChain=e.$keyChain.slice(0,-i.length-1)),{command:o}):(e.$keyChain=e.$keyChain||i,{command:\"null\"})}},this.getStatusText=function(e,t){return t.$keyChain||\"\"}}).call(o.prototype),t.HashHandler=o,t.MultiHashHandler=a})),ace.define(\"ace/commands/command_manager\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/keyboard/hash_handler\",\"ace/lib/event_emitter\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/oop\"),i=e(\"../keyboard/hash_handler\").MultiHashHandler,s=e(\"../lib/event_emitter\").EventEmitter;r.inherits(e=function(e,t){i.call(this,t,e),this.byName=this.commands,this.setDefaultHandler(\"exec\",(function(e){return e.command.exec(e.editor,e.args||{})}))},i),(function(){r.implement(this,s),this.exec=function(e,t,n){if(Array.isArray(e)){for(var r=e.length;r--;)if(this.exec(e[r],t,n))return!0;return!1}if(\"string\"==typeof e&&(e=this.commands[e]),!e)return!1;if(t&&t.$readOnly&&!e.readOnly)return!1;if(0!=this.$checkCommandState&&e.isAvailable&&!e.isAvailable(t))return!1;var i={editor:t,command:e,args:n};return i.returnValue=this._emit(\"exec\",i),this._signal(\"afterExec\",i),!1!==i.returnValue},this.toggleRecording=function(e){if(!this.$inReplay)return e&&e._emit(\"changeStatus\"),this.recording?(this.macro.pop(),this.off(\"exec\",this.$addCommandToMacro),this.macro.length||(this.macro=this.oldMacro),this.recording=!1):(this.$addCommandToMacro||(this.$addCommandToMacro=(function(e){this.macro.push([e.command,e.args])}).bind(this)),this.oldMacro=this.macro,this.macro=[],this.on(\"exec\",this.$addCommandToMacro),this.recording=!0)},this.replay=function(e){if(!this.$inReplay&&this.macro){if(this.recording)return this.toggleRecording(e);try{this.$inReplay=!0,this.macro.forEach((function(t){\"string\"==typeof t?this.exec(t,e):this.exec(t[0],e,t[1])}),this)}finally{this.$inReplay=!1}}},this.trimMacro=function(e){return e.map((function(e){return\"string\"!=typeof e[0]&&(e[0]=e[0].name),e[1]||(e=e[0]),e}))}}).call(e.prototype),t.CommandManager=e})),ace.define(\"ace/commands/default_commands\",[\"require\",\"exports\",\"module\",\"ace/lib/lang\",\"ace/config\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/lang\"),i=e(\"../config\"),s=e(\"../range\").Range;function o(e,t){return{win:e,mac:t}}t.commands=[{name:\"showSettingsMenu\",bindKey:o(\"Ctrl-,\",\"Command-,\"),exec:function(e){i.loadModule(\"ace/ext/settings_menu\",(function(t){t.init(e),e.showSettingsMenu()}))},readOnly:!0},{name:\"goToNextError\",bindKey:o(\"Alt-E\",\"F4\"),exec:function(e){i.loadModule(\"./ext/error_marker\",(function(t){t.showErrorMarker(e,1)}))},scrollIntoView:\"animate\",readOnly:!0},{name:\"goToPreviousError\",bindKey:o(\"Alt-Shift-E\",\"Shift-F4\"),exec:function(e){i.loadModule(\"./ext/error_marker\",(function(t){t.showErrorMarker(e,-1)}))},scrollIntoView:\"animate\",readOnly:!0},{name:\"selectall\",description:\"Select all\",bindKey:o(\"Ctrl-A\",\"Command-A\"),exec:function(e){e.selectAll()},readOnly:!0},{name:\"centerselection\",description:\"Center selection\",bindKey:o(null,\"Ctrl-L\"),exec:function(e){e.centerSelection()},readOnly:!0},{name:\"gotoline\",description:\"Go to line...\",bindKey:o(\"Ctrl-L\",\"Command-L\"),exec:function(e,t){\"number\"!=typeof t||isNaN(t)||e.gotoLine(t),e.prompt({$type:\"gotoLine\"})},readOnly:!0},{name:\"fold\",bindKey:o(\"Alt-L|Ctrl-F1\",\"Command-Alt-L|Command-F1\"),exec:function(e){e.session.toggleFold(!1)},multiSelectAction:\"forEach\",scrollIntoView:\"center\",readOnly:!0},{name:\"unfold\",bindKey:o(\"Alt-Shift-L|Ctrl-Shift-F1\",\"Command-Alt-Shift-L|Command-Shift-F1\"),exec:function(e){e.session.toggleFold(!0)},multiSelectAction:\"forEach\",scrollIntoView:\"center\",readOnly:!0},{name:\"toggleFoldWidget\",bindKey:o(\"F2\",\"F2\"),exec:function(e){e.session.toggleFoldWidget()},multiSelectAction:\"forEach\",scrollIntoView:\"center\",readOnly:!0},{name:\"toggleParentFoldWidget\",bindKey:o(\"Alt-F2\",\"Alt-F2\"),exec:function(e){e.session.toggleFoldWidget(!0)},multiSelectAction:\"forEach\",scrollIntoView:\"center\",readOnly:!0},{name:\"foldall\",description:\"Fold all\",bindKey:o(null,\"Ctrl-Command-Option-0\"),exec:function(e){e.session.foldAll()},scrollIntoView:\"center\",readOnly:!0},{name:\"foldAllComments\",description:\"Fold all comments\",bindKey:o(null,\"Ctrl-Command-Option-0\"),exec:function(e){e.session.foldAllComments()},scrollIntoView:\"center\",readOnly:!0},{name:\"foldOther\",description:\"Fold other\",bindKey:o(\"Alt-0\",\"Command-Option-0\"),exec:function(e){e.session.foldAll(),e.session.unfold(e.selection.getAllRanges())},scrollIntoView:\"center\",readOnly:!0},{name:\"unfoldall\",description:\"Unfold all\",bindKey:o(\"Alt-Shift-0\",\"Command-Option-Shift-0\"),exec:function(e){e.session.unfold()},scrollIntoView:\"center\",readOnly:!0},{name:\"findnext\",description:\"Find next\",bindKey:o(\"Ctrl-K\",\"Command-G\"),exec:function(e){e.findNext()},multiSelectAction:\"forEach\",scrollIntoView:\"center\",readOnly:!0},{name:\"findprevious\",description:\"Find previous\",bindKey:o(\"Ctrl-Shift-K\",\"Command-Shift-G\"),exec:function(e){e.findPrevious()},multiSelectAction:\"forEach\",scrollIntoView:\"center\",readOnly:!0},{name:\"selectOrFindNext\",description:\"Select or find next\",bindKey:o(\"Alt-K\",\"Ctrl-G\"),exec:function(e){e.selection.isEmpty()?e.selection.selectWord():e.findNext()},readOnly:!0},{name:\"selectOrFindPrevious\",description:\"Select or find previous\",bindKey:o(\"Alt-Shift-K\",\"Ctrl-Shift-G\"),exec:function(e){e.selection.isEmpty()?e.selection.selectWord():e.findPrevious()},readOnly:!0},{name:\"find\",description:\"Find\",bindKey:o(\"Ctrl-F\",\"Command-F\"),exec:function(e){i.loadModule(\"ace/ext/searchbox\",(function(t){t.Search(e)}))},readOnly:!0},{name:\"overwrite\",description:\"Overwrite\",bindKey:\"Insert\",exec:function(e){e.toggleOverwrite()},readOnly:!0},{name:\"selecttostart\",description:\"Select to start\",bindKey:o(\"Ctrl-Shift-Home\",\"Command-Shift-Home|Command-Shift-Up\"),exec:function(e){e.getSelection().selectFileStart()},multiSelectAction:\"forEach\",readOnly:!0,scrollIntoView:\"animate\",aceCommandGroup:\"fileJump\"},{name:\"gotostart\",description:\"Go to start\",bindKey:o(\"Ctrl-Home\",\"Command-Home|Command-Up\"),exec:function(e){e.navigateFileStart()},multiSelectAction:\"forEach\",readOnly:!0,scrollIntoView:\"animate\",aceCommandGroup:\"fileJump\"},{name:\"selectup\",description:\"Select up\",bindKey:o(\"Shift-Up\",\"Shift-Up|Ctrl-Shift-P\"),exec:function(e){e.getSelection().selectUp()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"golineup\",description:\"Go line up\",bindKey:o(\"Up\",\"Up|Ctrl-P\"),exec:function(e,t){e.navigateUp(t.times)},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selecttoend\",description:\"Select to end\",bindKey:o(\"Ctrl-Shift-End\",\"Command-Shift-End|Command-Shift-Down\"),exec:function(e){e.getSelection().selectFileEnd()},multiSelectAction:\"forEach\",readOnly:!0,scrollIntoView:\"animate\",aceCommandGroup:\"fileJump\"},{name:\"gotoend\",description:\"Go to end\",bindKey:o(\"Ctrl-End\",\"Command-End|Command-Down\"),exec:function(e){e.navigateFileEnd()},multiSelectAction:\"forEach\",readOnly:!0,scrollIntoView:\"animate\",aceCommandGroup:\"fileJump\"},{name:\"selectdown\",description:\"Select down\",bindKey:o(\"Shift-Down\",\"Shift-Down|Ctrl-Shift-N\"),exec:function(e){e.getSelection().selectDown()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"golinedown\",description:\"Go line down\",bindKey:o(\"Down\",\"Down|Ctrl-N\"),exec:function(e,t){e.navigateDown(t.times)},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectwordleft\",description:\"Select word left\",bindKey:o(\"Ctrl-Shift-Left\",\"Option-Shift-Left\"),exec:function(e){e.getSelection().selectWordLeft()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"gotowordleft\",description:\"Go to word left\",bindKey:o(\"Ctrl-Left\",\"Option-Left\"),exec:function(e){e.navigateWordLeft()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selecttolinestart\",description:\"Select to line start\",bindKey:o(\"Alt-Shift-Left\",\"Command-Shift-Left|Ctrl-Shift-A\"),exec:function(e){e.getSelection().selectLineStart()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"gotolinestart\",description:\"Go to line start\",bindKey:o(\"Alt-Left|Home\",\"Command-Left|Home|Ctrl-A\"),exec:function(e){e.navigateLineStart()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectleft\",description:\"Select left\",bindKey:o(\"Shift-Left\",\"Shift-Left|Ctrl-Shift-B\"),exec:function(e){e.getSelection().selectLeft()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"gotoleft\",description:\"Go to left\",bindKey:o(\"Left\",\"Left|Ctrl-B\"),exec:function(e,t){e.navigateLeft(t.times)},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectwordright\",description:\"Select word right\",bindKey:o(\"Ctrl-Shift-Right\",\"Option-Shift-Right\"),exec:function(e){e.getSelection().selectWordRight()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"gotowordright\",description:\"Go to word right\",bindKey:o(\"Ctrl-Right\",\"Option-Right\"),exec:function(e){e.navigateWordRight()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selecttolineend\",description:\"Select to line end\",bindKey:o(\"Alt-Shift-Right\",\"Command-Shift-Right|Shift-End|Ctrl-Shift-E\"),exec:function(e){e.getSelection().selectLineEnd()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"gotolineend\",description:\"Go to line end\",bindKey:o(\"Alt-Right|End\",\"Command-Right|End|Ctrl-E\"),exec:function(e){e.navigateLineEnd()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectright\",description:\"Select right\",bindKey:o(\"Shift-Right\",\"Shift-Right\"),exec:function(e){e.getSelection().selectRight()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"gotoright\",description:\"Go to right\",bindKey:o(\"Right\",\"Right|Ctrl-F\"),exec:function(e,t){e.navigateRight(t.times)},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectpagedown\",description:\"Select page down\",bindKey:\"Shift-PageDown\",exec:function(e){e.selectPageDown()},readOnly:!0},{name:\"pagedown\",description:\"Page down\",bindKey:o(null,\"Option-PageDown\"),exec:function(e){e.scrollPageDown()},readOnly:!0},{name:\"gotopagedown\",description:\"Go to page down\",bindKey:o(\"PageDown\",\"PageDown|Ctrl-V\"),exec:function(e){e.gotoPageDown()},readOnly:!0},{name:\"selectpageup\",description:\"Select page up\",bindKey:\"Shift-PageUp\",exec:function(e){e.selectPageUp()},readOnly:!0},{name:\"pageup\",description:\"Page up\",bindKey:o(null,\"Option-PageUp\"),exec:function(e){e.scrollPageUp()},readOnly:!0},{name:\"gotopageup\",description:\"Go to page up\",bindKey:\"PageUp\",exec:function(e){e.gotoPageUp()},readOnly:!0},{name:\"scrollup\",description:\"Scroll up\",bindKey:o(\"Ctrl-Up\",null),exec:function(e){e.renderer.scrollBy(0,-2*e.renderer.layerConfig.lineHeight)},readOnly:!0},{name:\"scrolldown\",description:\"Scroll down\",bindKey:o(\"Ctrl-Down\",null),exec:function(e){e.renderer.scrollBy(0,2*e.renderer.layerConfig.lineHeight)},readOnly:!0},{name:\"selectlinestart\",description:\"Select line start\",bindKey:\"Shift-Home\",exec:function(e){e.getSelection().selectLineStart()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectlineend\",description:\"Select line end\",bindKey:\"Shift-End\",exec:function(e){e.getSelection().selectLineEnd()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"togglerecording\",description:\"Toggle recording\",bindKey:o(\"Ctrl-Alt-E\",\"Command-Option-E\"),exec:function(e){e.commands.toggleRecording(e)},readOnly:!0},{name:\"replaymacro\",description:\"Replay macro\",bindKey:o(\"Ctrl-Shift-E\",\"Command-Shift-E\"),exec:function(e){e.commands.replay(e)},readOnly:!0},{name:\"jumptomatching\",description:\"Jump to matching\",bindKey:o(\"Ctrl-\\\\|Ctrl-P\",\"Command-\\\\\"),exec:function(e){e.jumpToMatching()},multiSelectAction:\"forEach\",scrollIntoView:\"animate\",readOnly:!0},{name:\"selecttomatching\",description:\"Select to matching\",bindKey:o(\"Ctrl-Shift-\\\\|Ctrl-Shift-P\",\"Command-Shift-\\\\\"),exec:function(e){e.jumpToMatching(!0)},multiSelectAction:\"forEach\",scrollIntoView:\"animate\",readOnly:!0},{name:\"expandToMatching\",description:\"Expand to matching\",bindKey:o(\"Ctrl-Shift-M\",\"Ctrl-Shift-M\"),exec:function(e){e.jumpToMatching(!0,!0)},multiSelectAction:\"forEach\",scrollIntoView:\"animate\",readOnly:!0},{name:\"passKeysToBrowser\",description:\"Pass keys to browser\",bindKey:o(null,null),exec:function(){},passEvent:!0,readOnly:!0},{name:\"copy\",description:\"Copy\",exec:function(e){},readOnly:!0},{name:\"cut\",description:\"Cut\",exec:function(e){var t=e.$copyWithEmptySelection&&e.selection.isEmpty()?e.selection.getLineRange():e.selection.getRange();e._emit(\"cut\",t),t.isEmpty()||e.session.remove(t),e.clearSelection()},scrollIntoView:\"cursor\",multiSelectAction:\"forEach\"},{name:\"paste\",description:\"Paste\",exec:function(e,t){e.$handlePaste(t)},scrollIntoView:\"cursor\"},{name:\"removeline\",description:\"Remove line\",bindKey:o(\"Ctrl-D\",\"Command-D\"),exec:function(e){e.removeLines()},scrollIntoView:\"cursor\",multiSelectAction:\"forEachLine\"},{name:\"duplicateSelection\",description:\"Duplicate selection\",bindKey:o(\"Ctrl-Shift-D\",\"Command-Shift-D\"),exec:function(e){e.duplicateSelection()},scrollIntoView:\"cursor\",multiSelectAction:\"forEach\"},{name:\"sortlines\",description:\"Sort lines\",bindKey:o(\"Ctrl-Alt-S\",\"Command-Alt-S\"),exec:function(e){e.sortLines()},scrollIntoView:\"selection\",multiSelectAction:\"forEachLine\"},{name:\"togglecomment\",description:\"Toggle comment\",bindKey:o(\"Ctrl-/\",\"Command-/\"),exec:function(e){e.toggleCommentLines()},multiSelectAction:\"forEachLine\",scrollIntoView:\"selectionPart\"},{name:\"toggleBlockComment\",description:\"Toggle block comment\",bindKey:o(\"Ctrl-Shift-/\",\"Command-Shift-/\"),exec:function(e){e.toggleBlockComment()},multiSelectAction:\"forEach\",scrollIntoView:\"selectionPart\"},{name:\"modifyNumberUp\",description:\"Modify number up\",bindKey:o(\"Ctrl-Shift-Up\",\"Alt-Shift-Up\"),exec:function(e){e.modifyNumber(1)},scrollIntoView:\"cursor\",multiSelectAction:\"forEach\"},{name:\"modifyNumberDown\",description:\"Modify number down\",bindKey:o(\"Ctrl-Shift-Down\",\"Alt-Shift-Down\"),exec:function(e){e.modifyNumber(-1)},scrollIntoView:\"cursor\",multiSelectAction:\"forEach\"},{name:\"replace\",description:\"Replace\",bindKey:o(\"Ctrl-H\",\"Command-Option-F\"),exec:function(e){i.loadModule(\"ace/ext/searchbox\",(function(t){t.Search(e,!0)}))}},{name:\"undo\",description:\"Undo\",bindKey:o(\"Ctrl-Z\",\"Command-Z\"),exec:function(e){e.undo()}},{name:\"redo\",description:\"Redo\",bindKey:o(\"Ctrl-Shift-Z|Ctrl-Y\",\"Command-Shift-Z|Command-Y\"),exec:function(e){e.redo()}},{name:\"copylinesup\",description:\"Copy lines up\",bindKey:o(\"Alt-Shift-Up\",\"Command-Option-Up\"),exec:function(e){e.copyLinesUp()},scrollIntoView:\"cursor\"},{name:\"movelinesup\",description:\"Move lines up\",bindKey:o(\"Alt-Up\",\"Option-Up\"),exec:function(e){e.moveLinesUp()},scrollIntoView:\"cursor\"},{name:\"copylinesdown\",description:\"Copy lines down\",bindKey:o(\"Alt-Shift-Down\",\"Command-Option-Down\"),exec:function(e){e.copyLinesDown()},scrollIntoView:\"cursor\"},{name:\"movelinesdown\",description:\"Move lines down\",bindKey:o(\"Alt-Down\",\"Option-Down\"),exec:function(e){e.moveLinesDown()},scrollIntoView:\"cursor\"},{name:\"del\",description:\"Delete\",bindKey:o(\"Delete\",\"Delete|Ctrl-D|Shift-Delete\"),exec:function(e){e.remove(\"right\")},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"backspace\",description:\"Backspace\",bindKey:o(\"Shift-Backspace|Backspace\",\"Ctrl-Backspace|Shift-Backspace|Backspace|Ctrl-H\"),exec:function(e){e.remove(\"left\")},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"cut_or_delete\",description:\"Cut or delete\",bindKey:o(\"Shift-Delete\",null),exec:function(e){if(!e.selection.isEmpty())return!1;e.remove(\"left\")},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"removetolinestart\",description:\"Remove to line start\",bindKey:o(\"Alt-Backspace\",\"Command-Backspace\"),exec:function(e){e.removeToLineStart()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"removetolineend\",description:\"Remove to line end\",bindKey:o(\"Alt-Delete\",\"Ctrl-K|Command-Delete\"),exec:function(e){e.removeToLineEnd()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"removetolinestarthard\",description:\"Remove to line start hard\",bindKey:o(\"Ctrl-Shift-Backspace\",null),exec:function(e){var t=e.selection.getRange();t.start.column=0,e.session.remove(t)},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"removetolineendhard\",description:\"Remove to line end hard\",bindKey:o(\"Ctrl-Shift-Delete\",null),exec:function(e){var t=e.selection.getRange();t.end.column=Number.MAX_VALUE,e.session.remove(t)},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"removewordleft\",description:\"Remove word left\",bindKey:o(\"Ctrl-Backspace\",\"Alt-Backspace|Ctrl-Alt-Backspace\"),exec:function(e){e.removeWordLeft()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"removewordright\",description:\"Remove word right\",bindKey:o(\"Ctrl-Delete\",\"Alt-Delete\"),exec:function(e){e.removeWordRight()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"outdent\",description:\"Outdent\",bindKey:o(\"Shift-Tab\",\"Shift-Tab\"),exec:function(e){e.blockOutdent()},multiSelectAction:\"forEach\",scrollIntoView:\"selectionPart\"},{name:\"indent\",description:\"Indent\",bindKey:o(\"Tab\",\"Tab\"),exec:function(e){e.indent()},multiSelectAction:\"forEach\",scrollIntoView:\"selectionPart\"},{name:\"blockoutdent\",description:\"Block outdent\",bindKey:o(\"Ctrl-[\",\"Ctrl-[\"),exec:function(e){e.blockOutdent()},multiSelectAction:\"forEachLine\",scrollIntoView:\"selectionPart\"},{name:\"blockindent\",description:\"Block indent\",bindKey:o(\"Ctrl-]\",\"Ctrl-]\"),exec:function(e){e.blockIndent()},multiSelectAction:\"forEachLine\",scrollIntoView:\"selectionPart\"},{name:\"insertstring\",description:\"Insert string\",exec:function(e,t){e.insert(t)},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"inserttext\",description:\"Insert text\",exec:function(e,t){e.insert(r.stringRepeat(t.text||\"\",t.times||1))},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"splitline\",description:\"Split line\",bindKey:o(null,\"Ctrl-O\"),exec:function(e){e.splitLine()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"transposeletters\",description:\"Transpose letters\",bindKey:o(\"Alt-Shift-X\",\"Ctrl-T\"),exec:function(e){e.transposeLetters()},multiSelectAction:function(e){e.transposeSelections(1)},scrollIntoView:\"cursor\"},{name:\"touppercase\",description:\"To uppercase\",bindKey:o(\"Ctrl-U\",\"Ctrl-U\"),exec:function(e){e.toUpperCase()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"tolowercase\",description:\"To lowercase\",bindKey:o(\"Ctrl-Shift-U\",\"Ctrl-Shift-U\"),exec:function(e){e.toLowerCase()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"autoindent\",description:\"Auto Indent\",bindKey:o(null,null),exec:function(e){e.autoIndent()},multiSelectAction:\"forEachLine\",scrollIntoView:\"animate\"},{name:\"expandtoline\",description:\"Expand to line\",bindKey:o(\"Ctrl-Shift-L\",\"Command-Shift-L\"),exec:function(e){var t=e.selection.getRange();t.start.column=t.end.column=0,t.end.row++,e.selection.setRange(t,!1)},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\",readOnly:!0},{name:\"joinlines\",description:\"Join lines\",bindKey:o(null,null),exec:function(e){for(var t=(o=e.selection.isBackwards())?e.selection.getSelectionLead():e.selection.getSelectionAnchor(),n=o?e.selection.getSelectionAnchor():e.selection.getSelectionLead(),i=e.session.doc.getLine(t.row).length,o=e.session.doc.getTextRange(e.selection.getRange()).replace(/\\n\\s*/,\" \").length,a=e.session.doc.getLine(t.row),c=t.row+1;c<=n.row+1;c++){var l=r.stringTrimLeft(r.stringTrimRight(e.session.doc.getLine(c)));0!==l.length&&(l=\" \"+l),a+=l}n.row+1<e.session.doc.getLength()-1&&(a+=e.session.doc.getNewLineCharacter()),e.clearSelection(),e.session.doc.replace(new s(t.row,0,n.row+2,0),a),0<o?(e.selection.moveCursorTo(t.row,t.column),e.selection.selectTo(t.row,t.column+o)):(i=e.session.doc.getLine(t.row).length>i?i+1:i,e.selection.moveCursorTo(t.row,i))},multiSelectAction:\"forEach\",readOnly:!0},{name:\"invertSelection\",description:\"Invert selection\",bindKey:o(null,null),exec:function(e){var t=e.session.doc.getLength()-1,n=e.session.doc.getLine(t).length,r=e.selection.rangeList.ranges,i=[];r.length<1&&(r=[e.selection.getRange()]);for(var o=0;o<r.length;o++)o==r.length-1&&(r[o].end.row===t&&r[o].end.column===n||i.push(new s(r[o].end.row,r[o].end.column,t,n))),0===o?0===r[o].start.row&&0===r[o].start.column||i.push(new s(0,0,r[o].start.row,r[o].start.column)):i.push(new s(r[o-1].end.row,r[o-1].end.column,r[o].start.row,r[o].start.column));for(e.exitMultiSelectMode(),e.clearSelection(),o=0;o<i.length;o++)e.selection.addRange(i[o],!1)},readOnly:!0,scrollIntoView:\"none\"},{name:\"addLineAfter\",exec:function(e){e.selection.clearSelection(),e.navigateLineEnd(),e.insert(\"\\n\")},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"addLineBefore\",exec:function(e){e.selection.clearSelection();var t=e.getCursorPosition();e.selection.moveTo(t.row-1,Number.MAX_VALUE),e.insert(\"\\n\"),0===t.row&&e.navigateUp()},multiSelectAction:\"forEach\",scrollIntoView:\"cursor\"},{name:\"openCommandPallete\",description:\"Open command pallete\",bindKey:o(\"F1\",\"F1\"),exec:function(e){e.prompt({$type:\"commands\"})},readOnly:!0},{name:\"modeSelect\",description:\"Change language mode...\",bindKey:o(null,null),exec:function(e){e.prompt({$type:\"modes\"})},readOnly:!0}];for(var a=1;a<9;a++)t.commands.push({name:\"foldToLevel\"+a,description:\"Fold To Level \"+a,level:a,exec:function(e){e.session.foldToLevel(this.level)},scrollIntoView:\"center\",readOnly:!0})})),ace.define(\"ace/editor\",[\"require\",\"exports\",\"module\",\"ace/lib/fixoldbrowsers\",\"ace/lib/oop\",\"ace/lib/dom\",\"ace/lib/lang\",\"ace/lib/useragent\",\"ace/keyboard/textinput\",\"ace/mouse/mouse_handler\",\"ace/mouse/fold_handler\",\"ace/keyboard/keybinding\",\"ace/edit_session\",\"ace/search\",\"ace/range\",\"ace/lib/event_emitter\",\"ace/commands/command_manager\",\"ace/commands/default_commands\",\"ace/config\",\"ace/token_iterator\",\"ace/clipboard\"],(function(e,t,n){\"use strict\";e(\"./lib/fixoldbrowsers\");var r=e(\"./lib/oop\"),i=e(\"./lib/dom\"),s=e(\"./lib/lang\"),o=e(\"./lib/useragent\"),a=e(\"./keyboard/textinput\").TextInput,c=e(\"./mouse/mouse_handler\").MouseHandler,l=e(\"./mouse/fold_handler\").FoldHandler,h=e(\"./keyboard/keybinding\").KeyBinding,d=e(\"./edit_session\").EditSession,u=e(\"./search\").Search,f=e(\"./range\").Range,g=e(\"./lib/event_emitter\").EventEmitter,p=e(\"./commands/command_manager\").CommandManager,m=e(\"./commands/default_commands\").commands,C=e(\"./config\"),b=e(\"./token_iterator\").TokenIterator,v=e(\"./clipboard\"),I=function(e,t,n){this.$toDestroy=[];var r=e.getContainerElement();this.container=r,this.renderer=e,this.id=\"editor\"+ ++I.$uid,this.commands=new p(o.isMac?\"mac\":\"win\",m),\"object\"==typeof document&&(this.textInput=new a(e.getTextAreaContainer(),this),this.renderer.textarea=this.textInput.getElement(),this.$mouseHandler=new c(this),new l(this)),this.keyBinding=new h(this),this.$search=(new u).set({wrap:!0}),this.$historyTracker=this.$historyTracker.bind(this),this.commands.on(\"exec\",this.$historyTracker),this.$initOperationListeners(),this._$emitInputEvent=s.delayedCall((function(){this._signal(\"input\",{}),this.session&&this.session.bgTokenizer&&this.session.bgTokenizer.scheduleStart()}).bind(this)),this.on(\"change\",(function(e,t){t._$emitInputEvent.schedule(31)})),this.setSession(t||n&&n.session||new d(\"\")),C.resetOptions(this),n&&this.setOptions(n),C._signal(\"editor\",this)};I.$uid=0,(function(){r.implement(this,g),this.$initOperationListeners=function(){this.commands.on(\"exec\",this.startOperation.bind(this),!0),this.commands.on(\"afterExec\",this.endOperation.bind(this),!0),this.$opResetTimer=s.delayedCall(this.endOperation.bind(this,!0)),this.on(\"change\",(function(){this.curOp||(this.startOperation(),this.curOp.selectionBefore=this.$lastSel),this.curOp.docChanged=!0}).bind(this),!0),this.on(\"changeSelection\",(function(){this.curOp||(this.startOperation(),this.curOp.selectionBefore=this.$lastSel),this.curOp.selectionChanged=!0}).bind(this),!0)},this.curOp=null,this.prevOp={},this.startOperation=function(e){if(this.curOp){if(!e||this.curOp.command)return;this.prevOp=this.curOp}e||(this.previousCommand=null,e={}),this.$opResetTimer.schedule(),this.curOp=this.session.curOp={command:e.command||{},args:e.args,scrollTop:this.renderer.scrollTop},this.curOp.selectionBefore=this.selection.toJSON()},this.endOperation=function(e){if(this.curOp&&this.session){if(e&&!1===e.returnValue||!this.session)return this.curOp=null;if((1!=e||!this.curOp.command||\"mouse\"!=this.curOp.command.name)&&(this._signal(\"beforeEndOperation\"),this.curOp)){var t=(e=this.curOp.command)&&e.scrollIntoView;if(t){switch(t){case\"center-animate\":t=\"animate\";case\"center\":this.renderer.scrollCursorIntoView(null,.5);break;case\"animate\":case\"cursor\":this.renderer.scrollCursorIntoView();break;case\"selectionPart\":var n=this.selection.getRange(),r=this.renderer.layerConfig;(n.start.row>=r.lastRow||n.end.row<=r.firstRow)&&this.renderer.scrollSelectionIntoView(this.selection.anchor,this.selection.lead)}\"animate\"==t&&this.renderer.animateScrolling(this.curOp.scrollTop)}e=this.selection.toJSON(),this.curOp.selectionAfter=e,this.$lastSel=this.selection.toJSON(),this.session.getUndoManager().addSelection(e),this.prevOp=this.curOp,this.curOp=null}}},this.$mergeableCommands=[\"backspace\",\"del\",\"insertstring\"],this.$historyTracker=function(e){var t,n,r,i;this.$mergeUndoDeltas&&(n=this.$mergeableCommands,r=(t=this.prevOp).command&&e.command.name==t.command.name,\"insertstring\"==e.command.name?(i=e.args,void 0===this.mergeNextCommand&&(this.mergeNextCommand=!0),r=r&&this.mergeNextCommand&&(!/\\s/.test(i)||/\\s/.test(t.args)),this.mergeNextCommand=!0):r=r&&-1!==n.indexOf(e.command.name),\"always\"!=this.$mergeUndoDeltas&&2e3<Date.now()-this.sequenceStartTime&&(r=!1),r?this.session.mergeUndoDeltas=!0:-1!==n.indexOf(e.command.name)&&(this.sequenceStartTime=Date.now()))},this.setKeyboardHandler=function(e,t){var n;e&&\"string\"==typeof e&&\"ace\"!=e?(this.$keybindingId=e,n=this,C.loadModule([\"keybinding\",e],(function(r){n.$keybindingId==e&&n.keyBinding.setKeyboardHandler(r&&r.handler),t&&t()}))):(this.$keybindingId=null,this.keyBinding.setKeyboardHandler(e),t&&t())},this.getKeyboardHandler=function(){return this.keyBinding.getKeyboardHandler()},this.setSession=function(e){var t,n;this.session!=e&&(this.curOp&&this.endOperation(),this.curOp={},(t=this.session)&&(this.session.off(\"change\",this.$onDocumentChange),this.session.off(\"changeMode\",this.$onChangeMode),this.session.off(\"tokenizerUpdate\",this.$onTokenizerUpdate),this.session.off(\"changeTabSize\",this.$onChangeTabSize),this.session.off(\"changeWrapLimit\",this.$onChangeWrapLimit),this.session.off(\"changeWrapMode\",this.$onChangeWrapMode),this.session.off(\"changeFold\",this.$onChangeFold),this.session.off(\"changeFrontMarker\",this.$onChangeFrontMarker),this.session.off(\"changeBackMarker\",this.$onChangeBackMarker),this.session.off(\"changeBreakpoint\",this.$onChangeBreakpoint),this.session.off(\"changeAnnotation\",this.$onChangeAnnotation),this.session.off(\"changeOverwrite\",this.$onCursorChange),this.session.off(\"changeScrollTop\",this.$onScrollTopChange),this.session.off(\"changeScrollLeft\",this.$onScrollLeftChange),(n=this.session.getSelection()).off(\"changeCursor\",this.$onCursorChange),n.off(\"changeSelection\",this.$onSelectionChange)),(this.session=e)?(this.$onDocumentChange=this.onDocumentChange.bind(this),e.on(\"change\",this.$onDocumentChange),this.renderer.setSession(e),this.$onChangeMode=this.onChangeMode.bind(this),e.on(\"changeMode\",this.$onChangeMode),this.$onTokenizerUpdate=this.onTokenizerUpdate.bind(this),e.on(\"tokenizerUpdate\",this.$onTokenizerUpdate),this.$onChangeTabSize=this.renderer.onChangeTabSize.bind(this.renderer),e.on(\"changeTabSize\",this.$onChangeTabSize),this.$onChangeWrapLimit=this.onChangeWrapLimit.bind(this),e.on(\"changeWrapLimit\",this.$onChangeWrapLimit),this.$onChangeWrapMode=this.onChangeWrapMode.bind(this),e.on(\"changeWrapMode\",this.$onChangeWrapMode),this.$onChangeFold=this.onChangeFold.bind(this),e.on(\"changeFold\",this.$onChangeFold),this.$onChangeFrontMarker=this.onChangeFrontMarker.bind(this),this.session.on(\"changeFrontMarker\",this.$onChangeFrontMarker),this.$onChangeBackMarker=this.onChangeBackMarker.bind(this),this.session.on(\"changeBackMarker\",this.$onChangeBackMarker),this.$onChangeBreakpoint=this.onChangeBreakpoint.bind(this),this.session.on(\"changeBreakpoint\",this.$onChangeBreakpoint),this.$onChangeAnnotation=this.onChangeAnnotation.bind(this),this.session.on(\"changeAnnotation\",this.$onChangeAnnotation),this.$onCursorChange=this.onCursorChange.bind(this),this.session.on(\"changeOverwrite\",this.$onCursorChange),this.$onScrollTopChange=this.onScrollTopChange.bind(this),this.session.on(\"changeScrollTop\",this.$onScrollTopChange),this.$onScrollLeftChange=this.onScrollLeftChange.bind(this),this.session.on(\"changeScrollLeft\",this.$onScrollLeftChange),this.selection=e.getSelection(),this.selection.on(\"changeCursor\",this.$onCursorChange),this.$onSelectionChange=this.onSelectionChange.bind(this),this.selection.on(\"changeSelection\",this.$onSelectionChange),this.onChangeMode(),this.onCursorChange(),this.onScrollTopChange(),this.onScrollLeftChange(),this.onSelectionChange(),this.onChangeFrontMarker(),this.onChangeBackMarker(),this.onChangeBreakpoint(),this.onChangeAnnotation(),this.session.getUseWrapMode()&&this.renderer.adjustWrapLimit(),this.renderer.updateFull()):(this.selection=null,this.renderer.setSession(e)),this._signal(\"changeSession\",{session:e,oldSession:t}),this.curOp=null,t&&t._signal(\"changeEditor\",{oldEditor:this}),e&&e._signal(\"changeEditor\",{editor:this}),e&&e.bgTokenizer&&e.bgTokenizer.scheduleStart())},this.getSession=function(){return this.session},this.setValue=function(e,t){return this.session.doc.setValue(e),t?1==t?this.navigateFileEnd():-1==t&&this.navigateFileStart():this.selectAll(),e},this.getValue=function(){return this.session.getValue()},this.getSelection=function(){return this.selection},this.resize=function(e){this.renderer.onResize(e)},this.setTheme=function(e,t){this.renderer.setTheme(e,t)},this.getTheme=function(){return this.renderer.getTheme()},this.setStyle=function(e){this.renderer.setStyle(e)},this.unsetStyle=function(e){this.renderer.unsetStyle(e)},this.getFontSize=function(){return this.getOption(\"fontSize\")||i.computedStyle(this.container).fontSize},this.setFontSize=function(e){this.setOption(\"fontSize\",e)},this.$highlightBrackets=function(){var e;this.$highlightPending||((e=this).$highlightPending=!0,setTimeout((function(){e.$highlightPending=!1;var t,n,r=e.session;r&&r.bgTokenizer&&(r.$bracketHighlight&&(r.$bracketHighlight.markerIds.forEach((function(e){r.removeMarker(e)})),r.$bracketHighlight=null),!(t=r.getMatchingBracketRanges(e.getCursorPosition()))&&r.$mode.getMatching&&(t=r.$mode.getMatching(e.session)),t&&(n=\"ace_bracket\",Array.isArray(t)?1==t.length&&(n=\"ace_error_bracket\"):t=[t],2==t.length&&(0==f.comparePoints(t[0].end,t[1].start)?t=[f.fromPoints(t[0].start,t[1].end)]:0==f.comparePoints(t[0].start,t[1].end)&&(t=[f.fromPoints(t[1].start,t[0].end)])),r.$bracketHighlight={ranges:t,markerIds:t.map((function(e){return r.addMarker(e,n,\"text\")}))}))}),50))},this.$highlightTags=function(){var e;this.$highlightTagPending||((e=this).$highlightTagPending=!0,setTimeout((function(){e.$highlightTagPending=!1;var t=e.session;if(t&&t.bgTokenizer){var n=e.getCursorPosition(),r=new b(e.session,n.row,n.column),i=r.getCurrentToken();if(!i||!/\\b(?:tag-open|tag-name)/.test(i.type))return t.removeMarker(t.$tagHighlight),void(t.$tagHighlight=null);if(-1===i.type.indexOf(\"tag-open\")||(i=r.stepForward())){var s=i.value,o=i.value,a=0,c=r.stepBackward();if(\"<\"===c.value)for(;c=i,(i=r.stepForward())&&(-1!==i.type.indexOf(\"tag-name\")?s===(o=i.value)&&(\"<\"===c.value?a++:\"</\"===c.value&&a--):s===o&&\"/>\"===i.value&&a--),i&&0<=a;);else{do{if(i=c,c=r.stepBackward(),i)if(-1!==i.type.indexOf(\"tag-name\"))s===i.value&&(\"<\"===c.value?a++:\"</\"===c.value&&a--);else if(\"/>\"===i.value){for(var l=0,h=c;h;){if(-1!==h.type.indexOf(\"tag-name\")&&h.value===s){a--;break}if(\"<\"===h.value)break;h=r.stepBackward(),l++}for(var d=0;d<l;d++)r.stepForward()}}while(c&&a<=0);r.stepForward()}if(!i)return t.removeMarker(t.$tagHighlight),void(t.$tagHighlight=null);var u=r.getCurrentTokenRow();n=r.getCurrentTokenColumn(),u=new f(u,n,u,n+i.value.length),n=t.$backMarkers[t.$tagHighlight],t.$tagHighlight&&null!=n&&0!==u.compareRange(n.range)&&(t.removeMarker(t.$tagHighlight),t.$tagHighlight=null),t.$tagHighlight||(t.$tagHighlight=t.addMarker(u,\"ace_bracket\",\"text\"))}}}),50))},this.focus=function(){var e=this;setTimeout((function(){e.isFocused()||e.textInput.focus()})),this.textInput.focus()},this.isFocused=function(){return this.textInput.isFocused()},this.blur=function(){this.textInput.blur()},this.onFocus=function(e){this.$isFocused||(this.$isFocused=!0,this.renderer.showCursor(),this.renderer.visualizeFocus(),this._emit(\"focus\",e))},this.onBlur=function(e){this.$isFocused&&(this.$isFocused=!1,this.renderer.hideCursor(),this.renderer.visualizeBlur(),this._emit(\"blur\",e))},this.$cursorChange=function(){this.renderer.updateCursor(),this.$highlightBrackets(),this.$highlightTags(),this.$updateHighlightActiveLine()},this.onDocumentChange=function(e){this.renderer.updateLines(e.start.row,e.start.row==e.end.row?e.end.row:1/0,this.session.$useWrapMode),this._signal(\"change\",e),this.$cursorChange()},this.onTokenizerUpdate=function(e){this.renderer.updateLines((e=e.data).first,e.last)},this.onScrollTopChange=function(){this.renderer.scrollToY(this.session.getScrollTop())},this.onScrollLeftChange=function(){this.renderer.scrollToX(this.session.getScrollLeft())},this.onCursorChange=function(){this.$cursorChange(),this._signal(\"changeSelection\")},this.$updateHighlightActiveLine=function(){var e,t,n=this.getSession();this.$highlightActiveLine&&(\"line\"==this.$selectionStyle&&this.selection.isMultiLine()||(e=this.getCursorPosition()),this.renderer.theme&&this.renderer.theme.$selectionColorConflict&&!this.selection.isEmpty()&&(e=!1),!this.renderer.$maxLines||1!==this.session.getLength()||1<this.renderer.$minLines||(e=!1)),n.$highlightLineMarker&&!e?(n.removeMarker(n.$highlightLineMarker.id),n.$highlightLineMarker=null):!n.$highlightLineMarker&&e?((t=new f(e.row,e.column,e.row,1/0)).id=n.addMarker(t,\"ace_active-line\",\"screenLine\"),n.$highlightLineMarker=t):e&&(n.$highlightLineMarker.start.row=e.row,n.$highlightLineMarker.end.row=e.row,n.$highlightLineMarker.start.column=e.column,n._signal(\"changeBackMarker\"))},this.onSelectionChange=function(e){var t,n=this.session;n.$selectionMarker&&n.removeMarker(n.$selectionMarker),n.$selectionMarker=null,this.selection.isEmpty()?this.$updateHighlightActiveLine():(t=this.selection.getRange(),r=this.getSelectionStyle(),n.$selectionMarker=n.addMarker(t,\"ace_selection\",r));var r=this.$highlightSelectedWord&&this.$getSelectionHighLightRegexp();this.session.highlight(r),this._signal(\"changeSelection\")},this.$getSelectionHighLightRegexp=function(){var e=this.session;if(!(t=this.getSelectionRange()).isEmpty()&&!t.isMultiLine()){var t,n=t.start.column,r=t.end.column;if(!(5e3<(t=(e=e.getLine(t.start.row)).substring(n,r)).length)&&/[\\w\\d]/.test(t)&&(t=this.$search.$assembleRegExp({wholeWord:!0,caseSensitive:!0,needle:t}),r=e.substring(n-1,r+1),t.test(r)))return t}},this.onChangeFrontMarker=function(){this.renderer.updateFrontMarkers()},this.onChangeBackMarker=function(){this.renderer.updateBackMarkers()},this.onChangeBreakpoint=function(){this.renderer.updateBreakpoints()},this.onChangeAnnotation=function(){this.renderer.setAnnotations(this.session.getAnnotations())},this.onChangeMode=function(e){this.renderer.updateText(),this._emit(\"changeMode\",e)},this.onChangeWrapLimit=function(){this.renderer.updateFull()},this.onChangeWrapMode=function(){this.renderer.onResize(!0)},this.onChangeFold=function(){this.$updateHighlightActiveLine(),this.renderer.updateFull()},this.getSelectedText=function(){return this.session.getTextRange(this.getSelectionRange())},this.getCopyText=function(){var e=this.getSelectedText(),t=this.session.doc.getNewLineCharacter(),n=!1;if(!e&&this.$copyWithEmptySelection){n=!0;for(var r=this.selection.getAllRanges(),i=0;i<r.length;i++){var s=r[i];i&&r[i-1].start.row==s.start.row||(e+=this.session.getLine(s.start.row)+t)}}var o={text:e};return this._signal(\"copy\",o),v.lineMode=n?o.text:\"\",o.text},this.onCopy=function(){this.commands.exec(\"copy\",this)},this.onCut=function(){this.commands.exec(\"cut\",this)},this.onPaste=function(e,t){this.commands.exec(\"paste\",this,t={text:e,event:t})},this.$handlePaste=function(e){\"string\"==typeof e&&(e={text:e}),this._signal(\"paste\",e);var t=e.text,n=(e=t==v.lineMode,this.session);if(!this.inMultiSelectMode||this.inVirtualSelectionMode)e?n.insert({row:this.selection.lead.row,column:0},t):this.insert(t);else if(e)this.selection.rangeList.ranges.forEach((function(e){n.insert({row:e.start.row,column:0},t)}));else{var r=t.split(/\\r\\n|\\r|\\n/),i=this.selection.rangeList.ranges;if(e=!(2!=r.length||r[0]&&r[1]),r.length!=i.length||e)return this.commands.exec(\"insertstring\",this,t);for(var s=i.length;s--;){var o=i[s];o.isEmpty()||n.remove(o),n.insert(o.start,r[s])}}},this.execCommand=function(e,t){return this.commands.exec(e,this,t)},this.insert=function(e,t){var n,r=this.session,i=r.getMode(),s=this.getCursorPosition();!this.getBehavioursEnabled()||t||(n=i.transformAction(r.getState(s.row),\"insertion\",this,r,e))&&(e!==n.text&&(this.inVirtualSelectionMode||(this.session.mergeUndoDeltas=!1,this.mergeNextCommand=!1)),e=n.text),\"\\t\"==e&&(e=this.session.getTabString()),this.selection.isEmpty()?this.session.getOverwrite()&&-1==e.indexOf(\"\\n\")&&((o=new f.fromPoints(s,s)).end.column+=e.length,this.session.remove(o)):(o=this.getSelectionRange(),s=this.session.remove(o),this.clearSelection()),\"\\n\"!=e&&\"\\r\\n\"!=e||(a=r.getLine(s.row),s.column>a.search(/\\S|$/)&&(c=a.substr(s.column).search(/\\S|$/),r.doc.removeInLine(s.row,s.column,s.column+c))),this.clearSelection(),t=s.column;var o=r.getState(s.row),a=r.getLine(s.row),c=i.checkOutdent(o,a,e);r.insert(s,e),n&&n.selection&&this.selection.setSelectionRange(2==n.selection.length?new f(s.row,t+n.selection[0],s.row,t+n.selection[1]):new f(s.row+n.selection[0],n.selection[1],s.row+n.selection[2],n.selection[3])),this.$enableAutoIndent&&(r.getDocument().isNewLine(e)&&(a=i.getNextLineIndent(o,a.slice(0,s.column),r.getTabString()),r.insert({row:s.row+1,column:0},a)),c&&i.autoOutdent(o,r,s.row))},this.autoIndent=function(){var e,t,n,r=this.session,i=r.getMode();n=this.selection.isEmpty()?(t=0,r.doc.getLength()-1):(t=(e=this.getSelectionRange()).start.row,e.end.row);for(var s,o,a=\"\",c=\"\",l=r.getTabString(),h=t;h<=n;h++)0<h&&(a=r.getState(h-1),s=r.getLine(h-1),c=i.getNextLineIndent(a,s,l)),o=r.getLine(h),c!==(o=i.$getIndent(o))&&(0<o.length&&(o=new f(h,0,h,o.length),r.remove(o)),0<c.length&&r.insert({row:h,column:0},c)),i.autoOutdent(a,r,h)},this.onTextInput=function(e,t){if(!t)return this.keyBinding.onTextInput(e);this.startOperation({command:{name:\"insertstring\"}}),t=this.applyComposition.bind(this,e,t),this.selection.rangeCount?this.forEachSelection(t):t(),this.endOperation()},this.applyComposition=function(e,t){var n;(t.extendLeft||t.extendRight)&&((n=this.selection.getRange()).start.column-=t.extendLeft,n.end.column+=t.extendRight,n.start.column<0&&(n.start.row--,n.start.column+=this.session.getLine(n.start.row).length+1),this.selection.setRange(n),e||n.isEmpty()||this.remove()),!e&&this.selection.isEmpty()||this.insert(e,!0),(t.restoreStart||t.restoreEnd)&&((n=this.selection.getRange()).start.column-=t.restoreStart,n.end.column-=t.restoreEnd,this.selection.setRange(n))},this.onCommandKey=function(e,t,n){return this.keyBinding.onCommandKey(e,t,n)},this.setOverwrite=function(e){this.session.setOverwrite(e)},this.getOverwrite=function(){return this.session.getOverwrite()},this.toggleOverwrite=function(){this.session.toggleOverwrite()},this.setScrollSpeed=function(e){this.setOption(\"scrollSpeed\",e)},this.getScrollSpeed=function(){return this.getOption(\"scrollSpeed\")},this.setDragDelay=function(e){this.setOption(\"dragDelay\",e)},this.getDragDelay=function(){return this.getOption(\"dragDelay\")},this.setSelectionStyle=function(e){this.setOption(\"selectionStyle\",e)},this.getSelectionStyle=function(){return this.getOption(\"selectionStyle\")},this.setHighlightActiveLine=function(e){this.setOption(\"highlightActiveLine\",e)},this.getHighlightActiveLine=function(){return this.getOption(\"highlightActiveLine\")},this.setHighlightGutterLine=function(e){this.setOption(\"highlightGutterLine\",e)},this.getHighlightGutterLine=function(){return this.getOption(\"highlightGutterLine\")},this.setHighlightSelectedWord=function(e){this.setOption(\"highlightSelectedWord\",e)},this.getHighlightSelectedWord=function(){return this.$highlightSelectedWord},this.setAnimatedScroll=function(e){this.renderer.setAnimatedScroll(e)},this.getAnimatedScroll=function(){return this.renderer.getAnimatedScroll()},this.setShowInvisibles=function(e){this.renderer.setShowInvisibles(e)},this.getShowInvisibles=function(){return this.renderer.getShowInvisibles()},this.setDisplayIndentGuides=function(e){this.renderer.setDisplayIndentGuides(e)},this.getDisplayIndentGuides=function(){return this.renderer.getDisplayIndentGuides()},this.setShowPrintMargin=function(e){this.renderer.setShowPrintMargin(e)},this.getShowPrintMargin=function(){return this.renderer.getShowPrintMargin()},this.setPrintMarginColumn=function(e){this.renderer.setPrintMarginColumn(e)},this.getPrintMarginColumn=function(){return this.renderer.getPrintMarginColumn()},this.setReadOnly=function(e){this.setOption(\"readOnly\",e)},this.getReadOnly=function(){return this.getOption(\"readOnly\")},this.setBehavioursEnabled=function(e){this.setOption(\"behavioursEnabled\",e)},this.getBehavioursEnabled=function(){return this.getOption(\"behavioursEnabled\")},this.setWrapBehavioursEnabled=function(e){this.setOption(\"wrapBehavioursEnabled\",e)},this.getWrapBehavioursEnabled=function(){return this.getOption(\"wrapBehavioursEnabled\")},this.setShowFoldWidgets=function(e){this.setOption(\"showFoldWidgets\",e)},this.getShowFoldWidgets=function(){return this.getOption(\"showFoldWidgets\")},this.setFadeFoldWidgets=function(e){this.setOption(\"fadeFoldWidgets\",e)},this.getFadeFoldWidgets=function(){return this.getOption(\"fadeFoldWidgets\")},this.remove=function(e){this.selection.isEmpty()&&(\"left\"==e?this.selection.selectLeft():this.selection.selectRight());var t,n,r=this.getSelectionRange();this.getBehavioursEnabled()&&(t=(n=this.session).getState(r.start.row),e=n.getMode().transformAction(t,\"deletion\",this,n,r),0!==r.end.column||\"\\n\"==(t=n.getTextRange(r))[t.length-1]&&(n=n.getLine(r.end.row),/^\\s+$/.test(n)&&(r.end.column=n.length)),e&&(r=e)),this.session.remove(r),this.clearSelection()},this.removeWordRight=function(){this.selection.isEmpty()&&this.selection.selectWordRight(),this.session.remove(this.getSelectionRange()),this.clearSelection()},this.removeWordLeft=function(){this.selection.isEmpty()&&this.selection.selectWordLeft(),this.session.remove(this.getSelectionRange()),this.clearSelection()},this.removeToLineStart=function(){this.selection.isEmpty()&&this.selection.selectLineStart(),this.selection.isEmpty()&&this.selection.selectLeft(),this.session.remove(this.getSelectionRange()),this.clearSelection()},this.removeToLineEnd=function(){this.selection.isEmpty()&&this.selection.selectLineEnd();var e=this.getSelectionRange();e.start.column==e.end.column&&e.start.row==e.end.row&&(e.end.column=0,e.end.row++),this.session.remove(e),this.clearSelection()},this.splitLine=function(){this.selection.isEmpty()||(this.session.remove(this.getSelectionRange()),this.clearSelection());var e=this.getCursorPosition();this.insert(\"\\n\"),this.moveCursorToPosition(e)},this.transposeLetters=function(){var e,t,n,r;!this.selection.isEmpty()||0!==(r=(e=this.getCursorPosition()).column)&&(r=r<(t=this.session.getLine(e.row)).length?(n=t.charAt(r)+t.charAt(r-1),new f(e.row,r-1,e.row,r+1)):(n=t.charAt(r-1)+t.charAt(r-2),new f(e.row,r-2,e.row,r)),this.session.replace(r,n),this.session.selection.moveToPosition(r.end))},this.toLowerCase=function(){var e=this.getSelectionRange();this.selection.isEmpty()&&this.selection.selectWord();var t=this.getSelectionRange(),n=this.session.getTextRange(t);this.session.replace(t,n.toLowerCase()),this.selection.setSelectionRange(e)},this.toUpperCase=function(){var e=this.getSelectionRange();this.selection.isEmpty()&&this.selection.selectWord();var t=this.getSelectionRange(),n=this.session.getTextRange(t);this.session.replace(t,n.toUpperCase()),this.selection.setSelectionRange(e)},this.indent=function(){var e=this.session,t=this.getSelectionRange();if(!(t.start.row<t.end.row)){if(t.start.column<t.end.column){var n=e.getTextRange(t);if(!/^\\s+$/.test(n))return c=this.$getSelectedRows(),void e.indentRows(c.first,c.last,\"\\t\")}var r=e.getLine(t.start.row),i=t.start;if(n=e.getTabSize(),i=e.documentToScreenColumn(i.row,i.column),this.session.getUseSoftTabs())var o=n-i%n,a=s.stringRepeat(\" \",o);else{for(o=i%n;\" \"==r[t.start.column-1]&&o;)t.start.column--,o--;this.selection.setSelectionRange(t),a=\"\\t\"}return this.insert(a)}var c=this.$getSelectedRows();e.indentRows(c.first,c.last,\"\\t\")},this.blockIndent=function(){var e=this.$getSelectedRows();this.session.indentRows(e.first,e.last,\"\\t\")},this.blockOutdent=function(){var e=this.session.getSelection();this.session.outdentRows(e.getRange())},this.sortLines=function(){for(var e=this.$getSelectedRows(),t=this.session,n=[],r=e.first;r<=e.last;r++)n.push(t.getLine(r));n.sort((function(e,t){return e.toLowerCase()<t.toLowerCase()?-1:e.toLowerCase()>t.toLowerCase()?1:0}));var i=new f(0,0,0,0);for(r=e.first;r<=e.last;r++){var s=t.getLine(r);i.start.row=r,i.end.row=r,i.end.column=s.length,t.replace(i,n[r-e.first])}},this.toggleCommentLines=function(){var e=this.session.getState(this.getCursorPosition().row),t=this.$getSelectedRows();this.session.getMode().toggleCommentLines(e,this.session,t.first,t.last)},this.toggleBlockComment=function(){var e=this.getCursorPosition(),t=this.session.getState(e.row),n=this.getSelectionRange();this.session.getMode().toggleBlockComment(t,this.session,n,e)},this.getNumberAt=function(e,t){var n=/[\\-]?[0-9]+(?:\\.[0-9]+)?/g;n.lastIndex=0;for(var r=this.session.getLine(e);n.lastIndex<t;){var i=n.exec(r);if(i.index<=t&&i.index+i[0].length>=t)return{value:i[0],start:i.index,end:i.index+i[0].length}}return null},this.modifyNumber=function(e){var t,n,r=this.selection.getCursor().row,i=this.selection.getCursor().column,s=new f(r,i-1,r,i),o=this.session.getTextRange(s);!isNaN(parseFloat(o))&&isFinite(o)?(t=this.getNumberAt(r,i))&&(n=0<=t.value.indexOf(\".\")?t.start+t.value.indexOf(\".\")+1:t.end,s=t.start+t.value.length-n,o=parseFloat(t.value),o*=Math.pow(10,s),o+=e*=n!==t.end&&i<n?Math.pow(10,t.end-i-1):Math.pow(10,t.end-i),o=(o/=Math.pow(10,s)).toFixed(s),s=new f(r,t.start,r,t.end),this.session.replace(s,o),this.moveCursorTo(r,Math.max(t.start+1,i+o.length-t.value.length))):this.toggleWord()},this.$toggleWordPairs=[[\"first\",\"last\"],[\"true\",\"false\"],[\"yes\",\"no\"],[\"width\",\"height\"],[\"top\",\"bottom\"],[\"right\",\"left\"],[\"on\",\"off\"],[\"x\",\"y\"],[\"get\",\"set\"],[\"max\",\"min\"],[\"horizontal\",\"vertical\"],[\"show\",\"hide\"],[\"add\",\"remove\"],[\"up\",\"down\"],[\"before\",\"after\"],[\"even\",\"odd\"],[\"in\",\"out\"],[\"inside\",\"outside\"],[\"next\",\"previous\"],[\"increase\",\"decrease\"],[\"attach\",\"detach\"],[\"&&\",\"||\"],[\"==\",\"!=\"]],this.toggleWord=function(){var e=this.selection.getCursor().row,t=this.selection.getCursor().column;this.selection.selectWord();var n=this.getSelectedText(),r=this.selection.getWordRange().start.column,i=n.replace(/([a-z]+|[A-Z]+)(?=[A-Z_]|$)/g,\"$1 \").split(/\\s/),o=t-r-1;o<0&&(o=0);var a,c=0,l=this;n.match(/[A-Za-z0-9_]+/)&&i.forEach((function(t,i){a=c+t.length,c<=o&&o<=a&&(n=t,l.selection.clearSelection(),l.moveCursorTo(e,c+r),l.selection.selectTo(e,a+r)),c=a}));for(var h=this.$toggleWordPairs,d=0;d<h.length;d++)for(var u=h[d],f=0;f<=1;f++){var g=+!f,p=n.match(new RegExp(\"^\\\\s?_?(\"+s.escapeRegExp(u[f])+\")\\\\s?$\",\"i\"));p&&n.match(new RegExp(\"([_]|^|\\\\s)(\"+s.escapeRegExp(p[1])+\")($|\\\\s)\",\"g\"))&&(p=n.replace(new RegExp(s.escapeRegExp(u[f]),\"i\"),(function(e){var t=u[g];return e.toUpperCase()==e?t=t.toUpperCase():e.charAt(0).toUpperCase()==e.charAt(0)&&(t=t.substr(0,0)+u[g].charAt(0).toUpperCase()+t.substr(1)),t})),this.insert(p))}},this.removeLines=function(){var e=this.$getSelectedRows();this.session.removeFullLines(e.first,e.last),this.clearSelection()},this.duplicateSelection=function(){var e,t=this.selection,n=this.session,r=t.getRange(),i=t.isBackwards();r.isEmpty()?n.duplicateLines(e=r.start.row,e):(n=n.insert(e=i?r.start:r.end,n.getTextRange(r),!1),r.start=e,r.end=n,t.setSelectionRange(r,i))},this.moveLinesDown=function(){this.$moveLines(1,!1)},this.moveLinesUp=function(){this.$moveLines(-1,!1)},this.moveText=function(e,t,n){return this.session.moveText(e,t,n)},this.copyLinesUp=function(){this.$moveLines(-1,!0)},this.copyLinesDown=function(){this.$moveLines(1,!0)},this.$moveLines=function(e,t){var n=this.selection;if(!n.inMultiSelectMode||this.inVirtualSelectionMode){var r=n.toOrientedRange(),i=this.$getSelectedRows(r),s=this.session.$moveLines(i.first,i.last,t?0:e);t&&-1==e&&(s=0),r.moveBy(s,0),n.fromOrientedRange(r)}else{var o=n.rangeList.ranges;n.rangeList.detach(this.session),this.inVirtualSelectionMode=!0;for(var a=0,c=0,l=o.length,h=0;h<l;h++){var d=h;o[h].moveBy(a,0);for(var u=(i=this.$getSelectedRows(o[h])).first,f=i.last;++h<l;){c&&o[h].moveBy(c,0);var g=this.$getSelectedRows(o[h]);if(t&&g.first!=f)break;if(!t&&g.first>f+1)break;f=g.last}for(h--,a=this.session.$moveLines(u,f,t?0:e),t&&-1==e&&(d=h+1);d<=h;)o[d].moveBy(a,0),d++;t||(a=0),c+=a}n.fromOrientedRange(n.ranges[0]),n.rangeList.attach(this.session),this.inVirtualSelectionMode=!1}},this.$getSelectedRows=function(e){return e=(e||this.getSelectionRange()).collapseRows(),{first:this.session.getRowFoldStart(e.start.row),last:this.session.getRowFoldEnd(e.end.row)}},this.onCompositionStart=function(e){this.renderer.showComposition(e)},this.onCompositionUpdate=function(e){this.renderer.setCompositionText(e)},this.onCompositionEnd=function(){this.renderer.hideComposition()},this.getFirstVisibleRow=function(){return this.renderer.getFirstVisibleRow()},this.getLastVisibleRow=function(){return this.renderer.getLastVisibleRow()},this.isRowVisible=function(e){return e>=this.getFirstVisibleRow()&&e<=this.getLastVisibleRow()},this.isRowFullyVisible=function(e){return e>=this.renderer.getFirstFullyVisibleRow()&&e<=this.renderer.getLastFullyVisibleRow()},this.$getVisibleRowCount=function(){return this.renderer.getScrollBottomRow()-this.renderer.getScrollTopRow()+1},this.$moveByPage=function(e,t){var n=this.renderer,r=this.renderer.layerConfig,i=e*Math.floor(r.height/r.lineHeight);!0===t?this.selection.$moveSelection((function(){this.moveCursorBy(i,0)})):!1===t&&(this.selection.moveCursorBy(i,0),this.selection.clearSelection()),e=n.scrollTop,n.scrollBy(0,i*r.lineHeight),null!=t&&n.scrollCursorIntoView(null,.5),n.animateScrolling(e)},this.selectPageDown=function(){this.$moveByPage(1,!0)},this.selectPageUp=function(){this.$moveByPage(-1,!0)},this.gotoPageDown=function(){this.$moveByPage(1,!1)},this.gotoPageUp=function(){this.$moveByPage(-1,!1)},this.scrollPageDown=function(){this.$moveByPage(1)},this.scrollPageUp=function(){this.$moveByPage(-1)},this.scrollToRow=function(e){this.renderer.scrollToRow(e)},this.scrollToLine=function(e,t,n,r){this.renderer.scrollToLine(e,t,n,r)},this.centerSelection=function(){var e=this.getSelectionRange();e={row:Math.floor(e.start.row+(e.end.row-e.start.row)/2),column:Math.floor(e.start.column+(e.end.column-e.start.column)/2)},this.renderer.alignCursor(e,.5)},this.getCursorPosition=function(){return this.selection.getCursor()},this.getCursorPositionScreen=function(){return this.session.documentToScreenPosition(this.getCursorPosition())},this.getSelectionRange=function(){return this.selection.getRange()},this.selectAll=function(){this.selection.selectAll()},this.clearSelection=function(){this.selection.clearSelection()},this.moveCursorTo=function(e,t){this.selection.moveCursorTo(e,t)},this.moveCursorToPosition=function(e){this.selection.moveCursorToPosition(e)},this.jumpToMatching=function(e,t){var n=this.getCursorPosition(),r=new b(this.session,n.row,n.column),i=r.getCurrentToken(),s=i||r.stepForward();if(s){var o,a,c,l=!1,h={},d=n.column-s.start,u={\")\":\"(\",\"(\":\"(\",\"]\":\"[\",\"[\":\"[\",\"{\":\"{\",\"}\":\"{\"};do{if(s.value.match(/[{}()\\[\\]]/g)){for(;d<s.value.length&&!l;d++)if(u[s.value[d]])switch(a=u[s.value[d]]+\".\"+s.type.replace(\"rparen\",\"lparen\"),isNaN(h[a])&&(h[a]=0),s.value[d]){case\"(\":case\"[\":case\"{\":h[a]++;break;case\")\":case\"]\":case\"}\":h[a]--,-1===h[a]&&(o=\"bracket\",l=!0)}}else-1!==s.type.indexOf(\"tag-name\")&&(isNaN(h[s.value])&&(h[s.value]=0),\"<\"===i.value?h[s.value]++:\"</\"===i.value&&h[s.value]--,-1===h[s.value]&&(o=\"tag\",l=!0))}while(l||(i=s,s=r.stepForward(),d=0),s&&!l);if(o){if(\"bracket\"===o)(g=this.session.getBracketRange(n))||(c=(g=new f(r.getCurrentTokenRow(),r.getCurrentTokenColumn()+d-1,r.getCurrentTokenRow(),r.getCurrentTokenColumn()+d-1)).start,(t||c.row===n.row&&Math.abs(c.column-n.column)<2)&&(g=this.session.getBracketRange(c)));else if(\"tag\"===o){if(!s||-1===s.type.indexOf(\"tag-name\"))return;var g,p=s.value;if(0===(g=new f(r.getCurrentTokenRow(),r.getCurrentTokenColumn()-2,r.getCurrentTokenRow(),r.getCurrentTokenColumn()-2)).compare(n.row,n.column))for(l=!1;s=i,(i=r.stepBackward())&&(-1!==i.type.indexOf(\"tag-close\")&&g.setEnd(r.getCurrentTokenRow(),r.getCurrentTokenColumn()+1),s.value===p&&-1!==s.type.indexOf(\"tag-name\")&&(\"<\"===i.value?h[p]++:\"</\"===i.value&&h[p]--,0===h[p]&&(l=!0))),i&&!l;);s&&s.type.indexOf(\"tag-name\")&&(c=g.start).row==n.row&&Math.abs(c.column-n.column)<2&&(c=g.end)}(c=g&&g.cursor||c)&&(e?g&&t?this.selection.setRange(g):g&&g.isEqual(this.getSelectionRange())?this.clearSelection():this.selection.selectTo(c.row,c.column):this.selection.moveTo(c.row,c.column))}}},this.gotoLine=function(e,t,n){this.selection.clearSelection(),this.session.unfold({row:e-1,column:t||0}),this.exitMultiSelectMode&&this.exitMultiSelectMode(),this.moveCursorTo(e-1,t||0),this.isRowFullyVisible(e-1)||this.scrollToLine(e-1,!0,n)},this.navigateTo=function(e,t){this.selection.moveTo(e,t)},this.navigateUp=function(e){if(this.selection.isMultiLine()&&!this.selection.isBackwards()){var t=this.selection.anchor.getPosition();return this.moveCursorToPosition(t)}this.selection.clearSelection(),this.selection.moveCursorBy(-e||-1,0)},this.navigateDown=function(e){if(this.selection.isMultiLine()&&this.selection.isBackwards()){var t=this.selection.anchor.getPosition();return this.moveCursorToPosition(t)}this.selection.clearSelection(),this.selection.moveCursorBy(e||1,0)},this.navigateLeft=function(e){if(this.selection.isEmpty())for(e=e||1;e--;)this.selection.moveCursorLeft();else{var t=this.getSelectionRange().start;this.moveCursorToPosition(t)}this.clearSelection()},this.navigateRight=function(e){if(this.selection.isEmpty())for(e=e||1;e--;)this.selection.moveCursorRight();else{var t=this.getSelectionRange().end;this.moveCursorToPosition(t)}this.clearSelection()},this.navigateLineStart=function(){this.selection.moveCursorLineStart(),this.clearSelection()},this.navigateLineEnd=function(){this.selection.moveCursorLineEnd(),this.clearSelection()},this.navigateFileEnd=function(){this.selection.moveCursorFileEnd(),this.clearSelection()},this.navigateFileStart=function(){this.selection.moveCursorFileStart(),this.clearSelection()},this.navigateWordRight=function(){this.selection.moveCursorWordRight(),this.clearSelection()},this.navigateWordLeft=function(){this.selection.moveCursorWordLeft(),this.clearSelection()},this.replace=function(e,t){t&&this.$search.set(t);var n=this.$search.find(this.session);return t=0,n&&(this.$tryReplace(n,e)&&(t=1),this.selection.setSelectionRange(n),this.renderer.scrollSelectionIntoView(n.start,n.end)),t},this.replaceAll=function(e,t){t&&this.$search.set(t);var n=this.$search.findAll(this.session),r=0;if(!n.length)return r;t=this.getSelectionRange(),this.selection.moveTo(0,0);for(var i=n.length-1;0<=i;--i)this.$tryReplace(n[i],e)&&r++;return this.selection.setSelectionRange(t),r},this.$tryReplace=function(e,t){var n=this.session.getTextRange(e);return null!==(t=this.$search.replace(n,t))?(e.end=this.session.replace(e,t),e):null},this.getLastSearchOptions=function(){return this.$search.getOptions()},this.find=function(e,t,n){t=t||{},\"string\"==typeof e||e instanceof RegExp?t.needle=e:\"object\"==typeof e&&r.mixin(t,e);var i=this.selection.getRange();return null==t.needle&&((e=this.session.getTextRange(i)||this.$search.$options.needle)||(i=this.session.getWordRange(i.start.row,i.start.column),e=this.session.getTextRange(i)),this.$search.set({needle:e})),this.$search.set(t),t.start||this.$search.set({start:i}),e=this.$search.find(this.session),t.preventScroll?e:e?(this.revealRange(e,n),e):(t.backwards?i.start=i.end:i.end=i.start,void this.selection.setRange(i))},this.findNext=function(e,t){this.find({skipCurrent:!0,backwards:!1},e,t)},this.findPrevious=function(e,t){this.find(e,{skipCurrent:!0,backwards:!0},t)},this.revealRange=function(e,t){this.session.unfold(e),this.selection.setSelectionRange(e);var n=this.renderer.scrollTop;this.renderer.scrollSelectionIntoView(e.start,e.end,.5),!1!==t&&this.renderer.animateScrolling(n)},this.undo=function(){this.session.getUndoManager().undo(this.session),this.renderer.scrollCursorIntoView(null,.5)},this.redo=function(){this.session.getUndoManager().redo(this.session),this.renderer.scrollCursorIntoView(null,.5)},this.destroy=function(){this.$toDestroy&&(this.$toDestroy.forEach((function(e){e.destroy()})),this.$toDestroy=null),this.$mouseHandler&&this.$mouseHandler.destroy(),this.renderer.destroy(),this._signal(\"destroy\",this),this.session&&this.session.destroy(),this._$emitInputEvent&&this._$emitInputEvent.cancel(),this.removeAllListeners()},this.setAutoScrollEditorIntoView=function(e){var t,n,r,i,s,o,a;e&&(r=!1,(n=this).$scrollAnchor||(this.$scrollAnchor=document.createElement(\"div\")),(i=this.$scrollAnchor).style.cssText=\"position:absolute\",this.container.insertBefore(i,this.container.firstChild),s=this.on(\"changeSelection\",(function(){r=!0})),o=this.renderer.on(\"beforeRender\",(function(){r&&(t=n.renderer.container.getBoundingClientRect())})),a=this.renderer.on(\"afterRender\",(function(){var e,s,o;r&&t&&(n.isFocused()||n.searchBox&&n.searchBox.isFocused())&&(e=(o=n.renderer).$cursorLayer.$pixelPos,o=e.top-(s=o.layerConfig).offset,null!=(r=0<=e.top&&o+t.top<0||!(e.top<s.height&&e.top+t.top+s.lineHeight>window.innerHeight)&&null)&&(i.style.top=o+\"px\",i.style.left=e.left+\"px\",i.style.height=s.lineHeight+\"px\",i.scrollIntoView(r)),r=t=null)})),this.setAutoScrollEditorIntoView=function(e){e||(delete this.setAutoScrollEditorIntoView,this.off(\"changeSelection\",s),this.renderer.off(\"afterRender\",a),this.renderer.off(\"beforeRender\",o))})},this.$resetCursorStyle=function(){var e=this.$cursorStyle||\"ace\",t=this.renderer.$cursorLayer;t&&(t.setSmoothBlinking(/smooth/.test(e)),t.isBlinking=!this.$readOnly&&\"wide\"!=e,i.setCssClass(t.element,\"ace_slim-cursors\",/slim/.test(e)))},this.prompt=function(e,t,n){var r=this;C.loadModule(\"./ext/prompt\",(function(i){i.prompt(r,e,t,n)}))}}).call(I.prototype),C.defineOptions(I.prototype,\"editor\",{selectionStyle:{set:function(e){this.onSelectionChange(),this._signal(\"changeSelectionStyle\",{data:e})},initialValue:\"line\"},highlightActiveLine:{set:function(){this.$updateHighlightActiveLine()},initialValue:!0},highlightSelectedWord:{set:function(e){this.$onSelectionChange()},initialValue:!0},readOnly:{set:function(e){this.textInput.setReadOnly(e),this.$resetCursorStyle()},initialValue:!1},copyWithEmptySelection:{set:function(e){this.textInput.setCopyWithEmptySelection(e)},initialValue:!1},cursorStyle:{set:function(e){this.$resetCursorStyle()},values:[\"ace\",\"slim\",\"smooth\",\"wide\"],initialValue:\"ace\"},mergeUndoDeltas:{values:[!1,!0,\"always\"],initialValue:!0},behavioursEnabled:{initialValue:!0},wrapBehavioursEnabled:{initialValue:!0},enableAutoIndent:{initialValue:!0},autoScrollEditorIntoView:{set:function(e){this.setAutoScrollEditorIntoView(e)}},keyboardHandler:{set:function(e){this.setKeyboardHandler(e)},get:function(){return this.$keybindingId},handlesSet:!0},value:{set:function(e){this.session.setValue(e)},get:function(){return this.getValue()},handlesSet:!0,hidden:!0},session:{set:function(e){this.setSession(e)},get:function(){return this.session},handlesSet:!0,hidden:!0},showLineNumbers:{set:function(e){this.renderer.$gutterLayer.setShowLineNumbers(e),this.renderer.$loop.schedule(this.renderer.CHANGE_GUTTER),e&&this.$relativeLineNumbers?A.attach(this):A.detach(this)},initialValue:!0},relativeLineNumbers:{set:function(e){this.$showLineNumbers&&e?A.attach(this):A.detach(this)}},placeholder:{set:function(e){this.$updatePlaceholder||(this.$updatePlaceholder=(function(){var e=this.session&&(this.renderer.$composition||this.getValue());e&&this.renderer.placeholderNode?(this.renderer.off(\"afterRender\",this.$updatePlaceholder),i.removeCssClass(this.container,\"ace_hasPlaceholder\"),this.renderer.placeholderNode.remove(),this.renderer.placeholderNode=null):e||this.renderer.placeholderNode?!e&&this.renderer.placeholderNode&&(this.renderer.placeholderNode.textContent=this.$placeholder||\"\"):(this.renderer.on(\"afterRender\",this.$updatePlaceholder),i.addCssClass(this.container,\"ace_hasPlaceholder\"),(e=i.createElement(\"div\")).className=\"ace_placeholder\",e.textContent=this.$placeholder||\"\",this.renderer.placeholderNode=e,this.renderer.content.appendChild(this.renderer.placeholderNode))}).bind(this),this.on(\"input\",this.$updatePlaceholder)),this.$updatePlaceholder()}},hScrollBarAlwaysVisible:\"renderer\",vScrollBarAlwaysVisible:\"renderer\",highlightGutterLine:\"renderer\",animatedScroll:\"renderer\",showInvisibles:\"renderer\",showPrintMargin:\"renderer\",printMarginColumn:\"renderer\",printMargin:\"renderer\",fadeFoldWidgets:\"renderer\",showFoldWidgets:\"renderer\",displayIndentGuides:\"renderer\",showGutter:\"renderer\",fontSize:\"renderer\",fontFamily:\"renderer\",maxLines:\"renderer\",minLines:\"renderer\",scrollPastEnd:\"renderer\",fixedWidthGutter:\"renderer\",theme:\"renderer\",hasCssTransforms:\"renderer\",maxPixelHeight:\"renderer\",useTextareaForIME:\"renderer\",scrollSpeed:\"$mouseHandler\",dragDelay:\"$mouseHandler\",dragEnabled:\"$mouseHandler\",focusTimeout:\"$mouseHandler\",tooltipFollowsMouse:\"$mouseHandler\",firstLineNumber:\"session\",overwrite:\"session\",newLineMode:\"session\",useWorker:\"session\",useSoftTabs:\"session\",navigateWithinSoftTabs:\"session\",tabSize:\"session\",wrap:\"session\",indentedSoftWrap:\"session\",foldStyle:\"session\",mode:\"session\"});var A={getText:function(e,t){return(Math.abs(e.selection.lead.row-t)||t+1+(t<9?\"\\xb7\":\"\"))+\"\"},getWidth:function(e,t,n){return Math.max(t.toString().length,(n.lastRow+1).toString().length,2)*n.characterWidth},update:function(e,t){t.renderer.$loop.schedule(t.renderer.CHANGE_GUTTER)},attach:function(e){e.renderer.$gutterLayer.$renderer=this,e.on(\"changeSelection\",this.update),this.update(null,e)},detach:function(e){e.renderer.$gutterLayer.$renderer==this&&(e.renderer.$gutterLayer.$renderer=null),e.off(\"changeSelection\",this.update),this.update(null,e)}};t.Editor=I})),ace.define(\"ace/undomanager\",[\"require\",\"exports\",\"module\",\"ace/range\"],(function(e,t,n){\"use strict\";function r(){this.$maxRev=0,this.$fromUndo=!1,this.reset()}(function(){this.addSession=function(e){this.$session=e},this.add=function(e,t,n){this.$fromUndo||e!=this.$lastDelta&&(this.$keepRedoStack||(this.$redoStack.length=0),!1!==t&&this.lastDeltas||(this.lastDeltas=[],this.$undoStack.push(this.lastDeltas),e.id=this.$rev=++this.$maxRev),\"remove\"!=e.action&&\"insert\"!=e.action||(this.$lastDelta=e),this.lastDeltas.push(e))},this.addSelection=function(e,t){this.selections.push({value:e,rev:t||this.$rev})},this.startNewGroup=function(){return this.lastDeltas=null,this.$rev},this.markIgnored=function(e,t){null==t&&(t=this.$rev+1);for(var n=this.$undoStack,r=n.length;r--;){var i=n[r][0];if(i.id<=e)break;i.id<t&&(i.ignore=!0)}this.lastDeltas=null},this.getSelection=function(e,t){for(var n=this.selections,r=n.length;r--;){var i=n[r];if(i.rev<e)return t&&(i=n[r+1]),i}},this.getRevision=function(){return this.$rev},this.getDeltas=function(e,t){null==t&&(t=this.$rev+1);for(var n=this.$undoStack,r=null,i=0,s=n.length;s--;){var o=n[s][0];if(o.id<t&&!r&&(r=s+1),o.id<=e){i=s+1;break}}return n.slice(i,r)},this.getChangedRanges=function(e,t){null==t&&(t=this.$rev+1)},this.getChangedLines=function(e,t){null==t&&(t=this.$rev+1)},this.undo=function(e,t){if(this.lastDeltas=null,function(e,t){for(var n=t;n--;){var r=e[n];if(r&&!r[0].ignore){for(;n<t-1;){var i=function(e,t){for(var n=e.length;n--;)for(var r=0;r<t.length;r++)if(!l(e[n],t[r])){for(;n<e.length;){for(;r--;)l(t[r],e[n]);r=t.length,n++}return[e,t]}return e.selectionBefore=t.selectionBefore=e.selectionAfter=t.selectionAfter=null,[t,e]}(e[n],e[n+1]);e[n]=i[0],e[n+1]=i[1],n++}return!0}}}(r=this.$undoStack,r.length)){e=e||this.$session,this.$redoStackBaseRev!==this.$rev&&this.$redoStack.length&&(this.$redoStack=[]),this.$fromUndo=!0;var n=r.pop(),r=null;return n&&(r=e.undoChanges(n,t),this.$redoStack.push(n),this.$syncRev()),this.$fromUndo=!1,r}},this.redo=function(e,t){this.lastDeltas=null,e=e||this.$session,this.$fromUndo=!0,this.$redoStackBaseRev!=this.$rev&&(r=this.getDeltas(this.$redoStackBaseRev,this.$rev+1),function(e,t){for(var n=0;n<t.length;n++)for(var r=t[n],a=0;a<r.length;a++)!function(e,t){t=function(e){return{start:o(e.start),end:o(e.end),action:e.action,lines:e.lines.slice()}}(t);for(var n=e.length;n--;){for(var r=e[n],a=0;a<r.length;a++){var c=function(e,t){var n,r,o=\"insert\"==e.action,a=\"insert\"==t.action;if(o&&a)s(e.start,t.start)<0?h(t,e,1):h(e,t,1);else if(o&&!a)0<=s(e.start,t.end)?h(e,t,-1):(s(e.start,t.start)<=0||h(e,i.fromPoints(t.start,e.start),-1),h(t,e,1));else if(!o&&a)0<=s(t.start,e.end)?h(t,e,-1):(s(t.start,e.start)<=0||h(t,i.fromPoints(e.start,t.start),-1),h(e,t,1));else if(!o&&!a)if(0<=s(t.start,e.end))h(t,e,-1);else{if(!(s(t.end,e.start)<=0))return s(e.start,t.start)<0&&(e=u(n=e,t.start)),0<s(e.end,t.end)&&(r=u(e,t.end)),d(t.end,e.start,e.end,-1),r&&!n&&(e.lines=r.lines,e.start=r.start,e.end=r.end,r=e),[t,n,r].filter(Boolean);h(e,t,-1)}return[t,e]}(r[a],t);t=c[0],2!=c.length&&(c[2]?(r.splice(a+1,1,c[1],c[2]),a++):c[1]||(r.splice(a,1),a--))}r.length||e.splice(n,1)}}(e,r[a])}(this.$redoStack,r),this.$redoStackBaseRev=this.$rev,this.$redoStack.forEach((function(e){e[0].id=++this.$maxRev}),this));var n=this.$redoStack.pop(),r=null;return n&&(r=e.redoChanges(n,t),this.$undoStack.push(n),this.$syncRev()),this.$fromUndo=!1,r},this.$syncRev=function(){var e;this.$redoStackBaseRev=e=(e=(e=this.$undoStack)[e.length-1])&&e[0].id||0,this.$rev=e},this.reset=function(){this.lastDeltas=null,this.$lastDelta=null,this.$undoStack=[],this.$redoStack=[],this.$rev=0,this.mark=0,this.$redoStackBaseRev=this.$rev,this.selections=[]},this.canUndo=function(){return 0<this.$undoStack.length},this.canRedo=function(){return 0<this.$redoStack.length},this.bookmark=function(e){null==e&&(e=this.$rev),this.mark=e},this.isAtBookmark=function(){return this.$rev===this.mark},this.toJSON=function(){},this.fromJSON=function(){},this.hasUndo=this.canUndo,this.hasRedo=this.canRedo,this.isClean=this.isAtBookmark,this.markClean=this.bookmark,this.$prettyPrint=function(e){return e?a(e):a(this.$undoStack)+\"\\n---\\n\"+a(this.$redoStack)}}).call(r.prototype);var i=e(\"./range\").Range,s=i.comparePoints;function o(e){return{row:e.row,column:e.column}}function a(e){if(e=e||this,Array.isArray(e))return e.map(a).join(\"\\n\");var t=\"\";return e.action?(t=\"insert\"==e.action?\"+\":\"-\",t+=\"[\"+e.lines+\"]\"):e.value&&(t=Array.isArray(e.value)?e.value.map(c).join(\"\\n\"):c(e.value)),e.start&&(t+=c(e)),(e.id||e.rev)&&(t+=\"\\t(\"+(e.id||e.rev)+\")\"),t}function c(e){return e.start.row+\":\"+e.start.column+\"=>\"+e.end.row+\":\"+e.end.column}function l(e,t){var n=\"insert\"==e.action,r=\"insert\"==t.action;if(n&&r)if(0<=s(t.start,e.end))h(t,e,-1);else{if(!(s(t.start,e.start)<=0))return;h(e,t,1)}else if(n&&!r)if(0<=s(t.start,e.end))h(t,e,-1);else{if(!(s(t.end,e.start)<=0))return;h(e,t,-1)}else if(!n&&r)if(0<=s(t.start,e.start))h(t,e,1);else{if(!(s(t.start,e.start)<=0))return;h(e,t,1)}else if(!n&&!r)if(0<=s(t.start,e.start))h(t,e,1);else{if(!(s(t.end,e.start)<=0))return;h(e,t,-1)}return 1}function h(e,t,n){d(e.start,t.start,t.end,n),d(e.end,t.start,t.end,n)}function d(e,t,n,r){e.row==(1==r?t:n).row&&(e.column+=r*(n.column-t.column)),e.row+=r*(n.row-t.row)}function u(e,t){var n=e.lines,r=e.end;e.end=o(t);var i,s=n.splice(i=e.end.row-e.start.row,n.length);return n.push(s[0].substring(0,i=i?t.column:t.column-e.start.column)),s[0]=s[0].substr(i),{start:o(t),end:r,lines:s,action:e.action}}t.UndoManager=r})),ace.define(\"ace/layer/lines\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/dom\");(function(){this.moveContainer=function(e){r.translate(this.element,0,-e.firstRowScreen*e.lineHeight%this.canvasHeight-e.offset*this.$offsetCoefficient)},this.pageChanged=function(e,t){return Math.floor(e.firstRowScreen*e.lineHeight/this.canvasHeight)!==Math.floor(t.firstRowScreen*t.lineHeight/this.canvasHeight)},this.computeLineTop=function(e,t,n){var r=t.firstRowScreen*t.lineHeight;return r=Math.floor(r/this.canvasHeight),n.documentToScreenRow(e,0)*t.lineHeight-r*this.canvasHeight},this.computeLineHeight=function(e,t,n){return t.lineHeight*n.getRowLineCount(e)},this.getLength=function(){return this.cells.length},this.get=function(e){return this.cells[e]},this.shift=function(){this.$cacheCell(this.cells.shift())},this.pop=function(){this.$cacheCell(this.cells.pop())},this.push=function(e){if(Array.isArray(e)){this.cells.push.apply(this.cells,e);for(var t=r.createFragment(this.element),n=0;n<e.length;n++)t.appendChild(e[n].element);this.element.appendChild(t)}else this.cells.push(e),this.element.appendChild(e.element)},this.unshift=function(e){if(Array.isArray(e)){this.cells.unshift.apply(this.cells,e);for(var t=r.createFragment(this.element),n=0;n<e.length;n++)t.appendChild(e[n].element);this.element.firstChild?this.element.insertBefore(t,this.element.firstChild):this.element.appendChild(t)}else this.cells.unshift(e),this.element.insertAdjacentElement(\"afterbegin\",e.element)},this.last=function(){return this.cells.length?this.cells[this.cells.length-1]:null},this.$cacheCell=function(e){e&&(e.element.remove(),this.cellCache.push(e))},this.createCell=function(e,t,n,i){var s,o=this.cellCache.pop();return o||(s=r.createElement(\"div\"),i&&i(s),this.element.appendChild(s),o={element:s,text:\"\",row:e}),o.row=e,o}}).call((e=function(e,t){this.element=e,this.canvasHeight=t||5e5,this.element.style.height=2*this.canvasHeight+\"px\",this.cells=[],this.cellCache=[],this.$offsetCoefficient=0}).prototype),t.Lines=e})),ace.define(\"ace/layer/gutter\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\",\"ace/lib/oop\",\"ace/lib/lang\",\"ace/lib/event_emitter\",\"ace/layer/lines\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/dom\"),i=e(\"../lib/oop\"),s=e(\"../lib/lang\"),o=e(\"../lib/event_emitter\").EventEmitter,a=e(\"./lines\").Lines;function c(e){var t=document.createTextNode(\"\");return e.appendChild(t),t=r.createElement(\"span\"),e.appendChild(t),e}(function(){i.implement(this,o),this.setSession=function(e){this.session&&this.session.off(\"change\",this.$updateAnnotations),(this.session=e)&&e.on(\"change\",this.$updateAnnotations)},this.addGutterDecoration=function(e,t){window.console&&console.warn&&console.warn(\"deprecated use session.addGutterDecoration\"),this.session.addGutterDecoration(e,t)},this.removeGutterDecoration=function(e,t){window.console&&console.warn&&console.warn(\"deprecated use session.removeGutterDecoration\"),this.session.removeGutterDecoration(e,t)},this.setAnnotations=function(e){this.$annotations=[];for(var t=0;t<e.length;t++){var n=e[t],r=(r=this.$annotations[i=n.row])||(this.$annotations[i]={text:[]}),i=(i=n.text)?s.escapeHTML(i):n.html||\"\";-1===r.text.indexOf(i)&&r.text.push(i),\"error\"==(n=n.type)?r.className=\" ace_error\":\"warning\"==n&&\" ace_error\"!=r.className?r.className=\" ace_warning\":\"info\"!=n||r.className||(r.className=\" ace_info\")}},this.$updateAnnotations=function(e){var t,n;this.$annotations.length&&(0==(n=e.end.row-(t=e.start.row))||(\"remove\"==e.action?this.$annotations.splice(t,1+n,null):((n=new Array(1+n)).unshift(t,1),this.$annotations.splice.apply(this.$annotations,n))))},this.update=function(e){this.config=e;var t=this.session,n=e.firstRow,r=Math.min(e.lastRow+e.gutterOffset,t.getLength()-1);this.oldLastRow=r,this.config=e,this.$lines.moveContainer(e),this.$updateCursorRow();for(var i=t.getNextFoldLine(n),s=i?i.start.row:1/0,o=null,a=-1,l=n;;){if(s<l&&(s=(i=t.getNextFoldLine(l=i.end.row+1,i))?i.start.row:1/0),r<l){for(;this.$lines.getLength()>a+1;)this.$lines.pop();break}(o=this.$lines.get(++a))?o.row=l:(o=this.$lines.createCell(l,e,this.session,c),this.$lines.push(o)),this.$renderCell(o,e,i,l),l++}this._signal(\"afterRender\"),this.$updateGutterWidth(e)},this.$updateGutterWidth=function(e){var t=this.session,n=t.gutterRenderer||this.$renderer,r=t.$firstLineNumber,i=this.$lines.last()?this.$lines.last().text:\"\";(this.$fixedWidth||t.$useWrapMode)&&(i=t.getLength()+r-1),i=n?n.getWidth(t,i,e):i.toString().length*e.characterWidth,(i+=(e=this.$padding||this.$computePadding()).left+e.right)===this.gutterWidth||isNaN(i)||(this.gutterWidth=i,this.element.parentNode.style.width=this.element.style.width=Math.ceil(this.gutterWidth)+\"px\",this._signal(\"changeGutterWidth\",i))},this.$updateCursorRow=function(){var e;this.$highlightGutterLine&&(e=this.session.selection.getCursor(),this.$cursorRow!==e.row&&(this.$cursorRow=e.row))},this.updateLineHighlight=function(){if(this.$highlightGutterLine){var e=this.session.selection.cursor.row;if(this.$cursorRow=e,!this.$cursorCell||this.$cursorCell.row!=e){this.$cursorCell&&(this.$cursorCell.element.className=this.$cursorCell.element.className.replace(\"ace_gutter-active-line \",\"\"));var t=this.$lines.cells;this.$cursorCell=null;for(var n=0;n<t.length;n++){var r=t[n];if(r.row>=this.$cursorRow){if(r.row>this.$cursorRow){var i=this.session.getFoldLine(this.$cursorRow);if(!(0<n&&i&&i.start.row==t[n-1].row))break;r=t[n-1]}r.element.className=\"ace_gutter-active-line \"+r.element.className,this.$cursorCell=r;break}}}}},this.scrollLines=function(e){var t=this.config;if(this.config=e,this.$updateCursorRow(),this.$lines.pageChanged(t,e))return this.update(e);this.$lines.moveContainer(e);var n=Math.min(e.lastRow+e.gutterOffset,this.session.getLength()-1),r=this.oldLastRow;if(this.oldLastRow=n,!t||r<e.firstRow)return this.update(e);if(n<t.firstRow)return this.update(e);if(t.firstRow<e.firstRow)for(var i=this.session.getFoldedRowCount(t.firstRow,e.firstRow-1);0<i;i--)this.$lines.shift();if(n<r)for(i=this.session.getFoldedRowCount(n+1,r);0<i;i--)this.$lines.pop();e.firstRow<t.firstRow&&this.$lines.unshift(this.$renderLines(e,e.firstRow,t.firstRow-1)),r<n&&this.$lines.push(this.$renderLines(e,r+1,n)),this.updateLineHighlight(),this._signal(\"afterRender\"),this.$updateGutterWidth(e)},this.$renderLines=function(e,t,n){for(var r=[],i=t,s=this.session.getNextFoldLine(i),o=s?s.start.row:1/0;o<i&&(o=(s=this.session.getNextFoldLine(i=s.end.row+1,s))?s.start.row:1/0),!(n<i);){var a=this.$lines.createCell(i,e,this.session,c);this.$renderCell(a,e,s,i),r.push(a),i++}return r},this.$renderCell=function(e,t,n,i){var s,o=e.element,a=this.session,c=o.childNodes[0],l=o.childNodes[1],h=a.$firstLineNumber,d=a.$breakpoints,u=a.$decorations,f=a.gutterRenderer||this.$renderer,g=this.$showFoldWidgets&&a.foldWidgets,p=n?n.start.row:Number.MAX_VALUE,m=\"ace_gutter-cell \";return this.$highlightGutterLine&&(i==this.$cursorRow||n&&i<this.$cursorRow&&p<=i&&this.$cursorRow<=n.end.row)&&(m+=\"ace_gutter-active-line \",this.$cursorCell!=e&&(this.$cursorCell&&(this.$cursorCell.element.className=this.$cursorCell.element.className.replace(\"ace_gutter-active-line \",\"\")),this.$cursorCell=e)),d[i]&&(m+=d[i]),u[i]&&(m+=u[i]),this.$annotations[i]&&(m+=this.$annotations[i].className),o.className!=m&&(o.className=m),!g||null==(s=g[i])&&(s=g[i]=a.getFoldWidget(i)),s?(m=\"ace_fold-widget ace_\"+s,l.className!=(m+=\"start\"==s&&i==p&&i<n.end.row?\" ace_closed\":\" ace_open\")&&(l.className=m),r.setStyle(l.style,\"height\",m=t.lineHeight+\"px\"),r.setStyle(l.style,\"display\",\"inline-block\")):l&&r.setStyle(l.style,\"display\",\"none\"),(h=(f?f.getText(a,i):i+h).toString())!==c.data&&(c.data=h),r.setStyle(e.element.style,\"height\",this.$lines.computeLineHeight(i,t,a)+\"px\"),r.setStyle(e.element.style,\"top\",this.$lines.computeLineTop(i,t,a)+\"px\"),e.text=h,e},this.$fixedWidth=!1,this.$highlightGutterLine=!0,this.$renderer=\"\",this.setHighlightGutterLine=function(e){this.$highlightGutterLine=e},this.$showLineNumbers=!0,this.$renderer=\"\",this.setShowLineNumbers=function(e){this.$renderer=!e&&{getWidth:function(){return 0},getText:function(){return\"\"}}},this.getShowLineNumbers=function(){return this.$showLineNumbers},this.$showFoldWidgets=!0,this.setShowFoldWidgets=function(e){e?r.addCssClass(this.element,\"ace_folding-enabled\"):r.removeCssClass(this.element,\"ace_folding-enabled\"),this.$showFoldWidgets=e,this.$padding=null},this.getShowFoldWidgets=function(){return this.$showFoldWidgets},this.$computePadding=function(){if(!this.element.firstChild)return{left:0,right:0};var e=r.computedStyle(this.element.firstChild);return this.$padding={},this.$padding.left=(parseInt(e.borderLeftWidth)||0)+(parseInt(e.paddingLeft)||0)+1,this.$padding.right=(parseInt(e.borderRightWidth)||0)+(parseInt(e.paddingRight)||0),this.$padding},this.getRegion=function(e){var t=this.$padding||this.$computePadding(),n=this.element.getBoundingClientRect();return e.x<t.left+n.left?\"markers\":this.$showFoldWidgets&&e.x>n.right-t.right?\"foldWidgets\":void 0}}).call((e=function(e){this.element=r.createElement(\"div\"),this.element.className=\"ace_layer ace_gutter-layer\",e.appendChild(this.element),this.setShowFoldWidgets(this.$showFoldWidgets),this.gutterWidth=0,this.$annotations=[],this.$updateAnnotations=this.$updateAnnotations.bind(this),this.$lines=new a(this.element),this.$lines.$offsetCoefficient=1}).prototype),t.Gutter=e})),ace.define(\"ace/layer/marker\",[\"require\",\"exports\",\"module\",\"ace/range\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";var r=e(\"../range\").Range,i=e(\"../lib/dom\");(function(){this.$padding=0,this.setPadding=function(e){this.$padding=e},this.setSession=function(e){this.session=e},this.setMarkers=function(e){this.markers=e},this.elt=function(e,t){var n=-1!=this.i&&this.element.childNodes[this.i];n?this.i++:(n=document.createElement(\"div\"),this.element.appendChild(n),this.i=-1),n.style.cssText=t,n.className=e},this.update=function(e){if(e){var t,n;for(n in this.config=e,this.i=0,this.markers){var r,i,s=this.markers[n];s.range?(i=s.range.clipRows(e.firstRow,e.lastRow)).isEmpty()||(i=i.toScreenRange(this.session),s.renderer?(r=this.$getTop(i.start.row,e),s.renderer(t,i,this.$padding+i.start.column*e.characterWidth,r,e)):\"fullLine\"==s.type?this.drawFullLineMarker(t,i,s.clazz,e):\"screenLine\"==s.type?this.drawScreenLineMarker(t,i,s.clazz,e):i.isMultiLine()?\"text\"==s.type?this.drawTextMarker(t,i,s.clazz,e):this.drawMultiLineMarker(t,i,s.clazz,e):this.drawSingleLineMarker(t,i,s.clazz+\" ace_start ace_br15\",e)):s.update(t,this,this.session,e)}if(-1!=this.i)for(;this.i<this.element.childElementCount;)this.element.removeChild(this.element.lastChild)}},this.$getTop=function(e,t){return(e-t.firstRowScreen)*t.lineHeight},this.drawTextMarker=function(e,t,n,i,s){for(var o,a=this.session,c=t.start.row,l=t.end.row,h=c,d=0,u=a.getScreenLastRowColumn(h),f=new r(h,t.start.column,h,d);h<=l;h++)f.start.row=f.end.row=h,f.start.column=h==c?t.start.column:a.getRowWrapIndent(h),o=d,d=f.end.column=u,u=h+1<l?a.getScreenLastRowColumn(h+1):h==l?0:t.end.column,this.drawSingleLineMarker(e,f,n+(h==c?\" ace_start\":\"\")+\" ace_br\"+((h==c||h==c+1&&t.start.column?1:0)|(o<d?2:0)|(u<d?4:0)|(h==l?8:0)),i,h==l?0:1,s)},this.drawMultiLineMarker=function(e,t,n,r,i){var s,o=this.$padding,a=r.lineHeight,c=this.$getTop(t.start.row,r),l=o+t.start.column*r.characterWidth;i=i||\"\",this.session.$bidiHandler.isBidiRow(t.start.row)?((s=t.clone()).end.row=s.start.row,s.end.column=this.session.getLine(s.start.row).length,this.drawBidiSingleLineMarker(e,s,n+\" ace_br1 ace_start\",r,null,i)):this.elt(n+\" ace_br1 ace_start\",\"height:\"+a+\"px;right:0;top:\"+c+\"px;left:\"+l+\"px;\"+(i||\"\")),this.session.$bidiHandler.isBidiRow(t.end.row)?((s=t.clone()).start.row=s.end.row,s.start.column=0,this.drawBidiSingleLineMarker(e,s,n+\" ace_br12\",r,null,i)):(c=this.$getTop(t.end.row,r),this.elt(n+\" ace_br12\",\"height:\"+a+\"px;width:\"+(s=t.end.column*r.characterWidth)+\"px;top:\"+c+\"px;left:\"+o+\"px;\"+(i||\"\"))),(a=(t.end.row-t.start.row-1)*r.lineHeight)<=0||(c=this.$getTop(t.start.row+1,r),this.elt(n+((t=(t.start.column?1:0)|(t.end.column?0:8))?\" ace_br\"+t:\"\"),\"height:\"+a+\"px;right:0;top:\"+c+\"px;left:\"+o+\"px;\"+(i||\"\")))},this.drawSingleLineMarker=function(e,t,n,r,i,s){if(this.session.$bidiHandler.isBidiRow(t.start.row))return this.drawBidiSingleLineMarker(e,t,n,r,i,s);var o=r.lineHeight;e=(t.end.column+(i||0)-t.start.column)*r.characterWidth,i=this.$getTop(t.start.row,r),this.elt(n,\"height:\"+o+\"px;width:\"+e+\"px;top:\"+i+\"px;left:\"+(r=this.$padding+t.start.column*r.characterWidth)+\"px;\"+(s||\"\"))},this.drawBidiSingleLineMarker=function(e,t,n,r,i,s){var o=r.lineHeight,a=this.$getTop(t.start.row,r),c=this.$padding;this.session.$bidiHandler.getSelections(t.start.column,t.end.column).forEach((function(e){this.elt(n,\"height:\"+o+\"px;width:\"+e.width+(i||0)+\"px;top:\"+a+\"px;left:\"+(c+e.left)+\"px;\"+(s||\"\"))}),this)},this.drawFullLineMarker=function(e,t,n,r,i){var s=this.$getTop(t.start.row,r),o=r.lineHeight;t.start.row!=t.end.row&&(o+=this.$getTop(t.end.row,r)-s),this.elt(n,\"height:\"+o+\"px;top:\"+s+\"px;left:0;right:0;\"+(i||\"\"))},this.drawScreenLineMarker=function(e,t,n,r,i){t=this.$getTop(t.start.row,r),this.elt(n,\"height:\"+(r=r.lineHeight)+\"px;top:\"+t+\"px;left:0;right:0;\"+(i||\"\"))}}).call((e=function(e){this.element=i.createElement(\"div\"),this.element.className=\"ace_layer ace_marker-layer\",e.appendChild(this.element)}).prototype),t.Marker=e})),ace.define(\"ace/layer/text\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/dom\",\"ace/lib/lang\",\"ace/layer/lines\",\"ace/lib/event_emitter\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/oop\"),i=e(\"../lib/dom\"),s=e(\"../lib/lang\"),o=e(\"./lines\").Lines,a=e(\"../lib/event_emitter\").EventEmitter;(function(){r.implement(this,a),this.EOF_CHAR=\"\\xb6\",this.EOL_CHAR_LF=\"\\xac\",this.EOL_CHAR_CRLF=\"\\xa4\",this.EOL_CHAR=this.EOL_CHAR_LF,this.TAB_CHAR=\"\\u2014\",this.SPACE_CHAR=\"\\xb7\",this.$padding=0,this.MAX_LINE_LENGTH=1e4,this.$updateEolChar=function(){var e=\"\\n\"==(e=this.session.doc).getNewLineCharacter()&&\"windows\"!=e.getNewLineMode()?this.EOL_CHAR_LF:this.EOL_CHAR_CRLF;if(this.EOL_CHAR!=e)return this.EOL_CHAR=e,!0},this.setPadding=function(e){this.$padding=e,this.element.style.margin=\"0 \"+e+\"px\"},this.getLineHeight=function(){return this.$fontMetrics.$characterSize.height||0},this.getCharacterWidth=function(){return this.$fontMetrics.$characterSize.width||0},this.$setFontMetrics=function(e){this.$fontMetrics=e,this.$fontMetrics.on(\"changeCharacterSize\",(function(e){this._signal(\"changeCharacterSize\",e)}).bind(this)),this.$pollSizeChanges()},this.checkForSizeChanges=function(){this.$fontMetrics.checkForSizeChanges()},this.$pollSizeChanges=function(){return this.$pollSizeChangesTimer=this.$fontMetrics.$pollSizeChanges()},this.setSession=function(e){(this.session=e)&&this.$computeTabString()},this.showInvisibles=!1,this.showSpaces=!1,this.showTabs=!1,this.showEOL=!1,this.setShowInvisibles=function(e){return this.showInvisibles!=e&&(\"string\"==typeof(this.showInvisibles=e)?(this.showSpaces=/tab/i.test(e),this.showTabs=/space/i.test(e),this.showEOL=/eol/i.test(e)):this.showSpaces=this.showTabs=this.showEOL=e,this.$computeTabString(),!0)},this.displayIndentGuides=!0,this.setDisplayIndentGuides=function(e){return this.displayIndentGuides!=e&&(this.displayIndentGuides=e,this.$computeTabString(),!0)},this.$tabStrings=[],this.onChangeTabSize=this.$computeTabString=function(){var e=this.session.getTabSize();this.tabSize=e;for(var t,n,r,i,o,a,c=this.$tabStrings=[0],l=1;l<e+1;l++)this.showTabs?((a=this.dom.createElement(\"span\")).className=\"ace_invisible ace_invisible_tab\",a.textContent=s.stringRepeat(this.TAB_CHAR,l),c.push(a)):c.push(this.dom.createTextNode(s.stringRepeat(\" \",l),this.element));this.displayIndentGuides&&(this.$indentGuideRe=/\\s\\S| \\t|\\t |\\s$/,t=\"ace_indent-guide\",n=this.showSpaces?\" ace_invisible ace_invisible_space\":\"\",r=s.stringRepeat(this.showSpaces?this.SPACE_CHAR:\" \",this.tabSize),i=this.showTabs?\" ace_invisible ace_invisible_tab\":\"\",o=this.showTabs?s.stringRepeat(this.TAB_CHAR,this.tabSize):r,(a=this.dom.createElement(\"span\")).className=t+n,a.textContent=r,this.$tabStrings[\" \"]=a,(a=this.dom.createElement(\"span\")).className=t+i,a.textContent=o,this.$tabStrings[\"\\t\"]=a)},this.updateLines=function(e,t,n){if(this.config.lastRow!=e.lastRow||this.config.firstRow!=e.firstRow)return this.update(e);this.config=e;for(var r=Math.max(t,e.firstRow),i=Math.min(n,e.lastRow),s=this.element.childNodes,o=0,a=e.firstRow;a<r;a++){if(c=this.session.getFoldLine(a)){if(c.containsRow(r)){r=c.start.row;break}a=c.end.row}o++}for(var c,l=!1,h=(c=this.session.getNextFoldLine(a=r))?c.start.row:1/0;h<a&&(h=(c=this.session.getNextFoldLine(a=c.end.row+1,c))?c.start.row:1/0),!(i<a);){var d,u=s[o++];u&&(this.dom.removeChildren(u),this.$renderLine(u,a,a==h&&c),l&&(u.style.top=this.$lines.computeLineTop(a,e,this.session)+\"px\"),d=e.lineHeight*this.session.getRowLength(a)+\"px\",u.style.height!=d&&(l=!0,u.style.height=d)),a++}if(l)for(;o<this.$lines.cells.length;){var f=this.$lines.cells[o++];f.element.style.top=this.$lines.computeLineTop(f.row,e,this.session)+\"px\"}},this.scrollLines=function(e){var t=this.config;if(this.config=e,this.$lines.pageChanged(t,e))return this.update(e);this.$lines.moveContainer(e);var n=e.lastRow;if(!t||(t?t.lastRow:-1)<e.firstRow)return this.update(e);if(n<t.firstRow)return this.update(e);if(!t||t.lastRow<e.firstRow)return this.update(e);if(e.lastRow<t.firstRow)return this.update(e);if(t.firstRow<e.firstRow)for(var r=this.session.getFoldedRowCount(t.firstRow,e.firstRow-1);0<r;r--)this.$lines.shift();if(t.lastRow>e.lastRow)for(r=this.session.getFoldedRowCount(e.lastRow+1,t.lastRow);0<r;r--)this.$lines.pop();e.firstRow<t.firstRow&&this.$lines.unshift(this.$renderLinesFragment(e,e.firstRow,t.firstRow-1)),e.lastRow>t.lastRow&&this.$lines.push(this.$renderLinesFragment(e,t.lastRow+1,e.lastRow))},this.$renderLinesFragment=function(e,t,n){for(var r=[],s=t,o=this.session.getNextFoldLine(s),a=o?o.start.row:1/0;a<s&&(a=(o=this.session.getNextFoldLine(s=o.end.row+1,o))?o.start.row:1/0),!(n<s);){var c=this.$lines.createCell(s,e,this.session),l=c.element;this.dom.removeChildren(l),i.setStyle(l.style,\"height\",this.$lines.computeLineHeight(s,e,this.session)+\"px\"),i.setStyle(l.style,\"top\",this.$lines.computeLineTop(s,e,this.session)+\"px\"),this.$renderLine(l,s,s==a&&o),l.className=this.$useLineGroups()?\"ace_line_group\":\"ace_line\",r.push(c),s++}return r},this.update=function(e){this.$lines.moveContainer(e);for(var t=(this.config=e).firstRow,n=e.lastRow,r=this.$lines;r.getLength();)r.pop();r.push(this.$renderLinesFragment(e,t,n))},this.$textToken={text:!0,rparen:!0,lparen:!0},this.$renderToken=function(e,t,n,r){for(var i,o=this,a=/(\\t)|( +)|([\\x00-\\x1f\\x80-\\xa0\\xad\\u1680\\u180E\\u2000-\\u200f\\u2028\\u2029\\u202F\\u205F\\uFEFF\\uFFF9-\\uFFFC]+)|(\\u3000)|([\\u1100-\\u115F\\u11A3-\\u11A7\\u11FA-\\u11FF\\u2329-\\u232A\\u2E80-\\u2E99\\u2E9B-\\u2EF3\\u2F00-\\u2FD5\\u2FF0-\\u2FFB\\u3001-\\u303E\\u3041-\\u3096\\u3099-\\u30FF\\u3105-\\u312D\\u3131-\\u318E\\u3190-\\u31BA\\u31C0-\\u31E3\\u31F0-\\u321E\\u3220-\\u3247\\u3250-\\u32FE\\u3300-\\u4DBF\\u4E00-\\uA48C\\uA490-\\uA4C6\\uA960-\\uA97C\\uAC00-\\uD7A3\\uD7B0-\\uD7C6\\uD7CB-\\uD7FB\\uF900-\\uFAFF\\uFE10-\\uFE19\\uFE30-\\uFE52\\uFE54-\\uFE66\\uFE68-\\uFE6B\\uFF01-\\uFF60\\uFFE0-\\uFFE6]|[\\uD800-\\uDBFF][\\uDC00-\\uDFFF])/g,c=this.dom.createFragment(this.element),l=0;d=a.exec(r);){var h,d,u,f=d[1],g=d[2],p=d[3],m=d[4],C=d[5];!o.showSpaces&&g||(h=l!=d.index?r.slice(l,d.index):\"\",l=d.index+d[0].length,h&&c.appendChild(this.dom.createTextNode(h,this.element)),f?(d=o.session.getScreenTabSize(t+d.index),c.appendChild(o.$tabStrings[d].cloneNode(!0)),t+=d-1):g?o.showSpaces?((u=this.dom.createElement(\"span\")).className=\"ace_invisible ace_invisible_space\",u.textContent=s.stringRepeat(o.SPACE_CHAR,g.length),c.appendChild(u)):c.appendChild(this.com.createTextNode(g,this.element)):p?((u=this.dom.createElement(\"span\")).className=\"ace_invisible ace_invisible_space ace_invalid\",u.textContent=s.stringRepeat(o.SPACE_CHAR,p.length),c.appendChild(u)):m?(t+=1,(u=this.dom.createElement(\"span\")).style.width=2*o.config.characterWidth+\"px\",u.className=o.showSpaces?\"ace_cjk ace_invisible ace_invisible_space\":\"ace_cjk\",u.textContent=o.showSpaces?o.SPACE_CHAR:m,c.appendChild(u)):C&&(t+=1,(u=this.dom.createElement(\"span\")).style.width=2*o.config.characterWidth+\"px\",u.className=\"ace_cjk\",u.textContent=C,c.appendChild(u)))}return c.appendChild(this.dom.createTextNode(l?r.slice(l):r,this.element)),this.$textToken[n.type]?e.appendChild(c):(i=\"ace_\"+n.type.replace(/\\./g,\" ace_\"),u=this.dom.createElement(\"span\"),\"fold\"==n.type&&(u.style.width=n.value.length*this.config.characterWidth+\"px\"),u.className=i,u.appendChild(c),e.appendChild(u)),t+r.length},this.renderIndentGuide=function(e,t,n){var r=t.search(this.$indentGuideRe);if(r<=0||n<=r)return t;if(\" \"==t[0]){for(var i=(r-=r%this.tabSize)/this.tabSize,s=0;s<i;s++)e.appendChild(this.$tabStrings[\" \"].cloneNode(!0));return t.substr(r)}if(\"\\t\"!=t[0])return t;for(s=0;s<r;s++)e.appendChild(this.$tabStrings[\"\\t\"].cloneNode(!0));return t.substr(r)},this.$createLineElement=function(e){var t=this.dom.createElement(\"div\");return t.className=\"ace_line\",t.style.height=this.config.lineHeight+\"px\",t},this.$renderWrappedLine=function(e,t,n){var r=0,i=0,o=n[0],a=0,c=this.$createLineElement();e.appendChild(c);for(var l=0;l<t.length;l++){var h=t[l],d=h.value;if(0==l&&this.displayIndentGuides){if(r=d.length,!(d=this.renderIndentGuide(c,d,o)))continue;r-=d.length}if(r+d.length<o)a=this.$renderToken(c,a,h,d),r+=d.length;else{for(;r+d.length>=o;)a=this.$renderToken(c,a,h,d.substring(0,o-r)),d=d.substring(o-r),r=o,c=this.$createLineElement(),e.appendChild(c),c.appendChild(this.dom.createTextNode(s.stringRepeat(\"\\xa0\",n.indent),this.element)),a=0,o=n[++i]||Number.MAX_VALUE;0!=d.length&&(r+=d.length,a=this.$renderToken(c,a,h,d))}}n[n.length-1]>this.MAX_LINE_LENGTH&&this.$renderOverflowMessage(c,a,null,\"\",!0)},this.$renderSimpleLine=function(e,t){var n=0,r=t[0],i=r.value;this.displayIndentGuides&&(i=this.renderIndentGuide(e,i)),i&&(n=this.$renderToken(e,n,r,i));for(var s=1;s<t.length;s++){if(n+(i=(r=t[s]).value).length>this.MAX_LINE_LENGTH)return this.$renderOverflowMessage(e,n,r,i);n=this.$renderToken(e,n,r,i)}},this.$renderOverflowMessage=function(e,t,n,r,i){n&&this.$renderToken(e,t,n,r.slice(0,this.MAX_LINE_LENGTH-t)),(t=this.dom.createElement(\"span\")).className=\"ace_inline_button ace_keyword ace_toggle_wrap\",t.textContent=i?\"<hide>\":\"<click to see more...>\",e.appendChild(t)},this.$renderLine=function(e,t,n){var r;n||0==n||(n=this.session.getFoldLine(t));var i,s=e;(r=n?this.$getFoldLineTokens(t,n):this.session.getTokens(t)).length?(i=this.session.getRowSplitData(t))&&i.length?(this.$renderWrappedLine(e,r,i),s=e.lastChild):(s=e,this.$useLineGroups()&&(s=this.$createLineElement(),e.appendChild(s)),this.$renderSimpleLine(s,r)):this.$useLineGroups()&&(s=this.$createLineElement(),e.appendChild(s)),this.showEOL&&s&&(n&&(t=n.end.row),(n=this.dom.createElement(\"span\")).className=\"ace_invisible ace_invisible_eol\",n.textContent=t==this.session.getLength()-1?this.EOF_CHAR:this.EOL_CHAR,s.appendChild(n))},this.$getFoldLineTokens=function(e,t){var n=this.session,r=[],i=n.getTokens(e);return t.walk((function(e,t,s,o,a){null!=e?r.push({type:\"fold\",value:e}):(a&&(i=n.getTokens(t)),i.length&&function(e,t,n){for(var i,s=0,o=0;o+e[s].value.length<t;)if(o+=e[s].value.length,++s==e.length)return;for(o!=t&&((i=e[s].value.substring(t-o)).length>n-t&&(i=i.substring(0,n-t)),r.push({type:e[s].type,value:i}),o=t+i.length,s+=1);o<n&&s<e.length;)(i=e[s].value).length+o>n?r.push({type:e[s].type,value:i.substring(0,n-o)}):r.push(e[s]),o+=i.length,s+=1}(i,o,s))}),t.end.row,this.session.getLine(t.end.row).length),r},this.$useLineGroups=function(){return this.session.getUseWrapMode()},this.destroy=function(){}}).call((e=function(e){this.dom=i,this.element=this.dom.createElement(\"div\"),this.element.className=\"ace_layer ace_text-layer\",e.appendChild(this.element),this.$updateEolChar=this.$updateEolChar.bind(this),this.$lines=new o(this.element)}).prototype),t.Text=e})),ace.define(\"ace/layer/cursor\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/dom\");(function(){this.$updateOpacity=function(e){for(var t=this.cursors,n=t.length;n--;)r.setStyle(t[n].style,\"opacity\",e?\"\":\"0\")},this.$startCssAnimation=function(){for(var e=this.cursors,t=e.length;t--;)e[t].style.animationDuration=this.blinkInterval+\"ms\";setTimeout((function(){r.addCssClass(this.element,\"ace_animate-blinking\")}).bind(this))},this.$stopCssAnimation=function(){r.removeCssClass(this.element,\"ace_animate-blinking\")},this.$padding=0,this.setPadding=function(e){this.$padding=e},this.setSession=function(e){this.session=e},this.setBlinking=function(e){e!=this.isBlinking&&(this.isBlinking=e,this.restartTimer())},this.setBlinkInterval=function(e){e!=this.blinkInterval&&(this.blinkInterval=e,this.restartTimer())},this.setSmoothBlinking=function(e){e!=this.smoothBlinking&&(this.smoothBlinking=e,r.setCssClass(this.element,\"ace_smooth-blinking\",e),this.$updateCursors(!0),this.restartTimer())},this.addCursor=function(){var e=r.createElement(\"div\");return e.className=\"ace_cursor\",this.element.appendChild(e),this.cursors.push(e),e},this.removeCursor=function(){if(1<this.cursors.length){var e=this.cursors.pop();return e.parentNode.removeChild(e),e}},this.hideCursor=function(){this.isVisible=!1,r.addCssClass(this.element,\"ace_hidden-cursors\"),this.restartTimer()},this.showCursor=function(){this.isVisible=!0,r.removeCssClass(this.element,\"ace_hidden-cursors\"),this.restartTimer()},this.restartTimer=function(){var e,t=this.$updateCursors;clearInterval(this.intervalId),clearTimeout(this.timeoutId),this.$stopCssAnimation(),this.smoothBlinking&&r.removeCssClass(this.element,\"ace_smooth-blinking\"),t(!0),this.isBlinking&&this.blinkInterval&&this.isVisible?(this.smoothBlinking&&setTimeout((function(){r.addCssClass(this.element,\"ace_smooth-blinking\")}).bind(this)),r.HAS_CSS_ANIMATION?this.$startCssAnimation():(e=(function(){this.timeoutId=setTimeout((function(){t(!1)}),.6*this.blinkInterval)}).bind(this),this.intervalId=setInterval((function(){t(!0),e()}),this.blinkInterval),e())):this.$stopCssAnimation()},this.getPixelPosition=function(e,t){if(!this.config||!this.session)return{left:0,top:0};e=e||this.session.selection.getCursor();var n=this.session.documentToScreenPosition(e);return{left:this.$padding+(this.session.$bidiHandler.isBidiRow(n.row,e.row)?this.session.$bidiHandler.getPosLeft(n.column):n.column*this.config.characterWidth),top:(n.row-(t?this.config.firstRowScreen:0))*this.config.lineHeight}},this.isCursorInView=function(e,t){return 0<=e.top&&e.top<t.maxHeight},this.update=function(e){this.config=e;var t=this.session.$selectionMarkers,n=0,i=0;void 0!==t&&0!==t.length||(t=[{cursor:null}]),n=0;for(var s=t.length;n<s;n++){var o,a,c=this.getPixelPosition(t[n].cursor,!0);(c.top>e.height+e.offset||c.top<0)&&1<n||(a=(o=this.cursors[i++]||this.addCursor()).style,this.drawCursor?this.drawCursor(o,c,e,t[n],this.session):this.isCursorInView(c,e)?(r.setStyle(a,\"display\",\"block\"),r.translate(o,c.left,c.top),r.setStyle(a,\"width\",Math.round(e.characterWidth)+\"px\"),r.setStyle(a,\"height\",e.lineHeight+\"px\")):r.setStyle(a,\"display\",\"none\"))}for(;this.cursors.length>i;)this.removeCursor();var l=this.session.getOverwrite();this.$setOverwrite(l),this.$pixelPos=c,this.restartTimer()},this.drawCursor=null,this.$setOverwrite=function(e){e!=this.overwrite&&((this.overwrite=e)?r.addCssClass(this.element,\"ace_overwrite-cursors\"):r.removeCssClass(this.element,\"ace_overwrite-cursors\"))},this.destroy=function(){clearInterval(this.intervalId),clearTimeout(this.timeoutId)}}).call((e=function(e){this.element=r.createElement(\"div\"),this.element.className=\"ace_layer ace_cursor-layer\",e.appendChild(this.element),this.isVisible=!1,this.isBlinking=!0,this.blinkInterval=1e3,this.smoothBlinking=!1,this.cursors=[],this.cursor=this.addCursor(),r.addCssClass(this.element,\"ace_hidden-cursors\"),this.$updateCursors=this.$updateOpacity.bind(this)}).prototype),t.Cursor=e})),ace.define(\"ace/scrollbar\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/dom\",\"ace/lib/event\",\"ace/lib/event_emitter\"],(function(e,t,n){\"use strict\";function r(e){this.element=s.createElement(\"div\"),this.element.className=\"ace_scrollbar ace_scrollbar\"+this.classSuffix,this.inner=s.createElement(\"div\"),this.inner.className=\"ace_scrollbar-inner\",this.inner.textContent=\"\\xa0\",this.element.appendChild(this.inner),e.appendChild(this.element),this.setVisible(!1),this.skipEvent=!1,o.addListener(this.element,\"scroll\",this.onScroll.bind(this)),o.addListener(this.element,\"mousedown\",o.preventDefault)}var i=e(\"./lib/oop\"),s=e(\"./lib/dom\"),o=e(\"./lib/event\"),a=e(\"./lib/event_emitter\").EventEmitter;function c(e,t){r.call(this,e),this.scrollTop=0,this.scrollHeight=0,t.$scrollbarWidth=this.width=s.scrollbarWidth(e.ownerDocument),this.inner.style.width=this.element.style.width=(this.width||15)+5+\"px\",this.$minWidth=0}(function(){i.implement(this,a),this.setVisible=function(e){this.element.style.display=e?\"\":\"none\",this.isVisible=e,this.coeff=1}}).call(r.prototype),i.inherits(c,r),(function(){this.classSuffix=\"-v\",this.onScroll=function(){var e;this.skipEvent||(this.scrollTop=this.element.scrollTop,1!=this.coeff&&(this.scrollTop=this.scrollTop*(1-(e=this.element.clientHeight/this.scrollHeight))/(this.coeff-e)),this._emit(\"scroll\",{data:this.scrollTop})),this.skipEvent=!1},this.getWidth=function(){return Math.max(this.isVisible?this.width:0,this.$minWidth||0)},this.setHeight=function(e){this.element.style.height=e+\"px\"},this.setInnerHeight=this.setScrollHeight=function(e){32768<(this.scrollHeight=e)?(this.coeff=32768/e,e=32768):1!=this.coeff&&(this.coeff=1),this.inner.style.height=e+\"px\"},this.setScrollTop=function(e){this.scrollTop!=e&&(this.skipEvent=!0,this.scrollTop=e,this.element.scrollTop=e*this.coeff)}}).call(c.prototype),i.inherits(e=function(e,t){r.call(this,e),this.scrollLeft=0,this.height=t.$scrollbarWidth,this.inner.style.height=this.element.style.height=(this.height||15)+5+\"px\"},r),(function(){this.classSuffix=\"-h\",this.onScroll=function(){this.skipEvent||(this.scrollLeft=this.element.scrollLeft,this._emit(\"scroll\",{data:this.scrollLeft})),this.skipEvent=!1},this.getHeight=function(){return this.isVisible?this.height:0},this.setWidth=function(e){this.element.style.width=e+\"px\"},this.setInnerWidth=function(e){this.inner.style.width=e+\"px\"},this.setScrollWidth=function(e){this.inner.style.width=e+\"px\"},this.setScrollLeft=function(e){this.scrollLeft!=e&&(this.skipEvent=!0,this.scrollLeft=this.element.scrollLeft=e)}}).call(e.prototype),t.ScrollBar=c,t.ScrollBarV=c,t.ScrollBarH=e,t.VScrollBar=c,t.HScrollBar=e})),ace.define(\"ace/renderloop\",[\"require\",\"exports\",\"module\",\"ace/lib/event\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/event\");(function(){this.schedule=function(e){this.changes=this.changes|e,this.changes&&!this.pending&&(r.nextFrame(this._flush),this.pending=!0)},this.clear=function(e){var t=this.changes;return this.changes=0,t}}).call((e=function(e,t){this.onRender=e,this.pending=!1,this.changes=0,this.$recursionLimit=2,this.window=t||window;var n=this;this._flush=function(e){n.pending=!1;var t=n.changes;t&&(r.blockIdle(100),n.changes=0,n.onRender(t)),n.changes?n.$recursionLimit--<0||n.schedule():n.$recursionLimit=2}}).prototype),t.RenderLoop=e})),ace.define(\"ace/layer/font_metrics\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/dom\",\"ace/lib/lang\",\"ace/lib/event\",\"ace/lib/useragent\",\"ace/lib/event_emitter\"],(function(e,t,n){var r=e(\"../lib/oop\"),i=e(\"../lib/dom\"),s=e(\"../lib/lang\"),o=e(\"../lib/event\"),a=e(\"../lib/useragent\"),c=e(\"../lib/event_emitter\").EventEmitter,l=\"function\"==typeof ResizeObserver;t=t.FontMetrics=function(e){this.el=i.createElement(\"div\"),this.$setMeasureNodeStyles(this.el.style,!0),this.$main=i.createElement(\"div\"),this.$setMeasureNodeStyles(this.$main.style),this.$measureNode=i.createElement(\"div\"),this.$setMeasureNodeStyles(this.$measureNode.style),this.el.appendChild(this.$main),this.el.appendChild(this.$measureNode),e.appendChild(this.el),this.$measureNode.textContent=s.stringRepeat(\"X\",256),this.$characterSize={width:0,height:0},l?this.$addObserver():this.checkForSizeChanges()},(function(){r.implement(this,c),this.$characterSize={width:0,height:0},this.$setMeasureNodeStyles=function(e,t){e.width=e.height=\"auto\",e.left=e.top=\"0px\",e.visibility=\"hidden\",e.position=\"absolute\",e.whiteSpace=\"pre\",a.isIE<8?e[\"font-family\"]=\"inherit\":e.font=\"inherit\",e.overflow=t?\"hidden\":\"visible\"},this.checkForSizeChanges=function(e){var t;void 0===e&&(e=this.$measureSizes()),!e||this.$characterSize.width===e.width&&this.$characterSize.height===e.height||(this.$measureNode.style.fontWeight=\"bold\",t=this.$measureSizes(),this.$measureNode.style.fontWeight=\"\",this.$characterSize=e,this.charSizes=Object.create(null),this.allowBoldFonts=t&&t.width===e.width&&t.height===e.height,this._emit(\"changeCharacterSize\",{data:e}))},this.$addObserver=function(){var e=this;this.$observer=new window.ResizeObserver((function(t){e.checkForSizeChanges()})),this.$observer.observe(this.$measureNode)},this.$pollSizeChanges=function(){if(this.$pollSizeChangesTimer||this.$observer)return this.$pollSizeChangesTimer;var e=this;return this.$pollSizeChangesTimer=o.onIdle((function t(){e.checkForSizeChanges(),o.onIdle(t,500)}),500)},this.setPolling=function(e){e?this.$pollSizeChanges():this.$pollSizeChangesTimer&&(clearInterval(this.$pollSizeChangesTimer),this.$pollSizeChangesTimer=0)},this.$measureSizes=function(e){return 0===(e={height:(e||this.$measureNode).clientHeight,width:(e||this.$measureNode).clientWidth/256}).width||0===e.height?null:e},this.$measureCharWidth=function(e){return this.$main.textContent=s.stringRepeat(e,256),this.$main.getBoundingClientRect().width/256},this.getCharacterWidth=function(e){var t=this.charSizes[e];return void 0===t&&(t=this.charSizes[e]=this.$measureCharWidth(e)/this.$characterSize.width),t},this.destroy=function(){clearInterval(this.$pollSizeChangesTimer),this.$observer&&this.$observer.disconnect(),this.el&&this.el.parentNode&&this.el.parentNode.removeChild(this.el)},this.$getZoom=function e(t){return t&&t.parentElement?(window.getComputedStyle(t).zoom||1)*e(t.parentElement):1},this.$initTransformMeasureNodes=function(){function e(e,t){return[\"div\",{style:\"position: absolute;top:\"+e+\"px;left:\"+t+\"px;\"}]}this.els=i.buildDom([e(0,0),e(200,0),e(0,200),e(200,200)],this.el)},this.transformCoordinates=function(e,t){function n(e,t,n){var r=e[1]*t[0]-e[0]*t[1];return[(-t[1]*n[0]+t[0]*n[1])/r,(+e[1]*n[0]-e[0]*n[1])/r]}function r(e,t){return[e[0]-t[0],e[1]-t[1]]}function i(e,t){return[e[0]+t[0],e[1]+t[1]]}function s(e,t){return[e*t[0],e*t[1]]}function o(e){return[(e=e.getBoundingClientRect()).left,e.top]}e=e&&s(1/this.$getZoom(this.el),e),this.els||this.$initTransformMeasureNodes();var a=o(this.els[0]),c=o(this.els[1]),l=o(this.els[2]),h=n(r(d=o(this.els[3]),c),r(d,l),r(i(c,l),i(d,a))),d=s(1+h[0],r(c,a));return c=s(1+h[1],r(l,a)),t?(l=h[0]*t[0]/200+h[1]*t[1]/200+1,t=i(s(t[0],d),s(t[1],c)),i(s(1/l/200,t),a)):(a=r(e,a),a=n(r(d,s(h[0],a)),r(c,s(h[1],a)),a),s(200,a))}}).call(t.prototype)})),ace.define(\"ace/virtual_renderer\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/dom\",\"ace/config\",\"ace/layer/gutter\",\"ace/layer/marker\",\"ace/layer/text\",\"ace/layer/cursor\",\"ace/scrollbar\",\"ace/scrollbar\",\"ace/renderloop\",\"ace/layer/font_metrics\",\"ace/lib/event_emitter\",\"ace/lib/useragent\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/oop\"),i=e(\"./lib/dom\"),s=e(\"./config\"),o=e(\"./layer/gutter\").Gutter,a=e(\"./layer/marker\").Marker,c=e(\"./layer/text\").Text,l=e(\"./layer/cursor\").Cursor,h=e(\"./scrollbar\").HScrollBar,d=e(\"./scrollbar\").VScrollBar,u=e(\"./renderloop\").RenderLoop,f=e(\"./layer/font_metrics\").FontMetrics,g=e(\"./lib/event_emitter\").EventEmitter,p='.ace_br1 {border-top-left-radius    : 3px;}.ace_br2 {border-top-right-radius   : 3px;}.ace_br3 {border-top-left-radius    : 3px; border-top-right-radius:    3px;}.ace_br4 {border-bottom-right-radius: 3px;}.ace_br5 {border-top-left-radius    : 3px; border-bottom-right-radius: 3px;}.ace_br6 {border-top-right-radius   : 3px; border-bottom-right-radius: 3px;}.ace_br7 {border-top-left-radius    : 3px; border-top-right-radius:    3px; border-bottom-right-radius: 3px;}.ace_br8 {border-bottom-left-radius : 3px;}.ace_br9 {border-top-left-radius    : 3px; border-bottom-left-radius:  3px;}.ace_br10{border-top-right-radius   : 3px; border-bottom-left-radius:  3px;}.ace_br11{border-top-left-radius    : 3px; border-top-right-radius:    3px; border-bottom-left-radius:  3px;}.ace_br12{border-bottom-right-radius: 3px; border-bottom-left-radius:  3px;}.ace_br13{border-top-left-radius    : 3px; border-bottom-right-radius: 3px; border-bottom-left-radius:  3px;}.ace_br14{border-top-right-radius   : 3px; border-bottom-right-radius: 3px; border-bottom-left-radius:  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url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAAAAAA6mKC9AAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAAJ0Uk5TAAB2k804AAAAPklEQVQY02NgIB68QuO3tiLznjAwpKTgNyDbMegwisCHZUETUZV0ZqOquBpXj2rtnpSJT1AEnnRmL2OgGgAAIKkRQap2htgAAAAASUVORK5CYII=\");background-position: 2px center;}.ace_dark .ace_gutter-cell.ace_info {background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAJFBMVEUAAAChoaGAgIAqKiq+vr6tra1ZWVmUlJSbm5s8PDxubm56enrdgzg3AAAAAXRSTlMAQObYZgAAAClJREFUeNpjYMAPdsMYHegyJZFQBlsUlMFVCWUYKkAZMxZAGdxlDMQBAG+TBP4B6RyJAAAAAElFTkSuQmCC\");}.ace_scrollbar {contain: strict;position: absolute;right: 0;bottom: 0;z-index: 6;}.ace_scrollbar-inner {position: absolute;cursor: text;left: 0;top: 0;}.ace_scrollbar-v{overflow-x: hidden;overflow-y: scroll;top: 0;}.ace_scrollbar-h {overflow-x: scroll;overflow-y: hidden;left: 0;}.ace_print-margin {position: absolute;height: 100%;}.ace_text-input {position: absolute;z-index: 0;width: 0.5em;height: 1em;opacity: 0;background: transparent;-moz-appearance: none;appearance: none;border: none;resize: none;outline: none;overflow: hidden;font: inherit;padding: 0 1px;margin: 0 -1px;contain: strict;-ms-user-select: text;-moz-user-select: text;-webkit-user-select: text;user-select: text;white-space: pre!important;}.ace_text-input.ace_composition {background: transparent;color: inherit;z-index: 1000;opacity: 1;}.ace_composition_placeholder { color: transparent }.ace_composition_marker { border-bottom: 1px solid;position: absolute;border-radius: 0;margin-top: 1px;}[ace_nocontext=true] {transform: none!important;filter: none!important;clip-path: none!important;mask : none!important;contain: none!important;perspective: none!important;mix-blend-mode: initial!important;z-index: auto;}.ace_layer {z-index: 1;position: absolute;overflow: hidden;word-wrap: normal;white-space: pre;height: 100%;width: 100%;box-sizing: border-box;pointer-events: none;}.ace_gutter-layer {position: relative;width: auto;text-align: right;pointer-events: auto;height: 1000000px;contain: style size layout;}.ace_text-layer {font: inherit !important;position: absolute;height: 1000000px;width: 1000000px;contain: style size layout;}.ace_text-layer > .ace_line, .ace_text-layer > .ace_line_group {contain: style size layout;position: absolute;top: 0;left: 0;right: 0;}.ace_hidpi .ace_text-layer,.ace_hidpi .ace_gutter-layer,.ace_hidpi .ace_content,.ace_hidpi .ace_gutter {contain: strict;will-change: transform;}.ace_hidpi .ace_text-layer > .ace_line, .ace_hidpi .ace_text-layer > .ace_line_group {contain: strict;}.ace_cjk {display: inline-block;text-align: center;}.ace_cursor-layer {z-index: 4;}.ace_cursor {z-index: 4;position: absolute;box-sizing: border-box;border-left: 2px solid;transform: translatez(0);}.ace_multiselect .ace_cursor {border-left-width: 1px;}.ace_slim-cursors .ace_cursor {border-left-width: 1px;}.ace_overwrite-cursors .ace_cursor {border-left-width: 0;border-bottom: 1px solid;}.ace_hidden-cursors .ace_cursor {opacity: 0.2;}.ace_hasPlaceholder .ace_hidden-cursors .ace_cursor {opacity: 0;}.ace_smooth-blinking .ace_cursor {transition: opacity 0.18s;}.ace_animate-blinking .ace_cursor {animation-duration: 1000ms;animation-timing-function: step-end;animation-name: blink-ace-animate;animation-iteration-count: infinite;}.ace_animate-blinking.ace_smooth-blinking .ace_cursor {animation-duration: 1000ms;animation-timing-function: ease-in-out;animation-name: blink-ace-animate-smooth;}@keyframes blink-ace-animate {from, to { opacity: 1; }60% { opacity: 0; }}@keyframes blink-ace-animate-smooth {from, to { opacity: 1; }45% { opacity: 1; }60% { opacity: 0; }85% { opacity: 0; }}.ace_marker-layer .ace_step, .ace_marker-layer .ace_stack {position: absolute;z-index: 3;}.ace_marker-layer .ace_selection {position: absolute;z-index: 5;}.ace_marker-layer .ace_bracket {position: absolute;z-index: 6;}.ace_marker-layer .ace_error_bracket {position: absolute;border-bottom: 1px solid #DE5555;border-radius: 0;}.ace_marker-layer .ace_active-line {position: absolute;z-index: 2;}.ace_marker-layer .ace_selected-word {position: absolute;z-index: 4;box-sizing: border-box;}.ace_line .ace_fold {box-sizing: border-box;display: inline-block;height: 11px;margin-top: -2px;vertical-align: middle;background-image:url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABEAAAAJCAYAAADU6McMAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAJpJREFUeNpi/P//PwOlgAXGYGRklAVSokD8GmjwY1wasKljQpYACtpCFeADcHVQfQyMQAwzwAZI3wJKvCLkfKBaMSClBlR7BOQikCFGQEErIH0VqkabiGCAqwUadAzZJRxQr/0gwiXIal8zQQPnNVTgJ1TdawL0T5gBIP1MUJNhBv2HKoQHHjqNrA4WO4zY0glyNKLT2KIfIMAAQsdgGiXvgnYAAAAASUVORK5CYII=\"),url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAA3CAYAAADNNiA5AAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAACJJREFUeNpi+P//fxgTAwPDBxDxD078RSX+YeEyDFMCIMAAI3INmXiwf2YAAAAASUVORK5CYII=\");background-repeat: no-repeat, repeat-x;background-position: center center, top left;color: transparent;border: 1px solid black;border-radius: 2px;cursor: pointer;pointer-events: auto;}.ace_dark .ace_fold {}.ace_fold:hover{background-image:url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABEAAAAJCAYAAADU6McMAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAJpJREFUeNpi/P//PwOlgAXGYGRklAVSokD8GmjwY1wasKljQpYACtpCFeADcHVQfQyMQAwzwAZI3wJKvCLkfKBaMSClBlR7BOQikCFGQEErIH0VqkabiGCAqwUadAzZJRxQr/0gwiXIal8zQQPnNVTgJ1TdawL0T5gBIP1MUJNhBv2HKoQHHjqNrA4WO4zY0glyNKLT2KIfIMAAQsdgGiXvgnYAAAAASUVORK5CYII=\"),url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAA3CAYAAADNNiA5AAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAACBJREFUeNpi+P//fz4TAwPDZxDxD5X4i5fLMEwJgAADAEPVDbjNw87ZAAAAAElFTkSuQmCC\");}.ace_tooltip {background-color: #FFF;background-image: linear-gradient(to bottom, transparent, rgba(0, 0, 0, 0.1));border: 1px solid gray;border-radius: 1px;box-shadow: 0 1px 2px rgba(0, 0, 0, 0.3);color: black;max-width: 100%;padding: 3px 4px;position: fixed;z-index: 999999;box-sizing: border-box;cursor: default;white-space: pre;word-wrap: break-word;line-height: normal;font-style: normal;font-weight: normal;letter-spacing: normal;pointer-events: none;}.ace_folding-enabled > .ace_gutter-cell {padding-right: 13px;}.ace_fold-widget {box-sizing: border-box;margin: 0 -12px 0 1px;display: none;width: 11px;vertical-align: top;background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAANElEQVR42mWKsQ0AMAzC8ixLlrzQjzmBiEjp0A6WwBCSPgKAXoLkqSot7nN3yMwR7pZ32NzpKkVoDBUxKAAAAABJRU5ErkJggg==\");background-repeat: no-repeat;background-position: center;border-radius: 3px;border: 1px solid transparent;cursor: pointer;}.ace_folding-enabled .ace_fold-widget {display: inline-block;   }.ace_fold-widget.ace_end {background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAANElEQVR42m3HwQkAMAhD0YzsRchFKI7sAikeWkrxwScEB0nh5e7KTPWimZki4tYfVbX+MNl4pyZXejUO1QAAAABJRU5ErkJggg==\");}.ace_fold-widget.ace_closed {background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAMAAAAGCAYAAAAG5SQMAAAAOUlEQVR42jXKwQkAMAgDwKwqKD4EwQ26sSOkVWjgIIHAzPiCgaqiqnJHZnKICBERHN194O5b9vbLuAVRL+l0YWnZAAAAAElFTkSuQmCCXA==\");}.ace_fold-widget:hover {border: 1px solid rgba(0, 0, 0, 0.3);background-color: rgba(255, 255, 255, 0.2);box-shadow: 0 1px 1px rgba(255, 255, 255, 0.7);}.ace_fold-widget:active {border: 1px solid rgba(0, 0, 0, 0.4);background-color: rgba(0, 0, 0, 0.05);box-shadow: 0 1px 1px rgba(255, 255, 255, 0.8);}.ace_dark .ace_fold-widget {background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAAHklEQVQIW2P4//8/AzoGEQ7oGCaLLAhWiSwB146BAQCSTPYocqT0AAAAAElFTkSuQmCC\");}.ace_dark .ace_fold-widget.ace_end {background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAAH0lEQVQIW2P4//8/AxQ7wNjIAjDMgC4AxjCVKBirIAAF0kz2rlhxpAAAAABJRU5ErkJggg==\");}.ace_dark .ace_fold-widget.ace_closed {background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAMAAAAFCAYAAACAcVaiAAAAHElEQVQIW2P4//+/AxAzgDADlOOAznHAKgPWAwARji8UIDTfQQAAAABJRU5ErkJggg==\");}.ace_dark .ace_fold-widget:hover {box-shadow: 0 1px 1px rgba(255, 255, 255, 0.2);background-color: rgba(255, 255, 255, 0.1);}.ace_dark .ace_fold-widget:active {box-shadow: 0 1px 1px rgba(255, 255, 255, 0.2);}.ace_inline_button {border: 1px solid lightgray;display: inline-block;margin: -1px 8px;padding: 0 5px;pointer-events: auto;cursor: pointer;}.ace_inline_button:hover {border-color: gray;background: rgba(200,200,200,0.2);display: inline-block;pointer-events: auto;}.ace_fold-widget.ace_invalid {background-color: #FFB4B4;border-color: #DE5555;}.ace_fade-fold-widgets .ace_fold-widget {transition: opacity 0.4s ease 0.05s;opacity: 0;}.ace_fade-fold-widgets:hover .ace_fold-widget {transition: opacity 0.05s ease 0.05s;opacity:1;}.ace_underline {text-decoration: underline;}.ace_bold {font-weight: bold;}.ace_nobold .ace_bold {font-weight: normal;}.ace_italic {font-style: italic;}.ace_error-marker {background-color: rgba(255, 0, 0,0.2);position: absolute;z-index: 9;}.ace_highlight-marker {background-color: rgba(255, 255, 0,0.2);position: absolute;z-index: 8;}.ace_mobile-menu {position: absolute;line-height: 1.5;border-radius: 4px;-ms-user-select: none;-moz-user-select: none;-webkit-user-select: none;user-select: none;background: white;box-shadow: 1px 3px 2px grey;border: 1px solid #dcdcdc;color: black;}.ace_dark > .ace_mobile-menu {background: #333;color: #ccc;box-shadow: 1px 3px 2px grey;border: 1px solid #444;}.ace_mobile-button {padding: 2px;cursor: pointer;overflow: hidden;}.ace_mobile-button:hover {background-color: #eee;opacity:1;}.ace_mobile-button:active {background-color: #ddd;}.ace_placeholder {font-family: arial;transform: scale(0.9);transform-origin: left;white-space: pre;opacity: 0.7;margin: 0 10px;}',m=e(\"./lib/useragent\"),C=m.isIE;i.importCssString(p,\"ace_editor.css\"),(function(){this.CHANGE_CURSOR=1,this.CHANGE_MARKER=2,this.CHANGE_GUTTER=4,this.CHANGE_SCROLL=8,this.CHANGE_LINES=16,this.CHANGE_TEXT=32,this.CHANGE_SIZE=64,this.CHANGE_MARKER_BACK=128,this.CHANGE_MARKER_FRONT=256,this.CHANGE_FULL=512,this.CHANGE_H_SCROLL=1024,r.implement(this,g),this.updateCharacterSize=function(){this.$textLayer.allowBoldFonts!=this.$allowBoldFonts&&(this.$allowBoldFonts=this.$textLayer.allowBoldFonts,this.setStyle(\"ace_nobold\",!this.$allowBoldFonts)),this.layerConfig.characterWidth=this.characterWidth=this.$textLayer.getCharacterWidth(),this.layerConfig.lineHeight=this.lineHeight=this.$textLayer.getLineHeight(),this.$updatePrintMargin(),i.setStyle(this.scroller.style,\"line-height\",this.lineHeight+\"px\")},this.setSession=function(e){this.session&&this.session.doc.off(\"changeNewLineMode\",this.onChangeNewLineMode),(this.session=e)&&this.scrollMargin.top&&e.getScrollTop()<=0&&e.setScrollTop(-this.scrollMargin.top),this.$cursorLayer.setSession(e),this.$markerBack.setSession(e),this.$markerFront.setSession(e),this.$gutterLayer.setSession(e),this.$textLayer.setSession(e),e&&(this.$loop.schedule(this.CHANGE_FULL),this.session.$setFontMetrics(this.$fontMetrics),this.scrollBarH.scrollLeft=this.scrollBarV.scrollTop=null,this.onChangeNewLineMode=this.onChangeNewLineMode.bind(this),this.onChangeNewLineMode(),this.session.doc.on(\"changeNewLineMode\",this.onChangeNewLineMode))},this.updateLines=function(e,t,n){if(void 0===t&&(t=1/0),this.$changedLines?(this.$changedLines.firstRow>e&&(this.$changedLines.firstRow=e),this.$changedLines.lastRow<t&&(this.$changedLines.lastRow=t)):this.$changedLines={firstRow:e,lastRow:t},this.$changedLines.lastRow<this.layerConfig.firstRow){if(!n)return;this.$changedLines.lastRow=this.layerConfig.lastRow}this.$changedLines.firstRow>this.layerConfig.lastRow||this.$loop.schedule(this.CHANGE_LINES)},this.onChangeNewLineMode=function(){this.$loop.schedule(this.CHANGE_TEXT),this.$textLayer.$updateEolChar(),this.session.$bidiHandler.setEolChar(this.$textLayer.EOL_CHAR)},this.onChangeTabSize=function(){this.$loop.schedule(this.CHANGE_TEXT|this.CHANGE_MARKER),this.$textLayer.onChangeTabSize()},this.updateText=function(){this.$loop.schedule(this.CHANGE_TEXT)},this.updateFull=function(e){e?this.$renderChanges(this.CHANGE_FULL,!0):this.$loop.schedule(this.CHANGE_FULL)},this.updateFontSize=function(){this.$textLayer.checkForSizeChanges()},this.$changes=0,this.$updateSizeAsync=function(){this.$loop.pending?this.$size.$dirty=!0:this.onResize()},this.onResize=function(e,t,n,r){if(!(2<this.resizing)){0<this.resizing?this.resizing++:this.resizing=e?1:0;var i=this.container;if(t=this.$updateCachedSize(e,t,n=n||i.clientWidth||i.scrollWidth,r=r||i.clientHeight||i.scrollHeight),!this.$size.scrollerHeight||!n&&!r)return this.resizing=0;e&&(this.$gutterLayer.$padding=null),e?this.$renderChanges(t|this.$changes,!0):this.$loop.schedule(t|this.$changes),this.resizing&&(this.resizing=0),this.scrollBarV.scrollLeft=this.scrollBarV.scrollTop=null}},this.$updateCachedSize=function(e,t,n,r){var s=0,o=this.$size,a={width:o.width,height:o.height,scrollerHeight:o.scrollerHeight,scrollerWidth:o.scrollerWidth};return(r-=this.$extraHeight||0)&&(e||o.height!=r)&&(o.height=r,s|=this.CHANGE_SIZE,o.scrollerHeight=o.height,this.$horizScroll&&(o.scrollerHeight-=this.scrollBarH.getHeight()),this.scrollBarV.element.style.bottom=this.scrollBarH.getHeight()+\"px\",s|=this.CHANGE_SCROLL),n&&(e||o.width!=n)&&(s|=this.CHANGE_SIZE,o.width=n,null==t&&(t=this.$showGutter?this.$gutter.offsetWidth:0),this.gutterWidth=t,i.setStyle(this.scrollBarH.element.style,\"left\",t+\"px\"),i.setStyle(this.scroller.style,\"left\",t+this.margin.left+\"px\"),o.scrollerWidth=Math.max(0,n-t-this.scrollBarV.getWidth()-this.margin.h),i.setStyle(this.$gutter.style,\"left\",this.margin.left+\"px\"),t=this.scrollBarV.getWidth()+\"px\",i.setStyle(this.scrollBarH.element.style,\"right\",t),i.setStyle(this.scroller.style,\"right\",t),i.setStyle(this.scroller.style,\"bottom\",this.scrollBarH.getHeight()),(this.session&&this.session.getUseWrapMode()&&this.adjustWrapLimit()||e)&&(s|=this.CHANGE_FULL)),o.$dirty=!n||!r,s&&this._signal(\"resize\",a),s},this.onGutterResize=function(e){(e=this.$showGutter?e:0)!=this.gutterWidth&&(this.$changes|=this.$updateCachedSize(!0,e,this.$size.width,this.$size.height)),this.session.getUseWrapMode()&&this.adjustWrapLimit()||this.$size.$dirty?this.$loop.schedule(this.CHANGE_FULL):this.$computeLayerConfig()},this.adjustWrapLimit=function(){var e=this.$size.scrollerWidth-2*this.$padding;return e=Math.floor(e/this.characterWidth),this.session.adjustWrapLimit(e,this.$showPrintMargin&&this.$printMarginColumn)},this.setAnimatedScroll=function(e){this.setOption(\"animatedScroll\",e)},this.getAnimatedScroll=function(){return this.$animatedScroll},this.setShowInvisibles=function(e){this.setOption(\"showInvisibles\",e),this.session.$bidiHandler.setShowInvisibles(e)},this.getShowInvisibles=function(){return this.getOption(\"showInvisibles\")},this.getDisplayIndentGuides=function(){return this.getOption(\"displayIndentGuides\")},this.setDisplayIndentGuides=function(e){this.setOption(\"displayIndentGuides\",e)},this.setShowPrintMargin=function(e){this.setOption(\"showPrintMargin\",e)},this.getShowPrintMargin=function(){return this.getOption(\"showPrintMargin\")},this.setPrintMarginColumn=function(e){this.setOption(\"printMarginColumn\",e)},this.getPrintMarginColumn=function(){return this.getOption(\"printMarginColumn\")},this.getShowGutter=function(){return this.getOption(\"showGutter\")},this.setShowGutter=function(e){return this.setOption(\"showGutter\",e)},this.getFadeFoldWidgets=function(){return this.getOption(\"fadeFoldWidgets\")},this.setFadeFoldWidgets=function(e){this.setOption(\"fadeFoldWidgets\",e)},this.setHighlightGutterLine=function(e){this.setOption(\"highlightGutterLine\",e)},this.getHighlightGutterLine=function(){return this.getOption(\"highlightGutterLine\")},this.$updatePrintMargin=function(){var e;(this.$showPrintMargin||this.$printMarginEl)&&(this.$printMarginEl||((e=i.createElement(\"div\")).className=\"ace_layer ace_print-margin-layer\",this.$printMarginEl=i.createElement(\"div\"),this.$printMarginEl.className=\"ace_print-margin\",e.appendChild(this.$printMarginEl),this.content.insertBefore(e,this.content.firstChild)),(e=this.$printMarginEl.style).left=Math.round(this.characterWidth*this.$printMarginColumn+this.$padding)+\"px\",e.visibility=this.$showPrintMargin?\"visible\":\"hidden\",this.session&&-1==this.session.$wrap&&this.adjustWrapLimit())},this.getContainerElement=function(){return this.container},this.getMouseEventTarget=function(){return this.scroller},this.getTextAreaContainer=function(){return this.container},this.$moveTextAreaToCursor=function(){var e,t,n,r,s,o,a;this.$isMousePressed||(e=this.textarea.style,o=this.$composition,this.$keepTextAreaAtCursor||o?(a=this.$cursorLayer.$pixelPos)&&(o&&o.markerRange&&(a=this.$cursorLayer.getPixelPosition(o.markerRange.start,!0)),t=a.top,n=a.left,r=o&&o.useTextareaForIME?this.lineHeight:C?0:1,(t-=(s=this.layerConfig).offset)<0||t>s.height-r?i.translate(this.textarea,0,0):(a=1,s=this.$size.height-r,o?o.useTextareaForIME?a=this.characterWidth*this.session.$getStringScreenWidth(o=this.textarea.value)[0]:t+=this.lineHeight+2:t+=this.lineHeight,(n-=this.scrollLeft)>this.$size.scrollerWidth-a&&(n=this.$size.scrollerWidth-a),n+=this.gutterWidth+this.margin.left,i.setStyle(e,\"height\",r+\"px\"),i.setStyle(e,\"width\",a+\"px\"),i.translate(this.textarea,Math.min(n,this.$size.scrollerWidth-a),Math.min(t,s)))):i.translate(this.textarea,-100,0))},this.getFirstVisibleRow=function(){return this.layerConfig.firstRow},this.getFirstFullyVisibleRow=function(){return this.layerConfig.firstRow+(0===this.layerConfig.offset?0:1)},this.getLastFullyVisibleRow=function(){var e=this.layerConfig,t=e.lastRow;return this.session.documentToScreenRow(t,0)*e.lineHeight-this.session.getScrollTop()>e.height-e.lineHeight?t-1:t},this.getLastVisibleRow=function(){return this.layerConfig.lastRow},this.$padding=null,this.setPadding=function(e){this.$padding=e,this.$textLayer.setPadding(e),this.$cursorLayer.setPadding(e),this.$markerFront.setPadding(e),this.$markerBack.setPadding(e),this.$loop.schedule(this.CHANGE_FULL),this.$updatePrintMargin()},this.setScrollMargin=function(e,t,n,r){var i=this.scrollMargin;i.top=0|e,i.bottom=0|t,i.right=0|r,i.left=0|n,i.v=i.top+i.bottom,i.h=i.left+i.right,i.top&&this.scrollTop<=0&&this.session&&this.session.setScrollTop(-i.top),this.updateFull()},this.setMargin=function(e,t,n,r){var i=this.margin;i.top=0|e,i.bottom=0|t,i.right=0|r,i.left=0|n,i.v=i.top+i.bottom,i.h=i.left+i.right,this.$updateCachedSize(!0,this.gutterWidth,this.$size.width,this.$size.height),this.updateFull()},this.getHScrollBarAlwaysVisible=function(){return this.$hScrollBarAlwaysVisible},this.setHScrollBarAlwaysVisible=function(e){this.setOption(\"hScrollBarAlwaysVisible\",e)},this.getVScrollBarAlwaysVisible=function(){return this.$vScrollBarAlwaysVisible},this.setVScrollBarAlwaysVisible=function(e){this.setOption(\"vScrollBarAlwaysVisible\",e)},this.$updateScrollBarV=function(){var e=this.layerConfig.maxHeight,t=this.$size.scrollerHeight;!this.$maxLines&&this.$scrollPastEnd&&this.scrollTop>(e-=(t-this.lineHeight)*this.$scrollPastEnd)-t&&(e=this.scrollTop+t,this.scrollBarV.scrollTop=null),this.scrollBarV.setScrollHeight(e+this.scrollMargin.v),this.scrollBarV.setScrollTop(this.scrollTop+this.scrollMargin.top)},this.$updateScrollBarH=function(){this.scrollBarH.setScrollWidth(this.layerConfig.width+2*this.$padding+this.scrollMargin.h),this.scrollBarH.setScrollLeft(this.scrollLeft+this.scrollMargin.left)},this.$frozen=!1,this.freeze=function(){this.$frozen=!0},this.unfreeze=function(){this.$frozen=!1},this.$renderChanges=function(e,t){if(this.$changes&&(e|=this.$changes,this.$changes=0),this.session&&this.container.offsetWidth&&!this.$frozen&&(e||t)){if(this.$size.$dirty)return this.$changes|=e,this.onResize(!0);this.lineHeight||this.$textLayer.checkForSizeChanges(),this._signal(\"beforeRender\",e),this.session&&this.session.$bidiHandler&&this.session.$bidiHandler.updateCharacterWidths(this.$fontMetrics);var n,r=this.layerConfig;return(e&this.CHANGE_FULL||e&this.CHANGE_SIZE||e&this.CHANGE_TEXT||e&this.CHANGE_LINES||e&this.CHANGE_SCROLL||e&this.CHANGE_H_SCROLL)&&(e|=this.$computeLayerConfig()|this.$loop.clear(),r.firstRow==this.layerConfig.firstRow||r.firstRowScreen!=this.layerConfig.firstRowScreen||0<(n=this.scrollTop+(r.firstRow-this.layerConfig.firstRow)*this.lineHeight)&&(this.scrollTop=n,e|=this.CHANGE_SCROLL,e|=this.$computeLayerConfig()|this.$loop.clear()),r=this.layerConfig,this.$updateScrollBarV(),e&this.CHANGE_H_SCROLL&&this.$updateScrollBarH(),i.translate(this.content,-this.scrollLeft,-r.offset),n=r.minHeight+\"px\",i.setStyle(this.content.style,\"width\",t=r.width+2*this.$padding+\"px\"),i.setStyle(this.content.style,\"height\",n)),e&this.CHANGE_H_SCROLL&&(i.translate(this.content,-this.scrollLeft,-r.offset),this.scroller.className=this.scrollLeft<=0?\"ace_scroller\":\"ace_scroller ace_scroll-left\"),e&this.CHANGE_FULL?(this.$changedLines=null,this.$textLayer.update(r),this.$showGutter&&this.$gutterLayer.update(r),this.$markerBack.update(r),this.$markerFront.update(r),this.$cursorLayer.update(r),this.$moveTextAreaToCursor(),void this._signal(\"afterRender\",e)):(e&this.CHANGE_SCROLL?(this.$changedLines=null,e&this.CHANGE_TEXT||e&this.CHANGE_LINES?this.$textLayer.update(r):this.$textLayer.scrollLines(r),this.$showGutter&&(e&this.CHANGE_GUTTER||e&this.CHANGE_LINES?this.$gutterLayer.update(r):this.$gutterLayer.scrollLines(r)),this.$markerBack.update(r),this.$markerFront.update(r),this.$cursorLayer.update(r),this.$moveTextAreaToCursor()):(e&this.CHANGE_TEXT?(this.$changedLines=null,this.$textLayer.update(r),this.$showGutter&&this.$gutterLayer.update(r)):e&this.CHANGE_LINES?(this.$updateLines()||e&this.CHANGE_GUTTER&&this.$showGutter)&&this.$gutterLayer.update(r):e&this.CHANGE_TEXT||e&this.CHANGE_GUTTER?this.$showGutter&&this.$gutterLayer.update(r):e&this.CHANGE_CURSOR&&this.$highlightGutterLine&&this.$gutterLayer.updateLineHighlight(r),e&this.CHANGE_CURSOR&&(this.$cursorLayer.update(r),this.$moveTextAreaToCursor()),e&(this.CHANGE_MARKER|this.CHANGE_MARKER_FRONT)&&this.$markerFront.update(r),e&(this.CHANGE_MARKER|this.CHANGE_MARKER_BACK)&&this.$markerBack.update(r)),void this._signal(\"afterRender\",e))}this.$changes|=e},this.$autosize=function(){var e=this.session.getScreenLength()*this.lineHeight,t=this.$maxLines*this.lineHeight,n=Math.min(t,Math.max((this.$minLines||1)*this.lineHeight,e))+this.scrollMargin.v+(this.$extraHeight||0);this.$horizScroll&&(n+=this.scrollBarH.getHeight()),this.$maxPixelHeight&&n>this.$maxPixelHeight&&(n=this.$maxPixelHeight),e=!(n<=2*this.lineHeight)&&t<e,n==this.desiredHeight&&this.$size.height==this.desiredHeight&&e==this.$vScroll||(e!=this.$vScroll&&(this.$vScroll=e,this.scrollBarV.setVisible(e)),e=this.container.clientWidth,this.container.style.height=n+\"px\",this.$updateCachedSize(!0,this.$gutterWidth,e,n),this.desiredHeight=n,this._signal(\"autosize\"))},this.$computeLayerConfig=function(){var e=this.session,t=this.$size,n=t.height<=2*this.lineHeight,r=this.session.getScreenLength()*this.lineHeight,i=this.$getLongestLine(),s=this.$horizScroll!==(d=!n&&(this.$hScrollBarAlwaysVisible||t.scrollerWidth-i-2*this.$padding<0));s&&(this.$horizScroll=d,this.scrollBarH.setVisible(d));var o=this.$vScroll;this.$maxLines&&1<this.lineHeight&&this.$autosize();var a=t.scrollerHeight+this.lineHeight;r+=u=!this.$maxLines&&this.$scrollPastEnd?(t.scrollerHeight-this.lineHeight)*this.$scrollPastEnd:0;var c=this.scrollMargin;this.session.setScrollTop(Math.max(-c.top,Math.min(this.scrollTop,r-t.scrollerHeight+c.bottom))),this.session.setScrollLeft(Math.max(-c.left,Math.min(this.scrollLeft,i+2*this.$padding-t.scrollerWidth+c.right)));var l=o!==(h=!n&&(this.$vScrollBarAlwaysVisible||t.scrollerHeight-r+u<0||this.scrollTop>c.top));l&&(this.$vScroll=h,this.scrollBarV.setVisible(h));var h,d=this.scrollTop%this.lineHeight,u=(n=Math.ceil(a/this.lineHeight)-1,c=(u=Math.max(0,Math.round((this.scrollTop-d)/this.lineHeight)))+n,o=this.lineHeight,e.screenToDocumentRow(u,0));return(h=e.getFoldLine(u))&&(u=h.start.row),n=e.documentToScreenRow(u,0),h=e.getRowLength(u)*o,c=Math.min(e.screenToDocumentRow(c,0),e.getLength()-1),a=t.scrollerHeight+e.getRowLength(c)*o+h,d=this.scrollTop-n*o,h=0,this.layerConfig.width==i&&!s||(h=this.CHANGE_H_SCROLL),(s||l)&&(h|=this.$updateCachedSize(!0,this.gutterWidth,t.width,t.height),this._signal(\"scrollbarVisibilityChanged\"),l&&(i=this.$getLongestLine())),this.layerConfig={width:i,padding:this.$padding,firstRow:u,firstRowScreen:n,lastRow:c,lineHeight:o,characterWidth:this.characterWidth,minHeight:a,maxHeight:r,offset:d,gutterOffset:o?Math.max(0,Math.ceil((d+t.height-t.scrollerHeight)/o)):0,height:this.$size.scrollerHeight},this.session.$bidiHandler&&this.session.$bidiHandler.setContentWidth(i-this.$padding),h},this.$updateLines=function(){if(this.$changedLines){var e=this.$changedLines.firstRow,t=this.$changedLines.lastRow;this.$changedLines=null;var n=this.layerConfig;if(!(e>n.lastRow+1||t<n.firstRow))return t===1/0?(this.$showGutter&&this.$gutterLayer.update(n),void this.$textLayer.update(n)):(this.$textLayer.updateLines(n,e,t),!0)}},this.$getLongestLine=function(){var e=this.session.getScreenWidth();return this.showInvisibles&&!this.session.$useWrapMode&&(e+=1),this.$textLayer&&e>this.$textLayer.MAX_LINE_LENGTH&&(e=this.$textLayer.MAX_LINE_LENGTH+30),Math.max(this.$size.scrollerWidth-2*this.$padding,Math.round(e*this.characterWidth))},this.updateFrontMarkers=function(){this.$markerFront.setMarkers(this.session.getMarkers(!0)),this.$loop.schedule(this.CHANGE_MARKER_FRONT)},this.updateBackMarkers=function(){this.$markerBack.setMarkers(this.session.getMarkers()),this.$loop.schedule(this.CHANGE_MARKER_BACK)},this.addGutterDecoration=function(e,t){this.$gutterLayer.addGutterDecoration(e,t)},this.removeGutterDecoration=function(e,t){this.$gutterLayer.removeGutterDecoration(e,t)},this.updateBreakpoints=function(e){this.$loop.schedule(this.CHANGE_GUTTER)},this.setAnnotations=function(e){this.$gutterLayer.setAnnotations(e),this.$loop.schedule(this.CHANGE_GUTTER)},this.updateCursor=function(){this.$loop.schedule(this.CHANGE_CURSOR)},this.hideCursor=function(){this.$cursorLayer.hideCursor()},this.showCursor=function(){this.$cursorLayer.showCursor()},this.scrollSelectionIntoView=function(e,t,n){this.scrollCursorIntoView(e,n),this.scrollCursorIntoView(t,n)},this.scrollCursorIntoView=function(e,t,n){var r,i,s;0!==this.$size.scrollerHeight&&(r=(s=this.$cursorLayer.getPixelPosition(e)).left,i=s.top,e=n&&n.top||0,s=n&&n.bottom||0,i<(n=this.$scrollAnimation?this.session.getScrollTop():this.scrollTop)+e?(t&&n+e>i+this.lineHeight&&(i-=t*this.$size.scrollerHeight),0===i&&(i=-this.scrollMargin.top),this.session.setScrollTop(i)):n+this.$size.scrollerHeight-s<i+this.lineHeight&&(t&&n+this.$size.scrollerHeight-s<i-this.lineHeight&&(i+=t*this.$size.scrollerHeight),this.session.setScrollTop(i+this.lineHeight+s-this.$size.scrollerHeight)),r<(s=this.scrollLeft)?(r<this.$padding+2*this.layerConfig.characterWidth&&(r=-this.scrollMargin.left),this.session.setScrollLeft(r)):s+this.$size.scrollerWidth<r+this.characterWidth?this.session.setScrollLeft(Math.round(r+this.characterWidth-this.$size.scrollerWidth)):s<=this.$padding&&r-s<this.characterWidth&&this.session.setScrollLeft(0))},this.getScrollTop=function(){return this.session.getScrollTop()},this.getScrollLeft=function(){return this.session.getScrollLeft()},this.getScrollTopRow=function(){return this.scrollTop/this.lineHeight},this.getScrollBottomRow=function(){return Math.max(0,Math.floor((this.scrollTop+this.$size.scrollerHeight)/this.lineHeight)-1)},this.scrollToRow=function(e){this.session.setScrollTop(e*this.lineHeight)},this.alignCursor=function(e,t){\"number\"==typeof e&&(e={row:e,column:0});var n=this.$cursorLayer.getPixelPosition(e);return this.session.setScrollTop(t=n.top-(e=this.$size.scrollerHeight-this.lineHeight)*(t||0)),t},this.STEPS=8,this.$calcSteps=function(e,t){var n,r=0,i=this.STEPS,s=[];for(r=0;r<i;++r)s.push((t-(n=e))*(Math.pow(r/this.STEPS-1,3)+1)+n);return s},this.scrollToLine=function(e,t,n,r){e=this.$cursorLayer.getPixelPosition({row:e,column:0}).top,t&&(e-=this.$size.scrollerHeight/2),t=this.scrollTop,this.session.setScrollTop(e),!1!==n&&this.animateScrolling(t,r)},this.animateScrolling=function(e,t){var n=this.scrollTop;if(this.$animatedScroll){var r=this;if(e!=n){if(this.$scrollAnimation){var i=this.$scrollAnimation.steps;if(i.length&&(e=i[0])==n)return}var s=r.$calcSteps(e,n);this.$scrollAnimation={from:e,to:n,steps:s},clearInterval(this.$timer),r.session.setScrollTop(s.shift()),r.session.$scrollTop=n,this.$timer=setInterval((function(){return r.session?void(s.length?(r.session.setScrollTop(s.shift()),r.session.$scrollTop=n):null!=n?(r.session.$scrollTop=-1,r.session.setScrollTop(n),n=null):(r.$timer=clearInterval(r.$timer),r.$scrollAnimation=null,t&&t())):clearInterval(r.$timer)}),10)}}},this.scrollToY=function(e){this.scrollTop!==e&&(this.$loop.schedule(this.CHANGE_SCROLL),this.scrollTop=e)},this.scrollToX=function(e){this.scrollLeft!==e&&(this.scrollLeft=e),this.$loop.schedule(this.CHANGE_H_SCROLL)},this.scrollTo=function(e,t){this.session.setScrollTop(t),this.session.setScrollLeft(t)},this.scrollBy=function(e,t){t&&this.session.setScrollTop(this.session.getScrollTop()+t),e&&this.session.setScrollLeft(this.session.getScrollLeft()+e)},this.isScrollableBy=function(e,t){return t<0&&this.session.getScrollTop()>=1-this.scrollMargin.top||0<t&&this.session.getScrollTop()+this.$size.scrollerHeight-this.layerConfig.maxHeight<-1+this.scrollMargin.bottom||e<0&&this.session.getScrollLeft()>=1-this.scrollMargin.left||0<e&&this.session.getScrollLeft()+this.$size.scrollerWidth-this.layerConfig.width<-1+this.scrollMargin.right||void 0},this.pixelToScreenCoordinates=function(e,t){this.$hasCssTransforms?(r={top:0,left:0},e=(n=this.$fontMetrics.transformCoordinates([e,t]))[1]-this.gutterWidth-this.margin.left,t=n[0]):r=this.scroller.getBoundingClientRect();var n=e+this.scrollLeft-r.left-this.$padding,r=(e=n/this.characterWidth,t=Math.floor((t+this.scrollTop-r.top)/this.lineHeight),this.$blockCursor?Math.floor(e):Math.round(e));return{row:t,column:r,side:0<e-r?1:-1,offsetX:n}},this.screenToTextCoordinates=function(e,t){this.$hasCssTransforms?(r={top:0,left:0},e=(n=this.$fontMetrics.transformCoordinates([e,t]))[1]-this.gutterWidth-this.margin.left,t=n[0]):r=this.scroller.getBoundingClientRect();var n=e+this.scrollLeft-r.left-this.$padding,r=(e=n/this.characterWidth,e=this.$blockCursor?Math.floor(e):Math.round(e),Math.floor((t+this.scrollTop-r.top)/this.lineHeight));return this.session.screenToDocumentPosition(r,Math.max(e,0),n)},this.textToScreenCoordinates=function(e,t){var n=this.scroller.getBoundingClientRect();return t=this.session.documentToScreenPosition(e,t),e=this.$padding+(this.session.$bidiHandler.isBidiRow(t.row,e)?this.session.$bidiHandler.getPosLeft(t.column):Math.round(t.column*this.characterWidth)),{pageX:n.left+e-this.scrollLeft,pageY:n.top+(t=t.row*this.lineHeight)-this.scrollTop}},this.visualizeFocus=function(){i.addCssClass(this.container,\"ace_focus\")},this.visualizeBlur=function(){i.removeCssClass(this.container,\"ace_focus\")},this.showComposition=function(e){(this.$composition=e).cssText||(e.cssText=this.textarea.style.cssText),null==e.useTextareaForIME&&(e.useTextareaForIME=this.$useTextareaForIME),this.$useTextareaForIME?(i.addCssClass(this.textarea,\"ace_composition\"),this.textarea.style.cssText=\"\",this.$moveTextAreaToCursor(),this.$cursorLayer.element.style.display=\"none\"):e.markerId=this.session.addMarker(e.markerRange,\"ace_composition_marker\",\"text\")},this.setCompositionText=function(e){var t=this.session.selection.cursor;this.addToken(e,\"composition_placeholder\",t.row,t.column),this.$moveTextAreaToCursor()},this.hideComposition=function(){var e;this.$composition&&(this.$composition.markerId&&this.session.removeMarker(this.$composition.markerId),i.removeCssClass(this.textarea,\"ace_composition\"),this.textarea.style.cssText=this.$composition.cssText,this.removeExtraToken((e=this.session.selection.cursor).row,e.column),this.$composition=null,this.$cursorLayer.element.style.display=\"\")},this.addToken=function(e,t,n,r){var i=this.session;i.bgTokenizer.lines[n]=null;var s={type:t,value:e},o=i.getTokens(n);if(null==r)o.push(s);else for(var a=0,c=0;c<o.length;c++){var l=o[c];if(r<=(a+=l.value.length)){var h=l.value.slice(0,d=l.value.length-(a-r)),d=l.value.slice(d);o.splice(c,1,{type:l.type,value:h},s,{type:l.type,value:d});break}}this.updateLines(n,n)},this.removeExtraToken=function(e,t){this.updateLines(e,e)},this.setTheme=function(e,t){var n=this;function r(r){if(n.$themeId!=e)return t&&t();if(!r||!r.cssClass)throw new Error(\"couldn't load module \"+e+\" or it didn't call define\");r.$id&&(n.$themeId=r.$id),i.importCssString(r.cssText,r.cssClass,n.container),n.theme&&i.removeCssClass(n.container,n.theme.cssClass);var s=\"padding\"in r?r.padding:\"padding\"in(n.theme||{})?4:n.$padding;n.$padding&&s!=n.$padding&&n.setPadding(s),n.$theme=r.cssClass,n.theme=r,i.addCssClass(n.container,r.cssClass),i.setCssClass(n.container,\"ace_dark\",r.isDark),n.$size&&(n.$size.width=0,n.$updateSizeAsync()),n._dispatchEvent(\"themeLoaded\",{theme:r}),t&&t()}this.$themeId=e,n._dispatchEvent(\"themeChange\",{theme:e}),e&&\"string\"!=typeof e?r(e):s.loadModule([\"theme\",e||this.$options.theme.initialValue],r)},this.getTheme=function(){return this.$themeId},this.setStyle=function(e,t){i.setCssClass(this.container,e,!1!==t)},this.unsetStyle=function(e){i.removeCssClass(this.container,e)},this.setCursorStyle=function(e){i.setStyle(this.scroller.style,\"cursor\",e)},this.setMouseCursor=function(e){i.setStyle(this.scroller.style,\"cursor\",e)},this.attachToShadowRoot=function(){i.importCssString(p,\"ace_editor.css\",this.container)},this.destroy=function(){this.freeze(),this.$fontMetrics.destroy(),this.$cursorLayer.destroy(),this.removeAllListeners(),this.container.textContent=\"\"}}).call((e=function(e,t){var n=this;this.container=e||i.createElement(\"div\"),i.addCssClass(this.container,\"ace_editor\"),i.HI_DPI&&i.addCssClass(this.container,\"ace_hidpi\"),this.setTheme(t),this.$gutter=i.createElement(\"div\"),this.$gutter.className=\"ace_gutter\",this.container.appendChild(this.$gutter),this.$gutter.setAttribute(\"aria-hidden\",!0),this.scroller=i.createElement(\"div\"),this.scroller.className=\"ace_scroller\",this.container.appendChild(this.scroller),this.content=i.createElement(\"div\"),this.content.className=\"ace_content\",this.scroller.appendChild(this.content),this.$gutterLayer=new o(this.$gutter),this.$gutterLayer.on(\"changeGutterWidth\",this.onGutterResize.bind(this)),this.$markerBack=new a(this.content),t=this.$textLayer=new c(this.content),this.canvas=t.element,this.$markerFront=new a(this.content),this.$cursorLayer=new l(this.content),this.$horizScroll=!1,this.$vScroll=!1,this.scrollBar=this.scrollBarV=new d(this.container,this),this.scrollBarH=new h(this.container,this),this.scrollBarV.on(\"scroll\",(function(e){n.$scrollAnimation||n.session.setScrollTop(e.data-n.scrollMargin.top)})),this.scrollBarH.on(\"scroll\",(function(e){n.$scrollAnimation||n.session.setScrollLeft(e.data-n.scrollMargin.left)})),this.scrollTop=0,this.scrollLeft=0,this.cursorPos={row:0,column:0},this.$fontMetrics=new f(this.container),this.$textLayer.$setFontMetrics(this.$fontMetrics),this.$textLayer.on(\"changeCharacterSize\",(function(e){n.updateCharacterSize(),n.onResize(!0,n.gutterWidth,n.$size.width,n.$size.height),n._signal(\"changeCharacterSize\",e)})),this.$size={width:0,height:0,scrollerHeight:0,scrollerWidth:0,$dirty:!0},this.layerConfig={width:1,padding:0,firstRow:0,firstRowScreen:0,lastRow:0,lineHeight:0,characterWidth:0,minHeight:1,maxHeight:1,offset:0,height:1,gutterOffset:1},this.scrollMargin={left:0,right:0,top:0,bottom:0,v:0,h:0},this.margin={left:0,right:0,top:0,bottom:0,v:0,h:0},this.$keepTextAreaAtCursor=!m.isIOS,this.$loop=new u(this.$renderChanges.bind(this),this.container.ownerDocument.defaultView),this.$loop.schedule(this.CHANGE_FULL),this.updateCharacterSize(),this.setPadding(4),s.resetOptions(this),s._signal(\"renderer\",this)}).prototype),s.defineOptions(e.prototype,\"renderer\",{animatedScroll:{initialValue:!1},showInvisibles:{set:function(e){this.$textLayer.setShowInvisibles(e)&&this.$loop.schedule(this.CHANGE_TEXT)},initialValue:!1},showPrintMargin:{set:function(){this.$updatePrintMargin()},initialValue:!0},printMarginColumn:{set:function(){this.$updatePrintMargin()},initialValue:80},printMargin:{set:function(e){\"number\"==typeof e&&(this.$printMarginColumn=e),this.$showPrintMargin=!!e,this.$updatePrintMargin()},get:function(){return this.$showPrintMargin&&this.$printMarginColumn}},showGutter:{set:function(e){this.$gutter.style.display=e?\"block\":\"none\",this.$loop.schedule(this.CHANGE_FULL),this.onGutterResize()},initialValue:!0},fadeFoldWidgets:{set:function(e){i.setCssClass(this.$gutter,\"ace_fade-fold-widgets\",e)},initialValue:!1},showFoldWidgets:{set:function(e){this.$gutterLayer.setShowFoldWidgets(e),this.$loop.schedule(this.CHANGE_GUTTER)},initialValue:!0},displayIndentGuides:{set:function(e){this.$textLayer.setDisplayIndentGuides(e)&&this.$loop.schedule(this.CHANGE_TEXT)},initialValue:!0},highlightGutterLine:{set:function(e){this.$gutterLayer.setHighlightGutterLine(e),this.$loop.schedule(this.CHANGE_GUTTER)},initialValue:!0},hScrollBarAlwaysVisible:{set:function(e){this.$hScrollBarAlwaysVisible&&this.$horizScroll||this.$loop.schedule(this.CHANGE_SCROLL)},initialValue:!1},vScrollBarAlwaysVisible:{set:function(e){this.$vScrollBarAlwaysVisible&&this.$vScroll||this.$loop.schedule(this.CHANGE_SCROLL)},initialValue:!1},fontSize:{set:function(e){\"number\"==typeof e&&(e+=\"px\"),this.container.style.fontSize=e,this.updateFontSize()},initialValue:12},fontFamily:{set:function(e){this.container.style.fontFamily=e,this.updateFontSize()}},maxLines:{set:function(e){this.updateFull()}},minLines:{set:function(e){this.$minLines<562949953421311||(this.$minLines=0),this.updateFull()}},maxPixelHeight:{set:function(e){this.updateFull()},initialValue:0},scrollPastEnd:{set:function(e){this.$scrollPastEnd!=(e=+e||0)&&(this.$scrollPastEnd=e,this.$loop.schedule(this.CHANGE_SCROLL))},initialValue:0,handlesSet:!0},fixedWidthGutter:{set:function(e){this.$gutterLayer.$fixedWidth=!!e,this.$loop.schedule(this.CHANGE_GUTTER)}},theme:{set:function(e){this.setTheme(e)},get:function(){return this.$themeId||this.theme},initialValue:\"./theme/textmate\",handlesSet:!0},hasCssTransforms:{},useTextareaForIME:{initialValue:!m.isMobile&&!m.isIE}}),t.VirtualRenderer=e})),ace.define(\"ace/worker/worker_client\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/lib/net\",\"ace/lib/event_emitter\",\"ace/config\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/oop\"),i=e(\"../lib/net\"),s=e(\"../lib/event_emitter\").EventEmitter,o=e(\"../config\");function a(e){if(\"undefined\"==typeof Worker)return{postMessage:function(){},terminate:function(){}};if(o.get(\"loadWorkerFromBlob\")){var t=function(t){var n=\"importScripts('\"+i.qualifyURL(t)+\"');\";try{return new Blob([n],{type:\"application/javascript\"})}catch(e){return(t=new(window.BlobBuilder||window.WebKitBlobBuilder||window.MozBlobBuilder)).append(n),t.getBlob(\"application/javascript\")}}(e);return t=(window.URL||window.webkitURL).createObjectURL(t),new Worker(t)}return new Worker(e)}function c(e){e.postMessage||(e=this.$createWorkerFromOldConfig.apply(this,arguments)),this.$worker=e,this.$sendDeltaQueue=this.$sendDeltaQueue.bind(this),this.changeListener=this.changeListener.bind(this),this.onMessage=this.onMessage.bind(this),this.callbackId=1,this.callbacks={},this.$worker.onmessage=this.onMessage}(function(){r.implement(this,s),this.$createWorkerFromOldConfig=function(t,n,r,i,s){var c,l;return e.nameToUrl&&!e.toUrl&&(e.toUrl=e.nameToUrl),o.get(\"packaged\")||!e.toUrl?i=i||o.moduleUrl(n,\"worker\"):(c=this.$normalizePath,i=i||c(e.toUrl(\"ace/worker/worker.js\",null,\"_\")),l={},t.forEach((function(t){l[t]=c(e.toUrl(t,null,\"_\").replace(/(\\.js)?(\\?.*)?$/,\"\"))}))),this.$worker=a(i),s&&this.send(\"importScripts\",s),this.$worker.postMessage({init:!0,tlns:l,module:n,classname:r}),this.$worker},this.onMessage=function(e){var t=e.data;switch(t.type){case\"event\":this._signal(t.name,{data:t.data});break;case\"call\":var n=this.callbacks[t.id];n&&(n(t.data),delete this.callbacks[t.id]);break;case\"error\":this.reportError(t.data);break;case\"log\":window.console&&console.log&&console.log.apply(console,t.data)}},this.reportError=function(e){window.console&&console.error&&console.error(e)},this.$normalizePath=function(e){return i.qualifyURL(e)},this.terminate=function(){this._signal(\"terminate\",{}),this.deltaQueue=null,this.$worker.terminate(),this.$worker=null,this.$doc&&this.$doc.off(\"change\",this.changeListener),this.$doc=null},this.send=function(e,t){this.$worker.postMessage({command:e,args:t})},this.call=function(e,t,n){var r;n&&(r=this.callbackId++,this.callbacks[r]=n,t.push(r)),this.send(e,t)},this.emit=function(e,t){try{t.data&&t.data.err&&(t.data.err={message:t.data.err.message,stack:t.data.err.stack,code:t.data.err.code}),this.$worker.postMessage({event:e,data:{data:t.data}})}catch(e){console.error(e.stack)}},this.attachToDocument=function(e){this.$doc&&this.terminate(),this.$doc=e,this.call(\"setValue\",[e.getValue()]),e.on(\"change\",this.changeListener)},this.changeListener=function(e){this.deltaQueue||(this.deltaQueue=[],setTimeout(this.$sendDeltaQueue,0)),this.deltaQueue.push(e.start,\"insert\"==e.action?e.lines:e.end)},this.$sendDeltaQueue=function(){var e=this.deltaQueue;e&&(this.deltaQueue=null,50<e.length&&e.length>this.$doc.getLength()>>1?this.call(\"setValue\",[this.$doc.getValue()]):this.emit(\"change\",{data:e}))}}).call(c.prototype),t.UIWorkerClient=function(e,t,n){var r=null,i=!1,a=Object.create(s),l=[],h=new c({messageBuffer:l,terminate:function(){},postMessage:function(e){l.push(e),r&&(i?setTimeout(d):d())}});h.setEmitSync=function(e){i=e};var d=function(){var e=l.shift();e.command?r[e.command].apply(r,e.args):e.event&&a._signal(e.event,e.data)};return a.postMessage=function(e){h.onMessage({data:e})},a.callback=function(e,t){this.postMessage({type:\"call\",id:t,data:e})},a.emit=function(e,t){this.postMessage({type:\"event\",name:e,data:t})},o.loadModule([\"worker\",t],(function(e){for(r=new e[n](a);l.length;)d()})),h},t.WorkerClient=c,t.createWorker=a})),ace.define(\"ace/placeholder\",[\"require\",\"exports\",\"module\",\"ace/range\",\"ace/lib/event_emitter\",\"ace/lib/oop\"],(function(e,t,n){\"use strict\";var r=e(\"./range\").Range,i=e(\"./lib/event_emitter\").EventEmitter,s=e(\"./lib/oop\");(function(){s.implement(this,i),this.setup=function(){var e=this,t=this.doc,n=this.session;this.selectionBefore=n.selection.toJSON(),n.selection.inMultiSelectMode&&n.selection.toSingleRange(),this.pos=t.createAnchor(this.$pos.row,this.$pos.column);var i=this.pos;i.$insertRight=!0,i.detach(),i.markerId=n.addMarker(new r(i.row,i.column,i.row,i.column+this.length),this.mainClass,null,!1),this.others=[],this.$others.forEach((function(n){(n=t.createAnchor(n.row,n.column)).$insertRight=!0,n.detach(),e.others.push(n)})),n.setUndoSelect(!1)},this.showOtherMarkers=function(){var e,t;this.othersActive||(e=this.session,(t=this).othersActive=!0,this.others.forEach((function(n){n.markerId=e.addMarker(new r(n.row,n.column,n.row,n.column+t.length),t.othersClass,null,!1)})))},this.hideOtherMarkers=function(){if(this.othersActive){this.othersActive=!1;for(var e=0;e<this.others.length;e++)this.session.removeMarker(this.others[e].markerId)}},this.onUpdate=function(e){if(this.$updating)return this.updateAnchors(e);var t=e;if(t.start.row===t.end.row&&t.start.row===this.pos.row){this.$updating=!0;var n=\"insert\"===e.action?t.end.column-t.start.column:t.start.column-t.end.column,i=t.start.column>=this.pos.column&&t.start.column<=this.pos.column+this.length+1,s=t.start.column-this.pos.column;if(this.updateAnchors(e),i&&(this.length+=n),i&&!this.session.$fromUndo)if(\"insert\"===e.action)for(var o=this.others.length-1;0<=o;o--){var a={row:(c=this.others[o]).row,column:c.column+s};this.doc.insertMergedLines(a,e.lines)}else if(\"remove\"===e.action)for(o=this.others.length-1;0<=o;o--){var c;a={row:(c=this.others[o]).row,column:c.column+s},this.doc.remove(new r(a.row,a.column,a.row,a.column-n))}this.$updating=!1,this.updateMarkers()}},this.updateAnchors=function(e){this.pos.onChange(e);for(var t=this.others.length;t--;)this.others[t].onChange(e);this.updateMarkers()},this.updateMarkers=function(){if(!this.$updating){var e=this,t=this.session,n=function(n,i){t.removeMarker(n.markerId),n.markerId=t.addMarker(new r(n.row,n.column,n.row,n.column+e.length),i,null,!1)};n(this.pos,this.mainClass);for(var i=this.others.length;i--;)n(this.others[i],this.othersClass)}},this.onCursorChange=function(e){var t;!this.$updating&&this.session&&((t=this.session.selection.getCursor()).row===this.pos.row&&t.column>=this.pos.column&&t.column<=this.pos.column+this.length?(this.showOtherMarkers(),this._emit(\"cursorEnter\",e)):(this.hideOtherMarkers(),this._emit(\"cursorLeave\",e)))},this.detach=function(){this.session.removeMarker(this.pos&&this.pos.markerId),this.hideOtherMarkers(),this.doc.off(\"change\",this.$onUpdate),this.session.selection.off(\"changeCursor\",this.$onCursorChange),this.session.setUndoSelect(!0),this.session=null},this.cancel=function(){if(-1!==this.$undoStackDepth){for(var e=this.session.getUndoManager(),t=(e.$undoStack||e.$undostack).length-this.$undoStackDepth,n=0;n<t;n++)e.undo(this.session,!0);this.selectionBefore&&this.session.selection.fromJSON(this.selectionBefore)}}}).call((e=function(e,t,n,r,i,s){var o=this;this.length=t,this.session=e,this.doc=e.getDocument(),this.mainClass=i,this.othersClass=s,this.$onUpdate=this.onUpdate.bind(this),this.doc.on(\"change\",this.$onUpdate),this.$others=r,this.$onCursorChange=function(){setTimeout((function(){o.onCursorChange()}))},this.$pos=n,n=e.getUndoManager().$undoStack||e.getUndoManager().$undostack||{length:-1},this.$undoStackDepth=n.length,this.setup(),e.selection.on(\"changeCursor\",this.$onCursorChange)}).prototype),t.PlaceHolder=e})),ace.define(\"ace/mouse/multi_select_handler\",[\"require\",\"exports\",\"module\",\"ace/lib/event\",\"ace/lib/useragent\"],(function(e,t,n){var r=e(\"../lib/event\"),i=e(\"../lib/useragent\");function s(e,t){return e.row==t.row&&e.column==t.column}t.onMouseDown=function(e){var t=e.domEvent,n=t.altKey,o=t.shiftKey,a=t.ctrlKey,c=e.getAccelKey(),l=e.getButton();if(a&&i.isMac&&(l=t.button),e.editor.inMultiSelectMode&&2==l)e.editor.textInput.onContextMenu(e.domEvent);else if(a||n||c){if(0===l){var h,d,u,f,g=e.editor,p=g.selection,m=g.inMultiSelectMode,C=e.getDocumentPosition(),b=p.getCursor(),v=(b=e.inSelection()||p.isEmpty()&&s(C,b),e.x),I=e.y,A=g.session,y=g.renderer.pixelToScreenCoordinates(v,I),w=y;if(g.$mouseHandler.$enableJumpToDef)a&&n||c&&n?h=o?\"block\":\"add\":n&&g.$blockSelectEnabled&&(h=\"block\");else if(c&&!n){if(h=\"add\",!m&&o)return}else n&&g.$blockSelectEnabled&&(h=\"block\");if(h&&i.isMac&&t.ctrlKey&&g.$mouseHandler.cancelContextMenu(),\"add\"==h)!m&&b||(m||(d=p.toOrientedRange(),g.addSelectionMarker(d)),u=p.rangeList.rangeAtPoint(C),g.inVirtualSelectionMode=!0,o&&(u=null,g.removeSelectionMarker(d=p.ranges[0]||d)),g.once(\"mouseup\",(function(){var e=p.toOrientedRange();u&&e.isEmpty()&&s(u.cursor,e.cursor)?p.substractPoint(e.cursor):(o?p.substractPoint(d.cursor):d&&(g.removeSelectionMarker(d),p.addRange(d)),p.addRange(e)),g.inVirtualSelectionMode=!1})));else if(\"block\"==h){function S(){var e=g.renderer.pixelToScreenCoordinates(v,I),t=A.screenToDocumentPosition(e.row,e.column,e.offsetX);s(w,e)&&s(t,p.lead)||(w=e,g.selection.moveToPosition(t),g.renderer.scrollCursorIntoView(),g.removeSelectionMarkers(x),x=p.rectangularRangeBlock(w,y),g.$mouseHandler.$clickSelection&&1==x.length&&x[0].isEmpty()&&(x[0]=g.$mouseHandler.$clickSelection.clone()),x.forEach(g.addSelectionMarker,g),g.updateSelectionMarkers())}e.stop(),g.inVirtualSelectionMode=!0;var x=[];m&&!c?p.toSingleRange():!m&&c&&(f=p.toOrientedRange(),g.addSelectionMarker(f)),o?y=A.documentToScreenPosition(p.lead):p.moveToPosition(C),w={row:-1,column:-1};var E=S;r.capture(g.container,(function(e){v=e.clientX,I=e.clientY}),(function(e){S(),clearInterval(k),g.removeSelectionMarkers(x),x.length||(x=[p.toOrientedRange()]),f&&(g.removeSelectionMarker(f),p.toSingleRange(f));for(var t=0;t<x.length;t++)p.addRange(x[t]);g.inVirtualSelectionMode=!1,g.$mouseHandler.$clickSelection=null}));var k=setInterval((function(){E()}),20);return e.preventDefault()}}}else 0===l&&e.editor.inMultiSelectMode&&e.editor.exitMultiSelectMode()}})),ace.define(\"ace/commands/multi_select_commands\",[\"require\",\"exports\",\"module\",\"ace/keyboard/hash_handler\"],(function(e,t,n){t.defaultCommands=[{name:\"addCursorAbove\",description:\"Add cursor above\",exec:function(e){e.selectMoreLines(-1)},bindKey:{win:\"Ctrl-Alt-Up\",mac:\"Ctrl-Alt-Up\"},scrollIntoView:\"cursor\",readOnly:!0},{name:\"addCursorBelow\",description:\"Add cursor below\",exec:function(e){e.selectMoreLines(1)},bindKey:{win:\"Ctrl-Alt-Down\",mac:\"Ctrl-Alt-Down\"},scrollIntoView:\"cursor\",readOnly:!0},{name:\"addCursorAboveSkipCurrent\",description:\"Add cursor above (skip current)\",exec:function(e){e.selectMoreLines(-1,!0)},bindKey:{win:\"Ctrl-Alt-Shift-Up\",mac:\"Ctrl-Alt-Shift-Up\"},scrollIntoView:\"cursor\",readOnly:!0},{name:\"addCursorBelowSkipCurrent\",description:\"Add cursor below (skip current)\",exec:function(e){e.selectMoreLines(1,!0)},bindKey:{win:\"Ctrl-Alt-Shift-Down\",mac:\"Ctrl-Alt-Shift-Down\"},scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectMoreBefore\",description:\"Select more before\",exec:function(e){e.selectMore(-1)},bindKey:{win:\"Ctrl-Alt-Left\",mac:\"Ctrl-Alt-Left\"},scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectMoreAfter\",description:\"Select more after\",exec:function(e){e.selectMore(1)},bindKey:{win:\"Ctrl-Alt-Right\",mac:\"Ctrl-Alt-Right\"},scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectNextBefore\",description:\"Select next before\",exec:function(e){e.selectMore(-1,!0)},bindKey:{win:\"Ctrl-Alt-Shift-Left\",mac:\"Ctrl-Alt-Shift-Left\"},scrollIntoView:\"cursor\",readOnly:!0},{name:\"selectNextAfter\",description:\"Select next after\",exec:function(e){e.selectMore(1,!0)},bindKey:{win:\"Ctrl-Alt-Shift-Right\",mac:\"Ctrl-Alt-Shift-Right\"},scrollIntoView:\"cursor\",readOnly:!0},{name:\"toggleSplitSelectionIntoLines\",description:\"Split into lines\",exec:function(e){1<e.multiSelect.rangeCount?e.multiSelect.joinSelections():e.multiSelect.splitIntoLines()},bindKey:{win:\"Ctrl-Alt-L\",mac:\"Ctrl-Alt-L\"},readOnly:!0},{name:\"splitSelectionIntoLines\",description:\"Split into lines\",exec:function(e){e.multiSelect.splitIntoLines()},readOnly:!0},{name:\"alignCursors\",description:\"Align cursors\",exec:function(e){e.alignCursors()},bindKey:{win:\"Ctrl-Alt-A\",mac:\"Ctrl-Alt-A\"},scrollIntoView:\"cursor\"},{name:\"findAll\",description:\"Find all\",exec:function(e){e.findAll()},bindKey:{win:\"Ctrl-Alt-K\",mac:\"Ctrl-Alt-G\"},scrollIntoView:\"cursor\",readOnly:!0}],t.multiSelectCommands=[{name:\"singleSelection\",description:\"Single selection\",bindKey:\"esc\",exec:function(e){e.exitMultiSelectMode()},scrollIntoView:\"cursor\",readOnly:!0,isAvailable:function(e){return e&&e.inMultiSelectMode}}],e=e(\"../keyboard/hash_handler\").HashHandler,t.keyboardHandler=new e(t.multiSelectCommands)})),ace.define(\"ace/multi_select\",[\"require\",\"exports\",\"module\",\"ace/range_list\",\"ace/range\",\"ace/selection\",\"ace/mouse/multi_select_handler\",\"ace/lib/event\",\"ace/lib/lang\",\"ace/commands/multi_select_commands\",\"ace/search\",\"ace/edit_session\",\"ace/editor\",\"ace/config\"],(function(e,t,n){var r=e(\"./range_list\").RangeList,i=e(\"./range\").Range,s=e(\"./selection\").Selection,o=e(\"./mouse/multi_select_handler\").onMouseDown,a=e(\"./lib/event\"),c=e(\"./lib/lang\"),l=e(\"./commands/multi_select_commands\");t.commands=l.defaultCommands.concat(l.multiSelectCommands);var h=new(e(\"./search\").Search),d=e(\"./edit_session\").EditSession;function u(e){var n,r;function i(e){r&&(n.renderer.setMouseCursor(\"\"),r=!1)}e.$multiselectOnSessionChange||(e.$onAddRange=e.$onAddRange.bind(e),e.$onRemoveRange=e.$onRemoveRange.bind(e),e.$onMultiSelect=e.$onMultiSelect.bind(e),e.$onSingleSelect=e.$onSingleSelect.bind(e),e.$multiselectOnSessionChange=t.onSessionChange.bind(e),e.$checkMultiselectChange=e.$checkMultiselectChange.bind(e),e.$multiselectOnSessionChange(e),e.on(\"changeSession\",e.$multiselectOnSessionChange),e.on(\"mousedown\",o),e.commands.addCommands(l.defaultCommands),(n=e).textInput&&(e=n.textInput.getElement(),r=!1,a.addListener(e,\"keydown\",(function(e){e=18==e.keyCode&&!(e.ctrlKey||e.shiftKey||e.metaKey),n.$blockSelectEnabled&&e?r||(n.renderer.setMouseCursor(\"crosshair\"),r=!0):r&&i()}),n),a.addListener(e,\"keyup\",i,n),a.addListener(e,\"blur\",i,n)))}(function(){this.getSelectionMarkers=function(){return this.$selectionMarkers}}).call(d.prototype),(function(){this.ranges=null,this.rangeList=null,this.addRange=function(e,t){if(e){if(!this.inMultiSelectMode&&0===this.rangeCount){var n=this.toOrientedRange();if(this.rangeList.add(n),this.rangeList.add(e),2!=this.rangeList.ranges.length)return this.rangeList.removeAll(),t||this.fromOrientedRange(e);this.rangeList.removeAll(),this.rangeList.add(n),this.$onAddRange(n)}return e.cursor||(e.cursor=e.end),n=this.rangeList.add(e),this.$onAddRange(e),n.length&&this.$onRemoveRange(n),1<this.rangeCount&&!this.inMultiSelectMode&&(this._signal(\"multiSelect\"),this.inMultiSelectMode=!0,this.session.$undoSelect=!1,this.rangeList.attach(this.session)),t||this.fromOrientedRange(e)}},this.toSingleRange=function(e){e=e||this.ranges[0];var t=this.rangeList.removeAll();t.length&&this.$onRemoveRange(t),e&&this.fromOrientedRange(e)},this.substractPoint=function(e){if(e=this.rangeList.substractPoint(e))return this.$onRemoveRange(e),e[0]},this.mergeOverlappingRanges=function(){var e=this.rangeList.merge();e.length&&this.$onRemoveRange(e)},this.$onAddRange=function(e){this.rangeCount=this.rangeList.ranges.length,this.ranges.unshift(e),this._signal(\"addRange\",{range:e})},this.$onRemoveRange=function(e){var t;this.rangeCount=this.rangeList.ranges.length,1==this.rangeCount&&this.inMultiSelectMode&&(t=this.rangeList.ranges.pop(),e.push(t),this.rangeCount=0);for(var n=e.length;n--;){var r=this.ranges.indexOf(e[n]);this.ranges.splice(r,1)}this._signal(\"removeRange\",{ranges:e}),0===this.rangeCount&&this.inMultiSelectMode&&(this.inMultiSelectMode=!1,this._signal(\"singleSelect\"),this.session.$undoSelect=!0,this.rangeList.detach(this.session)),(t=t||this.ranges[0])&&!t.isEqual(this.getRange())&&this.fromOrientedRange(t)},this.$initRangeList=function(){this.rangeList||(this.rangeList=new r,this.ranges=[],this.rangeCount=0)},this.getAllRanges=function(){return this.rangeCount?this.rangeList.ranges.concat():[this.getRange()]},this.splitIntoLines=function(){for(var e=this.ranges.length?this.ranges:[this.getRange()],t=[],n=0;n<e.length;n++){var r=e[n],s=r.start.row,o=r.end.row;if(s===o)t.push(r.clone());else{for(t.push(new i(s,r.start.column,s,this.session.getLine(s).length));++s<o;)t.push(this.getLineRange(s,!0));t.push(new i(o,0,o,r.end.column))}0!=n||this.isBackwards()||(t=t.reverse())}for(this.toSingleRange(),n=t.length;n--;)this.addRange(t[n])},this.joinSelections=function(){var e=(t=this.rangeList.ranges)[t.length-1],t=i.fromPoints(t[0].start,e.end);this.toSingleRange(),this.setSelectionRange(t,e.cursor==e.start)},this.toggleBlockSelection=function(){var e,t;1<this.rangeCount?(t=(e=this.rangeList.ranges)[e.length-1],e=i.fromPoints(e[0].start,t.end),this.toSingleRange(),this.setSelectionRange(e,t.cursor==t.start)):(e=this.session.documentToScreenPosition(this.cursor),t=this.session.documentToScreenPosition(this.anchor),this.rectangularRangeBlock(e,t).forEach(this.addRange,this))},this.rectangularRangeBlock=function(e,t,n){var r,s,o,a,c=[],l=e.column<t.column;a=l?(r=e.column,s=t.column,o=e.offsetX,t.offsetX):(r=t.column,s=e.column,o=t.offsetX,e.offsetX);var h,d,u,f=e.row<t.row;d=f?(h=e.row,t.row):(h=t.row,e.row),r<0&&(r=0),h<0&&(h=0),h==d&&(n=!0);for(var g,p,m=h;m<=d;m++){var C=i.fromPoints(this.session.screenToDocumentPosition(m,r,o),this.session.screenToDocumentPosition(m,s,a));if(C.isEmpty()){if(u&&(g=C.end).row==(p=u).row&&g.column==p.column)break;u=C.end}C.cursor=l?C.start:C.end,c.push(C)}if(f&&c.reverse(),!n){for(var b=c.length-1;c[b].isEmpty()&&0<b;)b--;if(0<b)for(var v=0;c[v].isEmpty();)v++;for(var I=b;v<=I;I--)c[I].isEmpty()&&c.splice(I,1)}return c}}).call(s.prototype),d=e(\"./editor\").Editor,(function(){this.updateSelectionMarkers=function(){this.renderer.updateCursor(),this.renderer.updateBackMarkers()},this.addSelectionMarker=function(e){e.cursor||(e.cursor=e.end);var t=this.getSelectionStyle();return e.marker=this.session.addMarker(e,\"ace_selection\",t),this.session.$selectionMarkers.push(e),this.session.selectionMarkerCount=this.session.$selectionMarkers.length,e},this.removeSelectionMarker=function(e){e.marker&&(this.session.removeMarker(e.marker),-1!=(e=this.session.$selectionMarkers.indexOf(e))&&this.session.$selectionMarkers.splice(e,1),this.session.selectionMarkerCount=this.session.$selectionMarkers.length)},this.removeSelectionMarkers=function(e){for(var t=this.session.$selectionMarkers,n=e.length;n--;){var r=e[n];r.marker&&(this.session.removeMarker(r.marker),-1!=(r=t.indexOf(r))&&t.splice(r,1))}this.session.selectionMarkerCount=t.length},this.$onAddRange=function(e){this.addSelectionMarker(e.range),this.renderer.updateCursor(),this.renderer.updateBackMarkers()},this.$onRemoveRange=function(e){this.removeSelectionMarkers(e.ranges),this.renderer.updateCursor(),this.renderer.updateBackMarkers()},this.$onMultiSelect=function(e){this.inMultiSelectMode||(this.inMultiSelectMode=!0,this.setStyle(\"ace_multiselect\"),this.keyBinding.addKeyboardHandler(l.keyboardHandler),this.commands.setDefaultHandler(\"exec\",this.$onMultiSelectExec),this.renderer.updateCursor(),this.renderer.updateBackMarkers())},this.$onSingleSelect=function(e){this.session.multiSelect.inVirtualMode||(this.inMultiSelectMode=!1,this.unsetStyle(\"ace_multiselect\"),this.keyBinding.removeKeyboardHandler(l.keyboardHandler),this.commands.removeDefaultHandler(\"exec\",this.$onMultiSelectExec),this.renderer.updateCursor(),this.renderer.updateBackMarkers(),this._emit(\"changeSelection\"))},this.$onMultiSelectExec=function(e){var t,n=e.command,r=e.editor;if(r.multiSelect)return n.multiSelectAction?t=\"forEach\"==n.multiSelectAction?r.forEachSelection(n,e.args):\"forEachLine\"==n.multiSelectAction?r.forEachSelection(n,e.args,!0):\"single\"==n.multiSelectAction?(r.exitMultiSelectMode(),n.exec(r,e.args||{})):n.multiSelectAction(r,e.args||{}):(t=n.exec(r,e.args||{}),r.multiSelect.addRange(r.multiSelect.toOrientedRange()),r.multiSelect.mergeOverlappingRanges()),t},this.forEachSelection=function(e,t,n){if(!this.inVirtualSelectionMode){var r,i=n&&n.keepOrder,o=1==n||n&&n.$byLines,a=this.session,c=this.selection,l=(n=c.rangeList,(i?c:n).ranges);if(!l.length)return e.exec?e.exec(this,t||{}):e(this,t||{});n=c._eventRegistry,c._eventRegistry={};var h=new s(a);this.inVirtualSelectionMode=!0;for(var d=l.length;d--;){if(o)for(;0<d&&l[d].start.row==l[d-1].end.row;)d--;h.fromOrientedRange(l[d]),h.index=d,this.selection=a.selection=h;var u=e.exec?e.exec(this,t||{}):e(this,t||{});r||void 0===u||(r=u),h.toOrientedRange(l[d])}return h.detach(),this.selection=a.selection=c,this.inVirtualSelectionMode=!1,c._eventRegistry=n,c.mergeOverlappingRanges(),c.ranges[0]&&c.fromOrientedRange(c.ranges[0]),c=this.renderer.$scrollAnimation,this.onCursorChange(),this.onSelectionChange(),c&&c.from==c.to&&this.renderer.animateScrolling(c.from),r}},this.exitMultiSelectMode=function(){this.inMultiSelectMode&&!this.inVirtualSelectionMode&&this.multiSelect.toSingleRange()},this.getSelectedText=function(){var e=\"\";if(this.inMultiSelectMode&&!this.inVirtualSelectionMode){for(var t=this.multiSelect.rangeList.ranges,n=[],r=0;r<t.length;r++)n.push(this.session.getTextRange(t[r]));var i=this.session.getDocument().getNewLineCharacter();(e=n.join(i)).length==(n.length-1)*i.length&&(e=\"\")}else this.selection.isEmpty()||(e=this.session.getTextRange(this.getSelectionRange()));return e},this.$checkMultiselectChange=function(e,t){var n;this.inMultiSelectMode&&!this.inVirtualSelectionMode&&(n=this.multiSelect.ranges[0],this.multiSelect.isEmpty()&&t==this.multiSelect.anchor||((n=t==this.multiSelect.anchor?n.cursor==n.start?n.end:n.start:n.cursor).row!=t.row||this.session.$clipPositionToDocument(n.row,n.column).column!=t.column?this.multiSelect.toSingleRange(this.multiSelect.toOrientedRange()):this.multiSelect.mergeOverlappingRanges()))},this.findAll=function(e,t,n){var r;(t=t||{}).needle=e||t.needle,null==t.needle&&(r=this.selection.isEmpty()?this.selection.getWordRange():this.selection.getRange(),t.needle=this.session.getTextRange(r)),this.$search.set(t);var i=this.$search.findAll(this.session);if(!i.length)return 0;var s=this.multiSelect;n||s.toSingleRange(i[0]);for(var o=i.length;o--;)s.addRange(i[o],!0);return r&&s.rangeList.rangeAtPoint(r.start)&&s.addRange(r,!0),i.length},this.selectMoreLines=function(e,t){var n=this.selection.toOrientedRange(),r=n.cursor==n.end,s=this.session.documentToScreenPosition(n.cursor);this.selection.$desiredColumn&&(s.column=this.selection.$desiredColumn);var o,a,c,l=this.session.screenToDocumentPosition(s.row+e,s.column);o=n.isEmpty()?l:(o=this.session.documentToScreenPosition(r?n.end:n.start),this.session.screenToDocumentPosition(o.row+e,o.column)),r?(a=i.fromPoints(l,o)).cursor=a.start:(a=i.fromPoints(o,l)).cursor=a.end,a.desiredColumn=s.column,this.selection.inMultiSelectMode?t&&(c=n.cursor):this.selection.addRange(n),this.selection.addRange(a),c&&this.selection.substractPoint(c)},this.transposeSelections=function(e){for(var t=this.session,n=t.multiSelect,r=n.ranges,i=r.length;i--;)(o=r[i]).isEmpty()&&(a=t.getWordRange(o.start.row,o.start.column),o.start.row=a.start.row,o.start.column=a.start.column,o.end.row=a.end.row,o.end.column=a.end.column);n.mergeOverlappingRanges();var s=[];for(i=r.length;i--;){var o=r[i];s.unshift(t.getTextRange(o))}for(e<0?s.unshift(s.pop()):s.push(s.shift()),i=r.length;i--;){var a=(o=r[i]).clone();t.replace(o,s[i]),o.start.row=a.start.row,o.start.column=a.start.column}n.fromOrientedRange(n.ranges[0])},this.selectMore=function(e,t,n){var r,i=this.session,s=i.multiSelect.toOrientedRange();s.isEmpty()&&((s=i.getWordRange(s.start.row,s.start.column)).cursor=-1==e?s.start:s.end,this.multiSelect.addRange(s),n)||(r=i.getTextRange(s),n=i,i=r,r=e,h.$options.wrap=!0,h.$options.needle=i,h.$options.backwards=-1==r,(n=h.find(n))&&(n.cursor=-1==e?n.start:n.end,this.session.unfold(n),this.multiSelect.addRange(n),this.renderer.scrollCursorIntoView(null,.5)),t&&this.multiSelect.substractPoint(s.cursor))},this.alignCursors=function(){var e=this.session,t=e.multiSelect,n=t.ranges,r=-1,s=n.filter((function(e){return e.cursor.row==r||void(r=e.cursor.row)}));if(n.length&&s.length!=n.length-1){s.forEach((function(e){t.substractPoint(e.cursor)}));var o=0,a=1/0,l=n.map((function(t){var n=t.cursor;return-1==(t=e.getLine(n.row).substr(n.column).search(/\\S/g))&&(t=0),n.column>o&&(o=n.column),t<a&&(a=t),t}));n.forEach((function(t,n){var r=t.cursor,s=o-r.column;(n=l[n]-a)<s?e.insert(r,c.stringRepeat(\" \",s-n)):e.remove(new i(r.row,r.column,r.row,r.column-s+n)),t.start.column=t.end.column=o,t.start.row=t.end.row=r.row,t.cursor=t.end})),t.fromOrientedRange(n[0]),this.renderer.updateCursor(),this.renderer.updateBackMarkers()}else{var h=this.selection.getRange(),d=h.start.row,u=h.end.row;if(s=d==u){for(var f,g=this.session.getLength();f=this.session.getLine(u),/[=:]/.test(f)&&++u<g;);for(;f=this.session.getLine(d),/[=:]/.test(f)&&0<--d;);d<0&&(d=0),g<=u&&(u=g-1)}n=this.session.removeFullLines(d,u),n=this.$reAlignText(n,s),this.session.insert({row:d,column:0},n.join(\"\\n\")+\"\\n\"),s||(h.start.column=0,h.end.column=n[n.length-1].length),this.selection.setRange(h)}},this.$reAlignText=function(e,t){var n,r,i,s=!0,o=!0;return e.map((function(e){var t=e.match(/(\\s*)(.*?)(\\s*)([=:].*)/);return t?(null==n?(n=t[1].length,r=t[2].length,i=t[3].length):(n+r+i!=t[1].length+t[2].length+t[3].length&&(o=!1),n!=t[1].length&&(s=!1),n>t[1].length&&(n=t[1].length),r<t[2].length&&(r=t[2].length),i>t[3].length&&(i=t[3].length)),t):[e]})).map(t?l:s?o?function(e){return e[2]?a(n+r-e[2].length)+e[2]+a(i)+e[4].replace(/^([=:])\\s+/,\"$1 \"):e[0]}:l:function(e){return e[2]?a(n)+e[2]+a(i)+e[4].replace(/^([=:])\\s+/,\"$1 \"):e[0]});function a(e){return c.stringRepeat(\" \",e)}function l(e){return e[2]?a(n)+e[2]+a(r-e[2].length+i)+e[4].replace(/^([=:])\\s+/,\"$1 \"):e[0]}}}).call(d.prototype),t.onSessionChange=function(e){var t=e.session;t&&!t.multiSelect&&(t.$selectionMarkers=[],t.selection.$initRangeList(),t.multiSelect=t.selection),this.multiSelect=t&&t.multiSelect,(e=e.oldSession)&&(e.multiSelect.off(\"addRange\",this.$onAddRange),e.multiSelect.off(\"removeRange\",this.$onRemoveRange),e.multiSelect.off(\"multiSelect\",this.$onMultiSelect),e.multiSelect.off(\"singleSelect\",this.$onSingleSelect),e.multiSelect.lead.off(\"change\",this.$checkMultiselectChange),e.multiSelect.anchor.off(\"change\",this.$checkMultiselectChange)),t&&(t.multiSelect.on(\"addRange\",this.$onAddRange),t.multiSelect.on(\"removeRange\",this.$onRemoveRange),t.multiSelect.on(\"multiSelect\",this.$onMultiSelect),t.multiSelect.on(\"singleSelect\",this.$onSingleSelect),t.multiSelect.lead.on(\"change\",this.$checkMultiselectChange),t.multiSelect.anchor.on(\"change\",this.$checkMultiselectChange)),t&&this.inMultiSelectMode!=t.selection.inMultiSelectMode&&(t.selection.inMultiSelectMode?this.$onMultiSelect():this.$onSingleSelect())},t.MultiSelect=u,e(\"./config\").defineOptions(d.prototype,\"editor\",{enableMultiselect:{set:function(e){u(this),e?(this.on(\"changeSession\",this.$multiselectOnSessionChange),this.on(\"mousedown\",o)):(this.off(\"changeSession\",this.$multiselectOnSessionChange),this.off(\"mousedown\",o))},value:!0},enableBlockSelect:{set:function(e){this.$blockSelectEnabled=e},value:!0}})})),ace.define(\"ace/mode/folding/fold_mode\",[\"require\",\"exports\",\"module\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"../../range\").Range;t=t.FoldMode=function(){},(function(){this.foldingStartMarker=null,this.foldingStopMarker=null,this.getFoldWidget=function(e,t,n){return n=e.getLine(n),this.foldingStartMarker.test(n)?\"start\":\"markbeginend\"==t&&this.foldingStopMarker&&this.foldingStopMarker.test(n)?\"end\":\"\"},this.getFoldWidgetRange=function(e,t,n){return null},this.indentationBlock=function(e,t,n){var i=/\\S/,s=e.getLine(t),o=s.search(i);if(-1!=o){for(var a=n||s.length,c=e.getLength(),l=(n=t,t);++t<c;){var h=e.getLine(t).search(i);if(-1!=h){if(h<=o&&(!(h=e.getTokenAt(t,0))||\"string\"!==h.type))break;l=t}}if(n<l)return s=e.getLine(l).length,new r(n,a,l,s)}},this.openingBracketBlock=function(e,t,n,i,s){if(t=e.$findClosingBracket(t,i={row:n,column:i+1},s))return null==(s=e.foldWidgets[t.row])&&(s=e.getFoldWidget(t.row)),\"start\"==s&&t.row>i.row&&(t.row--,t.column=e.getLine(t.row).length),r.fromPoints(i,t)},this.closingBracketBlock=function(e,t,n,i,s){if(t=e.$findOpeningBracket(t,i={row:n,column:i}))return t.column++,i.column--,r.fromPoints(t,i)}}).call(t.prototype)})),ace.define(\"ace/theme/textmate\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";t.isDark=!1,t.cssClass=\"ace-tm\",t.cssText='.ace-tm .ace_gutter {background: #f0f0f0;color: #333;}.ace-tm .ace_print-margin {width: 1px;background: #e8e8e8;}.ace-tm .ace_fold {background-color: #6B72E6;}.ace-tm {background-color: #FFFFFF;color: black;}.ace-tm .ace_cursor {color: black;}.ace-tm .ace_invisible {color: rgb(191, 191, 191);}.ace-tm .ace_storage,.ace-tm .ace_keyword {color: blue;}.ace-tm .ace_constant {color: rgb(197, 6, 11);}.ace-tm .ace_constant.ace_buildin {color: rgb(88, 72, 246);}.ace-tm .ace_constant.ace_language {color: rgb(88, 92, 246);}.ace-tm .ace_constant.ace_library {color: rgb(6, 150, 14);}.ace-tm .ace_invalid {background-color: rgba(255, 0, 0, 0.1);color: red;}.ace-tm .ace_support.ace_function {color: rgb(60, 76, 114);}.ace-tm .ace_support.ace_constant {color: rgb(6, 150, 14);}.ace-tm .ace_support.ace_type,.ace-tm .ace_support.ace_class {color: rgb(109, 121, 222);}.ace-tm .ace_keyword.ace_operator {color: rgb(104, 118, 135);}.ace-tm .ace_string {color: rgb(3, 106, 7);}.ace-tm .ace_comment {color: rgb(76, 136, 107);}.ace-tm .ace_comment.ace_doc {color: rgb(0, 102, 255);}.ace-tm .ace_comment.ace_doc.ace_tag {color: rgb(128, 159, 191);}.ace-tm .ace_constant.ace_numeric {color: rgb(0, 0, 205);}.ace-tm .ace_variable {color: rgb(49, 132, 149);}.ace-tm .ace_xml-pe {color: rgb(104, 104, 91);}.ace-tm .ace_entity.ace_name.ace_function {color: #0000A2;}.ace-tm .ace_heading {color: rgb(12, 7, 255);}.ace-tm .ace_list {color:rgb(185, 6, 144);}.ace-tm .ace_meta.ace_tag {color:rgb(0, 22, 142);}.ace-tm .ace_string.ace_regex {color: rgb(255, 0, 0)}.ace-tm .ace_marker-layer .ace_selection {background: rgb(181, 213, 255);}.ace-tm.ace_multiselect .ace_selection.ace_start {box-shadow: 0 0 3px 0px white;}.ace-tm .ace_marker-layer .ace_step {background: rgb(252, 255, 0);}.ace-tm .ace_marker-layer .ace_stack {background: rgb(164, 229, 101);}.ace-tm .ace_marker-layer .ace_bracket {margin: -1px 0 0 -1px;border: 1px solid rgb(192, 192, 192);}.ace-tm .ace_marker-layer .ace_active-line {background: rgba(0, 0, 0, 0.07);}.ace-tm .ace_gutter-active-line {background-color : #dcdcdc;}.ace-tm .ace_marker-layer .ace_selected-word {background: rgb(250, 250, 255);border: 1px solid rgb(200, 200, 250);}.ace-tm .ace_indent-guide {background: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAACCAYAAACZgbYnAAAAE0lEQVQImWP4////f4bLly//BwAmVgd1/w11/gAAAABJRU5ErkJggg==\") right repeat-y;}',t.$id=\"ace/theme/textmate\",e(\"../lib/dom\").importCssString(t.cssText,t.cssClass)})),ace.define(\"ace/line_widgets\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\"],(function(e,t,n){\"use strict\";var r=e(\"./lib/dom\");function i(e){this.session=e,(this.session.widgetManager=this).session.getRowLength=this.getRowLength,this.session.$getWidgetScreenLength=this.$getWidgetScreenLength,this.updateOnChange=this.updateOnChange.bind(this),this.renderWidgets=this.renderWidgets.bind(this),this.measureWidgets=this.measureWidgets.bind(this),this.session._changedWidgets=[],this.$onChangeEditor=this.$onChangeEditor.bind(this),this.session.on(\"change\",this.updateOnChange),this.session.on(\"changeFold\",this.updateOnFold),this.session.on(\"changeEditor\",this.$onChangeEditor)}(function(){this.getRowLength=function(e){var t=this.lineWidgets&&this.lineWidgets[e]&&this.lineWidgets[e].rowCount||0;return this.$useWrapMode&&this.$wrapData[e]?this.$wrapData[e].length+1+t:1+t},this.$getWidgetScreenLength=function(){var e=0;return this.lineWidgets.forEach((function(t){t&&t.rowCount&&!t.hidden&&(e+=t.rowCount)})),e},this.$onChangeEditor=function(e){this.attach(e.editor)},this.attach=function(e){e&&e.widgetManager&&e.widgetManager!=this&&e.widgetManager.detach(),this.editor!=e&&(this.detach(),(this.editor=e)&&(e.widgetManager=this,e.renderer.on(\"beforeRender\",this.measureWidgets),e.renderer.on(\"afterRender\",this.renderWidgets)))},this.detach=function(e){var t=this.editor;t&&(this.editor=null,t.widgetManager=null,t.renderer.off(\"beforeRender\",this.measureWidgets),t.renderer.off(\"afterRender\",this.renderWidgets),(t=this.session.lineWidgets)&&t.forEach((function(e){e&&e.el&&e.el.parentNode&&(e._inDocument=!1,e.el.parentNode.removeChild(e.el))})))},this.updateOnFold=function(e,t){var n=t.lineWidgets;if(n&&e.action){for(var r=e.data,i=r.end.row,s=\"add\"==e.action,o=(t=r.start.row)+1;o<i;o++)n[o]&&(n[o].hidden=s);n[i]&&(s?n[t]?n[i].hidden=s:n[t]=n[i]:(n[t]==n[i]&&(n[t]=void 0),n[i].hidden=s))}},this.updateOnChange=function(e){var t,n,r,i=this.session.lineWidgets;i&&(0==(r=e.end.row-(t=e.start.row))||(\"remove\"==e.action?(n=i.splice(t+1,r),!i[t]&&n[n.length-1]&&(i[t]=n.pop()),n.forEach((function(e){e&&this.removeLineWidget(e)}),this)):(r=new Array(r),i[t]&&null!=i[t].column&&e.start.column>i[t].column&&t++,r.unshift(t,0),i.splice.apply(i,r)),this.$updateRows()))},this.$updateRows=function(){var e,t=this.session.lineWidgets;t&&(e=!0,t.forEach((function(t,n){if(t)for(e=!1,t.row=n;t.$oldWidget;)t.$oldWidget.row=n,t=t.$oldWidget})),e&&(this.session.lineWidgets=null))},this.$registerLineWidget=function(e){this.session.lineWidgets||(this.session.lineWidgets=new Array(this.session.getLength()));var t=this.session.lineWidgets[e.row];return t&&(e.$oldWidget=t).el&&t.el.parentNode&&(t.el.parentNode.removeChild(t.el),t._inDocument=!1),this.session.lineWidgets[e.row]=e},this.addLineWidget=function(e){if(this.$registerLineWidget(e),e.session=this.session,!this.editor)return e;var t=this.editor.renderer;e.html&&!e.el&&(e.el=r.createElement(\"div\"),e.el.innerHTML=e.html),e.el&&(r.addCssClass(e.el,\"ace_lineWidgetContainer\"),e.el.style.position=\"absolute\",e.el.style.zIndex=5,t.container.appendChild(e.el),e._inDocument=!0,e.coverGutter||(e.el.style.zIndex=3),null==e.pixelHeight&&(e.pixelHeight=e.el.offsetHeight)),null==e.rowCount&&(e.rowCount=e.pixelHeight/t.layerConfig.lineHeight);var n,i=this.session.getFoldAt(e.row,0);return(e.$fold=i)&&(n=this.session.lineWidgets,e.row!=i.end.row||n[i.start.row]?e.hidden=!0:n[i.start.row]=e),this.session._emit(\"changeFold\",{data:{start:{row:e.row}}}),this.$updateRows(),this.renderWidgets(null,t),this.onWidgetChanged(e),e},this.removeLineWidget=function(e){if(e._inDocument=!1,e.session=null,e.el&&e.el.parentNode&&e.el.parentNode.removeChild(e.el),e.editor&&e.editor.destroy)try{e.editor.destroy()}catch(e){}if(this.session.lineWidgets){var t=this.session.lineWidgets[e.row];if(t==e)this.session.lineWidgets[e.row]=e.$oldWidget,e.$oldWidget&&this.onWidgetChanged(e.$oldWidget);else for(;t;){if(t.$oldWidget==e){t.$oldWidget=e.$oldWidget;break}t=t.$oldWidget}}this.session._emit(\"changeFold\",{data:{start:{row:e.row}}}),this.$updateRows()},this.getWidgetsAtRow=function(e){for(var t=this.session.lineWidgets,n=t&&t[e],r=[];n;)r.push(n),n=n.$oldWidget;return r},this.onWidgetChanged=function(e){this.session._changedWidgets.push(e),this.editor&&this.editor.renderer.updateFull()},this.measureWidgets=function(e,t){var n=this.session._changedWidgets,r=t.layerConfig;if(n&&n.length){for(var i=1/0,s=0;s<n.length;s++){var o=n[s];if(o&&o.el&&o.session==this.session){if(!o._inDocument){if(this.session.lineWidgets[o.row]!=o)continue;o._inDocument=!0,t.container.appendChild(o.el)}o.h=o.el.offsetHeight,o.fixedWidth||(o.w=o.el.offsetWidth,o.screenWidth=Math.ceil(o.w/r.characterWidth));var a=o.h/r.lineHeight;o.coverLine&&(a-=this.session.getRowLineCount(o.row))<0&&(a=0),o.rowCount!=a&&(o.rowCount=a,o.row<i&&(i=o.row))}}i!=1/0&&(this.session._emit(\"changeFold\",{data:{start:{row:i}}}),this.session.lineWidgetWidth=null),this.session._changedWidgets=[]}},this.renderWidgets=function(e,t){var n=t.layerConfig,r=this.session.lineWidgets;if(r){for(var i=Math.min(this.firstRow,n.firstRow),s=Math.max(this.lastRow,n.lastRow,r.length);0<i&&!r[i];)i--;this.firstRow=n.firstRow,this.lastRow=n.lastRow,t.$cursorLayer.config=n;for(var o=i;o<=s;o++){var a,c=r[o];c&&c.el&&(c.hidden?c.el.style.top=-100-(c.pixelHeight||0)+\"px\":(c._inDocument||(c._inDocument=!0,t.container.appendChild(c.el)),a=t.$cursorLayer.getPixelPosition({row:o,column:0},!0).top,c.coverLine||(a+=n.lineHeight*this.session.getRowLineCount(c.row)),c.el.style.top=a-n.offset+\"px\",a=c.coverGutter?0:t.gutterWidth,c.fixedWidth||(a-=t.scrollLeft),c.el.style.left=a+\"px\",c.fullWidth&&c.screenWidth&&(c.el.style.minWidth=n.width+2*n.padding+\"px\"),c.el.style.right=c.fixedWidth?t.scrollBar.getWidth()+\"px\":\"\"))}}}}).call(i.prototype),t.LineWidgets=i})),ace.define(\"ace/ext/error_marker\",[\"require\",\"exports\",\"module\",\"ace/line_widgets\",\"ace/lib/dom\",\"ace/range\"],(function(e,t,n){\"use strict\";var r=e(\"../line_widgets\").LineWidgets,i=e(\"../lib/dom\"),s=e(\"../range\").Range;function o(e,t,n){var r=e.getAnnotations().sort(s.comparePoints);if(r.length){var i=function(e,t,n){for(var r=0,i=e.length-1;r<=i;){var s=r+i>>1,o=n(t,e[s]);if(0<o)r=1+s;else{if(!(o<0))return s;i=s-1}}return-(r+1)}(r,{row:t,column:-1},s.comparePoints);i<0&&(i=-i-1),i>=r.length?i=0<n?0:r.length-1:0===i&&n<0&&(i=r.length-1);var o=r[i];if(o&&n){if(o.row===t){for(;(o=r[i+=n])&&o.row===t;);if(!o)return r.slice()}var a=[];for(t=o.row;a[n<0?\"unshift\":\"push\"](o),(o=r[i+=n])&&o.row==t;);return a.length&&a}}}t.showErrorMarker=function(e,t){var n=e.session;n.widgetManager||(n.widgetManager=new r(n),n.widgetManager.attach(e));var s,a=e.getCursorPosition(),c=a.row;if((l=n.widgetManager.getWidgetsAtRow(c).filter((function(e){return\"errorMarker\"==e.type}))[0])?l.destroy():c-=t,t=o(n,c,t))a.column=((d=t[0]).pos&&\"number\"!=typeof d.column?d.pos.sc:d.column)||0,a.row=d.row,s=e.renderer.$gutterLayer.$annotations[a.row];else{if(l)return;s={text:[\"Looks good!\"],className:\"ace_ok\"}}e.session.unfold(a.row),e.selection.moveToPosition(a);var l,h={row:a.row,fixedWidth:!0,coverGutter:!0,el:i.createElement(\"div\"),type:\"errorMarker\"},d=h.el.appendChild(i.createElement(\"div\"));function u(e,t,n){if(0===t&&(\"esc\"===n||\"return\"===n))return h.destroy(),{command:\"null\"}}(l=h.el.appendChild(i.createElement(\"div\"))).className=\"error_widget_arrow \"+s.className,a=e.renderer.$cursorLayer.getPixelPosition(a).left,l.style.left=a+e.renderer.gutterWidth-5+\"px\",h.el.className=\"error_widget_wrapper\",d.className=\"error_widget \"+s.className,d.innerHTML=s.text.join(\"<br>\"),d.appendChild(i.createElement(\"div\")),h.destroy=function(){e.$mouseHandler.isMousePressed||(e.keyBinding.removeKeyboardHandler(u),n.widgetManager.removeLineWidget(h),e.off(\"changeSelection\",h.destroy),e.off(\"changeSession\",h.destroy),e.off(\"mouseup\",h.destroy),e.off(\"change\",h.destroy))},e.keyBinding.addKeyboardHandler(u),e.on(\"changeSelection\",h.destroy),e.on(\"changeSession\",h.destroy),e.on(\"mouseup\",h.destroy),e.on(\"change\",h.destroy),e.session.widgetManager.addLineWidget(h),h.el.onmousedown=e.focus.bind(e),e.renderer.scrollCursorIntoView(null,.5,{bottom:h.el.offsetHeight})},i.importCssString(\"    .error_widget_wrapper {        background: inherit;        color: inherit;        border:none    }    .error_widget {        border-top: solid 2px;        border-bottom: solid 2px;        margin: 5px 0;        padding: 10px 40px;        white-space: pre-wrap;    }    .error_widget.ace_error, .error_widget_arrow.ace_error{        border-color: #ff5a5a    }    .error_widget.ace_warning, .error_widget_arrow.ace_warning{        border-color: #F1D817    }    .error_widget.ace_info, .error_widget_arrow.ace_info{        border-color: #5a5a5a    }    .error_widget.ace_ok, .error_widget_arrow.ace_ok{        border-color: #5aaa5a    }    .error_widget_arrow {        position: absolute;        border: solid 5px;        border-top-color: transparent!important;        border-right-color: transparent!important;        border-left-color: transparent!important;        top: -5px;    }\",\"\")})),ace.define(\"ace/ace\",[\"require\",\"exports\",\"module\",\"ace/lib/fixoldbrowsers\",\"ace/lib/dom\",\"ace/lib/event\",\"ace/range\",\"ace/editor\",\"ace/edit_session\",\"ace/undomanager\",\"ace/virtual_renderer\",\"ace/worker/worker_client\",\"ace/keyboard/hash_handler\",\"ace/placeholder\",\"ace/multi_select\",\"ace/mode/folding/fold_mode\",\"ace/theme/textmate\",\"ace/ext/error_marker\",\"ace/config\"],(function(e,t,r){\"use strict\";e(\"./lib/fixoldbrowsers\");var i=e(\"./lib/dom\"),s=e(\"./lib/event\"),o=e(\"./range\").Range,a=e(\"./editor\").Editor,c=e(\"./edit_session\").EditSession,l=e(\"./undomanager\").UndoManager,h=e(\"./virtual_renderer\").VirtualRenderer;e(\"./worker/worker_client\"),e(\"./keyboard/hash_handler\"),e(\"./placeholder\"),e(\"./multi_select\"),e(\"./mode/folding/fold_mode\"),e(\"./theme/textmate\"),e(\"./ext/error_marker\"),t.config=e(\"./config\"),t.require=e,t.define=n.amdD,t.edit=function(e,n){if(\"string\"==typeof e){var r=e;if(!(e=document.getElementById(r)))throw new Error(\"ace.edit can't find div #\"+r)}if(e&&e.env&&e.env.editor instanceof a)return e.env.editor;var o;r=\"\",e&&/input|textarea/i.test(e.tagName)?(r=(o=e).value,e=i.createElement(\"pre\"),o.parentNode.replaceChild(e,o)):e&&(r=e.textContent,e.innerHTML=\"\");var c={document:r=t.createEditSession(r),editor:n=new a(new h(e),r,n),onResize:n.resize.bind(n,null)};return o&&(c.textarea=o),s.addListener(window,\"resize\",c.onResize),n.on(\"destroy\",(function(){s.removeListener(window,\"resize\",c.onResize),c.editor.container.env=null})),n.container.env=n.env=c,n},t.createEditSession=function(e,t){return(t=new c(e,t)).setUndoManager(new l),t},t.Range=o,t.Editor=a,t.EditSession=c,t.UndoManager=l,t.VirtualRenderer=h,t.version=t.config.version})),ace.require([\"ace/ace\"],(function(t){for(var n in t&&(t.config.init(!0),t.define=ace.define),window.ace||(window.ace=t),t)t.hasOwnProperty(n)&&(window.ace[n]=t[n]);window.ace.default=window.ace,e&&(e.exports=window.ace)}))},3330:function(e,t,n){e=n.nmd(e),ace.define(\"ace/ext/searchbox\",[\"require\",\"exports\",\"module\",\"ace/lib/dom\",\"ace/lib/lang\",\"ace/lib/event\",\"ace/keyboard/hash_handler\",\"ace/lib/keys\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/dom\"),i=e(\"../lib/lang\"),s=e(\"../lib/event\"),o='.ace_search {background-color: #ddd;color: #666;border: 1px solid #cbcbcb;border-top: 0 none;overflow: hidden;margin: 0;padding: 4px 6px 0 4px;position: absolute;top: 0;z-index: 99;white-space: normal;}.ace_search.left {border-left: 0 none;border-radius: 0px 0px 5px 0px;left: 0;}.ace_search.right {border-radius: 0px 0px 0px 5px;border-right: 0 none;right: 0;}.ace_search_form, .ace_replace_form {margin: 0 20px 4px 0;overflow: hidden;line-height: 1.9;}.ace_replace_form {margin-right: 0;}.ace_search_form.ace_nomatch {outline: 1px solid red;}.ace_search_field {border-radius: 3px 0 0 3px;background-color: white;color: black;border: 1px solid #cbcbcb;border-right: 0 none;outline: 0;padding: 0;font-size: inherit;margin: 0;line-height: inherit;padding: 0 6px;min-width: 17em;vertical-align: top;min-height: 1.8em;box-sizing: content-box;}.ace_searchbtn {border: 1px solid #cbcbcb;line-height: inherit;display: inline-block;padding: 0 6px;background: #fff;border-right: 0 none;border-left: 1px solid #dcdcdc;cursor: pointer;margin: 0;position: relative;color: #666;}.ace_searchbtn:last-child {border-radius: 0 3px 3px 0;border-right: 1px solid #cbcbcb;}.ace_searchbtn:disabled {background: none;cursor: default;}.ace_searchbtn:hover {background-color: #eef1f6;}.ace_searchbtn.prev, .ace_searchbtn.next {padding: 0px 0.7em}.ace_searchbtn.prev:after, .ace_searchbtn.next:after {content: \"\";border: solid 2px #888;width: 0.5em;height: 0.5em;border-width:  2px 0 0 2px;display:inline-block;transform: rotate(-45deg);}.ace_searchbtn.next:after {border-width: 0 2px 2px 0 ;}.ace_searchbtn_close {background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAcCAYAAABRVo5BAAAAZ0lEQVR42u2SUQrAMAhDvazn8OjZBilCkYVVxiis8H4CT0VrAJb4WHT3C5xU2a2IQZXJjiQIRMdkEoJ5Q2yMqpfDIo+XY4k6h+YXOyKqTIj5REaxloNAd0xiKmAtsTHqW8sR2W5f7gCu5nWFUpVjZwAAAABJRU5ErkJggg==) no-repeat 50% 0;border-radius: 50%;border: 0 none;color: #656565;cursor: pointer;font: 16px/16px Arial;padding: 0;height: 14px;width: 14px;top: 9px;right: 7px;position: absolute;}.ace_searchbtn_close:hover {background-color: #656565;background-position: 50% 100%;color: white;}.ace_button {margin-left: 2px;cursor: pointer;-webkit-user-select: none;-moz-user-select: none;-o-user-select: none;-ms-user-select: none;user-select: none;overflow: hidden;opacity: 0.7;border: 1px solid rgba(100,100,100,0.23);padding: 1px;box-sizing:    border-box!important;color: black;}.ace_button:hover {background-color: #eee;opacity:1;}.ace_button:active {background-color: #ddd;}.ace_button.checked {border-color: #3399ff;opacity:1;}.ace_search_options{margin-bottom: 3px;text-align: right;-webkit-user-select: none;-moz-user-select: none;-o-user-select: none;-ms-user-select: none;user-select: none;clear: both;}.ace_search_counter {float: left;font-family: arial;padding: 0 8px;}',a=e(\"../keyboard/hash_handler\").HashHandler,c=e(\"../lib/keys\");function l(e,t,n){var i=r.createElement(\"div\");r.buildDom([\"div\",{class:\"ace_search right\"},[\"span\",{action:\"hide\",class:\"ace_searchbtn_close\"}],[\"div\",{class:\"ace_search_form\"},[\"input\",{class:\"ace_search_field\",placeholder:\"Search for\",spellcheck:\"false\"}],[\"span\",{action:\"findPrev\",class:\"ace_searchbtn prev\"},\"\\u200b\"],[\"span\",{action:\"findNext\",class:\"ace_searchbtn next\"},\"\\u200b\"],[\"span\",{action:\"findAll\",class:\"ace_searchbtn\",title:\"Alt-Enter\"},\"All\"]],[\"div\",{class:\"ace_replace_form\"},[\"input\",{class:\"ace_search_field\",placeholder:\"Replace with\",spellcheck:\"false\"}],[\"span\",{action:\"replaceAndFindNext\",class:\"ace_searchbtn\"},\"Replace\"],[\"span\",{action:\"replaceAll\",class:\"ace_searchbtn\"},\"All\"]],[\"div\",{class:\"ace_search_options\"},[\"span\",{action:\"toggleReplace\",class:\"ace_button\",title:\"Toggle Replace mode\",style:\"float:left;margin-top:-2px;padding:0 5px;\"},\"+\"],[\"span\",{class:\"ace_search_counter\"}],[\"span\",{action:\"toggleRegexpMode\",class:\"ace_button\",title:\"RegExp Search\"},\".*\"],[\"span\",{action:\"toggleCaseSensitive\",class:\"ace_button\",title:\"CaseSensitive Search\"},\"Aa\"],[\"span\",{action:\"toggleWholeWords\",class:\"ace_button\",title:\"Whole Word Search\"},\"\\\\b\"],[\"span\",{action:\"searchInSelection\",class:\"ace_button\",title:\"Search In Selection\"},\"S\"]]],i),this.element=i.firstChild,this.setSession=this.setSession.bind(this),this.$init(),this.setEditor(e),r.importCssString(o,\"ace_searchbox\",e.container)}r.importCssString(o,\"ace_searchbox\"),(function(){this.setEditor=function(e){e.searchBox=this,e.renderer.scroller.appendChild(this.element),this.editor=e},this.setSession=function(e){this.searchRange=null,this.$syncOptions(!0)},this.$initElements=function(e){this.searchBox=e.querySelector(\".ace_search_form\"),this.replaceBox=e.querySelector(\".ace_replace_form\"),this.searchOption=e.querySelector(\"[action=searchInSelection]\"),this.replaceOption=e.querySelector(\"[action=toggleReplace]\"),this.regExpOption=e.querySelector(\"[action=toggleRegexpMode]\"),this.caseSensitiveOption=e.querySelector(\"[action=toggleCaseSensitive]\"),this.wholeWordOption=e.querySelector(\"[action=toggleWholeWords]\"),this.searchInput=this.searchBox.querySelector(\".ace_search_field\"),this.replaceInput=this.replaceBox.querySelector(\".ace_search_field\"),this.searchCounter=e.querySelector(\".ace_search_counter\")},this.$init=function(){var e=this.element;this.$initElements(e);var t=this;s.addListener(e,\"mousedown\",(function(e){setTimeout((function(){t.activeInput.focus()}),0),s.stopPropagation(e)})),s.addListener(e,\"click\",(function(e){var n=(e.target||e.srcElement).getAttribute(\"action\");n&&t[n]?t[n]():t.$searchBarKb.commands[n]&&t.$searchBarKb.commands[n].exec(t),s.stopPropagation(e)})),s.addCommandKeyListener(e,(function(e,n,r){r=c.keyCodeToString(r),(r=t.$searchBarKb.findKeyCommand(n,r))&&r.exec&&(r.exec(t),s.stopEvent(e))})),this.$onChange=i.delayedCall((function(){t.find(!1,!1)})),s.addListener(this.searchInput,\"input\",(function(){t.$onChange.schedule(20)})),s.addListener(this.searchInput,\"focus\",(function(){t.activeInput=t.searchInput,t.searchInput.value&&t.highlight()})),s.addListener(this.replaceInput,\"focus\",(function(){t.activeInput=t.replaceInput,t.searchInput.value&&t.highlight()}))},this.$closeSearchBarKb=new a([{bindKey:\"Esc\",name:\"closeSearchBar\",exec:function(e){e.searchBox.hide()}}]),this.$searchBarKb=new a,this.$searchBarKb.bindKeys({\"Ctrl-f|Command-f\":function(e){var t=e.isReplace=!e.isReplace;e.replaceBox.style.display=t?\"\":\"none\",e.replaceOption.checked=!1,e.$syncOptions(),e.searchInput.focus()},\"Ctrl-H|Command-Option-F\":function(e){e.editor.getReadOnly()||(e.replaceOption.checked=!0,e.$syncOptions(),e.replaceInput.focus())},\"Ctrl-G|Command-G\":function(e){e.findNext()},\"Ctrl-Shift-G|Command-Shift-G\":function(e){e.findPrev()},esc:function(e){setTimeout((function(){e.hide()}))},Return:function(e){e.activeInput==e.replaceInput&&e.replace(),e.findNext()},\"Shift-Return\":function(e){e.activeInput==e.replaceInput&&e.replace(),e.findPrev()},\"Alt-Return\":function(e){e.activeInput==e.replaceInput&&e.replaceAll(),e.findAll()},Tab:function(e){(e.activeInput==e.replaceInput?e.searchInput:e.replaceInput).focus()}}),this.$searchBarKb.addCommands([{name:\"toggleRegexpMode\",bindKey:{win:\"Alt-R|Alt-/\",mac:\"Ctrl-Alt-R|Ctrl-Alt-/\"},exec:function(e){e.regExpOption.checked=!e.regExpOption.checked,e.$syncOptions()}},{name:\"toggleCaseSensitive\",bindKey:{win:\"Alt-C|Alt-I\",mac:\"Ctrl-Alt-R|Ctrl-Alt-I\"},exec:function(e){e.caseSensitiveOption.checked=!e.caseSensitiveOption.checked,e.$syncOptions()}},{name:\"toggleWholeWords\",bindKey:{win:\"Alt-B|Alt-W\",mac:\"Ctrl-Alt-B|Ctrl-Alt-W\"},exec:function(e){e.wholeWordOption.checked=!e.wholeWordOption.checked,e.$syncOptions()}},{name:\"toggleReplace\",exec:function(e){e.replaceOption.checked=!e.replaceOption.checked,e.$syncOptions()}},{name:\"searchInSelection\",exec:function(e){e.searchOption.checked=!e.searchRange,e.setSearchRange(e.searchOption.checked&&e.editor.getSelectionRange()),e.$syncOptions()}}]),this.setSearchRange=function(e){(this.searchRange=e)?this.searchRangeMarker=this.editor.session.addMarker(e,\"ace_active-line\"):this.searchRangeMarker&&(this.editor.session.removeMarker(this.searchRangeMarker),this.searchRangeMarker=null)},this.$syncOptions=function(e){r.setCssClass(this.replaceOption,\"checked\",this.searchRange),r.setCssClass(this.searchOption,\"checked\",this.searchOption.checked),this.replaceOption.textContent=this.replaceOption.checked?\"-\":\"+\",r.setCssClass(this.regExpOption,\"checked\",this.regExpOption.checked),r.setCssClass(this.wholeWordOption,\"checked\",this.wholeWordOption.checked),r.setCssClass(this.caseSensitiveOption,\"checked\",this.caseSensitiveOption.checked);var t=this.editor.getReadOnly();this.replaceOption.style.display=t?\"none\":\"\",this.replaceBox.style.display=this.replaceOption.checked&&!t?\"\":\"none\",this.find(!1,!1,e)},this.highlight=function(e){this.editor.session.highlight(e||this.editor.$search.$options.re),this.editor.renderer.updateBackMarkers()},this.find=function(e,t,n){n=!this.editor.find(this.searchInput.value,{skipCurrent:e,backwards:t,wrap:!0,regExp:this.regExpOption.checked,caseSensitive:this.caseSensitiveOption.checked,wholeWord:this.wholeWordOption.checked,preventScroll:n,range:this.searchRange})&&this.searchInput.value,r.setCssClass(this.searchBox,\"ace_nomatch\",n),this.editor._emit(\"findSearchBox\",{match:!n}),this.highlight(),this.updateCounter()},this.updateCounter=function(){var e=this.editor,t=e.$search.$options.re,n=0,r=0;if(t){var i=this.searchRange?e.session.getTextRange(this.searchRange):e.getValue(),s=e.session.doc.positionToIndex(e.selection.anchor);this.searchRange&&(s-=e.session.doc.positionToIndex(this.searchRange.start));for(var o,a=t.lastIndex=0;(o=t.exec(i))&&(n++,(a=o.index)<=s&&r++,!(999<n))&&(o[0]||(t.lastIndex=a+=1,!(a>=i.length))););}this.searchCounter.textContent=r+\" of \"+(999<n?\"999+\":n)},this.findNext=function(){this.find(!0,!1)},this.findPrev=function(){this.find(!0,!0)},this.findAll=function(){var e=!this.editor.findAll(this.searchInput.value,{regExp:this.regExpOption.checked,caseSensitive:this.caseSensitiveOption.checked,wholeWord:this.wholeWordOption.checked})&&this.searchInput.value;r.setCssClass(this.searchBox,\"ace_nomatch\",e),this.editor._emit(\"findSearchBox\",{match:!e}),this.highlight(),this.hide()},this.replace=function(){this.editor.getReadOnly()||this.editor.replace(this.replaceInput.value)},this.replaceAndFindNext=function(){this.editor.getReadOnly()||(this.editor.replace(this.replaceInput.value),this.findNext())},this.replaceAll=function(){this.editor.getReadOnly()||this.editor.replaceAll(this.replaceInput.value)},this.hide=function(){this.active=!1,this.setSearchRange(null),this.editor.off(\"changeSession\",this.setSession),this.element.style.display=\"none\",this.editor.keyBinding.removeKeyboardHandler(this.$closeSearchBarKb),this.editor.focus()},this.show=function(e,t){this.active=!0,this.editor.on(\"changeSession\",this.setSession),this.element.style.display=\"\",this.replaceOption.checked=t,e&&(this.searchInput.value=e),this.searchInput.focus(),this.searchInput.select(),this.editor.keyBinding.addKeyboardHandler(this.$closeSearchBarKb),this.$syncOptions(!0)},this.isFocused=function(){var e=document.activeElement;return e==this.searchInput||e==this.replaceInput}}).call(l.prototype),t.SearchBox=l,t.Search=function(e,t){(e.searchBox||new l(e)).show(e.session.getTextRange(),t)}})),ace.require([\"ace/ext/searchbox\"],(function(t){e&&(e.exports=t)}))},4091:function(e,t,n){e=n.nmd(e),ace.define(\"ace/mode/json_highlight_rules\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/mode/text_highlight_rules\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/oop\"),i=e(\"./text_highlight_rules\").TextHighlightRules;r.inherits(e=function(){this.$rules={start:[{token:\"variable\",regex:'[\"](?:(?:\\\\\\\\.)|(?:[^\"\\\\\\\\]))*?[\"]\\\\s*(?=:)'},{token:\"string\",regex:'\"',next:\"string\"},{token:\"constant.numeric\",regex:\"0[xX][0-9a-fA-F]+\\\\b\"},{token:\"constant.numeric\",regex:\"[+-]?\\\\d+(?:(?:\\\\.\\\\d*)?(?:[eE][+-]?\\\\d+)?)?\\\\b\"},{token:\"constant.language.boolean\",regex:\"(?:true|false)\\\\b\"},{token:\"text\",regex:\"['](?:(?:\\\\\\\\.)|(?:[^'\\\\\\\\]))*?[']\"},{token:\"comment\",regex:\"\\\\/\\\\/.*$\"},{token:\"comment.start\",regex:\"\\\\/\\\\*\",next:\"comment\"},{token:\"paren.lparen\",regex:\"[[({]\"},{token:\"paren.rparen\",regex:\"[\\\\])}]\"},{token:\"text\",regex:\"\\\\s+\"}],string:[{token:\"constant.language.escape\",regex:/\\\\(?:x[0-9a-fA-F]{2}|u[0-9a-fA-F]{4}|[\"\\\\\\/bfnrt])/},{token:\"string\",regex:'\"|$',next:\"start\"},{defaultToken:\"string\"}],comment:[{token:\"comment.end\",regex:\"\\\\*\\\\/\",next:\"start\"},{defaultToken:\"comment\"}]}},i),t.JsonHighlightRules=e})),ace.define(\"ace/mode/matching_brace_outdent\",[\"require\",\"exports\",\"module\",\"ace/range\"],(function(e,t,n){\"use 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i(o,r,n,t.length)}}).call(t.prototype)})),ace.define(\"ace/mode/json\",[\"require\",\"exports\",\"module\",\"ace/lib/oop\",\"ace/mode/text\",\"ace/mode/json_highlight_rules\",\"ace/mode/matching_brace_outdent\",\"ace/mode/behaviour/cstyle\",\"ace/mode/folding/cstyle\",\"ace/worker/worker_client\"],(function(e,t,n){\"use strict\";var r=e(\"../lib/oop\"),i=e(\"./text\").Mode,s=e(\"./json_highlight_rules\").JsonHighlightRules,o=e(\"./matching_brace_outdent\").MatchingBraceOutdent,a=e(\"./behaviour/cstyle\").CstyleBehaviour,c=e(\"./folding/cstyle\").FoldMode,l=e(\"../worker/worker_client\").WorkerClient;r.inherits(e=function(){this.HighlightRules=s,this.$outdent=new o,this.$behaviour=new a,this.foldingRules=new c},i),(function(){this.lineCommentStart=\"//\",this.blockComment={start:\"/*\",end:\"*/\"},this.getNextLineIndent=function(e,t,n){var r=this.$getIndent(t);return\"start\"==e&&t.match(/^.*[\\{\\(\\[]\\s*$/)&&(r+=n),r},this.checkOutdent=function(e,t,n){return 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t}(this),e.formats&&function(e){for(var t in e._opts.formats)e.addFormat(t,e._opts.formats[t])}(this),e.keywords&&function(e){for(var t in e._opts.keywords)e.addKeyword(t,e._opts.keywords[t])}(this),(t=this)._opts.$data&&(r=n(6835),t.addMetaSchema(r,r.$id,!0)),!1!==t._opts.meta&&(r=n(38),t._opts.$data&&(r=h(r,g)),t.addMetaSchema(r,u,!0),t._refs[\"http://json-schema.org/schema\"]=u),\"object\"==typeof e.meta&&this.addMetaSchema(e.meta),e.nullable&&this.addKeyword(\"nullable\",{metaSchema:{type:\"boolean\"}}),function(e){var t=e._opts.schemas;if(t)if(Array.isArray(t))e.addSchema(t);else for(var n in t)e.addSchema(t[n],n)}(this)}function m(e,t){return t=i.normalizeId(t),e._schemas[t]||e._refs[t]||e._fragments[t]}function C(e,t,n){for(var r in t){var i=t[r];i.meta||n&&!n.test(r)||(e._cache.del(i.cacheKey),delete t[r])}}function b(e){return e.$id&&this.logger.warn(\"schema $id ignored\",e.$id),e.id}function v(e){return e.id&&this.logger.warn(\"schema id ignored\",e.id),e.$id}function I(e){if(e.$id&&e.id&&e.$id!=e.id)throw new Error(\"schema $id is different from id\");return e.$id||e.id}function A(e,t){if(e._schemas[t]||e._refs[t])throw new Error('schema with key or id \"'+t+'\" already exists')}function y(){}},5255:function(e){\"use strict\";(e=e.exports=function(){this._cache={}}).prototype.put=function(e,t){this._cache[e]=t},e.prototype.get=function(e){return this._cache[e]},e.prototype.del=function(e){delete this._cache[e]},e.prototype.clear=function(){this._cache={}}},9677:function(e,t,n){\"use strict\";var r=n(5359).MissingRef;e.exports=function e(t,n,i){var s=this;if(\"function\"!=typeof this._opts.loadSchema)throw new Error(\"options.loadSchema should be a function\");\"function\"==typeof n&&(i=n,n=void 0);var o=a(t).then((function(){var e=s._addSchema(t,void 0,n);return e.validate||function t(i){try{return s._compile(i)}catch(e){if(e instanceof r)return function(e){var r=e.missingSchema;if(c(r))throw new Error(\"Schema \"+r+\" is loaded but 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0!==r&&(i=f(r,this._opts.inlineRefs)?r:e.call(this,r,t,void 0,s)),i)}function l(e,t){var n=r.parse(t),i=p(n),s=g(this._getId(e.schema));if(0===Object.keys(e.schema).length||i!==s){var a=C(i);if(\"string\"==typeof(i=this._refs[a]))return(function(e,t,n){var r=l.call(this,e,t);if(r){var i=r.schema;return t=r.baseId,e=r.root,(r=this._getId(i))&&(t=b(t,r)),d.call(this,n,t,i,e)}}).call(this,e,i,n);if(i instanceof o)i.validate||this._compile(i),e=i;else{if(!((i=this._schemas[a])instanceof o))return;if(i.validate||this._compile(i),a==C(t))return{schema:i,root:e,baseId:s};e=i}if(!e.schema)return;s=g(this._getId(e.schema))}return d.call(this,n,s,e.schema,e)}(e.exports=c).normalizeId=C,c.fullPath=g,c.url=b,c.ids=function(e){var t=C(this._getId(e)),n={\"\":t},o={\"\":g(t,!1)},c={},l=this;return a(e,{allKeys:!0},(function(e,t,a,h,d,u,f){if(\"\"!==t){var g=l._getId(e),p=n[h];if(d=o[h]+\"/\"+d,void 0!==f&&(d+=\"/\"+(\"number\"==typeof f?f:s.escapeFragment(f))),\"string\"==typeof g)if(g=p=C(p?r.resolve(p,g):g),\"string\"==typeof(f=l._refs[g])&&(f=l._refs[f]),f&&f.schema){if(!i(e,f.schema))throw new Error('id \"'+g+'\" resolves to more than one schema')}else if(g!=C(d))if(\"#\"==g[0]){if(c[g]&&!i(e,c[g]))throw new Error('id \"'+g+'\" resolves to more than one schema');c[g]=e}else l._refs[g]=d;n[t]=p,o[t]=d}})),c},c.inlineRef=f,c.schema=l;var h=s.toHash([\"properties\",\"patternProperties\",\"enum\",\"dependencies\",\"definitions\"]);function d(e,t,n,r){if(e.fragment=e.fragment||\"\",\"/\"==e.fragment.slice(0,1)){for(var i=e.fragment.split(\"/\"),o=1;o<i.length;o++){var a=i[o];if(a){if(void 0===(n=n[a=s.unescapeFragment(a)]))break;h[a]||((a=this._getId(n))&&(t=b(t,a)),n.$ref&&(a=b(t,n.$ref),(a=l.call(this,r,a))&&(n=a.schema,r=a.root,t=a.baseId)))}}return void 0!==n&&n!==r.schema?{schema:n,root:r,baseId:t}:void 0}}var u=s.toHash([\"type\",\"format\",\"pattern\",\"maxLength\",\"minLength\",\"maxProperties\",\"minProperties\",\"maxItems\",\"minItems\",\"maximum\",\"minimum\",\"uniqueItems\",\"multipleOf\",\"required\",\"enum\"]);function f(e,t){return!1!==t&&(void 0===t||!0===t?function e(t){var n;if(Array.isArray(t)){for(var r=0;r<t.length;r++)if(\"object\"==typeof(n=t[r])&&!e(n))return!1}else for(var i in t){if(\"$ref\"==i)return!1;if(\"object\"==typeof(n=t[i])&&!e(n))return!1}return!0}(e):t?function e(t){var n,r=0;if(Array.isArray(t)){for(var i=0;i<t.length;i++)if(\"object\"==typeof(n=t[i])&&(r+=e(n)),r==1/0)return 1/0}else for(var s in t){if(\"$ref\"==s)return 1/0;if(u[s])r++;else if(\"object\"==typeof(n=t[s])&&(r+=e(n)+1),r==1/0)return 1/0}return r}(e)<=t:void 0)}function g(e,t){return!1!==t&&(e=C(e)),p(r.parse(e))}function p(e){return r.serialize(e).split(\"#\")[0]+\"#\"}var m=/#\\/?$/;function C(e){return e?e.replace(m,\"\"):\"\"}function b(e,t){return t=C(t),r.resolve(e,t)}},742:function(e,t,n){\"use strict\";var r=n(9646),i=n(3724).toHash;e.exports=function(){var e=[{type:\"number\",rules:[{maximum:[\"exclusiveMaximum\"]},{minimum:[\"exclusiveMinimum\"]},\"multipleOf\",\"format\"]},{type:\"string\",rules:[\"maxLength\",\"minLength\",\"pattern\",\"format\"]},{type:\"array\",rules:[\"maxItems\",\"minItems\",\"items\",\"contains\",\"uniqueItems\"]},{type:\"object\",rules:[\"maxProperties\",\"minProperties\",\"required\",\"dependencies\",\"propertyNames\",{properties:[\"additionalProperties\",\"patternProperties\"]}]},{rules:[\"$ref\",\"const\",\"enum\",\"not\",\"anyOf\",\"oneOf\",\"allOf\",\"if\"]}],t=[\"type\",\"$comment\"];return e.all=i(t),e.types=i([\"number\",\"integer\",\"string\",\"array\",\"object\",\"boolean\",\"null\"]),e.forEach((function(n){n.rules=n.rules.map((function(n){var i,s;return\"object\"==typeof n&&(s=n[i=Object.keys(n)[0]],n=i,s.forEach((function(n){t.push(n),e.all[n]=!0}))),t.push(n),e.all[n]={keyword:n,code:r[n],implements:s}})),e.all.$comment={keyword:\"$comment\",code:r.$comment},n.type&&(e.types[n.type]=n)})),e.keywords=i(t.concat([\"$schema\",\"$id\",\"id\",\"$data\",\"$async\",\"title\",\"description\",\"default\",\"definitions\",\"examples\",\"readOnly\",\"writeOnly\",\"contentMediaType\",\"contentEncoding\",\"additionalItems\",\"then\",\"else\"])),e.custom={},e}},4293:function(e,t,n){\"use strict\";var r=n(3724);e.exports=function(e){r.copy(e,this)}},6887:function(e){\"use strict\";e.exports=function(e){for(var t,n=0,r=e.length,i=0;i<r;)n++,55296<=(t=e.charCodeAt(i++))&&t<=56319&&i<r&&56320==(64512&(t=e.charCodeAt(i)))&&i++;return n}},3724:function(e,t,n){\"use strict\";function r(e,t,n,r){var i=r?\" !== \":\" === \",s=r?\" || \":\" && \",o=r?\"!\":\"\",a=r?\"\":\"!\";switch(e){case\"null\":return t+i+\"null\";case\"array\":return o+\"Array.isArray(\"+t+\")\";case\"object\":return\"(\"+o+t+s+\"typeof \"+t+i+'\"object\"'+s+a+\"Array.isArray(\"+t+\"))\";case\"integer\":return\"(typeof \"+t+i+'\"number\"'+s+a+\"(\"+t+\" % 1)\"+s+t+i+t+(n?s+o+\"isFinite(\"+t+\")\":\"\")+\")\";case\"number\":return\"(typeof \"+t+i+'\"'+e+'\"'+(n?s+o+\"isFinite(\"+t+\")\":\"\")+\")\";default:return\"typeof \"+t+i+'\"'+e+'\"'}}e.exports={copy:function(e,t){for(var n in t=t||{},e)t[n]=e[n];return t},checkDataType:r,checkDataTypes:function(e,t,n){if(1===e.length)return r(e[0],t,n,!0);var i,o=\"\";for(i in(e=s(e)).array&&e.object&&(o=e.null?\"(\":\"(!\"+t+\" || \",o+=\"typeof \"+t+' !== \"object\")',delete e.null,delete e.array,delete e.object),e.number&&delete e.integer,e)o+=(o?\" && \":\"\")+r(i,t,n,!0);return o},coerceToTypes:function(e,t){if(!Array.isArray(t))return i[t]?[t]:\"array\"===e&&\"array\"===t?[\"array\"]:void 0;for(var n=[],r=0;r<t.length;r++){var s=t[r];(i[s]||\"array\"===e&&\"array\"===s)&&(n[n.length]=s)}return n.length?n:void 0},toHash:s,getProperty:c,escapeQuotes:l,equal:n(2303),ucs2length:n(6887),varOccurences:function(e,t){return t+=\"[^0-9]\",(t=e.match(new RegExp(t,\"g\")))?t.length:0},varReplace:function(e,t,n){return t+=\"([^0-9])\",n=n.replace(/\\$/g,\"$$$$\"),e.replace(new RegExp(t,\"g\"),n+\"$1\")},schemaHasRules:function(e,t){if(\"boolean\"==typeof e)return!e;for(var n in e)if(t[n])return!0},schemaHasRulesExcept:function(e,t,n){if(\"boolean\"==typeof e)return!e&&\"not\"!=n;for(var r in e)if(r!=n&&t[r])return!0},schemaUnknownRules:function(e,t){if(\"boolean\"!=typeof e)for(var n in e)if(!t[n])return n},toQuotedString:h,getPathExpr:function(e,t,n,r){return f(e,n?\"'/' + \"+t+(r?\"\":\".replace(/~/g, '~0').replace(/\\\\//g, '~1')\"):r?\"'[' + \"+t+\" + ']'\":\"'[\\\\'' + \"+t+\" + '\\\\']'\")},getPath:function(e,t,n){return f(e,t=h(n?\"/\"+g(t):c(t)))},getData:function(e,t,n){var r,i,s;if(\"\"===e)return\"rootData\";if(\"/\"==e[0]){if(!d.test(e))throw new Error(\"Invalid JSON-pointer: \"+e);r=e,i=\"rootData\"}else{if(!(s=e.match(u)))throw new Error(\"Invalid JSON-pointer: \"+e);if(e=+s[1],\"#\"==(r=s[2])){if(t<=e)throw new Error(\"Cannot access property/index \"+e+\" levels up, current level is \"+t);return n[t-e]}if(t<e)throw new Error(\"Cannot access data \"+e+\" levels up, current level is \"+t);if(i=\"data\"+(t-e||\"\"),!r)return i}for(var o=i,a=r.split(\"/\"),l=0;l<a.length;l++){var h=a[l];h&&(o+=\" && \"+(i+=c(p(h))))}return o},unescapeFragment:function(e){return p(decodeURIComponent(e))},unescapeJsonPointer:p,escapeFragment:function(e){return encodeURIComponent(g(e))},escapeJsonPointer:g};var i=s([\"string\",\"number\",\"integer\",\"boolean\",\"null\"]);function s(e){for(var t={},n=0;n<e.length;n++)t[e[n]]=!0;return t}var o=/^[a-z$_][a-z$_0-9]*$/i,a=/'|\\\\/g;function c(e){return\"number\"==typeof e?\"[\"+e+\"]\":o.test(e)?\".\"+e:\"['\"+l(e)+\"']\"}function l(e){return e.replace(a,\"\\\\$&\").replace(/\\n/g,\"\\\\n\").replace(/\\r/g,\"\\\\r\").replace(/\\f/g,\"\\\\f\").replace(/\\t/g,\"\\\\t\")}function h(e){return\"'\"+l(e)+\"'\"}var d=/^\\/(?:[^~]|~0|~1)*$/,u=/^([0-9]+)(#|\\/(?:[^~]|~0|~1)*)?$/;function f(e,t){return'\"\"'==e?t:(e+\" + \"+t).replace(/([^\\\\])' \\+ '/g,\"$1\")}function g(e){return e.replace(/~/g,\"~0\").replace(/\\//g,\"~1\")}function p(e){return e.replace(/~1/g,\"/\").replace(/~0/g,\"~\")}},9394:function(e){\"use strict\";var t=[\"multipleOf\",\"maximum\",\"exclusiveMaximum\",\"minimum\",\"exclusiveMinimum\",\"maxLength\",\"minLength\",\"pattern\",\"additionalItems\",\"maxItems\",\"minItems\",\"uniqueItems\",\"maxProperties\",\"minProperties\",\"required\",\"additionalProperties\",\"enum\",\"format\",\"const\"];e.exports=function(e,n){for(var r=0;r<n.length;r++){e=JSON.parse(JSON.stringify(e));for(var i=n[r].split(\"/\"),s=e,o=1;o<i.length;o++)s=s[i[o]];for(o=0;o<t.length;o++){var a=t[o],c=s[a];c&&(s[a]={anyOf:[c,{$ref:\"https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#\"}]})}}return e}},5868:function(e,t,n){\"use strict\";n=n(38),e.exports={$id:\"https://github.com/ajv-validator/ajv/blob/master/lib/definition_schema.js\",definitions:{simpleTypes:n.definitions.simpleTypes},type:\"object\",dependencies:{schema:[\"validate\"],$data:[\"validate\"],statements:[\"inline\"],valid:{not:{required:[\"macro\"]}}},properties:{type:n.properties.type,schema:{type:\"boolean\"},statements:{type:\"boolean\"},dependencies:{type:\"array\",items:{type:\"string\"}},metaSchema:{type:\"object\"},modifying:{type:\"boolean\"},valid:{type:\"boolean\"},$data:{type:\"boolean\"},async:{type:\"boolean\"},errors:{anyOf:[{type:\"boolean\"},{const:\"full\"}]}}}},1796:function(e){\"use strict\";e.exports=function(e,t,n){var r,i,s,o,a,c,l=\" \",h=e.level,d=e.dataLevel,u=e.schema[t],f=e.schemaPath+e.util.getProperty(t),g=e.errSchemaPath+\"/\"+t,p=!e.opts.allErrors,m=\"data\"+(d||\"\"),C=e.opts.$data&&u&&u.$data,b=C?(l+=\" var schema\"+h+\" = \"+e.util.getData(u.$data,d,e.dataPathArr)+\"; \",\"schema\"+h):u,v=\"maximum\"==t,I=v?\"exclusiveMaximum\":\"exclusiveMinimum\",A=e.schema[I],y=e.opts.$data&&A&&A.$data,w=v?\"<\":\">\",S=v?\">\":\"<\",x=void 0;if(!C&&\"number\"!=typeof u&&void 0!==u)throw new Error(t+\" must be number\");if(!y&&void 0!==A&&\"number\"!=typeof A&&\"boolean\"!=typeof A)throw new Error(I+\" must be number or boolean\");y?(s=\"exclIsNumber\"+h,o=\"' + \"+(a=\"op\"+h)+\" + '\",l+=\" var schemaExcl\"+h+\" = \"+e.util.getData(A.$data,d,e.dataPathArr)+\"; \",x=I,(c=c||[]).push(l+=\" var \"+(i=\"exclusive\"+h)+\"; var \"+(d=\"exclType\"+h)+\" = typeof \"+(r=\"schemaExcl\"+h)+\"; if (\"+d+\" != 'boolean' && \"+d+\" != 'undefined' && \"+d+\" != 'number') { \"),l=\"\",!1!==e.createErrors?(l+=\" { keyword: '\"+(x||\"_exclusiveLimit\")+\"' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(g)+\" , params: {} \",!1!==e.opts.messages&&(l+=\" , message: '\"+I+\" should be boolean' \"),e.opts.verbose&&(l+=\" , schema: validate.schema\"+f+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+m+\" \"),l+=\" } \"):l+=\" {} \",E=l,l=c.pop(),l+=!e.compositeRule&&p?e.async?\" throw new ValidationError([\"+E+\"]); \":\" validate.errors = [\"+E+\"]; return false; \":\" var err = \"+E+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",l+=\" } else if ( \",C&&(l+=\" (\"+b+\" !== undefined && typeof \"+b+\" != 'number') || \"),l+=\" \"+d+\" == 'number' ? ( (\"+i+\" = \"+b+\" === undefined || \"+r+\" \"+w+\"= \"+b+\") ? \"+m+\" \"+S+\"= \"+r+\" : \"+m+\" \"+S+\" \"+b+\" ) : ( (\"+i+\" = \"+r+\" === true) ? \"+m+\" \"+S+\"= \"+b+\" : \"+m+\" \"+S+\" \"+b+\" ) || \"+m+\" !== \"+m+\") { var op\"+h+\" = \"+i+\" ? '\"+w+\"' : '\"+w+\"='; \",void 0===u&&(x=I,g=e.errSchemaPath+\"/\"+I,b=r,C=y)):(o=w,(s=\"number\"==typeof A)&&C?(a=\"'\"+o+\"'\",l+=\" if ( \",C&&(l+=\" (\"+b+\" !== undefined && typeof \"+b+\" != 'number') || \"),l+=\" ( \"+b+\" === undefined || \"+A+\" \"+w+\"= \"+b+\" ? \"+m+\" \"+S+\"= \"+A+\" : \"+m+\" \"+S+\" \"+b+\" ) || \"+m+\" !== \"+m+\") { \"):(s&&void 0===u?(i=!0,x=I,g=e.errSchemaPath+\"/\"+I,b=A,S+=\"=\"):(s&&(b=Math[v?\"min\":\"max\"](A,u)),A===(!s||b)?(i=!0,x=I,g=e.errSchemaPath+\"/\"+I,S+=\"=\"):(i=!1,o+=\"=\")),a=\"'\"+o+\"'\",l+=\" if ( \",C&&(l+=\" (\"+b+\" !== undefined && typeof \"+b+\" != 'number') || \"),l+=\" \"+m+\" \"+S+\" \"+b+\" || \"+m+\" !== \"+m+\") { \")),x=x||t,(c=c||[]).push(l),l=\"\",!1!==e.createErrors?(l+=\" { keyword: '\"+(x||\"_limit\")+\"' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(g)+\" , params: { comparison: \"+a+\", limit: \"+b+\", exclusive: \"+i+\" } \",!1!==e.opts.messages&&(l+=\" , message: 'should be \"+o+\" \",l+=C?\"' + \"+b:b+\"'\"),e.opts.verbose&&(l+=\" , schema:  \",l+=C?\"validate.schema\"+f:\"\"+u,l+=\"         , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+m+\" \"),l+=\" } \"):l+=\" {} \";var E=l;return l=c.pop(),l+=!e.compositeRule&&p?e.async?\" throw new ValidationError([\"+E+\"]); \":\" validate.errors = [\"+E+\"]; return false; \":\" var err = \"+E+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",l+=\" } \",p&&(l+=\" else { \"),l}},2407:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=e.opts.$data&&o&&o.$data;if(s=d?(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \",\"schema\"+i):o,!d&&\"number\"!=typeof o)throw new Error(t+\" must be number\");r+=\"if ( \",d&&(r+=\" (\"+s+\" !== undefined && typeof \"+s+\" != 'number') || \"),i=t;var u=u||[];return u.push(r+=\" \"+h+\".length \"+(\"maxItems\"==t?\">\":\"<\")+\" \"+s+\") { \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: '\"+(i||\"_limitItems\")+\"' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { limit: \"+s+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should NOT have \",r+=\"maxItems\"==t?\"more\":\"fewer\",r+=\" than \",r+=d?\"' + \"+s+\" + '\":\"\"+o,r+=\" items' \"),e.opts.verbose&&(r+=\" , schema:  \",r+=d?\"validate.schema\"+a:\"\"+o,r+=\"         , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=u.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\"} \",l&&(r+=\" else { \"),r}},1250:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=e.opts.$data&&o&&o.$data;if(s=d?(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \",\"schema\"+i):o,!d&&\"number\"!=typeof o)throw new Error(t+\" must be number\");r+=\"if ( \",d&&(r+=\" (\"+s+\" !== undefined && typeof \"+s+\" != 'number') || \"),r+=!1===e.opts.unicode?\" \"+h+\".length \":\" ucs2length(\"+h+\") \",r+=\" \"+(i=\"maxLength\"==t?\">\":\"<\")+\" \"+s+\") { \",i=t;var u=u||[];return u.push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: '\"+(i||\"_limitLength\")+\"' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { limit: \"+s+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should NOT be \",r+=\"maxLength\"==t?\"longer\":\"shorter\",r+=\" than \",r+=d?\"' + \"+s+\" + '\":\"\"+o,r+=\" characters' \"),e.opts.verbose&&(r+=\" , schema:  \",r+=d?\"validate.schema\"+a:\"\"+o,r+=\"         , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=u.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\"} \",l&&(r+=\" else { \"),r}},2596:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=e.opts.$data&&o&&o.$data;if(s=d?(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \",\"schema\"+i):o,!d&&\"number\"!=typeof o)throw new Error(t+\" must be number\");r+=\"if ( \",d&&(r+=\" (\"+s+\" !== undefined && typeof \"+s+\" != 'number') || \"),i=t;var u=u||[];return u.push(r+=\" Object.keys(\"+h+\").length \"+(\"maxProperties\"==t?\">\":\"<\")+\" \"+s+\") { \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: '\"+(i||\"_limitProperties\")+\"' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { limit: \"+s+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should NOT have \",r+=\"maxProperties\"==t?\"more\":\"fewer\",r+=\" than \",r+=d?\"' + \"+s+\" + '\":\"\"+o,r+=\" properties' \"),e.opts.verbose&&(r+=\" , schema:  \",r+=d?\"validate.schema\"+a:\"\"+o,r+=\"         , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=u.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\"} \",l&&(r+=\" else { \"),r}},9486:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.schema[t],s=e.schemaPath+e.util.getProperty(t),o=e.errSchemaPath+\"/\"+t,a=!e.opts.allErrors,c=e.util.copy(e),l=\"\";c.level++;var h=\"valid\"+c.level,d=c.baseId,u=!0,f=i;if(f)for(var g,p=-1,m=f.length-1;p<m;)g=f[p+=1],(e.opts.strictKeywords?\"object\"==typeof g&&0<Object.keys(g).length||!1===g:e.util.schemaHasRules(g,e.RULES.all))&&(u=!1,c.schema=g,c.schemaPath=s+\"[\"+p+\"]\",c.errSchemaPath=o+\"/\"+p,r+=\"  \"+e.validate(c)+\" \",c.baseId=d,a&&(r+=\" if (\"+h+\") { \",l+=\"}\"));return a&&(r+=u?\" if (true) { \":\" \"+l.slice(0,-1)+\" \"),r}},5347:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=(t=\"data\"+(s||\"\"),\"valid\"+i),d=(s=\"errs__\"+i,e.util.copy(e)),u=\"\";d.level++;var f=\"valid\"+d.level;if(o.every((function(t){return e.opts.strictKeywords?\"object\"==typeof t&&0<Object.keys(t).length||!1===t:e.util.schemaHasRules(t,e.RULES.all)}))){var g=d.baseId;r+=\" var \"+s+\" = errors; var \"+h+\" = false;  \",i=e.compositeRule,e.compositeRule=d.compositeRule=!0;var p=o;if(p)for(var m,C=-1,b=p.length-1;C<b;)m=p[C+=1],d.schema=m,d.schemaPath=a+\"[\"+C+\"]\",d.errSchemaPath=c+\"/\"+C,r+=\"  \"+e.validate(d)+\" \",d.baseId=g,r+=\" \"+h+\" = \"+h+\" || \"+f+\"; if (!\"+h+\") { \",u+=\"}\";e.compositeRule=d.compositeRule=i,r+=\" \"+u+\" if (!\"+h+\") {   var err =   \",!1!==e.createErrors?(r+=\" { keyword: 'anyOf' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: {} \",!1!==e.opts.messages&&(r+=\" , message: 'should match some schema in anyOf' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+t+\" \"),r+=\" } \"):r+=\" {} \",r+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",!e.compositeRule&&l&&(r+=e.async?\" throw new ValidationError(vErrors); \":\" validate.errors = vErrors; return false; \"),r+=\" } else {  errors = \"+s+\"; if (vErrors !== null) { if (\"+s+\") vErrors.length = \"+s+\"; else vErrors = null; } \",e.opts.allErrors&&(r+=\" } \")}else l&&(r+=\" if (true) { \");return r}},923:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.schema[t];return t=e.errSchemaPath+\"/\"+t,i=e.util.toQuotedString(i),!0===e.opts.$comment?r+=\" console.log(\"+i+\");\":\"function\"==typeof e.opts.$comment&&(r+=\" self._opts.$comment(\"+i+\", \"+e.util.toQuotedString(t)+\", validate.root.schema);\"),r}},2617:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=\"valid\"+i;(t=e.opts.$data&&o&&o.$data)&&(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \"),t||(r+=\" var schema\"+i+\" = validate.schema\"+a+\";\");var u=u||[];return u.push(r+=\"var \"+d+\" = equal(\"+h+\", schema\"+i+\"); if (!\"+d+\") {   \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'const' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { allowedValue: schema\"+i+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should be equal to constant' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=u.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" }\",l&&(r+=\" else { \"),r}},2119:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=\"valid\"+i,u=\"errs__\"+i,f=e.util.copy(e);f.level++;var g=\"valid\"+f.level,p=\"i\"+i,m=f.dataLevel=e.dataLevel+1;t=\"data\"+m,s=e.baseId,r+=\"var \"+u+\" = errors;var \"+d+\";\",(i=e.opts.strictKeywords?\"object\"==typeof o&&0<Object.keys(o).length||!1===o:e.util.schemaHasRules(o,e.RULES.all))?(d=e.compositeRule,e.compositeRule=f.compositeRule=!0,f.schema=o,f.schemaPath=a,f.errSchemaPath=c,r+=\" var \"+g+\" = false; for (var \"+p+\" = 0; \"+p+\" < \"+h+\".length; \"+p+\"++) { \",f.errorPath=e.util.getPathExpr(e.errorPath,p,e.opts.jsonPointers,!0),o=h+\"[\"+p+\"]\",f.dataPathArr[m]=p,p=e.validate(f),f.baseId=s,e.util.varOccurences(p,t)<2?r+=\" \"+e.util.varReplace(p,t,o)+\" \":r+=\" var \"+t+\" = \"+o+\"; \"+p+\" \",r+=\" if (\"+g+\") break; }  \",e.compositeRule=f.compositeRule=d,r+=\"  if (!\"+g+\") {\"):r+=\" if (\"+h+\".length == 0) {\";var C=C||[];return C.push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'contains' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: {} \",!1!==e.opts.messages&&(r+=\" , message: 'should contain a valid item' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=C.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" } else { \",i&&(r+=\"  errors = \"+u+\"; if (vErrors !== null) { if (\"+u+\") vErrors.length = \"+u+\"; else vErrors = null; } \"),e.opts.allErrors&&(r+=\" } \"),r}},1793:function(e){\"use strict\";e.exports=function(e,t,n){var r,i,s,o,a=\" \",c=e.level,l=e.dataLevel,h=e.schema[t],d=e.schemaPath+e.util.getProperty(t),u=e.errSchemaPath+\"/\"+t,f=!e.opts.allErrors,g=\"data\"+(l||\"\"),p=\"valid\"+c,m=\"errs__\"+c,C=e.opts.$data&&h&&h.$data,b=C?(a+=\" var schema\"+c+\" = \"+e.util.getData(h.$data,l,e.dataPathArr)+\"; \",\"schema\"+c):h,v=\"definition\"+c,I=this.definition,A=\"\";if(C&&I.$data){var y=I.validateSchema;a+=\" var \"+v+\" = RULES.custom['\"+t+\"'].definition; var \"+(o=\"keywordValidate\"+c)+\" = \"+v+\".validate;\"}else{if(!(S=e.useCustomRule(this,h,e.schema,e)))return;b=\"validate.schema\"+d,o=S.code,r=I.compile,i=I.inline,s=I.macro}var w,S,x,E,k,_=o+\".errors\",T=\"i\"+c;if(t=\"ruleErr\"+c,(h=I.async)&&!e.async)throw new Error(\"async keyword in sync schema\");return i||s||(a+=_+\" = null;\"),a+=\"var \"+m+\" = errors;var \"+p+\";\",C&&I.$data&&(A+=\"}\",a+=\" if (\"+b+\" === undefined) { \"+p+\" = true; } else { \",y&&(A+=\"}\",a+=\" \"+p+\" = \"+v+\".validateSchema(\"+b+\"); if (\"+p+\") { \")),i?a+=I.statements?\" \"+S.validate+\" \":\" \"+p+\" = \"+S.validate+\"; \":s?(A=\"\",(y=e.util.copy(e)).level++,w=\"valid\"+y.level,y.schema=S.validate,y.schemaPath=\"\",v=e.compositeRule,e.compositeRule=y.compositeRule=!0,S=e.validate(y).replace(/validate\\.schema/g,o),e.compositeRule=y.compositeRule=v,a+=\" \"+S):((k=k||[]).push(a),a=\"\",a+=\"  \"+o+\".call( \",a+=e.opts.passContext?\"this\":\"self\",a+=r||!1===I.schema?\" , \"+g+\" \":\" , \"+b+\" , \"+g+\" , validate.schema\"+e.schemaPath+\" \",a+=\" , (dataPath || '')\",'\"\"'!=e.errorPath&&(a+=\" + \"+e.errorPath),l=a+=\" , \"+(x=l?\"data\"+(l-1||\"\"):\"parentData\")+\" , \"+(E=l?e.dataPathArr[l]:\"parentDataProperty\")+\" , rootData )  \",a=k.pop(),!1===I.errors?(a+=\" \"+p+\" = \",h&&(a+=\"await \"),a+=l+\"; \"):a+=h?\" var \"+(_=\"customErrors\"+c)+\" = null; try { \"+p+\" = await \"+l+\"; } catch (e) { \"+p+\" = false; if (e instanceof ValidationError) \"+_+\" = e.errors; else throw e; } \":\" \"+_+\" = null; \"+p+\" = \"+l+\"; \"),I.modifying&&(a+=\" if (\"+x+\") \"+g+\" = \"+x+\"[\"+E+\"];\"),a+=\"\"+A,I.valid?f&&(a+=\" if (true) { \"):(a+=\" if ( \",void 0===I.valid?(a+=\" !\",a+=s?\"\"+w:p):a+=\" \"+!I.valid+\" \",w=this.keyword,(k=k||[]).push(a+=\") { \"),(k=k||[]).push(a=\"\"),a=\"\",!1!==e.createErrors?(a+=\" { keyword: '\"+(w||\"custom\")+\"' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(u)+\" , params: { keyword: '\"+this.keyword+\"' } \",!1!==e.opts.messages&&(a+=\" , message: 'should pass \\\"\"+this.keyword+\"\\\" keyword validation' \"),e.opts.verbose&&(a+=\" , schema: validate.schema\"+d+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+g+\" \"),a+=\" } \"):a+=\" {} \",p=a,a=k.pop(),p=a+=!e.compositeRule&&f?e.async?\" throw new ValidationError([\"+p+\"]); \":\" validate.errors = [\"+p+\"]; return false; \":\" var err = \"+p+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",a=k.pop(),i?I.errors?\"full\"!=I.errors&&(a+=\"  for (var \"+T+\"=\"+m+\"; \"+T+\"<errors; \"+T+\"++) { var \"+t+\" = vErrors[\"+T+\"]; if (\"+t+\".dataPath === undefined) \"+t+\".dataPath = (dataPath || '') + \"+e.errorPath+\"; if (\"+t+\".schemaPath === undefined) { \"+t+'.schemaPath = \"'+u+'\"; } ',e.opts.verbose&&(a+=\" \"+t+\".schema = \"+b+\"; \"+t+\".data = \"+g+\"; \"),a+=\" } \"):!1===I.errors?a+=\" \"+p+\" \":(a+=\" if (\"+m+\" == errors) { \"+p+\" } else {  for (var \"+T+\"=\"+m+\"; \"+T+\"<errors; \"+T+\"++) { var \"+t+\" = vErrors[\"+T+\"]; if (\"+t+\".dataPath === undefined) \"+t+\".dataPath = (dataPath || '') + \"+e.errorPath+\"; if (\"+t+\".schemaPath === undefined) { \"+t+'.schemaPath = \"'+u+'\"; } ',e.opts.verbose&&(a+=\" \"+t+\".schema = \"+b+\"; \"+t+\".data = \"+g+\"; \"),a+=\" } } \"):s?(a+=\"   var err =   \",!1!==e.createErrors?(a+=\" { keyword: '\"+(w||\"custom\")+\"' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(u)+\" , params: { keyword: '\"+this.keyword+\"' } \",!1!==e.opts.messages&&(a+=\" , message: 'should pass \\\"\"+this.keyword+\"\\\" keyword validation' \"),e.opts.verbose&&(a+=\" , schema: validate.schema\"+d+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+g+\" \"),a+=\" } \"):a+=\" {} \",a+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",!e.compositeRule&&f&&(a+=e.async?\" throw new ValidationError(vErrors); \":\" validate.errors = vErrors; return false; \")):!1===I.errors?a+=\" \"+p+\" \":(a+=\" if (Array.isArray(\"+_+\")) { if (vErrors === null) vErrors = \"+_+\"; else vErrors = vErrors.concat(\"+_+\"); errors = vErrors.length;  for (var \"+T+\"=\"+m+\"; \"+T+\"<errors; \"+T+\"++) { var \"+t+\" = vErrors[\"+T+\"]; if (\"+t+\".dataPath === undefined) \"+t+\".dataPath = (dataPath || '') + \"+e.errorPath+\";  \"+t+'.schemaPath = \"'+u+'\";  ',e.opts.verbose&&(a+=\" \"+t+\".schema = \"+b+\"; \"+t+\".data = \"+g+\"; \"),a+=\" } } else { \"+p+\" } \"),a+=\" } \",f&&(a+=\" else { \")),a}},9115:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=(s=\"errs__\"+i,e.util.copy(e)),u=\"\";d.level++;var f,g=\"valid\"+d.level,p={},m={},C=e.opts.ownProperties;for(B in o)\"__proto__\"!=B&&(L=o[B],(f=Array.isArray(L)?m:p)[B]=L);r+=\"var \"+s+\" = errors;\";var b=e.errorPath;for(B in r+=\"var missing\"+i+\";\",m)if((f=m[B]).length){if(r+=\" if ( \"+h+e.util.getProperty(B)+\" !== undefined \",C&&(r+=\" && Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(B)+\"') \"),l){r+=\" && ( \";var v=f;if(v)for(var I=-1,A=v.length-1;I<A;)E=v[I+=1],I&&(r+=\" || \"),r+=\" ( ( \"+(R=h+(T=e.util.getProperty(E)))+\" === undefined \",C&&(r+=\" || ! Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(E)+\"') \"),r+=\") && (missing\"+i+\" = \"+e.util.toQuotedString(e.opts.jsonPointers?E:T)+\") ) \";r+=\")) {  \";var y=\"missing\"+i,w=\"' + \"+y+\" + '\";e.opts._errorDataPathProperty&&(e.errorPath=e.opts.jsonPointers?e.util.getPathExpr(b,y,!0):b+\" + \"+y);var S=S||[];S.push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'dependencies' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { property: '\"+e.util.escapeQuotes(B)+\"', missingProperty: '\"+w+\"', depsCount: \"+f.length+\", deps: '\"+e.util.escapeQuotes(1==f.length?f[0]:f.join(\", \"))+\"' } \",!1!==e.opts.messages&&(r+=\" , message: 'should have \",r+=1==f.length?\"property \"+e.util.escapeQuotes(f[0]):\"properties \"+e.util.escapeQuotes(f.join(\", \")),r+=\" when property \"+e.util.escapeQuotes(B)+\" is present' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",y=r,r=S.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+y+\"]); \":\" validate.errors = [\"+y+\"]; return false; \":\" var err = \"+y+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \"}else{r+=\" ) { \";var x=f;if(x)for(var E,k=-1,_=x.length-1;k<_;){E=x[k+=1];var T=e.util.getProperty(E),R=(w=e.util.escapeQuotes(E),h+T);e.opts._errorDataPathProperty&&(e.errorPath=e.util.getPath(b,E,e.opts.jsonPointers)),r+=\" if ( \"+R+\" === undefined \",C&&(r+=\" || ! Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(E)+\"') \"),r+=\") {  var err =   \",!1!==e.createErrors?(r+=\" { keyword: 'dependencies' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { property: '\"+e.util.escapeQuotes(B)+\"', missingProperty: '\"+w+\"', depsCount: \"+f.length+\", deps: '\"+e.util.escapeQuotes(1==f.length?f[0]:f.join(\", \"))+\"' } \",!1!==e.opts.messages&&(r+=\" , message: 'should have \",r+=1==f.length?\"property \"+e.util.escapeQuotes(f[0]):\"properties \"+e.util.escapeQuotes(f.join(\", \")),r+=\" when property \"+e.util.escapeQuotes(B)+\" is present' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",r+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; } \"}}r+=\" }   \",l&&(u+=\"}\",r+=\" else { \")}e.errorPath=b;var B,O=d.baseId;for(B in p){var L=p[B];(e.opts.strictKeywords?\"object\"==typeof L&&0<Object.keys(L).length||!1===L:e.util.schemaHasRules(L,e.RULES.all))&&(r+=\" \"+g+\" = true; if ( \"+h+e.util.getProperty(B)+\" !== undefined \",C&&(r+=\" && Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(B)+\"') \"),r+=\") { \",d.schema=L,d.schemaPath=a+e.util.getProperty(B),d.errSchemaPath=c+\"/\"+e.util.escapeFragment(B),r+=\"  \"+e.validate(d)+\" \",d.baseId=O,r+=\" }  \",l&&(r+=\" if (\"+g+\") { \",u+=\"}\"))}return l&&(r+=\"   \"+u+\" if (\"+s+\" == errors) {\"),r}},9317:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=\"valid\"+i;(t=e.opts.$data&&o&&o.$data)&&(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \"),o=\"schema\"+i,t||(r+=\" var \"+o+\" = validate.schema\"+a+\";\"),r+=\"var \"+d+\";\",t&&(r+=\" if (schema\"+i+\" === undefined) \"+d+\" = true; else if (!Array.isArray(schema\"+i+\")) \"+d+\" = false; else {\"),r+=d+\" = false;for (var \"+(s=\"i\"+i)+\"=0; \"+s+\"<\"+o+\".length; \"+s+\"++) if (equal(\"+h+\", \"+o+\"[\"+s+\"])) { \"+d+\" = true; break; }\",t&&(r+=\"  }  \");var u=u||[];return u.push(r+=\" if (!\"+d+\") {   \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'enum' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { allowedValues: schema\"+i+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should be equal to one of the allowed values' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=u.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" }\",l&&(r+=\" else { \"),r}},8327:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\");if(!1===e.opts.format)return l&&(r+=\" if (true) { \"),r;var d,u=e.opts.$data&&o&&o.$data,f=u?(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \",\"schema\"+i):o;if(t=e.opts.unknownFormats,s=Array.isArray(t),u)r+=\" var \"+(d=\"format\"+i)+\" = formats[\"+f+\"]; var \"+(g=\"isObject\"+i)+\" = typeof \"+d+\" == 'object' && !(\"+d+\" instanceof RegExp) && \"+d+\".validate; var \"+(m=\"formatType\"+i)+\" = \"+g+\" && \"+d+\".type || 'string'; if (\"+g+\") { \",e.async&&(r+=\" var async\"+i+\" = \"+d+\".async; \"),r+=\" \"+d+\" = \"+d+\".validate; } if (  \",u&&(r+=\" (\"+f+\" !== undefined && typeof \"+f+\" != 'string') || \"),r+=\" (\",\"ignore\"!=t&&(r+=\" (\"+f+\" && !\"+d+\" \",s&&(r+=\" && self._opts.unknownFormats.indexOf(\"+f+\") == -1 \"),r+=\") || \"),r+=\" (\"+d+\" && \"+m+\" == '\"+n+\"' && !(typeof \"+d+\" == 'function' ? \",r+=e.async?\" (async\"+i+\" ? await \"+d+\"(\"+h+\") : \"+d+\"(\"+h+\")) \":\" \"+d+\"(\"+h+\") \",r+=\" : \"+d+\".test(\"+h+\"))))) {\";else{if(!(d=e.formats[o])){if(\"ignore\"==t)return e.logger.warn('unknown format \"'+o+'\" ignored in schema at path \"'+e.errSchemaPath+'\"'),l&&(r+=\" if (true) { \"),r;if(s&&0<=t.indexOf(o))return l&&(r+=\" if (true) { \"),r;throw new Error('unknown format \"'+o+'\" is used in schema at path \"'+e.errSchemaPath+'\"')}var g,p,m=(g=\"object\"==typeof d&&!(d instanceof RegExp)&&d.validate)&&d.type||\"string\";if(g&&(p=!0===d.async,d=d.validate),m!=n)return l&&(r+=\" if (true) { \"),r;if(p){if(!e.async)throw new Error(\"async format in sync schema\");r+=\" if (!(await \"+(C=\"formats\"+e.util.getProperty(o)+\".validate\")+\"(\"+h+\"))) { \"}else{r+=\" if (! \";var C=\"formats\"+e.util.getProperty(o);g&&(C+=\".validate\"),r+=\"function\"==typeof d?\" \"+C+\"(\"+h+\") \":\" \"+C+\".test(\"+h+\") \",r+=\") { \"}}var b=b||[];return b.push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'format' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { format:  \",r+=u?\"\"+f:\"\"+e.util.toQuotedString(o),r+=\"  } \",!1!==e.opts.messages&&(r+=\" , message: 'should match format \\\"\",r+=u?\"' + \"+f+\" + '\":\"\"+e.util.escapeQuotes(o),r+=\"\\\"' \"),e.opts.verbose&&(r+=\" , schema:  \",r+=u?\"validate.schema\"+a:\"\"+e.util.toQuotedString(o),r+=\"         , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=b.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" } \",l&&(r+=\" else { \"),r}},5926:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=\"valid\"+i,u=\"errs__\"+i,f=e.util.copy(e);f.level++;var g,p=\"valid\"+f.level,m=(t=e.schema.else,s=void 0!==(m=e.schema.then)&&(e.opts.strictKeywords?\"object\"==typeof m&&0<Object.keys(m).length||!1===m:e.util.schemaHasRules(m,e.RULES.all)),void 0!==t&&(e.opts.strictKeywords?\"object\"==typeof t&&0<Object.keys(t).length||!1===t:e.util.schemaHasRules(t,e.RULES.all)));return t=f.baseId,s||m?(f.createErrors=!1,f.schema=o,f.schemaPath=a,f.errSchemaPath=c,r+=\" var \"+u+\" = errors; var \"+d+\" = true;  \",o=e.compositeRule,e.compositeRule=f.compositeRule=!0,r+=\"  \"+e.validate(f)+\" \",f.baseId=t,f.createErrors=!0,r+=\"  errors = \"+u+\"; if (vErrors !== null) { if (\"+u+\") vErrors.length = \"+u+\"; else vErrors = null; }  \",e.compositeRule=f.compositeRule=o,s?(r+=\" if (\"+p+\") {  \",f.schema=e.schema.then,f.schemaPath=e.schemaPath+\".then\",f.errSchemaPath=e.errSchemaPath+\"/then\",r+=\"  \"+e.validate(f)+\" \",f.baseId=t,r+=\" \"+d+\" = \"+p+\"; \",s&&m?r+=\" var \"+(g=\"ifClause\"+i)+\" = 'then'; \":g=\"'then'\",r+=\" } \",m&&(r+=\" else { \")):r+=\" if (!\"+p+\") { \",m&&(f.schema=e.schema.else,f.schemaPath=e.schemaPath+\".else\",f.errSchemaPath=e.errSchemaPath+\"/else\",r+=\"  \"+e.validate(f)+\" \",f.baseId=t,r+=\" \"+d+\" = \"+p+\"; \",s&&m?r+=\" var \"+(g=\"ifClause\"+i)+\" = 'else'; \":g=\"'else'\",r+=\" } \"),r+=\" if (!\"+d+\") {   var err =   \",!1!==e.createErrors?(r+=\" { keyword: 'if' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { failingKeyword: \"+g+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should match \\\"' + \"+g+\" + '\\\" schema' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",r+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",!e.compositeRule&&l&&(r+=e.async?\" throw new ValidationError(vErrors); \":\" validate.errors = vErrors; return false; \"),r+=\" }   \",l&&(r+=\" else { \")):l&&(r+=\" if (true) { \"),r}},9646:function(e,t,n){\"use strict\";e.exports={$ref:n(2331),allOf:n(9486),anyOf:n(5347),$comment:n(923),const:n(2617),contains:n(2119),dependencies:n(9115),enum:n(9317),format:n(8327),if:n(5926),items:n(392),maximum:n(1796),minimum:n(1796),maxItems:n(2407),minItems:n(2407),maxLength:n(1250),minLength:n(1250),maxProperties:n(2596),minProperties:n(2596),multipleOf:n(6039),not:n(7946),oneOf:n(9344),pattern:n(9737),properties:n(2537),propertyNames:n(2127),required:n(1204),uniqueItems:n(1985),validate:n(1869)}},392:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=\"valid\"+i,u=\"errs__\"+i,f=e.util.copy(e),g=\"\";f.level++;var p=\"valid\"+f.level,m=(t=\"i\"+i,f.dataLevel=e.dataLevel+1),C=\"data\"+m,b=e.baseId;if(r+=\"var \"+u+\" = errors;var \"+d+\";\",Array.isArray(o)){var v;!1===(s=e.schema.additionalItems)&&(r+=\" \"+d+\" = \"+h+\".length <= \"+o.length+\"; \",i=c,c=e.errSchemaPath+\"/additionalItems\",(v=v||[]).push(r+=\"  if (!\"+d+\") {   \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'additionalItems' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { limit: \"+o.length+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should NOT have more than \"+o.length+\" items' \"),e.opts.verbose&&(r+=\" , schema: false , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",d=r,r=v.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+d+\"]); \":\" validate.errors = [\"+d+\"]; return false; \":\" var err = \"+d+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" } \",c=i,l&&(g+=\"}\",r+=\" else { \"));var I=o;if(I)for(var A=-1,y=I.length-1;A<y;){var w,S,x=I[A+=1];(e.opts.strictKeywords?\"object\"==typeof x&&0<Object.keys(x).length||!1===x:e.util.schemaHasRules(x,e.RULES.all))&&(r+=\" \"+p+\" = true; if (\"+h+\".length > \"+A+\") { \",w=h+\"[\"+A+\"]\",f.schema=x,f.schemaPath=a+\"[\"+A+\"]\",f.errSchemaPath=c+\"/\"+A,f.errorPath=e.util.getPathExpr(e.errorPath,A,e.opts.jsonPointers,!0),f.dataPathArr[m]=A,S=e.validate(f),f.baseId=b,e.util.varOccurences(S,C)<2?r+=\" \"+e.util.varReplace(S,C,w)+\" \":r+=\" var \"+C+\" = \"+w+\"; \"+S+\" \",r+=\" }  \",l&&(r+=\" if (\"+p+\") { \",g+=\"}\"))}\"object\"==typeof s&&(e.opts.strictKeywords?\"object\"==typeof s&&0<Object.keys(s).length||!1===s:e.util.schemaHasRules(s,e.RULES.all))&&(f.schema=s,f.schemaPath=e.schemaPath+\".additionalItems\",f.errSchemaPath=e.errSchemaPath+\"/additionalItems\",r+=\" \"+p+\" = true; if (\"+h+\".length > \"+o.length+\") {  for (var \"+t+\" = \"+o.length+\"; \"+t+\" < \"+h+\".length; \"+t+\"++) { \",f.errorPath=e.util.getPathExpr(e.errorPath,t,e.opts.jsonPointers,!0),w=h+\"[\"+t+\"]\",f.dataPathArr[m]=t,S=e.validate(f),f.baseId=b,e.util.varOccurences(S,C)<2?r+=\" \"+e.util.varReplace(S,C,w)+\" \":r+=\" var \"+C+\" = \"+w+\"; \"+S+\" \",l&&(r+=\" if (!\"+p+\") break; \"),r+=\" } }  \",l&&(r+=\" if (\"+p+\") { \",g+=\"}\"))}else(e.opts.strictKeywords?\"object\"==typeof o&&0<Object.keys(o).length||!1===o:e.util.schemaHasRules(o,e.RULES.all))&&(f.schema=o,f.schemaPath=a,f.errSchemaPath=c,r+=\"  for (var \"+t+\" = 0; \"+t+\" < \"+h+\".length; \"+t+\"++) { \",f.errorPath=e.util.getPathExpr(e.errorPath,t,e.opts.jsonPointers,!0),w=h+\"[\"+t+\"]\",f.dataPathArr[m]=t,S=e.validate(f),f.baseId=b,e.util.varOccurences(S,C)<2?r+=\" \"+e.util.varReplace(S,C,w)+\" \":r+=\" var \"+C+\" = \"+w+\"; \"+S+\" \",l&&(r+=\" if (!\"+p+\") break; \"),r+=\" }\");return l&&(r+=\" \"+g+\" if (\"+u+\" == errors) {\"),r}},6039:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=e.opts.$data&&o&&o.$data;if(s=d?(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \",\"schema\"+i):o,!d&&\"number\"!=typeof o)throw new Error(t+\" must be number\");r+=\"var division\"+i+\";if (\",d&&(r+=\" \"+s+\" !== undefined && ( typeof \"+s+\" != 'number' || \"),r+=\" (division\"+i+\" = \"+h+\" / \"+s+\", \",r+=e.opts.multipleOfPrecision?\" Math.abs(Math.round(division\"+i+\") - division\"+i+\") > 1e-\"+e.opts.multipleOfPrecision+\" \":\" division\"+i+\" !== parseInt(division\"+i+\") \",r+=\" ) \",d&&(r+=\"  )  \");var u=u||[];return u.push(r+=\" ) {   \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'multipleOf' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { multipleOf: \"+s+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should be multiple of \",r+=d?\"' + \"+s:s+\"'\"),e.opts.verbose&&(r+=\" , schema:  \",r+=d?\"validate.schema\"+a:\"\"+o,r+=\"         , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=u.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\"} \",l&&(r+=\" else { \"),r}},7946:function(e){\"use strict\";e.exports=function(e,t,n){var r,i,s=\" \",o=e.level,a=e.dataLevel,c=e.schema[t],l=e.schemaPath+e.util.getProperty(t),h=e.errSchemaPath+\"/\"+t,d=!e.opts.allErrors,u=\"data\"+(a||\"\");return t=\"errs__\"+o,(a=e.util.copy(e)).level++,o=\"valid\"+a.level,(e.opts.strictKeywords?\"object\"==typeof c&&0<Object.keys(c).length||!1===c:e.util.schemaHasRules(c,e.RULES.all))?(a.schema=c,a.schemaPath=l,a.errSchemaPath=h,s+=\" var \"+t+\" = errors;  \",c=e.compositeRule,e.compositeRule=a.compositeRule=!0,a.createErrors=!1,a.opts.allErrors&&(r=a.opts.allErrors,a.opts.allErrors=!1),s+=\" \"+e.validate(a)+\" \",a.createErrors=!0,r&&(a.opts.allErrors=r),e.compositeRule=a.compositeRule=c,(i=i||[]).push(s+=\" if (\"+o+\") {   \"),s=\"\",!1!==e.createErrors?(s+=\" { keyword: 'not' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(h)+\" , params: {} \",!1!==e.opts.messages&&(s+=\" , message: 'should NOT be valid' \"),e.opts.verbose&&(s+=\" , schema: validate.schema\"+l+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+u+\" \"),s+=\" } \"):s+=\" {} \",o=s,s=i.pop(),s+=!e.compositeRule&&d?e.async?\" throw new ValidationError([\"+o+\"]); \":\" validate.errors = [\"+o+\"]; return false; \":\" var err = \"+o+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",s+=\" } else {  errors = \"+t+\"; if (vErrors !== null) { if (\"+t+\") vErrors.length = \"+t+\"; else vErrors = null; } \",e.opts.allErrors&&(s+=\" } \")):(s+=\"  var err =   \",!1!==e.createErrors?(s+=\" { keyword: 'not' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(h)+\" , params: {} \",!1!==e.opts.messages&&(s+=\" , message: 'should NOT be valid' \"),e.opts.verbose&&(s+=\" , schema: validate.schema\"+l+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+u+\" \"),s+=\" } \"):s+=\" {} \",s+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",d&&(s+=\" if (false) { \")),s}},9344:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=(t=\"data\"+(s||\"\"),\"valid\"+i),d=(s=\"errs__\"+i,e.util.copy(e)),u=\"\";d.level++;var f=\"valid\"+d.level,g=d.baseId,p=\"prevValid\"+i,m=\"passingSchemas\"+i;r+=\"var \"+s+\" = errors , \"+p+\" = false , \"+h+\" = false , \"+m+\" = null; \",i=e.compositeRule,e.compositeRule=d.compositeRule=!0;var C=o;if(C)for(var b,v=-1,I=C.length-1;v<I;)b=C[v+=1],(e.opts.strictKeywords?\"object\"==typeof b&&0<Object.keys(b).length||!1===b:e.util.schemaHasRules(b,e.RULES.all))?(d.schema=b,d.schemaPath=a+\"[\"+v+\"]\",d.errSchemaPath=c+\"/\"+v,r+=\"  \"+e.validate(d)+\" \",d.baseId=g):r+=\" var \"+f+\" = true; \",v&&(r+=\" if (\"+f+\" && \"+p+\") { \"+h+\" = false; \"+m+\" = [\"+m+\", \"+v+\"]; } else { \",u+=\"}\"),r+=\" if (\"+f+\") { \"+h+\" = \"+p+\" = true; \"+m+\" = \"+v+\"; }\";return e.compositeRule=d.compositeRule=i,r+=u+\"if (!\"+h+\") {   var err =   \",!1!==e.createErrors?(r+=\" { keyword: 'oneOf' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { passingSchemas: \"+m+\" } \",!1!==e.opts.messages&&(r+=\" , message: 'should match exactly one schema in oneOf' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+t+\" \"),r+=\" } \"):r+=\" {} \",r+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",!e.compositeRule&&l&&(r+=e.async?\" throw new ValidationError(vErrors); \":\" validate.errors = vErrors; return false; \"),r+=\"} else {  errors = \"+s+\"; if (vErrors !== null) { if (\"+s+\") vErrors.length = \"+s+\"; else vErrors = null; }\",e.opts.allErrors&&(r+=\" } \"),r}},9737:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\");i=(t=e.opts.$data&&o&&o.$data)?(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \",\"schema\"+i):o,r+=\"if ( \",t&&(r+=\" (\"+i+\" !== undefined && typeof \"+i+\" != 'string') || \"),r+=\" !\"+(t?\"(new RegExp(\"+i+\"))\":e.usePattern(o))+\".test(\"+h+\") ) {   \";var d=d||[];return d.push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'pattern' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { pattern:  \",r+=t?\"\"+i:\"\"+e.util.toQuotedString(o),r+=\"  } \",!1!==e.opts.messages&&(r+=\" , message: 'should match pattern \\\"\",r+=t?\"' + \"+i+\" + '\":\"\"+e.util.escapeQuotes(o),r+=\"\\\"' \"),e.opts.verbose&&(r+=\" , schema:  \",r+=t?\"validate.schema\"+a:\"\"+e.util.toQuotedString(o),r+=\"         , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",h=r,r=d.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+h+\"]); \":\" validate.errors = [\"+h+\"]; return false; \":\" var err = \"+h+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\"} \",l&&(r+=\" else { \"),r}},2537:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=\"errs__\"+i,u=e.util.copy(e),f=\"\";u.level++;var g,p=\"valid\"+u.level,m=\"key\"+i,C=\"idx\"+i,b=u.dataLevel=e.dataLevel+1,v=\"data\"+b,I=\"dataProperties\"+i,A=Object.keys(o||{}).filter(B),y=e.schema.patternProperties||{},w=Object.keys(y).filter(B),S=e.schema.additionalProperties,x=A.length||w.length,E=!1===S,k=\"object\"==typeof S&&Object.keys(S).length,_=e.opts.removeAdditional,T=(t=E||k||_,e.opts.ownProperties),R=e.baseId;function B(e){return\"__proto__\"!==e}if((s=e.schema.required)&&(!e.opts.$data||!s.$data)&&s.length<e.opts.loopRequired&&(g=e.util.toHash(s)),r+=\"var \"+d+\" = errors;var \"+p+\" = true;\",T&&(r+=\" var \"+I+\" = undefined;\"),t){if(r+=T?\" \"+I+\" = \"+I+\" || Object.keys(\"+h+\"); for (var \"+C+\"=0; \"+C+\"<\"+I+\".length; \"+C+\"++) { var \"+m+\" = \"+I+\"[\"+C+\"]; \":\" for (var \"+m+\" in \"+h+\") { \",x){if(r+=\" var isAdditional\"+i+\" = !(false \",A.length)if(8<A.length)r+=\" || validate.schema\"+a+\".hasOwnProperty(\"+m+\") \";else{var O=A;if(O)for(var L=-1,P=O.length-1;L<P;)W=O[L+=1],r+=\" || \"+m+\" == \"+e.util.toQuotedString(W)+\" \"}if(w.length){var F=w;if(F)for(var N=-1,M=F.length-1;N<M;)Q=F[N+=1],r+=\" || \"+e.usePattern(Q)+\".test(\"+m+\") \"}r+=\" ); if (isAdditional\"+i+\") { \"}\"all\"==_?r+=\" delete \"+h+\"[\"+m+\"]; \":(Z=e.errorPath,i=\"' + \"+m+\" + '\",e.opts._errorDataPathProperty&&(e.errorPath=e.util.getPathExpr(e.errorPath,m,e.opts.jsonPointers)),E?_?r+=\" delete \"+h+\"[\"+m+\"]; \":(z=c,c=e.errSchemaPath+\"/additionalProperties\",(X=X||[]).push(r+=\" \"+p+\" = false; \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'additionalProperties' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { additionalProperty: '\"+i+\"' } \",!1!==e.opts.messages&&(r+=\" , message: '\",r+=e.opts._errorDataPathProperty?\"is an invalid additional property\":\"should NOT have additional properties\",r+=\"' \"),e.opts.verbose&&(r+=\" , schema: false , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",U=r,r=X.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+U+\"]); \":\" validate.errors = [\"+U+\"]; return false; \":\" var err = \"+U+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",c=z,l&&(r+=\" break; \")):k&&(\"failing\"==_?(r+=\" var \"+d+\" = errors;  \",_=e.compositeRule,e.compositeRule=u.compositeRule=!0,u.schema=S,u.schemaPath=e.schemaPath+\".additionalProperties\",u.errSchemaPath=e.errSchemaPath+\"/additionalProperties\",u.errorPath=e.opts._errorDataPathProperty?e.errorPath:e.util.getPathExpr(e.errorPath,m,e.opts.jsonPointers),te=h+\"[\"+m+\"]\",u.dataPathArr[b]=m,ne=e.validate(u),u.baseId=R,e.util.varOccurences(ne,v)<2?r+=\" \"+e.util.varReplace(ne,v,te)+\" \":r+=\" var \"+v+\" = \"+te+\"; \"+ne+\" \",r+=\" if (!\"+p+\") { errors = \"+d+\"; if (validate.errors !== null) { if (errors) validate.errors.length = errors; else validate.errors = null; } delete \"+h+\"[\"+m+\"]; }  \",e.compositeRule=u.compositeRule=_):(u.schema=S,u.schemaPath=e.schemaPath+\".additionalProperties\",u.errSchemaPath=e.errSchemaPath+\"/additionalProperties\",u.errorPath=e.opts._errorDataPathProperty?e.errorPath:e.util.getPathExpr(e.errorPath,m,e.opts.jsonPointers),te=h+\"[\"+m+\"]\",u.dataPathArr[b]=m,ne=e.validate(u),u.baseId=R,e.util.varOccurences(ne,v)<2?r+=\" \"+e.util.varReplace(ne,v,te)+\" \":r+=\" var \"+v+\" = \"+te+\"; \"+ne+\" \",l&&(r+=\" if (!\"+p+\") break; \"))),e.errorPath=Z),x&&(r+=\" } \"),r+=\" }  \",l&&(r+=\" if (\"+p+\") { \",f+=\"}\")}var D=e.opts.useDefaults&&!e.compositeRule;if(A.length){var $=A;if($)for(var W,H=-1,G=$.length-1;H<G;){var V,j,Z,z,K,X,U,Y=o[W=$[H+=1]];(e.opts.strictKeywords?\"object\"==typeof Y&&0<Object.keys(Y).length||!1===Y:e.util.schemaHasRules(Y,e.RULES.all))&&(te=h+(V=e.util.getProperty(W)),K=D&&void 0!==Y.default,u.schema=Y,u.schemaPath=a+V,u.errSchemaPath=c+\"/\"+e.util.escapeFragment(W),u.errorPath=e.util.getPath(e.errorPath,W,e.opts.jsonPointers),u.dataPathArr[b]=e.util.toQuotedString(W),ne=e.validate(u),u.baseId=R,e.util.varOccurences(ne,v)<2?(ne=e.util.varReplace(ne,v,te),j=te):r+=\" var \"+(j=v)+\" = \"+te+\"; \",K?r+=\" \"+ne+\" \":(g&&g[W]?(r+=\" if ( \"+j+\" === undefined \",T&&(r+=\" || ! Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(W)+\"') \"),r+=\") { \"+p+\" = false; \",Z=e.errorPath,z=c,K=e.util.escapeQuotes(W),e.opts._errorDataPathProperty&&(e.errorPath=e.util.getPath(Z,W,e.opts.jsonPointers)),c=e.errSchemaPath+\"/required\",(X=X||[]).push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'required' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { missingProperty: '\"+K+\"' } \",!1!==e.opts.messages&&(r+=\" , message: '\",r+=e.opts._errorDataPathProperty?\"is a required property\":\"should have required property \\\\'\"+K+\"\\\\'\",r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",U=r,r=X.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+U+\"]); \":\" validate.errors = [\"+U+\"]; return false; \":\" var err = \"+U+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",c=z,e.errorPath=Z,r+=\" } else { \"):l?(r+=\" if ( \"+j+\" === undefined \",T&&(r+=\" || ! Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(W)+\"') \"),r+=\") { \"+p+\" = true; } else { \"):(r+=\" if (\"+j+\" !== undefined \",T&&(r+=\" &&   Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(W)+\"') \"),r+=\" ) { \"),r+=\" \"+ne+\" } \")),l&&(r+=\" if (\"+p+\") { \",f+=\"}\")}}if(w.length){var J=w;if(J)for(var Q,q=-1,ee=J.length-1;q<ee;){var te,ne;Y=y[Q=J[q+=1]],(e.opts.strictKeywords?\"object\"==typeof Y&&0<Object.keys(Y).length||!1===Y:e.util.schemaHasRules(Y,e.RULES.all))&&(u.schema=Y,u.schemaPath=e.schemaPath+\".patternProperties\"+e.util.getProperty(Q),u.errSchemaPath=e.errSchemaPath+\"/patternProperties/\"+e.util.escapeFragment(Q),r+=T?\" \"+I+\" = \"+I+\" || Object.keys(\"+h+\"); for (var \"+C+\"=0; \"+C+\"<\"+I+\".length; \"+C+\"++) { var \"+m+\" = \"+I+\"[\"+C+\"]; \":\" for (var \"+m+\" in \"+h+\") { \",r+=\" if (\"+e.usePattern(Q)+\".test(\"+m+\")) { \",u.errorPath=e.util.getPathExpr(e.errorPath,m,e.opts.jsonPointers),te=h+\"[\"+m+\"]\",u.dataPathArr[b]=m,ne=e.validate(u),u.baseId=R,e.util.varOccurences(ne,v)<2?r+=\" \"+e.util.varReplace(ne,v,te)+\" \":r+=\" var \"+v+\" = \"+te+\"; \"+ne+\" \",l&&(r+=\" if (!\"+p+\") break; \"),r+=\" } \",l&&(r+=\" else \"+p+\" = true; \"),r+=\" }  \",l&&(r+=\" if (\"+p+\") { \",f+=\"}\"))}}return l&&(r+=\" \"+f+\" if (\"+d+\" == errors) {\"),r}},2127:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=\"errs__\"+i,u=e.util.copy(e);u.level++;var f,g,p,m,C,b=\"valid\"+u.level;return r+=\"var \"+d+\" = errors;\",(e.opts.strictKeywords?\"object\"==typeof o&&0<Object.keys(o).length||!1===o:e.util.schemaHasRules(o,e.RULES.all))&&(u.schema=o,u.schemaPath=a,u.errSchemaPath=c,C=\"idx\"+i,g=\"i\"+i,p=\"' + \"+(f=\"key\"+i)+\" + '\",m=\"data\"+(u.dataLevel=e.dataLevel+1),t=\"dataProperties\"+i,o=e.baseId,(s=e.opts.ownProperties)&&(r+=\" var \"+t+\" = undefined; \"),r+=s?\" \"+t+\" = \"+t+\" || Object.keys(\"+h+\"); for (var \"+C+\"=0; \"+C+\"<\"+t+\".length; \"+C+\"++) { var \"+f+\" = \"+t+\"[\"+C+\"]; \":\" for (var \"+f+\" in \"+h+\") { \",r+=\" var startErrs\"+i+\" = errors; \",s=f,t=e.compositeRule,e.compositeRule=u.compositeRule=!0,C=e.validate(u),u.baseId=o,e.util.varOccurences(C,m)<2?r+=\" \"+e.util.varReplace(C,m,s)+\" \":r+=\" var \"+m+\" = \"+s+\"; \"+C+\" \",e.compositeRule=u.compositeRule=t,r+=\" if (!\"+b+\") { for (var \"+g+\"=startErrs\"+i+\"; \"+g+\"<errors; \"+g+\"++) { vErrors[\"+g+\"].propertyName = \"+f+\"; }   var err =   \",!1!==e.createErrors?(r+=\" { keyword: 'propertyNames' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { propertyName: '\"+p+\"' } \",!1!==e.opts.messages&&(r+=\" , message: 'property name \\\\'\"+p+\"\\\\' is invalid' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",r+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",!e.compositeRule&&l&&(r+=e.async?\" throw new ValidationError(vErrors); \":\" validate.errors = vErrors; return false; \"),l&&(r+=\" break; \"),r+=\" } }\"),l&&(r+=\"  if (\"+d+\" == errors) {\"),r}},2331:function(e){\"use strict\";e.exports=function(e,t,n){var r,i,s=\" \",o=e.level,a=e.dataLevel,c=e.schema[t],l=e.errSchemaPath+\"/\"+t,h=!e.opts.allErrors,d=\"data\"+(a||\"\");if(t=\"valid\"+o,\"#\"==c||\"#/\"==c)i=e.isRoot?(r=e.async,\"validate\"):(r=!0===e.root.schema.$async,\"root.refVal[0]\");else if(void 0===(o=e.resolveRef(e.baseId,c,e.isRoot))){var u,f=e.MissingRefError.message(e.baseId,c);if(\"fail\"==e.opts.missingRefs){e.logger.error(f),(u=u||[]).push(s),s=\"\",!1!==e.createErrors?(s+=\" { keyword: '$ref' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(l)+\" , params: { ref: '\"+e.util.escapeQuotes(c)+\"' } \",!1!==e.opts.messages&&(s+=\" , message: 'can\\\\'t resolve reference \"+e.util.escapeQuotes(c)+\"' \"),e.opts.verbose&&(s+=\" , schema: \"+e.util.toQuotedString(c)+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+d+\" \"),s+=\" } \"):s+=\" {} \";var g=s;s=u.pop(),s+=!e.compositeRule&&h?e.async?\" throw new ValidationError([\"+g+\"]); \":\" validate.errors = [\"+g+\"]; return false; \":\" var err = \"+g+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",h&&(s+=\" if (false) { \")}else{if(\"ignore\"!=e.opts.missingRefs)throw new e.MissingRefError(e.baseId,c,f);e.logger.warn(f),h&&(s+=\" if (true) { \")}}else o.inline?((g=e.util.copy(e)).level++,f=\"valid\"+g.level,g.schema=o.schema,g.schemaPath=\"\",g.errSchemaPath=c,s+=\" \"+e.validate(g).replace(/validate\\.schema/g,o.code)+\" \",h&&(s+=\" if (\"+f+\") { \")):(r=!0===o.$async||e.async&&!1!==o.$async,i=o.code);if(i)if((u=u||[]).push(s),s=\"\",s+=e.opts.passContext?\" \"+i+\".call(this, \":\" \"+i+\"( \",s+=\" \"+d+\", (dataPath || '')\",'\"\"'!=e.errorPath&&(s+=\" + \"+e.errorPath),a=s+=\" , \"+(a?\"data\"+(a-1||\"\"):\"parentData\")+\" , \"+(a?e.dataPathArr[a]:\"parentDataProperty\")+\", rootData)  \",s=u.pop(),r){if(!e.async)throw new Error(\"async schema referenced by sync schema\");h&&(s+=\" var \"+t+\"; \"),s+=\" try { await \"+a+\"; \",h&&(s+=\" \"+t+\" = true; \"),s+=\" } catch (e) { if (!(e instanceof ValidationError)) throw e; if (vErrors === null) vErrors = e.errors; else vErrors = vErrors.concat(e.errors); errors = vErrors.length; \",h&&(s+=\" \"+t+\" = false; \"),s+=\" } \",h&&(s+=\" if (\"+t+\") { \")}else s+=\" if (!\"+a+\") { if (vErrors === null) vErrors = \"+i+\".errors; else vErrors = vErrors.concat(\"+i+\".errors); errors = vErrors.length; } \",h&&(s+=\" else { \");return s}},1204:function(e){\"use strict\";e.exports=function(e,t,n){var r=\" \",i=e.level,s=e.dataLevel,o=e.schema[t],a=e.schemaPath+e.util.getProperty(t),c=e.errSchemaPath+\"/\"+t,l=!e.opts.allErrors,h=\"data\"+(s||\"\"),d=\"valid\"+i;if((t=e.opts.$data&&o&&o.$data)&&(r+=\" var schema\"+i+\" = \"+e.util.getData(o.$data,s,e.dataPathArr)+\"; \"),s=\"schema\"+i,!t)if(o.length<e.opts.loopRequired&&e.schema.properties&&Object.keys(e.schema.properties).length){var u=[],f=o;if(f)for(var g,p=-1,m=f.length-1;p<m;){g=f[p+=1];var C=e.schema.properties[g];C&&(e.opts.strictKeywords?\"object\"==typeof C&&0<Object.keys(C).length||!1===C:e.util.schemaHasRules(C,e.RULES.all))||(u[u.length]=g)}}else u=o;if(t||u.length){var b=e.errorPath,v=(o=t||u.length>=e.opts.loopRequired,e.opts.ownProperties);if(l)if(r+=\" var missing\"+i+\"; \",o){t||(r+=\" var \"+s+\" = validate.schema\"+a+\"; \");var I=\"' + \"+(E=\"schema\"+i+\"[\"+(S=\"i\"+i)+\"]\")+\" + '\";e.opts._errorDataPathProperty&&(e.errorPath=e.util.getPathExpr(b,E,e.opts.jsonPointers)),r+=\" var \"+d+\" = true; \",t&&(r+=\" if (schema\"+i+\" === undefined) \"+d+\" = true; else if (!Array.isArray(schema\"+i+\")) \"+d+\" = false; else {\"),r+=\" for (var \"+S+\" = 0; \"+S+\" < \"+s+\".length; \"+S+\"++) { \"+d+\" = \"+h+\"[\"+s+\"[\"+S+\"]] !== undefined \",v&&(r+=\" &&   Object.prototype.hasOwnProperty.call(\"+h+\", \"+s+\"[\"+S+\"]) \"),r+=\"; if (!\"+d+\") break; } \",t&&(r+=\"  }  \"),(y=y||[]).push(r+=\"  if (!\"+d+\") {   \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'required' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { missingProperty: '\"+I+\"' } \",!1!==e.opts.messages&&(r+=\" , message: '\",r+=e.opts._errorDataPathProperty?\"is a required property\":\"should have required property \\\\'\"+I+\"\\\\'\",r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \";var A=r;r=y.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+A+\"]); \":\" validate.errors = [\"+A+\"]; return false; \":\" var err = \"+A+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" } else { \"}else{r+=\" if ( \";var y,w=u;if(w)for(var S=-1,x=w.length-1;S<x;)_=w[S+=1],S&&(r+=\" || \"),r+=\" ( ( \"+(O=h+(B=e.util.getProperty(_)))+\" === undefined \",v&&(r+=\" || ! Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(_)+\"') \"),r+=\") && (missing\"+i+\" = \"+e.util.toQuotedString(e.opts.jsonPointers?_:B)+\") ) \";r+=\") {  \",I=\"' + \"+(E=\"missing\"+i)+\" + '\",e.opts._errorDataPathProperty&&(e.errorPath=e.opts.jsonPointers?e.util.getPathExpr(b,E,!0):b+\" + \"+E),(y=y||[]).push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'required' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { missingProperty: '\"+I+\"' } \",!1!==e.opts.messages&&(r+=\" , message: '\",r+=e.opts._errorDataPathProperty?\"is a required property\":\"should have required property \\\\'\"+I+\"\\\\'\",r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",A=r,r=y.pop(),r+=!e.compositeRule&&l?e.async?\" throw new ValidationError([\"+A+\"]); \":\" validate.errors = [\"+A+\"]; return false; \":\" var err = \"+A+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" } else { \"}else if(o){var E;t||(r+=\" var \"+s+\" = validate.schema\"+a+\"; \"),I=\"' + \"+(E=\"schema\"+i+\"[\"+(S=\"i\"+i)+\"]\")+\" + '\",e.opts._errorDataPathProperty&&(e.errorPath=e.util.getPathExpr(b,E,e.opts.jsonPointers)),t&&(r+=\" if (\"+s+\" && !Array.isArray(\"+s+\")) {  var err =   \",!1!==e.createErrors?(r+=\" { keyword: 'required' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { missingProperty: '\"+I+\"' } \",!1!==e.opts.messages&&(r+=\" , message: '\",r+=e.opts._errorDataPathProperty?\"is a required property\":\"should have required property \\\\'\"+I+\"\\\\'\",r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",r+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; } else if (\"+s+\" !== undefined) { \"),r+=\" for (var \"+S+\" = 0; \"+S+\" < \"+s+\".length; \"+S+\"++) { if (\"+h+\"[\"+s+\"[\"+S+\"]] === undefined \",v&&(r+=\" || ! Object.prototype.hasOwnProperty.call(\"+h+\", \"+s+\"[\"+S+\"]) \"),r+=\") {  var err =   \",!1!==e.createErrors?(r+=\" { keyword: 'required' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { missingProperty: '\"+I+\"' } \",!1!==e.opts.messages&&(r+=\" , message: '\",r+=e.opts._errorDataPathProperty?\"is a required property\":\"should have required property \\\\'\"+I+\"\\\\'\",r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",r+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; } } \",t&&(r+=\"  }  \")}else{var k=u;if(k)for(var _,T=-1,R=k.length-1;T<R;){_=k[T+=1];var B=e.util.getProperty(_),O=(I=e.util.escapeQuotes(_),h+B);e.opts._errorDataPathProperty&&(e.errorPath=e.util.getPath(b,_,e.opts.jsonPointers)),r+=\" if ( \"+O+\" === undefined \",v&&(r+=\" || ! Object.prototype.hasOwnProperty.call(\"+h+\", '\"+e.util.escapeQuotes(_)+\"') \"),r+=\") {  var err =   \",!1!==e.createErrors?(r+=\" { keyword: 'required' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(c)+\" , params: { missingProperty: '\"+I+\"' } \",!1!==e.opts.messages&&(r+=\" , message: '\",r+=e.opts._errorDataPathProperty?\"is a required property\":\"should have required property \\\\'\"+I+\"\\\\'\",r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+a+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+h+\" \"),r+=\" } \"):r+=\" {} \",r+=\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; } \"}}e.errorPath=b}else l&&(r+=\" if (true) {\");return r}},1985:function(e){\"use strict\";e.exports=function(e,t,n){var r,i=\" \",s=e.level,o=e.dataLevel,a=e.schema[t],c=e.schemaPath+e.util.getProperty(t),l=e.errSchemaPath+\"/\"+t,h=!e.opts.allErrors,d=\"data\"+(o||\"\"),u=\"valid\"+s,f=e.opts.$data&&a&&a.$data;return t=f?(i+=\" var schema\"+s+\" = \"+e.util.getData(a.$data,o,e.dataPathArr)+\"; \",\"schema\"+s):a,(a||f)&&!1!==e.opts.uniqueItems?(f&&(i+=\" var \"+u+\"; if (\"+t+\" === false || \"+t+\" === undefined) \"+u+\" = true; else if (typeof \"+t+\" != 'boolean') \"+u+\" = false; else { \"),i+=\" var i = \"+d+\".length , \"+u+\" = true , j; if (i > 1) { \",o=e.schema.items&&e.schema.items.type,s=Array.isArray(o),!o||\"object\"==o||\"array\"==o||s&&(0<=o.indexOf(\"object\")||0<=o.indexOf(\"array\"))?i+=\" outer: for (;i--;) { for (j = i; j--;) { if (equal(\"+d+\"[i], \"+d+\"[j])) { \"+u+\" = false; break outer; } } } \":(i+=\" var itemIndices = {}, item; for (;i--;) { var item = \"+d+\"[i]; \",i+=\" if (\"+e.util[t=\"checkDataType\"+(s?\"s\":\"\")](o,\"item\",e.opts.strictNumbers,!0)+\") continue; \",s&&(i+=\" if (typeof item == 'string') item = '\\\"' + item; \"),i+=\" if (typeof itemIndices[item] == 'number') { \"+u+\" = false; j = itemIndices[item]; break; } itemIndices[item] = i; } \"),i+=\" } \",f&&(i+=\"  }  \"),(r=r||[]).push(i+=\" if (!\"+u+\") {   \"),i=\"\",!1!==e.createErrors?(i+=\" { keyword: 'uniqueItems' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(l)+\" , params: { i: i, j: j } \",!1!==e.opts.messages&&(i+=\" , message: 'should NOT have duplicate items (items ## ' + j + ' and ' + i + ' are identical)' \"),e.opts.verbose&&(i+=\" , schema:  \",i+=f?\"validate.schema\"+c:\"\"+a,i+=\"         , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+d+\" \"),i+=\" } \"):i+=\" {} \",d=i,i=r.pop(),i+=!e.compositeRule&&h?e.async?\" throw new ValidationError([\"+d+\"]); \":\" validate.errors = [\"+d+\"]; return false; \":\" var err = \"+d+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",i+=\" } \",h&&(i+=\" else { \")):h&&(i+=\" if (true) { \"),i}},1869:function(e){\"use strict\";e.exports=function(e,t,n){var r=\"\",i=!0===e.schema.$async,s=e.util.schemaHasRulesExcept(e.schema,e.RULES.all,\"$ref\"),o=e.self._getId(e.schema);if(e.opts.strictKeywords){var a=e.util.schemaUnknownRules(e.schema,e.RULES.keywords);if(a){if(a=\"unknown keyword: \"+a,\"log\"!==e.opts.strictKeywords)throw new Error(a);e.logger.warn(a)}}if(e.isTop&&(r+=\" var validate = \",i&&(e.async=!0,r+=\"async \"),r+=\"function(data, dataPath, parentData, parentDataProperty, rootData) { 'use strict'; \",o&&(e.opts.sourceCode||e.opts.processCode)&&(r+=\" /*# sourceURL=\"+o+\" */ \")),\"boolean\"==typeof e.schema||!s&&!e.schema.$ref){var c=e.level,l=e.dataLevel,h=e.schema[t=\"false schema\"],d=e.schemaPath+e.util.getProperty(t),u=e.errSchemaPath+\"/\"+t,f=!e.opts.allErrors,g=\"data\"+(l||\"\"),p=\"valid\"+c;return!1===e.schema?(e.isTop?f=!0:r+=\" var \"+p+\" = false; \",(G=G||[]).push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'false schema' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(u)+\" , params: {} \",!1!==e.opts.messages&&(r+=\" , message: 'boolean schema is false' \"),e.opts.verbose&&(r+=\" , schema: false , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+g+\" \"),r+=\" } \"):r+=\" {} \",R=r,r=G.pop(),r+=!e.compositeRule&&f?e.async?\" throw new ValidationError([\"+R+\"]); \":\" validate.errors = [\"+R+\"]; return false; \":\" var err = \"+R+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \"):r+=e.isTop?i?\" return data; \":\" validate.errors = null; return true; \":\" var \"+p+\" = true; \",e.isTop&&(r+=\" }; return validate; \"),r}if(e.isTop){var m=e.isTop;if(c=e.level=0,l=e.dataLevel=0,g=\"data\",e.rootId=e.resolve.fullPath(e.self._getId(e.root.schema)),e.baseId=e.baseId||e.rootId,delete e.isTop,e.dataPathArr=[\"\"],void 0!==e.schema.default&&e.opts.useDefaults&&e.opts.strictDefaults){var C=\"default is ignored in the schema root\";if(\"log\"!==e.opts.strictDefaults)throw new Error(C);e.logger.warn(C)}r+=\" var vErrors = null; \",r+=\" var errors = 0;     \",r+=\" if (rootData === undefined) rootData = data; \"}else{if(c=e.level,g=\"data\"+((l=e.dataLevel)||\"\"),o&&(e.baseId=e.resolve.url(e.baseId,o)),i&&!e.async)throw new Error(\"async schema in sync schema\");r+=\" var errs_\"+c+\" = errors;\"}p=\"valid\"+c,f=!e.opts.allErrors;var b,v=\"\",I=\"\",A=e.schema.type,y=Array.isArray(A);if(A&&e.opts.nullable&&!0===e.schema.nullable&&(y?-1==A.indexOf(\"null\")&&(A=A.concat(\"null\")):\"null\"!=A&&(A=[A,\"null\"],y=!0)),y&&1==A.length&&(A=A[0],y=!1),e.schema.$ref&&s){if(\"fail\"==e.opts.extendRefs)throw new Error('$ref: validation keywords used in schema at path \"'+e.errSchemaPath+'\" (see option extendRefs)');!0!==e.opts.extendRefs&&(s=!1,e.logger.warn('$ref: keywords ignored in schema at path \"'+e.errSchemaPath+'\"'))}if(e.schema.$comment&&e.opts.$comment&&(r+=\" \"+e.RULES.all.$comment.code(e,\"$comment\")),A){e.opts.coerceTypes&&(b=e.util.coerceToTypes(e.opts.coerceTypes,A));var w=e.RULES.types[A];if(b||y||!0===w||w&&!K(w)){if(d=e.schemaPath+\".type\",u=e.errSchemaPath+\"/type\",d=e.schemaPath+\".type\",u=e.errSchemaPath+\"/type\",r+=\" if (\"+e.util[o=y?\"checkDataTypes\":\"checkDataType\"](A,g,e.opts.strictNumbers,!0)+\") { \",b){var S=\"dataType\"+c,x=\"coerced\"+c;r+=\" var \"+S+\" = typeof \"+g+\"; var \"+x+\" = undefined; \",\"array\"==e.opts.coerceTypes&&(r+=\" if (\"+S+\" == 'object' && Array.isArray(\"+g+\") && \"+g+\".length == 1) { \"+g+\" = \"+g+\"[0]; \"+S+\" = typeof \"+g+\"; if (\"+e.util.checkDataType(e.schema.type,g,e.opts.strictNumbers)+\") \"+x+\" = \"+g+\"; } \"),r+=\" if (\"+x+\" !== undefined) ; \";var E=b;if(E)for(var k,_=-1,T=E.length-1;_<T;)\"string\"==(k=E[_+=1])?r+=\" else if (\"+S+\" == 'number' || \"+S+\" == 'boolean') \"+x+\" = '' + \"+g+\"; else if (\"+g+\" === null) \"+x+\" = ''; \":\"number\"==k||\"integer\"==k?(r+=\" else if (\"+S+\" == 'boolean' || \"+g+\" === null || (\"+S+\" == 'string' && \"+g+\" && \"+g+\" == +\"+g+\" \",\"integer\"==k&&(r+=\" && !(\"+g+\" % 1)\"),r+=\")) \"+x+\" = +\"+g+\"; \"):\"boolean\"==k?r+=\" else if (\"+g+\" === 'false' || \"+g+\" === 0 || \"+g+\" === null) \"+x+\" = false; else if (\"+g+\" === 'true' || \"+g+\" === 1) \"+x+\" = true; \":\"null\"==k?r+=\" else if (\"+g+\" === '' || \"+g+\" === 0 || \"+g+\" === false) \"+x+\" = null; \":\"array\"==e.opts.coerceTypes&&\"array\"==k&&(r+=\" else if (\"+S+\" == 'string' || \"+S+\" == 'number' || \"+S+\" == 'boolean' || \"+g+\" == null) \"+x+\" = [\"+g+\"]; \");(G=G||[]).push(r+=\" else {   \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'type' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(u)+\" , params: { type: '\",r+=y?\"\"+A.join(\",\"):\"\"+A,r+=\"' } \",!1!==e.opts.messages&&(r+=\" , message: 'should be \",r+=y?\"\"+A.join(\",\"):\"\"+A,r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+d+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+g+\" \"),r+=\" } \"):r+=\" {} \";var R=r;r=G.pop(),r+=!e.compositeRule&&f?e.async?\" throw new ValidationError([\"+R+\"]); \":\" validate.errors = [\"+R+\"]; return false; \":\" var err = \"+R+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" } if (\"+x+\" !== undefined) {  \",o=l?\"data\"+(l-1||\"\"):\"parentData\",r+=\" \"+g+\" = \"+x+\"; \",l||(r+=\"if (\"+o+\" !== undefined)\"),r+=\" \"+o+\"[\"+(l?e.dataPathArr[l]:\"parentDataProperty\")+\"] = \"+x+\"; } \"}else(G=G||[]).push(r),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'type' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(u)+\" , params: { type: '\",r+=y?\"\"+A.join(\",\"):\"\"+A,r+=\"' } \",!1!==e.opts.messages&&(r+=\" , message: 'should be \",r+=y?\"\"+A.join(\",\"):\"\"+A,r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+d+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+g+\" \"),r+=\" } \"):r+=\" {} \",R=r,r=G.pop(),r+=!e.compositeRule&&f?e.async?\" throw new ValidationError([\"+R+\"]); \":\" validate.errors = [\"+R+\"]; return false; \":\" var err = \"+R+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \";r+=\" } \"}}if(e.schema.$ref&&!s)r+=\" \"+e.RULES.all.$ref.code(e,\"$ref\")+\" \",f&&(r+=\" } if (errors === \",r+=m?\"0\":\"errs_\"+c,r+=\") { \",I+=\"}\");else{var B=e.RULES;if(B)for(var O=-1,L=B.length-1;O<L;)if(K(w=B[O+=1])){if(w.type&&(r+=\" if (\"+e.util.checkDataType(w.type,g,e.opts.strictNumbers)+\") { \"),e.opts.useDefaults)if(\"object\"==w.type&&e.schema.properties){h=e.schema.properties;var P=Object.keys(h);if(P)for(var F,N=-1,M=P.length-1;N<M;)if(void 0!==(W=h[F=P[N+=1]]).default){var D=g+e.util.getProperty(F);if(e.compositeRule){if(e.opts.strictDefaults){if(C=\"default is ignored for: \"+D,\"log\"!==e.opts.strictDefaults)throw new Error(C);e.logger.warn(C)}}else r+=\" if (\"+D+\" === undefined \",\"empty\"==e.opts.useDefaults&&(r+=\" || \"+D+\" === null || \"+D+\" === '' \"),r+=\" ) \"+D+\" = \",r+=\"shared\"==e.opts.useDefaults?\" \"+e.useDefault(W.default)+\" \":\" \"+JSON.stringify(W.default)+\" \",r+=\"; \"}}else if(\"array\"==w.type&&Array.isArray(e.schema.items)){var $=e.schema.items;if($){_=-1;for(var W,H=$.length-1;_<H;)if(void 0!==(W=$[_+=1]).default)if(D=g+\"[\"+_+\"]\",e.compositeRule){if(e.opts.strictDefaults){if(C=\"default is ignored for: \"+D,\"log\"!==e.opts.strictDefaults)throw new Error(C);e.logger.warn(C)}}else r+=\" if (\"+D+\" === undefined \",\"empty\"==e.opts.useDefaults&&(r+=\" || \"+D+\" === null || \"+D+\" === '' \"),r+=\" ) \"+D+\" = \",r+=\"shared\"==e.opts.useDefaults?\" \"+e.useDefault(W.default)+\" \":\" \"+JSON.stringify(W.default)+\" \",r+=\"; \"}}var G,V=w.rules;if(V)for(var j,Z=-1,z=V.length-1;Z<z;)!X(j=V[Z+=1])||(j=j.code(e,j.keyword,w.type))&&(r+=\" \"+j+\" \",f&&(v+=\"}\"));f&&(r+=\" \"+v+\" \",v=\"\"),w.type&&(r+=\" } \",A&&A===w.type&&!b&&(d=e.schemaPath+\".type\",u=e.errSchemaPath+\"/type\",(G=G||[]).push(r+=\" else { \"),r=\"\",!1!==e.createErrors?(r+=\" { keyword: 'type' , dataPath: (dataPath || '') + \"+e.errorPath+\" , schemaPath: \"+e.util.toQuotedString(u)+\" , params: { type: '\",r+=y?\"\"+A.join(\",\"):\"\"+A,r+=\"' } \",!1!==e.opts.messages&&(r+=\" , message: 'should be \",r+=y?\"\"+A.join(\",\"):\"\"+A,r+=\"' \"),e.opts.verbose&&(r+=\" , schema: validate.schema\"+d+\" , parentSchema: validate.schema\"+e.schemaPath+\" , data: \"+g+\" \"),r+=\" } \"):r+=\" {} \",R=r,r=G.pop(),r+=!e.compositeRule&&f?e.async?\" throw new ValidationError([\"+R+\"]); \":\" validate.errors = [\"+R+\"]; return false; \":\" var err = \"+R+\";  if (vErrors === null) vErrors = [err]; else vErrors.push(err); errors++; \",r+=\" } \")),f&&(r+=\" if (errors === \",r+=m?\"0\":\"errs_\"+c,r+=\") { \",I+=\"}\")}}function K(e){for(var t=e.rules,n=0;n<t.length;n++)if(X(t[n]))return 1}function X(t){return void 0!==e.schema[t.keyword]||t.implements&&function(t){for(var n=t.implements,r=0;r<n.length;r++)if(void 0!==e.schema[n[r]])return 1}(t)}return f&&(r+=\" \"+I+\" \"),m?(i?(r+=\" if (errors === 0) return data;           \",r+=\" else throw new ValidationError(vErrors); \"):(r+=\" validate.errors = vErrors; \",r+=\" return errors === 0;       \"),r+=\" }; return validate;\"):r+=\" var \"+p+\" = errors === errs_\"+c+\";\",r}},7931:function(e,t,n){\"use strict\";var r=/^[a-z_$][a-z0-9_$-]*$/i,i=n(1793),s=n(5868);e.exports={add:function(e,t){var n=this.RULES;if(n.keywords[e])throw new Error(\"Keyword \"+e+\" is already defined\");if(!r.test(e))throw new Error(\"Keyword \"+e+\" is not a valid identifier\");if(t){this.validateKeyword(t,!0);var s=t.type;if(Array.isArray(s))for(var o=0;o<s.length;o++)c(e,s[o],t);else c(e,s,t);var a=t.metaSchema;a&&(t.$data&&this._opts.$data&&(a={anyOf:[a,{$ref:\"https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#\"}]}),t.validateSchema=this.compile(a,!0))}function c(e,t,r){for(var s,o=0;o<n.length;o++){var a=n[o];if(a.type==t){s=a;break}}s||n.push(s={type:t,rules:[]}),s.rules.push(r={keyword:e,definition:r,custom:!0,code:i,implements:r.implements}),n.custom[e]=r}return n.keywords[e]=n.all[e]=!0,this},get:function(e){var t=this.RULES.custom[e];return t?t.definition:this.RULES.keywords[e]||!1},remove:function(e){var t=this.RULES;delete t.keywords[e],delete t.all[e],delete t.custom[e];for(var n=0;n<t.length;n++)for(var r=t[n].rules,i=0;i<r.length;i++)if(r[i].keyword==e){r.splice(i,1);break}return this},validate:function e(t,n){e.errors=null;var r=this._validateKeyword=this._validateKeyword||this.compile(s,!0);if(r(t))return!0;if(e.errors=r.errors,n)throw new Error(\"custom keyword definition is invalid: \"+this.errorsText(r.errors));return!1}}},2303:function(e){\"use strict\";e.exports=function e(t,n){if(t===n)return!0;if(t&&n&&\"object\"==typeof t&&\"object\"==typeof n){if(t.constructor!==n.constructor)return!1;var r,i,s;if(Array.isArray(t)){if((r=t.length)!=n.length)return!1;for(i=r;0!=i--;)if(!e(t[i],n[i]))return!1;return!0}if(t.constructor===RegExp)return t.source===n.source&&t.flags===n.flags;if(t.valueOf!==Object.prototype.valueOf)return t.valueOf()===n.valueOf();if(t.toString!==Object.prototype.toString)return t.toString()===n.toString();if((r=(s=Object.keys(t)).length)!==Object.keys(n).length)return!1;for(i=r;0!=i--;)if(!Object.prototype.hasOwnProperty.call(n,s[i]))return!1;for(i=r;0!=i--;){var o=s[i];if(!e(t[o],n[o]))return!1}return!0}return t!=t&&n!=n}},3508:function(e){\"use strict\";e.exports=function(e,t){\"function\"==typeof(t=t||{})&&(t={cmp:t});var n,r=\"boolean\"==typeof t.cycles&&t.cycles,i=t.cmp&&(n=t.cmp,function(e){return function(t,r){return n(t={key:t,value:e[t]},r={key:r,value:e[r]})}}),s=[];return function e(t){if(t&&t.toJSON&&\"function\"==typeof t.toJSON&&(t=t.toJSON()),void 0!==t){if(\"number\"==typeof t)return isFinite(t)?\"\"+t:\"null\";if(\"object\"!=typeof t)return JSON.stringify(t);if(Array.isArray(t)){for(a=\"[\",c=0;c<t.length;c++)c&&(a+=\",\"),a+=e(t[c])||\"null\";return a+\"]\"}if(null===t)return\"null\";if(-1!==s.indexOf(t)){if(r)return JSON.stringify(\"__cycle__\");throw new TypeError(\"Converting circular structure to JSON\")}for(var n=s.push(t)-1,o=Object.keys(t).sort(i&&i(t)),a=\"\",c=0;c<o.length;c++){var l=o[c],h=e(t[l]);h&&(a&&(a+=\",\"),a+=JSON.stringify(l)+\":\"+h)}return s.splice(n,1),\"{\"+a+\"}\"}}(e)}},233:function(e){e.exports=function e(t,n){\"use strict\";function r(t){return e.insensitive&&(\"\"+t).toLowerCase()||\"\"+t}var i,s,o=/(^([+\\-]?(?:0|[1-9]\\d*)(?:\\.\\d*)?(?:[eE][+\\-]?\\d+)?)?$|^0x[0-9a-f]+$|\\d+)/gi,a=/(^[ ]*|[ ]*$)/g,c=/(^([\\w ]+,?[\\w ]+)?[\\w ]+,?[\\w ]+\\d+:\\d+(:\\d+)?[\\w ]?|^\\d{1,4}[\\/\\-]\\d{1,4}[\\/\\-]\\d{1,4}|^\\w+, \\w+ \\d+, \\d{4})/,l=/^0x[0-9a-f]+$/i,h=/^0/,d=(t=r(t).replace(a,\"\")||\"\",a=r(n).replace(a,\"\")||\"\",t.replace(o,\"\\0$1\\0\").replace(/\\0$/,\"\").replace(/^\\0/,\"\").split(\"\\0\")),u=a.replace(o,\"\\0$1\\0\").replace(/\\0$/,\"\").replace(/^\\0/,\"\").split(\"\\0\");if(t=parseInt(t.match(l),16)||1!==d.length&&t.match(c)&&Date.parse(t),a=parseInt(a.match(l),16)||t&&a.match(c)&&Date.parse(a)||null){if(t<a)return-1;if(a<t)return 1}for(var f=0,g=Math.max(d.length,u.length);f<g;f++){if(i=!(d[f]||\"\").match(h)&&parseFloat(d[f])||d[f]||0,s=!(u[f]||\"\").match(h)&&parseFloat(u[f])||u[f]||0,isNaN(i)!==isNaN(s))return isNaN(i)?1:-1;if(typeof i!=typeof s&&(i+=\"\",s+=\"\"),i<s)return-1;if(s<i)return 1}return 0}},5156:function(e,t){!function(e){\"use strict\";function t(e){return null!==e&&\"[object Array]\"===Object.prototype.toString.call(e)}function n(e){return null!==e&&\"[object Object]\"===Object.prototype.toString.call(e)}function r(e,i){if(e===i)return!0;if(Object.prototype.toString.call(e)!==Object.prototype.toString.call(i))return!1;if(!0===t(e)){if(e.length!==i.length)return!1;for(var s=0;s<e.length;s++)if(!1===r(e[s],i[s]))return!1;return!0}if(!0!==n(e))return!1;var o,a,c={};for(o in e)if(hasOwnProperty.call(e,o)){if(!1===r(e[o],i[o]))return!1;c[o]=!0}for(a in i)if(hasOwnProperty.call(i,a)&&!0!==c[a])return!1;return!0}function i(e){if(\"\"===e||!1===e||null===e)return!0;if(t(e)&&0===e.length)return!0;if(n(e)){for(var r in e)if(e.hasOwnProperty(r))return!1;return!0}return!1}var s=\"function\"==typeof String.prototype.trimLeft?function(e){return e.trimLeft()}:function(e){return e.match(/^\\s*(.*)/)[1]},o=0,a=2,c=\"UnquotedIdentifier\",l=\"QuotedIdentifier\",h=\"Rbracket\",d=\"Rparen\",u=\"Comma\",f=\"Colon\",g=\"Rbrace\",p=\"Number\",m=\"Current\",C=\"Expref\",b=\"Pipe\",v=\"Flatten\",I=\"Star\",A=\"Filter\",y=\"Lbrace\",w=\"Lbracket\",S=\"Lparen\",x=\"Literal\",E={\".\":\"Dot\",\"*\":I,\",\":u,\":\":f,\"{\":y,\"}\":g,\"]\":h,\"(\":S,\")\":d,\"@\":m},k={\"<\":!0,\">\":!0,\"=\":!0,\"!\":!0},_={\" \":!0,\"\\t\":!0,\"\\n\":!0};function T(e){return\"0\"<=e&&e<=\"9\"||\"-\"===e}function R(){}R.prototype={tokenize:function(e){var t,n,r,i,s=[];for(this._current=0;this._current<e.length;)if(\"a\"<=(i=e[this._current])&&i<=\"z\"||\"A\"<=i&&i<=\"Z\"||\"_\"===i)t=this._current,n=this._consumeUnquotedIdentifier(e),s.push({type:c,value:n,start:t});else if(void 0!==E[e[this._current]])s.push({type:E[e[this._current]],value:e[this._current],start:this._current}),this._current++;else if(T(e[this._current]))r=this._consumeNumber(e),s.push(r);else if(\"[\"===e[this._current])r=this._consumeLBracket(e),s.push(r);else if('\"'===e[this._current])t=this._current,n=this._consumeQuotedIdentifier(e),s.push({type:l,value:n,start:t});else if(\"'\"===e[this._current])t=this._current,n=this._consumeRawStringLiteral(e),s.push({type:x,value:n,start:t});else if(\"`\"===e[this._current]){t=this._current;var o=this._consumeLiteral(e);s.push({type:x,value:o,start:t})}else if(void 0!==k[e[this._current]])s.push(this._consumeOperator(e));else if(void 0!==_[e[this._current]])this._current++;else if(\"&\"===e[this._current])t=this._current,this._current++,\"&\"===e[this._current]?(this._current++,s.push({type:\"And\",value:\"&&\",start:t})):s.push({type:C,value:\"&\",start:t});else{if(\"|\"!==e[this._current])throw(o=new Error(\"Unknown character:\"+e[this._current])).name=\"LexerError\",o;t=this._current,this._current++,\"|\"===e[this._current]?(this._current++,s.push({type:\"Or\",value:\"||\",start:t})):s.push({type:b,value:\"|\",start:t})}return s},_consumeUnquotedIdentifier:function(e){var t,n=this._current;for(this._current++;this._current<e.length&&(\"a\"<=(t=e[this._current])&&t<=\"z\"||\"A\"<=t&&t<=\"Z\"||\"0\"<=t&&t<=\"9\"||\"_\"===t);)this._current++;return e.slice(n,this._current)},_consumeQuotedIdentifier:function(e){var t=this._current;this._current++;for(var n=e.length;'\"'!==e[this._current]&&this._current<n;){var r=this._current;\"\\\\\"!==e[r]||\"\\\\\"!==e[r+1]&&'\"'!==e[r+1]?r++:r+=2,this._current=r}return this._current++,JSON.parse(e.slice(t,this._current))},_consumeRawStringLiteral:function(e){var t=this._current;this._current++;for(var n=e.length;\"'\"!==e[this._current]&&this._current<n;){var r=this._current;\"\\\\\"!==e[r]||\"\\\\\"!==e[r+1]&&\"'\"!==e[r+1]?r++:r+=2,this._current=r}return this._current++,e.slice(t+1,this._current-1).replace(\"\\\\'\",\"'\")},_consumeNumber:function(e){var t=this._current;this._current++;for(var n=e.length;T(e[this._current])&&this._current<n;)this._current++;var r=parseInt(e.slice(t,this._current));return{type:p,value:r,start:t}},_consumeLBracket:function(e){var t=this._current;return this._current++,\"?\"===e[this._current]?(this._current++,{type:A,value:\"[?\",start:t}):\"]\"===e[this._current]?(this._current++,{type:v,value:\"[]\",start:t}):{type:w,value:\"[\",start:t}},_consumeOperator:function(e){var t=this._current,n=e[t];return this._current++,\"!\"===n?\"=\"===e[this._current]?(this._current++,{type:\"NE\",value:\"!=\",start:t}):{type:\"Not\",value:\"!\",start:t}:\"<\"===n?\"=\"===e[this._current]?(this._current++,{type:\"LTE\",value:\"<=\",start:t}):{type:\"LT\",value:\"<\",start:t}:\">\"===n?\"=\"===e[this._current]?(this._current++,{type:\"GTE\",value:\">=\",start:t}):{type:\"GT\",value:\">\",start:t}:\"=\"===n&&\"=\"===e[this._current]?(this._current++,{type:\"EQ\",value:\"==\",start:t}):void 0},_consumeLiteral:function(e){this._current++;for(var t=this._current,n=e.length;\"`\"!==e[this._current]&&this._current<n;){var r=this._current;\"\\\\\"!==e[r]||\"\\\\\"!==e[r+1]&&\"`\"!==e[r+1]?r++:r+=2,this._current=r}return t=(t=s(e.slice(t,this._current))).replace(\"\\\\`\",\"`\"),t=this._looksLikeJSON(t)?JSON.parse(t):JSON.parse('\"'+t+'\"'),this._current++,t},_looksLikeJSON:function(e){if(\"\"===e)return!1;if(0<='[{\"'.indexOf(e[0]))return!0;if(0<=[\"true\",\"false\",\"null\"].indexOf(e))return!0;if(!(0<=\"-0123456789\".indexOf(e[0])))return!1;try{return JSON.parse(e),!0}catch(e){return!1}}};var B={};function O(){}function L(e){this.runtime=e}function P(e){this._interpreter=e,this.functionTable={abs:{_func:this._functionAbs,_signature:[{types:[o]}]},avg:{_func:this._functionAvg,_signature:[{types:[8]}]},ceil:{_func:this._functionCeil,_signature:[{types:[o]}]},contains:{_func:this._functionContains,_signature:[{types:[a,3]},{types:[1]}]},ends_with:{_func:this._functionEndsWith,_signature:[{types:[a]},{types:[a]}]},floor:{_func:this._functionFloor,_signature:[{types:[o]}]},length:{_func:this._functionLength,_signature:[{types:[a,3,4]}]},map:{_func:this._functionMap,_signature:[{types:[6]},{types:[3]}]},max:{_func:this._functionMax,_signature:[{types:[8,9]}]},merge:{_func:this._functionMerge,_signature:[{types:[4],variadic:!0}]},max_by:{_func:this._functionMaxBy,_signature:[{types:[3]},{types:[6]}]},sum:{_func:this._functionSum,_signature:[{types:[8]}]},starts_with:{_func:this._functionStartsWith,_signature:[{types:[a]},{types:[a]}]},min:{_func:this._functionMin,_signature:[{types:[8,9]}]},min_by:{_func:this._functionMinBy,_signature:[{types:[3]},{types:[6]}]},type:{_func:this._functionType,_signature:[{types:[1]}]},keys:{_func:this._functionKeys,_signature:[{types:[4]}]},values:{_func:this._functionValues,_signature:[{types:[4]}]},sort:{_func:this._functionSort,_signature:[{types:[9,8]}]},sort_by:{_func:this._functionSortBy,_signature:[{types:[3]},{types:[6]}]},join:{_func:this._functionJoin,_signature:[{types:[a]},{types:[9]}]},reverse:{_func:this._functionReverse,_signature:[{types:[a,3]}]},to_array:{_func:this._functionToArray,_signature:[{types:[1]}]},to_string:{_func:this._functionToString,_signature:[{types:[1]}]},to_number:{_func:this._functionToNumber,_signature:[{types:[1]}]},not_null:{_func:this._functionNotNull,_signature:[{types:[1],variadic:!0}]}}}B.EOF=0,B[c]=0,B[l]=0,B[h]=0,B[d]=0,B[u]=0,B[g]=0,B[p]=0,B[m]=0,B[C]=0,B.Pipe=1,B.Or=2,B.And=3,B.EQ=5,B.GT=5,B.LT=5,B.GTE=5,B.LTE=5,B.NE=5,B[v]=9,B.Star=20,B[A]=21,B.Dot=40,B.Not=45,B[y]=50,B[w]=55,B[S]=60,O.prototype={parse:function(e){if(this._loadTokens(e),this.index=0,e=this.expression(0),\"EOF\"===this._lookahead(0))return e;throw e=this._lookaheadToken(0),(e=new Error(\"Unexpected token type: \"+e.type+\", value: \"+e.value)).name=\"ParserError\",e},_loadTokens:function(e){var t=(new R).tokenize(e);t.push({type:\"EOF\",value:\"\",start:e.length}),this.tokens=t},expression:function(e){var t=this._lookaheadToken(0);this._advance();for(var n=this.nud(t),r=this._lookahead(0);e<B[r];)this._advance(),n=this.led(r,n),r=this._lookahead(0);return n},_lookahead:function(e){return this.tokens[this.index+e].type},_lookaheadToken:function(e){return this.tokens[this.index+e]},_advance:function(){this.index++},nud:function(e){var t,n;switch(e.type){case x:return{type:\"Literal\",value:e.value};case c:return{type:\"Field\",name:e.value};case l:var r={type:\"Field\",name:e.value};if(this._lookahead(0)===S)throw new Error(\"Quoted identifier not allowed for function names.\");return r;case\"Not\":return{type:\"NotExpression\",children:[t=this.expression(B.Not)]};case I:return 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r={cb:\"0f8ff\",tqw:\"aebd7\",q:\"-ffff\",qmrn:\"7fffd4\",zr:\"0ffff\",bg:\"5f5dc\",bsq:\"e4c4\",bck:\"---\",nch:\"ebcd\",b:\"--ff\",bvt:\"8a2be2\",brwn:\"a52a2a\",brw:\"deb887\",ctb:\"5f9ea0\",hrt:\"7fff-\",chcT:\"d2691e\",cr:\"7f50\",rnw:\"6495ed\",crns:\"8dc\",crms:\"dc143c\",cn:\"-ffff\",Db:\"--8b\",Dcn:\"-8b8b\",Dgnr:\"b8860b\",Dgr:\"a9a9a9\",Dgrn:\"-64-\",Dkhk:\"bdb76b\",Dmgn:\"8b-8b\",Dvgr:\"556b2f\",Drng:\"8c-\",Drch:\"9932cc\",Dr:\"8b--\",Dsmn:\"e9967a\",Dsgr:\"8fbc8f\",DsTb:\"483d8b\",DsTg:\"2f4f4f\",Dtrq:\"-ced1\",Dvt:\"94-d3\",ppnk:\"1493\",pskb:\"-bfff\",mgr:\"696969\",grb:\"1e90ff\",rbrc:\"b22222\",rwht:\"af0\",stg:\"228b22\",chs:\"-ff\",gnsb:\"dcdcdc\",st:\"8f8ff\",g:\"d7-\",gnr:\"daa520\",gr:\"808080\",grn:\"-8-0\",grnw:\"adff2f\",hnw:\"0fff0\",htpn:\"69b4\",nnr:\"cd5c5c\",ng:\"4b-82\",vr:\"0\",khk:\"0e68c\",vnr:\"e6e6fa\",nrb:\"0f5\",wngr:\"7cfc-\",mnch:\"acd\",Lb:\"add8e6\",Lcr:\"08080\",Lcn:\"e0ffff\",Lgnr:\"afad2\",Lgr:\"d3d3d3\",Lgrn:\"90ee90\",Lpnk:\"b6c1\",Lsmn:\"a07a\",Lsgr:\"20b2aa\",Lskb:\"87cefa\",LsTg:\"778899\",Lstb:\"b0c4de\",Lw:\"e0\",m:\"-ff-\",mgrn:\"32cd32\",nn:\"af0e6\",mgnt:\"-ff\",mrn:\"8--0\",mqm:\"66cdaa\",mmb:\"--cd\",mmrc:\"ba55d3\",mmpr:\"9370db\",msg:\"3cb371\",mmsT:\"7b68ee\",\"\":\"-fa9a\",mtr:\"48d1cc\",mmvt:\"c71585\",mnLb:\"191970\",ntc:\"5fffa\",mstr:\"e4e1\",mccs:\"e4b5\",vjw:\"dead\",nv:\"--80\",c:\"df5e6\",v:\"808-0\",vrb:\"6b8e23\",rng:\"a5-\",rngr:\"45-\",rch:\"da70d6\",pgnr:\"eee8aa\",pgrn:\"98fb98\",ptrq:\"afeeee\",pvtr:\"db7093\",ppwh:\"efd5\",pchp:\"dab9\",pr:\"cd853f\",pnk:\"c0cb\",pm:\"dda0dd\",pwrb:\"b0e0e6\",prp:\"8-080\",cc:\"663399\",r:\"--\",sbr:\"bc8f8f\",rb:\"4169e1\",sbrw:\"8b4513\",smn:\"a8072\",nbr:\"4a460\",sgrn:\"2e8b57\",ssh:\"5ee\",snn:\"a0522d\",svr:\"c0c0c0\",skb:\"87ceeb\",sTb:\"6a5acd\",sTgr:\"708090\",snw:\"afa\",n:\"-ff7f\",stb:\"4682b4\",tn:\"d2b48c\",t:\"-8080\",thst:\"d8bfd8\",tmT:\"6347\",trqs:\"40e0d0\",vt:\"ee82ee\",whT:\"5deb3\",wht:\"\",hts:\"5f5f5\",w:\"-\",wgrn:\"9acd32\"};function i(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1;return(t>0?e.toFixed(t).replace(/0+$/,\"\").replace(/\\.$/,\"\"):e.toString())||\"0\"}var s=function(){function s(t,r,i,o){e(this,s);var a=this;if(void 0===t);else if(Array.isArray(t))this.rgba=t;else if(void 0===i){var c=t&&\"\"+t;c&&function(e){if(e.startsWith(\"hsl\")){var t=e.match(/([\\-\\d\\.e]+)/g).map(Number),r=n(t,4),i=r[0],o=r[1],c=r[2],l=r[3];void 0===l&&(l=1),a.hsla=[i/=360,o/=100,c/=100,l]}else if(e.startsWith(\"rgb\")){var h=e.match(/([\\-\\d\\.e]+)/g).map(Number),d=n(h,4),u=d[3];void 0===u&&(u=1),a.rgba=[d[0],d[1],d[2],u]}else a.rgba=e.startsWith(\"#\")?s.hexToRgb(e):s.nameToRgb(e)||s.hexToRgb(e)}(c.toLowerCase())}else this.rgba=[t,r,i,void 0===o?1:o]}return t(s,[{key:\"printRGB\",value:function(e){var t=(e?this.rgba:this.rgba.slice(0,3)).map((function(e,t){return i(e,3===t?3:0)}));return e?\"rgba(\"+t+\")\":\"rgb(\"+t+\")\"}},{key:\"printHSL\",value:function(e){var t=[360,100,100,1],n=[\"\",\"%\",\"%\",\"\"],r=(e?this.hsla:this.hsla.slice(0,3)).map((function(e,r){return i(e*t[r],3===r?3:1)+n[r]}));return e?\"hsla(\"+r+\")\":\"hsl(\"+r+\")\"}},{key:\"printHex\",value:function(e){var t=this.hex;return e?t:t.substring(0,7)}},{key:\"rgba\",get:function(){if(this._rgba)return this._rgba;if(!this._hsla)throw new Error(\"No color is set\");return this._rgba=s.hslToRgb(this._hsla)},set:function(e){3===e.length&&(e[3]=1),this._rgba=e,this._hsla=null}},{key:\"rgbString\",get:function(){return this.printRGB()}},{key:\"rgbaString\",get:function(){return this.printRGB(!0)}},{key:\"hsla\",get:function(){if(this._hsla)return this._hsla;if(!this._rgba)throw new Error(\"No color is set\");return this._hsla=s.rgbToHsl(this._rgba)},set:function(e){3===e.length&&(e[3]=1),this._hsla=e,this._rgba=null}},{key:\"hslString\",get:function(){return this.printHSL()}},{key:\"hslaString\",get:function(){return this.printHSL(!0)}},{key:\"hex\",get:function(){return\"#\"+this.rgba.map((function(e,t){return t<3?e.toString(16):Math.round(255*e).toString(16)})).map((function(e){return e.padStart(2,\"0\")})).join(\"\")},set:function(e){this.rgba=s.hexToRgb(e)}}],[{key:\"hexToRgb\",value:function(e){var t=(e.startsWith(\"#\")?e.slice(1):e).replace(/^(\\w{3})$/,\"$1F\").replace(/^(\\w)(\\w)(\\w)(\\w)$/,\"$1$1$2$2$3$3$4$4\").replace(/^(\\w{6})$/,\"$1FF\");if(!t.match(/^([0-9a-fA-F]{8})$/))throw new Error(\"Unknown hex color; \"+e);var n=t.match(/^(\\w\\w)(\\w\\w)(\\w\\w)(\\w\\w)$/).slice(1).map((function(e){return parseInt(e,16)}));return n[3]=n[3]/255,n}},{key:\"nameToRgb\",value:function(e){var t=e.toLowerCase().replace(\"at\",\"T\").replace(/[aeiouyldf]/g,\"\").replace(\"ght\",\"L\").replace(\"rk\",\"D\").slice(-5,4),n=r[t];return void 0===n?n:s.hexToRgb(n.replace(/\\-/g,\"00\").padStart(6,\"f\"))}},{key:\"rgbToHsl\",value:function(e){var t=n(e,4),r=t[0],i=t[1],s=t[2],o=t[3];r/=255,i/=255,s/=255;var a=Math.max(r,i,s),c=Math.min(r,i,s),l=void 0,h=void 0,d=(a+c)/2;if(a===c)l=h=0;else{var u=a-c;switch(h=d>.5?u/(2-a-c):u/(a+c),a){case r:l=(i-s)/u+(i<s?6:0);break;case i:l=(s-r)/u+2;break;case s:l=(r-i)/u+4}l/=6}return[l,h,d,o]}},{key:\"hslToRgb\",value:function(e){var t=n(e,4),r=t[0],i=t[1],s=t[2],o=t[3],a=void 0,c=void 0,l=void 0;if(0===i)a=c=l=s;else{var h=function(e,t,n){return n<0&&(n+=1),n>1&&(n-=1),n<1/6?e+6*(t-e)*n:n<.5?t:n<2/3?e+(t-e)*(2/3-n)*6:e},d=s<.5?s*(1+i):s+i-s*i,u=2*s-d;a=h(u,d,r+1/3),c=h(u,d,r),l=h(u,d,r-1/3)}var f=[255*a,255*c,255*l].map(Math.round);return f[3]=o,f}}]),s}(),o=function(){function n(){e(this,n),this._events=[]}return t(n,[{key:\"add\",value:function(e,t,n){e.addEventListener(t,n,!1),this._events.push({target:e,type:t,handler:n})}},{key:\"remove\",value:function(e,t,r){this._events=this._events.filter((function(i){var s=!0;return e&&e!==i.target&&(s=!1),t&&t!==i.type&&(s=!1),r&&r!==i.handler&&(s=!1),s&&n._doRemove(i.target,i.type,i.handler),!s}))}},{key:\"destroy\",value:function(){this._events.forEach((function(e){return n._doRemove(e.target,e.type,e.handler)})),this._events=[]}}],[{key:\"_doRemove\",value:function(e,t,n){e.removeEventListener(t,n,!1)}}]),n}();function a(e,t,n){var r=!1;function i(e,t,n){return Math.max(t,Math.min(e,n))}function s(e,s,o){if(o&&(r=!0),r){e.preventDefault();var a=t.getBoundingClientRect(),c=a.width,l=a.height,h=s.clientY,d=i(s.clientX-a.left,0,c),u=i(h-a.top,0,l);n(d/c,u/l)}}function o(e,t){1===(void 0===e.buttons?e.which:e.buttons)?s(e,e,t):r=!1}function a(e,t){1===e.touches.length?s(e,e.touches[0],t):r=!1}e.add(t,\"mousedown\",(function(e){o(e,!0)})),e.add(t,\"touchstart\",(function(e){a(e,!0)})),e.add(window,\"mousemove\",o),e.add(t,\"touchmove\",a),e.add(window,\"mouseup\",(function(e){r=!1})),e.add(t,\"touchend\",(function(e){r=!1})),e.add(t,\"touchcancel\",(function(e){r=!1}))}var c=\"mousedown\",l=\"focusin\";function h(e,t){return(t||document).querySelector(e)}function d(e){e.preventDefault(),e.stopPropagation()}function u(e,t,n,r,i){e.add(t,\"keydown\",(function(e){n.indexOf(e.key)>=0&&(i&&d(e),r(e))}))}var f=document.createElement(\"style\");return f.textContent=\".picker_wrapper.no_alpha .picker_alpha{display:none}.picker_wrapper.no_editor .picker_editor{position:absolute;z-index:-1;opacity:0}.picker_wrapper.no_cancel .picker_cancel{display:none}.layout_default.picker_wrapper{display:-webkit-box;display:flex;-webkit-box-orient:horizontal;-webkit-box-direction:normal;flex-flow:row wrap;-webkit-box-pack:justify;justify-content:space-between;-webkit-box-align:stretch;align-items:stretch;font-size:10px;width:25em;padding:.5em}.layout_default.picker_wrapper input,.layout_default.picker_wrapper button{font-size:1rem}.layout_default.picker_wrapper>*{margin:.5em}.layout_default.picker_wrapper::before{content:'';display:block;width:100%;height:0;-webkit-box-ordinal-group:2;order:1}.layout_default .picker_slider,.layout_default .picker_selector{padding:1em}.layout_default .picker_hue{width:100%}.layout_default .picker_sl{-webkit-box-flex:1;flex:1 1 auto}.layout_default .picker_sl::before{content:'';display:block;padding-bottom:100%}.layout_default .picker_editor{-webkit-box-ordinal-group:2;order:1;width:6.5rem}.layout_default .picker_editor input{width:100%;height:100%}.layout_default .picker_sample{-webkit-box-ordinal-group:2;order:1;-webkit-box-flex:1;flex:1 1 auto}.layout_default .picker_done,.layout_default .picker_cancel{-webkit-box-ordinal-group:2;order:1}.picker_wrapper{box-sizing:border-box;background:#f2f2f2;box-shadow:0 0 0 1px silver;cursor:default;font-family:sans-serif;color:#444;pointer-events:auto}.picker_wrapper:focus{outline:none}.picker_wrapper button,.picker_wrapper input{box-sizing:border-box;border:none;box-shadow:0 0 0 1px silver;outline:none}.picker_wrapper button:focus,.picker_wrapper button:active,.picker_wrapper input:focus,.picker_wrapper input:active{box-shadow:0 0 2px 1px dodgerblue}.picker_wrapper button{padding:.4em .6em;cursor:pointer;background-color:whitesmoke;background-image:-webkit-gradient(linear, left bottom, left top, from(gainsboro), to(transparent));background-image:linear-gradient(0deg, gainsboro, transparent)}.picker_wrapper button:active{background-image:-webkit-gradient(linear, left bottom, left top, from(transparent), to(gainsboro));background-image:linear-gradient(0deg, transparent, gainsboro)}.picker_wrapper button:hover{background-color:white}.picker_selector{position:absolute;z-index:1;display:block;-webkit-transform:translate(-50%, -50%);transform:translate(-50%, -50%);border:2px solid white;border-radius:100%;box-shadow:0 0 3px 1px #67b9ff;background:currentColor;cursor:pointer}.picker_slider .picker_selector{border-radius:2px}.picker_hue{position:relative;background-image:-webkit-gradient(linear, left top, right top, from(red), color-stop(yellow), color-stop(lime), color-stop(cyan), color-stop(blue), color-stop(magenta), to(red));background-image:linear-gradient(90deg, red, yellow, lime, cyan, blue, magenta, red);box-shadow:0 0 0 1px silver}.picker_sl{position:relative;box-shadow:0 0 0 1px silver;background-image:-webkit-gradient(linear, left top, left bottom, from(white), color-stop(50%, rgba(255,255,255,0))),-webkit-gradient(linear, left bottom, left top, from(black), color-stop(50%, rgba(0,0,0,0))),-webkit-gradient(linear, left top, right top, from(gray), to(rgba(128,128,128,0)));background-image:linear-gradient(180deg, white, rgba(255,255,255,0) 50%),linear-gradient(0deg, black, rgba(0,0,0,0) 50%),linear-gradient(90deg, gray, rgba(128,128,128,0))}.picker_alpha,.picker_sample{position:relative;background:url(\\\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='2' height='2'%3E%3Cpath d='M1,0H0V1H2V2H1' fill='lightgrey'/%3E%3C/svg%3E\\\") left top/contain white;box-shadow:0 0 0 1px silver}.picker_alpha .picker_selector,.picker_sample .picker_selector{background:none}.picker_editor input{font-family:monospace;padding:.2em .4em}.picker_sample::before{content:'';position:absolute;display:block;width:100%;height:100%;background:currentColor}.picker_arrow{position:absolute;z-index:-1}.picker_wrapper.popup{position:absolute;z-index:2;margin:1.5em}.picker_wrapper.popup,.picker_wrapper.popup .picker_arrow::before,.picker_wrapper.popup .picker_arrow::after{background:#f2f2f2;box-shadow:0 0 10px 1px rgba(0,0,0,0.4)}.picker_wrapper.popup .picker_arrow{width:3em;height:3em;margin:0}.picker_wrapper.popup .picker_arrow::before,.picker_wrapper.popup .picker_arrow::after{content:\\\"\\\";display:block;position:absolute;top:0;left:0;z-index:-99}.picker_wrapper.popup .picker_arrow::before{width:100%;height:100%;-webkit-transform:skew(45deg);transform:skew(45deg);-webkit-transform-origin:0 100%;transform-origin:0 100%}.picker_wrapper.popup .picker_arrow::after{width:150%;height:150%;box-shadow:none}.popup.popup_top{bottom:100%;left:0}.popup.popup_top .picker_arrow{bottom:0;left:0;-webkit-transform:rotate(-90deg);transform:rotate(-90deg)}.popup.popup_bottom{top:100%;left:0}.popup.popup_bottom .picker_arrow{top:0;left:0;-webkit-transform:rotate(90deg) scale(1, -1);transform:rotate(90deg) scale(1, -1)}.popup.popup_left{top:0;right:100%}.popup.popup_left .picker_arrow{top:0;right:0;-webkit-transform:scale(-1, 1);transform:scale(-1, 1)}.popup.popup_right{top:0;left:100%}.popup.popup_right .picker_arrow{top:0;left:0}\",document.documentElement.firstElementChild.appendChild(f),function(){function n(t){e(this,n),this.settings={popup:\"right\",layout:\"default\",alpha:!0,editor:!0,editorFormat:\"hex\",cancelButton:!1,defaultColor:\"#0cf\"},this._events=new o,this.onChange=null,this.onDone=null,this.onOpen=null,this.onClose=null,this.setOptions(t)}return t(n,[{key:\"setOptions\",value:function(e){var t,n,r,i=this;e&&(t=this.settings,e instanceof HTMLElement?t.parent=e:(t.parent&&e.parent&&t.parent!==e.parent&&(this._events.remove(t.parent),this._popupInited=!1),function(e,t,n){for(var r in e)t[r]=e[r]}(e,t),e.onChange&&(this.onChange=e.onChange),e.onDone&&(this.onDone=e.onDone),e.onOpen&&(this.onOpen=e.onOpen),e.onClose&&(this.onClose=e.onClose),(r=e.color||e.colour)&&this._setColor(r)),(n=t.parent)&&t.popup&&!this._popupInited?(this._events.add(n,\"click\",r=function(e){return i.openHandler(e)}),u(this._events,n,[\" \",\"Spacebar\",\"Enter\"],r),this._popupInited=!0):e.parent&&!t.popup&&this.show())}},{key:\"openHandler\",value:function(e){var t;this.show()&&(e&&e.preventDefault(),this.settings.parent.style.pointerEvents=\"none\",t=e&&\"keydown\"===e.type?this._domEdit:this.domElement,setTimeout((function(){return t.focus()}),100),this.onOpen&&this.onOpen(this.colour))}},{key:\"closeHandler\",value:function(e){var t=e&&e.type,n=!1;e?t===c||t===l?e.timeStamp>(this.__containedEvent||0)+100&&(n=!0):(d(e),n=!0):n=!0,n&&this.hide()&&(this.settings.parent.style.pointerEvents=\"\",t!==c&&this.settings.parent.focus(),this.onClose&&this.onClose(this.colour))}},{key:\"movePopup\",value:function(e,t){this.closeHandler(),this.setOptions(e),t&&this.openHandler()}},{key:\"setColor\",value:function(e,t){this._setColor(e,{silent:t})}},{key:\"_setColor\",value:function(e,t){if(\"string\"==typeof e&&(e=e.trim()),e){t=t||{};var n,r=void 0;try{r=new s(e)}catch(e){if(t.failSilently)return;throw e}this.settings.alpha||((n=r.hsla)[3]=1,r.hsla=n),this.colour=this.color=r,this._setHSLA(null,null,null,null,t)}}},{key:\"setColour\",value:function(e,t){this.setColor(e,t)}},{key:\"show\",value:function(){if(!this.settings.parent)return!1;if(this.domElement){var e=this._toggleDOM(!0);return this._setPosition(),e}var t=this.settings.template||'<div class=\"picker_wrapper\" tabindex=\"-1\"><div class=\"picker_arrow\"></div><div class=\"picker_hue picker_slider\"><div class=\"picker_selector\"></div></div><div class=\"picker_sl\"><div class=\"picker_selector\"></div></div><div class=\"picker_alpha picker_slider\"><div class=\"picker_selector\"></div></div><div class=\"picker_editor\"><input aria-label=\"Type a color name or hex value\"/></div><div class=\"picker_sample\"></div><div class=\"picker_done\"><button>Ok</button></div><div class=\"picker_cancel\"><button>Cancel</button></div></div>',n=(e=t,(t=document.createElement(\"div\")).innerHTML=e,t.firstElementChild);return 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t}_updateControlsErrors(t){this.status=this._calculateStatus(),t&&this.statusChanges.emit(this.status),this._parent&&this._parent._updateControlsErrors(t)}_initObservables(){this.valueChanges=new r.s,this.statusChanges=new r.s}_calculateStatus(){return this._allControlsDisabled()?ct:this.errors?st:this._hasOwnPendingAsyncValidator||this._anyControlsHaveStatus(lt)?lt:this._anyControlsHaveStatus(st)?st:ot}_anyControlsHaveStatus(t){return this._anyControls(e=>e.status===t)}_anyControlsDirty(){return this._anyControls(t=>t.dirty)}_anyControlsTouched(){return this._anyControls(t=>t.touched)}_updatePristine(t={}){this.pristine=!this._anyControlsDirty(),this._parent&&!t.onlySelf&&this._parent._updatePristine(t)}_updateTouched(t={}){this.touched=this._anyControlsTouched(),this._parent&&!t.onlySelf&&this._parent._updateTouched(t)}_isBoxedValue(t){return\"object\"==typeof t&&null!==t&&2===Object.keys(t).length&&\"value\"in t&&\"disabled\"in t}_registerOnCollectionChange(t){this._onCollectionChange=t}_setUpdateStrategy(t){pt(t)&&null!=t.updateOn&&(this._updateOn=t.updateOn)}_parentMarkedDirty(t){return!t&&!(!this._parent||!this._parent.dirty)&&!this._parent._anyControlsDirty()}}class gt extends mt{constructor(t=null,e,n){super(ut(e),dt(n,e)),this._onChange=[],this._applyFormState(t),this._setUpdateStrategy(e),this._initObservables(),this.updateValueAndValidity({onlySelf:!0,emitEvent:!!n})}setValue(t,e={}){this.value=this._pendingValue=t,this._onChange.length&&!1!==e.emitModelToViewChange&&this._onChange.forEach(t=>t(this.value,!1!==e.emitViewToModelChange)),this.updateValueAndValidity(e)}patchValue(t,e={}){this.setValue(t,e)}reset(t=null,e={}){this._applyFormState(t),this.markAsPristine(e),this.markAsUntouched(e),this.setValue(this.value,e),this._pendingChange=!1}_updateValue(){}_anyControls(t){return!1}_allControlsDisabled(){return 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bt=(c+(r=r+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(d,Q)|0))<<13)|0;c=((a=a+Math.imul(d,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,r=Math.imul(S,Y),i=(i=Math.imul(S,H))+Math.imul(A,Y)|0,a=Math.imul(A,H),r=r+Math.imul(k,U)|0,i=(i=i+Math.imul(k,W)|0)+Math.imul(M,U)|0,a=a+Math.imul(M,W)|0,r=r+Math.imul(b,G)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(x,G)|0,a=a+Math.imul(x,X)|0,r=r+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0,r=r+Math.imul(p,Q)|0,i=(i=i+Math.imul(p,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var xt=(c+(r=r+Math.imul(h,nt)|0)|0)+((8191&(i=(i=i+Math.imul(h,rt)|0)+Math.imul(d,nt)|0))<<13)|0;c=((a=a+Math.imul(d,rt)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,r=Math.imul(C,Y),i=(i=Math.imul(C,H))+Math.imul(E,Y)|0,a=Math.imul(E,H),r=r+Math.imul(S,U)|0,i=(i=i+Math.imul(S,W)|0)+Math.imul(A,U)|0,a=a+Math.imul(A,W)|0,r=r+Math.imul(k,G)|0,i=(i=i+Math.imul(k,X)|0)+Math.imul(M,G)|0,a=a+Math.imul(M,X)|0,r=r+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(x,J)|0,a=a+Math.imul(x,K)|0,r=r+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,r=r+Math.imul(p,nt)|0,i=(i=i+Math.imul(p,rt)|0)+Math.imul(m,nt)|0,a=a+Math.imul(m,rt)|0;var wt=(c+(r=r+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(d,at)|0))<<13)|0;c=((a=a+Math.imul(d,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,r=Math.imul(D,Y),i=(i=Math.imul(D,H))+Math.imul(I,Y)|0,a=Math.imul(I,H),r=r+Math.imul(C,U)|0,i=(i=i+Math.imul(C,W)|0)+Math.imul(E,U)|0,a=a+Math.imul(E,W)|0,r=r+Math.imul(S,G)|0,i=(i=i+Math.imul(S,X)|0)+Math.imul(A,G)|0,a=a+Math.imul(A,X)|0,r=r+Math.imul(k,J)|0,i=(i=i+Math.imul(k,K)|0)+Math.imul(M,J)|0,a=a+Math.imul(M,K)|0,r=r+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(x,Q)|0,a=a+Math.imul(x,tt)|0,r=r+Math.imul(y,nt)|0,i=(i=i+Math.imul(y,rt)|0)+Math.imul(v,nt)|0,a=a+Math.imul(v,rt)|0,r=r+Math.imul(p,at)|0,i=(i=i+Math.imul(p,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var kt=(c+(r=r+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(d,lt)|0))<<13)|0;c=((a=a+Math.imul(d,ct)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,r=Math.imul(R,Y),i=(i=Math.imul(R,H))+Math.imul(z,Y)|0,a=Math.imul(z,H),r=r+Math.imul(D,U)|0,i=(i=i+Math.imul(D,W)|0)+Math.imul(I,U)|0,a=a+Math.imul(I,W)|0,r=r+Math.imul(C,G)|0,i=(i=i+Math.imul(C,X)|0)+Math.imul(E,G)|0,a=a+Math.imul(E,X)|0,r=r+Math.imul(S,J)|0,i=(i=i+Math.imul(S,K)|0)+Math.imul(A,J)|0,a=a+Math.imul(A,K)|0,r=r+Math.imul(k,Q)|0,i=(i=i+Math.imul(k,tt)|0)+Math.imul(M,Q)|0,a=a+Math.imul(M,tt)|0,r=r+Math.imul(b,nt)|0,i=(i=i+Math.imul(b,rt)|0)+Math.imul(x,nt)|0,a=a+Math.imul(x,rt)|0,r=r+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,r=r+Math.imul(p,lt)|0,i=(i=i+Math.imul(p,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var Mt=(c+(r=r+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,dt)|0)+Math.imul(d,ht)|0))<<13)|0;c=((a=a+Math.imul(d,dt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,r=Math.imul(F,Y),i=(i=Math.imul(F,H))+Math.imul(N,Y)|0,a=Math.imul(N,H),r=r+Math.imul(R,U)|0,i=(i=i+Math.imul(R,W)|0)+Math.imul(z,U)|0,a=a+Math.imul(z,W)|0,r=r+Math.imul(D,G)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(I,G)|0,a=a+Math.imul(I,X)|0,r=r+Math.imul(C,J)|0,i=(i=i+Math.imul(C,K)|0)+Math.imul(E,J)|0,a=a+Math.imul(E,K)|0,r=r+Math.imul(S,Q)|0,i=(i=i+Math.imul(S,tt)|0)+Math.imul(A,Q)|0,a=a+Math.imul(A,tt)|0,r=r+Math.imul(k,nt)|0,i=(i=i+Math.imul(k,rt)|0)+Math.imul(M,nt)|0,a=a+Math.imul(M,rt)|0,r=r+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(x,at)|0,a=a+Math.imul(x,ot)|0,r=r+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,r=r+Math.imul(p,ht)|0,i=(i=i+Math.imul(p,dt)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,dt)|0;var Tt=(c+(r=r+Math.imul(h,pt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(d,pt)|0))<<13)|0;c=((a=a+Math.imul(d,mt)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,r=Math.imul(F,U),i=(i=Math.imul(F,W))+Math.imul(N,U)|0,a=Math.imul(N,W),r=r+Math.imul(R,G)|0,i=(i=i+Math.imul(R,X)|0)+Math.imul(z,G)|0,a=a+Math.imul(z,X)|0,r=r+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,r=r+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(E,Q)|0,a=a+Math.imul(E,tt)|0,r=r+Math.imul(S,nt)|0,i=(i=i+Math.imul(S,rt)|0)+Math.imul(A,nt)|0,a=a+Math.imul(A,rt)|0,r=r+Math.imul(k,at)|0,i=(i=i+Math.imul(k,ot)|0)+Math.imul(M,at)|0,a=a+Math.imul(M,ot)|0,r=r+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(x,lt)|0,a=a+Math.imul(x,ct)|0,r=r+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,dt)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,dt)|0;var St=(c+(r=r+Math.imul(p,pt)|0)|0)+((8191&(i=(i=i+Math.imul(p,mt)|0)+Math.imul(m,pt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,r=Math.imul(F,G),i=(i=Math.imul(F,X))+Math.imul(N,G)|0,a=Math.imul(N,X),r=r+Math.imul(R,J)|0,i=(i=i+Math.imul(R,K)|0)+Math.imul(z,J)|0,a=a+Math.imul(z,K)|0,r=r+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,r=r+Math.imul(C,nt)|0,i=(i=i+Math.imul(C,rt)|0)+Math.imul(E,nt)|0,a=a+Math.imul(E,rt)|0,r=r+Math.imul(S,at)|0,i=(i=i+Math.imul(S,ot)|0)+Math.imul(A,at)|0,a=a+Math.imul(A,ot)|0,r=r+Math.imul(k,lt)|0,i=(i=i+Math.imul(k,ct)|0)+Math.imul(M,lt)|0,a=a+Math.imul(M,ct)|0,r=r+Math.imul(b,ht)|0,i=(i=i+Math.imul(b,dt)|0)+Math.imul(x,ht)|0,a=a+Math.imul(x,dt)|0;var At=(c+(r=r+Math.imul(y,pt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,pt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,r=Math.imul(F,J),i=(i=Math.imul(F,K))+Math.imul(N,J)|0,a=Math.imul(N,K),r=r+Math.imul(R,Q)|0,i=(i=i+Math.imul(R,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,r=r+Math.imul(D,nt)|0,i=(i=i+Math.imul(D,rt)|0)+Math.imul(I,nt)|0,a=a+Math.imul(I,rt)|0,r=r+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(E,at)|0,a=a+Math.imul(E,ot)|0,r=r+Math.imul(S,lt)|0,i=(i=i+Math.imul(S,ct)|0)+Math.imul(A,lt)|0,a=a+Math.imul(A,ct)|0,r=r+Math.imul(k,ht)|0,i=(i=i+Math.imul(k,dt)|0)+Math.imul(M,ht)|0,a=a+Math.imul(M,dt)|0;var Lt=(c+(r=r+Math.imul(b,pt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(x,pt)|0))<<13)|0;c=((a=a+Math.imul(x,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,r=Math.imul(F,Q),i=(i=Math.imul(F,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),r=r+Math.imul(R,nt)|0,i=(i=i+Math.imul(R,rt)|0)+Math.imul(z,nt)|0,a=a+Math.imul(z,rt)|0,r=r+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,r=r+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(E,lt)|0,a=a+Math.imul(E,ct)|0,r=r+Math.imul(S,ht)|0,i=(i=i+Math.imul(S,dt)|0)+Math.imul(A,ht)|0,a=a+Math.imul(A,dt)|0;var Ct=(c+(r=r+Math.imul(k,pt)|0)|0)+((8191&(i=(i=i+Math.imul(k,mt)|0)+Math.imul(M,pt)|0))<<13)|0;c=((a=a+Math.imul(M,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,r=Math.imul(F,nt),i=(i=Math.imul(F,rt))+Math.imul(N,nt)|0,a=Math.imul(N,rt),r=r+Math.imul(R,at)|0,i=(i=i+Math.imul(R,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,r=r+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ct)|0,r=r+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,dt)|0)+Math.imul(E,ht)|0,a=a+Math.imul(E,dt)|0;var Et=(c+(r=r+Math.imul(S,pt)|0)|0)+((8191&(i=(i=i+Math.imul(S,mt)|0)+Math.imul(A,pt)|0))<<13)|0;c=((a=a+Math.imul(A,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,r=Math.imul(F,at),i=(i=Math.imul(F,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),r=r+Math.imul(R,lt)|0,i=(i=i+Math.imul(R,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,r=r+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,dt)|0)+Math.imul(I,ht)|0,a=a+Math.imul(I,dt)|0;var Ot=(c+(r=r+Math.imul(C,pt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(E,pt)|0))<<13)|0;c=((a=a+Math.imul(E,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,r=Math.imul(F,lt),i=(i=Math.imul(F,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),r=r+Math.imul(R,ht)|0,i=(i=i+Math.imul(R,dt)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,dt)|0;var Dt=(c+(r=r+Math.imul(D,pt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(I,pt)|0))<<13)|0;c=((a=a+Math.imul(I,mt)|0)+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,r=Math.imul(F,ht),i=(i=Math.imul(F,dt))+Math.imul(N,ht)|0,a=Math.imul(N,dt);var It=(c+(r=r+Math.imul(R,pt)|0)|0)+((8191&(i=(i=i+Math.imul(R,mt)|0)+Math.imul(z,pt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Pt=(c+(r=Math.imul(F,pt))|0)+((8191&(i=(i=Math.imul(F,mt))+Math.imul(N,pt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=_t,l[4]=bt,l[5]=xt,l[6]=wt,l[7]=kt,l[8]=Mt,l[9]=Tt,l[10]=St,l[11]=At,l[12]=Lt,l[13]=Ct,l[14]=Et,l[15]=Ot,l[16]=Dt,l[17]=It,l[18]=Pt,0!==c&&(l[19]=c,n.length++),n};function p(t,e,n){return(new m).mulp(t,e,n)}function m(t,e){this.x=t,this.y=e}Math.imul||(f=d),a.prototype.mulTo=function(t,e){var n=this.length+t.length;return 10===this.length&&10===t.length?f(this,t,e):n<63?d(this,t,e):n<1024?function(t,e,n){n.negative=e.negative^t.negative,n.length=t.length+e.length;for(var r=0,i=0,a=0;a<n.length-1;a++){var o=i;i=0;for(var s=67108863&r,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=(0|t.words[a-c])*(0|e.words[c]),h=67108863&u;s=67108863&(h=h+s|0),i+=(o=(o=o+(u/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}n.words[a]=s,r=o,o=i}return 0!==r?n.words[a]=r:n.length--,n.strip()}(this,t,e):p(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),n=a.prototype._countBits(t)-1,r=0;r<t;r++)e[r]=this.revBin(r,n,t);return e},m.prototype.revBin=function(t,e,n){if(0===t||t===n-1)return t;for(var r=0,i=0;i<e;i++)r|=(1&t)<<e-i-1,t>>=1;return r},m.prototype.permute=function(t,e,n,r,i,a){for(var o=0;o<a;o++)r[o]=e[t[o]],i[o]=n[t[o]]},m.prototype.transform=function(t,e,n,r,i,a){this.permute(a,t,e,n,r,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,d=c,f=0;f<o;f++){var p=n[u+f],m=r[u+f],g=n[u+f+o],y=r[u+f+o],v=h*g-d*y;y=h*y+d*g,n[u+f]=p+(g=v),r[u+f]=m+y,n[u+f+o]=p-g,r[u+f+o]=m-y,f!==s&&(v=l*h-c*d,d=l*d+c*h,h=v)}},m.prototype.guessLen13b=function(t,e){var n=1|Math.max(e,t),r=1&n,i=0;for(n=n/2|0;n;n>>>=1)i++;return 1<<i+1+r},m.prototype.conjugate=function(t,e,n){if(!(n<=1))for(var r=0;r<n/2;r++){var i=t[r];t[r]=t[n-r-1],t[n-r-1]=i,i=e[r],e[r]=-e[n-r-1],e[n-r-1]=-i}},m.prototype.normalize13b=function(t,e){for(var n=0,r=0;r<e/2;r++){var i=8192*Math.round(t[2*r+1]/e)+Math.round(t[2*r]/e)+n;t[r]=67108863&i,n=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,n,i){for(var a=0,o=0;o<e;o++)n[2*o]=8191&(a+=0|t[o]),n[2*o+1]=8191&(a>>>=13),a>>>=13;for(o=2*e;o<i;++o)n[o]=0;r(0===a),r(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),n=0;n<t;n++)e[n]=0;return e},m.prototype.mulp=function(t,e,n){var r=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(r),a=this.stub(r),o=new Array(r),s=new Array(r),l=new Array(r),c=new Array(r),u=new Array(r),h=new Array(r),d=n.words;d.length=r,this.convert13b(t.words,t.length,o,r),this.convert13b(e.words,e.length,c,r),this.transform(o,a,s,l,r,i),this.transform(c,a,u,h,r,i);for(var f=0;f<r;f++){var p=s[f]*u[f]-l[f]*h[f];l[f]=s[f]*h[f]+l[f]*u[f],s[f]=p}return this.conjugate(s,l,r),this.transform(s,l,d,a,r,i),this.conjugate(d,a,r),this.normalize13b(d,r),n.negative=t.negative^e.negative,n.length=t.length+e.length,n.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),p(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){r(\"number\"==typeof t),r(t<67108864);for(var e=0,n=0;n<this.length;n++){var i=(0|this.words[n])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[n]=67108863&a}return 0!==e&&(this.words[n]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),n=0;n<e.length;n++){var r=n%26;e[n]=(t.words[n/26|0]&1<<r)>>>r}return e}(t);if(0===e.length)return new a(1);for(var n=this,r=0;r<e.length&&0===e[r];r++,n=n.sqr());if(++r<e.length)for(var i=n.sqr();r<e.length;r++,i=i.sqr())0!==e[r]&&(n=n.mul(i));return n},a.prototype.iushln=function(t){r(\"number\"==typeof t&&t>=0);var e,n=t%26,i=(t-n)/26,a=67108863>>>26-n<<26-n;if(0!==n){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a;this.words[e]=(0|this.words[e])-s<<n|o,o=s>>>26-n}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return r(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,n){var i;r(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=n;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,n){return r(0===this.negative),this.iushrn(t,e,n)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){r(\"number\"==typeof t&&t>=0);var e=t%26,n=(t-e)/26;return!(this.length<=n||!(this.words[n]&1<<e))},a.prototype.imaskn=function(t){r(\"number\"==typeof t&&t>=0);var e=t%26,n=(t-e)/26;return r(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=n?this:(0!==e&&n++,this.length=Math.min(n,this.length),0!==e&&(this.words[this.length-1]&=67108863^67108863>>>e<<e),this.strip())},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return r(\"number\"==typeof t),r(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(r(\"number\"==typeof t),r(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,n){var i,a;this._expand(t.length+n);var o=0;for(i=0;i<t.length;i++){a=(0|this.words[i+n])+o;var s=(0|t.words[i])*e;o=((a-=67108863&s)>>26)-(s/67108864|0),this.words[i+n]=67108863&a}for(;i<this.length-n;i++)o=(a=(0|this.words[i+n])+o)>>26,this.words[i+n]=67108863&a;if(0===o)return this.strip();for(r(-1===o),o=0,i=0;i<this.length;i++)o=(a=-(0|this.words[i])+o)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var n,r=this.clone(),i=t,o=0|i.words[i.length-1];0!=(n=26-this._countBits(o))&&(i=i.ushln(n),r.iushln(n),o=0|i.words[i.length-1]);var s,l=r.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=r.clone()._ishlnsubmul(i,1,l);0===u.negative&&(r=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var d=67108864*(0|r.words[i.length+h])+(0|r.words[i.length+h-1]);for(d=Math.min(d/o|0,67108863),r._ishlnsubmul(i,d,h);0!==r.negative;)d--,r.negative=0,r._ishlnsubmul(i,1,h),r.isZero()||(r.negative^=1);s&&(s.words[h]=d)}return s&&s.strip(),r.strip(),\"div\"!==e&&0!==n&&r.iushrn(n),{div:s||null,mod:r}},a.prototype.divmod=function(t,e,n){return r(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),n&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),n&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var n=0!==e.div.negative?e.mod.isub(t):e.mod,r=t.ushrn(1),i=t.andln(1),a=n.cmp(r);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){r(t<=67108863);for(var e=(1<<26)%t,n=0,i=this.length-1;i>=0;i--)n=(e*n+(0|this.words[i]))%t;return n},a.prototype.idivn=function(t){r(t<=67108863);for(var e=0,n=this.length-1;n>=0;n--){var i=(0|this.words[n])+67108864*e;this.words[n]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){r(0===t.negative),r(!t.isZero());var e=this,n=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&n.isEven();)e.iushrn(1),n.iushrn(1),++c;for(var u=n.clone(),h=e.clone();!e.isZero();){for(var d=0,f=1;0==(e.words[0]&f)&&d<26;++d,f<<=1);if(d>0)for(e.iushrn(d);d-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(n.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(n.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(n)>=0?(e.isub(n),i.isub(s),o.isub(l)):(n.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:n.iushln(c)}},a.prototype._invmp=function(t){r(0===t.negative),r(!t.isZero());var e=this,n=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=n.clone();e.cmpn(1)>0&&n.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,d=1;0==(n.words[0]&d)&&h<26;++h,d<<=1);if(h>0)for(n.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(n)>=0?(e.isub(n),o.isub(s)):(n.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),n=t.clone();e.negative=0,n.negative=0;for(var r=0;e.isEven()&&n.isEven();r++)e.iushrn(1),n.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;n.isEven();)n.iushrn(1);var i=e.cmp(n);if(i<0){var a=e;e=n,n=a}else if(0===i||0===n.cmpn(1))break;e.isub(n)}return n.iushln(r)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){r(\"number\"==typeof t);var e=t%26,n=(t-e)/26,i=1<<e;if(this.length<=n)return this._expand(n+1),this.words[n]|=i,this;for(var a=i,o=n;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,this.words[o]=s&=67108863}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,n=t<0;if(0!==this.negative&&!n)return-1;if(0===this.negative&&n)return 1;if(this.strip(),this.length>1)e=1;else{n&&(t=-t),r(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,n=this.length-1;n>=0;n--){var r=0|this.words[n],i=0|t.words[n];if(r!==i){r<i?e=-1:r>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return r(!this.red,\"Already a number in reduction context\"),r(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return r(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return r(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return r(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return r(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return r(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return r(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return r(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return r(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return r(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return r(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return r(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return r(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return r(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return r(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return r(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var g={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function v(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function _(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function x(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else r(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,n=t;do{this.split(n,this.tmp),e=(n=(n=this.imulK(n)).iadd(this.tmp)).bitLength()}while(e>this.n);var r=e<this.n?-1:n.ucmp(this.p);return 0===r?(n.words[0]=0,n.length=1):r>0?n.isub(this.p):n.strip(),n},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(v,y),v.prototype.split=function(t,e){for(var n=4194303,r=Math.min(t.length,9),i=0;i<r;i++)e.words[i]=t.words[i];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&n,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&n)<<4|a>>>22,a=o}t.words[i-10]=a>>>=22,t.length-=0===a&&t.length>10?10:9},v.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,n=0;n<t.length;n++){var r=0|t.words[n];t.words[n]=67108863&(e+=977*r),e=64*r+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(_,y),i(b,y),i(x,y),x.prototype.imulK=function(t){for(var e=0,n=0;n<t.length;n++){var r=19*(0|t.words[n])+e,i=67108863&r;r>>>=26,t.words[n]=i,e=r}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(g[t])return g[t];var e;if(\"k256\"===t)e=new v;else if(\"p224\"===t)e=new _;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new x}return g[t]=e,e},w.prototype._verify1=function(t){r(0===t.negative,\"red works only with positives\"),r(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){r(0==(t.negative|e.negative),\"red works only with positives\"),r(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var n=t.add(e);return n.cmp(this.m)>=0&&n.isub(this.m),n._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var n=t.iadd(e);return n.cmp(this.m)>=0&&n.isub(this.m),n},w.prototype.sub=function(t,e){this._verify2(t,e);var n=t.sub(e);return n.cmpn(0)<0&&n.iadd(this.m),n._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var n=t.isub(e);return n.cmpn(0)<0&&n.iadd(this.m),n},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(r(e%2==1),3===e){var n=this.m.add(new a(1)).iushrn(2);return this.pow(t,n)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);r(!i.isZero());var s=new 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r=t(\"typedarray-pool\"),i=t(\"bit-twiddle\"),a=t(\"./brute\"),o=a.partial,s=a.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),h=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),d=u(\"lo===p0\",[\"p0\"]),f=u(\"lo<p0\",[\"p0\"]),p=u(\"hi<=p0\",[\"p0\"]),m=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),g=u(\"lo<p0&&p0<=hi\",[\"p0\"]),y=r.mallocInt32(1024),v=r.mallocDouble(1024);function _(t,e,n,r,i,a,o,s,l){var c=6*t;y[c]=e,y[c+1]=n,y[c+2]=r,y[c+3]=i,y[c+4]=a,y[c+5]=o;var u=2*t;v[u]=s,v[u+1]=l}function b(t,e,n,r,i,a,o,s,l,c,u){var h=2*t,d=l*h,f=c[d+e];t:for(var p=i,m=i*h;p<a;++p,m+=h){var g=o[m+e+t];if(!(f<(b=o[m+e])||g<f||r&&f===b)){for(var y,v=s[p],_=e+1;_<t;++_){var b=o[m+_];if((g=o[m+_+t])<c[d+_]||c[d+_+t]<b)continue t}if(void 0!==(y=r?n(u,v):n(v,u)))return y}}}function x(t,e,n,r,i,a,o,s,l,c){var u=2*t,h=s*u,d=l[h+e];t:for(var f=r,p=r*u;f<i;++f,p+=u){var m=o[f];if(m!==c){var g=a[p+e+t];if(!(d<(v=a[p+e])||g<d)){for(var y=e+1;y<t;++y){var v=a[p+y];if((g=a[p+y+t])<l[h+y]||l[h+y+t]<v)continue 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o=2*t,s=o*(n+1)+e,l=n+1;l<r;++l,s+=o)for(var c=i[s],u=l,h=o*(l-1);u>n&&i[h+e]>c;--u,h-=o){for(var d=h,f=h+o,p=0;p<o;++p,++d,++f){var m=i[d];i[d]=i[f],i[f]=m}var g=a[u];a[u]=a[u-1],a[u-1]=g}}},{\"./partition\":105}],105:[function(t,e,n){\"use strict\";e.exports=function(t,e){var n=\"abcdef\".split(\"\").concat(e),r=[];return t.indexOf(\"lo\")>=0&&r.push(\"lo=e[k+n]\"),t.indexOf(\"hi\")>=0&&r.push(\"hi=e[k+o]\"),n.push(\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\".replace(\"_\",r.join()).replace(\"$\",t)),Function.apply(void 0,n)}},{}],106:[function(t,e,n){\"use strict\";e.exports=function(t,e){e<=128?i(0,e-1,t):function t(e,n,h){var 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h=e[e.length-2];for(h.left===l?h.left=null:h.right===l&&(h.right=null),e.pop(),n=0;n<e.length;++n)e[n]._count--;return new s(this.tree._compare,e[0])}if(l.left||l.right){for(l.left?p(l,l.left):l.right&&p(l,l.right),l._color=1,n=0;n<e.length-1;++n)e[n]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(n=0;n<e.length;++n)e[n]._count--;var d=e[e.length-2];return function(t){for(var e,n,r,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((n=t[l-1]).left===e){if((r=n.right).right&&0===r.right._color)return s=(r=n.right=i(r)).right=i(r.right),n.right=r.left,r.left=n,r.right=s,r._color=n._color,e._color=1,n._color=1,s._color=1,o(n),o(r),l>1&&((c=t[l-2]).left===n?c.left=r:c.right=r),void(t[l-1]=r);if(r.left&&0===r.left._color)return s=(r=n.right=i(r)).left=i(r.left),n.right=s.left,r.left=s.right,s.left=n,s.right=r,s._color=n._color,n._color=1,r._color=1,e._color=1,o(n),o(r),o(s),l>1&&((c=t[l-2]).left===n?c.left=s:c.right=s),void(t[l-1]=s);if(1===r._color){if(0===n._color)return n._color=1,void(n.right=a(0,r));n.right=a(0,r);continue}r=i(r),n.right=r.left,r.left=n,r._color=n._color,n._color=0,o(n),o(r),l>1&&((c=t[l-2]).left===n?c.left=r:c.right=r),t[l-1]=r,t[l]=n,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((r=n.left).left&&0===r.left._color)return s=(r=n.left=i(r)).left=i(r.left),n.left=r.right,r.right=n,r.left=s,r._color=n._color,e._color=1,n._color=1,s._color=1,o(n),o(r),l>1&&((c=t[l-2]).right===n?c.right=r:c.left=r),void(t[l-1]=r);if(r.right&&0===r.right._color)return s=(r=n.left=i(r)).right=i(r.right),n.left=s.right,r.right=s.left,s.right=n,s.left=r,s._color=n._color,n._color=1,r._color=1,e._color=1,o(n),o(r),o(s),l>1&&((c=t[l-2]).right===n?c.right=s:c.left=s),void(t[l-1]=s);if(1===r._color){if(0===n._color)return n._color=1,void(n.left=a(0,r));n.left=a(0,r);continue}var c;r=i(r),n.left=r.right,r.right=n,r._color=n._color,n._color=0,o(n),o(r),l>1&&((c=t[l-2]).right===n?c.right=r:c.left=r),t[l-1]=r,t[l]=n,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),d.left===l?d.left=null:d.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var n=this.tree.root;return n?n._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var r=e.length-2;r>=0;--r)e[r+1]===e[r].right&&(++t,e[r].left&&(t+=e[r].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var n=new Array(e.length),i=e[e.length-1];n[n.length-1]=new r(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)n[a]=(i=e[a]).left===e[a+1]?new r(i._color,i.key,i.value,n[a+1],i.right,i._count):new r(i._color,i.key,i.value,i.left,n[a+1],i._count);return new s(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,n){var r=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function a(t){if(t<0)return Number(\"0/0\");for(var e=i[0],n=i.length-1;n>0;--n)e+=i[n]/(t+n);var r=t+4.7421875+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(r)-r+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(a(e));e-=1;for(var n=r[0],i=1;i<9;i++)n+=r[i]/(e+i);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*n},e.exports.log=a},{}],249:[function(t,e,n){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var n=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(n.width=e.width),\"number\"==typeof e.height&&(n.height=e.height);var r,i=e;try{var a=[t];0===t.indexOf(\"webgl\")&&a.push(\"experimental-\"+t);for(var o=0;o<a.length;o++)if(r=n.getContext(a[o],i))return r}catch(s){r=null}return r||null}},{}],250:[function(t,e,n){\"use strict\";e.exports=function(t,e){var n=new u(t);return n.update(e),n};var r=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var h=u.prototype;function d(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,n,r){if(r in t){var i,a=t[r],o=this[r];this[r]=i=(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?[n(a[0]),n(a[1]),n(a[2])]:[n(a),n(a),n(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var n,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var d=t.bounds,f=0;f<2;++f)for(var p=0;p<3;++p)d[f][p]!==this.bounds[f][p]&&(h=!0),this.bounds[f][p]=d[f][p];if(\"ticks\"in t)for(n=t.ticks,u=!0,this.autoTicks=!1,f=0;f<3;++f)this.tickSpacing[f]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(n=s.create(this.bounds,this.tickSpacing),u=!0),u){for(f=0;f<3;++f)n[f].sort((function(t,e){return t.x-e.x}));s.equal(n,this.ticks)?u=!1:this.ticks=n}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=r(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var f=[new d,new d,new d];function p(t,e,n,r,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=r[e],u=0;u<3;++u)if(e!==u){var h=a,d=s,f=o,p=l;c&1<<u&&(h=s,d=a,f=l,p=o),h[u]=n[0][u],d[u]=n[1][u],i[u]>0?(f[u]=-1,p[u]=0):(f[u]=0,p[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var y=[0,0,0],v=[0,0,0],_=[0,0,0];h.draw=function(t){for(var e=this.gl,n=(t=t||g).model||l,r=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(n,r,i,a,s),h=u.cubeEdges,d=u.axis,b=(s?2:1)*this.pixelRatio*(i[3]*r[12]+i[7]*r[13]+i[11]*r[14]+i[15]*r[15])/e.drawingBufferHeight,x=0;x<3;++x)this.lastCubeProps.cubeEdges[x]=h[x],this.lastCubeProps.axis[x]=d[x];var w=f;for(x=0;x<3;++x)p(f[x],x,this.bounds,h,d);e=this.gl;var k,M,T,S=m;for(x=0;x<3;++x)S[x]=this.backgroundEnable[x]?d[x]:0;for(this._background.draw(n,r,i,a,S,this.backgroundColor),this._lines.bind(n,r,i,this),x=0;x<3;++x){var A=[0,0,0];A[x]=d[x]>0?a[1][x]:a[0][x];for(var L=0;L<2;++L){var C=(x+1+(1^L))%3;this.gridEnable[E=(x+1+L)%3]&&this._lines.drawGrid(E,C,this.bounds,A,this.gridColor[E],this.gridWidth[E]*this.pixelRatio)}for(L=0;L<2;++L){var E=(x+1+L)%3;this.zeroEnable[C=(x+1+(1^L))%3]&&Math.min(a[0][C],a[1][C])<=0&&Math.max(a[0][C],a[1][C])>=0&&this._lines.drawZero(E,C,this.bounds,A,this.zeroLineColor[C],this.zeroLineWidth[C]*this.pixelRatio)}}for(x=0;x<3;++x){this.lineEnable[x]&&this._lines.drawAxisLine(x,this.bounds,w[x].primalOffset,this.lineColor[x],this.lineWidth[x]*this.pixelRatio),this.lineMirror[x]&&this._lines.drawAxisLine(x,this.bounds,w[x].mirrorOffset,this.lineColor[x],this.lineWidth[x]*this.pixelRatio);var O=c(y,w[x].primalMinor),D=c(v,w[x].mirrorMinor),I=this.lineTickLength;for(L=0;L<3;++L){var P=b/n[5*L];O[L]*=I[L]*P,D[L]*=I[L]*P}this.lineTickEnable[x]&&this._lines.drawAxisTicks(x,w[x].primalOffset,O,this.lineTickColor[x],this.lineTickWidth[x]*this.pixelRatio),this.lineTickMirror[x]&&this._lines.drawAxisTicks(x,w[x].mirrorOffset,D,this.lineTickColor[x],this.lineTickWidth[x]*this.pixelRatio)}function R(t){(T=[0,0,0])[t]=1}function z(t,e,n){var r=(t+1)%3,i=(t+2)%3,a=e[r],o=e[i],s=n[r],l=n[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?R(r):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&R(i)}for(this._lines.unbind(),this._text.bind(n,r,i,this.pixelRatio),x=0;x<3;++x){var j=w[x].primalMinor,F=w[x].mirrorMinor,N=c(_,w[x].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[x]&&(N[L]+=b*j[L]*Math.max(this.lineTickLength[L],0)/n[5*L]);var B=[0,0,0];if(B[x]=1,this.tickEnable[x]){for(-3600===this.tickAngle[x]?(this.tickAngle[x]=0,this.tickAlign[x]=\"auto\"):this.tickAlign[x]=-1,(k=[this.tickAlign[x],.5,M=1])[0]=\"auto\"===k[0]?0:parseInt(\"\"+k[0]),T=[0,0,0],z(x,j,F),L=0;L<3;++L)N[L]+=b*j[L]*this.tickPad[L]/n[5*L];this._text.drawTicks(x,this.tickSize[x],this.tickAngle[x],N,this.tickColor[x],B,T,k)}if(this.labelEnable[x]){for(M=0,T=[0,0,0],this.labels[x].length>4&&(R(x),M=1),(k=[this.labelAlign[x],.5,M])[0]=\"auto\"===k[0]?0:parseInt(\"\"+k[0]),L=0;L<3;++L)N[L]+=b*j[L]*this.labelPad[L]/n[5*L];N[x]+=.5*(a[0][x]+a[1][x]),this._text.drawLabel(x,this.labelSize[x],this.labelAngle[x],N,this.labelColor[x],[0,0,0],T,k)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,n){\"use strict\";e.exports=function(t){for(var e=[],n=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],d=[0,0,0],f=-1;f<=1;f+=2){n.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=f,d[l]=f;for(var p=-1;p<=1;p+=2){h[c]=p;for(var m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],d[0],d[1],d[2]),s+=1}var g=c;c=u,u=g}var y=r(t,new Float32Array(e)),v=r(t,new Uint16Array(n),t.ELEMENT_ARRAY_BUFFER),_=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],v),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,_,b)};var r=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,n,r){this.gl=t,this.buffer=e,this.vao=n,this.shader=r}var s=o.prototype;s.draw=function(t,e,n,r,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:n,bounds:r,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":259,\"gl-vao\":358}],252:[function(t,e,n){\"use strict\";e.exports=function(t,e,n,a,f){i(s,e,t),i(s,n,s);for(var v=0,_=0;_<2;++_){u[2]=a[_][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var x=0;x<2;++x)u[0]=a[x][0],d(l[v],u,s),v+=1}}var w=-1;for(_=0;_<8;++_){for(var k=l[_][3],M=0;M<3;++M)c[_][M]=l[_][M]/k;f&&(c[_][2]*=-1),k<0&&(w<0||c[_][2]<c[w][2])&&(w=_)}if(w<0){w=0;for(var T=0;T<3;++T){for(var S=(T+2)%3,A=(T+1)%3,L=-1,C=-1,E=0;E<2;++E)o(c[O=E<<T],c[O+(E<<S)+(1-E<<A)],c[O+(1-E<<S)+(E<<A)],h)<0||(E?L=1:C=1);if(L<0||C<0)C>L&&(w|=1<<T);else{for(E=0;E<2;++E){var 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e=0;e<f.length;++e)if((t=a.positive(t,f[e])).length<3)return 0;var n=t[0],r=n[0]/n[3],i=n[1]/n[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1];o+=Math.abs((s[0]/s[3]-r)*(l[1]/l[3]-i)-(s[1]/s[3]-i)*(l[0]/l[3]-r))}return o}var m=[1,1,1],g=[0,0,0],y={cubeEdges:m,axis:g}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":295,\"robust-orientation\":548,\"split-polygon\":566}],253:[function(t,e,n){\"use strict\";e.exports=function(t,e,n){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var d=o.length/3|0,p=0;p<n[h].length;++p)o.push(y=+n[h][p].x,0,1,y,1,1,y,0,-1,y,0,-1,y,1,1,y,1,-1);var m=o.length/3|0;s[h]=d,l[h]=m-d,d=o.length/3|0;for(var g=0;g<n[h].length;++g){var y;o.push(y=+n[h][g].x,0,1,y,1,1,y,0,-1,y,0,-1,y,1,1,y,1,-1)}m=o.length/3|0,c[h]=d,u[h]=m-d}var v=r(t,new Float32Array(o)),_=i(t,[{buffer:v,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new f(t,v,_,b,l,s,u,c)};var r=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function d(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function f(t,e,n,r,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=n,this.shader=r,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var p=f.prototype;p.bind=function(t,e,n){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=n,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},p.unbind=function(){this.vao.unbind()},p.drawAxisLine=function(t,e,n,r,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=d(c,n);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=r,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},p.drawAxisTicks=function(t,e,n,r,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=n,this.shader.uniforms.color=r,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},p.drawGrid=function(t,e,n,r,i,a){if(this.gridCount[t]){var u=h(s);u[e]=n[1][e]-n[0][e],this.shader.uniforms.minorAxis=u;var f=d(c,r);f[e]+=n[0][e],this.shader.uniforms.offset=f;var p=h(o);p[t]=1,this.shader.uniforms.majorAxis=p;var m=h(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},p.drawZero=function(t,e,n,r,i,a){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=n[1][t]-n[0][t],this.shader.uniforms.minorAxis=o;var u=d(c,r);u[t]+=n[0][t],this.shader.uniforms.offset=u;var f=h(l);f[e]=1,this.shader.uniforms.screenAxis=f,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},p.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":259,\"gl-vao\":358}],254:[function(t,e,n){\"use strict\";var r=t(\"glslify\"),i=t(\"gl-shader\"),a=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);n.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);n.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);n.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":335,glslify:257}],255:[function(t,e,n){(function(n){(function(){\"use strict\";e.exports=function(t,e,n,a,s,l){var u=r(t),h=i(t,[{buffer:u,size:3}]),d=o(t);d.attributes.position.location=0;var f=new c(t,d,u,h);return f.update(e,n,a,s,l),f};var r=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||n.global||{},l=s.__TEXT_CACHE||{};function c(t,e,n,r){this.gl=t,this.shader=e,this.buffer=n,this.vao=r,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}s.__TEXT_CACHE={};var u=c.prototype,h=[0,0];u.bind=function(t,e,n,r){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=n,i.pixelScale=r,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,n,r,i){var o=[];function s(t,e,n,r,i,s){var 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m=0;m<r[p].length;++m)r[p][m].text&&s(r[p][m].x,r[p][m].text,r[p][m].font||i,r[p][m].fontSize||12,1.25,f);u[p]=(o.length/3|0)-c[p]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=d},u.drawTicks=function(t,e,n,r,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=n,this.shader.uniforms.scale=e,this.shader.uniforms.offset=r,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,n,r,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=n,this.shader.uniforms.scale=e,this.shader.uniforms.offset=r,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:526,\"gl-buffer\":259,\"gl-vao\":358,\"vectorize-text\":600}],256:[function(t,e,n){\"use 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n.push(t[r]),n.join(\"\")}},{}],258:[function(t,e,n){\"use strict\";e.exports=function(t,e,n,l,h){var d=e.model||c,f=e.view||c,y=e.projection||c,v=e._ortho||!1,_=t.bounds,b=(h=h||a(d,f,y,_,v)).axis;o(u,f,d),o(u,y,u);for(var x=m,w=0;w<3;++w)x[w].lo=1/0,x[w].hi=-1/0,x[w].pixelsPerDataUnit=1/0;var k=r(s(u,u));s(u,u);for(var M=0;M<3;++M){var T=(M+1)%3,S=(M+2)%3,A=g;t:for(w=0;w<2;++w){var L=[];if(b[M]<0!=!!w){A[M]=_[w][M];for(var C=0;C<2;++C){A[T]=_[C^w][T];for(var E=0;E<2;++E)A[S]=_[E^C^w][S],L.push(A.slice())}var O=v?5:4;for(C=O;C===O;++C){if(0===L.length)continue t;L=i.positive(L,k[C])}for(C=0;C<L.length;++C){var D=p(g,u,S=L[C],n,l);for(E=0;E<3;++E)x[E].lo=Math.min(x[E].lo,S[E]),x[E].hi=Math.max(x[E].hi,S[E]),E!==M&&(x[E].pixelsPerDataUnit=Math.min(x[E].pixelsPerDataUnit,Math.abs(D[E])))}}}}return x};var r=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,n){this.lo=t,this.hi=e,this.pixelsPerDataUnit=n}var d=[0,0,0,1],f=[0,0,0,1];function p(t,e,n,r,i){for(var a=0;a<3;++a){for(var o=d,s=f,c=0;c<3;++c)s[c]=o[c]=n[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*r,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var m=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":295,\"gl-mat4/transpose\":306,\"gl-vec4/transformMat4\":429,\"split-polygon\":566}],259:[function(t,e,n){\"use strict\";var r=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,n,r,i){this.gl=t,this.type=e,this.handle=n,this.length=r,this.usage=i}var l=s.prototype;function c(t,e,n,r,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,r),o;if(o+a>n)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),n}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var n=t.dtype;if(o.indexOf(n)<0&&(n=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(n=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==n?\"uint32\":\"uint16\"),n===t.dtype&&function(t,e){for(var n=1,r=e.length-1;r>=0;--r){if(e[r]!==n)return!1;n*=t[r]}return!0}(t.shape,t.stride))this.length=c(this.gl,this.type,this.length,this.usage,0===t.offset&&t.data.length===t.shape[0]?t.data:t.data.subarray(t.offset,t.shape[0]),e);else{var s=r.malloc(t.size,n),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),r.free(s)}}else if(Array.isArray(t)){var u;u=function(t,e){for(var n=r.malloc(t.length,e),i=t.length,a=0;a<i;++a)n[a]=t[a];return n}(t,this.type===this.gl.ELEMENT_ARRAY_BUFFER?\"uint16\":\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?u:u.subarray(0,t.length),e),r.free(u)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,n,r){if(r=r||t.DYNAMIC_DRAW,(n=n||t.ARRAY_BUFFER)!==t.ARRAY_BUFFER&&n!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(r!==t.DYNAMIC_DRAW&&r!==t.STATIC_DRAW&&r!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,n,i,0,r);return a.update(e),a}},{ndarray:495,\"ndarray-ops\":490,\"typedarray-pool\":595}],260:[function(t,e,n){\"use strict\";var r=t(\"gl-vec3\");e.exports=function(t,e){var n=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,d=-1/0,f=null,p=null,m=[],g=1/0,y=!1,v=0;v<n.length;v++){var _=n[v];s=Math.min(_[0],s),l=Math.max(_[0],l),c=Math.min(_[1],c),u=Math.max(_[1],u),h=Math.min(_[2],h),d=Math.max(_[2],d);var b=i[v];if(r.length(b)>o&&(o=r.length(b)),v){var x=2*r.distance(f,_)/(r.length(p)+r.length(b));x?(g=Math.min(g,x),y=!1):y=!0}y||(f=_,p=b),m.push(b)}var w=[l,u,d];e&&(e[0]=[s,c,h],e[1]=w),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),a.coneScale=M,v=0;for(var T=0;v<n.length;v++)for(var S=(_=n[v])[0],A=_[1],L=_[2],C=m[v],E=r.length(C)*k,O=0;O<8;O++){a.positions.push([S,A,L,T++]),a.positions.push([S,A,L,T++]),a.positions.push([S,A,L,T++]),a.positions.push([S,A,L,T++]),a.positions.push([S,A,L,T++]),a.positions.push([S,A,L,T++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(E,E,E),a.vertexIntensity.push(E,E,E);var D=a.positions.length;a.cells.push([D-6,D-5,D-4],[D-3,D-2,D-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,n){return e.exports.createMesh(t,n,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":261,\"./lib/shaders\":262,\"gl-vec3\":377}],261:[function(t,e,n){\"use strict\";var r=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e,n,r,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=n,this.pickShader=r,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var f=d.prototype;function p(t,e){var n=r(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return n.attributes.position.location=0,n.attributes.color.location=2,n.attributes.uv.location=3,n.attributes.vector.location=4,n}function m(t,e){var n=r(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return n.attributes.position.location=0,n.attributes.id.location=1,n.attributes.vector.location=4,n}f.isOpaque=function(){return this.opacity>=1},f.isTransparent=function(){return this.opacity<1},f.pickSlots=1,f.setPickBase=function(t){this.pickId=t},f.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),r=0;r<256;++r){for(var i=e[r],a=0;a<3;++a)n[4*r+a]=i[a];n[4*r+3]=255*i[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var n=t.cells,r=t.positions,i=t.vectors;if(r&&n&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=n,this.positions=r,this.vectors=i;var d=t.meshColor||[1,1,1,1],f=t.vertexIntensity,p=1/0,m=-1/0;if(f)if(t.vertexIntensityBounds)p=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<f.length;++g){var y=f[g];p=Math.min(p,y),m=Math.max(m,y)}else for(g=0;g<r.length;++g)y=r[g][2],p=Math.min(p,y),m=Math.max(m,y);for(this.intensity=f||function(t){for(var e=t.length,n=new Array(e),r=0;r<e;++r)n[r]=t[r][2];return n}(r),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<r.length;++g)for(var v=r[g],_=0;_<3;++_)!isNaN(v[_])&&isFinite(v[_])&&(this.bounds[0][_]=Math.min(this.bounds[0][_],v[_]),this.bounds[1][_]=Math.max(this.bounds[1][_],v[_]));var b=0;t:for(g=0;g<n.length;++g){var x=n[g];switch(x.length){case 3:for(_=0;_<3;++_){v=r[k=x[_]];for(var w=0;w<3;++w)if(isNaN(v[w])||!isFinite(v[w]))continue t}for(_=0;_<3;++_){var k;a.push((v=r[k=x[2-_]])[0],v[1],v[2],v[3]);var M,T=i[k];o.push(T[0],T[1],T[2],T[3]||0),s.push(d[0],d[1],d[2],3===d.length?1:d[3]),l.push((M=f?[(f[k]-p)/(m-p),0]:[(v[2]-p)/(m-p),0])[0],M[1]),h.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},f.drawTransparent=f.draw=function(t){for(var e=this.gl,n=(t=t||{}).model||h,r=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:n,view:r,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(s(u,c.view,c.model),s(u,c.projection,u),l(u,u),o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var d=u[15];for(o=0;o<3;++o)d+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var f=u[12+o],p=0;p<3;++p)f+=u[4*p+o]*this.lightPosition[p];c.lightPosition[o]=f/d}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},f.drawPick=function(t){for(var e=this.gl,n=(t=t||{}).model||h,r=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(n),this._view=[].slice.call(r),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:n,view:r,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},f.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],n=this.cells[e],r=this.positions[n[1]].slice(0,3),i={position:r,dataCoordinate:r,index:Math.floor(n[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(n[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[n[1]],i.velocity=this.vectors[n[1]].slice(0,3),i.divergence=this.vectors[n[1]][3],i.index=e),i},f.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,n){var r=n.shaders;1===arguments.length&&(t=(e=t).gl);var s=p(t,r),l=m(t,r),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=i(t),f=i(t),g=i(t),y=i(t),v=i(t),_=new d(t,u,s,l,h,f,v,g,y,a(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:f,type:t.FLOAT,size:4}]),n.traceType||\"cone\");return _.update(e),_}},{colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-shader\":335,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495}],262:[function(t,e,n){var r=t(\"glslify\"),i=r([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=r([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=r([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, 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,34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],265:[function(t,e,n){var 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y=0;y<o;++y)t.color[y]=d(n,i,a,g,n.RGBA,n.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=f(n,i,a,n.RGBA4,n.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var v=n.getExtension(\"WEBGL_depth_texture\");v?p?t.depth=d(n,i,a,v.UNSIGNED_INT_24_8_WEBGL,n.DEPTH_STENCIL,n.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=d(n,i,a,n.UNSIGNED_SHORT,n.DEPTH_COMPONENT,n.DEPTH_ATTACHMENT)):m&&p?t._depth_rb=f(n,i,a,n.DEPTH_STENCIL,n.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=f(n,i,a,n.DEPTH_COMPONENT16,n.DEPTH_ATTACHMENT):p&&(t._depth_rb=f(n,i,a,n.STENCIL_INDEX,n.STENCIL_ATTACHMENT));var _=n.checkFramebufferStatus(n.FRAMEBUFFER);if(_!==n.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(n.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(n.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(n,e),h(_)}u(n,e)}(this)}var m=p.prototype;function g(t,e,n){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==n){var r=t.gl,i=r.getParameter(r.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||n<0||n>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=n;for(var a=c(r),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(r.bindRenderbuffer(r.RENDERBUFFER,t._color_rb),r.renderbufferStorage(r.RENDERBUFFER,r.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(r.bindRenderbuffer(r.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?r.renderbufferStorage(r.RENDERBUFFER,r.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?r.renderbufferStorage(r.RENDERBUFFER,r.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&r.renderbufferStorage(r.RENDERBUFFER,r.STENCIL_INDEX,t._shape[0],t._shape[1])),r.bindFramebuffer(r.FRAMEBUFFER,t.handle);var s=r.checkFramebufferStatus(r.FRAMEBUFFER);s!==r.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(r,a),h(s)),u(r,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],n=0|t[1];return g(this,e,n),[e,n]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return g(this,this._shape[0],t|=0),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":353}],270:[function(t,e,n){var r=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,n){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==n&&(l=n===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=r(\"Error compiling %s shader %s:\\n\",l,s),u=r(\"%s%s\",c,t),h=t.split(\"\\n\"),d={},f=0;f<h.length;f++){var p=h[f];if(\"\"!==p&&\"\\0\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(r(\"Could not parse error: %s\",p));d[m]=p}}var g=o(e).split(\"\\n\");for(f=0;f<g.length;f++)if((d[f+3]||d[f+2]||d[f+1])&&(c+=g[f]+\"\\n\",d[f+1])){var y=d[f+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=r(\"^^^ %s\\n\\n\",y)}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":265,\"glsl-shader-name\":431,\"sprintf-js\":567}],271:[function(t,e,n){\"use strict\";e.exports=function(t,e){var n=t.gl,r=new c(t,o(n,l.vertex,l.fragment),o(n,l.pickVertex,l.pickFragment),s(n),s(n),s(n),s(n));return r.update(e),t.addObject(r),r};var r=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,n,r,i,a,o){this.plot=t,this.shader=e,this.pickShader=n,this.positionBuffer=r,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,d=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,n=this.bounds,r=this.numVertices;if(!(r<=0)){var i=t.gl,a=t.dataBox,o=n[3]-n[1],s=a[2]-a[0],l=a[3]-a[1];u[0]=2*(n[2]-n[0])/s,u[4]=2*o/l,u[6]=2*(n[0]-a[0])/s-1,u[7]=2*(n[1]-a[1])/l-1,e.bind();var c=e.uniforms;c.viewTransform=u,c.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,r)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(n){var r=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=r.gl,l=r.dataBox,c=a[3]-a[1],u=l[2]-l[0],h=l[3]-l[1];t[0]=2*(a[2]-a[0])/u,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/u-1,t[7]=2*(a[1]-l[1])/h-1;for(var d=0;d<4;++d)e[d]=n>>8*d&255;this.pickOffset=n,i.bind();var f=i.uniforms;f.viewTransform=t,f.pickOffset=e,f.shape=this.shape;var p=i.attributes;return this.positionBuffer.bind(),p.position.pointer(),this.weightBuffer.bind(),p.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),p.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),n+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,n){var r=this.pickOffset;if(n<r||n>=r+this.shape[0]*this.shape[1])return null;var i=n-r;return{object:this,pointId:i,dataCoord:[this.xData[i%this.shape[0]],this.yData[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],n=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=n,this.yData=o;var c,u,h,f,p=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=p.length,y=this.bounds;l?(c=y[0]=n[0],u=y[1]=o[0],h=y[2]=n[n.length-1],f=y[3]=o[o.length-1]):(c=y[0]=n[0]+(n[1]-n[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=y[2]=n[n.length-1]+(n[n.length-1]-n[n.length-2])/2,f=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var v=1/(h-c),_=1/(f-u),b=e[0],x=e[1];this.shape=[b,x];var w=(l?(b-1)*(x-1):b*x)*(d.length>>>1);this.numVertices=w;for(var k=a.mallocUint8(4*w),M=a.mallocFloat32(2*w),T=a.mallocUint8(2*w),S=a.mallocUint32(w),A=0,L=l?b-1:b,C=l?x-1:x,E=0;E<C;++E){var O,D;l?(O=_*(o[E]-u),D=_*(o[E+1]-u)):(O=E<x-1?_*(o[E]-(o[E+1]-o[E])/2-u):_*(o[E]-(o[E]-o[E-1])/2-u),D=E<x-1?_*(o[E]+(o[E+1]-o[E])/2-u):_*(o[E]+(o[E]-o[E-1])/2-u));for(var I=0;I<L;++I){var P,R;l?(P=v*(n[I]-c),R=v*(n[I+1]-c)):(P=I<b-1?v*(n[I]-(n[I+1]-n[I])/2-c):v*(n[I]-(n[I]-n[I-1])/2-c),R=I<b-1?v*(n[I]+(n[I+1]-n[I])/2-c):v*(n[I]+(n[I]-n[I-1])/2-c));for(var z=0;z<d.length;z+=2){var j,F,N,B,Y=d[z],H=d[z+1],V=s[l?(E+H)*b+(I+Y):E*b+I],U=r.le(p,V);if(U<0)j=m[0],F=m[1],N=m[2],B=m[3];else if(U===g-1)j=m[4*g-4],F=m[4*g-3],N=m[4*g-2],B=m[4*g-1];else{var W=(V-p[U])/(p[U+1]-p[U]),q=1-W,G=4*U,X=4*(U+1);j=q*m[G]+W*m[X],F=q*m[G+1]+W*m[X+1],N=q*m[G+2]+W*m[X+2],B=q*m[G+3]+W*m[X+3]}k[4*A]=255*j,k[4*A+1]=255*F,k[4*A+2]=255*N,k[4*A+3]=255*B,M[2*A]=.5*P+.5*R,M[2*A+1]=.5*O+.5*D,T[2*A]=Y,T[2*A+1]=H,S[A]=E*b+I,A+=1}}}this.positionBuffer.update(M),this.weightBuffer.update(T),this.colorBuffer.update(k),this.idBuffer.update(S),a.free(M),a.free(k),a.free(T),a.free(S)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":272,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335,\"iota-array\":463,\"typedarray-pool\":595}],272:[function(t,e,n){\"use strict\";var r=t(\"glslify\");e.exports={fragment:r([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:273}],273:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],274:[function(t,e,n){var r=t(\"glslify\"),i=t(\"gl-shader\"),a=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];n.createShader=function(t){return i(t,a,o,null,l)},n.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":335,glslify:276}],275:[function(t,e,n){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,n=h(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;var o=d(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=r(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),f=0;f<1024;++f)u.data[f]=255;var p=a(e,u);p.wrap=e.REPEAT;var m=new y(e,n,o,s,l,p);return m.update(t),m};var r=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,d=u.createPickShader,f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function p(t,e){for(var n=0,r=0;r<3;++r){var i=t[r]-e[r];n+=i*i}return Math.sqrt(n)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],n=0;n<3;++n)e[0][n]=Math.max(t[0][n],e[0][n]),e[1][n]=Math.min(t[1][n],e[1][n]);return e}function g(t,e,n,r){this.arcLength=t,this.position=e,this.index=n,this.dataCoordinate=r}function y(t,e,n,r,i,a){this.gl=t,this.shader=e,this.pickShader=n,this.buffer=r,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return!this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.draw=function(t){if(this.vertexCount){var e=this.gl,n=this.shader,r=this.vao;n.bind(),n.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},r.bind(),r.draw(e.TRIANGLE_STRIP,this.vertexCount),r.unbind()}},v.drawPick=function(t){if(this.vertexCount){var e=this.gl,n=this.pickShader,r=this.vao;n.bind(),n.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},r.bind(),r.draw(e.TRIANGLE_STRIP,this.vertexCount),r.unbind()}},v.update=function(t){var e,n;this.dirty=!0;var r=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],d=t.position||t.positions;if(d){var f=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<d.length;++e){var y,v,_,b=d[e-1],x=d[e];for(a.push(s),o.push(b.slice()),n=0;n<3;++n){if(isNaN(b[n])||isNaN(x[n])||!isFinite(b[n])||!isFinite(x[n])){if(!r&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}h[0][n]=Math.min(h[0][n],b[n],x[n]),h[1][n]=Math.max(h[1][n],b[n],x[n])}Array.isArray(f[0])?(y=f.length>e-1?f[e-1]:f.length>0?f[f.length-1]:[0,0,0,1],v=f.length>e?f[e]:f.length>0?f[f.length-1]:[0,0,0,1]):y=v=f,3===y.length&&(y=[y[0],y[1],y[2],1]),3===v.length&&(v=[v[0],v[1],v[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),_=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var k=s;if(s+=p(b,x),g){for(n=0;n<2;++n)i.push(b[0],b[1],b[2],x[0],x[1],x[2],k,_,y[0],y[1],y[2],y[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],x[0],x[1],x[2],k,_,y[0],y[1],y[2],y[3],b[0],b[1],b[2],x[0],x[1],x[2],k,-_,y[0],y[1],y[2],y[3],x[0],x[1],x[2],b[0],b[1],b[2],s,-_,v[0],v[1],v[2],v[3],x[0],x[1],x[2],b[0],b[1],b[2],s,_,v[0],v[1],v[2],v[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(d[d.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var M=t.dashes.slice();for(M.unshift(0),e=1;e<M.length;++e)M[e]=M[e-1]+M[e];var T=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(n=0;n<4;++n)T.set(e,0,n,0);1&l.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}},v.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,n,r){return o[0]=0,o[1]=n,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),n=l.le(this.arcLength,e);if(n<0)return null;if(n===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),n);for(var r=this.points[n],i=this.points[Math.min(n+1,this.points.length-1)],a=(e-this.arcLength[n])/(this.arcLength[n+1]-this.arcLength[n]),c=1-a,u=[0,0,0],h=0;h<3;++h)u[h]=c*r[h]+a*i[h];var d=Math.min(a<.5?n:n+1,this.points.length-1);return new g(e,u,d,this.points[d])}},{\"./lib/shaders\":274,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495}],276:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],277:[function(t,e,n){e.exports=function(t,e){var n=e[0],r=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],d=e[10],f=e[11],p=e[12],m=e[13],g=e[14],y=e[15];return t[0]=s*(d*y-f*g)-h*(l*y-c*g)+m*(l*f-c*d),t[1]=-(r*(d*y-f*g)-h*(i*y-a*g)+m*(i*f-a*d)),t[2]=r*(l*y-c*g)-s*(i*y-a*g)+m*(i*c-a*l),t[3]=-(r*(l*f-c*d)-s*(i*f-a*d)+h*(i*c-a*l)),t[4]=-(o*(d*y-f*g)-u*(l*y-c*g)+p*(l*f-c*d)),t[5]=n*(d*y-f*g)-u*(i*y-a*g)+p*(i*f-a*d),t[6]=-(n*(l*y-c*g)-o*(i*y-a*g)+p*(i*c-a*l)),t[7]=n*(l*f-c*d)-o*(i*f-a*d)+u*(i*c-a*l),t[8]=o*(h*y-f*m)-u*(s*y-c*m)+p*(s*f-c*h),t[9]=-(n*(h*y-f*m)-u*(r*y-a*m)+p*(r*f-a*h)),t[10]=n*(s*y-c*m)-o*(r*y-a*m)+p*(r*c-a*s),t[11]=-(n*(s*f-c*h)-o*(r*f-a*h)+u*(r*c-a*s)),t[12]=-(o*(h*g-d*m)-u*(s*g-l*m)+p*(s*d-l*h)),t[13]=n*(h*g-d*m)-u*(r*g-i*m)+p*(r*d-i*h),t[14]=-(n*(s*g-l*m)-o*(r*g-i*m)+p*(r*l-i*s)),t[15]=n*(s*d-l*h)-o*(r*d-i*h)+u*(r*l-i*s),t}},{}],278:[function(t,e,n){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],279:[function(t,e,n){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],280:[function(t,e,n){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],281:[function(t,e,n){e.exports=function(t){var e=t[0],n=t[1],r=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],h=t[10],d=t[11],f=t[12],p=t[13],m=t[14],g=t[15];return(e*o-n*a)*(h*g-d*m)-(e*s-r*a)*(u*g-d*p)+(e*l-i*a)*(u*m-h*p)+(n*s-r*o)*(c*g-d*f)-(n*l-i*o)*(c*m-h*f)+(r*l-i*s)*(c*p-u*f)}},{}],282:[function(t,e,n){e.exports=function(t,e){var n=e[0],r=e[1],i=e[2],a=e[3],o=n+n,s=r+r,l=i+i,c=n*o,u=r*o,h=r*s,d=i*o,f=i*s,p=i*l,m=a*o,g=a*s,y=a*l;return t[0]=1-h-p,t[1]=u+y,t[2]=d-g,t[3]=0,t[4]=u-y,t[5]=1-c-p,t[6]=f+m,t[7]=0,t[8]=d+g,t[9]=f-m,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],283:[function(t,e,n){e.exports=function(t,e,n){var r,i,a,o=n[0],s=n[1],l=n[2],c=Math.sqrt(o*o+s*s+l*l);return Math.abs(c)<1e-6?null:(o*=c=1/c,s*=c,l*=c,r=Math.sin(e),i=Math.cos(e),t[0]=o*o*(a=1-i)+i,t[1]=s*o*a+l*r,t[2]=l*o*a-s*r,t[3]=0,t[4]=o*s*a-l*r,t[5]=s*s*a+i,t[6]=l*s*a+o*r,t[7]=0,t[8]=o*l*a+s*r,t[9]=s*l*a-o*r,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)}},{}],284:[function(t,e,n){e.exports=function(t,e,n){var r=e[0],i=e[1],a=e[2],o=e[3],s=r+r,l=i+i,c=a+a,u=r*s,h=r*l,d=r*c,f=i*l,p=i*c,m=a*c,g=o*s,y=o*l,v=o*c;return t[0]=1-(f+m),t[1]=h+v,t[2]=d-y,t[3]=0,t[4]=h-v,t[5]=1-(u+m),t[6]=p+g,t[7]=0,t[8]=d+y,t[9]=p-g,t[10]=1-(u+f),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}},{}],285:[function(t,e,n){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],286:[function(t,e,n){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],287:[function(t,e,n){e.exports=function(t,e){var n=Math.sin(e),r=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],288:[function(t,e,n){e.exports=function(t,e){var n=Math.sin(e),r=Math.cos(e);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],289:[function(t,e,n){e.exports=function(t,e){var n=Math.sin(e),r=Math.cos(e);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,n){e.exports=function(t,e,n,r,i,a,o){var s=1/(n-e),l=1/(i-r),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(n+e)*s,t[9]=(i+r)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],291:[function(t,e,n){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],292:[function(t,e,n){e.exports={create:t(\"./create\"),clone:t(\"./clone\"),copy:t(\"./copy\"),identity:t(\"./identity\"),transpose:t(\"./transpose\"),invert:t(\"./invert\"),adjoint:t(\"./adjoint\"),determinant:t(\"./determinant\"),multiply:t(\"./multiply\"),translate:t(\"./translate\"),scale:t(\"./scale\"),rotate:t(\"./rotate\"),rotateX:t(\"./rotateX\"),rotateY:t(\"./rotateY\"),rotateZ:t(\"./rotateZ\"),fromRotation:t(\"./fromRotation\"),fromRotationTranslation:t(\"./fromRotationTranslation\"),fromScaling:t(\"./fromScaling\"),fromTranslation:t(\"./fromTranslation\"),fromXRotation:t(\"./fromXRotation\"),fromYRotation:t(\"./fromYRotation\"),fromZRotation:t(\"./fromZRotation\"),fromQuat:t(\"./fromQuat\"),frustum:t(\"./frustum\"),perspective:t(\"./perspective\"),perspectiveFromFieldOfView:t(\"./perspectiveFromFieldOfView\"),ortho:t(\"./ortho\"),lookAt:t(\"./lookAt\"),str:t(\"./str\")}},{\"./adjoint\":277,\"./clone\":278,\"./copy\":279,\"./create\":280,\"./determinant\":281,\"./fromQuat\":282,\"./fromRotation\":283,\"./fromRotationTranslation\":284,\"./fromScaling\":285,\"./fromTranslation\":286,\"./fromXRotation\":287,\"./fromYRotation\":288,\"./fromZRotation\":289,\"./frustum\":290,\"./identity\":291,\"./invert\":293,\"./lookAt\":294,\"./multiply\":295,\"./ortho\":296,\"./perspective\":297,\"./perspectiveFromFieldOfView\":298,\"./rotate\":299,\"./rotateX\":300,\"./rotateY\":301,\"./rotateZ\":302,\"./scale\":303,\"./str\":304,\"./translate\":305,\"./transpose\":306}],293:[function(t,e,n){e.exports=function(t,e){var n=e[0],r=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],d=e[10],f=e[11],p=e[12],m=e[13],g=e[14],y=e[15],v=n*s-r*o,_=n*l-i*o,b=n*c-a*o,x=r*l-i*s,w=r*c-a*s,k=i*c-a*l,M=u*m-h*p,T=u*g-d*p,S=u*y-f*p,A=h*g-d*m,L=h*y-f*m,C=d*y-f*g,E=v*C-_*L+b*A+x*S-w*T+k*M;return E?(t[0]=(s*C-l*L+c*A)*(E=1/E),t[1]=(i*L-r*C-a*A)*E,t[2]=(m*k-g*w+y*x)*E,t[3]=(d*w-h*k-f*x)*E,t[4]=(l*S-o*C-c*T)*E,t[5]=(n*C-i*S+a*T)*E,t[6]=(g*b-p*k-y*_)*E,t[7]=(u*k-d*b+f*_)*E,t[8]=(o*L-s*S+c*M)*E,t[9]=(r*S-n*L-a*M)*E,t[10]=(p*w-m*b+y*v)*E,t[11]=(h*b-u*w-f*v)*E,t[12]=(s*T-o*A-l*M)*E,t[13]=(n*A-r*T+i*M)*E,t[14]=(m*_-p*x-g*v)*E,t[15]=(u*x-h*_+d*v)*E,t):null}},{}],294:[function(t,e,n){var r=t(\"./identity\");e.exports=function(t,e,n,i){var a,o,s,l,c,u,h,d,f,p,m=e[0],g=e[1],y=e[2],v=i[0],_=i[1],b=i[2],x=n[0],w=n[1],k=n[2];return Math.abs(m-x)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-k)<1e-6?r(t):(h=m-x,d=g-w,f=y-k,a=_*(f*=p=1/Math.sqrt(h*h+d*d+f*f))-b*(d*=p),o=b*(h*=p)-v*f,s=v*d-_*h,(p=Math.sqrt(a*a+o*o+s*s))?(a*=p=1/p,o*=p,s*=p):(a=0,o=0,s=0),l=d*s-f*o,c=f*a-h*s,u=h*o-d*a,(p=Math.sqrt(l*l+c*c+u*u))?(l*=p=1/p,c*=p,u*=p):(l=0,c=0,u=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=d,t[7]=0,t[8]=s,t[9]=u,t[10]=f,t[11]=0,t[12]=-(a*m+o*g+s*y),t[13]=-(l*m+c*g+u*y),t[14]=-(h*m+d*g+f*y),t[15]=1,t)}},{\"./identity\":291}],295:[function(t,e,n){e.exports=function(t,e,n){var r=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],d=e[9],f=e[10],p=e[11],m=e[12],g=e[13],y=e[14],v=e[15],_=n[0],b=n[1],x=n[2],w=n[3];return t[0]=_*r+b*s+x*h+w*m,t[1]=_*i+b*l+x*d+w*g,t[2]=_*a+b*c+x*f+w*y,t[3]=_*o+b*u+x*p+w*v,t[4]=(_=n[4])*r+(b=n[5])*s+(x=n[6])*h+(w=n[7])*m,t[5]=_*i+b*l+x*d+w*g,t[6]=_*a+b*c+x*f+w*y,t[7]=_*o+b*u+x*p+w*v,t[8]=(_=n[8])*r+(b=n[9])*s+(x=n[10])*h+(w=n[11])*m,t[9]=_*i+b*l+x*d+w*g,t[10]=_*a+b*c+x*f+w*y,t[11]=_*o+b*u+x*p+w*v,t[12]=(_=n[12])*r+(b=n[13])*s+(x=n[14])*h+(w=n[15])*m,t[13]=_*i+b*l+x*d+w*g,t[14]=_*a+b*c+x*f+w*y,t[15]=_*o+b*u+x*p+w*v,t}},{}],296:[function(t,e,n){e.exports=function(t,e,n,r,i,a,o){var s=1/(e-n),l=1/(r-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+n)*s,t[13]=(i+r)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],297:[function(t,e,n){e.exports=function(t,e,n,r,i){var a=1/Math.tan(e/2),o=1/(r-i);return t[0]=a/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+r)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*r*o,t[15]=0,t}},{}],298:[function(t,e,n){e.exports=function(t,e,n,r){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t}},{}],299:[function(t,e,n){e.exports=function(t,e,n,r){var i,a,o,s,l,c,u,h,d,f,p,m,g,y,v,_,b,x,w,k,M,T,S,A,L=r[0],C=r[1],E=r[2],O=Math.sqrt(L*L+C*C+E*E);return Math.abs(O)<1e-6?null:(L*=O=1/O,C*=O,E*=O,i=Math.sin(n),a=Math.cos(n),l=e[1],c=e[2],u=e[3],d=e[5],f=e[6],p=e[7],g=e[9],y=e[10],v=e[11],w=L*C*(o=1-a)-E*i,k=C*C*o+a,M=E*C*o+L*i,T=L*E*o+C*i,S=C*E*o-L*i,A=E*E*o+a,t[0]=(s=e[0])*(_=L*L*o+a)+(h=e[4])*(b=C*L*o+E*i)+(m=e[8])*(x=E*L*o-C*i),t[1]=l*_+d*b+g*x,t[2]=c*_+f*b+y*x,t[3]=u*_+p*b+v*x,t[4]=s*w+h*k+m*M,t[5]=l*w+d*k+g*M,t[6]=c*w+f*k+y*M,t[7]=u*w+p*k+v*M,t[8]=s*T+h*S+m*A,t[9]=l*T+d*S+g*A,t[10]=c*T+f*S+y*A,t[11]=u*T+p*S+v*A,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},{}],300:[function(t,e,n){e.exports=function(t,e,n){var r=Math.sin(n),i=Math.cos(n),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],d=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*r,t[5]=o*i+u*r,t[6]=s*i+h*r,t[7]=l*i+d*r,t[8]=c*i-a*r,t[9]=u*i-o*r,t[10]=h*i-s*r,t[11]=d*i-l*r,t}},{}],301:[function(t,e,n){e.exports=function(t,e,n){var r=Math.sin(n),i=Math.cos(n),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],d=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-c*r,t[1]=o*i-u*r,t[2]=s*i-h*r,t[3]=l*i-d*r,t[8]=a*r+c*i,t[9]=o*r+u*i,t[10]=s*r+h*i,t[11]=l*r+d*i,t}},{}],302:[function(t,e,n){e.exports=function(t,e,n){var r=Math.sin(n),i=Math.cos(n),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],d=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*r,t[1]=o*i+u*r,t[2]=s*i+h*r,t[3]=l*i+d*r,t[4]=c*i-a*r,t[5]=u*i-o*r,t[6]=h*i-s*r,t[7]=d*i-l*r,t}},{}],303:[function(t,e,n){e.exports=function(t,e,n){var r=n[0],i=n[1],a=n[2];return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],304:[function(t,e,n){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],305:[function(t,e,n){e.exports=function(t,e,n){var r,i,a,o,s,l,c,u,h,d,f,p,m=n[0],g=n[1],y=n[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*y+e[12],t[13]=e[1]*m+e[5]*g+e[9]*y+e[13],t[14]=e[2]*m+e[6]*g+e[10]*y+e[14],t[15]=e[3]*m+e[7]*g+e[11]*y+e[15]):(i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],d=e[9],f=e[10],p=e[11],t[0]=r=e[0],t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=d,t[10]=f,t[11]=p,t[12]=r*m+s*g+h*y+e[12],t[13]=i*m+l*g+d*y+e[13],t[14]=a*m+c*g+f*y+e[14],t[15]=o*m+u*g+p*y+e[15]),t}},{}],306:[function(t,e,n){e.exports=function(t,e){if(t===e){var n=e[1],r=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=n,t[6]=e[9],t[7]=e[13],t[8]=r,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],307:[function(t,e,n){\"use strict\";var r=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var n=[0,0,0,0],r=0;r<4;++r)for(var i=0;i<4;++i)n[i]+=t[4*r+i]*e[r];return n}function o(t,e,n,r,i){for(var o=a(r,a(n,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var n=[0,0,0],r=0;r<t.length;++r)for(var i=t[r],a=e[r],o=0;o<3;++o)n[o]+=a*i[o];return n}e.exports=function(t,e,n,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],n,a,l,c);var d=0,f=1/0;for(h=0;h<u.length;++h){for(var p=0,m=0;m<2;++m)p+=Math.pow(u[h][m]-e[m],2);p<f&&(f=p,d=h)}var g=function(t,e){if(2===t.length){for(var n=0,a=0,o=0;o<2;++o)n+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(n=Math.sqrt(n))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(n+a),n/(a+n)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),r(t,s)}return[]}(u,e),y=0;for(h=0;h<3;++h){if(g[h]<-.001||g[h]>1.0001)return null;y+=g[h]}return Math.abs(y-1)>.001?null:[d,s(t,g),g]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":525}],308:[function(t,e,n){var r=t(\"glslify\"),i=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=r([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),d=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),f=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),p=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);n.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},n.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},n.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},n.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},n.pointPickShader={vertex:d,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},n.contourShader={vertex:f,fragment:p,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:310}],309:[function(t,e,n){\"use strict\";var r=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),d=t(\"simplicial-complex-contour\"),f=t(\"typedarray-pool\"),p=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=p.meshShader,y=p.wireShader,v=p.pointShader,_=p.pickShader,b=p.pointPickShader,x=p.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m,g,y,v,_,b,x,k,M,T,S,A){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=n,this.lineShader=r,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=d,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=f,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=_,this.pointColors=x,this.pointUVs=k,this.pointSizes=M,this.pointIds=b,this.pointVAO=T,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=S,this.contourVAO=A,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var M=k.prototype;function T(t,e){if(!e)return 1;if(!e.length)return 1;for(var n=0;n<e.length;++n){if(e.length<2)return 1;if(e[n][0]===t)return e[n][1];if(e[n][0]>t&&n>0){var r=(e[n][0]-t)/(e[n][0]-e[n-1][0]);return e[n][1]*(1-r)+r*e[n-1][1]}}return 1}function S(t){var e=r(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function A(t){var e=r(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function L(t){var e=r(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=r(t,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=r(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function O(t){var e=r(t,x.vertex,x.fragment);return e.attributes.position.location=0,e}M.isOpaque=function(){return!this.hasAlpha},M.isTransparent=function(){return this.hasAlpha},M.pickSlots=1,M.setPickBase=function(t){this.pickId=t},M.highlight=function(t){if(t&&this.contourEnable){for(var e=d(this.cells,this.intensity,t.intensity),n=e.cells,r=e.vertexIds,i=e.vertexWeights,a=n.length,o=f.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=n[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var p=i[h],m=1-p,g=this.positions[r[h][0]],y=this.positions[r[h][1]],v=0;v<3;++v)o[s++]=p*g[v]+m*y[v]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),f.free(o)}else this.contourCount=0},M.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var n=h({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),i=0;i<256;++i){for(var a=n[i],o=0;o<3;++o)r[4*i+o]=a[o];r[4*i+3]=e?255*T(i/255,e):255*a[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var n=t.cells,r=t.positions;if(r&&n){var i=[],a=[],l=[],c=[],d=[],f=[],p=[],m=[],g=[],y=[],v=[],_=[],b=[],x=[];this.cells=n,this.positions=r;var w=t.vertexNormals,k=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(n,r,void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon)),k||w||(w=s.vertexNormals(n,r,M));var S=t.vertexColors,A=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,E=t.vertexIntensity,O=t.cellUVs,D=t.cellIntensity,I=1/0,P=-1/0;if(!C&&!O)if(E)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],P=+t.vertexIntensityBounds[1];else for(var R=0;R<E.length;++R){var z=E[R];I=Math.min(I,z),P=Math.max(P,z)}else if(D)if(t.cellIntensityBounds)I=+t.cellIntensityBounds[0],P=+t.cellIntensityBounds[1];else for(R=0;R<D.length;++R)z=D[R],I=Math.min(I,z),P=Math.max(P,z);else for(R=0;R<r.length;++R)z=r[R][2],I=Math.min(I,z),P=Math.max(P,z);this.intensity=E||D||function(t){for(var e=t.length,n=new Array(e),r=0;r<e;++r)n[r]=t[r][2];return n}(r),this.pickVertex=!(D||A);var j=t.pointSizes,F=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<r.length;++R)for(var N=r[R],B=0;B<3;++B)!isNaN(N[B])&&isFinite(N[B])&&(this.bounds[0][B]=Math.min(this.bounds[0][B],N[B]),this.bounds[1][B]=Math.max(this.bounds[1][B],N[B]));var Y=0,H=0,V=0;t:for(R=0;R<n.length;++R){var U=n[R];switch(U.length){case 1:for(N=r[q=U[0]],B=0;B<3;++B)if(isNaN(N[B])||!isFinite(N[B]))continue t;y.push(N[0],N[1],N[2]),G=S?S[q]:A?A[R]:L,this.opacityscale&&E?a.push(G[0],G[1],G[2],this.opacity*T((E[q]-I)/(P-I),this.opacityscale)):3===G.length?v.push(G[0],G[1],G[2],this.opacity):(v.push(G[0],G[1],G[2],G[3]*this.opacity),G[3]<1&&(this.hasAlpha=!0)),_.push((X=C?C[q]:E?[(E[q]-I)/(P-I),0]:O?O[R]:D?[(D[R]-I)/(P-I),0]:[(N[2]-I)/(P-I),0])[0],X[1]),b.push(j?j[q]:F),x.push(R),V+=1;break;case 2:for(B=0;B<2;++B){N=r[q=U[B]];for(var W=0;W<3;++W)if(isNaN(N[W])||!isFinite(N[W]))continue t}for(B=0;B<2;++B)f.push((N=r[q=U[B]])[0],N[1],N[2]),G=S?S[q]:A?A[R]:L,this.opacityscale&&E?a.push(G[0],G[1],G[2],this.opacity*T((E[q]-I)/(P-I),this.opacityscale)):3===G.length?p.push(G[0],G[1],G[2],this.opacity):(p.push(G[0],G[1],G[2],G[3]*this.opacity),G[3]<1&&(this.hasAlpha=!0)),m.push((X=C?C[q]:E?[(E[q]-I)/(P-I),0]:O?O[R]:D?[(D[R]-I)/(P-I),0]:[(N[2]-I)/(P-I),0])[0],X[1]),g.push(R);H+=1;break;case 3:for(B=0;B<3;++B)for(N=r[q=U[B]],W=0;W<3;++W)if(isNaN(N[W])||!isFinite(N[W]))continue t;for(B=0;B<3;++B){var q,G,X,Z;i.push((N=r[q=U[2-B]])[0],N[1],N[2]),(G=S?S[q]:A?A[R]:L)?this.opacityscale&&E?a.push(G[0],G[1],G[2],this.opacity*T((E[q]-I)/(P-I),this.opacityscale)):3===G.length?a.push(G[0],G[1],G[2],this.opacity):(a.push(G[0],G[1],G[2],G[3]*this.opacity),G[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),c.push((X=C?C[q]:E?[(E[q]-I)/(P-I),0]:O?O[R]:D?[(D[R]-I)/(P-I),0]:[(N[2]-I)/(P-I),0])[0],X[1]),l.push((Z=w?w[q]:k[R])[0],Z[1],Z[2]),d.push(R)}Y+=1}}this.pointCount=V,this.edgeCount=H,this.triangleCount=Y,this.pointPositions.update(y),this.pointColors.update(v),this.pointUVs.update(_),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(x)),this.edgePositions.update(f),this.edgeColors.update(p),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(d))}},M.drawTransparent=M.draw=function(t){for(var e=this.gl,n=(t=t||{}).model||w,r=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:n,view:r,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(l(u,s.view,s.model),l(u,s.projection,u),c(u,u),o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,d=u[15];for(o=0;o<3;++o)d+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var f=u[12+o],p=0;p<3;++p)f+=u[4*p+o]*this.lightPosition[p];s.lightPosition[o]=f/d}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},M.drawPick=function(t){for(var e=this.gl,n=(t=t||{}).model||w,r=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(n),this._view=[].slice.call(r),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:n,view:r,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},M.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],n=this.cells[e],r=this.positions,i=new Array(n.length),a=0;a<n.length;++a)i[a]=r[n[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[n[0]],c=this.positions[n[1]],u=this.positions[n[2]];return{_cellCenter:!0,position:[o,s],index:e,cell:n,cellId:e,intensity:this.intensity[e],dataCoordinate:[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3]}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var d=h[2],f=0;for(a=0;a<n.length;++a)f+=d[a]*this.intensity[n[a]];return{position:h[1],index:n[h[0]],cell:n,cellId:e,intensity:f,dataCoordinate:this.positions[n[h[0]]]}},M.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var n=S(t),r=A(t),s=L(t),l=C(t),c=E(t),h=O(t),d=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));d.generateMipmap(),d.minFilter=t.LINEAR_MIPMAP_LINEAR,d.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),g=i(t),y=i(t),v=a(t,[{buffer:f,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:p,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:g,type:t.FLOAT,size:3}]),_=i(t),b=i(t),x=i(t),w=i(t),M=a(t,[{buffer:_,type:t.FLOAT,size:3},{buffer:w,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:b,type:t.FLOAT,size:4},{buffer:x,type:t.FLOAT,size:2}]),T=i(t),D=i(t),I=i(t),P=i(t),R=i(t),z=a(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:D,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:P,type:t.FLOAT,size:1}]),j=i(t),F=new k(t,d,n,r,s,l,c,h,f,y,p,m,g,v,_,w,b,x,M,T,R,D,I,P,z,j,a(t,[{buffer:j,type:t.FLOAT,size:3}]));return F.update(e),F}},{\"./lib/closest-point\":307,\"./lib/shaders\":308,colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-shader\":335,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495,normals:498,\"simplicial-complex-contour\":556,\"typedarray-pool\":595}],310:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],311:[function(t,e,n){\"use strict\";e.exports=function(t){var e=t.gl;return new o(t,r(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var r=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,n){this.plot=t,this.vbo=e,this.shader=n}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,n,r,i){var a=this.shader,o=this.plot.gl;s[0]=t,s[1]=e,l[0]=n,l[1]=r,a.uniforms.lo=s,a.uniforms.hi=l,a.uniforms.color=i,o.drawArrays(o.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"gl-buffer\":259,\"gl-shader\":335}],312:[function(t,e,n){\"use strict\";e.exports=function(t){var e=t.gl;return new s(t,r(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var r=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,n,r){this.plot=t,this.vbo=e,this.shader=n,this.tickShader=r,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,d,f,p=s.prototype;p.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,n=this.shader,r=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,d=t.gridLineColor,f=t.gridLineEnable,p=t.pixelRatio,m=0;m<2;++m){var g=a[m],y=.5*(o[m+2]+o[m]),v=o[m+2]-o[m];u[m]=2*(a[m+2]-g)/v,c[m]=2*(g-y)/v}n.bind(),e.bind(),n.attributes.dataCoord.pointer(),n.uniforms.dataShift=c,n.uniforms.dataScale=u;var _=0;for(m=0;m<2;++m){h[0]=h[1]=0,h[m]=1,n.uniforms.dataAxis=h,n.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*p,n.uniforms.color=d[m];var b=6*r[m].length;f[m]&&b&&i.drawArrays(i.TRIANGLES,_,b),_+=b}}),p.drawTickMarks=function(){var t=[0,0],e=[0,0],n=[1,0],r=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,d=s.gl,f=s._tickBounds,p=s.dataBox,m=s.viewBox,g=s.pixelRatio,y=s.screenBox,v=y[2]-y[0],_=y[3]-y[1],b=m[2]-m[0],x=m[3]-m[1],w=0;w<2;++w){var k=f[w],M=.5*(p[w+2]+p[w]),T=p[w+2]-p[w];e[w]=2*(f[w+2]-k)/T,t[w]=2*(k-M)/T}e[0]*=b/v,t[0]*=b/v,e[1]*=x/_,t[1]*=x/_,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var A=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,E=6*h[0].length,O=Math.min(a.ge(h[0],(p[0]-f[0])/(f[2]-f[0]),l),h[0].length),D=Math.min(a.gt(h[0],(p[2]-f[0])/(f[2]-f[0]),l),h[0].length),I=0+6*O,P=6*Math.max(0,D-O),R=Math.min(a.ge(h[1],(p[1]-f[1])/(f[3]-f[1]),l),h[1].length),z=Math.min(a.gt(h[1],(p[3]-f[1])/(f[3]-f[1]),l),h[1].length),j=E+6*R,F=6*Math.max(0,z-R);i[0]=2*(m[0]-A[1])/v-1,i[1]=(m[3]+m[1])/_-1,o[0]=A[1]*g/v,o[1]=L[1]*g/_,F&&(S.color=C[1],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,d.drawArrays(d.TRIANGLES,j,F)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[1]-A[0])/_-1,o[0]=L[0]*g/v,o[1]=A[0]*g/_,P&&(S.color=C[0],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,d.drawArrays(d.TRIANGLES,I,P)),i[0]=2*(m[2]+A[3])/v-1,i[1]=(m[3]+m[1])/_-1,o[0]=A[3]*g/v,o[1]=L[3]*g/_,F&&(S.color=C[3],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,d.drawArrays(d.TRIANGLES,j,F)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[3]+A[2])/_-1,o[0]=L[2]*g/v,o[1]=A[2]*g/_,P&&(S.color=C[2],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,d.drawArrays(d.TRIANGLES,I,P))}}(),p.update=(d=[1,1,-1,-1,1,-1],f=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,n=t.bounds,r=new Float32Array(18*(e[0].length+e[1].length)),i=0,a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=n[o],u=n[o+2],h=0;h<l.length;++h){var p=(l[h].x-c)/(u-c);s.push(p);for(var m=0;m<6;++m)r[i++]=p,r[i++]=d[m],r[i++]=f[m]}this.ticks=a,this.vbo.update(r)}),p.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":314,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335}],313:[function(t,e,n){\"use strict\";e.exports=function(t){var e=t.gl;return new o(t,r(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var r=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,n){this.plot=t,this.vbo=e,this.shader=n}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,n,r,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=n,l[1]=r,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"gl-buffer\":259,\"gl-shader\":335}],314:[function(t,e,n){\"use strict\";var r=t(\"glslify\"),i=r([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:r([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:316}],315:[function(t,e,n){\"use strict\";e.exports=function(t){var e=t.gl;return new l(t,r(e),i(e,s.textVert,s.textFrag))};var r=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,n){this.plot=t,this.vbo=e,this.shader=n,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,d,f,p,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,n=this.shader,r=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,d=e.screenBox,f=e.pixelRatio,p=e.tickEnable,m=e.tickPad,g=e.tickColor,y=e.tickAngle,v=e.labelEnable,_=e.labelPad,b=e.labelColor,x=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],M=o.lt(r,l[t]),T=o.le(r,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(d[2+t]-d[t])-1;var S=2/d[2+(1^t)]-d[1^t];u[1^t]=S*s[1^t]-1,p[t]&&(u[1^t]-=S*f*m[t],M<T&&i[T]>i[M]&&(n.uniforms.dataAxis=c,n.uniforms.screenOffset=u,n.uniforms.color=g[t],n.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[M],i[T]-i[M]))),v[t]&&k&&(u[1^t]-=S*f*_[t],n.uniforms.dataAxis=h,n.uniforms.screenOffset=u,n.uniforms.color=b[t],n.uniforms.angle=x[t],a.drawArrays(a.TRIANGLES,w,k)),u[1^t]=S*s[2+(1^t)]-1,p[t+2]&&(u[1^t]+=S*f*m[t+2],M<T&&i[T]>i[M]&&(n.uniforms.dataAxis=c,n.uniforms.screenOffset=u,n.uniforms.color=g[t+2],n.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[M],i[T]-i[M]))),v[t+2]&&k&&(u[1^t]+=S*f*_[t+2],n.uniforms.dataAxis=h,n.uniforms.screenOffset=u,n.uniforms.color=b[t+2],n.uniforms.angle=x[t+2],a.drawArrays(a.TRIANGLES,w,k))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var n=this.plot,r=this.shader,i=n.gl,a=n.screenBox,o=n.titleCenter,s=n.titleAngle,l=n.titleColor,c=n.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;r.bind(),r.uniforms.dataAxis=t,r.uniforms.screenOffset=e,r.uniforms.angle=s,r.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(d=[0,0],f=[0,0],p=[0,0],function(){var t=this.plot,e=this.shader,n=t._tickBounds,r=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=n[o],l=.5*(r[o+2]+r[o]),c=r[o+2]-r[o],u=a[o+2]-a[o],h=i[o+2]-i[o];f[o]=2*(n[o+2]-s)/c*u/h,d[o]=2*(s-l)/c*u/h}p[1]=2*t.pixelRatio/(i[3]-i[1]),p[0]=p[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=f,e.uniforms.dataShift=d,e.uniforms.textScale=p,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,n,r,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],d=l[o];for(e=0;e<d.length;++e){var f=d[e],p=f.x,m=f.font||\"sans-serif\";i=f.fontSize||12;for(var g=1/(c[o+2]-c[o]),y=c[o],v=f.text.split(\"\\n\"),_=0;_<v.length;_++)for(r=a(m,v[_]).data,n=0;n<r.length;n+=2)s.push(r[n]*i,-r[n+1]*i-_*i*1.2,(p-y)*g);u.push(Math.floor(s.length/3)),h.push(p)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),r=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<r.length;e+=2)s.push(r[e]*i,-r[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),r=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<r.length;e+=2)s.push(r[e]*i,-r[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335,\"text-cache\":575}],316:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],317:[function(t,e,n){\"use strict\";e.exports=function(t){var e=t.gl,n=new l(e,r(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return n.grid=i(n),n.text=a(n),n.line=o(n),n.box=s(n),n.update(t),n};var r=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),n=0;n<e.length;++n)e[n]=e[n].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,n=this.viewBox,r=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(n[0],n[1],n[2]-n[0],n[3]-n[1]),t.viewport(n[0],n[1],n[2]-n[0],n[3]-n[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,d=this.zeroLineColor,f=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&r[p]<=0&&r[p+2]>=0){var m=e[p]-r[p]*(e[p+2]-e[p])/(r[p+2]-r[p]);0===p?o.drawLine(m,e[1],m,e[3],f[p],d[p]):o.drawLine(e[0],m,e[2],m,f[p],d[p])}}for(p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,v=this.borderLineColor;for(g[1]&&o.drawLine(n[0],n[1]-.5*y[1]*i,n[0],n[3]+.5*y[3]*i,y[1],v[1]),g[0]&&o.drawLine(n[0]-.5*y[0]*i,n[1],n[2]+.5*y[2]*i,n[1],y[0],v[0]),g[3]&&o.drawLine(n[2],n[1]-.5*y[1]*i,n[2],n[3]+.5*y[3]*i,y[3],v[3]),g[2]&&o.drawLine(n[0]-.5*y[0]*i,n[3],n[2]+.5*y[2]*i,n[3],y[2],v[2]),s.bind(),p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();var _=this.overlays;for(p=0;p<_.length;++p)_[p].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this._pickTimeout=null,t.begin();for(var e=1,n=this.objects,r=0;r<n.length;++r)e=n[r].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var n=this.pixelRatio,r=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/n)*r),o=0|Math.round((e-i[1]/n)*r),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,n=this.pixelRatio;e[0]=0|Math.round(t[0]*n),e[1]=0|Math.round(t[1]*n),e[2]=0|Math.round(t[2]*n),e[3]=0|Math.round(t[3]*n),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,n=this.viewBox;n[0]=0|Math.round(t[0]*e),n[1]=0|Math.round(t[1]*e),n[2]=0|Math.round(t[2]*e),n[3]=0|Math.round(t[3]*e);var r=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*r),0|Math.round((t[3]-t[1])*r)],this.setDirty()},c.update=function(t){var e=this.gl;this.pixelRatio=(t=t||{}).pixelRatio||1;var n=this.pixelRatio;this.pickPixelRatio=Math.max(n,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/n,e.drawingBufferHeight/n]),this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/n,.125*(this.screenBox[3]-this.screenBox[1])/n,.875*(this.screenBox[2]-this.screenBox[0])/n,.875*(this.screenBox[3]-this.screenBox[1])/n]);var r=this.viewBox,i=(r[2]-r[0])/(r[3]-r[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(r[0]+r[2])/n,(r[3]+120)/n]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,n=0;n<e.length;++n)if(e[n]===t){e.splice(n,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,n=0;n<e.length;++n)if(e[n]===t){e.splice(n,1),this.setOverlayDirty();break}}},{\"./lib/box\":311,\"./lib/grid\":312,\"./lib/line\":313,\"./lib/text\":315,\"gl-select-static\":334}],318:[function(t,e,n){\"use strict\";e.exports=function(t,e){t=t||document.body;var n=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(n[0]=e.distanceLimits[0],n[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(n[0]=e.zoomMin),\"zoomMax\"in e&&(n[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:n}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,d=t.clientWidth,f=t.clientHeight,p={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=r(),n=this.delay,i=e-2*n;c.idle(e-n),c.recalcMatrix(i),c.flush(e-(100+2*n));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===d&&t.clientHeight===f;return d=t.clientWidth,f=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,n){c.lookAt(c.lastT(),t,e,n)},rotate:function(t,e,n){c.rotate(c.lastT(),t,e,n)},pan:function(t,e,n){c.pan(c.lastT(),t,e,n)},translate:function(t,e,n){c.translate(c.lastT(),t,e,n)}};return Object.defineProperties(p,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),n=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=r();c._active.lookAt(a,n,i,e),c._active.lookAt(a+500,n,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(n)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),p._lastX=-1,p._lastY=-1,p._lastMods={shift:!1,control:!1,alt:!1,meta:!1},p.enableMouseListeners=function(){function e(e,n,i,a){var o=p.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,d=!!a.control,f=!!a.alt,m=!!a.shift,g=!!(1&e),y=!!(2&e),v=!!(4&e),_=1/t.clientHeight,b=_*(n-p._lastX),x=_*(i-p._lastY),w=p.flipX?1:-1,k=p.flipY?1:-1,M=Math.PI*p.rotateSpeed,T=r();if(-1!==p._lastX&&-1!==p._lastY&&((s&&g&&!d&&!f&&!m||g&&!d&&!f&&m)&&c.rotate(T,w*M*b,-k*M*x,0),(l&&g&&!d&&!f&&!m||y||g&&d&&!f&&!m)&&c.pan(T,-p.translateSpeed*b*h,p.translateSpeed*x*h,0),u&&g&&!d&&!f&&!m||v||g&&!d&&f&&!m)){var S=-p.zoomSpeed*x/window.innerHeight*(T-c.lastT())*100;c.pan(T,0,0,h*(Math.exp(S)-1))}return p._lastX=n,p._lastY=i,p._lastMods=a,!0}}p.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(n){var r=s(n.changedTouches[0],t);e(0,r[0],r[1],p._lastMods),e(1,r[0],r[1],p._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(n){var r=s(n.changedTouches[0],t);e(1,r[0],r[1],p._lastMods),n.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,p._lastX,p._lastY,p._lastMods)}),!!l&&{passive:!0}),p.wheelListener=o(t,(function(t,e){if(!1!==p.keyBindingMode&&p.enableWheel){var n=p.flipX?1:-1,i=p.flipY?1:-1,a=r();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*n*Math.PI*p.rotateSpeed/window.innerWidth);else if(!p._ortho){var o=-p.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}}),!0)},p.enableMouseListeners(),p};var r=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":441,\"mouse-change\":483,\"mouse-event-offset\":484,\"mouse-wheel\":486,\"right-now\":542}],319:[function(t,e,n){var r=t(\"glslify\"),i=t(\"gl-shader\"),a=r([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":335,glslify:320}],320:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],321:[function(t,e,n){\"use strict\";var r=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),d=t(\"gl-mat4/ortho\"),f=t(\"./lib/shader\"),p=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var n=Math.round(Math.pow(10,-e));return Math.ceil(t*n)/n}return e>0?(n=Math.round(Math.pow(10,e)),Math.ceil(t/n)*n):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var n=t.gl;if(n||(t.glOptions&&(p=!!t.glOptions.preserveDrawingBuffer),n=function(t,e){var n=null;try{(n=t.getContext(\"webgl\",e))||(n=t.getContext(\"experimental-webgl\",e))}catch(r){return null}return n}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:p})),!n)throw new Error(\"webgl not supported\");var v=t.bounds||[[-10,-10,-10],[10,10,10]],_=new m,b=l(n,n.drawingBufferWidth,n.drawingBufferHeight,{preferFloat:!p}),x=f(n),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,k={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},M=t.axes||{},T=i(n,M);T.enable=!M.disable;var S=o(n,t.spikes||{}),A=[],L=[],C=[],E=[],O=!0,D=!0,I={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},P=(D=!0,[n.drawingBufferWidth,n.drawingBufferHeight]),R=t.cameraObject||r(e,k),z={gl:n,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:_,camera:R,axes:T,axesPixels:null,spikes:S,bounds:v,objects:A,shape:P,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:I,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,D=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[n.drawingBufferWidth/z.pixelRatio|0,n.drawingBufferHeight/z.pixelRatio|0];function F(){if(!z._stopped&&z.autoResize){var t=e.parentNode,n=1,r=1;t&&t!==document.body?(n=t.clientWidth,r=t.clientHeight):(n=window.innerWidth,r=window.innerHeight);var i=0|Math.ceil(n*z.pixelRatio),a=0|Math.ceil(r*z.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=n+\"px\",o.height=r+\"px\",O=!0}}}function N(){for(var t=A.length,e=E.length,r=0;r<e;++r)C[r]=0;t:for(r=0;r<t;++r){var i=A[r],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[r]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(n,P);L[r]=e,E.push(l),C.push(a),i.setPickBase(1),e+=1}else L[r]=-1}for(;e>0&&0===C[e-1];)C.pop(),E.pop().dispose()}function B(){if(z.contextLost)return!0;n.isContextLost()&&(z.contextLost=!0,z.mouseListener.enabled=!1,z.selection.object=null,z.oncontextloss&&z.oncontextloss())}z.autoResize&&F(),window.addEventListener(\"resize\",F),z.update=function(t){z._stopped||(t=t||{},O=!0,D=!0)},z.add=function(t){z._stopped||(t.axes=T,A.push(t),L.push(-1),O=!0,D=!0,N())},z.remove=function(t){if(!z._stopped){var e=A.indexOf(t);e<0||(A.splice(e,1),L.pop(),O=!0,D=!0,N())}},z.dispose=function(){if(!z._stopped&&(z._stopped=!0,window.removeEventListener(\"resize\",F),e.removeEventListener(\"webglcontextlost\",B),z.mouseListener.enabled=!1,!z.contextLost)){T.dispose(),S.dispose();for(var t=0;t<A.length;++t)A[t].dispose();for(b.dispose(),t=0;t<E.length;++t)E[t].dispose();x.dispose(),n=null,T=null,S=null,A=[]}},z._mouseRotating=!1,z._prevButtons=0,z.enableMouseListeners=function(){z.mouseListener=u(e,(function(t,e,n){if(!z._stopped){var r=E.length,i=A.length,a=_.object;_.distance=1/0,_.mouse[0]=e,_.mouse[1]=n,_.object=null,_.screen=null,_.dataCoordinate=_.dataPosition=null;var o=!1;if(t&&z._prevButtons)z._mouseRotating=!0;else{z._mouseRotating&&(D=!0),z._mouseRotating=!1;for(var s=0;s<r;++s){var l=E[s].query(e,j[1]-n-1,z.pickRadius);if(l){if(l.distance>_.distance)continue;for(var c=0;c<i;++c){var u=A[c];if(L[c]===s){var h=u.pick(l);h&&(_.buttons=t,_.screen=l.coord,_.distance=l.distance,_.object=u,_.index=h.distance,_.dataPosition=h.position,_.dataCoordinate=h.dataCoordinate,_.data=h,o=!0)}}}}}a&&a!==_.object&&(a.highlight&&a.highlight(null),O=!0),_.object&&(_.object.highlight&&_.object.highlight(_.data),O=!0),(o=o||_.object!==a)&&z.onselect&&z.onselect(_),1&t&&!(1&z._prevButtons)&&z.onclick&&z.onclick(_),z._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",B);var Y=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[Y[0].slice(),Y[1].slice()];function V(){if(!B()){F();var t=z.camera.tick();I.view=z.camera.matrix,O=O||t,D=D||t,T.pixelRatio=z.pixelRatio,S.pixelRatio=z.pixelRatio;var e=A.length,r=Y[0],i=Y[1];r[0]=r[1]=r[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(R=A[o]).pixelRatio=z.pixelRatio,R.axes=z.axes,O=O||!!R.dirty,D=D||!!R.dirty;var s=R.bounds;if(s)for(var l=s[0],u=s[1],f=0;f<3;++f)r[f]=Math.min(r[f],l[f]),i[f]=Math.max(i[f],u[f])}var p=z.bounds;if(z.autoBounds)for(f=0;f<3;++f){if(i[f]<r[f])r[f]=-1,i[f]=1;else{r[f]===i[f]&&(r[f]-=1,i[f]+=1);var m=.05*(i[f]-r[f]);r[f]=r[f]-m,i[f]=i[f]+m}p[0][f]=r[f],p[1][f]=i[f]}var y=!1;for(f=0;f<3;++f)y=y||H[0][f]!==p[0][f]||H[1][f]!==p[1][f],H[0][f]=p[0][f],H[1][f]=p[1][f];if(D=D||y,O=O||y){if(y){var v=[0,0,0];for(o=0;o<3;++o)v[o]=g((p[1][o]-p[0][o])/10);T.update(T.autoTicks?{bounds:p,tickSpacing:v}:{bounds:p})}var k=n.drawingBufferWidth,M=n.drawingBufferHeight;for(P[0]=k,P[1]=M,j[0]=0|Math.max(k/z.pixelRatio,1),j[1]=0|Math.max(M/z.pixelRatio,1),function(t,e){var n=t.bounds,r=t.cameraParams,i=r.projection,a=r.model,o=t.zNear,s=t.zFar,l=t.fovy,c=t.gl.drawingBufferWidth/t.gl.drawingBufferHeight;e?(d(i,-c,c,-1,1,o,s),r._ortho=!0):(h(i,l,c,o,s),r._ortho=!1);for(var u=0;u<16;++u)a[u]=0;a[15]=1;var f=0;for(u=0;u<3;++u)f=Math.max(f,n[1][u]-n[0][u]);for(u=0;u<3;++u)a[5*u]=t.autoScale?t.aspect[u]/(n[1][u]-n[0][u]):1/f,t.autoCenter&&(a[12+u]=.5*-a[5*u]*(n[0][u]+n[1][u]))}(z,w),o=0;o<e;++o)(R=A[o]).axesBounds=p,z.clipToBounds&&(R.clipBounds=p);_.object&&(S.position=z.snapToData?_.dataCoordinate:_.dataPosition,S.bounds=p),D&&(D=!1,function(){if(!B()){n.colorMask(!0,!0,!0,!0),n.depthMask(!0),n.disable(n.BLEND),n.enable(n.DEPTH_TEST),n.depthFunc(n.LEQUAL);for(var t=A.length,e=E.length,r=0;r<e;++r){var i=E[r];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===r){var o=A[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(I))}i.end()}}}()),z.axesPixels=a(z.axes,I,k,M),z.onrender&&z.onrender(),n.bindFramebuffer(n.FRAMEBUFFER,null),n.viewport(0,0,k,M),z.clearRGBA(),n.depthMask(!0),n.colorMask(!0,!0,!0,!0),n.enable(n.DEPTH_TEST),n.depthFunc(n.LEQUAL),n.disable(n.BLEND),n.disable(n.CULL_FACE);var C=!1;for(T.enable&&(C=C||T.isTransparent(),T.draw(I)),S.axes=T,_.object&&S.draw(I),n.disable(n.CULL_FACE),o=0;o<e;++o)(R=A[o]).axes=T,R.pixelRatio=z.pixelRatio,R.isOpaque&&R.isOpaque()&&R.draw(I),R.isTransparent&&R.isTransparent()&&(C=!0);if(C){for(b.shape=P,b.bind(),n.clear(n.DEPTH_BUFFER_BIT),n.colorMask(!1,!1,!1,!1),n.depthMask(!0),n.depthFunc(n.LESS),T.enable&&T.isTransparent()&&T.drawTransparent(I),o=0;o<e;++o)(R=A[o]).isOpaque&&R.isOpaque()&&R.draw(I);for(n.enable(n.BLEND),n.blendEquation(n.FUNC_ADD),n.blendFunc(n.ONE,n.ONE_MINUS_SRC_ALPHA),n.colorMask(!0,!0,!0,!0),n.depthMask(!1),n.clearColor(0,0,0,0),n.clear(n.COLOR_BUFFER_BIT),T.isTransparent()&&T.drawTransparent(I),o=0;o<e;++o){var R;(R=A[o]).isTransparent&&R.isTransparent()&&R.drawTransparent(I)}n.bindFramebuffer(n.FRAMEBUFFER,null),n.blendFunc(n.ONE,n.ONE_MINUS_SRC_ALPHA),n.disable(n.DEPTH_TEST),x.bind(),b.color[0].bind(0),x.uniforms.accumBuffer=0,c(n),n.disable(n.BLEND)}for(O=!1,o=0;o<e;++o)A[o].dirty=!1}}}return z.enableMouseListeners(),function t(){z._stopped||z.contextLost||(V(),requestAnimationFrame(t))}(),z.redraw=function(){z._stopped||(O=!0,V())},z},createCamera:r}},{\"./camera.js\":318,\"./lib/shader\":319,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":258,\"gl-fbo\":269,\"gl-mat4/ortho\":296,\"gl-mat4/perspective\":297,\"gl-select-static\":334,\"gl-spikes3d\":345,\"is-mobile\":467,\"mouse-change\":483}],322:[function(t,e,n){var r=t(\"glslify\");n.pointVertex=r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),n.pointFragment=r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),n.pickVertex=r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),n.pickFragment=r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:323}],323:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],324:[function(t,e,n){\"use strict\";var r=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,n,r,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=n,this.shader=r,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var n=t.gl,a=new s(t,i(n),i(n),r(n,o.pointVertex,o.pointFragment),r(n,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function n(e,n){return e in t?t[e]:n}t=t||{},this.sizeMin=n(\"sizeMin\",.5),this.sizeMax=n(\"sizeMax\",20),this.color=n(\"color\",[1,0,0,1]).slice(),this.areaRatio=n(\"areaRatio\",1),this.borderColor=n(\"borderColor\",[0,0,0,1]).slice(),this.blend=n(\"blend\",!1);var r=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=r,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(r);if(i||l.set(s),!o)for(l.set(s),e=0;e<r;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=r,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,n=e?this.pickShader:this.shader,r=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var n,r=0,i=t.length>>>1;for(n=0;n<i;n++){var a=t[2*n],o=t[2*n+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&r++}return r}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),n.bind(),n.attributes.position.pointer(),n.uniforms.matrix=l,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointCloud=u<5,n.uniforms.pointSize=u,n.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),n.attributes.pickId.pointer(r.UNSIGNED_BYTE),n.uniforms.pickOffset=c,this.pickOffset=t);var h=r.getParameter(r.BLEND),d=r.getParameter(r.DITHER);return h&&!this.blend&&r.disable(r.BLEND),d&&r.disable(r.DITHER),r.drawArrays(r.POINTS,0,this.pointCount),h&&!this.blend&&r.enable(r.BLEND),d&&r.enable(r.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,n){var r=this.pickOffset;if(n<r||n>=r+this.pointCount)return null;var i=n-r,a=this.points;return{object:this,pointId:i,dataCoord:[a[2*i],a[2*i+1]]}}},{\"./lib/shader\":322,\"gl-buffer\":259,\"gl-shader\":335,\"typedarray-pool\":595}],325:[function(t,e,n){e.exports=function(t,e,n,r){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],d=e[3],f=n[0],p=n[1],m=n[2],g=n[3];return(a=c*f+u*p+h*m+d*g)<0&&(a=-a,f=-f,p=-p,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-r)*i)/o,l=Math.sin(r*i)/o):(s=1-r,l=r),t[0]=s*c+l*f,t[1]=s*u+l*p,t[2]=s*h+l*m,t[3]=s*d+l*g,t}},{}],326:[function(t,e,n){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],327:[function(t,e,n){\"use strict\";var r=t(\"vectorize-text\");e.exports=function(t,e,n){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=r(t,o);o.triangles=!1;var l,c,u=r(t,o);if(n&&1!==n){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=n;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=n}var h=[[1/0,1/0],[-1/0,-1/0]],d=u.positions.length;for(l=0;l<d;++l){var f=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],f[c]),h[1][c]=Math.max(h[1][c],f[c])}return a[t]=[s,u,h]};var i={}},{\"vectorize-text\":600}],328:[function(t,e,n){var r=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},d={vertex:o,fragment:l,attributes:u},f={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function y(t,e){var n=r(t,e),i=n.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,n}n.createPerspective=function(t){return y(t,h)},n.createOrtho=function(t){return y(t,d)},n.createProject=function(t){return y(t,f)},n.createPickPerspective=function(t){return y(t,p)},n.createPickOrtho=function(t){return y(t,m)},n.createPickProject=function(t){return y(t,g)}},{\"gl-shader\":335,glslify:329}],329:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],330:[function(t,e,n){\"use strict\";var r=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){var n=t[0],r=t[1],i=t[2],a=t[3];return t[0]=e[0]*n+e[4]*r+e[8]*i+e[12]*a,t[1]=e[1]*n+e[5]*r+e[9]*i+e[13]*a,t[2]=e[2]*n+e[6]*r+e[10]*i+e[14]*a,t[3]=e[3]*n+e[7]*r+e[11]*i+e[15]*a,t}function f(t,e,n,r){return d(r,r),d(r,r),d(r,r)}function p(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,n,r,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=n,this.projectShader=r,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new p(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,n=l.createPerspective(e),r=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),d=i(e),f=i(e),p=i(e),m=new g(e,n,r,o,h,d,f,p,a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:d,size:4,type:e.FLOAT},{buffer:f,size:2,type:e.FLOAT},{buffer:p,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,c,u);return m.update(t),m};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var v=[0,0],_=[0,0,0],b=[0,0,0],x=[0,0,0,1],w=[0,0,0,1],k=h.slice(),M=[0,0,0],T=[[0,0,0],[0,0,0]];function S(t){return t[0]=t[1]=t[2]=0,t}function A(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function L(t,e,n,r){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[n]=r,t}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function E(t,e,n,r,i,a,o){var l=n.gl;if((a===n.projectHasAlpha||o)&&function(t,e,n,r){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=n.model||h,u=n.view||h,d=n.projection||h,p=e.axesBounds,m=function(t){for(var e=T,n=0;n<2;++n)for(var r=0;r<3;++r)e[n][r]=Math.max(Math.min(t[n][r],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],v[0]=2/o.drawingBufferWidth,v[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=d,l.screenSize=v,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=r;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=k,C=0;C<16;++C)y[C]=0;for(C=0;C<4;++C)y[5*C]=1;y[5*g]=0,y[12+g]=i[g]<0?p[0][g]:p[1][g],s(y,c,y),l.model=y;var E=(g+1)%3,O=(g+2)%3,D=S(_),I=S(b);D[E]=1,I[O]=1;var P=f(0,0,0,A(x,D)),R=f(0,0,0,A(w,I));if(Math.abs(P[1])>Math.abs(R[1])){var z=P;P=R,R=z,z=D,D=I,I=z;var j=E;E=O,O=j}P[0]<0&&(D[E]=-1),R[1]>0&&(I[O]=-1);var F=0,N=0;for(C=0;C<4;++C)F+=Math.pow(c[4*E+C],2),N+=Math.pow(c[4*O+C],2);D[E]/=Math.sqrt(F),I[O]/=Math.sqrt(N),l.axes[0]=D,l.axes[1]=I,l.fragClipBounds[0]=L(M,m[0],g,-1e8),l.fragClipBounds[1]=L(M,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*r),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,n,r,i),a===n.hasAlpha||o){t.bind();var c=t.uniforms;c.model=r.model||h,c.view=r.view||h,c.projection=r.projection||h,v[0]=2/l.drawingBufferWidth,v[1]=2/l.drawingBufferHeight,c.screenSize=v,c.highlightId=n.highlightId,c.highlightScale=n.highlightScale,c.fragClipBounds=C,c.clipBounds=n.axes.bounds,c.opacity=n.opacity,c.pickGroup=n.pickId/255,c.pixelRatio=i,n.vao.bind(),n.vao.draw(l.TRIANGLES,n.vertexCount),n.lineWidth>0&&(l.lineWidth(n.lineWidth*i),n.vao.draw(l.LINES,n.lineVertexCount,n.vertexCount)),n.vao.unbind()}}function O(t,e,n,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;r(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,n,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){E(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){E(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){E(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var n=this.points[e],r=this._selectResult;r.index=e;for(var i=0;i<3;++i)r.position[i]=r.dataCoordinate[i]=n[i];return r},y.highlight=function(t){if(t){var e=t.index;this.highlightId=[(255&e)/255,(e>>8&255)/255,(e>>16&255)/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t&&(this.projectScale=Array.isArray(t.projectScale)?t.projectScale.slice():[n=+t.projectScale,n,n]),this.projectHasAlpha=!1,\"projectOpacity\"in t){var n;this.projectOpacity=Array.isArray(t.projectOpacity)?t.projectOpacity.slice():[n=+t.projectOpacity,n,n];for(var r=0;r<3;++r)this.projectOpacity[r]=m(this.projectOpacity[r]),this.projectOpacity[r]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else for(i=[],a=[],r=0;r<c.length;++r)i[r]=c[r][0],a[r]=c[r][1];var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],d=t.glyph,f=t.color,p=t.size,g=t.angle,y=t.lineColor,v=-1,_=0,b=0,x=0;if(s.length){x=s.length;t:for(r=0;r<x;++r){for(var w=s[r],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var M=(j=O(d,r,l,this.pixelRatio)).bounds;_+=3*(F=j.mesh).cells.length,b+=2*(N=j.lines).edges.length}}var T=_+b,S=o.mallocFloat(3*T),A=o.mallocFloat(4*T),L=o.mallocFloat(2*T),C=o.mallocUint32(T);if(T>0){var E=0,D=_,I=[0,0,0,1],P=[0,0,0,1],R=Array.isArray(f)&&Array.isArray(f[0]),z=Array.isArray(y)&&Array.isArray(y[0]);t:for(r=0;r<x;++r){for(v+=1,w=s[r],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}var j,F=(j=O(d,r,l,this.pixelRatio)).mesh,N=j.lines,B=(M=j.bounds,j.visible);if(B)if(Array.isArray(f)){if(3===(Y=R?r<f.length?f[r]:[0,0,0,0]:f).length){for(k=0;k<3;++k)I[k]=Y[k];I[3]=1}else if(4===Y.length){for(k=0;k<4;++k)I[k]=Y[k];!this.hasAlpha&&Y[3]<1&&(this.hasAlpha=!0)}}else I[0]=I[1]=I[2]=0,I[3]=1;else I=[1,1,1,0];if(B)if(Array.isArray(y)){var Y;if(3===(Y=z?r<y.length?y[r]:[0,0,0,0]:y).length){for(k=0;k<3;++k)P[k]=Y[k];P[k]=1}else if(4===Y.length){for(k=0;k<4;++k)P[k]=Y[k];!this.hasAlpha&&Y[3]<1&&(this.hasAlpha=!0)}}else P[0]=P[1]=P[2]=0,P[3]=1;else P=[1,1,1,0];var H=.5;B?Array.isArray(p)?H=r<p.length?+p[r]:12:p?H=+p:this.useOrtho&&(H=12):H=0;var V=0;Array.isArray(g)?V=r<g.length?+g[r]:0:g&&(V=+g);var U=Math.cos(V),W=Math.sin(V);for(w=s[r],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var q=i,G=a;q=0,Array.isArray(i)?q=r<i.length?i[r]:0:i&&(q=i),G=0,Array.isArray(a)?G=r<a.length?a[r]:0:a&&(G=a);var X=[q*=q>0?1-M[0][0]:q<0?1+M[1][0]:1,G*=G>0?1-M[0][1]:G<0?1+M[1][1]:1],Z=F.cells||[],J=F.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],$=0;$<3;++$){for(var Q=0;Q<3;++Q)S[3*E+Q]=w[Q];for(Q=0;Q<4;++Q)A[4*E+Q]=I[Q];C[E]=v,L[2*E]=H*(U*(tt=J[K[$]])[0]-W*tt[1]+X[0]),L[2*E+1]=H*(W*tt[0]+U*tt[1]+X[1]),E+=1}for(Z=N.edges,J=N.positions,k=0;k<Z.length;++k)for(K=Z[k],$=0;$<2;++$){for(Q=0;Q<3;++Q)S[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)A[4*D+Q]=P[Q];var tt;C[D]=v,L[2*D]=H*(U*(tt=J[K[$]])[0]-W*tt[1]+X[0]),L[2*D+1]=H*(W*tt[0]+U*tt[1]+X[1]),D+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=_,this.lineVertexCount=b,this.pointBuffer.update(S),this.colorBuffer.update(A),this.glyphBuffer.update(L),this.idBuffer.update(C),o.free(S),o.free(A),o.free(L),o.free(C)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":326,\"./lib/glyphs\":327,\"./lib/shaders\":328,\"gl-buffer\":259,\"gl-mat4/multiply\":295,\"gl-vao\":358,\"is-string-blank\":470,\"typedarray-pool\":595}],331:[function(t,e,n){\"use strict\";var r=t(\"glslify\");n.boxVertex=r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),n.boxFragment=r([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:332}],332:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],333:[function(t,e,n){\"use strict\";var r=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,n){this.plot=t,this.boxBuffer=e,this.boxShader=n,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var n=t.gl,s=new o(t,i(n,[0,0,0,1,1,0,1,1]),r(n,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,n=this.borderWidth,r=this.innerColor,i=this.outerColor,a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],f=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],p=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),d=Math.max(d,c[1]),f=Math.min(f,c[2]),p=Math.min(p,c[3]),!(f<h||p<d)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,d,i),o.drawBox(0,d,h,p,i),o.drawBox(0,p,m,g,i),o.drawBox(f,d,m,p,i)),this.innerFill&&o.drawBox(h,d,f,p,r),n>0){var y=n*u;o.drawBox(h-y,d-y,f+y,d+y,a),o.drawBox(h-y,p-y,f+y,p+y,a),o.drawBox(h-y,d-y,h+y,p+y,a),o.drawBox(f-y,d-y,f+y,p+y,a)}}}},s.update=function(t){this.innerFill=!!(t=t||{}).innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":331,\"gl-buffer\":259,\"gl-shader\":335}],334:[function(t,e,n){\"use strict\";e.exports=function(t,e){var n=e[0],a=e[1];return new l(t,r(t,n,a,{}),i.mallocUint8(n*a*4))};var r=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,n,r,i){this.coord=[t,e],this.id=n,this.value=r,this.distance=i}function l(t,e,n){this.gl=t,this.fbo=e,this.buffer=n,this._readTimeout=null;var 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fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":335,glslify:343}],345:[function(t,e,n){\"use strict\";var r=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\");e.exports=function(t,e){var n=[];function o(t,e,r,i,a,o){var s=[t,e,r,0,0,0,1];s[i+3]=1,s[i]=a,n.push.apply(n,s),s[6]=-1,n.push.apply(n,s),s[i]=o,n.push.apply(n,s),n.push.apply(n,s),s[6]=1,n.push.apply(n,s),s[i]=a,n.push.apply(n,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=r(t,n),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var h=new s(t,l,c,u);return h.update(e),h};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,n,r){this.gl=t,this.buffer=e,this.vao=n,this.shader=r,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,n=this.vao,r=this.shader;n.bind(),r.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var d=c,f=u,p=0;p<3;++p)i&&i[p]<0?(d[p]=this.bounds[0][p],f[p]=this.bounds[1][p]):(d[p]=this.bounds[1][p],f[p]=this.bounds[0][p]);for(h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,r.uniforms.model=a,r.uniforms.view=s,r.uniforms.projection=l,r.uniforms.coordinates=[this.position,d,f],r.uniforms.colors=this.colors,r.uniforms.screenShape=h,p=0;p<3;++p)r.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(n.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&n.draw(e.TRIANGLES,12,18+12*p));n.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":344,\"gl-buffer\":259,\"gl-vao\":358}],346:[function(t,e,n){var r=t(\"glslify\"),i=r([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=r([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=r([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);n.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},n.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:347}],347:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],348:[function(t,e,n){\"use strict\";var r=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var n,r=t.length;for(n=0;n<r;n++){var i=t[n];if(i===e)return n;if(i>e)return n-1}return n},s=function(t,e,n){return t<e?e:t>n?n:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var n=t.length,r=1;r<n;r++){var i=Math.abs(t[r]-t[r-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var n=t.startingPositions,c=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,d=t.gridFill||\"+x+y+z\",f={};-1!==d.indexOf(\"-x\")&&(f.reversedX=!0),-1!==d.indexOf(\"-y\")&&(f.reversedY=!0),-1!==d.indexOf(\"-z\")&&(f.reversedZ=!0),f.filled=a.indexOf(d.replace(/-/g,\"\").replace(/\\+/g,\"\"));var p=t.getVelocity||function(e){return function(t,e,n){var i=e.vectors,a=e.meshgrid,l=t[0],c=t[1],u=t[2],h=a[0].length,d=a[1].length,f=a[2].length,p=o(a[0],l),m=o(a[1],c),g=o(a[2],u),y=p+1,v=m+1,_=g+1;if(p=s(p,0,h-1),y=s(y,0,h-1),m=s(m,0,d-1),v=s(v,0,d-1),g=s(g,0,f-1),_=s(_,0,f-1),p<0||m<0||g<0||y>h-1||v>d-1||_>f-1)return r.create();var b,x,w,k,M,T,S=a[0][p],A=a[1][m],L=a[2][g],C=(l-S)/(a[0][y]-S),E=(c-A)/(a[1][v]-A),O=(u-L)/(a[2][_]-L);switch(isFinite(C)||(C=.5),isFinite(E)||(E=.5),isFinite(O)||(O=.5),n.reversedX&&(p=h-1-p,y=h-1-y),n.reversedY&&(m=d-1-m,v=d-1-v),n.reversedZ&&(g=f-1-g,_=f-1-_),n.filled){case 5:M=g,T=_,w=m*f,k=v*f,b=p*f*d,x=y*f*d;break;case 4:M=g,T=_,b=p*f,x=y*f,w=m*f*h,k=v*f*h;break;case 3:w=m,k=v,M=g*d,T=_*d,b=p*d*f,x=y*d*f;break;case 2:w=m,k=v,b=p*d,x=y*d,M=g*d*h,T=_*d*h;break;case 1:b=p,x=y,M=g*h,T=_*h,w=m*h*f,k=v*h*f;break;default:b=p,x=y,w=m*h,k=v*h,M=g*h*d,T=_*h*d}var D=i[b+w+M],I=i[b+w+T],P=i[b+k+M],R=i[b+k+T],z=i[x+w+M],j=i[x+w+T],F=i[x+k+M],N=i[x+k+T],B=r.create(),Y=r.create(),H=r.create(),V=r.create();r.lerp(B,D,z,C),r.lerp(Y,I,j,C),r.lerp(H,P,F,C),r.lerp(V,R,N,C);var U=r.create(),W=r.create();r.lerp(U,B,H,E),r.lerp(W,Y,V,E);var q=r.create();return r.lerp(q,U,W,O),q}(e,t,f)},m=t.getDivergence||function(t,e){var n=r.create(),i=1e-4;r.add(n,t,[i,0,0]);var a=p(n);r.subtract(a,a,e),r.scale(a,a,1/i),r.add(n,t,[0,i,0]);var o=p(n);r.subtract(o,o,e),r.scale(o,o,1/i),r.add(n,t,[0,0,i]);var s=p(n);return r.subtract(s,s,e),r.scale(s,s,1/i),r.add(n,a,o),r.add(n,n,s),n},g=[],y=e[0][0],v=e[0][1],_=e[0][2],b=e[1][0],x=e[1][1],w=e[1][2],k=function(t){var e=t[0],n=t[1],r=t[2];return!(e<y||e>b||n<v||n>x||r<_||r>w)},M=10*r.distance(e[0],e[1])/c,T=M*M,S=1,A=0,L=n.length;L>1&&(S=function(t){for(var e=[],n=[],r=[],i={},a={},o={},s=t.length,c=0;c<s;c++){var u=t[c],h=u[0],d=u[1],f=u[2];i[h]||(e.push(h),i[h]=!0),a[d]||(n.push(d),a[d]=!0),o[f]||(r.push(f),o[f]=!0)}var p=l(e),m=l(n),g=l(r),y=Math.min(p,m,g);return isFinite(y)?y:1}(n));for(var C=0;C<L;C++){var E=r.create();r.copy(E,n[C]);var O=[E],D=[],I=p(E),P=E;D.push(I);var R=[],z=m(E,I),j=r.length(z);isFinite(j)&&j>A&&(A=j),R.push(j),g.push({points:O,velocities:D,divergences:R});for(var F=0;F<100*c&&O.length<c&&k(E);){F++;var N=r.clone(I),B=r.squaredLength(N);if(0===B)break;B>T&&r.scale(N,N,M/Math.sqrt(B)),r.add(N,N,E),I=p(N),r.squaredDistance(P,N)-T>-1e-4*T&&(O.push(N),P=N,D.push(I),z=m(N,I),j=r.length(z),isFinite(j)&&j>A&&(A=j),R.push(j)),E=N}}var Y=function(t,e,n,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,r.length(l[c]));var u=t.map((function(t){return function(t,e,n,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],d=[],f=[],p=[],m=0,g=0,y=i.create(),v=i.create(),_=0;_<o.length;_++){var b=o[_],x=s[_],w=l[_];0===e&&(w=.05*n),g=r.length(x)/a,y=i.create(),r.copy(y,x),y[3]=w;for(var k=0;k<8;k++)f[k]=[b[0],b[1],b[2],k];if(d.length>0)for(k=0;k<8;k++){var M=(k+1)%8;c.push(d[k],f[k],f[M],f[M],d[M],d[k]),h.push(v,y,y,y,v,v),p.push(m,g,g,g,m,m);var T=c.length;u.push([T-6,T-5,T-4],[T-3,T-2,T-1])}var S=d;d=f,f=S;var A=v;v=y,y=A;var L=m;m=g,g=L}return{positions:c,cells:u,vectors:h,vertexIntensity:p}}(t,n,a,o)})),h=[],d=[],f=[],p=[];for(s=0;s<u.length;s++){var m=u[s],g=h.length;for(h=h.concat(m.positions),f=f.concat(m.vectors),p=p.concat(m.vertexIntensity),c=0;c<m.cells.length;c++){var y=m.cells[c],v=[];d.push(v);for(var _=0;_<y.length;_++)v.push(y[_]+g)}}return{positions:h,cells:d,vectors:f,vertexIntensity:p,colormap:e}}(g,t.colormap,A,S);return h?Y.tubeScale=h:(0===A&&(A=1),Y.tubeScale=.5*u*S/A),Y};var c=t(\"./lib/shaders\"),u=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return u(t,e,{shaders:c,traceType:\"streamtube\"})}},{\"./lib/shaders\":346,\"gl-cone3d\":260,\"gl-vec3\":377,\"gl-vec4\":413}],349:[function(t,e,n){var r=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);n.createShader=function(t){var e=r(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},n.createPickShader=function(t){var e=r(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},n.createContourShader=function(t){var e=r(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},n.createPickContourShader=function(t){var e=r(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":335,glslify:350}],350:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],351:[function(t,e,n){\"use strict\";e.exports=function(t){var e=t.gl,n=v(e),r=b(e),s=_(e),l=x(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=i(e),d=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),f=i(e),p=a(e,[{buffer:f,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new S(e,[0,0],[[0,0,0],[0,0,0]],n,r,c,u,m,s,l,h,d,f,p,[0,0,0]),y={levels:[[],[],[]]};for(var w in t)y[w]=t[w];return y.colormap=y.colormap||\"jet\",g.update(y),g};var r=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),d=t(\"surface-nets\"),f=t(\"gl-mat4/multiply\"),p=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),y=t(\"./lib/shaders\"),v=y.createShader,_=y.createContourShader,b=y.createPickShader,x=y.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],M=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function T(t,e,n,r,i){this.position=t,this.index=e,this.uv=n,this.level=r,this.dataCoordinate=i}function S(t,e,n,r,i,a,o,l,c,u,d,f,p,m,g){this.gl=t,this.shape=e,this.bounds=n,this.objectOffset=g,this.intensityBounds=[],this._shader=r,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=d,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new T([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=p,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}!function(){for(var t=0;t<3;++t){var e=M[t],n=(t+2)%3;e[(t+1)%3+0]=1,e[n+3]=1,e[t+6]=1}}();var A=S.prototype;A.genColormap=function(t,e){var n=!1,r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var n=0;n<e.length;++n){if(e.length<2)return 1;if(e[n][0]===t)return e[n][1];if(e[n][0]>t&&n>0){var r=(e[n][0]-t)/(e[n][0]-e[n-1][0]);return e[n][1]*(1-r)+r*e[n-1][1]}}return 1}(r/255,e):t[3];return i<1&&(n=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(r,255),this.hasAlphaScale=n,r},A.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},A.isOpaque=function(){return!this.isTransparent()},A.pickSlots=1,A.setPickBase=function(t){this.pickId=t};var L=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function E(t,e){var n,r,i,a=e.axes&&e.axes.lastCubeProps.axis||L,o=e.showSurface,s=e.showContour;for(n=0;n<3;++n)for(o=o||e.surfaceProject[n],r=0;r<3;++r)s=s||e.contourProject[n][r];for(n=0;n<3;++n){var l=C.projections[n];for(r=0;r<16;++r)l[r]=0;for(r=0;r<4;++r)l[5*r]=1;l[5*n]=0,l[12+n]=e.axesBounds[+(a[n]>0)][n],f(l,t.model,l);var c=C.clipBounds[n];for(i=0;i<2;++i)for(r=0;r<3;++r)c[i][r]=t.clipBounds[i][r];c[0][n]=-1e8,c[1][n]=1e8}return C.showSurface=o,C.showContour=s,C}var O={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=w.slice(),I=[1,0,0,0,1,0,0,0,1];function P(t,e){t=t||{};var n=this.gl;n.disable(n.CULL_FACE),this._colorMap.bind(0);var r=O;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],r.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],r.objectOffset=this.objectOffset,r.contourColor=this.contourColor[0],r.inverseModel=p(r.inverseModel,r.model);for(var i=0;i<2;++i)for(var a=r.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);r.kambient=this.ambientLight,r.kdiffuse=this.diffuseLight,r.kspecular=this.specularLight,r.roughness=this.roughness,r.fresnel=this.fresnel,r.opacity=this.opacity,r.height=0,r.permutation=I,r.vertexColor=this.vertexColor;var s=D;for(f(s,r.view,r.model),f(s,r.projection,s),p(s,s),i=0;i<3;++i)r.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];r.lightPosition[i]=c/l}var u=E(r,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=r,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(n.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(n.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;r.kambient=1,r.kdiffuse=0,r.kspecular=0,r.opacity=1,h.bind(),h.uniforms=r;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(h.uniforms.permutation=M[i],n.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],d.draw(n.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=M[o],n.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(h.uniforms.height=this.contourLevels[o][m],d.draw(n.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(d.unbind(),(d=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=r.model,h.uniforms.clipBounds=r.clipBounds,h.uniforms.permutation=M[i],n.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],d.draw(n.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],d.draw(n.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}A.draw=function(t){return P.call(this,t,!1)},A.drawTransparent=function(t){return P.call(this,t,!0)};var R={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function z(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function j(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function F(t){if(Array.isArray(t)){if(Array.isArray(t))return[j(t[0]),j(t[1]),j(t[2])];var e=j(t);return[e.slice(),e.slice(),e.slice()]}}A.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var n=R;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.shape=this._field[2].shape,n.pickId=this.pickId/255,n.lowerBound=this.bounds[0],n.upperBound=this.bounds[1],n.objectOffset=this.objectOffset,n.permutation=I;for(var r=0;r<2;++r)for(var i=n.clipBounds[r],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[r][a],-1e8),1e8);var o=E(n,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=n,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),r=0;r<3;++r)this.surfaceProject[r]&&(this._pickShader.uniforms.model=o.projections[r],this._pickShader.uniforms.clipBounds=o.clipBounds[r],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=n;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=M[a],r=0;r<this.contourLevels[a].length;++r)this._contourCounts[a][r]&&(s.uniforms.height=this.contourLevels[a][r],l.draw(e.LINES,this._contourCounts[a][r],this._contourOffsets[a][r]));for(r=0;r<3;++r)for(s.uniforms.model=o.projections[r],s.uniforms.clipBounds=o.clipBounds[r],a=0;a<3;++a)if(this.contourProject[r][a]){s.uniforms.permutation=M[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},A.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,n=this._pickResult,r=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(r),a=r-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=n.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,d=0;d<2;++d)for(var f=i+u,p=s+d,g=h*(d?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(f,p)*g;for(var v=this._pickResult.level,_=0;_<3;++_)if(v[_]=m.le(this.contourLevels[_],c[_]),v[_]<0)this.contourLevels[_].length>0&&(v[_]=0);else if(v[_]<this.contourLevels[_].length-1){var b=this.contourLevels[_][v[_]+1];Math.abs(this.contourLevels[_][v[_]]-c[_])>Math.abs(b-c[_])&&(v[_]+=1)}for(n.index[0]=a<.5?i:i+1,n.index[1]=l<.5?s:s+1,n.uv[0]=r/e[0],n.uv[1]=o/e[1],y=0;y<3;++y)n.dataCoordinate[y]=this._field[y].get(n.index[0],n.index[1]);return n},A.padField=function(t,e){var n=e.shape.slice(),r=t.shape.slice();c.assign(t.lo(1,1).hi(n[0],n[1]),e),c.assign(t.lo(1).hi(n[0],1),e.hi(n[0],1)),c.assign(t.lo(1,r[1]-1).hi(n[0],1),e.lo(0,n[1]-1).hi(n[0],1)),c.assign(t.lo(0,1).hi(1,n[1]),e.hi(1)),c.assign(t.lo(r[0]-1,1).hi(1,n[1]),e.lo(n[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,r[1]-1,e.get(0,n[1]-1)),t.set(r[0]-1,0,e.get(n[0]-1,0)),t.set(r[0]-1,r[1]-1,e.get(n[0]-1,n[1]-1))},A.update=function(t){this.objectOffset=(t=t||{}).objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=z(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=z(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=z(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=F(t.contourColor)),\"contourProject\"in t&&(this.contourProject=z(t.contourProject,(function(t){return z(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=F(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=z(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=z(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,n=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(r.nextPow2(i))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var f=u[o];if((Array.isArray(f)||f.length)&&(f=h(f)),f.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var p=h(f.data,a);p.stride[o]=f.stride[0],p.stride[1^o]=0,this.padField(this._field[o],p)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var v=this._field,_=h(s.mallocFloat(3*v[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(_.pick(o),v[o],\"mirror\");var b=h(s.mallocFloat(3*v[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var x=_.get(0,o,y,0),w=_.get(0,o,y,1),M=_.get(1,o,y,0),T=_.get(1,o,y,1),S=_.get(2,o,y,0),A=_.get(2,o,y,1),L=M*A-T*S,C=S*w-A*x,E=x*T-w*M,O=Math.sqrt(L*L+C*C+E*E);O<1e-8?(O=Math.max(Math.abs(L),Math.abs(C),Math.abs(E)))<1e-8?(E=1,C=L=0,O=1):O=1/O:O=1/Math.sqrt(O),b.set(o,y,0,L*O),b.set(o,y,1,C*O),b.set(o,y,2,E*O)}s.free(_.data);var D=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],P=1/0,R=-1/0,j=s.mallocFloat(r.nextPow2((a[0]-1)*(a[1]-1)*6*10)),N=0,B=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var Y=0;Y<2;++Y)for(var H=0;H<2;++H)for(var V=0;V<3;++V){var U=this._field[V].get(1+o+Y,1+y+H);if(isNaN(U)||!isFinite(U))continue t}for(V=0;V<6;++V){var W=o+k[V][0],q=y+k[V][1],G=this._field[0].get(W+1,q+1),X=this._field[1].get(W+1,q+1);U=this._field[2].get(W+1,q+1),L=b.get(W+1,q+1,0),C=b.get(W+1,q+1,1),E=b.get(W+1,q+1,2),t.intensity&&(Z=t.intensity.get(W,q));var Z=t.intensity?t.intensity.get(W,q):U+this.objectOffset[2];j[N++]=W,j[N++]=q,j[N++]=G,j[N++]=X,j[N++]=U,j[N++]=0,j[N++]=Z,j[N++]=L,j[N++]=C,j[N++]=E,D[0]=Math.min(D[0],G+this.objectOffset[0]),D[1]=Math.min(D[1],X+this.objectOffset[1]),D[2]=Math.min(D[2],U+this.objectOffset[2]),P=Math.min(P,Z),I[0]=Math.max(I[0],G+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],U+this.objectOffset[2]),R=Math.max(R,Z),B+=1}}for(t.intensityBounds&&(P=+t.intensityBounds[0],R=+t.intensityBounds[1]),o=6;o<N;o+=10)j[o]=(j[o]-P)/(R-P);this._vertexCount=B,this._coordinateBuffer.update(j.subarray(0,N)),s.freeFloat(j),s.free(b.data),this.bounds=[D,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===P&&this.intensityBounds[1]===R||(n=!0),this.intensityBounds=[P,R]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){n=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){n=!0;break t}}this.contourLevels=J}if(n){v=this._field,a=this.shape;for(var K=[],$=0;$<3;++$){var Q=this.contourLevels[$],tt=[],et=[],nt=[0,0,0];for(o=0;o<Q.length;++o){var rt=d(this._field[$],Q[o]);tt.push(K.length/5|0),B=0;t:for(y=0;y<rt.cells.length;++y){var it=rt.cells[y];for(V=0;V<2;++V){var at=rt.positions[it[V]],ot=at[0],st=0|Math.floor(ot),lt=ot-st,ct=at[1],ut=0|Math.floor(ct),ht=ct-ut,dt=!1;e:for(var ft=0;ft<3;++ft){nt[ft]=0;var pt=($+ft+1)%3;for(Y=0;Y<2;++Y){var mt=Y?lt:1-lt;for(W=0|Math.min(Math.max(st+Y,0),a[0]),H=0;H<2;++H){var gt=H?ht:1-ht;if(q=0|Math.min(Math.max(ut+H,0),a[1]),U=ft<2?this._field[pt].get(W,q):(this.intensity.get(W,q)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(U)||isNaN(U)){dt=!0;break e}nt[ft]+=mt*gt*U}}}if(dt){if(V>0){for(var yt=0;yt<5;++yt)K.pop();B-=1}continue t}K.push(nt[0],nt[1],at[0],at[1],nt[2]),B+=1}}et.push(B)}this._contourOffsets[$]=tt,this._contourCounts[$]=et}var vt=s.mallocFloat(K.length);for(o=0;o<K.length;++o)vt[o]=K[o];this._contourBuffer.update(vt),s.freeFloat(vt)}},A.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},A.highlight=function(t){var e,n;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.highlightLevel[e]=this.enableHighlight[e]?t.level[e]:-1;for(n=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)n[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&n[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&n[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&n[2]!==this.dynamicLevel[2]){for(var r=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=n[o];var l=this._field[(o+1)%3],c=this._field[(o+2)%3],u=d(this._field[o],n[o]),h=u.cells,f=u.positions;for(this._dynamicOffsets[o]=r,e=0;e<h.length;++e)for(var p=h[e],m=0;m<2;++m){var g=f[p[m]],y=+g[0],v=0|y,_=0|Math.min(v+1,i[0]),b=y-v,x=1-b,w=+g[1],k=0|w,M=0|Math.min(k+1,i[1]),T=w-k,S=1-T,A=x*S,L=x*T,C=b*S,E=b*T,O=A*l.get(v,k)+L*l.get(v,M)+C*l.get(_,k)+E*l.get(_,M),D=A*c.get(v,k)+L*c.get(v,M)+C*c.get(_,k)+E*c.get(_,M);if(isNaN(O)||isNaN(D)){m&&(r-=1);break}a[2*r+0]=O,a[2*r+1]=D,r+=1}this._dynamicCounts[o]=r-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*r)),s.freeFloat(a)}}},{\"./lib/shaders\":349,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495,\"ndarray-gradient\":488,\"ndarray-ops\":490,\"ndarray-pack\":491,\"surface-nets\":570,\"typedarray-pool\":595}],352:[function(t,e,n){\"use strict\";var r=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),d=t(\"is-plain-obj\"),f=t(\"parse-unit\"),p=t(\"to-px\"),m=t(\"detect-kerning\"),g=t(\"object-assign\"),y=t(\"font-measure\"),v=t(\"flatten-vertex-data\"),_=t(\"bit-twiddle\").nextPow2,b=new s,x=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(x=!0),document.body.removeChild(w)}var k=function(t){this.gl=function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?(t={regl:t}).regl._gl:o(t),this.shader=b.get(this.gl),this.regl=this.shader?this.shader.regl:t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(d(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(k.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(k.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(this.opacity=Array.isArray(t.opacity)?t.opacity.map((function(t){return parseFloat(t)})):parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=v(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+\"px sans-serif\");var n,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,n){if(\"string\"==typeof t)try{t=r.parse(t)}catch(h){t=r.parse(k.baseFontSize+\"px \"+t)}else t=r.parse(r.stringify(t));var i=r.stringify({size:k.baseFontSize,family:t.family,stretch:x?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=f(t.size),l=Math.round(s[0]*p(s[1]));if(l!==e.fontSize[n]&&(o=!0,e.fontSize[n]=l),!(e.font[n]&&i==e.font[n].baseString||(a=!0,e.font[n]=k.fonts[i],e.font[n]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),x&&t.weight!=t.stretch&&u.push(t.stretch),e.font[n]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(c,{origin:\"top\",fontSize:k.baseFontSize,fontStyle:u.join(\" \")})},k.fonts[i]=e.font[n]}})),(a||o)&&this.font.forEach((function(n,i){var a=r.stringify({size:e.fontSize[i],family:n.family,stretch:x?n.stretch:void 0,variant:n.variant,weight:n.weight,style:n.style});e.fontAtlas[i]=e.shader.atlas[a],e.fontAtlas[i]||(e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*n.metrics.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}),null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),d=0;d<s.length;d++)s[d]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];n=[],this.font.forEach((function(t,r){k.atlasContext.font=t.baseString;for(var i=e.fontAtlas[r],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),n.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,M=u.mallocFloat(2*this.count),T=0,S=0;T<this.counts.length;T++){var A=this.counts[T];if(w)for(var L=0;L<A;L++)M[S++]=t.position[2*T],M[S++]=t.position[2*T+1];else for(var C=0;C<A;C++)M[S++]=t.position[T][0],M[S++]=t.position[T][1]}this.position.call?this.position({type:\"float\",data:M}):this.position=this.regl.buffer({type:\"float\",data:M}),u.freeFloat(M)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var E=u.mallocUint8(this.count),O=u.mallocFloat(2*this.count);this.textWidth=[];for(var D=0,I=0;D<this.counts.length;D++){for(var P=this.counts[D],R=this.font[D]||this.font[0],z=this.fontAtlas[D]||this.fontAtlas[0],j=0;j<P;j++){var F=this.text.charAt(I),N=this.text.charAt(I-1);if(E[I]=z.ids[F],O[2*I]=R.width[F],j){var B=O[2*I-1]+.5*O[2*I-2]+.5*O[2*I];if(this.kerning){var Y=R.kerning[N+F];Y&&(B+=.001*Y)}O[2*I+1]=B}else O[2*I+1]=.5*O[2*I];I++}this.textWidth.push(O.length?.5*O[2*I-2]+O[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:E,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:O,type:\"float\",usage:\"stream\"}),u.freeUint8(E),u.freeFloat(O),n.length&&this.font.forEach((function(t,n){var r=e.fontAtlas[n],i=r.step,a=Math.floor(k.maxAtlasSize/i),o=Math.min(a,r.chars.length),s=Math.ceil(r.chars.length/o),l=_(o*i),u=_(s*i);r.width=l,r.height=u,r.rows=s,r.cols=o,r.em&&r.texture({data:c({canvas:k.atlasCanvas,font:r.fontString,chars:r.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,n){var r=Array.isArray(e.align)?e.align.length>1?e.align[n]:e.align[0]:e.align;if(\"number\"==typeof r)return r;switch(r){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,n){var r=(e.font[n]||e.font[0]).metrics,i=0;return i+=.5*r.bottom,i+=\"number\"==typeof t?t-r.baseline:-r[t],k.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var V=t.color.length;H=u.mallocUint8(V);for(var U=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<V;W+=4)H.set(l(U(W,W+4),\"uint8\"),W)}else{var q=t.color.length;H=u.mallocUint8(4*q);for(var G=0;G<q;G++)H.set(l(t.color[G]||0,\"uint8\"),4*G)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var X=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(X);for(var Z=0;Z<this.batch.length;Z++)this.batch[Z]={count:this.counts.length>1?this.counts[Z]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Z]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*Z,4*Z+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Z]:this.opacity,baseline:null!=this.baselineOffset[Z]?this.baselineOffset[Z]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[Z]?this.alignOffset[Z]:this.alignOffset[0]:0,atlas:this.fontAtlas[Z]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*Z,2*Z+2):this.positionOffset}}else this.batch=this.count?[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text=\"\",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement(\"canvas\"),k.atlasContext=k.atlasCanvas.getContext(\"2d\",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":354,\"is-plain-obj\":469,\"object-assign\":499,\"parse-rect\":504,\"parse-unit\":506,\"pick-by-alias\":511,regl:540,\"to-px\":578,\"typedarray-pool\":595}],353:[function(t,e,n){\"use strict\";var r=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||c(t),\"number\"==typeof arguments[1])return y(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return y(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],n=u(e)?e:e.raw;if(n)return v(t,n,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return _(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){i.muls(t,e,255)};function d(t,e,n){var r=t.gl,i=r.getParameter(r.MAX_TEXTURE_SIZE);if(e<0||e>i||n<0||n>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,n],t.bind(),r.texImage2D(r.TEXTURE_2D,0,t.format,e,n,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,n,r,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[n,r],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function y(t,e,n,r,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||n<0||n>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,r,e,n,0,r,i,null),new f(t,o,e,n,r,i)}function v(t,e,n,r,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,n,r,i,a)}function _(t,e){var n=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===n?c=t.FLOAT:\"float64\"===n?(c=t.FLOAT,l=!1,n=\"float32\"):\"uint8\"===n?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,n=\"uint8\");var u,d,p=0;if(2===o.length)p=t.LUMINANCE,e=r(e.data,o=[o[0],o[1],1],[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])p=t.ALPHA;else if(2===o[2])p=t.LUMINANCE_ALPHA;else if(3===o[2])p=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");p=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)u=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var v=[o[2],o[2]*o[0],1];d=a.malloc(y,n);var 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y=p[g];if(y.boundary&&!(y.lastVisited>=n)){var v=y.vertices;if(y.lastVisited!==-n){for(var _=0,b=0;b<=r;++b)v[b]<0?(_=b,l[b]=t):l[b]=i[v[b]];if(this.orient()>0){v[_]=n,y.boundary=!1,c.push(y),h.push(y),y.lastVisited=n;continue}y.lastVisited=-n}var x=y.adjacent,w=f.slice(),k=p.slice(),M=new a(w,k,!0);u.push(M);var T=x.indexOf(e);if(!(T<0))for(x[T]=M,k[m]=y,w[g]=-1,k[g]=e,p[g]=M,M.flip(),b=0;b<=r;++b){var S=w[b];if(!(S<0||S===n)){for(var A=new Array(r-1),L=0,C=0;C<=r;++C){var E=w[C];E<0||C===b||(A[L++]=E)}d.push(new o(A,M,b))}}}}}for(d.sort(s),g=0;g+1<d.length;g+=2){var O=d[g],D=d[g+1];O.index<0||D.index<0||(O.cell.adjacent[O.index]=D.cell,D.cell.adjacent[D.index]=O.cell)}},u.insert=function(t,e){var n=this.vertices;n.push(t);var r=this.walk(t,e);if(r){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=r.vertices[o];a[o]=s<0?t:n[s]}var l=this.orient(a);l<0||(0!==l||(r=this.handleBoundaryDegeneracy(r,t)))&&this.addPeaks(t,r)}},u.boundary=function(){for(var t=this.dimension,e=[],n=this.simplices,r=n.length,i=0;i<r;++i){var a=n[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":548,\"simplicial-complex\":558}],460:[function(t,e,n){\"use strict\";var r=t(\"binary-search-bounds\");function i(t,e,n,r,i){this.mid=t,this.left=e,this.right=n,this.leftPoints=r,this.rightPoints=i,this.count=(e?e.count:0)+(n?n.count:0)+r.length}e.exports=function(t){return new y(t&&0!==t.length?g(t):null)};var a=i.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var n=g(e);t.mid=n.mid,t.left=n.left,t.right=n.right,t.leftPoints=n.leftPoints,t.rightPoints=n.rightPoints,t.count=n.count}function l(t,e){var n=t.intervals([]);n.push(e),s(t,n)}function c(t,e){var n=t.intervals([]),r=n.indexOf(e);return 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n=0;n<t.length;++n)e[t[n]]=n;return e}},{}],463:[function(t,e,n){\"use strict\";e.exports=function(t){for(var e=new Array(t),n=0;n<t;++n)e[n]=n;return e}},{}],464:[function(t,e,n){e.exports=!0},{}],465:[function(t,e,n){function r(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}e.exports=function(t){return null!=t&&(r(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&r(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],466:[function(t,e,n){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],467:[function(t,e,n){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var r=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( 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n={transparent:[0,0,0,0],aliceblue:[240,248,255,1],antiquewhite:[250,235,215,1],aqua:[0,255,255,1],aquamarine:[127,255,212,1],azure:[240,255,255,1],beige:[245,245,220,1],bisque:[255,228,196,1],black:[0,0,0,1],blanchedalmond:[255,235,205,1],blue:[0,0,255,1],blueviolet:[138,43,226,1],brown:[165,42,42,1],burlywood:[222,184,135,1],cadetblue:[95,158,160,1],chartreuse:[127,255,0,1],chocolate:[210,105,30,1],coral:[255,127,80,1],cornflowerblue:[100,149,237,1],cornsilk:[255,248,220,1],crimson:[220,20,60,1],cyan:[0,255,255,1],darkblue:[0,0,139,1],darkcyan:[0,139,139,1],darkgoldenrod:[184,134,11,1],darkgray:[169,169,169,1],darkgreen:[0,100,0,1],darkgrey:[169,169,169,1],darkkhaki:[189,183,107,1],darkmagenta:[139,0,139,1],darkolivegreen:[85,107,47,1],darkorange:[255,140,0,1],darkorchid:[153,50,204,1],darkred:[139,0,0,1],darksalmon:[233,150,122,1],darkseagreen:[143,188,143,1],darkslateblue:[72,61,139,1],darkslategray:[47,79,79,1],darkslategrey:[47,79,79,1],darkturquoise:[0,206,209,1],darkviolet:[148,0,211,1],deeppink:[255,20,147,1],deepskyblue:[0,191,255,1],dimgray:[105,105,105,1],dimgrey:[105,105,105,1],dodgerblue:[30,144,255,1],firebrick:[178,34,34,1],floralwhite:[255,250,240,1],forestgreen:[34,139,34,1],fuchsia:[255,0,255,1],gainsboro:[220,220,220,1],ghostwhite:[248,248,255,1],gold:[255,215,0,1],goldenrod:[218,165,32,1],gray:[128,128,128,1],green:[0,128,0,1],greenyellow:[173,255,47,1],grey:[128,128,128,1],honeydew:[240,255,240,1],hotpink:[255,105,180,1],indianred:[205,92,92,1],indigo:[75,0,130,1],ivory:[255,255,240,1],khaki:[240,230,140,1],lavender:[230,230,250,1],lavenderblush:[255,240,245,1],lawngreen:[124,252,0,1],lemonchiffon:[255,250,205,1],lightblue:[173,216,230,1],lightcoral:[240,128,128,1],lightcyan:[224,255,255,1],lightgoldenrodyellow:[250,250,210,1],lightgray:[211,211,211,1],lightgreen:[144,238,144,1],lightgrey:[211,211,211,1],lightpink:[255,182,193,1],lightsalmon:[255,160,122,1],lightseagreen:[32,178,170,1],lightskyblue:[135,206,250,1],lightslategray:[119,136,153,1],lightslategrey:[119,136,153,1],lightsteelblue:[176,196,222,1],lightyellow:[255,255,224,1],lime:[0,255,0,1],limegreen:[50,205,50,1],linen:[250,240,230,1],magenta:[255,0,255,1],maroon:[128,0,0,1],mediumaquamarine:[102,205,170,1],mediumblue:[0,0,205,1],mediumorchid:[186,85,211,1],mediumpurple:[147,112,219,1],mediumseagreen:[60,179,113,1],mediumslateblue:[123,104,238,1],mediumspringgreen:[0,250,154,1],mediumturquoise:[72,209,204,1],mediumvioletred:[199,21,133,1],midnightblue:[25,25,112,1],mintcream:[245,255,250,1],mistyrose:[255,228,225,1],moccasin:[255,228,181,1],navajowhite:[255,222,173,1],navy:[0,0,128,1],oldlace:[253,245,230,1],olive:[128,128,0,1],olivedrab:[107,142,35,1],orange:[255,165,0,1],orangered:[255,69,0,1],orchid:[218,112,214,1],palegoldenrod:[238,232,170,1],palegreen:[152,251,152,1],paleturquoise:[175,238,238,1],palevioletred:[219,112,147,1],papayawhip:[255,239,213,1],peachpuff:[255,218,185,1],peru:[205,133,63,1],pink:[255,192,203,1],plum:[221,160,221,1],powderblue:[176,224,230,1],purple:[128,0,128,1],rebeccapurple:[102,51,153,1],red:[255,0,0,1],rosybrown:[188,143,143,1],royalblue:[65,105,225,1],saddlebrown:[139,69,19,1],salmon:[250,128,114,1],sandybrown:[244,164,96,1],seagreen:[46,139,87,1],seashell:[255,245,238,1],sienna:[160,82,45,1],silver:[192,192,192,1],skyblue:[135,206,235,1],slateblue:[106,90,205,1],slategray:[112,128,144,1],slategrey:[112,128,144,1],snow:[255,250,250,1],springgreen:[0,255,127,1],steelblue:[70,130,180,1],tan:[210,180,140,1],teal:[0,128,128,1],thistle:[216,191,216,1],tomato:[255,99,71,1],turquoise:[64,224,208,1],violet:[238,130,238,1],wheat:[245,222,179,1],white:[255,255,255,1],whitesmoke:[245,245,245,1],yellow:[255,255,0,1],yellowgreen:[154,205,50,1]};function r(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return r(\"%\"===t[t.length-1]?parseFloat(t)/100*255:parseInt(t))}function a(t){return(e=\"%\"===t[t.length-1]?parseFloat(t)/100:parseFloat(t))<0?0:e>1?1:e;var e}function o(t,e,n){return n<0?n+=1:n>1&&(n-=1),6*n<1?t+(e-t)*n*6:2*n<1?e:3*n<2?t+(e-t)*(2/3-n)*6:t}try{e.parseCSSColor=function(t){var e,s=t.replace(/ /g,\"\").toLowerCase();if(s in n)return n[s].slice();if(\"#\"===s[0])return 4===s.length?(e=parseInt(s.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===s.length&&(e=parseInt(s.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=s.indexOf(\"(\"),c=s.indexOf(\")\");if(-1!==l&&c+1===s.length){var u=s.substr(0,l),h=s.substr(l+1,c-(l+1)).split(\",\"),d=1;switch(u){case\"rgba\":if(4!==h.length)return null;d=a(h.pop());case\"rgb\":return 3!==h.length?null:[i(h[0]),i(h[1]),i(h[2]),d];case\"hsla\":if(4!==h.length)return 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$t=function(t,e,n){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=n,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};$t.prototype.compare=function(t,e){return this.collator.compare(t,e)},$t.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var Qt=function(t,e,n,r,i){this.text=t,this.image=e,this.scale=n,this.fontStack=r,this.textColor=i},te=function(t){this.sections=t};te.fromString=function(t){return new te([new Qt(t,null,null,null,null)])},te.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},te.factory=function(t){return t instanceof te?t:te.fromString(t)},te.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},te.prototype.serialize=function(){for(var t=[\"format\"],e=0,n=this.sections;e<n.length;e+=1){var r=n[e];if(r.image)t.push([\"image\",r.image.name]);else{t.push(r.text);var i={};r.fontStack&&(i[\"text-font\"]=[\"literal\",r.fontStack.split(\",\")]),r.scale&&(i[\"font-scale\"]=r.scale),r.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(r.textColor.toArray())),t.push(i)}}return t};var ee=function(t){this.name=t.name,this.available=t.available};function ne(t,e,n,r){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof n&&n>=0&&n<=255?void 0===r||\"number\"==typeof r&&r>=0&&r<=1?null:\"Invalid rgba value [\"+[t,e,n,r].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof r?[t,e,n,r]:[t,e,n]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function re(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof Kt)return!0;if(t instanceof $t)return!0;if(t instanceof te)return!0;if(t instanceof ee)return!0;if(Array.isArray(t)){for(var e=0,n=t;e<n.length;e+=1)if(!re(n[e]))return!1;return!0}if(\"object\"==typeof t){for(var r in t)if(!re(t[r]))return!1;return!0}return!1}function ie(t){if(null===t)return Pt;if(\"string\"==typeof t)return zt;if(\"boolean\"==typeof t)return jt;if(\"number\"==typeof t)return Rt;if(t instanceof Kt)return Ft;if(t instanceof $t)return Yt;if(t instanceof te)return Ht;if(t instanceof ee)return Vt;if(Array.isArray(t)){for(var e,n=t.length,r=0,i=t;r<i.length;r+=1){var a=ie(i[r]);if(e){if(e===a)continue;e=Bt;break}e=a}return Ut(e||Bt,n)}return Nt}function ae(t){var e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Kt||t instanceof te||t instanceof ee?t.toString():JSON.stringify(t)}ee.prototype.toString=function(){return this.name},ee.fromString=function(t){return t?new ee({name:t,available:!1}):null},ee.prototype.serialize=function(){return[\"image\",this.name]};var oe=function(t,e){this.type=t,this.value=e};oe.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!re(t[1]))return e.error(\"invalid value\");var n=t[1],r=ie(n),i=e.expectedType;return\"array\"!==r.kind||0!==r.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(r=i),new oe(r,n)},oe.prototype.evaluate=function(){return this.value},oe.prototype.eachChild=function(){},oe.prototype.outputDefined=function(){return!0},oe.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof Kt?[\"rgba\"].concat(this.value.toArray()):this.value instanceof te?this.value.serialize():this.value};var se=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};se.prototype.toJSON=function(){return this.message};var le={string:zt,number:Rt,boolean:jt,object:Nt},ce=function(t,e){this.type=t,this.args=e};ce.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var n,r=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in le)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=le[s],r++}else a=Bt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],r++}n=Ut(a,o)}else n=le[i];for(var l=[];r<t.length;r++){var c=e.parse(t[r],r,Bt);if(!c)return null;l.push(c)}return new ce(n,l)},ce.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var n=this.args[e].evaluate(t);if(!Gt(this.type,ie(n)))return n;if(e===this.args.length-1)throw new se(\"Expected value to be of type \"+Wt(this.type)+\", but found \"+Wt(ie(n))+\" instead.\")}return null},ce.prototype.eachChild=function(t){this.args.forEach(t)},ce.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ce.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var n=t.itemType;if(\"string\"===n.kind||\"number\"===n.kind||\"boolean\"===n.kind){e.push(n.kind);var r=t.N;(\"number\"==typeof r||this.args.length>1)&&e.push(r)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var ue=function(t){this.type=Ht,this.sections=t};ue.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var n=t[1];if(!Array.isArray(n)&&\"object\"==typeof n)return e.error(\"First argument must be an image or text section.\");for(var r=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Rt)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,Ut(zt))))return null;var c=null;if(o[\"text-color\"]&&!(c=e.parse(o[\"text-color\"],1,Ft)))return null;var u=r[r.length-1];u.scale=s,u.font=l,u.textColor=c}else{var h=e.parse(t[a],1,Bt);if(!h)return null;var d=h.type.kind;if(\"string\"!==d&&\"value\"!==d&&\"null\"!==d&&\"resolvedImage\"!==d)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,r.push({content:h,scale:null,font:null,textColor:null})}}return new ue(r)},ue.prototype.evaluate=function(t){return new te(this.sections.map((function(e){var n=e.content.evaluate(t);return ie(n)===Vt?new Qt(\"\",n,null,null,null):new Qt(ae(n),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},ue.prototype.eachChild=function(t){for(var e=0,n=this.sections;e<n.length;e+=1){var r=n[e];t(r.content),r.scale&&t(r.scale),r.font&&t(r.font),r.textColor&&t(r.textColor)}},ue.prototype.outputDefined=function(){return!1},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,n=this.sections;e<n.length;e+=1){var r=n[e];t.push(r.content.serialize());var i={};r.scale&&(i[\"font-scale\"]=r.scale.serialize()),r.font&&(i[\"text-font\"]=r.font.serialize()),r.textColor&&(i[\"text-color\"]=r.textColor.serialize()),t.push(i)}return t};var he=function(t){this.type=Vt,this.input=t};he.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var n=e.parse(t[1],1,zt);return n?new he(n):e.error(\"No image name provided.\")},he.prototype.evaluate=function(t){var e=this.input.evaluate(t),n=ee.fromString(e);return n&&t.availableImages&&(n.available=t.availableImages.indexOf(e)>-1),n},he.prototype.eachChild=function(t){t(this.input)},he.prototype.outputDefined=function(){return!1},he.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var de={\"to-boolean\":jt,\"to-color\":Ft,\"to-number\":Rt,\"to-string\":zt},fe=function(t,e){this.type=t,this.args=e};fe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var n=t[0];if((\"to-boolean\"===n||\"to-string\"===n)&&2!==t.length)return e.error(\"Expected one argument.\");for(var r=de[n],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,Bt);if(!o)return null;i.push(o)}return new fe(r,i)},fe.prototype.evaluate=function(t){if(\"boolean\"===this.type.kind)return Boolean(this.args[0].evaluate(t));if(\"color\"===this.type.kind){for(var e,n,r=0,i=this.args;r<i.length;r+=1){if(n=null,(e=i[r].evaluate(t))instanceof Kt)return e;if(\"string\"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(n=e.length<3||e.length>4?\"Invalid rbga value \"+JSON.stringify(e)+\": expected an array containing either three or four numeric values.\":ne(e[0],e[1],e[2],e[3])))return new Kt(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new se(n||\"Could not parse color from value '\"+(\"string\"==typeof e?e:String(JSON.stringify(e)))+\"'\")}if(\"number\"===this.type.kind){for(var o=null,s=0,l=this.args;s<l.length;s+=1){if(null===(o=l[s].evaluate(t)))return 0;var c=Number(o);if(!isNaN(c))return c}throw new se(\"Could not convert \"+JSON.stringify(o)+\" to number.\")}return\"formatted\"===this.type.kind?te.fromString(ae(this.args[0].evaluate(t))):\"resolvedImage\"===this.type.kind?ee.fromString(ae(this.args[0].evaluate(t))):ae(this.args[0].evaluate(t))},fe.prototype.eachChild=function(t){this.args.forEach(t)},fe.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},fe.prototype.serialize=function(){if(\"formatted\"===this.type.kind)return new ue([{content:this.args[0],scale:null,font:null,textColor:null}]).serialize();if(\"resolvedImage\"===this.type.kind)return new he(this.args[0]).serialize();var t=[\"to-\"+this.type.kind];return this.eachChild((function(e){t.push(e.serialize())})),t};var pe=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],me=function(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null};me.prototype.id=function(){return this.feature&&\"id\"in this.feature?this.feature.id:null},me.prototype.geometryType=function(){return this.feature?\"number\"==typeof this.feature.type?pe[this.feature.type]:this.feature.type:null},me.prototype.geometry=function(){return this.feature&&\"geometry\"in this.feature?this.feature.geometry:null},me.prototype.canonicalID=function(){return this.canonical},me.prototype.properties=function(){return this.feature&&this.feature.properties||{}},me.prototype.parseColor=function(t){var e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=Kt.parse(t)),e};var ge=function(t,e,n,r){this.name=t,this.type=e,this._evaluate=n,this.args=r};ge.prototype.evaluate=function(t){return 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a=Ne(e,r),o=nn.interpolationFactor(this.interpolation,r,e[a],e[a+1]),s=n[a].evaluate(t),l=n[a+1].evaluate(t);return\"interpolate\"===this.operator?He[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tn.reverse(tn.interpolate(tn.forward(s),tn.forward(l),o)):Qe.reverse(Qe.interpolate(Qe.forward(s),Qe.forward(l),o))},nn.prototype.eachChild=function(t){t(this.input);for(var e=0,n=this.outputs;e<n.length;e+=1)t(n[e])},nn.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},nn.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],n=0;n<this.labels.length;n++)e.push(this.labels[n],this.outputs[n].serialize());return e};var 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on=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};on.prototype.evaluate=function(t){return this.result.evaluate(t)},on.prototype.eachChild=function(t){for(var e=0,n=this.bindings;e<n.length;e+=1)t(n[e][1]);t(this.result)},on.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var n=[],r=1;r<t.length-1;r+=2){var i=t[r];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",r);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",r);var a=e.parse(t[r+1],r+1);if(!a)return null;n.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,n);return o?new on(n,o):null},on.prototype.outputDefined=function(){return this.result.outputDefined()},on.prototype.serialize=function(){for(var t=[\"let\"],e=0,n=this.bindings;e<n.length;e+=1){var r=n[e];t.push(r[0],r[1].serialize())}return t.push(this.result.serialize()),t};var sn=function(t,e,n){this.type=t,this.index=e,this.input=n};sn.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var n=e.parse(t[1],1,Rt),r=e.parse(t[2],2,Ut(e.expectedType||Bt));return n&&r?new sn(r.type.itemType,n,r):null},sn.prototype.evaluate=function(t){var e=this.index.evaluate(t),n=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=n.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(n.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return n[e]},sn.prototype.eachChild=function(t){t(this.index),t(this.input)},sn.prototype.outputDefined=function(){return!1},sn.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var ln=function(t,e){this.type=jt,this.needle=t,this.haystack=e};ln.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var n=e.parse(t[1],1,Bt),r=e.parse(t[2],2,Bt);return n&&r?Xt(n.type,[jt,zt,Rt,Pt,Bt])?new ln(n,r):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Wt(n.type)+\" instead\"):null},ln.prototype.evaluate=function(t){var e=this.needle.evaluate(t),n=this.haystack.evaluate(t);if(!n)return!1;if(!Zt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Wt(ie(e))+\" instead.\");if(!Zt(n,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Wt(ie(n))+\" instead.\");return n.indexOf(e)>=0},ln.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},ln.prototype.outputDefined=function(){return!0},ln.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var cn=function(t,e,n){this.type=Rt,this.needle=t,this.haystack=e,this.fromIndex=n};cn.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var n=e.parse(t[1],1,Bt),r=e.parse(t[2],2,Bt);if(!n||!r)return null;if(!Xt(n.type,[jt,zt,Rt,Pt,Bt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Wt(n.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Rt);return i?new cn(n,r,i):null}return new cn(n,r)},cn.prototype.evaluate=function(t){var e=this.needle.evaluate(t),n=this.haystack.evaluate(t);if(!Zt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Wt(ie(e))+\" instead.\");if(!Zt(n,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Wt(ie(n))+\" instead.\");if(this.fromIndex){var r=this.fromIndex.evaluate(t);return n.indexOf(e,r)}return n.indexOf(e)},cn.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},cn.prototype.outputDefined=function(){return!1},cn.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var un=function(t,e,n,r,i,a){this.inputType=t,this.type=e,this.input=n,this.cases=r,this.outputs=i,this.otherwise=a};un.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var n,r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var d=h[u];if(\"number\"!=typeof d&&\"string\"!=typeof d)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof d&&Math.abs(d)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof d&&Math.floor(d)!==d)return c.error(\"Numeric branch labels must be integer values.\");if(n){if(c.checkSubtype(n,ie(d)))return null}else n=ie(d);if(void 0!==i[String(d)])return c.error(\"Branch labels must be unique.\");i[String(d)]=a.length}var f=e.parse(l,o,r);if(!f)return null;r=r||f.type,a.push(f)}var p=e.parse(t[1],1,Bt);if(!p)return null;var m=e.parse(t[t.length-1],t.length-1,r);return m?\"value\"!==p.type.kind&&e.concat(1).checkSubtype(n,p.type)?null:new un(n,r,p,i,a,m):null},un.prototype.evaluate=function(t){var 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dn=function(t,e,n,r){this.type=t,this.input=e,this.beginIndex=n,this.endIndex=r};function fn(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pn(t,e,n,r){return 0===r.compare(e,n)}function mn(t,e,n){var r=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,n){this.type=jt,this.lhs=t,this.rhs=e,this.collator=n,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var n=t[0],a=e.parse(t[1],1,Bt);if(!a)return null;if(!fn(n,a.type))return e.concat(1).error('\"'+n+\"\\\" comparisons are not supported for type '\"+Wt(a.type)+\"'.\");var o=e.parse(t[2],2,Bt);if(!o)return null;if(!fn(n,o.type))return e.concat(2).error('\"'+n+\"\\\" comparisons are not supported for type 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0===t.value.property,l=!s,c=\"array\"===Pn(t.value.stops)&&\"array\"===Pn(t.value.stops[0])&&\"object\"===Pn(t.value.stops[0][0]),u=Zn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new At(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],n=t.value;return e=e.concat(Jn({key:t.key,value:n,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===Pn(n)&&0===n.length&&e.push(new At(t.key,n,\"array must have at least one stop\")),e},default:function(t){return br({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new At(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new At(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!In(t.valueSpec)&&u.push(new 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0,o={}),e=e.concat(Zn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Kn,value:d}}))}else e=e.concat(d({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Vn(Ot(a[1]))?e.concat([new At(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(br({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function d(t,r){var s=Pn(t.value),l=Et(t.value),c=null!==t.value?t.value:r;if(e){if(s!==e)return[new At(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new At(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return On(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new At(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==n&&l<n?[new At(t.key,c,\"stop domain values must appear in ascending order\")]:(n=l,\"categorical\"===a&&l in o?[new At(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new At(t.key,c,\"integer expected, found \"+l)]}}function Qn(t){var e=(\"property\"===t.expressionContext?Gn:Un)(Ot(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new At(\"\"+t.key+e.key,t.value,e.message)}));var n=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!n.outputDefined())return[new At(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Re(n))return[new At(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Re(n))return[new At(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!ze(n,[\"zoom\",\"feature-state\"]))return[new At(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Pe(n))return[new At(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function tr(t){var e=t.key,n=t.value,r=t.valueSpec,i=[];return Array.isArray(r.values)?-1===r.values.indexOf(Et(n))&&i.push(new At(e,n,\"expected one of [\"+r.values.join(\", \")+\"], 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nr={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rr(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};er(t)||(t=ar(t));var e=Un(t,nr);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,n,r){return e.value.evaluate(t,n,{},r)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var n=1;n<e.length;n++)if(t(e[n]))return!0;return!1}(t)}}function ir(t,e){return t<e?-1:t>e?1:0}function ar(t){if(!t)return!0;var e,n=t[0];return t.length<=1?\"any\"!==n:\"==\"===n?or(t[1],t[2],\"==\"):\"!=\"===n?cr(or(t[1],t[2],\"==\")):\"<\"===n||\">\"===n||\"<=\"===n||\">=\"===n?or(t[1],t[2],n):\"any\"===n?(e=t.slice(1),[\"any\"].concat(e.map(ar))):\"all\"===n?[\"all\"].concat(t.slice(1).map(ar)):\"none\"===n?[\"all\"].concat(t.slice(1).map(ar).map(cr)):\"in\"===n?sr(t[1],t.slice(2)):\"!in\"===n?cr(sr(t[1],t.slice(2))):\"has\"===n?lr(t[1]):\"!has\"===n?cr(lr(t[1])):\"within\"!==n||t}function or(t,e,n){switch(t){case\"$type\":return[\"filter-type-\"+n,e];case\"$id\":return[\"filter-id-\"+n,e];default:return[\"filter-\"+n,t,e]}}function sr(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ir)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function lr(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cr(t){return[\"!\",t]}function ur(t){return er(Ot(t.value))?Qn(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var n=e.value,r=e.key;if(\"array\"!==Pn(n))return[new At(r,n,\"array expected, \"+Pn(n)+\" found\")];var i,a=e.styleSpec,o=[];if(n.length<1)return[new At(r,n,\"filter array must have at least 1 element\")];switch(o=o.concat(tr({key:r+\"[0]\",value:n[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Et(n[0])){case\"<\":case\"<=\":case\">\":case\">=\":n.length>=2&&\"$type\"===Et(n[1])&&o.push(new At(r,n,'\"$type\" cannot be use with operator \"'+n[0]+'\"'));case\"==\":case\"!=\":3!==n.length&&o.push(new At(r,n,'filter array for operator \"'+n[0]+'\" must have 3 elements'));case\"in\":case\"!in\":n.length>=2&&\"string\"!==(i=Pn(n[1]))&&o.push(new At(r+\"[1]\",n[1],\"string expected, \"+i+\" found\"));for(var s=2;s<n.length;s++)i=Pn(n[s]),\"$type\"===Et(n[1])?o=o.concat(tr({key:r+\"[\"+s+\"]\",value:n[s],valueSpec:a.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==i&&\"number\"!==i&&\"boolean\"!==i&&o.push(new At(r+\"[\"+s+\"]\",n[s],\"string, number, or boolean expected, \"+i+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<n.length;l++)o=o.concat(t({key:r+\"[\"+l+\"]\",value:n[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":i=Pn(n[1]),2!==n.length?o.push(new At(r,n,'filter array for \"'+n[0]+'\" operator must have 2 elements')):\"string\"!==i&&o.push(new At(r+\"[1]\",n[1],\"string expected, \"+i+\" found\"));break;case\"within\":i=Pn(n[1]),2!==n.length?o.push(new At(r,n,'filter array for \"'+n[0]+'\" operator must have 2 elements')):\"object\"!==i&&o.push(new At(r+\"[1]\",n[1],\"object expected, \"+i+\" found\"))}return o}(t)}function hr(t,e){var n=t.key,r=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return br({key:n,value:a,valueSpec:i.transition,style:r,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new At(n,a,'unknown property \"'+o+'\"')];if(\"string\"===Pn(a)&&On(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new At(n,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&r&&!r.glyphs&&h.push(new At(n,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Rn(Ot(a))&&\"identity\"===Et(a.type)&&h.push(new At(n,a,'\"text-font\" does not support identity functions'))),h.concat(br({key:t.key,value:a,valueSpec:u,style:r,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function dr(t){return hr(t,\"paint\")}function fr(t){return hr(t,\"layout\")}function pr(t){var e=[],n=t.value,r=t.key,i=t.style,a=t.styleSpec;n.type||n.ref||e.push(new At(r,n,'either \"type\" or \"ref\" is required'));var o,s=Et(n.type),l=Et(n.ref);if(n.id)for(var c=Et(n.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Et(h.id)===c&&e.push(new At(r,n.id,'duplicate layer id \"'+n.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in n)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in n&&e.push(new At(r,n[t],'\"'+t+'\" is prohibited for ref layers'))})),i.layers.forEach((function(t){Et(t.id)===l&&(o=t)})),o?o.ref?e.push(new At(r,n.ref,\"ref cannot reference another ref layer\")):s=Et(o.type):e.push(new At(r,n.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(n.source){var d=i.sources&&i.sources[n.source],f=d&&Et(d.type);d?\"vector\"===f&&\"raster\"===s?e.push(new At(r,n.source,'layer \"'+n.id+'\" requires a raster source')):\"raster\"===f&&\"raster\"!==s?e.push(new At(r,n.source,'layer \"'+n.id+'\" requires a vector source')):\"vector\"!==f||n[\"source-layer\"]?\"raster-dem\"===f&&\"hillshade\"!==s?e.push(new At(r,n.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!n.paint||!n.paint[\"line-gradient\"]||\"geojson\"===f&&d.lineMetrics||e.push(new At(r,n,'layer \"'+n.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new At(r,n,'layer \"'+n.id+'\" must specify a \"source-layer\"')):e.push(new At(r,n.source,'source \"'+n.source+'\" not found'))}else e.push(new At(r,n,'missing required property \"source\"'));return e=e.concat(Zn({key:r,value:n,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return br({key:r+\".type\",value:n.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:n,objectKey:\"type\"})},filter:ur,layout:function(t){return Zn({layer:n,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fr(Ct({layerType:s},t))}}})},paint:function(t){return Zn({layer:n,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return dr(Ct({layerType:s},t))}}})}}}))}function mr(t){var e=t.value,n=t.key,r=Pn(e);return\"string\"!==r?[new At(n,e,\"string expected, \"+r+\" found\")]:[]}var gr={promoteId:function(t){var e=t.key,n=t.value;if(\"string\"===Pn(n))return mr({key:e,value:n});var r=[];for(var i in n)r.push.apply(r,mr({key:e+\".\"+i,value:n[i]}));return r}};function yr(t){var e=t.value,n=t.key,r=t.styleSpec,i=t.style;if(!e.type)return[new At(n,e,'\"type\" is required')];var a,o=Et(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zn({key:n,value:e,valueSpec:r[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:r,objectElementValidators:gr});case\"geojson\":if(a=Zn({key:n,value:e,valueSpec:r.source_geojson,style:i,styleSpec:r,objectElementValidators:gr}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,Qn({key:n+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),a.push.apply(a,Qn({key:n+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return Zn({key:n,value:e,valueSpec:r.source_video,style:i,styleSpec:r});case\"image\":return Zn({key:n,value:e,valueSpec:r.source_image,style:i,styleSpec:r});case\"canvas\":return[new At(n,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return tr({key:n+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:r})}}function vr(t){var e=t.value,n=t.styleSpec,r=n.light,i=t.style,a=[],o=Pn(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new At(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=a.concat(l&&r[l[1]]&&r[l[1]].transition?br({key:s,value:e[s],valueSpec:n.transition,style:i,styleSpec:n}):r[s]?br({key:s,value:e[s],valueSpec:r[s],style:i,styleSpec:n}):[new At(s,e[s],'unknown property \"'+s+'\"')])}return a}var _r={\"*\":function(){return[]},array:Jn,boolean:function(t){var e=t.value,n=t.key,r=Pn(e);return\"boolean\"!==r?[new At(n,e,\"boolean expected, \"+r+\" found\")]:[]},number:Kn,color:function(t){var e=t.key,n=t.value,r=Pn(n);return\"string\"!==r?[new At(e,n,\"color expected, \"+r+\" 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n=n.concat(br({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:xr,\"*\":function(){return[]}}})),t.constants&&(n=n.concat(Lt({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),kr(n)}function kr(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function Mr(t){return function(){for(var e=[],n=arguments.length;n--;)e[n]=arguments[n];return kr(t.apply(this,e))}}wr.source=Mr(yr),wr.light=Mr(vr),wr.layer=Mr(pr),wr.filter=Mr(ur),wr.paintProperty=Mr(dr),wr.layoutProperty=Mr(fr);var Tr=wr,Sr=Tr.light,Ar=Tr.paintProperty,Lr=Tr.layoutProperty;function Cr(t,e){var n=!1;if(e&&e.length)for(var r=0,i=e;r<i.length;r+=1)t.fire(new Mt(new Error(i[r].message))),n=!0;return n}var Er=Or;function Or(t,e,n){var r=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],this.d=(e=i[1])+2*(n=i[2]);for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];r.push(o===s?null:i.subarray(o,s))}var l=i[3+r.length+1];this.keys=i.subarray(i[3+r.length],l),this.bboxes=i.subarray(l),this.insert=this._insertReadonly}else{this.d=e+2*n;for(var c=0;c<this.d*this.d;c++)r.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=n,this.scale=e/t,this.uid=0;var u=n/e*t;this.min=-u,this.max=t+u}Or.prototype.insert=function(t,e,n,r,i){this._forEachCell(e,n,r,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(n),this.bboxes.push(r),this.bboxes.push(i)},Or.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Or.prototype._insertCell=function(t,e,n,r,i,a){this.cells[i].push(a)},Or.prototype.query=function(t,e,n,r,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=n&&o<=r&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,n,r,this._queryCell,s,{},i),s},Or.prototype._queryCell=function(t,e,n,r,i,a,o,s){var l=this.cells[i];if(null!==l)for(var c=this.keys,u=this.bboxes,h=0;h<l.length;h++){var d=l[h];if(void 0===o[d]){var f=4*d;(s?s(u[f+0],u[f+1],u[f+2],u[f+3]):t<=u[f+2]&&e<=u[f+3]&&n>=u[f+0]&&r>=u[f+1])?(o[d]=!0,a.push(c[d])):o[d]=!1}}},Or.prototype._forEachCell=function(t,e,n,r,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(n),h=this._convertToCellCoord(r),d=l;d<=u;d++)for(var f=c;f<=h;f++){var p=this.d*f+d;if((!s||s(this._convertFromCellCoord(d),this._convertFromCellCoord(f),this._convertFromCellCoord(d+1),this._convertFromCellCoord(f+1)))&&i.call(this,t,e,n,r,p,a,o,s))return}},Or.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Or.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Or.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,n=0,r=0;r<this.cells.length;r++)n+=this.cells[r].length;var i=new Int32Array(e+n+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),i[3+t.length+1]=a+=this.keys.length,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Dr=self.ImageData,Ir=self.ImageBitmap,Pr={};function Rr(t,e,n){void 0===n&&(n={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),Pr[t]={klass:e,omit:n.omit||[],shallow:n.shallow||[]}}for(var zr in Rr(\"Object\",Object),Er.serialize=function(t,e){var n=t.toArrayBuffer();return e&&e.push(n),{buffer:n}},Er.deserialize=function(t){return new Er(t.buffer)},Rr(\"Grid\",Er),Rr(\"Color\",Kt),Rr(\"Error\",Error),Rr(\"ResolvedImage\",ee),Rr(\"StylePropertyFunction\",Xn),Rr(\"StyleExpression\",Hn,{omit:[\"_evaluator\"]}),Rr(\"ZoomDependentExpression\",qn),Rr(\"ZoomConstantExpression\",Wn),Rr(\"CompoundExpression\",ge,{omit:[\"_evaluate\"]}),Mn)Mn[zr]._classRegistryKey||Rr(\"Expression_\"+zr,Mn[zr]);function jr(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function Fr(t){return Ir&&t instanceof Ir}function Nr(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(jr(t)||Fr(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var n=t;return e&&e.push(n.buffer),n}if(t instanceof Dr)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var r=[],i=0,a=t;i<a.length;i+=1)r.push(Nr(a[i],e));return r}if(\"object\"==typeof t){var o=t.constructor,s=o._classRegistryKey;if(!s)throw new Error(\"can't serialize object of unregistered class\");var l=o.serialize?o.serialize(t,e):{};if(!o.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(Pr[s].omit.indexOf(c)>=0)){var u=t[c];l[c]=Pr[s].shallow.indexOf(c)>=0?u:Nr(u,e)}t instanceof Error&&(l.message=t.message)}if(l.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==s&&(l.$name=s),l}throw new Error(\"can't serialize object of type \"+typeof t)}function Br(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||jr(t)||Fr(t)||ArrayBuffer.isView(t)||t instanceof Dr)return t;if(Array.isArray(t))return t.map(Br);if(\"object\"==typeof t){var e=t.$name||\"Object\",n=Pr[e].klass;if(!n)throw new Error(\"can't deserialize unregistered class \"+e);if(n.deserialize)return n.deserialize(t);for(var r=Object.create(n.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if(\"$name\"!==o){var s=t[o];r[o]=Pr[e].shallow.indexOf(o)>=0?s:Br(s)}}return r}throw new Error(\"can't deserialize object of type \"+typeof t)}var Yr=function(){this.first=!0};Yr.prototype.update=function(t,e){var n=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=n,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=n,!0):(this.lastFloorZoom>n?(this.lastIntegerZoom=n+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<n&&(this.lastIntegerZoom=n,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=n,!0))};var Hr={\"Latin-1 Supplement\":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},\"Arabic Supplement\":function(t){return t>=1872&&t<=1919},\"Arabic Extended-A\":function(t){return t>=2208&&t<=2303},\"Hangul Jamo\":function(t){return t>=4352&&t<=4607},\"Unified Canadian Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description Characters\":function(t){return t>=12272&&t<=12287},\"CJK Symbols and Punctuation\":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},\"Hangul Compatibility Jamo\":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},\"Bopomofo Extended\":function(t){return t>=12704&&t<=12735},\"CJK Strokes\":function(t){return t>=12736&&t<=12783},\"Katakana Phonetic Extensions\":function(t){return t>=12784&&t<=12799},\"Enclosed CJK Letters and Months\":function(t){return t>=12800&&t<=13055},\"CJK Compatibility\":function(t){return t>=13056&&t<=13311},\"CJK Unified Ideographs Extension A\":function(t){return t>=13312&&t<=19903},\"Yijing Hexagram Symbols\":function(t){return t>=19904&&t<=19967},\"CJK Unified Ideographs\":function(t){return t>=19968&&t<=40959},\"Yi Syllables\":function(t){return t>=40960&&t<=42127},\"Yi Radicals\":function(t){return t>=42128&&t<=42191},\"Hangul Jamo Extended-A\":function(t){return t>=43360&&t<=43391},\"Hangul Syllables\":function(t){return t>=44032&&t<=55215},\"Hangul Jamo Extended-B\":function(t){return t>=55216&&t<=55295},\"Private Use Area\":function(t){return t>=57344&&t<=63743},\"CJK Compatibility Ideographs\":function(t){return t>=63744&&t<=64255},\"Arabic Presentation Forms-A\":function(t){return t>=64336&&t<=65023},\"Vertical Forms\":function(t){return t>=65040&&t<=65055},\"CJK Compatibility Forms\":function(t){return t>=65072&&t<=65103},\"Small Form Variants\":function(t){return t>=65104&&t<=65135},\"Arabic Presentation Forms-B\":function(t){return t>=65136&&t<=65279},\"Halfwidth and Fullwidth Forms\":function(t){return t>=65280&&t<=65519}};function Vr(t){for(var e=0,n=t;e<n.length;e+=1)if(Ur(n[e].charCodeAt(0)))return!0;return!1}function Ur(t){return!(746!==t&&747!==t&&(t<4352||!(Hr[\"Bopomofo Extended\"](t)||Hr.Bopomofo(t)||Hr[\"CJK Compatibility Forms\"](t)&&!(t>=65097&&t<=65103)||Hr[\"CJK Compatibility Ideographs\"](t)||Hr[\"CJK Compatibility\"](t)||Hr[\"CJK Radicals Supplement\"](t)||Hr[\"CJK Strokes\"](t)||!(!Hr[\"CJK Symbols and Punctuation\"](t)||t>=12296&&t<=12305||t>=12308&&t<=12319||12336===t)||Hr[\"CJK Unified Ideographs Extension A\"](t)||Hr[\"CJK Unified Ideographs\"](t)||Hr[\"Enclosed CJK Letters and Months\"](t)||Hr[\"Hangul Compatibility Jamo\"](t)||Hr[\"Hangul Jamo Extended-A\"](t)||Hr[\"Hangul Jamo Extended-B\"](t)||Hr[\"Hangul Jamo\"](t)||Hr[\"Hangul Syllables\"](t)||Hr.Hiragana(t)||Hr[\"Ideographic Description Characters\"](t)||Hr.Kanbun(t)||Hr[\"Kangxi Radicals\"](t)||Hr[\"Katakana Phonetic Extensions\"](t)||Hr.Katakana(t)&&12540!==t||!(!Hr[\"Halfwidth and Fullwidth Forms\"](t)||65288===t||65289===t||65293===t||t>=65306&&t<=65310||65339===t||65341===t||65343===t||t>=65371&&t<=65503||65507===t||t>=65512&&t<=65519)||!(!Hr[\"Small Form Variants\"](t)||t>=65112&&t<=65118||t>=65123&&t<=65126)||Hr[\"Unified Canadian Aboriginal Syllabics\"](t)||Hr[\"Unified Canadian Aboriginal Syllabics Extended\"](t)||Hr[\"Vertical Forms\"](t)||Hr[\"Yijing Hexagram Symbols\"](t)||Hr[\"Yi Syllables\"](t)||Hr[\"Yi Radicals\"](t))))}function Wr(t){return!(Ur(t)||function(t){return!!(Hr[\"Latin-1 Supplement\"](t)&&(167===t||169===t||174===t||177===t||188===t||189===t||190===t||215===t||247===t)||Hr[\"General Punctuation\"](t)&&(8214===t||8224===t||8225===t||8240===t||8241===t||8251===t||8252===t||8258===t||8263===t||8264===t||8265===t||8273===t)||Hr[\"Letterlike Symbols\"](t)||Hr[\"Number Forms\"](t)||Hr[\"Miscellaneous Technical\"](t)&&(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215)||Hr[\"Control Pictures\"](t)&&9251!==t||Hr[\"Optical Character Recognition\"](t)||Hr[\"Enclosed Alphanumerics\"](t)||Hr[\"Geometric Shapes\"](t)||Hr[\"Miscellaneous Symbols\"](t)&&!(t>=9754&&t<=9759)||Hr[\"Miscellaneous Symbols and Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||Hr[\"CJK Symbols and Punctuation\"](t)||Hr.Katakana(t)||Hr[\"Private Use Area\"](t)||Hr[\"CJK Compatibility Forms\"](t)||Hr[\"Small Form Variants\"](t)||Hr[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function qr(t){return t>=1424&&t<=2303||Hr[\"Arabic Presentation Forms-A\"](t)||Hr[\"Arabic Presentation Forms-B\"](t)}function Gr(t,e){return!(!e&&qr(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||Hr.Khmer(t))}function Xr(t){for(var e=0,n=t;e<n.length;e+=1)if(qr(n[e].charCodeAt(0)))return!0;return!1}var Zr=null,Jr=\"unavailable\",Kr=null,$r=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Jr=\"error\"),Zr&&Zr(t)};function Qr(){ti.fire(new kt(\"pluginStateChange\",{pluginStatus:Jr,pluginURL:Kr}))}var ti=new Tt,ei=function(){return Jr},ni=function(){if(\"deferred\"!==Jr||!Kr)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Jr=\"loading\",Qr(),Kr&&vt({url:Kr},(function(t){t?$r(t):(Jr=\"loaded\",Qr())}))},ri={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return\"loaded\"===Jr||null!=ri.applyArabicShaping},isLoading:function(){return\"loading\"===Jr},setState:function(t){Jr=t.pluginStatus,Kr=t.pluginURL},isParsed:function(){return null!=ri.applyArabicShaping&&null!=ri.processBidirectionalText&&null!=ri.processStyledBidirectionalText},getPluginURL:function(){return Kr}},ii=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Yr,this.transition={})};ii.prototype.isSupportedScript=function(t){return function(t,e){for(var n=0,r=t;n<r.length;n+=1)if(!Gr(r[n].charCodeAt(0),e))return!1;return!0}(t,ri.isLoaded())},ii.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},ii.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),n=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*n}:{fromScale:.5,toScale:1,t:1-(1-n)*e}};var ai=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Rn(t))return new Xn(t,e);if(Vn(t)){var n=Gn(t,e);if(\"error\"===n.result)throw new Error(n.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return n.value}var r=t;return\"string\"==typeof t&&\"color\"===e.type&&(r=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return r}}}(void 0===e?t.specification.default:e,t.specification)};ai.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ai.prototype.possiblyEvaluate=function(t,e,n){return this.property.possiblyEvaluate(this,t,e,n)};var oi=function(t){this.property=t,this.value=new ai(t,void 0)};oi.prototype.transitioned=function(t,e){return new li(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oi.prototype.untransitioned=function(){return new li(this.property,this.value,null,{},0)};var si=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};si.prototype.getValue=function(t){return _(this._values[t].value.value)},si.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].value=new ai(this._values[t].property,null===e?void 0:_(e))},si.prototype.getTransition=function(t){return _(this._values[t].transition)},si.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].transition=_(e)||void 0},si.prototype.serialize=function(){for(var t={},e=0,n=Object.keys(this._values);e<n.length;e+=1){var r=n[e],i=this.getValue(r);void 0!==i&&(t[r]=i);var a=this.getTransition(r);void 0!==a&&(t[r+\"-transition\"]=a)}return t},si.prototype.transitioned=function(t,e){for(var n=new ci(this._properties),r=0,i=Object.keys(this._values);r<i.length;r+=1){var a=i[r];n._values[a]=this._values[a].transitioned(t,e._values[a])}return n},si.prototype.untransitioned=function(){for(var t=new ci(this._properties),e=0,n=Object.keys(this._values);e<n.length;e+=1){var r=n[e];t._values[r]=this._values[r].untransitioned()}return t};var li=function(t,e,n,r,i){this.property=t,this.value=e,this.begin=i+r.delay||0,this.end=this.begin+r.duration||0,t.specification.transition&&(r.delay||r.duration)&&(this.prior=n)};li.prototype.possiblyEvaluate=function(t,e,n){var r=t.now||0,i=this.value.possiblyEvaluate(t,e,n),a=this.prior;if(a){if(r>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(r<this.begin)return a.possiblyEvaluate(t,e,n);var o=(r-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,n),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,n=e*t;return 4*(t<.5?n:3*(t-e)+n-.75)}(o))}return i};var ci=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ci.prototype.possiblyEvaluate=function(t,e,n){for(var r=new di(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];r._values[o]=this._values[o].possiblyEvaluate(t,e,n)}return r},ci.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ui=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ui.prototype.getValue=function(t){return _(this._values[t].value)},ui.prototype.setValue=function(t,e){this._values[t]=new ai(this._values[t].property,null===e?void 0:_(e))},ui.prototype.serialize=function(){for(var t={},e=0,n=Object.keys(this._values);e<n.length;e+=1){var r=n[e],i=this.getValue(r);void 0!==i&&(t[r]=i)}return t},ui.prototype.possiblyEvaluate=function(t,e,n){for(var r=new di(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];r._values[o]=this._values[o].possiblyEvaluate(t,e,n)}return r};var hi=function(t,e,n){this.property=t,this.value=e,this.parameters=n};hi.prototype.isConstant=function(){return\"constant\"===this.value.kind},hi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},hi.prototype.evaluate=function(t,e,n,r){return this.property.evaluate(this.value,this.parameters,t,e,n,r)};var di=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};di.prototype.get=function(t){return this._values[t]};var fi=function(t){this.specification=t};fi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},fi.prototype.interpolate=function(t,e,n){var r=He[this.specification.type];return r?r(t,e,n):t};var pi=function(t,e){this.specification=t,this.overrides=e};pi.prototype.possiblyEvaluate=function(t,e,n,r){return new hi(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},n,r)}:t.expression,e)},pi.prototype.interpolate=function(t,e,n){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new hi(this,{kind:\"constant\",value:void 0},t.parameters);var r=He[this.specification.type];return r?new hi(this,{kind:\"constant\",value:r(t.value.value,e.value.value,n)},t.parameters):t},pi.prototype.evaluate=function(t,e,n,r,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,n,r,i,a)};var mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,n,r){if(void 0===t.value)return new hi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},n,r),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new hi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new hi(this,{kind:\"constant\",value:s},e)}return new hi(this,t.expression,e)},e.prototype.evaluate=function(t,e,n,r,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,n,r,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},n,r),t.evaluate({zoom:Math.floor(e.zoom)},n,r),t.evaluate({zoom:Math.floor(e.zoom)+1},n,r),e):t.value},e.prototype._calculate=function(t,e,n,r){return r.zoom>r.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:n,to:e}},e.prototype.interpolate=function(t){return t},e}(pi),gi=function(t){this.specification=t};gi.prototype.possiblyEvaluate=function(t,e,n,r){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},n,r);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new ii(Math.floor(e.zoom-1),e)),t.expression.evaluate(new ii(Math.floor(e.zoom),e)),t.expression.evaluate(new ii(Math.floor(e.zoom+1),e)),e)}},gi.prototype._calculate=function(t,e,n,r){return r.zoom>r.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:n,to:e}},gi.prototype.interpolate=function(t){return t};var yi=function(t){this.specification=t};yi.prototype.possiblyEvaluate=function(t,e,n,r){return!!t.expression.evaluate(e,null,{},n,r)},yi.prototype.interpolate=function(){return!1};var vi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var n=t[e];n.specification.overridable&&this.overridableProperties.push(e);var r=this.defaultPropertyValues[e]=new ai(n,void 0),i=this.defaultTransitionablePropertyValues[e]=new oi(n);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=r.possiblyEvaluate({})}};Rr(\"DataDrivenProperty\",pi),Rr(\"DataConstantProperty\",fi),Rr(\"CrossFadedDataDrivenProperty\",mi),Rr(\"CrossFadedProperty\",gi),Rr(\"ColorRampProperty\",yi);var _i=function(t){function e(e,n){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),n.layout&&(this._unevaluatedLayout=new ui(n.layout)),n.paint)){for(var r in this._transitionablePaint=new si(n.paint),e.paint)this.setPaintProperty(r,e.paint[r],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new di(n.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,n){void 0===n&&(n={}),null!=e&&this._validate(Lr,\"layers.\"+this.id+\".layout.\"+t,t,e,n)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,n){if(void 0===n&&(n={}),null!=e&&this._validate(Ar,\"layers.\"+this.id+\".paint.\"+t,t,e,n))return!1;if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var r=this._transitionablePaint._values[t],i=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],a=r.value.isDataDriven(),o=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||a||i||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,n){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),v(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,n,r,i){return void 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i=bi[t.type].BYTES_PER_ELEMENT,a=n=Mi(n,Math.max(e,i)),o=t.components||1;return r=Math.max(r,i),n+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:Mi(n,Math.max(r,e)),alignment:e}}function Mi(t,e){return Math.ceil(t/e)*e}wi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wi.prototype.clear=function(){this.length=0},wi.prototype.resize=function(t){this.reserve(t),this.length=t},wi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var n=this.length;return this.resize(n+1),this.emplace(n,t,e)},e.prototype.emplace=function(t,e,n){var r=2*t;return this.int16[r+0]=e,this.int16[r+1]=n,t},e}(wi);Ti.prototype.bytesPerElement=4,Rr(\"StructArrayLayout2i4\",Ti);var Si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,n,r)},e.prototype.emplace=function(t,e,n,r,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=n,this.int16[a+2]=r,this.int16[a+3]=i,t},e}(wi);Si.prototype.bytesPerElement=8,Rr(\"StructArrayLayout4i8\",Si);var Ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,n,r,i,a)},e.prototype.emplace=function(t,e,n,r,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=n,this.int16[s+2]=r,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(wi);Ai.prototype.bytesPerElement=12,Rr(\"StructArrayLayout2i4i12\",Ai);var Li=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,n,r,i,a)},e.prototype.emplace=function(t,e,n,r,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=n,this.uint8[l+4]=r,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(wi);Li.prototype.bytesPerElement=8,Rr(\"StructArrayLayout2i4ub8\",Li);var Ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,n,r,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,n,r,i,a,o,s,l,c,u){var h=9*t,d=18*t;return this.uint16[h+0]=e,this.uint16[h+1]=n,this.uint16[h+2]=r,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint8[d+16]=c,this.uint8[d+17]=u,t},e}(wi);Ci.prototype.bytesPerElement=18,Rr(\"StructArrayLayout8ui2ub18\",Ci);var Ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i,a,o,s,l,c,u,h){var d=this.length;return this.resize(d+1),this.emplace(d,t,e,n,r,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,n,r,i,a,o,s,l,c,u,h,d){var f=12*t;return this.int16[f+0]=e,this.int16[f+1]=n,this.int16[f+2]=r,this.int16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.int16[f+8]=c,this.int16[f+9]=u,this.int16[f+10]=h,this.int16[f+11]=d,t},e}(wi);Ei.prototype.bytesPerElement=24,Rr(\"StructArrayLayout4i4ui4i24\",Ei);var Oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n){var r=this.length;return this.resize(r+1),this.emplace(r,t,e,n)},e.prototype.emplace=function(t,e,n,r){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=n,this.float32[i+2]=r,t},e}(wi);Oi.prototype.bytesPerElement=12,Rr(\"StructArrayLayout3f12\",Oi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint32[1*t+0]=e,t},e}(wi);Di.prototype.bytesPerElement=4,Rr(\"StructArrayLayout1ul4\",Di);var Ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,n,r,i,a,o,s,l)},e.prototype.emplace=function(t,e,n,r,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=n,this.int16[u+2]=r,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(wi);Ii.prototype.bytesPerElement=20,Rr(\"StructArrayLayout6i1ul2ui20\",Ii);var Pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,n,r,i,a)},e.prototype.emplace=function(t,e,n,r,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=n,this.int16[s+2]=r,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(wi);Pi.prototype.bytesPerElement=12,Rr(\"StructArrayLayout2i2i2i12\",Pi);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,n,r,i)},e.prototype.emplace=function(t,e,n,r,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=n,this.float32[o+2]=r,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(wi);Ri.prototype.bytesPerElement=16,Rr(\"StructArrayLayout2f1f2i16\",Ri);var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,n,r)},e.prototype.emplace=function(t,e,n,r,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=n,this.float32[o+1]=r,this.float32[o+2]=i,t},e}(wi);zi.prototype.bytesPerElement=12,Rr(\"StructArrayLayout2ub2f12\",zi);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n){var r=this.length;return this.resize(r+1),this.emplace(r,t,e,n)},e.prototype.emplace=function(t,e,n,r){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=n,this.uint16[i+2]=r,t},e}(wi);ji.prototype.bytesPerElement=6,Rr(\"StructArrayLayout3ui6\",ji);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m,g)},e.prototype.emplace=function(t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m,g,y){var v=24*t,_=12*t,b=48*t;return this.int16[v+0]=e,this.int16[v+1]=n,this.uint16[v+2]=r,this.uint16[v+3]=i,this.uint32[_+2]=a,this.uint32[_+3]=o,this.uint32[_+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[_+7]=h,this.float32[_+8]=d,this.uint8[b+36]=f,this.uint8[b+37]=p,this.uint8[b+38]=m,this.uint32[_+10]=g,this.int16[v+22]=y,t},e}(wi);Fi.prototype.bytesPerElement=48,Rr(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Fi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m,g,y,v,_,b,x,w,k,M,T,S,A){var L=this.length;return this.resize(L+1),this.emplace(L,t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m,g,y,v,_,b,x,w,k,M,T,S,A)},e.prototype.emplace=function(t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m,g,y,v,_,b,x,w,k,M,T,S,A,L){var C=34*t,E=17*t;return this.int16[C+0]=e,this.int16[C+1]=n,this.int16[C+2]=r,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=d,this.uint16[C+12]=f,this.uint16[C+13]=p,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=_,this.uint16[C+19]=b,this.uint16[C+20]=x,this.uint16[C+21]=w,this.uint16[C+22]=k,this.uint32[E+12]=M,this.float32[E+13]=T,this.float32[E+14]=S,this.float32[E+15]=A,this.float32[E+16]=L,t},e}(wi);Ni.prototype.bytesPerElement=68,Rr(\"StructArrayLayout8i15ui1ul4f68\",Ni);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wi);Bi.prototype.bytesPerElement=4,Rr(\"StructArrayLayout1f4\",Bi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n){var r=this.length;return this.resize(r+1),this.emplace(r,t,e,n)},e.prototype.emplace=function(t,e,n,r){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=n,this.int16[i+2]=r,t},e}(wi);Yi.prototype.bytesPerElement=6,Rr(\"StructArrayLayout3i6\",Yi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,n){var r=this.length;return this.resize(r+1),this.emplace(r,t,e,n)},e.prototype.emplace=function(t,e,n,r){var i=4*t;return this.uint32[2*t+0]=e,this.uint16[i+2]=n,this.uint16[i+3]=r,t},e}(wi);Hi.prototype.bytesPerElement=8,Rr(\"StructArrayLayout1ul2ui8\",Hi);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var n=this.length;return this.resize(n+1),this.emplace(n,t,e)},e.prototype.emplace=function(t,e,n){var r=2*t;return this.uint16[r+0]=e,this.uint16[r+1]=n,t},e}(wi);Vi.prototype.bytesPerElement=4,Rr(\"StructArrayLayout2ui4\",Vi);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint16[1*t+0]=e,t},e}(wi);Ui.prototype.bytesPerElement=2,Rr(\"StructArrayLayout1ui2\",Ui);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new 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Ta=function(t,e,n){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=n};Ta.prototype.setUniform=function(t,e,n){t.set(n.constantOr(this.value))},Ta.prototype.getBinding=function(t,e,n){return\"color\"===this.type?new xa(t,e):new ya(t,e)};var Sa=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Sa.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Sa.prototype.setUniform=function(t,e,n,r){var i=\"u_pattern_to\"===r?this.patternTo:\"u_pattern_from\"===r?this.patternFrom:\"u_pixel_ratio_to\"===r?this.pixelRatioTo:\"u_pixel_ratio_from\"===r?this.pixelRatioFrom:null;i&&t.set(i)},Sa.prototype.getBinding=function(t,e,n){return\"u_pattern\"===n.substr(0,9)?new ba(t,e):new ya(t,e)};var Aa=function(t,e,n,r){this.expression=t,this.type=n,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===n?2:1,offset:0}})),this.paintVertexArray=new r};Aa.prototype.populatePaintArray=function(t,e,n,r,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new ii(0),e,{},r,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Aa.prototype.updatePaintArray=function(t,e,n,r){var i=this.expression.evaluate({zoom:0},n,r);this._setPaintValue(t,e,i)},Aa.prototype._setPaintValue=function(t,e,n){if(\"color\"===this.type)for(var r=Ma(n),i=t;i<e;i++)this.paintVertexArray.emplace(i,r[0],r[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,n);this.maxValue=Math.max(this.maxValue,Math.abs(n))}},Aa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Aa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var La=function(t,e,n,r,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=n,this.useIntegerZoom=r,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===n?4:2,offset:0}})),this.paintVertexArray=new a};La.prototype.populatePaintArray=function(t,e,n,r,i){var a=this.expression.evaluate(new ii(this.zoom),e,{},r,[],i),o=this.expression.evaluate(new ii(this.zoom+1),e,{},r,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},La.prototype.updatePaintArray=function(t,e,n,r){var i=this.expression.evaluate({zoom:this.zoom},n,r),a=this.expression.evaluate({zoom:this.zoom+1},n,r);this._setPaintValue(t,e,i,a)},La.prototype._setPaintValue=function(t,e,n,r){if(\"color\"===this.type)for(var i=Ma(n),a=Ma(r),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,n,r);this.maxValue=Math.max(this.maxValue,Math.abs(n),Math.abs(r))}},La.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},La.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},La.prototype.setUniform=function(t,e){var n=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,r=l(this.expression.interpolationFactor(n,this.zoom,this.zoom+1),0,1);t.set(r)},La.prototype.getBinding=function(t,e,n){return new ya(t,e)};var Ca=function(t,e,n,r,i,a){this.expression=t,this.type=e,this.useIntegerZoom=n,this.zoom=r,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Ca.prototype.populatePaintArray=function(t,e,n){var r=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(r,t,e.patterns&&e.patterns[this.layerId],n)},Ca.prototype.updatePaintArray=function(t,e,n,r,i){this._setPaintValues(t,e,n.patterns&&n.patterns[this.layerId],i)},Ca.prototype._setPaintValues=function(t,e,n,r){if(r&&n){var i=r[n.min],a=r[n.mid],o=r[n.max];if(i&&a&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],i.tl[0],i.tl[1],i.br[0],i.br[1],a.pixelRatio,i.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],a.pixelRatio,o.pixelRatio)}},Ca.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oa.members,this.expression.isStateDependent))},Ca.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Ea=function(t,e,n,r){this.binders={},this.layoutAttributes=r,this._buffers=[];var i=[];for(var a in t.paint._values)if(n(a)){var o=t.paint.get(a);if(o instanceof hi&&On(o.property.specification)){var s=Da(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],d=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[a]=d?new Sa(l.value,s):new Ta(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||d){var f=Ia(a,c,\"source\");this.binders[a]=d?new Ca(l,c,u,e,f,t.id):new Aa(l,s,c,f),i.push(\"/a_\"+a)}else{var p=Ia(a,c,\"composite\");this.binders[a]=new La(l,s,c,u,e,p),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};Ea.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Aa||e instanceof La?e.maxValue:0},Ea.prototype.populatePaintArrays=function(t,e,n,r,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Aa||o instanceof La||o instanceof Ca)&&o.populatePaintArray(t,e,n,r,i)}},Ea.prototype.setConstantPatternPositions=function(t,e){for(var n in this.binders){var r=this.binders[n];r instanceof Sa&&r.setConstantPatternPositions(t,e)}},Ea.prototype.updatePaintArrays=function(t,e,n,r,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=n.feature(c.index);for(var h in this.binders){var d=this.binders[h];if((d instanceof Aa||d instanceof La||d instanceof Ca)&&!0===d.expression.isStateDependent){var f=r.paint.get(h);d.expression=f.value,d.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},Ea.prototype.defines=function(){var t=[];for(var e in this.binders){var n=this.binders[e];(n instanceof Ta||n instanceof Sa)&&t.push.apply(t,n.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Ea.prototype.getPaintVertexBuffers=function(){return this._buffers},Ea.prototype.getUniforms=function(t,e){var n=[];for(var r in this.binders){var i=this.binders[r];if(i instanceof Ta||i instanceof Sa||i instanceof La)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);n.push({name:s,property:r,binding:l})}}}return n},Ea.prototype.setUniforms=function(t,e,n,r){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,r,n.get(l),s)}},Ea.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var n=this.binders[e];if(t&&n instanceof Ca){var r=2===t.fromScale?n.zoomInPaintVertexBuffer:n.zoomOutPaintVertexBuffer;r&&this._buffers.push(r)}else(n instanceof Aa||n instanceof La)&&n.paintVertexBuffer&&this._buffers.push(n.paintVertexBuffer)}},Ea.prototype.upload=function(t){for(var e in this.binders){var n=this.binders[e];(n instanceof Aa||n instanceof La||n instanceof Ca)&&n.upload(t)}this.updatePaintBuffers()},Ea.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Aa||e instanceof La||e instanceof Ca)&&e.destroy()}};var Oa=function(t,e,n,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new Ea(o,n,r,t)}this.needsUpload=!1,this._featureMap=new ha,this._bufferOffset=0};function Da(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function Ia(t,e,n){var r={color:{source:Wi,composite:qi},number:{source:Bi,composite:Wi}},i=function(t){return{\"line-pattern\":{source:Ci,composite:Ci},\"fill-pattern\":{source:Ci,composite:Ci},\"fill-extrusion-pattern\":{source:Ci,composite:Ci}}[t]}(t);return i&&i[n]||r[e][n]}Oa.prototype.populatePaintArrays=function(t,e,n,r,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,r,i,a);void 0!==e.id&&this._featureMap.add(e.id,n,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Oa.prototype.updatePaintArrays=function(t,e,n,r){for(var i=0,a=n;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,r)||this.needsUpload}},Oa.prototype.get=function(t){return this.programConfigurations[t]},Oa.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Oa.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Rr(\"ConstantBinder\",Ta),Rr(\"CrossFadedConstantBinder\",Sa),Rr(\"SourceExpressionBinder\",Aa),Rr(\"CrossFadedCompositeBinder\",Ca),Rr(\"CompositeExpressionBinder\",La),Rr(\"ProgramConfiguration\",Ea,{omit:[\"_buffers\"]}),Rr(\"ProgramConfigurationSet\",Oa);var Pa={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Ra(t){for(var e=8192/t.extent,n=t.loadGeometry(),r=0;r<n.length;r++)for(var i=n[r],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Pa.min||o.x>Pa.max||o.y<Pa.min||o.y>Pa.max)&&(x(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Pa.min,Pa.max),o.y=l(o.y,Pa.min,Pa.max))}return n}function za(t,e,n,r,i){t.emplaceBack(2*e+(r+1)/2,2*n+(i+1)/2)}var ja=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ti,this.indexArray=new ji,this.segments=new ia,this.programConfigurations=new Oa(ra,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Fa(t,e){for(var n=0;n<t.length;n++)if(Ga(e,t[n]))return!0;for(var r=0;r<e.length;r++)if(Ga(t,e[r]))return!0;return!!Ha(t,e)}function Na(t,e,n){return!!Ga(t,e)||!!Ua(e,t,n)}function Ba(t,e){if(1===t.length)return qa(e,t[0]);for(var n=0;n<e.length;n++)for(var r=e[n],i=0;i<r.length;i++)if(Ga(t,r[i]))return!0;for(var a=0;a<t.length;a++)if(qa(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Ha(t,e[o]))return!0;return!1}function Ya(t,e,n){if(t.length>1){if(Ha(t,e))return!0;for(var r=0;r<e.length;r++)if(Ua(e[r],t,n))return!0}for(var i=0;i<t.length;i++)if(Ua(t[i],e,n))return!0;return!1}function Ha(t,e){if(0===t.length||0===e.length)return!1;for(var n=0;n<t.length-1;n++)for(var r=t[n],i=t[n+1],a=0;a<e.length-1;a++)if(Va(r,i,e[a],e[a+1]))return!0;return!1}function Va(t,e,n,r){return w(t,n,r)!==w(e,n,r)&&w(t,e,n)!==w(t,e,r)}function Ua(t,e,n){var r=n*n;if(1===e.length)return t.distSqr(e[0])<r;for(var i=1;i<e.length;i++)if(Wa(t,e[i-1],e[i])<r)return!0;return!1}function Wa(t,e,n){var r=e.distSqr(n);if(0===r)return t.distSqr(e);var i=((t.x-e.x)*(n.x-e.x)+(t.y-e.y)*(n.y-e.y))/r;return t.distSqr(i<0?e:i>1?n:n.sub(e)._mult(i)._add(e))}function qa(t,e){for(var n,r,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(n=t[o]).length-1;s<n.length;l=s++)(r=n[s]).y>e.y!=(i=n[l]).y>e.y&&e.x<(i.x-r.x)*(e.y-r.y)/(i.y-r.y)+r.x&&(a=!a);return a}function Ga(t,e){for(var n=!1,r=0,i=t.length-1;r<t.length;i=r++){var a=t[r],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(n=!n)}return n}function Xa(t,e,n){var r=n[0],i=n[2];if(t.x<r.x&&e.x<r.x||t.x>i.x&&e.x>i.x||t.y<r.y&&e.y<r.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,n[0]);return a!==w(t,e,n[1])||a!==w(t,e,n[2])||a!==w(t,e,n[3])}function Za(t,e,n){var r=e.paint.get(t).value;return\"constant\"===r.kind?r.value:n.programConfigurations.get(e.id).getMaxValue(t)}function Ja(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ka(t,e,n,r,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);\"viewport\"===n&&o._rotate(-r);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}ja.prototype.populate=function(t,e,n){var r=this.layers[0],i=[],a=null;\"circle\"===r.type&&(a=r.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,d=l.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:c.type,id:u,properties:c.properties,geometry:f?Ra(c):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),p,n)){f||(p.geometry=Ra(c));var m=a?a.evaluate(p,{},n):void 0;i.push({id:u,properties:c.properties,type:c.type,sourceLayerIndex:d,index:h,geometry:p.geometry,patterns:{},sortKey:m})}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var v=y[g],_=v.geometry,b=v.index,x=v.sourceLayerIndex,w=t[b].feature;this.addFeature(v,_,b,n),e.featureIndex.insert(w,_,b,x,this.index)}},ja.prototype.update=function(t,e,n){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,n)},ja.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ja.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ja.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ra),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ja.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ja.prototype.addFeature=function(t,e,n,r){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),d=h.vertexLength;za(this.layoutVertexArray,c,u,-1,-1),za(this.layoutVertexArray,c,u,1,-1),za(this.layoutVertexArray,c,u,1,1),za(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(d,d+1,d+2),this.indexArray.emplaceBack(d,d+3,d+2),h.vertexLength+=4,h.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,n,{},r)},Rr(\"CircleBucket\",ja,{omit:[\"layers\"]});var $a=new vi({\"circle-sort-key\":new pi(St.layout_circle[\"circle-sort-key\"])}),Qa={paint:new vi({\"circle-radius\":new pi(St.paint_circle[\"circle-radius\"]),\"circle-color\":new pi(St.paint_circle[\"circle-color\"]),\"circle-blur\":new pi(St.paint_circle[\"circle-blur\"]),\"circle-opacity\":new pi(St.paint_circle[\"circle-opacity\"]),\"circle-translate\":new fi(St.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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r=this.layers[0].layout.get(\"fill-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,d=this.layers[0]._featureFilter.needGeometry,f={type:l.type,id:c,properties:l.properties,geometry:d?Ra(l):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),f,n)){d||(f.geometry=Ra(l));var p=r?r.evaluate(f,{},n,e.availableImages):void 0;i.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:f.geometry,patterns:{},sortKey:p})}}r&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,g=i;m<g.length;m+=1){var y=g[m],v=y.geometry,_=y.index,b=y.sourceLayerIndex;if(this.hasPattern){var x=es(\"fill\",this.layers,y,this.zoom,e);this.patternFeatures.push(x)}else 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0===this.layoutVertexArray.length},ns.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ns.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bo),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},ns.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},ns.prototype.addFeature=function(t,e,n,r,i){for(var a=0,o=$o(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray),d=h.vertexLength,f=[],p=[],m=0,g=s;m<g.length;m+=1){var y=g[m];if(0!==y.length){y!==s[0]&&p.push(f.length/2);var v=this.segments2.prepareSegment(y.length,this.layoutVertexArray,this.indexArray2),_=v.vertexLength;this.layoutVertexArray.emplaceBack(y[0].x,y[0].y),this.indexArray2.emplaceBack(_+y.length-1,_),f.push(y[0].x),f.push(y[0].y);for(var b=1;b<y.length;b++)this.layoutVertexArray.emplaceBack(y[b].x,y[b].y),this.indexArray2.emplaceBack(_+b-1,_+b),f.push(y[b].x),f.push(y[b].y);v.vertexLength+=y.length,v.primitiveLength+=y.length}}for(var x=xo(f,p),w=0;w<x.length;w+=3)this.indexArray.emplaceBack(d+x[w],d+x[w+1],d+x[w+2]);h.vertexLength+=l,h.primitiveLength+=x.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,n,i,r)},Rr(\"FillBucket\",ns,{omit:[\"layers\",\"patternFeatures\"]});var rs=new vi({\"fill-sort-key\":new pi(St.layout_fill[\"fill-sort-key\"])}),is={paint:new vi({\"fill-antialias\":new fi(St.paint_fill[\"fill-antialias\"]),\"fill-opacity\":new pi(St.paint_fill[\"fill-opacity\"]),\"fill-color\":new 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c=t.readVarint();r=7&c,a=c>>3}if(a--,1===r||2===r)o+=t.readSVarint(),s+=t.readSVarint(),1===r&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==r)throw new Error(\"unknown command \"+r);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ls.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,n=1,r=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(r<=0){var u=t.readVarint();n=7&u,r=u>>3}if(r--,1===n||2===n)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==n)throw new Error(\"unknown command \"+n)}return[o,l,s,c]},ls.prototype.toGeoJSON=function(t,e,n){var r,i,a=this.extent*Math.pow(2,n),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ls.types[this.type];function u(t){for(var e=0;e<t.length;e++){var n=t[e];t[e]=[360*(n.x+o)/a-180,360/Math.PI*Math.atan(Math.exp((180-360*(n.y+s)/a)*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(r=0;r<l.length;r++)h[r]=l[r][0];u(l=h);break;case 2:for(r=0;r<l.length;r++)u(l[r]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var n,r,i=[],a=0;a<e;a++){var o=us(t[a]);0!==o&&(void 0===r&&(r=o<0),r===o<0?(n&&i.push(n),n=[t[a]]):n.push(t[a]))}return n&&i.push(n),i}(l),r=0;r<l.length;r++)for(i=0;i<l[r].length;i++)u(l[r][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var d={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(d.id=this.id),d};var hs=ds;function ds(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(fs,this,e),this.length=this._features.length}function fs(t,e,n){15===t?e.version=n.readVarint():1===t?e.name=n.readString():5===t?e.extent=n.readVarint():2===t?e._features.push(n.pos):3===t?e._keys.push(n.readString()):4===t&&e._values.push(function(t){for(var e=null,n=t.readVarint()+t.pos;t.pos<n;){var r=t.readVarint()>>3;e=1===r?t.readString():2===r?t.readFloat():3===r?t.readDouble():4===r?t.readVarint64():5===r?t.readVarint():6===r?t.readSVarint():7===r?t.readBoolean():null}return e}(n))}function ps(t,e,n){if(3===t){var r=new hs(n,n.readVarint()+n.pos);r.length&&(e[r.name]=r)}}ds.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var ms={VectorTile:function(t,e){this.layers=t.readFields(ps,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},gs=ms.VectorTileFeature.types,ys=Math.pow(2,13);function vs(t,e,n,r,i,a,o,s){t.emplaceBack(e,n,2*Math.floor(r*ys)+o,i*ys*2,a*ys*2,Math.round(s))}var _s=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ai,this.indexArray=new ji,this.programConfigurations=new Oa(os,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}_s.prototype.populate=function(t,e,n){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var r=0,i=t;r<i.length;r+=1){var a=i[r],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Ra(o):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),h,n)){var d={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Ra(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(d.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,d,this.zoom,e)):this.addFeature(d,d.geometry,l,n,{}),e.featureIndex.insert(o,d.geometry,l,c,this.index,!0)}}},_s.prototype.addFeatures=function(t,e,n){for(var r=0,i=this.features;r<i.length;r+=1){var a=i[r];this.addFeature(a,a.geometry,a.index,e,n)}},_s.prototype.update=function(t,e,n){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,n)},_s.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},_s.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},_s.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},_s.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},_s.prototype.addFeature=function(t,e,n,r,i){for(var a=0,o=$o(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),d=0,f=s;d<f.length;d+=1){var p=f[d];if(0!==p.length&&!((D=p).every((function(t){return t.x<0}))||D.every((function(t){return t.x>8192}))||D.every((function(t){return t.y<0}))||D.every((function(t){return t.y>8192}))))for(var m=0,g=0;g<p.length;g++){var y=p[g];if(g>=1){var v=p[g-1];if(!bs(y,v)){h.vertexLength+4>ia.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var _=y.sub(v)._perp()._unit(),b=v.dist(y);m+b>32768&&(m=0),vs(this.layoutVertexArray,y.x,y.y,_.x,_.y,0,0,m),vs(this.layoutVertexArray,y.x,y.y,_.x,_.y,0,1,m),vs(this.layoutVertexArray,v.x,v.y,_.x,_.y,0,0,m+=b),vs(this.layoutVertexArray,v.x,v.y,_.x,_.y,0,1,m);var x=h.vertexLength;this.indexArray.emplaceBack(x,x+2,x+1),this.indexArray.emplaceBack(x+1,x+2,x+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ia.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===gs[t.type]){for(var w=[],k=[],M=h.vertexLength,T=0,S=s;T<S.length;T+=1){var A=S[T];if(0!==A.length){A!==s[0]&&k.push(w.length/2);for(var L=0;L<A.length;L++){var C=A[L];vs(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var 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pi(St[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new fi(St[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,xs)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new _s(t)},e.prototype.queryRadius=function(){return Ja(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,n,r,a,o,s,l){var c=Ka(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,n),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,n),d=function(t,e,n,r){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];ao(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l),f=function(t,e,n,r){for(var 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a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,n,i,r)},Cs.prototype.addLine=function(t,e,n,r,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Ss[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===n&&(i=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,d=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),f=void 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o=e.y*r-e.x,s=-e.y-e.x*r;this.addHalfVertex(t,e.x+e.y*n,e.y-e.x*n,a,!1,n,i),this.addHalfVertex(t,o,s,a,!0,-r,i),this.distance>Ls/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,n,r,i,a))},Cs.prototype.addHalfVertex=function(t,e,n,r,i,a,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(r?1:0),(t.y<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*n)+128,1+(0===a?0:a<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),i?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Ls-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Rr(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Es=new vi({\"line-cap\":new 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l=Ka(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Ps(this.paint.get(\"line-width\").evaluate(e,n),this.paint.get(\"line-gap-width\").evaluate(e,n)),u=this.paint.get(\"line-offset\").evaluate(e,n);return u&&(r=function(t,e){for(var n=[],r=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l],u=o[l+1],h=0===l?r:c.sub(o[l-1])._unit()._perp(),d=l===o.length-1?r:u.sub(c)._unit()._perp(),f=h._add(d)._unit();f._mult(1/(f.x*d.x+f.y*d.y)),s.push(f._mult(e)._add(c))}n.push(s)}return n}(r,u*s)),function(t,e,n){for(var r=0;r<e.length;r++){var i=e[r];if(t.length>=3)for(var a=0;a<i.length;a++)if(Ga(t,i[a]))return!0;if(Ya(t,i,n))return!0}return!1}(l,r,c)},e.prototype.isTileClipped=function(){return!0},e}(_i);function Ps(t,e){return e>0?e+2*t:t}var 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dl=function(t,e){var n=e.pixelRatio,r=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=n,this.stretchX=i,this.stretchY=a,this.content=o,this.version=r},fl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};fl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},fl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},fl.tlbr.get=function(){return this.tl.concat(this.br)},fl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(dl.prototype,fl);var pl=function(t,e){var n={},r={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,n,i),this.addImages(e,r,i);var a=hl(i),o=new po({width:a.w||1,height:a.h||1});for(var s in t){var l=t[s],c=n[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],d=r[u].paddedRect,f=d.x+1,p=d.y+1,m=h.data.width,g=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:f,y:p},h.data),po.copy(h.data,o,{x:0,y:g-1},{x:f,y:p-1},{width:m,height:1}),po.copy(h.data,o,{x:0,y:0},{x:f,y:p+g},{width:m,height:1}),po.copy(h.data,o,{x:m-1,y:0},{x:f-1,y:p},{width:1,height:g}),po.copy(h.data,o,{x:0,y:0},{x:f+m,y:p},{width:1,height:g})}this.image=o,this.iconPositions=n,this.patternPositions=r};pl.prototype.addImages=function(t,e,n){for(var r in t){var i=t[r],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};n.push(a),e[r]=new dl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(r)}},pl.prototype.patchUpdatedImages=function(t,e){for(var n in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[n],t.getImage(n),e),this.patchUpdatedImage(this.patternPositions[n],t.getImage(n),e)},pl.prototype.patchUpdatedImage=function(t,e,n){if(t&&e&&t.version!==e.version){t.version=e.version;var r=t.tl;n.update(e.data,void 0,{x:r[0],y:r[1]})}},Rr(\"ImagePosition\",dl),Rr(\"ImageAtlas\",pl);var ml={horizontal:1,vertical:2,horizontalOnly:3},gl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};gl.forText=function(t,e){var n=new gl;return n.scale=t||1,n.fontStack=e,n},gl.forImage=function(t){var e=new gl;return e.imageName=t,e};var yl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function vl(t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m){var g,y=yl.fromFeature(t,i);h===ml.vertical&&y.verticalizePunctuation();var v=ri.processBidirectionalText,_=ri.processStyledBidirectionalText;if(v&&1===y.sections.length){g=[];for(var b=0,x=v(y.toString(),Tl(y,c,a,e,r,f,p));b<x.length;b+=1){var w=x[b],k=new yl;k.text=w,k.sections=y.sections;for(var M=0;M<w.length;M++)k.sectionIndex.push(0);g.push(k)}}else if(_){g=[];for(var T=0,S=_(y.text,y.sectionIndex,Tl(y,c,a,e,r,f,p));T<S.length;T+=1){var A=S[T],L=new yl;L.text=A[0],L.sectionIndex=A[1],L.sections=y.sections,g.push(L)}}else g=function(t,e){for(var n=[],r=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];n.push(t.substring(i,s)),i=s}return i<r.length&&n.push(t.substring(i,r.length)),n}(y,Tl(y,c,a,e,r,f,p));var C=[],E={positionedLines:C,text:y.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,n,r,i,a,o,s,l,c,u,h){for(var d=0,f=-17,p=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,v=0,_=i;v<_.length;v+=1){var b=_[v];b.trim();var x=b.getMaxScale(),w=24*(x-1),k={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=k;var M=k.positionedGlyphs,T=0;if(b.length()){for(var S=0;S<b.length();S++){var A=b.getSection(S),L=b.getSectionIndex(S),C=b.getCharCode(S),E=0,O=null,D=null,I=null,P=24,R=!(l===ml.horizontal||!u&&!Ur(C)||u&&(_l[C]||(U=C,Hr.Arabic(U)||Hr[\"Arabic Supplement\"](U)||Hr[\"Arabic Extended-A\"](U)||Hr[\"Arabic Presentation Forms-A\"](U)||Hr[\"Arabic Presentation Forms-B\"](U))));if(A.imageName){var z=r[A.imageName];if(!z)continue;I=A.imageName,t.iconsInText=t.iconsInText||!0,D=z.paddedRect;var j=z.displaySize;A.scale=24*A.scale/h,E=w+(24-j[1]*A.scale),P=(O={width:j[0],height:j[1],left:1,top:-3,advance:R?j[1]:j[0]}).advance;var F=R?j[0]*A.scale-24*x:j[1]*A.scale-24*x;F>0&&F>T&&(T=F)}else{var N=n[A.fontStack],B=N&&N[C];if(B&&B.rect)D=B.rect,O=B.metrics;else{var Y=e[A.fontStack],H=Y&&Y[C];if(!H)continue;O=H.metrics}E=24*(x-A.scale)}R?(t.verticalizable=!0,M.push({glyph:C,imageName:I,x:d,y:f+E,vertical:R,scale:A.scale,fontStack:A.fontStack,sectionIndex:L,metrics:O,rect:D}),d+=P*A.scale+c):(M.push({glyph:C,imageName:I,x:d,y:f+E,vertical:R,scale:A.scale,fontStack:A.fontStack,sectionIndex:L,metrics:O,rect:D}),d+=O.advance*A.scale+c)}0!==M.length&&(p=Math.max(d-c,p),Al(M,0,M.length-1,g,T)),d=0;var V=a*x+T;k.lineOffset=Math.max(T,w),f+=V,m=Math.max(V,m),++y}else f+=a,++y}var U,W=f- -17,q=Sl(o),G=q.horizontalAlign,X=q.verticalAlign;(function(t,e,n,r,i,a,o,s,l){var c,u=(e-n)*i;c=a!==o?-s*r- 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r=t.charCodeAt(n+1)||null,i=t.charCodeAt(n-1)||null;e+=r&&Wr(r)&&!Ys[t[n+1]]||i&&Wr(i)&&!Ys[t[n-1]]||!Ys[t[n]]?t[n]:Ys[t[n]]}return e}(this.text)},yl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&_l[this.text.charCodeAt(e)];e++)t++;for(var n=this.text.length,r=this.text.length-1;r>=0&&r>=t&&_l[this.text.charCodeAt(r)];r--)n--;this.text=this.text.substring(t,n),this.sectionIndex=this.sectionIndex.slice(t,n)},yl.prototype.substring=function(t,e){var n=new yl;return n.text=this.text.substring(t,e),n.sectionIndex=this.sectionIndex.slice(t,e),n.sections=this.sections,n},yl.prototype.toString=function(){return this.text},yl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,n){return Math.max(e,t.sections[n].scale)}),0)},yl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(gl.forText(t.scale,t.fontStack||e));for(var n=this.sections.length-1,r=0;r<t.text.length;++r)this.sectionIndex.push(n)},yl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var n=this.getNextImageSectionCharCode();n?(this.text+=String.fromCharCode(n),this.sections.push(gl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):x(\"Reached maximum number of images 6401\")}else x(\"Can't add FormattedSection with an empty image.\")},yl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var _l={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function xl(t,e,n,r,i,a){if(e.imageName){var o=r[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=n[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function wl(t,e,n,r){var i=Math.pow(t-e,2);return r?t<e?i/2:2*i:i+Math.abs(n)*n}function kl(t,e,n){var r=0;return 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,d,f,p=e.left*a,m=e.right*a;\"width\"===n||\"both\"===n?(f=i[0]+p-r[3],h=i[0]+m+r[1]):h=(f=i[0]+(p+m-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===n||\"both\"===n?(u=i[1]+g-r[0],d=i[1]+y+r[2]):d=(u=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:d,left:f,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,n,r,i){t.call(this,e,n),this.angle=r,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);function El(t,e){var 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M=s[g.imageName];_=M.sdf,v=1/(b=M.pixelRatio)}var T=a?[g.x+k,g.y]:[0,0],S=a?[0,0]:[g.x+k+n[0],g.y+n[1]-x],A=[0,0];w&&(A=S,S=[0,0]);var L=(g.metrics.left-v)*g.scale-k+S[0],C=(-g.metrics.top-v)*g.scale+S[1],E=L+y.w*g.scale/b,O=C+y.h*g.scale/b,D=new i(L,C),I=new i(E,C),P=new i(L,O),R=new i(E,O);if(w){var z=new i(-k,k- -17),j=-Math.PI/2,F=12-k,N=new i(22-F,-(g.imageName?F:0)),B=new(Function.prototype.bind.apply(i,[null].concat(A)));D._rotateAround(j,z)._add(N)._add(B),I._rotateAround(j,z)._add(N)._add(B),P._rotateAround(j,z)._add(N)._add(B),R._rotateAround(j,z)._add(N)._add(B)}if(c){var Y=Math.sin(c),H=Math.cos(c),V=[H,-Y,Y,H];D._matMult(V),I._matMult(V),P._matMult(V),R._matMult(V)}var U=new i(0,0),W=new i(0,0);u.push({tl:D,tr:I,bl:P,br:R,tex:y,writingMode:e.writingMode,glyphOffset:T,sectionIndex:g.sectionIndex,isSDF:_,pixelOffsetTL:U,pixelOffsetBR:W,minFontScaleX:0,minFontScaleY:0})}}return 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ia,this.collisionVertexArray=new zi};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,js.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Rr(\"CollisionBuffers\",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var 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Oa(Rs.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Qi,this.lineVertexArray=new ta,this.symbolInstances=new $i},hc.prototype.calculateGlyphDependencies=function(t,e,n,r,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(n||r)&&i){var o=Ys[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,n){var r=this.layers[0],i=r.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,d=e.glyphDependencies,f=e.availableImages,p=new ii(this.zoom),m=0,g=t;m<g.length;m+=1){var y=g[m],v=y.feature,_=y.id,b=y.index,x=y.sourceLayerIndex,w=r._featureFilter.needGeometry,k={type:v.type,id:_,properties:v.properties,geometry:w?Ra(v):[]};if(r._featureFilter.filter(p,k,n)){w||(k.geometry=Ra(v));var M=void 0;if(l){var T=r.getValueAndResolveTokens(\"text-field\",k,n,f),S=te.factory(T);lc(S)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ei()||this.hasRTLText&&ri.isParsed())&&(M=Bs(S,r,k))}var A=void 0;if(c){var L=r.getValueAndResolveTokens(\"icon-image\",k,n,f);A=L instanceof ee?L:ee.fromString(L)}if(M||A){var C=this.sortFeaturesByKey?u.evaluate(k,{},n):void 0,E={id:_,text:M,icon:A,index:b,sourceLayerIndex:x,geometry:Ra(v),properties:v.properties,type:ic[v.type],sortKey:C};if(this.features.push(E),A&&(h[A.name]=!0),M){var O=a.evaluate(k,{},n).join(\",\"),D=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(ml.vertical)>=0;for(var I=0,P=M.sections;I<P.length;I+=1){var R=P[I];if(R.image)h[R.image.name]=!0;else{var z=Vr(M.toString()),j=R.fontStack||O,F=d[j]=d[j]||{};this.calculateGlyphDependencies(R.text,F,D,this.allowVerticalPlacement,z)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},n={},r=[],i=0;function a(e){r.push(t[e]),i++}function o(t,e,i){var a=n[t];return delete n[t],n[e]=a,r[a].geometry[0].pop(),r[a].geometry[0]=r[a].geometry[0].concat(i[0]),a}function s(t,n,i){var a=e[n];return delete e[n],e[t]=a,r[a].geometry[0].shift(),r[a].geometry[0]=i[0].concat(r[a].geometry[0]),a}function l(t,e,n){var r=n?e[0][e[0].length-1]:e[0][0];return t+\":\"+r.x+\":\"+r.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,d=u.text?u.text.toString():null;if(d){var f=l(d,h),p=l(d,h,!0);if(f in n&&p in e&&n[f]!==e[p]){var m=s(f,p,h),g=o(f,p,r[m].geometry);delete e[f],delete n[p],n[l(d,r[g].geometry,!0)]=g,r[m].geometry=null}else f in n?o(f,p,h):p in e?s(f,p,h):(a(c),e[f]=i-1,n[p]=i-1)}else a(c)}return r.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,n){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,n),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,n))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var n=this.lineVertexArray.length;if(void 0!==t.segment){for(var r=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:r},o<e.length-1&&(r+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:n,lineLength:this.lineVertexArray.length-n}},hc.prototype.addSymbols=function(t,e,n,r,i,a,o,s,l,c,u,h){for(var d=t.indexArray,f=t.layoutVertexArray,p=t.segments.prepareSegment(4*e.length,f,d,a.sortKey),m=this.glyphOffsetArray.length,g=p.vertexLength,y=this.allowVerticalPlacement&&o===ml.vertical?Math.PI/2:0,v=a.text&&a.text.sections,_=0;_<e.length;_++){var b=e[_],x=b.tl,w=b.tr,k=b.bl,M=b.br,T=b.tex,S=b.pixelOffsetTL,A=b.pixelOffsetBR,L=b.minFontScaleX,C=b.minFontScaleY,E=b.glyphOffset,O=b.isSDF,D=b.sectionIndex,I=p.vertexLength,P=E[1];oc(f,s.x,s.y,x.x,P+x.y,T.x,T.y,n,O,S.x,S.y,L,C),oc(f,s.x,s.y,w.x,P+w.y,T.x+T.w,T.y,n,O,A.x,S.y,L,C),oc(f,s.x,s.y,k.x,P+k.y,T.x,T.y+T.h,n,O,S.x,A.y,L,C),oc(f,s.x,s.y,M.x,P+M.y,T.x+T.w,T.y+T.h,n,O,A.x,A.y,L,C),sc(t.dynamicLayoutVertexArray,s,y),d.emplaceBack(I,I+1,I+2),d.emplaceBack(I+1,I+2,I+3),p.vertexLength+=4,p.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(E[0]),_!==e.length-1&&D===e[_+1].sectionIndex||t.programConfigurations.populatePaintArrays(f.length,a,a.index,{},h,v&&v[D])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,n?n[0]:0,n?n[1]:0,r[0],r[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,n,r,i,a){return e.emplaceBack(0,0),t.emplaceBack(n.x,n.y,r,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,n,r,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,h=a.collisionVertexArray,d=s.anchorX,f=s.anchorY;this._addCollisionDebugVertex(u,h,o,d,f,new i(t,e)),this._addCollisionDebugVertex(u,h,o,d,f,new i(n,e)),this._addCollisionDebugVertex(u,h,o,d,f,new i(n,r)),this._addCollisionDebugVertex(u,h,o,d,f,new i(t,r)),l.vertexLength+=4;var p=a.indexArray;p.emplaceBack(c,c+1),p.emplaceBack(c+1,c+2),p.emplaceBack(c+2,c+3),p.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,n,r){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i);this.addCollisionDebugVertices(a.x1,a.y1,a.x2,a.y2,r?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,n)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Pi,Fs.members,Vi),this.iconCollisionBox=new uc(Pi,Fs.members,Vi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,n,r,i,a,o,s,l){for(var c={},u=e;u<n;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var d=r;d<i;d++){var f=t.get(d);c.verticalTextBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.verticalTextFeatureIndex=f.featureIndex;break}for(var p=a;p<o;p++){var m=t.get(p);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);c.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},c.verticalIconFeatureIndex=y.featureIndex;break}return c},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var n=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,n.textBoxStartIndex,n.textBoxEndIndex,n.verticalTextBoxStartIndex,n.verticalTextBoxEndIndex,n.iconBoxStartIndex,n.iconBoxEndIndex,n.verticalIconBoxStartIndex,n.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var n=t.placedSymbolArray.get(e),r=n.vertexStartIndex+4*n.numGlyphs,i=n.vertexStartIndex;i<r;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),n=Math.cos(t),r=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);r.push(0|Math.round(e*s.anchorX+n*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return r[t]-r[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var n=this.sortKeyRanges[this.sortKeyRanges.length-1];n&&n.sortKey===e?n.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var n=0,r=this.symbolInstanceIndexes;n<r.length;n+=1){var i=this.symbolInstances.get(r[n]);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t,n,r){t>=0&&r.indexOf(t)===n&&e.addIndicesForPlacedSymbol(e.text,t)})),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,i.verticalPlacedTextSymbolIndex),i.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.placedIconSymbolIndex),i.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Rr(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var dc=new vi({\"symbol-placement\":new fi(St.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new fi(St.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new fi(St.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new pi(St.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new fi(St.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new fi(St.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new fi(St.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new fi(St.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new fi(St.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new pi(St.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new fi(St.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new fi(St.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new pi(St.layout_symbol[\"icon-image\"]),\"icon-rotate\":new pi(St.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new fi(St.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new fi(St.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new pi(St.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new pi(St.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new fi(St.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new fi(St.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new fi(St.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new pi(St.layout_symbol[\"text-field\"]),\"text-font\":new pi(St.layout_symbol[\"text-font\"]),\"text-size\":new pi(St.layout_symbol[\"text-size\"]),\"text-max-width\":new pi(St.layout_symbol[\"text-max-width\"]),\"text-line-height\":new fi(St.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new pi(St.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new pi(St.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new pi(St.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new fi(St.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new pi(St.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new fi(St.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new fi(St.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new pi(St.layout_symbol[\"text-rotate\"]),\"text-padding\":new fi(St.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new fi(St.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new pi(St.layout_symbol[\"text-transform\"]),\"text-offset\":new pi(St.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new fi(St.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new fi(St.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new fi(St.layout_symbol[\"text-optional\"])}),fc={paint:new vi({\"icon-opacity\":new pi(St.paint_symbol[\"icon-opacity\"]),\"icon-color\":new pi(St.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new pi(St.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new pi(St.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new pi(St.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new fi(St.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new fi(St.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new pi(St.paint_symbol[\"text-opacity\"]),\"text-color\":new pi(St.paint_symbol[\"text-color\"],{runtimeType:Ft,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new pi(St.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new pi(St.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new pi(St.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new fi(St.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new fi(St.paint_symbol[\"text-translate-anchor\"])}),layout:dc},pc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Pt,this.defaultValue=t};pc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},pc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},pc.prototype.outputDefined=function(){return!1},pc.prototype.serialize=function(){return null},Rr(\"FormatSectionOverride\",pc,{omit:[\"defaultValue\"]});var mc=function(t){function e(e){t.call(this,e,fc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,n){if(t.prototype.recalculate.call(this,e,n),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var r=this.layout.get(\"text-writing-mode\");if(r){for(var i=[],a=0,o=r;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,n,r){var i=this.layout.get(t).evaluate(e,{},n,r),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Vn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,n){return n in t?String(t[n]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,n=fc.paint.overridableProperties;t<n.length;t+=1){var r=n[t];if(e.hasPaintOverride(this.layout,r)){var i,a=this.paint.get(r),o=new pc(a),s=new Hn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new Wn(\"source\",s):new qn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[r]=new hi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,n,r){return!(!this.layout||n.isDataDriven()||r.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var n=t.get(\"text-field\"),r=fc.paint.properties[e],i=!1,a=function(t){for(var e=0,n=t;e<n.length;e+=1)if(r.overrides&&r.overrides.hasOverride(n[e]))return void(i=!0)};if(\"constant\"===n.value.kind&&n.value.value instanceof te)a(n.value.value.sections);else if(\"source\"===n.value.kind){var o=function(t){i||(t instanceof oe&&ie(t.value)===Ht?a(t.value.sections):t instanceof ue?a(t.sections):t.eachChild(o))},s=n.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(_i),gc={paint:new vi({\"background-color\":new fi(St.paint_background[\"background-color\"]),\"background-pattern\":new gi(St.paint_background[\"background-pattern\"]),\"background-opacity\":new fi(St.paint_background[\"background-opacity\"])})},yc=function(t){function e(e){t.call(this,e,gc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(_i),vc={paint:new vi({\"raster-opacity\":new fi(St.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new fi(St.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new fi(St.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new fi(St.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new fi(St.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new fi(St.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new fi(St.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new fi(St.paint_raster[\"raster-fade-duration\"])})},_c=function(t){function e(e){t.call(this,e,vc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(_i),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(_i),xc={circle:oo,heatmap:yo,hillshade:_o,fill:as,\"fill-extrusion\":ws,line:Is,symbol:mc,background:yc,raster:_c},wc=self.HTMLImageElement,kc=self.HTMLCanvasElement,Mc=self.HTMLVideoElement,Tc=self.ImageData,Sc=self.ImageBitmap,Ac=function(t,e,n,r){this.context=t,this.format=n,this.texture=t.gl.createTexture(),this.update(e,r)};Ac.prototype.update=function(t,e,n){var r=t.width,i=t.height,a=!(this.size&&this.size[0]===r&&this.size[1]===i||n),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[r,i],t instanceof wc||t instanceof kc||t instanceof Mc||t instanceof Tc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,r,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=n||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof kc||t instanceof Mc||t instanceof Tc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,r,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ac.prototype.bind=function(t,e,n){var r=this.context.gl;r.bindTexture(r.TEXTURE_2D,this.texture),n!==r.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(n=r.LINEAR),t!==this.filter&&(r.texParameteri(r.TEXTURE_2D,r.TEXTURE_MAG_FILTER,t),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_MIN_FILTER,n||t),this.filter=t),e!==this.wrap&&(r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,e),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,e),this.wrap=e)},Ac.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ac.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,n){this.target=t,this.parent=e,this.mapId=n,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=M()?t:self};function Ec(t,e,n){var r=2*Math.PI*6378137/256/Math.pow(2,n);return[t*r-2*Math.PI*6378137/2,e*r-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,n,r,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);n&&(this.callbacks[o]=n);var s=A(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!n,targetMapId:r,mustQueue:i,sourceMapId:this.mapId,data:Nr(e,s)},s),{cancel:function(){n&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:r,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,n=e.id;if(n&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[n];var r=this.cancelCallbacks[n];delete this.cancelCallbacks[n],r&&r()}else M()||e.mustQueue?(this.tasks[n]=e,this.taskQueue.push(n),this.invoker.trigger()):this.processTask(n,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var n=this;if(\"<response>\"===e.type){var r=this.callbacks[t];delete this.callbacks[t],r&&(e.error?r(Br(e.error)):r(null,Br(e.data)))}else{var i=!1,a=A(this.globalScope)?void 0:[],o=e.hasCallback?function(e,r){i=!0,delete n.cancelCallbacks[t],n.target.postMessage({id:t,type:\"<response>\",sourceMapId:n.mapId,error:e?Nr(e):null,data:Nr(r,a)},a)}:function(t){i=!0},s=null,l=Br(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,n,r=this._sw,i=this._ne;if(t instanceof Dc)e=t,n=t;else{if(!(t instanceof Oc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Oc.convert(t)):this.extend(Dc.convert(t)):this;if(n=t._ne,!(e=t._sw)||!n)return this}return r||i?(r.lng=Math.min(e.lng,r.lng),r.lat=Math.min(e.lat,r.lat),i.lng=Math.max(n.lng,i.lng),i.lat=Math.max(n.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(n.lng,n.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),n=e.lng,r=e.lat,i=this._sw.lng<=n&&n<=this._ne.lng;return this._sw.lng>this._ne.lng&&(i=this._sw.lng>=n&&n>=this._ne.lng),this._sw.lat<=r&&r<=this._ne.lat&&i},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Dc.prototype.wrap=function(){return new Dc(c(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,n=this.lat*e,r=t.lat*e,i=Math.sin(n)*Math.sin(r)+Math.cos(n)*Math.cos(r)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,n=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-n,this.lat-e),new Dc(this.lng+n,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Ic=2*Math.PI*6371008.8;function Pc(t){return Ic*Math.cos(t*Math.PI/180)}function Rc(t){return(180+t)/360}function zc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function jc(t,e){return t/Pc(e)}function Fc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,n){void 0===n&&(n=0),this.x=+t,this.y=+e,this.z=+n};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var n=Dc.convert(t);return new Nc(Rc(n.lng),zc(n.lat),jc(e,n.lat))},Nc.prototype.toLngLat=function(){return new Dc(360*this.x-180,Fc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Pc(Fc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Ic*(t=Fc(this.y),1/Math.cos(t*Math.PI/180));var t};var Bc=function(t,e,n){this.z=t,this.x=e,this.y=n,this.key=Vc(0,t,t,e,n)};Bc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Bc.prototype.url=function(t,e){var n,r,i,a,o,s=(r=this.y,i=this.z,a=Ec(256*(n=this.x),256*(r=Math.pow(2,i)-r-1),i),o=Ec(256*(n+1),256*(r+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,n){for(var r,i=\"\",a=t;a>0;a--)i+=(e&(r=1<<a-1)?1:0)+(n&r?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Bc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},Bc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Yc=function(t,e){this.wrap=t,this.canonical=e,this.key=Vc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,n,r,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Bc(n,+r,+i),this.key=Vc(e,t,n,r,i)};function Vc(t,e,n,r,i){(t*=2)<0&&(t=-1*t-1);var a=1<<n;return(a*a*t+a*i+r).toString(36)+n.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var n=this.canonical.z-t;return t>this.canonical.z?Vc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Vc(this.wrap*+e,t,t,this.canonical.x>>n,this.canonical.y>>n)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,n=2*this.canonical.x,r=2*this.canonical.y;return[new Hc(e,this.wrap,e,n,r),new Hc(e,this.wrap,e,n+1,r),new Hc(e,this.wrap,e,n,r+1),new Hc(e,this.wrap,e,n+1,r+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new Yc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Rr(\"CanonicalTileID\",Bc),Rr(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Uc=function(t,e,n){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(n&&\"mapbox\"!==n&&\"terrarium\"!==n)return x('\"'+n+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var r=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=n||\"mapbox\";for(var i=0;i<r;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(r,i)]=this.data[this._idx(r-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,r)]=this.data[this._idx(i,r-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(r,-1)]=this.data[this._idx(r-1,0)],this.data[this._idx(-1,r)]=this.data[this._idx(0,r-1)],this.data[this._idx(r,r)]=this.data[this._idx(r-1,r-1)]};Uc.prototype.get=function(t,e){var n=new Uint8Array(this.data.buffer),r=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(n[r],n[r+1],n[r+2])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,n){return(256*t*256+256*e+n)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,n){return 256*t+e+n/256-32768},Uc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,n){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var r=e*this.dim,i=e*this.dim+this.dim,a=n*this.dim,o=n*this.dim+this.dim;switch(e){case-1:r=i-1;break;case 1:i=r+1}switch(n){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-n*this.dim,c=a;c<o;c++)for(var u=r;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Rr(\"DEMData\",Uc);var Wc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var n=t[e];this._stringToNumber[n]=e,this._numberToString[e]=n}};Wc.prototype.encode=function(t){return this._stringToNumber[t]},Wc.prototype.decode=function(t){return this._numberToString[t]};var qc=function(t,e,n,r,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=n,t._y=r,this.properties=t.properties,this.id=i},Gc={geometry:{configurable:!0}};Gc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Gc.geometry.set=function(t){this._geometry=t},qc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(qc.prototype,Gc);var Xc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Xc.prototype.updateState=function(t,e,n){var r=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][r]=this.stateChanges[t][r]||{},u(this.stateChanges[t][r],n),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==r&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][r])for(var a in this.deletedStates[t][r]={},this.state[t][r])n[a]||(this.deletedStates[t][r][a]=null);else for(var o in n)this.deletedStates[t]&&this.deletedStates[t][r]&&null===this.deletedStates[t][r][o]&&delete this.deletedStates[t][r][o]},Xc.prototype.removeFeatureState=function(t,e,n){if(null!==this.deletedStates[t]){var r=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},n&&void 0!==e)null!==this.deletedStates[t][r]&&(this.deletedStates[t][r]=this.deletedStates[t][r]||{},this.deletedStates[t][r][n]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][r])for(n in this.deletedStates[t][r]={},this.stateChanges[t][r])this.deletedStates[t][r][n]=null;else this.deletedStates[t][r]=null;else this.deletedStates[t]=null}},Xc.prototype.getState=function(t,e){var n=String(e),r=u({},(this.state[t]||{})[n],(this.stateChanges[t]||{})[n]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var i=this.deletedStates[t][e];if(null===i)return{};for(var a in i)delete r[a]}return r},Xc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Xc.prototype.coalesceChanges=function(t,e){var n={};for(var r in this.stateChanges){this.state[r]=this.state[r]||{};var i={};for(var a in this.stateChanges[r])this.state[r][a]||(this.state[r][a]={}),u(this.state[r][a],this.stateChanges[r][a]),i[a]=this.state[r][a];n[r]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,d=Object.keys(this.deletedStates[o][c]);h<d.length;h+=1)delete this.state[o][c][d[h]];s[c]=this.state[o][c]}n[o]=n[o]||{},u(n[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(var f in t)t[f].setFeatureState(n,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Er(8192,16,0),this.grid3D=new Er(8192,16,0),this.featureIndexArray=new na,this.promoteId=e};function Jc(t,e,n,r,i){return y(t,(function(t,a){var o=e instanceof di?e.get(a):null;return o&&o.evaluate?o.evaluate(n,r,i):o}))}function Kc(t){for(var e=1/0,n=1/0,r=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),n=Math.min(n,s.y),r=Math.max(r,s.x),i=Math.max(i,s.y)}return{minX:e,minY:n,maxX:r,maxY:i}}function $c(t,e){return e-t}Zc.prototype.insert=function(t,e,n,r,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(n,r,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var d=c[h];u[0]=Math.min(u[0],d.x),u[1]=Math.min(u[1],d.y),u[2]=Math.max(u[2],d.x),u[3]=Math.max(u[3],d.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new ms.VectorTile(new Us(this.rawTileData)).layers,this.sourceLayerCoder=new Wc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,n,r){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rr(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),d=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),f=Kc(t.cameraQueryGeometry),p=0,m=this.grid3D.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u,(function(e,n,r,a){return function(t,e,n,r,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&n<=l.y&&r>=l.x&&a>=l.y)return!0}var c=[new i(e,n),new i(e,a),new i(r,a),new i(r,n)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Ga(t,h[u]))return!0;for(var d=0;d<t.length-1;d++)if(Xa(t[d],t[d+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,n-u,r+u,a+u)}));p<m.length;p+=1)d.push(m[p]);d.sort($c);for(var g,y={},v=function(i){var u=d[i];if(u!==g){g=u;var h=a.featureIndexArray.get(u),f=null;a.loadMatchingFeature(y,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,n,r,(function(e,n,r){return f||(f=Ra(e)),n.queryIntersectsFeature(c,e,r,f,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<d.length;_++)v(_);return y},Zc.prototype.loadMatchingFeature=function(t,e,n,r,i,a,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!a||function(t,e){for(var n=0;n<t.length;n++)if(e.indexOf(t[n])>=0)return!0;return!1}(a,h)){var d=this.sourceLayerCoder.decode(n),f=this.vtLayers[d].feature(r);if(i.filter(new ii(this.tileID.overscaledZ),f))for(var p=this.getId(f,d),m=0;m<h.length;m++){var g=h[m];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var v={};void 0!==p&&c&&(v=c.getState(y.sourceLayer||\"_geojsonTileLayer\",p));var _=l[g];_.paint=Jc(_.paint,y.paint,f,v,o),_.layout=Jc(_.layout,y.layout,f,v,o);var b=!u||u(f,y,v);if(b){var x=new qc(f,this.z,this.x,this.y,p);x.layer=_;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:r,feature:x,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,n,r,i,a,o,s){var l={};this.loadVTLayers();for(var c=rr(i),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,n,r,h[u],c,a,o,s,e);return l},Zc.prototype.hasLayer=function(t){for(var e=0,n=this.bucketLayerIDs;e<n.length;e+=1)for(var r=0,i=n[e];r<i.length;r+=1)if(t===i[r])return!0;return!1},Zc.prototype.getId=function(t,e){var n=t.id;return this.promoteId&&\"boolean\"==typeof(n=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(n=Number(n)),n},Rr(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Qc=function(t,e){this.tileID=t,this.uid=d(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Qc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<z.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Qc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Qc.prototype.loadVectorData=function(t,e,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var r in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var n={};if(!e)return n;for(var r=function(){var t=a[i],r=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==r.length){t.layers=r,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return r.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=r;o<s.length;o+=1)n[s[o].id]=t}},i=0,a=t;i<a.length;i+=1)r();return n}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[r];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!n)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,ri.isLoading()||ri.isLoaded()||\"deferred\"!==ei()||ni();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Xi},Qc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Qc.prototype.getBucket=function(t){return this.buckets[t.id]},Qc.prototype.upload=function(t){for(var e in this.buckets){var n=this.buckets[e];n.uploadPending()&&n.upload(t)}var r=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ac(t,this.imageAtlas.image,r.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ac(t,this.glyphAtlasImage,r.ALPHA),this.glyphAtlasImage=null)},Qc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Qc.prototype.queryRenderedFeatures=function(t,e,n,r,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,n):{}},Qc.prototype.querySourceFeatures=function(t,e){var n=this.latestFeatureIndex;if(n&&n.rawTileData){var r=n.loadVTLayers(),i=e?e.sourceLayer:\"\",a=r._geojsonTileLayer||r[i];if(a)for(var o=rr(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},d=0;d<a.length;d++){var f=a.feature(d);if(o.filter(new ii(this.tileID.overscaledZ),f)){var p=n.getId(f,i),m=new qc(f,l,c,u,p);m.tile=h,t.push(m)}}}},Qc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Qc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Qc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var n=T(t.cacheControl);n[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*n[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var r=Date.now(),i=!1;if(this.expirationTime>r)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=r+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Qc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Qc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var n=this.latestFeatureIndex.loadVTLayers();for(var r in this.buckets)if(e.style.hasLayer(r)){var i=this.buckets[r],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=n[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(r);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Qc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Qc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<z.now()},Qc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Qc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=z.now()+t},Qc.prototype.setDependencies=function(t,e){for(var n={},r=0,i=e;r<i.length;r+=1)n[i[r]]=!0;this.dependencies[t]=n},Qc.prototype.hasDependency=function(t,e){for(var n=0,r=t;n<r.length;n+=1){var i=this.dependencies[r[n]];if(i)for(var a=0,o=e;a<o.length;a+=1)if(i[o[a]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=Bc,t.CollisionBoxArray=Xi,t.Color=Kt,t.DEMData=Uc,t.DataConstantProperty=fi,t.DictionaryCoder=Wc,t.EXTENT=8192,t.ErrorEvent=Mt,t.EvaluationParameters=ii,t.Event=kt,t.Evented=Tt,t.FeatureIndex=Zc,t.FillBucket=ns,t.FillExtrusionBucket=_s,t.ImageAtlas=pl,t.ImagePosition=dl,t.LineBucket=Cs,t.LngLat=Dc,t.LngLatBounds=Oc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Hc,t.Point=i,t.Point$1=i,t.Properties=vi,t.Protobuf=Us,t.RGBAImage=po,t.RequestManager=V,t.RequestPerformance=eu,t.ResourceType=dt,t.SegmentVector=ia,t.SourceFeatureState=Xc,t.StructArrayLayout1ui2=Ui,t.StructArrayLayout2f1f2i16=Ri,t.StructArrayLayout2i4=Ti,t.StructArrayLayout3ui6=ji,t.StructArrayLayout4i8=Si,t.SymbolBucket=hc,t.Texture=Ac,t.Tile=Qc,t.Transitionable=si,t.Uniform1f=ya,t.Uniform1i=ga,t.Uniform2f=va,t.Uniform3f=_a,t.Uniform4f=ba,t.UniformColor=xa,t.UniformMatrix4f=ka,t.UnwrappedTileID=Yc,t.ValidationError=At,t.WritingMode=ml,t.ZoomHistory=Yr,t.add=function(t,e,n){return t[0]=e[0]+n[0],t[1]=e[1]+n[1],t[2]=e[2]+n[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,n){if(!t.length)return n(null,[]);var r=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--r&&n(a,i)}))}))},t.bezier=o,t.bindAll=m,t.browser=z,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=Bl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=_,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=j,t.create=function(){var t=new to(16);return to!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new to(9);return to!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new to(4);return to!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Un,t.createLayout=ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new bc(t):new xc[t.type](t)},t.cross=function(t,e,n){var r=e[0],i=e[1],a=e[2],o=n[0],s=n[1],l=n[2];return t[0]=i*l-a*s,t[1]=a*o-r*l,t[2]=r*s-i*o,t},t.deepEqual=function t(e,n){if(Array.isArray(e)){if(!Array.isArray(n)||e.length!==n.length)return!1;for(var r=0;r<e.length;r++)if(!t(e[r],n[r]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==n){if(\"object\"!=typeof n)return!1;if(Object.keys(e).length!==Object.keys(n).length)return!1;for(var i in e)if(!t(e[i],n[i]))return!1;return!0}return e===n},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=Cr,t.endsWith=g,t.enforceCacheSizeLimit=function(t){st(),$&&$.then((function(e){e.keys().then((function(n){for(var r=0;r<n.length-t;r++)e.delete(n[r])}))}))},t.evaluateSizeForFeature=Ol,t.evaluateSizeForZoom=Dl,t.evaluateVariableOffset=Ql,t.evented=ti,t.extend=u,t.featureFilter=rr,t.filterObject=v,t.fromRotation=function(t,e){var n=Math.sin(e),r=Math.cos(e);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=Sl,t.getAnchorJustification=tc,t.getArrayBuffer=vt,t.getImage=bt,t.getJSON=function(t,e){return yt(u(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=ei,t.getReferrer=gt,t.getVideo=function(t,e){var n,r,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement(\"source\");n=t[a],r=void 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i=0;i<t.length;i++){var a=[];$(t[i],a,n,r),e.push(a)}}function tt(t){return t/360+.5}function et(t){var e=Math.sin(t*Math.PI/180),n=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return n<0?0:n>1?1:n}function nt(t,e,n,r,i,a,o,s){if(r/=e,a>=(n/=e)&&o<r)return t;if(o<n||a>=r)return null;for(var l=[],c=0;c<t.length;c++){var u=t[c],h=u.geometry,d=u.type,f=0===i?u.minX:u.minY,p=0===i?u.maxX:u.maxY;if(f>=n&&p<r)l.push(u);else if(!(p<n||f>=r)){var m=[];if(\"Point\"===d||\"MultiPoint\"===d)rt(h,m,n,r,i);else if(\"LineString\"===d)it(h,m,n,r,i,!1,s.lineMetrics);else if(\"MultiLineString\"===d)ot(h,m,n,r,i,!1);else if(\"Polygon\"===d)ot(h,m,n,r,i,!0);else if(\"MultiPolygon\"===d)for(var g=0;g<h.length;g++){var y=[];ot(h[g],y,n,r,i,!0),y.length&&m.push(y)}if(m.length){if(s.lineMetrics&&\"LineString\"===d){for(g=0;g<m.length;g++)l.push(X(u.id,d,m[g],u.tags));continue}\"LineString\"!==d&&\"MultiLineString\"!==d||(1===m.length?(d=\"LineString\",m=m[0]):d=\"MultiLineString\"),\"Point\"!==d&&\"MultiPoint\"!==d||(d=3===m.length?\"Point\":\"MultiPoint\"),l.push(X(u.id,d,m,u.tags))}}}return l.length?l:null}function rt(t,e,n,r,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=n&&o<=r&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function it(t,e,n,r,i,a,o){for(var s,l,c=at(t),u=0===i?lt:ct,h=t.start,d=0;d<t.length-3;d+=3){var f=t[d],p=t[d+1],m=t[d+2],g=t[d+3],y=t[d+4],v=0===i?f:p,_=0===i?g:y,b=!1;o&&(s=Math.sqrt(Math.pow(f-g,2)+Math.pow(p-y,2))),v<n?_>n&&(l=u(c,f,p,g,y,n),o&&(c.start=h+s*l)):v>r?_<r&&(l=u(c,f,p,g,y,r),o&&(c.start=h+s*l)):st(c,f,p,m),_<n&&v>=n&&(l=u(c,f,p,g,y,n),b=!0),_>r&&v<=r&&(l=u(c,f,p,g,y,r),b=!0),!a&&b&&(o&&(c.end=h+s*l),e.push(c),c=at(t)),o&&(h+=s)}var x=t.length-3;f=t[x],p=t[x+1],m=t[x+2],(v=0===i?f:p)>=n&&v<=r&&st(c,f,p,m),x=c.length-3,a&&x>=3&&(c[x]!==c[0]||c[x+1]!==c[1])&&st(c,c[0],c[1],c[2]),c.length&&e.push(c)}function at(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ot(t,e,n,r,i,a){for(var o=0;o<t.length;o++)it(t[o],e,n,r,i,a,!1)}function st(t,e,n,r){t.push(e),t.push(n),t.push(r)}function lt(t,e,n,r,i,a){var o=(a-e)/(r-e);return t.push(a),t.push(n+(i-n)*o),t.push(1),o}function ct(t,e,n,r,i,a){var o=(a-n)/(i-n);return t.push(e+(r-e)*o),t.push(a),t.push(1),o}function ut(t,e){for(var n=[],r=0;r<t.length;r++){var i,a=t[r],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=ht(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(ht(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(ht(a.geometry[s][c],e));i.push(l)}n.push(X(a.id,o,i,a.tags))}return n}function ht(t,e){var n=[];n.size=t.size,void 0!==t.start&&(n.start=t.start,n.end=t.end);for(var r=0;r<t.length;r+=3)n.push(t[r]+e,t[r+1],t[r+2]);return n}function dt(t,e){if(t.transformed)return t;var n,r,i,a=1<<t.z,o=t.x,s=t.y;for(n=0;n<t.features.length;n++){var l=t.features[n],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(r=0;r<c.length;r+=2)l.geometry.push(ft(c[r],c[r+1],e,a,o,s));else for(r=0;r<c.length;r++){var h=[];for(i=0;i<c[r].length;i+=2)h.push(ft(c[r][i],c[r][i+1],e,a,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function ft(t,e,n,r,i,a){return[Math.round(n*(t*r-i)),Math.round(n*(e*r-a))]}function pt(t,e,n,r,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:n,y:r,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,mt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function mt(t,e,n,r){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)gt(o,i,t,n,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)gt(o,i[s],t,n,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)gt(o,c[s],t,n,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===a&&r.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var d={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(d.id=e.id),t.features.push(d)}}function gt(t,e,n,r,i,a){var o=r*r;if(r>0&&e.size<(i?o:r))n.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===r||e[l+2]>o)&&(n.numSimplified++,s.push(e[l]),s.push(e[l+1])),n.numPoints++;i&&function(t,e){for(var n=0,r=0,i=t.length,a=i-2;r<i;a=r,r+=2)n+=(t[r]-t[a])*(t[r+1]+t[a+1]);if(n>0===e)for(r=0,i=t.length;r<i/2;r+=2){var o=t[r],s=t[r+1];t[r]=t[i-2-r],t[r+1]=t[i-1-r],t[i-2-r]=o,t[i-1-r]=s}}(s,a),t.push(s)}}function yt(t,e){var n=(e=this.options=function(t,e){for(var n in e)t[n]=e[n];return t}(Object.create(this.options),e)).debug;if(n&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var r=function(t,e){var n=[];if(\"FeatureCollection\"===t.type)for(var r=0;r<t.features.length;r++)J(n,t.features[r],e,r);else J(n,\"Feature\"===t.type?t:{geometry:t},e);return n}(t,e);this.tiles={},this.tileCoords=[],n&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(r=function(t,e){var n=e.buffer/e.extent,r=t,i=nt(t,1,-1-n,n,0,-1,2,e),a=nt(t,1,1-n,2+n,0,-1,2,e);return(i||a)&&(r=nt(t,1,-n,1+n,0,-1,2,e)||[],i&&(r=ut(i,1).concat(r)),a&&(r=r.concat(ut(a,-1)))),r}(r,e)).length&&this.splitTile(r,0,0,0),n&&(r.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function vt(t,e,n){return 32*((1<<t)*n+e)+t}function _t(t,e){var n=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var r=this._geoJSONIndex.getTile(n.z,n.x,n.y);if(!r)return e(null,null);var i=new m(r.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}j.prototype.load=function(t){var e=this.options,n=e.log,r=e.minZoom,i=e.maxZoom,a=e.nodeSize;n&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";n&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[i+1]=new R(s,W,q,a,Float32Array),n&&console.timeEnd(o);for(var c=i;c>=r;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new R(s,W,q,a,Float32Array),n&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return n&&console.timeEnd(\"total time\"),this},j.prototype.getClusters=function(t,e){var n=((t[0]+180)%360+360)%360-180,r=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)n=-180,i=180;else if(n>i){var o=this.getClusters([n,r,180,a],e),s=this.getClusters([-180,r,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(H(n),V(a),H(i),V(r));u<h.length;u+=1){var d=l.points[h[u]];c.push(d.numPoints?B(d):this.points[d.index])}return c},j.prototype.getChildren=function(t){var e=this._getOriginId(t),n=this._getOriginZoom(t),r=\"No cluster with the specified id.\",i=this.trees[n];if(!i)throw new Error(r);var a=i.points[e];if(!a)throw new Error(r);for(var o=this.options.radius/(this.options.extent*Math.pow(2,n-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=i.points[c[l]];u.parentId===t&&s.push(u.numPoints?B(u):this.points[u.index])}if(0===s.length)throw new Error(r);return s},j.prototype.getLeaves=function(t,e,n){var r=[];return this._appendLeaves(r,t,e=e||10,n=n||0,0),r},j.prototype.getTile=function(t,e,n){var r=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.radius/a.extent,s=(n-o)/i,l=(n+1+o)/i,c={features:[]};return this._addTileFeatures(r.range((e-o)/i,s,(e+1+o)/i,l),r.points,e,n,i,c),0===e&&this._addTileFeatures(r.range(1-o/i,s,1,l),r.points,i,n,i,c),e===i-1&&this._addTileFeatures(r.range(0,s,o/i,l),r.points,-1,n,i,c),c.features.length?c:null},j.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var n=this.getChildren(t);if(e++,1!==n.length)break;t=n[0].properties.cluster_id}return e},j.prototype._appendLeaves=function(t,e,n,r,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=r?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,n,r,i):i<r?i++:t.push(s),t.length===n)break}return i},j.prototype._addTileFeatures=function(t,e,n,r,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-n)),Math.round(this.options.extent*(l.y*i-r))]],tags:c?Y(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),a.features.push(u)}},j.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},j.prototype._cluster=function(t,e){for(var n=[],r=this.options,i=r.reduce,a=r.radius/(r.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,a),u=s.numPoints||1,h=s.x*u,d=s.y*u,f=i&&u>1?this._map(s,!0):null,p=(o<<5)+(e+1)+this.points.length,m=0,g=c;m<g.length;m+=1){var y=l.points[g[m]];if(!(y.zoom<=e)){y.zoom=e;var v=y.numPoints||1;h+=y.x*v,d+=y.y*v,u+=v,y.parentId=p,i&&(f||(f=this._map(s,!0)),i(f,this._map(y)))}}1===u?n.push(s):(s.parentId=p,n.push(F(h/u,d/u,p,u,f)))}}return n},j.prototype._getOriginId=function(t){return t-this.points.length>>5},j.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},j.prototype._map=function(t,e){if(t.numPoints)return e?U({},t.properties):t.properties;var n=this.points[t.index].properties,r=this.options.map(n);return e&&r===n?U({},r):r},yt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},yt.prototype.splitTile=function(t,e,n,r,i,a,o){for(var s=[t,e,n,r],l=this.options,c=l.debug;s.length;){r=s.pop(),n=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=vt(e,n,r),d=this.tiles[h];if(!d&&(c>1&&console.time(\"creation\"),d=this.tiles[h]=pt(t,e,n,r,l),this.tileCoords.push({z:e,x:n,y:r}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,n,r,d.numFeatures,d.numPoints,d.numSimplified),console.timeEnd(\"creation\"));var f=\"z\"+e;this.stats[f]=(this.stats[f]||0)+1,this.total++}if(d.source=t,i){if(e===l.maxZoom||e===i)continue;var p=1<<i-e;if(n!==Math.floor(a/p)||r!==Math.floor(o/p))continue}else if(e===l.indexMaxZoom||d.numPoints<=l.indexMaxPoints)continue;if(d.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,y,v,_,b,x=.5*l.buffer/l.extent,w=.5-x,k=.5+x,M=1+x;m=g=y=v=null,_=nt(t,u,n-x,n+k,0,d.minX,d.maxX,l),b=nt(t,u,n+w,n+M,0,d.minX,d.maxX,l),t=null,_&&(m=nt(_,u,r-x,r+k,1,d.minY,d.maxY,l),g=nt(_,u,r+w,r+M,1,d.minY,d.maxY,l),_=null),b&&(y=nt(b,u,r-x,r+k,1,d.minY,d.maxY,l),v=nt(b,u,r+w,r+M,1,d.minY,d.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*n,2*r),s.push(g||[],e+1,2*n,2*r+1),s.push(y||[],e+1,2*n+1,2*r),s.push(v||[],e+1,2*n+1,2*r+1)}}},yt.prototype.getTile=function(t,e,n){var r=this.options,i=r.extent,a=r.debug;if(t<0||t>24)return null;var o=1<<t,s=vt(t,e=(e%o+o)%o,n);if(this.tiles[s])return dt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,n);for(var l,c=t,u=e,h=n;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[vt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,n),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?dt(this.tiles[s],i):null):null};var bt=function(e){function n(t,n,r,i){e.call(this,t,n,r,_t),i&&(this.loadGeoJSON=i)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},n.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var n=this._pendingCallback,r=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(r&&r.request&&r.request.collectResourceTiming)&&new t.RequestPerformance(r.request);this.loadGeoJSON(r,(function(a,o){if(a||!o)return n(a);if(\"object\"!=typeof o)return n(new Error(\"Input data given to '\"+r.source+\"' is not a valid GeoJSON object.\"));!function t(e,n){var r,i=e&&e.type;if(\"FeatureCollection\"===i)for(r=0;r<e.features.length;r++)t(e.features[r],n);else if(\"GeometryCollection\"===i)for(r=0;r<e.geometries.length;r++)t(e.geometries[r],n);else if(\"Feature\"===i)t(e.geometry,n);else if(\"Polygon\"===i)h(e.coordinates,n);else if(\"MultiPolygon\"===i)for(r=0;r<e.coordinates.length;r++)h(e.coordinates[r],n);return e}(o,!0);try{e._geoJSONIndex=r.cluster?new j(function(e){var n=e.superclusterOptions,r=e.clusterProperties;if(!r||!n)return n;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(r),c=0,u=l;c<u.length;c+=1){var h=u[c],d=r[h],f=d[0],p=t.createExpression(d[1]),m=t.createExpression(\"string\"==typeof f?[f,[\"accumulated\"],[\"get\",h]]:f);i[h]=p.value,a[h]=m.value}return n.map=function(t){s.properties=t;for(var e={},n=0,r=l;n<r.length;n+=1){var a=r[n];e[a]=i[a].evaluate(o,s)}return e},n.reduce=function(t,e){s.properties=e;for(var n=0,r=l;n<r.length;n+=1){var i=r[n];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},n}(r)).load(o.features):function(t,e){return new yt(t,e)}(o,r.geojsonVtOptions)}catch(a){return n(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[r.source]=JSON.parse(JSON.stringify(l)))}n(null,s)}))}},n.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},n.prototype.reloadTile=function(t,n){var r=this.loaded;return r&&r[t.uid]?e.prototype.reloadTile.call(this,t,n):this.loadTile(t,n)},n.prototype.loadGeoJSON=function(e,n){if(e.request)t.getJSON(e.request,n);else{if(\"string\"!=typeof e.data)return n(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return n(null,JSON.parse(e.data))}catch(t){return n(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},n.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},n.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},n.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},n.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},n}(l),xt=function(e){var n=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(n.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');n.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return xt.prototype.setReferrer=function(t,e){this.referrer=e},xt.prototype.setImages=function(t,e,n){for(var r in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][r];for(var a in i)i[a].availableImages=e}n()},xt.prototype.setLayers=function(t,e,n){this.getLayerIndex(t).replace(e),n()},xt.prototype.updateLayers=function(t,e,n){this.getLayerIndex(t).update(e.layers,e.removedIds),n()},xt.prototype.loadTile=function(t,e,n){this.getWorkerSource(t,e.type,e.source).loadTile(e,n)},xt.prototype.loadDEMTile=function(t,e,n){this.getDEMWorkerSource(t,e.source).loadTile(e,n)},xt.prototype.reloadTile=function(t,e,n){this.getWorkerSource(t,e.type,e.source).reloadTile(e,n)},xt.prototype.abortTile=function(t,e,n){this.getWorkerSource(t,e.type,e.source).abortTile(e,n)},xt.prototype.removeTile=function(t,e,n){this.getWorkerSource(t,e.type,e.source).removeTile(e,n)},xt.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},xt.prototype.removeSource=function(t,e,n){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var r=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==r.removeSource?r.removeSource(e,n):n()}},xt.prototype.loadWorkerSource=function(t,e,n){try{this.self.importScripts(e.url),n()}catch(t){n(t.toString())}},xt.prototype.syncRTLPluginState=function(e,n,r){try{t.plugin.setState(n);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();r(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){r(t.toString())}},xt.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},xt.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new r),e},xt.prototype.getWorkerSource=function(t,e,n){var r=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][n]||(this.workerSources[t][e][n]=new this.workerSourceTypes[e]({send:function(e,n,i){r.actor.send(e,n,i,t)}},this.getLayerIndex(t),this.getAvailableImages(t))),this.workerSources[t][e][n]},xt.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},xt.prototype.enforceCacheSizeLimit=function(e,n){t.enforceCacheSizeLimit(n)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new xt(t.window)),xt})),r(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!n(t)}function n(t){return\"undefined\"==typeof window||\"undefined\"==typeof document?\"not a browser\":Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,n=new Blob([\"\"],{type:\"text/javascript\"}),r=URL.createObjectURL(n);try{e=new Worker(r),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(r),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var n=e.getImageData(0,0,1,1);return n&&n.width===t.width}()?(void 0===r[n=t&&t.failIfMajorPerformanceCaveat]&&(r[n]=function(t){var n=function(t){var n=document.createElement(\"canvas\"),r=Object.create(e.webGLContextAttributes);return r.failIfMajorPerformanceCaveat=t,n.probablySupportsContext?n.probablySupportsContext(\"webgl\",r)||n.probablySupportsContext(\"experimental-webgl\",r):n.supportsContext?n.supportsContext(\"webgl\",r)||n.supportsContext(\"experimental-webgl\",r):n.getContext(\"webgl\",r)||n.getContext(\"experimental-webgl\",r)}(t);if(!n)return!1;var r=n.createShader(n.VERTEX_SHADER);return!(!r||n.isContextLost())&&(n.shaderSource(r,\"void main() {}\"),n.compileShader(r),!0===n.getShaderParameter(r,n.COMPILE_STATUS))}(n)),r[n]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var n}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=n);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),n={create:function(e,n,r){var i=t.window.document.createElement(e);return void 0!==n&&(i.className=n),r&&r.appendChild(i),i},createNS:function(e,n){return t.window.document.createElementNS(e,n)}},r=t.window.document.documentElement.style;function i(t){if(!r)return t[0];for(var e=0;e<t.length;e++)if(t[e]in r)return t[e];return t[0]}var a,o=i([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);n.disableDrag=function(){r&&o&&(a=r[o],r[o]=\"none\")},n.enableDrag=function(){r&&o&&(r[o]=a)};var s=i([\"transform\",\"WebkitTransform\"]);n.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}n.addEventListener=function(t,e,n,r){void 0===r&&(r={}),t.addEventListener(e,n,\"passive\"in r&&l?r:r.capture)},n.removeEventListener=function(t,e,n,r){void 0===r&&(r={}),t.removeEventListener(e,n,\"passive\"in r&&l?r:r.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}n.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},n.mousePos=function(e,n){var r=e.getBoundingClientRect();return new t.Point(n.clientX-r.left-e.clientLeft,n.clientY-r.top-e.clientTop)},n.touchPos=function(e,n){for(var r=e.getBoundingClientRect(),i=[],a=0;a<n.length;a++)i.push(new t.Point(n[a].clientX-r.left-e.clientLeft,n[a].clientY-r.top-e.clientTop));return i},n.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},n.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var d=function(e){function n(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.isLoaded=function(){return this.loaded},n.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,n=this.requestors;e<n.length;e+=1){var r=n[e];this._notify(r.ids,r.callback)}this.requestors=[]}},n.prototype.getImage=function(t){return this.images[t]},n.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},n.prototype._validate=function(e,n){var r=!0;return this._validateStretch(n.stretchX,n.data&&n.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),r=!1),this._validateStretch(n.stretchY,n.data&&n.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),r=!1),this._validateContent(n.content,n)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),r=!1),r},n.prototype._validateStretch=function(t,e){if(!t)return!0;for(var n=0,r=0,i=t;r<i.length;r+=1){var a=i[r];if(a[0]<n||a[1]<a[0]||e<a[1])return!1;n=a[1]}return!0},n.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},n.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},n.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},n.prototype.listImages=function(){return Object.keys(this.images)},n.prototype.getImages=function(t,e){var n=!0;if(!this.isLoaded())for(var r=0,i=t;r<i.length;r+=1)this.images[i[r]]||(n=!1);this.isLoaded()||n?this._notify(t,e):this.requestors.push({ids:t,callback:e})},n.prototype._notify=function(e,n){for(var r={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?r[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}n(null,r)},n.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},n.prototype.getPattern=function(e){var n=this.patterns[e],r=this.getImage(e);if(!r)return null;if(n&&n.position.version===r.version)return n.position;if(n)n.position.version=r.version;else{var i={w:r.data.width+2,h:r.data.height+2,x:0,y:0},a=new t.ImagePosition(i,r);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},n.prototype.bind=function(e){var n=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,n.RGBA),this.atlasTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)},n.prototype._updatePatternAtlas=function(){var e=[];for(var n in this.patterns)e.push(this.patterns[n].bin);var r=t.potpack(e),i=r.w,a=r.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,d=h.width,f=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:d,height:f}),t.RGBAImage.copy(h,o,{x:0,y:f-1},{x:c,y:u-1},{width:d,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+f},{width:d,height:1}),t.RGBAImage.copy(h,o,{x:d-1,y:0},{x:c-1,y:u},{width:1,height:f}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+d,y:u},{width:1,height:f})}this.dirty=!0},n.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},n.prototype.dispatchRenderCallbacks=function(t){for(var e=0,n=t;e<n.length;e+=1){var r=n[e];if(!this.callbackDispatchedThisFrame[r]){this.callbackDispatchedThisFrame[r]=!0;var i=this.images[r];h(i)&&this.updateImage(r,i)}}},n}(t.Evented),f=g,p=g,m=1e20;function g(t,e,n,r,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=r||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=n||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,n,r,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<n;l++)r[l]=t[l*e+s];for(v(r,i,a,o,n),l=0;l<n;l++)t[l*e+s]=i[l]}for(l=0;l<n;l++){for(s=0;s<e;s++)r[s]=t[l*e+s];for(v(r,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function v(t,e,n,r,i){n[0]=0,r[0]=-m,r[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[n[o]]+n[o]*n[o]))/(2*a-2*n[o]);s<=r[o];)o--,s=(t[a]+a*a-(t[n[o]]+n[o]*n[o]))/(2*a-2*n[o]);n[++o]=a,r[o]=s,r[o+1]=+m}for(a=0,o=0;a<i;a++){for(;r[o+1]<a;)o++;e[a]=(a-n[o])*(a-n[o])+t[n[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),n=new Uint8ClampedArray(this.size*this.size),r=0;r<this.size*this.size;r++){var i=e.data[4*r+3]/255;this.gridOuter[r]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[r]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),r=0;r<this.size*this.size;r++)n[r]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[r]-this.gridInner[r])/this.radius+this.cutoff))));return n},f.default=p;var _=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};_.prototype.setURL=function(t){this.url=t},_.prototype.getGlyphs=function(e,n){var r=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1)i.push({stack:a,id:s[o]});t.asyncAll(i,(function(t,e){var n=t.stack,i=t.id,a=r.entries[n];a||(a=r.entries[n]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=r._tinySDF(a,n,i))return a.glyphs[i]=o,void e(null,{stack:n,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:n,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],_.loadGlyphRange(n,s,r.url,r.requestManager,(function(t,e){if(e){for(var n in e)r._doesCharSupportLocalGlyph(+n)||(a.glyphs[+n]=e[+n]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,r){t?e(t):r&&e(null,{stack:n,id:i,glyph:r[i]||null})}))}}else e(null,{stack:n,id:i,glyph:o})}),(function(t,e){if(t)n(t);else if(e){for(var r={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(r[s]||(r[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}n(null,r)}}))},_.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},_.prototype._tinySDF=function(e,n,r){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(r)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(n)?o=\"900\":/medium/i.test(n)?o=\"500\":/light/i.test(n)&&(o=\"200\"),a=e.tinySDF=new _.TinySDF(24,3,8,.25,i,o)}return{id:r,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(r))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},_.loadGlyphRange=function(e,n,r,i,a){var o=256*n,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(r).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,n){if(e)a(e);else if(n){for(var r={},i=0,o=t.parseGlyphPBF(n);i<o.length;i+=1){var s=o[i];r[s.id]=s}a(null,r)}}))},_.TinySDF=f;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,n){return t.sphericalToCartesian(e.expression.evaluate(n))},b.prototype.interpolate=function(e,n,r){return{x:t.number(e.x,n.x,r),y:t.number(e.y,n.y,r),z:t.number(e.z,n.z,r)}};var x=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function n(n){e.call(this),this._transitionable=new t.Transitionable(x),this.setLight(n),this._transitioning=this._transitionable.untransitioned()}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.getLight=function(){return this._transitionable.serialize()},n.prototype.setLight=function(e,n){if(void 0===n&&(n={}),!this._validate(t.validateLight,e,n))for(var r in e){var i=e[r];t.endsWith(r,\"-transition\")?this._transitionable.setTransition(r.slice(0,-\"-transition\".length),i):this._transitionable.setValue(r,i)}},n.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},n.prototype.hasTransition=function(){return this._transitioning.hasTransition()},n.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},n.prototype._validate=function(e,n,r){return(!r||!1!==r.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:n,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},n}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var n=t.join(\",\")+String(e);return this.dashEntry[n]||(this.dashEntry[n]=this.addDash(t,e)),this.dashEntry[n]},k.prototype.getDashRanges=function(t,e,n){var r=[],i=t.length%2==1?-t[t.length-1]*n:0,a=t[0]*n,o=!0;r.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];r.push({left:i=s*n,right:a=(s+=c)*n,isDash:o=!o,zeroLength:0===c})}return r},k.prototype.addRoundDash=function(t,e,n){for(var r=e/2,i=-n;i<=n;i++)for(var a=this.width*(this.nextRow+n+i),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),d=void 0,f=i/n*(r+1);if(s.isDash){var p=r-Math.abs(f);d=Math.sqrt(h*h+p*p)}else d=r-Math.sqrt(h*h+f*f);this.data[a+l]=Math.max(0,Math.min(255,d+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var n=t[e],r=t[e+1];n.zeroLength?t.splice(e,1):r&&r.isDash===n.isDash&&(r.left=n.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),d=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?d:-d)+128))}},k.prototype.addDash=function(e,n){var r=n?7:0,i=2*r+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);n?this.addRoundDash(l,s,r):this.addRegularDash(l)}var c={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var M=function e(n,r){this.workerPool=n,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=new e.Actor(i[a],r,this.id);o.name=\"Worker \"+a,this.actors.push(o)}};function T(e,n,r){var i=function(i,a){if(i)return r(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=n.canonicalizeTileset(o,e.url),r(null,o)}};return e.url?t.getJSON(n.transformRequest(n.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}M.prototype.broadcast=function(e,n,r){t.asyncAll(this.actors,(function(t,r){t.send(e,n,r)}),r=r||function(){})},M.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},M.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},M.Actor=t.Actor;var S=function(e,n,r){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=n||0,this.maxzoom=r||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var n=Math.pow(2,e.z),r=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*n),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*n),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*n),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*n);return e.x>=r&&e.x<a&&e.y>=i&&e.y<o};var A=function(e){function n(n,r,i,a){if(e.call(this),this.id=n,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(r,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},r),this._collectResourceTiming=r.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=T(this._options,this.map._requestManager,(function(n,r){e._tileJSONRequest=null,e._loaded=!0,n?e.fire(new t.ErrorEvent(n)):r&&(t.extend(e,r),r.bounds&&(e.tileBounds=new S(r.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(r.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(r.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},n.prototype.loaded=function(){return this._loaded},n.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},n.prototype.onAdd=function(t){this.map=t,this.load()},n.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},n.prototype.serialize=function(){return t.extend({},this._options)},n.prototype.loadTile=function(e,n){var r=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(r,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(r,i){return delete e.request,e.aborted?n(null):r&&404!==r.status?n(r):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),n(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=n:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},n.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},n.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},n.prototype.hasTransition=function(){return!1},n}(t.Evented),L=function(e){function n(n,r,i,a){e.call(this),this.id=n,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},r),t.extend(this,t.pick(r,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=T(this._options,this.map._requestManager,(function(n,r){e._tileJSONRequest=null,e._loaded=!0,n?e.fire(new t.ErrorEvent(n)):r&&(t.extend(e,r),r.bounds&&(e.tileBounds=new S(r.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(r.tiles),t.postMapLoadEvent(r.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},n.prototype.loaded=function(){return this._loaded},n.prototype.onAdd=function(t){this.map=t,this.load()},n.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},n.prototype.serialize=function(){return t.extend({},this._options)},n.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},n.prototype.loadTile=function(e,n){var r=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",n(null);else if(i)e.state=\"errored\",n(i);else if(a){r.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=r.map.painter.context,s=o.gl;e.texture=r.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(r.dispatcher),n(null)}}))},n.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},n.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},n.prototype.hasTransition=function(){return!1},n}(t.Evented),C=function(e){function n(n,r,i,a){e.call(this,n,r,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\"}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},n.prototype.loadTile=function(e,n){var r=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,r){t&&(e.state=\"errored\",n(t)),r&&(e.dem=r,e.needsHillshadePrepare=!0,e.state=\"loaded\",n(null))}e.request=t.getImage(this.map._requestManager.transformRequest(r,t.ResourceType.Tile),(function(r,a){if(delete e.request,e.aborted)e.state=\"unloaded\",n(null);else if(r)e.state=\"errored\",n(r);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}).bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},n.prototype._getNeighboringTiles=function(e){var n=e.canonical,r=Math.pow(2,n.z),i=(n.x-1+r)%r,a=0===n.x?e.wrap-1:e.wrap,o=(n.x+1+r)%r,s=n.x+1===r?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,n.z,i,n.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,n.z,o,n.y).key]={backfilled:!1},n.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,n.z,i,n.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,n.z,n.x,n.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,n.z,o,n.y-1).key]={backfilled:!1}),n.y+1<r&&(l[new t.OverscaledTileID(e.overscaledZ,a,n.z,i,n.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,n.z,n.x,n.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,n.z,o,n.y+1).key]={backfilled:!1}),l},n.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},n}(L),E=function(e){function n(n,r,i,a){e.call(this),this.id=n,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=r.data,this._options=t.extend({},r),this._collectResourceTiming=r.collectResourceTiming,this._resourceTiming=[],void 0!==r.maxzoom&&(this.maxzoom=r.maxzoom),r.type&&(this.type=r.type),r.attribution&&(this.attribution=r.attribution),this.promoteId=r.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:r.cluster||!1,geojsonVtOptions:{buffer:(void 0!==r.buffer?r.buffer:128)*o,tolerance:(void 0!==r.tolerance?r.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:r.lineMetrics||!1,generateId:r.generateId||!1},superclusterOptions:{maxZoom:void 0!==r.clusterMaxZoom?Math.min(r.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(r.clusterRadius||50)*o,log:!1,generateId:r.generateId||!1},clusterProperties:r.clusterProperties},r.workerOptions)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(n){if(n)e.fire(new t.ErrorEvent(n));else{var r={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(r.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",r))}}))},n.prototype.onAdd=function(t){this.map=t,this.load()},n.prototype.setData=function(e){var n=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)n.fire(new t.ErrorEvent(e));else{var r={dataType:\"source\",sourceDataType:\"content\"};n._collectResourceTiming&&n._resourceTiming&&n._resourceTiming.length>0&&(r.resourceTiming=n._resourceTiming,n._resourceTiming=[]),n.fire(new t.Event(\"data\",r))}})),this},n.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},n.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},n.prototype.getClusterLeaves=function(t,e,n,r){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:n},r),this},n.prototype._updateWorkerData=function(e){var n=this;this._loaded=!1;var r=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(r.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",r,(function(t,i){n._removed||i&&i.abandoned||(n._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[n.id]&&(n._resourceTiming=i.resourceTiming[n.id].slice(0)),n.actor.send(n.type+\".coalesce\",{source:r.source},null),e(t))}))},n.prototype.loaded=function(){return this._loaded},n.prototype.loadTile=function(e,n){var r=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(i,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?n(null):t?n(t):(e.loadVectorData(a,r.map.painter,\"reloadTile\"===i),n(null))}))},n.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},n.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},n.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},n.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},n.prototype.hasTransition=function(){return!1},n}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),D=function(e){function n(t,n,r,i){e.call(this),this.id=t,this.dispatcher=r,this.coordinates=n.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=n}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.load=function(e,n){var r=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){r._loaded=!0,i?r.fire(new t.ErrorEvent(i)):a&&(r.image=a,e&&(r.coordinates=e),n&&n(),r._finishLoading())}))},n.prototype.loaded=function(){return this._loaded},n.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},n.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},n.prototype.onAdd=function(t){this.map=t,this.load()},n.prototype.setCoordinates=function(e){var n=this;this.coordinates=e;var r=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var n=1/0,r=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];n=Math.min(n,l.x),r=Math.min(r,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=Math.max(i-n,a-r),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((n+i)/2*h),Math.floor((r+a)/2*h))}(r),this.minzoom=this.maxzoom=this.tileID.z;var i=r.map((function(t){return n.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},n.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,n=e.gl;for(var r in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,n.RGBA),this.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[r];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},n.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},n.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},n.prototype.hasTransition=function(){return!1},n}(t.Evented),I=function(e){function n(t,n,r,i){e.call(this,t,n,r,i),this.roundZoom=!0,this.type=\"video\",this.options=n}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.load=function(){var e=this;this._loaded=!1;var n=this.options;this.urls=[];for(var r=0,i=n.urls;r<i.length;r+=1)this.urls.push(this.map._requestManager.transformRequest(i[r],t.ResourceType.Source).url);t.getVideo(this.urls,(function(n,r){e._loaded=!0,n?e.fire(new t.ErrorEvent(n)):r&&(e.video=r,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},n.prototype.pause=function(){this.video&&this.video.pause()},n.prototype.play=function(){this.video&&this.video.play()},n.prototype.seek=function(e){if(this.video){var n=this.video.seekable;e<n.start(0)||e>n.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+n.start(0)+\" and \"+n.end(0)+\"-second mark.\"))):this.video.currentTime=e}},n.prototype.getVideo=function(){return this.video},n.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},n.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,n=e.gl;for(var r in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE),n.texSubImage2D(n.TEXTURE_2D,0,0,0,n.RGBA,n.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,n.RGBA),this.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[r];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},n.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},n.prototype.hasTransition=function(){return this.video&&!this.video.paused},n}(D),P=function(e){function n(n,r,i,a){e.call(this,n,r,i,a),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+n,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+n,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+n,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+n,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+n,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},n.prototype.getCanvas=function(){return this.canvas},n.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},n.prototype.onRemove=function(){this.pause()},n.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var n=this.map.painter.context,r=n.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=n.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(n,this.canvas,r.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},n.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},n.prototype.hasTransition=function(){return this._playing},n.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var n=e[t];if(isNaN(n)||n<=0)return!0}return!1},n}(D),R={vector:A,raster:L,\"raster-dem\":C,geojson:E,video:I,image:D,canvas:P};function z(e,n){var r=t.identity([]);return t.translate(r,r,[1,1,0]),t.scale(r,r,[.5*e.width,.5*e.height,1]),t.multiply(r,r,e.calculatePosMatrix(n.toUnwrapped()))}function j(t,e,n,r,i,a){var o=function(t,e,n){if(t)for(var r=0,i=t;r<i.length;r+=1){var a=e[i[r]];if(a&&a.source===n&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===n&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(r,s,o);l.sort(F);for(var c=[],u=0,h=l;u<h.length;u+=1){var d=h[u];c.push({wrappedTileID:d.tileID.wrapped().key,queryResults:d.tile.queryRenderedFeatures(e,n,t._state,d.queryGeometry,d.cameraQueryGeometry,d.scale,i,a,s,z(t.transform,d.tileID))})}var f=function(t){for(var e={},n={},r=0,i=t;r<i.length;r+=1){var a=i[r],o=a.queryResults,s=a.wrappedTileID,l=n[s]=n[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},d=e[c]=e[c]||[],f=0,p=u;f<p.length;f+=1){var m=p[f];h[m.featureIndex]||(h[m.featureIndex]=!0,d.push(m))}}return e}(c);for(var p in f)f[p].forEach((function(e){var n=e.feature,r=t.getFeatureState(n.layer[\"source-layer\"],n.id);n.source=n.layer.source,n.layer[\"source-layer\"]&&(n.sourceLayer=n.layer[\"source-layer\"]),n.state=r}));return f}function F(t,e){var n=t.tileID,r=e.tileID;return n.overscaledZ-r.overscaledZ||n.canonical.y-r.canonical.y||n.wrap-r.wrap||n.canonical.x-r.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,n=this.data[t];e<n.length;e+=1){var r=n[e];r.timeout&&clearTimeout(r.timeout),this.onRemove(r.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,n){var r=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==n&&(a.timeout=setTimeout((function(){r.remove(t,a)}),n)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var n=t.wrapped().key,r=void 0===e?0:this.data[n].indexOf(e),i=this.data[n][r];return this.data[n].splice(r,1),i.timeout&&clearTimeout(i.timeout),0===this.data[n].length&&delete this.data[n],this.onRemove(i.value),this.order.splice(this.order.indexOf(n),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var n in this.data)for(var r=0,i=this.data[n];r<i.length;r+=1){var a=i[r];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var B=function(t,e,n){this.context=t;var r=t.gl;this.buffer=r.createBuffer(),this.dynamicDraw=Boolean(n),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),r.bufferData(r.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?r.DYNAMIC_DRAW:r.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};B.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},B.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},B.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var Y={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,n,r){this.length=e.length,this.attributes=n,this.itemSize=e.bytesPerElement,this.dynamicDraw=r,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var n=0;n<this.attributes.length;n++){var r=e.attributes[this.attributes[n].name];void 0!==r&&t.enableVertexAttribArray(r)}},H.prototype.setVertexAttribPointers=function(t,e,n){for(var r=0;r<this.attributes.length;r++){var i=this.attributes[r],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[Y[i.type]],!1,this.itemSize,i.offset+this.itemSize*(n||0))}},H.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var V=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};V.prototype.get=function(){return this.current},V.prototype.set=function(t){},V.prototype.getDefault=function(){return this.default},V.prototype.setDefault=function(){this.set(this.default)};var U=function(e){function n(){e.apply(this,arguments)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.getDefault=function(){return t.Color.transparent},n.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},n}(V),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(V),q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(V),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(V),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(V),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(V),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(V),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(V),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(V),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(V),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(V),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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t.Color.transparent},n.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},n}(V),at=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(V),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(V),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(V),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(V),ct=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(V),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(V),ht=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(V),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(V),ft=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(V),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(V),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(V),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(V),yt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(V),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(V),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(V),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(V),xt=function(t){function e(e,n){t.call(this,e),this.context=e,this.parent=n}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(V),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(xt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(xt),Mt=function(t,e,n,r){this.context=t,this.width=e,this.height=n;var i=this.framebuffer=t.gl.createFramebuffer();this.colorAttachment=new wt(t,i),r&&(this.depthAttachment=new kt(t,i))};Mt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var n=this.depthAttachment.get();n&&t.deleteRenderbuffer(n)}t.deleteFramebuffer(this.framebuffer)};var Tt=function(t,e,n){this.func=t,this.mask=e,this.range=n};Tt.ReadOnly=!1,Tt.ReadWrite=!0,Tt.disabled=new Tt(519,Tt.ReadOnly,[0,1]);var St=function(t,e,n,r,i,a){this.test=t,this.ref=e,this.mask=n,this.fail=r,this.depthFail=i,this.pass=a};St.disabled=new St({func:519,mask:0},0,0,7680,7680,7680);var At=function(t,e,n){this.blendFunction=t,this.blendColor=e,this.mask=n};At.disabled=new At(At.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),At.unblended=new At(At.Replace,t.Color.transparent,[!0,!0,!0,!0]),At.alphaBlended=new At([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Lt=function(t,e,n){this.enable=t,this.mode=e,this.frontFace=n};Lt.disabled=new Lt(!1,1029,2305),Lt.backCCW=new Lt(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new U(this),this.clearDepth=new W(this),this.clearStencil=new q(this),this.colorMask=new G(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new $(this),this.depthRange=new Q(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new nt(this),this.blendFunc=new rt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new dt(this),this.bindRenderbuffer=new ft(this),this.bindTexture=new pt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new yt(this),this.pixelStoreUnpack=new vt(this),this.pixelStoreUnpackPremultiplyAlpha=new _t(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new B(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,n){return new H(this,t,e,n)},Ct.prototype.createRenderbuffer=function(t,e,n){var r=this.gl,i=r.createRenderbuffer();return this.bindRenderbuffer.set(i),r.renderbufferStorage(r.RENDERBUFFER,t,e,n),this.bindRenderbuffer.set(null),i},Ct.prototype.createFramebuffer=function(t,e,n){return new Mt(this,t,e,n)},Ct.prototype.clear=function(t){var e=t.color,n=t.depth,r=this.gl,i=0;e&&(i|=r.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==n&&(i|=r.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(n),this.depthMask.set(!0)),r.clear(i)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,At.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Et=function(e){function n(n,r,i){var a=this;e.call(this),this.id=n,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,n,r,i){var a=new R[n.type](e,n,r,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(n,r,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},n.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},n.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},n.prototype.getSource=function(){return this._source},n.prototype.pause=function(){this._paused=!0},n.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},n.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},n.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},n.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},n.prototype.serialize=function(){return this._source.serialize()},n.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var n=this._tiles[e];n.upload(t),n.prepare(this.map.style.imageManager)}},n.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Ot).map((function(t){return t.key}))},n.prototype.getRenderableIds=function(e){var n=this,r=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&r.push(this._tiles[i]);return e?r.sort((function(e,r){var i=e.tileID,a=r.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(n.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(n.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):r.map((function(t){return t.tileID})).sort(Ot).map((function(t){return t.key}))},n.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},n.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},n.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},n.prototype._reloadTile=function(t,e){var n=this._tiles[t];n&&(\"loading\"!==n.state&&(n.state=e),this._loadTile(n,this._tileLoaded.bind(this,n,t,e)))},n.prototype._tileLoaded=function(e,n,r,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===r&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(n,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},n.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),n=0;n<e.length;n++){var r=e[n];if(t.neighboringTiles&&t.neighboringTiles[r]){var i=this.getTileByID(r);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var n=e.tileID.canonical.x-t.tileID.canonical.x,r=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===n&&0===r||Math.abs(r)>1||(Math.abs(n)>1&&(1===Math.abs(n+i)?n+=i:1===Math.abs(n-i)&&(n-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,n,r),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},n.prototype.getTile=function(t){return this.getTileByID(t.key)},n.prototype.getTileByID=function(t){return this._tiles[t]},n.prototype._retainLoadedChildren=function(t,e,n,r){for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>n)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){r[o.key]=o;break}}}},n.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var n=this._loadedParentTiles[t.key];return n&&n.tileID.overscaledZ>=e?n:null}for(var r=t.overscaledZ-1;r>=e;r--){var i=t.scaledTo(r),a=this._getLoadedTile(i);if(a)return a}},n.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},n.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,n=Math.ceil(t.height/this._source.tileSize)+1,r=Math.floor(e*n*5),i=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(i)},n.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var n={};for(var r in this._tiles){var i=this._tiles[r];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i}for(var a in this._tiles=n,this._timers)clearTimeout(this._timers[a]),delete this._timers[a];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},n.prototype.update=function(e){var r=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return r._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-n.maxOverzooming,this._source.minzoom),s=Math.max(a+n.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var c={},u={},h=0,d=Object.keys(l);h<d.length;h+=1){var f=d[h],p=l[f],m=this._tiles[f];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(p,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[f]=p}}for(var y in this._retainLoadedChildren(u,a,s,l),c)l[y]||(this._coveredTiles[y]=!0,l[y]=c[y])}for(var v in l)this._tiles[v].clearFadeHold();for(var _=0,b=t.keysDifference(this._tiles,l);_<b.length;_+=1){var x=b[_],w=this._tiles[x];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(x)}this._updateLoadedParentTileCache()}},n.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},n.prototype._updateRetainedTiles=function(t,e){for(var r={},i={},a=Math.max(e-n.maxOverzooming,this._source.minzoom),o=Math.max(e+n.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);r[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,r);for(var d=0,f=t;d<f.length;d+=1){var p=f[d],m=this._tiles[p.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=p.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){r[g.key]=g;continue}}else{var v=p.children(this._source.maxzoom);if(r[v[0].key]&&r[v[1].key]&&r[v[2].key]&&r[v[3].key])continue}for(var _=m.wasRequested(),b=p.overscaledZ-1;b>=a;--b){var x=p.scaledTo(b);if(i[x.key])break;if(i[x.key]=!0,!(m=this.getTile(x))&&_&&(m=this._addTile(x)),m&&(r[x.key]=x,_=m.wasRequested(),m.hasData()))break}}}return r},n.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],n=void 0,r=this._tiles[t].tileID;r.overscaledZ>0;){if(r.key in this._loadedParentTiles){n=this._loadedParentTiles[r.key];break}e.push(r.key);var i=r.scaledTo(r.overscaledZ-1);if(n=this._getLoadedTile(i))break;r=i}for(var a=0,o=e;a<o.length;a+=1)this._loadedParentTiles[o[a]]=n}},n.prototype._addTile=function(e){var n=this._tiles[e.key];if(n)return n;(n=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,n),n.tileID=e,this._state.initializeTileState(n,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,n)));var r=Boolean(n);return r||(n=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(n,this._tileLoaded.bind(this,n,e.key,n.state))),n?(n.uses++,this._tiles[e.key]=n,r||this._source.fire(new t.Event(\"dataloading\",{tile:n,coord:n.tileID,dataType:\"source\"})),n):null},n.prototype._setTileReloadTimer=function(t,e){var n=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((function(){n._reloadTile(t,\"expired\"),delete n._timers[t]}),r))},n.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},n.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},n.prototype.tilesIn=function(e,n,r){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=r?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,d=1/0,f=-1/0,p=-1/0,m=0,g=c;m<g.length;m+=1){var y=g[m];h=Math.min(h,y.x),d=Math.min(d,y.y),f=Math.max(f,y.x),p=Math.max(p,y.y)}for(var v=function(e){var r=i._tiles[u[e]];if(!r.holdingForFade()){var s=r.tileID,m=Math.pow(2,o.zoom-r.tileID.overscaledZ),g=n*r.queryPadding*t.EXTENT/r.tileSize/m,y=[s.getTilePoint(new t.MercatorCoordinate(h,d)),s.getTilePoint(new t.MercatorCoordinate(f,p))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var v=l.map((function(t){return s.getTilePoint(t)})),_=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:r,tileID:s,queryGeometry:v,cameraQueryGeometry:_,scale:m})}}},_=0;_<u.length;_++)v(_);return a},n.prototype.getVisibleCoordinates=function(t){for(var e=this,n=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),r=0,i=n;r<i.length;r+=1){var a=i[r];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return n},n.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var n=this._tiles[e];if(void 0!==n.fadeEndTime&&n.fadeEndTime>=t.browser.now())return!0}return!1},n.prototype.setFeatureState=function(t,e,n){this._state.updateState(t=t||\"_geojsonTileLayer\",e,n)},n.prototype.removeFeatureState=function(t,e,n){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,n)},n.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},n.prototype.setDependencies=function(t,e,n){var r=this._tiles[t];r&&r.setDependencies(e,n)},n.prototype.reloadTilesForDependencies=function(t,e){for(var n in this._tiles)this._tiles[n].hasDependency(t,e)&&this._reloadTile(n,\"reloading\");this._cache.filter((function(n){return!n.hasDependency(t,e)}))},n}(t.Evented);function Ot(t,e){var n=Math.abs(2*t.wrap)-+(t.wrap<0),r=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||r-n||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function It(){return new t.window.Worker(qi.workerUrl)}Et.maxOverzooming=10,Et.maxUnderzooming=3;var Pt=\"mapboxgl_preloaded_worker_pool\",Rt=function(){this.active={}};Rt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Rt.workerCount;)this.workers.push(new It);return this.active[t]=!0,this.workers.slice()},Rt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Rt.prototype.isPreloaded=function(){return!!this.active[Pt]},Rt.prototype.numActive=function(){return Object.keys(this.active).length};var zt,jt=Math.floor(t.browser.hardwareConcurrency/2);function Ft(){return zt||(zt=new Rt),zt}function Nt(e,n){var r={};for(var i in e)\"ref\"!==i&&(r[i]=e[i]);return t.refProperties.forEach((function(t){t in n&&(r[t]=n[t])})),r}function Bt(t){t=t.slice();for(var e=Object.create(null),n=0;n<t.length;n++)e[t[n].id]=t[n];for(var r=0;r<t.length;r++)\"ref\"in t[r]&&(t[r]=Nt(t[r],e[t[r].ref]));return t}Rt.workerCount=Math.max(Math.min(jt,6),1);var Yt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,n){n.push({command:Yt.addSource,args:[t,e[t]]})}function Vt(t,e,n){e.push({command:Yt.removeSource,args:[t]}),n[t]=!0}function Ut(t,e,n,r){Vt(t,n,r),Ht(t,e,n)}function Wt(e,n,r){var i;for(i in e[r])if(e[r].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[r][i],n[r][i]))return!1;for(i in n[r])if(n[r].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[r][i],n[r][i]))return!1;return!0}function qt(e,n,r,i,a,o){var s;for(s in n=n||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],n[s])||r.push({command:o,args:[i,s,n[s],a]}));for(s in n)n.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],n[s])||r.push({command:o,args:[i,s,n[s],a]}))}function Gt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}var Zt=function(t,e){this.reset(t,e)};Zt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var n=1;n<this.points.length;n++)this._distances[n]=this._distances[n-1]+this.points[n].dist(this.points[n-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Zt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var n=1,r=this._distances[n],i=e*this.paddedLength+this.padding;r<i&&n<this._distances.length;)r=this._distances[++n];var a=n-1,o=this._distances[a],s=r-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[n].mult(l))};var Jt=function(t,e,n){var r=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/n),this.yCellCount=Math.ceil(e/n);for(var a=0;a<this.xCellCount*this.yCellCount;a++)r.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,n,r,i,a){var o=t.create();return n?(t.scale(o,o,[1/a,1/a,1]),r||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,n,r,i,a){if(n){var o=t.clone(e);return t.scale(o,o,[a,a,1]),r||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function Qt(e,n){var r=[e.x,e.y,0,1];ue(r,r,n);var i=r[3];return{point:new t.Point(r[0]/i,r[1]/i),signedDistanceFromCamera:i}}function te(t,e){return.5+t/e*.5}function ee(t,e){var n=t[0]/t[3],r=t[1]/t[3];return n>=-e[0]&&n<=e[0]&&r>=-e[1]&&r<=e[1]}function ne(e,n,r,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,r.transform.zoom),h=[256/r.width*2+1,256/r.height*2+1],d=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;d.clear();for(var f=e.lineVertexArray,p=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=r.transform.width/r.transform.height,g=!1,y=0;y<p.length;y++){var v=p.get(y);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!g)ce(v.numGlyphs,d);else{g=!1;var _=[v.anchorX,v.anchorY,0,1];if(t.transformMat4(_,_,n),ee(_,h)){var b=te(r.transform.cameraToCenterDistance,_[3]),x=t.evaluateSizeForFeature(c,u,v),w=s?x/b:x*b,k=new t.Point(v.anchorX,v.anchorY),M=Qt(k,a).point,T={},S=ae(v,w,!1,l,n,a,o,e.glyphOffsetArray,f,d,M,k,T,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&ae(v,w,!0,l,n,a,o,e.glyphOffsetArray,f,d,M,k,T,m).notEnoughRoom)&&ce(v.numGlyphs,d)}else ce(v.numGlyphs,d)}}i?e.text.dynamicLayoutVertexBuffer.updateData(d):e.icon.dynamicLayoutVertexBuffer.updateData(d)}function re(t,e,n,r,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,d=s.lineStartIndex,f=s.lineStartIndex+s.lineLength,p=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(h-1),g=se(t*p,n,r,i,a,o,s.segment,d,f,l,c,u);if(!g)return null;var y=se(t*m,n,r,i,a,o,s.segment,d,f,l,c,u);return y?{first:g,last:y}:null}function ie(e,n,r,i){return e===t.WritingMode.horizontal&&Math.abs(r.y-n.y)>Math.abs(r.x-n.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?n.y<r.y:n.x>r.x)?{needsFlipping:!0}:null}function ae(e,n,r,i,a,o,s,l,c,u,h,d,f,p){var m,g=n/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var _=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,x=e.lineStartIndex+e.lineLength,w=re(g,l,y,v,r,h,d,e,c,o,f);if(!w)return{notEnoughRoom:!0};var k=Qt(w.first.point,s).point,M=Qt(w.last.point,s).point;if(i&&!r){var T=ie(e.writingMode,k,M,p);if(T)return T}m=[w.first];for(var S=e.glyphStartIndex+1;S<_-1;S++)m.push(se(g*l.getoffsetX(S),y,v,r,h,d,e.segment,b,x,c,o,f));m.push(w.last)}else{if(i&&!r){var A=Qt(d,a).point,L=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(L),c.gety(L)),E=Qt(C,a),O=E.signedDistanceFromCamera>0?E.point:oe(d,C,A,1,a),D=ie(e.writingMode,A,O,p);if(D)return D}var I=se(g*l.getoffsetX(e.glyphStartIndex),y,v,r,h,d,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,f);if(!I)return{notEnoughRoom:!0};m=[I]}for(var P=0,R=m;P<R.length;P+=1){var z=R[P];t.addDynamicAttributes(u,z.point,z.angle)}return{}}function oe(t,e,n,r,i){var a=Qt(t.add(t.sub(e)._unit()),i).point,o=n.sub(a);return n.add(o._mult(r/o.mag()))}function se(e,n,r,i,a,o,s,l,c,u,h,d){var f=i?e-n:e+n,p=f>0?1:-1,m=0;i&&(p*=-1,m=Math.PI),p<0&&(m+=Math.PI);for(var g=p>0?l+s:l+s+1,y=a,v=a,_=0,b=0,x=Math.abs(f),w=[];_+b<=x;){if((g+=p)<l||g>=c)return null;if(v=y,w.push(y),void 0===(y=d[g])){var k=new t.Point(u.getx(g),u.gety(g)),M=Qt(k,h);if(M.signedDistanceFromCamera>0)y=d[g]=M.point;else{var T=g-p;y=oe(0===_?o:new t.Point(u.getx(T),u.gety(T)),k,v,x-_+1,h)}}_+=b,b=v.dist(y)}var S=(x-_)/b,A=y.sub(v),L=A.mult(S)._add(v);L._add(A._unit()._perp()._mult(r*p));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(L),{point:L,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,n,r,i){this._forEachCell(e,n,r,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(n),this.bboxes.push(r),this.bboxes.push(i)},Jt.prototype.insertCircle=function(t,e,n,r){this._forEachCell(e-r,n-r,e+r,n+r,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(n),this.circles.push(r)},Jt.prototype._insertBoxCell=function(t,e,n,r,i,a){this.boxCells[i].push(a)},Jt.prototype._insertCircleCell=function(t,e,n,r,i,a){this.circleCells[i].push(a)},Jt.prototype._query=function(t,e,n,r,i,a){if(n<0||t>this.width||r<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=n&&this.height<=r){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return a?o.filter(a):o}return this._forEachCell(t,e,n,r,this._queryCell,o,{hitTest:i,seenUids:{box:{},circle:{}}},a),i?o.length>0:o},Jt.prototype._queryCircle=function(t,e,n,r,i){var a=t-n,o=t+n,s=e-n,l=e+n;if(o<0||a>this.width||l<0||s>this.height)return!r&&[];var c=[];return this._forEachCell(a,s,o,l,this._queryCellCircle,c,{hitTest:r,circle:{x:t,y:e,radius:n},seenUids:{box:{},circle:{}}},i),r?c.length>0:c},Jt.prototype.query=function(t,e,n,r,i){return this._query(t,e,n,r,!1,i)},Jt.prototype.hitTest=function(t,e,n,r,i){return this._query(t,e,n,r,!0,i)},Jt.prototype.hitTestCircle=function(t,e,n,r){return this._queryCircle(t,e,n,!0,r)},Jt.prototype._queryCell=function(t,e,n,r,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,d=c;h<d.length;h+=1){var f=d[h];if(!l.box[f]){l.box[f]=!0;var p=4*f;if(t<=u[p+2]&&e<=u[p+3]&&n>=u[p+0]&&r>=u[p+1]&&(!s||s(this.boxKeys[f]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[f],x1:u[p],y1:u[p+1],x2:u[p+2],y2:u[p+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;y<v.length;y+=1){var _=v[y];if(!l.circle[_]){l.circle[_]=!0;var b=3*_;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,n,r)&&(!s||s(this.circleKeys[_]))){if(o.hitTest)return a.push(!0),!0;var x=g[b],w=g[b+1],k=g[b+2];a.push({key:this.circleKeys[_],x1:x-k,y1:w-k,x2:x+k,y2:w+k})}}}},Jt.prototype._queryCellCircle=function(t,e,n,r,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var h=this.bboxes,d=0,f=u;d<f.length;d+=1){var p=f[d];if(!c.box[p]){c.box[p]=!0;var m=4*p;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[m+0],h[m+1],h[m+2],h[m+3])&&(!s||s(this.boxKeys[p])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,v=0,_=g;v<_.length;v+=1){var b=_[v];if(!c.circle[b]){c.circle[b]=!0;var x=3*b;if(this._circlesCollide(y[x],y[x+1],y[x+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,n,r,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(n),h=this._convertToYCellCoord(r),d=l;d<=u;d++)for(var f=c;f<=h;f++)if(i.call(this,t,e,n,r,this.xCellCount*f+d,a,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,n,r,i,a){var o=r-t,s=i-e,l=n+a;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,n,r,i,a,o){var s=(a-r)/2,l=Math.abs(t-(r+s));if(l>s+n)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+n)return!1;if(l<=s||u<=c)return!0;var h=l-s,d=u-c;return h*h+d*d<=n*n};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var n=0;n<t;n++){var r=e.length;e.resize(r+4),e.float32.set(le,3*r)}}function ue(t,e,n){var r=e[0],i=e[1];return t[0]=n[0]*r+n[4]*i+n[12],t[1]=n[1]*r+n[5]*i+n[13],t[3]=n[3]*r+n[7]*i+n[15],t}var he=function(t,e,n){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===n&&(n=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=n,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function de(e,n,r){return n*(t.EXTENT/(e.tileSize*Math.pow(2,r-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,n,r,i){var a=this.projectAndGetPerspectiveRatio(r,t.anchorPointX,t.anchorPointY),o=n*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,n,r,i,a,o,s,l,c,u,h,d,f){var p=[],m=new t.Point(n.anchorX,n.anchorY),g=Qt(m,o),y=te(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),v=(u?a/y:a*y)/t.ONE_EM,_=Qt(m,s).point,b=re(v,i,n.lineOffsetX*v,n.lineOffsetY*v,!1,_,m,n,r,s,{}),x=!1,w=!1,k=!0;if(b){for(var M=.5*d*y+f,T=new t.Point(-100,-100),S=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),A=new Zt,L=b.first,C=b.last,E=[],O=L.path.length-1;O>=1;O--)E.push(L.path[O]);for(var D=1;D<C.path.length;D++)E.push(C.path[D]);var I=2.5*M;if(l){var P=E.map((function(t){return Qt(t,l)}));E=P.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:P.map((function(t){return t.point}))}var R=[];if(E.length>0){for(var z=E[0].clone(),j=E[0].clone(),F=1;F<E.length;F++)z.x=Math.min(z.x,E[F].x),z.y=Math.min(z.y,E[F].y),j.x=Math.max(j.x,E[F].x),j.y=Math.max(j.y,E[F].y);R=z.x>=T.x&&j.x<=S.x&&z.y>=T.y&&j.y<=S.y?[E]:j.x<T.x||z.x>S.x||j.y<T.y||z.y>S.y?[]:t.clipLine([E],T.x,T.y,S.x,S.y)}for(var N=0,B=R;N<B.length;N+=1){var Y;A.reset(B[N],.25*M),Y=A.length<=.5*M?1:Math.ceil(A.paddedLength/I)+1;for(var H=0;H<Y;H++){var V=H/Math.max(Y-1,1),U=A.lerp(V),W=U.x+100,q=U.y+100;p.push(W,q,M,0);var G=W-M,X=q-M,Z=W+M,J=q+M;if(k=k&&this.isOffscreen(G,X,Z,J),w=w||this.isInsideGrid(G,X,Z,J),!e&&this.grid.hitTestCircle(W,q,M,h)&&(x=!0,!c))return{circles:[],offscreen:!1,collisionDetected:x}}}}return{circles:!c&&x||!w?[]:p,offscreen:k,collisionDetected:x}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var n=[],r=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);r=Math.min(r,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),n.push(u)}for(var h={},d={},f=0,p=this.grid.query(r,i,a,o).concat(this.ignoredGrid.query(r,i,a,o));f<p.length;f+=1){var m=p[f],g=m.key;if(void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]={}),!h[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(n,y)&&(h[g.bucketInstanceId][g.featureIndex]=!0,void 0===d[g.bucketInstanceId]&&(d[g.bucketInstanceId]=[]),d[g.bucketInstanceId].push(g.featureIndex))}}return d},he.prototype.insertCollisionBox=function(t,e,n,r,i){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:n,featureIndex:r,collisionGroupID:i},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,n,r,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:n,featureIndex:r,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,n,r){var i=[n,r,0,1];return ue(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,n,r){return n<100||t>=this.screenRightBoundary||r<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,n,r){return n>=0&&t<this.gridRightBoundary&&r>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var fe=function(t,e,n,r){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):r&&n?1:0,this.placed=n};fe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var pe=function(t,e,n,r,i){this.text=new fe(t?t.text:null,e,n,i),this.icon=new fe(t?t.icon:null,e,r,i)};pe.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,n){this.text=t,this.icon=e,this.skipFade=n},ge=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,n,r,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=n,this.bucketIndex=r,this.tileID=i},ve=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function _e(e,n,r,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*n,l=-(o.verticalAlign-.5)*r,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function be(e,n,r,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,d=e.anchorPointY,f=new t.Point(n,r);return i&&f._rotate(a?o:-o),{x1:s+f.x,y1:c+f.y,x2:l+f.x,y2:u+f.y,anchorPointX:h,anchorPointY:d}}ve.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var xe=function(t,e,n,r){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ve(n),this.collisionCircleArrays={},this.prevPlacement=r,r&&(r.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,n,r,i){t.emplaceBack(e?1:0,n?1:0,r||0,i||0),t.emplaceBack(e?1:0,n?1:0,r||0,i||0),t.emplaceBack(e?1:0,n?1:0,r||0,i||0),t.emplaceBack(e?1:0,n?1:0,r||0,i||0)}xe.prototype.getBucketParts=function(e,n,r,i){var a=r.getBucket(n),o=r.latestFeatureIndex;if(a&&o&&n.id===a.layerIds[0]){var s=r.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),d=\"map\"===l.get(\"text-pitch-alignment\"),f=\"map\"===l.get(\"text-rotation-alignment\"),p=de(r,1,this.transform.zoom),m=Kt(h,d,f,this.transform,p),g=null;if(d){var y=$t(h,d,f,this.transform,p);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,r.tileID);var v={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:r.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var _=0,b=a.sortKeyRanges;_<b.length;_+=1){var x=b[_];e.push({sortKey:x.sortKey,symbolInstanceStart:x.symbolInstanceStart,symbolInstanceEnd:x.symbolInstanceEnd,parameters:v})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:v})}},xe.prototype.attemptAnchorPlacement=function(t,e,n,r,i,a,o,s,l,c,u,h,d,f,p){var m,g=[h.textOffset0,h.textOffset1],y=_e(t,n,r,g,i),v=this.collisionIndex.placeCollisionBox(be(e,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!p||0!==this.collisionIndex.placeCollisionBox(be(p,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return v.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:n,height:r,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(d,t,h,f),d.allowVerticalPlacement&&(this.markUsedOrientation(d,f,h),this.placedOrientations[h.crossTileID]=f),{shift:y,placedGlyphBoxes:v}):void 0},xe.prototype.placeLayerBucketPart=function(e,n,r){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,d=a.holdingForFade,f=a.collisionBoxArray,p=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),_=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),x=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),k=\"viewport-y\"===s.get(\"symbol-z-order\"),M=v&&(_||!o.hasIconData()||y),T=_&&(v||!o.hasTextData()||g);!o.collisionArrays&&f&&o.deserializeCollisionBoxes(f);var S=function(e,a){if(!n[e.crossTileID])if(d)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var f,k=!1,S=!1,A=!0,L=null,C={box:null,offscreen:null},E={box:null,offscreen:null},O=null,D=null,I=0,P=0,R=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(P=a.verticalTextFeatureIndex);var z=a.textBox;if(z){var j=function(n){var r=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!n&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,i.markUsedOrientation(o,r=a,e))}return r},F=function(n,r){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=r(),E=C):C=n(),!(C&&C.box&&C.box.length));i+=1);else C=n()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var B=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(B.anchor)>0&&(N=N.filter((function(t){return t!==B.anchor}))).unshift(B.anchor)}var Y=function(t,n,r){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!_?n:null,d={box:[],offscreen:!1},f=v?2*N.length:N.length,p=0;p<f;++p){var g=i.attemptAnchorPlacement(N[p%N.length],t,a,s,c,b,x,h,l,m,p>=N.length,e,o,r,u);if(g&&(d=g.placedGlyphBoxes)&&d.box&&d.box.length){k=!0,L=g.shift;break}}return d};F((function(){return Y(z,a.iconBox,t.WritingMode.horizontal)}),(function(){var n=a.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&n?Y(n,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(k=C.box,A=C.offscreen);var H=j(C&&C.box);if(!k&&i.prevPlacement){var V=i.prevPlacement.variableOffsets[e.crossTileID];V&&(i.variableOffsets[e.crossTileID]=V,i.markUsedJustification(o,V.anchor,e,H))}}else{var U=function(t,n){var r=i.collisionIndex.placeCollisionBox(t,v,h,l,m.predicate);return r&&r.box&&r.box.length&&(i.markUsedOrientation(o,n,e),i.placedOrientations[e.crossTileID]=n),r};F((function(){return U(z,t.WritingMode.horizontal)}),(function(){var n=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&n?U(n,t.WritingMode.vertical):{box:null,offscreen:null}})),j(C&&C.box&&C.box.length)}}if(k=(f=C)&&f.box&&f.box.length>0,A=f&&f.offscreen,e.useRuntimeCollisionCircles){var W=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),q=t.evaluateSizeForFeature(o.textSizeData,p,W),G=s.get(\"text-padding\");O=i.collisionIndex.placeCollisionCircles(v,W,o.lineVertexArray,o.glyphOffsetArray,q,l,c,u,r,x,m.predicate,e.collisionCircleDiameter,G),k=v||O.circles.length>0&&!O.collisionDetected,A=A&&O.offscreen}if(a.iconFeatureIndex&&(R=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&L?be(t,L.x,L.y,b,x,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,_,h,l,m.predicate)};S=E&&E.box&&E.box.length&&a.verticalIconBox?(D=X(a.verticalIconBox)).box.length>0:(D=X(a.iconBox)).box.length>0,A=A&&D.offscreen}var Z=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(Z||J?J?Z||(S=S&&k):k=S&&k:S=k=S&&k,k&&f&&f.box&&i.collisionIndex.insertCollisionBox(f.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,E&&E.box&&P?P:I,m.ID),S&&D&&i.collisionIndex.insertCollisionBox(D.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,R,m.ID),O&&(k&&i.collisionIndex.insertCollisionCircles(O.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,m.ID),r)){var K=o.bucketInstanceId,$=i.collisionCircleArrays[K];void 0===$&&($=i.collisionCircleArrays[K]=new ge);for(var Q=0;Q<O.circles.length;Q+=4)$.circles.push(O.circles[Q+0]),$.circles.push(O.circles[Q+1]),$.circles.push(O.circles[Q+2]),$.circles.push(O.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(k||M,S||T,A||o.justReloaded),n[e.crossTileID]=!0}};if(k)for(var A=o.getSortedSymbolIndexes(this.transform.angle),L=A.length-1;L>=0;--L){var C=A[L];S(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var E=e.symbolInstanceStart;E<e.symbolInstanceEnd;E++)S(o.symbolInstances.get(E),o.collisionArrays[E]);if(r&&o.bucketInstanceId in this.collisionCircleArrays){var O=this.collisionCircleArrays[o.bucketInstanceId];t.invert(O.invProjMatrix,l),O.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},xe.prototype.markUsedJustification=function(e,n,r,i){var a;a=i===t.WritingMode.vertical?r.verticalPlacedTextSymbolIndex:{left:r.leftJustifiedTextSymbolIndex,center:r.centerJustifiedTextSymbolIndex,right:r.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(n)];for(var o=0,s=[r.leftJustifiedTextSymbolIndex,r.centerJustifiedTextSymbolIndex,r.rightJustifiedTextSymbolIndex,r.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=a>=0&&l!==a?0:r.crossTileID)}},xe.prototype.markUsedOrientation=function(e,n,r){for(var i=n===t.WritingMode.horizontal||n===t.WritingMode.horizontalOnly?n:0,a=n===t.WritingMode.vertical?n:0,o=0,s=[r.leftJustifiedTextSymbolIndex,r.centerJustifiedTextSymbolIndex,r.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=i;r.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(r.verticalPlacedTextSymbolIndex).placedOrientation=a)},xe.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,n=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var r=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new pe(c,r,l.text,l.icon),n=n||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new pe(null,r,l.text,l.icon,l.skipFade),n=n||l.text||l.icon)}for(var u in i){var h=i[u];if(!this.opacities[u]){var d=new pe(h,r,!1,!1);d.isHidden()||(this.opacities[u]=d,n=n||h.text.placed||h.icon.placed)}}for(var f in a)this.variableOffsets[f]||!this.opacities[f]||this.opacities[f].isHidden()||(this.variableOffsets[f]=a[f]);for(var p in o)this.placedOrientations[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.placedOrientations[p]=o[p]);n?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},xe.prototype.updateLayerOpacities=function(t,e){for(var n={},r=0,i=e;r<i.length;r+=1){var a=i[r],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,n,a.collisionBoxArray)}},xe.prototype.updateBucketOpacities=function(e,n,r){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new pe(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),h=\"map\"===a.get(\"text-pitch-alignment\"),d=\"none\"!==a.get(\"icon-text-fit\"),f=new pe(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&r&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(r);for(var p=function(t,e,n){for(var r=0;r<e/4;r++)t.opacityVertexArray.emplaceBack(n)},m=function(r){var a=e.symbolInstances.get(r),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=i.opacities[m];n[m]?g=o:g||(i.opacities[m]=g=f),n[m]=!0;var y=a.numIconVertices>0,v=i.placedOrientations[a.crossTileID],_=v===t.WritingMode.vertical,b=v===t.WritingMode.horizontal||v===t.WritingMode.horizontalOnly;if(s>0||l>0){var x=Ee(g.text);p(e.text,s,_?Oe:x),p(e.text,l,b?Oe:x);var w=g.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var k=i.variableOffsets[a.crossTileID];k&&i.markUsedJustification(e,k.anchor,a,v);var M=i.placedOrientations[a.crossTileID];M&&(i.markUsedJustification(e,\"left\",a,M),i.markUsedOrientation(e,M,a))}if(y){var T=Ee(g.icon),S=!(d&&a.verticalPlacedIconSymbolIndex&&_);a.placedIconSymbolIndex>=0&&(p(e.icon,a.numIconVertices,S?T:Oe),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=g.icon.isHidden()),a.verticalPlacedIconSymbolIndex>=0&&(p(e.icon,a.numVerticalIconVertices,S?Oe:T),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=g.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var A=e.collisionArrays[r];if(A){var L=new t.Point(0,0);if(A.textBox||A.verticalTextBox){var C=!0;if(c){var E=i.variableOffsets[m];E?(L=_e(E.anchor,E.width,E.height,E.textOffset,E.textBoxScale),u&&L._rotate(h?i.transform.angle:-i.transform.angle)):C=!1}A.textBox&&we(e.textCollisionBox.collisionVertexArray,g.text.placed,!C||_,L.x,L.y),A.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,g.text.placed,!C||b,L.x,L.y)}var O=Boolean(!b&&A.verticalIconBox);A.iconBox&&we(e.iconCollisionBox.collisionVertexArray,g.icon.placed,O,d?L.x:0,d?L.y:0),A.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,g.icon.placed,!O,d?L.x:0,d?L.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},xe.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},xe.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},xe.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},xe.prototype.stillRecent=function(t,e){var n=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*n>t},xe.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Me=Math.pow(2,24),Te=Math.pow(2,17),Se=Math.pow(2,16),Ae=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Ee(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,n=Math.floor(127*t.opacity);return n*ke+e*Me+n*Te+e*Se+n*Ae+e*Le+n*Ce+e}var Oe=0,De=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};De.prototype.continuePlacement=function(t,e,n,r,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(a,r,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,i())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;)if(e.placeLayerBucketPart(a[this._currentPartIndex],this._seenCrossTileIDs,n),this._currentPartIndex++,i())return!0;return!1};var Ie=function(t,e,n,r,i,a,o){this.placement=new xe(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=n,this._showCollisionBoxes=r,this._done=!1};Ie.prototype.isDone=function(){return this._done},Ie.prototype.continuePlacement=function(e,n,r){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=n[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new De(s)),this._inProgressLayer.continuePlacement(r[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Ie.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Pe=512/t.EXTENT/2,Re=function(t,e,n){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=n;for(var r=0;r<e.length;r++){var i=e.get(r),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,n){var r=Pe/Math.pow(2,n.canonical.z-this.tileID.canonical.z);return{x:Math.floor((n.canonical.x*t.EXTENT+e.anchorX)*r),y:Math.floor((n.canonical.y*t.EXTENT+e.anchorY)*r)}},Re.prototype.findMatches=function(t,e,n){for(var r=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=r&&Math.abs(u.coord.y-s.y)<=r&&!n[u.crossTileID]){n[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var ze=function(){this.maxCrossTileID=0};ze.prototype.generate=function(){return++this.maxCrossTileID};var je=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};je.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var n in this.indexes){var r=this.indexes[n],i={};for(var a in r){var o=r[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[n]=i}this.lng=t},je.prototype.addBucket=function(t,e,n){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var r=0;r<e.symbolInstances.length;r++)e.symbolInstances.get(r).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=n.generate(),i[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},je.prototype.removeBucketCrossTileIDs=function(t,e){for(var n in e.indexedSymbolInstances)for(var r=0,i=e.indexedSymbolInstances[n];r<i.length;r+=1)delete this.usedCrossTileIDs[t][i[r].crossTileID]},je.prototype.removeStaleBuckets=function(t){var e=!1;for(var n in this.indexes){var r=this.indexes[n];for(var i in r)t[r[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(n,r[i]),delete r[i],e=!0)}return e};var Fe=function(){this.layerIndexes={},this.crossTileIDs=new ze,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Fe.prototype.addLayer=function(t,e,n){var r=this.layerIndexes[t.id];void 0===r&&(r=this.layerIndexes[t.id]=new je);var i=!1,a={};r.handleWrapJump(n);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),r.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return r.removeStaleBuckets(a)&&(i=!0),i},Fe.prototype.pruneUnusedLayers=function(t){var e={};for(var n in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[n]||delete this.layerIndexes[n]};var Ne=function(e,n){return t.emitValidationErrors(e,n&&n.filter((function(t){return\"source.canvas\"!==t.identifier})))},Be=t.pick(Yt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ye=t.pick(Yt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},n=t.styleSpec.$version;for(var r in t.styleSpec.$root){var i,a=t.styleSpec.$root[r];a.required&&null!=(i=\"version\"===r?n:\"array\"===a.type?[]:{})&&(e[r]=i)}return e}(),Ve=function(e){function n(r,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=r,this.dispatcher=new M(Ft(),this),this.imageManager=new d,this.imageManager.setEventedParent(this),this.glyphManager=new _(r._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Fe,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=n.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,n){if(t.triggerPluginCompletionEvent(e),n&&n.every((function(t){return t})))for(var r in o.sourceCaches)o.sourceCaches[r].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var n=e.getSource();if(n&&n.vectorLayerIds)for(var r in a._layers){var i=a._layers[r];i.source===n.id&&a._validateLayer(i)}}}}))}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.loadURL=function(e,n){var r=this;void 0===n&&(n={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof n.validate?n.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,n.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,n){r._request=null,e?r.fire(new t.ErrorEvent(e)):n&&r._load(n,i)}))},n.prototype.loadJSON=function(e,n){var r=this;void 0===n&&(n={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){r._request=null,r._load(e,!1!==n.validate)}))},n.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},n.prototype._load=function(e,n){if(!n||!Ne(this,t.validateStyle(e))){for(var r in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(r,e.sources[r],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Bt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},n.prototype._loadSprite=function(e){var n=this;this._spriteRequest=function(e,n,r){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(n.transformRequest(n.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(n.transformRequest(n.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)r(o);else if(i&&a){var e=t.browser.getImageData(a),n={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,d=l.y,f=l.sdf,p=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:d},{x:0,y:0},{width:c,height:u}),n[s]={data:v,pixelRatio:p,sdf:f,stretchX:m,stretchY:g,content:y}}r(null,n)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var i in r)n.imageManager.addImage(i,r[i]);n.imageManager.setLoaded(!0),n._availableImages=n.imageManager.listImages(),n.dispatcher.broadcast(\"setImages\",n._availableImages),n.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},n.prototype._validateLayer=function(e){var n=this.sourceCaches[e.source];if(n){var r=e.sourceLayer;if(r){var i=n.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(r))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+r+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},n.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},n.prototype._serializeLayers=function(t){for(var e=[],n=0,r=t;n<r.length;n+=1){var i=this._layers[r[n]];\"custom\"!==i.type&&e.push(i.serialize())}return e},n.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},n.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},n.prototype.update=function(e){if(this._loaded){var n=this._changed;if(this._changed){var r=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(r.length||i.length)&&this._updateWorkerLayers(r,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,n&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},n.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},n.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},n.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},n.prototype.setState=function(e){var n=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Bt(e.layers);var r=function(e,n){if(!e)return[{command:Yt.setStyle,args:[n]}];var r=[];try{if(!t.deepEqual(e.version,n.version))return[{command:Yt.setStyle,args:[n]}];t.deepEqual(e.center,n.center)||r.push({command:Yt.setCenter,args:[n.center]}),t.deepEqual(e.zoom,n.zoom)||r.push({command:Yt.setZoom,args:[n.zoom]}),t.deepEqual(e.bearing,n.bearing)||r.push({command:Yt.setBearing,args:[n.bearing]}),t.deepEqual(e.pitch,n.pitch)||r.push({command:Yt.setPitch,args:[n.pitch]}),t.deepEqual(e.sprite,n.sprite)||r.push({command:Yt.setSprite,args:[n.sprite]}),t.deepEqual(e.glyphs,n.glyphs)||r.push({command:Yt.setGlyphs,args:[n.glyphs]}),t.deepEqual(e.transition,n.transition)||r.push({command:Yt.setTransition,args:[n.transition]}),t.deepEqual(e.light,n.light)||r.push({command:Yt.setLight,args:[n.light]});var i={},a=[];!function(e,n,r,i){var a;for(a in n=n||{},e=e||{})e.hasOwnProperty(a)&&(n.hasOwnProperty(a)||Vt(a,r,i));for(a in n)n.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],n[a])||(\"geojson\"===e[a].type&&\"geojson\"===n[a].type&&Wt(e,n,a)?r.push({command:Yt.setGeoJSONSourceData,args:[a,n[a].data]}):Ut(a,n,r,i)):Ht(a,n,r))}(e.sources,n.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?r.push({command:Yt.removeLayer,args:[t.id]}):o.push(t)})),r=r.concat(a),function(e,n,r){n=n||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Gt),d=n.map(Gt),f=e.reduce(Xt,{}),p=n.reduce(Xt,{}),m=h.slice(),g=Object.create(null);for(i=0,a=0;i<h.length;i++)p.hasOwnProperty(o=h[i])?a++:(r.push({command:Yt.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<d.length;i++)m[m.length-1-i]!==(o=d[d.length-1-i])&&(f.hasOwnProperty(o)?(r.push({command:Yt.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,r.push({command:Yt.addLayer,args:[p[o],c=m[m.length-i]]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<d.length;i++)if(s=f[o=d[i]],l=p[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in qt(s.layout,l.layout,r,o,null,Yt.setLayoutProperty),qt(s.paint,l.paint,r,o,null,Yt.setPaintProperty),t.deepEqual(s.filter,l.filter)||r.push({command:Yt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||r.push({command:Yt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?qt(s[u],l[u],r,o,u.slice(6),Yt.setPaintProperty):t.deepEqual(s[u],l[u])||r.push({command:Yt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?qt(s[u],l[u],r,o,u.slice(6),Yt.setPaintProperty):t.deepEqual(s[u],l[u])||r.push({command:Yt.setLayerProperty,args:[o,u,l[u]]}))}else r.push({command:Yt.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],r.push({command:Yt.addLayer,args:[l,c]})}(o,n.layers,r)}catch(t){console.warn(\"Unable to compute style diff:\",t),r=[{command:Yt.setStyle,args:[n]}]}return r}(this.serialize(),e).filter((function(t){return!(t.command in Ye)}));if(0===r.length)return!1;var i=r.filter((function(t){return!(t.command in Be)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return r.forEach((function(t){\"setTransition\"!==t.command&&n[t.command].apply(n,t.args)})),this.stylesheet=e,!0},n.prototype.addImage=function(e,n){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,n),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},n.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},n.prototype.getImage=function(t){return this.imageManager.getImage(t)},n.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},n.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},n.prototype.addSource=function(e,n,r){var i=this;if(void 0===r&&(r={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!n.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(n).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(n.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,n,null,r))){this.map&&this.map._collectResourceTiming&&(n.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Et(e,n,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},n.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var n in this._layers)if(this._layers[n].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+n+'\" is using it.')));var r=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],r.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),r.setEventedParent(null),r.clearTiles(),r.onRemove&&r.onRemove(this.map),this._changed=!0},n.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},n.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},n.prototype.addLayer=function(e,n,r){void 0===r&&(r={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},r))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=n?this._order.indexOf(n):this._order.length;if(n&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+n+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},n.prototype.moveLayer=function(e,n){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==n){var r=this._order.indexOf(e);this._order.splice(r,1);var i=n?this._order.indexOf(n):this._order.length;n&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+n+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},n.prototype.removeLayer=function(e){this._checkLoaded();var n=this._layers[e];if(n){n.setEventedParent(null);var r=this._order.indexOf(e);this._order.splice(r,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=n,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],n.onRemove&&n.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},n.prototype.getLayer=function(t){return this._layers[t]},n.prototype.hasLayer=function(t){return t in this._layers},n.prototype.setLayerZoomRange=function(e,n,r){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===n&&i.maxzoom===r||(null!=n&&(i.minzoom=n),null!=r&&(i.maxzoom=r),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},n.prototype.setFilter=function(e,n,r){void 0===r&&(r={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,n))return null==n?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",n,null,r)||(i.filter=t.clone$1(n),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},n.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},n.prototype.setLayoutProperty=function(e,n,r,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(n),r)||(a.setLayoutProperty(n,r,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},n.prototype.getLayoutProperty=function(e,n){var r=this.getLayer(e);if(r)return r.getLayoutProperty(n);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},n.prototype.setPaintProperty=function(e,n,r,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(n),r)||(a.setPaintProperty(n,r,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},n.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},n.prototype.setFeatureState=function(e,n){this._checkLoaded();var r=e.source,i=e.sourceLayer,a=this.sourceCaches[r];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,n)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},n.prototype.removeFeatureState=function(e,n){this._checkLoaded();var r=e.source,i=this.sourceCaches[r];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?n&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,n):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},n.prototype.getFeatureState=function(e){this._checkLoaded();var n=e.source,r=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){if(\"vector\"!==i.getSource().type||r)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(r,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},n.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},n.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},n.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},n.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,n=function(t){return\"fill-extrusion\"===e._layers[t].type},r={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(n(o)){r[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)i.push(h[u])}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var d=[],f=this._order.length-1;f>=0;f--){var p=this._order[f];if(n(p))for(var m=i.length-1;m>=0;m--){var g=i[m].feature;if(r[g.layer.id]<f)break;d.push(g),i.pop()}else for(var y=0,v=t;y<v.length;y+=1){var _=v[y][p];if(_)for(var b=0,x=_;b<x.length;b+=1)d.push(x[b].feature)}}return d},n.prototype.queryRenderedFeatures=function(e,n,r){n&&n.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",n.filter,null,n);var i={};if(n&&n.layers){if(!Array.isArray(n.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=n.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in n.availableImages=this._availableImages,this.sourceCaches)n.layers&&!i[u]||c.push(j(this.sourceCaches[u],this._layers,this._serializedLayers,e,n,r));return this.placement&&c.push(function(t,e,n,r,i,a,o){for(var s={},l=a.queryRenderedSymbols(r),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(F);for(var d=function(){var n=p[f],r=n.featureIndex.lookupSymbolFeatures(l[n.bucketInstanceId],e,n.bucketIndex,n.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in r){var o=s[a]=s[a]||[],c=r[a];c.sort((function(t,e){var r=n.featureSortOrder;if(r){var i=r.indexOf(t.featureIndex);return r.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},f=0,p=c;f<p.length;f+=1)d();var m=function(e){s[e].forEach((function(r){var i=r.feature,a=n[t[e].source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=a}))};for(var g in s)m(g);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,n,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},n.prototype.querySourceFeatures=function(e,n){n&&n.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",n.filter,null,n);var r=this.sourceCaches[e];return r?function(t,e){for(var n=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),r=[],i={},a=0;a<n.length;a++){var o=n[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(r,e))}return r}(r,n):[]},n.prototype.addSourceType=function(t,e,r){return n.getSourceType(t)?r(new Error('A source type called \"'+t+'\" already exists.')):(n.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},r):r(null,null))},n.prototype.getLight=function(){return this.light.getLight()},n.prototype.setLight=function(e,n){void 0===n&&(n={}),this._checkLoaded();var r=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],r[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,n),this.light.updateTransitions(o)}},n.prototype._validate=function(e,n,r,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:n,style:this.serialize(),value:r,styleSpec:t.styleSpec},i)))},n.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var n in this.sourceCaches)this.sourceCaches[n].clearTiles(),this.sourceCaches[n].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},n.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},n.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},n.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},n.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},n.prototype._updatePlacement=function(e,n,r,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var d=this.sourceCaches[h.source];l[h.source]=d.getRenderableIds(!0).map((function(t){return d.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var f=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||f}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Ie(e,this._order,a,n,r,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var p=0,m=this._order;p<m.length;p+=1){var g=this._layers[m[p]];\"symbol\"===g.type&&this.placement.updateLayerOpacities(g,l[g.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},n.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},n.prototype.getImages=function(t,e,n){this.imageManager.getImages(e.icons,n),this._updateTilesForChangedImages();var r=this.sourceCaches[e.source];r&&r.setDependencies(e.tileID.key,e.type,e.icons)},n.prototype.getGlyphs=function(t,e,n){this.glyphManager.getGlyphs(e.stacks,n)},n.prototype.getResource=function(e,n,r){return t.makeRequest(n,r)},n}(t.Evented);Ve.getSourceType=function(t){return R[t]},Ve.setSourceType=function(t,e){R[t]=e},Ve.registerForPluginStateChange=t.registerForPluginStateChange;var Ue=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),We=vn(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),qe=vn(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ge=vn(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Xe=vn(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Ze=vn(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=vn(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vn(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=vn(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),Qe=vn(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),tn=vn(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),en=vn(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nn=vn(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),rn=vn(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),an=vn(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),on=vn(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sn=vn(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),ln=vn(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cn=vn(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),un=vn(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hn=vn(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dn=vn(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),fn=vn(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),pn=vn(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mn=vn(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gn=vn(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),yn=vn(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function vn(t,e){var n=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,r={};return{fragmentSource:t=t.replace(n,(function(t,e,n,i,a){return r[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+n+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+n+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+n+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(n,(function(t,e,n,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return r[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+n+\" \"+o+\" a_\"+a+\";\\nvarying \"+n+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+n+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+n+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+n+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+n+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+n+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+n+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+n+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+n+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+n+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var _n=Object.freeze({__proto__:null,prelude:We,background:qe,backgroundPattern:Ge,circle:Xe,clippingMask:Ze,heatmap:Je,heatmapTexture:Ke,collisionBox:$e,collisionCircle:Qe,debug:tn,fill:en,fillOutline:nn,fillOutlinePattern:rn,fillPattern:an,fillExtrusion:on,fillExtrusionPattern:sn,hillshadePrepare:ln,hillshade:cn,line:un,lineGradient:hn,linePattern:dn,lineSDF:fn,raster:pn,symbolIcon:mn,symbolSDF:gn,symbolTextAndIcon:yn}),bn=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};bn.prototype.bind=function(t,e,n,r,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==r.length,c=0;!l&&c<r.length;c++)this.boundPaintVertexBuffers[c]!==r[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===n&&!l&&this.boundIndexBuffer===i&&this.boundVertexOffset===a&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind()):this.freshBind(e,n,r,i,a,o,s)},bn.prototype.freshBind=function(t,e,n,r,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=n,this.boundIndexBuffer=r,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var d=0,f=n;d<f.length;d+=1)f[d].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var p=0,m=n;p<m.length;p+=1){var g=m[p];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),r&&r.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},bn.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var xn=function(t,e,n,r,i){var a=t.gl;this.program=a.createProgram();var o=n?n.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(We.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(We.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var h=n?n.layoutAttributes:[],d=0;d<h.length;d++)a.bindAttribLocation(this.program,d,h[d].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var f={},p=0;p<this.numAttributes;p++){var m=a.getActiveAttrib(this.program,p);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var v=a.getActiveUniform(this.program,y);v&&(f[v.name]=a.getUniformLocation(this.program,v.name))}this.fixedUniforms=r(t,f),this.binderUniforms=n?n.getUniforms(t,f):[]}}};function wn(t,e,n){var r=1/de(n,1,e.transform.tileZoom),i=Math.pow(2,n.tileID.overscaledZ),a=n.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(n.tileID.canonical.x+n.tileID.wrap*i),s=a*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[r,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}xn.prototype.draw=function(t,e,n,r,i,a,o,s,l,c,u,h,d,f,p,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(n),t.setStencilMode(r),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);f&&f.setUniforms(t,this.binderUniforms,h,{zoom:d});for(var _=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,x=u.get();b<x.length;b+=1){var w=x[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new bn)).bind(t,this,l,f?f.getPaintVertexBuffers():[],c,w.vertexOffset,p,m),y.drawElements(e,w.primitiveLength*_,y.UNSIGNED_SHORT,w.primitiveOffset*_*2)}}};var kn=function(e,n,r,i){var a=n.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-n.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+r,u_opacity:i}},Mn=function(e,n,r,i,a,o,s){return t.extend(kn(e,n,r,i),wn(o,n,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Tn=function(t){return{u_matrix:t}},Sn=function(e,n,r,i){return t.extend(Tn(e),wn(r,n,i))},An=function(t,e){return{u_matrix:t,u_world:e}},Ln=function(e,n,r,i,a){return t.extend(Sn(e,n,r,i),{u_world:a})},Cn=function(e,n,r,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=de(r,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(n.posMatrix,r,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},En=function(t,e,n){var r=de(n,1,e.zoom),i=Math.pow(2,e.zoom-n.tileID.overscaledZ),a=n.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:r,u_extrude_scale:[e.pixelsToGLUnits[0]/(r*i),e.pixelsToGLUnits[1]/(r*i)],u_overscale_factor:a}},On=function(t,e,n){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:n.cameraToCenterDistance,u_viewport_size:[n.width,n.height]}},Dn=function(t,e,n){return void 0===n&&(n=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:n}},In=function(t){return{u_matrix:t}},Pn=function(t,e,n,r){return{u_matrix:t,u_extrude_scale:de(e,1,n),u_intensity:r}},Rn=function(e,n,r){var i=e.transform;return{u_matrix:Bn(e,n,r),u_ratio:1/de(n,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},zn=function(e,n,r){return t.extend(Rn(e,n,r),{u_image:0})},jn=function(e,n,r,i){var a=e.transform,o=Nn(n,a);return{u_matrix:Bn(e,n,r),u_texsize:n.imageAtlasTexture.size,u_ratio:1/de(n,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Fn=function(e,n,r,i,a){var o=e.lineAtlas,s=Nn(n,e.transform),l=\"round\"===r.layout.get(\"line-cap\"),c=o.getDash(i.from,l),u=o.getDash(i.to,l),h=c.width*a.fromScale,d=u.width*a.toScale;return t.extend(Rn(e,n,r),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/d,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,d)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:a.t})};function Nn(t,e){return 1/de(t,1,e.tileZoom)}function Bn(t,e,n){return t.translatePosMatrix(e.tileID.posMatrix,e,n.paint.get(\"line-translate\"),n.paint.get(\"line-translate-anchor\"))}var Yn=function(t,e,n,r,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:n,u_buffer_scale:1,u_fade_t:r.mix,u_opacity:r.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hn(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hn(t){t*=Math.PI/180;var e=Math.sin(t),n=Math.cos(t);return[(2*n+1)/3,(-Math.sqrt(3)*e-n+1)/3,(Math.sqrt(3)*e-n+1)/3]}var Vn,Un=function(t,e,n,r,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+n,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+r,u_texsize:c,u_texture:0}},Wn=function(e,n,r,i,a,o,s,l,c,u,h){var d=a.transform;return t.extend(Un(e,n,r,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(d._pitch)*d.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},qn=function(e,n,r,i,a,o,s,l,c,u){return t.extend(Wn(e,n,r,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Gn=function(t,e,n){return{u_matrix:t,u_opacity:e,u_color:n}},Xn=function(e,n,r,i,a,o){return t.extend(function(t,e,n,r){var i=n.imageManager.getPattern(t.from.toString()),a=n.imageManager.getPattern(t.to.toString()),o=n.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,r.tileID.overscaledZ),u=r.tileSize*Math.pow(2,n.transform.tileZoom)/c,h=u*(r.tileID.canonical.x+r.tileID.wrap*c),d=u*r.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/de(r,1,n.transform.tileZoom),u_pixel_coord_upper:[h>>16,d>>16],u_pixel_coord_lower:[65535&h,65535&d]}}(i,o,r,a),{u_matrix:e,u_opacity:n})},Zn={fillExtrusion:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_lightpos:new t.Uniform3f(e,n.u_lightpos),u_lightintensity:new t.Uniform1f(e,n.u_lightintensity),u_lightcolor:new t.Uniform3f(e,n.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,n.u_vertical_gradient),u_opacity:new t.Uniform1f(e,n.u_opacity)}},fillExtrusionPattern:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_lightpos:new t.Uniform3f(e,n.u_lightpos),u_lightintensity:new t.Uniform1f(e,n.u_lightintensity),u_lightcolor:new t.Uniform3f(e,n.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,n.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,n.u_height_factor),u_image:new t.Uniform1i(e,n.u_image),u_texsize:new t.Uniform2f(e,n.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,n.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,n.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,n.u_scale),u_fade:new t.Uniform1f(e,n.u_fade),u_opacity:new t.Uniform1f(e,n.u_opacity)}},fill:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix)}},fillPattern:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_image:new t.Uniform1i(e,n.u_image),u_texsize:new t.Uniform2f(e,n.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,n.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,n.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,n.u_scale),u_fade:new t.Uniform1f(e,n.u_fade)}},fillOutline:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_world:new t.Uniform2f(e,n.u_world)}},fillOutlinePattern:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_world:new t.Uniform2f(e,n.u_world),u_image:new t.Uniform1i(e,n.u_image),u_texsize:new t.Uniform2f(e,n.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,n.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,n.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,n.u_scale),u_fade:new t.Uniform1f(e,n.u_fade)}},circle:function(e,n){return{u_camera_to_center_distance:new t.Uniform1f(e,n.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,n.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,n.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,n.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,n.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,n.u_matrix)}},collisionBox:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,n.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,n.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,n.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,n.u_overscale_factor)}},collisionCircle:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,n.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,n.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,n.u_viewport_size)}},debug:function(e,n){return{u_color:new t.UniformColor(e,n.u_color),u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_overlay:new t.Uniform1i(e,n.u_overlay),u_overlay_scale:new t.Uniform1f(e,n.u_overlay_scale)}},clippingMask:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix)}},heatmap:function(e,n){return{u_extrude_scale:new t.Uniform1f(e,n.u_extrude_scale),u_intensity:new t.Uniform1f(e,n.u_intensity),u_matrix:new t.UniformMatrix4f(e,n.u_matrix)}},heatmapTexture:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_world:new t.Uniform2f(e,n.u_world),u_image:new t.Uniform1i(e,n.u_image),u_color_ramp:new t.Uniform1i(e,n.u_color_ramp),u_opacity:new t.Uniform1f(e,n.u_opacity)}},hillshade:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_image:new t.Uniform1i(e,n.u_image),u_latrange:new t.Uniform2f(e,n.u_latrange),u_light:new t.Uniform2f(e,n.u_light),u_shadow:new t.UniformColor(e,n.u_shadow),u_highlight:new t.UniformColor(e,n.u_highlight),u_accent:new t.UniformColor(e,n.u_accent)}},hillshadePrepare:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_image:new t.Uniform1i(e,n.u_image),u_dimension:new t.Uniform2f(e,n.u_dimension),u_zoom:new t.Uniform1f(e,n.u_zoom),u_maxzoom:new t.Uniform1f(e,n.u_maxzoom),u_unpack:new t.Uniform4f(e,n.u_unpack)}},line:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_ratio:new t.Uniform1f(e,n.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,n.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,n.u_units_to_pixels)}},lineGradient:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_ratio:new t.Uniform1f(e,n.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,n.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,n.u_units_to_pixels),u_image:new t.Uniform1i(e,n.u_image)}},linePattern:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_texsize:new t.Uniform2f(e,n.u_texsize),u_ratio:new t.Uniform1f(e,n.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,n.u_device_pixel_ratio),u_image:new t.Uniform1i(e,n.u_image),u_units_to_pixels:new t.Uniform2f(e,n.u_units_to_pixels),u_scale:new t.Uniform3f(e,n.u_scale),u_fade:new t.Uniform1f(e,n.u_fade)}},lineSDF:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_ratio:new t.Uniform1f(e,n.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,n.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,n.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,n.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,n.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,n.u_sdfgamma),u_image:new t.Uniform1i(e,n.u_image),u_tex_y_a:new t.Uniform1f(e,n.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,n.u_tex_y_b),u_mix:new t.Uniform1f(e,n.u_mix)}},raster:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_tl_parent:new t.Uniform2f(e,n.u_tl_parent),u_scale_parent:new t.Uniform1f(e,n.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,n.u_buffer_scale),u_fade_t:new t.Uniform1f(e,n.u_fade_t),u_opacity:new t.Uniform1f(e,n.u_opacity),u_image0:new t.Uniform1i(e,n.u_image0),u_image1:new t.Uniform1i(e,n.u_image1),u_brightness_low:new t.Uniform1f(e,n.u_brightness_low),u_brightness_high:new t.Uniform1f(e,n.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,n.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,n.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,n.u_spin_weights)}},symbolIcon:function(e,n){return{u_is_size_zoom_constant:new t.Uniform1i(e,n.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,n.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,n.u_size_t),u_size:new t.Uniform1f(e,n.u_size),u_camera_to_center_distance:new t.Uniform1f(e,n.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,n.u_pitch),u_rotate_symbol:new t.Uniform1i(e,n.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,n.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,n.u_fade_change),u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,n.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,n.u_coord_matrix),u_is_text:new t.Uniform1i(e,n.u_is_text),u_pitch_with_map:new t.Uniform1i(e,n.u_pitch_with_map),u_texsize:new t.Uniform2f(e,n.u_texsize),u_texture:new t.Uniform1i(e,n.u_texture)}},symbolSDF:function(e,n){return{u_is_size_zoom_constant:new t.Uniform1i(e,n.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,n.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,n.u_size_t),u_size:new t.Uniform1f(e,n.u_size),u_camera_to_center_distance:new t.Uniform1f(e,n.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,n.u_pitch),u_rotate_symbol:new t.Uniform1i(e,n.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,n.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,n.u_fade_change),u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,n.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,n.u_coord_matrix),u_is_text:new t.Uniform1i(e,n.u_is_text),u_pitch_with_map:new t.Uniform1i(e,n.u_pitch_with_map),u_texsize:new t.Uniform2f(e,n.u_texsize),u_texture:new t.Uniform1i(e,n.u_texture),u_gamma_scale:new t.Uniform1f(e,n.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,n.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,n.u_is_halo)}},symbolTextAndIcon:function(e,n){return{u_is_size_zoom_constant:new t.Uniform1i(e,n.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,n.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,n.u_size_t),u_size:new t.Uniform1f(e,n.u_size),u_camera_to_center_distance:new t.Uniform1f(e,n.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,n.u_pitch),u_rotate_symbol:new t.Uniform1i(e,n.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,n.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,n.u_fade_change),u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,n.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,n.u_coord_matrix),u_is_text:new t.Uniform1i(e,n.u_is_text),u_pitch_with_map:new t.Uniform1i(e,n.u_pitch_with_map),u_texsize:new t.Uniform2f(e,n.u_texsize),u_texsize_icon:new t.Uniform2f(e,n.u_texsize_icon),u_texture:new t.Uniform1i(e,n.u_texture),u_texture_icon:new t.Uniform1i(e,n.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,n.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,n.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,n.u_is_halo)}},background:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_opacity:new t.Uniform1f(e,n.u_opacity),u_color:new t.UniformColor(e,n.u_color)}},backgroundPattern:function(e,n){return{u_matrix:new t.UniformMatrix4f(e,n.u_matrix),u_opacity:new t.Uniform1f(e,n.u_opacity),u_image:new t.Uniform1i(e,n.u_image),u_pattern_tl_a:new t.Uniform2f(e,n.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,n.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,n.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,n.u_pattern_br_b),u_texsize:new t.Uniform2f(e,n.u_texsize),u_mix:new t.Uniform1f(e,n.u_mix),u_pattern_size_a:new t.Uniform2f(e,n.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,n.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,n.u_scale_a),u_scale_b:new t.Uniform1f(e,n.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,n.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,n.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,n.u_tile_units_to_pixels)}}};function Jn(e,n,r,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],d=0,f=0,p=0;p<i.length;p++){var m=i[p],g=n.getTile(m),y=g.getBucket(r);if(y){var v=m.posMatrix;0===a[0]&&0===a[1]||(v=e.translatePosMatrix(m.posMatrix,g,a,o));var _=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var x=t.create(),w=v;t.mul(x,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(x,x,y.placementViewportMatrix),h.push({circleArray:b,circleOffset:f,transform:w,invTransform:x}),f=d+=b.length/4}_&&u.draw(l,c.LINES,Tt.disabled,St.disabled,e.colorModeForRenderPass(),Lt.disabled,En(v,e.transform,g),r.id,_.layoutVertexBuffer,_.indexBuffer,_.segments,null,e.transform.zoom,null,null,_.collisionVertexBuffer)}}if(s&&h.length){var k=e.useProgram(\"collisionCircle\"),M=new t.StructArrayLayout2f1f2i16;M.resize(4*d),M._trim();for(var T=0,S=0,A=h;S<A.length;S+=1)for(var L=A[S],C=0;C<L.circleArray.length/4;C++){var E=4*C,O=L.circleArray[E+0],D=L.circleArray[E+1],I=L.circleArray[E+2],P=L.circleArray[E+3];M.emplace(T++,O,D,I,P,0),M.emplace(T++,O,D,I,P,1),M.emplace(T++,O,D,I,P,2),M.emplace(T++,O,D,I,P,3)}(!Vn||Vn.length<2*d)&&(Vn=function(e){var n=2*e,r=new t.StructArrayLayout3ui6;r.resize(n),r._trim();for(var i=0;i<n;i++){var a=6*i;r.uint16[a+0]=4*i+0,r.uint16[a+1]=4*i+1,r.uint16[a+2]=4*i+2,r.uint16[a+3]=4*i+2,r.uint16[a+4]=4*i+3,r.uint16[a+5]=4*i+0}return r}(d));for(var R=l.createIndexBuffer(Vn,!0),z=l.createVertexBuffer(M,t.collisionCircleLayout.members,!0),j=0,F=h;j<F.length;j+=1){var N=F[j],B=On(N.transform,N.invTransform,e.transform);k.draw(l,c.TRIANGLES,Tt.disabled,St.disabled,e.colorModeForRenderPass(),Lt.disabled,B,r.id,z,R,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}z.destroy(),R.destroy()}}var Kn=t.identity(new Float32Array(16));function $n(e,n,r,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*n,c=-(s.verticalAlign-.5)*r,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function Qn(e,n,r,i,a,o,s,l,c,u,h){var d=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray,p=e.icon.dynamicLayoutVertexArray,m={};f.clear();for(var g=0;g<d.length;g++){var y=d.get(g),v=y.hidden||!y.crossTileID||e.allowVerticalPlacement&&!y.placedOrientation?null:i[y.crossTileID];if(v){var _=new t.Point(y.anchorX,y.anchorY),b=Qt(_,r?l:s),x=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=a.evaluateSizeForFeature(e.textSizeData,u,y)*x/t.ONE_EM;r&&(w*=e.tilePixelRatio/c);for(var k=$n(v.anchor,v.width,v.height,v.textOffset,v.textBoxScale,w),M=r?Qt(_.add(k),s).point:b.point.add(n?k.rotate(-o.angle):k),T=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,S=0;S<y.numGlyphs;S++)t.addDynamicAttributes(f,M,T);h&&y.associatedIconIndex>=0&&(m[y.associatedIconIndex]={shiftedAnchor:M,angle:T})}else ce(y.numGlyphs,f)}if(h){p.clear();for(var A=e.icon.placedSymbolArray,L=0;L<A.length;L++){var C=A.get(L);if(C.hidden)ce(C.numGlyphs,p);else{var E=m[L];if(E)for(var O=0;O<C.numGlyphs;O++)t.addDynamicAttributes(p,E.shiftedAnchor,E.angle);else ce(C.numGlyphs,p)}}e.icon.dynamicLayoutVertexBuffer.updateData(p)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function tr(t,e,n){return n.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function er(e,n,r,i,a,o,s,l,c,u,h,d){for(var f=e.context,p=f.gl,m=e.transform,g=\"map\"===l,y=\"map\"===c,v=g&&\"point\"!==r.layout.get(\"symbol-placement\"),_=g&&!y&&!v,b=void 0!==r.layout.get(\"symbol-sort-key\").constantOr(1),x=e.depthModeForSublayer(0,Tt.ReadOnly),w=r.layout.get(\"text-variable-anchor\"),k=[],M=0,T=i;M<T.length;M+=1){var S=T[M],A=n.getTile(S),L=A.getBucket(r);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var E=C.programConfigurations.get(r.id),O=a||L.sdfIcons,D=a?L.textSizeData:L.iconSizeData,I=y||0!==m.pitch,P=e.useProgram(tr(O,a,L),E),R=t.evaluateSizeForZoom(D,m.zoom),z=void 0,j=[0,0],F=void 0,N=void 0,B=null,Y=void 0;if(a)F=A.glyphAtlasTexture,N=p.LINEAR,z=A.glyphAtlasTexture.size,L.iconsInText&&(j=A.imageAtlasTexture.size,B=A.imageAtlasTexture,Y=I||e.options.rotating||e.options.zooming||\"composite\"===D.kind||\"camera\"===D.kind?p.LINEAR:p.NEAREST);else{var H=1!==r.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;F=A.imageAtlasTexture,N=O||e.options.rotating||e.options.zooming||H||I?p.LINEAR:p.NEAREST,z=A.imageAtlasTexture.size}var V=de(A,1,e.transform.zoom),U=Kt(S.posMatrix,y,g,e.transform,V),W=$t(S.posMatrix,y,g,e.transform,V),q=w&&L.hasTextData(),G=\"none\"!==r.layout.get(\"icon-text-fit\")&&q&&L.hasIconData();v&&ne(L,S.posMatrix,e,a,U,W,y,u);var X=e.translatePosMatrix(S.posMatrix,A,o,s),Z=v||a&&w||G?Kn:U,J=e.translatePosMatrix(W,A,o,s,!0),K=O&&0!==r.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:P,buffers:C,uniformValues:O?L.iconsInText?qn(D.kind,R,_,y,e,X,Z,J,z,j):Wn(D.kind,R,_,y,e,X,Z,J,a,z,!0):Un(D.kind,R,_,y,e,X,Z,J,a,z),atlasTexture:F,atlasTextureIcon:B,atlasInterpolation:N,atlasInterpolationIcon:Y,isSDF:O,hasHalo:K};if(b)for(var Q=0,tt=C.segments.get();Q<tt.length;Q+=1){var et=tt[Q];k.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:$})}else k.push({segments:C.segments,sortKey:0,state:$})}}}b&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,rt=k;nt<rt.length;nt+=1){var it=rt[nt],at=it.state;if(f.activeTexture.set(p.TEXTURE0),at.atlasTexture.bind(at.atlasInterpolation,p.CLAMP_TO_EDGE),at.atlasTextureIcon&&(f.activeTexture.set(p.TEXTURE1),at.atlasTextureIcon&&at.atlasTextureIcon.bind(at.atlasInterpolationIcon,p.CLAMP_TO_EDGE)),at.isSDF){var ot=at.uniformValues;at.hasHalo&&(ot.u_is_halo=1,nr(at.buffers,it.segments,r,e,at.program,x,h,d,ot)),ot.u_is_halo=0}nr(at.buffers,it.segments,r,e,at.program,x,h,d,at.uniformValues)}}function nr(t,e,n,r,i,a,o,s,l){var c=r.context;i.draw(c,c.gl.TRIANGLES,a,o,s,Lt.disabled,l,n.id,t.layoutVertexBuffer,t.indexBuffer,e,n.paint,r.transform.zoom,t.programConfigurations.get(n.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rr(t,e,n,r,i,a,o){var s,l,c,u,h,d=t.context.gl,f=n.paint.get(\"fill-pattern\"),p=f&&f.constantOr(1),m=n.getCrossfadeParameters();o?(l=p&&!n.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=d.LINES):(l=p?\"fillPattern\":\"fill\",s=d.TRIANGLES);for(var g=0,y=r;g<y.length;g+=1){var v=y[g],_=e.getTile(v);if(!p||_.patternsLoaded()){var b=_.getBucket(n);if(b){var x=b.programConfigurations.get(n.id),w=t.useProgram(l,x);p&&(t.context.activeTexture.set(d.TEXTURE0),_.imageAtlasTexture.bind(d.LINEAR,d.CLAMP_TO_EDGE),x.updatePaintBuffers(m));var k=f.constantOr(null);if(k&&_.imageAtlas){var M=_.imageAtlas,T=M.patternPositions[k.to.toString()],S=M.patternPositions[k.from.toString()];T&&S&&x.setConstantPatternPositions(T,S)}var A=t.translatePosMatrix(v.posMatrix,_,n.paint.get(\"fill-translate\"),n.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var L=[d.drawingBufferWidth,d.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&p?Ln(A,t,m,_,L):An(A,L)}else u=b.indexBuffer,h=b.segments,c=p?Sn(A,t,m,_):Tn(A);w.draw(t.context,s,i,t.stencilModeForClipping(v),a,Lt.disabled,c,n.id,b.layoutVertexBuffer,u,h,n.paint,t.transform.zoom,x)}}}}function ir(t,e,n,r,i,a,o){for(var s=t.context,l=s.gl,c=n.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=n.getCrossfadeParameters(),d=n.paint.get(\"fill-extrusion-opacity\"),f=0,p=r;f<p.length;f+=1){var m=p[f],g=e.getTile(m),y=g.getBucket(n);if(y){var v=y.programConfigurations.get(n.id),_=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",v);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),v.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&g.imageAtlas){var x=g.imageAtlas,w=x.patternPositions[b.to.toString()],k=x.patternPositions[b.from.toString()];w&&k&&v.setConstantPatternPositions(w,k)}var M=t.translatePosMatrix(m.posMatrix,g,n.paint.get(\"fill-extrusion-translate\"),n.paint.get(\"fill-extrusion-translate-anchor\")),T=n.paint.get(\"fill-extrusion-vertical-gradient\"),S=u?Mn(M,t,T,d,m,h,g):kn(M,t,T,d);_.draw(s,s.gl.TRIANGLES,i,a,o,Lt.backCCW,S,n.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,n.paint,t.transform.zoom,v)}}}function ar(e,n,r,i,a,o){var s=e.context,l=s.gl,c=n.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,n,r){var i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\"),s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(n.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=n.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,n,r);u.draw(s,l.TRIANGLES,i,a,o,Lt.disabled,h,r.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function or(e,n,r,i,a,o,s){var l=e.context,c=l.gl,u=n.dem;if(u&&u.data){var h=u.dim,d=u.stride,f=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),n.demTexture=n.demTexture||e.getTileTexture(d),n.demTexture){var p=n.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else n.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),n.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=n.fbo;if(!m){var g=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=n.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Lt.disabled,function(e,n,r){var i=n.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:r,u_unpack:n.getUnpackVector()}}(n.tileID,u,i),r.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),n.needsHillshadePrepare=!1}}function sr(e,n,r,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=n?(s-n.timeAdded)/o:-1,u=r.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),d=!n||Math.abs(n.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),f=d&&e.refreshedUponExpiration?1:t.clamp(d?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),n?{opacity:1,mix:1-f}:{opacity:f,mix:0}}return{opacity:1,mix:0}}var lr=new t.Color(1,0,0,1),cr=new t.Color(0,1,0,1),ur=new t.Color(0,0,1,1),hr=new t.Color(1,0,1,1),dr=new t.Color(0,1,1,1);function fr(t,e,n,r){mr(t,0,e+n/2,t.transform.width,n,r)}function pr(t,e,n,r){mr(t,e-n/2,0,n,t.transform.height,r)}function mr(e,n,r,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(n*t.browser.devicePixelRatio,r*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function gr(e,n,r){var i=e.context,a=i.gl,o=r.posMatrix,s=e.useProgram(\"debug\"),l=Tt.disabled,c=St.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Dn(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=n.getTileByID(r.key).latestRawTileData,d=Math.floor((h&&h.byteLength||0)/1024),f=n.getTile(r).tileSize,p=512/Math.min(f,512)*(r.overscaledZ/e.transform.zoom)*.5,m=r.canonical.toString();r.overscaledZ!==r.canonical.z&&(m+=\" => \"+r.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var n=t.debugOverlayCanvas,r=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,n.width,n.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(n),t.debugOverlayTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)}(e,m+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,c,At.alphaBlended,Lt.disabled,Dn(o,t.Color.transparent,p),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var yr={symbol:function(e,n,r,i,a){if(\"translucent\"===e.renderPass){var o=St.disabled,s=e.colorModeForRenderPass();r.layout.get(\"text-variable-anchor\")&&function(e,n,r,i,a,o,s){for(var l=n.transform,c=\"map\"===a,u=\"map\"===o,h=0,d=e;h<d.length;h+=1){var f=d[h],p=i.getTile(f),m=p.getBucket(r);if(m&&m.text&&m.text.segments.get().length){var g=t.evaluateSizeForZoom(m.textSizeData,l.zoom),y=de(p,1,n.transform.zoom),v=Kt(f.posMatrix,u,c,n.transform,y),_=\"none\"!==r.layout.get(\"icon-text-fit\")&&m.hasIconData();if(g){var b=Math.pow(2,l.zoom-p.tileID.overscaledZ);Qn(m,c,u,s,t.symbolSize,l,v,f.posMatrix,b,g,_)}}}}(i,e,r,n,r.layout.get(\"text-rotation-alignment\"),r.layout.get(\"text-pitch-alignment\"),a),0!==r.paint.get(\"icon-opacity\").constantOr(1)&&er(e,n,r,i,!1,r.paint.get(\"icon-translate\"),r.paint.get(\"icon-translate-anchor\"),r.layout.get(\"icon-rotation-alignment\"),r.layout.get(\"icon-pitch-alignment\"),r.layout.get(\"icon-keep-upright\"),o,s),0!==r.paint.get(\"text-opacity\").constantOr(1)&&er(e,n,r,i,!0,r.paint.get(\"text-translate\"),r.paint.get(\"text-translate-anchor\"),r.layout.get(\"text-rotation-alignment\"),r.layout.get(\"text-pitch-alignment\"),r.layout.get(\"text-keep-upright\"),o,s),n.map.showCollisionBoxes&&(Jn(e,n,r,i,r.paint.get(\"text-translate\"),r.paint.get(\"text-translate-anchor\"),!0),Jn(e,n,r,i,r.paint.get(\"icon-translate\"),r.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,n,r,i){if(\"translucent\"===e.renderPass){var a=r.paint.get(\"circle-opacity\"),o=r.paint.get(\"circle-stroke-width\"),s=r.paint.get(\"circle-stroke-opacity\"),l=void 0!==r.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Tt.ReadOnly),d=St.disabled,f=e.colorModeForRenderPass(),p=[],m=0;m<i.length;m++){var g=i[m],y=n.getTile(g),v=y.getBucket(r);if(v){var _=v.programConfigurations.get(r.id),b={programConfiguration:_,program:e.useProgram(\"circle\",_),layoutVertexBuffer:v.layoutVertexBuffer,indexBuffer:v.indexBuffer,uniformValues:Cn(e,g,y,r)};if(l)for(var x=0,w=v.segments.get();x<w.length;x+=1){var k=w[x];p.push({segments:new t.SegmentVector([k]),sortKey:k.sortKey,state:b})}else p.push({segments:v.segments,sortKey:0,state:b})}}l&&p.sort((function(t,e){return t.sortKey-e.sortKey}));for(var M=0,T=p;M<T.length;M+=1){var S=T[M],A=S.state;A.program.draw(c,u.TRIANGLES,h,d,f,Lt.disabled,A.uniformValues,r.id,A.layoutVertexBuffer,A.indexBuffer,S.segments,r.paint,e.transform.zoom,A.programConfiguration)}}}},heatmap:function(e,n,r,i){if(0!==r.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=St.disabled,l=new At([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,n){var r=t.gl;t.activeTexture.set(r.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=n.heatmapFbo;if(i)r.bindTexture(r.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=r.createTexture();r.bindTexture(r.TEXTURE_2D,a),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_MIN_FILTER,r.LINEAR),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_MAG_FILTER,r.LINEAR),i=n.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,n,r){var i=t.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),r.colorAttachment.set(n)}(t,e,a,i)}}(a,e,r),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!n.hasRenderableParent(u)){var h=n.getTile(u),d=h.getBucket(r);if(d){var f=d.programConfigurations.get(r.id);e.useProgram(\"heatmap\",f).draw(a,o.TRIANGLES,Tt.disabled,s,l,Lt.disabled,Pn(u.posMatrix,h,e.transform.zoom,r.paint.get(\"heatmap-intensity\")),r.id,d.layoutVertexBuffer,d.indexBuffer,d.segments,r.paint,e.transform.zoom,f)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,n){var r=e.context,i=r.gl,a=n.heatmapFbo;if(a){r.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),r.activeTexture.set(i.TEXTURE1);var o=n.colorRampTexture;o||(o=n.colorRampTexture=new t.Texture(r,n.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(r,i.TRIANGLES,Tt.disabled,St.disabled,e.colorModeForRenderPass(),Lt.disabled,function(e,n,r,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:n.paint.get(\"heatmap-opacity\")}}(e,n),n.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,n.paint,e.transform.zoom)}}(e,r))},line:function(e,n,r,i){if(\"translucent\"===e.renderPass){var a=r.paint.get(\"line-opacity\"),o=r.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Tt.ReadOnly),l=e.colorModeForRenderPass(),c=r.paint.get(\"line-dasharray\"),u=r.paint.get(\"line-pattern\"),h=u.constantOr(1),d=r.paint.get(\"line-gradient\"),f=r.getCrossfadeParameters(),p=h?\"linePattern\":c?\"lineSDF\":d?\"lineGradient\":\"line\",m=e.context,g=m.gl,y=!0;if(d){m.activeTexture.set(g.TEXTURE0);var v=r.gradientTexture;if(!r.gradient)return;v||(v=r.gradientTexture=new t.Texture(m,r.gradient,g.RGBA)),v.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var _=0,b=i;_<b.length;_+=1){var x=b[_],w=n.getTile(x);if(!h||w.patternsLoaded()){var k=w.getBucket(r);if(k){var M=k.programConfigurations.get(r.id),T=e.context.program.get(),S=e.useProgram(p,M),A=y||S.program!==T,L=u.constantOr(null);if(L&&w.imageAtlas){var C=w.imageAtlas,E=C.patternPositions[L.to.toString()],O=C.patternPositions[L.from.toString()];E&&O&&M.setConstantPatternPositions(E,O)}var D=h?jn(e,w,r,f):c?Fn(e,w,r,c,f):d?zn(e,w,r):Rn(e,w,r);h?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),M.updatePaintBuffers(f)):c&&(A||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),S.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(x),l,Lt.disabled,D,r.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,r.paint,e.transform.zoom,M),y=!1}}}}}},fill:function(e,n,r,i){var a=r.paint.get(\"fill-color\"),o=r.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=r.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Tt.ReadWrite:Tt.ReadOnly);rr(e,n,r,i,u,s,!1)}if(\"translucent\"===e.renderPass&&r.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(r.getPaintProperty(\"fill-outline-color\")?2:0,Tt.ReadOnly);rr(e,n,r,i,h,s,!0)}}},\"fill-extrusion\":function(t,e,n,r){var i=n.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Tt(t.context.gl.LEQUAL,Tt.ReadWrite,t.depthRangeFor3D);if(1!==i||n.paint.get(\"fill-extrusion-pattern\").constantOr(1))ir(t,e,n,r,a,St.disabled,At.disabled),ir(t,e,n,r,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ir(t,e,n,r,a,St.disabled,o)}}},hillshade:function(t,e,n,r){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Tt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(r):[{},r],c=l[0],u=0,h=l[1];u<h.length;u+=1){var d=h[u],f=e.getTile(d);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?or(t,f,n,a,o,St.disabled,s):\"translucent\"===t.renderPass&&ar(t,f,n,o,c[d.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,n,r){if(\"translucent\"===t.renderPass&&0!==n.paint.get(\"raster-opacity\")&&r.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof D?[{},r]:t.stencilConfigForOverlap(r),u=c[0],h=c[1],d=h[h.length-1].overscaledZ,f=!t.options.moving,p=0,m=h;p<m.length;p+=1){var g=m[p],y=t.depthModeForSublayer(g.overscaledZ-d,1===n.paint.get(\"raster-opacity\")?Tt.ReadWrite:Tt.ReadOnly,a.LESS),v=e.getTile(g),_=t.transform.calculatePosMatrix(g.toUnwrapped(),f);v.registerFadeDuration(n.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),x=sr(v,b,e,n,t.transform),w=void 0,k=void 0,M=\"nearest\"===n.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(M,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(M,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-v.tileID.overscaledZ),k=[v.tileID.canonical.x*w%1,v.tileID.canonical.y*w%1]):v.texture.bind(M,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var T=Yn(_,k||[0,0],w||1,x,n);o instanceof D?s.draw(i,a.TRIANGLES,y,St.disabled,l,Lt.disabled,T,n.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,u[g.overscaledZ],l,Lt.disabled,T,n.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,n){var r=n.paint.get(\"background-color\"),i=n.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=n.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===r.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=St.disabled,d=t.depthModeForSublayer(0,\"opaque\"===u?Tt.ReadWrite:Tt.ReadOnly),f=t.colorModeForRenderPass(),p=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=n.getCrossfadeParameters(),y=0,v=m;y<v.length;y+=1){var _=v[y],b=t.transform.calculatePosMatrix(_.toUnwrapped()),x=c?Xn(b,i,t,c,{tileID:_,tileSize:l},g):Gn(b,i,r);p.draw(a,o.TRIANGLES,d,h,f,Lt.disabled,x,n.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,n){for(var r=0;r<n.length;r++)gr(t,e,n[r])},custom:function(t,e,n){var r=t.context,i=n.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),r.setColorMode(t.colorModeForRenderPass()),a.call(i,r.gl,t.transform.customLayerMatrix()),r.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),r.setColorMode(t.colorModeForRenderPass()),r.setStencilMode(St.disabled);var o=\"3d\"===i.renderingMode?new Tt(t.context.gl.LEQUAL,Tt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Tt.ReadOnly);r.setDepthMode(o),i.render(r.gl,t.transform.customLayerMatrix()),r.setDirty(),t.setBaseState(),r.bindFramebuffer.set(null)}}},vr=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Et.maxUnderzooming+Et.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Fe,this.gpuTimers={}};vr.prototype.resize=function(e,n){if(this.width=e*t.browser.devicePixelRatio,this.height=n*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var r=0,i=this.style._order;r<i.length;r+=1)this.style._layers[i[r]].resize()},vr.prototype.setup=function(){var e=this.context,n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(n,Ue.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(r,Ue.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ue.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new St({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},vr.prototype.clearStencil=function(){var e=this.context,n=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var r=t.create();t.ortho(r,0,this.width,this.height,0,0,1),t.scale(r,r,[n.drawingBufferWidth,n.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,n.TRIANGLES,Tt.disabled,this.stencilClearMode,At.disabled,Lt.disabled,In(r),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},vr.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var n=this.context,r=n.gl;this.nextStencilID+e.length>256&&this.clearStencil(),n.setColorMode(At.disabled),n.setDepthMode(Tt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(n,r.TRIANGLES,Tt.disabled,new St({func:r.ALWAYS,mask:0},l,255,r.KEEP,r.KEEP,r.REPLACE),At.disabled,Lt.disabled,In(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},vr.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new St({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},vr.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new St({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},vr.prototype.stencilConfigForOverlap=function(t){var e,n=this.context.gl,r=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=r[r.length-1].overscaledZ,a=r[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new St({func:n.GEQUAL,mask:255},s+this.nextStencilID,255,n.KEEP,n.KEEP,n.REPLACE);return this.nextStencilID+=a,[o,r]}return[(e={},e[i]=St.disabled,e),r]},vr.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new At([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?At.unblended:At.alphaBlended},vr.prototype.depthModeForSublayer=function(t,e,n){if(!this.opaquePassEnabledForLayer())return Tt.disabled;var r=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Tt(n||this.context.gl.LEQUAL,e,[r,r])},vr.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},vr.prototype.render=function(e,n){var r=this;this.style=e,this.options=n,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},d={};for(var f in a){var p=a[f];u[f]=p.getVisibleCoordinates(),h[f]=u[f].slice().reverse(),d[f]=p.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++)if(this.style._layers[i[m]].is3D()){this.opaquePassCutoff=m;break}this.renderPass=\"offscreen\";for(var g=0,y=i;g<y.length;g+=1){var v=this.style._layers[y[g]];if(v.hasOffscreenPass()&&!v.isHidden(this.transform.zoom)){var _=h[v.source];(\"custom\"===v.type||_.length)&&this.renderLayer(this,a[v.source],v,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:n.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=n.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[i[this.currentLayer]],x=a[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,x,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var k=this.style._layers[i[this.currentLayer]],M=a[k.source],T=(\"symbol\"===k.type?d:h)[k.source];this._renderTileClippingMasks(k,u[k.source]),this.renderLayer(this,M,k,T)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(r.transform.zoom)&&(t.source!==(c&&c.id)&&(c=r.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&yr.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;fr(t,t.transform.height-(e.top||0),3,lr),fr(t,e.bottom||0,3,cr),pr(t,e.left||0,3,ur),pr(t,t.transform.width-(e.right||0),3,hr);var n=t.transform.centerPoint;!function(t,e,n,r){mr(t,e-1,n-10,2,20,r),mr(t,e-10,n-1,20,2,r)}(t,n.x,t.transform.height-n.y,dr)}(this),this.context.setDefault()},vr.prototype.renderLayer=function(t,e,n,r){n.isHidden(this.transform.zoom)||(\"background\"===n.type||\"custom\"===n.type||r.length)&&(this.id=n.id,this.gpuTimingStart(n),yr[n.type](t,e,n,r,this.style.placement.variableOffsets),this.gpuTimingEnd())},vr.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,n=this.gpuTimers[t.id];n||(n=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),n.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,n.query)}},vr.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},vr.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},vr.prototype.queryGpuTimers=function(t){var e={};for(var n in t){var r=t[n],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(r.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r.query),e[n]=a}return e},vr.prototype.translatePosMatrix=function(e,n,r,i,a){if(!r[0]&&!r[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);r=[r[0]*l-r[1]*s,r[0]*s+r[1]*l]}var c=[a?r[0]:de(n,r[0],this.transform.zoom),a?r[1]:de(n,r[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},vr.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},vr.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},vr.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),n=this.imageManager.getPattern(t.to.toString());return!e||!n},vr.prototype.useProgram=function(t,e){this.cache=this.cache||{};var n=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[n]||(this.cache[n]=new xn(this.context,_n[t],e,Zn[t],this._showOverdrawInspector)),this.cache[n]},vr.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},vr.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},vr.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},vr.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var _r=function(t,e){this.points=t,this.planes=e};_r.fromInvProjectionMatrix=function(e,n,r){var i=Math.pow(2,r),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(n){return t.transformMat4([],n,e)})).map((function(e){return t.scale$1([],e,1/e[3]/n*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var n=t.sub([],a[e[0]],a[e[1]]),r=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],n,r)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new _r(a,o)};var br=function(e,n){this.min=e,this.max=n,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};br.prototype.quadrant=function(e){for(var n=[e%2==0,e<2],r=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<n.length;a++)r[a]=n[a]?this.min[a]:this.center[a],i[a]=n[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new br(r,i)},br.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},br.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},br.prototype.intersects=function(e){for(var n=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],r=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<n.length;s++)o+=t.dot$1(a,n[s])>=0;if(0===o)return 0;o!==n.length&&(r=!1)}if(r)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var d=e.points[h][l]-this.min[l];c=Math.min(c,d),u=Math.max(u,d)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var xr=function(t,e,n,r){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===n&&(n=0),void 0===r&&(r=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(n)||n<0||isNaN(r)||r<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=n,this.right=r};xr.prototype.interpolate=function(e,n,r){return null!=n.top&&null!=e.top&&(this.top=t.number(e.top,n.top,r)),null!=n.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,n.bottom,r)),null!=n.left&&null!=e.left&&(this.left=t.number(e.left,n.left,r)),null!=n.right&&null!=e.right&&(this.right=t.number(e.right,n.right,r)),this},xr.prototype.getCenter=function(e,n){var r=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+n-this.bottom)/2,0,n);return new t.Point(r,i)},xr.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},xr.prototype.clone=function(){return new xr(this.top,this.bottom,this.left,this.right)},xr.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wr=function(e,n,r,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=n||22,this._minPitch=null==r?0:r,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new xr,this._posMatrixCache={},this._alignedPosMatrixCache={}},kr={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wr.prototype.clone=function(){var t=new wr(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},kr.minZoom.get=function(){return this._minZoom},kr.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},kr.maxZoom.get=function(){return this._maxZoom},kr.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},kr.minPitch.get=function(){return this._minPitch},kr.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},kr.maxPitch.get=function(){return this._maxPitch},kr.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},kr.renderWorldCopies.get=function(){return this._renderWorldCopies},kr.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},kr.worldSize.get=function(){return this.tileSize*this.scale},kr.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},kr.size.get=function(){return new t.Point(this.width,this.height)},kr.bearing.get=function(){return-this.angle/Math.PI*180},kr.bearing.set=function(e){var n=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==n&&(this._unmodified=!1,this.angle=n,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},kr.pitch.get=function(){return this._pitch/Math.PI*180},kr.pitch.set=function(e){var n=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==n&&(this._unmodified=!1,this._pitch=n,this._calcMatrices())},kr.fov.get=function(){return this._fov/Math.PI*180},kr.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},kr.zoom.get=function(){return this._zoom},kr.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},kr.center.get=function(){return this._center},kr.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},kr.padding.get=function(){return this._edgeInsets.toJSON()},kr.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},kr.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wr.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wr.prototype.interpolatePadding=function(t,e,n){this._unmodified=!1,this._edgeInsets.interpolate(t,e,n),this._constrain(),this._calcMatrices()},wr.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wr.prototype.getVisibleUnwrappedCoordinates=function(e){var n=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var r=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(r.x,i.x,a.x,o.x)),l=Math.floor(Math.max(r.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&n.push(new t.UnwrappedTileID(c,e));return n},wr.prototype.coveringTiles=function(e){var n=this.coveringZoomLevel(e),r=n;if(void 0!==e.minzoom&&n<e.minzoom)return[];void 0!==e.maxzoom&&n>e.maxzoom&&(n=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,n),o=[a*i.x,a*i.y,0],s=_r.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,n),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=n);var c=function(t){return{aabb:new br([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],d=n,f=e.reparseOverscaled?r:n;if(this._renderWorldCopies)for(var p=1;p<=3;p++)u.push(c(-p)),u.push(c(p));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var _=m.aabb.intersects(s);if(0===_)continue;v=2===_}var b=m.aabb.distanceX(o),x=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(x));if(m.zoom===d||w>3+(1<<d-m.zoom)-2&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===d?f:m.zoom,m.wrap,m.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var M=(g<<1)+k%2,T=(y<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:M,y:T,wrap:m.wrap,fullyVisible:v})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wr.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},kr.unmodified.get=function(){return this._unmodified},wr.prototype.zoomScale=function(t){return Math.pow(2,t)},wr.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wr.prototype.project=function(e){var n=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(n)*this.worldSize)},wr.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},kr.point.get=function(){return this.project(this.center)},wr.prototype.setLocationAtPoint=function(e,n){var r=this.pointCoordinate(n),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(r.x-i.x),a.y-(r.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wr.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wr.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wr.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wr.prototype.coordinateLocation=function(t){return t.toLngLat()},wr.prototype.pointCoordinate=function(e){var n=[e.x,e.y,0,1],r=[e.x,e.y,1,1];t.transformMat4(n,n,this.pixelMatrixInverse),t.transformMat4(r,r,this.pixelMatrixInverse);var i=n[3],a=r[3],o=n[1]/i,s=r[1]/a,l=n[2]/i,c=r[2]/a,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(n[0]/i,r[0]/a,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wr.prototype.coordinatePoint=function(e){var n=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(n,n,this.pixelMatrix),new t.Point(n[0]/n[3],n[1]/n[3])},wr.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wr.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wr.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wr.prototype.calculatePosMatrix=function(e,n){void 0===n&&(n=!1);var r=e.key,i=n?this._alignedPosMatrixCache:this._posMatrixCache;if(i[r])return i[r];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,n?this.alignedProjMatrix:this.projMatrix,l),i[r]=new Float32Array(l),i[r]},wr.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wr.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,n,r,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var d=this.lngRange;s=t.mercatorXfromLng(d[0])*this.worldSize,n=(l=t.mercatorXfromLng(d[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var f=this.point,p=Math.max(n||0,e||0);if(p)return this.center=this.unproject(new t.Point(n?(l+s)/2:f.x,e?(o+a)/2:f.y)),this.zoom+=this.scaleZoom(p),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=f.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var y=f.x,v=c.x/2;y-v<s&&(r=s+v),y+v>l&&(r=l-v)}void 0===r&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==r?r:f.x,void 0!==i?i:f.y))),this._unmodified=u,this._constraining=!1}},wr.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var n=Math.PI/2+this._pitch,r=this._fov*(.5+e.y/this.height),i=Math.sin(r)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-r,.01,Math.PI-.01)),a=this.point,o=a.x,s=a.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*i+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,d=this.height%2/2,f=Math.cos(this.angle),p=Math.sin(this.angle),m=o-Math.round(o)+f*h+p*d,g=s-Math.round(s)+f*d+p*h,y=new Float64Array(u);if(t.translate(y,y,[m>.5?m-1:m,g>.5?g-1:g,0]),this.alignedProjMatrix=y,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wr.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),n=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(n,n,this.pixelMatrix)[3]/this.cameraToCenterDistance},wr.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wr.prototype.getCameraQueryGeometry=function(e){var n=this.getCameraPoint();if(1===e.length)return[e[0],n];for(var r=n.x,i=n.y,a=n.x,o=n.y,s=0,l=e;s<l.length;s+=1){var c=l[s];r=Math.min(r,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(r,i),new t.Point(a,i),new t.Point(a,o),new t.Point(r,o),new t.Point(r,i)]},Object.defineProperties(wr.prototype,kr);var Mr=function(e){var n,r,i,a;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(n=this._updateHashUnthrottled.bind(this),r=!1,i=null,a=function(){i=null,r&&(n(),i=setTimeout(a,300),r=!1)},function(){return r=!0,i||a(),i})};Mr.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Mr.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Mr.prototype.getHashString=function(e){var n=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,i=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(n.lng*a)/a,s=Math.round(n.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+r:r+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,d=!1,f=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(d=!0,e+\"=\"+u):t})).filter((function(t){return t}));return d||f.push(h+\"=\"+u),\"#\"+f.join(\"&\")}return\"#\"+u},Mr.prototype._getCurrentHash=function(){var e,n=this,r=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(r.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===n._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):r.split(\"/\")},Mr.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Mr.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Tr={linearity:.3,easing:t.bezier(0,0,.3,1)},Sr=t.extend({deceleration:2500,maxSpeed:1400},Tr),Ar=t.extend({deceleration:20,maxSpeed:1400},Tr),Lr=t.extend({deceleration:1e3,maxSpeed:360},Tr),Cr=t.extend({deceleration:1e3,maxSpeed:90},Tr),Er=function(t){this._map=t,this.clear()};function Or(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dr(e,n,r){var i=r.maxSpeed,a=r.linearity,o=r.deceleration,s=t.clamp(e*a/(n/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:r.easing,duration:1e3*l,amount:s*(l/2)}}Er.prototype.clear=function(){this._inertiaBuffer=[]},Er.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Er.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,n=t.browser.now();e.length>0&&n-e[0].time>160;)e.shift()},Er.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var n={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},r=0,i=this._inertiaBuffer;r<i.length;r+=1){var a=i[r].settings;n.zoom+=a.zoomDelta||0,n.bearing+=a.bearingDelta||0,n.pitch+=a.pitchDelta||0,a.panDelta&&n.pan._add(a.panDelta),a.around&&(n.around=a.around),a.pinchAround&&(n.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(n.pan.mag()){var l=Dr(n.pan.mag(),o,t.extend({},Sr,e||{}));s.offset=n.pan.mult(l.amount/n.pan.mag()),s.center=this._map.transform.center,Or(s,l)}if(n.zoom){var c=Dr(n.zoom,o,Ar);s.zoom=this._map.transform.zoom+c.amount,Or(s,c)}if(n.bearing){var u=Dr(n.bearing,o,Lr);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Or(s,u)}if(n.pitch){var h=Dr(n.pitch,o,Cr);s.pitch=this._map.transform.pitch+h.amount,Or(s,h)}if(s.zoom||s.bearing){var d=void 0===n.pinchAround?n.around:n.pinchAround;s.around=d?this._map.unproject(d):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Ir=function(e){function r(r,i,a,o){void 0===o&&(o={});var s=n.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,r,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r;var i={defaultPrevented:{configurable:!0}};return r.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(r.prototype,i),r}(t.Event),Pr=function(e){function r(r,i,a){var o=\"touchend\"===r?a.changedTouches:a.touches,s=n.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,n,r){return t.add(e.div(r.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,r,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r;var i={defaultPrevented:{configurable:!0}};return r.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(r.prototype,i),r}(t.Event),Rr=function(t){function e(e,n,r){t.call(this,e,{originalEvent:r}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var n={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},n.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,n),e}(t.Event),zr=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};zr.prototype.reset=function(){delete this._mousedownPos},zr.prototype.wheel=function(t){return this._firePreventable(new Rr(t.type,this._map,t))},zr.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Ir(t.type,this._map,t))},zr.prototype.mouseup=function(t){this._map.fire(new Ir(t.type,this._map,t))},zr.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Ir(t.type,this._map,t))},zr.prototype.dblclick=function(t){return this._firePreventable(new Ir(t.type,this._map,t))},zr.prototype.mouseover=function(t){this._map.fire(new Ir(t.type,this._map,t))},zr.prototype.mouseout=function(t){this._map.fire(new Ir(t.type,this._map,t))},zr.prototype.touchstart=function(t){return this._firePreventable(new Pr(t.type,this._map,t))},zr.prototype.touchmove=function(t){this._map.fire(new Pr(t.type,this._map,t))},zr.prototype.touchend=function(t){this._map.fire(new Pr(t.type,this._map,t))},zr.prototype.touchcancel=function(t){this._map.fire(new Pr(t.type,this._map,t))},zr.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},zr.prototype.isEnabled=function(){return!0},zr.prototype.isActive=function(){return!1},zr.prototype.enable=function(){},zr.prototype.disable=function(){};var jr=function(t){this._map=t};jr.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jr.prototype.mousemove=function(t){this._map.fire(new Ir(t.type,this._map,t))},jr.prototype.mousedown=function(){this._delayContextMenu=!0},jr.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Ir(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jr.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Ir(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jr.prototype.isEnabled=function(){return!0},jr.prototype.isActive=function(){return!1},jr.prototype.enable=function(){},jr.prototype.disable=function(){};var Fr=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nr(t,e){for(var n={},r=0;r<t.length;r++)n[t[r].identifier]=e[r];return n}Fr.prototype.isEnabled=function(){return!!this._enabled},Fr.prototype.isActive=function(){return!!this._active},Fr.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Fr.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Fr.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(n.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Fr.prototype.mousemoveWindow=function(t,e){if(this._active){var r=e;if(!(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=r,this._box||(this._box=n.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,r.x),o=Math.max(i.x,r.x),s=Math.min(i.y,r.y),l=Math.max(i.y,r.y);n.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Fr.prototype.mouseupWindow=function(e,r){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=r;if(this.reset(),n.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Fr.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Fr.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(n.remove(this._box),this._box=null),n.enableDrag(),delete this._startPos,delete this._lastPos},Fr.prototype._fireEvent=function(e,n){return this._map.fire(new t.Event(e,{originalEvent:n}))};var Br=function(t){this.reset(),this.numTouches=t.numTouches};Br.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Br.prototype.touchstart=function(e,n,r){(this.centroid||r.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),r.length===this.numTouches&&(this.centroid=function(e){for(var n=new t.Point(0,0),r=0,i=e;r<i.length;r+=1)n._add(i[r]);return n.div(e.length)}(n),this.touches=Nr(r,n)))},Br.prototype.touchmove=function(t,e,n){if(!this.aborted&&this.centroid){var r=Nr(n,e);for(var i in this.touches){var a=r[i];(!a||a.dist(this.touches[i])>30)&&(this.aborted=!0)}}},Br.prototype.touchend=function(t,e,n){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===n.length){var r=!this.aborted&&this.centroid;if(this.reset(),r)return r}};var Yr=function(t){this.singleTap=new Br(t),this.numTaps=t.numTaps,this.reset()};Yr.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Yr.prototype.touchstart=function(t,e,n){this.singleTap.touchstart(t,e,n)},Yr.prototype.touchmove=function(t,e,n){this.singleTap.touchmove(t,e,n)},Yr.prototype.touchend=function(t,e,n){var r=this.singleTap.touchend(t,e,n);if(r){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(r)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=r,this.count===this.numTaps)return this.reset(),r}};var Hr=function(){this._zoomIn=new Yr({numTouches:1,numTaps:2}),this._zoomOut=new Yr({numTouches:2,numTaps:1}),this.reset()};Hr.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Hr.prototype.touchstart=function(t,e,n){this._zoomIn.touchstart(t,e,n),this._zoomOut.touchstart(t,e,n)},Hr.prototype.touchmove=function(t,e,n){this._zoomIn.touchmove(t,e,n),this._zoomOut.touchmove(t,e,n)},Hr.prototype.touchend=function(t,e,n){var r=this,i=this._zoomIn.touchend(t,e,n),a=this._zoomOut.touchend(t,e,n);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return r.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return r.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Hr.prototype.touchcancel=function(){this.reset()},Hr.prototype.enable=function(){this._enabled=!0},Hr.prototype.disable=function(){this._enabled=!1,this.reset()},Hr.prototype.isEnabled=function(){return this._enabled},Hr.prototype.isActive=function(){return this._active};var Vr=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Vr.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Vr.prototype._correctButton=function(t,e){return!1},Vr.prototype._move=function(t,e){return{}},Vr.prototype.mousedown=function(t,e){if(!this._lastPoint){var r=n.mouseButton(t);this._correctButton(t,r)&&(this._lastPoint=e,this._eventButton=r)}},Vr.prototype.mousemoveWindow=function(t,e){var n=this._lastPoint;if(n&&(t.preventDefault(),this._moved||!(e.dist(n)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(n,e)},Vr.prototype.mouseupWindow=function(t){n.mouseButton(t)===this._eventButton&&(this._moved&&n.suppressClick(),this.reset())},Vr.prototype.enable=function(){this._enabled=!0},Vr.prototype.disable=function(){this._enabled=!1,this.reset()},Vr.prototype.isEnabled=function(){return this._enabled},Vr.prototype.isActive=function(){return this._active};var Ur=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,n){t.prototype.mousedown.call(this,e,n),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Vr),Wr=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var n=.8*(e.x-t.x);if(n)return this._active=!0,{bearingDelta:n}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Vr),qr=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var n=-.5*(e.y-t.y);if(n)return this._active=!0,{pitchDelta:n}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Vr),Gr=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Gr.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Gr.prototype.touchstart=function(t,e,n){return this._calculateTransform(t,e,n)},Gr.prototype.touchmove=function(t,e,n){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,n)},Gr.prototype.touchend=function(t,e,n){this._calculateTransform(t,e,n),this._active&&n.length<this._minTouches&&this.reset()},Gr.prototype.touchcancel=function(){this.reset()},Gr.prototype._calculateTransform=function(e,n,r){r.length>0&&(this._active=!0);var i=Nr(r,n),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:h}}},Gr.prototype.enable=function(){this._enabled=!0},Gr.prototype.disable=function(){this._enabled=!1,this.reset()},Gr.prototype.isEnabled=function(){return this._enabled},Gr.prototype.isActive=function(){return this._active};var Xr=function(){this.reset()};function Zr(t,e,n){for(var r=0;r<t.length;r++)if(t[r].identifier===n)return e[r]}function Jr(t,e){return Math.log(t/e)/Math.LN2}Xr.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Xr.prototype._start=function(t){},Xr.prototype._move=function(t,e,n){return{}},Xr.prototype.touchstart=function(t,e,n){this._firstTwoTouches||n.length<2||(this._firstTwoTouches=[n[0].identifier,n[1].identifier],this._start([e[0],e[1]]))},Xr.prototype.touchmove=function(t,e,n){if(this._firstTwoTouches){t.preventDefault();var r=this._firstTwoTouches,i=r[1],a=Zr(n,e,r[0]),o=Zr(n,e,i);if(a&&o){var s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}}},Xr.prototype.touchend=function(t,e,r){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[1],o=Zr(r,e,i[0]),s=Zr(r,e,a);o&&s||(this._active&&n.suppressClick(),this.reset())}},Xr.prototype.touchcancel=function(){this.reset()},Xr.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Xr.prototype.disable=function(){this._enabled=!1,this.reset()},Xr.prototype.isEnabled=function(){return this._enabled},Xr.prototype.isActive=function(){return this._active};var Kr=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var n=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jr(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jr(this._distance,n),pinchAround:e}},e}(Xr);function $r(t,e){return 180*t.angleWith(e)/Math.PI}var Qr=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var n=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:$r(this._vector,n),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,n=$r(t,this._startVector);return Math.abs(n)<e},e}(Xr);function ti(t){return Math.abs(t.y)>Math.abs(t.x)}var ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ti(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,n){var r=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(r,i,n.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(r.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,n){if(void 0!==this._valid)return this._valid;var r=t.mag()>=2,i=e.mag()>=2;if(r||i){if(!r||!i)return void 0===this._firstMove&&(this._firstMove=n),n-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ti(t)&&ti(e)&&a}},e}(Xr),ni={panStep:100,bearingStep:15,pitchStep:10},ri=function(){var t=ni;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ii(t){return t*(2-t)}ri.prototype.reset=function(){this._active=!1},ri.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var n=0,r=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:n=1;break;case 189:case 109:case 173:n=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:ii,zoom:n?Math.round(l)+n*(t.shiftKey?2:1):l,bearing:s.getBearing()+r*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},ri.prototype.enable=function(){this._enabled=!0},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};var ai=function(e,n){this._map=e,this._el=e.getCanvasContainer(),this._handler=n,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ai.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ai.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ai.prototype.isEnabled=function(){return!!this._enabled},ai.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ai.prototype.isZooming=function(){return!!this._zooming},ai.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ai.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ai.prototype.wheel=function(e){if(this.isEnabled()){var n=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,r=t.browser.now(),i=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==n&&n%4.000244140625==0?this._type=\"wheel\":0!==n&&Math.abs(n)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=n,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*n)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,n+=this._lastValue)),e.shiftKey&&n&&(n/=4),this._type&&(this._lastWheelEvent=e,this._delta-=n,this._active||this._start(e)),e.preventDefault()}},ai.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ai.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var r=n.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(r)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ai.prototype.renderFrame=function(){return this._onScrollFrame()},ai.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var n=this._map.transform;if(0!==this._delta){var r=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*r)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?n.zoomScale(this._targetZoom):n.scale;this._targetZoom=Math.min(n.maxZoom,Math.max(n.minZoom,n.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=n.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:n.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),d=c(h);o=t.number(l,s,d),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-n.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ai.prototype._smoothOutEasing=function(e){var n=t.ease;if(this._prevEase){var r=this._prevEase,i=(t.browser.now()-r.start)/r.duration,a=r.easing(i+.01)-r.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);n=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:n},n},ai.prototype.reset=function(){this._active=!1};var oi=function(t,e){this._clickZoom=t,this._tapZoom=e};oi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var si=function(){this.reset()};si.prototype.reset=function(){this._active=!1},si.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(n){n.easeTo({duration:300,zoom:n.getZoom()+(t.shiftKey?-1:1),around:n.unproject(e)},{originalEvent:t})}}},si.prototype.enable=function(){this._enabled=!0},si.prototype.disable=function(){this._enabled=!1,this.reset()},si.prototype.isEnabled=function(){return this._enabled},si.prototype.isActive=function(){return this._active};var li=function(){this._tap=new Yr({numTouches:1,numTaps:1}),this.reset()};li.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},li.prototype.touchstart=function(t,e,n){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?n.length>0&&(this._swipePoint=e[0],this._swipeTouch=n[0].identifier):this._tap.touchstart(t,e,n))},li.prototype.touchmove=function(t,e,n){if(this._tapTime){if(this._swipePoint){if(n[0].identifier!==this._swipeTouch)return;var r=e[0],i=r.y-this._swipePoint.y;return this._swipePoint=r,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,n)},li.prototype.touchend=function(t,e,n){this._tapTime?this._swipePoint&&0===n.length&&this.reset():this._tap.touchend(t,e,n)&&(this._tapTime=t.timeStamp)},li.prototype.touchcancel=function(){this.reset()},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=function(t,e,n){this._el=t,this._mousePan=e,this._touchPan=n};ci.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ci.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ci.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ci.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ui=function(t,e,n){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=n};ui.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ui.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ui.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ui.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var hi=function(t,e,n,r){this._el=t,this._touchZoom=e,this._touchRotate=n,this._tapDragZoom=r,this._rotationDisabled=!1,this._enabled=!0};hi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},hi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},hi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},hi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},hi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},hi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var di=function(t){return t.zoom||t.drag||t.pitch||t.rotate},fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function pi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var mi=function(e,r){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Er(e),this._bearingSnap=r.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(r),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0];n.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};mi.prototype.destroy=function(){for(var e=0,r=this._listeners;e<r.length;e+=1){var i=r[e],a=i[0];n.removeEventListener(a,i[1],a===t.window.document?this.handleWindowEvent:this.handleEvent,i[2])}},mi.prototype._addDefaultHandlers=function(t){var e=this._map,n=e.getCanvasContainer();this._add(\"mapEvent\",new zr(e,t));var r=e.boxZoom=new Fr(e,t);this._add(\"boxZoom\",r);var i=new Hr,a=new si;e.doubleClickZoom=new oi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new li;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ei;this._add(\"touchPitch\",s);var l=new Wr(t),c=new qr(t);e.dragRotate=new ui(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Ur(t),h=new Gr(t);e.dragPan=new ci(n,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var d=new Qr,f=new Kr;e.touchZoomRotate=new hi(n,f,d,o),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",f,[\"touchPan\",\"touchRotate\"]);var p=e.scrollZoom=new ai(e,this);this._add(\"scrollZoom\",p,[\"mousePan\"]);var m=e.keyboard=new ri;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jr(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var v=y[g];t.interactive&&t[v]&&e[v].enable(t[v])}},mi.prototype._add=function(t,e,n){this._handlers.push({handlerName:t,handler:e,allowed:n}),this._handlersById[t]=e},mi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},mi.prototype.isMoving=function(){return Boolean(di(this._eventsInProgress))||this.isZooming()},mi.prototype._blockedByActive=function(t,e,n){for(var r in t)if(r!==n&&(!e||e.indexOf(r)<0))return!0;return!1},mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},mi.prototype._getMapTouches=function(t){for(var e=[],n=0,r=t;n<r.length;n+=1){var i=r[n];this._el.contains(i.target)&&e.push(i)}return e},mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var r=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?n.touchPos(this._el,s):n.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],d=h.handlerName,f=h.handler,p=h.allowed;if(f.isEnabled()){var m=void 0;this._blockedByActive(o,p,d)?f.reset():f[e||t.type]&&(m=f[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,d,r),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||f.isActive())&&(o[d]=f)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=r);this._previousActiveHandlers=o,(Object.keys(g).length||pi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||pi(i))&&this._map._stop(!0),this._updatingCamera=!1;var v=i.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],v(this._map))}else this.stop()},mi.prototype.mergeHandlerResult=function(e,n,r,i,a){if(r){t.extend(e,r);var o={handlerName:i,originalEvent:r.originalEvent||a};void 0!==r.zoomDelta&&(n.zoom=o),void 0!==r.panDelta&&(n.drag=o),void 0!==r.pitchDelta&&(n.pitch=o),void 0!==r.bearingDelta&&(n.rotate=o)}},mi.prototype._applyChanges=function(){for(var e={},n={},r={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(n,l),t.extend(r,c)}this._updateMapTransform(e,n,r),this._changes=[]},mi.prototype._updateMapTransform=function(t,e,n){var r=this._map,i=r.transform;if(!pi(t))return this._fireEvents(e,n);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),r._stop(!0),c=c||r.transform.centerPoint;var h=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,n)},mi.prototype._fireEvents=function(e,n){var r=this,i=di(this._eventsInProgress),a=di(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var d in this._eventsInProgress){var f=this._eventsInProgress[d],p=f.handlerName,m=f.originalEvent;this._handlersById[p].isActive()||(delete this._eventsInProgress[d],h[d+\"end\"]=u=n[p]||m)}for(var g in h)this._fireEvent(g,h[g]);var y=di(this._eventsInProgress);if((i||a)&&!y){this._updatingCamera=!0;var v=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-r._bearingSnap<t&&t<r._bearingSnap};v?(_(v.bearing||this._map.getBearing())&&(v.bearing=0),this._map.easeTo(v,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},mi.prototype._fireEvent=function(e,n){this._map.fire(new t.Event(e,n?{originalEvent:n}:{}))},mi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new fi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var gi=function(e){function n(n,r){e.call(this),this._moving=!1,this._zooming=!1,this.transform=n,this._bearingSnap=r.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},n.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},n.prototype.panBy=function(e,n,r){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},n),r)},n.prototype.panTo=function(e,n,r){return this.easeTo(t.extend({center:e},n),r)},n.prototype.getZoom=function(){return this.transform.zoom},n.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},n.prototype.zoomTo=function(e,n,r){return this.easeTo(t.extend({zoom:e},n),r)},n.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},n.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},n.prototype.getBearing=function(){return this.transform.bearing},n.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},n.prototype.getPadding=function(){return this.transform.padding},n.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},n.prototype.rotateTo=function(e,n,r){return this.easeTo(t.extend({bearing:e},n),r)},n.prototype.resetNorth=function(e,n){return this.rotateTo(0,t.extend({duration:1e3},e),n),this},n.prototype.resetNorthPitch=function(e,n){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),n),this},n.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},n.prototype.getPitch=function(){return this.transform.pitch},n.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},n.prototype.cameraForBounds=function(e,n){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,n)},n.prototype._cameraForBoxAndBearing=function(e,n,r,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(n)),h=c.rotate(-r*Math.PI/180),d=u.rotate(-r*Math.PI/180),f=new t.Point(Math.max(h.x,d.x),Math.max(h.y,d.y)),p=new t.Point(Math.min(h.x,d.x),Math.min(h.y,d.y)),m=f.sub(p),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(y<0||g<0)){var v=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),_=t.Point.convert(i.offset),b=new t.Point(_.x+(i.padding.left-i.padding.right)/2,_.y+(i.padding.top-i.padding.bottom)/2).mult(s.scale/s.zoomScale(v));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:v,bearing:r}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},n.prototype.fitBounds=function(t,e,n){return this._fitInternal(this.cameraForBounds(t,e),e,n)},n.prototype.fitScreenCoordinates=function(e,n,r,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(n)),r,i),i,a)},n.prototype._fitInternal=function(e,n,r){return e?(delete(n=t.extend(e,n)).padding,n.linear?this.easeTo(n,r):this.flyTo(n,r)):this},n.prototype.jumpTo=function(e,n){this.stop();var r=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&r.zoom!==+e.zoom&&(i=!0,r.zoom=+e.zoom),void 0!==e.center&&(r.center=t.LngLat.convert(e.center)),\"bearing\"in e&&r.bearing!==+e.bearing&&(a=!0,r.bearing=+e.bearing),\"pitch\"in e&&r.pitch!==+e.pitch&&(o=!0,r.pitch=+e.pitch),null==e.padding||r.isPaddingEqual(e.padding)||(r.padding=e.padding),this.fire(new t.Event(\"movestart\",n)).fire(new t.Event(\"move\",n)),i&&this.fire(new t.Event(\"zoomstart\",n)).fire(new t.Event(\"zoom\",n)).fire(new t.Event(\"zoomend\",n)),a&&this.fire(new t.Event(\"rotatestart\",n)).fire(new t.Event(\"rotate\",n)).fire(new t.Event(\"rotateend\",n)),o&&this.fire(new t.Event(\"pitchstart\",n)).fire(new t.Event(\"pitch\",n)).fire(new t.Event(\"pitchend\",n)),this.fire(new t.Event(\"moveend\",n))},n.prototype.easeTo=function(e,n){var r=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,d=\"padding\"in e?e.padding:i.padding,f=t.Point.convert(e.offset),p=i.centerPoint.add(f),m=i.pointLocation(p),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var y,v,_=i.project(m),b=i.project(g).sub(_),x=i.zoomScale(c-a);e.around&&(y=t.LngLat.convert(e.around),v=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(d),this._easeId=e.easeId,this._prepareEase(n,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(r._zooming&&(i.zoom=t.number(a,c,e)),r._rotating&&(i.bearing=t.number(o,u,e)),r._pitching&&(i.pitch=t.number(s,h,e)),r._padding&&(i.interpolatePadding(l,d,e),p=i.centerPoint.add(f)),y)i.setLocationAtPoint(y,v);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,x):Math.max(.5,x),w=Math.pow(g,1-e),k=i.unproject(_.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?k.wrap():k,p)}r._fireMoveEvents(n)}),(function(t){r._afterEase(n,t)}),e),this},n.prototype._prepareEase=function(e,n,r){void 0===r&&(r={}),this._moving=!0,n||r.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!r.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!r.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!r.pitching&&this.fire(new t.Event(\"pitchstart\",e))},n.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},n.prototype._afterEase=function(e,n){if(!this._easeId||!n||this._easeId!==n){delete this._easeId;var r=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,r&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},n.prototype.flyTo=function(e,n){var r=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,n)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,d=\"pitch\"in e?+e.pitch:l,f=\"padding\"in e?e.padding:a.padding,p=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var _=a.project(y),b=a.project(v).sub(_),x=e.curve,w=Math.max(a.width,a.height),k=w/p,M=b.mag();if(\"minZoom\"in e){var T=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),S=w/a.zoomScale(T-o);x=Math.sqrt(S/M*2)}var A=x*x;function L(t){var e=(k*k-w*w+(t?-1:1)*A*A*M*M)/(2*(t?k:w)*A*M);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function E(t){return(Math.exp(t)+Math.exp(-t))/2}var O=L(0),D=function(t){return E(O)/E(O+x*t)},I=function(t){return w*((E(O)*(C(e=O+x*t)/E(e))-C(O))/A)/M;var e},P=(L(1)-O)/x;if(Math.abs(M)<1e-6||!isFinite(P)){if(Math.abs(w-k)<1e-6)return this.easeTo(e,n);var R=k<w?-1:1;P=Math.abs(Math.log(k/w))/x,I=function(){return 0},D=function(t){return Math.exp(R*x*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*P/(\"screenSpeed\"in e?+e.screenSpeed/x:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=d!==l,this._padding=!a.isPaddingEqual(f),this._prepareEase(n,!1),this._ease((function(e){var i=e*P,p=1/D(i);a.zoom=1===e?u:o+a.scaleZoom(p),r._rotating&&(a.bearing=t.number(s,h,e)),r._pitching&&(a.pitch=t.number(l,d,e)),r._padding&&(a.interpolatePadding(c,f,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(_.add(b.mult(I(i))).mult(p));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),r._fireMoveEvents(n)}),(function(){return r._afterEase(n)}),e),this},n.prototype.isEasing=function(){return!!this._easeFrameId},n.prototype.stop=function(){return this._stop()},n.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var n=this._onEaseEnd;delete this._onEaseEnd,n.call(this,e)}if(!t){var r=this.handlers;r&&r.stop()}return this},n.prototype._ease=function(e,n,r){!1===r.animate||0===r.duration?(e(1),n()):(this._easeStart=t.browser.now(),this._easeOptions=r,this._onEaseFrame=e,this._onEaseEnd=n,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},n.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},n.prototype._normalizeBearing=function(e,n){e=t.wrap(e,-180,180);var r=Math.abs(e-n);return Math.abs(e-360-n)<r&&(e-=360),Math.abs(e+360-n)<r&&(e+=360),e},n.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var n=t.lng-e.center.lng;t.lng+=n>180?-360:n<-180?360:0}},n}(t.Evented),yi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};yi.prototype.getDefaultPosition=function(){return\"bottom-right\"},yi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=n.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=n.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},yi.prototype.onRemove=function(){n.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},yi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var n=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var r=n.reduce((function(t,e,r){return e.value&&(t+=e.key+\"=\"+e.value+(r<n.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+r+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},yi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},yi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var n=this._map.style.sourceCaches;for(var r in n){var i=n[r];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,n){for(var r=n+1;r<t.length;r++)if(t[r].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},yi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var vi=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};vi.prototype.onAdd=function(t){this._map=t,this._container=n.create(\"div\",\"mapboxgl-ctrl\");var e=n.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},vi.prototype.onRemove=function(){n.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},vi.prototype.getDefaultPosition=function(){return\"bottom-left\"},vi.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},vi.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},vi.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var _i=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};_i.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},_i.prototype.remove=function(t){for(var e=this._currentlyRunning,n=0,r=e?this._queue.concat(e):this._queue;n<r.length;n+=1){var i=r[n];if(i.id===t)return void(i.cancelled=!0)}},_i.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var n=0,r=e;n<r.length;n+=1){var i=r[n];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},_i.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var bi={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},xi=t.window.HTMLImageElement,wi=t.window.HTMLElement,ki=t.window.ImageBitmap,Mi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ti=function(r){function i(e){var n=this;if(null!=(e=t.extend({},Mi,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new wr(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(r.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new _i,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},bi,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof wi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return n._update(!1)})),this.on(\"moveend\",(function(){return n._update(!1)})),this.on(\"zoom\",(function(){return n._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new mi(this,e),this._hash=e.hash&&new Mr(\"string\"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new yi({customAttribution:e.customAttribution})),this.addControl(new vi,e.logoPosition),this.on(\"style.load\",(function(){n.transform.unmodified&&n.jumpTo(n.style.stylesheet)})),this.on(\"data\",(function(e){n._update(\"style\"===e.dataType),n.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){n.fire(new t.Event(e.dataType+\"dataloading\",e))}))}r&&(i.__proto__=r),(i.prototype=Object.create(r&&r.prototype)).constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,n){if(void 0===n&&e.getDefaultPosition&&(n=e.getDefaultPosition()),void 0===n&&(n=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[n];return-1!==n.indexOf(\"bottom\")?i.insertBefore(r,i.firstChild):i.appendChild(r),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=this._controls.indexOf(e);return n>-1&&this._controls.splice(n,1),e.onRemove(this),this},i.prototype.resize=function(e){var n=this._containerDimensions(),r=n[0],i=n[1];this._resizeCanvas(r,i),this.transform.resize(r,i),this.painter.resize(r,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,n){var r,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:n,delegates:{mousemove:function(r){var o=i.getLayer(e)?i.queryRenderedFeatures(r.point,{layers:[e]}):[];o.length?a||(a=!0,n.call(i,new Ir(t,i,r.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:n,delegates:{mousemove:function(r){(i.getLayer(e)?i.queryRenderedFeatures(r.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,n.call(i,new Ir(t,i,r.originalEvent)))},mouseout:function(e){o&&(o=!1,n.call(i,new Ir(t,i,e.originalEvent)))}}}}return{layer:e,listener:n,delegates:(r={},r[t]=function(t){var r=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];r.length&&(t.features=r,n.call(i,t),delete t.features)},r)}},i.prototype.on=function(t,e,n){if(void 0===n)return r.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,n);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,n){if(void 0===n)return r.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,n);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,n){var i=this;return void 0===n?r.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(r){for(var a=r[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===n){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this)},i.prototype.queryRenderedFeatures=function(e,n){if(!this.style)return[];var r;if(void 0!==n||void 0===e||e instanceof t.Point||Array.isArray(e)||(n=e,e=void 0),n=n||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])r=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);r=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(r,n,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,n){return!1!==(n=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},n)).diff&&n.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,n),this):(this._localIdeographFontFamily=n.localIdeographFontFamily,this._updateStyle(e,n))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ve(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ve(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,n){var r=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?r.fire(new t.ErrorEvent(e)):i&&r._updateDiff(i,n)}))}else\"object\"==typeof e&&this._updateDiff(e,n)},i.prototype._updateDiff=function(e,n){try{this.style.setState(e)&&this._update(!0)}catch(r){t.warnOnce(\"Unable to perform style diff: \"+(r.message||r.error||r)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,n)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var n=this.style&&this.style.sourceCaches[e];if(void 0!==n)return n.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var n=t[e]._tiles;for(var r in n){var i=n[r];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,n){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,n)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,n,r){void 0===r&&(r={});var i=r.pixelRatio;void 0===i&&(i=1);var a=r.sdf;void 0===a&&(a=!1);var o=r.stretchX,s=r.stretchY,l=r.content;if(this._lazyInitEmptyStyle(),n instanceof xi||ki&&n instanceof ki){var c=t.browser.getImageData(n);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===n.width||void 0===n.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=n;this.style.addImage(e,{data:new t.RGBAImage({width:n.width,height:n.height},new Uint8Array(n.data)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},i.prototype.updateImage=function(e,n){var r=this.style.getImage(e);if(!r)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=n instanceof xi||ki&&n instanceof ki?t.browser.getImageData(n):n,a=i.width,o=i.height,s=i.data;return void 0===a||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):a!==r.data.width||o!==r.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(r.data.replace(s,!(n instanceof xi||ki&&n instanceof ki)),void this.style.updateImage(e,r))},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,n){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),n)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,n){return this.style.setLayerZoomRange(t,e,n),this._update(!0)},i.prototype.setFilter=function(t,e,n){return void 0===n&&(n={}),this.style.setFilter(t,e,n),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,n,r){return void 0===r&&(r={}),this.style.setPaintProperty(t,e,n,r),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,n,r){return void 0===r&&(r={}),this.style.setLayoutProperty(t,e,n,r),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=n.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=n.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=n.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var r=this._containerDimensions();this._resizeCanvas(r[0],r[1]);var i=this._controlContainer=n.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=n.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,n){var r=t.browser.devicePixelRatio||1;this._canvas.width=r*e,this._canvas.height=r*n,this._canvas.style.width=e+\"px\",this._canvas.style.height=n+\"px\"},i.prototype._setupPainter=function(){var n=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),r=this._canvas.getContext(\"webgl\",n)||this._canvas.getContext(\"experimental-webgl\",n);r?(this.painter=new vr(r,this.transform),t.webpSupported.testSupport(r)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var n,r=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(n=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,n),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,n),setTimeout((function(){var e=a.getQueryObjectEXT(n,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n),r.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var d=this.painter.collectGpuTimers();setTimeout((function(){var e=r.painter.queryGpuTimers(d);r.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,n=this._controls;e<n.length;e+=1)n[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");r&&r.loseContext(),Si(this._canvasContainer),Si(this._controlContainer),Si(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,n){t.setCacheLimits(e,n)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(gi);function Si(t){t.parentNode&&t.parentNode.removeChild(t)}var Ai={showCompass:!0,showZoom:!0,visualizePitch:!1},Li=function(e){var r=this;this.options=t.extend({},Ai,e),this._container=n.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return r._map.zoomIn({},{originalEvent:t})})),n.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return r._map.zoomOut({},{originalEvent:t})})),n.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){r.options.visualizePitch?r._map.resetNorthPitch({},{originalEvent:t}):r._map.resetNorth({},{originalEvent:t})})),this._compassIcon=n.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Li.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Li.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Li.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ci(this._map,this._compass,this.options.visualizePitch)),this._container},Li.prototype.onRemove=function(){n.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Li.prototype._createButton=function(t,e){var r=n.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",e),r},Li.prototype._setButtonTitle=function(t,e){var n=this._map._getUIString(\"NavigationControl.\"+e);t.title=n,t.setAttribute(\"aria-label\",n)};var Ci=function(e,r,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=r,this.mouseRotate=new Wr({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new qr({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),n.addEventListener(r,\"mousedown\",this.mousedown),n.addEventListener(r,\"touchstart\",this.touchstart,{passive:!1}),n.addEventListener(r,\"touchmove\",this.touchmove),n.addEventListener(r,\"touchend\",this.touchend),n.addEventListener(r,\"touchcancel\",this.reset)};function Ei(e,n,r){if(e=new t.LngLat(e.lng,e.lat),n){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=r.locationPoint(e).distSqr(n);r.locationPoint(i).distSqr(n)<o?e=i:r.locationPoint(a).distSqr(n)<o&&(e=a)}for(;Math.abs(e.lng-r.center.lng)>180;){var s=r.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=r.width&&s.y<=r.height)break;e.lng>r.center.lng?e.lng-=360:e.lng+=360}return e}Ci.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),n.disableDrag()},Ci.prototype.move=function(t,e){var n=this.map,r=this.mouseRotate.mousemoveWindow(t,e);if(r&&r.bearingDelta&&n.setBearing(n.getBearing()+r.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&n.setPitch(n.getPitch()+i.pitchDelta)}},Ci.prototype.off=function(){var t=this.element;n.removeEventListener(t,\"mousedown\",this.mousedown),n.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),n.removeEventListener(t,\"touchmove\",this.touchmove),n.removeEventListener(t,\"touchend\",this.touchend),n.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ci.prototype.offTemp=function(){n.enableDrag(),n.removeEventListener(t.window,\"mousemove\",this.mousemove),n.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ci.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),n.mousePos(this.element,e)),n.addEventListener(t.window,\"mousemove\",this.mousemove),n.addEventListener(t.window,\"mouseup\",this.mouseup)},Ci.prototype.mousemove=function(t){this.move(t,n.mousePos(this.element,t))},Ci.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ci.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=n.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ci.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=n.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ci.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ci.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Oi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,n){var r=t.classList;for(var i in Oi)r.remove(\"mapboxgl-\"+n+\"-anchor-\"+i);r.add(\"mapboxgl-\"+n+\"-anchor-\"+e)}var Ii,Pi=function(e){function r(r,i){var a=this;if(e.call(this),(r instanceof t.window.HTMLElement||i)&&(r=t.extend({element:r},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=r&&r.anchor||\"center\",this._color=r&&r.color||\"#3FB1CE\",this._draggable=r&&r.draggable||!1,this._state=\"inactive\",this._rotation=r&&r.rotation||0,this._rotationAlignment=r&&r.rotationAlignment||\"auto\",this._pitchAlignment=r&&r.pitchAlignment&&\"auto\"!==r.pitchAlignment?r.pitchAlignment:this._rotationAlignment,r&&r.element)this._element=r.element,this._offset=t.Point.convert(r&&r.offset||[0,0]);else{this._defaultMarker=!0,this._element=n.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=n.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<h.length;u+=1){var d=h[u],f=n.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",d.rx),f.setAttributeNS(null,\"ry\",d.ry),c.appendChild(f)}var p=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var m=n.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(m);var g=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=n.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var v=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),v.setAttributeNS(null,\"fill\",\"#FFFFFF\");var _=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");_.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=n.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var x=n.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#FFFFFF\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\"),_.appendChild(b),_.appendChild(x),l.appendChild(c),l.appendChild(p),l.appendChild(g),l.appendChild(v),l.appendChild(_),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(r&&r.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},r.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),n.remove(this._element),this._popup&&this._popup.remove(),this},r.prototype.getLngLat=function(){return this._lngLat},r.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},r.prototype.getElement=function(){return this._element},r.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},r.prototype._onKeyPress=function(t){var e=t.code,n=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==n&&13!==n||this.togglePopup()},r.prototype._onMapClick=function(t){var e=t.originalEvent.target,n=this._element;this._popup&&(e===n||n.contains(e))&&this.togglePopup()},r.prototype.getPopup=function(){return this._popup},r.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},r.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Ei(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var r=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?r=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(r=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),n.setTransform(this._element,Oi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+r+\" \"+e)}},r.prototype.getOffset=function(){return this._offset},r.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},r.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},r.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},r.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},r.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},r.prototype.isDraggable=function(){return this._draggable},r.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},r.prototype.getRotation=function(){return this._rotation},r.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},r.prototype.getRotationAlignment=function(){return this._rotationAlignment},r.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},r.prototype.getPitchAlignment=function(){return this._pitchAlignment},r}(t.Evented),Ri={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},zi=0,ji=!1,Fi=function(e){function r(n){e.call(this),this.options=t.extend({},Ri,n),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(e){var r;return this._map=e,this._container=n.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),r=this._setupUI,void 0!==Ii?r(Ii):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){r(Ii=\"denied\"!==t.state)})):r(Ii=!!t.window.navigator.geolocation),this._container},r.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),n.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,zi=0,ji=!1},r.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),n=t.coords;return e&&(n.longitude<e.getWest()||n.longitude>e.getEast()||n.latitude<e.getSouth()||n.latitude>e.getNorth())},r.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},r.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},r.prototype._updateCamera=function(e){var n=new t.LngLat(e.coords.longitude,e.coords.latitude),r=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(n.toBounds(r),a,{geolocateSource:!0})},r.prototype._updateMarker=function(e){if(e){var n=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(n).addTo(this._map),this._userLocationDotMarker.setLngLat(n).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},r.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),n=this._map.unproject([1,t]),r=e.distanceTo(n),i=Math.ceil(2*this._accuracy/r);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},r.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},r.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var n=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=n,this._geolocateButton.setAttribute(\"aria-label\",n),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},r.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},r.prototype._setupUI=function(e){var r=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=n.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),n.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=n.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Pi(this._dotElement),this._circleElement=n.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Pi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==r._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(r._watchState=\"BACKGROUND\",r._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),r._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),r.fire(new t.Event(\"trackuserlocationend\")))}))},r.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":zi--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++zi>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},r.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},r}(t.Evented),Ni={maxWidth:100,unit:\"metric\"},Bi=function(e){this.options=t.extend({},Ni,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Yi(t,e,n){var r=n&&n.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([r,i]),s=a.distanceTo(o);if(n&&\"imperial\"===n.unit){var l=3.2808*s;l>5280?Hi(e,r,l/5280,t._getUIString(\"ScaleControl.Miles\")):Hi(e,r,l,t._getUIString(\"ScaleControl.Feet\"))}else n&&\"nautical\"===n.unit?Hi(e,r,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Hi(e,r,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Hi(e,r,s,t._getUIString(\"ScaleControl.Meters\"))}function Hi(t,e,n,r){var i,a,o,s=(i=n,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*(o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/n)+\"px\",t.innerHTML=s+\"&nbsp;\"+r}Bi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Bi.prototype._onMove=function(){Yi(this._map,this._container,this.options)},Bi.prototype.onAdd=function(t){return this._map=t,this._container=n.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Bi.prototype.onRemove=function(){n.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Bi.prototype.setUnit=function(t){this.options.unit=t,Yi(this._map,this._container,this.options)};var Vi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Vi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=n.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Vi.prototype.onRemove=function(){n.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Vi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Vi.prototype._setupUI=function(){var e=this._fullscreenButton=n.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);n.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Vi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Vi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Vi.prototype._isFullscreen=function(){return this._fullscreen},Vi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Vi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ui={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Wi=function(e){function r(n){e.call(this),this.options=t.extend(Object.create(Ui),n),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},r.prototype.isOpen=function(){return!!this._map},r.prototype.remove=function(){return this._content&&n.remove(this._content),this._container&&(n.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},r.prototype.getLngLat=function(){return this._lngLat},r.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},r.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},r.prototype.getElement=function(){return this._container},r.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},r.prototype.setHTML=function(e){var n,r=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;n=i.firstChild;)r.appendChild(n);return this.setDOMContent(r)},r.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},r.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},r.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},r.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},r.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},r.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},r.prototype._createContent=function(){this._content&&n.remove(this._content),this._content=n.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=n.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},r.prototype._onMouseUp=function(t){this._update(t.point)},r.prototype._onMouseMove=function(t){this._update(t.point)},r.prototype._onDrag=function(t){this._update(t.point)},r.prototype._update=function(e){var r=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=n.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=n.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return r._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Ei(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var i=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),a=this.options.anchor,o=function e(n){if(n){if(\"number\"==typeof n){var r=Math.round(Math.sqrt(.5*Math.pow(n,2)));return{center:new t.Point(0,0),top:new t.Point(0,n),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-n),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(n,0),right:new t.Point(-n,0)}}if(n instanceof t.Point||Array.isArray(n)){var i=t.Point.convert(n);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(n.center||[0,0]),top:t.Point.convert(n.top||[0,0]),\"top-left\":t.Point.convert(n[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(n[\"top-right\"]||[0,0]),bottom:t.Point.convert(n.bottom||[0,0]),\"bottom-left\":t.Point.convert(n[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(n[\"bottom-right\"]||[0,0]),left:t.Point.convert(n.left||[0,0]),right:t.Point.convert(n.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();n.setTransform(this._container,Oi[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Di(this._container,a,\"popup\")}},r.prototype._onClose=function(){this.remove()},r}(t.Evented),qi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ti,NavigationControl:Li,GeolocateControl:Fi,AttributionControl:yi,ScaleControl:Bi,FullscreenControl:Vi,Popup:Wi,Marker:Pi,Style:Ve,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Ft().acquire(Pt)},clearPrewarmedResources:function(){var t=zt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Pt),zt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Rt.workerCount},set workerCount(t){Rt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return qi})),n}))},{}],474:[function(t,e,n){\"use strict\";e.exports=function(t){for(var e=1<<t+1,n=new Array(e),r=0;r<e;++r)n[r]=a(t,r);return n};var r=t(\"convex-hull\");function i(t,e,n){for(var r=new Array(t),i=0;i<t;++i)r[i]=0,i===e&&(r[i]+=.5),i===n&&(r[i]+=.5);return r}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var n=[],a=[],o=0;o<=t;++o)if(e&1<<o){n.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(n.push(i(t,o-1,s-1)),a.push([o,s]))}var l=r(n),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;h.push(a[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":135}],475:[function(t,e,n){var r=t(\"./normalize\"),i=t(\"gl-mat4/create\"),a=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=i(),h=i(),d=[0,0,0,0],f=[[0,0,0],[0,0,0],[0,0,0]],p=[0,0,0];function m(t,e,n,r,i){t[0]=e[0]*r+n[0]*i,t[1]=e[1]*r+n[1]*i,t[2]=e[2]*r+n[2]*i}e.exports=function(t,e,n,i,g,y){if(e||(e=[0,0,0]),n||(n=[0,0,0]),i||(i=[0,0,0]),g||(g=[0,0,0,1]),y||(y=[0,0,0,1]),!r(u,t))return!1;if(a(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var v,_,b,x,w,k,M,T=u[3],S=u[7],A=u[11],L=u[12],C=u[13],E=u[14],O=u[15];if(0!==T||0!==S||0!==A){if(d[0]=T,d[1]=S,d[2]=A,d[3]=O,!s(h,h))return!1;l(h,h),(v=g)[0]=(b=h)[0]*(x=(_=d)[0])+b[4]*(w=_[1])+b[8]*(k=_[2])+b[12]*(M=_[3]),v[1]=b[1]*x+b[5]*w+b[9]*k+b[13]*M,v[2]=b[2]*x+b[6]*w+b[10]*k+b[14]*M,v[3]=b[3]*x+b[7]*w+b[11]*k+b[15]*M}else g[0]=g[1]=g[2]=0,g[3]=1;if(e[0]=L,e[1]=C,e[2]=E,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(f,u),n[0]=c.length(f[0]),c.normalize(f[0],f[0]),i[0]=c.dot(f[0],f[1]),m(f[1],f[1],f[0],1,-i[0]),n[1]=c.length(f[1]),c.normalize(f[1],f[1]),i[0]/=n[1],i[1]=c.dot(f[0],f[2]),m(f[2],f[2],f[0],1,-i[1]),i[2]=c.dot(f[1],f[2]),m(f[2],f[2],f[1],1,-i[2]),n[2]=c.length(f[2]),c.normalize(f[2],f[2]),i[1]/=n[2],i[2]/=n[2],c.cross(p,f[1],f[2]),c.dot(f[0],p)<0)for(var D=0;D<3;D++)n[D]*=-1,f[D][0]*=-1,f[D][1]*=-1,f[D][2]*=-1;return y[0]=.5*Math.sqrt(Math.max(1+f[0][0]-f[1][1]-f[2][2],0)),y[1]=.5*Math.sqrt(Math.max(1-f[0][0]+f[1][1]-f[2][2],0)),y[2]=.5*Math.sqrt(Math.max(1-f[0][0]-f[1][1]+f[2][2],0)),y[3]=.5*Math.sqrt(Math.max(1+f[0][0]+f[1][1]+f[2][2],0)),f[2][1]>f[1][2]&&(y[0]=-y[0]),f[0][2]>f[2][0]&&(y[1]=-y[1]),f[1][0]>f[0][1]&&(y[2]=-y[2]),!0}},{\"./normalize\":476,\"gl-mat4/clone\":278,\"gl-mat4/create\":280,\"gl-mat4/determinant\":281,\"gl-mat4/invert\":293,\"gl-mat4/transpose\":306,\"gl-vec3/cross\":365,\"gl-vec3/dot\":370,\"gl-vec3/length\":380,\"gl-vec3/normalize\":387}],476:[function(t,e,n){e.exports=function(t,e){var n=e[15];if(0===n)return!1;for(var r=1/n,i=0;i<16;i++)t[i]=e[i]*r;return!0}},{}],477:[function(t,e,n){var r=t(\"gl-vec3/lerp\"),i=t(\"mat4-recompose\"),a=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:d(),scale:d(1),skew:d(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function d(t){return[t||0,t||0,t||0]}e.exports=function(t,e,n,h){if(0===o(e)||0===o(n))return!1;var d=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),f=a(n,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!d||!f||(r(u.translate,l.translate,c.translate,h),r(u.skew,l.skew,c.skew,h),r(u.scale,l.scale,c.scale,h),r(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),0))}},{\"gl-mat4/determinant\":281,\"gl-vec3/lerp\":381,\"mat4-decompose\":475,\"mat4-recompose\":478,\"quat-slerp\":527}],478:[function(t,e,n){var r={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},i=(r.create(),r.create());e.exports=function(t,e,n,a,o,s){return r.identity(t),r.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],r.identity(i),0!==a[2]&&(i[9]=a[2],r.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],r.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],r.multiply(t,t,i)),r.scale(t,t,n),t}},{\"gl-mat4/create\":280,\"gl-mat4/fromRotationTranslation\":284,\"gl-mat4/identity\":291,\"gl-mat4/multiply\":295,\"gl-mat4/scale\":303,\"gl-mat4/translate\":305}],479:[function(t,e,n){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],480:[function(t,e,n){\"use strict\";var r=t(\"binary-search-bounds\"),i=t(\"mat4-interpolate\"),a=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),d=[0,0,0];function f(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new f((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var p=f.prototype;p.recalcMatrix=function(t){var e=this._time,n=r.le(e,t),o=this.computedMatrix;if(!(n<0)){var s=this._components;if(n===e.length-1)for(var l=16*n,c=0;c<16;++c)o[c]=s[l++];else{var u=e[n+1]-e[n],d=(l=16*n,this.prevMatrix),f=!0;for(c=0;c<16;++c)d[c]=s[l++];var p=this.nextMatrix;for(c=0;c<16;++c)p[c]=s[l++],f=f&&d[c]===p[c];if(u<1e-6||f)for(c=0;c<16;++c)o[c]=d[c];else i(o,d,p,(t-e[n])/u)}var m=this.computedUp;m[0]=o[1],m[1]=o[5],m[2]=o[9],h(m,m);var g=this.computedInverse;a(g,o);var y=this.computedEye,v=g[15];y[0]=g[12]/v,y[1]=g[13]/v,y[2]=g[14]/v;var 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strict\";var r=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),h=t(\"to-float32\"),d=h.float32,f=h.fract32,p=t(\"es6-weak-map\"),m=t(\"parse-rect\");function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}e.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,n=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:n,divisor:0,stride:8,offset:0},lineTop:{buffer:n,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:n,divisor:0,stride:8,offset:0},lineTop:{buffer:n,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(s){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:i,miter:e}},g.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},g.prototype.render=function(){for(var t,e=[],n=arguments.length;n--;)e[n]=arguments[n];e.length&&(t=this).update.apply(t,e),this.draw()},g.prototype.draw=function(){for(var t=this,e=[],n=arguments.length;n--;)e[n]=arguments[n];return(e.length?e:this.passes).forEach((function(e,n){var r;if(e&&Array.isArray(e))return(r=t).draw.apply(r,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>g.precisionThreshold||e.scale[1]*e.viewport.height>g.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=g.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},g.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var n=this.regl,o=this.gl;if(t.forEach((function(t,h){var p=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},g.defaults,t)),null!=t.thickness&&(p.thickness=parseFloat(t.thickness)),null!=t.opacity&&(p.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(p.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(p.overlay=!!t.overlay,h<g.maxLines&&(p.depth=2*(g.maxLines-1-h%g.maxLines)/g.maxLines-1)),null!=t.join&&(p.join=t.join),null!=t.hole&&(p.hole=t.hole),null!=t.fill&&(p.fill=t.fill?r(t.fill,\"uint8\"):null),null!=t.viewport&&(p.viewport=m(t.viewport)),p.viewport||(p.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(p.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,v;if(t.positions.x&&t.positions.y){var _=t.positions.x,b=t.positions.y;v=p.count=Math.max(_.length,b.length),y=new Float64Array(2*v);for(var x=0;x<v;x++)y[2*x]=_[x],y[2*x+1]=b[x]}else y=l(t.positions,\"float64\"),v=p.count=Math.floor(y.length/2);var w=p.bounds=i(y,2);if(p.fill){for(var k=[],M={},T=0,S=0,A=0,L=p.count;S<L;S++){var C=y[2*S],E=y[2*S+1];isNaN(C)||isNaN(E)||null==C||null==E?(C=y[2*T],E=y[2*T+1],M[S]=T):T=S,k[A++]=C,k[A++]=E}for(var O=c(k,p.hole||[]),D=0,I=O.length;D<I;D++)null!=M[O[D]]&&(O[D]=M[O[D]]);p.triangles=O}var P=new Float64Array(y);u(P,2,w);var R=new Float64Array(2*v+6);p.close?y[0]===y[2*v-2]&&y[1]===y[2*v-1]?(R[0]=P[2*v-4],R[1]=P[2*v-3]):(R[0]=P[2*v-2],R[1]=P[2*v-1]):(R[0]=P[0],R[1]=P[1]),R.set(P,2),p.close?y[0]===y[2*v-2]&&y[1]===y[2*v-1]?(R[2*v+2]=P[2],R[2*v+3]=P[3],p.count-=1):(R[2*v+2]=P[0],R[2*v+3]=P[1],R[2*v+4]=P[2],R[2*v+5]=P[3]):(R[2*v+2]=P[2*v-2],R[2*v+3]=P[2*v-1],R[2*v+4]=P[2*v-2],R[2*v+5]=P[2*v-1]),p.positionBuffer(d(R)),p.positionFractBuffer(f(R))}if(t.range?p.range=t.range:p.range||(p.range=p.bounds),(t.range||t.positions)&&p.count){var z=p.bounds,j=p.range[2]-p.range[0],F=p.range[3]-p.range[1];p.scale=[(z[2]-z[0])/j,(z[3]-z[1])/F],p.translate=[-p.range[0]/j+z[0]/j||0,-p.range[1]/F+z[1]/F||0],p.scaleFract=f(p.scale),p.translateFract=f(p.translate)}if(t.dashes){var N,B=0;if(!t.dashes||t.dashes.length<2)B=1,N=new Uint8Array([255,255,255,255,255,255,255,255]);else{B=0;for(var Y=0;Y<t.dashes.length;++Y)B+=t.dashes[Y];N=new Uint8Array(B*g.dashMult);for(var H=0,V=255,U=0;U<2;U++)for(var W=0;W<t.dashes.length;++W){for(var q=0,G=t.dashes[W]*g.dashMult*.5;q<G;++q)N[H++]=V;V^=255}}p.dashLength=B,p.dashTexture({channels:1,data:N,width:N.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var X=p.count,Z=t.color;Z||(Z=\"transparent\");var J=new Uint8Array(4*X+4);if(Array.isArray(Z)&&\"number\"!=typeof Z[0]){for(var K=0;K<X;K++){var $=r(Z[K],\"uint8\");J.set($,4*K)}J.set(r(Z[0],\"uint8\"),4*X)}else for(var Q=r(Z,\"uint8\"),tt=0;tt<X+1;tt++)J.set(Q,4*tt);p.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:J})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var p=this.passes[h];p&&(p.colorBuffer.destroy(),p.positionBuffer.destroy(),p.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],v=0;v<this.passes.length;v++)null!==this.passes[v]&&y.push(this.passes[v]);return this.passes=y,this}},g.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:536,\"object-assign\":499,\"parse-rect\":504,\"pick-by-alias\":511,\"to-float32\":577}],536:[function(t,e,n){arguments[4][257][0].apply(n,arguments)},{dup:257}],537:[function(t,e,n){\"use strict\";function r(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t)){var n=[],r=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(r=(o=s.next()).done)&&(n.push(o.value),!e||n.length!==e);r=!0);}catch(l){i=!0,a=l}finally{try{r||null==s.return||s.return()}finally{if(i)throw a}}return 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fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=u({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}_.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},_.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},_.prototype.draw=function(){for(var t=this,e=arguments.length,n=new Array(e),r=0;r<e;r++)n[r]=arguments[r];var i=this.groups;if(1===n.length&&Array.isArray(n[0])&&(null===n[0][0]||Array.isArray(n[0][0]))&&(n=n[0]),this.regl._refresh(),n.length)for(var a=0;a<n.length;a++)this.drawItem(a,n[a]);else i.forEach((function(e,n){t.drawItem(n)}));return this},_.prototype.drawItem=function(t,e){var n,r=this.groups,o=r[t];if(\"number\"==typeof e&&(t=e,o=r[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(n=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(n)||i(n)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},_.prototype.getMarkerDrawOptions=function(t,e,n){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;if(!a)return n?[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:n.length,elements:n,offset:0})]:[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var 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e=this.paletteIds,n=this.palette,r=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var c=0;c<t.length;c+=4)a.push(t.subarray(c,c+4));t=a}for(var u=0;u<t.length;u++){var h=t[u];h=o(h,\"uint8\");var d=l(h,!1);if(null==e[d]){var f=n.length;e[d]=Math.floor(f/4),n[f]=h[0],n[f+1]=h[1],n[f+2]=h[2],n[f+3]=h[3]}i[u]=e[d]}return!this.tooManyColors&&n.length>4*r&&(this.tooManyColors=!0),this.updatePalette(n),1===i.length?i[0]:i},_.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,n=this.paletteTexture,r=Math.ceil(.25*t.length/e);if(r>1)for(var i=.25*(t=t.slice()).length%e;i<r*e;i++)t.push(0,0,0,0);n.height<r&&n.resize(e,r),n.subimage({width:Math.min(.25*t.length,e),height:r,data:t},0,0)}},_.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=t(\"object-assign\");e.exports=function(t,e){var n=new v(t,e),r=n.render.bind(n);return 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e=this._validate(t,this.minMonth,this.minDay,r.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,r.local.invalidYear||r.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,n){var r=this.newDate(t,e,n);return r.add(-r.dayOfWeek(),\"d\"),Math.floor((r.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var n=this._validate(t,e,this.minDay,r.local.invalidMonth);return this.daysPerMonth[n.month()-1]+(13===n.month()&&this.leapYear(n.year())?1:0)},weekDay:function(t,e,n){return(this.dayOfWeek(t,e,n)||7)<6},toJD:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,n=Math.floor((e-Math.floor((e+366)/1461))/365)+1;n<=0&&n--,e=Math.floor(t)+.5-this.newDate(n,1,1).toJD();var r=Math.floor(e/30)+1;return 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this._validate(t,this.minMonth,this.minDay,r.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,r.local.invalidYear),400},weekOfYear:function(t,e,n){var r=this.newDate(t,e,n);return r.add(-r.dayOfWeek(),\"d\"),Math.floor((r.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var n=this._validate(t,e,this.minDay,r.local.invalidMonth);return this.daysPerMonth[n.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,n){return(this._validate(t,e,n,r.local.invalidDate).day()+1)%8},weekDay:function(t,e,n){var r=this.dayOfWeek(t,e,n);return r>=2&&r<=6},extraInfo:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidDate);return{century:a[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(n=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var 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this.newDate(e,n,r)}}),r.calendars.hebrew=i},{\"../main\":621,\"object-assign\":499}],612:[function(t,e,n){var r=t(\"../main\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}t(\"object-assign\")(i.prototype=new r.baseCalendar,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,r.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,n){var r=this.newDate(t,e,n);return r.add(-r.dayOfWeek(),\"d\"),Math.floor((r.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var n=this._validate(t,e,this.minDay,r.local.invalidMonth);return this.daysPerMonth[n.month()-1]+(12===n.month()&&this.leapYear(n.year())?1:0)},weekDay:function(t,e,n){return 5!==this.dayOfWeek(t,e,n)},toJD:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(n=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var n=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),r=t-this.toJD(e,n,1)+1;return this.newDate(e,n,r)}}),r.calendars.islamic=i},{\"../main\":621,\"object-assign\":499}],613:[function(t,e,n){var r=t(\"../main\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}t(\"object-assign\")(i.prototype=new r.baseCalendar,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,r.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,n){var r=this.newDate(t,e,n);return r.add(4-(r.dayOfWeek()||7),\"d\"),Math.floor((r.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var n=this._validate(t,e,this.minDay,r.local.invalidMonth);return this.daysPerMonth[n.month()-1]+(2===n.month()&&this.leapYear(n.year())?1:0)},weekDay:function(t,e,n){return(this.dayOfWeek(t,e,n)||7)<6},toJD:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidDate);return t=i.year(),e=i.month(),n=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+n-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,n=Math.floor((e-122.1)/365.25),r=Math.floor(365.25*n),i=Math.floor((e-r)/30.6001),a=i-Math.floor(i<14?1:13),o=n-Math.floor(a>2?4716:4715),s=e-r-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),r.calendars.julian=i},{\"../main\":621,\"object-assign\":499}],614:[function(t,e,n){var r=t(\"../main\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function a(t,e){return t-e*Math.floor(t/e)}function o(t,e){return a(t-1,e)+1}t(\"object-assign\")(i.prototype=new r.baseCalendar,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,r.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,r.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,n=0;n<t.length;n++){var r=parseInt(t[n],10);if(Math.abs(r)>19||n>0&&r<0)throw\"Invalid Mayan year\";e=20*e+r}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,r.local.invalidYear),18},weekOfYear:function(t,e,n){return this._validate(t,e,n,r.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,r.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,r.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,n){return this._validate(t,e,n,r.local.invalidDate).day()},weekDay:function(t,e,n){return this._validate(t,e,n,r.local.invalidDate),!0},extraInfo:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=a(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,a(e,20)]},_toTzolkin:function(t){return[o(20+(t-=this.jdEpoch),20),o(t+4,13)]},toJD:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var n=Math.floor(t/20);return this.newDate(e,n,t%20)}}),r.calendars.mayan=i},{\"../main\":621,\"object-assign\":499}],615:[function(t,e,n){var r=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new r.baseCalendar;var o=r.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,r.local.invalidYear||r.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,n){var r=this.newDate(t,e,n);return r.add(1-(r.dayOfWeek()||7),\"d\"),Math.floor((r.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var n=this._validate(t,e,this.minDay,r.local.invalidMonth);return this.daysPerMonth[n.month()-1]+(12===n.month()&&this.leapYear(n.year())?1:0)},weekDay:function(t,e,n){return(this.dayOfWeek(t,e,n)||7)<6},toJD:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var n=t-Math.floor(this.toJD(e,1,1)+.5)+1,r=1;n>this.daysInMonth(e,r);)n-=this.daysInMonth(e,r),r++;return this.newDate(e,r,n)}}),r.calendars.nanakshahi=a},{\"../main\":621,\"object-assign\":499}],616:[function(t,e,n){var r=t(\"../main\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}t(\"object-assign\")(i.prototype=new r.baseCalendar,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=n-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=r.instance().fromJD(t),n=e.year(),i=e.dayOfYear(),a=n+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][o]-this.NEPALI_CALENDAR_DATA[a][0]+1;i>s;)++o>12&&(o=1,a++),s+=this.NEPALI_CALENDAR_DATA[a][o];return this.newDate(a,o,this.NEPALI_CALENDAR_DATA[a][o]-(s-i))},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var n=t-1;n<t+2;n++)void 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}t(\"object-assign\")(i.prototype=new r.baseCalendar,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,r.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,n){var r=this.newDate(t,e,n);return r.add(-r.dayOfWeek(),\"d\"),Math.floor((r.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,n=1;n<=12;n++)e+=this.daysInMonth(t,n);return e},daysInMonth:function(t,e){for(var n=this._validate(t,e,this.minDay,r.local.invalidMonth).toJD()-24e5+.5,i=0,o=0;o<a.length;o++){if(a[o]>n)return a[i]-a[i-1];i++}return 30},weekDay:function(t,e,n){return 5!==this.dayOfWeek(t,e,n)},toJD:function(t,e,n){var i=this._validate(t,e,n,r.local.invalidDate),o=12*(i.year()-1)+i.month()-15292;return i.day()+a[o-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,n=0,r=0;r<a.length&&!(a[r]>e);r++)n++;var i=n+15292,o=Math.floor((i-1)/12);return this.newDate(o+1,i-12*o,e-a[n-1]+1)},isValid:function(t,e,n){var i=r.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,n,i){var a=r.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),r.calendars.ummalqura=i;var 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r=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,n,r){if(this._calendar=t,this._year=e,this._month=n,this._day=r,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}r(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase();var n=this._localCals[t+\"-\"+(e=e||\"\")];if(!n&&this.calendars[t]&&(n=new this.calendars[t](e),this._localCals[t+\"-\"+e]=n),!n)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return n},newDate:function(t,e,n,r,i){return(r=(null!=t&&t.year?t.calendar():\"string\"==typeof r?this.instance(r,i):r)||this.instance()).newDate(t,e,n)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(n){for(var r=\"\",i=0;n>0;){var a=n%10;r=(0===a?\"\":t[a]+e[i])+r,i++,n=Math.floor(n/10)}return 0===r.indexOf(t[1]+e[1])&&(r=r.substr(1)),r||t[0]}}}),r(a.prototype,{newDate:function(t,e,n){return this._calendar.newDate(null==t?this:t,e,n)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,n){if(!this._calendar.isValid(t,e,n))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=n,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),r(s.prototype,{_validateLevel:0,newDate:function(t,e,n){return null==t?this.today():(t.year&&(this._validate(t,e,n,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),n=t.day(),e=t.month(),t=t.year()),new a(this,t,e,n))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var n=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(n.month()+this.monthsInYear(n)-this.firstMonth)%this.monthsInYear(n)+this.minMonth},fromMonthOfYear:function(t,e){var n=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,n,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),n},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,n){var r=this._validate(t,e,n,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return r.toJD()-this.newDate(r.year(),this.fromMonthOfYear(r.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,n){var r=this._validate(t,e,n,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(r))+2)%this.daysInWeek()},extraInfo:function(t,e,n){return this._validate(t,e,n,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,n){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,n),e,n)},_add:function(t,e,n){if(this._validateLevel++,\"d\"===n||\"w\"===n){var r=t.toJD()+e*(\"w\"===n?this.daysInWeek():1),i=t.calendar().fromJD(r);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===n?e:0),o=t.monthOfYear()+(\"m\"===n?e:0),s=(i=t.day(),function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)});\"y\"===n?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===n&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(c){throw 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n.on.length>0||n.explicitOff.length>0},onClick:function(t,e){var n,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),h={},d=t._fullLayout.annotations;if(c.length||u.length){for(n=0;n<c.length;n++)(s=a(t.layout,\"annotations\",d[c[n]])).modifyItem(\"visible\",!0),r.extendFlat(h,s.getUpdateObj());for(n=0;n<u.length;n++)(s=a(t.layout,\"annotations\",d[u[n]])).modifyItem(\"visible\",!1),r.extendFlat(h,s.getUpdateObj());return i.call(\"update\",t,{},h)}}}},{\"../../lib\":778,\"../../plot_api/plot_template\":817,\"../../registry\":911}],629:[function(t,e,n){\"use strict\";var r=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,n,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":n._dfltTitle.annotation),a(\"textangle\"),r.coerceFont(a,\"font\",n.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var h,d,f=a(\"arrowside\");-1!==f.indexOf(\"end\")&&(h=a(\"arrowhead\"),d=a(\"arrowsize\")),-1!==f.indexOf(\"start\")&&(a(\"startarrowhead\",h),a(\"startarrowsize\",d)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var p=a(\"hovertext\"),m=n.hoverlabel||{};if(p){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),y=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));r.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||y})}a(\"captureevents\",!!p)}},{\"../../lib\":778,\"../color\":643}],630:[function(t,e,n){\"use strict\";var r=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,n,a){e=e||{};var o=\"log\"===n&&\"linear\"===e.type;if(o||\"linear\"===n&&\"log\"===e.type)for(var s,l,c=t._fullLayout.annotations,u=e._id.charAt(0),h=0;h<c.length;h++)l=\"annotations[\"+h+\"].\",(s=c[h])[u+\"ref\"]===e._id&&d(u),s[\"a\"+u+\"ref\"]===e._id&&d(\"a\"+u);function d(t){var n=s[t],c=null;c=o?i(n,e.range):Math.pow(10,n),r(c)||(c=null),a(l+t,c)}}},{\"../../lib/to_log_range\":805,\"fast-isnumeric\":241}],631:[function(t,e,n){\"use strict\";var r=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,n){function a(n,i){return r.coerce(t,e,s,n,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,n,a);for(var u=e.showarrow,h=[\"x\",\"y\"],d=[-10,-30],f={_fullLayout:n},p=0;p<2;p++){var m=h[p],g=i.coerceRef(t,e,f,m,\"\",\"paper\");if(\"paper\"!==g&&i.getFromId(f,g)._annIndices.push(e._index),i.coercePosition(e,f,a,g,m,.5),u){var 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C=\"clip\"+w._uid+\"_ann\"+n;if(e._input&&!1!==e.visible){var E={x:{},y:{}},O=+e.textangle||0,D=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(n)).style(\"opacity\",e.opacity),I=D.append(\"g\").classed(\"annotation-text-g\",!0),P=M[e.showarrow?\"annotationTail\":\"annotationPosition\"],R=e.captureevents||M.annotationText||P,z=I.append(\"g\").style(\"pointer-events\",R?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",W(r.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var n=e.hoverlabel,r=n.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();h.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:n.bgcolor,borderColor:n.bordercolor,fontFamily:r.family,fontSize:r.size,fontColor:r.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){h.loneUnhover(w._hoverlayer.node())}));var 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yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===nt&&(ht.head=o.constrain(ht.head,1,yt-1)),\"pixel\"===rt){var vt=-Math.max(ht.tail-3,ht.text),_t=Math.min(ht.tail+3,ht.text)-yt;vt>0?(ht.tail+=vt,ht.text+=vt):_t>0&&(ht.tail-=_t,ht.text-=_t)}ht.tail+=ut,ht.head+=ut}else K=tt=lt*q(Q,ct),ht.text=J+tt;ht.text+=ut,tt+=ut,e[\"_\"+et+\"padplus\"]=lt/2+(K+=ut),e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(G)z.remove();else{var bt=0,xt=0;\"left\"!==e.align&&(bt=(T-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(xt=(R-x)*(\"middle\"===e.valign?.5:1)),h?r.select(\"svg\").attr({x:F+bt-1,y:F+xt}).call(u.setClipUrl,B?C:null,t):U.call(d.positionText,F+bt-m.left,F+xt-m.top).call(u.setClipUrl,B?C:null,t),Y.select(\"rect\").call(u.setRect,F,F,T,R),N.call(u.setRect,j/2,j/2,H-j,V-j),z.call(u.setTranslate,Math.round(E.x.text-H/2),Math.round(E.y.text-V/2)),I.attr({transform:\"rotate(\"+O+\",\"+E.x.text+\",\"+E.y.text+\")\"});var wt,kt=function(n,r){D.selectAll(\".annotation-arrow-g\").remove();var l=E.x.head,h=E.y.head,d=E.x.tail+n,f=E.y.tail+r,m=E.x.text+n,b=E.y.text+r,x=o.rotationXYMatrix(O,m,b),w=o.apply2DTransform(x),T=o.apply2DTransform2(x),C=+N.attr(\"width\"),P=+N.attr(\"height\"),R=m-.5*C,j=R+C,F=b-.5*P,B=F+P,Y=[[R,F,R,B],[R,B,j,B],[j,B,j,F],[j,F,R,F]].map(T);if(!Y.reduce((function(t,e){return t^!!o.segmentsIntersect(l,h,l+1e6,h+1e6,e[0],e[1],e[2],e[3])}),!1)){Y.forEach((function(t){var e=o.segmentsIntersect(d,f,l,h,t[0],t[1],t[2],t[3]);e&&(d=e.x,f=e.y)}));var H=e.arrowwidth,V=e.arrowcolor,U=e.arrowside,W=D.append(\"g\").style({opacity:c.opacity(V)}).classed(\"annotation-arrow-g\",!0),q=W.append(\"path\").attr(\"d\",\"M\"+d+\",\"+f+\"L\"+l+\",\"+h).style(\"stroke-width\",H+\"px\").call(c.stroke,c.rgb(V));if(g(q,U,e),M.annotationPosition&&q.node().parentNode&&!a){var G=l,X=h;if(e.standoff){var Z=Math.sqrt(Math.pow(l-d,2)+Math.pow(h-f,2));G+=e.standoff*(d-l)/Z,X+=e.standoff*(f-h)/Z}var 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r=t(\"./draw\"),i=t(\"./click\");e.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"annotations\"),calcAutorange:t(\"./calc_autorange\"),draw:r.draw,drawOne:r.drawOne,drawRaw:r.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(\"./convert_coords\")}},{\"../../plots/cartesian/include_components\":840,\"./attributes\":626,\"./calc_autorange\":627,\"./click\":628,\"./convert_coords\":630,\"./defaults\":631,\"./draw\":632}],635:[function(t,e,n){\"use strict\";var r=t(\"../annotations/attributes\"),i=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../plot_api/plot_template\").templatedArray;e.exports=i(a(\"annotation\",{visible:r.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:r.xanchor,xshift:r.xshift,yanchor:r.yanchor,yshift:r.yshift,text:r.text,textangle:r.textangle,font:r.font,width:r.width,height:r.height,opacity:r.opacity,align:r.align,valign:r.valign,bgcolor:r.bgcolor,bordercolor:r.bordercolor,borderpad:r.borderpad,borderwidth:r.borderwidth,showarrow:r.showarrow,arrowcolor:r.arrowcolor,arrowhead:r.arrowhead,startarrowhead:r.startarrowhead,arrowside:r.arrowside,arrowsize:r.arrowsize,startarrowsize:r.startarrowsize,arrowwidth:r.arrowwidth,standoff:r.standoff,startstandoff:r.startstandoff,hovertext:r.hovertext,hoverlabel:r.hoverlabel,captureevents:r.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":810,\"../../plot_api/plot_template\":817,\"../annotations/attributes\":626}],636:[function(t,e,n){\"use 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r.coerce(t,e,s,n,i)}function c(t){var r=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[r]=n[r],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),r.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),r.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,n){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:n.fullLayout})}},{\"../../lib\":778,\"../../plots/array_container_defaults\":823,\"../../plots/cartesian/axes\":828,\"../annotations/common_defaults\":629,\"./attributes\":635}],638:[function(t,e,n){\"use strict\";var r=t(\"../annotations/draw\").drawRaw,i=t(\"../../plots/gl3d/project\"),a=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,n=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=a[u],d=e[h+\"axis\"].r2fraction(l[h]);if(d<0||d>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*n[0],e.yaxis.r2l(l.y)*n[1],e.zaxis.r2l(l.z)*n[2]]),r(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":879,\"../annotations/draw\":632}],639:[function(t,e,n){\"use strict\";var r=t(\"../../registry\"),i=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var n=r.subplotsRegistry.gl3d;if(n)for(var a=n.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,n),i.pushUnique(e._subplots.gl3d,l))}},convert:t(\"./convert\"),draw:t(\"./draw\")}},{\"../../lib\":778,\"../../registry\":911,\"./attributes\":635,\"./convert\":636,\"./defaults\":637,\"./draw\":638}],640:[function(t,e,n){\"use 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strict\";var r=t(\"./calendars\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\"),o=a.EPOCHJD,s=a.ONEDAY,l={valType:\"enumerated\",values:Object.keys(r.calendars),editType:\"calc\",dflt:\"gregorian\"},c=function(t,e,n,r){var a={};return a[n]=l,i.coerce(t,e,a,n,r)},u=\"##\",h={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:u,w:u,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}},d={};function f(t){return d[t]||(d[t]=r.instance(t))}function p(t){return i.extendFlat({},l,{description:t})}function m(t){return\"Sets the calendar system to use with `\"+t+\"` date data.\"}var g={xcalendar:p(m(\"x\"))},y=i.extendFlat({},g,{ycalendar:p(m(\"y\"))}),v=i.extendFlat({},y,{zcalendar:p(m(\"z\"))}),_=p([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:v,surface:v,mesh3d:v,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:_},yaxis:{calendar:_},scene:{xaxis:{calendar:_},yaxis:{calendar:_},zaxis:{calendar:_}},polar:{radialaxis:{calendar:_}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,n,r){for(var i=0;i<n.length;i++)c(t,e,n[i]+\"calendar\",r.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,n){for(var r,i,a,l,c,d=Math.floor((e+.05)/s)+o,p=f(n).fromJD(d),m=0;-1!==(m=t.indexOf(\"%\",m));)\"0\"===(r=t.charAt(m+1))||\"-\"===r||\"_\"===r?(a=3,i=t.charAt(m+2),\"_\"===r&&(r=\"-\")):(i=r,r=\"0\",a=2),(l=h[i])?(c=l===u?u:p.formatDate(l[r]),t=t.substr(0,m)+c+t.substr(m+a),m+=c.length):m+=a;return t}}},{\"../../constants/numerical\":753,\"../../lib\":778,\"./calendars\":640}],642:[function(t,e,n){\"use strict\";n.defaults=[\"#1f77b4\",\"#ff7f0e\",\"#2ca02c\",\"#d62728\",\"#9467bd\",\"#8c564b\",\"#e377c2\",\"#7f7f7f\",\"#bcbd22\",\"#17becf\"],n.defaultLine=\"#444\",n.lightLine=\"#eee\",n.background=\"#fff\",n.borderLine=\"#BEC8D9\",n.lightFraction=1e3/11},{}],643:[function(t,e,n){\"use strict\";var r=t(\"tinycolor2\"),i=t(\"fast-isnumeric\"),a=e.exports={},o=t(\"./attributes\");a.defaults=o.defaults;var s=a.defaultLine=o.defaultLine;a.lightLine=o.lightLine;var l=a.background=o.background;function c(t){if(i(t)||\"string\"!=typeof t)return t;var e=t.trim();if(\"rgb\"!==e.substr(0,3))return t;var 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U=(R+j)/2,W=(F+B)/2,q=b({x0:U,y0:W,x1:U+(j-R+z-P)/2*h,y1:W+(Y-N+B-F)/2*d});H&&(q.x0=p(y.xaxis,q.x0),q.x1=p(y.xaxis,q.x1)),V&&(q.y0=p(y.yaxis,q.y0),q.y1=p(y.yaxis,q.y1)),I.x0=q.x0,I.y0=q.y0,I.x1=q.x1,I.y1=q.y1}else I.type=\"path\",x&&w&&function(t,e,n){var r=\"date\"===e.type,i=\"date\"===n.type;if(!r&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)r&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"))}(D,x,w),I.path=_(D),E=null;g(o);for(var G=e.editHelpers,X=(G||{}).modifyItem,Z=[],J=0;J<A.length;J++){var K=o._fullLayout.shapes[J];if(Z[J]=K._input,void 0!==T&&J===o._fullLayout._activeShapeIndex){var $=I;switch(K.type){case\"line\":case\"rect\":case\"circle\":X(\"x0\",$.x0),X(\"x1\",$.x1),X(\"y0\",$.y0),X(\"y1\",$.y1);break;case\"path\":X(\"path\",$.path)}}}return void 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r?r._hadPlotinfo=!0:(r={},n.xref&&\"paper\"!==n.xref&&(r.xaxis=t._fullLayout[n.xref+\"axis\"]),n.yref&&\"paper\"!==n.yref&&(r.yaxis=t._fullLayout[n.yref+\"axis\"])),r.xsizemode=n.xsizemode,r.ysizemode=n.ysizemode,r.xanchor=n.xanchor,r.yanchor=n.yanchor,{options:n,plotinfo:r}}},{\"../../lib\":778,\"./constants\":722}],732:[function(t,e,n){\"use strict\";var r=t(\"./draw\");e.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),supplyDrawNewShapeDefaults:t(\"./draw_newshape/defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"shapes\"),calcAutorange:t(\"./calc_autorange\"),draw:r.draw,drawOne:r.drawOne}},{\"../../plots/cartesian/include_components\":840,\"./attributes\":720,\"./calc_autorange\":721,\"./defaults\":723,\"./draw\":724,\"./draw_newshape/defaults\":727}],733:[function(t,e,n){\"use strict\";var r=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:r({})},font:r({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":768,\"../../plot_api/edit_types\":810,\"../../plot_api/plot_template\":817,\"../../plots/animation_attributes\":822,\"../../plots/font_attributes\":856,\"../../plots/pad_attributes\":890,\"./constants\":734}],734:[function(t,e,n){\"use 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b={y:e.y,b:u.height*m[v],t:u.height*p[v]};\"fraction\"===e.lenmode?(b.l=0,b.xl=e.x-e.len*p[y],b.r=0,b.xr=e.x+e.len*m[y]):(b.x=e.x,b.l=u.outerLength*p[y],b.r=u.outerLength*m[y]),i.autoMargin(t,g(e),b)}function _(t,e,n){if(e.currentvalue.visible){var r,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":r=a.inputAreaLength-h.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":r=.5*a.inputAreaLength,i=\"middle\";break;default:r=h.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof n)u+=n;else{var d=e.steps[e.active].label,p=e._gd._fullLayout._meta;p&&(d=s.templateString(d,p)),u+=d}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l);return 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n=r.select(this);n.call(x,t,e),o.setTranslate(n,L(e,t.fraction),h.tickOffset+e.ticklen+e.font.size*f+h.labelOffset+i.currentValueTotalHeight)}))}function k(t,e,n,r,i){var a=Math.round(r*(n._stepCount-1)),o=n._visibleSteps[a]._index;o!==n.active&&M(t,e,n,o,!0,i)}function M(t,e,n,r,a,o){var s=n.active;n.active=r,u(t.layout,h.name,n).applyUpdate(\"active\",r);var l=n.steps[n.active];e.call(A,n,o),e.call(_,n),t.emit(\"plotly_sliderchange\",{slider:n,step:n.steps[n.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var n=e._nextMethod.step;n.method&&(n.execute&&i.executeAPICommand(t,n.method,n.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function T(t,e,n){var i=n.node(),o=r.select(e);function s(){return n.data()[0]}t.on(\"mousedown\",(function(){var 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r=t(\"d3\"),i=t(\"tinycolor2\"),a=t(\"has-passive-events\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../lib/svg_text_utils\"),u=t(\"../../components/color\"),h=t(\"../../components/drawing\"),d=t(\"../../components/fx\"),f=t(\"./axes\"),p=t(\"../../lib/setcursor\"),m=t(\"../../components/dragelement\"),g=t(\"../../components/dragelement/helpers\"),y=g.selectingOrDrawing,v=g.freeMode,_=t(\"../../constants/alignment\").FROM_TL,b=t(\"../../lib/clear_gl_canvases\"),x=t(\"../../plot_api/subroutines\").redrawReglTraces,w=t(\"../plots\"),k=t(\"./axis_ids\").getFromId,M=t(\"./select\").prepSelect,T=t(\"./select\").clearSelect,S=t(\"./select\").selectOnClick,A=t(\"./scale_zoom\"),L=t(\"./constants\"),C=L.MINDRAG,E=L.MINZOOM,O=!0;function D(t,e,n,r){var i=s.ensureSingle(t.draglayer,e,n,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return i.call(p,r),i.node()}function I(t,e,n,i,a,o,s){var 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e=t.searchInfo.cd[0].trace,n=t.pointNumbers;return!!e.selectedpoints&&e.selectedpoints.indexOf(n.length>0?n[0]:t.pointNumber)>-1}function Y(t,e,n){var r,a,o,s;for(r=0;r<e.length;r++){var l=e[r].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(n){var u=n.points||[];for(r=0;r<e.length;r++)(s=e[r].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(r=0;r<u.length;r++){var h=u[r],d=h.data,f=h.fullData;h.pointIndices?([].push.apply(d.selectedpoints,h.pointIndices),s._fullInput!==s&&[].push.apply(f.selectedpoints,h.pointIndices)):(d.selectedpoints.push(h.pointIndex),s._fullInput!==s&&f.selectedpoints.push(h.pointIndex))}}else for(r=0;r<e.length;r++)delete(s=e[r].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var p=!1;for(r=0;r<e.length;r++){i.traceIs(s=(o=(a=e[r]).cd)[0].trace,\"regl\")&&(p=!0);var m=a._module,g=m.styleOnSelect||m.style;g&&(g(t,o,o[0].node3),o[0].nodeRangePlot3&&g(t,o,o[0].nodeRangePlot3))}p&&(w(t),k(t))}function H(t,e){if(Array.isArray(t))for(var n=e.cd,r=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],r,n);return t}function V(t,e){for(var n=[],r=0;r<t.length;r++){n[r]=[];for(var i=0;i<t[r].length;i++){n[r][i]=[],n[r][i][0]=i?\"L\":\"M\";for(var a=0;a<t[r][i].length;a++)n[r][i].push(t[r][i][a])}e||n[r].push([\"Z\",n[r][0][1],n[r][0][2]])}return n}e.exports={prepSelect:function(t,e,n,i,l){var c=u(l),y=h(l),_=f(l),x=d(l),w=p(l),k=\"drawcircle\"===l,L=\"drawline\"===l||k,C=i.gd,P=C._fullLayout,R=P._zoomlayer,B=i.element.getBoundingClientRect(),U=i.plotinfo,W=D(U),q=e-B.left,G=n-B.top;P._calcInverseTransform(C);var X,Z,J,K,$,Q,tt,et=v.apply3DTransform(P._invTransform)(q,G),nt=P._invScaleX,rt=P._invScaleY,it=q=et[0],at=G=et[1],ot=\"M\"+q+\",\"+G,st=i.xaxes[0]._length,lt=i.yaxes[0]._length,ct=i.xaxes.concat(i.yaxes),ut=t.altKey&&!(d(l)&&_);j(t,C,i),c&&(X=S([[q,G]],M.BENDPX));var ht=R.selectAll(\"path.select-outline-\"+U.id).data(x?[0]:[1,2]),dt=P.newshape;ht.enter().append(\"path\").attr(\"class\",(function(t){return\"select-outline select-outline-\"+t+\" select-outline-\"+U.id})).style(x?{opacity:dt.opacity/2,fill:_?void 0:dt.fillcolor,stroke:dt.line.color,\"stroke-dasharray\":a(dt.line.dash,dt.line.width),\"stroke-width\":dt.line.width+\"px\"}:{}).attr(\"fill-rule\",dt.fillrule).classed(\"cursor-move\",!!x).attr(\"transform\",W).attr(\"d\",ot+\"Z\");var ft,pt=R.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:o.background,stroke:o.defaultLine,\"stroke-width\":1}).attr(\"transform\",W).attr(\"d\",\"M0,0Z\"),mt=P._uid+M.SELECTID,gt=[],yt=N(C,i.xaxes,i.yaxes,i.subplot);function vt(t,e){return t-e}ft=U.fillRangeItems?U.fillRangeItems:y?function(t,e){var n=t.range={};for($=0;$<ct.length;$++){var r=ct[$],i=r._id.charAt(0);n[r._id]=[E(r,e[i+\"min\"]),E(r,e[i+\"max\"])].sort(vt)}}:function(t,e,n){var r=t.lassoPoints={};for($=0;$<ct.length;$++){var i=ct[$];r[i._id]=n.filtered.map(O(i))}},i.moveFn=function(t,e){it=Math.max(0,Math.min(st,nt*t+q)),at=Math.max(0,Math.min(lt,rt*e+G));var n=Math.abs(it-q),a=Math.abs(at-G);if(y){var o,s,l;if(w){var u=P.selectdirection;switch(o=\"any\"===u?a<Math.min(.6*n,T)?\"h\":n<Math.min(.6*a,T)?\"v\":\"d\":u){case\"h\":s=k?lt/2:0,l=lt;break;case\"v\":s=k?st/2:0,l=st}}if(x)switch(P.newshape.drawdirection){case\"vertical\":o=\"h\",s=k?lt/2:0,l=lt;break;case\"horizontal\":o=\"v\",s=k?st/2:0,l=st;break;case\"ortho\":n<a?(o=\"h\",s=G,l=at):(o=\"v\",s=q,l=it);break;default:o=\"d\"}\"h\"===o?((K=L?g(k,[it,s],[it,l]):[[q,s],[q,l],[it,l],[it,s]]).xmin=L?it:Math.min(q,it),K.xmax=L?it:Math.max(q,it),K.ymin=Math.min(s,l),K.ymax=Math.max(s,l),pt.attr(\"d\",\"M\"+K.xmin+\",\"+(G-T)+\"h-4v\"+2*T+\"h4ZM\"+(K.xmax-1)+\",\"+(G-T)+\"h4v\"+2*T+\"h-4Z\")):\"v\"===o?((K=L?g(k,[s,at],[l,at]):[[s,G],[s,at],[l,at],[l,G]]).xmin=Math.min(s,l),K.xmax=Math.max(s,l),K.ymin=L?at:Math.min(G,at),K.ymax=L?at:Math.max(G,at),pt.attr(\"d\",\"M\"+(q-T)+\",\"+K.ymin+\"v-4h\"+2*T+\"v4ZM\"+(q-T)+\",\"+(K.ymax-1)+\"v4h\"+2*T+\"v-4Z\")):\"d\"===o&&((K=L?g(k,[q,G],[it,at]):[[q,G],[q,at],[it,at],[it,G]]).xmin=Math.min(q,it),K.xmax=Math.max(q,it),K.ymin=Math.min(G,at),K.ymax=Math.max(G,at),pt.attr(\"d\",\"M0,0Z\"))}else c&&(X.addPt([it,at]),K=X.filtered);i.selectionDefs&&i.selectionDefs.length?(J=function(t,e,n){return n?r.difference({regions:t,inverted:!1},{regions:[e],inverted:!1}).regions:r.union({regions:t,inverted:!1},{regions:[e],inverted:!1}).regions}(i.mergedPolygons,K,ut),K.subtract=ut,Z=z(i.selectionDefs.concat([K]))):(J=[K],Z=A(K)),m(V(J,_),ht,i),w&&b.throttle(mt,M.SELECTDELAY,(function(){var t;gt=[];var e,n=[];for($=0;$<yt.length;$++)if(e=(Q=yt[$])._module.selectPoints(Q,Z),n.push(e),t=H(e,Q),gt.length)for(var r=0;r<t.length;r++)gt.push(t[r]);else gt=t;Y(C,yt,tt={points:gt}),ft(tt,K,X),i.gd.emit(\"plotly_selecting\",tt)}))},i.clickFn=function(t,e){if(pt.remove(),C._fullLayout._activeShapeIndex>=0)C._fullLayout._deactivateShape(C);else if(!x){var n=P.clickmode;b.done(mt).then((function(){if(b.clear(mt),2===t){for(ht.remove(),$=0;$<yt.length;$++)(Q=yt[$])._module.selectPoints(Q,!1);Y(C,yt),F(i),C.emit(\"plotly_deselect\",null)}else n.indexOf(\"select\")>-1&&I(e,C,i.xaxes,i.yaxes,i.subplot,i,ht),\"event\"===n&&C.emit(\"plotly_selected\",void 0);s.click(C,e)})).catch(v.error)}},i.doneFn=function(){pt.remove(),b.done(mt).then((function(){b.clear(mt),i.gd.emit(\"plotly_selected\",tt),K&&i.selectionDefs&&(K.subtract=ut,i.selectionDefs.push(K),i.mergedPolygons.length=0,[].push.apply(i.mergedPolygons,J)),i.doneFnCompleted&&i.doneFnCompleted(gt)})).catch(v.error),x&&F(i)}},clearSelect:L,clearSelectionsCache:F,selectOnClick:I}},{\"../../components/color\":643,\"../../components/dragelement/helpers\":661,\"../../components/drawing\":665,\"../../components/fx\":683,\"../../components/fx/helpers\":679,\"../../components/shapes/draw_newshape/display_outlines\":728,\"../../components/shapes/draw_newshape/helpers\":729,\"../../components/shapes/draw_newshape/newshapes\":730,\"../../lib\":778,\"../../lib/clear_gl_canvases\":762,\"../../lib/polygon\":790,\"../../lib/throttle\":804,\"../../plot_api/subroutines\":818,\"../../registry\":911,\"./axis_ids\":831,\"./constants\":834,\"./handle_outline\":838,\"./helpers\":839,polybooljs:517}],848:[function(t,e,n){\"use strict\";var r=t(\"d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"fast-isnumeric\"),o=t(\"../../lib\"),s=o.cleanNumber,l=o.ms2DateTime,c=o.dateTime2ms,u=o.ensureNumber,h=o.isArrayOrTypedArray,d=t(\"../../constants/numerical\"),f=d.FP_SAFE,p=d.BADNUM,m=d.LOG_CLIP,g=d.ONEWEEK,y=d.ONEDAY,v=d.ONEHOUR,_=d.ONEMIN,b=d.ONESEC,x=t(\"./axis_ids\"),w=t(\"./constants\"),k=w.HOUR_PATTERN,M=w.WEEKDAY_PATTERN;function T(t){return Math.pow(10,t)}function S(t){return null!=t}e.exports=function(t,e){e=e||{};var n=t._id||\"x\",d=n.charAt(0);function A(e,n){if(e>0)return Math.log(e)/Math.LN10;if(e<=0&&n&&t.range&&2===t.range.length){var r=t.range[0],i=t.range[1];return.5*(r+i-2*m*Math.abs(r-i))}return p}function L(e,n,r,i){if((i||{}).msUTC&&a(e))return+e;var s=c(e,r||t.calendar);if(s===p){if(!a(e))return p;e=+e;var l=Math.floor(10*o.mod(e+.05,1)),u=Math.round(e-l/10);s=c(new Date(u))+l/10}return s}function C(e,n,r){return l(e,n,r||t.calendar)}function E(e){return t._categories[Math.round(e)]}function 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r=0,i=0;i<n&&!(e<t._rangebreaks[i].pmin);i++)e>t._rangebreaks[i].pmax&&(r=i+1);return z(e,t._m2,t._B[r])}}t.c2l=\"log\"===t.type?A:u,t.l2c=\"log\"===t.type?T:u,t.l2p=j,t.p2l=F,t.c2p=\"log\"===t.type?function(t,e){return j(A(t,e))}:j,t.p2c=\"log\"===t.type?function(t){return T(F(t))}:F,-1!==[\"linear\",\"-\"].indexOf(t.type)?(t.d2r=t.r2d=t.d2c=t.r2c=t.d2l=t.r2l=s,t.c2d=t.c2r=t.l2d=t.l2r=u,t.d2p=t.r2p=function(e){return t.l2p(s(e))},t.p2d=t.p2r=F,t.cleanPos=u):\"log\"===t.type?(t.d2r=t.d2l=function(t,e){return A(s(t),e)},t.r2d=t.r2c=function(t){return T(s(t))},t.d2c=t.r2l=s,t.c2d=t.l2r=u,t.c2r=A,t.l2d=T,t.d2p=function(e,n){return t.l2p(t.d2r(e,n))},t.p2d=function(t){return T(F(t))},t.r2p=function(e){return t.l2p(s(e))},t.p2r=F,t.cleanPos=u):\"date\"===t.type?(t.d2r=t.r2d=o.identity,t.d2c=t.r2c=t.d2l=t.r2l=L,t.c2d=t.c2r=t.l2d=t.l2r=C,t.d2p=t.r2p=function(e,n,r){return t.l2p(L(e,0,r))},t.p2d=t.p2r=function(t,e,n){return C(F(t),e,n)},t.cleanPos=function(e){return 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r=t(\"d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=a.strTranslate,s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../../components/fx\"),u=t(\"../plots\"),h=t(\"../cartesian/axes\"),d=t(\"../cartesian/autorange\").getAutoRange,f=t(\"../../components/dragelement\"),p=t(\"../cartesian/select\").prepSelect,m=t(\"../cartesian/select\").clearSelect,g=t(\"../cartesian/select\").selectOnClick,y=t(\"./zoom\"),v=t(\"./constants\"),_=t(\"../../lib/geo_location_utils\"),b=t(\"../../lib/topojson_utils\"),x=t(\"topojson-client\").feature;function w(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}t(\"./projections\")(r);var k=w.prototype;function M(t,e){var n=v.clipPad,r=t[0]+n,i=t[1]-n,a=e[0]+n,o=e[1]-n;r>0&&i<0&&(i+=360);var s=(i-r)/4;return{type:\"Polygon\",coordinates:[[[r,a],[r,o],[r+s,o],[r+2*s,o],[r+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[r,a]]]}}e.exports=function(t){return new w(t)},k.plot=function(t,e,n){var r=this,i=e[this.id],a=[],o=!1;for(var s in v.layerNameToAdjective)if(\"frame\"!==s&&i[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var 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e=t.projection.type,n=r.geo[v.projNames[e]](),i=t._isClipped?v.lonaxisSpan[e]/2:null,a=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],o=function(t){return t?n:[]},s=0;s<a.length;s++){var l=a[s];\"function\"!=typeof n[l]&&(n[l]=o)}return n.isLonLatOverEdges=function(t){if(null===n(t))return!0;if(i){var e=n.rotate();return r.geo.distance(t,[-e[0],-e[1]])>i*Math.PI/180}return!1},n.getPath=function(){return r.geo.path().projection(n)},n.getBounds=function(t){return n.getPath().bounds(t)},n.fitExtent=function(t,e){var r=t[1][0]-t[0][0],i=t[1][1]-t[0][1],a=n.clipExtent&&n.clipExtent();n.scale(150).translate([0,0]),a&&n.clipExtent(null);var o=n.getBounds(e),s=Math.min(r/(o[1][0]-o[0][0]),i/(o[1][1]-o[0][1])),l=+t[0][0]+(r-s*(o[1][0]+o[0][0]))/2,c=+t[0][1]+(i-s*(o[1][1]+o[0][1]))/2;return 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r,i,a,o=e[t],s=v.scopeDefaults[e.scope];\"lonaxis\"===t?(r=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(r=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[r[0],r[1]-1e-6],tick0:o.tick0,dtick:o.dtick};h.setConvert(l,n);var c=h.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,d=new Array(u),f=0;f<u;f++)for(var p=c[f].x,m=d[f]=[],g=i[0];g<i[1]+2.5;g+=2.5)m.push(a(p,g));return{type:\"MultiLineString\",coordinates:d}}(n,e,t)).call(s.stroke,e[n].gridcolor).call(l.dashLine,\"\",e[n].gridwidth),u(n)?r.call(s.stroke,e[a+\"color\"]).call(l.dashLine,\"\",e[a+\"width\"]):d(n)&&r.call(s.fill,e[a+\"color\"])}))},k.updateDims=function(t,e){var n=this.bounds,r=(e.framewidth||0)/2,i=n[0][0]-r,a=n[0][1]-r,o=n[1][0]-i+r,c=n[1][1]-a+r;l.setRect(this.clipRect,i,a,o,c),this.bgRect.call(l.setRect,i,a,o,c).call(s.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=c},k.updateFx=function(t,e){var n=this,a=n.graphDiv,o=n.bgRect,s=t.dragmode,l=t.clickmode;if(!n.isStatic){var u;\"select\"===s?u=function(t,e){(t.range={})[n.id]=[d([e.xmin,e.ymin]),d([e.xmax,e.ymax])]}:\"lasso\"===s&&(u=function(t,e,r){(t.lassoPoints={})[n.id]=r.filtered.map(d)});var h={element:n.bgRect.node(),gd:a,plotinfo:{id:n.id,xaxis:n.xaxis,yaxis:n.yaxis,fillRangeItems:u},xaxes:[n.xaxis],yaxes:[n.yaxis],subplot:n.id,clickFn:function(t){2===t&&m(a)}};\"pan\"===s?(o.node().onmousedown=null,o.call(y(n,e)),o.on(\"dblclick.zoom\",(function(){var t=n.viewInitial,e={};for(var r in 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t=this,e=t.graphDiv,n=e._fullLayout,i=\"clip\"+n._uid+t.id;t.clipDef=n._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=r.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(l.setClipUrl,i,e),t.project=function(e){var n=t.projection(e);return n?[n[0]-t.xaxis._offset,n[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},h.setConvert(t.mockAxis,n)},k.saveViewInitial=function(t){var 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o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,n,r,a,o,l,c,u,h,d,f;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),d=0;d<2;++d){var p=(e=s[d]).charAt(0);for(r=(n=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[p]?\"\":n.title.text,f=0;f<=2;f+=2)this.labelEnable[d+f]=!1,this.labels[d+f]=r,this.labelColor[d+f]=i(n.title.font.color),this.labelFont[d+f]=n.title.font.family,this.labelSize[d+f]=n.title.font.size,this.labelPad[d+f]=this.getLabelPad(e,n),this.tickEnable[d+f]=!1,this.tickColor[d+f]=i((n.tickfont||{}).color),this.tickAngle[d+f]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180,this.tickPad[d+f]=this.getTickPad(n),this.tickMarkLength[d+f]=0,this.tickMarkWidth[d+f]=n.tickwidth||0,this.tickMarkColor[d+f]=i(n.tickcolor),this.borderLineEnable[d+f]=!1,this.borderLineColor[d+f]=i(n.linecolor),this.borderLineWidth[d+f]=n.linewidth||0;c=this.hasSharedAxis(n),o=this.hasAxisInDfltPos(e,n)&&!c,l=this.hasAxisInAltrPos(e,n)&&!c,a=n.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,h=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[d]=!0:l&&(this.labelEnable[d+2]=!0),o?this.tickEnable[d]=n.showticklabels:l&&(this.tickEnable[d+2]=n.showticklabels),(o||u)&&(this.borderLineEnable[d]=n.showline),(l||u)&&(this.borderLineEnable[d+2]=n.showline),(o||h)&&(this.tickMarkLength[d]=this.getTickMarkLength(n)),(l||h)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(n)),this.gridLineEnable[d]=n.showgrid,this.gridLineColor[d]=i(n.gridcolor),this.gridLineWidth[d]=n.gridwidth,this.zeroLineEnable[d]=n.zeroline,this.zeroLineColor[d]=i(n.zerolinecolor),this.zeroLineWidth[d]=n.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene;return 0!==r.findSubplotsWithAxis(e.fullLayout._subplots.gl2d,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var n=e.side;return\"xaxis\"===t?\"bottom\"===n:\"yaxis\"===t?\"left\"===n:void 0},o.hasAxisInAltrPos=function(t,e){var n=e.side;return\"xaxis\"===t?\"top\"===n:\"yaxis\"===t?\"right\"===n:void 0},o.getLabelPad=function(t,e){var n=1.5,r=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(n+(i?1:0))-10:r*(n+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(n+(i?1:.5)):10+r*(n+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":802,\"../cartesian/axes\":828}],868:[function(t,e,n){\"use strict\";var r=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;n.name=\"gl2d\",n.attr=[\"xaxis\",\"yaxis\"],n.idRoot=[\"x\",\"y\"],n.idRegex=s.idRegex,n.attrRegex=s.attrRegex,n.attributes=t(\"../cartesian/attributes\"),n.supplyLayoutDefaults=function(t,e,n){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,n)},n.layoutAttrOverrides=r(l.layoutAttributes,\"plot\",\"from-root\"),n.baseLayoutAttrOverrides=r({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),n.plot=function(t){for(var e=t._fullLayout,n=t._fullData,r=e._subplots.gl2d,a=0;a<r.length;a++){var o=r[a],s=e._plots[o],l=u(n,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},n.clean=function(t,e,n,r){for(var i=r._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=r._plots[o];s._scene2d&&0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete r._plots[o])}l.clean.apply(this,arguments)},n.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},n.toSVG=function(t){for(var e=t._fullLayout,n=e._subplots.gl2d,r=0;r<n.length;r++){var i=e._plots[n[r]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},n.updateFx=function(t){for(var e=t._fullLayout,n=e._subplots.gl2d,r=0;r<n.length;r++)e._plots[n[r]]._scene2d.updateFx(e.dragmode)}},{\"../../components/fx/layout_attributes\":684,\"../../constants/xmlns_namespaces\":754,\"../../plot_api/edit_types\":810,\"../cartesian\":841,\"../cartesian/attributes\":826,\"../cartesian/constants\":834,\"../get_data\":865,\"../layout_attributes\":882,\"./scene2d\":869}],869:[function(t,e,n){\"use strict\";var r,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),d=t(\"./convert\"),f=t(\"./camera\"),p=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,y=m.clean,v=t(\"../cartesian/autorange\").doAutoRange,_=t(\"../../components/dragelement/helpers\"),b=_.drawMode,x=_.selectMode,w=[\"xaxis\",\"yaxis\"],k=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function M(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=d(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=f(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=M;var T=M.prototype;T.makeFramework=function(){if(this.staticPlot){if(!(i||(r=document.createElement(\"canvas\"),i=h({canvas:r,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=r,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return p(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var n=this.canvas;n.style.width=\"100%\",n.style.height=\"100%\",n.style.position=\"absolute\",n.style.top=\"0px\",n.style.left=\"0px\",n.style[\"pointer-events\"]=\"none\",this.updateSize(n);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},T.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(r),this.updateSize(this.canvas);var e=this.glplot.gl,n=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);e.readPixels(0,0,n,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<n;++l)for(var c=0;c<4;++c){var u=a[4*(n*o+l)+c];a[4*(n*o+l)+c]=a[4*(n*s+l)+c],a[4*(n*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=n,h.height=i;var d,f=h.getContext(\"2d\"),p=f.createImageData(n,i);switch(p.data.set(a),f.putImageData(p,0,0),t){case\"jpeg\":d=h.toDataURL(\"image/jpeg\");break;case\"webp\":d=h.toDataURL(\"image/webp\");break;default:d=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(r),d},T.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,n=this.fullLayout,r=n.height,i=0|Math.ceil(e*n.width),a=0|Math.ceil(e*r);return t.width===i&&t.height===a||(t.width=i,t.height=a),t},T.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var n=0;n<t[e].length;++n)t[e][n].text=t[e][n].text+\"\";return t},T.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(k),n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[\"xaxis\"+e[1]],this.yaxis=this.fullLayout[n]},T.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,n=this.yaxis,r=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[n._name+\".range\"]=n.range.slice();i[e._name+\".autorange\"]=e.autorange,i[n._name+\".autorange\"]=n.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=r[e._name];l.range=o,l.autorange=e.autorange;var c=r[n._name];c.range=s,c.autorange=n.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},T.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var n=0;n<2;++n){var r=t[n],i=e[n];if(r.length!==i.length)return!0;for(var a=0;a<r.length;++a)if(r[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},T.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,n=0;n<e.length;n++){var r=e[n];r.xref===this.xaxis._id&&r.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,n)}},T.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},T.plot=function(t,e,n){var r=this.glplot;this.updateRefs(n),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(n.dragmode);var i=n.width,a=n.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(n),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};y(s,this.xaxis),y(s,this.yaxis);var l,c,u=n._size,h=this.xaxis.domain,d=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+d[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-d[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(d[1]-d[0])+\"px\",this.mouseContainer.height=u.h*(d[1]-d[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-d[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],v(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(n),r.update(o),this.glplot.draw()},T.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,n=t.range,r=e.range,i=t.r2l,a=e.r2l;return[i(n[0]),a(r[0]),i(n[1]),a(r[1])]},T.setRanges=function(t){var e=this.xaxis,n=this.yaxis,r=e.l2r,i=n.l2r;e.range=[r(t[0]),r(t[2])],n.range=[i(t[1]),i(t[3])]},T.updateTraces=function(t,e){var n,r,i,a=Object.keys(this.traces);this.fullData=t;t:for(n=0;n<a.length;n++){var o=a[n],s=this.traces[o];for(r=0;r<t.length;r++)if((i=t[r]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(n=0;n<t.length;n++){var l=e[n],c=this.traces[(i=t[n]).uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},T.updateFx=function(t){x(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},T.emitPointAction=function(t,e){for(var n,r=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===r&&(n=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:n.index,pointNumber:i,data:n._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,n,i),this.graphDiv.emit(e,{points:[o]})},T.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,n=e.mouseListener,r=1===this.lastButtonState&&0===n.buttons,i=this.fullLayout;this.lastButtonState=n.buttons,this.cameraChanged();var a,o=n.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*n.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,d=(a=t.pick(o/t.pixelRatio+h.l+this.xaxis.domain[0]*h.w,l/t.pixelRatio-(h.t+(1-this.yaxis.domain[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&r&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var f=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),f.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var p=this.fullData[f.trace.index]||{},m=f.pointIndex,g=s.castHoverinfo(p,i,m);if(g&&\"all\"!==g){var y=g.split(\"+\");-1===y.indexOf(\"x\")&&(f.traceCoord[0]=void 0),-1===y.indexOf(\"y\")&&(f.traceCoord[1]=void 0),-1===y.indexOf(\"z\")&&(f.traceCoord[2]=void 0),-1===y.indexOf(\"text\")&&(f.textLabel=void 0),-1===y.indexOf(\"name\")&&(f.name=void 0)}s.loneHover({x:f.screenCoord[0],y:f.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",f.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",f.traceCoord[1]),zLabel:f.traceCoord[2],text:f.textLabel,name:f.name,color:s.castHoverOption(p,m,\"bgcolor\")||f.color,borderColor:s.castHoverOption(p,m,\"bordercolor\"),fontFamily:s.castHoverOption(p,m,\"font.family\"),fontSize:s.castHoverOption(p,m,\"font.size\"),fontColor:s.castHoverOption(p,m,\"font.color\"),nameLength:s.castHoverOption(p,m,\"namelength\"),textAlign:s.castHoverOption(p,m,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},T.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},T.hoverFormatter=function(t,e){if(void 0!==e){var n=this[t];return o.tickText(n,n.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":661,\"../../components/fx\":683,\"../../lib/show_no_webgl_msg\":800,\"../../plots/cartesian/axes\":828,\"../../registry\":911,\"../cartesian/autorange\":827,\"../cartesian/constants\":834,\"../cartesian/constraints\":835,\"./camera\":866,\"./convert\":867,\"gl-plot2d\":317,\"gl-select-box\":333,\"gl-spikes2d\":342,\"webgl-context\":606}],870:[function(t,e,n){\"use strict\";var r=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\"),c=\"gl3d\",u=\"scene\";n.name=c,n.attr=u,n.idRoot=u,n.idRegex=n.attrRegex=s.counterRegex(\"scene\"),n.attributes=t(\"./layout/attributes\"),n.layoutAttributes=t(\"./layout/layout_attributes\"),n.baseLayoutAttrOverrides=r({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),n.supplyLayoutDefaults=t(\"./layout/defaults\"),n.plot=function(t){for(var e=t._fullLayout,n=t._fullData,r=e._subplots.gl3d,i=0;i<r.length;i++){var s=r[i],l=o(n,c,s),u=e[s],h=u.camera,d=u._scene;d||(d=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:h},e),u._scene=d),d.viewInitial||(d.viewInitial={up:{x:h.up.x,y:h.up.y,z:h.up.z},eye:{x:h.eye.x,y:h.eye.y,z:h.eye.z},center:{x:h.center.x,y:h.center.y,z:h.center.z}}),d.plot(l,e,t.layout)}},n.clean=function(t,e,n,r){for(var i=r._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&r[o]._scene&&(r[o]._scene.destroy(),r._infolayer&&r._infolayer.selectAll(\".annotation-\"+o).remove())}},n.toSVG=function(t){for(var e=t._fullLayout,n=e._subplots.gl3d,r=e._size,i=0;i<n.length;i++){var a=e[n[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:r.l+r.w*o.x[0],y:r.t+r.h*(1-o.y[1]),width:r.w*(o.x[1]-o.x[0]),height:r.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},n.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),u+e}},n.updateFx=function(t){for(var e=t._fullLayout,n=e._subplots.gl3d,r=0;r<n.length;r++)e[n[r]]._scene.updateFx(e.dragmode,e.hovermode)}},{\"../../components/fx/layout_attributes\":684,\"../../constants/xmlns_namespaces\":754,\"../../lib\":778,\"../../plot_api/edit_types\":810,\"../get_data\":865,\"./layout/attributes\":871,\"./layout/defaults\":875,\"./layout/layout_attributes\":876,\"./scene\":880}],871:[function(t,e,n){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],872:[function(t,e,n){\"use strict\";var r=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:r.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":643,\"../../../lib/extend\":768,\"../../../plot_api/edit_types\":810,\"../../cartesian/layout_attributes\":842}],873:[function(t,e,n){\"use strict\";var r=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,n){var u,h;function d(t,e){return i.coerce(u,h,o,t,e)}for(var f=0;f<c.length;f++){var p=c[f];u=t[p]||{},(h=a.newContainer(e,p))._id=p[0]+n.scene,h._name=p,s(u,h,d,n),l(u,h,d,{font:n.font,letter:p[0],data:n.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),d(\"gridcolor\",r(h.color,n.bgColor,72.72727272727273).toRgbString()),d(\"title.text\",p[0]),h.setScale=i.noop,d(\"showspikes\")&&(d(\"spikesides\"),d(\"spikethickness\"),d(\"spikecolor\",h.color)),d(\"showaxeslabels\"),d(\"showbackground\")&&d(\"backgroundcolor\")}}},{\"../../../lib\":778,\"../../../plot_api/plot_template\":817,\"../../cartesian/axis_defaults\":830,\"../../cartesian/type_defaults\":853,\"./axis_attributes\":872,tinycolor2:576}],874:[function(t,e,n){\"use strict\";var r=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var n=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(n.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(n.labelColor[o]=r(s.title.font.color)),s.title.font.family&&(n.labelFont[o]=s.title.font.family),s.title.font.size&&(n.labelSize[o]=s.title.font.size)),\"showline\"in s&&(n.lineEnable[o]=s.showline),\"linecolor\"in s&&(n.lineColor[o]=r(s.linecolor)),\"linewidth\"in s&&(n.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(n.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(n.gridColor[o]=r(s.gridcolor)),\"gridwidth\"in s&&(n.gridWidth[o]=s.gridwidth),\"log\"===s.type?n.zeroEnable[o]=!1:\"zeroline\"in s&&(n.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(n.zeroLineColor[o]=r(s.zerolinecolor)),\"zerolinewidth\"in s&&(n.zeroLineWidth[o]=s.zerolinewidth),n.lineTickEnable[o]=!(!(\"ticks\"in s)||!s.ticks),\"ticklen\"in s&&(n.lineTickLength[o]=n._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(n.lineTickColor[o]=r(s.tickcolor)),\"tickwidth\"in s&&(n.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(n.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(n.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(n.tickColor[o]=r(s.tickfont.color)),s.tickfont.family&&(n.tickFont[o]=s.tickfont.family),s.tickfont.size&&(n.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(n.lineTickMirror[o]=!0,n.lineMirror[o]=!0):!0===s.mirror?(n.lineTickMirror[o]=!1,n.lineMirror[o]=!0):(n.lineTickMirror[o]=!1,n.lineMirror[o]=!1):n.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(n.backgroundEnable[o]=!0,n.backgroundColor[o]=r(s.backgroundcolor)):n.backgroundEnable[o]=!1):(n.tickEnable[o]=!1,n.labelEnable[o]=!1,n.lineEnable[o]=!1,n.lineTickEnable[o]=!1,n.gridEnable[o]=!1,n.zeroEnable[o]=!1,n.backgroundEnable[o]=!1)}},e.exports=function(t,e){var n=new o;return n.merge(t,e),n}},{\"../../../lib\":778,\"../../../lib/str2rgbarray\":802}],875:[function(t,e,n){\"use strict\";var r=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData,u=\"gl3d\";function h(t,e,n,r){for(var o=n(\"bgcolor\"),l=i.combine(o,r.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],d=0;d<h.length;d++)n(\"camera.\"+h[d]+\".x\"),n(\"camera.\"+h[d]+\".y\"),n(\"camera.\"+h[d]+\".z\");n(\"camera.projection.type\");var f=!!n(\"aspectratio.x\")&&!!n(\"aspectratio.y\")&&!!n(\"aspectratio.z\"),p=n(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var m=c(r.fullData,u,r.id);s(t,e,{font:r.font,scene:r.id,data:m,bgColor:l,calendar:r.calendar,autotypenumbersDflt:r.autotypenumbersDflt,fullLayout:r.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,r);var g=r.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,v=t.camera.up.y,_=t.camera.up.z;0!==_&&(y&&v&&_?_/Math.sqrt(y*y+v*v+_*_)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";n(\"dragmode\",g),n(\"hovermode\",r.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,n){var i=e._basePlotModules.length>1;o(t,e,n,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:n,getDfltFromLayout:function(e){if(!i)return r.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":643,\"../../../lib\":778,\"../../../registry\":911,\"../../get_data\":865,\"../../subplot_defaults\":905,\"./axis_defaults\":873,\"./layout_attributes\":876}],876:[function(t,e,n){\"use strict\";var r=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,n){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:n,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:r,yaxis:r,zaxis:r,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":778,\"../../../lib/extend\":768,\"../../domain\":855,\"./axis_attributes\":872}],877:[function(t,e,n){\"use strict\";var r=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var n=t[i[e]];n.visible?(this.enabled[e]=n.showspikes,this.colors[e]=r(n.spikecolor),this.drawSides[e]=n.spikesides,this.lineWidth[e]=n.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":802}],878:[function(t,e,n){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,n=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(n[c].hi-n[c].lo)*n[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=n[c].lo/t.dataScale[c],u.range[1]=n[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*n[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var d=u.nticks||i.constrain(u._length/40,4,9);r.autoTicks(u,Math.abs(u.range[1]-u.range[0])/d)}for(var f=r.calcTicks(u,{msUTC:!0}),p=0;p<f.length;++p)f[p].x=f[p].x*t.dataScale[c],\"date\"===u.type&&(f[p].text=f[p].text.replace(/\\<br\\>/g,\" \"));l[c]=f,u.tickmode=h}}for(e.ticks=l,c=0;c<3;++c)for(o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]),p=0;p<2;++p)e.bounds[p][c]=t.glplot.bounds[p][c];t.contourLevels=function(t){for(var e=new Array(3),n=0;n<3;++n){for(var r=t[n],i=new Array(r.length),a=0;a<r.length;++a)i[a]=r[a].x;e[n]=i}return e}(l)};var r=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":778,\"../../cartesian/axes\":828}],879:[function(t,e,n){\"use strict\";function r(t,e){var n,r,i=[0,0,0,0];for(n=0;n<4;++n)for(r=0;r<4;++r)i[r]+=t[4*n+r]*e[n];return i}e.exports=function(t,e){return r(t.projection,r(t.view,r(t.model,[e[0],e[1],e[2],1])))}},{}],880:[function(t,e,n){\"use strict\";var r,i,a=t(\"gl-plot3d\"),o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),d=h.preserveDrawingBuffer(),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),y=t(\"./project\"),v=t(\"./layout/convert\"),_=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function x(t,e){var n=document.createElement(\"div\"),r=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",n.appendChild(i),this.svgContainer=i,n.id=t.id,n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",r.appendChild(n),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=_(e[this.id]),this.container=n,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=x.prototype;w.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:d,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(r=document.createElement(\"canvas\"),i=l({canvas:r,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=r}return e};var k=!0;w.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),n=!0;try{t.glplot=s(e)}catch(r){if(t.staticMode||!k||d)n=!1;else{h.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{d=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(r){d=e.glOptions.preserveDrawingBuffer=!1,n=!1}}}return k=!1,n},w.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:\"orthographic\"===e.projection.type,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,n=e.layout,r=function(){var e={};return t.isCameraChanged(n)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(n)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==n[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=n[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=r();t.saveLayout(n),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(n){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var r=n.deltaX>n.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:r*a.x,y:r*a.y,z:r*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=r();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(n){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:n,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,n=e.graphDiv,r=e.svgContainer,i=e.container.getBoundingClientRect();n._fullLayout._calcInverseTransform(n);var 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g=e._glimages.append(\"g\");g.attr(\"transform\",a(r.l+r.w*d.x[0]+10,r.t+r.h*(1-d.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var y=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=e._glimages.append(\"g\"),_=v.append(\"text\");_.text(y).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":y});var b=u.bBox(_.node()),x=r.w*(d.x[1]-d.x[0]);if(b.width>x/2){var 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D=r.range.apply(this,C);if(D=D.map((function(t,e){return parseFloat(t.toPrecision(12))})),s=r.scale.linear().domain(C.slice(0,2)).range(\"clockwise\"===d.direction?[0,360]:[360,0]),u.layout.angularAxis.domain=s.domain(),u.layout.angularAxis.endPadding=S?L:0,void 0===(t=r.select(this).select(\"svg.chart-root\"))||t.empty()){var I=(new DOMParser).parseFromString(\"<svg xmlns='http://www.w3.org/2000/svg' class='chart-root'>' + '<g class='outer-group'>' + '<g class='chart-group'>' + '<circle class='background-circle'></circle>' + '<g class='geometry-group'></g>' + '<g class='radial axis-group'>' + '<circle class='outside-circle'></circle>' + '</g>' + '<g class='angular axis-group'></g>' + '<g class='guides-group'><line></line><circle r='0'></circle></g>' + '</g>' + '<g class='legend-group'></g>' + '<g class='tooltips-group'></g>' + '<g class='title-group'><text></text></g>' + '</g>' + 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e%(d.minorTicks+1)==0})).classed(\"minor\",(function(t,e){return!(e%(d.minorTicks+1)==0)})).style(j),J.selectAll(\".minor\").style({stroke:d.minorTickColor}),Z.select(\"line.grid-line\").attr({x1:d.tickLength?_-d.tickLength:0,x2:_}).style({display:d.angularAxis.gridLinesVisible?\"block\":\"none\"}),J.append(\"text\").classed(\"axis-text\",!0).style(F);var K=Z.select(\"text.axis-text\").attr({x:_+d.labelOffset,dy:a+\"em\",transform:function(t,e){var n=G(t),r=_+d.labelOffset,i=d.angularAxis.tickOrientation;return\"horizontal\"==i?\"rotate(\"+-n+\" \"+r+\" 0)\":\"radial\"==i?n<270&&n>90?\"rotate(180 \"+r+\" 0)\":null:\"rotate(\"+(n<=180&&n>0?-90:90)+\" \"+r+\" 0)\"}}).style({\"text-anchor\":\"middle\",display:d.angularAxis.labelsVisible?\"block\":\"none\"}).text((function(t,e){return e%(d.minorTicks+1)!=0?\"\":w?w[t]+d.angularAxis.ticksSuffix:t+d.angularAxis.ticksSuffix})).style(F);d.angularAxis.rewriteTicks&&K.text((function(t,e){return e%(d.minorTicks+1)!=0?\"\":d.angularAxis.rewriteTicks(this.textContent,e)}));var $=r.max(z.selectAll(\".angular-tick text\")[0].map((function(t,e){return t.getCTM().e+t.getBBox().width})));R.attr({transform:\"translate(\"+[_+$,d.margin.top]+\")\"});var Q=t.select(\"g.geometry-group\").selectAll(\"g\").size()>0,tt=t.select(\"g.geometry-group\").selectAll(\"g.geometry\").data(f);if(tt.enter().append(\"g\").attr({class:function(t,e){return\"geometry geometry\"+e}}),tt.exit().remove(),f[0]||Q){var et=[];f.forEach((function(t,e){var r={};r.radialScale=n,r.angularScale=s,r.container=tt.filter((function(t,n){return n==e})),r.geometry=t.geometry,r.orientation=d.orientation,r.direction=d.direction,r.index=e,et.push({data:t,geometryConfig:r})}));var nt=r.nest().key((function(t,e){return void 0!==t.data.groupId||\"unstacked\"})).entries(et),rt=[];nt.forEach((function(t,e){\"unstacked\"===t.key?rt=rt.concat(t.values.map((function(t,e){return[t]}))):rt.push(t.values)})),rt.forEach((function(t,e){var n;n=Array.isArray(t)?t[0].geometryConfig.geometry:t.geometryConfig.geometry;var r=t.map((function(t,e){return i(o[n].defaultConfig(),t)}));o[n]().config(r)()}))}var it,at,ot=t.select(\".guides-group\"),st=t.select(\".tooltips-group\"),lt=o.tooltipPanel().config({container:st,fontSize:8})(),ct=o.tooltipPanel().config({container:st,fontSize:8})(),ut=o.tooltipPanel().config({container:st,hasTick:!0})();if(!M){var ht=ot.select(\"line\").attr({x1:0,y1:0,y2:0}).style({stroke:\"grey\",\"pointer-events\":\"none\"});z.on(\"mousemove.angular-guide\",(function(t,e){var n=o.util.getMousePos(q).angle;ht.attr({x2:-_,transform:\"rotate(\"+n+\")\"}).style({opacity:.5}),it=s.invert((n+180+360-d.orientation)%360);var r=o.util.convertToCartesian(_+12,n+180);lt.text(o.util.round(it)).move([r[0]+x[0],r[1]+x[1]])})).on(\"mouseout.angular-guide\",(function(t,e){ot.select(\"line\").style({opacity:0})}))}var dt=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});z.on(\"mousemove.radial-guide\",(function(t,e){var r=o.util.getMousePos(q).radius;dt.attr({r:r}).style({opacity:.5}),at=n.invert(o.util.getMousePos(q).radius);var i=o.util.convertToCartesian(r,d.radialAxis.orientation);ct.text(o.util.round(at)).move([i[0]+x[0],i[1]+x[1]])})).on(\"mouseout.radial-guide\",(function(t,e){dt.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()})),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",(function(e,n){var i=r.select(this),a=this.style.fill,s=\"black\";if(i.attr({\"data-opacity\":this.style.opacity||1}),a&&\"none\"!==a){i.attr({\"data-fill\":a}),s=r.hsl(a).darker().toString(),i.style({fill:s,opacity:1});var l={t:o.util.round(e[0]),r:o.util.round(e[1])};M&&(l.t=w[e[0]]);var c=\"t: \"+l.t+\", r: \"+l.r,u=this.getBoundingClientRect(),h=t.node().getBoundingClientRect(),d=[u.left+u.width/2-Y[0]-h.left,u.top+u.height/2-Y[1]-h.top];ut.config({color:s}).text(c),ut.move(d)}else i.attr({\"data-stroke\":a=this.style.stroke||\"black\"}),s=r.hsl(a).darker().toString(),i.style({stroke:s,opacity:1})})).on(\"mousemove.tooltip\",(function(t,e){if(0!=r.event.which)return!1;r.select(this).attr(\"data-fill\")&&ut.show()})).on(\"mouseout.tooltip\",(function(t,e){ut.hide();var n=r.select(this),i=n.attr(\"data-fill\");n.style(i?{fill:i,opacity:n.attr(\"data-opacity\")}:{stroke:n.attr(\"data-stroke\"),opacity:n.attr(\"data-opacity\")})}))}))}(c),this},config:function(t){if(!arguments.length)return l;var e=o.util.cloneJson(t);return e.data.forEach((function(t,e){l.data[e]||(l.data[e]={}),i(l.data[e],o.Axis.defaultConfig().data[0]),i(l.data[e],t)})),i(l.layout,o.Axis.defaultConfig().layout),i(l.layout,e.layout),this},getLiveConfig:function(){return u},getinputConfig:function(){return c},radialScale:function(t){return n},angularScale:function(t){return s},svg:function(){return t}};return r.rebind(d,h,\"on\"),d},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:r.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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r=e*Math.PI/180;return[e,t(r)]}))},o.util.dataFromEquation=function(t,e,n){var i=e||6,a=[],o=[];r.range(0,360+i,i).forEach((function(e,n){var r=e*Math.PI/180,i=t(r);a.push(e),o.push(i)}));var s={t:a,r:o};return n&&(s.name=n),s},o.util.ensureArray=function(t,e){if(void 0===t)return null;var n=[].concat(t);return r.range(e).map((function(t,e){return n[e]||n[0]}))},o.util.fillArrays=function(t,e,n){return e.forEach((function(e,r){t[e]=o.util.ensureArray(t[e],n)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var n=e.shift();return t[n]&&(!e.length||objHasKeys(t[n],e))},o.util.sumArrays=function(t,e){return r.zip(t,e).map((function(t,e){return r.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var n=Math.max(t.length,e.length,1);n-- >=0&&t[n]===e[n];);return-2===n},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,n){return n.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var n=e*Math.PI/180;return[t*Math.cos(n),t*Math.sin(n)]},o.util.round=function(t,e){var n=Math.pow(10,e||2);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=r.mouse(t.node()),n=e[0],i=e[1],a={};return a.x=n,a.y=i,a.pos=e,a.angle=180*(Math.atan2(i,n)+Math.PI)/Math.PI,a.radius=Math.sqrt(n*n+i*i),a},o.util.duplicatesCount=function(t){for(var e,n={},r={},i=0,a=t.length;i<a;i++)(e=t[i])in n?(n[e]++,r[e]=n[e]):n[e]=1;return r},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,n,r){if(r){var i=n.slice();n=e,e=i}var a=e.reduce((function(t,e){if(void 0!==t)return t[e]}),t);void 0!==a&&(e.reduce((function(t,n,r){if(void 0!==t)return r===e.length-1&&delete t[n],t[n]}),t),n.reduce((function(t,e,r){return void 0===t[e]&&(t[e]={}),r===n.length-1&&(t[e]=a),t[e]}),t))},o.PolyChart=function(){var t=[o.PolyChart.defaultConfig()],e=r.dispatch(\"hover\"),n={solid:\"none\",dash:[5,2],dot:[2,5]};function a(){var e=t[0].geometryConfig,i=e.container;\"string\"==typeof i&&(i=r.select(i)),i.datum(t).each((function(t,i){var a=!!t[0].data.yStack,o=t.map((function(t,e){return a?r.zip(t.data.t[0],t.data.r[0],t.data.yStack[0]):r.zip(t.data.t[0],t.data.r[0])})),s=e.angularScale,l=e.radialScale.domain()[0],c={bar:function(n,i,a){var o=t[a].data,l=e.radialScale(n[1])-e.radialScale(0),c=e.radialScale(n[2]||0),u=o.barWidth;r.select(this).attr({class:\"mark bar\",d:\"M\"+[[l+c,-u/2],[l+c,u/2],[c,u/2],[c,-u/2]].join(\"L\")+\"Z\",transform:function(t,n){return\"rotate(\"+(e.orientation+s(t[0]))+\")\"}})},dot:function(n,i,a){var o=n[2]?[n[0],n[1]+n[2]]:n,s=r.svg.symbol().size(t[a].data.dotSize).type(t[a].data.dotType)(n,i);r.select(this).attr({class:\"mark dot\",d:s,transform:function(t,n){var r;return\"translate(\"+[(r=function(t,n){return{r:e.radialScale(t[1]),t:(e.angularScale(t[0])+e.orientation)*Math.PI/180}}(o)).r*Math.cos(r.t),r.r*Math.sin(r.t)]+\")\"}})}},u=r.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(n,i,a){var s=n[2]?o[a].map((function(t,e){return[t[0],t[1]+t[2]]})):o[a];if(r.select(this).each(c.dot).style({opacity:function(e,n){return+t[a].data.dotVisible},fill:p.stroke(n,i,a)}).attr({class:\"mark dot\"}),!(i>0)){var l=r.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,n){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return p.fill(n,i,a)},\"fill-opacity\":0,stroke:function(t,e){return p.stroke(n,i,a)},\"stroke-width\":function(t,e){return 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r=t(\"d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),h=t(\"../plots\"),d=t(\"../../plots/cartesian/axes\"),f=t(\"../cartesian/set_convert\"),p=t(\"./set_convert\"),m=t(\"../cartesian/autorange\").doAutoRange,g=t(\"../cartesian/dragbox\"),y=t(\"../../components/dragelement\"),v=t(\"../../components/fx\"),_=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,k=t(\"../../lib/setcursor\"),M=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,S=t(\"../../constants/alignment\").MID_SHIFT,A=t(\"./constants\"),L=t(\"./helpers\"),C=o._,E=o.mod,O=o.deg2rad,D=o.rad2deg;function 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r=t(\"d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strTranslate,l=o._,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),h=t(\"../cartesian/set_convert\"),d=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),m=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),y=t(\"../../components/dragelement/helpers\"),v=y.freeMode,_=y.rectMode,b=t(\"../../components/titles\"),x=t(\"../cartesian/select\").prepSelect,w=t(\"../cartesian/select\").selectOnClick,k=t(\"../cartesian/select\").clearSelect,M=t(\"../cartesian/select\").clearSelectionsCache,T=t(\"../cartesian/constants\");function S(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=S;var A=S.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var 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h=c(n,l,u,f),d=h[0],p=h[1],g=\"\";d[0]!==o&&p[0]!==o&&d[1]!==o&&p[1]!==o&&d[2]!==o&&p[2]!==o&&d[3]!==o&&p[3]!==o&&(g+=f?\"M\"+d[0]+\",\"+p[1]+\"L\"+d[2]+\",\"+p[2]+\"H\"+d[3]+\"L\"+d[1]+\",\"+p[1]+\"Z\":\"M\"+d[1]+\",\"+p[1]+\"L\"+d[2]+\",\"+p[3]+\"V\"+p[2]+\"L\"+d[1]+\",\"+p[0]+\"Z\"),\"\"===g&&(g=\"M0,0Z\"),i.ensureSingle(r.select(this),\"path\").attr(\"d\",g).call(a.setClipUrl,e.layerClipId,t)}}))}else d.remove()}))}(t,e,n,u),function(t,e,n,o){var s=e.xaxis,l=e.yaxis;i.makeTraceGroups(o,n,\"trace bars\").each((function(n){var o=r.select(this),u=n[0].trace,h=i.ensureSingle(o,\"g\",\"lines\");if(u.connector&&u.connector.visible&&u.connector.line.width){var d=\"h\"===u.orientation,f=h.selectAll(\"g.line\").data(i.identity);f.enter().append(\"g\").classed(\"line\",!0),f.exit().remove();var p=f.size();f.each((function(n,o){if(o===p-1||n.cNext){var u=c(n,s,l,d),h=u[0],f=u[1],m=\"\";void 0!==h[3]&&void 0!==f[3]&&(d?(m+=\"M\"+h[0]+\",\"+f[1]+\"L\"+h[2]+\",\"+f[2],m+=\"M\"+h[1]+\",\"+f[1]+\"L\"+h[3]+\",\"+f[2]):(m+=\"M\"+h[1]+\",\"+f[1]+\"L\"+h[2]+\",\"+f[3],m+=\"M\"+h[1]+\",\"+f[0]+\"L\"+h[2]+\",\"+f[2])),\"\"===m&&(m=\"M0,0Z\"),i.ensureSingle(r.select(this),\"path\").attr(\"d\",m).call(a.setClipUrl,e.layerClipId,t)}}))}else h.remove()}))}(t,e,n,u),s.plot(t,e,n,u,{mode:h.funnelmode,norm:h.funnelmode,gap:h.funnelgap,groupgap:h.funnelgroupgap})}},{\"../../components/drawing\":665,\"../../constants/numerical\":753,\"../../lib\":778,\"../bar/plot\":932,\"../bar/uniform_text\":937,d3:169}],1055:[function(t,e,n){\"use strict\";var r=t(\"d3\"),i=t(\"../../components/drawing\"),a=t(\"../../components/color\"),o=t(\"../../constants/interactions\").DESELECTDIM,s=t(\"../bar/style\"),l=t(\"../bar/uniform_text\").resizeText,c=s.styleTextPoints;e.exports={style:function(t,e,n){var s=n||r.select(t).selectAll(\"g.funnellayer\").selectAll(\"g.trace\");l(t,s,\"funnel\"),s.style(\"opacity\",(function(t){return t[0].trace.opacity})),s.each((function(e){var n=r.select(this),s=e[0].trace;n.selectAll(\".point > path\").each((function(t){if(!t.isBlank){var e=s.marker;r.select(this).call(a.fill,t.mc||e.color).call(a.stroke,t.mlc||e.line.color).call(i.dashLine,e.line.dash,t.mlw||e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}})),c(n,s,t),n.selectAll(\".regions\").each((function(){r.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(a.fill,s.connector.fillcolor)})),n.selectAll(\".lines\").each((function(){var t=s.connector.line;i.lineGroupStyle(r.select(this).selectAll(\"path\"),t.width,t.color,t.dash)}))}))}}},{\"../../components/color\":643,\"../../components/drawing\":665,\"../../constants/interactions\":752,\"../bar/style\":935,\"../bar/uniform_text\":937,d3:169}],1056:[function(t,e,n){\"use strict\";var r=t(\"../pie/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:r.labels,label0:r.label0,dlabel:r.dlabel,values:r.values,marker:{colors:r.marker.colors,line:{color:l({},r.marker.line.color,{dflt:null}),width:l({},r.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:r.text,hovertext:r.hovertext,scalegroup:l({},r.scalegroup,{}),textinfo:l({},r.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},r.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:r.textfont,insidetextfont:r.insidetextfont,title:{text:r.title.text,font:r.title.font,position:l({},r.title.position,{values:[\"top 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r=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,n,l){function c(n,a){return r.coerce(t,e,i,n,a)}var u=c(\"labels\"),h=c(\"values\"),d=s(u,h),f=d.len;if(e._hasLabels=d.hasLabels,e._hasValues=d.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var p,m=c(\"text\"),g=c(\"texttemplate\");if(g||(p=c(\"textinfo\",Array.isArray(m)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),g||p&&\"none\"!==p){var y=c(\"textposition\");o(t,e,l,c,y,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c(\"title.text\")&&(c(\"title.position\"),r.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else e.visible=!1}},{\"../../lib\":778,\"../../plots/domain\":855,\"../bar/defaults\":925,\"../pie/defaults\":1164,\"./attributes\":1056}],1060:[function(t,e,n){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":1172,\"./attributes\":1056,\"./base_plot\":1057,\"./calc\":1058,\"./defaults\":1059,\"./layout_attributes\":1061,\"./layout_defaults\":1062,\"./plot\":1063,\"./style\":1064}],1061:[function(t,e,n){\"use strict\";var r=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:r,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1168}],1062:[function(t,e,n){\"use strict\";var r=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function n(n,a){return r.coerce(t,e,i,n,a)}n(\"hiddenlabels\"),n(\"funnelareacolorway\",e.colorway),n(\"extendfunnelareacolors\")}},{\"../../lib\":778,\"./layout_attributes\":1061}],1063:[function(t,e,n){\"use strict\";var r=t(\"d3\"),i=t(\"../../components/drawing\"),a=t(\"../../lib\"),o=a.strScale,s=a.strTranslate,l=t(\"../../lib/svg_text_utils\"),c=t(\"../bar/plot\").toMoveInsideBar,u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,d=u.clearMinTextSize,f=t(\"../pie/helpers\"),p=t(\"../pie/plot\"),m=p.attachFxHandlers,g=p.determineInsideTextFont,y=p.layoutAreas,v=p.prerenderTitles,_=p.positionTitleOutside,b=p.formatSliceLabel;function x(t,e){return\"l\"+(e[0]-t[0])+\",\"+(e[1]-t[1])}e.exports=function(t,e){var n=t._fullLayout;d(\"funnelarea\",n),v(e,t),y(e,n._size),a.makeTraceGroups(n._funnelarealayer,e,\"trace\").each((function(e){var u=r.select(this),d=e[0],p=d.trace;(function(t){if(t.length){var e=t[0],n=e.trace,r=n.aspectratio,i=n.baseratio;i>.999&&(i=.999);var a,o,s,l=Math.pow(i,2),c=e.vTotal,u=c,h=c*l/(1-l)/c,d=[];for(d.push(S()),o=t.length-1;o>-1;o--)(s=t[o]).hidden||(h+=s.v/u,d.push(S()));var f=1/0,p=-1/0;for(o=0;o<d.length;o++)a=d[o],f=Math.min(f,a[1]),p=Math.max(p,a[1]);for(o=0;o<d.length;o++)d[o][1]-=(p+f)/2;var m=e.r,g=(p-f)/2,y=m/d[d.length-1][0],v=m/g*r;for(e.r=v*g,o=0;o<d.length;o++)d[o][0]*=y,d[o][1]*=v;var _=[-(a=d[0])[0],a[1]],b=[a[0],a[1]],x=0;for(o=t.length-1;o>-1;o--)if(!(s=t[o]).hidden){var w=d[x+=1][0],k=d[x][1];s.TL=[-w,k],s.TR=[w,k],s.BL=_,s.BR=b,s.pxmid=[.5*((M=s.TR)[0]+(T=s.BR)[0]),.5*(M[1]+T[1])],_=s.TL,b=s.TR}}var M,T;function S(){var t,e={x:t=Math.sqrt(h),y:-t};return[e.x,e.y]}})(e),u.each((function(){var u=r.select(this).selectAll(\"g.slice\").data(e);u.enter().append(\"g\").classed(\"slice\",!0),u.exit().remove(),u.each((function(o,s){if(o.hidden)r.select(this).selectAll(\"path,g\").remove();else{o.pointNumber=o.i,o.curveNumber=p.index;var u=d.cx,y=d.cy,v=r.select(this),_=v.selectAll(\"path.surface\").data([o]);_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),v.call(m,t,e);var w=\"M\"+(u+o.TR[0])+\",\"+(y+o.TR[1])+x(o.TR,o.BR)+x(o.BR,o.BL)+x(o.BL,o.TL)+\"Z\";_.attr(\"d\",w),b(t,o,d);var k=f.castOption(p.textposition,o.pts),M=v.selectAll(\"g.slicetext\").data(o.text&&\"none\"!==k?[0]:[]);M.enter().append(\"g\").classed(\"slicetext\",!0),M.exit().remove(),M.each((function(){var d=a.ensureSingle(r.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),f=a.ensureUniformFontSize(t,g(p,o,n.font));d.text(o.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(i.font,f).call(l.convertToTspans,t);var m,v,_,b=i.bBox(d.node()),x=Math.min(o.BL[1],o.BR[1])+y,w=Math.max(o.TL[1],o.TR[1])+y;v=Math.max(o.TL[0],o.BL[0])+u,_=Math.min(o.TR[0],o.BR[0])+u,(m=c(v,_,x,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=f.size,h(p.type,m,n),e[s].transform=m,d.attr(\"transform\",a.getTextTransform(m))}))}}));var 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r=t(\"../../lib/extend\").extendFlat,i=t(\"../../lib/extend\").extendDeep,a=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),d=(t(\"../../constants/docs\"),o({editType:\"plot\",colorEditType:\"plot\"})),f={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},p={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},m=u(\"step\",i({},f,{range:p}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:r({},d,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:r({},d,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:r({},d,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:i({},f,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:a({range:p,visible:r({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:r({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,minexponent:c.minexponent,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:m,threshold:{line:{color:r({},f.line.color,{}),width:r({},f.line.width,{dflt:1}),editType:\"plot\"},thickness:r({},f.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":642,\"../../constants/delta.js\":747,\"../../constants/docs\":748,\"../../lib/extend\":768,\"../../plot_api/edit_types\":810,\"../../plot_api/plot_template\":817,\"../../plots/cartesian/layout_attributes\":842,\"../../plots/domain\":855,\"../../plots/font_attributes\":856}],1117:[function(t,e,n){\"use 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r=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),h=t(\"../../plots/cartesian/tick_label_defaults\");function d(t,e){function n(n,a){return r.coerce(t,e,i.gauge.steps,n,a)}n(\"color\"),n(\"line.color\"),n(\"line.width\"),n(\"range\"),n(\"thickness\")}e.exports={supplyDefaults:function(t,e,n,f){function p(n,a){return r.coerce(t,e,i,n,a)}a(e,f,p),p(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var m=p(\"value\");e._range=[0,\"number\"==typeof m?1.5*m:1];var g,y,v,_,b,x,w=new Array(2);function k(t,e){return r.coerce(v,_,i.gauge,t,e)}function M(t,e){return 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N,B,Y,H=F.select(\"path\");b(T)?(H.transition().duration(T.duration).ease(T.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(N=j,B=L(n[0].lastY),Y=L(n[0].y),function(){var t=r.interpolate(B,Y);return function(e){return N.endAngle(t(e))()}})),f._lastValue=n[0].y):H.attr(\"d\",\"number\"==typeof n[0].y?j.endAngle(L(n[0].y)):\"M0,0Z\"),H.call(x),F.exit().remove(),R=[];var V=f.gauge.threshold.value;V&&R.push({range:[V,V],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var U=k.selectAll(\"g.threshold-arc\").data(R);U.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),U.select(\"path\").call(E).call(x),U.exit().remove();var 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y={positions:d,cells:r,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var v=c(t);this.color=\"#fff\";var _=t.intensitymode;y[_+\"Intensity\"]=t.intensity,y[_+\"IntensityBounds\"]=[v.min,v.max],y.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],y.vertexColors=f(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],y.cellColors=f(t.facecolor)):(this.color=t.color,y.meshColor=l(t.color));this.mesh.update(y)},d.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var n=r({gl:t.glplot.gl}),i=new 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m={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};r.coerceFont(d,\"labelfont\",m);var g={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};r.coerceFont(d,\"tickfont\",g)}},{\"../../components/colorscale/defaults\":653,\"../../components/colorscale/helpers\":654,\"../../lib\":778,\"../../plots/array_container_defaults\":823,\"../../plots/domain\":855,\"../parcoords/merge_length\":1158,\"./attributes\":1142}],1146:[function(t,e,n){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1142,\"./base_plot\":1143,\"./calc\":1144,\"./defaults\":1145,\"./plot\":1148}],1147:[function(t,e,n){\"use strict\";var r=t(\"d3\"),i=t(\"../../plot_api/plot_api\"),a=t(\"../../components/fx\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../components/drawing\"),c=t(\"tinycolor2\"),u=t(\"../../lib/svg_text_utils\");function h(t,e,n,i){var a=t.map(z.bind(0,e,n)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var h=c.selectAll(\"g.trace.parcats\").data(a,d),y=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return s(t.x,t.y)})),y.append(\"g\").attr(\"class\",\"paths\");var v=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),d);v.attr(\"fill\",(function(t){return t.model.color}));var x=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);b(x),v.attr(\"d\",(function(t){return t.svgD})),x.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",m).on(\"mouseout\",g).on(\"click\",_),y.append(\"g\").attr(\"class\",\"dimensions\");var M=h.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),d);M.enter().append(\"g\").attr(\"class\",\"dimension\"),M.attr(\"transform\",(function(t){return s(t.x,0)})),M.exit().remove();var T=M.selectAll(\"g.category\").data((function(t){return t.categories}),d),S=T.enter().append(\"g\").attr(\"class\",\"category\");T.attr(\"transform\",(function(t){return s(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),T.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),w(S);var A=T.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),d);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);A.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(I),A.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var P=e._fullLayout.paper_bgcolor;T.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",P+\" -1px  1px 2px, \"+P+\" 1px  1px 2px, \"+P+\"  1px -1px 2px, \"+P+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){l.font(r.select(this),t.parcatsViewModel.categorylabelfont),u.convertToTspans(r.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),T.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){l.font(r.select(this),t.parcatsViewModel.labelfont)})),T.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),T.exit().remove(),M.call(r.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",E).on(\"drag\",O).on(\"dragend\",D)),h.each((function(t){t.traceSelection=r.select(this),t.pathSelection=r.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=r.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function d(t){return t.key}function f(t){return t.model.dimensionInd===t.parcatsViewModel.dimensions[t.parcatsViewModel.dimensions.length-1].model.dimensionInd}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function m(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),x(r.select(this));var e=y(t),n=v(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:r.event,constraints:n}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,s,l,u=r.mouse(this)[0],h=t.parcatsViewModel.graphDiv,d=t.parcatsViewModel.trace,f=h._fullLayout,p=f._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l];i=(g.x+g.width+t.parcatsViewModel.dimensions[l+1].x)/2,s=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var _=t.parcatsViewModel.x+i,b=t.parcatsViewModel.y+s,w=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,T={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",T.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",T.probabilityLabel].join(\" \"));var A=S.join(\"<br>\"),L=r.mouse(h)[0];a.loneHover({trace:d,x:_-p.left+m.left,y:b-p.top+m.top,text:A,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:w,idealAlign:L<_?\"right\":\"left\",hovertemplate:(d.line||{}).hovertemplate,hovertemplateLabels:T,eventData:[{data:d._input,fullData:d,count:k,probability:M}]},{container:f._hoverlayer.node(),outerContainer:f._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(b(r.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),n=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:r.event,constraints:n})}}function y(t){for(var e=[],n=I(t.parcatsViewModel),r=0;r<t.model.valueInds.length;r++)e.push({curveNumber:n,pointNumber:t.model.valueInds[r]});return e}function v(t){for(var e={},n=t.parcatsViewModel.model.dimensions,r=0;r<n.length;r++){var i=n[r];e[i.containerInd]=i.categories[t.model.categoryInds[r]].categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function _(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),n=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:r.event,constraints:n})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function x(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function w(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function M(t){var e=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return t.parcatsViewModel.pathSelection.filter((function(r){return r.model.categoryInds[e]===n&&r.model.color===t.color}))}function T(t,e,n){var i=r.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=r.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){M(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:n,constraints:c})}function S(t,e,n){var i=r.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=M(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:n,constraints:c})}function A(t,e,n){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.select(n.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),h=u.parcatsViewModel,d=h.trace,f=c.top+c.height/2;h.dimensions.length>1&&h.model.dimensions[u.model.dimensionInd].displayInd===h.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var p=u.model.count,m=u.model.categoryLabel,g=p/u.parcatsViewModel.model.count,y={countLabel:p,categoryLabel:m,probabilityLabel:g.toFixed(3)},v=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&v.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&v.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var _=v.join(\"<br>\");return{trace:d,x:o*(i-e.left),y:s*(f-e.top),text:_,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:y,eventData:[{data:d._input,fullData:d,count:p,category:m,probability:g}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(r.mouse(this)[1]<-1)return;var e,n=t.parcatsViewModel.graphDiv,i=n._fullLayout,s=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=r.select(t).datum(),n=M(e);x(n),n.each((function(){o.raiseToTop(this)})),r.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),r.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",r.event)):(function(t){r.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=M(t);x(e),e.each((function(){o.raiseToTop(this)}))})),r.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),T(u,\"plotly_hover\",r.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=A(n,s,u):\"color\"===l?e=function(t,e,n){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.getBoundingClientRect(),u=r.select(n).datum(),h=u.categoryViewModel,d=h.parcatsViewModel,f=d.trace,p=l.y+l.height/2;d.dimensions.length>1&&d.model.dimensions[h.model.dimensionInd].displayInd===d.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=h.model.categoryLabel,g=u.parcatsViewModel.model.count,y=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(y+=t.count)}));var v=h.model.count,_=0;d.pathSelection.each((function(t){t.model.color===u.color&&(_+=t.model.count)}));var b=y/g,x=y/_,w=y/v,k={countLabel:g,categoryLabel:m,probabilityLabel:b.toFixed(3)},M=[];-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&M.push([\"Count:\",k.countLabel].join(\" \")),-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(M.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),M.push(\"P(\"+m+\" | color): \"+x.toFixed(3)),M.push(\"P(color | \"+m+\"): \"+w.toFixed(3)));var T=M.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:f,x:o*(i-e.left),y:s*(p-e.top),text:T,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:f.hovertemplate,hovertemplateLabels:k,eventData:[{data:f._input,fullData:f,category:m,count:g,probability:b,categorycount:v,colorcount:_,bandcolorcount:y}]}}(n,s,u):\"dimension\"===l&&(e=function(t,e,n){var i=[];return r.select(n.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(A(t,e,this))})),i}(n,s,u)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:n}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(b(e.pathSelection),w(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",r.event):T(this,\"plotly_unhover\",r.event))}function E(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,r.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var n=r.mouse(this)[0],i=r.mouse(this)[1];-2<=n&&n<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),r.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,n=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=r.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=r.event.x;var d=t.parcatsViewModel.dimensions[n],f=t.parcatsViewModel.dimensions[i];void 0!==d&&a.model.dragX<d.x+d.width&&(a.model.displayInd=d.model.displayInd,d.model.displayInd=e),void 0!==f&&a.model.dragX+a.width>f.x&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}N(t.parcatsViewModel),F(t.parcatsViewModel),R(t.parcatsViewModel),P(t.parcatsViewModel)}}function D(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){r.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},n=I(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.forEach((function(n,r){e[\"dimensions[\"+t.parcatsViewModel.model.dimensions[r].containerInd+\"].displayindex\"]=n}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",r.event.sourceEvent):T(t.potentialClickBand,\"plotly_click\",r.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,N(t.parcatsViewModel),F(t.parcatsViewModel),r.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),P(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[n])}))}}function I(t){for(var e,n=t.graphDiv._fullData,r=0;r<n.length;r++)if(t.key===n[r].uid){e=r;break}return e}function P(t,e){var n;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),d),(n=t.pathSelection,e?n.transition():n).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function n(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),d);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),d);n(t.dimensionSelection).attr(\"transform\",(function(t){return s(t.x,0)})),n(i).attr(\"transform\",(function(t){return s(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var 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r=t(\"./parcats\");e.exports=function(t,e,n,i){var a=t._fullLayout,o=a._size;r(t,a._paper,e,{width:o.w,height:o.h,margin:{t:o.t,r:o.r,b:o.b,l:o.l}},n,i)}},{\"./parcats\":1147}],1149:[function(t,e,n){\"use strict\";var r=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},r(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/plot_template\":817,\"../../plots/cartesian/layout_attributes\":842,\"../../plots/domain\":855,\"../../plots/font_attributes\":856}],1150:[function(t,e,n){\"use 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n=e.brush,r=n.filter,a=n.svgBrush;a._dragging||(k(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?n.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],n.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&S(n)):S(n),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(n.filterSpecified?r.getConsolidated():[]);var s=function(){r.set(r.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[f(0,l,a.newExtent[0],a.stayingIntervals),f(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||S(n),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else 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t.slice()}))}(e).slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+r.cn.axisBrush).data(o,a);e.enter().append(\"g\").classed(r.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(m).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,r.verticalPadding)),e.call(M).attr(\"height\",(function(t){return t.height-r.verticalPadding}));var n=t.selectAll(\".highlight-shadow\").data(o);n.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-r.bar.width/2).attr(\"stroke-width\",r.bar.width+r.bar.strokeWidth).attr(\"stroke\",r.bar.strokeColor).attr(\"opacity\",r.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),n.attr(\"y1\",(function(t){return t.height})).call(_);var i=t.selectAll(\".highlight\").data(o);i.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-r.bar.width/2).attr(\"stroke-width\",r.bar.width-r.bar.strokeWidth).attr(\"stroke\",r.bar.fillColor).attr(\"opacity\",r.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(_)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var n=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,n,t[0],[]),f(1,n,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":778,\"../../lib/gup\":775,\"./constants\":1153,d3:169}],1151:[function(t,e,n){\"use strict\";var r=t(\"d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");n.name=\"parcoords\",n.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},n.clean=function(t,e,n,r){var i=r._has&&r._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(r._paperdiv.selectAll(\".parcoords\").remove(),r._glimages.selectAll(\"*\").remove())},n.toSVG=function(t){var e=t._fullLayout._glimages,n=r.select(t).selectAll(\".svg-container\");n.filter((function(t,e){return e===n.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,n=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":n,preserveAspectRatio:\"none\",x:0,y:0,width:t.width,height:t.height})})),window.setTimeout((function(){r.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":754,\"../../plots/get_data\":865,\"./plot\":1160,d3:169}],1152:[function(t,e,n){\"use strict\";var r=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var n,o;return i.hasColorscale(e,\"line\")&&r(e.line.color)?(n=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=function(t){for(var e=new Array(t),n=0;n<t;n++)e[n]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:n,cscale:o})}},{\"../../components/colorscale\":655,\"../../lib\":778,\"../../lib/gup\":775}],1153:[function(t,e,n){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1154:[function(t,e,n){\"use strict\";var r=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,d=t(\"./merge_length\");function f(t,e,n,i){function a(n,i){return r.coerce(t,e,c.dimensions,n,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var h=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,i.layout),a(\"multiselect\");var d=a(\"constraintrange\");d&&(e.constraintrange=u.cleanRanges(d,e))}}e.exports=function(t,e,n,l){function u(n,i){return r.coerce(t,e,c,n,i)}var p=t.dimensions;Array.isArray(p)&&p.length>h&&(r.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),p.splice(h));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:f}),g=function(t,e,n,o,s){var l=s(\"line.color\",n);if(i(t,\"line\")&&r.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=n}return 1/0}(t,e,n,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),d(e,m,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};r.coerceFont(u,\"labelfont\",y),r.coerceFont(u,\"tickfont\",y),r.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":653,\"../../components/colorscale/helpers\":654,\"../../lib\":778,\"../../plots/array_container_defaults\":823,\"../../plots/cartesian/axes\":828,\"../../plots/domain\":855,\"./attributes\":1149,\"./axisbrush\":1150,\"./constants\":1153,\"./merge_length\":1158}],1155:[function(t,e,n){\"use strict\";var r=t(\"../../lib\").isTypedArray;n.convertTypedArray=function(t){return r(t)?Array.prototype.slice.call(t):t},n.isOrdinal=function(t){return!!t.tickvals},n.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":778}],1156:[function(t,e,n){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1149,\"./base_plot\":1151,\"./calc\":1152,\"./defaults\":1154,\"./plot\":1160}],1157:[function(t,e,n){\"use strict\";var r=t(\"glslify\"),i=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=r([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,n,r,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,n,r,i),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,n,r,i,a){var o=a.key;n.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),n.drawCompleted=!0),function s(l){var c=Math.min(r,i-l*r);0===l&&(window.cancelAnimationFrame(n.currentRafs[o]),delete n.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),n.clearOnly||(a.count=2*c,a.offset=2*l*r,e(a),l*r+c<i&&(n.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),n.drawCompleted=!1)}(0)}function f(t,e){for(var n=new Array(256),r=0;r<256;r++)n[r]=t(r/255).concat(e);return n}function p(t,e){return(t>>>8*e)%256/255}function m(t,e,n){for(var r=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=n[64*a+l];63===l&&0===o&&(c*=-1),r[i++]=c}return r}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<o?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function v(t,e,n,r,i,a,o,l,c,u,h,d,f){for(var p=[[],[]],m=0;m<64;m++)p[0][m]=m===i?1:0,p[1][m]=m===a?1:0;var g=t.lines.canvasOverdrag,y=t.domain,v=t.canvasWidth,_=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[v,_],viewBoxPos:[o+g,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:p[0].slice(0,16),dim0B:p[0].slice(16,32),dim0C:p[0].slice(32,48),dim0D:p[0].slice(48,64),dim1A:p[1].slice(0,16),dim1B:p[1].slice(16,32),dim1C:p[1].slice(32,48),dim1D:p[1].slice(48,64),drwLayer:d,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(r===e?0:o+g)+(t.pad.l-g)+t.layoutWidth*y.x[0],scissorWidth:(r===n?v-o+g:c+.5)+(r===e?o+g:0),scissorY:l+t.pad.b+t.layoutHeight*y.y[0],scissorHeight:u,viewportX:t.pad.l-g+t.layoutWidth*y.x[0],viewportY:t.pad.b+t.layoutHeight*y.y[0],viewportWidth:v,viewportHeight:_},f)}function _(t){var e=2047,n=Math.max(0,Math.floor(t[0]*e),0),r=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(n,r),Math.max(n,r)]}e.exports=function(t,e){var n,r,l,g,b=e.context,x=e.pick,w=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},n=0;n<=o;n+=4)e[y(n)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(w),T=w.texture(u),S=[];L(e);var A=w({profile:!1,blend:{enable:b,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!b,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:w.prop(\"scissorX\"),y:w.prop(\"scissorY\"),width:w.prop(\"scissorWidth\"),height:w.prop(\"scissorHeight\")}},viewport:{x:w.prop(\"viewportX\"),y:w.prop(\"viewportY\"),width:w.prop(\"viewportWidth\"),height:w.prop(\"viewportHeight\")},dither:!1,vert:i,frag:a,primitive:\"lines\",lineWidth:1,attributes:M,uniforms:{resolution:w.prop(\"resolution\"),viewBoxPos:w.prop(\"viewBoxPos\"),viewBoxSize:w.prop(\"viewBoxSize\"),dim0A:w.prop(\"dim0A\"),dim1A:w.prop(\"dim1A\"),dim0B:w.prop(\"dim0B\"),dim1B:w.prop(\"dim1B\"),dim0C:w.prop(\"dim0C\"),dim1C:w.prop(\"dim1C\"),dim0D:w.prop(\"dim0D\"),dim1D:w.prop(\"dim1D\"),loA:w.prop(\"loA\"),hiA:w.prop(\"hiA\"),loB:w.prop(\"loB\"),hiB:w.prop(\"hiB\"),loC:w.prop(\"loC\"),hiC:w.prop(\"hiC\"),loD:w.prop(\"loD\"),hiD:w.prop(\"hiD\"),palette:T,contextColor:w.prop(\"contextColor\"),mask:w.prop(\"maskTexture\"),drwLayer:w.prop(\"drwLayer\"),maskHeight:w.prop(\"maskHeight\")},offset:w.prop(\"offset\"),count:w.prop(\"count\")});function L(t){n=t.model,r=t.viewModel.dimensions.slice(),l=r[0]?r[0].values.length:0;var e=n.lines,i=x?e.color.map((function(t,n){return n/e.color.length})):e.color,a=function(t,e,n){for(var r=new Array(t*(o+4)),i=0,a=0;a<t;a++){for(var s=0;s<o;s++)r[i++]=s<e.length?e[s].paddedUnitValues[a]:.5;r[i++]=p(a,2),r[i++]=p(a,1),r[i++]=p(a,0),r[i++]=Math.max(1e-6,Math.min(.999999,n[a]))}return r}(l,r,i);(function(t,e,n){for(var r=0;r<=o;r+=4)t[y(r)](m(r/4,e,n))})(M,l,a),b||x||(T=w.texture(s.extendFlat({data:f(n.unitToColor,255)},u)))}return{render:function(t,e,i){var a,o,s,c=t.length,u=1/0,f=-1/0;for(a=0;a<c;a++)t[a].dim0.canvasX<u&&(u=t[a].dim0.canvasX,o=a),t[a].dim1.canvasX>f&&(f=t[a].dim1.canvasX,s=a);0===c&&h(w,0,0,n.canvasWidth,n.canvasHeight);var p=function(t){var e,n,i,a=[[],[]];for(i=0;i<64;i++){var o=!t&&i<r.length?r[i].brush.filter.getBounds():[-1/0,1/0];a[0][i]=o[0],a[1][i]=o[1]}var s=new Array(16384);for(e=0;e<16384;e++)s[e]=255;if(!t)for(e=0;e<r.length;e++){var l=e%8,c=(e-l)/8,u=Math.pow(2,l),h=r[e].brush.filter.get();if(!(h.length<2)){var d=_(h[0])[1];for(n=1;n<h.length;n++){var f=_(h[n]);for(i=d+1;i<f[0];i++)s[8*i+c]&=~u;d=Math.max(d,f[1])}}}var p={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:s};return g?g(p):g=w.texture(p),{maskTexture:g,maskHeight:2048,loA:a[0].slice(0,16),loB:a[0].slice(16,32),loC:a[0].slice(32,48),loD:a[0].slice(48,64),hiA:a[1].slice(0,16),hiB:a[1].slice(16,32),hiC:a[1].slice(32,48),hiD:a[1].slice(48,64)}}(b);for(a=0;a<c;a++){var m=t[a],y=m.dim0.crossfilterDimensionIndex,M=m.dim1.crossfilterDimensionIndex,T=m.canvasX,L=m.canvasY,C=T+m.panelSizeX;if(e||!S[y]||S[y][0]!==T||S[y][1]!==C){S[y]=[T,C];var E=v(n,o,s,a,y,M,T,L,m.panelSizeX,m.panelSizeY,m.dim0.crossfilterDimensionIndex,b?0:x?2:1,p);k.clearOnly=i,d(w,A,k,e?n.lines.blockLineCount:l,l,E)}}},readPixel:function(t,e){return w.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,n,r){var i=new Uint8Array(4*n*r);return w.read({x:t,y:e,width:n,height:r,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",T.destroy(),g&&g.destroy(),M)M[e].destroy()},update:L}}},{\"../../lib\":778,\"./constants\":1153,glslify:439}],1158:[function(t,e,n){\"use strict\";e.exports=function(t,e,n,r){var i,a;for(r||(r=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(r=Math.min(r,a[n].length));for(r===1/0&&(r=0),t._length=r,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=r);return r}},{}],1159:[function(t,e,n){\"use strict\";var r=t(\"d3\"),i=t(\"color-rgba\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../lib/svg_text_utils\"),u=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),d=t(\"../../lib/gup\"),f=d.keyFun,p=d.repeat,m=d.unwrap,g=t(\"./helpers\"),y=t(\"./constants\"),v=t(\"./axisbrush\"),_=t(\"./lines\");function b(t,e,n){return o.aggNums(t,null,e,n)}function x(t,e){return k(b(Math.min,t,e),b(Math.max,t,e))}function w(t){var e=t.range;return e?k(e[0],e[1]):x(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function M(t,e,n,i,a){var o,s,l=w(n);return i?r.scale.ordinal().domain(i.map((o=r.format(n.tickformat),s=a,s?function(t,e){var n=s[e];return null==n?o(t):n}:o))).range(i.map((function(n){return t-e+(n-l[0])/(l[1]-l[0])*(2*e-t)}))):r.scale.linear().domain(l).range([t-e,e])}function T(t){if(t.tickvals){var e=w(t);return r.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),n=t.map((function(t){var e=i(t[1]);return r.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),a=\"rgb\".split(\"\").map((function(t){return r.scale.linear().clamp(!0).domain(e).range(n.map((i=t,function(t){return t[i]})));var i}));return function(t){return a.map((function(e){return e(t)}))}}function A(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,n){var a=m(e),s=a.trace,l=g.convertTypedArray(a.lineColor),c=s.line,u={color:i(y.deselectedLineColor)},d=h.extractOpts(c),f=d.reversescale?h.flipScale(a.cscale):a.cscale,p=s.domain,v=s.dimensions,_=t.width,b=s.labelangle,x=s.labelside,k=s.labelfont,M=s.tickfont,T=s.rangefont,A=o.extendDeepNoArrays({},c,{color:l.map(r.scale.linear().domain(w({values:l,range:[d.min,d.max],_length:s._length}))),blockLineCount:y.blockLineCount,canvasOverdrag:y.overdrag*y.canvasPixelRatio}),L=Math.floor(_*(p.x[1]-p.x[0])),C=Math.floor(t.height*(p.y[1]-p.y[0])),E=t.margin||{l:80,r:80,t:100,b:80},O=L,D=C;return{key:n,colCount:v.filter(g.isVisible).length,dimensions:v,tickDistance:y.tickDistance,unitToColor:S(f),lines:A,deselectedLines:u,labelAngle:b,labelSide:x,labelFont:k,tickFont:M,rangeFont:T,layoutWidth:_,layoutHeight:t.height,domain:p,translateX:p.x[0]*_,translateY:t.height-p.y[1]*t.height,pad:E,canvasWidth:O*y.canvasPixelRatio+2*A.canvasOverdrag,canvasHeight:D*y.canvasPixelRatio,width:O,height:D,canvasPixelRatio:y.canvasPixelRatio}}function 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n=t._fullLayout;if(i(t)){var s={},l={},c={},u={},h=n._size;e.forEach((function(e,n){var r=e[0].trace;c[n]=r.index;var i=u[n]=r._fullInput.index;s[n]=t.data[i].dimensions,l[n]=t.data[i].dimensions.slice()})),r(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,r,i){var a=l[e][r],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+r+\"].constraintrange\",h=n._tracePreGUI[t._fullData[c[e]]._fullInput.uid];void 0===h[s]&&(h[s]=a.constraintrange||null);var d=t._fullData[c[e]].dimensions[r];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,d.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete d.constraintrange,o=null);var f={};f[s]=o,t.emit(\"plotly_restyle\",[f,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,n){var r=function(t,e){return function(n,r){return o(t,e,n)-o(t,e,r)}}(n,l[e].filter(a));s[e].sort(r),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":791,\"./helpers\":1155,\"./parcoords\":1159}],1161:[function(t,e,n){\"use strict\";var r=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},r.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":642,\"../../lib/extend\":768,\"../../plots/attributes\":824,\"../../plots/domain\":855,\"../../plots/font_attributes\":856,\"../../plots/template_attributes\":906}],1162:[function(t,e,n){\"use strict\";var r=t(\"../../plots/plots\");n.name=\"pie\",n.plot=function(t,e,i,a){r.plotBasePlot(n.name,t,e,i,a)},n.clean=function(t,e,i,a){r.cleanBasePlot(n.name,t,e,i,a)}},{\"../../plots/plots\":891}],1163:[function(t,e,n){\"use strict\";var r=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,n){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[n]||(t[n]=e),e)}}function l(t,e){var n,r=JSON.stringify(t),a=e[r];if(!a){for(a=t.slice(),n=0;n<t.length;n++)a.push(i(t[n]).lighten(20).toHexString());for(n=0;n<t.length;n++)a.push(i(t[n]).darken(20).toHexString());e[r]=a}return a}e.exports={calc:function(t,e){var n,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,d=e._length,f=e._hasValues&&d;if(e.dlabel)for(c=new Array(d),n=0;n<d;n++)c[n]=String(e.label0+n*e.dlabel);var p={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(n=0;n<d;n++){var v,_,b;if(f){if(!r(v=h[n]))continue;if((v=+v)<0)continue}else v=1;void 0!==(_=c[n])&&\"\"!==_||(_=n);var x=p[_=String(_)];void 0===x?(p[_]=a.length,(b=-1!==l.indexOf(_))||(g+=v),a.push({v:v,label:_,color:m(u[n],_),i:n,pts:[n],hidden:b})):(y=!0,(i=a[x]).v+=v,i.pts.push(n),i.hidden||(g+=v),!1===i.color&&u[n]&&(i.color=m(u[n],_)))}return(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var n=(e||{}).type;n||(n=\"pie\");var r=t._fullLayout,i=t.calcdata,a=r[n+\"colorway\"],s=r[\"_\"+n+\"colormap\"];r[\"extend\"+n+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var h=i[u];if(h[0].trace.type===n)for(var d=0;d<h.length;d++){var f=h[d];!1===f.color&&(s[f.label]?f.color=s[f.label]:(s[f.label]=f.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":643,\"fast-isnumeric\":241,tinycolor2:576}],1164:[function(t,e,n){\"use strict\";var r=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var n=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(n?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(r(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:n,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,n,r){function c(n,r){return i.coerce(t,e,a,n,r)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var d,f=c(\"text\"),p=c(\"texttemplate\");if(p||(d=c(\"textinfo\",Array.isArray(f)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),p||d&&\"none\"!==d){var m=c(\"textposition\");s(t,e,r,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,r,c);var g=c(\"hole\");if(c(\"title.text\")){var y=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==y||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",r.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":778,\"../../plots/domain\":855,\"../bar/defaults\":925,\"./attributes\":1161,\"fast-isnumeric\":241}],1165:[function(t,e,n){\"use strict\";var r=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var n={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(n.pointNumber=n.i=t.pts[0]),r(n,e,t.pts),\"funnelarea\"===e.type&&(delete n.v,delete n.i),n}},{\"../../components/fx/helpers\":679}],1166:[function(t,e,n){\"use strict\";var r=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}n.formatPiePercent=function(t,e){var n=i((100*t).toPrecision(3));return r.numSeparate(n,e)+\"%\"},n.formatPieValue=function(t,e){var n=i(t.toPrecision(10));return r.numSeparate(n,e)},n.getFirstFilled=function(t,e){if(Array.isArray(t))for(var n=0;n<e.length;n++){var r=t[e[n]];if(r||0===r||\"\"===r)return r}},n.castOption=function(t,e){return Array.isArray(t)?n.getFirstFilled(t,e):t||void 0},n.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":778}],1167:[function(t,e,n){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1161,\"./base_plot\":1162,\"./calc\":1163,\"./defaults\":1164,\"./layout_attributes\":1168,\"./layout_defaults\":1169,\"./plot\":1170,\"./style\":1171,\"./style_one\":1172}],1168:[function(t,e,n){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1169:[function(t,e,n){\"use strict\";var r=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function n(n,a){return r.coerce(t,e,i,n,a)}n(\"hiddenlabels\"),n(\"piecolorway\",e.colorway),n(\"extendpiecolors\")}},{\"../../lib\":778,\"./layout_attributes\":1168}],1170:[function(t,e,n){\"use strict\";var r=t(\"d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,h=t(\"../../lib/svg_text_utils\"),d=t(\"../bar/uniform_text\"),f=d.recordMinTextSize,p=d.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),y=t(\"./event_data\"),v=t(\"../../lib\").isValidTextValue;function _(t,e,n){var i=n[0],o=i.trace,s=i.cx,c=i.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var n=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==n.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:o._module},n,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var d=t.rInscribed||0,f=s+t.pxmid[0]*(1-d),p=c+t.pxmid[1]*(1-d),m=n.separators,v=[];if(h&&-1!==h.indexOf(\"label\")&&v.push(t.label),t.text=g.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var _=t.text;l.isValidTextValue(_)&&v.push(_)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&v.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&v.push(t.percentLabel);var b=u.hoverlabel,x=b.font;a.loneHover({trace:o,x0:f-d*i.r,x1:f+d*i.r,y:p,text:v.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(x.family,t.pts),fontSize:g.castOption(x.size,t.pts),fontColor:g.castOption(x.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,u)]},{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,u)],event:r.event})}})),t.on(\"mouseout\",(function(t){var n=e._fullLayout,i=e._fullData[o.index],s=r.select(this).datum();o._hasHoverEvent&&(t.originalEvent=r.event,e.emit(\"plotly_unhover\",{points:[y(s,i)],event:r.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(n._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){e._dragging||!1===e._fullLayout.hovermode||(e._hoverdata=[y(t,e._fullData[o.index])],a.click(e,r.event))}))}function b(t,e,n){var r=g.castOption(t.insidetextfont.color,e.pts);!r&&t._input.textfont&&(r=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||n.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||n.size;return{color:r||o.contrast(e.color),family:i,size:a}}function x(t,e){for(var n,r,i=0;i<t.length;i++)if((r=(n=t[i][0]).trace).title.text){var a=r.title.text;r._meta&&(a=l.templateString(a,r._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,r.title.font).call(h.convertToTspans,e),c=s.bBox(o.node(),!0);n.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,n){var r=n.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=n.trace.insidetextorientation,h=\"horizontal\"===u,d=\"tangential\"===u,f=\"radial\"===u,p=\"auto\"===u,m=[];if(!p){var g,y=function(n,i){if(function(t,e){var n=t.startangle,r=t.stopangle;return n>e&&e>r||n<e&&e<r}(e,n)){var s=Math.abs(n-e.startangle),l=Math.abs(n-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?M(t,r,o,c,0):k(t,r,o,c,Math.PI/2)).textPosAngle=n,m.push(a)}};if(h||d){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(h||f){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||p||h){var v=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*r*2/v,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(p||f)&&((a=k(t,r,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(p||d)&&((a=M(t,r,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var _=0,b=0,x=0;x<m.length;x++){var w=m[x].scale;if(b<w&&(b=w,_=x),!p&&b>=1)break}return m[_]}function k(t,e,n,r,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=A(a,r,e,n);return{scale:2*o/t.height,rCenter:T(a,o/e),rotate:S(i)}}function M(t,e,n,r,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=A(a,r,e,n);return{scale:2*o/t.width,rCenter:T(a,o/e),rotate:S(i+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function S(t){return(180/Math.PI*t+720)%180-90}function A(t,e,n,r){var i=t+1/(2*Math.tan(e));return n*Math.min(1/(Math.sqrt(i*i+.5)+i),r/(Math.sqrt(t*t+r/2)+t))}function L(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var n=e.pxmid[0],r=e.pxmid[1],i=t.width/2,a=t.height/2;return n<0&&(i*=-1),r<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+n*n/(r*r)),outside:!0}}function E(t,e){var n,r,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,n=D(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+n)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+n)*t.r);var l,c=t.r/(void 0===(l=t.trace.aspectratio)?1:l),u=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(u+=c,o.x-=(1+n)*c,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?u*=2:-1!==a.title.position.indexOf(\"right\")&&(u+=c,o.x+=(1+n)*c,s.tx-=t.titleBox.width/2),r=u/t.titleBox.width,i=O(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,i),tx:s.tx,ty:s.ty}}function O(t,e){var n=t.trace;return Math.min(t.titleBox.height,e.h*(n.domain.y[1]-n.domain.y[0])/2)}function D(t){var e,n=t.pull;if(!n)return 0;if(Array.isArray(n))for(n=0,e=0;e<t.pull.length;e++)t.pull[e]>n&&(n=t.pull[e]);return n}function I(t,e){for(var n=[],r=0;r<t.length;r++){var i=t[r][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=O(i,e));var c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(s/2,c)/(1+D(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=O(i,e)),a.scalegroup&&-1===n.indexOf(a.scalegroup)&&n.push(a.scalegroup)}!function(t,e){for(var n,r,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(r=0;r<t.length;r++)if((i=(n=t[r][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=n.r*n.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?u=(c=n.r)/i.aspectratio:c=(u=n.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u}o=Math.min(o,l/n.vTotal)}for(r=0;r<t.length;r++)if((i=(n=t[r][0]).trace).scalegroup===s){var h=o*n.vTotal;\"funnelarea\"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),n.r=Math.sqrt(h)}}}(t,n)}function P(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function R(t,e,n){var r=t._fullLayout,i=n.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),d=u(\"text\"),f=u(\"value\"),p=u(\"percent\"),m=r.separators;if(s=h?[e.label]:[],d){var y=g.getFirstFilled(i.text,e.pts);v(y)&&s.push(y)}f&&s.push(g.formatPieValue(e.v,m)),p&&s.push(g.formatPiePercent(e.v/n.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var _=l.castOption(i,e.i,\"texttemplate\");if(_){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,r.separators),percent:t.v/n.vTotal,percentLabel:g.formatPiePercent(t.v/n.vTotal,r.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),x=g.getFirstFilled(i.text,e.pts);(v(x)||\"\"===x)&&(b.text=x),e.text=l.texttemplateString(_,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function z(t,e){var n=t.rotate*Math.PI/180,r=Math.cos(n),i=Math.sin(n),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*r-o*i,t.textY=a*i+o*r,t.noCenter=!0}e.exports={plot:function(t,e){var n=t._fullLayout,a=n._size;p(\"pie\",n),x(e,t),I(e,a);var d=l.makeTraceGroups(n._pielayer,e,\"trace\").each((function(e){var d=r.select(this),p=e[0],m=p.trace;(function(t){var e,n,r,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(r=P(a,s),e=0;e<t.length;e++)(n=t[e]).hidden||(n[c]=r,n.startangle=s,n.pxmid=P(a,s+=l*n.v/2),n.midangle=s,r=P(a,s+=l*n.v/2),n.stopangle=s,n[u]=r,n.largeArc=n.v>i.vTotal/2?1:0,n.halfangle=Math.PI*Math.min(n.v/i.vTotal,.5),n.ring=1-o.hole,n.rInscribed=L(n,i))})(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var y=r.select(this).selectAll(\"g.slice\").data(e);y.enter().append(\"g\").classed(\"slice\",!0),y.exit().remove();var v=[[[],[]],[[],[]]],x=!1;y.each((function(i,a){if(i.hidden)r.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,v[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=p.cx,c=p.cy,u=r.select(this),d=u.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(_,t,e),m.pull){var y=+g.castOption(m.pull,i.pts)||0;y>0&&(o+=y*i.pxmid[0],c+=y*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var k=m.hole;if(i.v===p.vTotal){var M=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+E(i.px0,i.pxmid,!0,1)+E(i.pxmid,i.px0,!0,1)+\"Z\";d.attr(\"d\",k?\"M\"+(o+k*i.px0[0])+\",\"+(c+k*i.px0[1])+E(i.px0,i.pxmid,!1,k)+E(i.pxmid,i.px0,!1,k)+\"Z\"+M:M)}else{var T=E(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(o+k*i.px1[0])+\",\"+(c+k*i.px1[1])+E(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+T+\"Z\")}else d.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+T+\"Z\")}R(t,i,p);var A=g.castOption(m.textposition,i.pts),L=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==A?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each((function(){var u=l.ensureSingle(r.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),d=l.ensureUniformFontSize(t,\"outside\"===A?function(t,e,n){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||n.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||n.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||n.size}}(m,i,n.font):b(m,i,n.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,d).call(h.convertToTspans,t);var y,v=s.bBox(u.node());if(\"outside\"===A)y=C(v,i);else if(y=w(v,i,p),\"auto\"===A&&y.scale<1){var _=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,_),y=C(v=s.bBox(u.node()),i)}var k=y.textPosAngle,M=void 0===k?i.pxmid:P(p.r,k);if(y.targetX=o+M[0]*y.rCenter+(y.x||0),y.targetY=c+M[1]*y.rCenter+(y.y||0),z(y,v),y.outside){var T=y.targetY;i.yLabelMin=T-v.height/2,i.yLabelMid=T,i.yLabelMax=T+v.height/2,i.labelExtraX=0,i.labelExtraY=0,x=!0}y.fontSize=d.size,f(m.type,y,n),e[a].transform=y,u.attr(\"transform\",l.getTextTransform(y))}))}function E(t,e,n,r){return\"a\"+r*p.r+\",\"+r*p.r+\" 0 \"+i.largeArc+(n?\" 1 \":\" 0 \")+r*(e[0]-t[0])+\",\"+r*(e[1]-t[1])}}));var k=r.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,n=l.ensureSingle(r.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),n.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(h.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(p):E(p,a),n.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),x&&function(t,e){var n,r,i,a,o,s,l,c,u,h,d,f,p;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function y(t,e){return e.pxmid[1]-t.pxmid[1]}function v(t,n){n||(n={});var 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r=t(\"d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,n=r.select(this);n.style({opacity:e.opacity}),n.selectAll(\"path.surface\").each((function(t){r.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":937,\"./style_one\":1172,d3:169}],1172:[function(t,e,n){\"use strict\";var r=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,n){var a=n.marker.line,o=i(a.color,e.pts)||r.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(r.fill,e.color).call(r.stroke,o)}},{\"../../components/color\":643,\"./helpers\":1166}],1173:[function(t,e,n){\"use strict\";var r=t(\"../scatter/attributes\");e.exports={x:r.x,y:r.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:r.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1187}],1174:[function(t,e,n){\"use strict\";var r=t(\"gl-pointcloud2d\"),i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=r(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,n,r,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,d=t.indices,f=this.bounds;if(h){if(r=h,e=h.length>>>1,t.xbounds&&t.ybounds)f[0]=t.xbounds[0],f[2]=t.xbounds[1],f[1]=t.ybounds[0],f[3]=t.ybounds[1];else for(l=0;l<e;l++)s=r[2*l+1],(o=r[2*l])<f[0]&&(f[0]=o),o>f[2]&&(f[2]=o),s<f[1]&&(f[1]=s),s>f[3]&&(f[3]=s);if(d)n=d;else for(n=new Int32Array(e),l=0;l<e;l++)n[l]=l}else for(e=c.length,r=new Float32Array(2*e),n=new 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n.update(e),n}},{\"../../lib/str2rgbarray\":802,\"../../plots/cartesian/autorange\":827,\"../scatter/get_trace_color\":1197,\"gl-pointcloud2d\":324}],1175:[function(t,e,n){\"use strict\";var r=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,n){function a(n,a){return r.coerce(t,e,i,n,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",n),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",n),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":778,\"./attributes\":1173}],1176:[function(t,e,n){\"use 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r=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../lib/extend\").extendFlat,d=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\"),(e.exports=d({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:r({}),customdata:void 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o={_id:\"x\",c2p:u.identity,_offset:n._sankey.translateX,_length:n._sankey.width},d={_id:\"y\",c2p:u.identity,_offset:n._sankey.translateY,_length:n._sankey.height},f={gd:t,element:a.node(),plotinfo:{id:e,xaxis:o,yaxis:d,fillRangeItems:u.noop},subplot:e,xaxes:[o],yaxes:[d],doneFnCompleted:function(n){var r,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,n=0;n<e.length;n++)if(e[n].pointNumber===t)return e[n]}for(var l=0;l<n.length;l++){var c=s(n[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);a[c.pointNumber-i.node._count]=!1}else o.push(c.pointNumber)}r=a.filter(Boolean).concat([o]),h.call(\"_guiRestyle\",t,{\"node.groups\":[r]},e)},prepFn:function(t,e,n){c(t,e,n,f,i)}};l.init(f)}}n.name=d,n.baseLayoutAttrOverrides=r({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),n.plot=function(t){var e=i(t.calcdata,d)[0];a(t,e),n.updateFx(t)},n.clean=function(t,e,n,r){var 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m=y(p),g={valueLabel:r.format(i.valueFormat)(p.value)+i.valueSuffix};l.push({x:m[0],y:m[1],name:g.valueLabel,text:[p.label||\"\",x+p.source.label,w+p.target.label,p.concentrationscale?k+r.format(\"%0.2f\")(p.flow.labelConcentration):\"\"].filter(u).join(\"<br>\"),color:b(s,\"bgcolor\")||o.addOpacity(p.color,1),borderColor:b(s,\"bordercolor\"),fontFamily:b(s,\"font.family\"),fontSize:b(s,\"font.size\"),fontColor:b(s,\"font.color\"),nameLength:b(s,\"namelength\"),textAlign:b(s,\"align\"),idealAlign:r.event.x<m[0]?\"right\":\"left\",hovertemplate:s.hovertemplate,hovertemplateLabels:g,eventData:[p]})}}a.loneHover(l,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||d(this,.65),f(this)}))}}function y(t){var e,n;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,n=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,n=(t.y0+t.y1)/2);var r=[e,n];return\"v\"===t.trace.orientation&&r.reverse(),r[0]+=i.parent.translateX,r[1]+=i.parent.translateY,r}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(r.select(e).call(_.bind(0,i,o,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:r.event,points:[i.link]})),a.loneUnhover(n._hoverlayer.node()))},select:function(e,n){var i=n.link;i.originalEvent=r.event,t._hoverdata=[i],a.click(t,{target:!0})}},nodeEvents:{hover:function(e,n,i){!1!==t._fullLayout.hovermode&&(r.select(e).call(g,n,i),\"skip\"!==n.node.trace.node.hoverinfo&&(n.node.fullData=n.node.trace,t.emit(\"plotly_hover\",{event:r.event,points:[n.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var s=r.select(e).select(\".\"+l.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=s.node().getBoundingClientRect(),p=h.left-2-c.left,m=h.right+2-c.left,g=h.top+h.height/4-c.top,y={valueLabel:r.format(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var v=t._fullLayout._invScaleX,_=a.loneHover({x0:v*p,x1:v*m,y:t._fullLayout._invScaleY*g,name:r.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,M+i.node.targetLinks.length,T+i.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||i.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:t});d(_,.85),f(_)}}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(r.select(e).call(y,i,o),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:r.event,points:[i.node]})),a.loneUnhover(n._hoverlayer.node()))},select:function(e,n,i){var 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o=r[t=i[w]],s=0,l={};for(k=0;k<o.length;k++)l[(e=o[k]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(k=0;k<o.length;k++)(e=o[k]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=a(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<n.sourceLinks.length;w++)c+=n.sourceLinks[w].value;for(w=0;w<n.sourceLinks.length;w++)(e=n.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<n.targetLinks.length;w++)u+=n.targetLinks[w].value;for(w=0;w<n.targetLinks.length;w++)(e=n.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(x=0;x<Math.min(s.node.x.length,s.node.y.length,M.nodes.length);x++)if(s.node.x[x]&&s.node.y[x]){var C=[s.node.x[x]*m,s.node.y[x]*y];M.nodes[x].x0=C[0]-p/2,M.nodes[x].x1=C[0]+p/2;var E=M.nodes[x].y1-M.nodes[x].y0;M.nodes[x].y0=C[1]-E/2,M.nodes[x].y1=C[1]+E/2}\"snap\"===s.arrangement&&function(t){var 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r=a(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+n;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),linkPath:x,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function x(){return function(t){if(t.link.circular)return n=(e=t.link).width/2,r=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+r.targetX+\" \"+(r.targetY+n)+\" L\"+r.rightInnerExtent+\" \"+(r.targetY+n)+\"A\"+(r.rightLargeArcRadius+n)+\" \"+(r.rightSmallArcRadius+n)+\" 0 0 1 \"+(r.rightFullExtent-n)+\" \"+(r.targetY-r.rightSmallArcRadius)+\"L\"+(r.rightFullExtent-n)+\" \"+r.verticalRightInnerExtent+\"A\"+(r.rightLargeArcRadius+n)+\" \"+(r.rightLargeArcRadius+n)+\" 0 0 1 \"+r.rightInnerExtent+\" \"+(r.verticalFullExtent-n)+\"L\"+r.leftInnerExtent+\" \"+(r.verticalFullExtent-n)+\"A\"+(r.leftLargeArcRadius+n)+\" \"+(r.leftLargeArcRadius+n)+\" 0 0 1 \"+(r.leftFullExtent+n)+\" \"+r.verticalLeftInnerExtent+\"L\"+(r.leftFullExtent+n)+\" \"+(r.sourceY-r.leftSmallArcRadius)+\"A\"+(r.leftLargeArcRadius+n)+\" \"+(r.leftSmallArcRadius+n)+\" 0 0 1 \"+r.leftInnerExtent+\" \"+(r.sourceY+n)+\"L\"+r.sourceX+\" \"+(r.sourceY+n)+\"L\"+r.sourceX+\" \"+(r.sourceY-n)+\"L\"+r.leftInnerExtent+\" \"+(r.sourceY-n)+\"A\"+(r.leftLargeArcRadius-n)+\" \"+(r.leftSmallArcRadius-n)+\" 0 0 0 \"+(r.leftFullExtent-n)+\" \"+(r.sourceY-r.leftSmallArcRadius)+\"L\"+(r.leftFullExtent-n)+\" \"+r.verticalLeftInnerExtent+\"A\"+(r.leftLargeArcRadius-n)+\" \"+(r.leftLargeArcRadius-n)+\" 0 0 0 \"+r.leftInnerExtent+\" \"+(r.verticalFullExtent+n)+\"L\"+r.rightInnerExtent+\" \"+(r.verticalFullExtent+n)+\"A\"+(r.rightLargeArcRadius-n)+\" \"+(r.rightLargeArcRadius-n)+\" 0 0 0 \"+(r.rightFullExtent+n)+\" \"+r.verticalRightInnerExtent+\"L\"+(r.rightFullExtent+n)+\" \"+(r.targetY-r.rightSmallArcRadius)+\"A\"+(r.rightLargeArcRadius-n)+\" \"+(r.rightSmallArcRadius-n)+\" 0 0 0 \"+r.rightInnerExtent+\" \"+(r.targetY-n)+\"L\"+r.targetX+\" \"+(r.targetY-n)+\"Z\":\"M \"+r.targetX+\" \"+(r.targetY-n)+\" L\"+r.rightInnerExtent+\" \"+(r.targetY-n)+\"A\"+(r.rightLargeArcRadius+n)+\" \"+(r.rightSmallArcRadius+n)+\" 0 0 0 \"+(r.rightFullExtent-n)+\" \"+(r.targetY+r.rightSmallArcRadius)+\"L\"+(r.rightFullExtent-n)+\" \"+r.verticalRightInnerExtent+\"A\"+(r.rightLargeArcRadius+n)+\" \"+(r.rightLargeArcRadius+n)+\" 0 0 0 \"+r.rightInnerExtent+\" \"+(r.verticalFullExtent+n)+\"L\"+r.leftInnerExtent+\" \"+(r.verticalFullExtent+n)+\"A\"+(r.leftLargeArcRadius+n)+\" \"+(r.leftLargeArcRadius+n)+\" 0 0 0 \"+(r.leftFullExtent+n)+\" \"+r.verticalLeftInnerExtent+\"L\"+(r.leftFullExtent+n)+\" \"+(r.sourceY+r.leftSmallArcRadius)+\"A\"+(r.leftLargeArcRadius+n)+\" \"+(r.leftSmallArcRadius+n)+\" 0 0 0 \"+r.leftInnerExtent+\" \"+(r.sourceY-n)+\"L\"+r.sourceX+\" 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A=t.opacity;if(t.marker&&t.marker.opacity&&(A*=t.marker.opacity),n={gl:this.scene.glplot.gl,position:S.position,color:S.scatterColor,size:S.scatterSize,glyph:S.scatterMarker,opacity:A,orthographic:!0,lineWidth:S.scatterLineWidth,lineColor:S.scatterLineColor,project:S.project,projectScale:S.projectScale,projectOpacity:S.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(n):(this.scatterPlot=i(n),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),y={gl:this.scene.glplot.gl,position:S.position,glyph:S.text,color:S.textColor,size:S.textSize,angle:S.textAngle,alignment:S.textOffset,font:S.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(y):(this.textMarkers=i(y),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),f={gl:this.scene.glplot.gl,position:S.position,color:S.errorColor,error:S.errorBounds,lineWidth:S.errorLineWidth,capSize:S.errorCapSize,opacity:t.opacity},this.errorBars?S.errorBounds?this.errorBars.update(f):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):S.errorBounds&&(this.errorBars=a(f),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),S.delaunayAxis>=0){var L=function(t,e,n){var r,i=(n+1)%3,a=(n+2)%3,o=[],l=[];for(r=0;r<t.length;++r){var c=t[r];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(r))}var u=s(o);for(r=0;r<u.length;++r)for(var h=u[r],d=0;d<h.length;++d)h[d]=l[h[d]];return{positions:t,cells:u,meshColor:e}}(S.position,S.delaunayColor,S.delaunayAxis);L.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(L):(L.gl=v,this.delaunayMesh=o(L),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else 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y=[];(a.hasMarkers(e)||a.hasText(e))&&(f(\"marker.maxdisplayed\"),y.push(\"points\")),f(\"fill\"),\"none\"!==e.fill&&(u(t,e,n,f),a.hasLines(e)||l(t,e,f)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||y.push(\"fills\"),\"fills\"!==f(\"hoveron\",y.join(\"+\")||\"points\")&&f(\"hovertemplate\"),r.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},{\"../../lib\":778,\"../scatter/constants\":1191,\"../scatter/fillcolor_defaults\":1195,\"../scatter/line_defaults\":1200,\"../scatter/line_shape_defaults\":1202,\"../scatter/marker_defaults\":1206,\"../scatter/subtypes\":1212,\"../scatter/text_defaults\":1213,\"./attributes\":1221}],1224:[function(t,e,n){\"use strict\";e.exports=function(t,e,n,r,i){var a=r[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],1225:[function(t,e,n){\"use strict\";e.exports=function(t,e){var n={},r=e._carpet,i=r.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=r.evalxy([],a,s,o,i[1]-s);return n.yLabel=l[1].toFixed(3),n}},{}],1226:[function(t,e,n){\"use 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r=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=a.marker,d=a.line,f=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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r=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,n,u){function h(n,i){return r.coerce(t,e,c,n,i)}var d,f=h(\"locations\");if(f&&f.length){var p,m=h(\"geojson\");(\"string\"==typeof m&&\"\"!==m||r.isPlainObject(m))&&(p=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",p)&&h(\"featureidkey\"),d=f.length}else{var g=h(\"lon\")||[],y=h(\"lat\")||[];d=Math.min(g.length,y.length)}d?(e._length=d,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(o(t,e,n,u,h),h(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,n,u,h,{gradient:!0}),i.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,n,h),r.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":778,\"../scatter/fillcolor_defaults\":1195,\"../scatter/line_defaults\":1200,\"../scatter/marker_defaults\":1206,\"../scatter/subtypes\":1212,\"../scatter/text_defaults\":1213,\"./attributes\":1229}],1232:[function(t,e,n){\"use strict\";e.exports=function(t,e,n,r,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=r[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],1233:[function(t,e,n){\"use strict\";var r=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,n){var i={},a=n[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=a(c,m),t.extraText=function(t,e,n,r){if(!t.hovertemplate){var i=e.hi||t.hoverinfo,a=\"all\"===i?s.hoverinfo.flags:i.split(\"+\"),l=-1!==a.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==a.indexOf(\"lon\"),u=-1!==a.indexOf(\"lat\"),h=-1!==a.indexOf(\"text\"),d=[];return l?d.push(e.loc):c&&u?d.push(\"(\"+f(n.lonLabel)+\", \"+f(n.latLabel)+\")\"):c?d.push(r.lon+f(n.lonLabel)):u&&d.push(r.lat+f(n.latLabel)),h&&o(e,t,d),d.join(\"<br>\")}function f(t){return t+\"\\xb0\"}}(c,m,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":683,\"../../constants/numerical\":753,\"../../lib\":778,\"../scatter/get_trace_color\":1197,\"./attributes\":1229}],1235:[function(t,e,n){\"use 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s=o.calcTraceToLineCoords(e),c=\"none\"!==a.fill?o.makePolygon(s):o.makeLine(s);n.selectAll(\"path.js-line\").data([{geojson:c,trace:a}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}h.hasMarkers(a)&&n.selectAll(\"path.point\").data(i.identity).enter().append(\"path\").classed(\"point\",!0).each((function(t){l(t,this)})),h.hasText(a)&&n.selectAll(\"g\").data(i.identity).enter().append(\"g\").append(\"text\").each((function(t){l(t,this)})),d(t,e)}))}}},{\"../../constants/numerical\":753,\"../../lib\":778,\"../../lib/geo_location_utils\":771,\"../../lib/geojson_utils\":772,\"../../lib/topojson_utils\":806,\"../../plots/cartesian/autorange\":827,\"../scatter/calc\":1188,\"../scatter/subtypes\":1212,\"./style\":1238,d3:169}],1237:[function(t,e,n){\"use strict\";var r=t(\"../scatter/subtypes\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e){var 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r;if(h.hasText(e)&&(r.text=v(t,e),r.textSel=x(t,e,e.selected),r.textUnsel=x(t,e,e.unselected)),h.hasMarkers(e)&&(r.marker=_(e),r.markerSel=b(e,e.selected),r.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var i=e.marker.opacity;for(r.markerUnsel.opacity=new Array(i.length),n=0;n<i.length;n++)r.markerUnsel.opacity[n]=m*i[n]}if(h.hasLines(e)){r.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var a=(p.DASHES[e.line.dash]||[1]).slice();for(n=0;n<a.length;++n)a[n]*=e.line.width;r.line.dashes=a}return e.error_x&&e.error_x.visible&&(r.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(r.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(r.fill={closed:!0,fill:e.fillcolor,thickness:0}),r},markerStyle:_,markerSelection:b,linePositions:function(t,e,n){var 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r=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),h=t(\"../scatter/marker_defaults\"),d=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,n,m){function g(n,i){return r.coerce(t,e,o,n,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),_=c(t,e,m,g);if(_){u(t,e,m,g);var b=_<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),d(t,e,n,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(h(t,e,n,m,g),g(\"marker.line.width\",y||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,m,g));var x=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,n,g);var k=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");k(t,e,x||w||n,{axis:\"y\"}),k(t,e,x||w||n,{axis:\"x\",inherit:\"y\"}),r.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":778,\"../../registry\":911,\"../scatter/constants\":1191,\"../scatter/fillcolor_defaults\":1195,\"../scatter/line_defaults\":1200,\"../scatter/marker_defaults\":1206,\"../scatter/period_defaults\":1207,\"../scatter/subtypes\":1212,\"../scatter/text_defaults\":1213,\"../scatter/xy_defaults\":1214,\"./attributes\":1239,\"./helpers\":1246}],1244:[function(t,e,n){\"use strict\";var r=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,n,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],d=c.unselectBatch[u],f=c.textOptions[u],p=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=r.extendFlat({},f);if(h.length||d.length){var y=p.color,v=m.color,_=f.color,b=Array.isArray(_);for(g.color=new Array(s._length),e=0;e<h.length;e++)g.color[n=h[e]]=y||(b?_[n]:_);for(e=0;e<d.length;e++){n=d[e];var x=b?_[n]:_;g.color[n]=v||(y?x:i.addOpacity(x,a))}}c.glText[u].update(g)}}},{\"../../components/color\":643,\"../../constants/interactions\":752,\"../../lib\":778}],1245:[function(t,e,n){\"use strict\";var r=t(\"../scatter/format_labels\");e.exports=function(t,e,n){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),r(t,e,n)}},{\"../scatter/format_labels\":1196}],1246:[function(t,e,n){\"use strict\";var r=t(\"./constants\");n.isOpenSymbol=function(t){return\"string\"==typeof t?r.OPEN_RE.test(t):t%200>100},n.isDotSymbol=function(t){return\"string\"==typeof t?r.DOT_RE.test(t):t>200}},{\"./constants\":1241}],1247:[function(t,e,n){\"use strict\";var r=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,n,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,d={pointNumber:h,x:e[h],y:n[h]};d.tx=Array.isArray(o.text)?o.text[h]:o.text,d.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,d.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,d.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var f=o.textfont;f&&(d.ts=i.isArrayOrTypedArray(f.size)?f.size[h]:f.size,d.tc=Array.isArray(f.color)?f.color[h]:f.color,d.tf=Array.isArray(f.family)?f.family[h]:f.family);var p=o.marker;p&&(d.ms=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,d.mo=i.isArrayOrTypedArray(p.opacity)?p.opacity[h]:p.opacity,d.mx=i.isArrayOrTypedArray(p.symbol)?p.symbol[h]:p.symbol,d.mc=i.isArrayOrTypedArray(p.color)?p.color[h]:p.color);var m=p&&p.line;m&&(d.mlc=Array.isArray(m.color)?m.color[h]:m.color,d.mlw=i.isArrayOrTypedArray(m.width)?m.width[h]:m.width);var g=p&&p.gradient;g&&\"none\"!==g.type&&(d.mgt=Array.isArray(g.type)?g.type[h]:g.type,d.mgc=Array.isArray(g.color)?g.color[h]:g.color);var y=s.c2p(d.x,!0),v=l.c2p(d.y,!0),_=d.mrc||1,b=o.hoverlabel;b&&(d.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,d.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,d.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,d.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,d.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,d.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var x=o.hoverinfo;x&&(d.hi=Array.isArray(x)?x[h]:x);var w=o.hovertemplate;w&&(d.ht=Array.isArray(w)?w[h]:w);var k={};k[t.index]=d;var M=o._origX,T=o._origY,S=i.extendFlat({},t,{color:a(o,d),x0:y-_,x1:y+_,xLabelVal:M?M[h]:d.x,y0:v-_,y1:v+_,yLabelVal:T?T[h]:d.y,cd:k,distance:c,spikeDistance:u,hovertemplate:d.ht});return d.htx?S.text=d.htx:d.tx?S.text=d.tx:o.text&&(S.text=o.text),i.fillText(d,o,S),r.getComponentMethod(\"errorbars\",\"hoverInfo\")(d,o,S),S}e.exports={hoverPoints:function(t,e,n,r){var i,a,s,l,c,u,h,d,f,p=t.cd,m=p[0].t,g=p[0].trace,y=t.xa,v=t.ya,_=m.x,b=m.y,x=y.c2p(e),w=v.c2p(n),k=t.distance;if(m.tree){var M=y.p2c(x-k),T=y.p2c(x+k),S=v.p2c(w-k),A=v.p2c(w+k);i=\"x\"===r?m.tree.range(Math.min(M,T),Math.min(v._rl[0],v._rl[1]),Math.max(M,T),Math.max(v._rl[0],v._rl[1])):m.tree.range(Math.min(M,T),Math.min(S,A),Math.max(M,T),Math.max(S,A))}else i=m.ids;var L=k;if(\"x\"===r)for(c=0;c<i.length;c++)s=_[i[c]],(u=Math.abs(y.c2p(s)-x))<L&&(L=u,h=v.c2p(b[i[c]])-w,f=Math.sqrt(u*u+h*h),a=i[c]);else for(c=i.length-1;c>-1;c--)l=b[i[c]],u=y.c2p(s=_[i[c]])-x,h=v.c2p(l)-w,(d=Math.sqrt(u*u+h*h))<L&&(L=f=d,a=i[c]);return t.index=a,t.distance=L,t.dxy=f,void 0===a?[t]:[o(t,_,b,g)]},calcHover:o}},{\"../../lib\":778,\"../../registry\":911,\"../scatter/get_trace_color\":1197}],1248:[function(t,e,n){\"use strict\";var r=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:r.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":841,\"../scatter/cross_trace_defaults\":1193,\"../scatter/marker_colorbar\":1205,\"./attributes\":1239,\"./calc\":1240,\"./defaults\":1243,\"./format_labels\":1245,\"./hover\":1247,\"./plot\":1249,\"./select\":1251}],1249:[function(t,e,n){\"use strict\";var r=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),d=t(\"./edit_style\").styleTextSelection;function f(t,e,n){var r=t._size;return[r.l+e.domain[0]*r.w,r.b+n.domain[0]*r.h,t.width-r.r-(1-e.domain[1])*r.w,t.height-r.t-(1-n.domain[1])*r.h]}e.exports=function(t,e,n){if(n.length){var p,m,g=t._fullLayout,y=e._scene,v=e.xaxis,_=e.yaxis;if(y)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=y.count,x=g._glcanvas.data()[0].regl;if(h(t,e,n),y.dirty){if(!0===y.error2d&&(y.error2d=a(x)),!0===y.line2d&&(y.line2d=i(x)),!0===y.scatter2d&&(y.scatter2d=r(x,{constPointSize:!0})),!0===y.fill2d&&(y.fill2d=i(x)),!0===y.glText)for(y.glText=new Array(b),p=0;p<b;p++)y.glText[p]=new o(x);if(y.glText){if(b>y.glText.length){var w=b-y.glText.length;for(p=0;p<w;p++)y.glText.push(new o(x))}else b<y.glText.length&&y.glText.splice(b,y.glText.length-b).forEach((function(t){t.destroy()}));for(p=0;p<b;p++)y.glText[p].update(y.textOptions[p])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,n=0;n<e.length&&(isNaN(e[n])||isNaN(e[n+1]));)n+=2;for(var r=e.length-2;r>n&&(isNaN(e[r])||isNaN(e[r+1]));)r-=2;t.positions=e.slice(n,r+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var k=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(k)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,b),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var r=n[e];if(t&&r&&r[0]&&r[0].trace){var i,a,o=r[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var h,d,f=[],p=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<p.length&&isNaN(p[h+1]);)h+=2;for(d=p.length-2;d>h&&isNaN(p[d+1]);)d-=2;0!==p[h+1]&&(f=[p[h],0]),f=f.concat(p.slice(h,d+2)),0!==p[d+1]&&(f=f.concat([p[d],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<p.length&&isNaN(p[h]);)h+=2;for(d=p.length-2;d>h&&isNaN(p[d]);)d-=2;0!==p[h]&&(f=[0,p[h+1]]),f=f.concat(p.slice(h,d+2)),0!==p[d]&&(f=f.concat([0,p[d+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(f=[],i=0,a=0;a<p.length;a+=2)(isNaN(p[a])||isNaN(p[a+1]))&&((f=f.concat(p.slice(i,a))).push(p[i],p[i+1]),i=a+2);f=f.concat(p.slice(i)),i&&f.push(p[i],p[i+1])}else{var m=s._nexttrace;if(m){var g=y.lineOptions[e+1];if(g){var v=g.positions;if(\"tonexty\"===s.fill){for(f=p.slice(),e=Math.floor(v.length/2);e--;){var _=v[2*e],b=v[2*e+1];isNaN(_)||isNaN(b)||f.push(_,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var x=y.lineOptions[e-1].positions,w=f.length/2,k=[i=w];for(a=0;a<x.length;a+=2)(isNaN(x[a])||isNaN(x[a+1]))&&(k.push(a/2+w+1),i=a+2);f=f.concat(x),t.hole=k}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=f,t}})),y.fill2d.update(y.fillOptions))}var M=l(g.dragmode),T=g.clickmode.indexOf(\"select\")>-1;for(p=0;p<b;p++){var S=n[p][0],A=S.trace,L=S.t,C=L.index,E=A._length,O=L.x,D=L.y;if(A.selectedpoints||M||T){if(M||(M=!0),A.selectedpoints){var I=y.selectBatch[C]=s.selIndices2selPoints(A),P={};for(m=0;m<I.length;m++)P[I[m]]=1;var R=[];for(m=0;m<E;m++)P[m]||R.push(m);y.unselectBatch[C]=R}var z=L.xpx=new Array(E),j=L.ypx=new Array(E);for(m=0;m<E;m++)z[m]=v.c2p(O[m]),j[m]=_.c2p(D[m])}else L.xpx=L.ypx=null}if(M){if(y.select2d||(y.select2d=r(g._glcanvas.data()[1].regl)),y.scatter2d){var F=new Array(b);for(p=0;p<b;p++)F[p]=y.selectBatch[p].length||y.unselectBatch[p].length?y.markerUnselectedOptions[p]:{};y.scatter2d.update(F)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&n.forEach((function(t){u.hasText(((t||[])[0]||{}).trace||{})&&d(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var N={viewport:f(g,v,_),range:[(v._rl||v.range)[0],(_._rl||_.range)[0],(v._rl||v.range)[1],(_._rl||_.range)[1]]},B=s.repeat(N,y.count);y.fill2d&&y.fill2d.update(B),y.line2d&&y.line2d.update(B),y.error2d&&y.error2d.update(B.concat(B)),y.scatter2d&&y.scatter2d.update(B),y.select2d&&y.select2d.update(B),y.glText&&y.glText.forEach((function(t){t.update(N)}))}else y.init()}}},{\"../../components/dragelement/helpers\":661,\"../../lib\":778,\"../../lib/prepare_regl\":791,\"../scatter/link_traces\":1203,\"../scatter/subtypes\":1212,\"./edit_style\":1244,\"gl-text\":352,\"regl-error2d\":534,\"regl-line2d\":535,\"regl-scatter2d\":537}],1250:[function(t,e,n){\"use strict\";var r=t(\"../../lib\");e.exports=function(t,e){var n=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((n=e._scene={}).init=function(){r.extendFlat(n,a,i)},n.init(),n.update=function(t){var e=r.repeat(t,n.count);if(n.fill2d&&n.fill2d.update(e),n.scatter2d&&n.scatter2d.update(e),n.line2d&&n.line2d.update(e),n.error2d&&n.error2d.update(e.concat(e)),n.select2d&&n.select2d.update(e),n.glText)for(var i=0;i<n.count;i++)n.glText[i].update(t)},n.draw=function(){for(var t=n.count,e=n.fill2d,i=n.error2d,a=n.line2d,o=n.scatter2d,s=n.glText,l=n.select2d,c=n.selectBatch,u=n.unselectBatch,h=0;h<t;h++){if(e&&n.fillOrder[h]&&e.draw(n.fillOrder[h]),a&&n.lineOptions[h]&&a.draw(h),i&&(n.errorXOptions[h]&&i.draw(h),n.errorYOptions[h]&&i.draw(h+t)),o&&n.markerOptions[h])if(u[h].length){var d=r.repeat([],n.count);d[h]=u[h],o.draw(d)}else c[h].length||o.draw(h);s[h]&&n.textOptions[h]&&s[h].render()}l&&l.draw(c),n.dirty=!1},n.destroy=function(){n.fill2d&&n.fill2d.destroy&&n.fill2d.destroy(),n.scatter2d&&n.scatter2d.destroy&&n.scatter2d.destroy(),n.error2d&&n.error2d.destroy&&n.error2d.destroy(),n.line2d&&n.line2d.destroy&&n.line2d.destroy(),n.select2d&&n.select2d.destroy&&n.select2d.destroy(),n.glText&&n.glText.forEach((function(t){t.destroy&&t.destroy()})),n.lineOptions=null,n.fillOptions=null,n.markerOptions=null,n.markerSelectedOptions=null,n.markerUnselectedOptions=null,n.errorXOptions=null,n.errorYOptions=null,n.textOptions=null,n.textSelectedOptions=null,n.textUnselectedOptions=null,n.selectBatch=null,n.unselectBatch=null,e._scene=null}),n.dirty||r.extendFlat(n,i),n}},{\"../../lib\":778}],1251:[function(t,e,n){\"use strict\";var r=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var n=t.cd,a=[],o=n[0].trace,s=n[0].t,l=o._length,c=s.x,u=s.y,h=s._scene,d=s.index;if(!h)return a;var f=r.hasText(o),p=r.hasMarkers(o);if(!0!==o.visible||!p&&!f)return a;var m=[],g=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(m.push(y),a.push({pointNumber:y,x:c[y],y:u[y]})):g.push(y);if(p){var v=h.scatter2d;if(m.length||g.length){if(!h.selectBatch[d].length&&!h.unselectBatch[d].length){var _=new Array(h.count);_[d]=h.markerUnselectedOptions[d],v.update.apply(v,_)}}else{var b=new Array(h.count);b[d]=h.markerOptions[d],v.update.apply(v,b)}}return h.selectBatch[d]=m,h.unselectBatch[d]=g,f&&i(n),a}},{\"../scatter/subtypes\":1212,\"./edit_style\":1244}],1252:[function(t,e,n){\"use strict\";var r=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,d=a.line,f=a.marker;e.exports=h({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:f.opacity,size:f.size,sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:r()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":810,\"../../plots/attributes\":824,\"../../plots/mapbox/layout_attributes\":887,\"../../plots/template_attributes\":906,\"../scatter/attributes\":1187,\"../scattergeo/attributes\":1229}],1253:[function(t,e,n){\"use 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r=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:i({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),showlegend:s({},o.showlegend,{dflt:!1})};s(l,r(\"\",{colorAttr:\"u/v/w 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e,n,i,a,s,l,c,u,h,d,f,p,m=t._x,g=t._y,y=t._z,v=t._len,_=-1/0,b=1/0,x=-1/0,w=1/0,k=-1/0,M=1/0,T=\"\";for(v&&(c=m[0],h=g[0],f=y[0]),v>1&&(u=m[v-1],d=g[v-1],p=y[v-1]),e=0;e<v;e++)_=Math.max(_,m[e]),b=Math.min(b,m[e]),x=Math.max(x,g[e]),w=Math.min(w,g[e]),k=Math.max(k,y[e]),M=Math.min(M,y[e]),a||m[e]===c||(a=!0,T+=\"x\"),s||g[e]===h||(s=!0,T+=\"y\"),l||y[e]===f||(l=!0,T+=\"z\");a||(T+=\"x\"),s||(T+=\"y\"),l||(T+=\"z\");var S=o(t._x),A=o(t._y),L=o(t._z);T=(T=(T=T.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(h>d?\"-\":\"+\")+\"y\")).replace(\"z\",(f>p?\"-\":\"+\")+\"z\");var C=function(){v=0,S=[],A=[],L=[]};(!v||v<S.length*A.length*L.length)&&C();var E=function(t){return\"x\"===t?m:\"y\"===t?g:y},O=function(t){return\"x\"===t?S:\"y\"===t?A:L},D=function(t){return t[v-1]<t[0]?-1:1},I=E(T[1]),P=E(T[3]),R=E(T[5]),z=O(T[1]).length,j=O(T[3]).length,F=O(T[5]).length,N=!1,B=function(t,e,n){return 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":870,\"./attributes\":1294,\"./calc\":1295,\"./convert\":1296,\"./defaults\":1297}],1299:[function(t,e,n){\"use strict\";var r=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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r=t(\"d3-hierarchy\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../components/colorscale\").makeColorScaleFuncFromTrace,s=t(\"../pie/calc\").makePullColorFn,l=t(\"../pie/calc\").generateExtendedColors,c=t(\"../../components/colorscale\").calc,u=t(\"../../constants/numerical\").ALMOST_EQUAL,h={},d={};n.calc=function(t,e){var n,l,h,d,f,p,m=t._fullLayout,g=e.ids,y=a.isArrayOrTypedArray(g),v=e.labels,_=e.parents,b=e.values,x=a.isArrayOrTypedArray(b),w=[],k={},M={},T=function(t){return t||\"number\"==typeof t},S=function(t){return!x||i(b[t])&&b[t]>=0};y?(n=Math.min(g.length,_.length),l=function(t){return T(g[t])&&S(t)},h=function(t){return String(g[t])}):(n=Math.min(v.length,_.length),l=function(t){return T(v[t])&&S(t)},h=function(t){return String(v[t])}),x&&(n=Math.min(n,b.length));for(var A=0;A<n;A++)if(l(A)){var 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n.listPath(t,\"label\").join(\"/\")+\"/\"},n.formatValue=o.formatPieValue,n.formatPercent=function(t,e){var n=r.formatPercent(t,0);return\"0%\"===n&&(n=o.formatPiePercent(t,e)),n}},{\"../../components/color\":643,\"../../lib\":778,\"../../lib/setcursor\":799,\"../pie/helpers\":1166}],1306:[function(t,e,n){\"use strict\";e.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:t(\"./base_plot\"),categories:[],animatable:!0,attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\").style,colorbar:t(\"../scatter/marker_colorbar\"),meta:{}}},{\"../scatter/marker_colorbar\":1205,\"./attributes\":1299,\"./base_plot\":1300,\"./calc\":1301,\"./defaults\":1303,\"./layout_attributes\":1307,\"./layout_defaults\":1308,\"./plot\":1309,\"./style\":1310}],1307:[function(t,e,n){\"use 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h=t._fullLayout,g=!h.uniformtext.mode&&_.hasTransition(u),b=r.select(l).selectAll(\"g.slice\"),w=e[0],k=w.trace,M=_.findEntryWithLevel(w.hierarchy,k.level),T=_.getMaxDepth(k),S=h._size,A=k.domain,L=S.h*(A.y[1]-A.y[0]),C=.5*Math.min(S.w*(A.x[1]-A.x[0]),L),E=w.cx=S.l+S.w*(A.x[1]+A.x[0])/2,O=w.cy=S.t+S.h*(1-A.y[0])-L/2;if(!M)return b.remove();var D=null,I={};g&&b.each((function(t){I[_.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!D&&_.isEntry(t)&&(D=t)}));var P=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),R=M.height+1,z=0,j=T;w.hasMultipleRoots&&_.isHierarchyRoot(M)&&(P=P.slice(1),R-=1,z=1,j+=1),P=P.filter((function(t){return t.y1<=j}));var F=d(k.rotation);F&&P.forEach((function(t){t.x0+=F,t.x1+=F}));var N=Math.min(R,T),B=function(t){return(t-z)/N*C},Y=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},H=function(t){return o.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,E,O)},V=function(t){return 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f(n,e),n.fontSize=x.size,c(k.type,n,h),o.getTextTransform(n)};g?b.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,n=I[_.getPtId(t)],i=t.transform;if(n)e=n;else if(e={rpx1:t.rpx1,transform:{textPosAngle:i.textPosAngle,scale:0,rotate:i.rotate,rCenter:i.rCenter,x:i.x,y:i.y}},D)if(t.parent)if(W){var a=t.x1>W?2*Math.PI:0;e.x0=e.x1=a}else o.extendFlat(e,X(t));else e.x0=e.x1=F;else e.x0=e.x1=F;var s=r.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=r.interpolate(e.rpx1,t.rpx1),u=r.interpolate(e.x0,t.x0),d=r.interpolate(e.x1,t.x1),f=r.interpolate(e.transform.scale,i.scale),p=r.interpolate(e.transform.rotate,i.rotate),m=0===i.rCenter?3:0===e.transform.rCenter?1/3:1,g=r.interpolate(e.transform.rCenter,i.rCenter);return function(t){var e=l(t),n=u(t),r=d(t),a=function(t){return g(Math.pow(t,m))}(t),o={pxmid:Y(e,(n+r)/2),rpx1:e,transform:{textPosAngle:s(t),rCenter:a,x:i.x,y:i.y}};return 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a=n.texttemplate,s=n.textinfo;if(!(a||s&&\"none\"!==s))return\"\";var l=i.separators,c=t.data.data,u=r[0].hierarchy,h=_.isHierarchyRoot(t),d=_.getParent(u,t),f=_.getValue(t);if(!a){var p,m=s.split(\"+\"),g=function(t){return-1!==m.indexOf(t)},y=[];if(g(\"label\")&&c.label&&y.push(c.label),c.hasOwnProperty(\"v\")&&g(\"value\")&&y.push(_.formatValue(c.v,l)),!h){g(\"current path\")&&y.push(_.getPath(t.data));var v=0;g(\"percent parent\")&&v++,g(\"percent entry\")&&v++,g(\"percent root\")&&v++;var b=v>1;if(v){var x,w=function(t){p=_.formatPercent(x,l),b&&(p+=\" of \"+t),y.push(p)};g(\"percent parent\")&&!h&&(x=f/_.getValue(d),w(\"parent\")),g(\"percent entry\")&&(x=f/_.getValue(e),w(\"entry\")),g(\"percent root\")&&(x=f/_.getValue(u),w(\"root\"))}}return g(\"text\")&&(p=o.castOption(n,c.i,\"text\"),o.isValidTextValue(p)&&y.push(p)),y.join(\"<br>\")}var k=o.castOption(n,c.i,\"texttemplate\");if(!k)return\"\";var M={};c.label&&(M.label=c.label),c.hasOwnProperty(\"v\")&&(M.value=c.v,M.valueLabel=_.formatValue(c.v,l)),M.currentPath=_.getPath(t.data),h||(M.percentParent=f/_.getValue(d),M.percentParentLabel=_.formatPercent(M.percentParent,l),M.parent=_.getPtLabel(d)),M.percentEntry=f/_.getValue(e),M.percentEntryLabel=_.formatPercent(M.percentEntry,l),M.entry=_.getPtLabel(e),M.percentRoot=f/_.getValue(u),M.percentRootLabel=_.formatPercent(M.percentRoot,l),M.root=_.getPtLabel(u),c.hasOwnProperty(\"color\")&&(M.color=c.color);var T=o.castOption(n,c.i,\"text\");return(o.isValidTextValue(T)||\"\"===T)&&(M.text=T),M.customdata=o.castOption(n,c.i,\"customdata\"),o.texttemplateString(k,M,i._d3locale,M,n._meta||{})}},{\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/svg_text_utils\":803,\"../bar/style\":935,\"../bar/uniform_text\":937,\"../pie/helpers\":1166,\"../pie/plot\":1170,\"./constants\":1302,\"./fx\":1304,\"./helpers\":1305,\"./style\":1310,d3:169,\"d3-hierarchy\":161}],1310:[function(t,e,n){\"use strict\";var r=t(\"d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,n){var r=e.data.data,o=!e.children,s=r.i,l=a.castOption(n,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(n,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,r.color).call(i.stroke,l).style(\"opacity\",o?n.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=r.select(this),n=t[0].trace;e.style(\"opacity\",n.opacity),e.selectAll(\"path.surface\").each((function(t){r.select(this).call(s,t,n)}))}))},styleOne:s}},{\"../../components/color\":643,\"../../lib\":778,\"../bar/uniform_text\":937,d3:169}],1311:[function(t,e,n){\"use strict\";var r=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function 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0},{\"../../components/color\":643,\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":810,\"../../plots/attributes\":824,\"../../plots/template_attributes\":906}],1312:[function(t,e,n){\"use strict\";var r=t(\"../../components/colorscale/calc\");e.exports=function(t,e){r(t,e,e.surfacecolor?{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}:{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":651}],1313:[function(t,e,n){\"use strict\";var r=t(\"gl-surface3d\"),i=t(\"ndarray\"),a=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function d(t,e,n){this.scene=t,this.uid=n,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var f=d.prototype;f.getXat=function(t,e,n,r){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===n?i:r.d2l(i,0,n)},f.getYat=function(t,e,n,r){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===n?i:r.d2l(i,0,n)},f.getZat=function(t,e,n,r){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===n?i:r.d2l(i,0,n)},f.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round((t.data.index[0]-1)/this.dataScaleX-1),this.data.z[0].length-1),0),r=Math.max(Math.min(Math.round(e),this.data._ylength-1),0);t.index=[n,r],t.traceCoordinate=[this.getXat(n,r),this.getYat(n,r),this.getZat(n,r)],t.dataCoordinate=[this.getXat(n,r,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,r,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,r,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++)null!=t.dataCoordinate[i]&&(t.dataCoordinate[i]*=this.scene.dataScale[i]);var a=this.data.hovertext||this.data.text;return t.textLabel=Array.isArray(a)&&a[r]&&void 0!==a[r][n]?a[r][n]:a||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var p=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var n=0;0===Math.floor(t%e);)t/=e,n++;return n}function g(t){for(var e=[],n=0;n<p.length;n++)e.push(m(t,p[n]));return e}function y(t){for(var e=g(t),n=t,r=0;r<p.length;r++)if(e[r]>0){n=p[r];break}return n}function v(t,e){if(!(t<1||e<1)){for(var n=g(t),r=g(e),i=1,a=0;a<p.length;a++)i*=Math.pow(p[a],Math.max(n[a],r[a]));return i}}f.calcXnums=function(t){var e,n=[];for(e=1;e<t;e++){var r=this.getXat(e-1,0),i=this.getXat(e,0);n[e-1]=i!==r&&null!=r&&null!=i?Math.abs(i-r):0}var a=0;for(e=1;e<t;e++)a+=n[e-1];for(e=1;e<t;e++)n[e-1]=0===n[e-1]?1:Math.round(a/n[e-1]);return n},f.calcYnums=function(t){var e,n=[];for(e=1;e<t;e++){var r=this.getYat(0,e-1),i=this.getYat(0,e);n[e-1]=i!==r&&null!=r&&null!=i?Math.abs(i-r):0}var a=0;for(e=1;e<t;e++)a+=n[e-1];for(e=1;e<t;e++)n[e-1]=0===n[e-1]?1:Math.round(a/n[e-1]);return n};var _=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=_[9],x=_[13];function w(t,e,n){var r=n[8]+n[2]*e[0]+n[5]*e[1];return t[0]=(n[6]+n[0]*e[0]+n[3]*e[1])/r,t[1]=(n[7]+n[1]*e[0]+n[4]*e[1])/r,t}function k(t,e,n){return function(t,e,n,r){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)n(i,[l,c],r),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,n),t}function M(t,e){for(var n=!1,r=0;r<t.length;r++)if(e===t[r]){n=!0;break}!1===n&&t.push(e)}f.estimateScale=function(t,e){for(var n=1+function(t){if(0!==t.length){for(var e=1,n=0;n<t.length;n++)e=v(e,t[n]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));n<b;)n*=2;for(;n>x;)n--,n/=y(n),++n<b&&(n=x);var r=Math.round(n/t);return r>1?r:1},f.refineCoords=function(t){for(var e=this.dataScaleX,n=this.dataScaleY,r=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*n+1),l=1+r+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/n,0,0,0,1],d=0;d<t.length;++d){this.surface.padField(u,t[d]);var f=i(new Float32Array(o*s),[o,s]);k(f,u,h),t[d]=f}},f.setContourLevels=function(){var t,e,n=[[],[],[]],r=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(r[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])M(n[t],e*this.scene.dataScale[t]);if(i){var a=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(a[t]=r[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:a})}},f.update=function(t){var e,n,r,a,l=this.scene,d=l.fullSceneLayout,f=this.surface,p=c(t),m=l.dataScale,g=t.z[0].length,y=t._ylength,v=l.contourLevels;this.data=t;var _=[];for(e=0;e<3;e++)for(_[e]=[],n=0;n<g;n++)_[e][n]=[];for(n=0;n<g;n++)for(r=0;r<y;r++)_[0][n][r]=this.getXat(n,r,t.xcalendar,d.xaxis),_[1][n][r]=this.getYat(n,r,t.ycalendar,d.yaxis),_[2][n][r]=this.getZat(n,r,t.zcalendar,d.zaxis);if(t.connectgaps)for(t._emptypoints=s(_[2]),o(_[2],t._emptypoints),t._interpolatedZ=[],n=0;n<g;n++)for(t._interpolatedZ[n]=[],r=0;r<y;r++)t._interpolatedZ[n][r]=_[2][n][r];for(e=0;e<3;e++)for(n=0;n<g;n++)for(r=0;r<y;r++)null==(a=_[e][n][r])?_[e][n][r]=NaN:a=_[e][n][r]*=m[e];for(e=0;e<3;e++)for(n=0;n<g;n++)for(r=0;r<y;r++)null!=(a=_[e][n][r])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(n=0;n<g;n++)for(r=0;r<y;r++)null!=(a=_[e][n][r])&&(_[e][n][r]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(n=0;n<g;n++)for(r=0;r<y;r++)b[e].set(n,r,_[e][n][r]);_=[];var w={colormap:p,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},k=h(t);if(w.intensityBounds=[k.min,k.max],t.surfacecolor){var M=i(new Float32Array(g*y),[g,y]);for(n=0;n<g;n++)for(r=0;r<y;r++)M.set(n,r,t.surfacecolor[r][n]);b.push(M)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(x<b[0].shape[0]||x<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var T=[!0,!0,!0],S=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var A=t.contours[S[e]];T[e]=A.highlight,w.showContour[e]=A.show||A.highlight,w.showContour[e]&&(w.contourProject[e]=[A.project.x,A.project.y,A.project.z],A.show?(this.showContour[e]=!0,w.levels[e]=v[e],f.highlightColor[e]=w.contourColor[e]=u(A.color),f.highlightTint[e]=w.contourTint[e]=A.usecolormap?0:1,w.contourWidth[e]=A.width,this.contourStart[e]=A.start,this.contourEnd[e]=A.end,this.contourSize[e]=A.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),A.highlight&&(w.dynamicColor[e]=u(A.highlightcolor),w.dynamicWidth[e]=A.highlightwidth))}(function(t){var e=t[0].rgb,n=t[t.length-1].rgb;return e[0]===n[0]&&e[1]===n[1]&&e[2]===n[2]&&e[3]===n[3]})(p)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,f.update(w),f.visible=t.visible,f.enableDynamic=T,f.enableHighlight=T,f.snapToData=!0,\"lighting\"in t&&(f.ambientLight=t.lighting.ambient,f.diffuseLight=t.lighting.diffuse,f.specularLight=t.lighting.specular,f.roughness=t.lighting.roughness,f.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(f.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},f.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var n=r({gl:t.glplot.gl}),i=new d(t,n,e.uid);return n._trace=i,i.update(e),t.glplot.add(n),i}},{\"../../components/colorscale\":655,\"../../lib\":778,\"../../lib/gl_format_color\":774,\"../../lib/str2rgbarray\":802,\"../heatmap/find_empties\":1071,\"../heatmap/interp2d\":1074,\"gl-surface3d\":351,ndarray:495,\"ndarray-linear-interpolate\":489}],1314:[function(t,e,n){\"use strict\";var r=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,n,r){var i=r(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var n=[],r=0;r<32;r++){var i=r/31,a=.1+.9*(1-Math.pow(Math.sin(1*i*Math.PI),2));n.push([i,Math.max(0,Math.min(1,a))])}return n}():function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var n=0;n<t.length;n++){var r=t[n];if(2!==r.length||+r[0]<e)return!1;e=+r[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,n){e in t&&!(n in t)&&(t[n]=t[e])}e.exports={supplyDefaults:function(t,e,n,c){var u,h;function d(n,r){return i.coerce(t,e,o,n,r)}var 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v=\"contours.\"+y[u],_=d(v+\".show\"),b=d(v+\".highlight\");if(_||b)for(h=0;h<3;++h)d(v+\".project.\"+y[h]);_&&(d(v+\".color\"),d(v+\".width\"),d(v+\".usecolormap\")),b&&(d(v+\".highlightcolor\"),d(v+\".highlightwidth\")),d(v+\".start\"),d(v+\".end\"),d(v+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,c,d,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,d),e._length=null}},opacityscaleDefaults:s}},{\"../../components/colorscale/defaults\":653,\"../../lib\":778,\"../../registry\":911,\"./attributes\":1311}],1315:[function(t,e,n){\"use 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r=t(\"../../components/annotations/attributes\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../plots/domain\").attributes;t(\"../../constants/docs\"),(e.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[]},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},r.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[]},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:20},align:i({},r.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))}},\"calc\",\"from-root\")).transforms=void 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1320:[function(t,e,n){\"use strict\";var r=t(\"./constants\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,n=0;n<t.length;n++)e=Math.max(e,o(t[n]));return e}return t}function s(t,e){return t+e}function l(t){var e,n=t.slice(),r=1/0,i=0;for(e=0;e<n.length;e++)Array.isArray(n[e])||(n[e]=[n[e]]),r=Math.min(r,n[e].length),i=Math.max(i,n[e].length);if(r!==i)for(e=0;e<n.length;e++){var a=i-n[e].length;a&&(n[e]=n[e].concat(c(a)))}return n}function c(t){for(var e=new Array(t),n=0;n<t;n++)e[n]=\"\";return e}function u(t){return t.calcdata.columns.reduce((function(e,n){return n.xIndex<t.xIndex?e+n.columnWidth:e}),0)}function h(t,e){return Object.keys(t).map((function(n){return i({},t[n],{auxiliaryBlocks:e})}))}function d(t,e){for(var n,r={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)o.rows.push({rowIndex:c,rowHeight:n=t[c]}),((a+=n)>=e||c===t.length-1)&&(r[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return r}e.exports=function(t,e){var n=l(e.cells.values),f=function(t){return t.slice(e.header.values.length,t.length)},p=l(e.header.values);p.length&&!p[0].length&&(p[0]=[\"\"],p=l(p));var 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C=Math.max(o(e.header.line.width),o(e.cells.line.width)),E={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:C,height:v,columnOrder:S,groupHeight:v,rowBlocks:M,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:n}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){return T[t]=(T[t]||0)+1,{key:t+\"__\"+T[t],label:t,specIndex:e,xIndex:S[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:A[e]}}))};return E.columns.forEach((function(t){t.calcdata=E,t.x=u(t)})),E}},{\"../../lib/extend\":768,\"./constants\":1319,\"fast-isnumeric\":241}],1321:[function(t,e,n){\"use strict\";var r=t(\"../../lib/extend\").extendFlat;n.splitToPanels=function(t){var e=[0,0],n=r({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:r({},t.calcdata,{cells:t.calcdata.headerCells})});return[r({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n]},n.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],n=e?e.rows[0].rowIndex:0;return[n,e?n+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(n,r){return{keyWithinBlock:r+(\"string\"==typeof n&&n.match(/[<$&> 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i.indexOf(t)})),o=a.length;o<n;o++)a.push(o);e(\"columnorder\",a)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),r.coerceFont(s,\"cells.font\",r.extendFlat({},o.font)),e._length=null}},{\"../../lib\":778,\"../../plots/domain\":855,\"./attributes\":1316}],1323:[function(t,e,n){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1316,\"./base_plot\":1317,\"./calc\":1318,\"./defaults\":1322,\"./plot\":1324}],1324:[function(t,e,n){\"use strict\";var r=t(\"./constants\"),i=t(\"d3\"),a=t(\"../../lib/gup\"),o=t(\"../../components/drawing\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../../lib\").raiseToTop,c=t(\"../../lib\").strTranslate,u=t(\"../../lib\").cancelTransition,h=t(\"./data_preparation_helper\"),d=t(\"./data_split_helpers\"),f=t(\"../../components/color\");function p(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function v(t,e,n){var o=t.selectAll(\".\"+r.cn.scrollbarKit).data(a.repeat,a.keyFun);o.enter().append(\"g\").classed(r.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),o.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return P(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,r.goldenRatio*r.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){return c(t.width+r.scrollbarWidth/2+r.scrollbarOffset,S(t))}));var s=o.selectAll(\".\"+r.cn.scrollbar).data(a.repeat,a.keyFun);s.enter().append(\"g\").classed(r.cn.scrollbar,!0);var l=s.selectAll(\".\"+r.cn.scrollbarSlider).data(a.repeat,a.keyFun);l.enter().append(\"g\").classed(r.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var 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r=t(\"d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),d=t(\"../sunburst/plot\").formatSliceLabel,f=!1;e.exports=function(t,e,n,p,m){var g=m.width,y=m.height,v=m.viewX,_=m.viewY,b=m.pathSlice,x=m.toMoveInsideSlice,w=m.strTransform,k=m.hasTransition,M=m.handleSlicesExit,T=m.makeUpdateSliceInterpolator,S=m.makeUpdateTextInterpolator,A=m.prevEntry,L=t._fullLayout,C=e[0].trace,E=-1!==C.textposition.indexOf(\"left\"),O=-1!==C.textposition.indexOf(\"right\"),D=-1!==C.textposition.indexOf(\"bottom\"),I=!D&&!C.marker.pad.t||D&&!C.marker.pad.b,P=s(n,[g,y],{packing:C.tiling.packing,squarifyratio:C.tiling.squarifyratio,flipX:C.tiling.flip.indexOf(\"x\")>-1,flipY:C.tiling.flip.indexOf(\"y\")>-1,pad:{inner:C.tiling.pad,top:C.marker.pad.t,left:C.marker.pad.l,right:C.marker.pad.r,bottom:C.marker.pad.b}}).descendants(),R=1/0,z=-1/0;P.forEach((function(t){var e=t.depth;e>=C._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(R=Math.min(R,e),z=Math.max(z,e))})),p=p.data(P,u.getPtId),C._maxVisibleLayers=isFinite(z)?z-R+1:0,p.enter().append(\"g\").classed(\"slice\",!0),M(p,f,{},[g,y],b),p.order();var j=null;if(k&&A){var 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e=t._fullLayout._treemaplayer.selectAll(\".trace\");s(t,e,\"treemap\"),e.each((function(t){var e=r.select(this),n=t[0].trace;e.style(\"opacity\",n.opacity),e.selectAll(\"path.surface\").each((function(t){r.select(this).call(l,t,n,{hovered:!1})}))}))},styleOne:l}},{\"../../components/color\":643,\"../../lib\":778,\"../bar/uniform_text\":937,\"../sunburst/helpers\":1305,d3:169}],1338:[function(t,e,n){\"use strict\";var 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e=t.slice();return t=>e.reduce((t,e)=>t&&t[e],t)}(t):function(t){const e=t;let n=\"store.\"+e[0],r=0;const i=e.length;let a=n;for(;++r<i;)a=a+\" && \"+(n=n+\".\"+e[r]);return new Function(\"store\",\"return \"+a+\";\")}(t)}function K(t,e){const n=V(e.currentAppState,t.path),r=V(e.newAppState,t.path);return new F(n,r,!t.isInitialised)}function $(...t){return function(t,e,n=Q){const r=t.reduce((t,e)=>(t[B(e)]=!0,t),{}),i=e&&function(t){return t.reduce((t,e)=>(t[e]=!0,t),{})}(e);return function(t){return t.pipe(function(t,e){return Object(m.a)(n=>{const r=B(n.action);return t[r]&&(!e||e[n.status])})}(r,i),n())}}(t,[\"DISPATCHED\"])}function Q(){return Object(g.a)(t=>t.action)}function tt(t){return e=>new o.a(n=>e.subscribe({next(e){t.leave(()=>n.next(e))},error(e){t.leave(()=>n.error(e))},complete(){t.leave(()=>n.complete())}}))}let et=(()=>{class t{constructor(t){this._executionStrategy=t}enter(t){return this._executionStrategy.enter(t)}leave(t){return this._executionStrategy.leave(t)}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(N))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})();class nt extends s.a{constructor(){super(...arguments),this._itemQueue=[],this._busyPushingNext=!1}next(t){if(this._busyPushingNext)this._itemQueue.unshift(t);else{for(this._busyPushingNext=!0,super.next(t);this._itemQueue.length>0;){const t=this._itemQueue.pop();super.next(t)}this._busyPushingNext=!1}}}let rt=(()=>{class t extends nt{}return t.\\u0275fac=function(e){return it(e||t)},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})();const it=r.fc(rt);let at=(()=>{class t extends o.a{constructor(t,e){super(n=>{const r=t.pipe(tt(e)).subscribe({next:t=>n.next(t),error:t=>n.error(t),complete:()=>n.complete()});n.add(r)})}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(rt),r.hc(et))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})();const ot=t=>(...e)=>t.shift()(...e,(...e)=>ot(t)(...e));let st=(()=>{class t extends l.a{constructor(){super({})}}return t.\\u0275fac=function(e){return new(e||t)},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})(),lt=(()=>{class t{constructor(t,e){this._parentManager=t,this._pluginHandlers=e,this.plugins=[],this.registerHandlers()}get rootPlugins(){return this._parentManager&&this._parentManager.plugins||this.plugins}registerHandlers(){const t=this.getPluginHandlers();this.rootPlugins.push(...t)}getPluginHandlers(){return(this._pluginHandlers||[]).map(t=>t.handle?t.handle.bind(t):t)}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(t,12),r.hc(D,8))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})(),ct=(()=>{class t extends s.a{}return t.\\u0275fac=function(e){return ut(e||t)},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})();const ut=r.fc(ct);let ht=(()=>{class t{constructor(t,e,n,r,i,a){this._errorHandler=t,this._actions=e,this._actionResults=n,this._pluginManager=r,this._stateStream=i,this._ngxsExecutionStrategy=a}dispatch(t){const e=this._ngxsExecutionStrategy.enter(()=>this.dispatchByEvents(t));return e.subscribe({error:t=>this._ngxsExecutionStrategy.leave(()=>{try{this._errorHandler.handleError(t)}catch(e){}})}),e.pipe(tt(this._ngxsExecutionStrategy))}dispatchByEvents(t){return Array.isArray(t)?0===t.length?Object(c.a)(this._stateStream.getValue()):Object(u.a)(t.map(t=>this.dispatchSingle(t))):this.dispatchSingle(t)}dispatchSingle(t){if(!B(t)){const e=new Error(\"This action doesn't have a type property: \"+t.constructor.name);return Object(h.a)(e)}const e=this._stateStream.getValue();return ot([...this._pluginManager.plugins,(t,n)=>{t!==e&&this._stateStream.next(t);const r=this.getActionResultStream(n);return r.subscribe(t=>this._actions.next(t)),this._actions.next({action:n,status:\"DISPATCHED\"}),this.createDispatchObservable(r)}])(e,t).pipe(Object(y.a)())}getActionResultStream(t){return this._actionResults.pipe(Object(m.a)(e=>e.action===t&&\"DISPATCHED\"!==e.status),Object(v.a)(1),Object(y.a)())}createDispatchObservable(t){return t.pipe(function t(e,n){return n?r=>r.pipe(t((t,r)=>Object(f.a)(e(t,r)).pipe(Object(g.a)((e,i)=>n(t,e,r,i))))):t=>t.lift(new b(e))}(t=>{switch(t.status){case\"SUCCESSFUL\":return Object(c.a)(this._stateStream.getValue());case\"ERRORED\":return Object(h.a)(t.error);default:return d.a}})).pipe(Object(y.a)())}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(r.r),r.hc(rt),r.hc(ct),r.hc(lt),r.hc(st),r.hc(et))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})();const dt=t=>{Object.freeze(t);const e=\"function\"==typeof t,n=Object.prototype.hasOwnProperty;return Object.getOwnPropertyNames(t).forEach((function(r){!n.call(t,r)||e&&(\"caller\"===r||\"callee\"===r||\"arguments\"===r)||null===t[r]||\"object\"!=typeof t[r]&&\"function\"!=typeof t[r]||Object.isFrozen(t[r])||dt(t[r])})),t};let ft=(()=>{class t{constructor(t,e){this.isDevMode=t,this.isTestMode=e}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(P),r.hc(I))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})(),pt=(()=>{class t{constructor(t,e){this._host=t,this._config=e}get isIncorrectProduction(){return!this._host.isDevMode()&&this._config.developmentMode}get isIncorrectDevelopment(){return this._host.isDevMode()&&!this._config.developmentMode}verifyDevMode(){this._host.isTestMode()||(this.isIncorrectProduction?console.warn(L.INCORRECT_PRODUCTION()):this.isIncorrectDevelopment&&console.warn(L.INCORRECT_DEVELOPMENT()))}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(ft),r.hc(j))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})(),mt=(()=>{class t{constructor(t,e,n,r){this._stateStream=t,this._dispatcher=e,this._config=n,r.verifyDevMode()}getRootStateOperations(){const t={getState:()=>this._stateStream.getValue(),setState:t=>this._stateStream.next(t),dispatch:t=>this._dispatcher.dispatch(t)};return this._config.developmentMode?this.ensureStateAndActionsAreImmutable(t):t}ensureStateAndActionsAreImmutable(t){return{getState:()=>t.getState(),setState:e=>{const n=dt(e);return t.setState(n)},dispatch:e=>t.dispatch(e)}}setStateToTheCurrentWithNew(t){const e=this.getRootStateOperations(),n=e.getState();e.setState(Object.assign({},n,t.defaults))}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(st),r.hc(ht),r.hc(j),r.hc(pt))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})(),gt=(()=>{class t{constructor(t){this._internalStateOperations=t}createStateContext(t){const e=this._internalStateOperations.getRootStateOperations();function n(e){return V(e,t.path)}function r(n,r){const i=H(n,t.path,r),a=t.instance;if(a.ngxsOnChanges){const e=K(t,{currentAppState:n,newAppState:i});a.ngxsOnChanges(e)}return e.setState(i),i}function i(t,e){return r(t,e(n(t)))}return{getState:()=>n(e.getState()),patchState:t=>i(e.getState(),function(t){return e=>{if(Array.isArray(t))throw new 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t)if(t.hasOwnProperty(r)&&t[r].indexOf(e)>=0){const e=n(t,r);return null!==e?`${e}.${r}`:r}return null};for(const r in t)if(t.hasOwnProperty(r)){const i=n(t,r);e[r]=i?`${i}.${r}`:r}return e}(r),o=n.reduce((t,e)=>(t[e.NGXS_META.name]=e,t),{}),s=[];for(const l of i){const e=o[l],n=a[l],r=e.NGXS_META;this.addRuntimeInfoToMeta(r,n);const i={name:l,path:n,isInitialised:!1,actions:r.actions,instance:this._injector.get(e),defaults:t.cloneDefaults(r.defaults)};this.hasBeenMountedAndBootstrapped(l,n)||s.push(i),this.states.push(i)}return s}addAndReturnDefaults(t){const 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r.length||r.push(Object(c.a)({})),Object(u.a)(r)}addToStatesMap(t){const e=[],n=this.statesByName;for(const r of t){const t=yt.checkStateNameIsUnique(r,n);!n[t]&&(e.push(r),n[t]=r)}return{newStates:e}}addRuntimeInfoToMeta(t,e){this.statePaths[t.name]=e,t.path=e}hasBeenMountedAndBootstrapped(t,e){const n=void 0!==V(this._initialState,e);return this.statesByName[t]&&n}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(r.x),r.hc(j),r.hc(t,12),r.hc(rt),r.hc(ct),r.hc(gt),r.hc(i.a,8))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})(),_t=(()=>{class t{constructor(t,e,n){this.internalStateOperations=t,this.stateContextFactory=e,this.bootstrapper=n}ngxsBootstrap(t,e){this.internalStateOperations.getRootStateOperations().dispatch(t).pipe(Object(m.a)(()=>!!e),Object(S.a)(()=>this.invokeInit(e.states)),Object(w.a)(()=>this.bootstrapper.appBootstrapped$),Object(m.a)(t=>!!t)).subscribe(()=>this.invokeBootstrap(e.states))}invokeInit(t){for(const e of t){const t=e.instance;if(t.ngxsOnChanges){const n=K(e,{currentAppState:{},newAppState:this.internalStateOperations.getRootStateOperations().getState()});t.ngxsOnChanges(n)}t.ngxsOnInit&&t.ngxsOnInit(this.getStateContext(e)),e.isInitialised=!0}}invokeBootstrap(t){for(const e of t){const t=e.instance;t.ngxsAfterBootstrap&&t.ngxsAfterBootstrap(this.getStateContext(e))}}getStateContext(t){return this.stateContextFactory.createStateContext(t)}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(mt),r.hc(gt),r.hc(i.e))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})();const bt=t=>t&&t.NGXS_SELECTOR_OPTIONS_META||{};function xt(t){const e=Z(t)||G(t);return e&&e.makeRootSelector||(()=>t)}let wt=(()=>{class t{constructor(t,e,n,r,i,a){this._stateStream=t,this._internalStateOperations=e,this._config=n,this._internalExecutionStrategy=r,this._stateFactory=i,this.initStateStream(a)}dispatch(t){return this._internalStateOperations.getRootStateOperations().dispatch(t)}select(t){const e=this.getStoreBoundSelectorFn(t);return this._stateStream.pipe(Object(g.a)(e),Object(M.a)(t=>{const{suppressErrors:e}=this._config.selectorOptions;return t instanceof TypeError&&e?Object(c.a)(void 0):Object(h.a)(t)}),Object(A.a)(),tt(this._internalExecutionStrategy))}selectOnce(t){return this.select(t).pipe(Object(v.a)(1))}selectSnapshot(t){return this.getStoreBoundSelectorFn(t)(this._stateStream.getValue())}subscribe(t){return this._stateStream.pipe(tt(this._internalExecutionStrategy)).subscribe(t)}snapshot(){return this._internalStateOperations.getRootStateOperations().getState()}reset(t){return this._internalStateOperations.getRootStateOperations().setState(t)}getStoreBoundSelectorFn(t){return xt(t)(this._stateFactory.getRuntimeSelectorContext())}initStateStream(t){const e=this._stateStream.value;if(!e||0===Object.keys(e).length){const e=Object.keys(this._config.defaultsState).length>0?Object.assign({},this._config.defaultsState,t):t;this._stateStream.next(e)}}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(st),r.hc(mt),r.hc(j),r.hc(et),r.hc(vt),r.hc(i.a,8))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t})(),kt=(()=>{class t{constructor(e,n){t.store=e,t.config=n}ngOnDestroy(){t.store=null,t.config=null}}return t.\\u0275fac=function(e){return new(e||t)(r.hc(wt),r.hc(j))},t.\\u0275prov=r.Tb({token:t,factory:t.\\u0275fac}),t.store=null,t.config=null,t})();class Mt{static get type(){return\"@@INIT\"}}class Tt{constructor(t){this.addedStates=t}static get type(){return\"@@UPDATE_STATE\"}}const St=new p.a(1);let At=(()=>{class t{constructor(t,e,n,i,a=[],o){!function(){try{const t=window.ng,e=!(t.probe&&t.coreTokens)&&Object(r.gb)();St.next(e)}catch(t){St.next(!1)}finally{St.complete()}}();const s=t.addAndReturnDefaults(a);e.setStateToTheCurrentWithNew(s),t.connectActionHandlers(),o.ngxsBootstrap(new Mt,s)}}return t.\\u0275mod=r.Vb({type:t}),t.\\u0275inj=r.Ub({factory:function(e){return new(e||t)(r.hc(vt),r.hc(mt),r.hc(wt),r.hc(kt),r.hc(E,8),r.hc(_t))}}),t})(),Lt=(()=>{class t{constructor(e,n,r,i=[],a){const o=t.flattenStates(i),s=r.addAndReturnDefaults(o);s.states.length&&(n.setStateToTheCurrentWithNew(s),a.ngxsBootstrap(new Tt(s.defaults),s))}static flattenStates(t=[]){return t.reduce((t,e)=>t.concat(e),[])}}return t.\\u0275mod=r.Vb({type:t}),t.\\u0275inj=r.Ub({factory:function(e){return new(e||t)(r.hc(wt),r.hc(mt),r.hc(vt),r.hc(O,8),r.hc(_t))}}),t})(),Ct=(()=>{class t{static forRoot(e=[],n={}){return{ngModule:At,providers:[vt,gt,at,rt,i.e,pt,ft,_t,ht,ct,mt,et,wt,st,kt,lt,...e,...t.ngxsTokenProviders(e,n)]}}static forFeature(t=[]){return{ngModule:Lt,providers:[vt,lt,...t,{provide:O,multi:!0,useValue:t}]}}static 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strict\";t.defineLocale(\"zh-mo\",{months:\"\\u4e00\\u6708_\\u4e8c\\u6708_\\u4e09\\u6708_\\u56db\\u6708_\\u4e94\\u6708_\\u516d\\u6708_\\u4e03\\u6708_\\u516b\\u6708_\\u4e5d\\u6708_\\u5341\\u6708_\\u5341\\u4e00\\u6708_\\u5341\\u4e8c\\u6708\".split(\"_\"),monthsShort:\"1\\u6708_2\\u6708_3\\u6708_4\\u6708_5\\u6708_6\\u6708_7\\u6708_8\\u6708_9\\u6708_10\\u6708_11\\u6708_12\\u6708\".split(\"_\"),weekdays:\"\\u661f\\u671f\\u65e5_\\u661f\\u671f\\u4e00_\\u661f\\u671f\\u4e8c_\\u661f\\u671f\\u4e09_\\u661f\\u671f\\u56db_\\u661f\\u671f\\u4e94_\\u661f\\u671f\\u516d\".split(\"_\"),weekdaysShort:\"\\u9031\\u65e5_\\u9031\\u4e00_\\u9031\\u4e8c_\\u9031\\u4e09_\\u9031\\u56db_\\u9031\\u4e94_\\u9031\\u516d\".split(\"_\"),weekdaysMin:\"\\u65e5_\\u4e00_\\u4e8c_\\u4e09_\\u56db_\\u4e94_\\u516d\".split(\"_\"),longDateFormat:{LT:\"HH:mm\",LTS:\"HH:mm:ss\",L:\"DD/MM/YYYY\",LL:\"YYYY\\u5e74M\\u6708D\\u65e5\",LLL:\"YYYY\\u5e74M\\u6708D\\u65e5 HH:mm\",LLLL:\"YYYY\\u5e74M\\u6708D\\u65e5dddd 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t+\"\\u65e5\";case\"M\":return t+\"\\u6708\";case\"w\":case\"W\":return t+\"\\u9031\";default:return t}},relativeTime:{future:\"%s\\u5167\",past:\"%s\\u524d\",s:\"\\u5e7e\\u79d2\",ss:\"%d \\u79d2\",m:\"1 \\u5206\\u9418\",mm:\"%d \\u5206\\u9418\",h:\"1 \\u5c0f\\u6642\",hh:\"%d \\u5c0f\\u6642\",d:\"1 \\u5929\",dd:\"%d \\u5929\",M:\"1 \\u500b\\u6708\",MM:\"%d \\u500b\\u6708\",y:\"1 \\u5e74\",yy:\"%d \\u5e74\"}})}(n(\"wd/R\"))},Oxv6:function(t,e,n){!function(t){\"use strict\";var e={0:\"-\\u0443\\u043c\",1:\"-\\u0443\\u043c\",2:\"-\\u044e\\u043c\",3:\"-\\u044e\\u043c\",4:\"-\\u0443\\u043c\",5:\"-\\u0443\\u043c\",6:\"-\\u0443\\u043c\",7:\"-\\u0443\\u043c\",8:\"-\\u0443\\u043c\",9:\"-\\u0443\\u043c\",10:\"-\\u0443\\u043c\",12:\"-\\u0443\\u043c\",13:\"-\\u0443\\u043c\",20:\"-\\u0443\\u043c\",30:\"-\\u044e\\u043c\",40:\"-\\u0443\\u043c\",50:\"-\\u0443\\u043c\",60:\"-\\u0443\\u043c\",70:\"-\\u0443\\u043c\",80:\"-\\u0443\\u043c\",90:\"-\\u0443\\u043c\",100:\"-\\u0443\\u043c\"};t.defineLocale(\"tg\",{months:{format:\"\\u044f\\u043d\\u0432\\u0430\\u0440\\u0438_\\u0444\\u0435\\u0432\\u0440\\u0430\\u043b\\u0438_\\u043c\\u0430\\u0440\\u0442\\u0438_\\u0430\\u043f\\u0440\\u0435\\u043b\\u0438_\\u043c\\u0430\\u0439\\u0438_\\u0438\\u044e\\u043d\\u0438_\\u0438\\u044e\\u043b\\u0438_\\u0430\\u0432\\u0433\\u0443\\u0441\\u0442\\u0438_\\u0441\\u0435\\u043d\\u0442\\u044f\\u0431\\u0440\\u0438_\\u043e\\u043a\\u0442\\u044f\\u0431\\u0440\\u0438_\\u043d\\u043e\\u044f\\u0431\\u0440\\u0438_\\u0434\\u0435\\u043a\\u0430\\u0431\\u0440\\u0438\".split(\"_\"),standalone:\"\\u044f\\u043d\\u0432\\u0430\\u0440_\\u0444\\u0435\\u0432\\u0440\\u0430\\u043b_\\u043c\\u0430\\u0440\\u0442_\\u0430\\u043f\\u0440\\u0435\\u043b_\\u043c\\u0430\\u0439_\\u0438\\u044e\\u043d_\\u0438\\u044e\\u043b_\\u0430\\u0432\\u0433\\u0443\\u0441\\u0442_\\u0441\\u0435\\u043d\\u0442\\u044f\\u0431\\u0440_\\u043e\\u043a\\u0442\\u044f\\u0431\\u0440_\\u043d\\u043e\\u044f\\u0431\\u0440_\\u0434\\u0435\\u043a\\u0430\\u0431\\u0440\".split(\"_\")},monthsShort:\"\\u044f\\u043d\\u0432_\\u0444\\u0435\\u0432_\\u043c\\u0430\\u0440_\\u0430\\u043f\\u0440_\\u043c\\u0430\\u0439_\\u0438\\u044e\\u043d_\\u0438\\u044e\\u043b_\\u0430\\u0432\\u0433_\\u0441\\u0435\\u043d_\\u043e\\u043a\\u0442_\\u043d\\u043e\\u044f_\\u0434\\u0435\\u043a\".split(\"_\"),weekdays:\"\\u044f\\u043a\\u0448\\u0430\\u043d\\u0431\\u0435_\\u0434\\u0443\\u0448\\u0430\\u043d\\u0431\\u0435_\\u0441\\u0435\\u0448\\u0430\\u043d\\u0431\\u0435_\\u0447\\u043e\\u0440\\u0448\\u0430\\u043d\\u0431\\u0435_\\u043f\\u0430\\u043d\\u04b7\\u0448\\u0430\\u043d\\u0431\\u0435_\\u04b7\\u0443\\u043c\\u044a\\u0430_\\u0448\\u0430\\u043d\\u0431\\u0435\".split(\"_\"),weekdaysShort:\"\\u044f\\u0448\\u0431_\\u0434\\u0448\\u0431_\\u0441\\u0448\\u0431_\\u0447\\u0448\\u0431_\\u043f\\u0448\\u0431_\\u04b7\\u0443\\u043c_\\u0448\\u043d\\u0431\".split(\"_\"),weekdaysMin:\"\\u044f\\u0448_\\u0434\\u0448_\\u0441\\u0448_\\u0447\\u0448_\\u043f\\u0448_\\u04b7\\u043c_\\u0448\\u0431\".split(\"_\"),longDateFormat:{LT:\"HH:mm\",LTS:\"HH:mm:ss\",L:\"DD.MM.YYYY\",LL:\"D MMMM YYYY\",LLL:\"D MMMM YYYY HH:mm\",LLLL:\"dddd, D MMMM YYYY HH:mm\"},calendar:{sameDay:\"[\\u0418\\u043c\\u0440\\u04ef\\u0437 \\u0441\\u043e\\u0430\\u0442\\u0438] LT\",nextDay:\"[\\u0424\\u0430\\u0440\\u0434\\u043e \\u0441\\u043e\\u0430\\u0442\\u0438] LT\",lastDay:\"[\\u0414\\u0438\\u0440\\u04ef\\u0437 \\u0441\\u043e\\u0430\\u0442\\u0438] LT\",nextWeek:\"dddd[\\u0438] [\\u04b3\\u0430\\u0444\\u0442\\u0430\\u0438 \\u043e\\u044f\\u043d\\u0434\\u0430 \\u0441\\u043e\\u0430\\u0442\\u0438] LT\",lastWeek:\"dddd[\\u0438] [\\u04b3\\u0430\\u0444\\u0442\\u0430\\u0438 \\u0433\\u0443\\u0437\\u0430\\u0448\\u0442\\u0430 \\u0441\\u043e\\u0430\\u0442\\u0438] LT\",sameElse:\"L\"},relativeTime:{future:\"\\u0431\\u0430\\u044a\\u0434\\u0438 %s\",past:\"%s \\u043f\\u0435\\u0448\",s:\"\\u044f\\u043a\\u0447\\u0430\\u043d\\u0434 \\u0441\\u043e\\u043d\\u0438\\u044f\",m:\"\\u044f\\u043a \\u0434\\u0430\\u049b\\u0438\\u049b\\u0430\",mm:\"%d \\u0434\\u0430\\u049b\\u0438\\u049b\\u0430\",h:\"\\u044f\\u043a 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t{constructor(t,e,n,r,i,a,o,s,l,c,h,d){this._overlay=t,this._elementRef=e,this._scrollDispatcher=n,this._viewContainerRef=r,this._ngZone=i,this._platform=a,this._ariaDescriber=o,this._focusMonitor=s,this._dir=c,this._defaultOptions=h,this._position=\"below\",this._disabled=!1,this._viewInitialized=!1,this._pointerExitEventsInitialized=!1,this.showDelay=this._defaultOptions.showDelay,this.hideDelay=this._defaultOptions.hideDelay,this.touchGestures=\"auto\",this._message=\"\",this._passiveListeners=[],this._destroyed=new p.a,this._handleKeydown=t=>{this._isTooltipVisible()&&t.keyCode===u.f&&!Object(u.r)(t)&&(t.preventDefault(),t.stopPropagation(),this._ngZone.run(()=>this.hide(0)))},this._scrollStrategy=l,h&&(h.position&&(this.position=h.position),h.touchGestures&&(this.touchGestures=h.touchGestures)),i.runOutsideAngular(()=>{e.nativeElement.addEventListener(\"keydown\",this._handleKeydown)})}get position(){return this._position}set position(t){t!==this._position&&(this._position=t,this._overlayRef&&(this._updatePosition(),this._tooltipInstance&&this._tooltipInstance.show(0),this._overlayRef.updatePosition()))}get disabled(){return this._disabled}set disabled(t){this._disabled=Object(c.c)(t),this._disabled?this.hide(0):this._setupPointerEnterEventsIfNeeded()}get message(){return this._message}set message(t){this._ariaDescriber.removeDescription(this._elementRef.nativeElement,this._message,\"tooltip\"),this._message=null!=t?String(t).trim():\"\",!this._message&&this._isTooltipVisible()?this.hide(0):(this._setupPointerEnterEventsIfNeeded(),this._updateTooltipMessage(),this._ngZone.runOutsideAngular(()=>{Promise.resolve().then(()=>{this._ariaDescriber.describe(this._elementRef.nativeElement,this.message,\"tooltip\")})}))}get tooltipClass(){return this._tooltipClass}set tooltipClass(t){this._tooltipClass=t,this._tooltipInstance&&this._setTooltipClass(this._tooltipClass)}ngAfterViewInit(){this._viewInitialized=!0,this._setupPointerEnterEventsIfNeeded(),this._focusMonitor.monitor(this._elementRef).pipe(Object(m.a)(this._destroyed)).subscribe(t=>{t?\"keyboard\"===t&&this._ngZone.run(()=>this.show()):this._ngZone.run(()=>this.hide(0))})}ngOnDestroy(){const t=this._elementRef.nativeElement;clearTimeout(this._touchstartTimeout),this._overlayRef&&(this._overlayRef.dispose(),this._tooltipInstance=null),t.removeEventListener(\"keydown\",this._handleKeydown),this._passiveListeners.forEach(([e,n])=>{t.removeEventListener(e,n,b)}),this._passiveListeners.length=0,this._destroyed.next(),this._destroyed.complete(),this._ariaDescriber.removeDescription(t,this.message,\"tooltip\"),this._focusMonitor.stopMonitoring(t)}show(t=this.showDelay){if(this.disabled||!this.message||this._isTooltipVisible()&&!this._tooltipInstance._showTimeoutId&&!this._tooltipInstance._hideTimeoutId)return;const e=this._createOverlay();this._detach(),this._portal=this._portal||new f.d(T,this._viewContainerRef),this._tooltipInstance=e.attach(this._portal).instance,this._tooltipInstance.afterHidden().pipe(Object(m.a)(this._destroyed)).subscribe(()=>this._detach()),this._setTooltipClass(this._tooltipClass),this._updateTooltipMessage(),this._tooltipInstance.show(t)}hide(t=this.hideDelay){this._tooltipInstance&&this._tooltipInstance.hide(t)}toggle(){this._isTooltipVisible()?this.hide():this.show()}_isTooltipVisible(){return!!this._tooltipInstance&&this._tooltipInstance.isVisible()}_createOverlay(){if(this._overlayRef)return this._overlayRef;const t=this._scrollDispatcher.getAncestorScrollContainers(this._elementRef),e=this._overlay.position().flexibleConnectedTo(this._elementRef).withTransformOriginOn(\".mat-tooltip\").withFlexibleDimensions(!1).withViewportMargin(8).withScrollableContainers(t);return e.positionChanges.pipe(Object(m.a)(this._destroyed)).subscribe(t=>{this._tooltipInstance&&t.scrollableViewProperties.isOverlayClipped&&this._tooltipInstance.isVisible()&&this._ngZone.run(()=>this.hide(0))}),this._overlayRef=this._overlay.create({direction:this._dir,positionStrategy:e,panelClass:\"mat-tooltip-panel\",scrollStrategy:this._scrollStrategy()}),this._updatePosition(),this._overlayRef.detachments().pipe(Object(m.a)(this._destroyed)).subscribe(()=>this._detach()),this._overlayRef}_detach(){this._overlayRef&&this._overlayRef.hasAttached()&&this._overlayRef.detach(),this._tooltipInstance=null}_updatePosition(){const t=this._overlayRef.getConfig().positionStrategy,e=this._getOrigin(),n=this._getOverlayPosition();t.withPositions([Object.assign(Object.assign({},e.main),n.main),Object.assign(Object.assign({},e.fallback),n.fallback)])}_getOrigin(){const t=!this._dir||\"ltr\"==this._dir.value,e=this.position;let 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i=t.styles?t.styles:Object(a.k)({});if(5==i.type)r=this.visitKeyframes(i,e);else{let i=t.styles,o=!1;if(!i){o=!0;const t={};n.easing&&(t.easing=n.easing),i=Object(a.k)(t)}e.currentTime+=n.duration+n.delay;const s=this.visitStyle(i,e);s.isEmptyStep=o,r=s}return e.currentAnimateTimings=null,{type:4,timings:n,style:r,options:null}}visitStyle(t,e){const n=this._makeStyleAst(t,e);return this._validateStyleAst(n,e),n}_makeStyleAst(t,e){const n=[];Array.isArray(t.styles)?t.styles.forEach(t=>{\"string\"==typeof t?t==a.a?n.push(t):e.errors.push(`The provided style string value ${t} is not allowed.`):n.push(t)}):n.push(t.styles);let r=!1,i=null;return n.forEach(t=>{if(lt(t)){const e=t,n=e.easing;if(n&&(i=n,delete e.easing),!r)for(let t in e)if(e[t].toString().indexOf(\"{{\")>=0){r=!0;break}}}),{type:6,styles:n,easing:i,offset:t.offset,containsDynamicStyles:r,options:null}}_validateStyleAst(t,e){const n=e.currentAnimateTimings;let r=e.currentTime,i=e.currentTime;n&&i>0&&(i-=n.duration+n.delay),t.styles.forEach(t=>{\"string\"!=typeof t&&Object.keys(t).forEach(n=>{if(!this._driver.validateStyleProperty(n))return void e.errors.push(`The provided animation property \"${n}\" is not a supported CSS property for animations`);const a=e.collectedStyles[e.currentQuerySelector],o=a[n];let s=!0;o&&(i!=r&&i>=o.startTime&&r<=o.endTime&&(e.errors.push(`The CSS property \"${n}\" that exists between the times of \"${o.startTime}ms\" and \"${o.endTime}ms\" is also being animated in a parallel animation between the times of \"${i}ms\" and \"${r}ms\"`),s=!1),i=o.startTime),s&&(a[n]={startTime:i,endTime:r}),e.options&&function(t,e,n){const r=e.params||{},i=U(t);i.length&&i.forEach(t=>{r.hasOwnProperty(t)||n.push(`Unable to resolve the local animation param ${t} in the given list of values`)})}(t[n],e.options,e.errors)})})}visitKeyframes(t,e){const n={type:5,styles:[],options:null};if(!e.currentAnimateTimings)return e.errors.push(\"keyframes() must be placed inside of a call to animate()\"),n;let r=0;const i=[];let a=!1,o=!1,s=0;const l=t.steps.map(t=>{const n=this._makeStyleAst(t,e);let l=null!=n.offset?n.offset:function(t){if(\"string\"==typeof t)return null;let e=null;if(Array.isArray(t))t.forEach(t=>{if(lt(t)&&t.hasOwnProperty(\"offset\")){const n=t;e=parseFloat(n.offset),delete n.offset}});else if(lt(t)&&t.hasOwnProperty(\"offset\")){const n=t;e=parseFloat(n.offset),delete n.offset}return e}(n.styles),c=0;return null!=l&&(r++,c=n.offset=l),o=o||c<0||c>1,a=a||c<s,s=c,i.push(c),n});o&&e.errors.push(\"Please ensure that all keyframe offsets are between 0 and 1\"),a&&e.errors.push(\"Please ensure that all keyframe offsets are in order\");const c=t.steps.length;let u=0;r>0&&r<c?e.errors.push(\"Not all style() steps within the declared keyframes() contain offsets\"):0==r&&(u=1/(c-1));const h=c-1,d=e.currentTime,f=e.currentAnimateTimings,p=f.duration;return l.forEach((t,r)=>{const a=u>0?r==h?1:u*r:i[r],o=a*p;e.currentTime=d+f.delay+o,f.duration=o,this._validateStyleAst(t,e),t.offset=a,n.styles.push(t)}),n}visitReference(t,e){return{type:8,animation:K(this,H(t.animation),e),options:ct(t.options)}}visitAnimateChild(t,e){return e.depCount++,{type:9,options:ct(t.options)}}visitAnimateRef(t,e){return{type:10,animation:this.visitReference(t.animation,e),options:ct(t.options)}}visitQuery(t,e){const n=e.currentQuerySelector,r=t.options||{};e.queryCount++,e.currentQuery=t;const[i,a]=function(t){const e=!!t.split(/\\s*,\\s*/).find(t=>\":self\"==t);return e&&(t=t.replace(it,\"\")),[t=t.replace(/@\\*/g,E).replace(/@\\w+/g,t=>\".ng-trigger-\"+t.substr(1)).replace(/:animating/g,D),e]}(t.selector);e.currentQuerySelector=n.length?n+\" \"+i:i,d(e.collectedStyles,e.currentQuerySelector,{});const o=K(this,H(t.animation),e);return e.currentQuery=null,e.currentQuerySelector=n,{type:11,selector:i,limit:r.limit||0,optional:!!r.optional,includeSelf:a,animation:o,originalSelector:t.selector,options:ct(t.options)}}visitStagger(t,e){e.currentQuery||e.errors.push(\"stagger() can only be used inside of query()\");const n=\"full\"===t.timings?{duration:0,delay:0,easing:\"full\"}:R(t.timings,e.errors,!0);return{type:12,animation:K(this,H(t.animation),e),timings:n,options:null}}}class st{constructor(t){this.errors=t,this.queryCount=0,this.depCount=0,this.currentTransition=null,this.currentQuery=null,this.currentQuerySelector=null,this.currentAnimateTimings=null,this.currentTime=0,this.collectedStyles={},this.options=null}}function lt(t){return!Array.isArray(t)&&\"object\"==typeof t}function ct(t){var e;return t?(t=z(t)).params&&(t.params=(e=t.params)?z(e):null):t={},t}function ut(t,e,n){return{duration:t,delay:e,easing:n}}function ht(t,e,n,r,i,a,o=null,s=!1){return{type:1,element:t,keyframes:e,preStyleProps:n,postStyleProps:r,duration:i,delay:a,totalTime:i+a,easing:o,subTimeline:s}}class dt{constructor(){this._map=new Map}consume(t){let e=this._map.get(t);return e?this._map.delete(t):e=[],e}append(t,e){let n=this._map.get(t);n||this._map.set(t,n=[]),n.push(...e)}has(t){return this._map.has(t)}clear(){this._map.clear()}}const ft=new RegExp(\":enter\",\"g\"),pt=new RegExp(\":leave\",\"g\");function mt(t,e,n,r,i,a={},o={},s,l,c=[]){return(new gt).buildKeyframes(t,e,n,r,i,a,o,s,l,c)}class gt{buildKeyframes(t,e,n,r,i,a,o,s,l,c=[]){l=l||new dt;const u=new vt(t,e,l,r,i,c,[]);u.options=s,u.currentTimeline.setStyles([a],null,u.errors,s),K(this,n,u);const h=u.timelines.filter(t=>t.containsAnimation());if(h.length&&Object.keys(o).length){const t=h[h.length-1];t.allowOnlyTimelineStyles()||t.setStyles([o],null,u.errors,s)}return h.length?h.map(t=>t.buildKeyframes()):[ht(e,[],[],[],0,0,\"\",!1)]}visitTrigger(t,e){}visitState(t,e){}visitTransition(t,e){}visitAnimateChild(t,e){const n=e.subInstructions.consume(e.element);if(n){const r=e.createSubContext(t.options),i=e.currentTimeline.currentTime,a=this._visitSubInstructions(n,r,r.options);i!=a&&e.transformIntoNewTimeline(a)}e.previousNode=t}visitAnimateRef(t,e){const n=e.createSubContext(t.options);n.transformIntoNewTimeline(),this.visitReference(t.animation,n),e.transformIntoNewTimeline(n.currentTimeline.currentTime),e.previousNode=t}_visitSubInstructions(t,e,n){let r=e.currentTimeline.currentTime;const i=null!=n.duration?I(n.duration):null,a=null!=n.delay?I(n.delay):null;return 0!==i&&t.forEach(t=>{const n=e.appendInstructionToTimeline(t,i,a);r=Math.max(r,n.duration+n.delay)}),r}visitReference(t,e){e.updateOptions(t.options,!0),K(this,t.animation,e),e.previousNode=t}visitSequence(t,e){const n=e.subContextCount;let r=e;const 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r=s[n];r==a.o?t.add(n):r==a.a&&e.add(n)}),n||(s.offset=o/this.duration),r.push(s)});const i=t.size?q(t.values()):[],o=e.size?q(e.values()):[];if(n){const t=r[0],e=z(t);t.offset=0,e.offset=1,r=[t,e]}return ht(this.element,r,i,o,this.duration,this.startTime,this.easing,!1)}}class bt extends _t{constructor(t,e,n,r,i,a,o=!1){super(t,e,a.delay),this.element=e,this.keyframes=n,this.preStyleProps=r,this.postStyleProps=i,this._stretchStartingKeyframe=o,this.timings={duration:a.duration,delay:a.delay,easing:a.easing}}containsAnimation(){return this.keyframes.length>1}buildKeyframes(){let t=this.keyframes,{delay:e,duration:n,easing:r}=this.timings;if(this._stretchStartingKeyframe&&e){const i=[],a=n+e,o=e/a,s=j(t[0],!1);s.offset=0,i.push(s);const l=j(t[0],!1);l.offset=xt(o),i.push(l);const c=t.length-1;for(let r=1;r<=c;r++){let o=j(t[r],!1);o.offset=xt((e+o.offset*n)/a),i.push(o)}n=a,e=0,r=\"\",t=i}return ht(this.element,t,this.preStyleProps,this.postStyleProps,n,e,r,!0)}}function xt(t,e=3){const n=Math.pow(10,e-1);return Math.round(t*n)/n}class wt{}class kt extends wt{normalizePropertyName(t,e){return X(t)}normalizeStyleValue(t,e,n,r){let i=\"\";const a=n.toString().trim();if(Mt[e]&&0!==n&&\"0\"!==n)if(\"number\"==typeof n)i=\"px\";else{const e=n.match(/^[+-]?[\\d\\.]+([a-z]*)$/);e&&0==e[1].length&&r.push(`Please provide a CSS unit value for ${t}:${n}`)}return a+i}}const Mt=(()=>function(t){const e={};return t.forEach(t=>e[t]=!0),e}(\"width,height,minWidth,minHeight,maxWidth,maxHeight,left,top,bottom,right,fontSize,outlineWidth,outlineOffset,paddingTop,paddingLeft,paddingBottom,paddingRight,marginTop,marginLeft,marginBottom,marginRight,borderRadius,borderWidth,borderTopWidth,borderLeftWidth,borderRightWidth,borderBottomWidth,textIndent,perspective\".split(\",\")))();function Tt(t,e,n,r,i,a,o,s,l,c,u,h,d){return{type:0,element:t,triggerName:e,isRemovalTransition:i,fromState:n,fromStyles:a,toState:r,toStyles:o,timelines:s,queriedElements:l,preStyleProps:c,postStyleProps:u,totalTime:h,errors:d}}const St={};class At{constructor(t,e,n){this._triggerName=t,this.ast=e,this._stateStyles=n}match(t,e,n,r){return function(t,e,n,r,i){return t.some(t=>t(e,n,r,i))}(this.ast.matchers,t,e,n,r)}buildStyles(t,e,n){const r=this._stateStyles[\"*\"],i=this._stateStyles[t],a=r?r.buildStyles(e,n):{};return i?i.buildStyles(e,n):a}build(t,e,n,r,i,a,o,s,l,c){const u=[],h=this.ast.options&&this.ast.options.params||St,f=this.buildStyles(n,o&&o.params||St,u),p=s&&s.params||St,m=this.buildStyles(r,p,u),g=new Set,y=new Map,v=new Map,_=\"void\"===r,b={params:Object.assign(Object.assign({},h),p)},x=c?[]:mt(t,e,this.ast.animation,i,a,f,m,b,l,u);let w=0;if(x.forEach(t=>{w=Math.max(t.duration+t.delay,w)}),u.length)return Tt(e,this._triggerName,n,r,_,f,m,[],[],y,v,w,u);x.forEach(t=>{const n=t.element,r=d(y,n,{});t.preStyleProps.forEach(t=>r[t]=!0);const i=d(v,n,{});t.postStyleProps.forEach(t=>i[t]=!0),n!==e&&g.add(n)});const k=q(g.values());return Tt(e,this._triggerName,n,r,_,f,m,x,k,y,v,w)}}class Lt{constructor(t,e){this.styles=t,this.defaultParams=e}buildStyles(t,e){const n={},r=z(this.defaultParams);return Object.keys(t).forEach(e=>{const n=t[e];null!=n&&(r[e]=n)}),this.styles.styles.forEach(t=>{if(\"string\"!=typeof t){const i=t;Object.keys(i).forEach(t=>{let a=i[t];a.length>1&&(a=W(a,r,e)),n[t]=a})}}),n}}class Ct{constructor(t,e){this.name=t,this.ast=e,this.transitionFactories=[],this.states={},e.states.forEach(t=>{this.states[t.name]=new Lt(t.style,t.options&&t.options.params||{})}),Et(this.states,\"true\",\"1\"),Et(this.states,\"false\",\"0\"),e.transitions.forEach(e=>{this.transitionFactories.push(new At(t,e,this.states))}),this.fallbackTransition=new At(t,{type:1,animation:{type:2,steps:[],options:null},matchers:[(t,e)=>!0],options:null,queryCount:0,depCount:0},this.states)}get containsQueries(){return this.ast.queryCount>0}matchTransition(t,e,n,r){return this.transitionFactories.find(i=>i.match(t,e,n,r))||null}matchStyles(t,e,n){return this.fallbackTransition.buildStyles(t,e,n)}}function Et(t,e,n){t.hasOwnProperty(e)?t.hasOwnProperty(n)||(t[n]=t[e]):t.hasOwnProperty(n)&&(t[e]=t[n])}const Ot=new dt;class Dt{constructor(t,e,n){this.bodyNode=t,this._driver=e,this._normalizer=n,this._animations={},this._playersById={},this.players=[]}register(t,e){const n=[],r=at(this._driver,e,n);if(n.length)throw new Error(\"Unable to build the animation due to the following errors: \"+n.join(\"\\n\"));this._animations[t]=r}_buildPlayer(t,e,n){const r=t.element,i=l(0,this._normalizer,0,t.keyframes,e,n);return this._driver.animate(r,i,t.duration,t.delay,t.easing,[],!0)}create(t,e,n={}){const r=[],i=this._animations[t];let o;const l=new Map;if(i?(o=mt(this._driver,e,i,A,L,{},{},n,Ot,r),o.forEach(t=>{const e=d(l,t.element,{});t.postStyleProps.forEach(t=>e[t]=null)})):(r.push(\"The requested animation doesn't exist or has already been destroyed\"),o=[]),r.length)throw new Error(\"Unable to create the animation due to the following errors: \"+r.join(\"\\n\"));l.forEach((t,e)=>{Object.keys(t).forEach(n=>{t[n]=this._driver.computeStyle(e,n,a.a)})});const c=s(o.map(t=>{const e=l.get(t.element);return this._buildPlayer(t,{},e)}));return this._playersById[t]=c,c.onDestroy(()=>this.destroy(t)),this.players.push(c),c}destroy(t){const e=this._getPlayer(t);e.destroy(),delete this._playersById[t];const n=this.players.indexOf(e);n>=0&&this.players.splice(n,1)}_getPlayer(t){const e=this._playersById[t];if(!e)throw new Error(\"Unable to find the timeline player referenced by \"+t);return e}listen(t,e,n,r){const i=h(e,\"\",\"\",\"\");return c(this._getPlayer(t),n,i,r),()=>{}}command(t,e,n,r){if(\"register\"==n)return void this.register(t,r[0]);if(\"create\"==n)return void this.create(t,e,r[0]||{});const i=this._getPlayer(t);switch(n){case\"play\":i.play();break;case\"pause\":i.pause();break;case\"reset\":i.reset();break;case\"restart\":i.restart();break;case\"finish\":i.finish();break;case\"init\":i.init();break;case\"setPosition\":i.setPosition(parseFloat(r[0]));break;case\"destroy\":this.destroy(t)}}}const It=\"ng-animate-queued\",Pt=\"ng-animate-disabled\",Rt=\".ng-animate-disabled\",zt=[],jt={namespaceId:\"\",setForRemoval:!1,setForMove:!1,hasAnimation:!1,removedBeforeQueried:!1},Ft={namespaceId:\"\",setForMove:!1,setForRemoval:!1,hasAnimation:!1,removedBeforeQueried:!0};class Nt{constructor(t,e=\"\"){this.namespaceId=e;const n=t&&t.hasOwnProperty(\"value\");if(this.value=null!=(r=n?t.value:t)?r:null,n){const e=z(t);delete e.value,this.options=e}else this.options={};var r;this.options.params||(this.options.params={})}get params(){return this.options.params}absorbOptions(t){const e=t.params;if(e){const t=this.options.params;Object.keys(e).forEach(n=>{null==t[n]&&(t[n]=e[n])})}}}const Bt=\"void\",Yt=new Nt(Bt);class Ht{constructor(t,e,n){this.id=t,this.hostElement=e,this._engine=n,this.players=[],this._triggers={},this._queue=[],this._elementListeners=new Map,this._hostClassName=\"ng-tns-\"+t,Zt(e,this._hostClassName)}listen(t,e,n,r){if(!this._triggers.hasOwnProperty(e))throw new Error(`Unable to listen on the animation trigger event \"${n}\" because the animation trigger \"${e}\" doesn't exist!`);if(null==n||0==n.length)throw new Error(`Unable to listen on the animation trigger \"${e}\" because the provided event is undefined!`);if(\"start\"!=(i=n)&&\"done\"!=i)throw new Error(`The provided animation trigger event \"${n}\" for the animation trigger \"${e}\" is not supported!`);var i;const a=d(this._elementListeners,t,[]),o={name:e,phase:n,callback:r};a.push(o);const s=d(this._engine.statesByElement,t,{});return s.hasOwnProperty(e)||(Zt(t,C),Zt(t,\"ng-trigger-\"+e),s[e]=Yt),()=>{this._engine.afterFlush(()=>{const t=a.indexOf(o);t>=0&&a.splice(t,1),this._triggers[e]||delete s[e]})}}register(t,e){return!this._triggers[t]&&(this._triggers[t]=e,!0)}_getTrigger(t){const e=this._triggers[t];if(!e)throw new Error(`The provided animation trigger \"${t}\" has not been registered!`);return e}trigger(t,e,n,r=!0){const i=this._getTrigger(e),a=new Ut(this.id,e,t);let o=this._engine.statesByElement.get(t);o||(Zt(t,C),Zt(t,\"ng-trigger-\"+e),this._engine.statesByElement.set(t,o={}));let s=o[e];const l=new Nt(n,this.id);if(!(n&&n.hasOwnProperty(\"value\"))&&s&&l.absorbOptions(s.options),o[e]=l,s||(s=Yt),l.value!==Bt&&s.value===l.value){if(!function(t,e){const n=Object.keys(t),r=Object.keys(e);if(n.length!=r.length)return!1;for(let i=0;i<n.length;i++){const r=n[i];if(!e.hasOwnProperty(r)||t[r]!==e[r])return!1}return!0}(s.params,l.params)){const e=[],n=i.matchStyles(s.value,s.params,e),r=i.matchStyles(l.value,l.params,e);e.length?this._engine.reportError(e):this._engine.afterFlush(()=>{Y(t,n),B(t,r)})}return}const c=d(this._engine.playersByElement,t,[]);c.forEach(t=>{t.namespaceId==this.id&&t.triggerName==e&&t.queued&&t.destroy()});let u=i.matchTransition(s.value,l.value,t,l.params),h=!1;if(!u){if(!r)return;u=i.fallbackTransition,h=!0}return this._engine.totalQueuedPlayers++,this._queue.push({element:t,triggerName:e,transition:u,fromState:s,toState:l,player:a,isFallbackTransition:h}),h||(Zt(t,It),a.onStart(()=>{Jt(t,It)})),a.onDone(()=>{let e=this.players.indexOf(a);e>=0&&this.players.splice(e,1);const n=this._engine.playersByElement.get(t);if(n){let t=n.indexOf(a);t>=0&&n.splice(t,1)}}),this.players.push(a),c.push(a),a}deregister(t){delete this._triggers[t],this._engine.statesByElement.forEach((e,n)=>{delete e[t]}),this._elementListeners.forEach((e,n)=>{this._elementListeners.set(n,e.filter(e=>e.name!=t))})}clearElementCache(t){this._engine.statesByElement.delete(t),this._elementListeners.delete(t);const e=this._engine.playersByElement.get(t);e&&(e.forEach(t=>t.destroy()),this._engine.playersByElement.delete(t))}_signalRemovalForInnerTriggers(t,e){const n=this._engine.driver.query(t,E,!0);n.forEach(t=>{if(t.__ng_removed)return;const n=this._engine.fetchNamespacesByElement(t);n.size?n.forEach(n=>n.triggerLeaveAnimation(t,e,!1,!0)):this.clearElementCache(t)}),this._engine.afterFlushAnimationsDone(()=>n.forEach(t=>this.clearElementCache(t)))}triggerLeaveAnimation(t,e,n,r){const i=this._engine.statesByElement.get(t);if(i){const a=[];if(Object.keys(i).forEach(e=>{if(this._triggers[e]){const n=this.trigger(t,e,Bt,r);n&&a.push(n)}}),a.length)return this._engine.markElementAsRemoved(this.id,t,!0,e),n&&s(a).onDone(()=>this._engine.processLeaveNode(t)),!0}return!1}prepareLeaveAnimationListeners(t){const e=this._elementListeners.get(t);if(e){const n=new Set;e.forEach(e=>{const r=e.name;if(n.has(r))return;n.add(r);const i=this._triggers[r].fallbackTransition,a=this._engine.statesByElement.get(t)[r]||Yt,o=new Nt(Bt),s=new Ut(this.id,r,t);this._engine.totalQueuedPlayers++,this._queue.push({element:t,triggerName:r,transition:i,fromState:a,toState:o,player:s,isFallbackTransition:!0})})}}removeNode(t,e){const n=this._engine;if(t.childElementCount&&this._signalRemovalForInnerTriggers(t,e),this.triggerLeaveAnimation(t,e,!0))return;let r=!1;if(n.totalAnimations){const e=n.players.length?n.playersByQueriedElement.get(t):[];if(e&&e.length)r=!0;else{let e=t;for(;e=e.parentNode;)if(n.statesByElement.get(e)){r=!0;break}}}if(this.prepareLeaveAnimationListeners(t),r)n.markElementAsRemoved(this.id,t,!1,e);else{const r=t.__ng_removed;r&&r!==jt||(n.afterFlush(()=>this.clearElementCache(t)),n.destroyInnerAnimations(t),n._onRemovalComplete(t,e))}}insertNode(t,e){Zt(t,this._hostClassName)}drainQueuedTransitions(t){const e=[];return this._queue.forEach(n=>{const r=n.player;if(r.destroyed)return;const i=n.element,a=this._elementListeners.get(i);a&&a.forEach(e=>{if(e.name==n.triggerName){const r=h(i,n.triggerName,n.fromState.value,n.toState.value);r._data=t,c(n.player,e.phase,r,e.callback)}}),r.markedForDestroy?this._engine.afterFlush(()=>{r.destroy()}):e.push(n)}),this._queue=[],e.sort((t,e)=>{const n=t.transition.ast.depCount,r=e.transition.ast.depCount;return 0==n||0==r?n-r:this._engine.driver.containsElement(t.element,e.element)?1:-1})}destroy(t){this.players.forEach(t=>t.destroy()),this._signalRemovalForInnerTriggers(this.hostElement,t)}elementContainsData(t){let e=!1;return this._elementListeners.has(t)&&(e=!0),e=!!this._queue.find(e=>e.element===t)||e,e}}class Vt{constructor(t,e,n){this.bodyNode=t,this.driver=e,this._normalizer=n,this.players=[],this.newHostElements=new Map,this.playersByElement=new Map,this.playersByQueriedElement=new Map,this.statesByElement=new Map,this.disabledNodes=new Set,this.totalAnimations=0,this.totalQueuedPlayers=0,this._namespaceLookup={},this._namespaceList=[],this._flushFns=[],this._whenQuietFns=[],this.namespacesByHostElement=new Map,this.collectedEnterElements=[],this.collectedLeaveElements=[],this.onRemovalComplete=(t,e)=>{}}_onRemovalComplete(t,e){this.onRemovalComplete(t,e)}get queuedPlayers(){const t=[];return this._namespaceList.forEach(e=>{e.players.forEach(e=>{e.queued&&t.push(e)})}),t}createNamespace(t,e){const n=new Ht(t,e,this);return e.parentNode?this._balanceNamespaceList(n,e):(this.newHostElements.set(e,n),this.collectEnterElement(e)),this._namespaceLookup[t]=n}_balanceNamespaceList(t,e){const n=this._namespaceList.length-1;if(n>=0){let r=!1;for(let i=n;i>=0;i--)if(this.driver.containsElement(this._namespaceList[i].hostElement,e)){this._namespaceList.splice(i+1,0,t),r=!0;break}r||this._namespaceList.splice(0,0,t)}else this._namespaceList.push(t);return this.namespacesByHostElement.set(e,t),t}register(t,e){let n=this._namespaceLookup[t];return n||(n=this.createNamespace(t,e)),n}registerTrigger(t,e,n){let r=this._namespaceLookup[t];r&&r.register(e,n)&&this.totalAnimations++}destroy(t,e){if(!t)return;const n=this._fetchNamespace(t);this.afterFlush(()=>{this.namespacesByHostElement.delete(n.hostElement),delete this._namespaceLookup[t];const e=this._namespaceList.indexOf(n);e>=0&&this._namespaceList.splice(e,1)}),this.afterFlushAnimationsDone(()=>n.destroy(e))}_fetchNamespace(t){return this._namespaceLookup[t]}fetchNamespacesByElement(t){const e=new Set,n=this.statesByElement.get(t);if(n){const t=Object.keys(n);for(let r=0;r<t.length;r++){const i=n[t[r]].namespaceId;if(i){const t=this._fetchNamespace(i);t&&e.add(t)}}}return e}trigger(t,e,n,r){if(Wt(e)){const i=this._fetchNamespace(t);if(i)return i.trigger(e,n,r),!0}return!1}insertNode(t,e,n,r){if(!Wt(e))return;const i=e.__ng_removed;if(i&&i.setForRemoval){i.setForRemoval=!1,i.setForMove=!0;const t=this.collectedLeaveElements.indexOf(e);t>=0&&this.collectedLeaveElements.splice(t,1)}if(t){const r=this._fetchNamespace(t);r&&r.insertNode(e,n)}r&&this.collectEnterElement(e)}collectEnterElement(t){this.collectedEnterElements.push(t)}markElementAsDisabled(t,e){e?this.disabledNodes.has(t)||(this.disabledNodes.add(t),Zt(t,Pt)):this.disabledNodes.has(t)&&(this.disabledNodes.delete(t),Jt(t,Pt))}removeNode(t,e,n,r){if(Wt(e)){const i=t?this._fetchNamespace(t):null;if(i?i.removeNode(e,r):this.markElementAsRemoved(t,e,!1,r),n){const n=this.namespacesByHostElement.get(e);n&&n.id!==t&&n.removeNode(e,r)}}else this._onRemovalComplete(e,r)}markElementAsRemoved(t,e,n,r){this.collectedLeaveElements.push(e),e.__ng_removed={namespaceId:t,setForRemoval:r,hasAnimation:n,removedBeforeQueried:!1}}listen(t,e,n,r,i){return Wt(e)?this._fetchNamespace(t).listen(e,n,r,i):()=>{}}_buildInstruction(t,e,n,r,i){return t.transition.build(this.driver,t.element,t.fromState.value,t.toState.value,n,r,t.fromState.options,t.toState.options,e,i)}destroyInnerAnimations(t){let e=this.driver.query(t,E,!0);e.forEach(t=>this.destroyActiveAnimationsForElement(t)),0!=this.playersByQueriedElement.size&&(e=this.driver.query(t,D,!0),e.forEach(t=>this.finishActiveQueriedAnimationOnElement(t)))}destroyActiveAnimationsForElement(t){const e=this.playersByElement.get(t);e&&e.forEach(t=>{t.queued?t.markedForDestroy=!0:t.destroy()})}finishActiveQueriedAnimationOnElement(t){const e=this.playersByQueriedElement.get(t);e&&e.forEach(t=>t.finish())}whenRenderingDone(){return new Promise(t=>{if(this.players.length)return s(this.players).onDone(()=>t());t()})}processLeaveNode(t){const e=t.__ng_removed;if(e&&e.setForRemoval){if(t.__ng_removed=jt,e.namespaceId){this.destroyInnerAnimations(t);const n=this._fetchNamespace(e.namespaceId);n&&n.clearElementCache(t)}this._onRemovalComplete(t,e.setForRemoval)}this.driver.matchesElement(t,Rt)&&this.markElementAsDisabled(t,!1),this.driver.query(t,Rt,!0).forEach(t=>{this.markElementAsDisabled(t,!1)})}flush(t=-1){let e=[];if(this.newHostElements.size&&(this.newHostElements.forEach((t,e)=>this._balanceNamespaceList(t,e)),this.newHostElements.clear()),this.totalAnimations&&this.collectedEnterElements.length)for(let n=0;n<this.collectedEnterElements.length;n++)Zt(this.collectedEnterElements[n],\"ng-star-inserted\");if(this._namespaceList.length&&(this.totalQueuedPlayers||this.collectedLeaveElements.length)){const n=[];try{e=this._flushAnimations(n,t)}finally{for(let t=0;t<n.length;t++)n[t]()}}else for(let n=0;n<this.collectedLeaveElements.length;n++)this.processLeaveNode(this.collectedLeaveElements[n]);if(this.totalQueuedPlayers=0,this.collectedEnterElements.length=0,this.collectedLeaveElements.length=0,this._flushFns.forEach(t=>t()),this._flushFns=[],this._whenQuietFns.length){const t=this._whenQuietFns;this._whenQuietFns=[],e.length?s(e).onDone(()=>{t.forEach(t=>t())}):t.forEach(t=>t())}}reportError(t){throw new Error(\"Unable to process animations due to the following failed trigger transitions\\n \"+t.join(\"\\n\"))}_flushAnimations(t,e){const n=new dt,r=[],i=new Map,o=[],l=new Map,c=new Map,u=new Map,h=new Set;this.disabledNodes.forEach(t=>{h.add(t);const e=this.driver.query(t,\".ng-animate-queued\",!0);for(let n=0;n<e.length;n++)h.add(e[n])});const f=this.bodyNode,p=Array.from(this.statesByElement.keys()),m=Xt(p,this.collectedEnterElements),g=new Map;let y=0;m.forEach((t,e)=>{const n=A+y++;g.set(e,n),t.forEach(t=>Zt(t,n))});const v=[],_=new Set,b=new Set;for(let a=0;a<this.collectedLeaveElements.length;a++){const t=this.collectedLeaveElements[a],e=t.__ng_removed;e&&e.setForRemoval&&(v.push(t),_.add(t),e.hasAnimation?this.driver.query(t,\".ng-star-inserted\",!0).forEach(t=>_.add(t)):b.add(t))}const x=new Map,w=Xt(p,Array.from(_));w.forEach((t,e)=>{const n=L+y++;x.set(e,n),t.forEach(t=>Zt(t,n))}),t.push(()=>{m.forEach((t,e)=>{const n=g.get(e);t.forEach(t=>Jt(t,n))}),w.forEach((t,e)=>{const n=x.get(e);t.forEach(t=>Jt(t,n))}),v.forEach(t=>{this.processLeaveNode(t)})});const k=[],M=[];for(let a=this._namespaceList.length-1;a>=0;a--)this._namespaceList[a].drainQueuedTransitions(e).forEach(t=>{const e=t.player,i=t.element;if(k.push(e),this.collectedEnterElements.length){const t=i.__ng_removed;if(t&&t.setForMove)return void e.destroy()}const a=!f||!this.driver.containsElement(f,i),s=x.get(i),h=g.get(i),p=this._buildInstruction(t,n,h,s,a);if(p.errors&&p.errors.length)M.push(p);else{if(a)return e.onStart(()=>Y(i,p.fromStyles)),e.onDestroy(()=>B(i,p.toStyles)),void r.push(e);if(t.isFallbackTransition)return e.onStart(()=>Y(i,p.fromStyles)),e.onDestroy(()=>B(i,p.toStyles)),void r.push(e);p.timelines.forEach(t=>t.stretchStartingKeyframe=!0),n.append(i,p.timelines),o.push({instruction:p,player:e,element:i}),p.queriedElements.forEach(t=>d(l,t,[]).push(e)),p.preStyleProps.forEach((t,e)=>{const n=Object.keys(t);if(n.length){let t=c.get(e);t||c.set(e,t=new Set),n.forEach(e=>t.add(e))}}),p.postStyleProps.forEach((t,e)=>{const n=Object.keys(t);let r=u.get(e);r||u.set(e,r=new Set),n.forEach(t=>r.add(t))})}});if(M.length){const t=[];M.forEach(e=>{t.push(`@${e.triggerName} has failed due to:\\n`),e.errors.forEach(e=>t.push(`- ${e}\\n`))}),k.forEach(t=>t.destroy()),this.reportError(t)}const T=new Map,S=new Map;o.forEach(t=>{const e=t.element;n.has(e)&&(S.set(e,e),this._beforeAnimationBuild(t.player.namespaceId,t.instruction,T))}),r.forEach(t=>{const e=t.element;this._getPreviousPlayers(e,!1,t.namespaceId,t.triggerName,null).forEach(t=>{d(T,e,[]).push(t),t.destroy()})});const C=v.filter(t=>$t(t,c,u)),E=new Map;Gt(E,this.driver,b,u,a.a).forEach(t=>{$t(t,c,u)&&C.push(t)});const O=new Map;m.forEach((t,e)=>{Gt(O,this.driver,new Set(t),c,a.o)}),C.forEach(t=>{const e=E.get(t),n=O.get(t);E.set(t,Object.assign(Object.assign({},e),n))});const I=[],P=[],R={};o.forEach(t=>{const{element:e,player:a,instruction:o}=t;if(n.has(e)){if(h.has(e))return a.onDestroy(()=>B(e,o.toStyles)),a.disabled=!0,a.overrideTotalTime(o.totalTime),void r.push(a);let t=R;if(S.size>1){let n=e;const r=[];for(;n=n.parentNode;){const e=S.get(n);if(e){t=e;break}r.push(n)}r.forEach(e=>S.set(e,t))}const n=this._buildAnimation(a.namespaceId,o,T,i,O,E);if(a.setRealPlayer(n),t===R)I.push(a);else{const e=this.playersByElement.get(t);e&&e.length&&(a.parentPlayer=s(e)),r.push(a)}}else Y(e,o.fromStyles),a.onDestroy(()=>B(e,o.toStyles)),P.push(a),h.has(e)&&r.push(a)}),P.forEach(t=>{const e=i.get(t.element);if(e&&e.length){const n=s(e);t.setRealPlayer(n)}}),r.forEach(t=>{t.parentPlayer?t.syncPlayerEvents(t.parentPlayer):t.destroy()});for(let a=0;a<v.length;a++){const t=v[a],e=t.__ng_removed;if(Jt(t,L),e&&e.hasAnimation)continue;let n=[];if(l.size){let e=l.get(t);e&&e.length&&n.push(...e);let r=this.driver.query(t,D,!0);for(let t=0;t<r.length;t++){let e=l.get(r[t]);e&&e.length&&n.push(...e)}}const r=n.filter(t=>!t.destroyed);r.length?Kt(this,t,r):this.processLeaveNode(t)}return v.length=0,I.forEach(t=>{this.players.push(t),t.onDone(()=>{t.destroy();const e=this.players.indexOf(t);this.players.splice(e,1)}),t.play()}),I}elementContainsData(t,e){let n=!1;const r=e.__ng_removed;return r&&r.setForRemoval&&(n=!0),this.playersByElement.has(e)&&(n=!0),this.playersByQueriedElement.has(e)&&(n=!0),this.statesByElement.has(e)&&(n=!0),this._fetchNamespace(t).elementContainsData(e)||n}afterFlush(t){this._flushFns.push(t)}afterFlushAnimationsDone(t){this._whenQuietFns.push(t)}_getPreviousPlayers(t,e,n,r,i){let a=[];if(e){const e=this.playersByQueriedElement.get(t);e&&(a=e)}else{const e=this.playersByElement.get(t);if(e){const t=!i||i==Bt;e.forEach(e=>{e.queued||(t||e.triggerName==r)&&a.push(e)})}}return(n||r)&&(a=a.filter(t=>!(n&&n!=t.namespaceId||r&&r!=t.triggerName))),a}_beforeAnimationBuild(t,e,n){const r=e.element,i=e.isRemovalTransition?void 0:t,a=e.isRemovalTransition?void 0:e.triggerName;for(const o of e.timelines){const t=o.element,s=t!==r,l=d(n,t,[]);this._getPreviousPlayers(t,s,i,a,e.toState).forEach(t=>{const e=t.getRealPlayer();e.beforeDestroy&&e.beforeDestroy(),t.destroy(),l.push(t)})}Y(r,e.fromStyles)}_buildAnimation(t,e,n,r,i,o){const c=e.triggerName,u=e.element,h=[],f=new Set,p=new Set,m=e.timelines.map(e=>{const s=e.element;f.add(s);const d=s.__ng_removed;if(d&&d.removedBeforeQueried)return new a.d(e.duration,e.delay);const m=s!==u,g=function(t){const e=[];return function t(e,n){for(let r=0;r<e.length;r++){const i=e[r];i instanceof a.n?t(i.players,n):n.push(i)}}(t,e),e}((n.get(s)||zt).map(t=>t.getRealPlayer())).filter(t=>!!t.element&&t.element===s),y=i.get(s),v=o.get(s),_=l(0,this._normalizer,0,e.keyframes,y,v),b=this._buildPlayer(e,_,g);if(e.subTimeline&&r&&p.add(s),m){const e=new Ut(t,c,s);e.setRealPlayer(b),h.push(e)}return b});h.forEach(t=>{d(this.playersByQueriedElement,t.element,[]).push(t),t.onDone(()=>function(t,e,n){let r;if(t instanceof Map){if(r=t.get(e),r){if(r.length){const t=r.indexOf(n);r.splice(t,1)}0==r.length&&t.delete(e)}}else if(r=t[e],r){if(r.length){const t=r.indexOf(n);r.splice(t,1)}0==r.length&&delete t[e]}return r}(this.playersByQueriedElement,t.element,t))}),f.forEach(t=>Zt(t,O));const g=s(m);return g.onDestroy(()=>{f.forEach(t=>Jt(t,O)),B(u,e.toStyles)}),p.forEach(t=>{d(r,t,[]).push(g)}),g}_buildPlayer(t,e,n){return e.length>0?this.driver.animate(t.element,e,t.duration,t.delay,t.easing,n):new a.d(t.duration,t.delay)}}class Ut{constructor(t,e,n){this.namespaceId=t,this.triggerName=e,this.element=n,this._player=new a.d,this._containsRealPlayer=!1,this._queuedCallbacks={},this.destroyed=!1,this.markedForDestroy=!1,this.disabled=!1,this.queued=!0,this.totalTime=0}setRealPlayer(t){this._containsRealPlayer||(this._player=t,Object.keys(this._queuedCallbacks).forEach(e=>{this._queuedCallbacks[e].forEach(n=>c(t,e,void 0,n))}),this._queuedCallbacks={},this._containsRealPlayer=!0,this.overrideTotalTime(t.totalTime),this.queued=!1)}getRealPlayer(){return this._player}overrideTotalTime(t){this.totalTime=t}syncPlayerEvents(t){const e=this._player;e.triggerCallback&&t.onStart(()=>e.triggerCallback(\"start\")),t.onDone(()=>this.finish()),t.onDestroy(()=>this.destroy())}_queueEvent(t,e){d(this._queuedCallbacks,t,[]).push(e)}onDone(t){this.queued&&this._queueEvent(\"done\",t),this._player.onDone(t)}onStart(t){this.queued&&this._queueEvent(\"start\",t),this._player.onStart(t)}onDestroy(t){this.queued&&this._queueEvent(\"destroy\",t),this._player.onDestroy(t)}init(){this._player.init()}hasStarted(){return!this.queued&&this._player.hasStarted()}play(){!this.queued&&this._player.play()}pause(){!this.queued&&this._player.pause()}restart(){!this.queued&&this._player.restart()}finish(){this._player.finish()}destroy(){this.destroyed=!0,this._player.destroy()}reset(){!this.queued&&this._player.reset()}setPosition(t){this.queued||this._player.setPosition(t)}getPosition(){return this.queued?0:this._player.getPosition()}triggerCallback(t){const e=this._player;e.triggerCallback&&e.triggerCallback(t)}}function Wt(t){return t&&1===t.nodeType}function qt(t,e){const n=t.style.display;return t.style.display=null!=e?e:\"none\",n}function Gt(t,e,n,r,i){const a=[];n.forEach(t=>a.push(qt(t)));const o=[];r.forEach((n,r)=>{const a={};n.forEach(t=>{const n=a[t]=e.computeStyle(r,t,i);n&&0!=n.length||(r.__ng_removed=Ft,o.push(r))}),t.set(r,a)});let s=0;return n.forEach(t=>qt(t,a[s++])),o}function Xt(t,e){const n=new Map;if(t.forEach(t=>n.set(t,[])),0==e.length)return n;const r=new Set(e),i=new Map;return e.forEach(t=>{const e=function t(e){if(!e)return 1;let a=i.get(e);if(a)return a;const o=e.parentNode;return a=n.has(o)?o:r.has(o)?1:t(o),i.set(e,a),a}(t);1!==e&&n.get(e).push(t)}),n}function Zt(t,e){if(t.classList)t.classList.add(e);else{let n=t.$$classes;n||(n=t.$$classes={}),n[e]=!0}}function Jt(t,e){if(t.classList)t.classList.remove(e);else{let n=t.$$classes;n&&delete n[e]}}function Kt(t,e,n){s(n).onDone(()=>t.processLeaveNode(e))}function $t(t,e,n){const r=n.get(t);if(!r)return!1;let i=e.get(t);return i?r.forEach(t=>i.add(t)):e.set(t,r),n.delete(t),!0}class Qt{constructor(t,e,n){this.bodyNode=t,this._driver=e,this._triggerCache={},this.onRemovalComplete=(t,e)=>{},this._transitionEngine=new Vt(t,e,n),this._timelineEngine=new Dt(t,e,n),this._transitionEngine.onRemovalComplete=(t,e)=>this.onRemovalComplete(t,e)}registerTrigger(t,e,n,r,i){const a=t+\"-\"+r;let o=this._triggerCache[a];if(!o){const t=[],e=at(this._driver,i,t);if(t.length)throw new Error(`The animation trigger \"${r}\" has failed to build due to the following errors:\\n - ${t.join(\"\\n - \")}`);o=function(t,e){return new Ct(t,e)}(r,e),this._triggerCache[a]=o}this._transitionEngine.registerTrigger(e,r,o)}register(t,e){this._transitionEngine.register(t,e)}destroy(t,e){this._transitionEngine.destroy(t,e)}onInsert(t,e,n,r){this._transitionEngine.insertNode(t,e,n,r)}onRemove(t,e,n,r){this._transitionEngine.removeNode(t,e,r||!1,n)}disableAnimations(t,e){this._transitionEngine.markElementAsDisabled(t,e)}process(t,e,n,r){if(\"@\"==n.charAt(0)){const[t,i]=f(n);this._timelineEngine.command(t,e,i,r)}else this._transitionEngine.trigger(t,e,n,r)}listen(t,e,n,r,i){if(\"@\"==n.charAt(0)){const[t,r]=f(n);return this._timelineEngine.listen(t,e,r,i)}return this._transitionEngine.listen(t,e,n,r,i)}flush(t=-1){this._transitionEngine.flush(t)}get players(){return this._transitionEngine.players.concat(this._timelineEngine.players)}whenRenderingDone(){return this._transitionEngine.whenRenderingDone()}}function te(t,e){let n=null,r=null;return Array.isArray(e)&&e.length?(n=ne(e[0]),e.length>1&&(r=ne(e[e.length-1]))):e&&(n=ne(e)),n||r?new ee(t,n,r):null}let ee=(()=>{class t{constructor(e,n,r){this._element=e,this._startStyles=n,this._endStyles=r,this._state=0;let i=t.initialStylesByElement.get(e);i||t.initialStylesByElement.set(e,i={}),this._initialStyles=i}start(){this._state<1&&(this._startStyles&&B(this._element,this._startStyles,this._initialStyles),this._state=1)}finish(){this.start(),this._state<2&&(B(this._element,this._initialStyles),this._endStyles&&(B(this._element,this._endStyles),this._endStyles=null),this._state=1)}destroy(){this.finish(),this._state<3&&(t.initialStylesByElement.delete(this._element),this._startStyles&&(Y(this._element,this._startStyles),this._endStyles=null),this._endStyles&&(Y(this._element,this._endStyles),this._endStyles=null),B(this._element,this._initialStyles),this._state=3)}}return t.initialStylesByElement=new WeakMap,t})();function ne(t){let e=null;const n=Object.keys(t);for(let r=0;r<n.length;r++){const i=n[r];re(i)&&(e=e||{},e[i]=t[i])}return e}function re(t){return\"display\"===t||\"position\"===t}const ie=\"animation\",ae=\"animationend\";class oe{constructor(t,e,n,r,i,a,o){this._element=t,this._name=e,this._duration=n,this._delay=r,this._easing=i,this._fillMode=a,this._onDoneFn=o,this._finished=!1,this._destroyed=!1,this._startTime=0,this._position=0,this._eventFn=t=>this._handleCallback(t)}apply(){!function(t,e){const n=de(t,\"\").trim();n.length&&(function(t,e){let n=0;for(let r=0;r<t.length;r++)\",\"===t.charAt(r)&&n++}(n),e=`${n}, ${e}`),he(t,\"\",e)}(this._element,`${this._duration}ms ${this._easing} ${this._delay}ms 1 normal ${this._fillMode} ${this._name}`),ue(this._element,this._eventFn,!1),this._startTime=Date.now()}pause(){se(this._element,this._name,\"paused\")}resume(){se(this._element,this._name,\"running\")}setPosition(t){const e=le(this._element,this._name);this._position=t*this._duration,he(this._element,\"Delay\",`-${this._position}ms`,e)}getPosition(){return this._position}_handleCallback(t){const e=t._ngTestManualTimestamp||Date.now(),n=1e3*parseFloat(t.elapsedTime.toFixed(3));t.animationName==this._name&&Math.max(e-this._startTime,0)>=this._delay&&n>=this._duration&&this.finish()}finish(){this._finished||(this._finished=!0,this._onDoneFn(),ue(this._element,this._eventFn,!0))}destroy(){this._destroyed||(this._destroyed=!0,this.finish(),function(t,e){const n=de(t,\"\").split(\",\"),r=ce(n,e);r>=0&&(n.splice(r,1),he(t,\"\",n.join(\",\")))}(this._element,this._name))}}function se(t,e,n){he(t,\"PlayState\",n,le(t,e))}function le(t,e){const n=de(t,\"\");return n.indexOf(\",\")>0?ce(n.split(\",\"),e):ce([n],e)}function ce(t,e){for(let n=0;n<t.length;n++)if(t[n].indexOf(e)>=0)return n;return-1}function ue(t,e,n){n?t.removeEventListener(ae,e):t.addEventListener(ae,e)}function he(t,e,n,r){const i=ie+e;if(null!=r){const e=t.style[i];if(e.length){const t=e.split(\",\");t[r]=n,n=t.join(\",\")}}t.style[i]=n}function de(t,e){return t.style[ie+e]||\"\"}class fe{constructor(t,e,n,r,i,a,o,s){this.element=t,this.keyframes=e,this.animationName=n,this._duration=r,this._delay=i,this._finalStyles=o,this._specialStyles=s,this._onDoneFns=[],this._onStartFns=[],this._onDestroyFns=[],this._started=!1,this.currentSnapshot={},this._state=0,this.easing=a||\"linear\",this.totalTime=r+i,this._buildStyler()}onStart(t){this._onStartFns.push(t)}onDone(t){this._onDoneFns.push(t)}onDestroy(t){this._onDestroyFns.push(t)}destroy(){this.init(),this._state>=4||(this._state=4,this._styler.destroy(),this._flushStartFns(),this._flushDoneFns(),this._specialStyles&&this._specialStyles.destroy(),this._onDestroyFns.forEach(t=>t()),this._onDestroyFns=[])}_flushDoneFns(){this._onDoneFns.forEach(t=>t()),this._onDoneFns=[]}_flushStartFns(){this._onStartFns.forEach(t=>t()),this._onStartFns=[]}finish(){this.init(),this._state>=3||(this._state=3,this._styler.finish(),this._flushStartFns(),this._specialStyles&&this._specialStyles.finish(),this._flushDoneFns())}setPosition(t){this._styler.setPosition(t)}getPosition(){return this._styler.getPosition()}hasStarted(){return this._state>=2}init(){this._state>=1||(this._state=1,this._styler.apply(),this._delay&&this._styler.pause())}play(){this.init(),this.hasStarted()||(this._flushStartFns(),this._state=2,this._specialStyles&&this._specialStyles.start()),this._styler.resume()}pause(){this.init(),this._styler.pause()}restart(){this.reset(),this.play()}reset(){this._styler.destroy(),this._buildStyler(),this._styler.apply()}_buildStyler(){this._styler=new oe(this.element,this.animationName,this._duration,this._delay,this.easing,\"forwards\",()=>this.finish())}triggerCallback(t){const e=\"start\"==t?this._onStartFns:this._onDoneFns;e.forEach(t=>t()),e.length=0}beforeDestroy(){this.init();const t={};if(this.hasStarted()){const e=this._state>=3;Object.keys(this._finalStyles).forEach(n=>{\"offset\"!=n&&(t[n]=e?this._finalStyles[n]:$(this.element,n))})}this.currentSnapshot=t}}class pe extends a.d{constructor(t,e){super(),this.element=t,this._startingStyles={},this.__initialized=!1,this._styles=M(e)}init(){!this.__initialized&&this._startingStyles&&(this.__initialized=!0,Object.keys(this._styles).forEach(t=>{this._startingStyles[t]=this.element.style[t]}),super.init())}play(){this._startingStyles&&(this.init(),Object.keys(this._styles).forEach(t=>this.element.style.setProperty(t,this._styles[t])),super.play())}destroy(){this._startingStyles&&(Object.keys(this._startingStyles).forEach(t=>{const e=this._startingStyles[t];e?this.element.style.setProperty(t,e):this.element.style.removeProperty(t)}),this._startingStyles=null,super.destroy())}}class me{constructor(){this._count=0,this._head=document.querySelector(\"head\")}validateStyleProperty(t){return b(t)}matchesElement(t,e){return x(t,e)}containsElement(t,e){return w(t,e)}query(t,e,n){return k(t,e,n)}computeStyle(t,e,n){return window.getComputedStyle(t)[e]}buildKeyframeElement(t,e,n){n=n.map(t=>M(t));let r=`@keyframes ${e} 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ge{constructor(t,e,n,r){this.element=t,this.keyframes=e,this.options=n,this._specialStyles=r,this._onDoneFns=[],this._onStartFns=[],this._onDestroyFns=[],this._initialized=!1,this._finished=!1,this._started=!1,this._destroyed=!1,this.time=0,this.parentPlayer=null,this.currentSnapshot={},this._duration=n.duration,this._delay=n.delay||0,this.time=this._duration+this._delay}_onFinish(){this._finished||(this._finished=!0,this._onDoneFns.forEach(t=>t()),this._onDoneFns=[])}init(){this._buildPlayer(),this._preparePlayerBeforeStart()}_buildPlayer(){if(this._initialized)return;this._initialized=!0;const t=this.keyframes;this.domPlayer=this._triggerWebAnimation(this.element,t,this.options),this._finalKeyframe=t.length?t[t.length-1]:{},this.domPlayer.addEventListener(\"finish\",()=>this._onFinish())}_preparePlayerBeforeStart(){this._delay?this._resetDomPlayerState():this.domPlayer.pause()}_triggerWebAnimation(t,e,n){return 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n=this._elementRef.nativeElement.cloneNode(!0),r=n.querySelectorAll(\"mat-icon, .material-icons\");for(let i=0;i<r.length;i++){const e=r[i];null===(t=e.parentNode)||void 0===t||t.removeChild(e)}return(null===(e=n.textContent)||void 0===e?void 0:e.trim())||\"\"}}return t.\\u0275fac=function(e){return new(e||t)(o.Xb(o.p),o.Xb(b.d),o.Xb(r.h),o.Xb(O,8))},t.\\u0275cmp=o.Rb({type:t,selectors:[[\"\",\"mat-menu-item\",\"\"]],hostAttrs:[1,\"mat-focus-indicator\"],hostVars:10,hostBindings:function(t,e){1&t&&o.lc(\"click\",(function(t){return e._checkDisabled(t)}))(\"mouseenter\",(function(){return 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z=0,j=(()=>{class t{constructor(t,e,n){this._elementRef=t,this._ngZone=e,this._defaultOptions=n,this._xPosition=this._defaultOptions.xPosition,this._yPosition=this._defaultOptions.yPosition,this._directDescendantItems=new o.N,this._tabSubscription=l.a.EMPTY,this._classList={},this._panelAnimationState=\"void\",this._animationDone=new s.a,this.overlayPanelClass=this._defaultOptions.overlayPanelClass||\"\",this.backdropClass=this._defaultOptions.backdropClass,this._overlapTrigger=this._defaultOptions.overlapTrigger,this._hasBackdrop=this._defaultOptions.hasBackdrop,this.closed=new o.s,this.close=this.closed,this.panelId=\"mat-menu-panel-\"+z++}get xPosition(){return this._xPosition}set xPosition(t){this._xPosition=t,this.setPositionClasses()}get yPosition(){return this._yPosition}set yPosition(t){this._yPosition=t,this.setPositionClasses()}get overlapTrigger(){return this._overlapTrigger}set overlapTrigger(t){this._overlapTrigger=Object(i.c)(t)}get hasBackdrop(){return this._hasBackdrop}set hasBackdrop(t){this._hasBackdrop=Object(i.c)(t)}set panelClass(t){const e=this._previousPanelClass;e&&e.length&&e.split(\" \").forEach(t=>{this._classList[t]=!1}),this._previousPanelClass=t,t&&t.length&&(t.split(\" \").forEach(t=>{this._classList[t]=!0}),this._elementRef.nativeElement.className=\"\")}get classList(){return this.panelClass}set classList(t){this.panelClass=t}ngOnInit(){this.setPositionClasses()}ngAfterContentInit(){this._updateDirectDescendants(),this._keyManager=new r.g(this._directDescendantItems).withWrap().withTypeAhead().withHomeAndEnd(),this._tabSubscription=this._keyManager.tabOut.subscribe(()=>this.closed.emit(\"tab\")),this._directDescendantItems.changes.pipe(Object(d.a)(this._directDescendantItems),Object(f.a)(t=>Object(c.a)(...t.map(t=>t._focused)))).subscribe(t=>this._keyManager.updateActiveItem(t))}ngOnDestroy(){this._directDescendantItems.destroy(),this._tabSubscription.unsubscribe(),this.closed.complete()}_hovered(){return this._directDescendantItems.changes.pipe(Object(d.a)(this._directDescendantItems),Object(f.a)(t=>Object(c.a)(...t.map(t=>t._hovered))))}addItem(t){}removeItem(t){}_handleKeydown(t){const e=t.keyCode,n=this._keyManager;switch(e){case a.f:Object(a.r)(t)||(t.preventDefault(),this.closed.emit(\"keydown\"));break;case a.h:this.parentMenu&&\"ltr\"===this.direction&&this.closed.emit(\"keydown\");break;case a.l:this.parentMenu&&\"rtl\"===this.direction&&this.closed.emit(\"keydown\");break;default:e!==a.o&&e!==a.c||n.setFocusOrigin(\"keyboard\"),n.onKeydown(t)}}focusFirstItem(t=\"program\"){this.lazyContent?this._ngZone.onStable.pipe(Object(p.a)(1)).subscribe(()=>this._focusFirstItem(t)):this._focusFirstItem(t)}_focusFirstItem(t){const e=this._keyManager;if(e.setFocusOrigin(t).setFirstItemActive(),!e.activeItem&&this._directDescendantItems.length){let t=this._directDescendantItems.first._getHostElement().parentElement;for(;t;){if(\"menu\"===t.getAttribute(\"role\")){t.focus();break}t=t.parentElement}}}resetActiveItem(){this._keyManager.setActiveItem(-1)}setElevation(t){const e=\"mat-elevation-z\"+Math.min(4+t,24),n=Object.keys(this._classList).find(t=>t.startsWith(\"mat-elevation-z\"));n&&n!==this._previousElevation||(this._previousElevation&&(this._classList[this._previousElevation]=!1),this._classList[e]=!0,this._previousElevation=e)}setPositionClasses(t=this.xPosition,e=this.yPosition){const n=this._classList;n[\"mat-menu-before\"]=\"before\"===t,n[\"mat-menu-after\"]=\"after\"===t,n[\"mat-menu-above\"]=\"above\"===e,n[\"mat-menu-below\"]=\"below\"===e}_startAnimation(){this._panelAnimationState=\"enter\"}_resetAnimation(){this._panelAnimationState=\"void\"}_onAnimationDone(t){this._animationDone.next(t),this._isAnimating=!1}_onAnimationStart(t){this._isAnimating=!0,\"enter\"===t.toState&&0===this._keyManager.activeItemIndex&&(t.element.scrollTop=0)}_updateDirectDescendants(){this._allItems.changes.pipe(Object(d.a)(this._allItems)).subscribe(t=>{this._directDescendantItems.reset(t.filter(t=>t._parentMenu===this)),this._directDescendantItems.notifyOnChanges()})}}return t.\\u0275fac=function(e){return new(e||t)(o.Xb(o.p),o.Xb(o.H),o.Xb(R))},t.\\u0275dir=o.Sb({type:t,contentQueries:function(t,e,n){if(1&t&&(o.Qb(n,E,!0),o.Qb(n,P,!0),o.Qb(n,P,!1)),2&t){let 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t{constructor(t,e,n,r,i,a,s,c){this._overlay=t,this._element=e,this._viewContainerRef=n,this._menuItemInstance=a,this._dir=s,this._focusMonitor=c,this._overlayRef=null,this._menuOpen=!1,this._closingActionsSubscription=l.a.EMPTY,this._hoverSubscription=l.a.EMPTY,this._menuCloseSubscription=l.a.EMPTY,this._handleTouchStart=()=>this._openedBy=\"touch\",this._openedBy=null,this.restoreFocus=!0,this.menuOpened=new o.s,this.onMenuOpen=this.menuOpened,this.menuClosed=new o.s,this.onMenuClose=this.menuClosed,this._scrollStrategy=r,this._parentMaterialMenu=i instanceof j?i:void 0,e.nativeElement.addEventListener(\"touchstart\",this._handleTouchStart,Y),a&&(a._triggersSubmenu=this.triggersSubmenu())}get _deprecatedMatMenuTriggerFor(){return this.menu}set _deprecatedMatMenuTriggerFor(t){this.menu=t}get menu(){return this._menu}set menu(t){t!==this._menu&&(this._menu=t,this._menuCloseSubscription.unsubscribe(),t&&(this._menuCloseSubscription=t.close.subscribe(t=>{this._destroyMenu(),\"click\"!==t&&\"tab\"!==t||!this._parentMaterialMenu||this._parentMaterialMenu.closed.emit(t)})))}ngAfterContentInit(){this._checkMenu(),this._handleHover()}ngOnDestroy(){this._overlayRef&&(this._overlayRef.dispose(),this._overlayRef=null),this._element.nativeElement.removeEventListener(\"touchstart\",this._handleTouchStart,Y),this._menuCloseSubscription.unsubscribe(),this._closingActionsSubscription.unsubscribe(),this._hoverSubscription.unsubscribe()}get menuOpen(){return this._menuOpen}get dir(){return this._dir&&\"rtl\"===this._dir.value?\"rtl\":\"ltr\"}triggersSubmenu(){return!(!this._menuItemInstance||!this._parentMaterialMenu)}toggleMenu(){return this._menuOpen?this.closeMenu():this.openMenu()}openMenu(){if(this._menuOpen)return;this._checkMenu();const t=this._createOverlay(),e=t.getConfig();this._setPosition(e.positionStrategy),e.hasBackdrop=null==this.menu.hasBackdrop?!this.triggersSubmenu():this.menu.hasBackdrop,t.attach(this._getPortal()),this.menu.lazyContent&&this.menu.lazyContent.attach(this.menuData),this._closingActionsSubscription=this._menuClosingActions().subscribe(()=>this.closeMenu()),this._initMenu(),this.menu instanceof j&&this.menu._startAnimation()}closeMenu(){this.menu.close.emit()}focus(t,e){this._focusMonitor&&t?this._focusMonitor.focusVia(this._element,t,e):this._element.nativeElement.focus(e)}_destroyMenu(){if(!this._overlayRef||!this.menuOpen)return;const t=this.menu;this._closingActionsSubscription.unsubscribe(),this._overlayRef.detach(),this._restoreFocus(),t instanceof j?(t._resetAnimation(),t.lazyContent?t._animationDone.pipe(Object(m.a)(t=>\"void\"===t.toState),Object(p.a)(1),Object(g.a)(t.lazyContent._attached)).subscribe({next:()=>t.lazyContent.detach(),complete:()=>this._setIsMenuOpen(!1)}):this._setIsMenuOpen(!1)):(this._setIsMenuOpen(!1),t.lazyContent&&t.lazyContent.detach())}_initMenu(){this.menu.parentMenu=this.triggersSubmenu()?this._parentMaterialMenu:void 0,this.menu.direction=this.dir,this._setMenuElevation(),this._setIsMenuOpen(!0),this.menu.focusFirstItem(this._openedBy||\"program\")}_setMenuElevation(){if(this.menu.setElevation){let t=0,e=this.menu.parentMenu;for(;e;)t++,e=e.parentMenu;this.menu.setElevation(t)}}_restoreFocus(){this.restoreFocus&&(this._openedBy?this.triggersSubmenu()||this.focus(this._openedBy):this.focus()),this._openedBy=null}_setIsMenuOpen(t){this._menuOpen=t,this._menuOpen?this.menuOpened.emit():this.menuClosed.emit(),this.triggersSubmenu()&&(this._menuItemInstance._highlighted=t)}_checkMenu(){}_createOverlay(){if(!this._overlayRef){const t=this._getOverlayConfig();this._subscribeToPositions(t.positionStrategy),this._overlayRef=this._overlay.create(t),this._overlayRef.keydownEvents().subscribe()}return this._overlayRef}_getOverlayConfig(){return new w.d({positionStrategy:this._overlay.position().flexibleConnectedTo(this._element).withLockedPosition().withGrowAfterOpen().withTransformOriginOn(\".mat-menu-panel, 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t=this._overlayRef.backdropClick(),e=this._overlayRef.detachments(),n=this._parentMaterialMenu?this._parentMaterialMenu.closed:Object(u.a)(),r=this._parentMaterialMenu?this._parentMaterialMenu._hovered().pipe(Object(m.a)(t=>t!==this._menuItemInstance),Object(m.a)(()=>this._menuOpen)):Object(u.a)();return Object(c.a)(t,n,r,e)}_handleMousedown(t){Object(r.l)(t)||(this._openedBy=0===t.button?\"mouse\":null,this.triggersSubmenu()&&t.preventDefault())}_handleKeydown(t){const 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t.\\u0275mod=o.Vb({type:t}),t.\\u0275inj=o.Ub({factory:function(e){return new(e||t)},providers:[B],imports:[x.i]}),t})(),U=(()=>{class t{}return t.\\u0275mod=o.Vb({type:t}),t.\\u0275inj=o.Ub({factory:function(e){return new(e||t)},providers:[B],imports:[[b.c,x.i,x.s,w.f,V],M.b,x.i,V]}),t})()},SUpr:function(t,e,n){\"use strict\";n.d(e,\"a\",(function(){return i}));var r=n(\"fXoL\");let i=(()=>{class t{constructor(t){this.colorSchemePrefix=\"color-scheme-\",this.renderer=t.createRenderer(null,null)}_detectPrefersColorScheme(){this.colorScheme=\"not all\"!==window.matchMedia(\"(prefers-color-scheme)\").media?window.matchMedia(\"(prefers-color-scheme: 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mat-progress-spinner-stroke-rotate-100{0%{stroke-dashoffset:268.606171575px;transform:rotate(0)}12.5%{stroke-dashoffset:56.5486677px;transform:rotate(0)}12.5001%{stroke-dashoffset:56.5486677px;transform:rotateX(180deg) rotate(72.5deg)}25%{stroke-dashoffset:268.606171575px;transform:rotateX(180deg) rotate(72.5deg)}25.0001%{stroke-dashoffset:268.606171575px;transform:rotate(270deg)}37.5%{stroke-dashoffset:56.5486677px;transform:rotate(270deg)}37.5001%{stroke-dashoffset:56.5486677px;transform:rotateX(180deg) rotate(161.5deg)}50%{stroke-dashoffset:268.606171575px;transform:rotateX(180deg) rotate(161.5deg)}50.0001%{stroke-dashoffset:268.606171575px;transform:rotate(180deg)}62.5%{stroke-dashoffset:56.5486677px;transform:rotate(180deg)}62.5001%{stroke-dashoffset:56.5486677px;transform:rotateX(180deg) rotate(251.5deg)}75%{stroke-dashoffset:268.606171575px;transform:rotateX(180deg) 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H{constructor(t,e,n,r,i){this._elementRef=t,this._defaultErrorStateMatcher=e,this._parentForm=n,this._parentFormGroup=r,this.ngControl=i}}const V=Object(o.x)(Object(o.B)(Object(o.y)(Object(o.z)(H)))),U=new a.w(\"MatSelectTrigger\");let W=(()=>{class t extends V{constructor(t,e,n,r,i,o,s,l,c,u,h,d,x,w){var k,M,T;super(i,r,s,l,u),this._viewportRuler=t,this._changeDetectorRef=e,this._ngZone=n,this._dir=o,this._parentFormField=c,this.ngControl=u,this._liveAnnouncer=x,this._defaultOptions=w,this._panelOpen=!1,this._compareWith=(t,e)=>t===e,this._uid=\"mat-select-\"+z++,this._triggerAriaLabelledBy=null,this._destroy=new f.a,this._onChange=()=>{},this._onTouched=()=>{},this._valueId=\"mat-select-value-\"+z++,this._panelDoneAnimatingStream=new f.a,this._overlayPanelClass=(null===(k=this._defaultOptions)||void 0===k?void 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0:w.typeaheadDebounceInterval)&&(this._typeaheadDebounceInterval=w.typeaheadDebounceInterval),this._scrollStrategyFactory=d,this._scrollStrategy=this._scrollStrategyFactory(),this.tabIndex=parseInt(h)||0,this.id=this.id}get focused(){return this._focused||this._panelOpen}get placeholder(){return this._placeholder}set placeholder(t){this._placeholder=t,this.stateChanges.next()}get required(){return this._required}set required(t){this._required=Object(u.c)(t),this.stateChanges.next()}get multiple(){return this._multiple}set multiple(t){this._multiple=Object(u.c)(t)}get disableOptionCentering(){return this._disableOptionCentering}set disableOptionCentering(t){this._disableOptionCentering=Object(u.c)(t)}get compareWith(){return this._compareWith}set compareWith(t){this._compareWith=t,this._selectionModel&&this._initializeSelection()}get value(){return this._value}set value(t){t!==this._value&&(this.options&&this._setSelectionByValue(t),this._value=t)}get typeaheadDebounceInterval(){return this._typeaheadDebounceInterval}set typeaheadDebounceInterval(t){this._typeaheadDebounceInterval=Object(u.f)(t)}get id(){return this._id}set id(t){this._id=t||this._uid,this.stateChanges.next()}ngOnInit(){this._selectionModel=new h.c(this.multiple),this.stateChanges.next(),this._panelDoneAnimatingStream.pipe(Object(x.a)(),Object(w.a)(this._destroy)).subscribe(()=>this._panelDoneAnimating(this.panelOpen))}ngAfterContentInit(){this._initKeyManager(),this._selectionModel.changed.pipe(Object(w.a)(this._destroy)).subscribe(t=>{t.added.forEach(t=>t.select()),t.removed.forEach(t=>t.deselect())}),this.options.changes.pipe(Object(g.a)(null),Object(w.a)(this._destroy)).subscribe(()=>{this._resetOptions(),this._initializeSelection()})}ngDoCheck(){const t=this._getTriggerAriaLabelledby();if(t!==this._triggerAriaLabelledBy){const e=this._elementRef.nativeElement;this._triggerAriaLabelledBy=t,t?e.setAttribute(\"aria-labelledby\",t):e.removeAttribute(\"aria-labelledby\")}this.ngControl&&this.updateErrorState()}ngOnChanges(t){t.disabled&&this.stateChanges.next(),t.typeaheadDebounceInterval&&this._keyManager&&this._keyManager.withTypeAhead(this._typeaheadDebounceInterval)}ngOnDestroy(){this._destroy.next(),this._destroy.complete(),this.stateChanges.complete()}toggle(){this.panelOpen?this.close():this.open()}open(){this._canOpen()&&(this._panelOpen=!0,this._keyManager.withHorizontalOrientation(null),this._highlightCorrectOption(),this._changeDetectorRef.markForCheck())}close(){this._panelOpen&&(this._panelOpen=!1,this._keyManager.withHorizontalOrientation(this._isRtl()?\"rtl\":\"ltr\"),this._changeDetectorRef.markForCheck(),this._onTouched())}writeValue(t){this.value=t}registerOnChange(t){this._onChange=t}registerOnTouched(t){this._onTouched=t}setDisabledState(t){this.disabled=t,this._changeDetectorRef.markForCheck(),this.stateChanges.next()}get 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e=this._keyManager,n=t.keyCode,r=n===d.c||n===d.o,i=e.isTyping();if(r&&t.altKey)t.preventDefault(),this.close();else if(i||n!==d.e&&n!==d.m||!e.activeItem||Object(d.r)(t))if(!i&&this._multiple&&n===d.a&&t.ctrlKey){t.preventDefault();const e=this.options.some(t=>!t.disabled&&!t.selected);this.options.forEach(t=>{t.disabled||(e?t.select():t.deselect())})}else{const n=e.activeItemIndex;e.onKeydown(t),this._multiple&&r&&t.shiftKey&&e.activeItem&&e.activeItemIndex!==n&&e.activeItem._selectViaInteraction()}else t.preventDefault(),e.activeItem._selectViaInteraction()}_onFocus(){this.disabled||(this._focused=!0,this.stateChanges.next())}_onBlur(){this._focused=!1,this.disabled||this.panelOpen||(this._onTouched(),this._changeDetectorRef.markForCheck(),this.stateChanges.next())}_onAttached(){this.overlayDir.positionChange.pipe(Object(v.a)(1)).subscribe(()=>{this._changeDetectorRef.detectChanges(),this._positioningSettled()})}_getPanelTheme(){return this._parentFormField?\"mat-\"+this._parentFormField.color:\"\"}get empty(){return!this._selectionModel||this._selectionModel.isEmpty()}_initializeSelection(){Promise.resolve().then(()=>{this._setSelectionByValue(this.ngControl?this.ngControl.value:this._value),this.stateChanges.next()})}_setSelectionByValue(t){if(this._selectionModel.selected.forEach(t=>t.setInactiveStyles()),this._selectionModel.clear(),this.multiple&&t)Array.isArray(t),t.forEach(t=>this._selectValue(t)),this._sortValues();else{const e=this._selectValue(t);e?this._keyManager.updateActiveItem(e):this.panelOpen||this._keyManager.updateActiveItem(-1)}this._changeDetectorRef.markForCheck()}_selectValue(t){const e=this.options.find(e=>{try{return null!=e.value&&this._compareWith(e.value,t)}catch(n){return!1}});return e&&this._selectionModel.select(e),e}_initKeyManager(){this._keyManager=new c.b(this.options).withTypeAhead(this._typeaheadDebounceInterval).withVerticalOrientation().withHorizontalOrientation(this._isRtl()?\"rtl\":\"ltr\").withHomeAndEnd().withAllowedModifierKeys([\"shiftKey\"]),this._keyManager.tabOut.pipe(Object(w.a)(this._destroy)).subscribe(()=>{this.panelOpen&&(!this.multiple&&this._keyManager.activeItem&&this._keyManager.activeItem._selectViaInteraction(),this.focus(),this.close())}),this._keyManager.change.pipe(Object(w.a)(this._destroy)).subscribe(()=>{this._panelOpen&&this.panel?this._scrollOptionIntoView(this._keyManager.activeItemIndex||0):this._panelOpen||this.multiple||!this._keyManager.activeItem||this._keyManager.activeItem._selectViaInteraction()})}_resetOptions(){const t=Object(m.a)(this.options.changes,this._destroy);this.optionSelectionChanges.pipe(Object(w.a)(t)).subscribe(t=>{this._onSelect(t.source,t.isUserInput),t.isUserInput&&!this.multiple&&this._panelOpen&&(this.close(),this.focus())}),Object(m.a)(...this.options.map(t=>t._stateChanges)).pipe(Object(w.a)(t)).subscribe(()=>{this._changeDetectorRef.markForCheck(),this.stateChanges.next()})}_onSelect(t,e){const n=this._selectionModel.isSelected(t);null!=t.value||this._multiple?(n!==t.selected&&(t.selected?this._selectionModel.select(t):this._selectionModel.deselect(t)),e&&this._keyManager.setActiveItem(t),this.multiple&&(this._sortValues(),e&&this.focus())):(t.deselect(),this._selectionModel.clear(),null!=this.value&&this._propagateChanges(t.value)),n!==this._selectionModel.isSelected(t)&&this._propagateChanges(),this.stateChanges.next()}_sortValues(){if(this.multiple){const 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Math.min(Math.max(0,r*t-e+r/2),n)}ngOnInit(){super.ngOnInit(),this._viewportRuler.change().pipe(Object(w.a)(this._destroy)).subscribe(()=>{this.panelOpen&&(this._triggerRect=this.trigger.nativeElement.getBoundingClientRect(),this._changeDetectorRef.markForCheck())})}open(){super._canOpen()&&(super.open(),this._triggerRect=this.trigger.nativeElement.getBoundingClientRect(),this._triggerFontSize=parseInt(getComputedStyle(this.trigger.nativeElement).fontSize||\"0\"),this._calculateOverlayPosition(),this._ngZone.onStable.pipe(Object(v.a)(1)).subscribe(()=>{this._triggerFontSize&&this.overlayDir.overlayRef&&this.overlayDir.overlayRef.overlayElement&&(this.overlayDir.overlayRef.overlayElement.style.fontSize=this._triggerFontSize+\"px\")}))}_scrollOptionIntoView(t){const 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r=this._getItemHeight(),i=(r-this._triggerRect.height)/2,a=Math.floor(j/r);let o;return this.disableOptionCentering?0:(o=0===this._scrollTop?t*r:this._scrollTop===n?(t-(this._getItemCount()-a))*r+(r-(this._getItemCount()*r-j)%r):e-r/2,Math.round(-1*o-i))}_checkOverlayWithinViewport(t){const e=this._getItemHeight(),n=this._viewportRuler.getViewportSize(),r=this._triggerRect.top-8,i=n.height-this._triggerRect.bottom-8,a=Math.abs(this._offsetY),o=Math.min(this._getItemCount()*e,j)-a-this._triggerRect.height;o>i?this._adjustPanelUp(o,i):a>r?this._adjustPanelDown(a,r,t):this._transformOrigin=this._getOriginBasedOnOption()}_adjustPanelUp(t,e){const n=Math.round(t-e);this._scrollTop-=n,this._offsetY-=n,this._transformOrigin=this._getOriginBasedOnOption(),this._scrollTop<=0&&(this._scrollTop=0,this._offsetY=0,this._transformOrigin=\"50% bottom 0px\")}_adjustPanelDown(t,e,n){const 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new(e||t)(a.Xb(a.V),a.Xb(a.z),a.Xb(w,8))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"\",\"cdkHeaderRowDef\",\"\"]],inputs:{columns:[\"cdkHeaderRowDef\",\"columns\"],sticky:[\"cdkHeaderRowDefSticky\",\"sticky\"]},features:[a.Ib,a.Jb]}),t})();class Y extends j{}const H=x(Y);let V=(()=>{class t extends H{constructor(t,e,n){super(t,e),this._table=n}ngOnChanges(t){super.ngOnChanges(t)}}return t.\\u0275fac=function(e){return new(e||t)(a.Xb(a.V),a.Xb(a.z),a.Xb(w,8))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"\",\"cdkFooterRowDef\",\"\"]],inputs:{columns:[\"cdkFooterRowDef\",\"columns\"],sticky:[\"cdkFooterRowDefSticky\",\"sticky\"]},features:[a.Ib,a.Jb]}),t})(),U=(()=>{class t extends j{constructor(t,e,n){super(t,e),this._table=n}}return t.\\u0275fac=function(e){return new(e||t)(a.Xb(a.V),a.Xb(a.z),a.Xb(w,8))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"\",\"cdkRowDef\",\"\"]],inputs:{columns:[\"cdkRowDefColumns\",\"columns\"],when:[\"cdkRowDefWhen\",\"when\"]},features:[a.Ib]}),t})(),W=(()=>{class t{constructor(e){this._viewContainer=e,t.mostRecentCellOutlet=this}ngOnDestroy(){t.mostRecentCellOutlet===this&&(t.mostRecentCellOutlet=null)}}return t.\\u0275fac=function(e){return new(e||t)(a.Xb(a.Z))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"\",\"cdkCellOutlet\",\"\"]]}),t.mostRecentCellOutlet=null,t})(),q=(()=>{class t{}return t.\\u0275fac=function(e){return new(e||t)},t.\\u0275cmp=a.Rb({type:t,selectors:[[\"cdk-header-row\"],[\"tr\",\"cdk-header-row\",\"\"]],hostAttrs:[\"role\",\"row\",1,\"cdk-header-row\"],decls:1,vars:0,consts:[[\"cdkCellOutlet\",\"\"]],template:function(t,e){1&t&&a.Zb(0,0)},directives:[W],encapsulation:2}),t})(),G=(()=>{class t{}return t.\\u0275fac=function(e){return new(e||t)},t.\\u0275cmp=a.Rb({type:t,selectors:[[\"cdk-footer-row\"],[\"tr\",\"cdk-footer-row\",\"\"]],hostAttrs:[\"role\",\"row\",1,\"cdk-footer-row\"],decls:1,vars:0,consts:[[\"cdkCellOutlet\",\"\"]],template:function(t,e){1&t&&a.Zb(0,0)},directives:[W],encapsulation:2}),t})(),X=(()=>{class t{}return t.\\u0275fac=function(e){return new(e||t)},t.\\u0275cmp=a.Rb({type:t,selectors:[[\"cdk-row\"],[\"tr\",\"cdk-row\",\"\"]],hostAttrs:[\"role\",\"row\",1,\"cdk-row\"],decls:1,vars:0,consts:[[\"cdkCellOutlet\",\"\"]],template:function(t,e){1&t&&a.Zb(0,0)},directives:[W],encapsulation:2}),t})(),Z=(()=>{class t{constructor(t){this.templateRef=t}}return t.\\u0275fac=function(e){return new(e||t)(a.Xb(a.V))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"ng-template\",\"cdkNoDataRow\",\"\"]]}),t})();const J=[\"top\",\"bottom\",\"left\",\"right\"];class K{constructor(t,e,n,r,i=!0,a=!0,o){this._isNativeHtmlTable=t,this._stickCellCss=e,this.direction=n,this._coalescedStyleScheduler=r,this._isBrowser=i,this._needsPositionStickyOnElement=a,this._positionListener=o,this._cachedCellWidths=[],this._borderCellCss={top:e+\"-border-elem-top\",bottom:e+\"-border-elem-bottom\",left:e+\"-border-elem-left\",right:e+\"-border-elem-right\"}}clearStickyPositioning(t,e){const n=[];for(const r of t)if(r.nodeType===r.ELEMENT_NODE){n.push(r);for(let t=0;t<r.children.length;t++)n.push(r.children[t])}this._scheduleStyleChanges(()=>{for(const t of n)this._removeStickyStyle(t,e)})}updateStickyColumns(t,e,n,r=!0){if(!t.length||!this._isBrowser||!e.some(t=>t)&&!n.some(t=>t))return void(this._positionListener&&(this._positionListener.stickyColumnsUpdated({sizes:[]}),this._positionListener.stickyEndColumnsUpdated({sizes:[]})));const i=t[0],a=i.children.length,o=this._getCellWidths(i,r),s=this._getStickyStartColumnPositions(o,e),l=this._getStickyEndColumnPositions(o,n),c=e.lastIndexOf(!0),u=n.indexOf(!0);this._scheduleStyleChanges(()=>{const r=\"rtl\"===this.direction,i=r?\"right\":\"left\",h=r?\"left\":\"right\";for(const o of t)for(let t=0;t<a;t++){const r=o.children[t];e[t]&&this._addStickyStyle(r,i,s[t],t===c),n[t]&&this._addStickyStyle(r,h,l[t],t===u)}this._positionListener&&(this._positionListener.stickyColumnsUpdated({sizes:-1===c?[]:o.slice(0,c+1).map((t,n)=>e[n]?t:null)}),this._positionListener.stickyEndColumnsUpdated({sizes:-1===u?[]:o.slice(u).map((t,e)=>n[e+u]?t:null).reverse()}))})}stickRows(t,e,n){if(!this._isBrowser)return;const r=\"bottom\"===n?t.slice().reverse():t,i=\"bottom\"===n?e.slice().reverse():e,a=[],o=[],s=[];for(let c=0,u=0;c<r.length;c++){if(a[c]=u,!i[c])continue;const t=r[c];s[c]=this._isNativeHtmlTable?Array.from(t.children):[t];const e=t.getBoundingClientRect().height;u+=e,o[c]=e}const l=i.lastIndexOf(!0);this._scheduleStyleChanges(()=>{var t,e;for(let o=0;o<r.length;o++){if(!i[o])continue;const t=a[o],e=o===l;for(const r of s[o])this._addStickyStyle(r,n,t,e)}\"top\"===n?null===(t=this._positionListener)||void 0===t||t.stickyHeaderRowsUpdated({sizes:o}):null===(e=this._positionListener)||void 0===e||e.stickyFooterRowsUpdated({sizes:o})})}updateStickyFooterContainer(t,e){if(!this._isNativeHtmlTable)return;const n=t.querySelector(\"tfoot\");this._scheduleStyleChanges(()=>{e.some(t=>!t)?this._removeStickyStyle(n,[\"bottom\"]):this._addStickyStyle(n,\"bottom\",0,!1)})}_removeStickyStyle(t,e){for(const n of e)t.style[n]=\"\",t.classList.remove(this._borderCellCss[n]);J.some(n=>-1===e.indexOf(n)&&t.style[n])?t.style.zIndex=this._getCalculatedZIndex(t):(t.style.zIndex=\"\",this._needsPositionStickyOnElement&&(t.style.position=\"\"),t.classList.remove(this._stickCellCss))}_addStickyStyle(t,e,n,r){t.classList.add(this._stickCellCss),r&&t.classList.add(this._borderCellCss[e]),t.style[e]=n+\"px\",t.style.zIndex=this._getCalculatedZIndex(t),this._needsPositionStickyOnElement&&(t.style.cssText+=\"position: -webkit-sticky; position: sticky; \")}_getCalculatedZIndex(t){const e={top:100,bottom:10,left:1,right:1};let n=0;for(const r of J)t.style[r]&&(n+=e[r]);return n?\"\"+n:\"\"}_getCellWidths(t,e=!0){if(!e&&this._cachedCellWidths.length)return this._cachedCellWidths;const n=[],r=t.children;for(let i=0;i<r.length;i++)n.push(r[i].getBoundingClientRect().width);return this._cachedCellWidths=n,n}_getStickyStartColumnPositions(t,e){const n=[];let r=0;for(let i=0;i<t.length;i++)e[i]&&(n[i]=r,r+=t[i]);return n}_getStickyEndColumnPositions(t,e){const n=[];let r=0;for(let i=t.length;i>0;i--)e[i]&&(n[i]=r,r+=t[i]);return n}_scheduleStyleChanges(t){this._coalescedStyleScheduler?this._coalescedStyleScheduler.schedule(t):t()}}const $=new a.w(\"CDK_SPL\");let Q=(()=>{class t{constructor(t,e){this.viewContainer=t,this.elementRef=e}}return t.\\u0275fac=function(e){return new(e||t)(a.Xb(a.Z),a.Xb(a.p))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"\",\"rowOutlet\",\"\"]]}),t})(),tt=(()=>{class t{constructor(t,e){this.viewContainer=t,this.elementRef=e}}return t.\\u0275fac=function(e){return new(e||t)(a.Xb(a.Z),a.Xb(a.p))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"\",\"headerRowOutlet\",\"\"]]}),t})(),et=(()=>{class t{constructor(t,e){this.viewContainer=t,this.elementRef=e}}return t.\\u0275fac=function(e){return new(e||t)(a.Xb(a.Z),a.Xb(a.p))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"\",\"footerRowOutlet\",\"\"]]}),t})(),nt=(()=>{class t{constructor(t,e){this.viewContainer=t,this.elementRef=e}}return t.\\u0275fac=function(e){return new(e||t)(a.Xb(a.Z),a.Xb(a.p))},t.\\u0275dir=a.Sb({type:t,selectors:[[\"\",\"noDataRowOutlet\",\"\"]]}),t})(),rt=(()=>{class t{constructor(t,e,n,r,i,a,o,s,l,c,h){this._differs=t,this._changeDetectorRef=e,this._elementRef=n,this._dir=i,this._platform=o,this._viewRepeater=s,this._coalescedStyleScheduler=l,this._stickyPositioningListener=c,this._viewportRuler=h,this._onDestroy=new u.a,this._columnDefsByName=new Map,this._customColumnDefs=new Set,this._customRowDefs=new Set,this._customHeaderRowDefs=new Set,this._customFooterRowDefs=new Set,this._headerRowDefChanged=!0,this._footerRowDefChanged=!0,this._stickyColumnStylesNeedReset=!0,this._forceRecalculateCellWidths=!0,this._cachedRenderRowsMap=new Map,this.stickyCssClass=\"cdk-table-sticky\",this.needsPositionStickyOnElement=!0,this._isShowingNoDataRow=!1,this._multiTemplateDataRows=!1,this._fixedLayout=!1,this.viewChange=new d.a({start:0,end:Number.MAX_VALUE}),r||this._elementRef.nativeElement.setAttribute(\"role\",\"grid\"),this._document=a,this._isNativeHtmlTable=\"TABLE\"===this._elementRef.nativeElement.nodeName}get trackBy(){return this._trackByFn}set trackBy(t){this._trackByFn=t}get dataSource(){return this._dataSource}set dataSource(t){this._dataSource!==t&&this._switchDataSource(t)}get multiTemplateDataRows(){return this._multiTemplateDataRows}set multiTemplateDataRows(t){this._multiTemplateDataRows=Object(r.c)(t),this._rowOutlet&&this._rowOutlet.viewContainer.length&&(this._forceRenderDataRows(),this.updateStickyColumnStyles())}get fixedLayout(){return this._fixedLayout}set fixedLayout(t){this._fixedLayout=Object(r.c)(t),this._forceRecalculateCellWidths=!0,this._stickyColumnStylesNeedReset=!0}ngOnInit(){this._setupStickyStyler(),this._isNativeHtmlTable&&this._applyNativeTableSections(),this._dataDiffer=this._differs.find([]).create((t,e)=>this.trackBy?this.trackBy(e.dataIndex,e.data):e),this._viewportRuler&&this._viewportRuler.change().pipe(Object(m.a)(this._onDestroy)).subscribe(()=>{this._forceRecalculateCellWidths=!0})}ngAfterContentChecked(){this._cacheRowDefs(),this._cacheColumnDefs();const t=this._renderUpdatedColumns()||this._headerRowDefChanged||this._footerRowDefChanged;this._stickyColumnStylesNeedReset=this._stickyColumnStylesNeedReset||t,this._forceRecalculateCellWidths=t,this._headerRowDefChanged&&(this._forceRenderHeaderRows(),this._headerRowDefChanged=!1),this._footerRowDefChanged&&(this._forceRenderFooterRows(),this._footerRowDefChanged=!1),this.dataSource&&this._rowDefs.length>0&&!this._renderChangeSubscription?this._observeRenderChanges():this._stickyColumnStylesNeedReset&&this.updateStickyColumnStyles(),this._checkStickyStates()}ngOnDestroy(){this._rowOutlet.viewContainer.clear(),this._noDataRowOutlet.viewContainer.clear(),this._headerRowOutlet.viewContainer.clear(),this._footerRowOutlet.viewContainer.clear(),this._cachedRenderRowsMap.clear(),this._onDestroy.next(),this._onDestroy.complete(),Object(i.h)(this.dataSource)&&this.dataSource.disconnect(this)}renderRows(){this._renderRows=this._getAllRenderRows();const t=this._dataDiffer.diff(this._renderRows);if(!t)return void this._updateNoDataRow();const e=this._rowOutlet.viewContainer;this._viewRepeater?this._viewRepeater.applyChanges(t,e,(t,e,n)=>this._getEmbeddedViewArgs(t.item,n),t=>t.item.data,t=>{1===t.operation&&t.context&&this._renderCellTemplateForItem(t.record.item.rowDef,t.context)}):t.forEachOperation((t,n,r)=>{if(null==t.previousIndex){const e=t.item;this._renderRow(this._rowOutlet,e.rowDef,r,{$implicit:e.data})}else if(null==r)e.remove(n);else{const t=e.get(n);e.move(t,r)}}),this._updateRowIndexContext(),t.forEachIdentityChange(t=>{e.get(t.currentIndex).context.$implicit=t.item.data}),this._updateNoDataRow(),this.updateStickyColumnStyles()}addColumnDef(t){this._customColumnDefs.add(t)}removeColumnDef(t){this._customColumnDefs.delete(t)}addRowDef(t){this._customRowDefs.add(t)}removeRowDef(t){this._customRowDefs.delete(t)}addHeaderRowDef(t){this._customHeaderRowDefs.add(t),this._headerRowDefChanged=!0}removeHeaderRowDef(t){this._customHeaderRowDefs.delete(t),this._headerRowDefChanged=!0}addFooterRowDef(t){this._customFooterRowDefs.add(t),this._footerRowDefChanged=!0}removeFooterRowDef(t){this._customFooterRowDefs.delete(t),this._footerRowDefChanged=!0}setNoDataRow(t){this._customNoDataRow=t}updateStickyHeaderRowStyles(){const t=this._getRenderedRows(this._headerRowOutlet),e=this._elementRef.nativeElement.querySelector(\"thead\");e&&(e.style.display=t.length?\"\":\"none\");const n=this._headerRowDefs.map(t=>t.sticky);this._stickyStyler.clearStickyPositioning(t,[\"top\"]),this._stickyStyler.stickRows(t,n,\"top\"),this._headerRowDefs.forEach(t=>t.resetStickyChanged())}updateStickyFooterRowStyles(){const t=this._getRenderedRows(this._footerRowOutlet),e=this._elementRef.nativeElement.querySelector(\"tfoot\");e&&(e.style.display=t.length?\"\":\"none\");const n=this._footerRowDefs.map(t=>t.sticky);this._stickyStyler.clearStickyPositioning(t,[\"bottom\"]),this._stickyStyler.stickRows(t,n,\"bottom\"),this._stickyStyler.updateStickyFooterContainer(this._elementRef.nativeElement,n),this._footerRowDefs.forEach(t=>t.resetStickyChanged())}updateStickyColumnStyles(){const t=this._getRenderedRows(this._headerRowOutlet),e=this._getRenderedRows(this._rowOutlet),n=this._getRenderedRows(this._footerRowOutlet);(this._isNativeHtmlTable&&!this._fixedLayout||this._stickyColumnStylesNeedReset)&&(this._stickyStyler.clearStickyPositioning([...t,...e,...n],[\"left\",\"right\"]),this._stickyColumnStylesNeedReset=!1),t.forEach((t,e)=>{this._addStickyColumnStyles([t],this._headerRowDefs[e])}),this._rowDefs.forEach(t=>{const n=[];for(let r=0;r<e.length;r++)this._renderRows[r].rowDef===t&&n.push(e[r]);this._addStickyColumnStyles(n,t)}),n.forEach((t,e)=>{this._addStickyColumnStyles([t],this._footerRowDefs[e])}),Array.from(this._columnDefsByName.values()).forEach(t=>t.resetStickyChanged())}_getAllRenderRows(){const t=[],e=this._cachedRenderRowsMap;this._cachedRenderRowsMap=new Map;for(let n=0;n<this._data.length;n++){let r=this._data[n];const i=this._getRenderRowsForData(r,n,e.get(r));this._cachedRenderRowsMap.has(r)||this._cachedRenderRowsMap.set(r,new WeakMap);for(let e=0;e<i.length;e++){let n=i[e];const r=this._cachedRenderRowsMap.get(n.data);r.has(n.rowDef)?r.get(n.rowDef).push(n):r.set(n.rowDef,[n]),t.push(n)}}return t}_getRenderRowsForData(t,e,n){return this._getRowDefs(t,e).map(r=>{const i=n&&n.has(r)?n.get(r):[];if(i.length){const t=i.shift();return t.dataIndex=e,t}return{data:t,rowDef:r,dataIndex:e}})}_cacheColumnDefs(){this._columnDefsByName.clear(),it(this._getOwnDefs(this._contentColumnDefs),this._customColumnDefs).forEach(t=>{this._columnDefsByName.has(t.name),this._columnDefsByName.set(t.name,t)})}_cacheRowDefs(){this._headerRowDefs=it(this._getOwnDefs(this._contentHeaderRowDefs),this._customHeaderRowDefs),this._footerRowDefs=it(this._getOwnDefs(this._contentFooterRowDefs),this._customFooterRowDefs),this._rowDefs=it(this._getOwnDefs(this._contentRowDefs),this._customRowDefs);const t=this._rowDefs.filter(t=>!t.when);this._defaultRowDef=t[0]}_renderUpdatedColumns(){const t=(t,e)=>t||!!e.getColumnsDiff(),e=this._rowDefs.reduce(t,!1);e&&this._forceRenderDataRows();const n=this._headerRowDefs.reduce(t,!1);n&&this._forceRenderHeaderRows();const r=this._footerRowDefs.reduce(t,!1);return r&&this._forceRenderFooterRows(),e||n||r}_switchDataSource(t){this._data=[],Object(i.h)(this.dataSource)&&this.dataSource.disconnect(this),this._renderChangeSubscription&&(this._renderChangeSubscription.unsubscribe(),this._renderChangeSubscription=null),t||(this._dataDiffer&&this._dataDiffer.diff([]),this._rowOutlet.viewContainer.clear()),this._dataSource=t}_observeRenderChanges(){if(!this.dataSource)return;let t;Object(i.h)(this.dataSource)?t=this.dataSource.connect(this):Object(f.a)(this.dataSource)?t=this.dataSource:Array.isArray(this.dataSource)&&(t=Object(p.a)(this.dataSource)),this._renderChangeSubscription=t.pipe(Object(m.a)(this._onDestroy)).subscribe(t=>{this._data=t||[],this.renderRows()})}_forceRenderHeaderRows(){this._headerRowOutlet.viewContainer.length>0&&this._headerRowOutlet.viewContainer.clear(),this._headerRowDefs.forEach((t,e)=>this._renderRow(this._headerRowOutlet,t,e)),this.updateStickyHeaderRowStyles()}_forceRenderFooterRows(){this._footerRowOutlet.viewContainer.length>0&&this._footerRowOutlet.viewContainer.clear(),this._footerRowDefs.forEach((t,e)=>this._renderRow(this._footerRowOutlet,t,e)),this.updateStickyFooterRowStyles()}_addStickyColumnStyles(t,e){const n=Array.from(e.columns||[]).map(t=>this._columnDefsByName.get(t)),r=n.map(t=>t.sticky),i=n.map(t=>t.stickyEnd);this._stickyStyler.updateStickyColumns(t,r,i,!this._fixedLayout||this._forceRecalculateCellWidths)}_getRenderedRows(t){const e=[];for(let n=0;n<t.viewContainer.length;n++){const r=t.viewContainer.get(n);e.push(r.rootNodes[0])}return e}_getRowDefs(t,e){if(1==this._rowDefs.length)return[this._rowDefs[0]];let n=[];if(this.multiTemplateDataRows)n=this._rowDefs.filter(n=>!n.when||n.when(e,t));else{let r=this._rowDefs.find(n=>n.when&&n.when(e,t))||this._defaultRowDef;r&&n.push(r)}return n}_getEmbeddedViewArgs(t,e){return{templateRef:t.rowDef.template,context:{$implicit:t.data},index:e}}_renderRow(t,e,n,r={}){const i=t.viewContainer.createEmbeddedView(e.template,r,n);return this._renderCellTemplateForItem(e,r),i}_renderCellTemplateForItem(t,e){for(let n of 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MMMM YYYY \\u0433.\",LLL:\"D MMMM YYYY \\u0433., H:mm\",LLLL:\"dddd, D MMMM YYYY \\u0433., H:mm\"},calendar:{sameDay:\"[\\u0421\\u0435\\u0433\\u043e\\u0434\\u043d\\u044f, \\u0432] LT\",nextDay:\"[\\u0417\\u0430\\u0432\\u0442\\u0440\\u0430, \\u0432] LT\",lastDay:\"[\\u0412\\u0447\\u0435\\u0440\\u0430, \\u0432] LT\",nextWeek:function(t){if(t.week()===this.week())return 2===this.day()?\"[\\u0412\\u043e] dddd, [\\u0432] LT\":\"[\\u0412] dddd, [\\u0432] LT\";switch(this.day()){case 0:return\"[\\u0412 \\u0441\\u043b\\u0435\\u0434\\u0443\\u044e\\u0449\\u0435\\u0435] dddd, [\\u0432] LT\";case 1:case 2:case 4:return\"[\\u0412 \\u0441\\u043b\\u0435\\u0434\\u0443\\u044e\\u0449\\u0438\\u0439] dddd, [\\u0432] LT\";case 3:case 5:case 6:return\"[\\u0412 \\u0441\\u043b\\u0435\\u0434\\u0443\\u044e\\u0449\\u0443\\u044e] dddd, [\\u0432] LT\"}},lastWeek:function(t){if(t.week()===this.week())return 2===this.day()?\"[\\u0412\\u043e] dddd, [\\u0432] LT\":\"[\\u0412] dddd, [\\u0432] LT\";switch(this.day()){case 0:return\"[\\u0412 \\u043f\\u0440\\u043e\\u0448\\u043b\\u043e\\u0435] dddd, [\\u0432] LT\";case 1:case 2:case 4:return\"[\\u0412 \\u043f\\u0440\\u043e\\u0448\\u043b\\u044b\\u0439] dddd, [\\u0432] LT\";case 3:case 5:case 6:return\"[\\u0412 \\u043f\\u0440\\u043e\\u0448\\u043b\\u0443\\u044e] dddd, [\\u0432] LT\"}},sameElse:\"L\"},relativeTime:{future:\"\\u0447\\u0435\\u0440\\u0435\\u0437 %s\",past:\"%s \\u043d\\u0430\\u0437\\u0430\\u0434\",s:\"\\u043d\\u0435\\u0441\\u043a\\u043e\\u043b\\u044c\\u043a\\u043e \\u0441\\u0435\\u043a\\u0443\\u043d\\u0434\",ss:e,m:e,mm:e,h:\"\\u0447\\u0430\\u0441\",hh:e,d:\"\\u0434\\u0435\\u043d\\u044c\",dd:e,w:\"\\u043d\\u0435\\u0434\\u0435\\u043b\\u044f\",ww:e,M:\"\\u043c\\u0435\\u0441\\u044f\\u0446\",MM:e,y:\"\\u0433\\u043e\\u0434\",yy:e},meridiemParse:/\\u043d\\u043e\\u0447\\u0438|\\u0443\\u0442\\u0440\\u0430|\\u0434\\u043d\\u044f|\\u0432\\u0435\\u0447\\u0435\\u0440\\u0430/i,isPM:function(t){return/^(\\u0434\\u043d\\u044f|\\u0432\\u0435\\u0447\\u0435\\u0440\\u0430)$/.test(t)},meridiem:function(t,e,n){return t<4?\"\\u043d\\u043e\\u0447\\u0438\":t<12?\"\\u0443\\u0442\\u0440\\u0430\":t<17?\"\\u0434\\u043d\\u044f\":\"\\u0432\\u0435\\u0447\\u0435\\u0440\\u0430\"},dayOfMonthOrdinalParse:/\\d{1,2}-(\\u0439|\\u0433\\u043e|\\u044f)/,ordinal:function(t,e){switch(e){case\"M\":case\"d\":case\"DDD\":return t+\"-\\u0439\";case\"D\":return t+\"-\\u0433\\u043e\";case\"w\":case\"W\":return t+\"-\\u044f\";default:return t}},week:{dow:1,doy:4}})}(n(\"wd/R\"))},lYtQ:function(t,e,n){!function(t){\"use strict\";function e(t,e,n,r){switch(n){case\"s\":return e?\"\\u0445\\u044d\\u0434\\u0445\\u044d\\u043d \\u0441\\u0435\\u043a\\u0443\\u043d\\u0434\":\"\\u0445\\u044d\\u0434\\u0445\\u044d\\u043d \\u0441\\u0435\\u043a\\u0443\\u043d\\u0434\\u044b\\u043d\";case\"ss\":return t+(e?\" \\u0441\\u0435\\u043a\\u0443\\u043d\\u0434\":\" \\u0441\\u0435\\u043a\\u0443\\u043d\\u0434\\u044b\\u043d\");case\"m\":case\"mm\":return t+(e?\" \\u043c\\u0438\\u043d\\u0443\\u0442\":\" \\u043c\\u0438\\u043d\\u0443\\u0442\\u044b\\u043d\");case\"h\":case\"hh\":return t+(e?\" \\u0446\\u0430\\u0433\":\" \\u0446\\u0430\\u0433\\u0438\\u0439\\u043d\");case\"d\":case\"dd\":return t+(e?\" \\u04e9\\u0434\\u04e9\\u0440\":\" \\u04e9\\u0434\\u0440\\u0438\\u0439\\u043d\");case\"M\":case\"MM\":return t+(e?\" \\u0441\\u0430\\u0440\":\" \\u0441\\u0430\\u0440\\u044b\\u043d\");case\"y\":case\"yy\":return t+(e?\" \\u0436\\u0438\\u043b\":\" \\u0436\\u0438\\u043b\\u0438\\u0439\\u043d\");default:return t}}t.defineLocale(\"mn\",{months:\"\\u041d\\u044d\\u0433\\u0434\\u04af\\u0433\\u044d\\u044d\\u0440 \\u0441\\u0430\\u0440_\\u0425\\u043e\\u0451\\u0440\\u0434\\u0443\\u0433\\u0430\\u0430\\u0440 \\u0441\\u0430\\u0440_\\u0413\\u0443\\u0440\\u0430\\u0432\\u0434\\u0443\\u0433\\u0430\\u0430\\u0440 \\u0441\\u0430\\u0440_\\u0414\\u04e9\\u0440\\u04e9\\u0432\\u0434\\u04af\\u0433\\u044d\\u044d\\u0440 \\u0441\\u0430\\u0440_\\u0422\\u0430\\u0432\\u0434\\u0443\\u0433\\u0430\\u0430\\u0440 \\u0441\\u0430\\u0440_\\u0417\\u0443\\u0440\\u0433\\u0430\\u0434\\u0443\\u0433\\u0430\\u0430\\u0440 \\u0441\\u0430\\u0440_\\u0414\\u043e\\u043b\\u0434\\u0443\\u0433\\u0430\\u0430\\u0440 \\u0441\\u0430\\u0440_\\u041d\\u0430\\u0439\\u043c\\u0434\\u0443\\u0433\\u0430\\u0430\\u0440 \\u0441\\u0430\\u0440_\\u0415\\u0441\\u0434\\u04af\\u0433\\u044d\\u044d\\u0440 \\u0441\\u0430\\u0440_\\u0410\\u0440\\u0430\\u0432\\u0434\\u0443\\u0433\\u0430\\u0430\\u0440 \\u0441\\u0430\\u0440_\\u0410\\u0440\\u0432\\u0430\\u043d \\u043d\\u044d\\u0433\\u0434\\u04af\\u0433\\u044d\\u044d\\u0440 \\u0441\\u0430\\u0440_\\u0410\\u0440\\u0432\\u0430\\u043d \\u0445\\u043e\\u0451\\u0440\\u0434\\u0443\\u0433\\u0430\\u0430\\u0440 \\u0441\\u0430\\u0440\".split(\"_\"),monthsShort:\"1 \\u0441\\u0430\\u0440_2 \\u0441\\u0430\\u0440_3 \\u0441\\u0430\\u0440_4 \\u0441\\u0430\\u0440_5 \\u0441\\u0430\\u0440_6 \\u0441\\u0430\\u0440_7 \\u0441\\u0430\\u0440_8 \\u0441\\u0430\\u0440_9 \\u0441\\u0430\\u0440_10 \\u0441\\u0430\\u0440_11 \\u0441\\u0430\\u0440_12 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t=this._document.body,e=this._viewportRuler.getViewportSize();return t.scrollHeight>e.height||t.scrollWidth>e.width}}class x{constructor(t,e,n,r){this._scrollDispatcher=t,this._ngZone=e,this._viewportRuler=n,this._config=r,this._scrollSubscription=null,this._detach=()=>{this.disable(),this._overlayRef.hasAttached()&&this._ngZone.run(()=>this._overlayRef.detach())}}attach(t){this._overlayRef=t}enable(){if(this._scrollSubscription)return;const t=this._scrollDispatcher.scrolled(0);this._config&&this._config.threshold&&this._config.threshold>1?(this._initialScrollPosition=this._viewportRuler.getViewportScrollPosition().top,this._scrollSubscription=t.subscribe(()=>{const t=this._viewportRuler.getViewportScrollPosition().top;Math.abs(t-this._initialScrollPosition)>this._config.threshold?this._detach():this._overlayRef.updatePosition()})):this._scrollSubscription=t.subscribe(this._detach)}disable(){this._scrollSubscription&&(this._scrollSubscription.unsubscribe(),this._scrollSubscription=null)}detach(){this.disable(),this._overlayRef=null}}class w{enable(){}disable(){}attach(){}}function k(t,e){return e.some(e=>t.bottom<e.top||t.top>e.bottom||t.right<e.left||t.left>e.right)}function M(t,e){return e.some(e=>t.top<e.top||t.bottom>e.bottom||t.left<e.left||t.right>e.right)}class T{constructor(t,e,n,r){this._scrollDispatcher=t,this._viewportRuler=e,this._ngZone=n,this._config=r,this._scrollSubscription=null}attach(t){this._overlayRef=t}enable(){this._scrollSubscription||(this._scrollSubscription=this._scrollDispatcher.scrolled(this._config?this._config.scrollThrottle:0).subscribe(()=>{if(this._overlayRef.updatePosition(),this._config&&this._config.autoClose){const t=this._overlayRef.overlayElement.getBoundingClientRect(),{width:e,height:n}=this._viewportRuler.getViewportSize();k(t,[{width:e,height:n,bottom:n,right:e,top:0,left:0}])&&(this.disable(),this._ngZone.run(()=>this._overlayRef.detach()))}}))}disable(){this._scrollSubscription&&(this._scrollSubscription.unsubscribe(),this._scrollSubscription=null)}detach(){this.disable(),this._overlayRef=null}}let S=(()=>{class t{constructor(t,e,n,r){this._scrollDispatcher=t,this._viewportRuler=e,this._ngZone=n,this.noop=()=>new w,this.close=t=>new x(this._scrollDispatcher,this._ngZone,this._viewportRuler,t),this.block=()=>new b(this._viewportRuler,this._document),this.reposition=t=>new T(this._scrollDispatcher,this._viewportRuler,this._ngZone,t),this._document=r}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(r.c),i.hc(r.e),i.hc(i.H),i.hc(s.d))},t.\\u0275prov=Object(i.Tb)({factory:function(){return new t(Object(i.hc)(r.c),Object(i.hc)(r.e),Object(i.hc)(i.H),Object(i.hc)(s.d))},token:t,providedIn:\"root\"}),t})();class A{constructor(t){if(this.scrollStrategy=new w,this.panelClass=\"\",this.hasBackdrop=!1,this.backdropClass=\"cdk-overlay-dark-backdrop\",this.disposeOnNavigation=!1,t){const e=Object.keys(t);for(const n of e)void 0!==t[n]&&(this[n]=t[n])}}}class L{constructor(t,e,n,r,i){this.offsetX=n,this.offsetY=r,this.panelClass=i,this.originX=t.originX,this.originY=t.originY,this.overlayX=e.overlayX,this.overlayY=e.overlayY}}class C{constructor(t,e){this.connectionPair=t,this.scrollableViewProperties=e}}let E=(()=>{class t{constructor(t){this._attachedOverlays=[],this._document=t}ngOnDestroy(){this.detach()}add(t){this.remove(t),this._attachedOverlays.push(t)}remove(t){const e=this._attachedOverlays.indexOf(t);e>-1&&this._attachedOverlays.splice(e,1),0===this._attachedOverlays.length&&this.detach()}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(s.d))},t.\\u0275prov=Object(i.Tb)({factory:function(){return new t(Object(i.hc)(s.d))},token:t,providedIn:\"root\"}),t})(),O=(()=>{class t extends E{constructor(t){super(t),this._keydownListener=t=>{const e=this._attachedOverlays;for(let n=e.length-1;n>-1;n--)if(e[n]._keydownEvents.observers.length>0){e[n]._keydownEvents.next(t);break}}}add(t){super.add(t),this._isAttached||(this._document.body.addEventListener(\"keydown\",this._keydownListener),this._isAttached=!0)}detach(){this._isAttached&&(this._document.body.removeEventListener(\"keydown\",this._keydownListener),this._isAttached=!1)}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(s.d))},t.\\u0275prov=Object(i.Tb)({factory:function(){return new t(Object(i.hc)(s.d))},token:t,providedIn:\"root\"}),t})(),D=(()=>{class t extends E{constructor(t,e){super(t),this._platform=e,this._cursorStyleIsSet=!1,this._clickListener=t=>{const e=t.composedPath?t.composedPath()[0]:t.target,n=this._attachedOverlays.slice();for(let r=n.length-1;r>-1;r--){const i=n[r];if(!(i._outsidePointerEvents.observers.length<1)&&i.hasAttached()){if(i.overlayElement.contains(e))break;i._outsidePointerEvents.next(t)}}}}add(t){super.add(t),this._isAttached||(this._document.body.addEventListener(\"click\",this._clickListener,!0),this._document.body.addEventListener(\"contextmenu\",this._clickListener,!0),this._platform.IOS&&!this._cursorStyleIsSet&&(this._cursorOriginalValue=this._document.body.style.cursor,this._document.body.style.cursor=\"pointer\",this._cursorStyleIsSet=!0),this._isAttached=!0)}detach(){this._isAttached&&(this._document.body.removeEventListener(\"click\",this._clickListener,!0),this._document.body.removeEventListener(\"contextmenu\",this._clickListener,!0),this._platform.IOS&&this._cursorStyleIsSet&&(this._document.body.style.cursor=this._cursorOriginalValue,this._cursorStyleIsSet=!1),this._isAttached=!1)}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(s.d),i.hc(a.a))},t.\\u0275prov=Object(i.Tb)({factory:function(){return new t(Object(i.hc)(s.d),Object(i.hc)(a.a))},token:t,providedIn:\"root\"}),t})();const I=!(\"undefined\"==typeof window||!window||!window.__karma__&&!window.jasmine);let P=(()=>{class t{constructor(t,e){this._platform=e,this._document=t}ngOnDestroy(){const t=this._containerElement;t&&t.parentNode&&t.parentNode.removeChild(t)}getContainerElement(){return this._containerElement||this._createContainer(),this._containerElement}_createContainer(){const t=\"cdk-overlay-container\";if(this._platform.isBrowser||I){const e=this._document.querySelectorAll(`.${t}[platform=\"server\"], .${t}[platform=\"test\"]`);for(let t=0;t<e.length;t++)e[t].parentNode.removeChild(e[t])}const e=this._document.createElement(\"div\");e.classList.add(t),I?e.setAttribute(\"platform\",\"test\"):this._platform.isBrowser||e.setAttribute(\"platform\",\"server\"),this._document.body.appendChild(e),this._containerElement=e}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(s.d),i.hc(a.a))},t.\\u0275prov=Object(i.Tb)({factory:function(){return new t(Object(i.hc)(s.d),Object(i.hc)(a.a))},token:t,providedIn:\"root\"}),t})();class R{constructor(t,e,n,r,i,a,o,s,l){this._portalOutlet=t,this._host=e,this._pane=n,this._config=r,this._ngZone=i,this._keyboardDispatcher=a,this._document=o,this._location=s,this._outsideClickDispatcher=l,this._backdropElement=null,this._backdropClick=new u.a,this._attachments=new u.a,this._detachments=new u.a,this._locationChanges=h.a.EMPTY,this._backdropClickHandler=t=>this._backdropClick.next(t),this._keydownEvents=new u.a,this._outsidePointerEvents=new u.a,r.scrollStrategy&&(this._scrollStrategy=r.scrollStrategy,this._scrollStrategy.attach(this)),this._positionStrategy=r.positionStrategy}get overlayElement(){return this._pane}get backdropElement(){return this._backdropElement}get hostElement(){return this._host}attach(t){let e=this._portalOutlet.attach(t);return!this._host.parentElement&&this._previousHostParent&&this._previousHostParent.appendChild(this._host),this._positionStrategy&&this._positionStrategy.attach(this),this._updateStackingOrder(),this._updateElementSize(),this._updateElementDirection(),this._scrollStrategy&&this._scrollStrategy.enable(),this._ngZone.onStable.pipe(Object(f.a)(1)).subscribe(()=>{this.hasAttached()&&this.updatePosition()}),this._togglePointerEvents(!0),this._config.hasBackdrop&&this._attachBackdrop(),this._config.panelClass&&this._toggleClasses(this._pane,this._config.panelClass,!0),this._attachments.next(),this._keyboardDispatcher.add(this),this._config.disposeOnNavigation&&(this._locationChanges=this._location.subscribe(()=>this.dispose())),this._outsideClickDispatcher.add(this),e}detach(){if(!this.hasAttached())return;this.detachBackdrop(),this._togglePointerEvents(!1),this._positionStrategy&&this._positionStrategy.detach&&this._positionStrategy.detach(),this._scrollStrategy&&this._scrollStrategy.disable();const t=this._portalOutlet.detach();return this._detachments.next(),this._keyboardDispatcher.remove(this),this._detachContentWhenStable(),this._locationChanges.unsubscribe(),this._outsideClickDispatcher.remove(this),t}dispose(){const t=this.hasAttached();this._positionStrategy&&this._positionStrategy.dispose(),this._disposeScrollStrategy(),this.detachBackdrop(),this._locationChanges.unsubscribe(),this._keyboardDispatcher.remove(this),this._portalOutlet.dispose(),this._attachments.complete(),this._backdropClick.complete(),this._keydownEvents.complete(),this._outsidePointerEvents.complete(),this._outsideClickDispatcher.remove(this),this._host&&this._host.parentNode&&(this._host.parentNode.removeChild(this._host),this._host=null),this._previousHostParent=this._pane=null,t&&this._detachments.next(),this._detachments.complete()}hasAttached(){return this._portalOutlet.hasAttached()}backdropClick(){return this._backdropClick}attachments(){return this._attachments}detachments(){return this._detachments}keydownEvents(){return this._keydownEvents}outsidePointerEvents(){return this._outsidePointerEvents}getConfig(){return this._config}updatePosition(){this._positionStrategy&&this._positionStrategy.apply()}updatePositionStrategy(t){t!==this._positionStrategy&&(this._positionStrategy&&this._positionStrategy.dispose(),this._positionStrategy=t,this.hasAttached()&&(t.attach(this),this.updatePosition()))}updateSize(t){this._config=Object.assign(Object.assign({},this._config),t),this._updateElementSize()}setDirection(t){this._config=Object.assign(Object.assign({},this._config),{direction:t}),this._updateElementDirection()}addPanelClass(t){this._pane&&this._toggleClasses(this._pane,t,!0)}removePanelClass(t){this._pane&&this._toggleClasses(this._pane,t,!1)}getDirection(){const t=this._config.direction;return t?\"string\"==typeof t?t:t.value:\"ltr\"}updateScrollStrategy(t){t!==this._scrollStrategy&&(this._disposeScrollStrategy(),this._scrollStrategy=t,this.hasAttached()&&(t.attach(this),t.enable()))}_updateElementDirection(){this._host.setAttribute(\"dir\",this.getDirection())}_updateElementSize(){if(!this._pane)return;const t=this._pane.style;t.width=Object(l.d)(this._config.width),t.height=Object(l.d)(this._config.height),t.minWidth=Object(l.d)(this._config.minWidth),t.minHeight=Object(l.d)(this._config.minHeight),t.maxWidth=Object(l.d)(this._config.maxWidth),t.maxHeight=Object(l.d)(this._config.maxHeight)}_togglePointerEvents(t){this._pane.style.pointerEvents=t?\"auto\":\"none\"}_attachBackdrop(){const t=\"cdk-overlay-backdrop-showing\";this._backdropElement=this._document.createElement(\"div\"),this._backdropElement.classList.add(\"cdk-overlay-backdrop\"),this._config.backdropClass&&this._toggleClasses(this._backdropElement,this._config.backdropClass,!0),this._host.parentElement.insertBefore(this._backdropElement,this._host),this._backdropElement.addEventListener(\"click\",this._backdropClickHandler),\"undefined\"!=typeof requestAnimationFrame?this._ngZone.runOutsideAngular(()=>{requestAnimationFrame(()=>{this._backdropElement&&this._backdropElement.classList.add(t)})}):this._backdropElement.classList.add(t)}_updateStackingOrder(){this._host.nextSibling&&this._host.parentNode.appendChild(this._host)}detachBackdrop(){let t,e=this._backdropElement;if(!e)return;let n=()=>{e&&(e.removeEventListener(\"click\",this._backdropClickHandler),e.removeEventListener(\"transitionend\",n),e.parentNode&&e.parentNode.removeChild(e)),this._backdropElement==e&&(this._backdropElement=null),this._config.backdropClass&&this._toggleClasses(e,this._config.backdropClass,!1),clearTimeout(t)};e.classList.remove(\"cdk-overlay-backdrop-showing\"),this._ngZone.runOutsideAngular(()=>{e.addEventListener(\"transitionend\",n)}),e.style.pointerEvents=\"none\",t=this._ngZone.runOutsideAngular(()=>setTimeout(n,500))}_toggleClasses(t,e,n){const r=t.classList;Object(l.b)(e).forEach(t=>{t&&(n?r.add(t):r.remove(t))})}_detachContentWhenStable(){this._ngZone.runOutsideAngular(()=>{const t=this._ngZone.onStable.pipe(Object(p.a)(Object(d.a)(this._attachments,this._detachments))).subscribe(()=>{this._pane&&this._host&&0!==this._pane.children.length||(this._pane&&this._config.panelClass&&this._toggleClasses(this._pane,this._config.panelClass,!1),this._host&&this._host.parentElement&&(this._previousHostParent=this._host.parentElement,this._previousHostParent.removeChild(this._host)),t.unsubscribe())})})}_disposeScrollStrategy(){const t=this._scrollStrategy;t&&(t.disable(),t.detach&&t.detach())}}const z=\"cdk-overlay-connected-position-bounding-box\",j=/([A-Za-z%]+)$/;class F{constructor(t,e,n,r,i){this._viewportRuler=e,this._document=n,this._platform=r,this._overlayContainer=i,this._lastBoundingBoxSize={width:0,height:0},this._isPushed=!1,this._canPush=!0,this._growAfterOpen=!1,this._hasFlexibleDimensions=!0,this._positionLocked=!1,this._viewportMargin=0,this._scrollables=[],this._preferredPositions=[],this._positionChanges=new u.a,this._resizeSubscription=h.a.EMPTY,this._offsetX=0,this._offsetY=0,this._appliedPanelClasses=[],this.positionChanges=this._positionChanges,this.setOrigin(t)}get positions(){return this._preferredPositions}attach(t){this._validatePositions(),t.hostElement.classList.add(z),this._overlayRef=t,this._boundingBox=t.hostElement,this._pane=t.overlayElement,this._isDisposed=!1,this._isInitialRender=!0,this._lastPosition=null,this._resizeSubscription.unsubscribe(),this._resizeSubscription=this._viewportRuler.change().subscribe(()=>{this._isInitialRender=!0,this.apply()})}apply(){if(this._isDisposed||!this._platform.isBrowser)return;if(!this._isInitialRender&&this._positionLocked&&this._lastPosition)return void this.reapplyLastPosition();this._clearPanelClasses(),this._resetOverlayElementStyles(),this._resetBoundingBoxStyles(),this._viewportRect=this._getNarrowedViewportRect(),this._originRect=this._getOriginRect(),this._overlayRect=this._pane.getBoundingClientRect();const t=this._originRect,e=this._overlayRect,n=this._viewportRect,r=[];let i;for(let a of this._preferredPositions){let o=this._getOriginPoint(t,a),s=this._getOverlayPoint(o,e,a),l=this._getOverlayFit(s,e,n,a);if(l.isCompletelyWithinViewport)return this._isPushed=!1,void this._applyPosition(a,o);this._canFitWithFlexibleDimensions(l,s,n)?r.push({position:a,origin:o,overlayRect:e,boundingBoxRect:this._calculateBoundingBoxRect(o,a)}):(!i||i.overlayFit.visibleArea<l.visibleArea)&&(i={overlayFit:l,overlayPoint:s,originPoint:o,position:a,overlayRect:e})}if(r.length){let t=null,e=-1;for(const n of r){const r=n.boundingBoxRect.width*n.boundingBoxRect.height*(n.position.weight||1);r>e&&(e=r,t=n)}return this._isPushed=!1,void this._applyPosition(t.position,t.origin)}if(this._canPush)return this._isPushed=!0,void this._applyPosition(i.position,i.originPoint);this._applyPosition(i.position,i.originPoint)}detach(){this._clearPanelClasses(),this._lastPosition=null,this._previousPushAmount=null,this._resizeSubscription.unsubscribe()}dispose(){this._isDisposed||(this._boundingBox&&N(this._boundingBox.style,{top:\"\",left:\"\",right:\"\",bottom:\"\",height:\"\",width:\"\",alignItems:\"\",justifyContent:\"\"}),this._pane&&this._resetOverlayElementStyles(),this._overlayRef&&this._overlayRef.hostElement.classList.remove(z),this.detach(),this._positionChanges.complete(),this._overlayRef=this._boundingBox=null,this._isDisposed=!0)}reapplyLastPosition(){if(!this._isDisposed&&(!this._platform||this._platform.isBrowser)){this._originRect=this._getOriginRect(),this._overlayRect=this._pane.getBoundingClientRect(),this._viewportRect=this._getNarrowedViewportRect();const t=this._lastPosition||this._preferredPositions[0],e=this._getOriginPoint(this._originRect,t);this._applyPosition(t,e)}}withScrollableContainers(t){return this._scrollables=t,this}withPositions(t){return this._preferredPositions=t,-1===t.indexOf(this._lastPosition)&&(this._lastPosition=null),this._validatePositions(),this}withViewportMargin(t){return this._viewportMargin=t,this}withFlexibleDimensions(t=!0){return this._hasFlexibleDimensions=t,this}withGrowAfterOpen(t=!0){return this._growAfterOpen=t,this}withPush(t=!0){return this._canPush=t,this}withLockedPosition(t=!0){return this._positionLocked=t,this}setOrigin(t){return this._origin=t,this}withDefaultOffsetX(t){return this._offsetX=t,this}withDefaultOffsetY(t){return this._offsetY=t,this}withTransformOriginOn(t){return this._transformOriginSelector=t,this}_getOriginPoint(t,e){let n,r;if(\"center\"==e.originX)n=t.left+t.width/2;else{const r=this._isRtl()?t.right:t.left,i=this._isRtl()?t.left:t.right;n=\"start\"==e.originX?r:i}return r=\"center\"==e.originY?t.top+t.height/2:\"top\"==e.originY?t.top:t.bottom,{x:n,y:r}}_getOverlayPoint(t,e,n){let r,i;return r=\"center\"==n.overlayX?-e.width/2:\"start\"===n.overlayX?this._isRtl()?-e.width:0:this._isRtl()?0:-e.width,i=\"center\"==n.overlayY?-e.height/2:\"top\"==n.overlayY?0:-e.height,{x:t.x+r,y:t.y+i}}_getOverlayFit(t,e,n,r){const i=Y(e);let{x:a,y:o}=t,s=this._getOffset(r,\"x\"),l=this._getOffset(r,\"y\");s&&(a+=s),l&&(o+=l);let c=0-o,u=o+i.height-n.height,h=this._subtractOverflows(i.width,0-a,a+i.width-n.width),d=this._subtractOverflows(i.height,c,u),f=h*d;return{visibleArea:f,isCompletelyWithinViewport:i.width*i.height===f,fitsInViewportVertically:d===i.height,fitsInViewportHorizontally:h==i.width}}_canFitWithFlexibleDimensions(t,e,n){if(this._hasFlexibleDimensions){const r=n.bottom-e.y,i=n.right-e.x,a=B(this._overlayRef.getConfig().minHeight),o=B(this._overlayRef.getConfig().minWidth),s=t.fitsInViewportHorizontally||null!=o&&o<=i;return(t.fitsInViewportVertically||null!=a&&a<=r)&&s}return!1}_pushOverlayOnScreen(t,e,n){if(this._previousPushAmount&&this._positionLocked)return{x:t.x+this._previousPushAmount.x,y:t.y+this._previousPushAmount.y};const r=Y(e),i=this._viewportRect,a=Math.max(t.x+r.width-i.width,0),o=Math.max(t.y+r.height-i.height,0),s=Math.max(i.top-n.top-t.y,0),l=Math.max(i.left-n.left-t.x,0);let c=0,u=0;return c=r.width<=i.width?l||-a:t.x<this._viewportMargin?i.left-n.left-t.x:0,u=r.height<=i.height?s||-o:t.y<this._viewportMargin?i.top-n.top-t.y:0,this._previousPushAmount={x:c,y:u},{x:t.x+c,y:t.y+u}}_applyPosition(t,e){if(this._setTransformOrigin(t),this._setOverlayElementStyles(e,t),this._setBoundingBoxStyles(e,t),t.panelClass&&this._addPanelClasses(t.panelClass),this._lastPosition=t,this._positionChanges.observers.length){const e=this._getScrollVisibility(),n=new C(t,e);this._positionChanges.next(n)}this._isInitialRender=!1}_setTransformOrigin(t){if(!this._transformOriginSelector)return;const e=this._boundingBox.querySelectorAll(this._transformOriginSelector);let n,r=t.overlayY;n=\"center\"===t.overlayX?\"center\":this._isRtl()?\"start\"===t.overlayX?\"right\":\"left\":\"start\"===t.overlayX?\"left\":\"right\";for(let i=0;i<e.length;i++)e[i].style.transformOrigin=`${n} ${r}`}_calculateBoundingBoxRect(t,e){const n=this._viewportRect,r=this._isRtl();let i,a,o,s,l,c;if(\"top\"===e.overlayY)a=t.y,i=n.height-a+this._viewportMargin;else if(\"bottom\"===e.overlayY)o=n.height-t.y+2*this._viewportMargin,i=n.height-o+this._viewportMargin;else{const e=Math.min(n.bottom-t.y+n.top,t.y),r=this._lastBoundingBoxSize.height;i=2*e,a=t.y-e,i>r&&!this._isInitialRender&&!this._growAfterOpen&&(a=t.y-r/2)}if(\"end\"===e.overlayX&&!r||\"start\"===e.overlayX&&r)c=n.width-t.x+this._viewportMargin,s=t.x-this._viewportMargin;else if(\"start\"===e.overlayX&&!r||\"end\"===e.overlayX&&r)l=t.x,s=n.right-t.x;else{const e=Math.min(n.right-t.x+n.left,t.x),r=this._lastBoundingBoxSize.width;s=2*e,l=t.x-e,s>r&&!this._isInitialRender&&!this._growAfterOpen&&(l=t.x-r/2)}return{top:a,left:l,bottom:o,right:c,width:s,height:i}}_setBoundingBoxStyles(t,e){const n=this._calculateBoundingBoxRect(t,e);this._isInitialRender||this._growAfterOpen||(n.height=Math.min(n.height,this._lastBoundingBoxSize.height),n.width=Math.min(n.width,this._lastBoundingBoxSize.width));const r={};if(this._hasExactPosition())r.top=r.left=\"0\",r.bottom=r.right=r.maxHeight=r.maxWidth=\"\",r.width=r.height=\"100%\";else{const t=this._overlayRef.getConfig().maxHeight,i=this._overlayRef.getConfig().maxWidth;r.height=Object(l.d)(n.height),r.top=Object(l.d)(n.top),r.bottom=Object(l.d)(n.bottom),r.width=Object(l.d)(n.width),r.left=Object(l.d)(n.left),r.right=Object(l.d)(n.right),r.alignItems=\"center\"===e.overlayX?\"center\":\"end\"===e.overlayX?\"flex-end\":\"flex-start\",r.justifyContent=\"center\"===e.overlayY?\"center\":\"bottom\"===e.overlayY?\"flex-end\":\"flex-start\",t&&(r.maxHeight=Object(l.d)(t)),i&&(r.maxWidth=Object(l.d)(i))}this._lastBoundingBoxSize=n,N(this._boundingBox.style,r)}_resetBoundingBoxStyles(){N(this._boundingBox.style,{top:\"0\",left:\"0\",right:\"0\",bottom:\"0\",height:\"\",width:\"\",alignItems:\"\",justifyContent:\"\"})}_resetOverlayElementStyles(){N(this._pane.style,{top:\"\",left:\"\",bottom:\"\",right:\"\",position:\"\",transform:\"\"})}_setOverlayElementStyles(t,e){const n={},r=this._hasExactPosition(),i=this._hasFlexibleDimensions,a=this._overlayRef.getConfig();if(r){const r=this._viewportRuler.getViewportScrollPosition();N(n,this._getExactOverlayY(e,t,r)),N(n,this._getExactOverlayX(e,t,r))}else n.position=\"static\";let o=\"\",s=this._getOffset(e,\"x\"),c=this._getOffset(e,\"y\");s&&(o+=`translateX(${s}px) `),c&&(o+=`translateY(${c}px)`),n.transform=o.trim(),a.maxHeight&&(r?n.maxHeight=Object(l.d)(a.maxHeight):i&&(n.maxHeight=\"\")),a.maxWidth&&(r?n.maxWidth=Object(l.d)(a.maxWidth):i&&(n.maxWidth=\"\")),N(this._pane.style,n)}_getExactOverlayY(t,e,n){let r={top:\"\",bottom:\"\"},i=this._getOverlayPoint(e,this._overlayRect,t);this._isPushed&&(i=this._pushOverlayOnScreen(i,this._overlayRect,n));let a=this._overlayContainer.getContainerElement().getBoundingClientRect().top;return i.y-=a,\"bottom\"===t.overlayY?r.bottom=this._document.documentElement.clientHeight-(i.y+this._overlayRect.height)+\"px\":r.top=Object(l.d)(i.y),r}_getExactOverlayX(t,e,n){let r,i={left:\"\",right:\"\"},a=this._getOverlayPoint(e,this._overlayRect,t);return this._isPushed&&(a=this._pushOverlayOnScreen(a,this._overlayRect,n)),r=this._isRtl()?\"end\"===t.overlayX?\"left\":\"right\":\"end\"===t.overlayX?\"right\":\"left\",\"right\"===r?i.right=this._document.documentElement.clientWidth-(a.x+this._overlayRect.width)+\"px\":i.left=Object(l.d)(a.x),i}_getScrollVisibility(){const t=this._getOriginRect(),e=this._pane.getBoundingClientRect(),n=this._scrollables.map(t=>t.getElementRef().nativeElement.getBoundingClientRect());return{isOriginClipped:M(t,n),isOriginOutsideView:k(t,n),isOverlayClipped:M(e,n),isOverlayOutsideView:k(e,n)}}_subtractOverflows(t,...e){return e.reduce((t,e)=>t-Math.max(e,0),t)}_getNarrowedViewportRect(){const t=this._document.documentElement.clientWidth,e=this._document.documentElement.clientHeight,n=this._viewportRuler.getViewportScrollPosition();return{top:n.top+this._viewportMargin,left:n.left+this._viewportMargin,right:n.left+t-this._viewportMargin,bottom:n.top+e-this._viewportMargin,width:t-2*this._viewportMargin,height:e-2*this._viewportMargin}}_isRtl(){return\"rtl\"===this._overlayRef.getDirection()}_hasExactPosition(){return!this._hasFlexibleDimensions||this._isPushed}_getOffset(t,e){return\"x\"===e?null==t.offsetX?this._offsetX:t.offsetX:null==t.offsetY?this._offsetY:t.offsetY}_validatePositions(){}_addPanelClasses(t){this._pane&&Object(l.b)(t).forEach(t=>{\"\"!==t&&-1===this._appliedPanelClasses.indexOf(t)&&(this._appliedPanelClasses.push(t),this._pane.classList.add(t))})}_clearPanelClasses(){this._pane&&(this._appliedPanelClasses.forEach(t=>{this._pane.classList.remove(t)}),this._appliedPanelClasses=[])}_getOriginRect(){const t=this._origin;if(t instanceof i.p)return t.nativeElement.getBoundingClientRect();if(t instanceof Element)return t.getBoundingClientRect();const e=t.width||0,n=t.height||0;return{top:t.y,bottom:t.y+n,left:t.x,right:t.x+e,height:n,width:e}}}function N(t,e){for(let n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}function B(t){if(\"number\"!=typeof t&&null!=t){const[e,n]=t.split(j);return n&&\"px\"!==n?null:parseFloat(e)}return t||null}function Y(t){return{top:Math.floor(t.top),right:Math.floor(t.right),bottom:Math.floor(t.bottom),left:Math.floor(t.left),width:Math.floor(t.width),height:Math.floor(t.height)}}class H{constructor(t,e,n,r,i,a,o){this._preferredPositions=[],this._positionStrategy=new F(n,r,i,a,o).withFlexibleDimensions(!1).withPush(!1).withViewportMargin(0),this.withFallbackPosition(t,e),this.onPositionChange=this._positionStrategy.positionChanges}get positions(){return this._preferredPositions}attach(t){this._overlayRef=t,this._positionStrategy.attach(t),this._direction&&(t.setDirection(this._direction),this._direction=null)}dispose(){this._positionStrategy.dispose()}detach(){this._positionStrategy.detach()}apply(){this._positionStrategy.apply()}recalculateLastPosition(){this._positionStrategy.reapplyLastPosition()}withScrollableContainers(t){this._positionStrategy.withScrollableContainers(t)}withFallbackPosition(t,e,n,r){const i=new L(t,e,n,r);return this._preferredPositions.push(i),this._positionStrategy.withPositions(this._preferredPositions),this}withDirection(t){return this._overlayRef?this._overlayRef.setDirection(t):this._direction=t,this}withOffsetX(t){return this._positionStrategy.withDefaultOffsetX(t),this}withOffsetY(t){return this._positionStrategy.withDefaultOffsetY(t),this}withLockedPosition(t){return this._positionStrategy.withLockedPosition(t),this}withPositions(t){return this._preferredPositions=t.slice(),this._positionStrategy.withPositions(this._preferredPositions),this}setOrigin(t){return this._positionStrategy.setOrigin(t),this}}const V=\"cdk-global-overlay-wrapper\";class U{constructor(){this._cssPosition=\"static\",this._topOffset=\"\",this._bottomOffset=\"\",this._leftOffset=\"\",this._rightOffset=\"\",this._alignItems=\"\",this._justifyContent=\"\",this._width=\"\",this._height=\"\"}attach(t){const e=t.getConfig();this._overlayRef=t,this._width&&!e.width&&t.updateSize({width:this._width}),this._height&&!e.height&&t.updateSize({height:this._height}),t.hostElement.classList.add(V),this._isDisposed=!1}top(t=\"\"){return this._bottomOffset=\"\",this._topOffset=t,this._alignItems=\"flex-start\",this}left(t=\"\"){return this._rightOffset=\"\",this._leftOffset=t,this._justifyContent=\"flex-start\",this}bottom(t=\"\"){return this._topOffset=\"\",this._bottomOffset=t,this._alignItems=\"flex-end\",this}right(t=\"\"){return this._leftOffset=\"\",this._rightOffset=t,this._justifyContent=\"flex-end\",this}width(t=\"\"){return this._overlayRef?this._overlayRef.updateSize({width:t}):this._width=t,this}height(t=\"\"){return this._overlayRef?this._overlayRef.updateSize({height:t}):this._height=t,this}centerHorizontally(t=\"\"){return this.left(t),this._justifyContent=\"center\",this}centerVertically(t=\"\"){return this.top(t),this._alignItems=\"center\",this}apply(){if(!this._overlayRef||!this._overlayRef.hasAttached())return;const t=this._overlayRef.overlayElement.style,e=this._overlayRef.hostElement.style,n=this._overlayRef.getConfig(),{width:r,height:i,maxWidth:a,maxHeight:o}=n,s=!(\"100%\"!==r&&\"100vw\"!==r||a&&\"100%\"!==a&&\"100vw\"!==a),l=!(\"100%\"!==i&&\"100vh\"!==i||o&&\"100%\"!==o&&\"100vh\"!==o);t.position=this._cssPosition,t.marginLeft=s?\"0\":this._leftOffset,t.marginTop=l?\"0\":this._topOffset,t.marginBottom=this._bottomOffset,t.marginRight=this._rightOffset,s?e.justifyContent=\"flex-start\":\"center\"===this._justifyContent?e.justifyContent=\"center\":\"rtl\"===this._overlayRef.getConfig().direction?\"flex-start\"===this._justifyContent?e.justifyContent=\"flex-end\":\"flex-end\"===this._justifyContent&&(e.justifyContent=\"flex-start\"):e.justifyContent=this._justifyContent,e.alignItems=l?\"flex-start\":this._alignItems}dispose(){if(this._isDisposed||!this._overlayRef)return;const t=this._overlayRef.overlayElement.style,e=this._overlayRef.hostElement,n=e.style;e.classList.remove(V),n.justifyContent=n.alignItems=t.marginTop=t.marginBottom=t.marginLeft=t.marginRight=t.position=\"\",this._overlayRef=null,this._isDisposed=!0}}let W=(()=>{class t{constructor(t,e,n,r){this._viewportRuler=t,this._document=e,this._platform=n,this._overlayContainer=r}global(){return new U}connectedTo(t,e,n){return new H(e,n,t,this._viewportRuler,this._document,this._platform,this._overlayContainer)}flexibleConnectedTo(t){return new F(t,this._viewportRuler,this._document,this._platform,this._overlayContainer)}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(r.e),i.hc(s.d),i.hc(a.a),i.hc(P))},t.\\u0275prov=Object(i.Tb)({factory:function(){return new t(Object(i.hc)(r.e),Object(i.hc)(s.d),Object(i.hc)(a.a),Object(i.hc)(P))},token:t,providedIn:\"root\"}),t})(),q=0,G=(()=>{class t{constructor(t,e,n,r,i,a,o,s,l,c,u){this.scrollStrategies=t,this._overlayContainer=e,this._componentFactoryResolver=n,this._positionBuilder=r,this._keyboardDispatcher=i,this._injector=a,this._ngZone=o,this._document=s,this._directionality=l,this._location=c,this._outsideClickDispatcher=u}create(t){const e=this._createHostElement(),n=this._createPaneElement(e),r=this._createPortalOutlet(n),i=new A(t);return i.direction=i.direction||this._directionality.value,new R(r,e,n,i,this._ngZone,this._keyboardDispatcher,this._document,this._location,this._outsideClickDispatcher)}position(){return this._positionBuilder}_createPaneElement(t){const e=this._document.createElement(\"div\");return e.id=\"cdk-overlay-\"+q++,e.classList.add(\"cdk-overlay-pane\"),t.appendChild(e),e}_createHostElement(){const t=this._document.createElement(\"div\");return this._overlayContainer.getContainerElement().appendChild(t),t}_createPortalOutlet(t){return this._appRef||(this._appRef=this._injector.get(i.g)),new c.e(t,this._componentFactoryResolver,this._appRef,this._injector,this._document)}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(S),i.hc(P),i.hc(i.m),i.hc(W),i.hc(O),i.hc(i.x),i.hc(i.H),i.hc(s.d),i.hc(o.b),i.hc(s.j),i.hc(D))},t.\\u0275prov=i.Tb({token:t,factory:t.\\u0275fac}),t})();const X=[{originX:\"start\",originY:\"bottom\",overlayX:\"start\",overlayY:\"top\"},{originX:\"start\",originY:\"top\",overlayX:\"start\",overlayY:\"bottom\"},{originX:\"end\",originY:\"top\",overlayX:\"end\",overlayY:\"bottom\"},{originX:\"end\",originY:\"bottom\",overlayX:\"end\",overlayY:\"top\"}],Z=new i.w(\"cdk-connected-overlay-scroll-strategy\");let J=(()=>{class t{constructor(t){this.elementRef=t}}return t.\\u0275fac=function(e){return new(e||t)(i.Xb(i.p))},t.\\u0275dir=i.Sb({type:t,selectors:[[\"\",\"cdk-overlay-origin\",\"\"],[\"\",\"overlay-origin\",\"\"],[\"\",\"cdkOverlayOrigin\",\"\"]],exportAs:[\"cdkOverlayOrigin\"]}),t})(),K=(()=>{class t{constructor(t,e,n,r,a){this._overlay=t,this._dir=a,this._hasBackdrop=!1,this._lockPosition=!1,this._growAfterOpen=!1,this._flexibleDimensions=!1,this._push=!1,this._backdropSubscription=h.a.EMPTY,this._attachSubscription=h.a.EMPTY,this._detachSubscription=h.a.EMPTY,this._positionSubscription=h.a.EMPTY,this.viewportMargin=0,this.open=!1,this.disableClose=!1,this.backdropClick=new i.s,this.positionChange=new i.s,this.attach=new i.s,this.detach=new i.s,this.overlayKeydown=new i.s,this.overlayOutsideClick=new i.s,this._templatePortal=new c.g(e,n),this._scrollStrategyFactory=r,this.scrollStrategy=this._scrollStrategyFactory()}get offsetX(){return this._offsetX}set offsetX(t){this._offsetX=t,this._position&&this._updatePositionStrategy(this._position)}get offsetY(){return this._offsetY}set offsetY(t){this._offsetY=t,this._position&&this._updatePositionStrategy(this._position)}get hasBackdrop(){return this._hasBackdrop}set hasBackdrop(t){this._hasBackdrop=Object(l.c)(t)}get lockPosition(){return this._lockPosition}set lockPosition(t){this._lockPosition=Object(l.c)(t)}get flexibleDimensions(){return this._flexibleDimensions}set flexibleDimensions(t){this._flexibleDimensions=Object(l.c)(t)}get growAfterOpen(){return this._growAfterOpen}set growAfterOpen(t){this._growAfterOpen=Object(l.c)(t)}get push(){return this._push}set push(t){this._push=Object(l.c)(t)}get overlayRef(){return this._overlayRef}get dir(){return this._dir?this._dir.value:\"ltr\"}ngOnDestroy(){this._attachSubscription.unsubscribe(),this._detachSubscription.unsubscribe(),this._backdropSubscription.unsubscribe(),this._positionSubscription.unsubscribe(),this._overlayRef&&this._overlayRef.dispose()}ngOnChanges(t){this._position&&(this._updatePositionStrategy(this._position),this._overlayRef.updateSize({width:this.width,minWidth:this.minWidth,height:this.height,minHeight:this.minHeight}),t.origin&&this.open&&this._position.apply()),t.open&&(this.open?this._attachOverlay():this._detachOverlay())}_createOverlay(){this.positions&&this.positions.length||(this.positions=X);const t=this._overlayRef=this._overlay.create(this._buildConfig());this._attachSubscription=t.attachments().subscribe(()=>this.attach.emit()),this._detachSubscription=t.detachments().subscribe(()=>this.detach.emit()),t.keydownEvents().subscribe(t=>{this.overlayKeydown.next(t),t.keyCode!==v.f||this.disableClose||Object(v.r)(t)||(t.preventDefault(),this._detachOverlay())}),this._overlayRef.outsidePointerEvents().subscribe(t=>{this.overlayOutsideClick.next(t)})}_buildConfig(){const t=this._position=this.positionStrategy||this._createPositionStrategy(),e=new A({direction:this._dir,positionStrategy:t,scrollStrategy:this.scrollStrategy,hasBackdrop:this.hasBackdrop});return(this.width||0===this.width)&&(e.width=this.width),(this.height||0===this.height)&&(e.height=this.height),(this.minWidth||0===this.minWidth)&&(e.minWidth=this.minWidth),(this.minHeight||0===this.minHeight)&&(e.minHeight=this.minHeight),this.backdropClass&&(e.backdropClass=this.backdropClass),this.panelClass&&(e.panelClass=this.panelClass),e}_updatePositionStrategy(t){const e=this.positions.map(t=>({originX:t.originX,originY:t.originY,overlayX:t.overlayX,overlayY:t.overlayY,offsetX:t.offsetX||this.offsetX,offsetY:t.offsetY||this.offsetY,panelClass:t.panelClass||void 0}));return t.setOrigin(this.origin.elementRef).withPositions(e).withFlexibleDimensions(this.flexibleDimensions).withPush(this.push).withGrowAfterOpen(this.growAfterOpen).withViewportMargin(this.viewportMargin).withLockedPosition(this.lockPosition).withTransformOriginOn(this.transformOriginSelector)}_createPositionStrategy(){const t=this._overlay.position().flexibleConnectedTo(this.origin.elementRef);return this._updatePositionStrategy(t),t}_attachOverlay(){this._overlayRef?this._overlayRef.getConfig().hasBackdrop=this.hasBackdrop:this._createOverlay(),this._overlayRef.hasAttached()||this._overlayRef.attach(this._templatePortal),this.hasBackdrop?this._backdropSubscription=this._overlayRef.backdropClick().subscribe(t=>{this.backdropClick.emit(t)}):this._backdropSubscription.unsubscribe(),this._positionSubscription.unsubscribe(),this.positionChange.observers.length>0&&(this._positionSubscription=this._position.positionChanges.pipe(function(t,e=!1){return n=>n.lift(new g(t,e))}(()=>this.positionChange.observers.length>0)).subscribe(t=>{this.positionChange.emit(t),0===this.positionChange.observers.length&&this._positionSubscription.unsubscribe()}))}_detachOverlay(){this._overlayRef&&this._overlayRef.detach(),this._backdropSubscription.unsubscribe(),this._positionSubscription.unsubscribe()}}return t.\\u0275fac=function(e){return new(e||t)(i.Xb(G),i.Xb(i.V),i.Xb(i.Z),i.Xb(Z),i.Xb(o.b,8))},t.\\u0275dir=i.Sb({type:t,selectors:[[\"\",\"cdk-connected-overlay\",\"\"],[\"\",\"connected-overlay\",\"\"],[\"\",\"cdkConnectedOverlay\",\"\"]],inputs:{viewportMargin:[\"cdkConnectedOverlayViewportMargin\",\"viewportMargin\"],open:[\"cdkConnectedOverlayOpen\",\"open\"],disableClose:[\"cdkConnectedOverlayDisableClose\",\"disableClose\"],scrollStrategy:[\"cdkConnectedOverlayScrollStrategy\",\"scrollStrategy\"],offsetX:[\"cdkConnectedOverlayOffsetX\",\"offsetX\"],offsetY:[\"cdkConnectedOverlayOffsetY\",\"offsetY\"],hasBackdrop:[\"cdkConnectedOverlayHasBackdrop\",\"hasBackdrop\"],lockPosition:[\"cdkConnectedOverlayLockPosition\",\"lockPosition\"],flexibleDimensions:[\"cdkConnectedOverlayFlexibleDimensions\",\"flexibleDimensions\"],growAfterOpen:[\"cdkConnectedOverlayGrowAfterOpen\",\"growAfterOpen\"],push:[\"cdkConnectedOverlayPush\",\"push\"],positions:[\"cdkConnectedOverlayPositions\",\"positions\"],origin:[\"cdkConnectedOverlayOrigin\",\"origin\"],positionStrategy:[\"cdkConnectedOverlayPositionStrategy\",\"positionStrategy\"],width:[\"cdkConnectedOverlayWidth\",\"width\"],height:[\"cdkConnectedOverlayHeight\",\"height\"],minWidth:[\"cdkConnectedOverlayMinWidth\",\"minWidth\"],minHeight:[\"cdkConnectedOverlayMinHeight\",\"minHeight\"],backdropClass:[\"cdkConnectedOverlayBackdropClass\",\"backdropClass\"],panelClass:[\"cdkConnectedOverlayPanelClass\",\"panelClass\"],transformOriginSelector:[\"cdkConnectedOverlayTransformOriginOn\",\"transformOriginSelector\"]},outputs:{backdropClick:\"backdropClick\",positionChange:\"positionChange\",attach:\"attach\",detach:\"detach\",overlayKeydown:\"overlayKeydown\",overlayOutsideClick:\"overlayOutsideClick\"},exportAs:[\"cdkConnectedOverlay\"],features:[i.Jb]}),t})();const 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this._routerState.parent(this)}get firstChild(){return this._routerState.firstChild(this)}get children(){return this._routerState.children(this)}get pathFromRoot(){return this._routerState.pathFromRoot(this)}get paramMap(){return this._paramMap||(this._paramMap=this.params.pipe(Object(m.a)(t=>rt(t)))),this._paramMap}get queryParamMap(){return this._queryParamMap||(this._queryParamMap=this.queryParams.pipe(Object(m.a)(t=>rt(t)))),this._queryParamMap}toString(){return this.snapshot?this.snapshot.toString():`Future(${this._futureSnapshot})`}}function Bt(t,e=\"emptyOnly\"){const n=t.pathFromRoot;let r=0;if(\"always\"!==e)for(r=n.length-1;r>=1;){const t=n[r],e=n[r-1];if(t.routeConfig&&\"\"===t.routeConfig.path)r--;else{if(e.component)break;r--}}return function(t){return t.reduce((t,e)=>({params:Object.assign(Object.assign({},t.params),e.params),data:Object.assign(Object.assign({},t.data),e.data),resolve:Object.assign(Object.assign({},t.resolve),e._resolvedData)}),{params:{},data:{},resolve:{}})}(n.slice(r))}class Yt{constructor(t,e,n,r,i,a,o,s,l,c,u){this.url=t,this.params=e,this.queryParams=n,this.fragment=r,this.data=i,this.outlet=a,this.component=o,this.routeConfig=s,this._urlSegment=l,this._lastPathIndex=c,this._resolve=u}get root(){return this._routerState.root}get parent(){return this._routerState.parent(this)}get firstChild(){return this._routerState.firstChild(this)}get children(){return this._routerState.children(this)}get pathFromRoot(){return this._routerState.pathFromRoot(this)}get paramMap(){return this._paramMap||(this._paramMap=rt(this.params)),this._paramMap}get queryParamMap(){return this._queryParamMap||(this._queryParamMap=rt(this.queryParams)),this._queryParamMap}toString(){return`Route(url:'${this.url.map(t=>t.toString()).join(\"/\")}', path:'${this.routeConfig?this.routeConfig.path:\"\"}')`}}class Ht extends Dt{constructor(t,e){super(e),this.url=t,Vt(this,e)}toString(){return Ut(this._root)}}function Vt(t,e){e.value._routerState=t,e.children.forEach(e=>Vt(t,e))}function Ut(t){const e=t.children.length>0?` { ${t.children.map(Ut).join(\", \")} } `:\"\";return`${t.value}${e}`}function Wt(t){if(t.snapshot){const e=t.snapshot,n=t._futureSnapshot;t.snapshot=n,ot(e.queryParams,n.queryParams)||t.queryParams.next(n.queryParams),e.fragment!==n.fragment&&t.fragment.next(n.fragment),ot(e.params,n.params)||t.params.next(n.params),function(t,e){if(t.length!==e.length)return!1;for(let n=0;n<t.length;++n)if(!ot(t[n],e[n]))return!1;return!0}(e.url,n.url)||t.url.next(n.url),ot(e.data,n.data)||t.data.next(n.data)}else t.snapshot=t._futureSnapshot,t.data.next(t._futureSnapshot.data)}function qt(t,e){var n,r;return ot(t.params,e.params)&&gt(n=t.url,r=e.url)&&n.every((t,e)=>ot(t.parameters,r[e].parameters))&&!(!t.parent!=!e.parent)&&(!t.parent||qt(t.parent,e.parent))}function Gt(t){return\"object\"==typeof t&&null!=t&&!t.outlets&&!t.segmentPath}function Xt(t){return\"object\"==typeof t&&null!=t&&t.outlets}function Zt(t,e,n,r,i){let a={};return r&&ut(r,(t,e)=>{a[e]=Array.isArray(t)?t.map(t=>\"\"+t):\"\"+t}),new ft(n.root===t?e:function t(e,n,r){const i={};return ut(e.children,(e,a)=>{i[a]=e===n?r:t(e,n,r)}),new pt(e.segments,i)}(n.root,t,e),a,i)}class Jt{constructor(t,e,n){if(this.isAbsolute=t,this.numberOfDoubleDots=e,this.commands=n,t&&n.length>0&&Gt(n[0]))throw new Error(\"Root segment cannot have matrix parameters\");const r=n.find(Xt);if(r&&r!==ct(n))throw new Error(\"{outlets:{}} has to be the last command\")}toRoot(){return this.isAbsolute&&1===this.commands.length&&\"/\"==this.commands[0]}}class Kt{constructor(t,e,n){this.segmentGroup=t,this.processChildren=e,this.index=n}}function $t(t,e,n){if(t||(t=new pt([],{})),0===t.segments.length&&t.hasChildren())return Qt(t,e,n);const r=function(t,e,n){let r=0,i=e;const a={match:!1,pathIndex:0,commandIndex:0};for(;i<t.segments.length;){if(r>=n.length)return a;const e=t.segments[i],o=n[r];if(Xt(o))break;const s=\"\"+o,l=r<n.length-1?n[r+1]:null;if(i>0&&void 0===s)break;if(s&&l&&\"object\"==typeof l&&void 0===l.outlets){if(!re(s,l,e))return a;r+=2}else{if(!re(s,{},e))return a;r++}i++}return{match:!0,pathIndex:i,commandIndex:r}}(t,e,n),i=n.slice(r.commandIndex);if(r.match&&r.pathIndex<t.segments.length){const e=new pt(t.segments.slice(0,r.pathIndex),{});return e.children.primary=new pt(t.segments.slice(r.pathIndex),t.children),Qt(e,0,i)}return r.match&&0===i.length?new pt(t.segments,{}):r.match&&!t.hasChildren()?te(t,e,n):r.match?Qt(t,0,i):te(t,e,n)}function Qt(t,e,n){if(0===n.length)return new pt(t.segments,{});{const r=function(t){return Xt(t[0])?t[0].outlets:{[et]:t}}(n),i={};return ut(r,(n,r)=>{\"string\"==typeof n&&(n=[n]),null!==n&&(i[r]=$t(t.children[r],e,n))}),ut(t.children,(t,e)=>{void 0===r[e]&&(i[e]=t)}),new pt(t.segments,i)}}function te(t,e,n){const r=t.segments.slice(0,e);let i=0;for(;i<n.length;){const a=n[i];if(Xt(a)){const t=ee(a.outlets);return new pt(r,t)}if(0===i&&Gt(n[0])){r.push(new mt(t.segments[e].path,n[0])),i++;continue}const o=Xt(a)?a.outlets.primary:\"\"+a,s=i<n.length-1?n[i+1]:null;o&&s&&Gt(s)?(r.push(new mt(o,ne(s))),i+=2):(r.push(new mt(o,{})),i++)}return new pt(r,{})}function ee(t){const e={};return ut(t,(t,n)=>{\"string\"==typeof t&&(t=[t]),null!==t&&(e[n]=te(new pt([],{}),0,t))}),e}function ne(t){const e={};return ut(t,(t,n)=>e[n]=\"\"+t),e}function re(t,e,n){return t==n.path&&ot(e,n.parameters)}class ie{constructor(t,e,n,r){this.routeReuseStrategy=t,this.futureState=e,this.currState=n,this.forwardEvent=r}activate(t){const e=this.futureState._root,n=this.currState?this.currState._root:null;this.deactivateChildRoutes(e,n,t),Wt(this.futureState.root),this.activateChildRoutes(e,n,t)}deactivateChildRoutes(t,e,n){const r=zt(e);t.children.forEach(t=>{const e=t.value.outlet;this.deactivateRoutes(t,r[e],n),delete r[e]}),ut(r,(t,e)=>{this.deactivateRouteAndItsChildren(t,n)})}deactivateRoutes(t,e,n){const r=t.value,i=e?e.value:null;if(r===i)if(r.component){const i=n.getContext(r.outlet);i&&this.deactivateChildRoutes(t,e,i.children)}else this.deactivateChildRoutes(t,e,n);else i&&this.deactivateRouteAndItsChildren(e,n)}deactivateRouteAndItsChildren(t,e){this.routeReuseStrategy.shouldDetach(t.value.snapshot)?this.detachAndStoreRouteSubtree(t,e):this.deactivateRouteAndOutlet(t,e)}detachAndStoreRouteSubtree(t,e){const n=e.getContext(t.value.outlet);if(n&&n.outlet){const e=n.outlet.detach(),r=n.children.onOutletDeactivated();this.routeReuseStrategy.store(t.value.snapshot,{componentRef:e,route:t,contexts:r})}}deactivateRouteAndOutlet(t,e){const n=e.getContext(t.value.outlet),r=n&&t.value.component?n.children:e,i=zt(t);for(const a of Object.keys(i))this.deactivateRouteAndItsChildren(i[a],r);n&&n.outlet&&(n.outlet.deactivate(),n.children.onOutletDeactivated())}activateChildRoutes(t,e,n){const r=zt(e);t.children.forEach(t=>{this.activateRoutes(t,r[t.value.outlet],n),this.forwardEvent(new Q(t.value.snapshot))}),t.children.length&&this.forwardEvent(new K(t.value.snapshot))}activateRoutes(t,e,n){const r=t.value,i=e?e.value:null;if(Wt(r),r===i)if(r.component){const i=n.getOrCreateContext(r.outlet);this.activateChildRoutes(t,e,i.children)}else this.activateChildRoutes(t,e,n);else if(r.component){const e=n.getOrCreateContext(r.outlet);if(this.routeReuseStrategy.shouldAttach(r.snapshot)){const t=this.routeReuseStrategy.retrieve(r.snapshot);this.routeReuseStrategy.store(r.snapshot,null),e.children.onOutletReAttached(t.contexts),e.attachRef=t.componentRef,e.route=t.route.value,e.outlet&&e.outlet.attach(t.componentRef,t.route.value),ae(t.route)}else{const n=function(t){for(let e=t.parent;e;e=e.parent){const t=e.routeConfig;if(t&&t._loadedConfig)return t._loadedConfig;if(t&&t.component)return null}return null}(r.snapshot),i=n?n.module.componentFactoryResolver:null;e.attachRef=null,e.route=r,e.resolver=i,e.outlet&&e.outlet.activateWith(r,i),this.activateChildRoutes(t,null,e.children)}}else this.activateChildRoutes(t,null,n)}}function ae(t){Wt(t.value),t.children.forEach(ae)}class oe{constructor(t,e){this.routes=t,this.module=e}}function se(t){return\"function\"==typeof t}function le(t){return t instanceof ft}const ce=Symbol(\"INITIAL_VALUE\");function ue(){return Object(g.a)(t=>Object(l.a)(t.map(t=>t.pipe(Object(y.a)(1),Object(v.a)(ce)))).pipe(b((t,e)=>{let n=!1;return e.reduce((t,r,i)=>{if(t!==ce)return t;if(r===ce&&(n=!0),!n){if(!1===r)return r;if(i===e.length-1||le(r))return r}return t},t)},ce),Object(k.a)(t=>t!==ce),Object(m.a)(t=>le(t)?t:!0===t),Object(y.a)(1)))}let he=(()=>{class t{}return t.\\u0275fac=function(e){return new(e||t)},t.\\u0275cmp=i.Rb({type:t,selectors:[[\"ng-component\"]],decls:1,vars:0,template:function(t,e){1&t&&i.Yb(0,\"router-outlet\")},directives:function(){return[on]},encapsulation:2}),t})();function de(t,e=\"\"){for(let n=0;n<t.length;n++){const r=t[n];fe(r,pe(e,r))}}function fe(t,e){t.children&&de(t.children,e)}function pe(t,e){return e?t||e.path?t&&!e.path?t+\"/\":!t&&e.path?e.path:`${t}/${e.path}`:\"\":t}function me(t){const e=t.children&&t.children.map(me),n=e?Object.assign(Object.assign({},t),{children:e}):Object.assign({},t);return!n.component&&(e||n.loadChildren)&&n.outlet&&n.outlet!==et&&(n.component=he),n}function ge(t){return t.outlet||et}function ye(t,e){const n=t.filter(t=>ge(t)===e);return n.push(...t.filter(t=>ge(t)!==e)),n}const ve={matched:!1,consumedSegments:[],lastChild:0,parameters:{},positionalParamSegments:{}};function _e(t,e,n){var r;if(\"\"===e.path)return\"full\"===e.pathMatch&&(t.hasChildren()||n.length>0)?Object.assign({},ve):{matched:!0,consumedSegments:[],lastChild:0,parameters:{},positionalParamSegments:{}};const i=(e.matcher||at)(n,t,e);if(!i)return Object.assign({},ve);const a={};ut(i.posParams,(t,e)=>{a[e]=t.path});const o=i.consumed.length>0?Object.assign(Object.assign({},a),i.consumed[i.consumed.length-1].parameters):a;return{matched:!0,consumedSegments:i.consumed,lastChild:i.consumed.length,parameters:o,positionalParamSegments:null!==(r=i.posParams)&&void 0!==r?r:{}}}function be(t,e,n,r,i=\"corrected\"){if(n.length>0&&function(t,e,n){return n.some(n=>xe(t,e,n)&&ge(n)!==et)}(t,n,r)){const i=new pt(e,function(t,e,n,r){const i={};i.primary=r,r._sourceSegment=t,r._segmentIndexShift=e.length;for(const a of n)if(\"\"===a.path&&ge(a)!==et){const n=new pt([],{});n._sourceSegment=t,n._segmentIndexShift=e.length,i[ge(a)]=n}return i}(t,e,r,new pt(n,t.children)));return i._sourceSegment=t,i._segmentIndexShift=e.length,{segmentGroup:i,slicedSegments:[]}}if(0===n.length&&function(t,e,n){return n.some(n=>xe(t,e,n))}(t,n,r)){const a=new pt(t.segments,function(t,e,n,r,i,a){const o={};for(const s of r)if(xe(t,n,s)&&!i[ge(s)]){const n=new pt([],{});n._sourceSegment=t,n._segmentIndexShift=\"legacy\"===a?t.segments.length:e.length,o[ge(s)]=n}return Object.assign(Object.assign({},i),o)}(t,e,n,r,t.children,i));return a._sourceSegment=t,a._segmentIndexShift=e.length,{segmentGroup:a,slicedSegments:n}}const a=new pt(t.segments,t.children);return a._sourceSegment=t,a._segmentIndexShift=e.length,{segmentGroup:a,slicedSegments:n}}function xe(t,e,n){return(!(t.hasChildren()||e.length>0)||\"full\"!==n.pathMatch)&&\"\"===n.path}function we(t,e,n,r){return!!(ge(t)===r||r!==et&&xe(e,n,t))&&(\"**\"===t.path||_e(e,t,n).matched)}function ke(t,e,n){return 0===e.length&&!t.children[n]}class Me{constructor(t){this.segmentGroup=t||null}}class Te{constructor(t){this.urlTree=t}}function Se(t){return new c.a(e=>e.error(new Me(t)))}function Ae(t){return new c.a(e=>e.error(new Te(t)))}function Le(t){return new c.a(e=>e.error(new Error(`Only absolute redirects can have named outlets. redirectTo: '${t}'`)))}class Ce{constructor(t,e,n,r,a){this.configLoader=e,this.urlSerializer=n,this.urlTree=r,this.config=a,this.allowRedirects=!0,this.ngModule=t.get(i.F)}apply(){const t=be(this.urlTree.root,[],[],this.config).segmentGroup,e=new pt(t.segments,t.children);return this.expandSegmentGroup(this.ngModule,this.config,e,et).pipe(Object(m.a)(t=>this.createUrlTree(Ee(t),this.urlTree.queryParams,this.urlTree.fragment))).pipe(Object(M.a)(t=>{if(t instanceof Te)return this.allowRedirects=!1,this.match(t.urlTree);if(t instanceof Me)throw this.noMatchError(t);throw t}))}match(t){return this.expandSegmentGroup(this.ngModule,this.config,t.root,et).pipe(Object(m.a)(e=>this.createUrlTree(Ee(e),t.queryParams,t.fragment))).pipe(Object(M.a)(t=>{if(t instanceof Me)throw this.noMatchError(t);throw t}))}noMatchError(t){return new Error(`Cannot match any routes. URL Segment: '${t.segmentGroup}'`)}createUrlTree(t,e,n){const r=t.segments.length>0?new pt([],{[et]:t}):t;return new ft(r,e,n)}expandSegmentGroup(t,e,n,r){return 0===n.segments.length&&n.hasChildren()?this.expandChildren(t,e,n).pipe(Object(m.a)(t=>new pt([],t))):this.expandSegment(t,n,e,n.segments,r,!0)}expandChildren(t,e,n){const r=[];for(const i of Object.keys(n.children))\"primary\"===i?r.unshift(i):r.push(i);return Object(a.a)(r).pipe(Object(T.a)(r=>{const i=n.children[r],a=ye(e,r);return this.expandSegmentGroup(t,a,i,r).pipe(Object(m.a)(t=>({segment:t,outlet:r})))}),b((t,e)=>(t[e.outlet]=e.segment,t),{}),function(t,e){const n=arguments.length>=2;return r=>r.pipe(t?Object(k.a)((e,n)=>t(e,n,r)):D.a,A(1),n?Object(O.a)(e):Object(E.a)(()=>new u.a))}())}expandSegment(t,e,n,r,i,s){return Object(a.a)(n).pipe(Object(T.a)(a=>this.expandSegmentAgainstRoute(t,e,n,a,r,i,s).pipe(Object(M.a)(t=>{if(t instanceof Me)return Object(o.a)(null);throw t}))),Object(I.a)(t=>!!t),Object(M.a)((t,n)=>{if(t instanceof u.a||\"EmptyError\"===t.name){if(ke(e,r,i))return Object(o.a)(new pt([],{}));throw new Me(e)}throw t}))}expandSegmentAgainstRoute(t,e,n,r,i,a,o){return we(r,e,i,a)?void 0===r.redirectTo?this.matchSegmentAgainstRoute(t,e,r,i,a):o&&this.allowRedirects?this.expandSegmentAgainstRouteUsingRedirect(t,e,n,r,i,a):Se(e):Se(e)}expandSegmentAgainstRouteUsingRedirect(t,e,n,r,i,a){return\"**\"===r.path?this.expandWildCardWithParamsAgainstRouteUsingRedirect(t,n,r,a):this.expandRegularSegmentAgainstRouteUsingRedirect(t,e,n,r,i,a)}expandWildCardWithParamsAgainstRouteUsingRedirect(t,e,n,r){const i=this.applyRedirectCommands([],n.redirectTo,{});return n.redirectTo.startsWith(\"/\")?Ae(i):this.lineralizeSegments(n,i).pipe(Object(P.a)(n=>{const i=new pt(n,{});return this.expandSegment(t,i,e,n,r,!1)}))}expandRegularSegmentAgainstRouteUsingRedirect(t,e,n,r,i,a){const{matched:o,consumedSegments:s,lastChild:l,positionalParamSegments:c}=_e(e,r,i);if(!o)return Se(e);const u=this.applyRedirectCommands(s,r.redirectTo,c);return r.redirectTo.startsWith(\"/\")?Ae(u):this.lineralizeSegments(r,u).pipe(Object(P.a)(r=>this.expandSegment(t,e,n,r.concat(i.slice(l)),a,!1)))}matchSegmentAgainstRoute(t,e,n,r,i){if(\"**\"===n.path)return n.loadChildren?this.configLoader.load(t.injector,n).pipe(Object(m.a)(t=>(n._loadedConfig=t,new pt(r,{})))):Object(o.a)(new pt(r,{}));const{matched:a,consumedSegments:s,lastChild:l}=_e(e,n,r);if(!a)return Se(e);const c=r.slice(l);return this.getChildConfig(t,n,r).pipe(Object(P.a)(t=>{const r=t.module,a=t.routes,{segmentGroup:l,slicedSegments:u}=be(e,s,c,a),h=new pt(l.segments,l.children);if(0===u.length&&h.hasChildren())return this.expandChildren(r,a,h).pipe(Object(m.a)(t=>new pt(s,t)));if(0===a.length&&0===u.length)return Object(o.a)(new pt(s,{}));const d=ge(n)===i;return this.expandSegment(r,h,a,u,d?et:i,!0).pipe(Object(m.a)(t=>new pt(s.concat(t.segments),t.children)))}))}getChildConfig(t,e,n){return e.children?Object(o.a)(new oe(e.children,t)):e.loadChildren?void 0!==e._loadedConfig?Object(o.a)(e._loadedConfig):this.runCanLoadGuards(t.injector,e,n).pipe(Object(P.a)(n=>n?this.configLoader.load(t.injector,e).pipe(Object(m.a)(t=>(e._loadedConfig=t,t))):function(t){return new c.a(e=>e.error(it(`Cannot load children because the guard of the route \"path: '${t.path}'\" returned false`)))}(e))):Object(o.a)(new oe([],t))}runCanLoadGuards(t,e,n){const r=e.canLoad;if(!r||0===r.length)return Object(o.a)(!0);const i=r.map(r=>{const i=t.get(r);let a;if(function(t){return t&&se(t.canLoad)}(i))a=i.canLoad(e,n);else{if(!se(i))throw new Error(\"Invalid CanLoad guard\");a=i(e,n)}return ht(a)});return Object(o.a)(i).pipe(ue(),Object(R.a)(t=>{if(!le(t))return;const e=it(`Redirecting to \"${this.urlSerializer.serialize(t)}\"`);throw e.url=t,e}),Object(m.a)(t=>!0===t))}lineralizeSegments(t,e){let n=[],r=e.root;for(;;){if(n=n.concat(r.segments),0===r.numberOfChildren)return Object(o.a)(n);if(r.numberOfChildren>1||!r.children.primary)return Le(t.redirectTo);r=r.children.primary}}applyRedirectCommands(t,e,n){return this.applyRedirectCreatreUrlTree(e,this.urlSerializer.parse(e),t,n)}applyRedirectCreatreUrlTree(t,e,n,r){const i=this.createSegmentGroup(t,e.root,n,r);return new ft(i,this.createQueryParams(e.queryParams,this.urlTree.queryParams),e.fragment)}createQueryParams(t,e){const n={};return ut(t,(t,r)=>{if(\"string\"==typeof t&&t.startsWith(\":\")){const i=t.substring(1);n[r]=e[i]}else n[r]=t}),n}createSegmentGroup(t,e,n,r){const i=this.createSegments(t,e.segments,n,r);let a={};return ut(e.children,(e,i)=>{a[i]=this.createSegmentGroup(t,e,n,r)}),new pt(i,a)}createSegments(t,e,n,r){return e.map(e=>e.path.startsWith(\":\")?this.findPosParam(t,e,r):this.findOrReturn(e,n))}findPosParam(t,e,n){const r=n[e.path.substring(1)];if(!r)throw new Error(`Cannot redirect to '${t}'. Cannot find '${e.path}'.`);return r}findOrReturn(t,e){let n=0;for(const r of e){if(r.path===t.path)return e.splice(n),r;n++}return t}}function Ee(t){const e={};for(const n of Object.keys(t.children)){const r=Ee(t.children[n]);(r.segments.length>0||r.hasChildren())&&(e[n]=r)}return function(t){if(1===t.numberOfChildren&&t.children.primary){const e=t.children.primary;return new pt(t.segments.concat(e.segments),e.children)}return t}(new pt(t.segments,e))}class Oe{constructor(t){this.path=t,this.route=this.path[this.path.length-1]}}class De{constructor(t,e){this.component=t,this.route=e}}function Ie(t,e,n){const r=t._root;return function t(e,n,r,i,a={canDeactivateChecks:[],canActivateChecks:[]}){const o=zt(n);return e.children.forEach(e=>{!function(e,n,r,i,a={canDeactivateChecks:[],canActivateChecks:[]}){const o=e.value,s=n?n.value:null,l=r?r.getContext(e.value.outlet):null;if(s&&o.routeConfig===s.routeConfig){const c=function(t,e,n){if(\"function\"==typeof n)return n(t,e);switch(n){case\"pathParamsChange\":return!gt(t.url,e.url);case\"pathParamsOrQueryParamsChange\":return!gt(t.url,e.url)||!ot(t.queryParams,e.queryParams);case\"always\":return!0;case\"paramsOrQueryParamsChange\":return!qt(t,e)||!ot(t.queryParams,e.queryParams);case\"paramsChange\":default:return!qt(t,e)}}(s,o,o.routeConfig.runGuardsAndResolvers);c?a.canActivateChecks.push(new Oe(i)):(o.data=s.data,o._resolvedData=s._resolvedData),t(e,n,o.component?l?l.children:null:r,i,a),c&&l&&l.outlet&&l.outlet.isActivated&&a.canDeactivateChecks.push(new De(l.outlet.component,s))}else s&&Re(n,l,a),a.canActivateChecks.push(new Oe(i)),t(e,null,o.component?l?l.children:null:r,i,a)}(e,o[e.value.outlet],r,i.concat([e.value]),a),delete o[e.value.outlet]}),ut(o,(t,e)=>Re(t,r.getContext(e),a)),a}(r,e?e._root:null,n,[r.value])}function Pe(t,e,n){const r=function(t){if(!t)return null;for(let e=t.parent;e;e=e.parent){const t=e.routeConfig;if(t&&t._loadedConfig)return t._loadedConfig}return null}(e);return(r?r.module.injector:n).get(t)}function Re(t,e,n){const r=zt(t),i=t.value;ut(r,(t,r)=>{Re(t,i.component?e?e.children.getContext(r):null:e,n)}),n.canDeactivateChecks.push(new De(i.component&&e&&e.outlet&&e.outlet.isActivated?e.outlet.component:null,i))}class ze{}function je(t){return new c.a(e=>e.error(t))}class Fe{constructor(t,e,n,r,i,a){this.rootComponentType=t,this.config=e,this.urlTree=n,this.url=r,this.paramsInheritanceStrategy=i,this.relativeLinkResolution=a}recognize(){const t=be(this.urlTree.root,[],[],this.config.filter(t=>void 0===t.redirectTo),this.relativeLinkResolution).segmentGroup,e=this.processSegmentGroup(this.config,t,et);if(null===e)return null;const n=new Yt([],Object.freeze({}),Object.freeze(Object.assign({},this.urlTree.queryParams)),this.urlTree.fragment,{},et,this.rootComponentType,null,this.urlTree.root,-1,{}),r=new Rt(n,e),i=new Ht(this.url,r);return this.inheritParamsAndData(i._root),i}inheritParamsAndData(t){const e=t.value,n=Bt(e,this.paramsInheritanceStrategy);e.params=Object.freeze(n.params),e.data=Object.freeze(n.data),t.children.forEach(t=>this.inheritParamsAndData(t))}processSegmentGroup(t,e,n){return 0===e.segments.length&&e.hasChildren()?this.processChildren(t,e):this.processSegment(t,e,e.segments,n)}processChildren(t,e){const n=[];for(const i of Object.keys(e.children)){const r=e.children[i],a=ye(t,i),o=this.processSegmentGroup(a,r,i);if(null===o)return null;n.push(...o)}const r=function(t){const e=[];for(const n of t){if(!Ne(n)){e.push(n);continue}const t=e.find(t=>n.value.routeConfig===t.value.routeConfig);void 0!==t?t.children.push(...n.children):e.push(n)}return e}(n);return r.sort((t,e)=>t.value.outlet===et?-1:e.value.outlet===et?1:t.value.outlet.localeCompare(e.value.outlet)),r}processSegment(t,e,n,r){for(const i of t){const t=this.processSegmentAgainstRoute(i,e,n,r);if(null!==t)return t}return ke(e,n,r)?[]:null}processSegmentAgainstRoute(t,e,n,r){if(t.redirectTo||!we(t,e,n,r))return null;let i,a=[],o=[];if(\"**\"===t.path){const r=n.length>0?ct(n).parameters:{};i=new Yt(n,r,Object.freeze(Object.assign({},this.urlTree.queryParams)),this.urlTree.fragment,He(t),ge(t),t.component,t,Be(e),Ye(e)+n.length,Ve(t))}else{const r=_e(e,t,n);if(!r.matched)return null;a=r.consumedSegments,o=n.slice(r.lastChild),i=new Yt(a,r.parameters,Object.freeze(Object.assign({},this.urlTree.queryParams)),this.urlTree.fragment,He(t),ge(t),t.component,t,Be(e),Ye(e)+a.length,Ve(t))}const s=function(t){return t.children?t.children:t.loadChildren?t._loadedConfig.routes:[]}(t),{segmentGroup:l,slicedSegments:c}=be(e,a,o,s.filter(t=>void 0===t.redirectTo),this.relativeLinkResolution);if(0===c.length&&l.hasChildren()){const t=this.processChildren(s,l);return null===t?null:[new Rt(i,t)]}if(0===s.length&&0===c.length)return[new Rt(i,[])];const u=ge(t)===r,h=this.processSegment(s,l,c,u?et:r);return null===h?null:[new Rt(i,h)]}}function Ne(t){const e=t.value.routeConfig;return e&&\"\"===e.path&&void 0===e.redirectTo}function Be(t){let e=t;for(;e._sourceSegment;)e=e._sourceSegment;return e}function Ye(t){let e=t,n=e._segmentIndexShift?e._segmentIndexShift:0;for(;e._sourceSegment;)e=e._sourceSegment,n+=e._segmentIndexShift?e._segmentIndexShift:0;return n-1}function He(t){return t.data||{}}function Ve(t){return t.resolve||{}}function Ue(t){return Object(g.a)(e=>{const n=t(e);return n?Object(a.a)(n).pipe(Object(m.a)(()=>e)):Object(o.a)(e)})}class We extends class{shouldDetach(t){return!1}store(t,e){}shouldAttach(t){return!1}retrieve(t){return null}shouldReuseRoute(t,e){return t.routeConfig===e.routeConfig}}{}const qe=new i.w(\"ROUTES\");class Ge{constructor(t,e,n,r){this.loader=t,this.compiler=e,this.onLoadStartListener=n,this.onLoadEndListener=r}load(t,e){return this.onLoadStartListener&&this.onLoadStartListener(e),this.loadModuleFactory(e.loadChildren).pipe(Object(m.a)(n=>{this.onLoadEndListener&&this.onLoadEndListener(e);const r=n.create(t);return new oe(lt(r.injector.get(qe)).map(me),r)}))}loadModuleFactory(t){return\"string\"==typeof t?Object(a.a)(this.loader.load(t)):ht(t()).pipe(Object(P.a)(t=>t instanceof i.D?Object(o.a)(t):Object(a.a)(this.compiler.compileModuleAsync(t))))}}class Xe{constructor(){this.outlet=null,this.route=null,this.resolver=null,this.children=new Ze,this.attachRef=null}}class Ze{constructor(){this.contexts=new Map}onChildOutletCreated(t,e){const n=this.getOrCreateContext(t);n.outlet=e,this.contexts.set(t,n)}onChildOutletDestroyed(t){const e=this.getContext(t);e&&(e.outlet=null)}onOutletDeactivated(){const t=this.contexts;return this.contexts=new Map,t}onOutletReAttached(t){this.contexts=t}getOrCreateContext(t){let e=this.getContext(t);return e||(e=new Xe,this.contexts.set(t,e)),e}getContext(t){return this.contexts.get(t)||null}}class Je{shouldProcessUrl(t){return!0}extract(t){return t}merge(t,e){return t}}function Ke(t){throw t}function $e(t,e,n){return e.parse(\"/\")}function Qe(t,e){return Object(o.a)(null)}let tn=(()=>{class t{constructor(t,e,n,r,a,o,l,c){this.rootComponentType=t,this.urlSerializer=e,this.rootContexts=n,this.location=r,this.config=c,this.lastSuccessfulNavigation=null,this.currentNavigation=null,this.lastLocationChangeInfo=null,this.navigationId=0,this.isNgZoneEnabled=!1,this.events=new p.a,this.errorHandler=Ke,this.malformedUriErrorHandler=$e,this.navigated=!1,this.lastSuccessfulId=-1,this.hooks={beforePreactivation:Qe,afterPreactivation:Qe},this.urlHandlingStrategy=new Je,this.routeReuseStrategy=new We,this.onSameUrlNavigation=\"ignore\",this.paramsInheritanceStrategy=\"emptyOnly\",this.urlUpdateStrategy=\"deferred\",this.relativeLinkResolution=\"corrected\",this.ngModule=a.get(i.F),this.console=a.get(i.jb);const u=a.get(i.H);this.isNgZoneEnabled=u instanceof i.H&&i.H.isInAngularZone(),this.resetConfig(c),this.currentUrlTree=new ft(new pt([],{}),{},null),this.rawUrlTree=this.currentUrlTree,this.browserUrlTree=this.currentUrlTree,this.configLoader=new Ge(o,l,t=>this.triggerEvent(new X(t)),t=>this.triggerEvent(new Z(t))),this.routerState=Ft(this.currentUrlTree,this.rootComponentType),this.transitions=new s.a({id:0,currentUrlTree:this.currentUrlTree,currentRawUrl:this.currentUrlTree,extractedUrl:this.urlHandlingStrategy.extract(this.currentUrlTree),urlAfterRedirects:this.urlHandlingStrategy.extract(this.currentUrlTree),rawUrl:this.currentUrlTree,extras:{},resolve:null,reject:null,promise:Promise.resolve(!0),source:\"imperative\",restoredState:null,currentSnapshot:this.routerState.snapshot,targetSnapshot:null,currentRouterState:this.routerState,targetRouterState:null,guards:{canActivateChecks:[],canDeactivateChecks:[]},guardsResult:null}),this.navigations=this.setupNavigations(this.transitions),this.processNavigations()}setupNavigations(t){const e=this.events;return t.pipe(Object(k.a)(t=>0!==t.id),Object(m.a)(t=>Object.assign(Object.assign({},t),{extractedUrl:this.urlHandlingStrategy.extract(t.rawUrl)})),Object(g.a)(t=>{let n=!1,r=!1;return Object(o.a)(t).pipe(Object(R.a)(t=>{this.currentNavigation={id:t.id,initialUrl:t.currentRawUrl,extractedUrl:t.extractedUrl,trigger:t.source,extras:t.extras,previousNavigation:this.lastSuccessfulNavigation?Object.assign(Object.assign({},this.lastSuccessfulNavigation),{previousNavigation:null}):null}}),Object(g.a)(t=>{const n=!this.navigated||t.extractedUrl.toString()!==this.browserUrlTree.toString();if((\"reload\"===this.onSameUrlNavigation||n)&&this.urlHandlingStrategy.shouldProcessUrl(t.rawUrl))return Object(o.a)(t).pipe(Object(g.a)(t=>{const n=this.transitions.getValue();return e.next(new N(t.id,this.serializeUrl(t.extractedUrl),t.source,t.restoredState)),n!==this.transitions.getValue()?f.a:Promise.resolve(t)}),(r=this.ngModule.injector,i=this.configLoader,a=this.urlSerializer,s=this.config,Object(g.a)(t=>function(t,e,n,r,i){return new Ce(t,e,n,r,i).apply()}(r,i,a,t.extractedUrl,s).pipe(Object(m.a)(e=>Object.assign(Object.assign({},t),{urlAfterRedirects:e}))))),Object(R.a)(t=>{this.currentNavigation=Object.assign(Object.assign({},this.currentNavigation),{finalUrl:t.urlAfterRedirects})}),function(t,e,n,r,i){return Object(P.a)(a=>function(t,e,n,r,i=\"emptyOnly\",a=\"legacy\"){try{const s=new Fe(t,e,n,r,i,a).recognize();return null===s?je(new ze):Object(o.a)(s)}catch(s){return je(s)}}(t,e,a.urlAfterRedirects,n(a.urlAfterRedirects),r,i).pipe(Object(m.a)(t=>Object.assign(Object.assign({},a),{targetSnapshot:t}))))}(this.rootComponentType,this.config,t=>this.serializeUrl(t),this.paramsInheritanceStrategy,this.relativeLinkResolution),Object(R.a)(t=>{\"eager\"===this.urlUpdateStrategy&&(t.extras.skipLocationChange||this.setBrowserUrl(t.urlAfterRedirects,!!t.extras.replaceUrl,t.id,t.extras.state),this.browserUrlTree=t.urlAfterRedirects);const n=new V(t.id,this.serializeUrl(t.extractedUrl),this.serializeUrl(t.urlAfterRedirects),t.targetSnapshot);e.next(n)}));var r,i,a,s;if(n&&this.rawUrlTree&&this.urlHandlingStrategy.shouldProcessUrl(this.rawUrlTree)){const{id:n,extractedUrl:r,source:i,restoredState:a,extras:s}=t,l=new N(n,this.serializeUrl(r),i,a);e.next(l);const c=Ft(r,this.rootComponentType).snapshot;return Object(o.a)(Object.assign(Object.assign({},t),{targetSnapshot:c,urlAfterRedirects:r,extras:Object.assign(Object.assign({},s),{skipLocationChange:!1,replaceUrl:!1})}))}return this.rawUrlTree=t.rawUrl,this.browserUrlTree=t.urlAfterRedirects,t.resolve(null),f.a}),Ue(t=>{const{targetSnapshot:e,id:n,extractedUrl:r,rawUrl:i,extras:{skipLocationChange:a,replaceUrl:o}}=t;return this.hooks.beforePreactivation(e,{navigationId:n,appliedUrlTree:r,rawUrlTree:i,skipLocationChange:!!a,replaceUrl:!!o})}),Object(R.a)(t=>{const e=new U(t.id,this.serializeUrl(t.extractedUrl),this.serializeUrl(t.urlAfterRedirects),t.targetSnapshot);this.triggerEvent(e)}),Object(m.a)(t=>Object.assign(Object.assign({},t),{guards:Ie(t.targetSnapshot,t.currentSnapshot,this.rootContexts)})),function(t,e){return Object(P.a)(n=>{const{targetSnapshot:r,currentSnapshot:i,guards:{canActivateChecks:s,canDeactivateChecks:l}}=n;return 0===l.length&&0===s.length?Object(o.a)(Object.assign(Object.assign({},n),{guardsResult:!0})):function(t,e,n,r){return Object(a.a)(t).pipe(Object(P.a)(t=>function(t,e,n,r,i){const a=e&&e.routeConfig?e.routeConfig.canDeactivate:null;if(!a||0===a.length)return Object(o.a)(!0);const s=a.map(a=>{const o=Pe(a,e,i);let s;if(function(t){return t&&se(t.canDeactivate)}(o))s=ht(o.canDeactivate(t,e,n,r));else{if(!se(o))throw new Error(\"Invalid CanDeactivate guard\");s=ht(o(t,e,n,r))}return s.pipe(Object(I.a)())});return Object(o.a)(s).pipe(ue())}(t.component,t.route,n,e,r)),Object(I.a)(t=>!0!==t,!0))}(l,r,i,t).pipe(Object(P.a)(n=>n&&\"boolean\"==typeof n?function(t,e,n,r){return Object(a.a)(e).pipe(Object(T.a)(e=>Object(h.a)(function(t,e){return null!==t&&e&&e(new J(t)),Object(o.a)(!0)}(e.route.parent,r),function(t,e){return null!==t&&e&&e(new $(t)),Object(o.a)(!0)}(e.route,r),function(t,e,n){const r=e[e.length-1],i=e.slice(0,e.length-1).reverse().map(t=>function(t){const e=t.routeConfig?t.routeConfig.canActivateChild:null;return e&&0!==e.length?{node:t,guards:e}:null}(t)).filter(t=>null!==t).map(e=>Object(d.a)(()=>{const i=e.guards.map(i=>{const a=Pe(i,e.node,n);let o;if(function(t){return t&&se(t.canActivateChild)}(a))o=ht(a.canActivateChild(r,t));else{if(!se(a))throw new Error(\"Invalid CanActivateChild guard\");o=ht(a(r,t))}return o.pipe(Object(I.a)())});return Object(o.a)(i).pipe(ue())}));return Object(o.a)(i).pipe(ue())}(t,e.path,n),function(t,e,n){const r=e.routeConfig?e.routeConfig.canActivate:null;if(!r||0===r.length)return Object(o.a)(!0);const i=r.map(r=>Object(d.a)(()=>{const i=Pe(r,e,n);let a;if(function(t){return t&&se(t.canActivate)}(i))a=ht(i.canActivate(e,t));else{if(!se(i))throw new Error(\"Invalid CanActivate guard\");a=ht(i(e,t))}return a.pipe(Object(I.a)())}));return Object(o.a)(i).pipe(ue())}(t,e.route,n))),Object(I.a)(t=>!0!==t,!0))}(r,s,t,e):Object(o.a)(n)),Object(m.a)(t=>Object.assign(Object.assign({},n),{guardsResult:t})))})}(this.ngModule.injector,t=>this.triggerEvent(t)),Object(R.a)(t=>{if(le(t.guardsResult)){const e=it(`Redirecting to \"${this.serializeUrl(t.guardsResult)}\"`);throw e.url=t.guardsResult,e}const e=new W(t.id,this.serializeUrl(t.extractedUrl),this.serializeUrl(t.urlAfterRedirects),t.targetSnapshot,!!t.guardsResult);this.triggerEvent(e)}),Object(k.a)(t=>{if(!t.guardsResult){this.resetUrlToCurrentUrlTree();const n=new Y(t.id,this.serializeUrl(t.extractedUrl),\"\");return e.next(n),t.resolve(!1),!1}return!0}),Ue(t=>{if(t.guards.canActivateChecks.length)return Object(o.a)(t).pipe(Object(R.a)(t=>{const e=new q(t.id,this.serializeUrl(t.extractedUrl),this.serializeUrl(t.urlAfterRedirects),t.targetSnapshot);this.triggerEvent(e)}),Object(g.a)(t=>{let n=!1;return Object(o.a)(t).pipe((r=this.paramsInheritanceStrategy,i=this.ngModule.injector,Object(P.a)(t=>{const{targetSnapshot:e,guards:{canActivateChecks:n}}=t;if(!n.length)return Object(o.a)(t);let s=0;return Object(a.a)(n).pipe(Object(T.a)(t=>function(t,e,n,r){return function(t,e,n,r){const i=Object.keys(t);if(0===i.length)return Object(o.a)({});const s={};return Object(a.a)(i).pipe(Object(P.a)(i=>function(t,e,n,r){const i=Pe(t,e,r);return ht(i.resolve?i.resolve(e,n):i(e,n))}(t[i],e,n,r).pipe(Object(R.a)(t=>{s[i]=t}))),A(1),Object(P.a)(()=>Object.keys(s).length===i.length?Object(o.a)(s):f.a))}(t._resolve,t,e,r).pipe(Object(m.a)(e=>(t._resolvedData=e,t.data=Object.assign(Object.assign({},t.data),Bt(t,n).resolve),null)))}(t.route,e,r,i)),Object(R.a)(()=>s++),A(1),Object(P.a)(e=>s===n.length?Object(o.a)(t):f.a))})),Object(R.a)({next:()=>n=!0,complete:()=>{if(!n){const n=new Y(t.id,this.serializeUrl(t.extractedUrl),\"At least one route resolver didn't emit any value.\");e.next(n),t.resolve(!1)}}}));var r,i}),Object(R.a)(t=>{const e=new G(t.id,this.serializeUrl(t.extractedUrl),this.serializeUrl(t.urlAfterRedirects),t.targetSnapshot);this.triggerEvent(e)}))}),Ue(t=>{const{targetSnapshot:e,id:n,extractedUrl:r,rawUrl:i,extras:{skipLocationChange:a,replaceUrl:o}}=t;return this.hooks.afterPreactivation(e,{navigationId:n,appliedUrlTree:r,rawUrlTree:i,skipLocationChange:!!a,replaceUrl:!!o})}),Object(m.a)(t=>{const e=function(t,e,n){const r=function t(e,n,r){if(r&&e.shouldReuseRoute(n.value,r.value.snapshot)){const i=r.value;i._futureSnapshot=n.value;const a=function(e,n,r){return n.children.map(n=>{for(const i of r.children)if(e.shouldReuseRoute(n.value,i.value.snapshot))return t(e,n,i);return t(e,n)})}(e,n,r);return new Rt(i,a)}{const r=e.retrieve(n.value);if(r){const t=r.route;return function t(e,n){if(e.value.routeConfig!==n.value.routeConfig)throw new Error(\"Cannot reattach ActivatedRouteSnapshot created from a different route\");if(e.children.length!==n.children.length)throw new Error(\"Cannot reattach ActivatedRouteSnapshot with a different number of children\");n.value._futureSnapshot=e.value;for(let r=0;r<e.children.length;++r)t(e.children[r],n.children[r])}(n,t),t}{const r=new Nt(new s.a((i=n.value).url),new s.a(i.params),new s.a(i.queryParams),new s.a(i.fragment),new s.a(i.data),i.outlet,i.component,i),a=n.children.map(n=>t(e,n));return new Rt(r,a)}}var i}(t,e._root,n?n._root:void 0);return new jt(r,e)}(this.routeReuseStrategy,t.targetSnapshot,t.currentRouterState);return Object.assign(Object.assign({},t),{targetRouterState:e})}),Object(R.a)(t=>{this.currentUrlTree=t.urlAfterRedirects,this.rawUrlTree=this.urlHandlingStrategy.merge(this.currentUrlTree,t.rawUrl),this.routerState=t.targetRouterState,\"deferred\"===this.urlUpdateStrategy&&(t.extras.skipLocationChange||this.setBrowserUrl(this.rawUrlTree,!!t.extras.replaceUrl,t.id,t.extras.state),this.browserUrlTree=t.urlAfterRedirects)}),(i=this.rootContexts,l=this.routeReuseStrategy,c=t=>this.triggerEvent(t),Object(m.a)(t=>(new ie(l,t.targetRouterState,t.currentRouterState,c).activate(i),t))),Object(R.a)({next(){n=!0},complete(){n=!0}}),Object(z.a)(()=>{if(!n&&!r){this.resetUrlToCurrentUrlTree();const n=new Y(t.id,this.serializeUrl(t.extractedUrl),`Navigation ID ${t.id} is not equal to the current navigation id ${this.navigationId}`);e.next(n),t.resolve(!1)}this.currentNavigation=null}),Object(M.a)(n=>{if(r=!0,(i=n)&&i.ngNavigationCancelingError){const r=le(n.url);r||(this.navigated=!0,this.resetStateAndUrl(t.currentRouterState,t.currentUrlTree,t.rawUrl));const i=new Y(t.id,this.serializeUrl(t.extractedUrl),n.message);e.next(i),r?setTimeout(()=>{const e=this.urlHandlingStrategy.merge(n.url,this.rawUrlTree);this.scheduleNavigation(e,\"imperative\",null,{skipLocationChange:t.extras.skipLocationChange,replaceUrl:\"eager\"===this.urlUpdateStrategy},{resolve:t.resolve,reject:t.reject,promise:t.promise})},0):t.resolve(!1)}else{this.resetStateAndUrl(t.currentRouterState,t.currentUrlTree,t.rawUrl);const r=new H(t.id,this.serializeUrl(t.extractedUrl),n);e.next(r);try{t.resolve(this.errorHandler(n))}catch(a){t.reject(a)}}var i;return f.a}));var i,l,c}))}resetRootComponentType(t){this.rootComponentType=t,this.routerState.root.component=this.rootComponentType}getTransition(){const t=this.transitions.value;return t.urlAfterRedirects=this.browserUrlTree,t}setTransition(t){this.transitions.next(Object.assign(Object.assign({},this.getTransition()),t))}initialNavigation(){this.setUpLocationChangeListener(),0===this.navigationId&&this.navigateByUrl(this.location.path(!0),{replaceUrl:!0})}setUpLocationChangeListener(){this.locationSubscription||(this.locationSubscription=this.location.subscribe(t=>{const e=this.extractLocationChangeInfoFromEvent(t);this.shouldScheduleNavigation(this.lastLocationChangeInfo,e)&&setTimeout(()=>{const{source:t,state:n,urlTree:r}=e,i={replaceUrl:!0};if(n){const t=Object.assign({},n);delete t.navigationId,0!==Object.keys(t).length&&(i.state=t)}this.scheduleNavigation(r,t,n,i)},0),this.lastLocationChangeInfo=e}))}extractLocationChangeInfoFromEvent(t){var e;return{source:\"popstate\"===t.type?\"popstate\":\"hashchange\",urlTree:this.parseUrl(t.url),state:(null===(e=t.state)||void 0===e?void 0:e.navigationId)?t.state:null,transitionId:this.getTransition().id}}shouldScheduleNavigation(t,e){if(!t)return!0;const n=e.urlTree.toString()===t.urlTree.toString();return!(e.transitionId===t.transitionId&&n&&(\"hashchange\"===e.source&&\"popstate\"===t.source||\"popstate\"===e.source&&\"hashchange\"===t.source))}get url(){return this.serializeUrl(this.currentUrlTree)}getCurrentNavigation(){return this.currentNavigation}triggerEvent(t){this.events.next(t)}resetConfig(t){de(t),this.config=t.map(me),this.navigated=!1,this.lastSuccessfulId=-1}ngOnDestroy(){this.dispose()}dispose(){this.locationSubscription&&(this.locationSubscription.unsubscribe(),this.locationSubscription=void 0)}createUrlTree(t,e={}){const{relativeTo:n,queryParams:r,fragment:i,queryParamsHandling:a,preserveFragment:o}=e,s=n||this.routerState.root,l=o?this.currentUrlTree.fragment:i;let c=null;switch(a){case\"merge\":c=Object.assign(Object.assign({},this.currentUrlTree.queryParams),r);break;case\"preserve\":c=this.currentUrlTree.queryParams;break;default:c=r||null}return null!==c&&(c=this.removeEmptyProps(c)),function(t,e,n,r,i){if(0===n.length)return Zt(e.root,e.root,e,r,i);const a=function(t){if(\"string\"==typeof t[0]&&1===t.length&&\"/\"===t[0])return new Jt(!0,0,t);let e=0,n=!1;const r=t.reduce((t,r,i)=>{if(\"object\"==typeof r&&null!=r){if(r.outlets){const e={};return ut(r.outlets,(t,n)=>{e[n]=\"string\"==typeof t?t.split(\"/\"):t}),[...t,{outlets:e}]}if(r.segmentPath)return[...t,r.segmentPath]}return\"string\"!=typeof r?[...t,r]:0===i?(r.split(\"/\").forEach((r,i)=>{0==i&&\".\"===r||(0==i&&\"\"===r?n=!0:\"..\"===r?e++:\"\"!=r&&t.push(r))}),t):[...t,r]},[]);return new Jt(n,e,r)}(n);if(a.toRoot())return Zt(e.root,new pt([],{}),e,r,i);const o=function(t,e,n){if(t.isAbsolute)return new Kt(e.root,!0,0);if(-1===n.snapshot._lastPathIndex){const t=n.snapshot._urlSegment;return new Kt(t,t===e.root,0)}const r=Gt(t.commands[0])?0:1;return function(t,e,n){let r=t,i=e,a=n;for(;a>i;){if(a-=i,r=r.parent,!r)throw new Error(\"Invalid number of '../'\");i=r.segments.length}return new Kt(r,!1,i-a)}(n.snapshot._urlSegment,n.snapshot._lastPathIndex+r,t.numberOfDoubleDots)}(a,e,t),s=o.processChildren?Qt(o.segmentGroup,o.index,a.commands):$t(o.segmentGroup,o.index,a.commands);return Zt(o.segmentGroup,s,e,r,i)}(s,this.currentUrlTree,t,c,l)}navigateByUrl(t,e={skipLocationChange:!1}){const n=le(t)?t:this.parseUrl(t),r=this.urlHandlingStrategy.merge(n,this.rawUrlTree);return this.scheduleNavigation(r,\"imperative\",null,e)}navigate(t,e={skipLocationChange:!1}){return function(t){for(let e=0;e<t.length;e++){const n=t[e];if(null==n)throw new Error(`The requested path contains ${n} segment at index ${e}`)}}(t),this.navigateByUrl(this.createUrlTree(t,e),e)}serializeUrl(t){return this.urlSerializer.serialize(t)}parseUrl(t){let e;try{e=this.urlSerializer.parse(t)}catch(n){e=this.malformedUriErrorHandler(n,this.urlSerializer,t)}return e}isActive(t,e){if(le(t))return dt(this.currentUrlTree,t,e);const n=this.parseUrl(t);return dt(this.currentUrlTree,n,e)}removeEmptyProps(t){return Object.keys(t).reduce((e,n)=>{const r=t[n];return null!=r&&(e[n]=r),e},{})}processNavigations(){this.navigations.subscribe(t=>{this.navigated=!0,this.lastSuccessfulId=t.id,this.events.next(new B(t.id,this.serializeUrl(t.extractedUrl),this.serializeUrl(this.currentUrlTree))),this.lastSuccessfulNavigation=this.currentNavigation,this.currentNavigation=null,t.resolve(!0)},t=>{this.console.warn(\"Unhandled Navigation Error: \")})}scheduleNavigation(t,e,n,r,i){const a=this.getTransition(),o=\"imperative\"!==e&&\"imperative\"===(null==a?void 0:a.source),s=(this.lastSuccessfulId===a.id||this.currentNavigation?a.rawUrl:a.urlAfterRedirects).toString()===t.toString();if(o&&s)return Promise.resolve(!0);let l,c,u;i?(l=i.resolve,c=i.reject,u=i.promise):u=new Promise((t,e)=>{l=t,c=e});const h=++this.navigationId;return this.setTransition({id:h,source:e,restoredState:n,currentUrlTree:this.currentUrlTree,currentRawUrl:this.rawUrlTree,rawUrl:t,extras:r,resolve:l,reject:c,promise:u,currentSnapshot:this.routerState.snapshot,currentRouterState:this.routerState}),u.catch(t=>Promise.reject(t))}setBrowserUrl(t,e,n,r){const i=this.urlSerializer.serialize(t);r=r||{},this.location.isCurrentPathEqualTo(i)||e?this.location.replaceState(i,\"\",Object.assign(Object.assign({},r),{navigationId:n})):this.location.go(i,\"\",Object.assign(Object.assign({},r),{navigationId:n}))}resetStateAndUrl(t,e,n){this.routerState=t,this.currentUrlTree=e,this.rawUrlTree=this.urlHandlingStrategy.merge(this.currentUrlTree,n),this.resetUrlToCurrentUrlTree()}resetUrlToCurrentUrlTree(){this.location.replaceState(this.urlSerializer.serialize(this.rawUrlTree),\"\",{navigationId:this.lastSuccessfulId})}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(i.X),i.hc(yt),i.hc(Ze),i.hc(r.j),i.hc(i.x),i.hc(i.E),i.hc(i.k),i.hc(void 0))},t.\\u0275prov=i.Tb({token:t,factory:t.\\u0275fac}),t})(),en=(()=>{class t{constructor(t,e,n,r,i){this.router=t,this.route=e,this.commands=[],this.onChanges=new p.a,null==n&&r.setAttribute(i.nativeElement,\"tabindex\",\"0\")}ngOnChanges(t){this.onChanges.next(this)}set routerLink(t){this.commands=null!=t?Array.isArray(t)?t:[t]:[]}onClick(){const t={skipLocationChange:rn(this.skipLocationChange),replaceUrl:rn(this.replaceUrl),state:this.state};return this.router.navigateByUrl(this.urlTree,t),!0}get urlTree(){return this.router.createUrlTree(this.commands,{relativeTo:this.route,queryParams:this.queryParams,fragment:this.fragment,queryParamsHandling:this.queryParamsHandling,preserveFragment:rn(this.preserveFragment)})}}return t.\\u0275fac=function(e){return new(e||t)(i.Xb(tn),i.Xb(Nt),i.ic(\"tabindex\"),i.Xb(i.O),i.Xb(i.p))},t.\\u0275dir=i.Sb({type:t,selectors:[[\"\",\"routerLink\",\"\",5,\"a\",5,\"area\"]],hostBindings:function(t,e){1&t&&i.lc(\"click\",(function(){return e.onClick()}))},inputs:{routerLink:\"routerLink\",queryParams:\"queryParams\",fragment:\"fragment\",queryParamsHandling:\"queryParamsHandling\",preserveFragment:\"preserveFragment\",skipLocationChange:\"skipLocationChange\",replaceUrl:\"replaceUrl\",state:\"state\"},features:[i.Jb]}),t})(),nn=(()=>{class t{constructor(t,e,n){this.router=t,this.route=e,this.locationStrategy=n,this.commands=[],this.onChanges=new p.a,this.subscription=t.events.subscribe(t=>{t instanceof B&&this.updateTargetUrlAndHref()})}set routerLink(t){this.commands=null!=t?Array.isArray(t)?t:[t]:[]}ngOnChanges(t){this.updateTargetUrlAndHref(),this.onChanges.next(this)}ngOnDestroy(){this.subscription.unsubscribe()}onClick(t,e,n,r,i){if(0!==t||e||n||r||i)return!0;if(\"string\"==typeof this.target&&\"_self\"!=this.target)return!0;const a={skipLocationChange:rn(this.skipLocationChange),replaceUrl:rn(this.replaceUrl),state:this.state};return this.router.navigateByUrl(this.urlTree,a),!1}updateTargetUrlAndHref(){this.href=this.locationStrategy.prepareExternalUrl(this.router.serializeUrl(this.urlTree))}get urlTree(){return this.router.createUrlTree(this.commands,{relativeTo:this.route,queryParams:this.queryParams,fragment:this.fragment,queryParamsHandling:this.queryParamsHandling,preserveFragment:rn(this.preserveFragment)})}}return t.\\u0275fac=function(e){return new(e||t)(i.Xb(tn),i.Xb(Nt),i.Xb(r.k))},t.\\u0275dir=i.Sb({type:t,selectors:[[\"a\",\"routerLink\",\"\"],[\"area\",\"routerLink\",\"\"]],hostVars:2,hostBindings:function(t,e){1&t&&i.lc(\"click\",(function(t){return e.onClick(t.button,t.ctrlKey,t.shiftKey,t.altKey,t.metaKey)})),2&t&&(i.gc(\"href\",e.href,i.Fc),i.Mb(\"target\",e.target))},inputs:{routerLink:\"routerLink\",target:\"target\",queryParams:\"queryParams\",fragment:\"fragment\",queryParamsHandling:\"queryParamsHandling\",preserveFragment:\"preserveFragment\",skipLocationChange:\"skipLocationChange\",replaceUrl:\"replaceUrl\",state:\"state\"},features:[i.Jb]}),t})();function rn(t){return\"\"===t||!!t}let an=(()=>{class t{constructor(t,e,n,r,i,a){this.router=t,this.element=e,this.renderer=n,this.cdr=r,this.link=i,this.linkWithHref=a,this.classes=[],this.isActive=!1,this.routerLinkActiveOptions={exact:!1},this.routerEventsSubscription=t.events.subscribe(t=>{t instanceof B&&this.update()})}ngAfterContentInit(){Object(o.a)(this.links.changes,this.linksWithHrefs.changes,Object(o.a)(null)).pipe(Object(j.a)()).subscribe(t=>{this.update(),this.subscribeToEachLinkOnChanges()})}subscribeToEachLinkOnChanges(){var t;null===(t=this.linkInputChangesSubscription)||void 0===t||t.unsubscribe();const e=[...this.links.toArray(),...this.linksWithHrefs.toArray(),this.link,this.linkWithHref].filter(t=>!!t).map(t=>t.onChanges);this.linkInputChangesSubscription=Object(a.a)(e).pipe(Object(j.a)()).subscribe(t=>{this.isActive!==this.isLinkActive(this.router)(t)&&this.update()})}set routerLinkActive(t){const e=Array.isArray(t)?t:t.split(\" \");this.classes=e.filter(t=>!!t)}ngOnChanges(t){this.update()}ngOnDestroy(){var t;this.routerEventsSubscription.unsubscribe(),null===(t=this.linkInputChangesSubscription)||void 0===t||t.unsubscribe()}update(){this.links&&this.linksWithHrefs&&this.router.navigated&&Promise.resolve().then(()=>{const t=this.hasActiveLinks();this.isActive!==t&&(this.isActive=t,this.cdr.markForCheck(),this.classes.forEach(e=>{t?this.renderer.addClass(this.element.nativeElement,e):this.renderer.removeClass(this.element.nativeElement,e)}))})}isLinkActive(t){return e=>t.isActive(e.urlTree,this.routerLinkActiveOptions.exact)}hasActiveLinks(){const t=this.isLinkActive(this.router);return this.link&&t(this.link)||this.linkWithHref&&t(this.linkWithHref)||this.links.some(t)||this.linksWithHrefs.some(t)}}return t.\\u0275fac=function(e){return new(e||t)(i.Xb(tn),i.Xb(i.p),i.Xb(i.O),i.Xb(i.j),i.Xb(en,8),i.Xb(nn,8))},t.\\u0275dir=i.Sb({type:t,selectors:[[\"\",\"routerLinkActive\",\"\"]],contentQueries:function(t,e,n){if(1&t&&(i.Qb(n,en,!0),i.Qb(n,nn,!0)),2&t){let t;i.Ac(t=i.mc())&&(e.links=t),i.Ac(t=i.mc())&&(e.linksWithHrefs=t)}},inputs:{routerLinkActiveOptions:\"routerLinkActiveOptions\",routerLinkActive:\"routerLinkActive\"},exportAs:[\"routerLinkActive\"],features:[i.Jb]}),t})(),on=(()=>{class t{constructor(t,e,n,r,a){this.parentContexts=t,this.location=e,this.resolver=n,this.changeDetector=a,this.activated=null,this._activatedRoute=null,this.activateEvents=new i.s,this.deactivateEvents=new i.s,this.name=r||et,t.onChildOutletCreated(this.name,this)}ngOnDestroy(){this.parentContexts.onChildOutletDestroyed(this.name)}ngOnInit(){if(!this.activated){const t=this.parentContexts.getContext(this.name);t&&t.route&&(t.attachRef?this.attach(t.attachRef,t.route):this.activateWith(t.route,t.resolver||null))}}get isActivated(){return!!this.activated}get component(){if(!this.activated)throw new Error(\"Outlet is not activated\");return this.activated.instance}get activatedRoute(){if(!this.activated)throw new Error(\"Outlet is not activated\");return this._activatedRoute}get activatedRouteData(){return this._activatedRoute?this._activatedRoute.snapshot.data:{}}detach(){if(!this.activated)throw new Error(\"Outlet is not activated\");this.location.detach();const t=this.activated;return this.activated=null,this._activatedRoute=null,t}attach(t,e){this.activated=t,this._activatedRoute=e,this.location.insert(t.hostView)}deactivate(){if(this.activated){const t=this.component;this.activated.destroy(),this.activated=null,this._activatedRoute=null,this.deactivateEvents.emit(t)}}activateWith(t,e){if(this.isActivated)throw new Error(\"Cannot activate an already activated outlet\");this._activatedRoute=t;const n=(e=e||this.resolver).resolveComponentFactory(t._futureSnapshot.routeConfig.component),r=this.parentContexts.getOrCreateContext(this.name).children,i=new sn(t,r,this.location.injector);this.activated=this.location.createComponent(n,this.location.length,i),this.changeDetector.markForCheck(),this.activateEvents.emit(this.activated.instance)}}return t.\\u0275fac=function(e){return new(e||t)(i.Xb(Ze),i.Xb(i.Z),i.Xb(i.m),i.ic(\"name\"),i.Xb(i.j))},t.\\u0275dir=i.Sb({type:t,selectors:[[\"router-outlet\"]],outputs:{activateEvents:\"activate\",deactivateEvents:\"deactivate\"},exportAs:[\"outlet\"]}),t})();class sn{constructor(t,e,n){this.route=t,this.childContexts=e,this.parent=n}get(t,e){return t===Nt?this.route:t===Ze?this.childContexts:this.parent.get(t,e)}}class ln{}class cn{preload(t,e){return Object(o.a)(null)}}let un=(()=>{class t{constructor(t,e,n,r,i){this.router=t,this.injector=r,this.preloadingStrategy=i,this.loader=new Ge(e,n,e=>t.triggerEvent(new X(e)),e=>t.triggerEvent(new Z(e)))}setUpPreloading(){this.subscription=this.router.events.pipe(Object(k.a)(t=>t instanceof B),Object(T.a)(()=>this.preload())).subscribe(()=>{})}preload(){const t=this.injector.get(i.F);return this.processRoutes(t,this.router.config)}ngOnDestroy(){this.subscription&&this.subscription.unsubscribe()}processRoutes(t,e){const n=[];for(const r of e)if(r.loadChildren&&!r.canLoad&&r._loadedConfig){const t=r._loadedConfig;n.push(this.processRoutes(t.module,t.routes))}else r.loadChildren&&!r.canLoad?n.push(this.preloadConfig(t,r)):r.children&&n.push(this.processRoutes(t,r.children));return Object(a.a)(n).pipe(Object(j.a)(),Object(m.a)(t=>{}))}preloadConfig(t,e){return this.preloadingStrategy.preload(e,()=>this.loader.load(t.injector,e).pipe(Object(P.a)(t=>(e._loadedConfig=t,this.processRoutes(t.module,t.routes)))))}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(tn),i.hc(i.E),i.hc(i.k),i.hc(i.x),i.hc(ln))},t.\\u0275prov=i.Tb({token:t,factory:t.\\u0275fac}),t})(),hn=(()=>{class t{constructor(t,e,n={}){this.router=t,this.viewportScroller=e,this.options=n,this.lastId=0,this.lastSource=\"imperative\",this.restoredId=0,this.store={},n.scrollPositionRestoration=n.scrollPositionRestoration||\"disabled\",n.anchorScrolling=n.anchorScrolling||\"disabled\"}init(){\"disabled\"!==this.options.scrollPositionRestoration&&this.viewportScroller.setHistoryScrollRestoration(\"manual\"),this.routerEventsSubscription=this.createScrollEvents(),this.scrollEventsSubscription=this.consumeScrollEvents()}createScrollEvents(){return this.router.events.subscribe(t=>{t instanceof N?(this.store[this.lastId]=this.viewportScroller.getScrollPosition(),this.lastSource=t.navigationTrigger,this.restoredId=t.restoredState?t.restoredState.navigationId:0):t instanceof B&&(this.lastId=t.id,this.scheduleScrollEvent(t,this.router.parseUrl(t.urlAfterRedirects).fragment))})}consumeScrollEvents(){return this.router.events.subscribe(t=>{t instanceof tt&&(t.position?\"top\"===this.options.scrollPositionRestoration?this.viewportScroller.scrollToPosition([0,0]):\"enabled\"===this.options.scrollPositionRestoration&&this.viewportScroller.scrollToPosition(t.position):t.anchor&&\"enabled\"===this.options.anchorScrolling?this.viewportScroller.scrollToAnchor(t.anchor):\"disabled\"!==this.options.scrollPositionRestoration&&this.viewportScroller.scrollToPosition([0,0]))})}scheduleScrollEvent(t,e){this.router.triggerEvent(new tt(t,\"popstate\"===this.lastSource?this.store[this.restoredId]:null,e))}ngOnDestroy(){this.routerEventsSubscription&&this.routerEventsSubscription.unsubscribe(),this.scrollEventsSubscription&&this.scrollEventsSubscription.unsubscribe()}}return t.\\u0275fac=function(e){return new(e||t)(i.hc(tn),i.hc(r.x),i.hc(void 0))},t.\\u0275prov=i.Tb({token:t,factory:t.\\u0275fac}),t})();const dn=new i.w(\"ROUTER_CONFIGURATION\"),fn=new i.w(\"ROUTER_FORROOT_GUARD\"),pn=[r.j,{provide:yt,useClass:vt},{provide:tn,useFactory:function(t,e,n,i,a,o,s,l={},c,u){const h=new tn(null,t,e,n,i,a,o,lt(s));if(c&&(h.urlHandlingStrategy=c),u&&(h.routeReuseStrategy=u),function(t,e){t.errorHandler&&(e.errorHandler=t.errorHandler),t.malformedUriErrorHandler&&(e.malformedUriErrorHandler=t.malformedUriErrorHandler),t.onSameUrlNavigation&&(e.onSameUrlNavigation=t.onSameUrlNavigation),t.paramsInheritanceStrategy&&(e.paramsInheritanceStrategy=t.paramsInheritanceStrategy),t.relativeLinkResolution&&(e.relativeLinkResolution=t.relativeLinkResolution),t.urlUpdateStrategy&&(e.urlUpdateStrategy=t.urlUpdateStrategy)}(l,h),l.enableTracing){const t=Object(r.C)();h.events.subscribe(e=>{t.logGroup(\"Router Event: \"+e.constructor.name),t.log(e.toString()),t.log(e),t.logGroupEnd()})}return h},deps:[yt,Ze,r.j,i.x,i.E,i.k,qe,dn,[class{},new i.I],[class{},new i.I]]},Ze,{provide:Nt,useFactory:function(t){return t.routerState.root},deps:[tn]},{provide:i.E,useClass:i.U},un,cn,class{preload(t,e){return e().pipe(Object(M.a)(()=>Object(o.a)(null)))}},{provide:dn,useValue:{enableTracing:!1}}];function mn(){return new i.G(\"Router\",tn)}let gn=(()=>{class t{constructor(t,e){}static forRoot(e,n){return{ngModule:t,providers:[pn,bn(e),{provide:fn,useFactory:_n,deps:[[tn,new i.I,new i.T]]},{provide:dn,useValue:n||{}},{provide:r.k,useFactory:vn,deps:[r.v,[new i.u(r.a),new i.I],dn]},{provide:hn,useFactory:yn,deps:[tn,r.x,dn]},{provide:ln,useExisting:n&&n.preloadingStrategy?n.preloadingStrategy:cn},{provide:i.G,multi:!0,useFactory:mn},[xn,{provide:i.d,multi:!0,useFactory:wn,deps:[xn]},{provide:Mn,useFactory:kn,deps:[xn]},{provide:i.b,multi:!0,useExisting:Mn}]]}}static forChild(e){return{ngModule:t,providers:[bn(e)]}}}return t.\\u0275mod=i.Vb({type:t}),t.\\u0275inj=i.Ub({factory:function(e){return new(e||t)(i.hc(fn,8),i.hc(tn,8))}}),t})();function yn(t,e,n){return n.scrollOffset&&e.setOffset(n.scrollOffset),new hn(t,e,n)}function vn(t,e,n={}){return n.useHash?new r.g(t,e):new r.u(t,e)}function 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  },
  {
    "path": "src/aup/dashboard/frontend/karma.conf.js",
    "content": "// Karma configuration file, see link for more information\n// https://karma-runner.github.io/1.0/config/configuration-file.html\n\nmodule.exports = function (config) {\n  config.set({\n    basePath: '',\n    frameworks: ['jasmine', '@angular-devkit/build-angular'],\n    plugins: [\n      require('karma-jasmine'),\n      require('karma-chrome-launcher'),\n      require('karma-jasmine-html-reporter'),\n      require('karma-coverage-istanbul-reporter'),\n      require('@angular-devkit/build-angular/plugins/karma')\n    ],\n    client: {\n      clearContext: false // leave Jasmine Spec Runner output visible in browser\n    },\n    coverageIstanbulReporter: {\n      dir: require('path').join(__dirname, './coverage/auptimizer-dashboard'),\n      reports: ['html', 'lcovonly', 'text-summary'],\n      fixWebpackSourcePaths: true\n    },\n    reporters: ['progress', 'kjhtml'],\n    port: 9876,\n    colors: true,\n    logLevel: config.LOG_INFO,\n    autoWatch: true,\n    browsers: ['Chrome'],\n    singleRun: false,\n    restartOnFileChange: true\n  });\n};\n"
  },
  {
    "path": "src/aup/dashboard/frontend/package.json",
    "content": "{\n  \"name\": \"auptimizer-dashboard\",\n  \"version\": \"2.0.0\",\n  \"author\": \"LG Electronics Inc.\",\n  \"copyright.owner\": \"LG Electronics Inc.\",\n  \"license\": \"GPL-3.0-or-later\",\n  \"scripts\": {\n    \"ng\": \"ng\",\n    \"start\": \"ng serve\",\n    \"start:dev\": \"ng serve --port=4222 --o\",\n    \"build\": \"ng build\",\n    \"build:prod\": \"ng build --prod --aot --output-hashing=all\",\n    \"test\": \"ng test\",\n    \"lint\": \"ng lint\",\n    \"e2e\": \"ng e2e\"\n  },\n  \"private\": true,\n  \"dependencies\": {\n    \"@angular/animations\": \"~11.0.9\",\n    \"@angular/cdk\": \"^11.0.4\",\n    \"@angular/common\": \"~11.0.9\",\n    \"@angular/compiler\": \"~11.0.9\",\n    \"@angular/core\": \"~11.0.9\",\n    \"@angular/flex-layout\": \"^11.0.0-beta.33\",\n    \"@angular/forms\": \"~11.0.9\",\n    \"@angular/material\": \"^11.0.4\",\n    \"@angular/platform-browser\": \"~11.0.9\",\n    \"@angular/platform-browser-dynamic\": \"~11.0.9\",\n    \"@angular/router\": \"~11.0.9\",\n    \"@ngxs/devtools-plugin\": \"^3.7.1\",\n    \"@ngxs/logger-plugin\": \"^3.7.1\",\n    \"@ngxs/router-plugin\": \"^3.7.1\",\n    \"@ngxs/storage-plugin\": \"^3.7.1\",\n    \"@ngxs/store\": \"^3.7.1\",\n    \"angular-plotly.js\": \"^3.0.0\",\n    \"eslint-config-prettier\": \"^7.1.0\",\n    \"eslint-plugin-prettier\": \"^3.3.1\",\n    \"jsoneditor\": \"^9.1.8\",\n    \"mat-table-exporter\": \"^9.1.0\",\n    \"moment\": \"^2.29.1\",\n    \"ngx-pagination\": \"^5.0.0\",\n    \"plotly.js\": \"^1.58.4\",\n    \"rxjs\": \"~6.6.3\",\n    \"tslib\": \"^2.1.0\",\n    \"zone.js\": \"~0.11.3\"\n  },\n  \"devDependencies\": {\n    \"@angular-builders/custom-webpack\": \"10.0.1\",\n    \"@angular-devkit/build-angular\": \"~0.1100.7\",\n    \"@angular-eslint/builder\": \"1.0.0\",\n    \"@angular-eslint/eslint-plugin\": \"1.0.0\",\n    \"@angular-eslint/eslint-plugin-template\": \"1.0.0\",\n    \"@angular-eslint/schematics\": \"1.0.0\",\n    \"@angular-eslint/template-parser\": \"1.0.0\",\n    \"@angular/cli\": \"~11.0.7\",\n    \"@angular/compiler-cli\": \"~11.0.9\",\n    \"@types/jasmine\": \"~3.6.2\",\n    \"@types/jasminewd2\": \"~2.0.8\",\n    \"@types/node\": \"^14.14.21\",\n    \"@typescript-eslint/eslint-plugin\": \"4.3.0\",\n    \"@typescript-eslint/parser\": \"^4.3.0\",\n    \"codelyzer\": \"^6.0.1\",\n    \"eslint\": \"^7.6.0\",\n    \"eslint-import-resolver-typescript\": \"^2.3.0\",\n    \"eslint-plugin-import\": \"^2.22.1\",\n    \"eslint-plugin-jsdoc\": \"30.7.6\",\n    \"eslint-plugin-prefer-arrow\": \"1.2.2\",\n    \"eslint-plugin-react\": \"^7.22.0\",\n    \"jasmine-core\": \"~3.6.0\",\n    \"jasmine-spec-reporter\": \"~6.0.0\",\n    \"karma\": \"^5.2.0\",\n    \"karma-chrome-launcher\": \"~3.1.0\",\n    \"karma-coverage-istanbul-reporter\": \"~3.0.3\",\n    \"karma-jasmine\": \"~4.0.1\",\n    \"karma-jasmine-html-reporter\": \"^1.5.4\",\n    \"postcss-import\": \"^12.0.1\",\n    \"postcss-loader\": \"^3.0.0\",\n    \"postcss-scss\": \"^2.1.1\",\n    \"prettier\": \"^2.2.1\",\n    \"pretty-quick\": \"^3.1.0\",\n    \"protractor\": \"~7.0.0\",\n    \"tailwindcss\": \"^1.4.6\",\n    \"ts-node\": \"~9.1.1\",\n    \"typescript\": \"~4.0.2\"\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/_redirects",
    "content": "/*    /index.html    200\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/@core/app-load.service.ts",
    "content": "import { Injectable } from '@angular/core';\nimport { Store } from '@ngxs/store';\nimport { SetTheme, GetDatabaseLink } from '../appStore/app.actions';\nimport { ColorSchemeService } from '../shared/services/color-scheme.service';\nimport { CUSTOM_ICONS } from '../models/data/custom-icons.data';\nimport { MatIconRegistry } from '@angular/material/icon';\nimport { DomSanitizer } from '@angular/platform-browser';\n\n@Injectable()\nexport class AppLoadService {\n  constructor(\n    private store: Store,\n    public colorSchemeService: ColorSchemeService,\n    readonly matIconRegistry: MatIconRegistry,\n    readonly domSanitizer: DomSanitizer\n  ) {\n    CUSTOM_ICONS.map((icon) => {\n      this.matIconRegistry.addSvgIcon(icon.name, this.domSanitizer.bypassSecurityTrustResourceUrl(icon.path));\n    });\n  }\n\n  initializeApplication(): void {\n    this.store.dispatch(new GetDatabaseLink());\n    this.setTheme();\n  }\n\n  setTheme(): void {\n    this.colorSchemeService.load();\n    this.store.dispatch(new SetTheme());\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/@core/core.module.ts",
    "content": "/* eslint-disable prefer-arrow/prefer-arrow-functions */\nimport { NgModule, APP_INITIALIZER } from '@angular/core';\n\nimport { HttpClientModule } from '@angular/common/http';\nimport { AppLoadService } from './app-load.service';\nimport { ColorSchemeService } from '../shared/services/color-scheme.service';\n\nexport function initializeApplication(appLoadService: AppLoadService) {\n  // eslint-disable-next-line @typescript-eslint/explicit-module-boundary-types\n  return () => appLoadService.initializeApplication();\n}\n// we can add more initializers in the future. As long as they dont depend\n// each other we can add new provider and make them run in parallel\n@NgModule({\n  imports: [HttpClientModule],\n  providers: [\n    AppLoadService,\n    ColorSchemeService,\n    { provide: APP_INITIALIZER, useFactory: initializeApplication, deps: [AppLoadService], multi: true },\n  ],\n})\nexport class CoreModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/app-routing.module.ts",
    "content": "import { NgModule } from '@angular/core';\nimport { Routes, RouterModule } from '@angular/router';\nimport { PageNotFoundComponent } from './page-not-found/page-not-found.component';\n\nconst routes: Routes = [\n  { path: '', loadChildren: () => import('./main/main.module').then((m) => m.MainModule) },\n  { path: '**', component: PageNotFoundComponent },\n];\n\n@NgModule({\n  imports: [RouterModule.forRoot(routes, { useHash: true, relativeLinkResolution: 'legacy' })],\n  exports: [RouterModule],\n})\nexport class AppRoutingModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/app.component.html",
    "content": "<router-outlet></router-outlet>\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/app.component.scss",
    "content": ""
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/app.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { TestBed } from '@angular/core/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { AppComponent } from './app.component';\nimport { RouterTestingModule } from '@angular/router/testing';\n\ndescribe('AppComponent', () => {\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule],\n      declarations: [AppComponent],\n    }).compileComponents();\n  });\n\n  it('should create the app', () => {\n    const fixture = TestBed.createComponent(AppComponent);\n    const app = fixture.componentInstance;\n    expect(app).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/app.component.ts",
    "content": "import { Component } from '@angular/core';\nimport { Store } from '@ngxs/store';\nimport { GetNotifications } from './appStore/app.actions';\n\n@Component({\n  selector: 'app-root',\n  templateUrl: './app.component.html',\n})\nexport class AppComponent {\n  title = 'Auptimizer-Dashboard';\n\n  constructor(private store: Store) {\n    this.store.dispatch(new GetNotifications());\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/app.module.ts",
    "content": "import { BrowserModule } from '@angular/platform-browser';\nimport { NgModule } from '@angular/core';\nimport { AppRoutingModule } from './app-routing.module';\nimport { AppComponent } from './app.component';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { SharedModule } from './shared/shared.module';\nimport { AppState } from './appStore/app.store';\nimport { NgxsModule } from '@ngxs/store';\nimport { NgxsRouterPluginModule } from '@ngxs/router-plugin';\nimport { NgxsReduxDevtoolsPluginModule } from '@ngxs/devtools-plugin';\nimport { NgxsLoggerPluginModule } from '@ngxs/logger-plugin';\nimport { environment } from '../environments/environment';\nimport { ColorSchemeService } from './shared/services/color-scheme.service';\nimport { CoreModule } from './@core/core.module';\nimport { DBGuard } from './guards/db.guard';\nimport { PageNotFoundComponent } from './page-not-found/page-not-found.component';\nimport { NgxsStoragePluginModule } from '@ngxs/storage-plugin';\n@NgModule({\n  declarations: [AppComponent, PageNotFoundComponent],\n  imports: [\n    BrowserModule,\n    CoreModule,\n    BrowserAnimationsModule,\n    AppRoutingModule,\n    SharedModule,\n    NgxsModule.forRoot([AppState]),\n    NgxsRouterPluginModule.forRoot(),\n    NgxsReduxDevtoolsPluginModule.forRoot({ name: 'App Store' }),\n    NgxsStoragePluginModule.forRoot({\n      key: ['app.dbUrl'],\n    }),\n    environment.production ? [] : NgxsLoggerPluginModule.forRoot(),\n  ],\n  providers: [ColorSchemeService, DBGuard],\n  bootstrap: [AppComponent],\n})\nexport class AppModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/app.service.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\nimport { Injectable } from '@angular/core';\nimport { ApiService } from './shared/services/api.service';\n\n@Injectable({ providedIn: 'root' })\nexport class AppService {\n  constructor(private apiService: ApiService) {}\n\n  getDatabaseLink(): any {\n    return this.apiService.get<string>(`current_db`);\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/appStore/app-state.model.ts",
    "content": "import { NOTIFICATION_TYPE } from '../models/enum/notification-type.enum';\n\nexport interface AppStateModel {\n  theme: Theme;\n  themes: Theme[];\n  dbUrl: string;\n  notifications: AppNotification[];\n  notificationExpiration: number; // Seconds\n}\n\nexport interface Theme {\n  name: string;\n  icon: string;\n}\n\nexport interface AppNotification {\n  receivedAt: number;\n  type: NOTIFICATION_TYPE;\n  message: string;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/appStore/app.actions.ts",
    "content": "import { Theme } from './app-state.model';\nimport { AppNotification } from './app-state.model';\n\nexport class SetTheme {\n  static readonly type = '[Theme] Set theme';\n}\n\nexport class ChangeTheme {\n  static readonly type = '[Theme] Change theme';\n  constructor(public payload: Theme) {}\n}\n\nexport class GetDatabaseLink {\n  static readonly type = '[Database] Get database link';\n}\n\nexport class AddNotification {\n  static readonly type = '[Notifications] Add notification';\n  constructor(public payload: AppNotification) {}\n}\n\nexport class RemoveNotification {\n  static readonly type = '[Notifications] Remove notification';\n  constructor(public payload: AppNotification) {}\n}\n\nexport class GetNotifications {\n  static readonly type = '[Notifications] Get notifications';\n}\n\nexport class RemoveAllNotifications {\n  static readonly type = '[Notifications] Remove notifications';\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/appStore/app.store.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-unsafe-return */\nimport { State, Selector, Action, StateContext } from '@ngxs/store';\nimport { Injectable } from '@angular/core';\nimport { AppStateModel, Theme } from './app-state.model';\nimport {\n  SetTheme,\n  ChangeTheme,\n  GetDatabaseLink,\n  AddNotification,\n  RemoveNotification,\n  RemoveAllNotifications,\n  GetNotifications,\n} from './app.actions';\nimport { ColorSchemeService } from '../shared/services/color-scheme.service';\nimport { AppService } from '../app.service';\nimport { catchError, map } from 'rxjs/operators';\nimport { HttpErrorResponse } from '@angular/common/http';\nimport { throwError } from 'rxjs';\nimport { SnackbarService, UtilsService } from '../shared/services';\nimport { AppNotification } from './app-state.model';\nimport { THEME_OPTION } from '../models/enum/theme-option.enum';\n\n@State<AppStateModel>({\n  name: 'app',\n  defaults: {\n    theme: null,\n    themes: [\n      {\n        name: THEME_OPTION.DARK,\n        icon: 'brightness_3',\n      },\n      {\n        name: THEME_OPTION.LIGHT,\n        icon: 'wb_sunny',\n      },\n    ],\n    dbUrl: null,\n    notifications: [],\n    notificationExpiration: 86400, // 1 day in seconds\n  },\n})\n@Injectable()\nexport class AppState {\n  @Selector()\n  static theme(state: AppStateModel): Theme {\n    return state.theme;\n  }\n  @Selector()\n  static dbUrl(state: AppStateModel): string {\n    return state.dbUrl;\n  }\n  @Selector()\n  static isDbUrl(state: AppStateModel): boolean {\n    return !!state.dbUrl;\n  }\n  @Selector()\n  static themes(state: AppStateModel): Theme[] {\n    return state.themes;\n  }\n  @Selector()\n  static notifications(state: AppStateModel): AppNotification[] {\n    return state.notifications;\n  }\n\n  constructor(\n    public colorSchemeService: ColorSchemeService,\n    private appService: AppService,\n    private snackbarService: SnackbarService,\n    readonly utilsService: UtilsService\n  ) {}\n\n  @Action(SetTheme)\n  setTheme(ctx: StateContext<AppStateModel>): void {\n    const state = ctx.getState();\n    const localTheme = this.colorSchemeService.currentActive();\n    const currentTheme = state.themes.filter((theme) => theme.name === localTheme)[0];\n    ctx.setState({\n      ...state,\n      theme: currentTheme,\n    });\n  }\n\n  @Action(ChangeTheme)\n  changeTheme(ctx: StateContext<AppStateModel>, { payload }: ChangeTheme): void {\n    const state = ctx.getState();\n    const currentTheme = payload;\n    ctx.setState({\n      ...state,\n      theme: currentTheme,\n    });\n    return this.colorSchemeService.update(payload.name);\n  }\n\n  @Action(AddNotification)\n  addNotifications(ctx: StateContext<AppStateModel>, { payload }: AddNotification): void {\n    const state = ctx.getState();\n    if (!payload) {\n      return;\n    }\n    const notifications = state.notifications.slice();\n    const index = notifications.indexOf(payload);\n    if (index === -1) {\n      notifications.push(payload);\n    }\n    ctx.patchState({ notifications });\n    localStorage.setItem('notifications', JSON.stringify(notifications));\n    return;\n  }\n\n  @Action(RemoveNotification)\n  removeNotifications(ctx: StateContext<AppStateModel>, { payload }: RemoveNotification): void {\n    const state = ctx.getState();\n    if (!payload) {\n      return;\n    }\n    const notifications = state.notifications.slice();\n    const index = notifications.indexOf(payload);\n    notifications.splice(index, 1);\n    ctx.patchState({ notifications });\n    localStorage.setItem('notifications', JSON.stringify(notifications));\n    return;\n  }\n\n  @Action(RemoveAllNotifications)\n  removeAllNotifications(ctx: StateContext<AppStateModel>): void {\n    const notifications = [];\n    ctx.patchState({ notifications });\n    localStorage.setItem('notifications', JSON.stringify(notifications));\n    return;\n  }\n\n  @Action(GetNotifications)\n  getNotifications(ctx: StateContext<AppStateModel>): void {\n    const allNotifications = (JSON.parse(localStorage.getItem('notifications')) as AppNotification[]) || [];\n    const expiry = ctx.getState().notificationExpiration;\n    const now = new Date().getTime();\n    const notifications = allNotifications.filter((notification: AppNotification) => {\n      const difference = (now - notification.receivedAt) / 1000;\n      if (expiry > difference) {\n        return notification;\n      }\n    });\n    ctx.patchState({\n      notifications,\n    });\n    localStorage.setItem('notifications', JSON.stringify(notifications));\n    return;\n  }\n\n  @Action(GetDatabaseLink)\n  getDatabaseLink(ctx: StateContext<AppStateModel>): void {\n    return this.appService.getDatabaseLink().pipe(\n      catchError((err: HttpErrorResponse) => {\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      }),\n      map((res: any) => {\n        if (res && res['db_path']) {\n          ctx.patchState({\n            dbUrl: res['db_path'] as string,\n          });\n          return;\n        }\n      })\n    );\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/guards/db.guard.ts",
    "content": "/* eslint-disable @typescript-eslint/unbound-method */\nimport { Injectable, NgZone } from '@angular/core';\nimport { Router, CanActivate } from '@angular/router';\nimport { Store } from '@ngxs/store';\nimport { AppState } from '../appStore/app.store';\nimport { Navigate } from '@ngxs/router-plugin';\n\n@Injectable()\nexport class DBGuard implements CanActivate {\n  constructor(readonly ngZone: NgZone, readonly store: Store, readonly router: Router) {}\n\n  canActivate(): boolean {\n    const isDbUrl = this.store.selectSnapshot(AppState.isDbUrl);\n    if (!isDbUrl) {\n      this.store.dispatch(new Navigate(['/initialize']));\n    }\n    return isDbUrl;\n  }\n\n  canLoad(): boolean {\n    const isDbUrl = this.store.selectSnapshot(AppState.isDbUrl);\n    if (!isDbUrl) {\n      this.store.dispatch(new Navigate(['/initialize']));\n    }\n    return isDbUrl;\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/containers/index.ts",
    "content": "import { MainComponent } from './main/main.component';\n\nexport const containers = [MainComponent];\n\nexport * from './main/main.component';\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/containers/main/main.component.html",
    "content": "<main>\n  <router-outlet></router-outlet>\n</main>\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/containers/main/main.component.scss",
    "content": ""
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/containers/main/main.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\n\nimport { MainComponent } from './main.component';\n\ndescribe('MainComponent', () => {\n  let component: MainComponent;\n  let fixture: ComponentFixture<MainComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule],\n      declarations: [MainComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(MainComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/containers/main/main.component.ts",
    "content": "import { Component } from '@angular/core';\n\n@Component({\n  selector: 'app-main',\n  templateUrl: './main.component.html',\n  styleUrls: ['./main.component.scss'],\n})\nexport class MainComponent {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/experiment-dropdown/experiment-dropdown.component.html",
    "content": "<div *ngIf=\"experiments$ | async as experiments\" class=\"w-full\">\n  <mat-form-field appearance=\"outline\" *ngIf=\"experiments && experiments.length > 0 && experimentIndex !== null\"\n    class=\"w-full\">\n    <mat-label>\n      Select experiment\n    </mat-label>\n    <mat-select (selectionChange)=\"selectedNewExperiment($event)\" [value]=\"experiments[experimentIndex].eid\">\n      <mat-option *ngFor=\"let experiment of experiments\" [value]=\"experiment.eid\">\n        {{ experiment.experimentName || experiment.scriptName }}\n      </mat-option>\n    </mat-select>\n  </mat-form-field>\n</div>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/experiment-dropdown/experiment-dropdown.component.scss",
    "content": "mat-select {\n  font-size: 18px;\n  padding-top: 10px;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/experiment-dropdown/experiment-dropdown.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { NgxsModule } from '@ngxs/store';\n\nimport { ExperimentDropdownComponent } from './experiment-dropdown.component';\n\ndescribe('ExperimentDropdownComponent', () => {\n  let component: ExperimentDropdownComponent;\n  let fixture: ComponentFixture<ExperimentDropdownComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot()],\n      declarations: [ExperimentDropdownComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(ExperimentDropdownComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/experiment-dropdown/experiment-dropdown.component.ts",
    "content": "/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, OnInit, ChangeDetectionStrategy, OnDestroy, Input, Output, EventEmitter } from '@angular/core';\nimport { Select, Store } from '@ngxs/store';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { Observable, Subscription } from 'rxjs';\nimport { Experiment } from '../../../../models/experiment.model';\nimport { MatSelectChange } from '@angular/material/select';\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-experiment-dropdown',\n  templateUrl: './experiment-dropdown.component.html',\n  styleUrls: ['./experiment-dropdown.component.scss'],\n})\nexport class ExperimentDropdownComponent implements OnInit, OnDestroy {\n  @Select(ExperimentState.experiments) experiments$: Observable<Experiment[]>;\n\n  @Input() experimentId: number;\n  @Output() toggleExperiment = new EventEmitter<number>();\n  experimentIndex: number;\n  subscription: Subscription;\n\n  constructor(readonly store: Store) {}\n\n  ngOnInit(): void {\n    this.subscription = new Subscription();\n    this.subscription.add(\n      this.experiments$.subscribe((experiments: Experiment[]) => {\n        if (experiments && experiments.length > 0 && this.experimentId) {\n          const foundIndex = experiments.findIndex((item) => {\n            return +item.eid === +this.experimentId;\n          });\n          if (foundIndex !== -1) {\n            this.experimentIndex = foundIndex;\n          }\n        }\n      })\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.subscription.unsubscribe();\n  }\n\n  selectedNewExperiment(event: MatSelectChange): void {\n    if (!event.value) {\n      return;\n    }\n    this.toggleExperiment.emit(event.value);\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/header/header.component.html",
    "content": "<mat-toolbar color=\"primary\" fxLayout=\"row\" fxLayoutAlign=\"space-between center\" class=\"header-font\">\n  <div fxLayout=\"row\" fxLayoutAlign=\"center center\">\n    <!-- <a *ngIf=\"currentTheme?.name\" routerLink=\"/\" class=\"logo-container\"\n      ><img [src]=\"'assets/images/Auptimizer-' + currentTheme.name + '.png'\"\n    /></a> -->\n    <a fxHide.lt-md *ngIf=\"currentTheme?.name\" routerLink=\"/\" class=\"logo-container\"><img\n        [src]=\"'assets/images/Auptimizer-dark.png'\" /></a>\n  </div>\n  <div fxLayout=\"row\" fxLayoutGap=\"40px\" fxLayoutGap.md=\"15px\" fxLayoutGap.lt-md=\"15px\" fxLayoutAlign=\"center center\">\n    <div fxLayout=\"row\" fxLayoutAlign=\"center center\">\n      <mat-form-field class=\"mt-5 refresh-interval-select\" appearance=\"outline\"\n        *ngIf=\"refreshIntervalOptions$ | async as refreshIntervalOptions\">\n        <mat-label>Refresh every</mat-label>\n        <mat-select (selectionChange)=\"changeRefreshInverval($event)\" [value]=\"refreshInterval$ | async\">\n          <mat-option *ngFor=\"let interval of refreshIntervalOptions\" [value]=\"interval\">{{ interval }} seconds\n          </mat-option>\n        </mat-select>\n      </mat-form-field>\n    </div>\n    <button mat-button (click)=\"onRefresh()\" class=\"header-font\">\n      <mat-icon class=\"mr-3\">cached</mat-icon>Refresh now\n    </button>\n    <button [disabled]=\"!notifications?.length\" mat-icon-button [matMenuTriggerFor]=\"notificationMenu\">\n      <mat-icon matBadgeColor=\"warn\" [matBadgeHidden]=\"!notifications?.length\" [matBadge]=\"notifications?.length\">\n        notifications</mat-icon>\n    </button>\n\n    <button *ngIf=\"currentTheme\" mat-button (click)=\"setTheme()\" class=\"header-font\">\n      <mat-icon class=\"mr-3\">{{ currentTheme.icon }}</mat-icon>{{ currentTheme.name | flu }} mode\n    </button>\n    <div fxLayoutAlign=\"center center\">\n      <span>Version:&nbsp;</span>\n      <span *ngIf=\"version\">v{{ version }}</span>\n    </div>\n  </div>\n</mat-toolbar>\n\n<mat-menu #notificationMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"notification-menu\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button>\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <app-notification (click)=\"$event.stopPropagation()\"></app-notification>\n</mat-menu>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/header/header.component.scss",
    "content": ":host {\n  .logo-container {\n    > img {\n      height: 35px;\n    }\n  }\n}\n\n::ng-deep .mat-menu-panel {\n  max-width: none !important;\n}\n\n::ng-deep .mat-menu-content:not(:empty) {\n  padding: 0 !important;\n}\n\n::ng-deep .mat-form-field-infix {\n  padding: 10px !important;\n}\n\n.notification-menu {\n  height: 50px;\n}\n\n.header-font {\n  font-size: 15px;\n}"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/header/header.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { FirstLetterUppercasePipe } from '../../../../shared/pipes';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { HeaderComponent } from './header.component';\n\ndescribe('HeaderComponent', () => {\n  let component: HeaderComponent;\n  let fixture: ComponentFixture<HeaderComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, SharedModule],\n      declarations: [HeaderComponent],\n      providers: [{ provide: FirstLetterUppercasePipe, useValue: {} }],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(HeaderComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/header/header.component.ts",
    "content": "/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, OnInit, OnDestroy, ChangeDetectionStrategy, ChangeDetectorRef } from '@angular/core';\nimport { environment } from '../../../../../environments/environment';\nimport { MatSelectChange } from '@angular/material/select';\nimport { Store, Select } from '@ngxs/store';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { Observable, Subscription } from 'rxjs';\nimport { SetRefreshInterval, RefreshInterval, ToggleSideNav } from '../../store/experiment.actions';\nimport { ColorSchemeService } from '../../../../shared/services/color-scheme.service';\nimport { AppState } from '../../../../appStore/app.store';\nimport { AppNotification, Theme } from '../../../../appStore/app-state.model';\nimport { ChangeTheme } from '../../../../appStore/app.actions';\nimport { HelperService } from '../../../../shared/services';\nimport { THEME_OPTION } from '../../../../models/enum/theme-option.enum';\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-header',\n  templateUrl: './header.component.html',\n  styleUrls: ['./header.component.scss'],\n})\nexport class HeaderComponent implements OnInit, OnDestroy {\n  @Select(AppState.themes) themes$: Observable<Theme[]>;\n  @Select(AppState.theme) theme$: Observable<Theme>;\n  @Select(AppState.notifications) notifications$: Observable<AppNotification[]>;\n  @Select(ExperimentState.refreshInterval) refreshInterval$: Observable<number>;\n  @Select(ExperimentState.refreshIntervalOptions) refreshIntervalOptions$: Observable<number[]>;\n  @Select(ExperimentState.sidenavOpen) sidenavOpen$: Observable<boolean>;\n\n  version: string;\n  subscriptions: Subscription;\n  notifications: AppNotification[];\n  THEME_OPTION = THEME_OPTION;\n\n  public themes;\n  currentTheme = {\n    name: null,\n    icon: null,\n  };\n\n  constructor(\n    readonly store: Store,\n    public colorSchemeService: ColorSchemeService,\n    public helperService: HelperService,\n    private cdRef: ChangeDetectorRef\n  ) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    this.version = environment.version;\n    this.subscriptions.add(\n      this.themes$.subscribe((themes: Theme[]) => {\n        this.themes = themes;\n      })\n    );\n    this.subscriptions.add(\n      this.theme$.subscribe((theme: Theme) => {\n        this.currentTheme = theme;\n      })\n    );\n    this.subscriptions.add(\n      this.notifications$.subscribe((notifications: AppNotification[]) => {\n        if (notifications) {\n          this.notifications = notifications;\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.theme$.subscribe((theme: Theme) => {\n        this.currentTheme = theme;\n      })\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n  }\n\n  changeRefreshInverval(event: MatSelectChange): void {\n    if (!event.value) {\n      return;\n    }\n    this.store.dispatch(new SetRefreshInterval(event.value));\n  }\n\n  onRefresh(): void {\n    this.store.dispatch(new RefreshInterval(true));\n  }\n\n  setTheme(): void {\n    if (this.themes && this.themes.length) {\n      if (this.currentTheme === this.themes[0]) {\n        this.currentTheme = this.themes[1];\n      } else {\n        this.currentTheme = this.themes[0];\n      }\n      this.store.dispatch(new ChangeTheme(this.currentTheme));\n    }\n  }\n\n  onToggleSideNav(): void {\n    this.store.dispatch(new ToggleSideNav());\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/index.ts",
    "content": "import { ExperimentDropdownComponent } from './experiment-dropdown/experiment-dropdown.component';\nimport { HeaderComponent } from './header/header.component';\nimport { SidenavComponent } from './sidenav/sidenav.component';\nimport { SidenavElementComponent } from './sidenav-element/sidenav-element.component';\n\nexport const components = [ExperimentDropdownComponent, HeaderComponent, SidenavComponent, SidenavElementComponent];\n\nexport * from './experiment-dropdown/experiment-dropdown.component';\nexport * from './header/header.component';\nexport * from './sidenav/sidenav.component';\nexport * from './sidenav-element/sidenav-element.component';\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/sidenav/sidenav.component.html",
    "content": "<mat-nav-list fxLayout=\"column\" fxLayoutAlign=\"space-between center\" class=\"h-full w-full\">\n  <div class=\"w-full\">\n    <app-sidenav-element [navItem]=\"listElement\"></app-sidenav-element>\n    <hr class=\"mx-5\" />\n    <app-sidenav-element *ngFor=\"let navItem of sideNavElements\" [navItem]=\"navItem\"></app-sidenav-element>\n  </div>\n  <div class=\"w-full close-menu-container\" fxLayout=\"row\" fxLayoutAlign=\"center center\">\n    <button (click)=\"onToggleSideNav()\" mat-raised-button class=\"w-full\">\n      <div *ngIf=\"(sidenavOpen$ | async) === true\" class=\"close-menu-item w-full py-2\" fxLayoutAlign=\"start center\">\n        <mat-icon class=\"mr-10\" fxLayout fxLayoutAlign=\"right center\">menu_open</mat-icon>\n        <span>Close menu</span>\n      </div>\n      <div *ngIf=\"(sidenavOpen$ | async) === false\" class=\"close-menu-item w-full py-2\" fxLayoutAlign=\"start center\">\n        <mat-icon>menu</mat-icon>\n      </div>\n    </button>\n  </div>\n</mat-nav-list>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/sidenav/sidenav.component.scss",
    "content": ".close-menu-item {\n  margin-right: 10px;\n  margin-left: 10px;\n  width: auto;\n}\n.close-menu-container > button{\n  height: 52px;\n}\n\n.hidden {\n  visibility: hidden;\n  width: 0;\n  transition: 0.5s;\n}\n\n.mat-list-base {\n  padding-top: 0 !important;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/sidenav/sidenav.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { NgxsModule } from '@ngxs/store';\n\nimport { SidenavComponent } from './sidenav.component';\n\ndescribe('SidenavComponent', () => {\n  let component: SidenavComponent;\n  let fixture: ComponentFixture<SidenavComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot()],\n      declarations: [SidenavComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(SidenavComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/sidenav/sidenav.component.ts",
    "content": "/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, Input } from '@angular/core';\nimport { Select, Store } from '@ngxs/store';\nimport { Observable } from 'rxjs';\nimport { NavItem } from '../../../../models/nav-items.model';\nimport { ToggleSideNav } from '../../store/experiment.actions';\nimport { ExperimentState } from '../../store/experiment.store';\n\n@Component({\n  selector: 'app-sidenav',\n  templateUrl: './sidenav.component.html',\n  styleUrls: ['./sidenav.component.scss'],\n})\nexport class SidenavComponent {\n  @Input() sideNavElements: NavItem[];\n  @Select(ExperimentState.sidenavOpen) sidenavOpen$: Observable<boolean>;\n\n  listElement: NavItem = {\n    displayName: 'Experiments',\n    route: '/list',\n    iconName: 'west',\n    tooltip: 'Experiment list',\n  };\n  constructor(readonly store: Store) {}\n\n  onToggleSideNav(): void {\n    this.store.dispatch(new ToggleSideNav());\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/sidenav-element/sidenav-element.component.html",
    "content": "<a *ngIf=\"navItem\" mat-list-item [ngStyle]=\"{ 'padding-left': depth * 12 + 'px' }\" (click)=\"onItemSelected(navItem)\"\n  [ngClass]=\"{ expanded: expanded }\" fxLayout fxLayoutAlign=\"left center\"\n  [routerLink]=\"navItem?.route !== '' ? navItem?.route : null\"\n  [routerLinkActive]=\"navItem?.route !== '' ? 'menu-list-item--active' : ''\" [routerLinkActiveOptions]=\"{ exact: true }\"\n  [disabled]=\"navItem.disabled\"\n  [matTooltip]=\"(sidenavOpen$ | async) === false ? navItem.tooltip : ''\" class=\"menu-list-item my-2 h-15\">\n  <mat-icon *ngIf=\"navItem.iconName\" class=\"mr-10\" fxLayout fxLayoutAlign=\"right center\">{{ navItem?.iconName }}\n  </mat-icon>\n  <span [ngClass]=\"(sidenavOpen$ | async) === false ? 'hidden' : ''\" *ngIf=\"navItem.displayName\">{{ navItem?.displayName }}</span>\n  <span fxFlex *ngIf=\"navItem?.children && navItem?.children.length\">\n    <span fxFlex></span>\n    <mat-icon [@indicatorRotate]=\"expanded ? 'expanded' : 'collapsed'\">\n      expand_more\n    </mat-icon>\n  </span>\n</a>\n<div *ngIf=\"expanded\">\n  <app-sidenav-element *ngFor=\"let child of navItem.children\" [navItem]=\"child\" [depth]=\"depth + 1\">\n  </app-sidenav-element>\n</div>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/sidenav-element/sidenav-element.component.scss",
    "content": ":host {\n  display: flex;\n  flex-direction: column;\n  outline: none;\n  width: 100%;\n\n  .menu-list-item {\n    margin-right: 10px;\n    margin-left: 10px;\n    width: auto;\n  }\n\n  ::ng-deep .mat-list-item-content {\n    width: 100%;\n  }\n\n  .hidden {\n    visibility: hidden;\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/sidenav-element/sidenav-element.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\n\nimport { SidenavElementComponent } from './sidenav-element.component';\n\ndescribe('SidenavElementComponent', () => {\n  let component: SidenavElementComponent;\n  let fixture: ComponentFixture<SidenavElementComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      declarations: [SidenavElementComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(SidenavElementComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/components/sidenav-element/sidenav-element.component.ts",
    "content": "/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, Input } from '@angular/core';\nimport { NavItem } from '../../../../models/nav-items.model';\nimport { trigger, state, style, transition, animate } from '@angular/animations';\nimport { Select } from '@ngxs/store';\nimport { Observable } from 'rxjs';\nimport { ExperimentState } from '../../store/experiment.store';\n\n@Component({\n  selector: 'app-sidenav-element',\n  templateUrl: './sidenav-element.component.html',\n  styleUrls: ['./sidenav-element.component.scss'],\n  animations: [\n    trigger('indicatorRotate', [\n      state('collapsed', style({ transform: 'rotate(0deg)' })),\n      state('expanded', style({ transform: 'rotate(180deg)' })),\n      transition('expanded <=> collapsed', animate('225ms cubic-bezier(0.4,0.0,0.2,1)')),\n    ]),\n  ],\n})\nexport class SidenavElementComponent {\n  @Select(ExperimentState.sidenavOpen) sidenavOpen$: Observable<boolean>;\n\n  @Input() navItem: NavItem;\n  @Input() depth = 0;\n\n  expanded = false;\n\n  onItemSelected(item: NavItem): void {\n    if (item.children && item.children.length) {\n      this.expanded = !this.expanded;\n    }\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/create-experiment/create-experiment.component.html",
    "content": "<form [formGroup]=\"createExperimentForm\" class=\"mt-3\">\n  <div fxLayout=\"row\" fxLayoutAlign=\"center center\" fxLayout.lt-lg=\"column\" fxLayoutGap=\"15px\" class=\"w-full px-3\">\n    <mat-form-field appearance=\"outline\" class=\"w-full\">\n      <mat-label>Current working directory</mat-label>\n      <input type=\"text\" matInput placeholder=\"Working directory\" formControlName=\"cwd\" />\n      <mat-error>Missing field</mat-error>\n    </mat-form-field>\n    <div fxLayout=\"row\" fxLayoutAlign=\"start center\" fxLayoutGap=\"15px\" class=\"mb-3\">\n      <!-- <button class=\"minw-150\" mat-raised-button color=\"primary\" type=\"button\" (click)=\"validateJSON('Tree')\"\n        matTooltip=\"Converts the left side data into json visible on the right side\">\n        {{ 'Convert JSON' | uppercase }}\n      </button> -->\n      <button class=\"minw-150\" mat-raised-button color=\"accent\" type=\"submit\"\n        [disabled]=\"!createExperimentForm.valid || jsonHasError\" (click)=\"onCreateExperiment()\">\n        {{ 'Create experiment' | uppercase }}\n      </button>\n      <button class=\"minw-100\" mat-raised-button type=\"button\" (click)=\"onCancel()\">\n        {{ 'Cancel' | uppercase }}\n      </button>\n    </div>\n  </div>\n\n  <div class=\"w-full px-3\" fxLayoutAlign=\"end center\">\n    <button type=\"button\" fxFlexAlign=\"end\" mat-raised-button [matMenuTriggerFor]=\"helpMenu\">\n      <mat-icon class=\"mr-3\">help_outline</mat-icon>\n      {{ 'interaction guide' | uppercase }}\n    </button>\n  </div>\n\n  <div fxLayout=\"row\" fxLayoutAlign=\"start center\" class=\"px-4\">\n    <h2 class=\"mat-title m-0 w-full\">JSON FILE</h2>\n    <h2 class=\"mat-title m-0 w-full\">VALIDATED JSON</h2>\n  </div>\n  <div class=\"wrapper\">\n    <div id=\"jsonEditorCode\" class=\"left\"></div>\n    <!-- <mat-checkbox class=\"json-option\" formControlName=\"autoConvert\"\n      matTooltip=\"Check this to convert the left side data into json visible on the right side\">\n      Validate JSON\n    </mat-checkbox> -->\n    <div id=\"jsonEditorTree\" class=\"right\"></div>\n  </div>\n</form>\n\n<mat-menu #helpMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"help-menu\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button>\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <mat-drawer-container class=\"help-content\" fxLayout=\"column\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"30px\">\n    <div fxLayout=\"column\" fxLayoutAlign=\"start center\" fxLayoutGap=\"30px\" class=\"p-5\">\n      <div class=\"w-full\">\n        There are two panels on this page:\n        <ul class=\"mt-3 ml-5 help-list\">\n          <li>Left panel: Here you can input your JSON file and modify it.</li>\n          <li>Right panel: Here displays the parsed JSON file. You can use it to validate if everything looks correct!\n          </li>\n        </ul>\n      </div>\n      <div class=\"w-full\">\n        How to:\n        <ul class=\"mt-3 ml-5 help-list\">\n          <li>Enter your working directory that saves your experiment json files and training script.</li>\n          <li>Input experiment configuration json in the left panel. Please follow the\n            <a href=\"https://lge-arc-advancedai.github.io/auptimizer/algorithm.html\" target=\"_blank\">link</a> to prepare\n            the json file.</li>\n          <li>Make sure you have adapted your training script following the <a\n              href=\"https://lge-arc-advancedai.github.io/auptimizer/experiment.html#manual-modification-of-training-code\"\n              target=\"_blank\">link</a>.</li>\n          <li>Click on Create experiment to add this experiment to the database.</li>\n          <li>Click on Cancel to go back.</li>\n        </ul>\n      </div>\n    </div>\n  </mat-drawer-container>\n</mat-menu>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/create-experiment/create-experiment.component.scss",
    "content": ":host {\n  ::ng-deep .mat-checkbox-label {\n    color: white !important;\n  }\n}\n\n.wrapper {\n  width: calc(100vw - 16px);\n  height: calc(100vh - 64px - 80px - 80px - 50px);\n  display: flex;\n  padding: 8px;\n}\n\nmat-form-field {\n  font-size: 18px;\n}\n\n.minw-150 {\n  min-width: 150px;\n}\n\n.minw-100 {\n  min-width: 100px;\n}\n\n.headers-align .mat-expansion-panel-header-title,\n.headers-align .mat-expansion-panel-header-description {\n  flex-basis: 0;\n}\n\n.headers-align .mat-expansion-panel-header-description {\n  justify-content: space-between;\n  align-items: center;\n}\n\n.headers-align .mat-form-field + .mat-form-field {\n  margin-left: 8px;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/create-experiment/create-experiment.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { CreateExperimentComponent } from './create-experiment.component';\n\ndescribe('CreateExperimentComponent', () => {\n  let component: CreateExperimentComponent;\n  let fixture: ComponentFixture<CreateExperimentComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), BrowserAnimationsModule, RouterTestingModule, SharedModule],\n      declarations: [CreateExperimentComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(CreateExperimentComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/create-experiment/create-experiment.component.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/unbound-method */\n/* eslint-disable @typescript-eslint/no-explicit-any */\nimport { Component, OnInit, OnDestroy, ChangeDetectionStrategy, ChangeDetectorRef } from '@angular/core';\nimport * as JSONEditor from 'jsoneditor';\nimport * as exampleJSON from './exampleJSON';\nimport { Store, Select } from '@ngxs/store';\nimport { CreateExperiment, GetExperiment } from '../../store/experiment.actions';\nimport { FormGroup, FormBuilder, Validators } from '@angular/forms';\nimport { CreateExperimentModel, SelectedExperiment } from '../../store/experiment-state.model';\nimport { ActivatedRoute, Router } from '@angular/router';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { Observable, Subscription } from 'rxjs';\nimport { HelperService, SnackbarService } from '../../../../shared/services';\nimport { MatDialog, MatDialogRef } from '@angular/material/dialog';\nimport { ConfirmDialogComponent } from '../../../../shared/dialogs/confirm/confirm-dialog.component';\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-create-experiment',\n  templateUrl: './create-experiment.component.html',\n  styleUrls: ['./create-experiment.component.scss'],\n})\nexport class CreateExperimentComponent implements OnInit, OnDestroy {\n  options: any;\n  jsonEditorCode: any;\n  jsonEditorTree: any;\n  jsonCode: any;\n  experimentConfig;\n  createExperimentForm: FormGroup;\n  @Select(ExperimentState.selectedExperiment) selectedExperiment$: Observable<SelectedExperiment>;\n\n  experimentId: number;\n  subscriptions: Subscription;\n\n  showInteractionGuide = false;\n  jsonHasError = false;\n  autoConvert = true;\n  errMessage: string = null;\n  confirmDialogRef: MatDialogRef<ConfirmDialogComponent>;\n\n  constructor(\n    readonly store: Store,\n    public dialog: MatDialog,\n    private fb: FormBuilder,\n    readonly route: ActivatedRoute,\n    readonly router: Router,\n    public helperService: HelperService,\n    private cdRef: ChangeDetectorRef,\n    private snackbarService: SnackbarService\n  ) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    const id = this.route.snapshot.params.id;\n    this.initForm();\n    this.clear();\n    if (id) {\n      this.experimentId = id;\n      this.store.dispatch(new GetExperiment(this.experimentId));\n      this.subscriptions.add(\n        this.selectedExperiment$.subscribe((selectedExperiment: SelectedExperiment) => {\n          if (selectedExperiment && this.experimentId) {\n            this.clear();\n            const workingDir = selectedExperiment.experiment.expConfig['workingdir'];\n            const resource = selectedExperiment.experiment.expConfig['resource'];\n            const cwd = selectedExperiment.experiment.expConfig['cwd'];\n            this.createExperimentForm.patchValue({\n              cwd: cwd || workingDir,\n            });\n            if (workingDir && resource !== 'node') {\n              delete selectedExperiment.experiment.expConfig['workingdir'];\n            }\n            if (cwd) {\n              delete selectedExperiment.experiment.expConfig['cwd'];\n            }\n            this.experimentConfig = selectedExperiment.experiment.expConfig;\n            this.initEditor();\n            this.cdRef.markForCheck();\n          }\n        })\n      );\n    } else {\n      this.experimentConfig = exampleJSON.example;\n      this.initEditor();\n      this.cdRef.markForCheck();\n    }\n  }\n\n  initForm(): void {\n    this.createExperimentForm = this.fb.group({\n      cwd: ['', [Validators.required]],\n    });\n  }\n\n  initEditor(): void {\n    this.options = {\n      code: {\n        mode: 'code',\n        onChange: () => {\n          let json;\n          try {\n            json = this.jsonEditorCode.get();\n          } catch (err) {\n            this.jsonHasError = true;\n            this.errMessage = err;\n            this.cdRef.markForCheck();\n          }\n          if (json) {\n            this.jsonHasError = false;\n            this.jsonCode = json;\n            if (this.autoConvert) {\n              this.validateJSON('Tree');\n            }\n            this.cdRef.markForCheck();\n          }\n        },\n      },\n      tree: {\n        mode: 'tree',\n        onChange: () => {\n          let json;\n          try {\n            json = this.jsonEditorTree.get();\n          } catch (err) {\n            this.jsonHasError = true;\n            this.snackbarService.error(err);\n            this.cdRef.markForCheck();\n          }\n          if (json) {\n            this.jsonHasError = false;\n            this.jsonCode = json;\n            this.validateJSON('Code');\n            this.cdRef.markForCheck();\n          }\n        },\n      },\n    };\n    this.jsonEditorCode = new JSONEditor(document.getElementById('jsonEditorCode'), this.options.code);\n    this.jsonEditorTree = new JSONEditor(document.getElementById('jsonEditorTree'), this.options.tree);\n    this.jsonCode = this.experimentConfig;\n    this.validateJSON('Code');\n    if (this.autoConvert) {\n      this.validateJSON('Tree');\n    }\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n    this.clear();\n  }\n\n  clear(): void {\n    this.experimentConfig = null;\n    this.jsonCode = null;\n    this.jsonEditorCode = null;\n    this.jsonEditorTree = null;\n    this.options = null;\n  }\n\n  validateJSON = (type) => {\n    if (type === 'Tree') {\n      this.jsonEditorTree.set(this.jsonCode);\n    } else if (type === 'Code') {\n      this.jsonEditorCode.set(this.jsonCode);\n    }\n  };\n\n  onCancel(): void {\n    this.confirmDialogRef = this.dialog.open(ConfirmDialogComponent, {\n      width: '450px',\n      data: {\n        title: 'Cancel and go back?',\n        content:\n          'Are you sure you want to cancel creating this experiment? Everything you added will be lost and you will return to the experiment list page.',\n        confirmButtonText: 'Confirm',\n      },\n      panelClass: 'header-modal',\n    });\n    this.confirmDialogRef.afterClosed().subscribe((confirm) => {\n      if (confirm) {\n        this.helperService.redirectTo('/list');\n      }\n    });\n  }\n\n  onCreateExperiment(): void {\n    if (!this.createExperimentForm.valid || !this.jsonCode || this.jsonHasError) {\n      return;\n    }\n    if (this.jsonHasError) {\n      this.snackbarService.error(this.errMessage);\n      return;\n    }\n    const createExperimentModel: CreateExperimentModel = {\n      cwd: this.createExperimentForm.value.cwd,\n      json_config_body: this.jsonCode,\n    };\n    this.store.dispatch(new CreateExperiment(createExperimentModel));\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/create-experiment/exampleJSON.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\nexport const example = {\n  name: 'new_exp',\n  proposer: 'sequence',\n  n_samples: 10,\n  random_seed: 1,\n  script: 'rosenbrock_hpo.py',\n  parameter_config: [\n    {\n      name: 'x',\n      range: [-5, 5],\n      type: 'float',\n    },\n    {\n      name: 'y',\n      range: [-5, 5],\n      type: 'float',\n    },\n  ],\n  resource: 'cpu',\n  n_parallel: 2,\n  target: 'min',\n};\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/experiment/experiment.component.html",
    "content": "<mat-drawer-container class=\"mat-typography main-container\">\n  <mat-drawer [@sidenavVisibility]=\"sidenavOpen$ | async\" #sidenav mode=\"side\" opened>\n    <!-- <div fxLayout=\"column\" fxLayoutAlign=\"center center\" class=\"p-4 side-nav-content\">\n      <a [routerLinkActive]=\"'route-active'\" routerLink=\"overview\">Overview</a>\n      <a [routerLinkActive]=\"'route-active'\" routerLink=\"job-status\">Job Status</a>\n      <a [routerLinkActive]=\"'route-active'\" routerLink=\"pcg\">Hyperparameter Interaction Graph</a>\n      <a [routerLinkActive]=\"'route-active'\" routerLink=\"multi\">Multi-experiment Comparison</a>\n    </div> -->\n    <app-sidenav [sideNavElements]=\"sideNavElements\"></app-sidenav>\n  </mat-drawer>\n  <mat-drawer-content [@contentVisibility]=\"sidenavOpen$ | async\">\n    <main class=\"p-5\">\n      <router-outlet></router-outlet>\n    </main>\n  </mat-drawer-content>\n</mat-drawer-container>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/experiment/experiment.component.scss",
    "content": ":host {\n  .main-container {\n    height: calc(100vh - 64px);\n  }\n  .logo-container {\n    > img {\n      height: 35px;\n    }\n  }\n\n  #sidenav {\n    width: 300px;\n  }\n\n  mat-drawer {\n    width: 300px;\n    mat-toolbar {\n      mat-icon {\n        font-size: 40px;\n        width: 40px;\n        height: 40px;\n      }\n      span {\n        font-size: 35px;\n        font-weight: 200;\n      }\n    }\n    .side-nav-content {\n      > a {\n        padding: 10px;\n        font-size: 20px;\n        font-weight: 400;\n        text-align: center;\n        line-height: 1.5;\n        width: 100%;\n      }\n    }\n  }\n\n  .refresh-interval {\n    width: 150px;\n    font-size: 18px;\n    margin-top: 10px;\n  }\n\n  .version {\n    font-size: 15px;\n    font-weight: 400;\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/experiment/experiment.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { ExperimentComponent } from './experiment.component';\n\ndescribe('ExperimentComponent', () => {\n  let component: ExperimentComponent;\n  let fixture: ComponentFixture<ExperimentComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, SharedModule, BrowserAnimationsModule],\n      declarations: [ExperimentComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(ExperimentComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/experiment/experiment.component.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, OnInit, OnDestroy } from '@angular/core';\nimport { Subscription, Observable } from 'rxjs';\nimport { Store, Select } from '@ngxs/store';\nimport { ActivatedRoute, Router } from '@angular/router';\nimport { trigger, state, style, transition, animate } from '@angular/animations';\nimport { NavItem } from '../../../../models/nav-items.model';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { GetInterimResults } from '../../store/experiment.actions';\n\n@Component({\n  selector: 'app-experiment',\n  templateUrl: './experiment.component.html',\n  styleUrls: ['./experiment.component.scss'],\n  animations: [\n    trigger('sidenavVisibility', [\n      state('false', style({ width: '75px' })),\n      state('true', style({ width: '250px' })),\n      transition('false => true', animate('200ms ease-in')),\n      transition('true => false', animate('200ms ease-in')),\n    ]),\n    trigger('contentVisibility', [\n      state('false', style({ marginLeft: '75px' })),\n      state('true', style({ marginLeft: '250px' })),\n      transition('false => true', animate('200ms ease-in')),\n      transition('true => false', animate('200ms ease-in')),\n    ]),\n  ],\n})\nexport class ExperimentComponent implements OnInit, OnDestroy {\n  @Select(ExperimentState.refreshInterval) refreshInterval$: Observable<number>;\n  @Select(ExperimentState.refreshingInterval) refreshingInterval$: Observable<boolean>;\n  @Select(ExperimentState.sidenavOpen) sidenavOpen$: Observable<boolean>;\n  @Select(ExperimentState.navItems) navItems$: Observable<any[]>;\n\n  subscription: Subscription;\n  experimentId: number;\n  isSidenavOpen = true;\n  sideNavElements: NavItem[];\n  refreshInterval: number;\n\n  constructor(readonly store: Store, readonly route: ActivatedRoute, readonly router: Router) {}\n\n  ngOnInit(): void {\n    this.subscription = new Subscription();\n    this.subscription.add(\n      this.navItems$.subscribe((navItems: NavItem[]) => {\n        if (navItems && navItems.length) {\n          this.sideNavElements = navItems;\n        }\n      })\n    );\n    this.store.dispatch(new GetInterimResults());\n  }\n\n  ngOnDestroy(): void {\n    this.subscription.unsubscribe();\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/index.ts",
    "content": "import { MainComponent } from './main/main.component';\nimport { ExperimentComponent } from './experiment/experiment.component';\nimport { ListComponent } from './list/list.component';\nimport { OverviewComponent } from './overview/overview.component';\nimport { JobStatusComponent } from './job-status/job-status.component';\nimport { PcgComponent } from './pcg/pcg.component';\nimport { MultiExpCompComponent } from './multi-exp-comp/multi-exp-comp.component';\nimport { InitializeComponent } from './initialize/initialize.component';\nimport { CreateExperimentComponent } from './create-experiment/create-experiment.component';\nimport { IntermResultsComponent } from './interm-results/interm-results.component';\nimport { NotificationComponent } from './notification/notification.component';\n\nexport const containers = [\n  MainComponent,\n  ExperimentComponent,\n  ListComponent,\n  OverviewComponent,\n  JobStatusComponent,\n  PcgComponent,\n  MultiExpCompComponent,\n  InitializeComponent,\n  CreateExperimentComponent,\n  IntermResultsComponent,\n  NotificationComponent,\n];\n\nexport * from './main/main.component';\nexport * from './experiment/experiment.component';\nexport * from './list/list.component';\nexport * from './overview/overview.component';\nexport * from './job-status/job-status.component';\nexport * from './pcg/pcg.component';\nexport * from './multi-exp-comp/multi-exp-comp.component';\nexport * from './initialize/initialize.component';\nexport * from './create-experiment/create-experiment.component';\nexport * from './interm-results/interm-results.component';\nexport * from './notification/notification.component';\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/initialize/initialize.component.html",
    "content": "<mat-toolbar color=\"primary\" fxLayout=\"row\" fxLayoutAlign=\"space-between center\" class=\"header-font\">\n  <div fxLayout=\"row\" fxLayoutAlign=\"center center\">\n    <a *ngIf=\"currentTheme?.name\" routerLink=\"/\" class=\"logo-container\"><img\n        [src]=\"'assets/images/Auptimizer-dark.png'\" /></a>\n  </div>\n  <div fxLayout=\"row\" fxLayoutGap=\"20px\" fxLayoutAlign=\"center center\">\n    <button [disabled]=\"!notifications?.length\" mat-icon-button [matMenuTriggerFor]=\"notificationMenu\">\n      <mat-icon matBadgeColor=\"warn\" [matBadgeHidden]=\"!notifications?.length\" [matBadge]=\"notifications?.length\">\n        notifications</mat-icon>\n    </button>\n    <button *ngIf=\"currentTheme\" mat-button (click)=\"setTheme()\" class=\"header-font\">\n      <mat-icon class=\"mr-3\">{{ currentTheme.icon }}</mat-icon>{{ currentTheme.name | flu }} mode\n    </button>\n    <div fxLayoutAlign=\"center center\">\n      <span>Version:&nbsp;</span>\n      <span *ngIf=\"version\">v{{ version }}</span>\n    </div>\n  </div>\n</mat-toolbar>\n\n<div class=\"initialize-container text-primary\" fxLayout=\"column\" fxLayoutAlign=\"center center\">\n  <mat-drawer-container fxLayout=\"column\" fxLayoutAlign=\"center center\">\n    <mat-drawer-content>\n      <div class=\"h-full\" fxLayout=\"column\" fxLayoutAlign=\"center center\">\n        <div class=\"w-full mb-4\" fxLayoutAlign=\"end\">\n          <button fxFlexAlign=\"end\" mat-raised-button [matMenuTriggerFor]=\"helpMenu\">\n            <mat-icon class=\"mr-3\">help_outline</mat-icon>\n            {{ 'interaction guide' | uppercase }}\n          </button>\n        </div>\n        <mat-card fxLayout=\"column\" fxLayoutAlign=\"center center\" *ngIf=\"(currentStep$ | async) === step.INIT\"\n          class=\"db-card\">\n          <img class=\"db-logo\" [src]=\"'assets/images/Auptimizer-' + currentTheme?.name + '.png'\" />\n          <div *ngIf=\"dbUrl$ | async as dbUrl\" class=\"h-full\" fxLayout=\"column\" fxLayoutAlign=\"center center\">\n            <h1 class=\"db-title max-480 pb-12\">Auptimizer environment is already set up</h1>\n            <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"center start\" fxLayoutGap=\"60px\">\n              <a class=\"db-btn\" mat-raised-button color=\"primary\" [routerLink]=\"['/']\">BACK</a>\n              <button class=\"db-btn\" (click)=\"createDatabaseStep()\" mat-button>RECREATE</button>\n            </div>\n          </div>\n          <div fxLayout=\"column\" *ngIf=\"(dbUrl$ | async) === null\">\n            <h1 class=\"db-title max-480\">There is no environment created</h1>\n            <p class=\"db-subtitle\">Let's set up an Auptimizer environment to run new experiments!</p>\n            <div class=\"w-full\" fxLayoutAlign=\"center start\">\n              <button class=\"db-btn\" (click)=\"createDatabaseStep()\" mat-raised-button color=\"primary\">CREATE</button>\n            </div>\n          </div>\n        </mat-card>\n        <mat-card fxLayout=\"column\" fxLayoutAlign=\"center center\" *ngIf=\"(currentStep$ | async) === step.WIZARD\"\n          class=\"db-card\">\n          <div class=\"w-full\" fxLayout=\"column\" fxLayoutAlign=\"center center\">\n            <h1 class=\"db-title m-0\">Set up an Auptimizer environment</h1>\n            <mat-horizontal-stepper linear #stepper>\n              <mat-step [stepControl]=\"firstFormGroup\">\n                <ng-template matStepLabel>Work dir</ng-template>\n                <form fxLayout=\"column\" fxLayoutAlign=\"center center\" [formGroup]=\"firstFormGroup\">\n                  <p class=\"db-text\">\n                    Working directory that contains your training script and saves the experiment results.\n                  </p>\n                  <mat-form-field appearance=\"outline\" class=\"w-full my-4\">\n                    <mat-label>Working directory</mat-label>\n                    <input type=\"text\" matInput placeholder=\"Work dir\" formControlName=\"work_dir\" required />\n                    <mat-error>Missing field</mat-error>\n                  </mat-form-field>\n                  <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"center start\" fxLayoutGap=\"60px\">\n                    <button mat-button (click)=\"databaseInitStep()\">BACK</button>\n                    <button class=\"db-btn\" mat-raised-button color=\"primary\" matStepperNext>NEXT</button>\n                  </div>\n                </form>\n              </mat-step>\n              <mat-step [stepControl]=\"secondFormGroup\">\n                <ng-template matStepLabel>Ini path</ng-template>\n                <form fxLayout=\"column\" fxLayoutAlign=\"center center\" [formGroup]=\"secondFormGroup\">\n                  <p class=\"db-text\">Path to the Auptimizer environment file.</p>\n                  <mat-form-field appearance=\"outline\" class=\"w-full my-4\">\n                    <mat-label>Ini path</mat-label>\n                    <input type=\"text\" matInput placeholder=\"Ini path\" formControlName=\"ini_path\" required />\n                    <mat-error>Missing field</mat-error>\n                  </mat-form-field>\n                  <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"center start\" fxLayoutGap=\"60px\">\n                    <button mat-button matStepperPrevious>BACK</button>\n                    <button class=\"db-btn\" mat-raised-button color=\"primary\" matStepperNext>NEXT</button>\n                  </div>\n                </form>\n              </mat-step>\n              <mat-step [stepControl]=\"thirdFormGroup\">\n                <ng-template matStepLabel>Resource</ng-template>\n                <div fxLayout=\"column\" fxLayoutAlign=\"center center\" class=\"w-full\">\n                  <p class=\"db-text\">Select your target resource to run experiments.</p>\n                </div>\n                <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"center\">\n                  <button class=\"path-type-btn\" *ngFor=\"let value of types\"\n                    [ngClass]=\"value === type ? 'btn-primary' : ''\" (click)=\"setType(value)\">\n                    {{ value }}\n                  </button>\n                </div>\n                <form fxLayout=\"column\" fxLayoutAlign=\"center center\" [formGroup]=\"thirdFormGroup\">\n                  <mat-form-field appearance=\"outline\" *ngIf=\"type === 'cpu'\" class=\"w-full mb-4\">\n                    <mat-label>CPU</mat-label>\n                    <input type=\"text\" matInput placeholder=\"CPU\" formControlName=\"cpu\" />\n                    <mat-hint>Number of CPUs</mat-hint>\n                    <mat-error>CPU must be a number</mat-error>\n                  </mat-form-field>\n                  <mat-form-field appearance=\"outline\" *ngIf=\"type === 'aws'\" class=\"w-full mb-4\">\n                    <mat-label>AWS File</mat-label>\n                    <input type=\"text\" matInput placeholder=\"AWS File\" formControlName=\"aws_file\" />\n                  </mat-form-field>\n                  <mat-form-field appearance=\"outline\" *ngIf=\"type === 'gpu'\" class=\"w-full mb-4\">\n                    <mat-label>GPU File</mat-label>\n                    <input type=\"text\" matInput placeholder=\"GPU\" formControlName=\"gpu_file\" />\n                  </mat-form-field>\n                  <mat-form-field appearance=\"outline\" *ngIf=\"type === 'node'\" class=\"w-full mb-4\">\n                    <mat-label>Node File</mat-label>\n                    <input type=\"text\" matInput placeholder=\"Node file\" formControlName=\"node_file\" />\n                  </mat-form-field>\n                </form>\n                <form fxLayout=\"column\" fxLayoutAlign=\"start\" [formGroup]=\"overwriteFormGroup\">\n                  <mat-checkbox formControlName=\"overwrite\">Overwrite</mat-checkbox>\n                </form>\n                <div class=\"db-info\" fxLayout=\"row\" fxLayoutAlign=\"start center\" fxLayoutGap=\"15px\">\n                  <mat-icon color=\"warn\">info</mat-icon>\n                  <p class=\"mb-0\">Overwrite any existing Auptimizer environment set up in the same working directory</p>\n                </div>\n                <div class=\"w-full mt-5\" fxLayout=\"row\" fxLayoutAlign=\"center start\" fxLayoutGap=\"60px\">\n                  <button mat-button matStepperPrevious>BACK</button>\n                  <div [matTooltip]=\"overwriteFormGroup.valid ? '' : 'Please check `Overwrite`'\">\n                    <button class=\"db-btn\" mat-raised-button color=\"primary\" (click)=\"onSubmit()\"\n                      [disabled]=\"!overwriteFormGroup.valid || !thirdFormGroup.valid\">SET UP</button>\n                  </div>\n                </div>\n              </mat-step>\n            </mat-horizontal-stepper>\n          </div>\n        </mat-card>\n      </div>\n    </mat-drawer-content>\n  </mat-drawer-container>\n</div>\n\n<mat-menu #notificationMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"notification-menu\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button>\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <app-notification (click)=\"$event.stopPropagation()\"></app-notification>\n</mat-menu>\n\n<mat-menu #helpMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"help-menu\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button class=\"example-icon\" aria-label=\"Example icon-button with share icon\">\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <mat-drawer-container class=\"help-content\" fxLayout=\"column\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"30px\">\n    <div fxLayout=\"column\" fxLayoutAlign=\"start center\" fxLayoutGap=\"30px\" class=\"p-5\">\n      <div class=\"w-full\">\n        <ul class=\"ml-5 help-list\">\n          <li>\n            <span class=\"font-medium\">Working directory:</span> a directory that contains your training script\n          </li>\n          <li>\n            <span class=\"font-medium\">Ini path:</span> the path to the Auptimizer environment (.ini) file. Follow the <a\n              href=\"https://lge-arc-advancedai.github.io/auptimizer/environment.html#environment-template-file-ini\"\n              target=\"_blank\">link</a> to prepare this file\n          </li>\n          <li>\n            <span class=\"font-medium\">cpu/aws/gpu/node:</span> your target resource to run experiments. Follow the <a\n              href=\"https://lge-arc-advancedai.github.io/auptimizer/environment.html#configuration-options\"\n              target=\"_blank\">link</a> to fill out specifications for each resource.\n            <!-- <ul class=\"mt-3 ml-12\">\n              <li>\n                <span class=\"font-medium\">AWS File</span> (will be shown when user selects aws): the path to a text file\n                with a list of AWS machine access points. You can follow link to prepare this file\n              </li>\n              <li>\n                <span class=\"font-medium\">GPU File </span>(will be shown when user selects gpu): the path to a text file\n                that maps jobs to GPUs. You can follow link to prepare this file\n              </li>\n              <li>\n                <span class=\"font-medium\">Node File </span>(will be shown shen user selects node): the path to a text\n                file with a list of remote machine access points. You can follow link to prepare this file\n              </li>\n            </ul> -->\n          </li>\n          <li>\n            <span class=\"font-medium\">Overwrite:</span> overwrite any existing Auptimizer environment set up in the same\n            working directory\n          </li>\n        </ul>\n      </div>\n    </div>\n  </mat-drawer-container>\n</mat-menu>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/initialize/initialize.component.scss",
    "content": ":host {\n  .header-font {\n    font-size: 15px;\n  }\n  .db-card {\n    padding: 60px;\n  }\n  .db-logo {\n    width: 442px;\n    height: 61px;\n  }\n  .max-480 {\n    max-width: 480px;\n  }\n  .db-title {\n    margin: 60px 30px 10px;\n    font-size: 30px;\n    font-weight: 500;\n    font-stretch: normal;\n    font-style: normal;\n    line-height: 1.2;\n    letter-spacing: normal;\n    text-align: center;\n  }\n  .db-subtitle {\n    width: 347px;\n    height: 49px;\n    margin: 9px 50px 44px 45px;\n    font-size: 16px;\n    font-weight: normal;\n    font-stretch: normal;\n    font-style: normal;\n    line-height: 1.19;\n    letter-spacing: normal;\n    text-align: center;\n  }\n  .db-text {\n    width: 347px;\n    font-size: 16px;\n    font-weight: normal;\n    font-stretch: normal;\n    font-style: normal;\n    line-height: 1.19;\n    letter-spacing: normal;\n    text-align: center;\n  }\n  .db-btn {\n    width: 127px;\n    height: 36px;\n    border-radius: 6px;\n  }\n  .db-info {\n    width: 350px;\n    font-size: 12px;\n    font-weight: normal;\n    font-stretch: normal;\n    font-style: normal;\n    line-height: 1.25;\n    letter-spacing: normal;\n    text-align: left;\n    margin-top: 5px;\n  }\n  .path-type-btn {\n    width: 94px;\n    height: 74px;\n    margin: 15px;\n    padding: 25px 30px 25px 31px;\n    border-radius: 6px;\n    border: solid 1px #cbcbcb;\n  }\n  .initialize-container > mat-drawer-container {\n    height: 100%;\n    min-height: calc(100vh - 64px);\n    padding: 50px;\n    width: 100%;\n    > mat-drawer-container {\n      height: 100%;\n      min-height: calc(100vh - 64px);\n      width: 100%;\n    }\n  }\n  .logo-container {\n    > img {\n      height: 35px;\n    }\n  }\n  .headers-align .mat-expansion-panel-header-title,\n  .headers-align .mat-expansion-panel-header-description {\n    flex-basis: 0;\n  }\n\n  .headers-align .mat-expansion-panel-header-description {\n    justify-content: space-between;\n    align-items: center;\n  }\n\n  ul > li {\n    list-style-type: circle;\n    padding-bottom: 15px;\n  }\n}\n\n::ng-deep mat-toolbar {\n  font-size: 14px;\n}\n\n::ng-deep .mat-menu-panel {\n  max-width: none !important;\n}\n\n::ng-deep .mat-menu-content:not(:empty) {\n  padding: 0 !important;\n}\n\n.notification-menu {\n  height: 40px;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/initialize/initialize.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { InitializeComponent } from './initialize.component';\n\ndescribe('InitializeComponent', () => {\n  let component: InitializeComponent;\n  let fixture: ComponentFixture<InitializeComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      declarations: [InitializeComponent],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, SharedModule],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(InitializeComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/initialize/initialize.component.ts",
    "content": "/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/unbound-method */\n/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable no-shadow */\nimport { ChangeDetectionStrategy, ChangeDetectorRef, Component, OnDestroy, OnInit } from '@angular/core';\nimport { AppState } from '../../../../appStore/app.store';\nimport { Observable } from 'rxjs/internal/Observable';\nimport { Select, Store } from '@ngxs/store';\nimport { FormGroup, Validators, FormControl } from '@angular/forms';\nimport { SetupDB } from '../../store/experiment-state.model';\nimport { SetupDatabase } from '../../store/experiment.actions';\nimport { AppNotification, Theme } from '../../../../appStore/app-state.model';\nimport { ChangeTheme } from '../../../../appStore/app.actions';\nimport { environment } from '../../../../../environments/environment';\nimport { BehaviorSubject, Subscription } from 'rxjs';\nimport { HelperService } from '../../../../shared/services';\nimport { STEPPER_GLOBAL_OPTIONS } from '@angular/cdk/stepper';\nimport { AtLeastValidator } from '../../../../shared/validators';\n\nexport enum STEP {\n  INIT,\n  WIZARD,\n}\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-initialize',\n  templateUrl: './initialize.component.html',\n  styleUrls: ['./initialize.component.scss'],\n  providers: [\n    {\n      provide: STEPPER_GLOBAL_OPTIONS,\n      useValue: { showError: true },\n    },\n  ],\n})\nexport class InitializeComponent implements OnInit, OnDestroy {\n  @Select(AppState.dbUrl) dbUrl$: Observable<string>;\n  @Select(AppState.themes) themes$: Observable<Theme[]>;\n  @Select(AppState.theme) theme$: Observable<Theme>;\n  @Select(AppState.notifications) notifications$: Observable<AppNotification[]>;\n\n  types = ['cpu', 'aws', 'gpu', 'node'];\n  type = 'cpu';\n  step = STEP;\n  currentStep$ = new BehaviorSubject<number>(STEP.INIT);\n\n  public themes;\n  currentTheme = {\n    name: null,\n    icon: null,\n  };\n  version: string;\n  subscriptions: Subscription;\n  showInteractionGuide = false;\n  notifications: AppNotification[];\n\n  firstFormGroup: FormGroup;\n  secondFormGroup: FormGroup;\n  thirdFormGroup: FormGroup;\n  overwriteFormGroup: FormGroup;\n\n  constructor(public helperService: HelperService, readonly store: Store, private cdRef: ChangeDetectorRef) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    this.firstFormGroup = new FormGroup({\n      work_dir: new FormControl('', [Validators.required]),\n    });\n    this.secondFormGroup = new FormGroup({\n      ini_path: new FormControl('', [Validators.required]),\n    });\n    this.thirdFormGroup = new FormGroup(\n      {\n        cpu: new FormControl('', [Validators.pattern(/^[0-9]*$/)]),\n        aws_file: new FormControl(''),\n        gpu_file: new FormControl(''),\n        node_file: new FormControl(''),\n      },\n      AtLeastValidator(1)\n    );\n    this.overwriteFormGroup = new FormGroup({\n      overwrite: new FormControl(false, [Validators.required]),\n    });\n    this.version = environment.version;\n    this.subscriptions.add(\n      this.themes$.subscribe((themes: Theme[]) => {\n        this.themes = themes;\n        this.cdRef.markForCheck();\n      })\n    );\n    this.subscriptions.add(\n      this.theme$.subscribe((theme: Theme) => {\n        this.currentTheme = theme;\n        this.cdRef.markForCheck();\n      })\n    );\n    this.subscriptions.add(\n      this.dbUrl$.subscribe((dbUrl: string) => {\n        if (dbUrl) {\n          this.overwriteFormGroup.controls.overwrite.setValidators(Validators.requiredTrue);\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.notifications$.subscribe((notifications: AppNotification[]) => {\n        if (notifications) {\n          this.notifications = notifications;\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n  }\n\n  setTheme(): void {\n    if (this.themes && this.themes.length) {\n      if (this.currentTheme === this.themes[0]) {\n        this.currentTheme = this.themes[1];\n      } else {\n        this.currentTheme = this.themes[0];\n      }\n      this.store.dispatch(new ChangeTheme(this.currentTheme));\n    }\n  }\n\n  createDatabaseStep(): void {\n    this.currentStep$.next(STEP.WIZARD);\n  }\n\n  databaseInitStep(): void {\n    this.currentStep$.next(STEP.INIT);\n  }\n\n  setType(value: string): void {\n    if (!value) {\n      return;\n    }\n    this.type = value;\n    this.thirdFormGroup.reset();\n    this.cdRef.markForCheck();\n  }\n\n  onSubmit(): void {\n    if (\n      !this.firstFormGroup.valid ||\n      !this.secondFormGroup.valid ||\n      !this.thirdFormGroup.valid ||\n      !this.overwriteFormGroup.valid\n    ) {\n      return;\n    }\n    const setupParams: SetupDB = {\n      work_dir: this.firstFormGroup.value.work_dir,\n      ini_path: this.secondFormGroup.value.ini_path,\n      overwrite: this.overwriteFormGroup.value.overwrite,\n    };\n    switch (this.type) {\n      case 'cpu':\n        setupParams.cpu = this.thirdFormGroup.value.cpu;\n        break;\n      case 'aws':\n        setupParams.aws_file = this.thirdFormGroup.value.aws_file;\n        break;\n      case 'gpu':\n        setupParams.gpu_file = this.thirdFormGroup.value.gpu_file;\n        break;\n      case 'node':\n        setupParams.node_file = this.thirdFormGroup.value.node_file;\n        break;\n    }\n    this.store.dispatch(new SetupDatabase(setupParams));\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/interm-results/interm-results.component.html",
    "content": "<div fxLayout=\"column\">\n  <h1 class=\"mat-headline\">Compare the intermediate results of an experiment`s jobs against each other</h1>\n\n  <div *ngIf=\"loadingIntermResults$ | async\" fxLayout=\"row\" fxLayoutAlign=\"center center\" class=\"p-10\">\n    <mat-spinner color=\"accent\" [diameter]=\"100\" class=\"mt-10\"></mat-spinner>\n  </div>\n\n  <ng-container *ngIf=\"(loadingIntermResults$ | async) === false\">\n    <div fxLayout=\"row\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"20px\">\n      <div class=\"w-full\" *ngIf=\"intermResults && intermResults.length\">\n        <mat-form-field appearance=\"outline\" class=\"w-full\" *ngIf=\"intermResults && intermResults.length > 0\">\n          <mat-label>Select Experiments</mat-label>\n          <mat-select [(ngModel)]=\"selectedExperiment\" (selectionChange)=\"onSelectExperiment($event)\">\n            <mat-option *ngFor=\"let experiment of intermResults\" [value]=\"experiment\">\n              {{ experiment.name || experiment.scriptName }}\n            </mat-option>\n          </mat-select>\n        </mat-form-field>\n      </div>\n      <div class=\"w-full\" *ngIf=\"interimExperimentMultResLabels && interimExperimentMultResLabels.length > 0\">\n        <mat-form-field appearance=\"outline\" class=\"w-full mr-3\">\n          <mat-label> Y-axis </mat-label>\n          <mat-select class=\"w-full\" (selectionChange)=\"selectLabel($event.value)\" [formControl]=\"selectedLabel\">\n            <mat-option *ngFor=\"let label of interimExperimentMultResLabels\" [value]=\"label\">\n              {{ label }}\n            </mat-option>\n          </mat-select>\n        </mat-form-field>\n      </div>\n      <div class=\"w-full\" *ngIf=\"jobs && jobs.length\">\n        <mat-form-field appearance=\"outline\" class=\"w-full\" *ngIf=\"jobs && jobs.length > 0\">\n          <mat-label>Select Job</mat-label>\n          <mat-select\n            multiple\n            [(ngModel)]=\"selectedJobs\"\n            (openedChange)=\"onOpenSelectJob()\"\n            (selectionChange)=\"onSelectJob($event)\"\n          >\n            <mat-option *ngFor=\"let job of jobs\" [value]=\"job\">\n              {{ job.jid }}\n            </mat-option>\n          </mat-select>\n        </mat-form-field>\n      </div>\n    </div>\n\n    <div class=\"w-full mb-4 mr-3\" fxLayoutAlign=\"space-between center\">\n      <button matTooltip=\"Current view will be downloaded\" mat-raised-button (click)=\"downloadGraph()\">\n        {{ 'Download graph png' | uppercase }}\n      </button>\n      <button fxFlexAlign=\"end\" mat-raised-button [matMenuTriggerFor]=\"helpMenu\">\n        <mat-icon class=\"mr-3\">help_outline</mat-icon>\n        {{ 'interaction guide' | uppercase }}\n      </button>\n    </div>\n\n    <div class=\"w-full\">\n      <plotly-plot\n        class=\"w-full chart\"\n        divId=\"interim\"\n        [data]=\"graph.data\"\n        [layout]=\"graph.layout\"\n        [config]=\"graph.config\"\n      ></plotly-plot>\n    </div>\n  </ng-container>\n</div>\n\n<mat-menu #helpMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"help-menu\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button>\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <mat-drawer-container class=\"help-content\" fxLayout=\"column\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"30px\">\n    <div fxLayout=\"column\" fxLayoutAlign=\"start\" fxLayoutGap=\"30px\" class=\"p-5 w-full\">\n      <p fxFlex=\"100\" fxLayout=\"row\" fxLayoutAlign=\"start\" class=\"mt-0 mb-3\">\n        To make best use of this graph, please check the job status to identify jobs you would like to visualize.\n      </p>\n      <p fxFlex=\"100\" fxLayout=\"row\" fxLayoutAlign=\"start\" class=\"my-0\">On the graph:</p>\n      <div fxLayout=\"row\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"30px\">\n        <ul class=\"mt-3 ml-5 help-list\">\n          <li>zoom out/in: place mouse on the graph and scroll up/down</li>\n          <li>zoom in a specific area: click mouse anywhere on the graph and drag it to draw a square</li>\n          <li>change the axis range: drag the label on x-axis or y-axis</li>\n          <li>show/hide data: click on the corresponding legend</li>\n          <li>show detailed value: hover over the data point</li>\n          <li>go back to default view: double-click on anywhere on the plot</li>\n        </ul>\n      </div>\n    </div>\n  </mat-drawer-container>\n</mat-menu>\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/interm-results/interm-results.component.scss",
    "content": ".multiplier {\n  width: 110px;\n  margin-top: 1px;\n  > mat-form-field {\n    text-align: center;\n  }\n}\n\n.headers-align .mat-expansion-panel-header-title,\n.headers-align .mat-expansion-panel-header-description {\n  flex-basis: 0;\n}\n\n.headers-align .mat-expansion-panel-header-description {\n  justify-content: space-between;\n  align-items: center;\n}\n\n.headers-align .mat-form-field + .mat-form-field {\n  margin-left: 8px;\n}\n\nmat-select, input {\n  font-size: 18px;\n  padding-top: 10px;\n}\n\n.chart {\n  height: 540px;\n}"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/interm-results/interm-results.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { IntermResultsComponent } from './interm-results.component';\n\ndescribe('IntermResultsComponent', () => {\n  let component: IntermResultsComponent;\n  let fixture: ComponentFixture<IntermResultsComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, SharedModule],\n      declarations: [IntermResultsComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(IntermResultsComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/interm-results/interm-results.component.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable @typescript-eslint/no-unused-expressions */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-floating-promises */\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/unbound-method */\n// import { DatePipe, formatDate } from '@angular/common';\nimport {\n  ChangeDetectionStrategy,\n  ChangeDetectorRef,\n  Component,\n  OnDestroy,\n  OnInit,\n  LOCALE_ID,\n  Inject,\n} from '@angular/core';\nimport { MatSelectChange } from '@angular/material/select';\nimport { ActivatedRoute, Router } from '@angular/router';\nimport { Select, Store } from '@ngxs/store';\nimport { PlotlyService } from 'angular-plotly.js';\nimport { Observable, Subscription } from 'rxjs';\nimport { withLatestFrom } from 'rxjs/operators';\nimport { Theme } from '../../../../appStore/app-state.model';\nimport { AppState } from '../../../../appStore/app.store';\nimport { FirstLetterUppercasePipe } from '../../../../shared/pipes';\nimport { UtilsService } from '../../../../shared/services';\nimport { IntermediateExperiment, IntermediateJob, IntermediateResult } from '../../store/experiment-state.model';\nimport { GetExperimentInterimResults, SetInterimExperiment } from '../../store/experiment.actions';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { GRAPH_COLORS } from '../../../../models/data/graph-colors.data';\nimport { FormControl } from '@angular/forms';\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-interm-results',\n  templateUrl: './interm-results.component.html',\n  styleUrls: ['./interm-results.component.scss'],\n})\nexport class IntermResultsComponent implements OnInit, OnDestroy {\n  @Select(AppState.theme) theme$: Observable<Theme>;\n  @Select(ExperimentState.intermResults) intermResults$: Observable<IntermediateExperiment[]>;\n  @Select(ExperimentState.loadingIntermResults) loadingIntermResults$: Observable<boolean>;\n  @Select(ExperimentState.interimExperimentJobs) interimExperimentJobs$: Observable<IntermediateJob[]>;\n  @Select(ExperimentState.interimExperimentMultResLabels) interimExperimentMultResLabels$: Observable<string[]>;\n  @Select(ExperimentState.interimExperimentSelectedLabel) interimExperimentSelectedLabel$: Observable<string>;\n\n  subscriptions: Subscription;\n  intermResults: IntermediateExperiment[];\n  jobs: IntermediateJob[];\n  theme: Theme;\n  selectedExperiment: IntermediateExperiment;\n  selectedJobs: IntermediateJob[] = [];\n  interimExperimentMultResLabels: string[];\n  selectedLabel = new FormControl();\n  yAxisLabel = 'score';\n\n  public graph = {\n    data: [],\n    layout: {\n      height: 540,\n      xaxis: {\n        title: {\n          text: '',\n        },\n      },\n      yaxis: {\n        title: {\n          text: '',\n        },\n      },\n    },\n    config: {\n      responsive: true,\n      displayModeBar: false,\n      scrollZoom: true,\n    },\n  };\n\n  showInteractionGuide = false;\n  experimentId: number;\n  flag: boolean;\n\n  constructor(\n    @Inject(LOCALE_ID) private locale: string,\n    readonly store: Store,\n    private cdRef: ChangeDetectorRef,\n    private route: ActivatedRoute,\n    private utilsService: UtilsService,\n    private plotlyService: PlotlyService,\n    readonly router: Router\n  ) {\n    this.flag = true;\n  }\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    if (this.route?.parent?.params) {\n      this.subscriptions.add(\n        this.intermResults$\n          .pipe(withLatestFrom(this.route?.parent?.params))\n          .subscribe(([intermResults, params]: [IntermediateExperiment[], any]) => {\n            if (params && params['id']) {\n              this.experimentId = params['id'];\n            }\n            if (intermResults && intermResults.length) {\n              this.intermResults = intermResults;\n              this.intermResults.map((exp: IntermediateExperiment) => {\n                console.log(exp);\n                // console.log(this.experimentId);\n                if (exp.eid === +this.experimentId) {\n                  this.selectedExperiment = exp;\n                  console.log(this.selectedExperiment);\n                  this.store.dispatch(new SetInterimExperiment(this.selectedExperiment));\n                  this.store.dispatch(new GetExperimentInterimResults({ eid: this.selectedExperiment.eid }));\n                  this.cdRef.markForCheck();\n                }\n              });\n              this.cdRef.markForCheck();\n            }\n          })\n      );\n    }\n    this.subscriptions.add(\n      this.theme$.subscribe((theme: Theme) => {\n        if (theme) {\n          this.theme = theme;\n          this.toggleChartTheme();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.interimExperimentMultResLabels$.subscribe((interimExperimentMultResLabels: string[]) => {\n        this.interimExperimentMultResLabels = interimExperimentMultResLabels;\n      })\n    );\n    this.subscriptions.add(\n      this.interimExperimentSelectedLabel$.subscribe((interimExperimentSelectedLabel: string) => {\n        if (interimExperimentSelectedLabel) {\n          console.log('interimExperimentSelectedLabel: ', interimExperimentSelectedLabel);\n          this.selectedLabel.patchValue(interimExperimentSelectedLabel);\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.interimExperimentJobs$.subscribe((jobs: IntermediateJob[]) => {\n        if (jobs && jobs.length) {\n          const preselectedJobs = this.selectedJobs;\n          this.jobs = jobs.slice().sort((a, b) => this.utilsService.compare(a.jid, b.jid, true));\n          if (!this.selectedJobs.length && this.flag) {\n            if (this.jobs[0]) {\n              this.selectedJobs.push(this.jobs[0]);\n            }\n            if (this.jobs[1]) {\n              this.selectedJobs.push(this.jobs[1]);\n            }\n            if (this.jobs[2]) {\n              this.selectedJobs.push(this.jobs[2]);\n            }\n            this.computePlots();\n          } else {\n            this.selectedJobs = this.jobs.filter((y) => preselectedJobs.some((j) => j.jid === y.jid));\n          }\n          this.selectedJobs = this.jobs.filter((job) => preselectedJobs.some((preJob) => preJob.jid === job.jid));\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n  }\n\n  onSelectExperiment(matSelect: MatSelectChange): void {\n    if (!matSelect) {\n      return;\n    }\n    this.flag = true;\n    this.selectedJobs = [];\n    this.graph.data = [];\n    this.selectedExperiment = matSelect.value;\n    this.jobs = null;\n    this.store.dispatch(new SetInterimExperiment(this.selectedExperiment));\n    this.store.dispatch(new GetExperimentInterimResults({ eid: this.selectedExperiment.eid }));\n    this.router.navigate([`experiment/${this.selectedExperiment.eid}/interm`]);\n    this.cdRef.markForCheck();\n  }\n\n  onOpenSelectJob(): void {\n    this.flag = false;\n    this.store.dispatch(new GetExperimentInterimResults({ eid: this.selectedExperiment.eid }));\n  }\n\n  onSelectJob(matSelect: MatSelectChange): void {\n    if (!matSelect) {\n      return;\n    }\n    this.selectedJobs = matSelect.value;\n    this.computePlots();\n  }\n\n  downloadGraph(): void {\n    const graphDiv = this.plotlyService.getInstanceByDivId('interim');\n    this.plotlyService\n      .getPlotly()\n      .downloadImage(graphDiv, { format: 'png', width: '1000', height: '450', filename: 'intermediateResults' });\n  }\n\n  computePlots(): void {\n    this.toggleChartTheme();\n    if (this.selectedJobs.length) {\n      const traces = this.selectedJobs.map((job: IntermediateJob) => {\n        return {\n          x: [\n            ...job.interimResults.map(\n              (jIr: IntermediateResult) =>\n                // formatDate(jIr.receiveTime * 1000, 'yyyy-MM-dd hh:mm:ss', this.locale)\n                (jIr.receiveTime - job.interimResults[0].receiveTime) / 1000\n            ),\n          ],\n          y: [...job.interimResults.map((jIr: IntermediateResult) => jIr.score)],\n          mode: 'lines+markers',\n          type: 'scatter',\n          name: job.jid,\n        };\n      });\n      this.graph.data = traces;\n    } else {\n      this.graph.data = [];\n    }\n    this.cdRef.markForCheck();\n  }\n\n  toggleChartTheme(): void {\n    if (!this.theme) {\n      return;\n    }\n    this.theme.name === 'dark'\n      ? (this.graph.layout = this.changeDarkModeChart())\n      : (this.graph.layout = this.changeLightModeChart());\n    this.cdRef.markForCheck();\n  }\n\n  changeLightModeChart(): any {\n    const flu = new FirstLetterUppercasePipe();\n    return {\n      colorway: GRAPH_COLORS,\n      hovermode: 'closest',\n      height: 450,\n      showlegend: true,\n      xaxis: {\n        zeroline: false,\n        title: {\n          text: flu.transform('time (seconds)'),\n          font: {\n            size: 18,\n            color: '#7f7f7f',\n          },\n        },\n      },\n      yaxis: {\n        zeroline: false,\n        title: {\n          text: flu.transform(this.yAxisLabel),\n          font: {\n            size: 18,\n            color: '#7f7f7f',\n          },\n        },\n      },\n    };\n  }\n\n  changeDarkModeChart(): any {\n    const flu = new FirstLetterUppercasePipe();\n    return {\n      colorway: GRAPH_COLORS,\n      hovermode: 'closest',\n      plot_bgcolor: '#424242',\n      paper_bgcolor: '#424242',\n      height: 450,\n      showlegend: true,\n      legend: {\n        font: {\n          color: '#ffffff',\n        },\n      },\n      xaxis: {\n        title: {\n          text: flu.transform('time (seconds)'),\n          font: {\n            size: 18,\n            color: '#ffffff',\n          },\n        },\n        gridcolor: '#c0c0c0',\n        tickfont: {\n          color: '#ffffff',\n        },\n        showline: true,\n        showgrid: true,\n        zeroline: false,\n        showticklabels: true,\n      },\n      yaxis: {\n        title: {\n          text: flu.transform(this.yAxisLabel),\n          font: {\n            size: 18,\n            color: '#ffffff',\n          },\n        },\n        gridcolor: '#c0c0c0',\n        tickfont: {\n          color: '#ffffff',\n        },\n        showline: true,\n        showgrid: true,\n        zeroline: false,\n        showticklabels: true,\n      },\n      line: {\n        color: '#ffffff',\n      },\n    };\n  }\n\n  selectLabel(label: string): void {\n    if (!label) {\n      return;\n    }\n    this.yAxisLabel = label;\n    this.cdRef.markForCheck();\n    this.flag = true;\n    this.selectedJobs = [];\n    this.graph.data = [];\n    this.jobs = null;\n    this.toggleChartTheme();\n    this.store.dispatch(new GetExperimentInterimResults({ eid: this.selectedExperiment.eid, label }));\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/job-status/job-status.component.html",
    "content": "<h1 class=\"mat-headline\">Status of all the jobs for the current experiment</h1>\n\n<div fxLayout=\"row\" fxLayoutAlign=\"space-between center\" class=\"mt-5 w-full\">\n  <app-experiment-dropdown\n    class=\"mr-3 w-full\"\n    [experimentId]=\"experimentId\"\n    (toggleExperiment)=\"toggleExperiment($event)\"\n  ></app-experiment-dropdown>\n  <mat-form-field\n    appearance=\"outline\"\n    class=\"w-full mr-3\"\n    *ngIf=\"jobMultipleResulsLabels && jobMultipleResulsLabels.length > 0\"\n  >\n    <mat-label> Y-axis </mat-label>\n    <mat-select\n      class=\"w-full\"\n      (selectionChange)=\"selectLabel($event.value)\"\n      [formControl]=\"selectedLabel\"\n    >\n      <mat-option *ngFor=\"let label of jobMultipleResulsLabels\" [value]=\"label\">\n        {{ label }}\n      </mat-option>\n    </mat-select>\n  </mat-form-field>\n  <mat-slide-toggle (change)=\"onToggleChartLine($event)\" [(ngModel)]=\"optimizationCurve\" class=\"mr-5\">\n    Best Results\n  </mat-slide-toggle>\n</div>\n\n<div class=\"w-full mb-4 mr-3\" fxLayoutAlign=\"space-between center\">\n  <button matTooltip=\"Current view will be downloaded\" mat-raised-button (click)=\"downloadGraph()\">\n    {{ 'Download graph png' | uppercase }}\n  </button>\n  <button fxFlexAlign=\"end\" mat-raised-button [matMenuTriggerFor]=\"helpMenu\">\n    <mat-icon class=\"mr-3\">help_outline</mat-icon>\n    {{ 'interaction guide' | uppercase }}\n  </button>\n</div>\n\n<div fxLayout=\"row\" class=\"w-full\">\n  <plotly-plot\n    (window:resize)=\"onResize($event)\"\n    class=\"w-full mr-3 chart\"\n    divId=\"jobStatus\"\n    [data]=\"linePlot.data\"\n    [layout]=\"linePlot.layout\"\n    [config]=\"linePlot.config\"\n  >\n  </plotly-plot>\n</div>\n<div class=\"w-full mt-3 mb-12\">\n  <div fxLayout=\"row\" fxLayoutAlign=\"start center\">\n    <mat-form-field\n      appearance=\"outline\"\n      class=\"w-full mr-3\"\n      *ngIf=\"allColumns && allColumns.length > 0 && allColumns !== null\"\n    >\n      <mat-label> Select columns </mat-label>\n      <mat-select class=\"w-full\" (selectionChange)=\"selectHyperparams($event)\" multiple [(ngModel)]=\"selectedCols\">\n        <mat-option *ngFor=\"let col of allColumns\" [value]=\"col\">\n          {{ col }}\n        </mat-option>\n      </mat-select>\n    </mat-form-field>\n    <button\n      matTooltip=\"Current table will be exported\"\n      class=\"mb-2 mr-1 mw-150\"\n      mat-raised-button\n      [matMenuTriggerFor]=\"exportTableMenu\"\n    >\n      {{ 'Export as' | uppercase }}\n    </button>\n  </div>\n  <table\n    mat-table\n    matTableExporter\n    [dataSource]=\"dataSource\"\n    matSort\n    #exporter=\"matTableExporter\"\n    class=\"mat-elevation-z8 w-full job-status-table\"\n    [style.display]=\"columnsToDisplay && columnsToDisplay.length ? '' : 'none'\"\n  >\n    <ng-container [matColumnDef]=\"column\" *ngFor=\"let column of columnsToDisplay\">\n      <th mat-header-cell mat-sort-header *matHeaderCellDef>{{ column | flu }}</th>\n      <td mat-cell *matCellDef=\"let element\" [ngClass]=\"column == 'status' ? 'status-' + element.status : ''\">\n        <span *ngIf=\"column !== 'start time' && column !== 'end time'\">\n          <span *ngIf=\"utilsService.isNumber(element[column])\">{{ element[column] | number: '1.0-6' }}</span>\n          <span *ngIf=\"!utilsService.isNumber(element[column])\">{{ element[column] }}</span>\n        </span>\n        <span *ngIf=\"column === 'start time' || column === 'end time'\">\n          <span *ngIf=\"element[column]\">{{ element[column] * 1000 | date: 'medium' }}</span>\n        </span>\n      </td>\n    </ng-container>\n\n    <tr mat-header-row *matHeaderRowDef=\"columnsToDisplay\"></tr>\n    <tr mat-row *matRowDef=\"let row; columns: columnsToDisplay\"></tr>\n  </table>\n  <mat-paginator\n    class=\"mat-elevation-z8\"\n    [pageSize]=\"pageSize\"\n    [pageSizeOptions]=\"[5, 10, 25, 100]\"\n    [style.display]=\"columnsToDisplay && columnsToDisplay.length && dataSource.data.length > 0 ? 'block' : 'none'\"\n  >\n  </mat-paginator>\n</div>\n\n<mat-menu #exportTableMenu=\"matMenu\">\n  <button mat-menu-item (click)=\"exporter.exportTable('xls', { fileName: exportedName })\">\n    {{ 'xls' | uppercase }}\n  </button>\n  <button mat-menu-item (click)=\"exporter.exportTable('xlsx', { fileName: exportedName })\">\n    {{ 'xlsx' | uppercase }}\n  </button>\n  <button mat-menu-item (click)=\"exporter.exportTable('csv', { fileName: exportedName })\">\n    {{ 'csv' | uppercase }}\n  </button>\n  <button mat-menu-item (click)=\"exporter.exportTable('txt', { fileName: exportedName })\">\n    {{ 'txt' | uppercase }}\n  </button>\n</mat-menu>\n\n<mat-menu #helpMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"help-menu\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button>\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <mat-drawer-container class=\"help-content\" fxLayout=\"column\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"30px\">\n    <div fxLayout=\"column\" fxLayoutAlign=\"start center\" fxLayoutGap=\"30px\" class=\"p-5\">\n      <div class=\"w-full\">\n        On the graph:\n        <ul class=\"my-3 ml-5 help-list\">\n          <li>zoom out/in: place mouse on the graph and scroll up/down</li>\n          <li>zoom in a specific area: click mouse anywhere on the graph and drag it to draw a square</li>\n          <li>change the axis range: drag the label on x-axis or y-axis</li>\n          <li>show/hide data: click on the corresponding legend</li>\n          <li>show details of each job: hover over the data point</li>\n          <li>go back to default view: double-click on anywhere on the plot</li>\n        </ul>\n        On the table:\n        <ul class=\"mt-3 ml-5 help-list\">\n          <li>Sort: place mouse on the column header to show the sorting arrow</li>\n        </ul>\n      </div>\n    </div>\n  </mat-drawer-container>\n</mat-menu>\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/job-status/job-status.component.scss",
    "content": ".headers-align .mat-expansion-panel-header-title,\n.headers-align .mat-expansion-panel-header-description {\n  flex-basis: 0;\n}\n\n.headers-align .mat-expansion-panel-header-description {\n  justify-content: space-between;\n  align-items: center;\n}\n\n.headers-align .mat-form-field + .mat-form-field {\n  margin-left: 8px;\n}\n\nmat-select {\n  font-size: 18px;\n  padding-top: 10px;\n}\n\n.chart {\n  height: 540px;\n}\n\ntd.mat-cell,\nth.mat-header-cell {\n  text-align: center !important;\n}\n\nth.mat-header-cell > div {\n  justify-content: center !important;\n}\n\nth {\n  max-width: 600px !important;\n}\n\n.mat-sort-header-container {\n  justify-content: center !important;\n}\n\n.mw-150 {\n  min-width: 150px;\n}"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/job-status/job-status.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\nimport { MatTableExporterModule } from 'mat-table-exporter';\n\nimport { JobStatusComponent } from './job-status.component';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\n\ndescribe('JobStatusComponent', () => {\n  let component: JobStatusComponent;\n  let fixture: ComponentFixture<JobStatusComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [\n        NgxsModule.forRoot(),\n        RouterTestingModule,\n        BrowserAnimationsModule,\n        MatTableExporterModule,\n        SharedModule,\n      ],\n      declarations: [JobStatusComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(JobStatusComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/job-status/job-status.component.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable @typescript-eslint/restrict-template-expressions */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\n/* eslint-disable @typescript-eslint/no-unused-expressions */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, OnInit, OnDestroy, ViewChild, ChangeDetectionStrategy, ChangeDetectorRef } from '@angular/core';\nimport { Select, Store } from '@ngxs/store';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { Observable, Subscription, interval } from 'rxjs';\nimport { JobStatus, PlotlyScatterGraph } from '../../store/experiment-state.model';\nimport { MatTableDataSource } from '@angular/material/table';\nimport { MatPaginator } from '@angular/material/paginator';\nimport { MatSort } from '@angular/material/sort';\nimport { ActivatedRoute, Router } from '@angular/router';\nimport {\n  GetJobStatus,\n  GetExperimentHistory,\n  RefreshInterval,\n  ChangeJobsGraphForLabel,\n} from '../../store/experiment.actions';\nimport { MatSlideToggleChange } from '@angular/material/slide-toggle';\nimport { AppState } from '../../../../appStore/app.store';\nimport { Theme } from '../../../../appStore/app-state.model';\nimport { SnackbarService, UtilsService } from '../../../../shared/services';\nimport { startWith, map } from 'rxjs/operators';\nimport { MatSelectChange } from '@angular/material/select';\nimport { Navigate } from '@ngxs/router-plugin';\nimport { PlotlyService } from 'angular-plotly.js';\nimport { GRAPH_COLORS } from '../../../../models/data/graph-colors.data';\nimport { FormControl } from '@angular/forms';\nimport { FirstLetterUppercasePipe } from '../../../../shared/pipes';\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-job-status',\n  templateUrl: './job-status.component.html',\n  styleUrls: ['./job-status.component.scss'],\n})\nexport class JobStatusComponent implements OnInit, OnDestroy {\n  @Select(AppState.theme) theme$: Observable<Theme>;\n  @Select(ExperimentState.jobs) jobs$: Observable<JobStatus[]>;\n  @Select(ExperimentState.jobsGraphData) jobsGraphData$: Observable<PlotlyScatterGraph>;\n  @Select(ExperimentState.jobsOptimizationGraphData) jobsOptimizationGraphData$: Observable<PlotlyScatterGraph>;\n  @Select(ExperimentState.refreshInterval) refreshInterval$: Observable<number>;\n  @Select(ExperimentState.refreshingInterval) refreshingInterval$: Observable<boolean>;\n  @Select(ExperimentState.jobMultipleResulsLabels) jobMultipleResulsLabels$: Observable<string[]>;\n  @Select(ExperimentState.jobMultipleResulsSelectedLabel) jobMultipleResulsSelectedLabel$: Observable<string>;\n\n  @ViewChild(MatPaginator, { static: true }) paginator: MatPaginator;\n  @ViewChild(MatSort, { static: true }) sort: MatSort;\n\n  jobs: JobStatus[];\n  jobMultipleResulsLabels: string[];\n  jobMultipleResulsSelectedLabel: string;\n  experimentId: number;\n  jobsGraphData: PlotlyScatterGraph;\n  jobsOptimizationGraphData: PlotlyScatterGraph;\n  pageSize = 10;\n  subscriptions: Subscription;\n  displayedColumns: string[] = [];\n  displayedHyperparamsColumns: string[] = [];\n  allColumns: string[] = [];\n  columnsToDisplay: string[] = [];\n  dataSource = new MatTableDataSource<any>();\n  tableFullData: { name: string; value: string }[] = [];\n  tableHyperparamsData: { name: string; value: string }[] = [];\n  optimizationCurve = true;\n  refreshInterval: number;\n  refreshIntervalSubscription: Subscription;\n  selectedCols: string[];\n  chartWidth = 600;\n  showInteractionGuide = false;\n  theme: Theme;\n  selectedLabel = new FormControl();\n  yAxisLabel = 'score';\n\n  public linePlot = {\n    data: [],\n    layout: {\n      height: 540,\n      showlegend: true,\n      title: {\n        text: 'Score',\n        font: {\n          family: 'Courier New, monospace',\n          size: 24,\n        },\n        xref: 'paper',\n        x: 0.05,\n      },\n      xaxis: {\n        title: {\n          text: 'x Axis',\n          font: {\n            family: 'Courier New, monospace',\n            size: 18,\n            color: '#7f7f7f',\n          },\n        },\n      },\n      yaxis: {\n        title: {\n          text: 'Y Axis',\n          font: {\n            family: 'Courier New, monospace',\n            size: 18,\n            color: '#7f7f7f',\n          },\n        },\n      },\n    },\n    config: {\n      displayModeBar: false,\n      responsive: true,\n      displaylogo: false,\n      // modeBarButtonsToRemove: PLOTLY_HIDDEN_DISPLAYS,\n      scrollZoom: true,\n    },\n  };\n\n  constructor(\n    readonly store: Store,\n    private route: ActivatedRoute,\n    readonly router: Router,\n    private cdRef: ChangeDetectorRef,\n    private snackbarService: SnackbarService,\n    public plotlyService: PlotlyService,\n    public utilsService: UtilsService\n  ) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    this.subscriptions.add(\n      this.route?.parent?.params.subscribe((params) => {\n        this.experimentId = params['id'];\n        this.selectedCols = [];\n        this.allColumns = [];\n        // if (this.experimentId) {\n        //   this.store.dispatch(new GetJobStatus({ eid: this.experimentId }));\n        //   this.optimizationCurve = false;\n        // }\n      })\n    );\n    this.subscriptions.add(\n      this.jobs$.subscribe((jobs: JobStatus[]) => {\n        if (jobs && jobs.length) {\n          this.jobs = jobs;\n          this.displayedColumns = Object.keys(this.jobs[0].tableData);\n          if (!this.selectedCols || !this.selectedCols.length) {\n            this.selectedCols = this.displayedColumns.slice();\n          }\n          this.displayedHyperparamsColumns = Object.keys(this.jobs[0].tableHyperParams);\n          this.allColumns = this.displayedColumns.concat(this.displayedHyperparamsColumns);\n\n          this.columnsToDisplay = this.selectedCols.slice();\n\n          this.jobs.map((job: JobStatus) => {\n            this.tableHyperparamsData.push(job.tableHyperParams);\n            this.tableFullData.push(job.tableFullData);\n          });\n          // console.log('tableFullData: ', this.tableFullData);\n          this.dataSource.data = this.tableFullData.slice();\n          this.dataSource.paginator = this.paginator;\n          this.dataSource.sort = this.sort;\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.jobsGraphData$.subscribe((jobsGraphData: PlotlyScatterGraph) => {\n        if (jobsGraphData) {\n          this.jobsGraphData = jobsGraphData;\n          this.linePlot.data = [];\n          this.linePlot.data = [this.jobsGraphData];\n          // console.log('jobsGraphData: ', jobsGraphData);\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.jobsOptimizationGraphData$.subscribe((jobsOptimizationGraphData: PlotlyScatterGraph) => {\n        if (jobsOptimizationGraphData) {\n          // console.log('jobsOptimizationGraphData:', jobsOptimizationGraphData);\n          this.jobsOptimizationGraphData = jobsOptimizationGraphData;\n          this.linePlot.data.push(jobsOptimizationGraphData);\n          // console.log('linePlot: ', this.linePlot.data);\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.theme$.subscribe((theme: Theme) => {\n        if (theme) {\n          this.theme = theme;\n          this.toggleChartTheme();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.refreshInterval$.subscribe((rInterval: number) => {\n        if (rInterval) {\n          if (this.refreshIntervalSubscription && rInterval !== this.refreshInterval) {\n            this.refreshIntervalSubscription.unsubscribe();\n          }\n          this.refreshInterval = rInterval;\n          this.refreshIntervalSubscription = this.refreshIntervalData().subscribe();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.refreshingInterval$.subscribe((refreshingInterval: boolean) => {\n        if (refreshingInterval) {\n          this.refreshData();\n          const message = 'Data refreshed!';\n          this.snackbarService.success(message);\n          this.store.dispatch(new RefreshInterval(false));\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.jobMultipleResulsLabels$.subscribe((jobMultipleResulsLabels: string[]) => {\n        this.jobMultipleResulsLabels = jobMultipleResulsLabels;\n        this.cdRef.markForCheck();\n      })\n    );\n    this.subscriptions.add(\n      this.jobMultipleResulsSelectedLabel$.subscribe((jobMultipleResulsSelectedLabel: string) => {\n        this.jobMultipleResulsSelectedLabel = jobMultipleResulsSelectedLabel;\n        this.selectedLabel.patchValue(jobMultipleResulsSelectedLabel);\n        this.cdRef.markForCheck();\n      })\n    );\n  }\n\n  toggleChartTheme(): void {\n    if (!this.theme) {\n      return;\n    }\n    this.theme.name === 'dark'\n      ? (this.linePlot.layout = this.changeDarkModeChart())\n      : (this.linePlot.layout = this.changeLightModeChart());\n    this.cdRef.markForCheck();\n  }\n\n  get exportedName() {\n    return `jobStatus-${new Date().getTime() / 1000}`;\n  }\n\n  selectHyperparams(event: MatSelectChange): void {\n    if (!event) {\n      return;\n    }\n    this.selectedCols = event.value;\n    this.dataSource.data = this.tableFullData.slice();\n    this.selectedCols = this.pushColumnToEnd('start time', this.selectedCols);\n    this.selectedCols = this.pushColumnToEnd('end time', this.selectedCols);\n    if (this.selectedCols) {\n      this.columnsToDisplay = this.selectedCols.slice();\n    } else {\n      this.columnsToDisplay = [];\n    }\n    this.cdRef.markForCheck();\n  }\n\n  pushColumnToEnd(columnName: string, array: string[]): string[] {\n    if (!columnName || !array || !array.length) {\n      return;\n    }\n    const foundIndex = array.findIndex((item) => {\n      return item === columnName;\n    });\n    if (foundIndex !== -1) {\n      array.splice(foundIndex, 1);\n      array.push(columnName);\n    }\n    return array;\n  }\n\n  downloadGraph(): void {\n    const graphDiv = this.plotlyService.getInstanceByDivId('jobStatus');\n    this.plotlyService\n      .getPlotly()\n      .downloadImage(graphDiv, { format: 'png', width: '1000', height: '450', filename: 'jobStatus' });\n  }\n\n  toggleExperiment(event): void {\n    if (!event) {\n      return;\n    }\n    this.experimentId = event;\n    this.cleanData();\n    this.yAxisLabel = 'score';\n    this.toggleChartTheme();\n    this.store.dispatch(new ChangeJobsGraphForLabel(this.yAxisLabel)).subscribe(() => {\n      this.store.dispatch(new GetJobStatus({ eid: this.experimentId }));\n      if (this.optimizationCurve) {\n        this.store.dispatch(new GetExperimentHistory({ eid: this.experimentId }));\n      }\n      // this.router.navigate([`experiment/${event}/job-status`]);\n      this.store.dispatch(new Navigate([`experiment/${event}/job-status`]));\n      this.cdRef.markForCheck();\n    });\n  }\n\n  cleanData(): void {\n    this.optimizationCurve = true;\n    this.columnsToDisplay = [];\n    this.displayedHyperparamsColumns = [];\n    this.tableHyperparamsData = [];\n    this.tableFullData = [];\n  }\n\n  refreshIntervalData(): Observable<any> {\n    if (this.refreshInterval) {\n      return interval(this.refreshInterval * 1000).pipe(\n        startWith(0),\n        map(() => {\n          console.log('Fetching job status data...');\n          this.refreshData();\n        })\n      );\n    }\n  }\n\n  refreshData(): void {\n    this.toggleChartTheme();\n    if (this.experimentId) {\n      this.tableHyperparamsData = [];\n      this.tableFullData = [];\n      this.store.dispatch(new GetJobStatus({ eid: this.experimentId })).subscribe(() => {\n        if (this.optimizationCurve) {\n          this.store.dispatch(new GetExperimentHistory({ eid: this.experimentId }));\n        }\n      });\n    }\n  }\n\n  changeLightModeChart(): any {\n    const flu = new FirstLetterUppercasePipe();\n    return {\n      colorway: GRAPH_COLORS,\n      height: 540,\n      // xaxis: {\n      //   // tickformat: '.0f'\n      // },\n      showlegend: true,\n      xaxis: {\n        zeroline: false,\n        title: {\n          text: 'Number of jobs',\n          font: {\n            size: 18,\n            color: '#7f7f7f',\n          },\n        },\n      },\n      yaxis: {\n        zeroline: false,\n        title: {\n          text: flu.transform(this.yAxisLabel),\n          font: {\n            size: 18,\n            color: '#7f7f7f',\n          },\n        },\n      },\n    };\n  }\n\n  changeDarkModeChart(): any {\n    const flu = new FirstLetterUppercasePipe();\n    return {\n      colorway: GRAPH_COLORS,\n      plot_bgcolor: '#424242',\n      paper_bgcolor: '#424242',\n      height: 540,\n      // title: 'Score',\n      showlegend: true,\n      legend: {\n        font: {\n          color: '#ffffff',\n        },\n      },\n      xaxis: {\n        // tickformat: '.0f',\n        title: {\n          text: 'Number of jobs',\n          font: {\n            size: 18,\n            color: '#ffffff',\n          },\n        },\n        gridcolor: '#c0c0c0',\n        tickfont: {\n          color: '#ffffff',\n        },\n        showline: true,\n        showgrid: true,\n        zeroline: false,\n        showticklabels: true,\n      },\n      yaxis: {\n        title: {\n          text: flu.transform(this.yAxisLabel),\n          font: {\n            size: 18,\n            color: '#ffffff',\n          },\n        },\n        gridcolor: '#c0c0c0',\n        tickfont: {\n          color: '#ffffff',\n        },\n        showline: true,\n        showgrid: true,\n        zeroline: false,\n        showticklabels: true,\n      },\n      line: {\n        color: '#ffffff',\n      },\n    };\n  }\n\n  onToggleChartLine(event: MatSlideToggleChange): void {\n    if (!event) {\n      return;\n    }\n    // this.jobsGraphData.mode = this.optimizationCurve ? 'lines+markers' : 'markers';\n    switch (event.checked) {\n      case true:\n        this.store.dispatch(new GetExperimentHistory({ eid: this.experimentId }));\n        break;\n      case false:\n        this.tableHyperparamsData = [];\n        this.tableFullData = [];\n        this.store.dispatch(new GetJobStatus({ eid: this.experimentId }));\n        break;\n    }\n    this.cdRef.markForCheck();\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n    this.refreshIntervalSubscription.unsubscribe();\n  }\n\n  onResize(event) {\n    if (event) {\n      this.cdRef.markForCheck();\n    }\n  }\n\n  selectLabel(label: string): void {\n    if (!label) {\n      return;\n    }\n    this.yAxisLabel = label;\n    this.cdRef.markForCheck();\n    // this.optimizationCurve = false;\n    this.toggleChartTheme();\n    this.store.dispatch(new ChangeJobsGraphForLabel(label));\n    if (this.optimizationCurve) {\n      this.store.dispatch(new GetExperimentHistory({ eid: this.experimentId }));\n    }\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/list/list.component.html",
    "content": "<div class=\"px-5 mb-5\">\n  <div fxLayout=\"row wrap\" fxLayoutAlign=\"space-between center\">\n    <div fxLayout=\"row\" fxLayoutAlign=\"start center\">\n      <h1 class=\"mat-display-1 mt-0 mb-0 mr-2\">Experiments</h1>\n      <mat-form-field appearance=\"outline\" class=\"mr-2 mt-4\">\n        <mat-label>Search</mat-label>\n        <input type=\"text\" matInput placeholder=\"Experiment name\" [formControl]=\"searchStr\" />\n        <mat-icon *ngIf=\"searchStr.value !== null && searchStr.value !== ''\" matSuffix class=\"cursor-pointer\"\n          (click)=\"clearSearch()\">clear\n        </mat-icon>\n        <mat-icon *ngIf=\"searchStr.value === null || searchStr.value === ''\" matSuffix>search</mat-icon>\n      </mat-form-field>\n      <mat-form-field appearance=\"outline\" class=\"mr-2 mt-4\">\n        <mat-label>Sort by</mat-label>\n        <mat-select [formControl]=\"sortOption\" name=\"sortOption\" (selectionChange)=\"onSortOption($event)\">\n          <mat-option *ngFor=\"let sort of sortOptions\" [value]=\"sort\">\n            {{ sort | flu }}\n          </mat-option>\n        </mat-select>\n      </mat-form-field>\n      <mat-button-toggle-group class=\"sort-toggle mr-2\" name=\"fontStyle\" [value]=\"sortDirectionType\"\n        (change)=\"onSortDirection($event)\">\n        <mat-button-toggle [value]=\"sortDirections[0]\">\n          <mat-icon [color]=\"sortDirectionType === sortDirections[0] ? 'primary' : ''\">north</mat-icon>\n        </mat-button-toggle>\n        <mat-button-toggle [value]=\"sortDirections[1]\">\n          <mat-icon [color]=\"sortDirectionType === sortDirections[1] ? 'primary' : ''\">south</mat-icon>\n        </mat-button-toggle>\n      </mat-button-toggle-group>\n      <button mat-icon-button [color]=\"(experimentViewType$ | async) === VIEW_TYPE.LIST ? 'primary' : ''\"\n        (click)=\"changeDisplayView(VIEW_TYPE.LIST)\">\n        <mat-icon class=\"view-toggle\">menu</mat-icon>\n      </button>\n      <button mat-icon-button [color]=\"(experimentViewType$ | async) === VIEW_TYPE.CARD ? 'primary' : ''\"\n        (click)=\"changeDisplayView(VIEW_TYPE.CARD)\">\n        <mat-icon class=\"view-toggle\">view_module</mat-icon>\n      </button>\n    </div>\n    <div fxLayout=\"row wrap\" fxLayoutAlign=\"start center\">\n      <button\n        *ngIf=\"dataSourceResource.data && dataSourceResource.data?.length > 0 && (resources$ | async); else noData\"\n        mat-button [matMenuTriggerFor]=\"resourcesMenu\">\n        <mat-icon class=\"mr-3\">settings</mat-icon>\n        {{ 'Resources' | uppercase }}\n      </button>\n      <button mat-button (click)=\"helperService.redirectTo('initialize')\">\n        <mat-icon class=\"mr-3\" svgIcon=\"database\"></mat-icon>\n        {{ 'Reset Auptimizer Environment' | uppercase }}\n      </button>\n      <button mat-button (click)=\"helperService.redirectTo('create')\">\n        <mat-icon class=\"mr-3\" svgIcon=\"bulb\"></mat-icon>\n        {{ 'Create new experiment' | uppercase }}\n      </button>\n    </div>\n  </div>\n  <div *ngIf=\"(loadingAllExperiments$ | async) && (experiments$ | async)?.length === 0\" fxLayout=\"row\"\n    fxLayoutAlign=\"center center\" class=\"p-10\">\n    <mat-spinner color=\"accent\" [diameter]=\"100\" class=\"mt-10\"></mat-spinner>\n  </div>\n  <div class=\"w-full\" fxLayout=\"column\">\n    <div *ngIf=\"(loadingAllExperiments$ | async) === false && (experiments$ | async)?.length === 0\" fxLayout=\"row\"\n      class=\"w-full\">\n      <p class=\"font-medium\" *ngIf=\"!experiments ||( experiments && experiments.length === 0)\">No experiments created!\n      </p>\n    </div>\n    <ng-container *ngIf=\"experiments && experiments.length\">\n      <div *ngIf=\"(experimentViewType$ | async) === VIEW_TYPE.CARD\" fxLayout=\"row wrap\" fxLayoutAlign>\n        <mat-card class=\"py-3 px-4 experiment-card mt-3 mr-3\" fxFlex=\"calc(25% - 20px)\"\n          *ngFor=\"let experiment of experiments | paginate: { itemsPerPage: pageSize, currentPage: page }\">\n          <div class=\"w-full experiment-card-header mat-title mb-2\" fxLayoutAlign=\"start center\">\n            <div fxLayout=\"row\" fxLayoutAlign=\"start center\" fxFlex=\"1 1 auto\" fxLayoutGap=\"15px\">\n              <div>{{ experiment.eid }}</div>\n              <div class=\"elipsis-card-title\" [matTooltip]=\"experiment.experimentName || experiment.scriptName\">{{\n                experiment.experimentName || experiment.scriptName }}\n              </div>\n            </div>\n            <div>\n              <button mat-icon-button class=\"actionable\" matTooltip=\"Create experiment from copy\"\n                (click)=\"helperService.redirectTo('create', experiment.eid)\">\n                <mat-icon svgIcon=\"copy\"></mat-icon>\n              </button>\n              <button [disabled]=\"\n                  experiment.status === EXPERIMENT_STATUS.RUNNING || experiment.status === EXPERIMENT_STATUS.STOPPING || experiment.status === EXPERIMENT_STATUS.REQUEST_STOP\n                \" mat-icon-button matTooltip=\"Delete experiment\" class=\"actionable-warn\"\n                (click)=\"deleteExperiment(experiment.eid)\">\n                <mat-icon>delete</mat-icon>\n              </button>\n            </div>\n          </div>\n          <hr />\n          <mat-card-content fxLayout=\"column\" fxLayoutGap=\"15px\" class=\"mt-3\">\n            <div fxLayout=\"row\" fxLayoutAlign=\"start center\">\n              <div class=\"w-130 color-gray\">Script Name:</div>\n              <div class=\"color-text-primary font-medium\" [matTooltip]=\"experiment.scriptName\">\n                {{experiment.scriptName | truncate:[25, '...']}}\n              </div>\n            </div>\n            <div fxLayout=\"row\" fxLayoutAlign=\"start center\">\n              <div class=\"w-130 color-gray\">Status:</div>\n              <div class=\"color-text-primary font-medium\" fxLayout=\"row\" fxLayoutAlign=\"start center\">\n                <span *ngIf=\"experiment.status\">{{ experiment.status | lowercase | flu }}</span>\n                <span *ngIf=\"!experiment.status\">{{ EXPERIMENT_STATUS.FINISHED | lowercase | flu }}</span>\n                <button *ngIf=\"experiment.status === EXPERIMENT_STATUS.FAILED\" mat-icon-button color=\"warn\"\n                  matTooltip=\"Click to show error details\" class=\"error-icon\" (click)=\"showErrorDetails(experiment)\">\n                  <mat-icon>error</mat-icon>\n                </button>\n              </div>\n            </div>\n            <div fxLayout=\"row\" fxLayoutAlign=\"start center\">\n              <div class=\"w-130 color-gray\">Start Time:</div>\n              <div class=\"color-text-primary font-medium\" *ngIf=\"experiment.startTime && experiment.startTime !== -1\">\n                {{ experiment.startTime * 1000 | date: 'short' }}\n              </div>\n              <div class=\"color-text-primary font-medium\" *ngIf=\"experiment.startTime === null\">NA</div>\n            </div>\n            <div fxLayout=\"row\" fxLayoutAlign=\"start center\">\n              <div class=\"w-130 color-gray\">End Time:</div>\n              <div class=\"color-text-primary font-medium\" *ngIf=\"experiment.endTime && experiment.endTime !== -1\">\n                {{ experiment.endTime * 1000 | date: 'short' }}\n              </div>\n              <div class=\"color-text-primary font-medium\" *ngIf=\"experiment.endTime === null\">NA</div>\n            </div>\n            <div fxLayout=\"row\" fxLayoutAlign=\"start center\">\n              <div class=\"w-130 color-gray\">Best Result:</div>\n              <div class=\"color-text-primary font-medium\">\n                {{ experiment.bestScore !== null ? (experiment.bestScore | roundNumber) : 'NA' }}\n              </div>\n            </div>\n          </mat-card-content>\n          <hr />\n          <mat-card-actions class=\"w-full p-0 m-0 mt-3\" fxLayoutAlign=\"space-between center\">\n            <div fxFlex=\"1 0 auto\" [ngSwitch]=\"experiment.status\">\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.CREATED\">\n                <button class=\"mr-3\" mat-button (click)=\"startExperiment(experiment)\">\n                  <mat-icon>play_arrow</mat-icon>\n                  {{ 'Start' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.RUNNING\">\n                <button class=\"mr-3\" mat-button (click)=\"stopExperiment(experiment.eid)\">\n                  <mat-icon>stop</mat-icon>\n                  {{ 'Stop' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.STOPPED\">\n                <button class=\"mr-3\" mat-button (click)=\"startExperiment(experiment)\">\n                  <mat-icon>replay</mat-icon>\n                  {{ 'Restart' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.FINISHED\">\n                <button class=\"mr-3\" mat-button (click)=\"startExperiment(experiment)\">\n                  <mat-icon>replay</mat-icon>\n                  {{ 'Restart' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.FAILED\">\n                <button class=\"mr-3\" mat-button (click)=\"startExperiment(experiment)\">\n                  <mat-icon>replay</mat-icon>\n                  {{ 'Restart' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.STOPPING\">\n                {{ 'Stopping' | uppercase }}\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.REQUEST_STOP\">\n                {{ 'Stopping' | uppercase }}\n              </span>\n            </div>\n            <div>\n              <button class=\"m-0 ml-2\" *ngIf=\"experiment.expConfig\" mat-raised-button color=\"primary\"\n                (click)=\"showConfig(experiment)\">\n                {{ 'Config' | uppercase }}\n              </button>\n              <button class=\"m-0 ml-2\" mat-raised-button color=\"accent\" (click)=\"onDetails(experiment.eid)\">\n                {{ 'Results' | uppercase }}\n              </button>\n            </div>\n          </mat-card-actions>\n        </mat-card>\n      </div>\n      <div *ngIf=\"(experimentViewType$ | async) === VIEW_TYPE.LIST\" fxLayout=\"column\" fxLayoutAlign=\"start\"\n        class=\"w-full\">\n        <mat-card class=\"py-3 px-4 experiment-list-card mt-3 w-full\"\n          *ngFor=\"let experiment of experiments | paginate: { itemsPerPage: pageSize, currentPage: page }\"\n          fxLayout=\"row\" fxLayout.md=\"column\" fxLayout.lt-md=\"column\" fxLayoutAlign=\"start\" fxLayoutAlign.lt-md=\"start\"\n          fxLayoutAlign.md=\"start\" fxLayoutGap.md=\"20px\" fxLayoutGap.lt-md=\"20px\">\n          <div fxFlex=\"25\" fxFlex.lt-md=\"100\" fxLayout=\"row\" fxLayoutAlign=\"start center\" fxFlex=\"1 1 auto\"\n            fxLayoutGap=\"25px\">\n            <div fxFlex.gt-md=\"1 1 auto\" fxLayout=\"row\" fxLayoutAlign=\"start start\" fxLayoutGap=\"15px\"\n              class=\"mat-title mb-0\">\n              <div>{{ experiment.eid }}</div>\n              <div class=\"elipsis-title\" [matTooltip]=\"experiment.experimentName || experiment.scriptName\">{{\n                experiment.experimentName || experiment.scriptName }}</div>\n            </div>\n            <div fxLayout=\"row\" fxLayoutAlign=\"end center\">\n              <button class=\"m-2\" *ngIf=\"experiment.expConfig\" mat-raised-button color=\"primary\"\n                (click)=\"showConfig(experiment)\">\n                {{ 'Config' | uppercase }}\n              </button>\n              <button class=\"m-2\" mat-raised-button color=\"accent\" (click)=\"onDetails(experiment.eid)\">\n                {{ 'Results' | uppercase }}\n              </button>\n            </div>\n          </div>\n          <div fxFlex=\"55\" fxFlex.md=\"100\" fxFlex.lt-md=\"100\" fxLayout=\"row\" fxLayoutAlign=\"space-around center\"\n            fxLayoutAlign.md=\"start\" fxLayoutAlign.lt-md=\"start\" ngClass.md=\"w-full\" ngClass.lt-md=\"w-full\"\n            fxLayoutGap=\"15px\">\n            <div fxFlex=\"12\" fxFlex.md=\"20\" fxFlex.lt-md=\"20\" fxLayout=\"column\" fxLayoutAlign=\"start start\">\n              <div class=\"color-gray\">Best Result:</div>\n              <div class=\"color-text-primary font-medium\">\n                {{ experiment.bestScore !== null ? (experiment.bestScore | roundNumber) : 'NA' }}\n              </div>\n            </div>\n            <div fxFlex=\"15\" fxFlex.md=\"20\" fxFlex.lt-md=\"20\" fxLayout=\"column\" fxLayoutAlign=\"start start\">\n              <div class=\"color-gray\">Script Name:</div>\n              <div class=\"color-text-primary font-medium elipsis-title\" [matTooltip]=\"experiment.scriptName\">\n                {{ experiment.scriptName }}\n              </div>\n            </div>\n            <div fxFlex=\"12\" fxFlex.md=\"20\" fxFlex.lt-md=\"20\" fxLayout=\"column\" fxLayoutAlign=\"start start\">\n              <div class=\"color-gray\">Status:</div>\n              <div class=\"color-text-primary font-medium\" fxLayout=\"row\" fxLayoutAlign=\"start center\">\n                <span *ngIf=\"experiment.status\">{{ experiment.status | lowercase | flu }}</span>\n                <span *ngIf=\"!experiment.status\">{{ EXPERIMENT_STATUS.FINISHED | lowercase | flu }}</span>\n                <button *ngIf=\"experiment.status === EXPERIMENT_STATUS.FAILED\" mat-icon-button color=\"warn\"\n                  matTooltip=\"Click to show error details\" class=\"error-icon\" (click)=\"showErrorDetails(experiment)\">\n                  <mat-icon>error</mat-icon>\n                </button>\n              </div>\n            </div>\n            <div fxFlex=\"17\" fxFlex.md=\"20\" fxFlex.lt-md=\"20\" fxLayout=\"column\" fxLayoutAlign=\"start start\">\n              <div class=\"color-gray\">Start Time:</div>\n              <div class=\"color-text-primary font-medium\" *ngIf=\"experiment.startTime && experiment.startTime !== -1\">\n                {{ experiment.startTime * 1000 | date: 'short' }}\n              </div>\n              <div class=\"color-text-primary font-medium\" *ngIf=\"experiment.startTime === null\">NA</div>\n            </div>\n            <div fxFlex=\"17\" fxFlex.md=\"20\" fxFlex.lt-md=\"20\" fxLayout=\"column\" fxLayoutAlign=\"start start\">\n              <div class=\"color-gray\">End Time:</div>\n              <div class=\"color-text-primary font-medium\" *ngIf=\"experiment.endTime && experiment.endTime !== -1\">\n                {{ experiment.endTime * 1000 | date: 'short' }}\n              </div>\n              <div class=\"color-text-primary font-medium\" *ngIf=\"experiment.endTime === null\">NA</div>\n            </div>\n          </div>\n          <div fxFlex=\"15\" fxFlex.md=\"100\" fxFlex.lt-md=\"100\" fxLayout=\"row\" fxLayoutAlign=\"end center\"\n            fxLayoutAlign.md=\"start center\" fxLayoutAlign.lt-md=\"start center\">\n            <div fxFlex.gt-md=\"1 1 auto\" [ngSwitch]=\"experiment.status\">\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.CREATED\">\n                <button mat-button (click)=\"startExperiment(experiment)\">\n                  <mat-icon>play_arrow</mat-icon>\n                  {{ 'Start' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.RUNNING\">\n                <button mat-button (click)=\"stopExperiment(experiment.eid)\">\n                  <mat-icon>stop</mat-icon>\n                  {{ 'Stop' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.STOPPED\">\n                <button mat-button (click)=\"startExperiment(experiment)\">\n                  <mat-icon>replay</mat-icon>\n                  {{ 'Restart' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.FINISHED\">\n                <button mat-button (click)=\"startExperiment(experiment)\">\n                  <mat-icon>replay</mat-icon>\n                  {{ 'Restart' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.FAILED\">\n                <button mat-button (click)=\"startExperiment(experiment)\">\n                  <mat-icon>replay</mat-icon>\n                  {{ 'Restart' | uppercase }}\n                </button>\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.STOPPING\">\n                {{ 'Stopping' | uppercase }}\n              </span>\n              <span *ngSwitchCase=\"EXPERIMENT_STATUS.REQUEST_STOP\">\n                {{ 'Stopping' | uppercase }}\n              </span>\n            </div>\n            <div>\n              <button mat-icon-button class=\"actionable\" matTooltip=\"Create experiment from copy\"\n                (click)=\"helperService.redirectTo('create', experiment.eid)\">\n                <mat-icon svgIcon=\"copy\"></mat-icon>\n              </button>\n              <button [disabled]=\"\n                  experiment.status === EXPERIMENT_STATUS.RUNNING || experiment.status === EXPERIMENT_STATUS.STOPPING || experiment.status === EXPERIMENT_STATUS.REQUEST_STOP\n                \" mat-icon-button matTooltip=\"Delete experiment\" [class]=\"\n                  experiment.status === EXPERIMENT_STATUS.RUNNING || experiment.status === EXPERIMENT_STATUS.STOPPING || experiment.status === EXPERIMENT_STATUS.REQUEST_STOP\n                    ? ''\n                    : 'actionable-warn'\n                \" (click)=\"deleteExperiment(experiment.eid)\">\n                <mat-icon>delete</mat-icon>\n              </button>\n            </div>\n          </div>\n        </mat-card>\n      </div>\n    </ng-container>\n    <div class=\"w-full pt-5\" fxLayoutAlign=\"end center\">\n      <pagination-controls previousLabel=\"\" directionLinks=\"true\" nextLabel=\"\" (pageChange)=\"page = $event\">\n      </pagination-controls>\n    </div>\n  </div>\n</div>\n\n<ng-template #showConfigDialog let-data>\n  <div class=\"info-dialog-title w-full p-3 bg-primary text-white\" fxLayout=\"row\" fxLayoutAlign=\"space-between center\">\n    <div class=\"w-full exp-config-title\">{{ data.name }}</div>\n    <button mat-icon-button matDialogClose>\n      <mat-icon>close</mat-icon>\n    </button>\n  </div>\n  <div class=\"info-dialog-content p-3\">\n    <pre>{{ data.config | json }}</pre>\n  </div>\n</ng-template>\n\n<ng-template #showErrorDialog let-data>\n  <div class=\"info-dialog-title w-full p-3 bg-primary text-white\" fxLayout=\"row\" fxLayoutAlign=\"space-between center\">\n    <div class=\"w-full exp-config-title\">{{ data.name }}</div>\n    <button mat-icon-button matDialogClose>\n      <mat-icon>close</mat-icon>\n    </button>\n  </div>\n  <div class=\"info-dialog-content m-3\">\n    <pre>{{ data.message }}</pre>\n  </div>\n</ng-template>\n\n<ng-template #startExperimentDialog>\n  <div fxLayout=\"column\" fxLayoutGap=\"30px\">\n    <form [formGroup]=\"startExperimentForm\" #f=\"ngForm\" #formDirective=\"ngForm\" (ngSubmit)=\"onConfirmStartExperiment(f)\"\n      class=\"w-full\">\n      <mat-dialog-content>\n        <mat-form-field appearance=\"outline\" class=\"w-full mb-4\">\n          <mat-label>\n            Current working directory\n          </mat-label>\n          <input type=\"text\" matInput placeholder=\"CWD\" formControlName=\"cwd\" />\n          <mat-error>Missing field</mat-error>\n        </mat-form-field>\n        <mat-dialog-actions fxLayout=\"row\" fxLayoutAlign=\"center start\" fxLayoutGap=\"10px\" class=\"mb-3\">\n          <button class=\"mat-raised-button\" matDialogClose (click)=\"onExpCancel()\">Cancel</button>\n          <button type=\"submit\" [disabled]=\"!startExperimentForm.valid\" matDialogClose mat-raised-button color=\"accent\">\n            Start\n          </button>\n        </mat-dialog-actions>\n      </mat-dialog-content>\n    </form>\n  </div>\n</ng-template>\n\n<mat-menu #resourcesMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"resources-menu p-3 bg-primary text-white\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button>\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <div class=\"resources-menu-content\" *ngIf=\"dataSourceResource.data && dataSourceResource.data?.length > 0\"\n    (click)=\"$event.stopPropagation()\">\n    <div class=\"table-container w-full\">\n      <table fxFill mat-table [dataSource]=\"dataSourceResource\" multiTemplateDataRows\n        (matSortChange)=\"sortResourceData($event)\" matSort matSortDisableClear class=\"mat-elevation-z3 w-full\">\n        <ng-container matColumnDef=\"{{ RESOURCE_COLUMNS.ID }}\">\n          <th mat-header-cell mat-sort-header *matHeaderCellDef>\n            {{ RESOURCE_COLUMNS.ID }}\n          </th>\n          <td mat-cell *matCellDef=\"let element\">\n            <span *ngIf=\"element.rid\">{{ element.rid }}</span>\n          </td>\n        </ng-container>\n        <ng-container matColumnDef=\"{{ RESOURCE_COLUMNS.NAME }}\">\n          <th mat-header-cell mat-sort-header *matHeaderCellDef>\n            {{ RESOURCE_COLUMNS.NAME }}\n          </th>\n          <td mat-cell *matCellDef=\"let element\">\n            <span *ngIf=\"element.name\">{{ element.name }}</span>\n          </td>\n        </ng-container>\n        <ng-container matColumnDef=\"{{ RESOURCE_COLUMNS.STATUS }}\">\n          <th mat-header-cell mat-sort-header *matHeaderCellDef>\n            {{ RESOURCE_COLUMNS.STATUS }}\n          </th>\n          <td mat-cell *matCellDef=\"let element\">\n            <span *ngIf=\"element.status\">{{ element.status }}</span>\n          </td>\n        </ng-container>\n        <ng-container matColumnDef=\"{{ RESOURCE_COLUMNS.TYPE }}\">\n          <th mat-header-cell mat-sort-header *matHeaderCellDef>\n            {{ RESOURCE_COLUMNS.TYPE }}\n          </th>\n          <td mat-cell *matCellDef=\"let element\">\n            <span *ngIf=\"element.type\">{{ element.type }}</span>\n          </td>\n        </ng-container>\n\n        <tr mat-header-row *matHeaderRowDef=\"displayedResourceColumns; sticky: true\"></tr>\n        <tr mat-row *matRowDef=\"let row; columns: displayedResourceColumns\"></tr>\n      </table>\n    </div>\n    <mat-paginator #paginatorResource class=\"mat-elevation-z3\"\n      [style.display]=\"dataSourceResource.data?.length > 0 && (resources$ | async) ? 'block' : 'none'\"\n      [pageSize]=\"pageSize\" showFirstLastButtons>\n    </mat-paginator>\n  </div>\n</mat-menu>\n\n<ng-template #noData>\n  <h1 class=\"mat-title text-primary\">No resource data available!</h1>\n</ng-template>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/list/list.component.scss",
    "content": ".experiment-card {\n  min-width: 430px !important;\n  max-width: 430px !important;\n  mat-card-content > * {\n    font-size: 16px;\n  }\n}\n\n.elipsis-title {\n  width: 170px !important;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n}\n\n.elipsis-card-title {\n  max-width: 200px;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n}\n\n.view-toggle {\n  height: 30px;\n  width: 30px;\n  font-size: 30px;\n  line-height: 30px;\n}\n\n.experiment-list-card {\n  mat-card-content > * {\n    font-size: 16px;\n  }\n}\n\n.error-icon {\n  font-size: 18px;\n  width: 18px;\n  height: 18px;\n  line-height: 18px;\n  margin-left: 10px;\n  margin-top: -7px;\n}\n\n.mat-header-cell {\n  text-transform: uppercase;\n}\n\n::ng-deep .mat-dialog-container {\n  padding: 0 !important;\n  overflow: unset !important;\n}\n\n.minw-200 {\n  min-width: 200px;\n}\n\n.minw-300 {\n  min-width: 300px;\n}\n\n.w-130 {\n  width: 130px;\n  max-width: 130px;\n}\n\n.resources-menu {\n  height: 50px;\n}\n\n.resources-menu-content {\n  width: 600px;\n}\n\n::ng-deep .mat-tooltip {\n  word-break: break-all !important;\n  white-space: normal !important;\n}\n\n.exp-config-title {\n  white-space: normal;\n  word-break: break-all;\n}"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/list/list.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\nimport { ExperimentState } from '../../store/experiment.store';\n\nimport { ListComponent } from './list.component';\n\ndescribe('ListComponent', () => {\n  let component: ListComponent;\n  let fixture: ComponentFixture<ListComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot([ExperimentState]), RouterTestingModule, SharedModule, BrowserAnimationsModule],\n      declarations: [ListComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(ListComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/list/list.component.ts",
    "content": "/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/unbound-method */\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/naming-convention */\nimport {\n  Component,\n  OnInit,\n  ChangeDetectionStrategy,\n  ViewChild,\n  OnDestroy,\n  ChangeDetectorRef,\n  TemplateRef,\n} from '@angular/core';\nimport { Store, Select } from '@ngxs/store';\nimport { Observable, Subscription } from 'rxjs';\nimport { MatPaginator } from '@angular/material/paginator';\nimport { MatSort, Sort } from '@angular/material/sort';\nimport { MatTableDataSource } from '@angular/material/table';\nimport { Experiment } from '../../../../models/experiment.model';\nimport { Resource } from '../../../../models/resource.model';\nimport { MatDialog, MatDialogRef } from '@angular/material/dialog';\nimport { ExperimentState } from '../../store/experiment.store';\nimport {\n  DeleteExperiment,\n  GetExperiments,\n  SetExperimentDisplayView,\n  StartExperiment,\n  StopExperiment,\n} from '../../store/experiment.actions';\nimport { FormGroup, FormBuilder, Validators, FormGroupDirective, FormControl } from '@angular/forms';\nimport { StartExperimentModel } from '../../store/experiment-state.model';\nimport { HelperService, UtilsService } from '../../../../shared/services';\nimport { EXPERIMENT_STATUS } from '../../../../models/enum/experiment-status.enum';\nimport { ConfirmDialogComponent } from '../../../../shared/dialogs/confirm/confirm-dialog.component';\nimport { MatSelectChange } from '@angular/material/select';\nimport { debounceTime, distinctUntilChanged } from 'rxjs/operators';\nimport { EXPERIMENT_VIEW_TYPE } from '../../../../models/enum/experiment-view-type.enum';\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-list',\n  templateUrl: './list.component.html',\n  styleUrls: ['./list.component.scss'],\n})\nexport class ListComponent implements OnInit, OnDestroy {\n  @Select(ExperimentState.experiments) experiments$: Observable<Experiment[]>;\n  @Select(ExperimentState.resources) resources$: Observable<Resource[]>;\n  @Select(ExperimentState.loadingAllExperiments) loadingAllExperiments$: Observable<boolean>;\n  @Select(ExperimentState.experimentViewType) experimentViewType$: Observable<EXPERIMENT_VIEW_TYPE>;\n\n  @ViewChild('paginatorExperiment', { static: true }) paginatorExperiment: MatPaginator;\n  @ViewChild(MatSort, { static: true }) sortExperiment: MatSort;\n\n  @ViewChild('paginatorResource', { static: true }) paginatorResource: MatPaginator;\n  @ViewChild(MatSort, { static: true }) sortResource: MatSort;\n\n  @ViewChild('showConfigDialog', { static: true }) showConfigDialog: TemplateRef<any>;\n  @ViewChild('showErrorDialog', { static: true }) showErrorDialog: TemplateRef<any>;\n  @ViewChild('startExperimentDialog', { static: true }) startExperimentDialog: TemplateRef<any>;\n\n  showConfigDialogRef;\n  showErrorDialogRef;\n  readonly EXPERIMENT_COLUMNS = {\n    ID: 'ID',\n    EXPERIMENT_NAME: 'Experiment Name',\n    SCRIPT_NAME: 'Script Name',\n    END_TIME: 'End Time',\n    STATUS: 'Status',\n    CONFIG: 'Config',\n    START_TIME: 'Start Time',\n    DETAILS: 'Details',\n    ACTION: 'Action',\n    CREATE: 'Create',\n    DELETE: 'Delete',\n  };\n  displayedExperimentColumns = [\n    this.EXPERIMENT_COLUMNS.ID,\n    this.EXPERIMENT_COLUMNS.EXPERIMENT_NAME,\n    this.EXPERIMENT_COLUMNS.SCRIPT_NAME,\n    this.EXPERIMENT_COLUMNS.CONFIG,\n    this.EXPERIMENT_COLUMNS.START_TIME,\n    this.EXPERIMENT_COLUMNS.END_TIME,\n    this.EXPERIMENT_COLUMNS.STATUS,\n    this.EXPERIMENT_COLUMNS.DETAILS,\n    this.EXPERIMENT_COLUMNS.ACTION,\n    this.EXPERIMENT_COLUMNS.CREATE,\n    this.EXPERIMENT_COLUMNS.DELETE,\n  ];\n  readonly RESOURCE_COLUMNS = {\n    ID: 'ID',\n    NAME: 'Name',\n    STATUS: 'Status',\n    TYPE: 'Type',\n  };\n  displayedResourceColumns = [\n    this.RESOURCE_COLUMNS.ID,\n    this.RESOURCE_COLUMNS.NAME,\n    this.RESOURCE_COLUMNS.STATUS,\n    this.RESOURCE_COLUMNS.TYPE,\n  ];\n  dataSourceResource: MatTableDataSource<Resource> = new MatTableDataSource<Resource>();\n  confirmDialogRef: MatDialogRef<ConfirmDialogComponent>;\n  subscriptions: Subscription;\n  pageSize = 8;\n  page = 1;\n\n  VIEW_TYPE = EXPERIMENT_VIEW_TYPE;\n\n  sortOptions = [\n    this.EXPERIMENT_COLUMNS.ID,\n    this.EXPERIMENT_COLUMNS.EXPERIMENT_NAME,\n    this.EXPERIMENT_COLUMNS.SCRIPT_NAME,\n    this.EXPERIMENT_COLUMNS.START_TIME,\n    this.EXPERIMENT_COLUMNS.END_TIME,\n    this.EXPERIMENT_COLUMNS.STATUS,\n  ];\n  sortOption = new FormControl(this.EXPERIMENT_COLUMNS.ID);\n  searchStr = new FormControl();\n  sortDirectionType: 'asc' | 'desc' = 'desc';\n  sortDirections: ('asc' | 'desc')[] = ['asc', 'desc'];\n\n  startExperimentDialogRef;\n  startExperimentForm: FormGroup;\n  selectedStartExperiment: number;\n  EXPERIMENT_STATUS = EXPERIMENT_STATUS;\n  showResources = false;\n  experiments: Experiment[];\n  allExperiments: Experiment[];\n  resources: Resource[];\n  sort: Sort;\n\n  constructor(\n    readonly store: Store,\n    private cdRef: ChangeDetectorRef,\n    public dialog: MatDialog,\n    private fb: FormBuilder,\n    private utilsService: UtilsService,\n    public helperService: HelperService\n  ) {}\n\n  ngOnInit(): void {\n    this.store.dispatch(new GetExperiments());\n    this.subscriptions = new Subscription();\n    this.startExperimentForm = this.fb.group({\n      cwd: ['', [Validators.required]],\n    });\n    this.subscriptions.add(\n      this.experiments$.subscribe((experiments: Experiment[]) => {\n        if (!this.searchStr.value) {\n          this.experiments =\n            experiments && experiments.length\n              ? experiments.slice().sort((a, b) => this.utilsService.compare(a.eid, b.eid, false))\n              : null;\n        }\n        this.allExperiments =\n          experiments && experiments.length\n            ? experiments.slice().sort((a, b) => this.utilsService.compare(a.eid, b.eid, false))\n            : null;\n        if (this.sort) {\n          this.sortExperimentData();\n        }\n        this.cdRef.markForCheck();\n      })\n    );\n    this.subscriptions.add(\n      this.resources$.subscribe((resources: Resource[]) => {\n        this.dataSourceResource.data = resources && resources.length ? resources.slice() : null;\n        this.resources = resources && resources.length ? resources.slice() : null;\n        this.dataSourceResource.paginator = this.paginatorResource;\n        this.dataSourceResource.sort = this.sortResource;\n        this.cdRef.markForCheck();\n      })\n    );\n    this.subscriptions.add(\n      this.searchStr.valueChanges.pipe(debounceTime(300), distinctUntilChanged()).subscribe((searchValue) => {\n        const searchable = this.utilsService.trimString(searchValue);\n        this.searchStringInExperiments(searchable);\n      })\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n  }\n\n  clearSearch(): void {\n    this.searchStr.setValue('');\n  }\n\n  changeDisplayView(display: EXPERIMENT_VIEW_TYPE): void {\n    if (!display) {\n      return;\n    }\n    this.store.dispatch(new SetExperimentDisplayView(display));\n  }\n\n  showConfig(experiment: Experiment): void {\n    if (!experiment) {\n      // show notification that no config is available\n      return;\n    }\n    const config = JSON.parse(experiment.expConfig);\n    this.showConfigDialogRef = this.dialog.open(this.showConfigDialog, {\n      width: '650px',\n      data: { name: experiment.experimentName, config },\n      panelClass: 'info-modal',\n    });\n    this.subscriptions.add(this.showConfigDialogRef.afterClosed().subscribe());\n  }\n\n  showErrorDetails(experiment: Experiment): void {\n    if (!experiment || !experiment.errorMsg) {\n      // show notification that no config is available\n      return;\n    }\n    this.showErrorDialogRef = this.dialog.open(this.showErrorDialog, {\n      width: '650px',\n      data: { name: experiment.experimentName, message: experiment.errorMsg },\n      panelClass: 'info-modal',\n    });\n    this.subscriptions.add(this.showErrorDialogRef.afterClosed().subscribe());\n  }\n\n  startExperiment(experiment: Experiment): void {\n    if (!experiment || !experiment.expConfigDetails.workingdir) {\n      return;\n    }\n    const startExperimentData: StartExperimentModel = {\n      eid: experiment.eid,\n    };\n    this.store.dispatch(new StartExperiment(startExperimentData));\n    // this.selectedStartExperiment = eid;\n    // this.startExperimentDialogRef = this.dialog.open(this.startExperimentDialog, {\n    //   width: '400px',\n    //   disableClose: true,\n    // });\n    // this.subscriptions.add(this.startExperimentDialogRef.afterClosed().subscribe());\n  }\n\n  onConfirmStartExperiment(formDirective?: FormGroupDirective): void {\n    if (!this.startExperimentForm.valid) {\n      return;\n    }\n    const startExperimentData: StartExperimentModel = {\n      eid: this.selectedStartExperiment,\n    };\n    this.store.dispatch(new StartExperiment(startExperimentData));\n    formDirective.resetForm();\n    this.startExperimentForm.reset();\n  }\n\n  stopExperiment(eid: number): void {\n    if (!eid) {\n      return;\n    }\n    this.store.dispatch(new StopExperiment(eid));\n  }\n\n  onExpCancel(): void {\n    this.startExperimentForm.reset();\n  }\n\n  onDetails(eid: number): void {\n    if (!eid) {\n      return;\n    }\n    this.helperService.redirectTo('/experiment', eid);\n  }\n\n  onSortOption(event: MatSelectChange): void {\n    if (!event.value) {\n      return;\n    }\n    this.sort = {\n      active: event.value,\n      direction: this.sortDirectionType,\n    };\n    this.sortExperimentData();\n  }\n\n  onSortDirection(event: MatSelectChange): void {\n    if (!event.value) {\n      return;\n    }\n    this.sortDirectionType = event.value;\n    this.sort = {\n      active: this.sortOption.value,\n      direction: event.value,\n    };\n    this.sortExperimentData();\n  }\n\n  sortExperimentData(): boolean {\n    const sort = this.sort;\n    const data = this.allExperiments.slice();\n    if (!sort.active || sort.direction === '') {\n      this.experiments = data;\n      return;\n    }\n\n    this.experiments = data.sort((a, b) => {\n      const isAsc = sort.direction === 'asc';\n      switch (sort.active) {\n        case this.EXPERIMENT_COLUMNS.ID:\n          return this.utilsService.compare(a.eid, b.eid, isAsc);\n        case this.EXPERIMENT_COLUMNS.EXPERIMENT_NAME:\n          return this.utilsService.compare(a.experimentName, b.experimentName, isAsc);\n        case this.EXPERIMENT_COLUMNS.SCRIPT_NAME:\n          return this.utilsService.compare(a.scriptName, b.scriptName, isAsc);\n        case this.EXPERIMENT_COLUMNS.START_TIME:\n          return this.utilsService.compare(a.startTime, b.startTime, isAsc);\n        case this.EXPERIMENT_COLUMNS.END_TIME:\n          return this.utilsService.compare(a.endTime, b.endTime, isAsc);\n        case this.EXPERIMENT_COLUMNS.STATUS:\n          return this.utilsService.compare(a.status, b.status, isAsc);\n        default:\n          return 0;\n      }\n    });\n  }\n\n  sortResourceData(sort: Sort): boolean {\n    const data = this.resources.slice();\n    if (!sort.active || sort.direction === '') {\n      this.dataSourceResource.data = data;\n      return;\n    }\n\n    this.dataSourceResource.data = data.sort((a, b) => {\n      const isAsc = sort.direction === 'asc';\n      switch (sort.active) {\n        case this.RESOURCE_COLUMNS.ID:\n          return this.utilsService.compare(a.rid, b.rid, isAsc);\n        case this.RESOURCE_COLUMNS.NAME:\n          return this.utilsService.compare(a.name, b.name, isAsc);\n        case this.RESOURCE_COLUMNS.STATUS:\n          return this.utilsService.compare(a.status, b.status, isAsc);\n        case this.RESOURCE_COLUMNS.TYPE:\n          return this.utilsService.compare(a.type, b.type, isAsc);\n        default:\n          return 0;\n      }\n    });\n  }\n\n  searchStringInExperiments(query: string): void {\n    this.experiments = this.allExperiments.filter(\n      (experiment: Experiment) => this.utilsService.trimString(experiment.experimentName).indexOf(query) >= 0\n    );\n    this.cdRef.markForCheck();\n  }\n\n  deleteExperiment(eid: number): void {\n    if (!eid) {\n      return;\n    }\n    this.confirmDialogRef = this.dialog.open(ConfirmDialogComponent, {\n      width: '450px',\n      data: {\n        title: 'Delete experiment',\n        content: 'Are you sure you want to permanently delete this experiment?',\n        confirmButtonText: 'Delete',\n      },\n      panelClass: 'header-modal',\n    });\n    this.confirmDialogRef.afterClosed().subscribe((confirm) => {\n      if (confirm) {\n        this.store.dispatch(new DeleteExperiment(eid));\n      }\n    });\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/main/main.component.html",
    "content": "<div class=\"main-container text-primary\">\n  <app-header></app-header>\n  <div class=\"main\">\n    <mat-drawer-container class=\"h-vh w-full\">\n      <mat-drawer-content>\n        <router-outlet></router-outlet>\n      </mat-drawer-content>\n    </mat-drawer-container>\n  </div>\n</div>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/main/main.component.scss",
    "content": ":host {\n  .main-container {\n    height: calc(100vh - 64px);\n  }\n  .logo-container {\n    > img {\n      height: 35px;\n    }\n  }\n\n  mat-drawer {\n    width: 300px;\n    mat-toolbar {\n      mat-icon {\n        font-size: 40px;\n        width: 40px;\n        height: 40px;\n      }\n      span {\n        font-size: 35px;\n        font-weight: 200;\n      }\n    }\n    .side-nav-content {\n      > a {\n        padding: 10px;\n        font-size: 20px;\n        font-weight: 400;\n        text-align: center;\n        line-height: 1.5;\n        width: 100%;\n      }\n    }\n  }\n\n  .refresh-interval {\n    width: 150px;\n    font-size: 18px;\n    margin-top: 10px;\n  }\n\n  .version {\n    font-size: 15px;\n    font-weight: 400;\n  }\n\n  .h-vh {\n    height: calc(100vh - 64px);\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/main/main.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { MainComponent } from './main.component';\n\ndescribe('MainComponent', () => {\n  let component: MainComponent;\n  let fixture: ComponentFixture<MainComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, SharedModule, BrowserAnimationsModule],\n      declarations: [MainComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(MainComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/main/main.component.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, OnInit, OnDestroy } from '@angular/core';\nimport { Store, Select } from '@ngxs/store';\nimport { Subscription, Observable, interval } from 'rxjs';\nimport { ActivatedRoute, Router } from '@angular/router';\nimport {\n  GetExperimentInterimResults,\n  GetExperiments,\n  RefreshAll,\n  RefreshInterval,\n} from '../../store/experiment.actions';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { startWith, map } from 'rxjs/operators';\nimport { SnackbarService } from '../../../../shared/services';\nimport { IntermediateExperiment } from '../../store/experiment-state.model';\n\n@Component({\n  selector: 'app-main',\n  templateUrl: './main.component.html',\n  styleUrls: ['./main.component.scss'],\n})\nexport class MainComponent implements OnInit, OnDestroy {\n  @Select(ExperimentState.refreshInterval) refreshInterval$: Observable<number>;\n  @Select(ExperimentState.refreshingInterval) refreshingInterval$: Observable<boolean>;\n  @Select(ExperimentState.interimExperiment) interimExperiment$: Observable<IntermediateExperiment>;\n\n  subscriptions: Subscription;\n  refreshIntervalSubscription: Subscription;\n  refreshInterval: number;\n  experimentId: number;\n  interimExperiment: IntermediateExperiment;\n\n  constructor(\n    readonly store: Store,\n    readonly route: ActivatedRoute,\n    readonly router: Router,\n    private snackbarService: SnackbarService\n  ) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    // this.refreshIntervalSubscription = new Subscription();\n    this.subscriptions.add(\n      this.refreshInterval$.subscribe((rInterval: number) => {\n        if (rInterval) {\n          if (this.refreshIntervalSubscription && rInterval !== this.refreshInterval) {\n            this.refreshIntervalSubscription.unsubscribe();\n          }\n          this.refreshInterval = rInterval;\n          this.refreshIntervalSubscription = this.refreshIntervalData().subscribe();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.refreshingInterval$.subscribe((refreshingInterval: boolean) => {\n        if (refreshingInterval) {\n          this.refreshData();\n          const message = 'Data refreshed!';\n          this.snackbarService.success(message);\n          this.store.dispatch(new RefreshInterval(false));\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.interimExperiment$.subscribe((interimExperiment: IntermediateExperiment) => {\n        if (interimExperiment) {\n          this.interimExperiment = interimExperiment;\n        }\n      })\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n    if (this.refreshIntervalSubscription) {\n      this.refreshIntervalSubscription.unsubscribe();\n    }\n  }\n\n  // In the tables, fetch that data, but here, fetch this data\n  refreshIntervalData(): Observable<any> {\n    if (this.refreshInterval) {\n      return interval(this.refreshInterval * 1000).pipe(\n        startWith(0),\n        map(() => {\n          console.log('Fetching data...');\n          this.refreshData();\n        })\n      );\n    }\n  }\n\n  refreshData(): void {\n    this.store.dispatch(new GetExperiments());\n    this.store.dispatch(new RefreshAll());\n    if (this.interimExperiment) {\n      this.store.dispatch(new GetExperimentInterimResults({ eid: this.interimExperiment.eid }));\n    }\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/multi-exp-comp/multi-exp-comp.component.html",
    "content": "<div fxLayout=\"column\">\n  <h1 class=\"mat-headline\">Compare the best scores of multiple experiments against each other</h1>\n\n  <div fxLayout=\"row\" fxLayout.lt-md=\"column\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"20px\">\n    <div class=\"w-full\" *ngIf=\"experiments && experiments.length\">\n      <mat-form-field appearance=\"outline\" class=\"w-full\" *ngIf=\"experiments && experiments.length > 0\">\n        <mat-label> Select Experiments </mat-label>\n        <mat-select multiple [(ngModel)]=\"selectedExperiments\" (selectionChange)=\"selectExperiment($event)\">\n          <mat-option *ngFor=\"let experiment of experiments\" [value]=\"experiment\">\n            {{ experiment.experimentName || experiment.scriptName }}\n          </mat-option>\n        </mat-select>\n      </mat-form-field>\n    </div>\n    <!-- <div class=\"multiplier\">\n      <mat-form-field appearance=\"outline\" class=\"w-full\" appearance=\"outline\">\n        <mat-label>\n          Step size\n        </mat-label>\n        <input type=\"number\" matInput [formControl]=\"experimentMultiplierForm\" />\n        <mat-hint>Number of jobs</mat-hint>\n        <mat-error>Required step size</mat-error>\n      </mat-form-field>\n    </div> -->\n    <mat-form-field appearance=\"outline\" class=\"w-full mr-3\" *ngIf=\"commonLabels && commonLabels.length > 0\">\n      <mat-label> Y-axis </mat-label>\n      <mat-select class=\"w-full\" (selectionChange)=\"selectLabel($event.value)\" [formControl]=\"selectedLabel\">\n        <mat-option *ngFor=\"let label of commonLabels\" [value]=\"label\">\n          {{ label }}\n        </mat-option>\n      </mat-select>\n    </mat-form-field>\n    <div class=\"w-full\">\n      <mat-form-field appearance=\"outline\" class=\"w-full mr-3\">\n        <mat-label> X-axis </mat-label>\n        <mat-select [formControl]=\"xAxisType\" (selectionChange)=\"changeXAxisValue()\">\n          <mat-option *ngFor=\"let value of axisValues\" [value]=\"value\">\n            {{ value }}\n          </mat-option>\n        </mat-select>\n      </mat-form-field>\n    </div>\n  </div>\n\n  <div class=\"w-full mb-4 mr-3\" fxLayoutAlign=\"space-between center\">\n    <button matTooltip=\"Current view will be downloaded\" mat-raised-button (click)=\"downloadGraph()\">\n      {{ 'Download graph png' | uppercase }}\n    </button>\n    <button fxFlexAlign=\"end\" mat-raised-button [matMenuTriggerFor]=\"helpMenu\">\n      <mat-icon class=\"mr-3\">help_outline</mat-icon>\n      {{ 'interaction guide' | uppercase }}\n    </button>\n  </div>\n\n  <div class=\"w-full\">\n    <plotly-plot class=\"w-full chart\" divId=\"multiExperiment\" [data]=\"graph.data\" [layout]=\"graph.layout\"\n      [config]=\"graph.config\"></plotly-plot>\n  </div>\n</div>\n\n<mat-menu #helpMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"help-menu\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button>\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <mat-drawer-container class=\"help-content\" fxLayout=\"column\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"30px\">\n    <div fxLayout=\"column\" fxLayoutAlign=\"start\" fxLayoutGap=\"30px\" class=\"p-5 w-full\">\n      <p fxFlex=\"100\" fxLayout=\"row\" fxLayoutAlign=\"start\" class=\"my-0\">\n        On the graph:\n      </p>\n      <div fxLayout=\"row\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"30px\">\n        <ul class=\"mt-3 ml-5 help-list\">\n          <li>zoom out/in: place mouse on the graph and scroll up/down</li>\n          <li>zoom in a specific area: click mouse anywhere on the graph and drag it to draw a square</li>\n          <li>change the axis range: drag the label on x-axis or y-axis</li>\n          <li>show/hide data: click on the corresponding legend</li>\n          <li>show detailed value: hover over the data point</li>\n          <li>go back to default view: double-click on anywhere on the plot</li>\n        </ul>\n      </div>\n    </div>\n  </mat-drawer-container>\n</mat-menu>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/multi-exp-comp/multi-exp-comp.component.scss",
    "content": ".multiplier {\n  width: 110px;\n  margin-top: 1px;\n  > mat-form-field {\n    text-align: center;\n  }\n}\n\n.headers-align .mat-expansion-panel-header-title,\n.headers-align .mat-expansion-panel-header-description {\n  flex-basis: 0;\n}\n\n.headers-align .mat-expansion-panel-header-description {\n  justify-content: space-between;\n  align-items: center;\n}\n\n.headers-align .mat-form-field + .mat-form-field {\n  margin-left: 8px;\n}\n\nmat-select, input {\n  font-size: 18px;\n  padding-top: 10px;\n}\n\n.chart {\n  height: 540px;\n}"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/multi-exp-comp/multi-exp-comp.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { MultiExpCompComponent } from './multi-exp-comp.component';\n\ndescribe('MultiExpCompComponent', () => {\n  let component: MultiExpCompComponent;\n  let fixture: ComponentFixture<MultiExpCompComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, SharedModule, BrowserAnimationsModule],\n      declarations: [MultiExpCompComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(MultiExpCompComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/multi-exp-comp/multi-exp-comp.component.ts",
    "content": "/* eslint-disable prefer-arrow/prefer-arrow-functions */\n/* eslint-disable @typescript-eslint/prefer-for-of */\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/no-unsafe-return */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-unused-expressions */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/unbound-method */\n/* eslint-disable no-shadow */\n/* eslint-disable @typescript-eslint/naming-convention */\nimport { Component, OnInit, ChangeDetectionStrategy, ChangeDetectorRef } from '@angular/core';\nimport { Select, Store } from '@ngxs/store';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { Observable, Subscription } from 'rxjs';\nimport { Experiment, ExperimentHistory } from '../../../../models/experiment.model';\nimport { Router, ActivatedRoute } from '@angular/router';\nimport { MatSelectChange } from '@angular/material/select';\nimport { FormControl } from '@angular/forms';\nimport { AppState } from '../../../../appStore/app.store';\nimport { Theme } from '../../../../appStore/app-state.model';\nimport { ExperimentService } from '../../services/experiment.service';\nimport { FirstLetterUppercasePipe } from '../../../../shared/pipes';\nimport { PlotlyService } from 'angular-plotly.js';\nimport { GRAPH_COLORS } from '../../../../models/data/graph-colors.data';\n\nexport enum AXIS_TYPE {\n  JOBS = 'jobs',\n  SCORE = 'score',\n  TIME = 'time (seconds)',\n}\n\nexport enum SORT_BY {\n  JID = 'jid',\n  END_TIME = 'end_time',\n}\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-multi-exp-comp',\n  templateUrl: './multi-exp-comp.component.html',\n  styleUrls: ['./multi-exp-comp.component.scss'],\n})\nexport class MultiExpCompComponent implements OnInit {\n  @Select(ExperimentState.experiments) experiments$: Observable<Experiment[]>;\n  @Select(ExperimentState.experimentsMultiplier) experimentsMultiplier$: Observable<number>;\n  @Select(AppState.theme) theme$: Observable<Theme>;\n\n  // experimentMultiplierForm: FormControl;\n  experimentMultiplier = 1;\n  subscriptions: Subscription;\n  experiments: Experiment[];\n  experimentId: number;\n  xAxisType: FormControl;\n  yAxisType: FormControl;\n  axisValues = [AXIS_TYPE.JOBS, AXIS_TYPE.TIME];\n  yAxisValue: string = AXIS_TYPE.SCORE;\n  selectedExperiments: Experiment[] = [];\n  checkedExperiments: Experiment[] = [];\n  theme: Theme;\n  SORT_BY = SORT_BY;\n  selectedSortBy = SORT_BY.JID;\n  stepSizes = [1, 2];\n  commonLabels: string[] = [];\n  selectedLabel = new FormControl();\n  yAxisLabel = 'score';\n\n  public graph = {\n    data: [],\n    layout: {\n      height: 540,\n      xaxis: {\n        title: {\n          text: '',\n        },\n      },\n      yaxis: {\n        title: {\n          text: '',\n        },\n      },\n    },\n    config: {\n      responsive: true,\n      displayModeBar: false,\n      scrollZoom: true,\n    },\n  };\n\n  showInteractionGuide = false;\n\n  constructor(\n    readonly store: Store,\n    readonly router: Router,\n    private route: ActivatedRoute,\n    private cdRef: ChangeDetectorRef,\n    private experimentService: ExperimentService,\n    private plotlyService: PlotlyService\n  ) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    // this.experimentMultiplierForm = new FormControl(1, [Validators.required, Validators.pattern(/^-?([1-9]\\d*)?$/)]);\n    this.xAxisType = new FormControl(this.axisValues[0]);\n    this.yAxisType = new FormControl(this.yAxisValue);\n    this.subscriptions.add(\n      this.route?.parent?.params.subscribe((params) => {\n        this.experimentId = params['id'];\n      })\n    );\n    this.subscriptions.add(\n      this.experiments$.subscribe((experiments: Experiment[]) => {\n        if (experiments && experiments.length > 0) {\n          // this.store.dispatch(new GetExperimentsHistoryBest());\n          this.getExperimentsBestHistory();\n          if (!this.selectedExperiments.length) {\n            this.experiments = experiments.slice();\n          }\n          this.computePlots();\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.theme$.subscribe((theme: Theme) => {\n        if (theme) {\n          this.theme = theme;\n          this.provideLayoutBasedOnTheme();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.experimentsMultiplier$.subscribe((multiplier: number) => {\n        if (multiplier) {\n          // this.experimentMultiplier = multiplier;\n        }\n      })\n    );\n    // this.experimentMultiplierForm.valueChanges.pipe(distinctUntilChanged()).subscribe((multiplier: number) => {\n    //   if (multiplier) {\n    //     this.experimentMultiplier = multiplier;\n    //     this.getExperimentsBestHistory();\n    //   }\n    // });\n  }\n\n  provideLayoutBasedOnTheme(): void {\n    this.graph.layout = this.changeLightModeChart();\n    if (this.theme) {\n      this.theme.name === 'dark'\n        ? (this.graph.layout = this.changeDarkModeChart())\n        : (this.graph.layout = this.changeLightModeChart());\n      this.cdRef.markForCheck();\n    }\n  }\n\n  downloadGraph(): void {\n    const graphDiv = this.plotlyService.getInstanceByDivId('multiExperiment');\n    this.plotlyService\n      .getPlotly()\n      .downloadImage(graphDiv, { format: 'png', width: '1000', height: '450', filename: 'multiExperiment' });\n  }\n\n  getExperimentsBestHistory(): void {\n    if (!this.experimentMultiplier) {\n      return;\n    }\n    const label = this.selectedLabel.value;\n    this.experimentService\n      .getAllExperimentHistoryBest(this.experimentMultiplier, this.selectedSortBy, label)\n      .subscribe((res) => {\n        if (res && res['experiment_history_best']) {\n          const history = res['experiment_history_best'];\n          this.experiments.map((exp) => {\n            exp.history = [];\n            if (history[exp.eid]) {\n              history[exp.eid].map((expHistory) => {\n                const experimentHistory: ExperimentHistory = {\n                  jid: expHistory['jid'],\n                  jobConfig: JSON.parse(expHistory['job_config']),\n                  score: expHistory['score'],\n                };\n                exp.history.push(experimentHistory);\n              });\n            }\n          });\n          this.selectedExperiments.map((exp) => {\n            exp.history = [];\n            history[exp.eid].map((expHistory) => {\n              const experimentHistory: ExperimentHistory = {\n                jid: expHistory['jid'],\n                jobConfig: JSON.parse(expHistory['job_config']),\n                score: expHistory['score'],\n              };\n              exp.history.push(experimentHistory);\n            });\n          });\n          this.computePlots();\n          this.cdRef.markForCheck();\n        }\n      });\n  }\n\n  // get experimentMultiplierValue(): number {\n  //   return this.experimentMultiplierForm.value;\n  // }\n\n  get xAxisValue(): AXIS_TYPE {\n    return this.xAxisType.value;\n  }\n\n  changeLightModeChart(): any {\n    const flu = new FirstLetterUppercasePipe();\n    return {\n      colorway: GRAPH_COLORS,\n      hovermode: 'closest',\n      height: 450,\n      showlegend: true,\n      // title: {\n      //   text: 'Score',\n      // },\n      xaxis: {\n        zeroline: false,\n        title: {\n          text: flu.transform(this.xAxisValue),\n          font: {\n            size: 18,\n            color: '#7f7f7f',\n          },\n        },\n      },\n      yaxis: {\n        zeroline: false,\n        title: {\n          text: flu.transform(this.yAxisValue),\n          font: {\n            size: 18,\n            color: '#7f7f7f',\n          },\n        },\n      },\n    };\n  }\n\n  changeDarkModeChart(): any {\n    const flu = new FirstLetterUppercasePipe();\n    return {\n      colorway: GRAPH_COLORS,\n      hovermode: 'closest',\n      plot_bgcolor: '#424242',\n      paper_bgcolor: '#424242',\n      height: 450,\n      showlegend: true,\n      legend: {\n        font: {\n          color: '#ffffff',\n        },\n      },\n      xaxis: {\n        title: {\n          text: flu.transform(this.xAxisValue),\n          font: {\n            size: 18,\n            color: '#ffffff',\n          },\n        },\n        gridcolor: '#c0c0c0',\n        tickfont: {\n          color: '#ffffff',\n        },\n        showline: true,\n        showgrid: true,\n        zeroline: false,\n        showticklabels: true,\n      },\n      yaxis: {\n        title: {\n          text: flu.transform(this.yAxisValue),\n          font: {\n            size: 18,\n            color: '#ffffff',\n          },\n        },\n        gridcolor: '#c0c0c0',\n        tickfont: {\n          color: '#ffffff',\n        },\n        showline: true,\n        showgrid: true,\n        zeroline: false,\n        showticklabels: true,\n      },\n      line: {\n        color: '#ffffff',\n      },\n    };\n  }\n\n  selectExperiment(event: MatSelectChange): void {\n    const scoreLabel = 'score';\n    if (!event.value) {\n      return;\n    }\n    this.selectedExperiments = event.value;\n    let combinedLabels = [];\n    this.commonLabels = [];\n    for (let i = 0; i < this.selectedExperiments.length; i++) {\n      if (!this.selectedExperiments[i].labels || !this.selectedExperiments[i].labels.length) {\n        combinedLabels = [];\n        this.commonLabels = [];\n        break;\n      } else {\n        combinedLabels.push(this.selectedExperiments[i].labels);\n      }\n    }\n    if (combinedLabels.length) {\n      if (combinedLabels.length > 1) {\n        this.commonLabels = combinedLabels.shift().filter(function (v) {\n          return combinedLabels.every(function (a) {\n            return a.indexOf(v) !== -1;\n          });\n        });\n        // if (!this.commonLabels.length) {\n        //   this.selectedLabel.patchValue(scoreLabel);\n        //   this.selectLabel(scoreLabel);\n        // }\n      } else {\n        this.commonLabels = combinedLabels[0].slice();\n      }\n      this.commonLabels.length > 0 ? this.commonLabels.unshift(scoreLabel) : null;\n    } else {\n      this.commonLabels = [];\n    }\n    this.selectedLabel.patchValue(scoreLabel);\n    this.selectLabel(scoreLabel);\n    this.computePlots();\n  }\n\n  selectLabel(label: string): void {\n    if (!label) {\n      return;\n    }\n    this.yAxisValue = label;\n    this.cdRef.markForCheck();\n    this.getExperimentsBestHistory();\n    this.computePlots();\n  }\n\n  changeXAxisValue(): void {\n    switch (this.xAxisType.value) {\n      case AXIS_TYPE.JOBS:\n        this.selectedSortBy = SORT_BY.JID;\n        break;\n      case AXIS_TYPE.TIME:\n        this.selectedSortBy = SORT_BY.END_TIME;\n        break;\n      default:\n        this.selectedSortBy = null;\n        break;\n    }\n    this.getExperimentsBestHistory();\n    this.computePlots();\n  }\n\n  computePlots(): void {\n    this.provideLayoutBasedOnTheme();\n    if (this.selectedExperiments.length) {\n      const traces = this.selectedExperiments.map((experiment: Experiment) => {\n        return {\n          x: [...this.computeXAxis(experiment)],\n          y: [...this.computeYAxis(experiment)],\n          // hovertext: [...this.computeHoverText(experiment)],\n          mode: 'lines+markers',\n          // marker: { size: 11 },\n          type: 'scatter',\n          name: experiment.experimentName ? experiment.experimentName : experiment.scriptName,\n        };\n      });\n      this.graph.data = traces;\n      this.cdRef.markForCheck();\n    } else {\n      this.graph.data = [];\n    }\n  }\n  // computeHoverText(experiment: Experiment): any {\n  //   if (this.xAxisType.value && experiment) {\n  //     switch (this.xAxisType.value) {\n  //       case AXIS_TYPE.JOBS:\n  //         return experiment.jobs.map((job, index) => 'TEST1');\n  //       case AXIS_TYPE.SCORE:\n  //         return experiment.jobs.map((job, index) => 'TEST2');\n  //     }\n  //   }\n  // }\n\n  computeXAxis(experiment: Experiment): any {\n    if (this.xAxisType.value && experiment) {\n      switch (this.xAxisType.value) {\n        case AXIS_TYPE.JOBS:\n          return experiment.history.map((expHistory, index) => {\n            const newIndex = this.experimentMultiplier * (index + 1);\n            return newIndex - Math.floor(newIndex / experiment.jobs.length) * (newIndex % experiment.jobs.length);\n          });\n        case AXIS_TYPE.TIME:\n          // console.log(\n          //   'X AXIS: - TIME',\n          //   experiment.jobs.map((job) => (job['end_time'] ? job['end_time'] - experiment.startTime : null))\n          // );\n          return experiment.jobs.map((job) => (job['end_time'] ? job['end_time'] - experiment.startTime : null));\n      }\n      this.cdRef.markForCheck();\n    }\n  }\n\n  computeYAxis(experiment: Experiment): any {\n    if (this.yAxisType.value && experiment) {\n      return experiment.history.map((expHistory) => expHistory.score);\n    }\n    this.cdRef.markForCheck();\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/notification/notification.component.html",
    "content": "<mat-drawer-container class=\"h-vh w-full\">\n  <div class=\"w-full h-full p-5\" fxLayout=\"column\" fxLayoutAlign=\"start center\">\n    <div class=\"notifications-container\" fxLayout=\"column\">\n      <div class=\"w-full mb-4\" fxLayout=\"row\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"20px\">\n        <div fxLayoutAlign=\"center\" fxLayoutGap=\"10px\">\n          <mat-form-field appearance=\"outline\">\n            <mat-label>Sort by</mat-label>\n            <mat-select [formControl]=\"sortOption\" name=\"sortOption\" (selectionChange)=\"onSortOption($event)\">\n              <mat-option *ngFor=\"let sort of sortOptions\" [value]=\"sort\">\n                {{sort | flu}}\n              </mat-option>\n            </mat-select>\n          </mat-form-field>\n          <mat-button-toggle-group class=\"sort-toggle mt-1\" name=\"fontStyle\" [value]=\"sortDirectionType\"\n            (change)=\"onSortDirection($event)\">\n            <mat-button-toggle [value]=\"sortDirections[0]\">\n              <mat-icon [color]=\"sortDirectionType === sortDirections[0] ? 'primary' : ''\">north</mat-icon>\n            </mat-button-toggle>\n            <mat-button-toggle [value]=\"sortDirections[1]\">\n              <mat-icon [color]=\"sortDirectionType === sortDirections[1] ? 'primary' : ''\">south</mat-icon>\n            </mat-button-toggle>\n          </mat-button-toggle-group>\n        </div>\n        <button type=\"button\" mat-button class=\"mb-5\" (click)=\"removeAllNotifications()\">\n          <mat-icon class=\"mr-3\">delete_sweep</mat-icon>\n          Clear all\n        </button>\n      </div>\n      <div *ngIf=\"notifications && notifications.length\" class=\"mb-3\">\n        <hr>\n        <!--  *ngFor=\"let notification of notifications | | paginate: { itemsPerPage: pageSize, currentPage: page } -->\n        <ng-container *ngFor=\"let notification of notifications\">\n          <div class=\"notification py-4\" fxLayout=\"row\" fxLayoutAlign=\"space-between center\">\n            <div class=\"type\" *ngIf=\"notification.type\" fxLayoutAlign=\"start center\" fxLayoutGap=\"5px\">\n              <mat-icon [class]=\"'color-'+notification.type.toLowerCase()\">{{ notification.type | notifyIcon }}\n              </mat-icon>\n              <span>{{ notification.type }}</span>\n            </div>\n            <div class=\"message mx-3\" *ngIf=\"notification.message\">{{ notification.message }}</div>\n            <div *ngIf=\"notification.receivedAt\">{{ notification.receivedAt | date: 'medium' }}</div>\n            <div>\n              <mat-icon matTooltip=\"Remove notification\" (click)=\"removeNotification(notification)\"\n                class=\"actionable-warn\">delete</mat-icon>\n            </div>\n          </div>\n          <hr>\n        </ng-container>\n        <!-- <div class=\"w-full pt-5\" fxLayoutAlign=\"end center\">\n          <pagination-controls previousLabel=\"\" directionLinks=\"true\" nextLabel=\"\" (pageChange)=\"page = $event\">\n          </pagination-controls>\n        </div> -->\n      </div>\n    </div>\n  </div>\n</mat-drawer-container>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/notification/notification.component.scss",
    "content": ".notifications-container {\n  min-width: 700px;\n  max-height: 500px;\n}\n\n.mat-column-Message {\n  max-width: 500px !important;\n}\n\n[class^='mat-column-'] {\n  padding-right: 10px !important;\n}\n\n.notification {\n  .type {\n    width: 100px;\n  }\n  .message {\n    width: 300px;\n    word-wrap: break-word;\n  }\n  > * {\n  }\n}"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/notification/notification.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { NotificationComponent } from './notification.component';\n\ndescribe('NotificationComponent', () => {\n  let component: NotificationComponent;\n  let fixture: ComponentFixture<NotificationComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, BrowserAnimationsModule, SharedModule],\n      declarations: [NotificationComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(NotificationComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/notification/notification.component.ts",
    "content": "/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable @typescript-eslint/unbound-method */\nimport { ChangeDetectionStrategy, ChangeDetectorRef, Component, OnDestroy, OnInit } from '@angular/core';\nimport { FormControl } from '@angular/forms';\nimport { MatSelectChange } from '@angular/material/select';\nimport { Sort } from '@angular/material/sort';\nimport { Select, Store } from '@ngxs/store';\nimport { Observable, Subscription } from 'rxjs';\nimport { AppNotification } from '../../../../appStore/app-state.model';\nimport { RemoveAllNotifications, RemoveNotification } from '../../../../appStore/app.actions';\nimport { AppState } from '../../../../appStore/app.store';\nimport { NOTIFICATION_TYPE } from '../../../../models/enum/notification-type.enum';\nimport { HelperService, UtilsService } from '../../../../shared/services';\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-notification',\n  templateUrl: './notification.component.html',\n  styleUrls: ['./notification.component.scss'],\n})\nexport class NotificationComponent implements OnInit, OnDestroy {\n  @Select(AppState.notifications) notifications$: Observable<AppNotification[]>;\n\n  subscriptions: Subscription;\n  readonly COLUMNS = {\n    TYPE: 'Type',\n    MESSAGE: 'Message',\n    RECEIVED: 'Received at',\n  };\n  pageSize = 5;\n  page = 1;\n\n  NOTIFICATION_TYPE = NOTIFICATION_TYPE;\n  notifications: AppNotification[];\n\n  sortOptions = [this.COLUMNS.TYPE, this.COLUMNS.MESSAGE, this.COLUMNS.RECEIVED];\n  sortOption = new FormControl(this.COLUMNS.RECEIVED);\n  sortDirectionType: 'asc' | 'desc' = 'desc';\n  sortDirections: ('asc' | 'desc')[] = ['asc', 'desc'];\n\n  constructor(\n    readonly store: Store,\n    private cdRef: ChangeDetectorRef,\n    public helperService: HelperService,\n    private utilsService: UtilsService\n  ) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    this.subscriptions.add(\n      this.notifications$.subscribe((notifications: AppNotification[]) => {\n        this.notifications =\n          notifications && notifications.length\n            ? notifications.slice().sort((a, b) => this.utilsService.compare(a.receivedAt, b.receivedAt, false))\n            : null;\n        this.cdRef.markForCheck();\n      })\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n  }\n\n  removeNotification(notification: AppNotification): void {\n    if (!notification) {\n      return;\n    }\n    this.store.dispatch(new RemoveNotification(notification));\n  }\n\n  removeAllNotifications(): void {\n    this.store.dispatch(new RemoveAllNotifications());\n    this.helperService.redirectTo('list');\n  }\n\n  onSortOption(event: MatSelectChange): void {\n    if (!event.value) {\n      return;\n    }\n    const sort: Sort = {\n      active: event.value,\n      direction: this.sortDirectionType,\n    };\n    this.sortData(sort);\n  }\n\n  onSortDirection(event: MatSelectChange): void {\n    if (!event.value) {\n      return;\n    }\n    this.sortDirectionType = event.value;\n    const sort: Sort = {\n      active: this.sortOption.value,\n      direction: event.value,\n    };\n    this.sortData(sort);\n  }\n\n  sortData(sort: Sort): boolean {\n    const data = this.notifications.slice();\n    if (!sort.active || sort.direction === '') {\n      this.notifications = data;\n      return;\n    }\n\n    this.notifications = data.sort((a, b) => {\n      const isAsc = sort.direction === 'asc';\n      switch (sort.active) {\n        case this.COLUMNS.TYPE:\n          return this.utilsService.compare(a.type, b.type, isAsc);\n        case this.COLUMNS.MESSAGE:\n          return this.utilsService.compare(a.message, b.message, isAsc);\n        case this.COLUMNS.RECEIVED:\n          return this.utilsService.compare(a.receivedAt, b.receivedAt, isAsc);\n        default:\n          return 0;\n      }\n    });\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/overview/overview.component.html",
    "content": "<div fxLayout=\"column\">\n  <div fxLayoutAlign=\"space-between center\">\n    <h1 class=\"mat-headline\">Experiment Overview</h1>\n    <button mat-button (click)=\"openDetails()\">\n      <mat-icon class=\"mr-3\" svgIcon=\"information\"></mat-icon>\n      {{ 'Experiment details' | uppercase }}\n    </button>\n  </div>\n  <app-experiment-dropdown fxFlex.gt-md=\"50\" fxFlex=\"100\" [experimentId]=\"experimentId\"\n    (toggleExperiment)=\"toggleExperiment($event)\">\n  </app-experiment-dropdown>\n\n  <!-- <div *ngIf=\"(loadingExperiment$ | async) && (experiment$ | async) === null\" fxLayout=\"row\"\n    fxLayoutAlign=\"center center\" class=\"p-10\">\n    <mat-spinner color=\"accent\" [diameter]=\"100\" class=\"mt-10\"></mat-spinner>\n  </div> -->\n\n  <div fxLayout=\"column\" class=\"w-full\" fxLayoutGap=\"15px\">\n    <div *ngIf=\"experimentData\" fxLayout=\"column\" class=\"w-full\" fxLayoutGap=\"15px\">\n      <h2 class=\"mat-title\">\n        Best Result: {{ experimentData.bestScore['score'] | roundNumber }}\n      </h2>\n      <div fxLayout=\"row\" fxLayoutAlign=\"center center\" class=\"w-full\">\n        <div class=\"progress-bar\">\n          <span class=\"progress-bar-fill\" [ngStyle]=\"{ width: progressBarWidth + '%' }\"></span>\n        </div>\n        <div class=\"w-full progress-legend\" fxLayout=\"row\" fxLayoutAlign=\"start\">\n          <h2 class=\"mb-0  mat-title\">{{ experimentData.jobStats.finished }} /\n            {{ experimentData.jobStats.total }} jobs</h2>\n        </div>\n      </div>\n    </div>\n\n    <h2 *ngIf=\"dataSourceParams.data.length > 0\" class=\"mat-title\">Best Hyperparameter Combination</h2>\n    <h2\n      *ngIf=\"(!dataSourceParams.data || !dataSourceParams.data.length) && experimentData?.bestScore?.configList !== null\"\n      class=\"mat-title mb-0\">\n      Compression config_list\n    </h2>\n\n    <div>\n      <div class=\"table-container w-full\" *ngIf=\"dataSourceParams.data.length > 0\">\n        <table fxFill mat-table [dataSource]=\"dataSourceParams\" multiTemplateDataRows\n          (matSortChange)=\"sortParamData($event)\" matSort matSortDisableClear class=\"mat-elevation-z3 w-full\">\n          <ng-container matColumnDef=\"{{ PARAM_COLUMNS.NAME }}\">\n            <th mat-header-cell mat-sort-header *matHeaderCellDef>\n              {{ PARAM_COLUMNS.NAME }}\n            </th>\n            <td mat-cell *matCellDef=\"let element\">\n              <div *ngIf=\"element.name\" class=\"maxw-500\">{{ element.name }}</div>\n            </td>\n          </ng-container>\n          <ng-container matColumnDef=\"{{ PARAM_COLUMNS.VALUE }}\">\n            <th mat-header-cell mat-sort-header *matHeaderCellDef>\n              <strong>{{ PARAM_COLUMNS.VALUE }}</strong>\n            </th>\n            <td mat-cell *matCellDef=\"let element\">\n              <div class=\"maxw-500\"><strong><span>{{ element.value | roundNumber }}</span></strong></div>\n            </td>\n          </ng-container>\n          <ng-container matColumnDef=\"{{ PARAM_COLUMNS.RANGE }}\">\n            <th mat-header-cell mat-sort-header *matHeaderCellDef>\n              {{ PARAM_COLUMNS.RANGE }}\n            </th>\n            <td mat-cell *matCellDef=\"let element\">\n              <div class=\"maxw-500 minw-200\" fxLayout=\"row\">\n                <div>{{ element.range[0] }} to {{ element.range[1] }}</div>\n                <div *ngIf=\"experimentData.bestScore.proposer === 'sequence'\">\n                  <div *ngIf=\"element.interval\">\n                    &nbsp; by\n                    {{ element.interval }}\n                  </div>\n                  <div *ngIf=\"element.n\">\n                    &nbsp; by\n                    {{ (element.range[1] - element.range[0]) / (element.n - 1) | roundNumber }}\n                  </div>\n                  <div *ngIf=\"!element.n && !element.interval\">\n                    &nbsp; by 1\n                  </div>\n                </div>\n              </div>\n            </td>\n          </ng-container>\n          <ng-container matColumnDef=\"{{ PARAM_COLUMNS.TYPE }}\">\n            <th mat-header-cell mat-sort-header *matHeaderCellDef>\n              {{ PARAM_COLUMNS.TYPE }}\n            </th>\n            <td mat-cell *matCellDef=\"let element\">\n              <div class=\"maxw-500\" *ngIf=\"element.type\">{{ element.type }}</div>\n            </td>\n          </ng-container>\n\n          <tr mat-header-row *matHeaderRowDef=\"displayedResourceColumns; sticky: true\"></tr>\n          <tr mat-row *matRowDef=\"let row; columns: displayedResourceColumns\"></tr>\n        </table>\n      </div>\n      <mat-paginator #paginatorParams class=\"mat-elevation-z3\"\n        [style.display]=\"dataSourceParams.data.length > 0 ? 'block' : 'none'\" [pageSize]=\"pageSize\"\n        showFirstLastButtons>\n      </mat-paginator>\n    </div>\n    <div *ngIf=\"dataSourceParams.data.length === 0 && experimentData?.bestScore?.configList !== null\"\n      class=\"config-list p-3\">\n      <pre>{{ experimentData?.bestScore?.configList | json }}</pre>\n    </div>\n  </div>\n</div>\n\n<ng-template #showDetailsDialog let-data>\n  <div class=\"info-dialog-title w-full p-3 bg-primary text-white\" fxLayout=\"row\" fxLayoutAlign=\"space-between center\">\n    <div class=\"w-full\">Details</div>\n    <button mat-icon-button matDialogClose>\n      <mat-icon>close</mat-icon>\n    </button>\n  </div>\n  <div class=\"info-dialog-content m-3\">\n    <div fxLayout=\"row\">\n      <div class=\"p-2 minw-200 details-header\">SETTING</div>\n      <div class=\"p-2 details-header\">VALUE</div>\n    </div>\n    <hr>\n    <div *ngIf=\"experimentData.experiment?.experimentName\" fxLayout=\"row\">\n      <div class=\"p-2 minw-200\">Name</div>\n      <div class=\"p-2\">{{ experimentData.experiment?.experimentName }}</div>\n    </div>\n    <div *ngIf=\"experimentData.experiment?.scriptName\" fxLayout=\"row\">\n      <div class=\"p-2 minw-200\">Script</div>\n      <div class=\"p-2\">{{ experimentData.experiment?.scriptName }}</div>\n    </div>\n    <div *ngIf=\"experimentData.experiment?.eid\" fxLayout=\"row\">\n      <div class=\"p-2 minw-200\">Experiment ID:</div>\n      <div class=\"p-2\">{{ experimentData.experiment?.eid }}</div>\n    </div>\n    <div *ngIf=\"experimentData.experiment?.startTime\" fxLayout=\"row\">\n      <div class=\"p-2 minw-200\">Started at:</div>\n      <div class=\"p-2\">{{ experimentData.experiment?.startTime * 1000 | date: 'medium' }}\n      </div>\n    </div>\n    <div *ngIf=\"experimentData.experiment?.endTime\" fxLayout=\"row\">\n      <div class=\"p-2 minw-200\">Ended at:</div>\n      <div class=\"p-2\">{{ experimentData.experiment?.endTime * 1000 | date: 'medium' }}</div>\n    </div>\n    <div *ngIf=\"experimentData.experiment?.expConfig?.proposer\" fxLayout=\"row\">\n      <div class=\"p-2 minw-200\">Technique:</div>\n      <div class=\"p-2\">{{ experimentData.experiment?.expConfig?.proposer }}</div>\n    </div>\n    <div *ngIf=\"experimentData.experiment?.expConfig?.workingdir\" fxLayout=\"row\">\n      <div class=\"p-2 minw-200\">Working Directory:</div>\n      <div class=\"p-2\">{{ experimentData.experiment?.expConfig?.workingdir }}</div>\n    </div>\n  </div>\n</ng-template>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/overview/overview.component.scss",
    "content": ".table-col {\n  /* margin-top: -1px;\n   margin-left: -1px;*/\n  text-align: center;\n}\n\n.progress-legend {\n  position: absolute;\n  width: 90% !important;\n  color: #000000 !important;\n}\n\n.hyper-table {\n  overflow-y: auto;\n  max-height: 300px;\n}\n\n.details-header {\n  font-size: 18px;\n  font-stretch: normal;\n  font-style: normal;\n  line-height: 1.22;\n  letter-spacing: normal;\n  text-align: left;\n}\n\n.minw-200 {\n  min-width: 200px;\n}\n\n.maxw-500 {\n  max-width: 500px;\n}\n\n.config-list {\n  overflow: auto !important;\n  max-height: 500px !important;\n}"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/overview/overview.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { OverviewComponent } from './overview.component';\n\ndescribe('OverviewComponent', () => {\n  let component: OverviewComponent;\n  let fixture: ComponentFixture<OverviewComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, SharedModule, BrowserAnimationsModule],\n      declarations: [OverviewComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(OverviewComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/overview/overview.component.ts",
    "content": "/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, OnInit, OnDestroy, ChangeDetectionStrategy, ChangeDetectorRef, TemplateRef } from '@angular/core';\nimport { Store, Select } from '@ngxs/store';\nimport { SelectedExperiment, Hyperparameters, BestScoreParam } from '../../store/experiment-state.model';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { Observable, Subscription, interval } from 'rxjs';\nimport { ProgressBarWidthPipe } from '../../../../shared/pipes';\nimport { Experiment } from '../../../../models/experiment.model';\nimport { Router, ActivatedRoute } from '@angular/router';\nimport { GetExperiment, GetHyperparameters, RefreshInterval } from '../../store/experiment.actions';\nimport { SnackbarService, UtilsService } from '../../../../shared/services';\nimport { startWith, map } from 'rxjs/operators';\nimport { MatTableDataSource } from '@angular/material/table';\nimport { ViewChild } from '@angular/core';\nimport { MatPaginator } from '@angular/material/paginator';\nimport { MatSort, Sort } from '@angular/material/sort';\nimport { MatDialog } from '@angular/material/dialog';\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-overview',\n  templateUrl: './overview.component.html',\n  styleUrls: ['./overview.component.scss'],\n})\nexport class OverviewComponent implements OnInit, OnDestroy {\n  @Select(ExperimentState.selectedExperiment) experiment$: Observable<SelectedExperiment>;\n  @Select(ExperimentState.experiments) experiments$: Observable<Experiment[]>;\n  @Select(ExperimentState.hyperparameters) hyperparameters$: Observable<Hyperparameters>;\n  @Select(ExperimentState.refreshInterval) refreshInterval$: Observable<number>;\n  @Select(ExperimentState.refreshingInterval) refreshingInterval$: Observable<boolean>;\n  @Select(ExperimentState.loadingExperiment) loadingExperiment$: Observable<boolean>;\n\n  @ViewChild('paginatorParams', { static: true }) paginatorParams: MatPaginator;\n  @ViewChild(MatSort, { static: true }) sortParams: MatSort;\n  @ViewChild('showDetailsDialog', { static: true }) showDetailsDialog: TemplateRef<any>;\n\n  pageSize = 8;\n  subscriptions: Subscription;\n  experimentId: number;\n  experimentData: SelectedExperiment;\n  experimentIndex: number;\n  progressBarWidth: number;\n  refreshInterval: number;\n  refreshIntervalSubscription: Subscription;\n  showDetails = false;\n  showDetailsDialogRef;\n\n  readonly PARAM_COLUMNS = {\n    NAME: 'NAME',\n    VALUE: 'BEST VALUE',\n    RANGE: 'RANGE',\n    TYPE: 'TYPE',\n  };\n  displayedResourceColumns = [\n    this.PARAM_COLUMNS.NAME,\n    this.PARAM_COLUMNS.VALUE,\n    this.PARAM_COLUMNS.RANGE,\n    this.PARAM_COLUMNS.TYPE,\n  ];\n  dataSourceParams = new MatTableDataSource<BestScoreParam>();\n\n  constructor(\n    public dialog: MatDialog,\n    readonly store: Store,\n    readonly router: Router,\n    private route: ActivatedRoute,\n    private cdRef: ChangeDetectorRef,\n    private snackbarService: SnackbarService,\n    private utilsService: UtilsService\n  ) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    this.subscriptions.add(\n      this.route?.parent?.params.subscribe((params) => {\n        this.experimentId = params['id'];\n      })\n    );\n    this.subscriptions.add(\n      this.experiment$.subscribe((experimentData: SelectedExperiment) => {\n        this.dataSourceParams.data = [];\n        this.dataSourceParams.paginator = null;\n        this.dataSourceParams.sort = null;\n        if (experimentData) {\n          this.experimentData = experimentData;\n          if (\n            experimentData &&\n            experimentData.bestScore &&\n            experimentData.bestScore.params &&\n            experimentData.bestScore.params.length\n          ) {\n            this.dataSourceParams.data = experimentData.bestScore.params.slice();\n            this.dataSourceParams.paginator = this.paginatorParams;\n            this.dataSourceParams.sort = this.sortParams;\n            this.cdRef.markForCheck();\n          }\n          const progressBarWidthPipe = new ProgressBarWidthPipe();\n          this.progressBarWidth = progressBarWidthPipe.transform({\n            value: this.experimentData.jobStats.finished,\n            maxValue: this.experimentData.jobStats.total,\n          });\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.refreshInterval$.subscribe((rInterval: number) => {\n        if (rInterval) {\n          if (this.refreshIntervalSubscription && rInterval !== this.refreshInterval) {\n            this.refreshIntervalSubscription.unsubscribe();\n          }\n          this.refreshInterval = rInterval;\n          this.refreshIntervalSubscription = this.refreshIntervalData().subscribe();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.refreshingInterval$.subscribe((refreshingInterval: boolean) => {\n        if (refreshingInterval) {\n          this.refreshData();\n          const message = 'Data refreshed!';\n          this.snackbarService.success(message);\n          this.store.dispatch(new RefreshInterval(false));\n        }\n      })\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n    this.refreshIntervalSubscription.unsubscribe();\n  }\n\n  openDetails(): void {\n    this.showDetailsDialogRef = this.dialog.open(this.showDetailsDialog, {\n      width: '650px',\n      data: null,\n      panelClass: 'info-modal',\n    });\n    this.subscriptions.add(this.showDetailsDialogRef.afterClosed().subscribe());\n  }\n\n  async toggleExperiment(id: number): Promise<void> {\n    if (!id) {\n      return;\n    }\n    this.experimentId = id;\n    this.store.dispatch(new GetExperiment(this.experimentId));\n    this.store.dispatch(new GetHyperparameters(this.experimentId));\n    await this.router.navigate([`experiment/${id}/overview`]);\n  }\n\n  refreshIntervalData(): Observable<any> {\n    if (this.refreshInterval) {\n      return interval(this.refreshInterval * 1000).pipe(\n        startWith(0),\n        map(() => {\n          console.log('Fetching overview data...');\n          this.refreshData();\n        })\n      );\n    }\n  }\n\n  refreshData(): void {\n    if (this.experimentId) {\n      this.store.dispatch(new GetExperiment(this.experimentId));\n      this.store.dispatch(new GetHyperparameters(this.experimentId));\n    }\n  }\n\n  sortParamData(sort: Sort): boolean {\n    const data = this.experimentData?.bestScore?.params.slice();\n    if (!sort.active || sort.direction === '') {\n      this.dataSourceParams.data = data;\n      return;\n    }\n\n    this.dataSourceParams.data = data.sort((a, b) => {\n      const isAsc = sort.direction === 'asc';\n      switch (sort.active) {\n        case this.PARAM_COLUMNS.NAME:\n          return this.utilsService.compare(a.name, b.name, isAsc);\n        case this.PARAM_COLUMNS.RANGE:\n          return this.utilsService.compare(a.range, b.range, isAsc);\n        case this.PARAM_COLUMNS.VALUE:\n          return this.utilsService.compare(a.value, b.value, isAsc);\n        case this.PARAM_COLUMNS.TYPE:\n          return this.utilsService.compare(a.type, b.type, isAsc);\n        default:\n          return 0;\n      }\n    });\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/pcg/pcg.component.html",
    "content": "<h1 class=\"mat-headline\">\n  The Hyperparameter Interaction Graph (HIG) helps you understand the interplay between different hyperparameters\n</h1>\n\n<div fxLayout=\"row\" fxLayoutAlign=\"space-between center\" class=\"mt-5\">\n  <app-experiment-dropdown\n    fxFlex.gt-md=\"50\"\n    fxFlex=\"100\"\n    class=\"mr-3\"\n    [experimentId]=\"experimentId\"\n    (toggleExperiment)=\"toggleExperiment($event)\"\n  >\n  </app-experiment-dropdown>\n  <mat-form-field\n    appearance=\"outline\"\n    class=\"w-full\"\n    *ngIf=\"hyperParamTraces && hyperParamTraces.length > 0 && hyperParamTraces !== null\"\n  >\n    <mat-label>Select axes</mat-label>\n    <mat-select (selectionChange)=\"selectHyperparams($event)\" multiple [(ngModel)]=\"selected\">\n      <mat-option *ngFor=\"let col of hyperParamTraces\" [value]=\"col\">\n        {{ col.label }}\n      </mat-option>\n    </mat-select>\n  </mat-form-field>\n</div>\n\n<div *ngIf=\"hyperParamTraces?.length\" class=\"w-full mb-4 mr-3\" fxLayoutAlign=\"space-between center\">\n  <button matTooltip=\"Current view will be downloaded\" mat-raised-button (click)=\"downloadGraph()\">\n    {{ 'Download graph png' | uppercase }}\n  </button>\n  <button fxFlexAlign=\"end\" mat-raised-button [matMenuTriggerFor]=\"helpMenu\">\n    <mat-icon class=\"mr-3\">help_outline</mat-icon>\n    {{ 'interaction guide' | uppercase }}\n  </button>\n</div>\n\n<div class=\"w-full\">\n  <plotly-plot\n    class=\"w-full chart\"\n    *ngIf=\"hyperParamTraces?.length\"\n    id=\"hig\"\n    divId=\"hig\"\n    [data]=\"graph.data\"\n    [layout]=\"graph.layout\"\n    [config]=\"graph.config\"\n  ></plotly-plot>\n</div>\n<h2 *ngIf=\"!hyperParamTraces?.length && selectedExperiment\">\n  {{ selectedExperiment?.experiment?.experimentName }} does not contain any results\n</h2>\n\n<mat-menu #helpMenu=\"matMenu\" xPosition=\"before\">\n  <mat-toolbar class=\"help-menu\">\n    <div class=\"w-full\" fxLayout=\"row\" fxLayoutAlign=\"end center\">\n      <button mat-icon-button>\n        <mat-icon>close</mat-icon>\n      </button>\n    </div>\n  </mat-toolbar>\n  <mat-drawer-container class=\"help-content\" fxLayout=\"column\" fxLayoutAlign=\"space-between center\" fxLayoutGap=\"30px\">\n    <div fxLayout=\"column\" fxLayoutAlign=\"start center\" fxLayoutGap=\"30px\" class=\"p-5\">\n      <div fxLayout=\"column\" class=\"w-full\">\n        <p fxFlex=\"100\" fxLayout=\"row\" fxLayoutAlign=\"start center\">\n          Hyperparameter Interaction Graph is richly interactive by default. Drag the lines along the axes to filter\n          regions and drag the axis names across the plot to rearrange variables. Double click on the selected axis to\n          go back to default view.\n        </p>\n        <div fxLayout=\"row\" fxLayoutAlign=\"center center\" fxLayoutGap=\"30px\">\n          <img src=\"assets/images/js_parcoords_ex1.gif\" />\n        </div>\n      </div>\n    </div>\n  </mat-drawer-container>\n</mat-menu>\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/pcg/pcg.component.scss",
    "content": ".headers-align .mat-expansion-panel-header-title,\n.headers-align .mat-expansion-panel-header-description {\n  flex-basis: 0;\n}\n\n.headers-align .mat-expansion-panel-header-description {\n  justify-content: space-between;\n  align-items: center;\n}\n\n.headers-align .mat-form-field + .mat-form-field {\n  margin-left: 8px;\n}\n\nmat-select {\n  font-size: 18px !important;\n  padding-top: 10px !important;\n}\n\n.chart {\n  height: 540px;\n}"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/pcg/pcg.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\nimport { RouterTestingModule } from '@angular/router/testing';\nimport { NgxsModule } from '@ngxs/store';\nimport { SharedModule } from '../../../../shared/shared.module';\n\nimport { PcgComponent } from './pcg.component';\n\ndescribe('PcgComponent', () => {\n  let component: PcgComponent;\n  let fixture: ComponentFixture<PcgComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      imports: [NgxsModule.forRoot(), RouterTestingModule, SharedModule],\n      declarations: [PcgComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(PcgComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/containers/pcg/pcg.component.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/no-unused-expressions */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/unbound-method */\nimport { Component, OnInit, ChangeDetectorRef, ChangeDetectionStrategy, OnDestroy } from '@angular/core';\nimport { Store, Select } from '@ngxs/store';\nimport { ActivatedRoute, Router } from '@angular/router';\nimport { Subscription, Observable } from 'rxjs';\nimport { GetExperiment, GetMetricVsHparams } from '../../store/experiment.actions';\nimport { ExperimentState } from '../../store/experiment.store';\nimport { AppState } from '../../../../appStore/app.store';\nimport { Theme } from '../../../../appStore/app-state.model';\nimport { ParallelCoordinates, SelectedExperiment } from '../../store/experiment-state.model';\nimport { MatSelectChange } from '@angular/material/select';\nimport { PlotlyService } from 'angular-plotly.js';\nimport { TruncatePipe } from '../../../../shared/pipes/truncate.pipe';\n\n@Component({\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  selector: 'app-pcg',\n  templateUrl: './pcg.component.html',\n  styleUrls: ['./pcg.component.scss'],\n})\nexport class PcgComponent implements OnInit, OnDestroy {\n  subscriptions: Subscription;\n  experimentId: number;\n  initialTraces: { label: string; values: [] }[];\n  selected: { label: string; values: [] }[];\n  hyperParamTraces: { label: string; values: [] }[];\n  initialAllowedParams = 3;\n  selectedExperiment: SelectedExperiment;\n\n  @Select(AppState.theme) theme$: Observable<Theme>;\n  @Select(ExperimentState.metricsVsHparams) metricsVsHparams$: Observable<any>;\n  @Select(ExperimentState.selectedExperiment) selectedExperiment$: Observable<SelectedExperiment>;\n  @Select(ExperimentState.parallelCoordinatesTrace) parallelCoordinatesTrace$: Observable<any>;\n  @Select(ExperimentState.sidenavOpen) sidenavOpen$: Observable<boolean>;\n\n  theme: Theme;\n  public graph = {\n    data: [],\n    layout: {\n      height: 540,\n      title: 'Hyperparameter Interaction Graph',\n      showlegend: true,\n    },\n    config: {\n      responsive: true,\n      displayModeBar: false,\n      scrollZoom: true,\n    },\n  };\n\n  width = window.innerWidth;\n  height = window.innerHeight;\n\n  showInteractionGuide = false;\n\n  constructor(\n    readonly store: Store,\n    private route: ActivatedRoute,\n    private cdRef: ChangeDetectorRef,\n    private plotlyService: PlotlyService,\n    readonly router: Router\n  ) {}\n\n  ngOnInit(): void {\n    this.subscriptions = new Subscription();\n    this.subscriptions.add(\n      this.route?.parent?.params.subscribe((params) => {\n        this.experimentId = params['id'];\n        if (this.experimentId) {\n          this.store.dispatch(new GetExperiment(this.experimentId));\n          this.store.dispatch(new GetMetricVsHparams(this.experimentId));\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.selectedExperiment$.subscribe((experiment: SelectedExperiment) => {\n        if (experiment) {\n          this.selectedExperiment = experiment;\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.sidenavOpen$.subscribe((sidenavOpen: boolean) => {\n        if (sidenavOpen !== null && sidenavOpen !== undefined && this.theme) {\n          window.dispatchEvent(new Event('resize'));\n          // window.resizeTo(this.width / 2, this.height / 2);\n          // window.resizeTo(\n          //   window.screen.availWidth / 2,\n          //   window.screen.availHeight / 2\n          // );\n          this.cdRef.detectChanges();\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.parallelCoordinatesTrace$.subscribe((traces: ParallelCoordinates) => {\n        if (traces) {\n          const truncate = new TruncatePipe();\n          this.hyperParamTraces = traces.dimensions.slice();\n          this.hyperParamTraces.map((trace) => {\n            trace.label = truncate.transform(trace.label, [30, '...']);\n          });\n          this.initialTraces = [];\n          this.selected = [];\n          const foundIndex = this.hyperParamTraces.findIndex((item) => item.label.toLowerCase() === 'score');\n          if (foundIndex !== -1) {\n            this.initialTraces.push(this.hyperParamTraces[foundIndex]);\n            this.hyperParamTraces.splice(foundIndex, 1);\n            for (let i = 0; i < this.initialAllowedParams; i++) {\n              if (this.hyperParamTraces[i]) {\n                // this.initialTraces.push(this.hyperParamTraces[i]);\n                this.selected.push(this.hyperParamTraces[i]);\n              }\n            }\n            // this.hyperParamTraces.splice(0, this.initialAllowedParams);\n          }\n          const initialTraces: ParallelCoordinates = {\n            line: traces.line,\n            type: traces.type,\n            dimensions: [...this.selected, ...this.initialTraces],\n          };\n          this.graph.data = [initialTraces];\n          this.cdRef.markForCheck();\n        } else {\n          this.hyperParamTraces = [];\n          this.initialTraces = [];\n          this.selected = [];\n          this.graph.data = [];\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    this.subscriptions.add(\n      this.theme$.subscribe((theme: Theme) => {\n        if (theme) {\n          this.theme = theme;\n          theme.name === 'dark'\n            ? (this.graph.layout = this.changeDarkModeChart())\n            : (this.graph.layout = this.changeLightModeChart());\n          this.cdRef.markForCheck();\n        }\n      })\n    );\n    // this.plotlyService.getPlotly().Fx.hover('test', ['HEEEELOOO']);\n  }\n\n  ngOnDestroy(): void {\n    this.subscriptions.unsubscribe();\n  }\n\n  downloadGraph(): void {\n    const graphDiv = this.plotlyService.getInstanceByDivId('hig');\n    this.plotlyService\n      .getPlotly()\n      .downloadImage(graphDiv, { format: 'png', width: '1000', height: '450', filename: 'hig' });\n  }\n\n  selectHyperparams(event: MatSelectChange): void {\n    if (!event) {\n      return;\n    }\n    this.selected = event.value;\n    this.graph.data[0].dimensions = [...this.selected, ...this.initialTraces];\n    this.cdRef.markForCheck();\n  }\n\n  cleanData(): void {\n    this.graph.data = [];\n    this.initialTraces = [];\n    this.hyperParamTraces = [];\n    this.cdRef.markForCheck();\n  }\n\n  async toggleExperiment(id: number): Promise<void> {\n    if (!id) {\n      return;\n    }\n    this.experimentId = id;\n    this.cleanData();\n    this.store.dispatch(new GetExperiment(this.experimentId));\n    this.store.dispatch(new GetMetricVsHparams(this.experimentId));\n    await this.router.navigate([`experiment/${id}/hig`]);\n  }\n\n  changeLightModeChart(): any {\n    return {\n      height: 540,\n      title: 'Hyperparameter Interaction Graph',\n      showlegend: true,\n      hovermode: 'closest',\n    };\n  }\n\n  changeDarkModeChart(): any {\n    return {\n      hovermode: 'closest',\n      plot_bgcolor: '#424242',\n      paper_bgcolor: '#424242',\n      height: 540,\n      title: {\n        text: 'Hyperparameter Interaction Graph',\n        font: {\n          color: '#ffffff',\n        },\n      },\n      showlegend: true,\n      // legend: {\n      //   color: '#ffffff',\n      //   font: {\n      //     color: '#ffffff',\n      //   },\n      // },\n      // gridcolor: '#ffffff',\n      // tickfont: {\n      //   color: '#ffffff',\n      // },\n      // xaxis: {\n      //   showgrid: true,\n      //   zeroline: true,\n      //   showline: true,\n      //   mirror: 'ticks',\n      //   gridcolor: '#bdbdbd',\n      //   gridwidth: 2,\n      //   zerolinecolor: '#969696',\n      //   zerolinewidth: 4,\n      //   linecolor: '#636363',\n      //   linewidth: 6,\n      // },\n      // yaxis: {\n      //   showgrid: true,\n      //   zeroline: true,\n      //   showline: true,\n      //   mirror: 'ticks',\n      //   gridcolor: '#bdbdbd',\n      //   gridwidth: 2,\n      //   zerolinecolor: '#969696',\n      //   zerolinewidth: 4,\n      //   linecolor: '#636363',\n      //   linewidth: 6,\n      // },\n    };\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/experiment-routing.module.ts",
    "content": "import { NgModule } from '@angular/core';\nimport { Routes, RouterModule } from '@angular/router';\nimport * as fromContainers from './containers';\nimport { DBGuard } from '../../guards/db.guard';\n\nconst routes: Routes = [\n  {\n    path: '',\n    canActivate: [DBGuard],\n    component: fromContainers.MainComponent,\n    children: [\n      { path: '', redirectTo: 'list', pathMatch: 'full' },\n      {\n        path: 'list',\n        component: fromContainers.ListComponent,\n      },\n      {\n        path: 'notification',\n        component: fromContainers.NotificationComponent,\n      },\n      { path: 'create', component: fromContainers.CreateExperimentComponent },\n      { path: 'create/:id', component: fromContainers.CreateExperimentComponent },\n      {\n        path: 'experiment/:id',\n        component: fromContainers.ExperimentComponent,\n        children: [\n          { path: '', redirectTo: 'overview', pathMatch: 'full' },\n          { path: 'overview', component: fromContainers.OverviewComponent },\n          { path: 'job-status', component: fromContainers.JobStatusComponent },\n          { path: 'hig', component: fromContainers.PcgComponent },\n          { path: 'multi', component: fromContainers.MultiExpCompComponent },\n          { path: 'interm', component: fromContainers.IntermResultsComponent },\n        ],\n      },\n    ],\n  },\n  { path: 'initialize', component: fromContainers.InitializeComponent },\n];\n@NgModule({\n  imports: [RouterModule.forChild(routes)],\n  exports: [RouterModule],\n})\nexport class ExperimentRoutingModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/experiment.module.ts",
    "content": "import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\n\nimport { ExperimentRoutingModule } from './experiment-routing.module';\nimport { SharedModule } from '../../shared/shared.module';\n\nimport { NgxsModule } from '@ngxs/store';\nimport { ExperimentState } from './store/experiment.store';\nimport { ExperimentService } from './services/experiment.service';\n\nimport * as fromContainers from './containers';\nimport * as fromComponents from './components';\nimport { MatTableExporterModule } from 'mat-table-exporter';\n\n@NgModule({\n  declarations: [...fromContainers.containers, ...fromComponents.components],\n  imports: [\n    CommonModule,\n    ExperimentRoutingModule,\n    SharedModule,\n    NgxsModule.forFeature([ExperimentState]),\n    MatTableExporterModule,\n  ],\n  providers: [ExperimentService],\n})\nexport class ExperimentModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/services/experiment.service.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\nimport { Injectable } from '@angular/core';\nimport { Observable } from 'rxjs';\n\nimport { ApiService } from '../../../shared/services/api.service';\nimport { HelperService } from '../../../shared/services/helper.service';\nimport {\n  JobStatusSortCriteria,\n  StartExperimentModel,\n  SetupDB,\n  CreateExperimentModel,\n} from '../store/experiment-state.model';\n\nconst endpoint = 'experiments';\n\n@Injectable({\n  providedIn: 'root',\n})\nexport class ExperimentService {\n  constructor(private apiService: ApiService, private helperService: HelperService) {}\n\n  getExperiments<T>(): Observable<T[]> {\n    return this.apiService.get<T[]>(`${endpoint}`);\n  }\n\n  getExperiment<T>(id: number): Observable<T> {\n    if (!id) {\n      return;\n    }\n    return this.apiService.get<T>(`${endpoint}/${id}`);\n  }\n\n  getHyperparameters<T>(id: number): Observable<T> {\n    if (!id) {\n      return;\n    }\n    return this.apiService.get<T>(`hps_space?eid=${id}`);\n  }\n\n  getInterimResults<T>(): Observable<T> {\n    return this.apiService.get<T>(`interm_res`);\n  }\n\n  getExperimentInterimResults<T>(eid: number, label?: string): Observable<T> {\n    if (!eid) {\n      return;\n    }\n    const labelQuery = label && label !== 'score' ? `/${label}` : '';\n    return this.apiService.get<T>(`interm_res/${eid}${labelQuery}`);\n  }\n\n  getJobsStatus<T>(eid: number, sortCriteria: JobStatusSortCriteria): Observable<T> {\n    if (!eid || sortCriteria === null || sortCriteria === undefined) {\n      return;\n    }\n    return this.apiService.get<T>(`job_status?sortby=${sortCriteria.sortby}&asc=${sortCriteria.asc}&eid=${eid}`);\n  }\n\n  getMetricsVsHparams<T>(id: number): Observable<T> {\n    if (!id) {\n      return;\n    }\n    return this.apiService.get<T>(`metrics_vs_hparams?eid=${id}`);\n  }\n\n  getExperimentHistoryBest<T>(id: number, n: number, sortby: string, label?: string): Observable<T> {\n    if (!id || !n || !sortby) {\n      return;\n    }\n    const labelQuery = label && label !== 'score' ? `/${label}` : '';\n    return this.apiService.get<T>(`experiment_history_best/${id}${labelQuery}?n=${n}&sortby=${sortby}`);\n  }\n\n  getAllExperimentHistoryBest<T>(n: number, sortby: string, label?: string): Observable<T> {\n    if (!n) {\n      return;\n    }\n    const labelQuery = label && label !== 'score' ? `/${label}` : '';\n    const sort = sortby ? `&sortby=${sortby}` : '';\n    return this.apiService.get<T>(`experiment_history_best${labelQuery}?n=${n}${sort}`);\n  }\n\n  startExperiment<T>(data: StartExperimentModel): Observable<T> {\n    if (!data) {\n      return;\n    }\n    return this.apiService.post<T>(`start_experiment`, { ...data });\n  }\n\n  stopExperiment<T>(eid: number): Observable<T> {\n    if (!eid) {\n      return;\n    }\n    return this.apiService.post<T>(`stop_experiment`, { eid });\n  }\n\n  setupDB<T>(params: SetupDB): Observable<T> {\n    if (!params) {\n      return;\n    }\n    return this.apiService.post<T>(`setup`, { ...params });\n  }\n\n  createExperiment<T>(data: CreateExperimentModel): Observable<T> {\n    if (!data) {\n      return;\n    }\n    return this.apiService.post<T>(`create_experiment`, data);\n  }\n\n  refreshAll<T>(): Observable<T> {\n    return this.apiService.post<T>(`refresh_all`);\n  }\n\n  deleteExperiment(eid: number): Observable<any> {\n    if (!eid) {\n      return;\n    }\n    return this.apiService.delete(`experiment/${eid}`);\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/store/experiment-state.model.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable @typescript-eslint/no-explicit-any */\nimport { EXPERIMENT_VIEW_TYPE } from '../../../models/enum/experiment-view-type.enum';\nimport { Experiment } from '../../../models/experiment.model';\nimport { NavItem } from '../../../models/nav-items.model';\nimport { Resource } from '../../../models/resource.model';\n\nexport interface ExperimentStateModel {\n  experiments: Experiment[];\n  experimentsMultiplier: number;\n  resources: Resource[];\n  selectedExperiment: SelectedExperiment;\n  hyperparameters: Hyperparameters;\n  jobStatusSortCriteria: JobStatusSortCriteria;\n  jobs: JobStatus[];\n  jobsGraphData?: PlotlyScatterGraph;\n  jobsMultipleResults: {\n    labels: string[];\n    selectedLabel: string;\n  };\n  firstValidJobNumber: number;\n  jobsOptimizationGraphData?: PlotlyScatterGraph;\n  jobsMultiplier: number;\n  metricsVsHparams: any;\n  parallelCoordinatesTrace: ParallelCoordinates;\n  refreshIntervalOptions: number[];\n  refreshInterval: number;\n  refreshingInterval: boolean;\n  sidenavOpen: boolean;\n  experimentViewType: EXPERIMENT_VIEW_TYPE;\n  intermResults: IntermediateExperiment[];\n  interimExperiment: IntermediateExperiment;\n  navItems: NavItem[];\n  loadingExperiment: boolean;\n  loadingAllExperiments: boolean;\n  loadingIntermResults: boolean;\n}\n\nexport interface SelectedExperiment {\n  bestScore: BestScore;\n  experiment: Experiment;\n  jobStats: {\n    finished: number;\n    unfinished: number;\n    total: number;\n  };\n}\n\nexport interface BestScore {\n  proposer?: string;\n  score: number;\n  params?: BestScoreParam[];\n  configList?: any;\n}\n\nexport interface BestScoreParam {\n  name: string;\n  range: any;\n  type: string;\n  value: number;\n  interval: number;\n  n: number;\n}\n\nexport interface Hyperparameters {\n  numSamples: number;\n  parameters: any;\n  proposer: string;\n}\n\nexport interface JobStatusSortCriteria {\n  sortby: string;\n  asc: 0 | 1;\n}\n\nexport interface JobStatus {\n  eid: number;\n  endTime: number;\n  jid: number;\n  jobConfig: any;\n  rid: number;\n  score: any;\n  startTime: number;\n  status: string;\n  tableData?: any;\n  tableFullData?: any;\n  tableHyperParams?: any;\n}\n\nexport interface PlotlyScatterGraph {\n  x: number[];\n  y: number[];\n  type: string;\n  mode: string;\n}\n\nexport interface ExperimentHistory {\n  jid: number;\n  jobConfig: any;\n  score: any;\n}\n\nexport interface StartExperimentModel {\n  eid: number;\n}\n\nexport interface SetupDB {\n  work_dir: string;\n  ini_path: string;\n  overwrite: boolean;\n  cpu?: number;\n  aws_file?: string;\n  gpu_file?: string;\n  node_file?: string;\n}\n\nexport interface CreateExperimentModel {\n  json_config_body: any;\n  cwd: string;\n}\n\nexport interface ParallelCoordinates {\n  dimensions: { label: string; values: [] }[];\n  line: any;\n  type: string;\n}\n\nexport interface IntermediateExperiment {\n  eid: number;\n  name: string;\n  scriptName: string;\n  jobs?: IntermediateJob[];\n  multResLabels?: string[];\n  selectedLabel?: string;\n}\n\nexport interface IntermediateJob {\n  jid: number;\n  interimResults: IntermediateResult[];\n}\n\nexport interface IntermediateResult {\n  irid: number;\n  receiveTime: number;\n  score: number;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/store/experiment.actions.ts",
    "content": "import { EXPERIMENT_VIEW_TYPE } from '../../../models/enum/experiment-view-type.enum';\nimport {\n  JobStatusSortCriteria,\n  StartExperimentModel,\n  SetupDB,\n  CreateExperimentModel,\n  IntermediateExperiment,\n} from './experiment-state.model';\n\nexport class GetExperiments {\n  static readonly type = '[Experiment] Getting list of experiments';\n}\n\nexport class GetExperiment {\n  static readonly type = '[Experiment] Get experiment by id';\n  constructor(public payload: number) {}\n}\n\nexport class GetHyperparameters {\n  static readonly type = '[Experiment] Get hyperparameters by experiment id';\n  constructor(public payload: number) {}\n}\n\nexport class GetJobStatus {\n  static readonly type = '[Experiment] Get job status by experiment id';\n  constructor(\n    public payload: {\n      eid: number;\n      sortCriteria?: JobStatusSortCriteria;\n    }\n  ) {}\n}\n\nexport class GetExperimentHistory {\n  static readonly type = '[Experiment] Get experiment history best by experiment id';\n  constructor(\n    public payload: {\n      eid: number;\n      n?: number;\n      sortby?: string;\n    }\n  ) {}\n}\n\n// export class GetExperimentsHistoryBest {\n//   static readonly type = '[Experiment] Get experiments history best';\n//   constructor(public payload?: number) { }\n// }\n\nexport class GetMetricVsHparams {\n  static readonly type = '[Experiment] Get metrics vs hyperparameters by experiment id';\n  constructor(public payload: number) {}\n}\n\nexport class GetInterimResults {\n  static readonly type = '[Experiment] Get intermediate results';\n}\n\nexport class SetInterimExperiment {\n  static readonly type = '[Experiment] Set intermediate experiment';\n  constructor(public payload: IntermediateExperiment) {}\n}\n\nexport class GetExperimentInterimResults {\n  static readonly type = '[Experiment] Get experiment intermediate results';\n  constructor(public payload: { eid: number; label?: string }) {}\n}\n\nexport class SetRefreshInterval {\n  static readonly type = '[Config] Set refresh interval value';\n  constructor(public payload: number) {}\n}\n\nexport class RefreshInterval {\n  static readonly type = '[Config] Refresh interval';\n  constructor(public payload: boolean) {}\n}\n\nexport class StartExperiment {\n  static readonly type = '[Experiment] Start experiment by id';\n  constructor(public payload: StartExperimentModel) {}\n}\n\nexport class StopExperiment {\n  static readonly type = '[Experiment] Stop experiment by id';\n  constructor(public payload: number) {}\n}\n\nexport class SetupDatabase {\n  static readonly type = '[Database] Initialize setup database';\n  constructor(public payload: SetupDB) {}\n}\n\nexport class CreateExperiment {\n  static readonly type = '[Experiment] Create experiment';\n  constructor(public payload: CreateExperimentModel) {}\n}\n\nexport class ToggleSideNav {\n  static readonly type = '[Sidenav] Toggle sidenav';\n}\n\nexport class RefreshAll {\n  static readonly type = '[Experiment] Refresh all';\n}\n\nexport class DeleteExperiment {\n  static readonly type = '[Experiment] Delete experiment';\n  constructor(public payload: number) {}\n}\n\nexport class SetExperimentDisplayView {\n  static readonly type = '[Experiment] Set experiment display view';\n  constructor(public payload: EXPERIMENT_VIEW_TYPE) {}\n}\n\nexport class ChangeJobsGraphForLabel {\n  static readonly type = '[Experiment] Change job status graph for multiple labels';\n  constructor(public payload: string) {}\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/experiment/store/experiment.store.ts",
    "content": "/* eslint-disable @typescript-eslint/no-unused-vars */\n/* eslint-disable @typescript-eslint/restrict-template-expressions */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/no-unsafe-return */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\nimport { Injectable } from '@angular/core';\nimport { HttpErrorResponse } from '@angular/common/http';\nimport { throwError, Observable } from 'rxjs';\nimport { catchError, map, tap } from 'rxjs/operators';\nimport { State, Action, StateContext, Selector, Store } from '@ngxs/store';\nimport { Navigate } from '@ngxs/router-plugin';\nimport { HelperService } from '../../../shared/services/helper.service';\nimport { SnackbarService } from '../../../shared/services/snackbar.service';\nimport {\n  GetExperiments,\n  GetExperiment,\n  GetHyperparameters,\n  GetJobStatus,\n  GetMetricVsHparams,\n  SetRefreshInterval,\n  GetExperimentHistory,\n  StartExperiment,\n  StopExperiment,\n  SetupDatabase,\n  CreateExperiment,\n  RefreshInterval,\n  ToggleSideNav,\n  RefreshAll,\n  GetInterimResults,\n  DeleteExperiment,\n  SetExperimentDisplayView,\n  SetInterimExperiment,\n  GetExperimentInterimResults,\n  ChangeJobsGraphForLabel,\n} from './experiment.actions';\nimport {\n  ExperimentStateModel,\n  SelectedExperiment,\n  Hyperparameters,\n  JobStatus,\n  PlotlyScatterGraph,\n  ParallelCoordinates,\n  IntermediateExperiment,\n  IntermediateJob,\n} from './experiment-state.model';\nimport { ExperimentService } from '../services/experiment.service';\nimport { Experiment } from '../../../models/experiment.model';\nimport { Resource } from '../../../models/resource.model';\nimport { UtilsService } from '../../../shared/services';\nimport { FirstLetterUppercasePipe } from '../../../shared/pipes';\nimport { AddNotification, GetDatabaseLink } from '../../../appStore/app.actions';\nimport { NavItem } from '../../../models/nav-items.model';\nimport { NAV_ITEMS } from '../../../models/data/nav-items';\nimport { AppNotification } from '../../../appStore/app-state.model';\nimport { NOTIFICATION_TYPE } from '../../../models/enum/notification-type.enum';\nimport { EXPERIMENT_VIEW_TYPE } from '../../../models/enum/experiment-view-type.enum';\nimport { TruncatePipe } from '../../../shared/pipes/truncate.pipe';\n\n@State<ExperimentStateModel>({\n  name: 'experiment',\n  defaults: {\n    experiments: [],\n    firstValidJobNumber: null,\n    intermResults: null,\n    interimExperiment: null,\n    experimentsMultiplier: 1,\n    resources: [],\n    selectedExperiment: null,\n    hyperparameters: null,\n    jobStatusSortCriteria: {\n      sortby: 'jid',\n      asc: 1,\n    },\n    jobs: [],\n    jobsGraphData: null,\n    jobsOptimizationGraphData: null,\n    jobsMultipleResults: {\n      labels: [],\n      selectedLabel: null,\n    },\n    jobsMultiplier: 1,\n    metricsVsHparams: null,\n    parallelCoordinatesTrace: null,\n    refreshIntervalOptions: [5, 10, 30, 60],\n    refreshInterval: 60,\n    refreshingInterval: false,\n    sidenavOpen:\n      localStorage.getItem('sidenavOpen') !== null && localStorage.getItem('sidenavOpen') !== undefined\n        ? JSON.parse(localStorage.getItem('sidenavOpen'))\n        : true,\n    navItems: NAV_ITEMS,\n    loadingExperiment: false,\n    loadingAllExperiments: false,\n    loadingIntermResults: false,\n    experimentViewType:\n      (localStorage.getItem('experimentViewType') as EXPERIMENT_VIEW_TYPE) || EXPERIMENT_VIEW_TYPE.LIST,\n  },\n})\n@Injectable()\nexport class ExperimentState {\n  constructor(\n    readonly service: ExperimentService,\n    readonly helperService: HelperService,\n    readonly snackbarService: SnackbarService,\n    readonly utilsService: UtilsService,\n    readonly store: Store\n  ) {}\n\n  @Selector()\n  static loadingExperiment(state: ExperimentStateModel): boolean {\n    return state.loadingExperiment;\n  }\n\n  @Selector()\n  static loadingAllExperiments(state: ExperimentStateModel): boolean {\n    return state.loadingAllExperiments;\n  }\n\n  @Selector()\n  static loadingIntermResults(state: ExperimentStateModel): boolean {\n    return state.loadingIntermResults;\n  }\n\n  @Selector()\n  static experimentsMultiplier(state: ExperimentStateModel): number {\n    return state.experimentsMultiplier;\n  }\n\n  @Selector()\n  static refreshInterval(state: ExperimentStateModel): number {\n    return state.refreshInterval;\n  }\n\n  @Selector()\n  static refreshIntervalOptions(state: ExperimentStateModel): number[] {\n    return state.refreshIntervalOptions;\n  }\n\n  @Selector()\n  static refreshingInterval(state: ExperimentStateModel): boolean {\n    return state.refreshingInterval;\n  }\n\n  @Selector()\n  static experiments(state: ExperimentStateModel): Experiment[] {\n    return state.experiments;\n  }\n\n  @Selector()\n  static selectedExperiment(state: ExperimentStateModel): SelectedExperiment {\n    return state.selectedExperiment;\n  }\n\n  @Selector()\n  static resources(state: ExperimentStateModel): Resource[] {\n    return state.resources;\n  }\n\n  @Selector()\n  static hyperparameters(state: ExperimentStateModel): Hyperparameters {\n    return state.hyperparameters;\n  }\n\n  @Selector()\n  static metricsVsHparams(state: ExperimentStateModel): any {\n    return state.metricsVsHparams;\n  }\n\n  @Selector()\n  static parallelCoordinatesTrace(state: ExperimentStateModel): ParallelCoordinates {\n    return state.parallelCoordinatesTrace;\n  }\n\n  @Selector()\n  static jobs(state: ExperimentStateModel): JobStatus[] {\n    return state.jobs;\n  }\n\n  @Selector()\n  static jobMultipleResulsLabels(state: ExperimentStateModel): string[] {\n    return state.jobsMultipleResults.labels;\n  }\n\n  @Selector()\n  static jobMultipleResulsSelectedLabel(state: ExperimentStateModel): string {\n    return state.jobsMultipleResults.selectedLabel;\n  }\n\n  @Selector()\n  static jobsGraphData(state: ExperimentStateModel): PlotlyScatterGraph {\n    return state.jobsGraphData;\n  }\n\n  @Selector()\n  static jobsOptimizationGraphData(state: ExperimentStateModel): PlotlyScatterGraph {\n    return state.jobsOptimizationGraphData;\n  }\n\n  @Selector()\n  static sidenavOpen(state: ExperimentStateModel): boolean {\n    return state.sidenavOpen;\n  }\n\n  @Selector()\n  static intermResults(state: ExperimentStateModel): IntermediateExperiment[] | null {\n    return state.intermResults;\n  }\n\n  @Selector()\n  static interimExperiment(state: ExperimentStateModel): IntermediateExperiment {\n    return state.interimExperiment;\n  }\n\n  @Selector()\n  static interimExperimentJobs(state: ExperimentStateModel): IntermediateJob[] {\n    return state.interimExperiment.jobs;\n  }\n\n  @Selector()\n  static interimExperimentMultResLabels(state: ExperimentStateModel): string[] {\n    return state.interimExperiment.multResLabels;\n  }\n\n  @Selector()\n  static interimExperimentSelectedLabel(state: ExperimentStateModel): string {\n    return state.interimExperiment.selectedLabel;\n  }\n\n  @Selector()\n  static navItems(state: ExperimentStateModel): NavItem[] {\n    return state.navItems;\n  }\n\n  @Selector()\n  static experimentViewType(state: ExperimentStateModel): EXPERIMENT_VIEW_TYPE {\n    return state.experimentViewType;\n  }\n\n  @Action(ToggleSideNav)\n  toggleSideNav(ctx: StateContext<ExperimentStateModel>): Observable<any> {\n    const state = ctx.getState();\n    localStorage.setItem('sidenavOpen', JSON.stringify(!state.sidenavOpen));\n    ctx.patchState({\n      sidenavOpen: !state.sidenavOpen,\n    });\n    return;\n  }\n\n  @Action(SetRefreshInterval)\n  setRefreshInterval(ctx: StateContext<ExperimentStateModel>, { payload }: SetRefreshInterval): Observable<any> {\n    if (!payload) {\n      return;\n    }\n    ctx.patchState({\n      refreshInterval: payload,\n    });\n    return;\n  }\n\n  @Action(SetExperimentDisplayView)\n  setExperimentDisplayView(\n    ctx: StateContext<ExperimentStateModel>,\n    { payload }: SetExperimentDisplayView\n  ): Observable<any> {\n    if (!payload) {\n      return;\n    }\n    localStorage.setItem('experimentViewType', payload);\n    ctx.patchState({\n      experimentViewType: payload,\n    });\n    return;\n  }\n\n  @Action(RefreshInterval)\n  refreshInterval(ctx: StateContext<ExperimentStateModel>, { payload }: RefreshInterval): Observable<any> {\n    ctx.patchState({\n      refreshingInterval: payload,\n    });\n    return;\n  }\n\n  @Action(GetExperiments)\n  getExperiments(ctx: StateContext<ExperimentStateModel>): Observable<any> {\n    ctx.patchState({\n      loadingAllExperiments: true,\n    });\n    const currentExperiments = ctx.getState().experiments;\n    return this.service.getExperiments().pipe(\n      catchError((err: HttpErrorResponse) => {\n        ctx.patchState({\n          loadingAllExperiments: false,\n        });\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      }),\n      map((res: any) => {\n        if (res) {\n          const experiments = [];\n          res.experiment.map((experiment: any) => {\n            const newExperiment = {\n              ...(this.utilsService.keysToCamel(experiment) as Experiment),\n              scores: JSON.parse(experiment['scores']),\n              jobs: JSON.parse(experiment['jobs']),\n              expConfigDetails: JSON.parse(experiment['exp_config']),\n            };\n            if (currentExperiments.length) {\n              currentExperiments.map((currentExperiment: Experiment) => {\n                if (currentExperiment.eid === newExperiment.eid && currentExperiment.status !== newExperiment.status) {\n                  const message = `Experiment ${newExperiment.experimentName} changed status from ${currentExperiment.status} to ${newExperiment.status}`;\n                  const notification: AppNotification = {\n                    type: NOTIFICATION_TYPE.INFO,\n                    receivedAt: new Date().getTime(),\n                    message,\n                  };\n                  this.store.dispatch(new AddNotification(notification));\n                  this.snackbarService.info(message);\n                }\n              });\n            }\n            return experiments.push(newExperiment);\n          });\n          const sortedExperiments = experiments.slice().sort((a, b) => this.utilsService.compare(a.eid, b.eid, false));\n          // console.log('sortedExperiments: ', sortedExperiments);\n          ctx.patchState({\n            experiments: sortedExperiments,\n            resources: res.resource || [],\n            loadingAllExperiments: false,\n          });\n        }\n      })\n    );\n  }\n\n  @Action(GetExperiment)\n  getExperiment(ctx: StateContext<ExperimentStateModel>, { payload }: GetExperiment): Observable<any> {\n    if (!payload) {\n      return;\n    }\n    ctx.patchState({\n      loadingExperiment: true,\n      selectedExperiment: null,\n    });\n    return this.service.getExperiment(payload).pipe(\n      catchError((err: HttpErrorResponse) => {\n        ctx.patchState({\n          loadingExperiment: false,\n        });\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      }),\n      map((res: any) => {\n        if (res) {\n          const experimentRes = this.utilsService.keysToCamel(res) as SelectedExperiment;\n          const selectedExperiment: SelectedExperiment = {\n            bestScore: experimentRes.bestScore,\n            experiment: experimentRes.experiment,\n            jobStats: experimentRes.jobStats,\n          };\n          // const sortedScoreParams = {};\n          // Object.keys(selectedExperiment.bestScore)\n          //   .sort()\n          //   .forEach((key) => (sortedScoreParams[key] = selectedExperiment.bestScore[key]));\n          // selectedExperiment.bestScore = sortedScoreParams;\n          if (selectedExperiment.bestScore && selectedExperiment.bestScore.configList) {\n            const configList = JSON.parse(selectedExperiment.bestScore.configList);\n            selectedExperiment.bestScore.configList = configList;\n          }\n          const config = JSON.parse(selectedExperiment.experiment.expConfig);\n          selectedExperiment.experiment.expConfig = config;\n          ctx.patchState({\n            selectedExperiment,\n            loadingExperiment: false,\n          });\n        }\n      })\n    );\n  }\n\n  @Action(GetHyperparameters)\n  getHyperparameters(ctx: StateContext<ExperimentStateModel>, { payload }: GetHyperparameters): Observable<any> {\n    if (!payload) {\n      return;\n    }\n    return this.service.getHyperparameters(payload).pipe(\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      }),\n      map((res: any) => {\n        if (res) {\n          const hyperparamsRes = this.utilsService.keysToCamel(res['exp_config']) as Hyperparameters;\n          const params = JSON.parse(hyperparamsRes.parameters);\n          hyperparamsRes.parameters = params.sort((a, b) => this.utilsService.compare(a.name, b.name, true));\n          ctx.patchState({\n            hyperparameters: hyperparamsRes,\n          });\n        }\n      })\n    );\n  }\n\n  @Action(GetJobStatus)\n  getJobStatus(ctx: StateContext<ExperimentStateModel>, { payload }: GetJobStatus): Observable<any> {\n    const state = ctx.getState();\n    const selectedLabel = state.jobsMultipleResults.selectedLabel || 'score';\n\n    if (!payload.eid) {\n      return;\n    }\n    const sortCriteria = payload.sortCriteria || state.jobStatusSortCriteria;\n    return this.service.getJobsStatus(payload.eid, sortCriteria).pipe(\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      }),\n      map((res: any) => {\n        if (res && res['job']) {\n          let labels = [];\n          const flu = new FirstLetterUppercasePipe();\n          if (res['mult_res_labels']) {\n            labels = res['mult_res_labels'];\n            labels.push('score');\n          }\n          const jobs = [];\n          const jobsGraphData = {\n            x: [],\n            y: [],\n            hovertext: [],\n            hoverinfo: 'text',\n            type: 'scatter',\n            mode: 'markers',\n            name: flu.transform(selectedLabel),\n            line: {\n              color: '#3DDF7E',\n            },\n          };\n          const truncate = new TruncatePipe();\n          let hoverText: string;\n          let jobNumber = 1;\n          let firstValidJobNumber = null;\n          res['job'].map((job: any) => {\n            const newJob = this.utilsService.keysToCamel(job) as JobStatus;\n            newJob.tableData = {};\n            newJob.tableHyperParams = {};\n            newJob.tableFullData = {};\n            newJob.tableData['job ID'] = newJob.jid;\n            newJob.tableFullData['job ID'] = newJob.jid;\n            newJob.tableData['resource ID'] = newJob.rid;\n            newJob.tableFullData['resource ID'] = newJob.rid;\n            newJob.tableData['status'] = flu.transform(newJob.status);\n            newJob.tableFullData['status'] = flu.transform(newJob.status);\n            newJob.tableData['score'] = newJob.score;\n            newJob.tableFullData['score'] = newJob.score;\n            newJob.tableData['start time'] = newJob.startTime;\n            newJob.tableFullData['start time'] = newJob.startTime;\n            newJob.tableData['end time'] = newJob.endTime;\n            newJob.tableFullData['end time'] = newJob.endTime;\n            if (selectedLabel) {\n              if (job[selectedLabel] !== null && job[selectedLabel] !== undefined) {\n                hoverText = `${flu.transform(selectedLabel)} ${job[selectedLabel]}<br>`;\n                hoverText += `Job ID: ${job.jid}<br>`;\n                jobsGraphData.x.push(jobNumber);\n                jobsGraphData.y.push(job[selectedLabel]);\n                if (firstValidJobNumber === null && this.utilsService.isNumber(job[selectedLabel])) {\n                  firstValidJobNumber = jobNumber;\n                }\n                jobNumber++;\n              }\n            } else if (newJob.score !== null && newJob.score !== undefined) {\n              hoverText = `${selectedLabel}: ${newJob.score}<br>`;\n              hoverText += `Job ID: ${newJob.jid}<br>`;\n              jobsGraphData.x.push(jobNumber);\n              jobsGraphData.y.push(newJob.score);\n              if (firstValidJobNumber === null && this.utilsService.isNumber(newJob.score)) {\n                firstValidJobNumber = jobNumber;\n              }\n              jobNumber++;\n            }\n            const config = JSON.parse(job['job_config']);\n            newJob.jobConfig = config;\n            Object.entries(newJob.jobConfig).map((object) => {\n              newJob.tableFullData[`${object[0]}`] = object[1];\n              newJob.tableHyperParams[`${object[0]}`] = object[1];\n              if (newJob.score !== null && newJob.score !== undefined) {\n                hoverText += `${flu.transform(truncate.transform(object[0], [100, '...']))}: ${object[1]}<br>`;\n              }\n            });\n            if (labels.length) {\n              labels.map((label: string) => {\n                if (\n                  label !== 'score' &&\n                  !Object.keys(newJob.tableFullData).includes(label) &&\n                  !Object.keys(newJob.tableHyperParams).includes(label)\n                ) {\n                  newJob.tableFullData[label] = newJob[label];\n                  newJob.tableHyperParams[label] = newJob[label];\n                }\n              });\n            }\n            if (newJob.score !== null && newJob.score !== undefined) {\n              jobsGraphData.hovertext.push(hoverText);\n            }\n            return jobs.push(newJob);\n          });\n          ctx.patchState({\n            jobs,\n            jobsGraphData,\n            firstValidJobNumber,\n            jobsMultipleResults: {\n              ...state.jobsMultipleResults,\n              labels,\n              selectedLabel: selectedLabel || (labels && labels.length ? labels[labels.length - 1] : null),\n            },\n          });\n          return;\n        }\n      })\n    );\n  }\n\n  @Action(ChangeJobsGraphForLabel)\n  changeJobsGraphForLabel(\n    ctx: StateContext<ExperimentStateModel>,\n    { payload }: ChangeJobsGraphForLabel\n  ): Observable<any> {\n    const state = ctx.getState();\n    const flu = new FirstLetterUppercasePipe();\n    if (!payload) {\n      return;\n    }\n    const jobs = state.jobs;\n    const jobsGraphData = {\n      x: [],\n      y: [],\n      hovertext: [],\n      hoverinfo: 'text',\n      type: 'scatter',\n      mode: 'markers',\n      name: flu.transform(payload),\n      line: {\n        color: '#3DDF7E',\n      },\n    };\n    const truncate = new TruncatePipe();\n    let hoverText: string;\n    let jobNumber = 1;\n    let firstValidJobNumber = null;\n    jobs.map((job) => {\n      if (job[payload] !== null && job[payload] !== undefined) {\n        hoverText = `${flu.transform(payload)} ${job[payload]}<br>`;\n        hoverText += `Job ID: ${job.jid}<br>`;\n        jobsGraphData.x.push(jobNumber);\n        jobsGraphData.y.push(job[payload]);\n        if (firstValidJobNumber === null && this.utilsService.isNumber(job[payload])) {\n          firstValidJobNumber = jobNumber;\n        }\n        jobNumber++;\n      }\n      Object.entries(job.jobConfig).map((object) => {\n        if (job[payload] !== null && job[payload] !== undefined) {\n          hoverText += `${flu.transform(truncate.transform(object[0], [100, '...']))}: ${object[1]}<br>`;\n        }\n      });\n      if (job[payload] !== null && job[payload] !== undefined) {\n        jobsGraphData.hovertext.push(hoverText);\n      }\n      ctx.patchState({\n        jobsGraphData,\n        firstValidJobNumber,\n        jobsMultipleResults: {\n          ...state.jobsMultipleResults,\n          selectedLabel: payload,\n        },\n      });\n      return;\n    });\n  }\n\n  @Action(GetExperimentHistory)\n  getExperimentHistory(ctx: StateContext<ExperimentStateModel>, { payload }: GetExperimentHistory): Observable<any> {\n    const state = ctx.getState();\n    if (!payload) {\n      return;\n    }\n    const multiplier = payload.n || state.jobsMultiplier;\n    const sortBy = payload.sortby || 'jid';\n    const label = state.jobsMultipleResults.selectedLabel;\n    return this.service.getExperimentHistoryBest(payload.eid, multiplier, sortBy, label).pipe(\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      }),\n      map((res: any) => {\n        if (res && res['experiment_history_best'] && res['experiment_history_best'].length) {\n          const jobsOptimizationGraphData = {\n            x: [],\n            y: [],\n            hovertext: [],\n            hoverinfo: 'text',\n            type: 'scatter',\n            mode: 'lines+markers',\n            name: 'Best Results',\n            line: {\n              color: '#f44336',\n            },\n          };\n          const flu = new FirstLetterUppercasePipe();\n          const truncate = new TruncatePipe();\n          let hoverText;\n          const optimizationX = [];\n          const selectedLabel = state.jobsMultipleResults.selectedLabel || 'score';\n\n          let jobNumber = state.firstValidJobNumber;\n          res['experiment_history_best'].map((history) => {\n            hoverText = `${flu.transform(selectedLabel)}: ${history['score']}<br>`;\n            hoverText += `Job ID: ${history['jid']}<br>`;\n            // jobsOptimizationGraphData.x.push(multiplier * (index + 1));\n            if (history['score'] !== null && history['score'] !== undefined) {\n              optimizationX.push(jobNumber);\n              jobsOptimizationGraphData.y.push(history['score']);\n              jobNumber++;\n            }\n            const config = JSON.parse(history['job_config']);\n            Object.entries(config).map((object) => {\n              hoverText += `${flu.transform(truncate.transform(object[0], [100, '...']))}: ${object[1]}<br>`;\n            });\n            jobsOptimizationGraphData.hovertext.push(hoverText);\n          });\n          // for (let index = 0; index < state.firstValidJobNumber; index++) {\n          //   optimizationX.pop();\n          // }\n          if (state.jobsGraphData && state.jobsGraphData.x.length) {\n            const lastElementFromOptimization = optimizationX[optimizationX.length - 1];\n            const jobsXData = optimizationX.slice();\n            const foundIndex = jobsXData.findIndex((item) => item === lastElementFromOptimization);\n            if (foundIndex !== -1) {\n              const everythingAfterNumberInOptimization = jobsXData.slice(foundIndex);\n              const positionInJobXData = jobsXData.indexOf(lastElementFromOptimization);\n              jobsXData.splice(positionInJobXData);\n              const newXData = jobsXData.concat(everythingAfterNumberInOptimization);\n              jobsOptimizationGraphData.x = newXData;\n            } else {\n              jobsOptimizationGraphData.x = optimizationX;\n            }\n          } else {\n            jobsOptimizationGraphData.x = optimizationX;\n          }\n          ctx.patchState({\n            jobsOptimizationGraphData,\n            jobsMultiplier: multiplier,\n          });\n          return;\n        }\n      })\n    );\n  }\n\n  // @Action(GetExperimentsHistoryBest)\n  // getExperimentsHistoryBest(ctx: StateContext<ExperimentStateModel>, { payload }: GetExperimentsHistoryBest): Observable<any> {\n  //   const state = ctx.getState();\n  //   const multiplier = payload || state.experimentsMultiplier;\n  //   return this.service.getAllExperimentHistoryBest(multiplier).pipe(\n  //     catchError((err: HttpErrorResponse) => {\n  //       this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n  //       return throwError(err);\n  //     }),\n  //     map((res: any) => {\n  //       if (res && res['experiment_history_best']) {\n  //         const experimentsWithHistory = state.experiments;\n  //         const history = res['experiment_history_best'];\n  //         experimentsWithHistory.map(exp => {\n  //           exp.history = [];\n  //           history[exp.eid].map(expHistory => {\n  //             const experimentHistory: ExperimentHistory = {\n  //               jid: expHistory['jid'],\n  //               jobConfig: JSON.parse(expHistory['job_config']),\n  //               score: expHistory[score'],\n  //             };\n  //             exp.history.push(experimentHistory);\n  //           });\n  //         });\n  //         ctx.patchState({\n  //           experiments: experimentsWithHistory,\n  //           experimentsMultiplier: multiplier\n  //         });\n  //       }\n  //     })\n  //   );\n  // }\n\n  @Action(GetMetricVsHparams)\n  getMetricVsHparams(ctx: StateContext<ExperimentStateModel>, { payload }: GetMetricVsHparams): Observable<any> {\n    if (!payload) {\n      return;\n    }\n    return this.service.getMetricsVsHparams(payload).pipe(\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      }),\n      map((res: any) => {\n        if (res && res['metrics_vs_hparams']) {\n          const metricsVsHparams = this.utilsService.keysToCamel(res['metrics_vs_hparams']);\n          if (metricsVsHparams && metricsVsHparams.length > 0) {\n            metricsVsHparams.sort((a, b) => (a.score > b.score ? 1 : -1));\n            const dimensions = [];\n            Object.keys(metricsVsHparams[0])\n              .reverse()\n              .map((key) =>\n                dimensions.push({\n                  label: key,\n                  values: [],\n                })\n              );\n            // if (state.selectedExperiment && state.selectedExperiment.experiment.expConfig.target) {\n            //   // need to order it based on exp_config - target\n            //   console.log(state.selectedExperiment.experiment.expConfig);\n            // }\n            const colors = metricsVsHparams.map((object) => (isNaN(object.score) ? 0 : object.score));\n            metricsVsHparams.map((object) => {\n              dimensions.map((dimension) => {\n                if (dimension.label === 'score' && isNaN(object[dimension.label])) {\n                  return dimension.values.push(0);\n                }\n                return dimension.values.push(object[dimension.label]);\n              });\n            });\n            const trace: ParallelCoordinates = {\n              type: 'parcoords',\n              line: {\n                showscale: true,\n                reversescale: true,\n                colorscale: 'Jet',\n                cmin: metricsVsHparams[0].score,\n                cmax: metricsVsHparams[metricsVsHparams.length - 1].score,\n                color: colors,\n              },\n              dimensions,\n            };\n            ctx.patchState({\n              metricsVsHparams,\n              parallelCoordinatesTrace: trace,\n            });\n          } else {\n            ctx.patchState({\n              metricsVsHparams,\n              parallelCoordinatesTrace: null,\n            });\n          }\n        }\n      })\n    );\n  }\n\n  @Action(StartExperiment)\n  startExperiment(ctx: StateContext<ExperimentStateModel>, { payload }: StartExperiment): Observable<any> {\n    const state = ctx.getState();\n    if (!payload) {\n      return;\n    }\n    return this.service.startExperiment(payload).pipe(\n      tap((res: Experiment) => {\n        if (res) {\n          const experiments = state.experiments.slice();\n          let experimentRes = this.utilsService.keysToCamel(res) as Experiment;\n          experimentRes = {\n            ...experimentRes,\n            expConfigDetails: JSON.parse(experimentRes.expConfig),\n          };\n          const foundIndex = experiments.findIndex((item) => item.eid === experimentRes.eid);\n          if (foundIndex !== -1) {\n            experiments[foundIndex] = experimentRes;\n          }\n          ctx.patchState({\n            experiments,\n          });\n          const message = 'Experiment started!';\n          const notification: AppNotification = {\n            type: NOTIFICATION_TYPE.SUCCESS,\n            receivedAt: new Date().getTime(),\n            message,\n          };\n          this.store.dispatch(new AddNotification(notification));\n          this.snackbarService.success(message);\n        }\n        return;\n      }),\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      })\n    );\n  }\n\n  @Action(StopExperiment)\n  stopExperiment(ctx: StateContext<ExperimentStateModel>, { payload }: StopExperiment): Observable<any> {\n    const state = ctx.getState();\n    if (!payload) {\n      return;\n    }\n    return this.service.stopExperiment(payload).pipe(\n      tap((res: Experiment) => {\n        if (res) {\n          const experiments = state.experiments.slice();\n          let experimentRes = this.utilsService.keysToCamel(res) as Experiment;\n          experimentRes = {\n            ...experimentRes,\n            expConfigDetails: JSON.parse(experimentRes.expConfig),\n          };\n          const foundIndex = experiments.findIndex((item) => item.eid === experimentRes.eid);\n          if (foundIndex !== -1) {\n            experiments[foundIndex] = experimentRes;\n          }\n          ctx.patchState({\n            experiments,\n          });\n          const message = 'Experiment stopped!';\n          const notification: AppNotification = {\n            type: NOTIFICATION_TYPE.SUCCESS,\n            receivedAt: new Date().getTime(),\n            message,\n          };\n          this.store.dispatch(new AddNotification(notification));\n          this.snackbarService.success(message);\n          return;\n        }\n      }),\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      })\n    );\n  }\n\n  @Action(SetupDatabase)\n  setupDatabase(ctx: StateContext<ExperimentStateModel>, { payload }: SetupDatabase): Observable<any> {\n    if (!payload) {\n      return;\n    }\n    return this.service.setupDB(payload).pipe(\n      tap((res) => {\n        if (res) {\n          this.snackbarService.success('Setup completed');\n          this.store.dispatch(new GetDatabaseLink()).subscribe(() => {\n            this.store.dispatch(new Navigate(['/list']));\n          });\n        }\n        return;\n      }),\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      })\n    );\n  }\n\n  @Action(GetInterimResults)\n  getInterimResults(ctx: StateContext<ExperimentStateModel>): Observable<any> {\n    const state = ctx.getState();\n    ctx.patchState({\n      loadingIntermResults: true,\n    });\n    return this.service.getInterimResults().pipe(\n      tap((intermResults: IntermediateExperiment[]) => {\n        if (intermResults && intermResults.length) {\n          ctx.patchState({\n            intermResults,\n            loadingIntermResults: false,\n          });\n        } else {\n          const navItems = state.navItems.slice();\n          const foundIndex = navItems.findIndex((el: NavItem) => el.route === 'interm');\n          if (foundIndex !== -1) {\n            navItems[foundIndex].disabled = true;\n          }\n          ctx.patchState({\n            navItems,\n            loadingIntermResults: false,\n          });\n        }\n      }),\n      catchError((err: HttpErrorResponse) => {\n        ctx.patchState({\n          loadingIntermResults: false,\n        });\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      })\n    );\n  }\n\n  @Action(GetExperimentInterimResults)\n  getExperimentInterimResults(\n    ctx: StateContext<ExperimentStateModel>,\n    { payload }: GetExperimentInterimResults\n  ): Observable<any> {\n    if (!payload) {\n      return;\n    }\n    const state = ctx.getState();\n    const selectedLabel = payload.label || state.interimExperiment.selectedLabel;\n    if (state.intermResults && state.intermResults.length) {\n      return this.service.getExperimentInterimResults(payload.eid, selectedLabel).pipe(\n        tap((exp: IntermediateExperiment) => {\n          if (exp) {\n            const interimExperiment = exp;\n            if (interimExperiment.multResLabels && interimExperiment.multResLabels.length) {\n              interimExperiment.multResLabels.push('score');\n            }\n            ctx.patchState({\n              interimExperiment: {\n                ...interimExperiment,\n                selectedLabel:\n                  selectedLabel ||\n                  (interimExperiment.multResLabels && interimExperiment.multResLabels.length\n                    ? interimExperiment.multResLabels[interimExperiment.multResLabels.length - 1]\n                    : null),\n              },\n            });\n          }\n        }),\n        catchError((err: HttpErrorResponse) => {\n          const notification: AppNotification = {\n            type: NOTIFICATION_TYPE.ERROR,\n            receivedAt: new Date().getTime(),\n            message: this.utilsService.formatErrorMessage(err),\n          };\n          this.store.dispatch(new AddNotification(notification));\n          this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n          return throwError(err);\n        })\n      );\n    }\n  }\n\n  @Action(SetInterimExperiment)\n  setInterimExperiment(ctx: StateContext<ExperimentStateModel>, { payload }: SetInterimExperiment): void {\n    if (!payload) {\n      return;\n    }\n    ctx.patchState({\n      interimExperiment: payload,\n    });\n  }\n\n  @Action(CreateExperiment)\n  createExperiment(ctx: StateContext<ExperimentStateModel>, { payload }: CreateExperiment): Observable<any> {\n    if (!payload) {\n      return;\n    }\n    return this.service.createExperiment(payload).pipe(\n      tap((res) => {\n        if (res) {\n          const message = 'Experiment created!';\n          const notification: AppNotification = {\n            type: NOTIFICATION_TYPE.SUCCESS,\n            receivedAt: new Date().getTime(),\n            message,\n          };\n          this.store.dispatch(new AddNotification(notification));\n          this.snackbarService.success(message);\n          this.store.dispatch(new Navigate(['/list']));\n          return;\n        }\n      }),\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      })\n    );\n  }\n\n  @Action(DeleteExperiment)\n  deleteExperiment(ctx: StateContext<ExperimentStateModel>, { payload }: DeleteExperiment): Observable<any> {\n    const state = ctx.getState();\n    if (!payload) {\n      return;\n    }\n    return this.service.deleteExperiment(payload).pipe(\n      tap(() => {\n        const experiments = state.experiments.slice();\n        const foundIndex = experiments.findIndex((item) => item.eid === payload);\n        if (foundIndex !== -1) {\n          experiments.splice(foundIndex, 1);\n          const message = 'Experiment deleted!';\n          const notification: AppNotification = {\n            type: NOTIFICATION_TYPE.SUCCESS,\n            receivedAt: new Date().getTime(),\n            message,\n          };\n          this.store.dispatch(new AddNotification(notification));\n          this.snackbarService.success(message);\n          ctx.patchState({\n            experiments,\n          });\n        }\n      }),\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      })\n    );\n  }\n\n  @Action(RefreshAll)\n  refreshAll(ctx: StateContext<ExperimentStateModel>): Observable<any> {\n    return this.service.refreshAll().pipe(\n      catchError((err: HttpErrorResponse) => {\n        const notification: AppNotification = {\n          type: NOTIFICATION_TYPE.ERROR,\n          receivedAt: new Date().getTime(),\n          message: this.utilsService.formatErrorMessage(err),\n        };\n        this.store.dispatch(new AddNotification(notification));\n        this.snackbarService.error(this.utilsService.formatErrorMessage(err));\n        return throwError(err);\n      })\n    );\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/main-routing.module.ts",
    "content": "import { NgModule } from '@angular/core';\nimport { Routes, RouterModule } from '@angular/router';\nimport * as fromContainers from './containers';\n\nconst routes: Routes = [\n  {\n    path: '',\n    component: fromContainers.MainComponent,\n    children: [\n      { path: '', loadChildren: () => import('./experiment/experiment.module').then((m) => m.ExperimentModule) },\n    ],\n  },\n];\n\n@NgModule({\n  imports: [RouterModule.forChild(routes)],\n  exports: [RouterModule],\n})\nexport class MainRoutingModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/main/main.module.ts",
    "content": "import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\n\nimport { MainRoutingModule } from './main-routing.module';\nimport * as fromContainers from './containers';\nimport { SharedModule } from '../shared/shared.module';\n\n@NgModule({\n  declarations: [...fromContainers.containers],\n  imports: [CommonModule, MainRoutingModule, SharedModule],\n})\nexport class MainModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/material/material.module.ts",
    "content": "import { NgModule } from '@angular/core';\n\nimport { MatAutocompleteModule } from '@angular/material/autocomplete';\nimport { MatButtonModule } from '@angular/material/button';\nimport { MatCardModule } from '@angular/material/card';\nimport { MatCheckboxModule } from '@angular/material/checkbox';\nimport { MatNativeDateModule } from '@angular/material/core';\nimport { MatDatepickerModule } from '@angular/material/datepicker';\nimport { MatDialogModule } from '@angular/material/dialog';\nimport { MatFormFieldModule } from '@angular/material/form-field';\nimport { MatGridListModule } from '@angular/material/grid-list';\nimport { MatIconModule } from '@angular/material/icon';\nimport { MatInputModule } from '@angular/material/input';\nimport { MatListModule } from '@angular/material/list';\nimport { MatMenuModule } from '@angular/material/menu';\nimport { MatPaginatorModule } from '@angular/material/paginator';\nimport { MatProgressBarModule } from '@angular/material/progress-bar';\nimport { MatProgressSpinnerModule } from '@angular/material/progress-spinner';\nimport { MatSelectModule } from '@angular/material/select';\nimport { MatSidenavModule } from '@angular/material/sidenav';\nimport { MatSlideToggleModule } from '@angular/material/slide-toggle';\nimport { MatSnackBarModule } from '@angular/material/snack-bar';\nimport { MatSortModule } from '@angular/material/sort';\nimport { MatStepperModule } from '@angular/material/stepper';\nimport { MatTableModule } from '@angular/material/table';\nimport { MatTabsModule } from '@angular/material/tabs';\nimport { MatToolbarModule } from '@angular/material/toolbar';\nimport { MatTooltipModule } from '@angular/material/tooltip';\nimport { MatRadioModule } from '@angular/material/radio';\nimport { MatExpansionModule } from '@angular/material/expansion';\nimport { MatBadgeModule } from '@angular/material/badge';\nimport { MatButtonToggleModule } from '@angular/material/button-toggle';\n\nexport const modules = [\n  MatButtonModule,\n  MatCheckboxModule,\n  MatFormFieldModule,\n  MatInputModule,\n  MatMenuModule,\n  MatIconModule,\n  MatDatepickerModule,\n  MatNativeDateModule,\n  MatSidenavModule,\n  MatToolbarModule,\n  MatListModule,\n  MatTabsModule,\n  MatCardModule,\n  MatSelectModule,\n  MatProgressSpinnerModule,\n  MatDialogModule,\n  MatTableModule,\n  MatSortModule,\n  MatPaginatorModule,\n  MatSnackBarModule,\n  MatSlideToggleModule,\n  MatProgressBarModule,\n  MatGridListModule,\n  MatTooltipModule,\n  MatStepperModule,\n  MatAutocompleteModule,\n  MatRadioModule,\n  MatExpansionModule,\n  MatBadgeModule,\n  MatButtonToggleModule,\n];\n\n@NgModule({\n  imports: modules,\n  exports: modules,\n})\nexport class MaterialModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/data/custom-icons.data.ts",
    "content": "export interface Icon {\n  name: string;\n  path: string;\n}\n\nexport const CUSTOM_ICONS: Icon[] = [\n  {\n    name: 'information',\n    path: 'assets/icons/information.svg',\n  },\n  {\n    name: 'database',\n    path: 'assets/icons/database.svg',\n  },\n  {\n    name: 'copy',\n    path: 'assets/icons/copy.svg',\n  },\n  {\n    name: 'bulb',\n    path: 'assets/icons/emoji_objects-24px.svg',\n  },\n];\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/data/graph-colors.data.ts",
    "content": "export const GRAPH_COLORS = [\n  '#3DDF7E',\n  '#4B6FFF',\n  '#ff9800',\n  '#4caf50',\n  '#00bcd4',\n  '#673ab7',\n  '#ff5722',\n  '#607d8b',\n  '#ffeb3b',\n  '#ba68c8',\n  '#7cb342',\n  '#e64a19',\n  '#03a9f4',\n  '#3f51b5',\n  '#cddc39',\n  '#ad1457',\n  '#2e7d32',\n  '#1e88e5',\n  '#e53935',\n  '#9c27b0',\n  '#009688',\n  '#795548',\n  '#f57c00',\n  '#311b92',\n  '#ec407a',\n  '#aa00ff',\n  '#00695c',\n  '#304ffe',\n  '#f44336',\n];\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/data/nav-items.ts",
    "content": "import { NavItem } from '../nav-items.model';\n\nexport const NAV_ITEMS: NavItem[] = [\n  {\n    displayName: 'Overview',\n    route: 'overview',\n    iconName: 'table_chart',\n    tooltip: 'Overview',\n  },\n  {\n    displayName: 'Job Status',\n    route: 'job-status',\n    iconName: 'science',\n    tooltip: 'Job Status',\n  },\n  {\n    displayName: 'Hyperparameter Interaction Graph',\n    route: 'hig',\n    iconName: 'bar_chart',\n    tooltip: 'Hyperparameter Interaction Graph',\n  },\n  {\n    displayName: 'Intermediate Results',\n    route: 'interm',\n    iconName: 'graphic_eq',\n    tooltip: 'Intermediate Results',\n  },\n  {\n    displayName: 'Multi-Experiment Comparison',\n    route: 'multi',\n    iconName: 'stacked_line_chart',\n    tooltip: 'Multi-Experiment Comparison',\n  },\n];\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/data/plotly-hidden-displays.ts",
    "content": "export const PLOTLY_HIDDEN_DISPLAYS = [\n  'zoom2d',\n  'pan2d',\n  'select2d',\n  'lasso2d',\n  'zoomIn2d',\n  'zoomOut2d',\n  'autoScale2d',\n  'resetScale2d',\n  'zoom3d',\n  'pan3d',\n  'orbitRotation',\n  'tableRotation',\n  'handleDrag3d',\n  'resetCameraDefault3d',\n  'resetCameraLastSave3d',\n  'hoverClosest3d',\n  'hoverClosestCartesian',\n  'hoverCompareCartesian',\n  'zoomInGeo',\n  'zoomOutGeo',\n  'resetGeo',\n  'hoverClosestGeo',\n  'hoverClosestGl2d',\n  'hoverClosestPie',\n  'toggleHover',\n  'resetViews',\n  'sendDataToCloud',\n  'toggleSpikelines',\n  'resetViewMapbox',\n];\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/enum/experiment-status.enum.ts",
    "content": "/* eslint-disable no-shadow */\n/* eslint-disable @typescript-eslint/naming-convention */\nexport enum EXPERIMENT_STATUS {\n  CREATED = 'CREATED',\n  RUNNING = 'RUNNING',\n  STOPPED = 'STOPPED',\n  FINISHED = 'FINISHED',\n  FAILED = 'FAILED',\n  STOPPING = 'STOPPING',\n  REQUEST_STOP = 'REQUEST_STOP',\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/enum/experiment-view-type.enum.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable no-shadow */\nexport enum EXPERIMENT_VIEW_TYPE {\n  LIST = 'list',\n  CARD = 'card',\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/enum/notification-type.enum.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable no-shadow */\nexport enum NOTIFICATION_TYPE {\n  SUCCESS = 'Success',\n  ERROR = 'Error',\n  WARNING = 'Warning',\n  INFO = 'Info',\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/enum/theme-option.enum.ts",
    "content": "/* eslint-disable @typescript-eslint/naming-convention */\n/* eslint-disable no-shadow */\nexport enum THEME_OPTION {\n  DARK = 'dark',\n  LIGHT = 'light',\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/experiment.model.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\nexport interface Experiment {\n  bestScore: number;\n  scores: number[];\n  eid: number;\n  endTime: number;\n  expConfig: any;\n  scriptName: string;\n  status: string;\n  experimentName: string;\n  startTime: number;\n  uid: number;\n  jobsFinished: number;\n  jobsUnfinished: number;\n  jobs?: any;\n  history?: ExperimentHistory[];\n  expConfigDetails: any;\n  errorMsg: string;\n  labels: string[];\n}\n\nexport interface ExperimentHistory {\n  jid: number;\n  jobConfig: any;\n  score: any;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/nav-items.model.ts",
    "content": "export interface NavItem {\n  displayName: string;\n  disabled?: boolean;\n  iconName: string;\n  route?: string;\n  children?: NavItem[];\n  tooltip?: string;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/progress-bar.model.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\nexport interface ProgressBarInfo {\n  text: string;\n  value: any;\n  maxValue: any;\n  displayedValue?: any;\n  displayedMaxValue?: any;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/models/resource.model.ts",
    "content": "export interface Resource {\n  name: string;\n  rid: number;\n  status: string;\n  type: string;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/page-not-found/page-not-found.component.html",
    "content": "<mat-sidenav-container class=\"h-full\">\n  <div class=\"w-full h-full p-4\" fxLayout=\"column\" fxLayoutAlign=\"center center\">\n    <h1 class=\"mat-display-4 mb-3 color-warn\">404</h1>\n    <p class=\"mat-headline text-center text-primary\">\n      We can`t seem to find the page you`re looking for\n    </p>\n    <p class=\"mat-headline text-center text-primary\">\n      Click <a routerLink=\"/\" class=\"actionable color-accent\">here</a> to go back home\n    </p>\n  </div>\n</mat-sidenav-container>"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/page-not-found/page-not-found.component.scss",
    "content": ""
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/page-not-found/page-not-found.component.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { NO_ERRORS_SCHEMA } from '@angular/core';\nimport { ComponentFixture, TestBed } from '@angular/core/testing';\n\nimport { PageNotFoundComponent } from './page-not-found.component';\n\ndescribe('PageNotFoundComponent', () => {\n  let component: PageNotFoundComponent;\n  let fixture: ComponentFixture<PageNotFoundComponent>;\n\n  beforeEach(async () => {\n    await TestBed.configureTestingModule({\n      schemas: [NO_ERRORS_SCHEMA],\n      declarations: [PageNotFoundComponent],\n    }).compileComponents();\n  });\n\n  beforeEach(() => {\n    fixture = TestBed.createComponent(PageNotFoundComponent);\n    component = fixture.componentInstance;\n    fixture.detectChanges();\n  });\n\n  it('should create', () => {\n    expect(component).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/page-not-found/page-not-found.component.ts",
    "content": "import { Component } from '@angular/core';\n\n@Component({\n  selector: 'app-page-not-found',\n  templateUrl: './page-not-found.component.html',\n  styleUrls: ['./page-not-found.component.scss'],\n})\nexport class PageNotFoundComponent {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/dialogs/confirm/confirm-dialog.component.html",
    "content": "<div class=\"w-full p-3 bg-primary text-white header-dialog-title\" fxLayout=\"row\" fxLayoutAlign=\"space-between center\">\n  <h2 class=\"mat-title m-0\">{{ dialog?.title ? dialog.title : '' }}</h2>\n  <button mat-icon-button matDialogClose>\n    <mat-icon>close</mat-icon>\n  </button>\n</div>\n<mat-dialog-content class=\"w-full px-5 pt-5\">\n  <p class=\"font-size-14 mb-4\">{{ dialog?.content ? dialog.content : '' }}</p>\n  <p class=\"font-size-14 mt-4\" *ngIf=\"dialog?.secondLine\">{{ dialog?.secondLine }}</p>\n</mat-dialog-content>\n<mat-dialog-actions fxLayout=\"row\" fxLayoutAlign=\"end center\" fxLayoutGap=\"15px\" class=\"mb-1 px-5 pb-5\">\n  <button mat-raised-button type=\"button\" mat-dialog-close *ngIf=\"!hideCancelButton\">\n    {{ cancelButtonText }}\n  </button>\n  <button mat-raised-button color=\"primary\" type=\"button\" [mat-dialog-close]=\"true\">\n    {{ confirmButtonText }}\n  </button>\n</mat-dialog-actions>\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/dialogs/confirm/confirm-dialog.component.scss",
    "content": "mat-dialog-content {\n  margin: 0 !important;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/dialogs/confirm/confirm-dialog.component.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\nimport { Component, Inject, OnInit } from '@angular/core';\nimport { MAT_DIALOG_DATA } from '@angular/material/dialog';\n\n@Component({\n  templateUrl: 'confirm-dialog.component.html',\n  styleUrls: ['confirm-dialog.component.scss'],\n})\nexport class ConfirmDialogComponent implements OnInit {\n  dialog: any;\n  hideCancelButton: boolean;\n  confirmButtonText: string;\n  cancelButtonText: string;\n\n  constructor(@Inject(MAT_DIALOG_DATA) private data) {\n    this.hideCancelButton = this.data.hideCancelButton && true;\n\n    if (data.confirmButtonText) {\n      this.confirmButtonText = data.confirmButtonText;\n    } else {\n      this.confirmButtonText = this.hideCancelButton ? 'Close' : 'Confirm';\n    }\n\n    this.cancelButtonText = data.cancelButtonText || 'Cancel';\n  }\n\n  ngOnInit(): void {\n    this.dialog = this.data;\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/dialogs/index.ts",
    "content": "import { ConfirmDialogComponent } from './confirm/confirm-dialog.component';\nexport const dialogs = [ConfirmDialogComponent];\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/experiment-status.pipe.ts",
    "content": "import { Pipe, PipeTransform } from '@angular/core';\nimport { Experiment } from '../../models/experiment.model';\n\n@Pipe({ name: 'experimentStatus' })\nexport class ExperimentStatusPipe implements PipeTransform {\n  transform(experiment: Experiment): string {\n    if (experiment.startTime === -1 && experiment.endTime === -1) {\n      return 'Stopping...';\n    }\n    if (experiment.startTime && experiment.endTime && experiment.startTime !== -1 && experiment.endTime !== -1) {\n      return 'Finished';\n    } else if (experiment.startTime && experiment.startTime !== -1 && !experiment.endTime) {\n      return 'Running';\n    } else if (!experiment.startTime && !experiment.endTime) {\n      return 'Not started';\n    }\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/first-letter-uppercase/first-letter-uppercase.pipe.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { FirstLetterUppercasePipe } from './first-letter-uppercase.pipe';\n\ndescribe('FirstLetterUppercasePipe', () => {\n  it('create an instance', () => {\n    const pipe = new FirstLetterUppercasePipe();\n    expect(pipe).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/first-letter-uppercase/first-letter-uppercase.pipe.ts",
    "content": "import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n  name: 'flu',\n})\nexport class FirstLetterUppercasePipe implements PipeTransform {\n  transform(text: string): string {\n    if (text.length === 0) {\n      return '';\n    }\n    return text.charAt(0).toUpperCase() + text.slice(1);\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/index.ts",
    "content": "import { MinToHourPipe } from './min-to-hour/min-to-hour.pipe';\nimport { SecToMinPipe } from './sec-to-min/sec-to-min.pipe';\nimport { RoundNumberPipe } from './roudNumber.pipe';\nimport { ProgressBarWidthPipe } from './progressBarWidth.pipe';\nimport { FirstLetterUppercasePipe } from './first-letter-uppercase/first-letter-uppercase.pipe';\nimport { ExperimentStatusPipe } from './experiment-status.pipe';\nimport { NotificationIconPipe } from './notification-icon.pipe';\nimport { TruncatePipe } from './truncate.pipe';\n\nexport const pipes = [\n  MinToHourPipe,\n  SecToMinPipe,\n  RoundNumberPipe,\n  ProgressBarWidthPipe,\n  FirstLetterUppercasePipe,\n  ExperimentStatusPipe,\n  NotificationIconPipe,\n  TruncatePipe,\n];\n\nexport * from './min-to-hour/min-to-hour.pipe';\nexport * from './sec-to-min/sec-to-min.pipe';\nexport * from './roudNumber.pipe';\nexport * from './progressBarWidth.pipe';\nexport * from './experiment-status.pipe';\nexport * from './first-letter-uppercase/first-letter-uppercase.pipe';\nexport * from './notification-icon.pipe';\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/min-to-hour/min-to-hour.pipe.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { MinToHourPipe } from './min-to-hour.pipe';\n\ndescribe('MinToHourPipe', () => {\n  it('create an instance', () => {\n    const pipe = new MinToHourPipe();\n    expect(pipe).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/min-to-hour/min-to-hour.pipe.ts",
    "content": "import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n  name: 'minToHour',\n})\nexport class MinToHourPipe implements PipeTransform {\n  transform(value: number): string {\n    if (value > 0 && value > 60) {\n      const hours = Math.floor(value / 60);\n      if (value % 2 !== 0) {\n        const minutes = value - hours * 60;\n        return `${hours}h ${minutes}min`;\n      } else {\n        return `${hours}h`;\n      }\n    } else {\n      return `${value}min`;\n    }\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/notification-icon.pipe.ts",
    "content": "import { Pipe, PipeTransform } from '@angular/core';\nimport { NOTIFICATION_TYPE } from '../../models/enum/notification-type.enum';\n\n@Pipe({ name: 'notifyIcon' })\nexport class NotificationIconPipe implements PipeTransform {\n  transform(value: string): string {\n    if (!value) {\n      return;\n    }\n    switch (value) {\n      case NOTIFICATION_TYPE.ERROR:\n        return 'error';\n      case NOTIFICATION_TYPE.INFO:\n        return 'notification_important';\n      case NOTIFICATION_TYPE.SUCCESS:\n        return 'check_circle';\n      case NOTIFICATION_TYPE.WARNING:\n        return 'warning';\n    }\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/progressBarWidth.pipe.ts",
    "content": "import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({ name: 'progressWidth' })\nexport class ProgressBarWidthPipe implements PipeTransform {\n  transform(info: { value: number; maxValue: number }): number {\n    if (info === null) {\n      return;\n    }\n    return Math.floor((info.value * 100) / info.maxValue);\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/roudNumber.pipe.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\nimport { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({ name: 'roundNumber' })\nexport class RoundNumberPipe implements PipeTransform {\n  transform(value: any): number | string {\n    if (value === null || value === undefined) {\n      return 'no valid score so far...';\n    }\n    if (Number.isInteger(+value)) {\n      return +value;\n    }\n    return Math.round((+value + Number.EPSILON) * 10000) / 10000;\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/sec-to-min/sec-to-min.pipe.spec.ts",
    "content": "/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { SecToMinPipe } from './sec-to-min.pipe';\n\ndescribe('SecToMinPipe', () => {\n  it('create an instance', () => {\n    const pipe = new SecToMinPipe();\n    expect(pipe).toBeTruthy();\n  });\n});\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/sec-to-min/sec-to-min.pipe.ts",
    "content": "import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n  name: 'secToMin',\n})\nexport class SecToMinPipe implements PipeTransform {\n  transform(value: number): string {\n    if (value > 0 && value > 60) {\n      const hours = Math.floor(value / 60);\n      if (value % 2 !== 0) {\n        const minutes = value - hours * 60;\n        return `${hours}min ${minutes}s`;\n      } else {\n        return `${hours}min`;\n      }\n    } else {\n      return `${value}s`;\n    }\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/pipes/truncate.pipe.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/restrict-plus-operands */\nimport { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n  name: 'truncate',\n})\nexport class TruncatePipe implements PipeTransform {\n  transform(value: string, args: any[]): string {\n    const limit = args.length > 0 ? parseInt(args[0], 10) : 20;\n    const trail = args.length > 1 ? args[1] : '...';\n    return value.length > limit ? value.substring(0, limit) + trail : value;\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/services/api.service.ts",
    "content": "/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\n/* eslint-disable @typescript-eslint/no-explicit-any */\nimport { Injectable } from '@angular/core';\nimport { HttpClient, HttpParams } from '@angular/common/http';\nimport { Observable } from 'rxjs';\nimport { DomSanitizer } from '@angular/platform-browser';\n\nimport { environment } from '../../../environments/environment';\n\nconst apiUrl = environment.apiUrl;\n\n@Injectable({\n  providedIn: 'root',\n})\nexport class ApiService {\n  constructor(private http: HttpClient, private sanitizer: DomSanitizer) {}\n\n  public get<T>(endpoint: string, params?: HttpParams | { [key: string]: any }): Observable<T> {\n    console.warn('Network: GET', `${apiUrl}/${endpoint}`, params ? params : {});\n    return this.http.get<T>(`${apiUrl}/${endpoint}`, { params });\n  }\n  public post<T>(endpoint: string, object?, params?: HttpParams | { [key: string]: any }): Observable<T> {\n    return this.http.post<T>(`${apiUrl}/${endpoint}`, object, { params });\n  }\n  public put<T>(endpoint: string, object): Observable<T> {\n    return this.http.put<T>(`${apiUrl}/${endpoint}`, object);\n  }\n  public delete<T>(endpoint: string): Observable<T> {\n    return this.http.delete<T>(`${apiUrl}/${endpoint}`);\n  }\n  public patch<T>(endpoint: string, object): Observable<T> {\n    return this.http.patch<T>(`${apiUrl}/${endpoint}`, object);\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/services/color-scheme.service.ts",
    "content": "/* eslint-disable @typescript-eslint/restrict-plus-operands */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\nimport { Injectable, Renderer2, RendererFactory2 } from '@angular/core';\n\n@Injectable({\n  providedIn: 'root',\n})\nexport class ColorSchemeService {\n  private renderer: Renderer2;\n  private colorScheme: string;\n  // Define prefix for clearer and more readable class names in scss files\n  private colorSchemePrefix = 'color-scheme-';\n\n  constructor(rendererFactory: RendererFactory2) {\n    // Create new renderer from renderFactory, to make it possible to use renderer2 in a service\n    this.renderer = rendererFactory.createRenderer(null, null);\n  }\n\n  _detectPrefersColorScheme(): void {\n    // Detect if prefers-color-scheme is supported\n    if (window.matchMedia('(prefers-color-scheme)').media !== 'not all') {\n      // Set colorScheme to Dark if prefers-color-scheme is dark. Otherwise set to light.\n      this.colorScheme = window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light';\n    } else {\n      // If the browser doesn't support prefers-color-scheme, set it as default to dark\n      this.colorScheme = 'dark';\n    }\n  }\n\n  _setColorScheme(scheme): void {\n    this.colorScheme = scheme;\n    // Save prefers-color-scheme to localStorage\n    localStorage.setItem('prefers-color', scheme);\n  }\n\n  _getColorScheme(): void {\n    // Check if any prefers-color-scheme is stored in localStorage\n    if (localStorage.getItem('prefers-color')) {\n      // Save prefers-color-scheme from localStorage\n      this.colorScheme = localStorage.getItem('prefers-color');\n    } else {\n      // If no prefers-color-scheme is stored in localStorage, try to detect OS default prefers-color-scheme\n      this._detectPrefersColorScheme();\n    }\n  }\n\n  load(): void {\n    this._getColorScheme();\n    this.renderer.addClass(document.body, this.colorSchemePrefix + this.colorScheme);\n  }\n\n  update(scheme): void {\n    this._setColorScheme(scheme);\n    // Remove the old color-scheme class\n    this.renderer.removeClass(document.body, this.colorSchemePrefix + (this.colorScheme === 'dark' ? 'light' : 'dark'));\n    // Add the new / current color-scheme class\n    this.renderer.addClass(document.body, this.colorSchemePrefix + scheme);\n  }\n\n  currentActive(): string {\n    return this.colorScheme;\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/services/helper.service.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\n/* eslint-disable @typescript-eslint/no-floating-promises */\nimport { Injectable } from '@angular/core';\nimport { Router } from '@angular/router';\n\n@Injectable({\n  providedIn: 'root',\n})\nexport class HelperService {\n  constructor(private router: Router) {}\n\n  redirectTo(link: string, param?: any): void {\n    if (link) {\n      if (param) {\n        this.router.navigate([link, param]);\n      } else {\n        this.router.navigate([link]);\n      }\n    }\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/services/index.ts",
    "content": "import { UtilsService } from './utils.service';\nimport { HelperService } from './helper.service';\nimport { SnackbarService } from './snackbar.service';\nimport { ApiService } from './api.service';\n\nexport const services = [UtilsService, HelperService, SnackbarService, ApiService];\n\nexport * from './utils.service';\nexport * from './helper.service';\nexport * from './snackbar.service';\nexport * from './api.service';\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/services/snackbar.service.ts",
    "content": "/* eslint-disable @typescript-eslint/no-explicit-any */\nimport { Injectable, NgZone } from '@angular/core';\nimport { MatSnackBar, MatSnackBarConfig } from '@angular/material/snack-bar';\n\n@Injectable({\n  providedIn: 'root',\n})\nexport class SnackbarService {\n  private config: MatSnackBarConfig;\n\n  constructor(readonly snackBar: MatSnackBar, readonly zone: NgZone) {\n    this.initConfig();\n  }\n\n  private initConfig(): void {\n    this.config = new MatSnackBarConfig();\n    this.config.verticalPosition = 'top';\n    this.config.horizontalPosition = 'center';\n    this.config.duration = 4000;\n  }\n\n  private getConfig(className?): any {\n    this.config.panelClass = className ? [className] : undefined;\n    return this.config;\n  }\n\n  openSnackBar(message: string, action: string, className?: string): void {\n    // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment\n    const config = this.getConfig(className);\n    this.zone.run(() => {\n      this.snackBar.open(message, action, config);\n    });\n  }\n\n  error(message: string, action?: string): void {\n    this.openSnackBar(message, action, 'text-error');\n  }\n\n  success(message: string, action?: string): void {\n    this.openSnackBar(message, action, 'text-success');\n  }\n\n  warning(message: string, action?: string): void {\n    this.openSnackBar(message, action, 'text-warn');\n  }\n\n  info(message: string, action?: string): void {\n    this.openSnackBar(message, action, 'text-info');\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/services/utils.service.ts",
    "content": "/* eslint-disable prefer-rest-params */\n/* eslint-disable @typescript-eslint/no-unsafe-call */\n/* eslint-disable @typescript-eslint/no-unsafe-return */\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/* eslint-disable @typescript-eslint/no-unsafe-member-access */\n/* eslint-disable @typescript-eslint/no-unsafe-assignment */\n/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\nimport { HttpErrorResponse } from '@angular/common/http';\nimport { Injectable } from '@angular/core';\nimport * as moment from 'moment';\n\n@Injectable({\n  providedIn: 'root',\n})\nexport class UtilsService {\n  dataToString(data): string {\n    const momentData = moment(data);\n    return momentData && momentData.isValid() ? momentData.format('YYYY-MM-DD') : '';\n  }\n\n  dataToStringWithFormat(data: any, format: string): string {\n    const momentData = moment(data);\n    return momentData && momentData.isValid() ? momentData.format(format) : '';\n  }\n\n  compare(a: number | string, b: number | string, isAsc: boolean): number {\n    return (a < b ? -1 : 1) * (isAsc ? 1 : -1);\n  }\n\n  toCamel(s: string): string {\n    return s.replace(/([-_][a-z])/gi, ($1) => {\n      return $1.toUpperCase().replace('-', '').replace('_', '');\n    });\n  }\n\n  keysToCamel(o: any): any {\n    if (o === Object(o) && !Array.isArray(o) && typeof o !== 'function') {\n      const n = {};\n      Object.keys(o).forEach((k) => {\n        n[this.toCamel(k)] = this.keysToCamel(o[k]);\n      });\n      return n;\n    } else if (Array.isArray(o)) {\n      return o.map((i) => {\n        return this.keysToCamel(i);\n      });\n    }\n    return o;\n  }\n\n  formatErrorMessage(err: HttpErrorResponse): string {\n    if (!err) {\n      return;\n    }\n    return err.error ? err.error.message.toString() : err.message ? err.message.toString() : err.toString();\n  }\n\n  trimString(text: string): string {\n    if (!text) {\n      return text;\n    }\n    const query = text.toString().toLocaleLowerCase().trim();\n    return query;\n  }\n\n  filterArraysBasedOnId(): any {\n    const arr = [...arguments];\n    return arr.shift().filter((y) => arr.every((x) => x.some((j) => j.id === y.id)));\n  }\n\n  isNumber(n): boolean {\n    return typeof n === 'number' && !isNaN(n) && isFinite(n);\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/shared.module.ts",
    "content": "/* eslint-disable @typescript-eslint/no-unsafe-assignment */\nimport { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { MaterialModule } from '../material/material.module';\nimport { FlexLayoutModule } from '@angular/flex-layout';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { HttpClientModule } from '@angular/common/http';\nimport { NgxPaginationModule } from 'ngx-pagination';\n\nimport * as fromPipes from './pipes';\nimport * as fromServices from './services';\n\nimport * as PlotlyJS from 'plotly.js/dist/plotly.js';\nimport { PlotlyModule } from 'angular-plotly.js';\nimport { dialogs } from './dialogs';\n\nPlotlyModule.plotlyjs = PlotlyJS;\n\n@NgModule({\n  imports: [CommonModule, FormsModule, ReactiveFormsModule, MaterialModule, FlexLayoutModule, HttpClientModule],\n  exports: [\n    FormsModule,\n    ReactiveFormsModule,\n    MaterialModule,\n    FlexLayoutModule,\n    HttpClientModule,\n    PlotlyModule,\n    NgxPaginationModule,\n    fromPipes.pipes,\n  ],\n  providers: [fromServices.services],\n  declarations: [...dialogs, ...fromPipes.pipes],\n})\nexport class SharedModule {}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/validators/at-least.validator.ts",
    "content": "/* eslint-disable prefer-arrow/prefer-arrow-functions */\nimport { FormGroup, ValidatorFn } from '@angular/forms';\n\n// eslint-disable-next-line @typescript-eslint/naming-convention\nexport function AtLeastValidator(minimumValues: number): ValidatorFn {\n  return (formGroup: FormGroup): { [key: string]: boolean } | null => {\n    let numberValues = 0;\n    Object.keys(formGroup.controls).forEach((key) => {\n      const control = formGroup.controls[key];\n      if (control.value) {\n        numberValues++;\n      }\n    });\n\n    if (numberValues < minimumValues) {\n      return { minimumValues: true };\n    }\n    return null;\n  };\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/app/shared/validators/index.ts",
    "content": "import { AtLeastValidator } from './at-least.validator';\n\nexport const validators = [AtLeastValidator];\n\nexport * from './at-least.validator';\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/assets/.gitkeep",
    "content": ""
  },
  {
    "path": "src/aup/dashboard/frontend/src/environments/environment.prod.ts",
    "content": "export const environment = {\n  production: true,\n  apiUrl: '/api',\n  version: '2.0',\n};\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/environments/environment.ts",
    "content": "// This file can be replaced during build by using the `fileReplacements` array.\n// `ng build --prod` replaces `environment.ts` with `environment.prod.ts`.\n// The list of file replacements can be found in `angular.json`.\n\nexport const environment = {\n  production: false,\n  apiUrl: 'http://192.168.80.78:8904/api',\n  version: '2.0',\n};\n\n/*\n * For easier debugging in development mode, you can import the following file\n * to ignore zone related error stack frames such as `zone.run`, `zoneDelegate.invokeTask`.\n *\n * This import should be commented out in production mode because it will have a negative impact\n * on performance if an error is thrown.\n */\n// import 'zone.js/dist/zone-error';  // Included with Angular CLI.\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/index.html",
    "content": "<!doctype html>\n<html lang=\"en\">\n<head>\n  <meta charset=\"utf-8\">\n  <title>AuptimizerDashboard</title>\n  <base href=\"/\">\n  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n  <link rel=\"icon\" type=\"image/x-icon\" href=\"favicon.ico\">\n  <link href=\"https://fonts.googleapis.com/css?family=Roboto:300,400,500&display=swap\" rel=\"stylesheet\">\n  <link href=\"https://fonts.googleapis.com/icon?family=Material+Icons\" rel=\"stylesheet\">\n</head>\n<body class=\"mat-typography\">\n  <app-root></app-root>\n</body>\n</html>\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/main.ts",
    "content": "import { enableProdMode } from '@angular/core';\nimport { platformBrowserDynamic } from '@angular/platform-browser-dynamic';\n\nimport { AppModule } from './app/app.module';\nimport { environment } from './environments/environment';\n\nif (environment.production) {\n  enableProdMode();\n}\n\nplatformBrowserDynamic()\n  .bootstrapModule(AppModule)\n  .catch((err) => console.error(err));\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/polyfills.ts",
    "content": "/**\n * This file includes polyfills needed by Angular and is loaded before the app.\n * You can add your own extra polyfills to this file.\n *\n * This file is divided into 2 sections:\n *   1. Browser polyfills. These are applied before loading ZoneJS and are sorted by browsers.\n *   2. Application imports. Files imported after ZoneJS that should be loaded before your main\n *      file.\n *\n * The current setup is for so-called \"evergreen\" browsers; the last versions of browsers that\n * automatically update themselves. This includes Safari >= 10, Chrome >= 55 (including Opera),\n * Edge >= 13 on the desktop, and iOS 10 and Chrome on mobile.\n *\n * Learn more in https://angular.io/guide/browser-support\n */\n\n/***************************************************************************************************\n * BROWSER POLYFILLS\n */\n\n/** IE10 and IE11 requires the following for NgClass support on SVG elements */\n// import 'classlist.js';  // Run `npm install --save classlist.js`.\n\n/**\n * Web Animations `@angular/platform-browser/animations`\n * Only required if AnimationBuilder is used within the application and using IE/Edge or Safari.\n * Standard animation support in Angular DOES NOT require any polyfills (as of Angular 6.0).\n */\n// import 'web-animations-js';  // Run `npm install --save web-animations-js`.\n\n/**\n * By default, zone.js will patch all possible macroTask and DomEvents\n * user can disable parts of macroTask/DomEvents patch by setting following flags\n * because those flags need to be set before `zone.js` being loaded, and webpack\n * will put import in the top of bundle, so user need to create a separate file\n * in this directory (for example: zone-flags.ts), and put the following flags\n * into that file, and then add the following code before importing zone.js.\n * import './zone-flags';\n *\n * The flags allowed in zone-flags.ts are listed here.\n *\n * The following flags will work for all browsers.\n *\n * (window as any).__Zone_disable_requestAnimationFrame = true; // disable patch requestAnimationFrame\n * (window as any).__Zone_disable_on_property = true; // disable patch onProperty such as onclick\n * (window as any).__zone_symbol__UNPATCHED_EVENTS = ['scroll', 'mousemove']; // disable patch specified eventNames\n *\n *  in IE/Edge developer tools, the addEventListener will also be wrapped by zone.js\n *  with the following flag, it will bypass `zone.js` patch for IE/Edge\n *\n *  (window as any).__Zone_enable_cross_context_check = true;\n *\n */\n\n/***************************************************************************************************\n * Zone JS is required by default for Angular itself.\n */\nimport 'zone.js/dist/zone'; // Included with Angular CLI.\n\n/***************************************************************************************************\n * APPLICATION IMPORTS\n */\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/scss/_colors.scss",
    "content": "@import '~@angular/material/theming';\n\n//  http://mcg.mbitson.com/#!?mcgpalette0=%23bb8d00 - generate color palletes\n\n$dark-text: #333333;\n$light-text: #f5f5f5;\n\n$aupt-deep-purple: (\n  50: #ede7f6,\n  100: #d1c4e9,\n  200: #b39ddb,\n  300: #9575cd,\n  400: #7e57c2,\n  500: #673ab7,\n  600: #5e35b1,\n  700: #512da8,\n  800: #4527a0,\n  900: #311b92,\n  A100: #b388ff,\n  A200: #7c4dff,\n  A400: #651fff,\n  A700: #6200ea,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $light-primary-text,\n    400: $light-primary-text,\n    500: $light-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $light-primary-text,\n    A400: $light-primary-text,\n    A700: $light-primary-text,\n  )\n);\n\n$aupt-indigo: (\n  50: #e8eaf6,\n  100: #c5cae9,\n  200: #9fa8da,\n  300: #7986cb,\n  400: #5c6bc0,\n  500: #3f51b5,\n  600: #3949ab,\n  700: #303f9f,\n  800: #283593,\n  900: #1a237e,\n  A100: #8c9eff,\n  A200: #536dfe,\n  A400: #3d5afe,\n  A700: #304ffe,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $light-primary-text,\n    400: $light-primary-text,\n    500: $light-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $light-primary-text,\n    A400: $light-primary-text,\n    A700: $light-primary-text,\n  )\n);\n\n$aupt-pink: (\n  50: #fce4ec,\n  100: #f8bbd0,\n  200: #f48fb1,\n  300: #f06292,\n  400: #ec407a,\n  500: #e91e63,\n  600: #d81b60,\n  700: #c2185b,\n  800: #ad1457,\n  900: #880e4f,\n  A100: #ff80ab,\n  A200: #ff4081,\n  A400: #f50057,\n  A700: #c51162,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $light-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $light-primary-text,\n    A400: $light-primary-text,\n    A700: $light-primary-text,\n  )\n);\n\n$aupt-green: (\n  50: #E8FBF0,\n  100: #C5F5D8,\n  200: #9EEFBF,\n  300: #77E9A5,\n  400: #5AE491,\n  500: #3DDF7E,\n  600: #37DB76,\n  700: #2FD76B,\n  800: #27D261,\n  900: #1ACA4E,\n  A100: #FEFFFE,\n  A200: #CBFFD9,\n  A400: #98FFB3,\n  A700: #7FFFA1,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $light-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $dark-primary-text,\n    A400: $dark-primary-text,\n    A700: $dark-primary-text,\n  )\n);\n\n\n$aupt-blue: (\n  50: #E9EEFF,\n  100: #C9D4FF,\n  200: #A5B7FF,\n  300: #819AFF,\n  400: #6685FF,\n  500: #4B6FFF,\n  600: #4467FF,\n  700: #3B5CFF,\n  800: #3352FF,\n  900: #2340FF,\n  A100: #FFFFFF,\n  A200: #FFFFFF,\n  A400: #D2D7FF,\n  A700: #B8C0FF,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $light-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $dark-primary-text,\n    A400: $dark-primary-text,\n    A700: $dark-primary-text,\n  )\n);\n\n$aupt-cyan: (\n  50: #e0f7fa,\n  100: #b2ebf2,\n  200: #80deea,\n  300: #4dd0e1,\n  400: #26c6da,\n  500: #00bcd4,\n  600: #00acc1,\n  700: #0097a7,\n  800: #00838f,\n  900: #006064,\n  A100: #84ffff,\n  A200: #18ffff,\n  A400: #00e5ff,\n  A700: #00b8d4,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $light-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $dark-primary-text,\n    A400: $dark-primary-text,\n    A700: $dark-primary-text,\n  )\n);\n\n$aupt-teal: (\n  50: #E4F5F3,\n  100: #BAE7E2,\n  200: #8DD7CF,\n  300: #5FC6BC,\n  400: #3CBAAD,\n  500: #1AAE9F,\n  600: #17A797,\n  700: #139D8D,\n  800: #0F9483,\n  900: #088472,\n  A100: #B3FFF2,\n  A200: #80FFEA,\n  A400: #4DFFE2,\n  A700: #33FFDE,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $dark-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $dark-primary-text,\n    A400: $dark-primary-text,\n    A700: $dark-primary-text,\n  )\n);\n\n$aupt-grey: (\n  50: #fafafa,\n  100: #f5f5f5,\n  200: #eeeeee,\n  300: #e0e0e0,\n  400: #bdbdbd,\n  500: #9e9e9e,\n  600: #757575,\n  700: #616161,\n  800: #424242,\n  900: #212121,\n  A100: #ffffff,\n  A200: #eeeeee,\n  A400: #bdbdbd,\n  A700: #616161,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $dark-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $dark-primary-text,\n    A400: $dark-primary-text,\n    A700: $light-primary-text,\n  )\n);\n\n$aupt-gray: $aupt-grey;\n\n$aupt-red: (\n  50: #ffebee,\n  100: #ffcdd2,\n  200: #ef9a9a,\n  300: #e57373,\n  400: #ef5350,\n  500: #f44336,\n  600: #e53935,\n  700: #d32f2f,\n  800: #c62828,\n  900: #b71c1c,\n  A100: #ff8a80,\n  A200: #ff5252,\n  A400: #ff1744,\n  A700: #d50000,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $light-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $light-primary-text,\n    A400: $light-primary-text,\n    A700: $light-primary-text,\n  )\n);\n\n$aupt-amber: (\n  50: #fff8e1,\n  100: #ffecb3,\n  200: #ffe082,\n  300: #ffd54f,\n  400: #ffca28,\n  500: #ffc107,\n  600: #ffb300,\n  700: #ffa000,\n  800: #ff8f00,\n  900: #ff6f00,\n  A100: #ffe57f,\n  A200: #ffd740,\n  A400: #ffc400,\n  A700: #ffab00,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $dark-primary-text,\n    600: $dark-primary-text,\n    700: $dark-primary-text,\n    800: $dark-primary-text,\n    900: $dark-primary-text,\n    A100: $dark-primary-text,\n    A200: $dark-primary-text,\n    A400: $dark-primary-text,\n    A700: $dark-primary-text,\n  )\n);\n\n$aupt-orange: (\n  50: #fff3e0,\n  100: #ffe0b2,\n  200: #ffcc80,\n  300: #ffb74d,\n  400: #ffa726,\n  500: #ff9800,\n  600: #fb8c00,\n  700: #f57c00,\n  800: #ef6c00,\n  900: #e65100,\n  A100: #ffd180,\n  A200: #ffab40,\n  A400: #ff9100,\n  A700: #ff6d00,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $dark-primary-text,\n    600: $dark-primary-text,\n    700: $dark-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $dark-primary-text,\n    A400: $dark-primary-text,\n    A700: black,\n  )\n);\n\n$aupt-deep-orange: (\n  50: #fbe9e7,\n  100: #ffccbc,\n  200: #ffab91,\n  300: #ff8a65,\n  400: #ff7043,\n  500: #ff5722,\n  600: #f4511e,\n  700: #e64a19,\n  800: #d84315,\n  900: #bf360c,\n  A100: #ff9e80,\n  A200: #ff6e40,\n  A400: #ff3d00,\n  A700: #dd2c00,\n  contrast: (\n    50: $dark-primary-text,\n    100: $dark-primary-text,\n    200: $dark-primary-text,\n    300: $dark-primary-text,\n    400: $dark-primary-text,\n    500: $light-primary-text,\n    600: $light-primary-text,\n    700: $light-primary-text,\n    800: $light-primary-text,\n    900: $light-primary-text,\n    A100: $dark-primary-text,\n    A200: $dark-primary-text,\n    A400: $light-primary-text,\n    A700: $light-primary-text,\n  )\n);\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/scss/_helpers.scss",
    "content": ".bg-white {\n  background-color: #fff !important;\n}\n\n.w-full {\n  width: 100% !important;\n}\n\n.h-full {\n  height: 100% !important;\n}\n\n.scrollable {\n  overflow-y: scroll;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/scss/_material-overrides.scss",
    "content": "@import './theme';\n\n.color-primary {\n  color: mat-color($primary, 500) !important;\n}\n.bg-primary {\n  background: mat-color($primary, 500) !important;\n}\n.color-accent {\n  color: mat-color($accent, 800) !important;\n}\n\n.bg-accent {\n  background: mat-color($accent, 800) !important;\n}\n.color-warn {\n  color: mat-color($warn, 500) !important;\n}\n.color-success {\n  color: mat-color($aupt-green, 500) !important;\n}\n.color-error {\n  color: mat-color($warn, 500) !important;\n}\n.color-info {\n  color: mat-color($aupt-cyan, 500) !important;\n}\n.color-warning {\n  color: mat-color($aupt-amber, 500) !important;\n}\n\n.status-Finished {\n  color: mat-color($accent, 800) !important;\n}\n.status-Failed {\n  color: mat-color($aupt-amber, 500) !important;\n}\n\n.color-scheme-light {\n  @include angular-material-theme($light-theme);\n\n  .card-wrapper {\n    color: #d0d0d0;\n  }\n\n  .config-list {\n    background-color: #ffffff;\n  }\n\n  .color-dark {\n    color: $dark-text !important;\n  }\n  .color-light {\n    color: $light-text !important;\n  }\n\n  .color-text-primary {\n    color: #000000;\n  }\n\n  .color-gray {\n    color: rgb(122, 122, 122);\n  }\n\n  .bg-primary {\n    background: mat-color($primary) !important;\n  }\n\n  .bg-accent {\n    background: mat-color($accent) !important;\n  }\n\n  .route-active {\n    color: mat-color($primary);\n  }\n\n  .table-header {\n    background: mat-color($primary);\n    color: white;\n  }\n\n  .first-col-header {\n    border-bottom: 1px solid white;\n    font-weight: 500;\n  }\n\n  .second-col-header {\n    border-bottom: 1px solid white;\n    border-left: 1px solid white;\n    font-weight: 500;\n  }\n\n  .first-col {\n    border-bottom: 1px solid mat-color($primary);\n    font-weight: 500;\n  }\n\n  .second-col {\n    border-bottom: 1px solid mat-color($primary);\n    border-left: 1px solid mat-color($primary);\n  }\n\n  .table-container > *:last-child .first-col {\n    border: unset !important;\n  }\n  .table-container > *:last-child .second-col {\n    border: unset !important;\n    border-left: 1px solid mat-color($primary) !important;\n  }\n\n  .progress-bar-filled,\n  .progress-bar {\n    background-color: whitesmoke;\n    height: 60px;\n    border-radius: 3px;\n    box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.2);\n    .progress-bar-fill {\n      display: block;\n      height: 100%;\n      width: 100%;\n      color: black;\n      text-align: center;\n      background-color: mat-color($accent) !important;\n    }\n  }\n\n  .progress-bar {\n    width: 100%;\n    .progress-bar-fill {\n      background-color: mat-color($accent) !important;\n      border-radius: 3px;\n      transition: width 500ms ease-in-out;\n    }\n  }\n\n  .menu-list-item--active {\n    color: mat-color($primary, default) !important;\n  }\n\n  a {\n    &:not(.mat-button):not(.mat-raised-button):not(.mat-icon-button):not(.mat-list-item) {\n      &:hover,\n      &:active {\n        color: mat-color($primary, 500) !important;\n      }\n    }\n  }\n\n  .actionable {\n    cursor: pointer;\n    &:hover:not(:disabled) {\n      color: mat-color($accent, 500) !important;\n    }\n  }\n\n  .actionable-warn {\n    cursor: pointer;\n    &:hover:not(:disabled) {\n      color: mat-color($warn, 500) !important;\n    }\n  }\n\n  .ngx-pagination a,\n  .ngx-pagination button {\n    color: black !important;\n  }\n}\n\n.color-scheme-dark {\n  @include angular-material-color($dark-theme);\n  // Plotly customizations\n  g > text {\n    fill: #ffffff !important;\n    text-shadow: none !important;\n  }\n  .axis-title,\n  .axis-extent-top > .axis-extent-top-text,\n  .axis-extent-bottom > .axis-extent-bottom-text,\n  .axis-extent-text,\n  .tick {\n    fill: #ffffff !important;\n  }\n  .axis-extent > * {\n    color: #ffffff !important;\n  }\n  .axis-extent-top,\n  .axis-extent-bottom,\n  .tick {\n    color: #ffffff !important;\n  }\n  .tick > text {\n    color: #ffffff !important;\n  }\n\n  .config-list {\n    background-color: #2d2d2d;\n  }\n\n  // Example how you can easy add own custom styles\n  .card-wrapper {\n    color: #2d2d2d;\n  }\n\n  .color-text-primary {\n    color: #ffffff;\n  }\n\n  .color-gray {\n    color: rgb(223, 223, 223);\n  }\n\n  .color-dark {\n    color: $dark-text !important;\n  }\n  .color-light {\n    color: $light-text !important;\n  }\n\n  .bg-primary {\n    background: mat-color($dark-primary) !important;\n  }\n\n  .bg-accent {\n    background: mat-color($dark-accent) !important;\n  }\n\n  .route-active {\n    color: mat-color($dark-primary);\n  }\n\n  .table-header {\n    background: mat-color($primary);\n    color: white;\n  }\n\n  .first-col-header {\n    border-bottom: 1px solid white;\n    font-weight: 500;\n  }\n\n  .second-col-header {\n    border-bottom: 1px solid white;\n    border-left: 1px solid white;\n    font-weight: 500;\n  }\n\n  .first-col {\n    border-bottom: 1px solid mat-color($dark-primary);\n    font-weight: 500;\n  }\n\n  .second-col {\n    border-bottom: 1px solid mat-color($dark-primary);\n    border-left: 1px solid mat-color($dark-primary);\n  }\n\n  .table-container > *:last-child .first-col {\n    border: unset !important;\n  }\n  .table-container > *:last-child .second-col {\n    border: unset !important;\n    border-left: 1px solid mat-color($dark-primary) !important;\n  }\n\n  .menu-list-item--active {\n    color: mat-color($primary, default) !important;\n  }\n\n  .progress-bar-filled,\n  .progress-bar {\n    background-color: whitesmoke;\n    height: 60px;\n    border-radius: 3px;\n    box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.2);\n    .progress-bar-fill {\n      display: block;\n      height: 100%;\n      width: 100%;\n      color: black;\n      text-align: center;\n      background-color: mat-color($accent) !important;\n      display: flex;\n      justify-content: center;\n      align-items: center;\n    }\n  }\n\n  .progress-bar {\n    width: 100%;\n    .progress-bar-fill {\n      background-color: mat-color($accent) !important;\n      border-radius: 3px;\n      transition: width 500ms ease-in-out;\n    }\n  }\n\n  a {\n    &:not(.mat-button):not(.mat-raised-button):not(.mat-icon-button):not(.mat-list-item) {\n      &:hover,\n      &:active {\n        color: mat-color($dark-primary, 500) !important;\n      }\n    }\n  }\n\n  .actionable {\n    cursor: pointer;\n    &:hover {\n      color: mat-color($dark-accent, 500) !important;\n    }\n  }\n\n  .actionable-warn {\n    cursor: pointer;\n    &:hover {\n      color: mat-color($warn, 500) !important;\n    }\n  }\n\n  .ngx-pagination a,\n  .ngx-pagination button {\n    color: white !important;\n  }\n}\n\nbutton {\n  outline: none !important;\n}\n\n.btn-primary {\n  background: mat-color($primary, 500) !important;\n  color: white;\n}\n\n.mat-snack-bar-container,\n.mat-simple-snackbar-action {\n  cursor: pointer;\n\n  color: white !important;\n\n  &.text-error {\n    background: map-get($aupt-red, 500) !important;\n    position: relative;\n\n    & .mat-simple-snackbar {\n      margin-left: 1.1rem !important;\n    }\n\n    &:after {\n      content: '\\26A0' !important;\n      position: absolute;\n      top: 0.9rem;\n      left: 0.6rem;\n      font-size: 1rem;\n    }\n  }\n\n  &.text-warn {\n    position: relative;\n    background: map-get($aupt-orange, 500) !important;\n    color: black !important;\n\n    & .mat-simple-snackbar {\n      margin-left: 1.1rem !important;\n    }\n\n    &:after {\n      content: '\\2714' !important;\n      position: absolute;\n      top: 0.9rem;\n      left: 0.6rem;\n      font-size: 1rem;\n    }\n  }\n\n  &.text-info {\n    position: relative;\n    background: map-get($aupt-cyan, 500) !important;\n    color: black !important;\n\n    & .mat-simple-snackbar {\n      margin-left: 1.1rem !important;\n    }\n\n    &:after {\n      content: '\\2755' !important;\n      position: absolute;\n      top: 0.9rem;\n      left: 0.6rem;\n      font-size: 1rem;\n    }\n  }\n\n  &.text-success {\n    position: relative;\n    background: map-get($aupt-green, 500) !important;\n\n    & .mat-simple-snackbar {\n      margin-left: 1.1rem !important;\n    }\n\n    &:after {\n      content: '\\2714' !important;\n      position: absolute;\n      top: 0.9rem;\n      left: 0.6rem;\n      font-size: 1rem;\n    }\n  }\n}\n\n.mat-simple-snackbar-action > button {\n  padding-top: 0 !important;\n}\n\n.mat-tooltip {\n  font-size: 15px;\n}\n\n.ngx-pagination .current {\n  background: mat-color($primary, 500) !important;\n  border-radius: 50%;\n  padding: 9px 15px !important;\n  font-size: 18px !important;\n}\n\n.ngx-pagination .current:hover {\n  border-radius: 50%;\n  padding: 9px 15px !important;\n  font-size: 18px !important;\n}\n\n.ngx-pagination li,\n.ngx-pagination a {\n  border-radius: 50% !important;\n  padding: 9px 15px !important;\n  font-size: 18px !important;\n}\n\n.ngx-pagination li:focus {\n  outline: none !important;\n  border-radius: 50% !important;\n}\n\n.ngx-pagination li:focus,\n.ngx-pagination a:focus,\n.ngx-pagination button:focus {\n  outline: none !important;\n  border-radius: 50% !important;\n}\n\n.ngx-pagination a,\n.ngx-pagination .pagination-next a,\n.ngx-pagination .pagination-previous a {\n  padding: 9px 15px !important;\n  font-size: 18px !important;\n}\n\n.ngx-pagination .pagination-next a::after,\n.ngx-pagination .pagination-previous a::before {\n  margin: 0 !important;\n}\n\nul {\n  list-style: none !important;\n}\n\nul.help-list li::before {\n  content: '\\A';\n  width: 10px;\n  height: 10px;\n  border-radius: 50%;\n  display: inline-block;\n  margin: 0 10px;\n  background: mat-color($primary, 500);\n  font-weight: bold;\n}\n\n.help-menu {\n  height: 40px !important;\n}\n\n.interaction-btn {\n  position: fixed;\n  bottom: 0;\n  right: 0;\n  margin: 10px;\n}\n\n.help-list > li {\n  padding: 5px;\n}\n\n.sort-toggle {\n  height: 43px;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n}\n.sort-toggle .mat-button-toggle-label-content {\n  padding: 0 !important;\n}\n\n.cursor-pointer {\n  cursor: pointer;\n}\n\n.refresh-interval .mat-form-field-infix {\n  padding: 2px 2px 7px 2px !important;\n  margin: 0 !important;\n}\n\n.header-modal .mat-dialog-container {\n  padding: 0 !important;\n  overflow: unset !important;\n}\n\n.header-dialog-title {\n  height: 50px;\n}\n\n.mat-form-field-appearance-outline.mat-focused .mat-form-field-outline-thick {\n  color: mat-color($accent, 500) !important;\n}\n\n.mat-list-item-disabled {\n  background-color: inherit !important;\n  color: gray !important;\n}\n\n.info-modal .mat-dialog-container {\n  padding: 0 !important;\n  overflow: unset !important;\n}\n\n.info-dialog-content {\n  overflow: auto !important;\n  max-height: 500px !important;\n}\n\n.info-dialog-title {\n  height: 50px;\n  font-size: 18px;\n  font-weight: 500;\n  font-stretch: normal;\n  font-style: normal;\n  line-height: 1.22;\n  letter-spacing: normal;\n  text-align: left;\n  color: #ffffff;\n}\n\n.help-content {\n  max-width: 1000px;\n}\n\n.job-status-table > thead > tr > .mat-sort-header > div {\n  justify-content: center !important;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/scss/jsoneditor-dark.scss",
    "content": ".color-scheme-dark {\n  background: #6c6c6c;\n}\n\n.color-scheme-dark div.jsoneditor-field,\n.color-scheme-dark div.jsoneditor-value,\n.color-scheme-dark div.jsoneditor td,\n.color-scheme-dark div.jsoneditor th,\n.color-scheme-dark div.jsoneditor textarea,\n.color-scheme-dark .jsoneditor-schema-error,\n.color-scheme-dark .ace-jsoneditor.ace_editor {\n  -webkit-text-stroke-width: 0px;\n}\n\n.color-scheme-dark .json-option .mat-checkbox-frame {\n  border-color: #bcbcbc;\n}\n\n.color-scheme-dark .json-option {\n  color: #bcbcbc;\n}\n\n.color-scheme-dark ::-webkit-scrollbar {\n  width: 10px;\n  height: 10px;\n  cursor: pointer;\n  background: rgb(88, 88, 88);\n}\n\n.confirmation-dark {\n  width: 360px;\n}\n\n.confirmation-dark .mat-dialog-container {\n  padding: 15px;\n  border-radius: 2px;\n  overflow: hidden;\n  background: #525252;\n  color: #fff;\n}\n\n.confirmation-dark .mat-dialog-container h1 {\n  font-size: 18px;\n  background: #848484;\n  margin: -15px;\n  margin-bottom: 10px;\n  padding: 10px 15px;\n  color: #fff;\n  font-weight: 400;\n}\n\n.confirmation-dark .mat-dialog-content {\n  margin: -10px -16px;\n  margin-bottom: 10px;\n  padding: 5px 15px;\n  font-size: 16px;\n}\n\n.confirmation-dark .mat-dialog-actions {\n  padding: 5px 10px;\n  margin: -15px;\n  display: inline-block;\n  float: right;\n  min-height: 40px;\n}\n\n.confirmation-dark button.mat-button {\n  float: right;\n  right: 0px;\n}\n\n.confirmation-dark .mat-raised-button {\n  color: #ffffff;\n  background: #838383;\n}\n\n/* Track */\n.color-scheme-dark ::-webkit-scrollbar-track {\n  -webkit-box-shadow: inset 0 0 6px rgba(0, 0, 0, 0.2);\n}\n\n/* Handle */\n.color-scheme-dark ::-webkit-scrollbar-thumb {\n  background: #9b9b9b;\n  border-radius: 0px;\n  cursor: pointer;\n}\n\n.color-scheme-dark .ace_editor.ace-jsoneditor {\n  border: 1px solid #545454;\n}\n\n.color-scheme-dark div.jsoneditor-tree {\n  border: 1px solid #3d3d3d;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_scroller {\n  background-color: #232323;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_marker-layer .ace_selection {\n  background: #808080;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_marker-layer .ace_active-line {\n  background: #545454;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_text-layer {\n  color: #f3f3f3;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_variable {\n  color: #f8f8f8 !important;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_constant.ace_numeric {\n  color: #ff4444;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_constant.ace_language {\n  color: #ff4444;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_string {\n  color: #0dda16 !important;\n}\n\n.color-scheme-dark .jsoneditor-readonly {\n  color: #e9e9e9;\n}\n\n.color-scheme-dark div.jsoneditor-value.jsoneditor-array,\n.color-scheme-dark div.jsoneditor-value.jsoneditor-object {\n  color: #e9e9e9;\n}\n\n.color-scheme-dark div.jsoneditor-field {\n  color: #f8f8f8;\n}\n\n.color-scheme-dark div.jsoneditor-value.jsoneditor-string {\n  color: #0dda16 !important;\n}\n\n.color-scheme-dark div.jsoneditor td.jsoneditor-separator {\n  color: #f2f2f2;\n}\n\n.color-scheme-dark div.jsoneditor-value.jsoneditor-number {\n  color: #ff3d26;\n}\n\n.color-scheme-dark div.jsoneditor-value.jsoneditor-null {\n  color: #65bbff;\n}\n\n.color-scheme-dark div.jsoneditor-menu {\n  background: mat-color($dark-primary, 500) !important;\n}\n\n.color-scheme-dark .jsoneditor-statusbar {\n  color: #fff;\n  background: #3d3d3d;\n  border: none;\n}\n\n.color-scheme-dark div.jsoneditor-navigation-bar {\n  color: #fff;\n  background: #3d3d3d;\n  border: none;\n  line-height: 31px;\n}\n\n.color-scheme-dark tr.jsoneditor-highlight,\n.color-scheme-dark tr.jsoneditor-selected {\n  background-color: #545454;\n}\n\n.color-scheme-dark div.jsoneditor-field.jsoneditor-highlight,\n.color-scheme-dark div.jsoneditor-field[contenteditable='true']:focus,\n.color-scheme-dark div.jsoneditor-field[contenteditable='true']:hover,\n.color-scheme-dark div.jsoneditor-value.jsoneditor-highlight,\n.color-scheme-dark div.jsoneditor-value[contenteditable='true']:focus,\n.color-scheme-dark div.jsoneditor-value[contenteditable='true']:hover {\n  background-color: #545454;\n  border: 1px solid #232323;\n}\n\n.color-scheme-dark div.jsoneditor-tree button {\n  filter: contrast(2) brightness(10);\n}\n\n.color-scheme-dark div.jsoneditor-tree button:focus {\n  background-color: rgba(255, 255, 255, 0.14);\n  outline: 1px solid rgba(229, 229, 229, 0.26);\n}\n\n.color-scheme-dark div.jsoneditor-contextmenu ul {\n  background: #3d3d3d;\n  border: 1px solid #616161;\n}\n\n.color-scheme-dark div.jsoneditor-contextmenu div.jsoneditor-separator {\n  border-color: #616161;\n}\n\n.color-scheme-dark div.jsoneditor-contextmenu ul li button.jsoneditor-expand {\n  border-color: #616161;\n}\n\n.color-scheme-dark div.jsoneditor-contextmenu ul li button div.jsoneditor-expand {\n  filter: contrast(2) brightness(10);\n}\n\n.color-scheme-dark div.jsoneditor-contextmenu ul li button {\n  -webkit-text-stroke-width: 0px;\n  color: #fff;\n}\n\n.color-scheme-dark div.jsoneditor-contextmenu ul li ul li button:focus,\n.color-scheme-dark div.jsoneditor-contextmenu ul li ul li button:hover {\n  background-color: #7c7c7c;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_gutter {\n  background: #333333;\n  color: #fff;\n}\n\n.color-scheme-dark .ace_content {\n  background: #232323;\n}\n\n.color-scheme-dark .jsoneditor-tree {\n  background: #232323;\n}\n\n.color-scheme-dark tr.jsoneditor-highlight .jsoneditor-tree,\n.color-scheme-dark tr.jsoneditor-selected .jsoneditor-tree {\n  background: #545454;\n}\n\n.color-scheme-dark div.jsoneditor-contextmenu ul li button {\n  filter: none;\n}\n\n.color-scheme-dark div.jsoneditor-contextmenu ul li button:focus,\n.color-scheme-dark div.jsoneditor-contextmenu ul li button:hover {\n  background-color: #7d7d7d;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_gutter-active-line {\n  background-color: #797979;\n}\n\n.color-scheme-dark table.jsoneditor-search div.jsoneditor-frame {\n  background-color: #565656 !important;\n}\n\n.color-scheme-dark div.jsoneditor .jsoneditor-search input {\n  color: #fff;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_marker-layer .ace_selected-word {\n  border: 1px solid #808080;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_cursor {\n  border-left: 2px solid #e6e6e6;\n}\n\n.color-scheme-dark .ace-jsoneditor .ace_indent-guide {\n  filter: contrast(0);\n}\n\n.color-scheme-dark .jsoneditor-modal .pico-modal-header {\n  background: #848484 !important;\n}\n\n.color-scheme-dark .jsoneditor-modal {\n  background: #525252 !important;\n  color: #fff !important;\n}\n\n.color-scheme-dark .jsoneditor-modal table td,\n.color-scheme-dark .jsoneditor-modal table th {\n  color: #fff;\n}\n\n.color-scheme-dark .jsoneditor-modal .jsoneditor-jmespath-label {\n  color: #fff;\n}\n\n.color-scheme-dark .jsoneditor-modal #query,\n.color-scheme-dark .jsoneditor-modal .jsoneditor-transform-preview {\n  background-color: #787878;\n  color: #fff;\n  border-color: #343434;\n}\n\n.color-scheme-dark .jsoneditor-modal select,\n.color-scheme-dark .jsoneditor-modal input,\n.color-scheme-dark .jsoneditor-modal .selectr-selected {\n  background: #707070;\n  color: #fff;\n  border-color: #515151;\n}\n\n.color-scheme-dark .jsoneditor-modal .selectr-placeholder {\n  color: #fff;\n}\n\n.color-scheme-dark .selectr-option {\n  background-color: #707070;\n}\n\n.color-scheme-dark .selectr-option.active {\n  color: #fff;\n  background-color: #3883fa;\n}\n\n.color-scheme-dark .selectr-input-container {\n  background: #525252;\n}\n\n.color-scheme-dark .selectr-options-container {\n  border-color: #474747;\n}\n\n.color-scheme-dark .selectr-clear::before,\n.color-scheme-dark .selectr-clear::after,\n.color-scheme-dark .selectr-input-clear::before,\n.color-scheme-dark .selectr-input-clear::after,\n.color-scheme-dark .selectr-tag-remove::before,\n.color-scheme-dark .selectr-tag-remove::after {\n  background-color: #fff;\n}\n\n.color-scheme-dark .selectr-selected::before {\n  border-color: #ffffff transparent transparent;\n}\n\n.color-scheme-dark div.jsoneditor div.jsoneditor-anchor .picker_wrapper.popup.popup_bottom {\n  background: #6d6d6d;\n}\n\n.color-scheme-dark .picker_editor input {\n  background: #232323;\n  color: #fff;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/scss/jsoneditor.scss",
    "content": "::-webkit-scrollbar {\n  width: 10px;\n  height: 10px;\n  cursor: pointer;\n  background: #fff;\n}\n\n/* Track */\n::-webkit-scrollbar-track {\n  -webkit-box-shadow: inset 0 0 6px rgba(0, 0, 0, 0.2);\n}\n\n/* Handle */\n::-webkit-scrollbar-thumb {\n  background: #cecece;\n  border-radius: 0px;\n  cursor: pointer;\n}\n\n.wrapper {\n  width: calc(100vw - 16px);\n  height: calc(100vh - 107px);\n  display: flex;\n  padding: 8px;\n}\n\n.json-option {\n  position: absolute;\n  right: 50%;\n  margin: 10px 20px;\n  color: #dee0f2;\n}\n\n.json-option .mat-checkbox-frame {\n  border-color: #bec6ef;\n}\n\n.json-option span.mat-checkbox-label {\n  position: relative;\n  top: 1px;\n  font-size: 14px;\n}\n\n.json-option .mat-checkbox-checked.mat-accent .mat-checkbox-frame {\n  border: none;\n}\n\n.json-option.mat-checkbox-checked .mat-checkbox-frame {\n  border-color: transparent;\n}\n\ndiv.jsoneditor-field,\ndiv.jsoneditor-value,\ndiv.jsoneditor td,\ndiv.jsoneditor th,\ndiv.jsoneditor textarea,\n.jsoneditor-schema-error,\n.ace-jsoneditor.ace_editor {\n  line-height: 1.5 !important;\n  -webkit-text-stroke-width: 0.1px;\n  color: #585858;\n  font-size: 15px !important;\n  -webkit-font-smoothing: antialiased;\n}\n\ndiv.jsoneditor-menu > button,\ndiv.jsoneditor-menu > div.jsoneditor-modes > button {\n  outline: none;\n}\n\ndiv.jsoneditor td.jsoneditor-separator {\n  padding: 3px 0;\n  vertical-align: middle;\n  color: #585858;\n}\n\n.ace_gutter-cell {\n  padding: 0px 13px !important;\n}\n\n.ace-jsoneditor .ace_gutter {\n  background: white;\n  color: #000000;\n}\n\n.ace-jsoneditor000000.ace_variable {\n  color: #444444 !important;\n}\n\ndiv.jsoneditor-field {\n  color: #000000;\n}\n\ndiv.jsoneditor-value.jsoneditor-number {\n  color: red;\n}\n\ndiv.jsoneditor-value.jsoneditor-string {\n  color: green !important;\n}\n\ndiv.jsoneditor-value.jsoneditor-boolean {\n  color: darkorange;\n}\n\ndiv.jsoneditor-statusbar {\n  line-height: 30px;\n  height: 30px;\n  color: #000000;\n  background-color: white;\n  font-weight: 500;\n  font-size: 14px;\n  margin: 0px;\n  border: 1px solid #ccc;\n  border-bottom: none;\n  border-radius: 0px 0px 4px 4px;\n}\n\nspan.jsoneditor-parse-error-icon {\n  margin: 3px !important;\n}\n\ndiv.jsoneditor-statusbar > .jsoneditor-curserinfo-val {\n  margin-right: 7px;\n}\n\ndiv.jsoneditor-navigation-bar {\n  font-weight: 500;\n  font-size: 14px;\n  height: 30px;\n  line-height: 30px;\n  font-family: 'Roboto';\n  background: white;\n  border: 1px solid #ccc;\n  color: #444;\n  border-bottom: none;\n}\n\ndiv.jsoneditor-outer.has-nav-bar.has-main-menu-bar {\n  margin-top: -75px;\n  padding-top: 75px;\n}\n\n.ace_editor.ace-jsoneditor {\n  border: 1px solid #ccc;\n  width: calc(100% - 2px) !important;\n}\n\ndiv.jsoneditor-tree {\n  background: #fff;\n  border: 1px solid #ccc;\n  width: calc(100% - 2px);\n}\n\ndiv.jsoneditor-treepath span.jsoneditor-treepath-element {\n  font-weight: 500;\n  font-size: 14px;\n  font-family: 'Roboto';\n  margin: 2px;\n}\n\ndiv.jsoneditor-treepath span.jsoneditor-treepath-seperator {\n  font-size: 10px;\n  position: relative;\n  top: -1px;\n  margin: 3px;\n}\n\ndiv.jsoneditor {\n  color: #565656;\n  border-color: #ccc;\n  box-shadow: 0 2px 1px -1px rgba(0, 0, 0, 0.2), 0 1px 1px 0 rgba(0, 0, 0, 0.14), 0 1px 3px 0 rgba(0, 0, 0, 0.12);\n  border: none;\n  border-radius: 4px;\n}\n\n.left,\n.right {\n  width: 50%;\n  height: 100%;\n}\n\n.left {\n  margin-right: 8px;\n}\n\ntable.jsoneditor-search button {\n  outline: none;\n}\n\ndiv.jsoneditor-tree button.jsoneditor-expanded {\n  background-position: 0 -70px;\n}\n\ndiv.jsoneditor-tree button.jsoneditor-collapsed {\n  background-position: 0 -46px;\n}\n\ndiv.jsoneditor-menu {\n  background: mat-color($dark-primary, 500) !important;\n  border: none;\n  height: 45px;\n  padding: 7px 5px;\n  border-radius: 4px 4px 0px 0px;\n}\n\ndiv.jsoneditor-outer.has-main-menu-bar {\n  margin-top: -45px;\n  padding-top: 45px;\n}\n\ndiv.jsoneditor-outer.has-status-bar {\n  margin-bottom: -30px;\n  padding-bottom: 30px;\n}\n\ndiv.jsoneditor-menu a.jsoneditor-poweredBy {\n  display: none;\n}\n\ndiv.jsoneditor-tree div.jsoneditor-color {\n  position: relative;\n  top: 3px;\n  left: 2px;\n}\n\n.jsoneditor-tree input[type='checkbox'] {\n  position: relative;\n  height: 14px;\n  width: 14px;\n  top: 4px;\n  left: 1px;\n  z-index: 2;\n  cursor: pointer;\n}\n\n.jsoneditor-tree input[type='checkbox'] + label {\n  background: url('/assets/unchecked.svg') no-repeat;\n  height: 14px;\n  width: 14px;\n  background-size: 13px;\n  margin-top: 4px;\n  margin-left: 4px;\n  padding: 0px;\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: 1;\n}\n\n.jsoneditor-tree input[type='checkbox']:checked + label {\n  background: url('/assets/checked.svg') no-repeat;\n  height: 14px;\n  width: 14px;\n  background-size: 13px;\n  margin-top: 5px;\n  margin-left: 4px;\n  padding: 0px;\n  position: absolute;\n}\n\ntable.jsoneditor-search {\n  right: 5px;\n  top: 5px;\n}\n\ntable.jsoneditor-search div.jsoneditor-frame {\n  width: 300px;\n  padding: 0 7px;\n  box-shadow: 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12);\n  border-radius: 4px;\n  height: 35px;\n  border: none;\n}\n\ndiv.jsoneditor .jsoneditor-search input {\n  font-size: 14px;\n  width: 245px;\n  height: 35px;\n  padding: 0px;\n  margin: 0px;\n  font-family: 'Roboto';\n}\n\ntable.jsoneditor-search button.jsoneditor-refresh {\n  width: 24px;\n  background-position: -99px -67px;\n}\n\ntable.jsoneditor-search button.jsoneditor-next:hover {\n  background-position: -124px -43px;\n}\n\ntable.jsoneditor-search button.jsoneditor-previous:hover {\n  background-position: -148px -43px;\n}\n\ntable.jsoneditor-search button.jsoneditor-next {\n  background-position: -124px -67px;\n}\n\ntable.jsoneditor-search button.jsoneditor-previous {\n  background-position: -148px -67px;\n}\n\ntable.jsoneditor-search div.jsoneditor-results {\n  color: #fff;\n  font-size: 14px;\n  line-height: 32px;\n  font-family: 'Roboto';\n  text-transform: capitalize;\n  -webkit-text-stroke-width: 0px;\n  margin-right: 5px;\n}\n\n.ace-jsoneditor .ace_indent-guide {\n  filter: contrast(0.6);\n  position: relative;\n  left: 4px;\n}\n\ntr.jsoneditor-highlight,\ntr.jsoneditor-selected {\n  background-color: #eeeeee;\n}\n\ndiv.jsoneditor-tree button.jsoneditor-contextmenu {\n  background-position: -48px -70px;\n}\n\ndiv.jsoneditor-tree button.jsoneditor-contextmenu:hover,\ndiv.jsoneditor-tree button.jsoneditor-contextmenu:focus,\ndiv.jsoneditor-tree button.jsoneditor-contextmenu.jsoneditor-selected,\ntr.jsoneditor-selected.jsoneditor-first button.jsoneditor-contextmenu {\n  background-position: -48px -46px;\n}\n\ndiv.jsoneditor-tree button.jsoneditor-dragarea {\n  background-position: -72px -70px;\n}\n\ndiv.jsoneditor-tree button.jsoneditor-dragarea:hover,\ndiv.jsoneditor-tree button.jsoneditor-dragarea:focus,\ntr.jsoneditor-selected.jsoneditor-first button.jsoneditor-dragarea {\n  background-position: -72px -46px;\n}\n\n.jsoneditor-modal {\n  font-size: 14px;\n  font-family: 'Roboto';\n  padding: 52px 15px 15px 15px !important;\n  box-shadow: 0 11px 15px -7px rgba(0, 0, 0, 0.2), 0 24px 38px 3px rgba(0, 0, 0, 0.14),\n    0 9px 46px 8px rgba(0, 0, 0, 0.12) !important;\n  color: #4d4d4d;\n  border-radius: 4px !important;\n  border: none !important;\n  border-color: transparent !important;\n  line-height: 20px !important;\n}\n\n.jsoneditor-modal .pico-modal-header {\n  background: linear-gradient(to bottom, #556cea, #3f51b5) !important;\n  height: 52px;\n  line-height: 52px;\n  padding: 0px 15px;\n  font-size: 16px;\n  font-family: 'Roboto';\n  border: none !important;\n}\n\n.jsoneditor-modal .pico-close {\n  width: 16px !important;\n  height: 16px !important;\n  margin: 11px 5px;\n}\n\n.jsoneditor-modal .jsoneditor-jmespath-label {\n  color: #4e64da;\n  font-weight: 500;\n}\n\n.jsoneditor-jmespath-block.jsoneditor-modal-actions {\n  float: right;\n  margin: 0px !important;\n  outline: none;\n}\n\n.jsoneditor-modal .jsoneditor-jmespath-block {\n  margin-bottom: 10px;\n}\n\n.jsoneditor-modal input[type='button'],\n.jsoneditor-modal input[type='submit'],\n.picker_done button {\n  box-sizing: border-box;\n  position: relative;\n  user-select: none;\n  cursor: pointer;\n  outline: 0;\n  border: none;\n  -webkit-tap-highlight-color: transparent;\n  display: inline-block;\n  white-space: nowrap;\n  text-decoration: none;\n  vertical-align: baseline;\n  text-align: center;\n  margin: 0;\n  min-width: 64px;\n  line-height: 36px;\n  padding: 0 16px;\n  border-radius: 4px;\n  overflow: visible;\n  transform: translate3d(0, 0, 0);\n  transition: background 0.4s cubic-bezier(0.25, 0.8, 0.25, 1), box-shadow 280ms cubic-bezier(0.4, 0, 0.2, 1);\n  box-shadow: 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12);\n  font-size: 14px;\n  color: #444;\n}\n\n.jsoneditor-transform,\n.jsoneditor-repair,\n.jsoneditor-sort,\n.jsoneditor-search {\n  display: none;\n}\n\n.jsoneditor-modal #query,\n.jsoneditor-modal .jsoneditor-transform-preview {\n  font-family: 'Roboto Mono';\n  font-size: 12px;\n  box-shadow: 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12);\n  outline: none;\n}\n\n.jsoneditor-modal-overlay {\n  background: rgba(0, 0, 0, 0.32) !important;\n  opacity: 1 !important;\n}\n\n.jsoneditor-modal table th,\n.jsoneditor-modal table td {\n  padding: 0px;\n  padding-top: 15px;\n  font-size: 14px;\n  min-width: 75px;\n  font-family: 'Roboto';\n  vertical-align: middle;\n}\n\n.jsoneditor-modal .jsoneditor-jmespath-filter-field,\n.jsoneditor-modal .jsoneditor-jmespath-filter-relation,\n.jsoneditor-modal .jsoneditor-jmespath-sort-field,\n.jsoneditor-modal .jsoneditor-jmespath-sort-order {\n  width: calc(50% - 2px);\n  text-transform: capitalize;\n}\n\n.jsoneditor-modal .jsoneditor-jmespath-filter-value input {\n  width: calc(50% - 23px);\n  height: 22px;\n}\n\n.jsoneditor-modal .selectr-input-container input.selectr-input {\n  margin: 10px;\n}\n\n.jsoneditor-modal .selectr-options {\n  // overflow-y: auto;\n}\n\n.jsoneditor-modal .selectr-placeholder {\n  color: #777777;\n}\n\n.jsoneditor-modal select,\n.jsoneditor-modal input,\n.jsoneditor-modal .selectr-selected {\n  padding: 6px 10px;\n  font-size: 14px;\n  height: 36px;\n  line-height: 1.5em;\n  font-family: 'Roboto';\n  min-width: 203px;\n  outline: none;\n  box-shadow: 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12);\n}\n\n.jsoneditor-modal .jsoneditor-button-group.jsoneditor-button-group-value-asc input.jsoneditor-button-asc,\n.jsoneditor-modal .jsoneditor-button-group.jsoneditor-button-group-value-desc input.jsoneditor-button-desc {\n  border-left-style: none;\n  background: linear-gradient(to bottom, #4a5fd1, #3f51b5) !important;\n  border-color: #4356bf !important;\n  border-top-right-radius: 0px;\n  border-bottom-right-radius: 0px;\n}\n\n.jsoneditor-modal .jsoneditor-button-group input.jsoneditor-button-first {\n  border-left-style: none;\n}\n\n.jsoneditor-button-group {\n  margin-left: 15px;\n}\n\n.jsoneditor-modal .jsoneditor-button-group input.jsoneditor-button-last {\n  border-top-left-radius: 0px;\n  border-bottom-left-radius: 0px;\n}\n\ninput#ok {\n  background: linear-gradient(to bottom, #556cea, #3f51b5);\n  color: #fff;\n}\n\ndiv.jsoneditor-contextmenu ul {\n  width: 175px;\n  box-shadow: 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12);\n  border-radius: 4px;\n  border-radius: 4px;\n  border: none;\n  left: 5px;\n}\n\ndiv.jsoneditor-contextmenu ul li ul {\n  padding: 2px 10px !important;\n  box-shadow: inset 0px 0px 7px rgb(168, 168, 168);\n}\n\ndiv.jsoneditor-contextmenu div.jsoneditor-text {\n  padding: 8px;\n  padding-left: 25px;\n  word-wrap: normal;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n\ndiv.jsoneditor-contextmenu button.jsoneditor-type-modes .jsoneditor-text {\n  padding-left: 8px;\n}\n\ndiv.jsoneditor-contextmenu ul li button {\n  padding: 0px;\n  font-size: 13px;\n  font-family: 'Roboto';\n  width: 100%;\n  -webkit-text-stroke-width: 0.1px;\n}\n\ndiv.jsoneditor-contextmenu ul li button:hover,\ndiv.jsoneditor-contextmenu ul li button:focus {\n  color: #444;\n  background: #eeeeee;\n}\n\ndiv.jsoneditor-contextmenu ul li ul li button {\n  padding-left: 25px;\n}\n\ndiv.jsoneditor-contextmenu div.jsoneditor-icon {\n  top: 4px;\n}\n\ndiv.jsoneditor-contextmenu ul li button div.jsoneditor-expand {\n  top: 4px;\n}\n\ndiv.jsoneditor-contextmenu ul li {\n  margin: 0px;\n  box-sizing: unset;\n}\n\ndiv.jsoneditor-contextmenu div.jsoneditor-separator {\n  padding: 0px;\n  margin: 0px;\n}\n\ndiv.jsoneditor-contextmenu ul li button.jsoneditor-expand {\n  height: 31px;\n  width: 31px;\n}\n\ndiv.jsoneditor-contextmenu ul li button.jsoneditor-default {\n  width: calc(100% - 31px);\n}\n\ndiv.jsoneditor-contextmenu ul li button.jsoneditor-selected,\ndiv.jsoneditor-contextmenu ul li button.jsoneditor-selected:hover,\ndiv.jsoneditor-contextmenu ul li button.jsoneditor-selected:focus {\n  background: linear-gradient(to bottom, #556cea, #3f51b5);\n  -webkit-text-stroke-width: 0px;\n}\n\ndiv.jsoneditor-contextmenu ul li button.jsoneditor-selected .jsoneditor-text {\n  color: #fff;\n}\n\n.picker_arrow {\n  display: none;\n}\n\ndiv.jsoneditor div.jsoneditor-anchor .picker_wrapper.popup.popup_bottom {\n  margin: 0px;\n  font-family: 'Roboto' !important;\n  width: 225px;\n  box-shadow: 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12);\n  background: #ffffff;\n  border-radius: 4px;\n  top: 20px;\n  left: 0px;\n}\n\n.picker_editor input {\n  font-family: 'Roboto' !important;\n  font-size: 14px !important;\n  outline: none;\n  border: 1px solid #ccc;\n  border-radius: 2px;\n}\n\n.picker_done button {\n  line-height: 19px;\n  min-width: 50px;\n  font-family: 'Roboto';\n  font-size: 14px !important;\n  background: #485ccb;\n  color: #fff;\n  border-radius: 3px;\n}\n\n.ace_search {\n  border-radius: 4px 0px 0px 4px !important;\n  border: none !important;\n  font-family: 'Roboto' !important;\n  padding: 5px !important;\n  font-size: 14px;\n  background: white !important;\n  width: 329px;\n  box-shadow: 0 2px 1px -1px rgba(0, 0, 0, 0.2), 0 1px 1px 0 rgba(0, 0, 0, 0.14), 0 1px 3px 0 rgba(0, 0, 0, 0.12);\n}\n\n.ace_search_field {\n  border-radius: 4px 0px 0px 4px !important;\n  padding: 2px 7px !important;\n  min-width: 32px !important;\n  width: 191px;\n}\n\n.ace_searchbtn {\n  padding: 2px 11px !important;\n}\n\n.ace_search_form.ace_nomatch {\n  border-radius: 4px;\n  outline: none !important;\n  border: 1px solid red;\n  margin-right: 23px !important;\n  width: calc(100% - 27px);\n}\n\n.ace_search_form.ace_nomatch .ace_search_field {\n  border-width: 0px !important;\n}\n\n.ace_search_form.ace_nomatch .ace_searchbtn {\n  border-width: 0px 0px 0px 1px !important;\n}\n\n.ace_replace_form {\n  margin-right: 23px !important;\n}\n\n.ace_searchbtn.prev,\n.ace_searchbtn.next {\n  padding: 2px 13px !important;\n}\n\n.ace_searchbtn.prev:after,\n.ace_searchbtn.next:after {\n  position: relative;\n}\n\n.ace_searchbtn.prev:after {\n  left: 2px;\n}\n\n.ace_searchbtn.next:after {\n  left: -2px;\n}\n\n.ace_button {\n  margin: 0px !important;\n  margin-right: 2px !important;\n  padding: 5px 10px !important;\n  font-size: 14px !important;\n  background: #fff !important;\n  line-height: 17px !important;\n  border-radius: 4px;\n  display: inline-block;\n  opacity: 1 !important;\n  color: #444 !important;\n  border: 1px solid #cbcbcb !important;\n}\n\n.ace_button:hover {\n  background: #f4f6ff !important;\n}\n\n.ace_button.checked {\n  border-color: #3399ff !important;\n}\n\n.ace_search_counter {\n  padding: 4px 10px !important;\n}\n\n.ace_search_form,\n.ace_replace_form {\n  margin-bottom: 5px !important;\n}\n\n.ace_search_options {\n  margin: 0px 23px 0px 0px !important;\n  height: 29px;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/scss/main.scss",
    "content": "@import './helpers';\n@import './material-overrides';\n@import '~jsoneditor/dist/jsoneditor.css';\n@import './jsoneditor';\n@import './jsoneditor-dark';\n\n\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/scss/theme.scss",
    "content": "@import './colors';\n@include mat-core();\n\n/* Light theme */\n$primary: mat-palette($aupt-blue);\n$accent: mat-palette($aupt-green);\n$warn: mat-palette($aupt-red);\n$light-theme: mat-light-theme(\n  (\n    color: (\n      primary: $primary,\n      accent: $accent,\n      warn: $warn,\n    ),\n  )\n);\n\n/* Dark theme */\n$dark-primary: mat-palette($aupt-blue);\n$dark-accent: mat-palette($aupt-green);\n$dark-warn: mat-palette($mat-red);\n$dark-theme: mat-dark-theme($dark-primary, $dark-accent, $dark-warn);\n\n/*\n$custom-typography: mat-typography-config(\n  $font-family: 'Lato',\n  $headline: mat-typography-level(32px, 48px, 700),\n  $body-1: mat-typography-level(16px, 24px, 500)\n);\n\n@include angular-material-typography($custom-typography);\n*/\n\n/*\n@media (prefers-color-scheme: light) {\n  @include angular-material-theme($light-theme);\n}\n\n@media (prefers-color-scheme: dark) {\n  @include angular-material-theme($dark-theme);\n}\n*/\n\n/* You can add global styles to this file, and also import other style files */\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/styles.scss",
    "content": "@import 'tailwindcss/base';\n@import 'tailwindcss/components';\n@import 'tailwindcss/utilities';\n\n@import './scss/main';\n\nhtml,\nbody {\n  height: 100%;\n}\nbody {\n\t/* font-family: 'Roboto' !important; */\n  margin: 0px;\n  -webkit-font-smoothing: antialiased;\n}\n\nbutton {\n  outline: none !important;\n}\n\n::-webkit-scrollbar {\n  width: 10px;\n}\n\n/* Track */\n::-webkit-scrollbar-track {\n  background: #f1f1f1 !important;\n}\n\n/* Handle */\n::-webkit-scrollbar-thumb {\n  background: #4b6fff !important;\n}\n\n/* Handle on hover */\n::-webkit-scrollbar-thumb:hover {\n  background: #4b6fff !important;\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/src/test.ts",
    "content": "// This file is required by karma.conf.js and loads recursively all the .spec and framework files\n\nimport 'zone.js/dist/zone-testing';\nimport { getTestBed } from '@angular/core/testing';\nimport { BrowserDynamicTestingModule, platformBrowserDynamicTesting } from '@angular/platform-browser-dynamic/testing';\n\ndeclare const require: {\n  context(\n    path: string,\n    deep?: boolean,\n    filter?: RegExp\n  ): {\n    keys(): string[];\n    <T>(id: string): T;\n  };\n};\n\n// First, initialize the Angular testing environment.\ngetTestBed().initTestEnvironment(BrowserDynamicTestingModule, platformBrowserDynamicTesting());\n// Then we find all the tests.\nconst context = require.context('./', true, /\\.spec\\.ts$/);\n// And load the modules.\ncontext.keys().map(context);\n"
  },
  {
    "path": "src/aup/dashboard/frontend/tailwind.config.js",
    "content": "module.exports = {\n  important: true,\n  theme: {\n    screens: {\n      xs: '599px',\n      sm: '600px',\n      md: '960px',\n      lg: '1280px',\n      xl: '1920px',\n    },\n    cursor: {\n      crosshair: 'crosshair',\n      'zoom-in': 'zoom-in',\n    },\n    container: {\n      center: true,\n    },\n  },\n  variants: {\n    borderColor: ['responsive', 'hover', 'focus', 'group-hover'],\n  },\n  corePlugins: {\n    outline: false,\n    borderColor: false,\n  },\n  plugins: [\n    function ({ addUtilities }) {\n      const newUtilities = {\n        '.truncate-none': {\n          overflow: 'unset',\n          'text-overflow': 'unset',\n          'white-space': 'unset',\n        },\n      };\n\n      addUtilities(newUtilities, {\n        variants: ['responsive'],\n      });\n    },\n  ],\n};\n"
  },
  {
    "path": "src/aup/dashboard/frontend/tsconfig.app.json",
    "content": "{\n  \"extends\": \"./tsconfig.json\",\n  \"compilerOptions\": {\n    \"outDir\": \"./out-tsc/app\",\n    \"types\": []\n  },\n  \"files\": [\"src/main.ts\", \"src/polyfills.ts\"],\n  \"include\": [\"src/**/*.ts\"],\n  \"exclude\": [\"src/test.ts\", \"src/**/*.spec.ts\"]\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/tsconfig.json",
    "content": "{\n  \"compileOnSave\": false,\n  \"compilerOptions\": {\n    \"baseUrl\": \"./\",\n    \"outDir\": \"./febuild/out-tsc\",\n    \"sourceMap\": true,\n    \"declaration\": false,\n    \"downlevelIteration\": true,\n    \"experimentalDecorators\": true,\n    \"module\": \"es2020\",\n    \"moduleResolution\": \"node\",\n    \"importHelpers\": true,\n    \"target\": \"es2015\",\n    \"typeRoots\": [\"node_modules/@types\"],\n    \"lib\": [\"es2018\", \"dom\"],\n    \"allowSyntheticDefaultImports\": true\n  },\n  \"angularCompilerOptions\": {\n    \"fullTemplateTypeCheck\": true,\n    \"strictInjectionParameters\": true\n  }\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/tsconfig.spec.json",
    "content": "/* To learn more about this file see: https://angular.io/config/tsconfig. */\n{\n  \"extends\": \"./tsconfig.json\",\n  \"compilerOptions\": {\n    \"outDir\": \"./out-tsc/spec\",\n    \"types\": [\"jasmine\", \"node\"]\n  },\n  \"files\": [\"src/test.ts\", \"src/polyfills.ts\"],\n  \"include\": [\"src/**/*.spec.ts\", \"src/**/*.d.ts\"]\n}\n"
  },
  {
    "path": "src/aup/dashboard/frontend/webpack.config.js",
    "content": "module.exports = {\n  module: {\n    rules: [\n      {\n        test: /\\.scss$/,\n        loader: 'postcss-loader',\n        options: {\n          ident: 'postcss',\n          plugins: () => [require('tailwindcss'), require('autoprefixer')]\n        }\n      }\n    ]\n  }\n};\n"
  },
  {
    "path": "src/aup/dlconvert/.gitignore",
    "content": "tmp/\n"
  },
  {
    "path": "src/aup/dlconvert/README.md",
    "content": "# Converter\n\n**Converter** is a format conversion tool for machine learning models. It encapsulates best practices of individual Machine Learning model conversions under a single API.\n\nConverter allows you to:\n- **Make your models edge device-friendly.** Transform models in Checkpoint (.meta), Keras (.h5/.hdf5), SavedModel (directory name), Protobuf (.pb), and Pytorch (.pt) into edge-optimized ONNX (.onnx) and TensorFlow Lite (.tflite) formats.\n- **Enhance model interoperability through standardization.** Boost model compatibility with countless compilers, inference engines, and SoCs by converting it into the industry-standard ONNX format.\n- **Get a smaller and faster model.** Make your model more compact and efficient by leveraging *[Quantization] (#sec-quantization)* built into the TensorFlow Lite converter.\n\nThe following source model formats (and file extensions) can be converted to **TensorFlow Lite (.tflite)** and **ONNX (.onnx)**:  \n- **Checkpoint (.meta)**\n- **Keras (.h5/.hdf5)**\n- **SavedModel (directory name)**\n- **Protobuf (.pb)**\n- **PyTorch (.pt)**  \n\nAdditionally, Converter supports conversions:  \n- from Checkpoint to Protobuf\n- from Keras to Protobuf\n- from PyTorch to Keras\n\nTensorFlow 1.15, 2.1 - 2.3 and PyTorch 1.6.0 are tested. The conversion from SavedModel to TensorFlow Lite/ONNX requires TensorFlow version 2.x. Other conversions can be run using both TensorFlow 1.15 or 2.x. \n\n## Install\n\n*Note:* Converter leverages conversion libraries that have different version requirements (mainly for TensorFlow).\nIt is highly recommended to use Docker or Python's virtualenv to isolate your environment. \n\n1. Install Auptimizer\n2. If you would like to convert from Checkpoint/Keras/Protobuf/SavedModel model formats, please run:\n\n```bash\npip install keras2onnx tf2onnx\n``` \nIf you would like to convert from PyTorch format, please run:\n\n```bash\npip install pytorch2keras keras2onnx tf2onnx\n```\n\n## Usage\n\n1. **Recommended:** Check whether your model architecture is supported for the target conversion [*here*](/Examples/converter_examples/Tested_Models).\n\n2. **Important:** Ensure that you can load and run your model, otherwise you will not be able to convert it successfully.\n\n3. Specify conversion parameters. There are certain parameters to specify for each type of conversion. These parameters need to be written in a configuration *.json* file. You can list configurations for multiple model conversion tasks in a single .json file to execute model conversions sequentially. An example configuration for converting a VGG16 Keras model to ONNX is as follows:\n```bash\n    {\n        \"convert_from\":\"test_models/VGG16.h5\",\n        \"convert_to\":\"converted_models/VGG16_keras.onnx\",\n    }\n```\n\n4. After preparing the configuration .json file, run the following command to start the conversions.\n```bash\n    python -m aup.dlconvert -f <configuration json file> \n```\nAlternatively, you can also write the configuration in a *json dictionary* format, and run\n```bash\n    python -m aup.dlconvert -d <configuration json dictionary> \n```\n\n\n## Parameters\n\nFor **all** conversions, the two required parameters are **convert_from** and **convert_to**.\n\nFor each specific conversion, there can be additional parameters needed. These parameters are usually dependent on the source- and target model formats, and are summarized in the following chart:\n\n\n\n|  From      | To      | quantization | input_nodes | output_nodes | network_script network_name |input_shape| onnx_opset | frozen| savedmodel_tag savedmodel_signature\n| -----------| ------|-----------  |  -----------  | --------- | -----------  |  -----------  | --------- | ----------| ---------|\n| Keras      |TensorFlow Lite | Optional |  \n| SavedModel |TensorFlow Lite | Optional |   \n| Checkpoint |TensorFlow Lite | Optional | Required |Required |  | Optional    \n| Protobuf   |TensorFlow Lite | Optional |Required | Required | | Optional\n| PyTorch    |TensorFlow Lite| Optional  | | |Required|Required\n| Keras      |ONNX   |  | | | ||Optional | | |\n| SavedModel |ONNX   |  | | | ||Optional | | Optional \n| Checkpoint |ONNX   |  |Required | Required | | Optional|Optional     \n| Protobuf   |ONNX   |  |Required | Required | | Optional|Optional  \n| PyTorch    |ONNX   |  | | | Required |Required| Optional| \n| Keras      |Protobuf|  | | Required| |||Optional| |\n| Checkpoint |Protobuf|  | | Required| |||Optional| |\n| PyTorch    |Keras  |  | | | Required | Required\n\n\n**--convert_from**  \nRequired for **all** conversions. Input model file with one of the supported extensions: `.meta`, `.h5/.hdf5`, `.pb`, `.pt`, or a directory path for SavedModel.  \n\n**--convert_to**  \nRequired for **all** conversions. Output model name with one of the supported extensions: `.tflite`, `.onnx`, `.pb`, or `.h5/.hdf5`.  \n\n<a name=\"sec-quantization\">\n</a>\n\n**--quantization**  \nParameter *quantization* includes a group of parameters used for enabling quantization while converting to TensorFlow Lite format. Post-training quantization is a built-in functionality of the TensorFlow Lite Converter. The Converter API supports calling this functionality.\n\nTo specify quantization parameters, write in the configuration .json file:\n```bash\n   {\n        \"convert_from\":\"test_models/VGG16.h5\",\n        \"convert_to\":\"converted_models/VGG16_keras.tflite\",\n        \"quantization\": {\n            \"optimization\":\"default\",\n            \"type\":\"float16\",\n            \"opsset\":\"tf\",\n            \"load\":\"repdata.py\"\n        }\n    }\n```\n\nMore detail on post-training quantization capabilities and parameter setting can be found in [Post-training quantization](https://www.tensorflow.org/lite/performance/post_training_integer_quant#convert_to_a_tensorflow_lite_model)\n\n**--optimization**  \nEnable/disable quantization for conversion. Choose from `none` or `default`. Default is `none`. When using `none`, no quantization will be performed and the converted TensorFlow Lite model will be in float32 format. When using `default`, best practices will be applied for quantization with the other given information via `--type`, `--opsset`, and `--load`.\n\n**--type**  \nTarget data type for constant values of the converted TensorFlow Lite model. Choose from `float32`, `float16`, `int8`,and `uint8`. Default is `float32`. \n\n**--opsset**  \nSet of OpsSet options supported by the target device (experimental). Choose from  \n`tflite`, which refers to `[tensorflow.lite.OpsSet.TFLITE_BUILTINS]`,  \n`tf`, which refers to `[tensorflow.lite.OpsSet.SELECT_TF_OPS, tensorflow.lite.OpsSet.TFLITE_BUILTINS]`,   \n and `int8`, which refers to `[tensorflow.lite.OpsSet.TFLITE_BUILTINS_INT8]`. Default is `tflite`. \n\n**--load**  \nA python script that implements a data generation function that generates representative data for quantizing variable data, such as feature maps. The function should be named `get_dataset`, and it should be a generator function that yields large enough dataset to represent typical data values. Check [representative data](../../../Examples/converter_examples/Convert_Benchmark/repdata.py) for example.\n \n**--input_nodes**  \nModel input names (separated by comma), which can be found with [summarize graph tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/graph_transforms#inspecting-graphs). Those names typically end with `:0`, for example `input:0`.\n\n**--output_nodes**  \nModel output names (separated by comma). which can be found with [summarize graph tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/graph_transforms#inspecting-graphs). Those names typically end with `:0`, for example `output/Softmax:0`.\n\n**--input_shape**  \nIf the `input_nodes` in *protobuf* or *checkpoint* has unspecified shapes other than the 1st dimension, the `input_shape` needs to be specified by a comma separated string, for example `1,3,224,224`. For multiple `input_nodes`, use `;` to separate their corresponding `input_shape`.  \nThe shape of `input_nodes` can also be checked using the [summarize graph tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/graph_transforms#inspecting-graphs), where unspecified shape is usually represented by **-1**. \n\n**--network_script**  \nPath to a Python script that contains the model definition of the PyTorch model to be converted.\n\n**--network_name**  \nClass name of the model to be converted, defined in the script specified in `network_script` .\n\n**--onnx_opset**  \nOpset version to use for ONNX. Default is `10`. The ONNX opset version updates can be found in [ONNX release notes](https://github.com/onnx/onnx/releases).\n\n**--frozen**  \nFlag to control whether to create a frozen Protobuf. Default is `True`.  \n\n**--savedmodel_tag**  \nTag to use for SavedModel. Default is `serve`. The SavedModel to be converted *cannot have an emtpy tag*.\n\n**--savedmodel_signature**  \nSignature to use for SavedModel within the specified `--tag` value. Default is `serving_default`. The SavedModel to be converted *cannot have an emtpy signature*.\n\n**--skip**\nThis parameter is for converting selected models when there are multiple conversion configurations in the json file. When set to `True`, the model will be skipped and not be converted. Default is `False`. \n\n\n## Examples\nWe provide extensive examples on using model conversion in various use cases in [converter_examples](../../../Examples/converter_examples), including:\n\n1. Evaluating supported model architectures for each type of conversion [(*link*)](../../../Examples/converter_examples/Tested_Models)\n2. Benchmarking quantized TensorFlow Lite models on Android platform [(*link*)](../../../Examples/converter_examples/Convert_Benchmark)\n3. Profiling performances of converted models using Auptimizer Profiler [(*link*)](../../../Examples/converter_examples/Convert_Profiler)\n\nPlease check these examples for better utilization of Converter.\n\n\n### Known Issues\n- Limited support on certain model architectures\n- Quantization for TensorFlow Lite conversion can lead to [significant accuracy loss](https://github.com/tensorflow/tensorflow/issues/40000)\n"
  },
  {
    "path": "src/aup/dlconvert/__init__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\""
  },
  {
    "path": "src/aup/dlconvert/__main__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nDLconvert main entry\n====================\n\nConvert models to TFLite/ONNX format for deployment.\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert -f <conversion_json_file> \\\\\n\n\nSupport frameworks and model formats are:\n\n+ Keras `.h5`\n+ Keras `.hdf5`\n+ Savedmodel (directory)\n+ PyTorch `.pt`\n+ TF ProtoBuf `.pb`\n+ Checkpoint `.meta`\n+ TFLite `.tflite`\n+ ONNX `.onnx`\n\n\"\"\"\nimport argparse\nimport os\nimport sys\nimport json\n\nimport logging\nimport coloredlogs\nimport subprocess\n\nfrom ..utils import LOG_LEVEL\n\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  #disable tensorflow debugging messages\nlogger = logging.getLogger(\"aup.dlconvert\")\n\n\n\nMODEL_MAP = {\"h5\":\"keras\",\n             \"tflite\":\"tflite\",\n             \"onnx\":\"onnx\",\n             \"pb\":\"pb\",\n             \"hdf5\":\"keras\",\n             \"pt\":\"pytorch\",\n             \"meta\":\"checkpoint\"}\n\n\ndef _verify_file(filename):\n    assert len(filename) >= 2, \"Filename should be <x>.<type>\"\n    assert filename.split(\".\")[-1] in MODEL_MAP, \"unsupport file type for %s\"%filename\n\n    \ndef run_conversion(model, output, unknownargs):\n    if os.path.isdir(model):\n        from_model = \"savedmodel\"\n    else:\n        from_model = MODEL_MAP[model.split(\".\")[-1]]\n      \n    to_model = MODEL_MAP[output.split(\".\")[-1]]\n    func_to_call = \"aup.dlconvert.%s_to_%s -i %s -o %s\"%(from_model, to_model, model, output)\n    command = sys.executable + \" -m \" + func_to_call + \" \" + \" \".join(unknownargs)\n    logger.info(\"Running: \" + command)\n\n    proc = subprocess.Popen([command], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell=True)\n    (out, err) = proc.communicate()\n    logger.debug(\"Conversion debug details:\" + str(out))\n    logger.debug(\"Conversion debug errors:\" + str(err))\n    success_code = proc.returncode\n    if success_code == 0:\n        logger.info(\"Conversion Success: \" + output)\n    else:\n        raise Exception(\"Conversion Failed\")\n    \n    \ndef get_parameters(job):\n    if not job['convert_from'] or not job['convert_to']:\n        logging.critical(\"The job does not have correct file details. Please provide a 'convert_from' and 'convert_to' parameters.\")\n        return (None, None, None) \n    model = job[\"convert_from\"]\n    output = job[\"convert_to\"]\n    skip = False #for testing purposes only, skipping the model the user does not want to convert\n    unknownargs = {}\n    if \"skip\" in job:\n        skip = (job[\"skip\"]==\"True\")\n        if skip:\n            return(model, output, skip, [])\n\n    if \"input_nodes\" in job:\n        unknownargs[\"input_nodes\"] = job[\"input_nodes\"]\n        \n    if \"output_nodes\" in job:\n        unknownargs[\"output_nodes\"] = job[\"output_nodes\"]\n        \n    if \"network_script\" in job:\n        unknownargs[\"net\"] = job[\"network_script\"]\n        \n    if \"network_name\" in job:\n        unknownargs[\"net_name\"] = job[\"network_name\"]\n        \n    if \"input_shape\" in job:\n        unknownargs[\"input_shape\"] = job[\"input_shape\"]\n        \n    if \"frozen\" in job:\n        unknownargs[\"frozen\"] = job[\"frozen\"]\n        \n    if \"onnx_opset\" in job:\n        unknownargs[\"opset\"] = job[\"onnx_opset\"]\n        \n    if \"savedmodel_tag\" in job:\n        unknownargs[\"tag\"] = job[\"savedmodel_tag\"]\n        \n    if \"savedmodel_signature\" in job:\n        unknownargs[\"signature\"] = job[\"savedmodel_signature\"]\n        \n    if \"quantization\" in job:\n        if \"optimization\" in job[\"quantization\"]:    \n            unknownargs[\"opt\"] = job[\"quantization\"][\"optimization\"]\n        if \"type\" in job[\"quantization\"]:\n            unknownargs[\"type\"] = job[\"quantization\"][\"type\"]\n        if \"opsset\" in job[\"quantization\"]:\n            unknownargs[\"ops\"] = job[\"quantization\"][\"opsset\"]\n        if \"load\" in job[\"quantization\"]:\n            unknownargs[\"load\"] = job[\"quantization\"][\"load\"]\n            \n    other_args = []\n    if \".onnx\" in output and \"opt\" in unknownargs:\n        unknownargs.pop(\"opt\")\n        \n    for key in unknownargs:\n        other_args.append(\"--\"+key+\" \"+unknownargs[key]+\" \")\n            \n    return(model, output, skip, other_args)\n\n\nif __name__ == \"__main__\":\n\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"-f\", \"--file\", required=False, help=\"Input conversion json file\")\n    parser.add_argument(\"-d\", \"--dic\", required=False, help=\"Input conversion json dictionary\")\n    parser.add_argument(\"--log\", default=\"info\", required=False, choices=[\"debug\", \"info\", \"warn\", \"error\"], help=\"log level\")\n    args, unknownargs = parser.parse_known_args()\n    \n    coloredlogs.install(level=LOG_LEVEL[args.log], fmt=\"%(name)s - %(levelname)s - %(message)s\")\n    \n    if args.file:\n        try:\n            with open(args.file) as f:\n                convert_dict = json.load(f)\n        except Exception as e:\n            logging.fatal(\"The json file could not be converted\")\n            raise e\n    elif args.dic:\n        try:\n            convert_dict = json.loads(args.dic)\n        except Exception as e:\n            logging.fatal(\"The json dictionary could not be converted\")\n            raise e\n    else:\n        logging.fatal(\"The json file or dictionary not provided\")\n        convert_dict={}\n\n    for job in convert_dict:\n        try:\n            (model, output, skip, unknownargs) = get_parameters(job)\n            if not skip:\n                logger.info(\"current job: \" + str(job))\n                run_conversion(model, output, unknownargs)\n        except:\n            logging.fatal(\"The following conversion job failed: \" + str(job))\n            continue\n         \n\n"
  },
  {
    "path": "src/aup/dlconvert/__version__.py",
    "content": "VERSION = \"0.2\""
  },
  {
    "path": "src/aup/dlconvert/checkpoint_to_onnx.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nCheckpoint to ONNX\n==================\n\nAdditional node tensor names are needed to convert TF checkpoint to ONNX.\nSee :func:`dlconvert.to_onnx.convert` for more information.\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.checkpoint_to_onnx.py --model model_ckpt/ckpt.meta \\\\\n      --output model.onnx \\\\\n      --input_nodes input:0 \\\\\n      --output_nodes output/Softmax:0 \\\\\n      [--input_shape 1,224,224,3]\n\n\"\"\"\nfrom os import path\nfrom absl import flags, app\nfrom .utils import reset_flag\n\nFLAGS = flags.FLAGS\nreset_flag() \n\nfrom .to_onnx import convert_onnx # pylint: disable=wrong-import-position\n\nflags.DEFINE_string(\"model\", \"model_ckpt/ckpt.meta\", \"input model ckpt meta file path\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.onnx\", \"output onnx model\", short_name=\"o\")\nflags.DEFINE_string(\"input_nodes\", \"input:0\", \"model input names (sep by comma)\")\nflags.DEFINE_string(\"output_nodes\", \"label:0\", \"model output names (sep by comma)\")\nflags.DEFINE_string(\"input_shape\", None, \"input shape\")\nflags.register_validator(\"model\", path.isfile, message=\"Input checkpoint meta file is missing\")\n\n\ndef convert(model: str, output: str, input_nodes: str, output_nodes: str, input_shape: str):\n    \"\"\"Convert TF checkpoint to ONNX use `tf2onnx <https://github.com/onnx/tensorflow-onnx>`_ package.\n\n    Args:\n        model (str): meta file path\n        output (str): output onnx filename\n        input_nodes (str): model input names\n        output_nodes (str): model output names\n        [input_shape (str): model input shape, needed if input dimension is not specified in model graph]\n    \"\"\"\n    if input_shape is not None:\n        # match input_shape with input_node and recreate the input_nodes string\n        shapes = []\n        input_shapes = FLAGS.input_shape.split(\";\")\n        input_nodes = input_nodes.split(\",\")\n        new_input_nodes = []\n        for input_node, input_shape in zip(input_nodes, input_shapes):\n            new_input_node = input_node + \"[\" + input_shape + \"]\"\n            new_input_nodes.append(new_input_node)\n        input_nodes = \",\".join(new_input_nodes)\n\n    argv = {\"checkpoint\" : model, \n            \"output\" : output,\n            \"inputs\" : input_nodes,\n            \"outputs\" : output_nodes}\n    convert_onnx(**argv)\n\ndef _main(_):\n    convert(FLAGS.model, FLAGS.output, FLAGS.input_nodes, FLAGS.output_nodes, FLAGS.input_shape)\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/checkpoint_to_pb.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nCheckpoint to TF ProtoBuf\n=========================\n\nRequire checkpoint folder with `.meta` file.  Otherwise, please save the meta file manually before convertion.\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.checkpoint_to_pb.py --model  model_ckpt/model.meta \\\\\n       --output model_frozen.pb \\\\\n       --frozen \\\\\n       --output_nodes output/Softmax:0\n\n\"\"\"\nfrom os import path\nfrom typing import List\nimport tensorflow.compat.v1 as tf # pylint: disable=import-error\nfrom absl import flags, app\nfrom .utils import reset_flag\n\nFLAGS = flags.FLAGS\nreset_flag()\n\n# pylint: disable=wrong-import-position\nfrom .to_frozen_pb import to_frozen\n\nflags.DEFINE_string(\"model\", \"model-ckpt/model.meta\", \"input model ckpt meta file path\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.pb\", \"output filename\", short_name='o')\nflags.DEFINE_bool(\"frozen\", True, \"create frozen protobuf\")\nflags.DEFINE_string(\"output_nodes\", \"\", \"model output names (separated by comma)\")\nflags.register_validator(\"model\", path.isfile, message=\"Input checkpoint meta file is missing\")\nflags.register_validator(\"output_nodes\", lambda x: len(x.split(','))>0, message=\"Provide at least one output node name\")\n\n\ndef convert(checkpoint_meta_file: str, frozen: bool = False, output_nodes: List[str] = ()) -> tf.GraphDef:\n    \"\"\"Convert TF Checkpoint to ProtoBuf\n\n    Args:\n        checkpoint_meta_file (str): checkpoint meta file name\n        frozen (bool, optional): to create a frozen graphdef. Defaults to False.\n        output_nodes (List[str], optional): A list of output node names for frozen graph. Defaults to ().\n\n    Returns:\n        tf.GraphDef: Tensorflow Graph to be written to file\n\n    \"\"\"\n    model_dir = path.dirname(checkpoint_meta_file)\n    ckpt = tf.train.get_checkpoint_state(model_dir)\n    g = tf.Graph()\n    with g.as_default():\n        saver = tf.train.import_meta_graph(ckpt.model_checkpoint_path+\".meta\",\n                                           clear_devices=True)\n        input_graph_def = g.as_graph_def()\n    with tf.Session(graph=g) as sess:\n        saver.restore(sess, ckpt.model_checkpoint_path)\n        if frozen:\n            input_graph_def = to_frozen(sess, output_nodes)    \n    return input_graph_def\n\n\ndef _main(_):\n    protobuf = convert(FLAGS.model, FLAGS.frozen, FLAGS.output_nodes.split(\",\"))\n    with open(FLAGS.output, \"wb\") as fp: # pylint: disable=invalid-name\n        fp.write(protobuf.SerializeToString())\n\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/checkpoint_to_tflite.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nCheckpoint to TFLite\n====================\n\nRequire checkpoint folder with `.meta` file.  Otherwise, please save the meta file manually before convertion.\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.checkpoint_to_tflite.py --model  model_ckpt/ckpt.meta \\\\\n       --output model_tflite.tflite \\\\\n       --input_nodes input:0 \\\\\n       --output_nodes output/Softmax:0 \\\\\n       [--input_shape 1,224,224,3]\n\n\"\"\"\nfrom os import path, remove\nfrom typing import List\nimport tensorflow.compat.v1 as tf # pylint: disable=import-error\nfrom absl import flags, app\nfrom .utils import reset_flag\nimport logging\nlogger = logging.getLogger(\"aup.dlconvert\")\n\nFLAGS = flags.FLAGS\nreset_flag()\n\n# pylint: disable=wrong-import-position\nfrom .to_frozen_pb import to_frozen\nfrom .pb_to_tflite import model_loader\nfrom .to_tflite import create_converter\n\ndef convert(checkpoint_meta_file: str, output_nodes: List[str] = ()):\n    \"\"\"Convert TF Checkpoint to TFLite model\n\n    Args:\n        checkpoint_meta_file (str): checkpoint meta file name\n        output_nodes (List[str], optional): A list of output node names for frozen graph. Defaults to ().\n\n    Returns:\n        tflite model \n\n    \"\"\"\n    model_dir = path.dirname(checkpoint_meta_file)\n    ckpt = tf.train.get_checkpoint_state(model_dir)\n    # check if valid checkpoint file can be loaded\n    if ckpt is None:\n        return None\n    # convert to frozen graph first\n    g = tf.Graph()\n    with g.as_default():\n        saver = tf.train.import_meta_graph(ckpt.model_checkpoint_path+\".meta\",\n                                           clear_devices=True)\n        graph_def = g.as_graph_def()\n    with tf.Session(graph=g) as sess:\n        saver.restore(sess, ckpt.model_checkpoint_path)\n        graph_def = to_frozen(sess, output_nodes)  \n    \n    with open(\"tmp.pb\", \"wb\") as fp: \n        fp.write(graph_def.SerializeToString())  \n    # convert from froze protobuf to tflite\n    converter = create_converter(\"tmp.pb\", model_loader)\n    tflite_model = converter.convert()\n    \n    remove(\"tmp.pb\")\n    return tflite_model\n\ndef _main(_):\n    tflite_model = convert(FLAGS.model, FLAGS.output_nodes.split(\",\"))\n    try:\n        with open(FLAGS.output, \"wb\") as f:\n            f.write(tflite_model)\n    except Exception as e:\n        logging.fatal(\"No valid checkpoint file found\")\n        raise e\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/keras_to_onnx.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nKeras to ONNX\n=============\n\nDepends on `tf2onnx <https://github.com/onnx/tensorflow-onnx>`_ and\n`keras2onnx <https://github.com/onnx/keras-onnx>`_ (TF1.x support only).\nNeeds to import `tf2onnx` first to resolve dependency\notherwise import `keras2onnx` may result in error\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.keras_to_onnx.py -i model.h5 -o model.onnx\n\n\"\"\"\nfrom os import path, environ\nenviron[\"TF_KERAS\"] = \"1\"\n\nimport tf2onnx\nimport keras2onnx # pylint: disable=import-error\n\nfrom absl import flags, app\nfrom tensorflow.compat.v1 import keras # pylint: disable=import-error\nfrom .utils import reset_flag\n\nFLAGS = flags.FLAGS\nreset_flag()\n\nflags.DEFINE_string(\"model\", \"model.h5\", \"input model\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.onnx\", \"output\", short_name=\"o\")\nflags.register_validator(\"model\", path.isfile, message=\"missing input model\")\n\n\ndef convert(model: str, output: str):\n    \"\"\"Convert Keras model to ONNX\n\n    Args:\n        model (str): Keras h5 model file path\n        output (str): output ONNX file path\n    \"\"\"\n    model = keras.models.load_model(model)\n    model = keras2onnx.convert_keras(model)\n    with open(output, \"wb\") as fp:\n        fp.write(model.SerializeToString())\n\n\ndef _main(_):\n    convert(FLAGS.model, FLAGS.output)\n\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/keras_to_pb.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nKeras to ProtoBuf\n=================\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.keras_to_pb.py --model model.h5 \\\\\n       --output model.pb \\\\\n       --frozen \\\\\n       --output_nodes output/Softmax:0\n\n\"\"\"\nfrom os import path\nfrom typing import List\nfrom absl import flags, app\nimport tensorflow as tf\nfrom .utils import reset_flag\n\nFLAGS = flags.FLAGS\nreset_flag()\nfrom .to_frozen_pb import to_frozen # pylint: disable=wrong-import-position\n\nflags.DEFINE_string(\"model\", \"model.h5\", \"input model\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.pb\", \"output\", short_name=\"o\")\nflags.DEFINE_bool(\"frozen\", True, \"create frozen protobuf\")\nflags.DEFINE_string(\"output_nodes\", \"output/Softmax:0\", \"output nodes (separated by comma)\")\nflags.register_validator(\"model\", path.isfile, message=\"missing input model\")\n\n\ndef _to_graphdef():\n    sess = tf.compat.v1.keras.backend.get_session()\n    graph = sess.graph\n    return graph.as_graph_def()\n\n\ndef convert(model: str, frozen: bool = False, output_nodes: List[str] = ()) -> tf.compat.v1.GraphDef:\n    \"\"\"Convert Keras model to tensorflow graphdef\n\n    Args:\n        model (str): Keras model file name\n        frozen (bool, optional): To frozen graphdef. Defaults to False.\n        output_nodes (List[str], optional): output nodes, otherwise, use model outputs from Keras model. Defaults to ().\n\n    Returns:\n        tf.GraphDef: Tensorflow GraphDef\n    \"\"\"\n    model = tf.keras.models.load_model(model)\n    tf.compat.v1.keras.backend.set_learning_phase(0)\n    if frozen:\n        if not output_nodes:\n            output_nodes = model.output.op.name\n        sess = tf.compat.v1.keras.backend.get_session()\n        protobuf = to_frozen(sess, output_nodes)\n    else:\n        protobuf = _to_graphdef()\n    return protobuf\n\n\ndef _main(_):\n    protobuf = convert(FLAGS.model, FLAGS.frozen, FLAGS.output_nodes.split(\",\"))\n    with open(FLAGS.output, 'wb') as fp:\n        fp.write(protobuf.SerializeToString())\n\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/keras_to_tflite.py",
    "content": "#!/usr/bin/env python3\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nKeras to TFlite\n===============\n\nSee :func:`dlconvert.to_tflite.setup_converter` for more control arguments for `tflite`.\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.keras_to_tflite.py --model model.h5 \\\\\n       --output model_keras.tflite \\\\\n       [--load rep_data] \\\\\n       [--opt default --ops int8 --type int8]\n\n\"\"\"\nfrom os import path\nfrom tensorflow import lite, keras, __version__ # pylint: disable=no-name-in-module\nfrom absl import flags, app\nfrom .utils import reset_flag\n\nFLAGS = flags.FLAGS\nreset_flag()\n\nfrom .to_tflite import create_converter # pylint: disable=wrong-import-position\n\nflags.DEFINE_string(\"model\", \"model.h5\", \"input model\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.tflite\", \"output\", short_name=\"o\")\nflags.register_validator(\"model\", path.isfile, message=\"missing input model\")\n\n\ndef model_loader(filename: str) -> lite.TFLiteConverter:\n    \"\"\"TF 1/2 tflite converter loading function\n\n    Args:\n        filename (str): Keras model file\n\n    Returns:\n        lite.TFLiteConverter: TFLite converter to be used\n    \"\"\"\n    if __version__[0] == \"2\":\n        model = keras.models.load_model(filename)\n        return lite.TFLiteConverter.from_keras_model(model)\n    return lite.TFLiteConverter.from_keras_model_file(filename)\n\n\ndef convert(model: str, output: str):\n    \"\"\"Convert Keras model to tflite model\n\n    Args:\n        model (str): input model file name\n        output (str): output model file name\n    \"\"\"\n    converter = create_converter(model, model_loader)\n    tflite_model = converter.convert()\n    with open(output, \"wb\") as f:\n        f.write(tflite_model)   \n\n\ndef _main(_):\n    convert(FLAGS.model, FLAGS.output)\n\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/pb_to_onnx.py",
    "content": "#!/usr/bin/env python\n\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nProtoBuf to ONNX\n================\n\nInput and output node names are needed.\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.pb_to_onnx.py --model model.pb --output model.onnx \\\\\n       --input_nodes input:0 --output_nodes output/Softmax:0 \\\\\n       [--input_shape 1,224,224,3]\n\n\"\"\"\nfrom os import path\nfrom absl import flags, app\nfrom .utils import reset_flag\n\nFLAGS = flags.FLAGS\nreset_flag()\n\nfrom . import to_onnx # pylint: disable=wrong-import-position\n\nflags.DEFINE_string(\"model\", \"model.pb\", \"input model\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.onnx\", \"output onnx model\", short_name=\"o\")\nflags.DEFINE_string(\"input_nodes\", \"input:0\", \"model input names (sep by comma)\")\nflags.DEFINE_string(\"output_nodes\", \"label:0\", \"model output names (sep by comma)\")\nflags.DEFINE_string(\"input_shape\", None, \"input shape\")\nflags.register_validator(\"model\", path.isfile, message=\"missing input model\")\n\ndef convert(model: str, output: str, input_nodes: str, output_nodes: str, input_shape: str):\n    \"\"\"Convert TF ProtoBuf to ONNX model\n\n    Args:\n        model (str): TF ProtoBuf file name\n        output (str): output ONNX model name\n        input_nodes (str): model input names\n        output_nodes (str): model output names\n        [input_shape (str): model input shape, needed if input dimension is not specified in model graph]\n    \"\"\"\n    if input_shape is not None:\n        # match input_shape with input_node and recreate the input_nodes string\n        shapes = []\n        input_shapes = FLAGS.input_shape.split(\";\")\n        input_nodes = input_nodes.split(\",\")\n        new_input_nodes = []\n        for input_node, input_shape in zip(input_nodes, input_shapes):\n            new_input_node = input_node + \"[\" + input_shape + \"]\"\n            new_input_nodes.append(new_input_node)\n        input_nodes = \",\".join(new_input_nodes)\n\n    argv = {\"graphdef\" : model, \n            \"output\" : output,\n            \"inputs\" : input_nodes,\n            \"outputs\" : output_nodes}\n    to_onnx.convert_onnx(**argv)\n\n\ndef _main(_):\n    convert(FLAGS.model, FLAGS.output,FLAGS.input_nodes, FLAGS.output_nodes, FLAGS.input_shape)\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/pb_to_tflite.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nProtoBuf to TFlite\n==================\n\nSee :func:`dlconvert.to_tflite.setup_converter` for more control arguments for `tflite`.\n\nExample\n-------\n\n.. code-block:: bash\n\n    $ python -m aup.dlconvert.pb_to_tflite \\\\\n        --model model.pb --output model.tflite \\\\\n        [--load rep_data] \\\\\n        [--opt default --ops int8 --type int8]\n        [--input_shape 1,224,224,3]\n\n\"\"\"\nfrom os import path\nimport logging\nfrom typing import List\nfrom absl import flags, app\nfrom tensorflow import lite, keras\nimport tensorflow as tf\nfrom .utils import reset_flag\n\nreset_flag()\n\n# pylint: disable=wrong-import-position\nfrom .to_tflite import create_converter\nfrom .spec_utils import pb\n\nlogger = logging.getLogger(__name__) # pylint: disable=invalid-name\n\ntf.compat.v1.disable_eager_execution()\n\nflags.DEFINE_string(\"model\", \"model.pb\", \"input model\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.tflite\", \"output\", short_name=\"o\")\nflags.DEFINE_string(\"input_nodes\", \"input:0\", \"input tensor names\")\nflags.DEFINE_string(\"output_nodes\", \"output/Softmax:0\", \"output tensor names\")\nflags.DEFINE_string(\"input_shape\", None, \"input shape\")\nflags.register_validator(\"model\", path.isfile, message=\"missing input model\")\nFLAGS = flags.FLAGS\n\ndef verify_input_names(input_names, graph_def):\n    \"\"\"Check if input_names are correct\n    \"\"\"\n    graph_nodes = set(pb.search_input_names(graph_def))\n    input_names = set(input_names)\n    if graph_nodes != input_names:\n        logger.fatal(\"Inconsistency in input nodes, graph has the following nodes:\\n%s\", \"\\n\".join(graph_nodes))\n        return False\n    return True\n\ndef verify_output_names(output_names, graph_def):\n    \"\"\"Check if output_names are correct\n    \"\"\"\n    flag = False\n    for n in output_names:\n        if not pb.verify_name(n, graph_def):\n            logger.fatal(\"%s is not found in graph\", n)\n            flag = True\n    if flag:\n        names = pb.search_output_names(graph_def)\n        logger.fatal(\"Potential output names:\\n%s\", \"\\n\".join(names))\n        return False\n    else:\n        return True\n\n\ndef find_node_shape(tensor_name:str, graph_def:tf.compat.v1.GraphDef) -> List[int]:\n    \"\"\"Find node shape for the given tensor name\n    \n    Args:\n        tensor_name (str): name of the tensor\n        graph_def (tf.compat.v1.GraphDef): TF GraphDef\n    \n    Raises:\n        ValueError: When node name is not in the graph\n    \n    Returns:\n        List[int]: tensor shape, excluding first (batch) dimension\n    \"\"\"\n    tensor_name = tensor_name.split(\":\")[0]  # if :x is given\n    shape = None\n    for n in graph_def.node:\n        if tensor_name in n.name:\n            shape = [i.size for i in n.attr['shape'].shape.dim]  \n            break\n    if shape is None:\n        raise ValueError(\"No match node for %s\"%tensor_name)\n    return shape[1:]\n\n\ndef model_loader(filename: str) -> lite.TFLiteConverter:\n    \"\"\"Load TF ProtoBuf (for TF v1 and v2)\n    \n    Args:\n        filename (str): ProtoBuf file name\n    \n    Returns:\n        lite.TFLiteConverter: TFLite converter\n    \"\"\"\n    input_names = FLAGS.input_nodes.split(\",\")\n    output_names = FLAGS.output_nodes.split(\",\")\n\n    # Overwrite default input_shape with user defined input_shape\n    if FLAGS.input_shape is not None:\n        shapes = []\n        input_shapes = FLAGS.input_shape.split(\";\")\n        for input_shape in input_shapes:\n            shape = [int(x) for x in input_shape.split(\",\")]\n            shapes.append(shape)\n\n    if tf.__version__[0] == \"2\":  # pylint: disable=no-member\n        # require frozen pb\n        logger.info(\"Tensorflow version 2.x\")\n        g = tf.Graph()\n        graph_def = pb.load_graphdef(filename)\n        if verify_input_names([i.split(\":\")[0] for i in input_names], graph_def):\n            logger.info(\"Correct input names\")\n        else:\n            raise Exception(\"Wrong input nodes\")\n        if verify_output_names([i.split(\":\")[0] for i in output_names], graph_def):\n            logger.info(\"Correct output names\")\n        else:\n            raise Exception(\"Wrong output nodes\")\n        # get input shapes\n        if not FLAGS.input_shape:\n            shapes = [find_node_shape(name, graph_def) for name in input_names]\n        else:\n            shapes = [shape[1:] for shape in shapes]\n            \n        # import protobuf and create Keras model\n        with g.as_default():\n            inputs = {}\n            for name, shape in zip(input_names, shapes):\n                inputs[name] = keras.layers.Input(shape=shape, name=\"input\")\n            tf.import_graph_def(graph_def, name=\"\", input_map=inputs)\n            tf_outputs = [g.get_tensor_by_name(name) for name in output_names]\n            model = keras.Model(inputs=inputs, outputs=tf_outputs)\n        return lite.TFLiteConverter.from_keras_model(model)\n    else:\n        logger.info(\"Tensorflow version 1.x\")\n        input_names = [i.split(':')[0] for i in input_names]\n        output_names = [i.split(':')[0] for i in output_names]\n        try:\n            tflite_model = lite.TFLiteConverter.from_frozen_graph(filename, input_names, output_names)\n        except Exception as e:\n            graph_def = pb.load_graphdef(filename)\n            if verify_input_names(input_names, graph_def):\n                logger.info(\"Correct input names\")\n            if verify_output_names(output_names, graph_def):\n                logger.info(\"Correct output names\")\n            raise e\n        return tflite_model\n\n\ndef _main(_):\n    logger.setLevel(logging.INFO)\n    converter = create_converter(FLAGS.model, model_loader)\n    tflite_model = converter.convert()\n    with open(FLAGS.output, \"wb\") as f:\n        f.write(tflite_model)\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/pytorch_to_keras.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nPyTorch to Keras\n================\n\nUse https://github.com/nerox8664/pytorch2keras for conversion.\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.pytorch_to_keras -i model.pt -o model.h5 \\\\\n       --input_shape 1,3,224,224 --net net.py --net_name Net\n\n\"\"\"\nimport tf2onnx # to resolve import error of pytorch2keras\nfrom pytorch2keras import pytorch_to_keras\nfrom typing import List\nfrom os import path\nimport torch\nfrom absl import flags, app\nfrom .utils import reset_flag, load_package\n\nFLAGS = flags.FLAGS\nreset_flag()\n\nflags.DEFINE_string(\"model\", \"model.pt\", \"input model\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.h5\", \"output keras model\", short_name=\"o\")\nflags.DEFINE_list(\"input_shape\", \"1,3,224,224\", \"input tensor shape\")\nflags.DEFINE_string(\"net\", \"net.py\", \"network definition file\")\nflags.DEFINE_string(\"net_name\", \"Net\", \"class name of the defined network\")\nflags.register_validator(\"model\", path.isfile, message=\"missing input model\")\nflags.register_validator(\"net\", path.isfile, message=\"missing model definition file\")\n\n\ndef convert(model: str, output: str, input_shape: List[int], net_path, net_name):\n    \"\"\"Convert PyTorch model to Keras model\n    \n    Args:\n        model (str): PyTorch model file path\n        output (str): output file name for Keras model\n        input_shape (List[int]): Tensor shape for input\n        net_path ([type]): Python script defines the model\n        net_name ([type]): PyTorch model class in the `net_path` file.\n    \"\"\"\n    x = torch.randn(*input_shape, requires_grad=True) # pylint: disable=no-member\n    load_package(net_path, net_name)\n    model = torch.load(model)\n    k_model = pytorch_to_keras(model, x, [input_shape[1:]], verbose=False)\n\n    # Export the model\n    k_model.save(output)\n\n\ndef _main(_):\n    input_shape = [int(i) for i in FLAGS.input_shape]\n    convert(FLAGS.model, FLAGS.output, input_shape, FLAGS.net, FLAGS.net_name)\n\n\nif __name__ == \"__main__\":\n    app.run(_main)"
  },
  {
    "path": "src/aup/dlconvert/pytorch_to_onnx.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nPyTorch to ONNX\n================\n\nUse https://github.com/nerox8664/pytorch2keras for conversion.\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.pytorch_to_onnx -i model.pt -o model.onnx \\\\\n       --input_shape 1,3,224,224 --net net.py --net_name Net\n\n\"\"\"\nfrom os import path\nfrom typing import List\nimport torch\nfrom absl import flags, app\nfrom .utils import reset_flag, load_package\n\nFLAGS = flags.FLAGS\nreset_flag()\n\nflags.DEFINE_string(\"model\", \"model.pt\", \"input model\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.onnx\", \"output onnx model\", short_name=\"o\")\nflags.DEFINE_list(\"input_shape\", \"1,3,224,224\", \"input tensor shape\")\nflags.DEFINE_string(\"net\", \"net.py\", \"network definition file\")\nflags.DEFINE_string(\"net_name\", \"Net\", \"class name of the defined network\")\nflags.register_validator(\"model\", path.isfile, message=\"missing input model\")\nflags.register_validator(\"net\", path.isfile, message=\"missing model definition file\")\n\n\ndef convert(model: str, output: str, input_shape: List[int], net_path: str, net_name: str):\n    x = torch.randn(*input_shape) # pylint: disable=no-member\n    load_package(net_path, net_name)\n    model = torch.load(model)\n    print(\"Pytorch model loaded\")\n    _ = model(x)\n    model.eval()\n\n    # Export the model\n    torch.onnx.export(model, x, output,\n                  input_names = ['input'], output_names = ['output'], \n                  do_constant_folding=True   # whether to execute constant folding for optimization\n                  )\n    print(\"Model exported to ONNX\")\n\ndef _main(_):\n    input_shape = [int(i) for i in FLAGS.input_shape]\n    convert(FLAGS.model, FLAGS.output, input_shape, FLAGS.net, FLAGS.net_name)\n\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/pytorch_to_tflite.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nPyTorch to TFLite\n=================\n\nUse https://github.com/nerox8664/pytorch2keras for conversion.\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m dlconvert.pytorch_to_keras -i model.pt -o model.h5 \\\\\n       --input_shape 1,3,224,224 --net net.py --net_name Net\n\n\"\"\"\nimport tf2onnx # to resolve potential import error of pytorch2keras\nfrom pytorch2keras import pytorch_to_keras\nfrom tensorflow import lite, keras, __version__ \nfrom typing import List\nfrom os import path, remove\nimport torch\nfrom absl import flags, app\nfrom .utils import reset_flag\n\nFLAGS = flags.FLAGS\nreset_flag()\n\nfrom .utils import load_package\nfrom .to_tflite import create_converter\n\nflags.DEFINE_string(\"model\", \"model.pt\", \"input model\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.h5\", \"output keras model\", short_name=\"o\")\nflags.DEFINE_list(\"input_shape\", \"1,3,224,224\", \"input tensor shape\")\nflags.DEFINE_string(\"net\", \"net.py\", \"network definition file\")\nflags.DEFINE_string(\"net_name\", \"Net\", \"class name of the defined network\")\nflags.register_validator(\"model\", path.isfile, message=\"missing input model\")\nflags.register_validator(\"net\", path.isfile, message=\"missing model definition file\")\n\ndef model_loader(filename: str) -> lite.TFLiteConverter:\n    \"\"\"TF 1.x and 2.x tflite converter loading function\n\n    Args:\n        filename (str): Keras model file\n\n    Returns:\n        lite.TFLiteConverter: TFLite converter to be used\n    \"\"\"\n    if __version__[0] == \"2\":\n        model = keras.models.load_model(filename)\n        return lite.TFLiteConverter.from_keras_model(model)\n    return lite.TFLiteConverter.from_keras_model_file(filename)\n\ndef convert(model: str, output: str, input_shape: List[int], net_path, net_name):\n    \"\"\"Convert PyTorch model to tfLite model\n    \n    Args:\n        model (str): PyTorch model file path  \n        output (str): output file name for Keras  \n        input_shape (List[int]): Tensor shape for input  \n        net_path ([type]): Python script defines the model  \n        net_name ([type]): PyTorch model class in the `net_path` file.\n    \"\"\"\n    \n    x = torch.randn(*input_shape, requires_grad=True) # pylint: disable=no-member\n    load_package(net_path, net_name)\n    model = torch.load(model)\n    \n    # convert to keras model first\n    # change_ordering experimental, change BCHW to BHWC to enable conversion to tflite\n    k_model = pytorch_to_keras(model, x, [input_shape[1:]], verbose=False, change_ordering = True)\n    k_model.save(\"tmp.h5\")\n\n    # convert to tflite model\n    converter = create_converter(\"tmp.h5\", model_loader)\n    tflite_model = converter.convert()\n    with open(output, \"wb\") as f:\n        f.write(tflite_model) \n    remove(\"tmp.h5\")\n      \n\ndef _main(_):\n    input_shape = [int(i) for i in FLAGS.input_shape]\n    convert(FLAGS.model, FLAGS.output, input_shape, FLAGS.net, FLAGS.net_name)\n\nif __name__ == \"__main__\":\n    app.run(_main)"
  },
  {
    "path": "src/aup/dlconvert/savedmodel_to_onnx.py",
    "content": "#!/usr/bin/env python\n\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nSavedModel to ONNX\n==================\n\n**Not working**\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.savedmodel_to_onnx.py --model savedModel/ --output model.onnx\n\n\"\"\"\nfrom os import path\nfrom absl import flags, app\nfrom .utils import reset_flag\nimport logging\n\nlogger = logging.getLogger(__name__)\nFLAGS = flags.FLAGS\nreset_flag()\nfrom .to_onnx import convert_onnx # pylint: disable=wrong-import-position\n\nflags.DEFINE_string(\"model\", \"saved_model\", \"input savedmodel folder path\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.onnx\", \"output onnx model\", short_name=\"o\")\nflags.DEFINE_string(\"tag\", \"serve\", \"tag to use for saved_model\")\nflags.DEFINE_string(\"signature\", \"serving_default\", \"signature to use from saved_model\")\nflags.DEFINE_string(\"concrete_function\", None, \"For TF2.x saved_model, index of func signature in __call__ (--signature_def is ignored)\")\nflags.register_validator(\"model\", path.isdir, message=\"missing input model\")\n\n\ndef convert(model: str, output: str, tag: str, signature: str, concrete_function: str):\n    \"\"\"Convert TF SavedModel to ONNX (currently only support TF2 and TF2 SavedModels)\n\n    Args:\n        model (str): TF SavedModel folder path\n        output (str): ONNX output filename\n        tag (str, optional): tag to use for SavedModel, default is \"serve\"\n        signature (str, optional): signature to use for SavedModel, default is \"serving_default\"\n        concrete_function (str, optional): index of func signature in __call__ to use instead of signature], default is None\n    \"\"\"\n    if model[-1] != \"/\":\n        model += \"/\"\n    argv = {\"saved-model\" : model, \n            \"output\" : output,\n            \"tag\" : tag,\n            \"signature_def\" : signature}\n    if concrete_function is not None:\n        argv[\"concrete_function\"] = concrete_function\n    \n    convert_onnx(**argv)\n\n\ndef _main(_):\n    convert(FLAGS.model, FLAGS.output, FLAGS.tag, FLAGS.signature, FLAGS.concrete_function)\n\nif __name__ == \"__main__\":\n    app.run(_main)\n"
  },
  {
    "path": "src/aup/dlconvert/savedmodel_to_tflite.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nSavedModel to tflite\n====================\n\n*Based on the version of ops, it may fail.*\n\nExample\n-------\n\n.. code-block:: bash\n\n   $ python -m aup.dlconvert.savedmodel_to_tflite.py --model model/ \\\\\n       --output model_keras.tflite \\\\\n       [--load rep_data] \\\\\n       [--opt default --ops int8 --type int8]\n\n\"\"\"\nfrom os import path, environ\nenviron['TF_CPP_MIN_LOG_LEVEL'] = '3'  #disable tensorflow debugging messages\n\nfrom tensorflow import lite, keras, saved_model\nfrom absl import flags, app\nfrom .utils import reset_flag\n\nimport logging\nimport coloredlogs\nfrom ..utils import LOG_LEVEL\nlogger = logging.getLogger(\"aup.dlconvert\")\n\nFLAGS = flags.FLAGS\nreset_flag()\n\nfrom .to_tflite import create_converter # pylint: disable=wrong-import-position\n\nflags.DEFINE_string(\"model\", \"model\", \"input model path\", short_name=\"i\")\nflags.DEFINE_string(\"output\", \"model.tflite\", \"output\", short_name=\"o\")\nflags.register_validator(\"model\", path.isdir, message=\"missing input model\")\n\n\ndef model_loader(foldername:str) -> lite.TFLiteConverter:\n    \"\"\"Function to load model file into `TFLiteConverter`.\n    \n    Args:\n        foldername (str): file name\n    \n    Returns:\n        lite.TFLiteConverter: TFLiteConverter to create tflite model\n    \"\"\"\n    return lite.TFLiteConverter.from_saved_model(foldername)\n\n\ndef _main(_):\n    # cannot convert savedmodel with empty SignatureMap\n    model = saved_model.load(FLAGS.model)\n    if len(model.signatures) == 0:\n        logger.info(\"Savedmodel cannot be converted with empty signature map! Please check model.signatures before conversion.\")\n        raise ValueError\n\n    converter = create_converter(FLAGS.model, model_loader)\n    tflite_model = converter.convert()\n    with open(FLAGS.output, \"wb\") as f:\n        f.write(tflite_model)\n\nif __name__ == \"__main__\":\n    app.run(_main)\n\n    \n    \n\n"
  },
  {
    "path": "src/aup/dlconvert/spec_utils/__init__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\""
  },
  {
    "path": "src/aup/dlconvert/spec_utils/pb.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nfrom google.protobuf import text_format\nimport tensorflow as tf\nfrom typing import List\n\nCONST_NAME=set([\"Assign\",\"Const\",\"Shape\"])\n\ndef load_graphdef(filename:str) -> tf.compat.v1.GraphDef:\n    if \"pbtxt\" in filename:\n        graph_def = text_format.Parse(open(filename, 'r').read(), tf.compat.v1.GraphDef())\n    else:\n        graph_def = tf.compat.v1.GraphDef()\n        graph_def.ParseFromString(open(filename, 'rb').read()) \n    return graph_def\n\n\ndef verify_name(name: str, graphdef: tf.compat.v1.GraphDef) -> bool:\n    \"\"\"Verify the name is in graph\n    \n    Arguments:\n        name {str} -- node name\n        graphdef {tf.compat.v1.GraphDef} -- TF Graph definition\n    \n    Returns:\n        bool -- Whether node name is in graph\n    \"\"\"\n    for n in graphdef.node:\n        if name == n.name:\n            return True\n    return False    \n\n\ndef search_input_names(graphdef: tf.compat.v1.GraphDef) -> List[str]:\n    \"\"\"Search for input nodes\n    \n    Arguments:\n        graphdef {tf.compat.v1.GraphDef} -- TF Graph definition\n    \n    Returns:\n        List[str] -- List of input node names\n    \"\"\"\n    res = []\n    for n in graphdef.node:\n        if n.op == \"Placeholder\":\n            res.append(n.name)\n    return res\n\n\ndef search_output_names(graphdef: tf.compat.v1.GraphDef) -> List[str]:\n    nodes = set(n.name for n in graphdef.node if n.name.split(\"/\")[-1] not in CONST_NAME)\n    for n in graphdef.node:\n        for input_node in n.input:\n            if input_node in nodes:\n                nodes.remove(input_node)\n    return list(nodes)"
  },
  {
    "path": "src/aup/dlconvert/to_frozen_pb.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nConvert to TF frozen ProtoBuf\n=============================\n\"\"\"\nfrom typing import List\nimport logging\nimport tensorflow.compat.v1 as tf # pylint: disable=import-error\n\ntf.disable_eager_execution()\nlogger = logging.getLogger(__name__) # pylint: disable=invalid-name\n\n\ndef to_frozen(sess: tf.Session, output_nodes: List[str], clear_devices: bool = True) -> tf.GraphDef:\n    \"\"\"Convert to TF frozen ProtoBuf based on current TF session.  \n    See `reference <https://stackoverflow.com/questions/45466020/how-to-export-keras-h5-to-tensorflow-pb>`_.\n\n    Args:\n        sess (tf.Session): TF session contains the compute graph\n        output_nodes (List[str]): list of output node names\n        clear_devices (bool, optional): to clear device placement. Defaults to True.\n\n    Returns:\n        tf.GraphDef: frozen GraphDef to write to ProtoBuf\n    \"\"\"\n    graph = sess.graph\n    for i, output_node in enumerate(output_nodes):\n        if \":\" in output_node:\n            logger.info(\"remove ':x' from tensor name %s\", output_node)\n            output_nodes[i] = output_node.split(\":\")[0]\n    input_graph_def = graph.as_graph_def()\n    if clear_devices:\n        for node in input_graph_def.node:\n            node.device = ''\n    try:\n        frozen_graph = tf.graph_util.convert_variables_to_constants(\n            sess, input_graph_def, output_nodes)\n    except AssertionError as error:\n        logger.fatal('find mis-match graph')\n        raise error\n    return frozen_graph\n"
  },
  {
    "path": "src/aup/dlconvert/to_onnx.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nConvert to ONNX\n===============\n\nBased on tf2onnx version>=1.6.0\nSee `more arguments <https://github.com/onnx/tensorflow-onnx>`_.\n\n\"\"\"\nimport sys\nfrom tf2onnx import convert\nfrom absl import flags\n\nflags.DEFINE_string(\"opset\", \"10\", \"opset version to use for onnx\")\nFLAGS = flags.FLAGS\n\n\ndef convert_onnx(**kwargs):\n    # https://github.com/onnx/tensorflow-onnx\n    # sys.argv = ['checkpoint2onnx.py', \n    #             \"--inputs\", FLAGS.input_nodes,\n    #             \"--outputs\", FLAGS.output_nodes]\n    sys.argv = [\"convert.py\",\n                \"--opset\", FLAGS.opset]\n    # add specific arguments for conversions from different source format\n    for k, v in kwargs.items():\n        sys.argv.extend([\"--%s\" % k, \"%s\" % v])\n    convert.main()\n"
  },
  {
    "path": "src/aup/dlconvert/to_tflite.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nConvert to TFLite\n=================\n\nThere are four major control parameters for tflite runtime, see :func:`.setup_tfconverter`.\n\nThe data feeding function (`data_fun`) is loaded by `--load`, where the argument is the Python filename defining\n`get_data()` to `generate data <https://www.tensorflow.org/lite/performance/post_training_integer_quant#convert_using_quantization>`_ for `int8` quantization. \nCombine with `--undefok` flag to pass more control arguments.\n\n\"\"\"\nimport logging\nfrom os import path, environ\nenviron['TF_CPP_MIN_LOG_LEVEL'] = '3'  #disable tensorflow debugging messages\nfrom typing import Callable\nimport numpy as np\nfrom absl import flags\nfrom tensorflow import lite\n\n\nlogger = logging.getLogger(__name__)  # pylint: disable=invalid-name\n\ntry:\n    from tensorflow import enable_eager_execution  # pylint: disable=no-name-in-module\n\n    enable_eager_execution()\nexcept Exception:  # pylint: disable=broad-except\n    logger.fatal(\"Compatibility issue with TF eager execution. Tweak with caution.\")\n\ntry:\n    from tensorflow.lite.python import lite_constants\nexcept ImportError:\n    from tensorflow.lite import constants as lite_constants\n\nflags.DEFINE_string(\"opt\", \"none\", \"optimization\")\nflags.DEFINE_string(\"type\", \"float\", \"data type after quantization\")\nflags.DEFINE_string(\"ops\", \"tflite\", \"operation set to be used for quantization\")\n# -- optional for representative data\nflags.DEFINE_string(\"load\", \"\", \"use representative data defined in additional python file\", short_name=\"d\")\n\n# when using quantization, OPT_ARGS needs to be set to \"default\"\nOPT_ARGS = {\n    \"default\": [lite.Optimize.DEFAULT],\n    \"none\": [],\n}\nflags.register_validator(\"opt\", lambda x: x in OPT_ARGS, \"Keyword not recognized, choose from %s\" % OPT_ARGS.keys())\n\nOPS_ARGS = {\n    \"int8\": [lite.OpsSet.TFLITE_BUILTINS_INT8],\n    \"tflite\": [lite.OpsSet.TFLITE_BUILTINS],  # default\n    \"tf\": [lite.OpsSet.SELECT_TF_OPS, lite.OpsSet.TFLITE_BUILTINS],\n}\nflags.register_validator(\"ops\", lambda x: x in OPS_ARGS, \"Keyword not recognized, choose from %s\" % OPS_ARGS.keys())\n\nTYPE_ARGS = {\n    \"float\": [lite_constants.FLOAT],  # tf.float32, default\n    \"int8\": [lite_constants.INT8],  # tf.int8\n    \"float16\": [lite_constants.FLOAT16],  # tf.float16 -> tensorflow>=1.15\n    \"uint8\": [lite_constants.QUANTIZED_UINT8],  # tf.uint\n}\nflags.register_validator(\"type\", lambda x: x in TYPE_ARGS, \"Keyword not recognized, choose from %s\" % TYPE_ARGS.keys())\nFLAGS = flags.FLAGS\n\n\ndef setup_tfconverter(\n    converter: lite.TFLiteConverter, dtype: str, opt: str, ops: str, data_fun: Callable = None\n) -> lite.TFLiteConverter:\n    \"\"\"Setup control arguments for `TFLiteConverter <https://www.tensorflow.org/lite/convert>`_\n    \n    Args:\n        converter (lite.TFLiteConverter): loaded `TFLiteConverter`.\n        dtype (str): data types: `float`, `float16`, `int8`, `uint8`.\n        opt (str): optimization: `none` for `float`, `default` for ther data types.\n        ops (str): operation sets: `tflite`, `tf`, `int8`.\n        data_fun (Callable, optional): [description]. Defaults to None.\n    \n    Returns:\n        lite.TFLiteConverter: `TFLiteConverter` with additional arguments set up.\n    \"\"\"\n\n    if data_fun:\n        converter.representative_dataset = data_fun\n    converter.optimizations = OPT_ARGS[opt]\n    converter.target_spec.supported_ops = OPS_ARGS[ops]\n    converter.target_spec.supported_types = TYPE_ARGS[dtype]\n    return converter\n\n\ndef create_converter(model: str, model_loader: Callable[[str], lite.TFLiteConverter]) -> lite.TFLiteConverter:\n    \"\"\"Setup the TFLite converter\n\n    Args:\n        model (str): model filename\n        model_loader (Callable[[str], lite.TFLiteConverter]): function to load model file and return a `TFLiteConverter`\n\n    Returns:\n        lite.TFLiteConverter: `TFLiteConverter` with additional arguments set up.\n\n    \"\"\"\n    if FLAGS.type != \"float\":\n        assert FLAGS.opt != \"none\", \"--opt=default is required for quantization.\"\n    else:\n        assert FLAGS.opt == \"none\", \"--opt=none is required for float32 operation.\"\n\n    converter = model_loader(model)\n    if FLAGS.load:\n        try:\n            import sys, importlib\n\n            sys.path.insert(0, path.dirname(path.abspath(FLAGS.load)))\n            mod = path.basename(FLAGS.load).rstrip(\".py\")\n            mod = importlib.import_module(mod)\n            get_dataset = getattr(mod, \"get_dataset\")\n        except Exception as error:  # pragma: no cover\n            logger.fatal(\"Failed to import get_dataset from %s.py\", FLAGS.load)\n            raise error\n        data = get_dataset()\n\n        def data_gen():\n            for i in data:\n                yield [i[0].numpy().astype(np.float32)]\n\n    else:\n        data_gen = None\n    return setup_tfconverter(converter, FLAGS.type, FLAGS.opt, FLAGS.ops, data_gen)\n"
  },
  {
    "path": "src/aup/dlconvert/utils.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\n\"\"\"\nimport sys, importlib\nfrom os import path\nfrom typing import Callable\n\nKNOWN_FLAGS=[\"logtostderr\",\"alsologtostderr\", \"log_dir\", \"v\", \"verbosity\", \"stderrthreshold\", \"showprefixforinfo\", \\\n    \"run_with_pdb\", \"pdb_post_mortem\", \"run_with_profiling\", \"profile_file\", \"use_cprofile_for_profiling\", \\\n    \"only_check_args\", \"help\", \"helpshort\", \"helpfull\", \"helpxml\", \"logger_levels\"]\n\n\ndef load_package(filename: str, function: Callable) -> Callable:\n    \"\"\"Load a function/class from a script \"filename\"\n    \"\"\"\n    sys.path.insert(0, path.dirname(path.abspath(filename)))\n    mod = path.basename(filename).rstrip(\".py\")\n    mod = importlib.import_module(mod)\n    return getattr(mod, function)\n\n\ndef reset_flag():\n    \"\"\"Reset absl.flags\n    \"\"\"\n    from absl import flags\n    FLAGS = flags.FLAGS # pylint: disable=invalid-name\n    for name in list(FLAGS):\n        if name not in KNOWN_FLAGS:\n            delattr(FLAGS, name)\n"
  },
  {
    "path": "src/aup/init.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nInitialize experiment\n=====================\n\nSee :doc:`algorithm` for how to initialize the experiment search strategy.\n\nAdditional arguments\n--------------------\n\n.. program-output:: python3 -m aup.init -h\n\n\"\"\"\nimport importlib\nimport json\nimport logging\nimport os\nfrom collections import defaultdict\n\nimport click\nimport coloredlogs\nfrom six.moves import input\n\nfrom .Proposer import PROPOSERS\nfrom .utils import LOG_LEVEL, get_default_connector, DEFAULT_AUPTIMIZER_PATH, get_from_options\n\nlogger = logging.getLogger(\"aup.init\")\n\n\ndef _set_script(default=\"\"):\n    script = input(\"training script name [%s]:\" % default) or default\n    if not os.path.isfile(script):\n        logger.critical(\"File %s doesn't exist, create it before experiment\" % script)\n        if not os.access(script, os.X_OK):\n            logger.fatal(\"File is not self-executable, please do `chmod u+x %s`!\" % script)\n    return script\n\n\ndef _set_proposer(default=\"\"):\n    default = default or \"random\"\n    config = dict()\n    config[\"proposer\"] = get_from_options(\"proposer\", PROPOSERS.keys(), default=default)\n    proposer = PROPOSERS[config['proposer']]\n    mod = importlib.import_module(\".\" + proposer, \"aup.Proposer\")\n    cls = getattr(mod, proposer)\n    config.update(cls.setup_config())\n    return config\n\n\ndef _set_parallel(resource, cursor, default=1):\n    cursor.execute(\"SELECT COUNT(*) FROM resource WHERE type=?;\", (resource,))\n    nparallel = cursor.fetchone()[0]\n    val = [i for i in range(1, nparallel + 1)]\n    nparallel = get_from_options(\"Number of parallel execution on %s, up to %d\" %\n                                 (resource, nparallel), val, default=default)\n\n    return nparallel\n\n\ndef _get_workingdir(res, default=\"\"):\n    if res in ('node', 'aws'):\n        cwd = input(\"working path on remote machine [%s]:\" % default) or default\n        if not cwd:\n            logger.fatal(\"No path specified, exit!\")\n            exit(1)\n    else:\n        cwd = default or os.getcwd()\n        cwd = input(\"working path, [default:%s]:\" % cwd) or cwd\n    return cwd\n\n\ndef _update(config, name, func, *args, **kwargs):\n    if config[name] == \"\":\n        config[name] = func(*args, **kwargs)\n    else:\n        config[name] = func(*args, default=config[name], **kwargs)\n    return config\n\n\n@click.command(name=\"Initialize experiment\",\n               context_settings=dict(help_option_names=['-h', '--help']))\n@click.option(\"--exp\", \"-e\", default=\"experiment.json\", help=\"Experiment configuration file (experiment.json)\")\n@click.option(\"--aup\", \"-c\", default=DEFAULT_AUPTIMIZER_PATH, help=\"Auptimizer Folder path\")\n@click.option(\"--log\", \"-l\", default=\"info\", type=click.Choice(LOG_LEVEL.keys()), help=\"Log level\")\n@click.option(\"--overwrite/--no-overwrite\", \"-o/-no\", default=False, help=\"overwrite existing file\")\n@click.option(\"--reload/--no-reload\", default=False, help=\"reload existing experiment configuration\")\ndef main(exp, aup, log, overwrite, reload):\n    \"\"\"Initialize experiment configuration for HPO\n    \\b\\n\n    Copyright (C) 2018  LG Electronics Inc.\n    \\b\\n\n    GPL-3.0 License. This program comes with ABSOLUTELY NO WARRANTY;\n    \\b\\n\n    Raises:\n        Exception: If Auptimizer environment is not found.\n    \"\"\"\n    coloredlogs.install(level=LOG_LEVEL[log], fmt=\"%(name)s - %(levelname)s - %(message)s\")\n\n    if os.path.isfile(exp) and not overwrite and not reload:\n        logger.fatal(\"%s exists! Overwrite (-o) or change experiment name (-e)!\", exp)\n        exit(1)\n\n    try:\n        conn = get_default_connector(auppath=aup)\n    except Exception as e:\n        logger.fatal(\"Failed to get environment file, check aup.setup process\")\n        raise e\n\n    config = defaultdict(str)\n    if reload:\n        with open(exp, 'r') as f:\n            config.update(json.load(f))\n    try:\n        print(\"Hit ENTER to use the default value in brackets.\")\n        exp = input(\"Experiment configuration to be created [%s]:\" % exp) or exp\n        config = _update(config, 'script', _set_script)\n        res = conn.get_resource_type()\n        config = _update(config, 'resource', get_from_options, \"computing resource for experiment\", res)\n        config = _update(config, 'n_parallel', _set_parallel, config[\"resource\"], conn.cursor)\n        config = _update(config, 'target', get_from_options, \"max/min the score\", ('max', 'min'))\n        config = _update(config, 'workingdir', _get_workingdir, config[\"resource\"])\n\n        config.update(_set_proposer(default=config['proposer']))\n    except KeyboardInterrupt:\n        logger.info(\"Terminated by user\")\n    except Exception as e:\n        logger.fatal(\"Failed to initialize experiment configuration\")\n        raise e\n    finally:\n        logger.info(\"Write experiment config to %s\", exp)\n        with open(exp, 'w') as f:\n            json.dump(config, f, indent=2)\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/profiler/README.md",
    "content": "# Profiler\n**Profiler is a simulator for profiling performance of Machine Learning (ML) model scripts.** Given compute- and memory resource constraints for a CPU-based Edge device, Profiler can provide estimates of compute- and memory usage for model scripts on the device. These estimations can be used to choose best performing models or, in certain cases, to predict how much compute and memory models will use on the target device.\nBecause Profiler mimics the target device environment on the user's development machine, the user can gain insights about the performance and resource needs of a model script without having to deploy it on the target device.\n\nCurrently, Profiler can be used to:\n\n1.  **Select the most efficient model for your target deployment.** With Profiler, you can compare how different models will perform under specific compute and memory constraints. Our studies show that the ranking of models based on runtime or memory use under Profiler mirrors the ranking on a device with the same constraints.\n\n2.  **Make model script performance and resource requirements at the Edge more transparent.** Use Profiler to estimate model script's runtime or memory usage on a device. For similar classes of models (such as different versions of MobileNet or ShuffleNet), there is a straight line fit between model performance under Profiler and on the target device. Once you run two or three models on the device, you can use the results to find that straight line and predict a new model's performance with Profiler.\n\n3.  **Foster lean ML model deployment at the Edge.** By using Profiler, you can assess model-device compatibility and select the most suitable model for your needs without the hustle of going through multiple physical deployment cycles.\n\n\n# How Profiler Works  \n\n  1. **Simulates Device Constraints.** Profiler allows developers to simulate different **compute** and **memory**\n      constraints for the execution of the application. This is especially useful for ML model deployment,\n      where testing on different edge devices can be tedious and require actual deployment to individual devices to ensure \n      resource constraints are satisfied. Profiler can help easily *approximate* these constraints on a single host\n      device. \n\n  2.   **Provides Container Support.** Profiler encapsulates the application, its requirements, and corresponding data\n      into a Docker container. It uses user inputs to build a corresponding Docker Image so the application can run\n      independently and without external dependencies. It can then easily be scaled and ported to ease future\n      development and deployment. Profiler also removes the need for a developer to acquaint themselves with internal\n      workings of Docker.\n  \n  3.  **Logs Resource Utilization.** Profiler also tracks and records various resource utilization statistics of the\n      application for debugging purposes. It currently tracks Average CPU Utilization, Memory Usage, and Block I/O. The logger\n      also supports setting the `Sample Time` to control how frequently Profiler samples utilization statistics from\n      the Docker container.\n\n\n  We have conducted over 300 experiments across multiple models, devices, and compute settings. Full results are available [here](../../../Examples/profiler_examples/experiments).\n    \n\n# How to Use Profiler\n\n## Installation and Requirements\n\nProfiler is automatically installed as part of Auptimizer, further requiring only Docker installation. Please refer to [Docker installation](https://docs.docker.com/install/) on how to install Docker on your system.\n\n\n## Using Profiler\n\nUsing Profiler is simple and requires only a few steps. Once Docker and Auptimizer are installed, all you need to do is:\n1. Ensure that the prerequisites below are met\n2. Set up the Profiler user variables in `env.template`\n3. Have a script that will train or perform inference on your model\n4. run `python -m aup.profiler` on your model file(s) (multiple models can be provided as a comma-separated list using the `-m` or `--modellist` flags or as in a txt file using the `-f` or `--modelfile` flags)\n\n**Profiler flags:**\n1.  -e or --environment : path to the environment file.\n2.  -f or --modelfile  : path to the text file containing different model names on new lines.\n3.  -m or --modellist  : list of model names as comma(',') separated string (no spaces).\n\n### Prerequisites \n\nThe following prerequisites help to simplify the profiling procedure.  Experienced users should feel free to modify it as needed.\n\n+ Consolidate your project into a single directory, such that the primary application can run without any internal\n  dependencies (the data itself can be in a separate location).\n+ Consolidate your application into a single entry point for execution. Use a wrapper file if needed. This single point of entry is needed because Profiler will\n  execute one command to run a single application file. The application can accept different models as input.\n\n### Set Up Profiler User Variables \n\nProfiler can accept two arguments as inputs - the environment file (necessary) and model name list or file (optional).\nRefer to `env_mnist.template` and `env_benchmark.template` for examples.\n\nCreate `env.template`, and add the following variables as needed:\n\n  1.  `IMAGEREPO` - **REQUIRED** Enter the name of base Docker repository to use. Refer to https://hub.docker.com/ for\n      public repositories. Your base image could be anything from `tensorflow:1.3.0`, `python3`, `ubuntu` etc.\n\n  2.  `APTREQUIREMENTS` - **OPTIONAL** Enter all linux packages required to run the application as a space-separated\n      string.  For example \"curl vim\". These packages will be installed using the command `apt-get install` so ensure the packages are supported. This variable can also be left empty (using \"\").\n\n  3.  `PIPREQUIREMENTS` - **OPTIONAL** Enter all python libraries required to run the application as a space-separated\n      string. For example \"ipython numpy\". These packages will be installed using the command `pip install`, so ensure the libraries are supported. This variable can also be left empty (using “”).\n      \n  4.  `PRERUN` - **OPTIONAL** Enter commands to execute before running the application. `PRERUN` can be used to install any libraries that cannot be installed through `APTREQUIREMENTS` or  `PIPREQUIREMENTS`. For example, if you need a different version of a library than what is available through pip, you can use PRERUN to install it. See `env_benchmark.template` for an example.\n\n  5.  `DIR` - **REQUIRED** Enter the local path to the users consolidated directory containing the application. This\n      directory will be copied over to the Docker container.\n\n  6.  `SCRIPT` - **REQUIRED** The name of the primary application file, along with the path relative to the\n      aforementioned `DIR`. This allows the container to find and execute the application file.\n\n  7.  `COMMAND` - **REQUIRED** The command used to execute the aforementioned script. For example `python`.\n\n  8.  `SAMPLETIME` - **REQUIRED** The wait period in seconds, when Profiler will query the Docker for resource\n      utilization. Avoid using time periods smaller than 3 seconds since Profiler internally uses the `docker stats`\n      command which takes approximately 3 seconds to finish. User can use decimal points. \n\n  9.  `OUTPUTFILE` - **REQUIRED** The name of the file which will contain all the resource utilization logs with\n      timestamps. \n\n  10.  `DOCFILE` - **REQUIRED**  The name of a user-defined Dockerfile, path relative to Profiler directory. This\n       command will supersede all previous variables and build the Docker image from the `DOCFILE`. The user should only\n       use this variable if they have already tested their Dockerfile with the application to make sure they are\n       compatible.  \n\n  11. `DOCKCPUS` - **OPTIONAL** The amount of CPU processing compute power allowed to the application. Must be real\n      number. Can be a floating point decimal. For example “2.5”. Refer to\n      https://docs.docker.com/config/containers/resource_constraints/. Can be empty - no CPU constraint.\n\n  12.  `DOCKMEMORY` - **OPTIONAL** The amount of memory allowed to the application. Must be a positive integer, followed\n       by a suffix of b, k, m, g, to indicate bytes, kilobytes, megabytes, or gigabytes . For example “156m”. Refer to\n       https://docs.docker.com/config/containers/resource_constraints/. Can be empty - no memory constraint.\n\n  13. `DOCK_ARGS` - **OPTIONAL** Additional Docker-related arguments are added here.  For instance, to allow Docker to run the container with the Privileged tag, use `--privileged`. Refer to https://docs.docker.com/engine/reference/run/#runtime-privilege-and-linux-capabilities. To use volume to mount additional folder (e.g. data folder), use `-v /path/in/source:/path/in/destination`\n\nIf your primary application needs external model weight files as arguments, you can further provide a list of the names of model weight files. \nThis list can be provided as a list of comma(',') separated strings of the model names or a text file with strings of the model names, each on a new line.\n\n\n## Interpreting Results\n\nA summary of each Profiler run can be found in `out.txt` (the filename can be user-specified using the `OUTPUTFILE` argument in the environment file). \n\nThe individual model `OUTPUTFILE`s contain the raw values of different metrics profiled at distinct `SAMPLETIME` intervals using `docker stats` as a subroutine (https://docs.docker.com/engine/reference/commandline/stats/)\n\nEach row contains the following values:\n1. Name - name of the Docker container\n2. CPU % - the instantaneous CPU utilization (https://docs.docker.com/config/containers/resource_constraints/).\n3. MEM USAGE / LIMIT - the instantaneous memory utilization and corresponding limit (https://docs.docker.com/config/containers/resource_constraints/).\n4. NET I/O - refers to network input/output, the total amount of data the container has sent and received (https://docs.docker.com/engine/reference/commandline/stats/).\n5. BLOCK I/O - refers to the amount of data the container has read to and written from block devices (this could be memory external to the container or to actual HDD use) on the host (https://docs.docker.com/engine/reference/commandline/stats/).\n6. TIME - the current timestamp of the measurement.\n\nThe Usage Stats table shows the average utilization over the container's lifetime for the aforementioned CPU % and MEM USAGE / LIMIT. \nFor NET I/O and BLOCK I/O the total input/output data metrics are returned, instead of the average statistics.\n\nThe final usage stats from each run of Profiler is appended to `OUTPUTFILE` and provides a quick overview of the result of running Profiler multiple times. \n\n\n## Some Caveats \n\nSee [issues](issues.md) for known issues and solutions.\n\n\n# Examples \n\nWe present some examples on how to use profiler in [Profiler Examples](../../../Examples/profiler_examples) folder. This folder also contains the environment files used in the following two examples.\n\n## TensorFlow Lite Inference Benchmarking\n\n\nTo use Profiler on TensorFlow Lite for image classification, an example of Inference Benchmarking is located in the [benchmark](../../../Examples/profiler_examples/bench) folder.\n\n1. [Optional]  Use the bench/download.sh script (wget must be installed on your system) to download mobilenet_v1_0.75_224 and mobilenet_v1_1.0_224 (Alternatively, you can download a different set of TensorFlow Lite models from (https://www.tensorflow.org/lite/guide/hosted_models) and save them in [benchmark](../../../Examples/profiler_examples/bench) folder.)\n   \n2. If needed, change arguments in `env_benchmark.template`.\n\n3. Run `python -m aup.profiler -e env_benchmark.template -m mobilenet_v1_0.75_224.tflite,mobilenet_v1_1.0_224.tflite`.\n\nThis will create Docker images `mobilenet_v1_0.75_224_img` and `mobilenet_v1_1.0_224_img` and  corresponding Docker containers `mobilenet_v1_0.75_224_con` and `mobilenet_v1_1.0_224_con`. It will execute\n`test_perf.py` within these containers using the `Docker Volume` command to run inference on the specified models. Once execution finishes, Profiler will output the following statistics: \n\n```\nFinal Usage Stats\nNAME                   AVG CPU %      PEAK CPU  AVG MEM USAGE / LIMIT    PEAK MEM    NET I/O          BLOCK I/O        TOTAL TIME (ms)\n---------------------  -----------  ----------  -----------------------  ----------  ---------------  -------------  -----------------\nmobilenet_v1_0.75_224  225.09%          226.68  117.9 MiB / 1.9 GiB      117.9 MiB   742.0 B / 0.0 B  0.0 B / 0.0 B               6164\nmobilenet_v1_1.0_224   244.258%         250.83  122.4 MiB / 1.9 GiB      126.9 MiB   766.0 B / 0.0 B  0.0 B / 0.0 B              12354\n```\n\nThe results from each timestamp and each individual model are saved in `model_name`+`out.txt` (can be user-defined via `OUTPUTFILE` in `env_benchmark.template`).\nAdditionally, a general summary is provided in `out.txt` containing the final stats for all the tested models. \n\n\n## MNIST Training Benchmarking\n\nYou can also use Profiler to profile training. MNIST classification example can be found in the [mnist](../../../Examples/profiler_examples/mnist) folder.\n\n1. [Optional] Download the MNIST dataset from (http://yann.lecun.com/exdb/mnist/). Add the `.gz` files to the data\n   folder. Then open `env_mnist.template` file and edit the `DOCKER_ARGS` option with the absolute path to the `data` folder\n   as `-v /data/:/mnist_data`.\n   \n2. Change other arguments in the `env_mnist.template` if you want.\n\n3. Run `python -m aup.profiler -e env_mnist.template`.\n\n\nThis will create a Docker Image named `test_image`, and a corresponding Docker Container `test_container`. It will execute\n`mnist.py` within the container using Docker Volume command to load the data. Once the execution finishes, the Profiler\nwill output the following statistics: \n\n```\nFinal Usage Stats\nNAME            AVG CPU %      PEAK CPU  AVG MEM USAGE / LIMIT    PEAK MEM    NET I/O              BLOCK I/O        TOTAL TIME (ms)\n--------------  -----------  ----------  -----------------------  ----------  -------------------  -------------  -----------------\ntest_container  316.532%         337.98  502.3 MiB / 1.9 GiB      537.0 MiB   12.0 MiB / 151.4 kB  0.0 B / 0.0 B             220842\n```\n\nThe results from each timestamp are saved in `out.txt` (set via `OUTPUTFILE` in `env_mnist.template`).\n"
  },
  {
    "path": "src/aup/profiler/__init__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2020 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\""
  },
  {
    "path": "src/aup/profiler/__main__.py",
    "content": "\n\n\"\"\"\n..\n  Copyright (c) 2020 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nProfiler main entry\n=====================\n\n:mod:`aup.profiler.__main__` is the Profiler main entry point.\n\nUse it as::\n\n  python -m aup.profiler -e <experiment configuration> -m <model list>\n\nThe usage is detailed in :doc:`profiler`.\n\n\"\"\"\n\n\n\n# python wrapper for profiler.sh. This wrapper allows profiler to be installed using pip install.\n\nimport argparse\nimport sys\nimport os\n\ndef main():\n    \n    # read in the arguments\n    # environment file is required\n    # either modelfile or modellist can be present but not both. If neither, then the environment file should contain info on the script.\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"-e\", \"--environment\", help=\"The environment file that contains all the information on what and how to profile.\")\n    group = parser.add_mutually_exclusive_group()\n    group.add_argument(\"-f\", \"--modelfile\", help=\"A file containing the list of models to profile. Use only -m or -f but not both.\")\n    group.add_argument(\"-m\", \"--modellist\", help=\"comma separated list of models to profile. Use only -m or -f but not both.\")\n    args = parser.parse_args()\n\n    if not args.environment:\n        print(\"Profiler needs an environment file. Please see documentation for more information.\")\n        print(\"Exiting.\")\n        sys.exit(2)\n    \n    script_flags = \" -e \"+args.environment\n\n    if args.modellist:\n        script_flags += \" -m \"+args.modellist\n    elif args.modelfile:\n        script_flags += \" -f \"+args.modelfile\n    else:\n        print(\"**Warning**: If modellist or modelfile not provided, environment file should have script info. Please see documentation for more information.\")\n    \n    script_command = 'profiler.sh' + script_flags \n\n    # run script command\n    os.system(script_command)\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/profiler/calculate.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\naup.profiler.calculate module\n=================\n\nParse profiling results obtained using :mod:`aup.profiler`.\n\nAPIs\n----\n\"\"\"\nimport sys\nfrom tabulate import tabulate\n\n#################################################\n# see: http://goo.gl/kTQMs\nSYMBOLS = {\n    'customary'     : ('B', 'K', 'M', 'G', 'T', 'P', 'E', 'Z', 'Y'),\n    'customary_ext' : ('byte', 'kilo', 'mega', 'giga', 'tera', 'peta', 'exa',\n                       'zetta', 'iotta'),\n    'non_standard'  : ('B', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB'),\n    'iec'           : ('Bi', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi', 'Yi'),\n    'doc'           : ('B', 'kB', 'MiB', 'GiB', 'TiB', 'PiB', 'EiB', 'ZiB', 'YiB'),\n    'iec_ext'       : ('byte', 'kibi', 'mebi', 'gibi', 'tebi', 'pebi', 'exbi',\n                       'zebi', 'yobi'),\n}\n\ndef bytes2human(n, format='%(value).1f %(symbol)s', symbols='customary'):\n    \"\"\"\n    Convert n bytes into a human readable string based on format.\n    symbols can be either \"customary\", \"customary_ext\", \"iec\" or \"iec_ext\",\n    see: http://goo.gl/kTQMs\n\n      >>> bytes2human(0)\n      '0.0 B'\n      >>> bytes2human(0.9)\n      '0.0 B'\n      >>> bytes2human(1)\n      '1.0 B'\n      >>> bytes2human(1.9)\n      '1.0 B'\n      >>> bytes2human(1024)\n      '1.0 K'\n      >>> bytes2human(1048576)\n      '1.0 M'\n      >>> bytes2human(1099511627776127398123789121)\n      '909.5 Y'\n\n      >>> bytes2human(9856, symbols=\"customary\")\n      '9.6 K'\n      >>> bytes2human(9856, symbols=\"customary_ext\")\n      '9.6 kilo'\n      >>> bytes2human(9856, symbols=\"iec\")\n      '9.6 Ki'\n      >>> bytes2human(9856, symbols=\"iec_ext\")\n      '9.6 kibi'\n\n      >>> bytes2human(10000, \"%(value).1f %(symbol)s/sec\")\n      '9.8 K/sec'\n\n      >>> # precision can be adjusted by playing with %f operator\n      >>> bytes2human(10000, format=\"%(value).5f %(symbol)s\")\n      '9.76562 K'\n    \"\"\"\n    n = int(n)\n    if n < 0:\n        raise ValueError(\"n < 0\")\n    symbols = SYMBOLS[symbols]\n    prefix = {}\n    for i, s in enumerate(symbols[1:]):\n        prefix[s] = 1 << (i+1)*10\n    for symbol in reversed(symbols[1:]):\n        if n >= prefix[symbol]:\n            value = float(n) / prefix[symbol]\n            return format % locals()\n    return format % dict(symbol=symbols[0], value=n)\n\ndef human2bytes(s):\n    \"\"\"\n    Attempts to guess the string format based on default symbols\n    set and return the corresponding bytes as an integer.\n    When unable to recognize the format ValueError is raised.\n\n      >>> human2bytes('0 B')\n      0\n      >>> human2bytes('1 K')\n      1024\n      >>> human2bytes('1 M')\n      1048576\n      >>> human2bytes('1 Gi')\n      1073741824\n      >>> human2bytes('1 tera')\n      1099511627776\n\n      >>> human2bytes('0.5kilo')\n      512\n      >>> human2bytes('0.1  byte')\n      0\n      >>> human2bytes('1 k')  # k is an alias for K\n      1024\n      >>> human2bytes('12 foo')\n      Traceback (most recent call last):\n          ...\n      ValueError: can't interpret '12 foo'\n    \"\"\"\n    init = s\n    num = \"\"\n    while s and s[0:1].isdigit() or s[0:1] == '.':\n        num += s[0]\n        s = s[1:]\n    num = float(num)\n    letter = s.strip()\n    for name, sset in SYMBOLS.items():\n        if letter in sset:\n            break\n    else:\n        if letter == 'k':\n            # treat 'k' as an alias for 'K' as per: http://goo.gl/kTQMs\n            sset = SYMBOLS['customary']\n            letter = letter.upper()\n        else:\n            raise ValueError(\"can't interpret %r\" % init)\n    prefix = {sset[0]:1}\n    for i, s in enumerate(sset[1:]):\n        prefix[s] = 1 << (i+1)*10\n    return int(num * prefix[letter])\n##########################################\n\ndef getUsageStats(filename):\n    \"\"\"\n    Function that takes an input file generated from \n    statscript.sh with usage stats sampled over certain \n    timestamps, and calculates peak and average values \n    of different parameters such as compute and memory.\n    It uses tabulate library to form the table to display \n    the final stats\n    \"\"\"\n    \n    fp = open(filename, \"r+\")\n    oline = fp.readline()\n\n    acpu=0\n    amem=0\n    amemlim=0\n    aneti=0\n    aneto=0\n    ablocki=0\n    ablocko=0\n    count=0\n    mmem=0\n    mcpu=0\n    starttime = 0\n    endtime=0\n    name=\"\"\n    \n    zero_error=0\n    basic_error=0\n\n    line = fp.readline()\n    while (line):\n        #print (line)\n        try:\n            line1 = line[:-1].split(\" \")\n            if(line1[2]=='--'):\n                break\n            cpu = float(line1[2][:-1])\n            mem = human2bytes(line1[4])\n            memlim = human2bytes(line1[6])\n            neti = human2bytes(line1[8])\n            neto = human2bytes(line1[10])\n            blocki = human2bytes(line1[12])\n            blocko = human2bytes(line1[14])\n            name = line1[0]\n            if starttime==0:\n                starttime = int(line1[16])\n            endtime = int(line1[16])\n\n            if(cpu == 0.0 and mem == 0):\n                zero_error=1\n                break\n            count+=1\n            acpu = acpu + ((cpu - acpu)/count)\n            amem = amem + ((mem - amem)/count)\n            amemlim = amemlim + ((memlim - amemlim)/count)\n            mcpu = max(mcpu, cpu)\n            mmem = max(mmem, mem)\n            aneti = aneti + ((neti - aneti)/count)\n            aneto = aneto + ((neto - aneto)/count)\n            ablocki = ablocki + ((blocki - ablocki)/count)\n            ablocko = ablocko + ((blocko - ablocko)/count)\n\n        except:\n            basic_error=1\n\n        line = fp.readline()\n        \n    if zero_error:\n        fp.write(\"\\nEncountered time stamps with 0 CPU and 0 Mem, process has probabaly finished; Hence discarding the timestamp.\")\n    #if basic_error:\n        #fp.write(\"\\nAn error occurred when processing this file\")\n        \n    if count==0:\n        fp.write(\"Profiler could not sample usage stats for the experiment because the sample time is too long compared to the runtime of the experiment or the experiment is too fast and finishes before sampling could start.\")\n\n    fp.write(\"\\nUsage Stats: \")\n    print(\"\\nUsage Stats: \")\n\n    h = [\"NAME\",\"AVG CPU %\",\"PEAK CPU\",\"AVG MEM USAGE / LIMIT\",\"PEAK MEM\",\"NET I/O\",\"BLOCK I/O\",\"TOTAL TIME (ms)\"]\n\n    p=[name, str(round(acpu,3))+\"%\", str(round(mcpu,3)), str(bytes2human(amem, symbols=\"doc\")) + \" / \" + str(bytes2human(amemlim, symbols=\"doc\")), str(bytes2human(mmem, symbols=\"doc\")), str(bytes2human(aneti, symbols=\"doc\")) + \" / \" + str(bytes2human(aneto, symbols=\"doc\")), str(bytes2human(ablocki, symbols=\"doc\")) + \" / \" + str(bytes2human(ablocko, symbols=\"doc\")), str(endtime-starttime)]\n    fp.write(\"\\n\")\n    fp.write(tabulate([p], headers=h))\n    print(tabulate([p], headers=h))\n\n    fp.write(\"\\nRefer to the documentation on how to interpret the results.\")\n    print(\"Refer to the documentation on how to interpret the results.\")\n    print(\"\\n\")\n    fp.close()\n    return (p,h)\n\nif __name__ == \"__main__\":\n    filename = sys.argv[1]\n    getUsageStats(filename)\n\n"
  },
  {
    "path": "src/aup/profiler/compile_stats.py",
    "content": "#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\nfrom aup.profiler import calculate\nimport sys\nfrom tabulate import tabulate\nfrom datetime import datetime\nfrom os import path\n\n\n\"\"\"\nThis function iterates over individual model outputs from statscript\nand uses 'getUsageStats' from calculate.py to collect usage stats\nand displays them together as table.\n\"\"\"\ndef compile_results(env_file,model_names):\n    today = datetime.now()\n    f=open(env_file)\n    line=f.readline()\n    \n    while line:\n        if \"OUTPUTFILE=\" in line:\n            output_file = line.split(\"=\")[1][:-1]\n            break\n        line=f.readline()\n        \n    # handles the case for model text files.    \n    if '.txt' in model_names:\n        f=open(model_names)\n        line = f.readline()\n        results = []\n        while line:\n            if line[-1]=='\\n':\n                line=line[:-1]\n            filename=line.split(\"/\")[-1]\n            filename=filename[:filename.rfind('.')]\n            out=filename + \"_\" + output_file\n            if not path.isfile(out):\n                return \n            useStats = calculate.getUsageStats(out)\n            stats = useStats[0]\n            stats[0]=filename\n            results.append(stats)\n            headers = useStats[1]\n            line = f.readline()\n\n        fp=open(output_file,\"a+\")\n        fp.write(\"Usage stats for Experiment ran on : \"+ str(today))\n        fp.write(\"\\n\")\n        fp.write(tabulate(results, headers=headers))\n        fp.write(\"\\n\")\n        fp.write(\"\\n\")\n        fp.close()\n        print(\"Final Usage Stats\")\n        print(tabulate(results, headers=headers))\n        \n    #handles the case for model lists.\n    else:\n        f=model_names.split(',')\n        results = []\n        for model in f:\n            filename=model.split(\"/\")[-1]\n            filename=filename[:filename.rfind('.')]\n            out=filename + \"_\" + output_file\n            if not path.isfile(out):\n                return \n            useStats = calculate.getUsageStats(out)\n            stats = useStats[0]\n            stats[0]=filename\n            results.append(stats)\n            headers = useStats[1]\n\n        fp=open(output_file,\"a+\")\n        fp.write(\"Usage stats for Experiment ran on : \"+ str(today))\n        fp.write(\"\\n\")\n        fp.write(tabulate(results, headers=headers))\n        fp.write(\"\\n\")\n        fp.write(\"\\n\")\n        fp.close()\n        print(\"Final Usage Stats\")\n        print(tabulate(results, headers=headers))\n\nif __name__ == \"__main__\":\n    env_file=sys.argv[1]\n    model_names=sys.argv[2]\n    compile_results(env_file,model_names)"
  },
  {
    "path": "src/aup/profiler/issues.md",
    "content": "# Known issues\n\n+ Remove any dangling Dockerfiles in the working directory before executing Profiler as they might interfere.\n \n+ Once Docker has started running, if you hit Ctrl+Z, you will only exit from the Profiler script. Docker will continue to run in the background until completion unless you stop the Docker process separately."
  },
  {
    "path": "src/aup/profiler/profiler.sh",
    "content": "#!/bin/bash\n\n#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\n#get user arguments for environment files and model data\nPOSITIONAL=()\nwhile [[ $# -gt 0 ]]\ndo\nkey=\"$1\"\n\ncase $key in\n    -e|--environment)\n    ENVIRONMENT=\"$2\"\n    shift\n    shift\n    ;;\n    -f|--modelfile)\n    TEXTFILE=\"$2\"\n    shift\n    shift\n    ;;\n    -m|--modellist)\n    MODELS=\"$2\"\n    shift\n    shift\n    ;;\nesac\ndone\nset -- \"${POSITIONAL[@]}\"\n\n#check if environment file is available\nif [[ -z $ENVIRONMENT ]]; then\n    echo \"Profiler needs an environment file. Please see documentation.\"\n    echo \"Exiting.\"\n    exit 1\nfi\n\n#check if no model is provided\nif [[ -z $TEXTFILE ]] && [[ -z $MODELS ]]; then\n    statscript.sh $ENVIRONMENT\n    source $ENVIRONMENT #need the OUTPUTFILE Variable.\n    if test -f \"$OUTPUTFILE\"; then\n        python3 -m aup.profiler.calculate $OUTPUTFILE\n    fi\n    exit 1\nfi\n\nset +e\n\n#run statscript for model textfile and compile usage stats\nif [[ -n $TEXTFILE ]]; then\n    for model in $(< \"$TEXTFILE\") ; do\n        echo \"Running $model\" \n        statscript.sh $ENVIRONMENT $model\n    done\n    python3 -m aup.profiler.compile_stats $ENVIRONMENT $TEXTFILE\n\nfi\n\n#run statscript for model list and compile usage stats\nif [[ -n $MODELS ]]; then \n    IFS=',' read -ra MODELSARR <<< \"$MODELS\"\n    for model in \"${MODELSARR[@]}\" ; do\n        echo \"Running $model\" \n        statscript.sh $ENVIRONMENT $model\n    done\n    python3 -m aup.profiler.compile_stats $ENVIRONMENT $MODELS\nfi\n\n\n\n\n\n"
  },
  {
    "path": "src/aup/profiler/statscript.sh",
    "content": "#!/bin/bash\n\n#  Copyright (c) 2020 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\nset -e\n#trap \"kill 0\" EXIT\n#exit 0\n#Check if environment file containing profiling details is present.\nif [[ $# -ne 1 && $# -ne 2 ]]; then\n  echo \"Missing environment file; use it as \\`statscript.sh <env file>\\`\"\n  exit 1\nfi\n\necho \"*********************************************************\"\necho \"Environment Variables\"\necho \"*********************************************************\"\n\ngrep -v \"^#\" $1\nsource $1\n\n#Intermediate Variables - 'test_container' and 'test_image' to help the user with debugging.\nCONTAINERNAME=\"test_container\"\nIMAGENAME=\"test_image\"\n\n#If we are running for multiple models, model name is the second argument.\nif [ $2 ]; then\n    SCRIPT=$SCRIPT\"\\\" , \\\"\"$2\n    FULLPATH=\"${2##*/}\"\n    MODELNAME=\"${FULLPATH%.*}\" \n    DOCFILE=$DOCFILE\"_\"$MODELNAME\n    OUTPUTFILE=$MODELNAME\"_\"$OUTPUTFILE\n    CONTAINERNAME=$MODELNAME\"_con\"\n    IMAGENAME=$MODELNAME\"_img\"\nfi\n\necho \"*********************************************************\"\necho \"BUILDING DOCKER IMAGE\"\necho \"*********************************************************\"\n\n\ntime_command=\"python -c 'import time; print(int(1000*time.time()))'\"\n#time_command='$(($(date +%s%N)/1000000))'\n#time_command='$(($(gdate +%s%N)/1000000))'\nrm -f $OUTPUTFILE\n\n#Check if user-specified Dockerfile is present, otherwise create a new one using environment file. \n#Note is Dockerfile is present, it is given priority over information in the environment file.\nif test ! -f \"$DOCFILE\"; then\n    touch $DOCFILE\n    echo \"FROM $IMAGEREPO\" >> $DOCFILE\n    if [ ! -z \"$APTREQUIREMENTS\" ]; then\n        echo \"RUN apt-get update && apt-get install -y \\\\\" >> $DOCFILE\n        IFS=' ' read -r -a aptreq <<< \"$APTREQUIREMENTS\"\n        arraylength=${#aptreq[@]}\n        for (( i=1; i<${arraylength}; i++ ));\n        do\n           echo \"${aptreq[$i-1]} \\\\ \" >> $DOCFILE\n        done\n        echo \"${aptreq[$arraylength-1]} \" >> $DOCFILE\n    fi\n    echo \"RUN mkdir /app\" >> $DOCFILE\n    echo \"WORKDIR /app\" >> $DOCFILE\n    echo \"copy $DIR .\" >> $DOCFILE\n    if [ ! -z \"$PRERUN\" ]; then \n        echo \"RUN $PRERUN\" >> $DOCFILE\n    fi\n    if [ ! -z \"$PIPREQUIREMENTS\" ]; then\n        echo \"RUN pip install $PIPREQUIREMENTS\" >> $DOCFILE\n    fi\n    echo \"CMD [\\\"$COMMAND\\\", \\\"$SCRIPT\\\"]\" >> $DOCFILE\n\n    echo \"*********************************************************\"\n    echo \"DOCKERFILE CREATED - PRINTING\"\n    echo \"*********************************************************\"\n    cat $DOCFILE\nfi\n\n#Build the docker image using the Dockerfile.\ndocker build -f $DOCFILE -t $IMAGENAME .\n\n#Exit if the build was unsuccessful.\nif [[ $? -ne 0 ]] || [[ \"$(docker images -q $IMAGENAME 2> /dev/null)\" == \"\" ]]; then\n    echo \"*********************************************************\"\n    echo \"DOCKER IMAGE FAILED. EXITING\"\n    echo \"*********************************************************\"\n    exit 1\nfi\n\n#Add CPU and Memory constraints specified in the environment file.\nif [ -z \"$DOCKCPUS\" ]; then\n    CPULIMSTR=\"\"\nelse\n    CPULIMSTR=\"--cpus=$DOCKCPUS\"\nfi\n\nif [ -z \"$DOCKMEMORY\" ]; then\n    MEMLIMSTR=\"\"\nelse\n    MEMLIMSTR=\"-m=$DOCKMEMORY\"\nfi\n\n#Run the docker container using the created docker image\necho \"*********************************************************\"\necho \"RUNNING DOCKER CONTAINER\"\necho \"*********************************************************\"\n\ndocker run $DOCKER_ARGS $CPULIMSTR $MEMLIMSTR --name $CONTAINERNAME --rm $IMAGENAME &\n\npid=$!\ntouch ${OUTPUTFILE}\n\n#running docker stats on the container\necho \"*********************************************************\"\necho \"RUNNING DOCKER STAT ANALYSIS\"\necho \"*********************************************************\"\n\n\necho -e \"\\n\"\necho -e \"Profiling script: \"$SCRIPT\"\\n\" >> ${OUTPUTFILE}\necho \"NAME | AVG CPU % | AVG MEM USAGE / LIMIT | NET I/O | BLOCK I/O | TIMESTAMP\" | column -t -s \"|\" >> ${OUTPUTFILE}\necho \"NAME | AVG CPU % | AVG MEM USAGE / LIMIT | NET I/O | BLOCK I/O\" | column -t -s \"|\"\n\n\n#Time counter set up\ninittime=$(eval $time_command)\nstarttime=$(eval $time_command)\n\n#While the script executes in the dockercontainer, repeatedly call docker stats on the container every sampletime milliseconds.\n#Record the output of the docker stats in the output file.\nwhile ps -p $pid &>/dev/null; do\n    if [ \"$(eval $time_command)\" -gt \"$((starttime + $SAMPLETIME*1000))\" ]; then\n        starttime=$(eval $time_command)\n\n        #get stats for docker process\n        IFS=, read -r name pids cpu mem net block <<<  \"$(docker stats ${CONTAINERNAME} --no-stream --format \"{{.Name}},{{.PIDs}},{{.CPUPerc}},{{.MemUsage}},{{.NetIO}},{{.BlockIO}}\")\" \n        if [ \"$(eval $time_command)\" -gt \"$((starttime + $SAMPLETIME*1000))\" ]; then\n            echo \"WARNING: Your Query Time is too short, Docker stats take longer to compute.\"\n        fi\n        if [ -z \"$name\" ]; then\n            break\n        fi\n        echo  $name\"|\"$cpu\"|\"$mem\"|\"$net\"|\"$block\"|\"$(eval $time_command)\"\" | column -t -s \"|\" >> ${OUTPUTFILE}\n        echo  $name\"|\"$cpu\"|\"$mem\"|\"$net\"|\"$block\"\" | column -t -s \"|\"\n    fi\ndone\n\nendtime=$(eval $time_command)\necho \"Total time taken for command = $(($endtime-$inittime)) milliseconds\"\n\n#if [ ! $2 ]; then\n#Calculate the Usage stats for profiler using the output file.\n#    python3 calculate.py $OUTPUTFILE\n#fi\n\necho \"*********************************************************\"\necho \"FINISHED\"\necho \"*********************************************************\"\necho -e \"FINISHED \\n********************************************************* \\n\" >> ${OUTPUTFILE}\necho -e \"\\n\"\necho -e \"\\n\"\nwait"
  },
  {
    "path": "src/aup/setup.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nSetup scripts for Auptimizer\n============================\n\n:mod:`aup.setup` is the entry point to set up the `.aup` environment.\n\nSee :doc:`environment` for more details.\n\nRun it as:\n\n  python -m aup.setup [env_template] ...\n\nThe templates are at ``Examples/2dfunc_diff_res/*.ini``.\n\nAdditional arguments\n--------------------\n\n.. program-output:: python3 -m aup.setup -h\n\nAPIs\n----\n\"\"\"\nimport json\nimport logging\nimport os\nfrom shutil import rmtree\nimport sys\n\nimport click\nimport coloredlogs\nfrom six.moves import input\nfrom six.moves.configparser import ConfigParser\n\nfrom .utils import get_default_username, LOG_LEVEL\n\n# Name of resources in .aup database\nGPU_RESOURCE_NAME = \"gpu_mapping\"\nNODE_RESOURCE_NAME = \"node_mapping\"\nAWS_RESOURCE_NAME = \"aws_mapping\"\nlogger = logging.getLogger(\"aup.setup\")\n\nPYTHON_EXEC = sys.executable\n\ndef _create_folder(folder, overwrite=False):\n    \"\"\"Create a folder\"\"\"\n    if folder[0] == \"~\":\n        folder = os.path.expanduser(folder)\n    if os.path.exists(folder):\n        if not overwrite:\n            logger.fatal(\"Folder %s exists, please remove folder or use --overwrite\", folder)\n            raise Exception(\"Folder {} exists, please remove folder or use --overwrite\".format(folder))\n        else:\n            rmtree(folder)\n    try:\n        os.mkdir(folder)\n    except Exception as e:   # pragma: no cover\n        logger.fatal(\"Failed to create folder, check the error message below\")\n        raise e\n    return folder\n\n\ndef _set_resource(resource, config, target, start_rid):\n    \"\"\"Update resource allocation in Auptimizer and track resource ID\"\"\"\n    if resource == \"none\":\n        if config.has_option(\"Auptimizer\", target):\n            logger.warning(\"Remove conflict resource %s in Auptimizer.\", target)\n            config.remove_option(\"Auptimizer\", target)\n    else:\n        if os.path.isfile(resource):\n            with open(resource, 'r') as f:\n                d = f.readlines()\n        else:\n            d = resource.split(\",\")\n        if len(d) == 0 or d[0] == \"\":\n            logger.critical(\"No resources for %s\", target)\n        resources = {}\n        for i in d:\n            resources[start_rid] = i.strip()\n            start_rid += 1\n        logger.info(\"Assign resource %s as %s\", target, json.dumps(resources))\n        config.set(\"Auptimizer\", target, json.dumps(resources))\n    return start_rid\n\n\ndef interactive_env(config):  # pragma: no cover\n    config.add_section(\"Auptimizer\")\n    aup_path = input(\"Auptimizer Environment path - Auptimizer_PATH (Default is `.aup`):\") or \".aup\"\n    config.set(\"Auptimizer\", \"Auptimizer_PATH\", aup_path)\n    aup_tmp = input(\"Auptimizer Temp folder - TMP_FOLDER (/tmp/auptmp):\") or \"/tmp/auptmp\"\n    config.set(\"Auptimizer\", \"TMP_FOLDER\", aup_tmp)\n    config.set(\"Auptimizer\", \"SQL_ENGINE\", \"sqlite\")\n    return config\n\n\ndef interactive_setup(env, config, cpu, gpu, node, aws, user, overwrite):  # pragma: no cover\n    \"\"\"\n    Interactive user interface to get parameters for setup\n    \"\"\"\n    print(\"Hit ENTER to use default values in brackets.\")\n    if env == \".\":\n        env = input(\"Load existing Auptimizer environment (env.ini file path), hit ENTER to initialize a new one:\")\n\n    if env.strip() == \"\":\n        config = interactive_env(config)\n    else:\n        if not os.path.isfile(env):\n            logger.fatal(\"Environment file %s does not exist, exit!\", env)\n            exit(1)\n        try:\n            config.read(env)\n        except Exception as e:\n            logger.fatal(\"Failed to load environment template %s using ConfigParser\", env)\n            raise e\n\n    cpu = int(input(\"Number of CPUs for parallel jobs (%d):\" % cpu) or cpu)\n    gpu = input(\"GPU template file or comma-separated IDs (%s):\" % gpu) or gpu\n    node = input(\"Node template file (%s) or comma-separated nodes (user@ip:[port] [keyfile]):\" % node) or node\n    aws = input(\"AWS template file (%s) or comma-separated nodes (user@ip):[port] [keyfile]):\" % aws) or aws\n    user = input(\"Username (%s):\" % user) or user\n\n    if not overwrite:\n        overwrite = input(\"Overwrite (y/N)\").lower() == \"y\"\n\n    return config, cpu, gpu, node, aws, user, overwrite\n\n\ndef setup(config, cpu, gpu, node, aws, user, overwrite, log):\n    \"\"\"\n    Set up .aup environment\n\n    :param config: env config\n    :param cpu: number of cpu jobs\n    :param gpu: gpu configuration file, 'none' if not exist\n    :param node: node file, 'none' if not exist\n    :param aws: aws file\n    :param user: username, user specified > OS USER variable > 'default'\n    :param overwrite: overwrite existing .aup environment\n    :param log: log level for setupdb\n    \"\"\"\n    folder_path = _create_folder(config.get(\"Auptimizer\", \"Auptimizer_PATH\"), overwrite=overwrite)\n    config.set(\"Auptimizer\", \"Auptimizer_PATH\", folder_path)\n    folder_path = _create_folder(config.get(\"Auptimizer\", \"TMP_FOLDER\"), overwrite=True)\n    config.set(\"Auptimizer\", \"TMP_FOLDER\", folder_path)\n\n    pending_commands = []\n\n    rid = 1\n    rid = _set_resource(gpu, config, GPU_RESOURCE_NAME, rid)\n    rid = _set_resource(node, config, NODE_RESOURCE_NAME, rid)\n    rid = _set_resource(aws, config, AWS_RESOURCE_NAME, rid)\n    logger.debug(\"Create %d resources\", rid)\n\n    if config.get(\"Auptimizer\", \"SQL_ENGINE\") == \"sqlite\":\n        tmp_path = os.path.join(config.get(\"Auptimizer\", \"Auptimizer_PATH\"), \"sqlite3.db\")\n        config.set(\"Auptimizer\", \"SQLITE_FILE\", tmp_path)\n        pending_commands.append(PYTHON_EXEC + \" -m aup.setupdb.sqlite %s --user %s --cpu %d --log %s\" % (\n            os.path.join(config.get(\"Auptimizer\", \"Auptimizer_PATH\"), \"env.ini\"), user, cpu, log))\n    else:\n        logger.fatal(\"SQL engine %s is not implemented\",\n                     config.get(\"Auptimizer\", \"SQL_ENGINE\"))\n        exit(1)\n\n    env_path = os.path.join(config.get(\"Auptimizer\", \"Auptimizer_PATH\"), \"env.ini\")\n    with open(env_path, \"w\") as f:\n        logger.info(\"Write env.ini to %s\", env_path)\n        config.write(f)\n    logger.info(\"Following commands are being executed:\")\n    for i, command in enumerate(pending_commands):\n        logger.info(\"Executing command: \" + command)\n        rflag = os.system(command)\n        if rflag != 0:\n            logger.fatal(\"Failed in setup commands\\nFollowing commands need finish manually (and debug):\\n %s\",\n                         \"\\n\".join(pending_commands[i:]))\n            exit(1)\n\n\n@click.command(name=\"Continuous Training Engine Setup\",\n               context_settings=dict(help_option_names=['-h', '--help']))\n@click.argument(\"env\", default=\".\", type=click.Path(exists=True))\n@click.option(\"--cpu\", default=4, help=\"Number of cores\")\n@click.option(\"--gpu\", default='none', help=\"GPU file path\")\n@click.option(\"--node\", default='none', help=\"Node file path\")\n@click.option(\"--aws\", default='none', help=\"AWS file path\")\n@click.option(\"--user\", default=None, help=\"User account for Auptimizer\")\n@click.option('--overwrite', is_flag=True, help=\"overwrite existing folder (and records!)\")\n@click.option(\"--log\", default=\"info\", type=click.Choice(LOG_LEVEL.keys()), help=\"Log level\")\ndef main(env, cpu, gpu, node, aws, user, overwrite, log):  # pragma: no cover\n    \"\"\" Create environment based on env file for Auptimizer\n    \\b\\n\n    Copyright (C) 2018  LG Electronics Inc.\n    \\b\\n\n    GPL-3.0 License. This program comes with ABSOLUTELY NO WARRANTY;\n    \\b\\n\n    Arguments:\n        env {str}: Auptimizer config folder path. Default to create at `./.aup/`.  Leave empty to create a new one.\n                   Or use the path of the filename (env.ini) to load predefined values (also use --overwrite).\n\n    \\b\n    Raises:\n        Exception: If failed to load the existing Auptimizer configuration file.\n    \"\"\"\n    coloredlogs.install(level=LOG_LEVEL[log],\n                        fmt=\"%(levelname)s - %(message)s\")\n\n    user = get_default_username(user)\n    config = ConfigParser()\n    config.optionxform = str\n\n    if env == \".\":  # interactive\n        config, cpu, gpu, node, aws, user, overwrite = \\\n            interactive_setup(env, config, cpu, gpu, node, aws, user, overwrite)\n    else:\n        try:\n            if not os.path.isfile(env):\n                logger.info(\"Load default env.ini file.\")\n                env = os.path.join(env, \"env.ini\")\n            config.read(env)\n        except Exception as e:\n            logger.fatal(\"failed to read %s\", env)\n            raise e\n    setup(config, cpu, gpu, node, aws, user, overwrite, log)\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/setupdb/__init__.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\""
  },
  {
    "path": "src/aup/setupdb/__main__.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nSet up database for Auptimizer\n==============================\n\nSet up the database for **Auptimizer** based on the specified environment ini file.\n\nIt is called automatically when user sets up the **Auptimizer** for the first time.\n\nUse it to reset database to the **original** state.\n\nAdditional arguments\n--------------------\n\n.. program-output:: python3 -m aup.setupdb -h\n\n\"\"\"\n\nimport logging\nimport os\n\nimport click\nimport coloredlogs\nfrom six.moves.configparser import ConfigParser\n\nfrom ..utils import LOG_LEVEL\n\nlogger = logging.getLogger(\"aup.setupdb\")\n\n\n@click.command(name=\"Setup database\",\n               context_settings=dict(help_option_names=['-h', '--help']))\n@click.argument(\"env_file\", type=click.Path(exists=True))\n@click.option(\"--user\", default=os.environ[\"USER\"], help=\"username for history tracking\")\n@click.option(\"--cpu\", default=4, type=click.INT, help=\"number of CPUs to run parallel\")\n@click.option(\"--name\", default=\"localhost\", help=\"resource name, not used\")\n@click.option(\"--log\", default=\"info\", type=click.Choice([\"debug\", \"info\", \"warn\", \"error\"]), help=\"Log level\")\ndef main(env_file, user, cpu, name, log):\n    \"\"\"Create Database for *Auptimizer* env.ini.\n\n    \\b\n    Arguments:\n        env_file {str}: Auptimizer environment file\n    \"\"\"\n    config = ConfigParser()\n    config.read(env_file)\n\n    coloredlogs.install(level=LOG_LEVEL[log], fmt=\"%(name)s - %(levelname)s - %(message)s\")\n\n    if config.get(\"Auptimizer\", \"SQL_ENGINE\") == \"sqlite\":\n        from . import sqlite\n        sqlite.create_database(config, [user], cpu, name)\n    else:\n        raise KeyError(\"%s is not implemented\" % config.get(\"Auptimizer\", \"SQL_ENGINE\"))\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/setupdb/reset.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nReset database\n==============\n\nReset database **without** removing experiment history.\n\nAdditional arguments\n--------------------\n\n.. program-output:: python3 -m aup.setupdb.reset -h\n\n\"\"\"\nimport click\nfrom six.moves.configparser import ConfigParser\n\n\n@click.command(name=\"Reset DB resource table\",\n               context_settings=dict(help_option_names=['-h', '--help']))\n@click.argument(\"env_file\", type=click.Path(exists=True))\ndef main(env_file):\n    \"\"\"Reset database defined in env.ini file, history remains.\n    \\b\\n\n    Copyright (C) 2018  LG Electronics Inc.\n    \\b\\n\n    GPL-3.0 License. This program comes with ABSOLUTELY NO WARRANTY;\n    \\b\\n\n    Arguments:\n        env_file {str}: Auptimizer environment file\n    \"\"\"\n    config = ConfigParser()\n    config.read(env_file)\n\n    if config.get(\"Auptimizer\", \"SQL_ENGINE\") == \"sqlite\":\n        from . import sqlite\n        sqlite.reset(config)\n    else:\n        raise KeyError(\"%s is not implemented\" % config.get(\"Auptimizer\", \"SQL_ENGINE\"))\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/setupdb/sqlite.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nSet up SQLite database for Auptimizer\n=====================================\n\nThis code is running automatically during the setup.\nIf needed, it can be used as\n\n.. program-output:: python3 -m aup.setupdb.sqlite -h\n\nAPIs\n----\n\"\"\"\nimport sqlite3\nimport os\nimport click\nimport json\nimport logging\nimport coloredlogs\nfrom ..utils import get_default_username, LOG_LEVEL\n\nfrom six.moves.configparser import ConfigParser\n\nlogger = logging.getLogger(\"aup.setupdb.sqlite\")\n\n\ndef _create_connection(db_file):\n    filename = os.path.expanduser(db_file)\n    return sqlite3.connect(filename)\n\n\ndef _insert_resource(config, res_name, cursor, name, type):\n    if not config.has_option(\"Auptimizer\", res_name):\n        return\n    for i in json.loads(config.get(\"Auptimizer\", res_name)):\n        cursor.execute(\"INSERT INTO resource (rid, name, type, status) VALUES (?,?,?,?)\",\n                       (i, name, type, \"free\"))\n\n\ndef create_database(config, usernames, cpu, name):\n    \"\"\"Create new database for Auptimizer\n    \n    :param config: contains ``SQLITE_FILE``, ``gpu_mapping`` under ``Auptimizer`` section\n    :type config: configparser.ConfigParser\n    :param usernames: list of username, not used\n    :type usernames: list(str)\n    :param cpu: number of CPUs for parallel jobs\n    :type cpu: int\n    :param name: node information, not used\n    :type name: str\n    \"\"\"\n    try:\n        file = config.get(\"Auptimizer\", \"SQLITE_FILE\")\n    except Exception as e:\n        logger.fatal(\"failed to retrieve SQLITE_FILE from aup environment\")\n        raise e\n    conn = _create_connection(file)\n    c = conn.cursor()\n\n    # User Table\n    c.execute(\"DROP TABLE IF EXISTS user;\")\n    c.execute(\"\"\"CREATE TABLE user\n        (uid INTEGER PRIMARY KEY NOT NULL, name TEXT UNIQUE, permission BLOB);\"\"\")\n\n    # Resource Table\n    c.execute(\"DROP TABLE IF EXISTS resource;\")\n    c.execute(\"\"\"CREATE TABLE resource\n        (rid INTEGER PRIMARY KEY NOT NULL, name TEXT, type TEXT, status TEXT)\"\"\")\n\n    # Experiment Table\n    c.execute(\"DROP TABLE IF EXISTS experiment;\")\n    c.execute(\"\"\"CREATE TABLE experiment \n        (eid INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, uid INTEGER, name TEXT, start_time INTEGER, end_time INTEGER,\n         status TEXT CHECK(status IN ('CREATED', 'RUNNING', 'STOPPED', 'FINISHED', 'FAILED', 'STOPPING', 'REQUEST_STOP')),\n         exp_config BLOB, error_msg TEXT NULL,\n        FOREIGN KEY(uid) REFERENCES user(uid));\"\"\")\n\n    # Job Table\n    c.execute(\"DROP TABLE IF EXISTS job;\")\n    c.execute(\"\"\"CREATE TABLE job\n        (jid INTEGER PRIMARY KEY NOT NULL, score REAL, eid INTEGER, start_time INTEGER, end_time INTEGER,\n        status TEXT CHECK(status IN ('RUNNING', 'EARLY_STOPPED', 'FINISHED', 'FAILED')),\n        job_config BLOB,\n        FOREIGN KEY(eid) REFERENCES experiment(eid));\"\"\")\n\n    # Job Attempt Table\n    c.execute(\"DROP TABLE IF EXISTS job_attempt;\")\n    c.execute(\"\"\"CREATE TABLE job_attempt\n        (jaid INTEGER PRIMARY KEY NOT NULL, jid INTEGER, num INTEGER, rid INTEGER, start_time INTEGER, end_time INTEGER,\n        FOREIGN KEY(jid) REFERENCES job(jid),\n        FOREIGN KEY(rid) REFERENCES resource(rid));\"\"\")\n    \n    # Intermediate result table\n    c.execute(\"DROP TABLE IF EXISTS intermediate_result;\")\n    c.execute(\"\"\"CREATE TABLE intermediate_result\n        (irid INTEGER PRIMARY KEY NOT NULL, num INTEGER, score REAL, jid INTEGER, receive_time INTEGER,\n        FOREIGN KEY(jid) REFERENCES job(jid));\"\"\")\n\n    # Multiple results table\n    c.execute(\"DROP TABLE IF EXISTS multiple_result;\")\n    c.execute(\"\"\"CREATE TABLE multiple_result\n        (mrid INTEGER PRIMARY KEY NOT NULL, label_order INTEGER, value REAL, receive_time INTEGER, \\\n            jid INTEGER, irid INTEGER, eid INTEGER, is_last_result INTERGER,\n        FOREIGN KEY(jid) REFERENCES job(jid),\n        FOREIGN KEY(irid) REFERENCES intermediate_result(irid),\n        FOREIGN KEY(eid) REFERENCES experiment(eid));\"\"\")\n\n    for username in usernames:\n        # currently no specific limitation\n        c.execute(\"INSERT INTO user (name, permission) VALUES (?,?)\", (username, \"all\"))\n\n    _insert_resource(config, \"gpu_mapping\", c, name, \"gpu\")\n    _insert_resource(config, \"node_mapping\", c, \"remote\", \"node\")\n    _insert_resource(config, \"aws_mapping\", c, \"remote\", \"aws\")\n\n    for i in range(cpu):\n        c.execute(\"INSERT INTO resource (name, type, status) VALUES (?,?,?)\", (name, \"cpu\", \"free\"))\n    c.execute(\"INSERT INTO resource (name, type, status) VALUES (?,?,?)\", (name, \"passive\", \"free\"))\n    conn.commit()\n    conn.close()\n\n    # print(\"\\033[93mSQLite3 Database is created at %s\\033[0m\" % config.get(\"Auptimizer\", \"SQLITE_FILE\"))\n    logger.info(\"SQLite3 Database is created at %s\" % config.get(\"Auptimizer\", \"SQLITE_FILE\"))\n\n\ndef reset(config):\n    \"\"\"Close on-going jobs/experiment and reset resources without deleting existing results:\n    \n    :param config: contains ``SQLITE_FILE`` under ``Auptimizer`` section\n    :type config: configparser.ConfigParser\n    \"\"\"\n\n    conn = _create_connection(config.get(\"Auptimizer\", \"SQLITE_FILE\"))\n    c = conn.cursor()\n\n    c.execute(\"UPDATE experiment SET end_time=strftime('%s','now') WHERE end_time ISNULL;\")\n    c.execute(\"UPDATE job SET score=-999, end_time=strftime('%s','now') WHERE end_time ISNULL;\")\n    c.execute(\"UPDATE resource SET status='free' WHERE status='busy';\")\n    conn.commit()\n    conn.close()\n\n\n@click.command(name=\"create Auptimizer database, prefer to use aup.setupdb.reset instead of calling this directly\",\n               context_settings=dict(help_option_names=['-h', '--help']))\n@click.argument(\"env_file\", type=click.Path(exists=True))\n@click.option(\"--user\", default=None, help=\"username for history tracking\")\n@click.option(\"--cpu\", default=4, type=click.INT, help=\"number of CPUs to run parallel\")\n@click.option(\"--name\", default=\"localhost\", help=\"resource name, not used\")\n@click.option(\"--log\", default=\"info\", type=click.Choice([\"debug\", \"info\", \"warn\", \"error\"]), help=\"Log level\")\n# name is no in use.  - all resources are under the name of `localhost`\ndef main(env_file, user, cpu, name, log):  # pragma: no cover\n    \"\"\"Create database for **Auptimizer** with specified in env.ini file.\n    \\b\\n\n    Copyright (C) 2018  LG Electronics Inc.\n    \\b\\n\n    GPL-3.0 License. This program comes with ABSOLUTELY NO WARRANTY;\n    \\b\\n\n    Arguments:\n        env_file {str}: Auptimizer environment file\n    \"\"\"\n    coloredlogs.install(level=LOG_LEVEL[log],\n                        fmt=\"%(asctime)-15s - %(name)s - %(levelname)s - %(message)s\")\n\n    user = get_default_username(user)\n\n    config = ConfigParser()\n    config.read(env_file)\n    create_database(config, [user], cpu, name)\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "src/aup/utils.py",
    "content": "#!/usr/bin/env python\n\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nUtility functions\n=================\n\nSupporting functions used by other modules.\n\nAPIs\n----\n\"\"\"\nfrom __future__ import print_function\n\nimport sys\n\nimport logging\nimport os\nfrom os import path\nfrom six.moves import input\nfrom six.moves.configparser import ConfigParser\nimport paramiko as pm\nfrom paramiko import SFTPClient\n\nfrom .aup import BasicConfig, print_result\n\nlogger = logging.getLogger(__name__)\n\nLOG_LEVEL = {\"debug\": logging.DEBUG, \"info\": logging.INFO, \"warn\": logging.WARN, \"error\": logging.ERROR}\n\nDEFAULT_AUPTIMIZER_PATH = path.join(\".aup\")  # use local as default\n\n\ndef check_missing_key(config, key, msg, log=logger):\n    \"\"\"Verify important key is present, otherwise raise exception\n\n    :param config: configuration\n    :type config: dict\n    :param key: key name\n    :type key: str\n    :param msg: warning message when key is not present\n    :type msg: str\n    :param log: logger obj to trace where the function is called, default is aup.utils\n    :type log: logging.Logger\n    \"\"\"\n    if key not in config:\n        log.error(msg)\n        raise KeyError(msg)\n\n\ndef get_default_connector(auppath=DEFAULT_AUPTIMIZER_PATH, log=logger):\n    \"\"\"Get default connector based on .env\n\n    :param auppath: aup environment folder, contains `env.ini` file\n    :param log: logger obj to trace where the function is called, default is aup.utils\n    :type log: logging.Logger\n    :return: Database connector\n    :rtype: :mod:`aup.ET.Connector.AbstractConnector`\n    \"\"\"\n    config = load_default_env(auppath=auppath)\n    log.debug(config)\n    if \"SQL_ENGINE\" not in config:\n        raise KeyError(\"No SQL setup for SQL_ENGINE in %s\"%auppath)\n    elif config[\"SQL_ENGINE\"] == \"sqlite\":\n        from .ET.Connector.SQLiteConnector import SQLiteConnector\n        if \"SQLITE_FILE\" not in config:\n            raise KeyError(\"SQLITE_FILE is missing in %s for sqlite setup\"%auppath)\n        logger.info(\"Use default connector at %s\" % config[\"SQLITE_FILE\"])\n        return SQLiteConnector(path.expanduser(config[\"SQLITE_FILE\"]))\n    else:\n        raise KeyError(\"SQL setup for %s is not supported\" % config[\"SQLITE_FILE\"])\n\n\ndef get_default_username(username=None):\n    \"\"\"\n    Get default username for Auptimizer\n    \n    :param username: username\n    :return: username\n    \"\"\"\n    if username is None:\n        if \"USER\" not in os.environ or not os.environ[\"USER\"]:\n            logger.critical(\"No USER specified, use `default`.\")\n            return \"default\"\n        else:\n            logging.info(\"Using default user %s\" % os.environ[\"USER\"])\n            return os.environ[\"USER\"]\n    else:\n        logging.debug(\"For user %s\" % username)\n        return username\n\n\ndef get_from_options(msg, values, default=None):  # pragma: no cover\n    \"\"\"\n    helper function to ask from user input, and validate it is one of the permitted values.\n    \n    :param msg: message to ask the user\n    :param values: permitted values\n    :param default: default value when user skip, if None, values[0] is used.\n    :return: value with the same type as values[0]\n    \"\"\"\n    if default is None:\n        default = values[0]\n    v = input(msg + \" [%s]:\" % str(default)) or default\n    v = type(default)(v)\n    if v not in values:\n        logger.fatal(\"%s is not valid value, choose from [%s]\" % (v, \"|\".join([str(v) for v in values])))\n        exit(1)\n    return v\n\n\ndef load_default_env(auppath=DEFAULT_AUPTIMIZER_PATH, log=logger, use_default=True):\n    \"\"\"Load default environment variables for aup.\n    Search recursively to upper folder\n\n    :param auppath: aup environment folder, contains `env.ini` file\n    :type auppath: str\n    :param log: logger obj to trace where the function is called, default is aup.utils, \n                if None, then no logging is performed\n    :type log: logging.Logger\n    :param use_default: if auppath is empty, use user's home folder instead.\n    :type use_default: bool\n    :return: key-value of parameters\n    :rtype: dict\n    \"\"\"\n    if not path.isfile(path.join(auppath, \"env.ini\")):\n        if use_default:\n            auppath = path.join(path.expanduser(\"~\"), \".aup\")\n            if log is not None:\n                log.warning(\"Use default env at %s\" % auppath)\n            if not path.isfile(path.join(auppath, \"env.ini\")):  # pragma: no cover\n                raise Exception(\"Failed to find env.ini\")\n        else:\n            raise ValueError(\"Auptimizer folder %s is missing\" % auppath)\n    if log is not None:\n        log.info(\"Auptimizer environment at %s\", auppath)\n    config = ConfigParser()\n    config.optionxform = str\n    config.read(path.join(auppath, \"env.ini\"))\n    return {i[0]: i[1] for i in config.items(\"Auptimizer\")}\n\n\ndef parse_result(result, log=logger):\n    \"\"\"\n    Parse the result printed by :func:`print_result`\n\n    :param log: logger obj to trace where the function is called, default is aup.utils\n    :type log: logging.Logger\n    :param result: result string\n    :type result: str\n    :return: result for Auptimizer update\n    :rtype: float\n    \"\"\"\n    result = result.splitlines()\n    for r in result:\n        if \"#Auptimizer:\" in r:\n            result = r[12:]\n            try:\n                return float(result)\n            except ValueError:\n                logger.debug(\"Cannot convert the result to float - trying to convert the result to a list\")\n                return [float(f) for f in result.split(',')]\n\n    log.fatal(\"Result `%s` is not created by aup\", result)\n    raise ValueError(\"Result `%s` is not created by aup print_result\" % result)\n\ndef parse_one_line(result, log=logger):\n    if \"#Auptimizer:\" in result:\n        result = result[12:]\n        try:\n            return [float(result)]\n        except ValueError:\n            logger.debug(\"Cannot convert the result to float - trying to convert the result to a list\")\n            return [float(f) for f in result.split(',')]\n\n    return None\n\n\ndef set_default_keyvalue(key, value, d, inplace=True, log=logger):\n    \"\"\"Set default value for dict if key is not defined\n\n    :param key: key name\n    :type key: str\n    :param value: key value\n    :type value: object\n    :param d: target dict object to be updated\n    :type d: dict\n    :param inplace: whether update in place.\n    :type inplace: boolean\n    :param log: logger obj to trace where the function is called, default is aup.utils\n    :type log: logging.Logger\n    :return: updated dict\n    :rtype: dict\n    \"\"\"\n    if not inplace:\n        d = d.copy()\n    if key not in d:\n        log.warning(\"Using default value %s for %s\" % (value, key))\n        d[key] = value\n    return d\n\ndef block_until_ready(client, socket, env):\n    \"\"\"Block current thread until we receive the ready status\n    :param client: the current connected client\n    :type client: SSHClient\n    :param socket: socket connection to machine where job is executed\n    :param env: environment to set up on the remote machine\n    \"\"\"\n    from time import sleep\n    import paramiko as pm\n\n    sleep_time_s = 0.1\n    timeout_time_s = 5\n    nop_linux_command = \":\"\n\n    while socket.channel.exit_status_ready() == False:\n        client.exec_command(nop_linux_command, timeout=timeout_time_s, environment=env)\n        logger.debug(\"Command executed successfully, now sleeping\")\n        sleep(sleep_time_s)\n\ndef open_sftp_with_timeout(client, timeout=5):\n    \"\"\"\n    SFTP Connection to transfer files and environment between Auptimizer source machine and remote machine.\n    \"\"\"\n    t = client.get_transport()\n    chan = t.open_session(\n            window_size=None, max_packet_size=None, timeout=timeout\n        )\n    if chan is None:\n        return None\n    chan.invoke_subsystem(\"sftp\")\n    return SFTPClient(chan)\n\ndef get_available_port():\n    \"\"\"\n    Returns first open port available.\n    \"\"\"\n    from socket import socket\n    with socket() as s:\n        s.bind(('',0))\n        port = int(s.getsockname()[1])\n    return port"
  },
  {
    "path": "src/aup/visualize.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nVisualize one experiment result\n===============================\n\n:mod:`aup.visualize` is the entry point to visualize the result from an \nexperiment ``eid``::\n\n  python -m aup.visualize <eid>\n\nAdditional arguments\n--------------------\n\n.. program-output:: python3 -m aup.visualize -h\n  \n\"\"\"\nimport json\nimport logging\nimport os\n\nimport click\nimport coloredlogs\nimport pandas as pd\n\nif \"DISPLAY\" not in os.environ:\n    import matplotlib\n    matplotlib.use(\"AGG\")\n\nimport matplotlib.pylab as plt\n\nfrom .utils import get_default_connector\n\n_log_level = {\"debug\": logging.DEBUG, \"info\": logging.INFO, \"warn\": logging.WARN, \"error\": logging.ERROR}\n\nlogger = logging.getLogger(__name__)\n\n\n@click.command(name=\"Visualize an experiment\",context_settings=dict(help_option_names=['-h', '--help']))\n@click.argument(\"eid\", type=int)\n@click.option(\"--log\", default=\"info\", type=click.Choice([\"debug\", \"info\", \"warn\", \"error\"]))\n@click.option(\"--scale\", default=\"linear\", type=click.Choice(['linear', 'log']), help=\"Scale for y\")\n@click.option(\"--save\", default=None, type=str, help=\"output file\")\ndef main(eid, log, scale, save):\n    \"\"\"Visualize result for experiment\n    \\b\\n\n    Copyright (C) 2018  LG Electronics Inc.\n    \\b\\n\n    GPL-3.0 License. This program comes with ABSOLUTELY NO WARRANTY;\n    \\b\\n\n    Arguments:\n        eid {int} -- Experiment ID\n    \"\"\"\n    coloredlogs.install(level=_log_level[log], fmt=\"%(asctime)-15s - %(name)s - %(levelname)s - %(message)s\")\n    sql = get_default_connector()\n    sql.cursor.execute(\"SELECT * FROM experiment where eid = ?\", (eid,))\n    experiment_config = json.loads(sql.cursor.fetchone()[4])\n\n    history = sql.get_all_history(eid)\n    history = pd.DataFrame(history)\n    history.columns = ['jid', 'score', 'eid', 'rid', 'start_time', 'end_time', 'job_config']\n\n    fig = plt.figure(figsize=(16, 8))\n    fig.suptitle(\"Search Algorithm %s\" % experiment_config['proposer'])\n    plt.subplot(121)\n    plt.plot(history.score)\n    plt.legend()\n    plt.xlabel(\"Iteration\")\n    plt.ylabel(\"Accuracy\")\n    plt.yscale(scale)\n\n    plt.subplot(122)\n    if experiment_config[\"target\"] == \"min\":\n        plt.plot(history.score.cummin())\n        job = history.loc[history.score.idxmin()]\n    else:\n        plt.plot(history.score.cummax())\n        job = history.loc[history.score.idxmax()]\n    plt.legend()\n    plt.xlabel(\"Iteration\")\n    plt.ylabel(\"Best Accuracy so far\")\n    plt.yscale(scale)\n\n    print(\"Best score is %f with config %s\" % (job.score, job.job_config))\n    if save:\n        plt.savefig(save)\n    else:\n        plt.show()\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "tests/EE/Resource/.gitignore",
    "content": "data/jobs/\ndata/script/jobs\n"
  },
  {
    "path": "tests/EE/Resource/__init__.py",
    "content": ""
  },
  {
    "path": "tests/EE/Resource/test_AbstractResourceManager.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nimport os\nfrom aup.EE.Resource import AbstractResourceManager\n\n\nclass AbsResourceManagerTestCase(unittest.TestCase):\n    connector = None\n    n_parallel = None\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n\n    def test_import(self):\n        self.assertRaises(KeyError, AbstractResourceManager.get_resource_manager, \"none\", None, 1)\n        for k in AbstractResourceManager._SupportResource.keys():\n            if k == \"aws\":\n                continue\n            t = AbstractResourceManager.get_resource_manager(k, self.connector, self.n_parallel, auppath=self.auppath)\n            self.assertIsInstance(t, AbstractResourceManager.AbstractResourceManager)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/EE/Resource/test_CPUResourceManager.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport os\nimport unittest\nfrom shutil import copyfile\nfrom shutil import rmtree\nimport json\n\nfrom aup import BasicConfig\nfrom aup.EE.Job import Job\nfrom aup.EE.Resource.CPUResourceManager import CPUResourceManager\nfrom aup.utils import get_default_connector\n\nclass CPUResourceManagerTestCase(unittest.TestCase):\n    n_parallel = 1\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    job = Job(\"test_Job.py\", BasicConfig(), \"./tests/EE\")\n    job_fail = Job(\"task1.py\", BasicConfig(), \"./tests/data\")\n    job_fail2 = Job(\"task2.py\", BasicConfig(), \"./tests/data\")\n    job_fail3 = Job(\"task3.py\", BasicConfig(), \"./tests/data\")\n    job_5 = Job(\"task5.py\", {}, \"./tests/data\")\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n    val = 0\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n        self.connector = get_default_connector(self.auppath)\n        self.rm = CPUResourceManager(self.connector, self.n_parallel, eid=1)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        os.remove(self.bk_db)\n\n    def test_get_resource(self):\n        self.assertIsInstance(self.rm.get_available(\"test\", \"cpu\"), int)\n        # !IMPORTANT - currently, there is no user authentication.\n        self.assertIsInstance(self.rm.get_available(\"test2\", \"cpu\"), int)\n\n    def test_run(self):\n        def callback(*args):\n            self.val = -1\n\n        self.rm.run(self.job, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n        self.rm.executor.shutdown(wait=True)\n        self.assertEqual(self.val, -1)\n\n    def test_fail_run(self):\n        def callback(*args):\n            raise ChildProcessError\n        self.rm.run(self.job_fail, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n        self.rm.run(self.job_fail2, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n        self.rm.run(self.job_fail3, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n\n    def test_full_run(self):\n        def callback(*args):\n            pass\n        self.rm.run_job(self.job, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n        self.rm.finish_job(self.job.jid, 2.0)\n        self.rm.executor.shutdown(wait=True)\n        self.assertListEqual([1, 0.1], self.rm.finish())\n\n    def test_finish(self):\n        self.rm.suspend()\n        self.assertListEqual([1, 0.1], self.rm.finish())\n\nclass CPUResourceManagerEarlyStopTestCase(unittest.TestCase):\n    n_parallel = 1\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    job_5 = Job(\"task5.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n    job_5.jid = 1\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n    val = 0\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n        self.connector = get_default_connector(self.auppath)\n        self.rm = CPUResourceManager(self.connector, self.n_parallel,\n                                    track_intermediate_results=True,\n                                    early_stop={\"aup_policy\": \"median\",\n                                                \"aup_policy_steps\": 2},\n                                    eid=1)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        os.remove(self.bk_db)\n\n    def test_early_stop_median(self):\n        def callback(*args):\n            self.val = -1\n\n        self.rm.policy = \"median\"\n        self.rm.run_job(self.job_5, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n    \n    def test_early_stop_bandit(self):\n        def callback(*args):\n            self.val = -1\n\n        self.rm.policy = \"bandit\"\n        self.rm.run_job(self.job_5, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n    \n    def test_early_stop_truncation(self):\n        def callback(*args):\n            self.val = -1\n\n        self.rm.policy = \"truncation\"\n        self.rm.run_job(self.job_5, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n\nclass CPUResourceManagerSaveModelTestCase(unittest.TestCase):\n    eid = 2\n    n_parallel = 4\n    workingdir = os.path.join('tests', 'data')\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    save_model_folder = os.path.join(workingdir, \"aup_models\", 'models_{}'.format(eid))\n    res_folder = os.path.join(save_model_folder, '15')\n    job_1 = Job(\"task6.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n    job_1.jid = 2\n    job_2 = Job(\"task6.py\", BasicConfig({\"x\":15}), \"./tests/data\")\n    job_2.jid = 3\n    job_3 = Job(\"task6.py\", BasicConfig({\"x\":2}), \"./tests/data\")\n    job_3.jid = 4\n    job_4 = Job(\"task6.py\", BasicConfig({\"x\":1}), \"./tests/data\")\n    job_4.jid = 5\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n    val = 0\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n        self.connector = get_default_connector(self.auppath)\n        self.rm = CPUResourceManager(self.connector, self.n_parallel,\n                                    eid=self.eid,\n                                    maximize=True,\n                                    save_model=True,\n                                    script='task6.py',\n                                    workingdir=self.workingdir)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        rmtree(self.save_model_folder)\n        os.remove(self.bk_db)\n\n    def test_normal_path(self):\n        def callback(*args):\n            self.connector.end_job(args[1], args[0], 'FINISHED')\n            self.val = -1\n\n        self.val = 0\n\n        self.connector.start_experiment('test', 'test', '{}')\n\n        curr_rid = self.rm.get_available(\"test\", \"cpu\")\n        self.connector.start_job(self.eid, curr_rid, self.job_1.config)\n        self.rm.run_job(self.job_1, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n\n        curr_rid = self.rm.get_available(\"test\", \"cpu\")\n        self.connector.start_job(self.eid, curr_rid, self.job_2.config)\n        self.rm.run_job(self.job_2, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n\n        curr_rid = self.rm.get_available(\"test\", \"cpu\")\n        self.connector.start_job(self.eid, curr_rid, self.job_3.config)\n        self.rm.run_job(self.job_3, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n\n        curr_rid = self.rm.get_available(\"test\", \"cpu\")\n        self.connector.start_job(self.eid, curr_rid, self.job_4.config)\n        self.rm.run_job(self.job_4, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n\n        self.rm.finish()\n\n        self.assertTrue(os.path.exists(self.res_folder))\n        self.assertEqual(self.val, -1)\n\nclass CPUResourceManagerMultipleResTestCase(unittest.TestCase):\n    n_parallel = 1\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    job_7 = Job(\"task8.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n    job_7.jid = 2\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n    val = 0\n    mult_res_labels = [\"x\", \"y\"]\n    eid = 2\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n        self.connector = get_default_connector(self.auppath)\n        self.rm = CPUResourceManager(self.connector, self.n_parallel,\n                                    eid=self.eid, multi_res_labels=self.mult_res_labels)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        os.remove(self.bk_db)\n\n    def test_normal_path(self):\n        self.val = 0\n\n        def callback(*args):\n            self.val = args\n\n        self.connector.start_experiment('test', 'test', '{}')\n\n        curr_rid = self.rm.get_available(\"test\", \"cpu\")\n        self.connector.start_job(self.eid, curr_rid, self.job_7.config)\n        self.rm.run_job(self.job_7, self.rm.get_available(\"test\", \"cpu\"), {}, callback)\n\n        self.rm.finish()\n\n        self.connector.cursor.execute(\"SELECT * FROM multiple_result WHERE jid=2 order by label_order\")\n        res = self.connector.cursor.fetchall()\n\n        self.assertEqual(self.val, (6.0, 2))\n\n        self.assertEqual(res[0][1], 1)\n        self.assertEqual(res[1][1], 2)\n        self.assertEqual(res[0][2], 7)\n        self.assertEqual(res[1][2], 8)\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/EE/Resource/test_GPUResourceManager.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport os\nimport unittest\nfrom shutil import copyfile\nimport time\n\nfrom aup import BasicConfig\nfrom aup.EE.Job import Job\nfrom aup.EE.Resource.GPUResourceManager import GPUResourceManager\nfrom aup.utils import get_default_connector\n\n\nclass GPUResourceManagerTestCase(unittest.TestCase):\n    n_parallel = 1\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    connector = get_default_connector(auppath)\n    val = 0\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n    job = Job(\"test_Job.py\", BasicConfig(), \"./tests/EE\")\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n        self.connector = get_default_connector(self.auppath)\n        self.rm = GPUResourceManager(self.connector, self.n_parallel, auppath=self.auppath, eid=1)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        os.remove(self.bk_db)\n\n    def test_run(self):\n        def callback(*args):\n            self.val = -1\n\n        self.rm.run(self.job, self.rm.get_available(\"test\", \"gpu\"), {}, callback)\n        self.rm.finish()\n\n        self.assertEqual(self.val, -1)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/EE/Resource/test_PassiveResourceManager.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport os\nimport unittest\nfrom shutil import copyfile\n\nfrom aup import BasicConfig\nfrom aup.EE.Job import Job\nfrom aup.EE.Resource.PassiveResourceManager import PassiveResourceManager\nfrom aup.utils import get_default_connector\n\n\nclass PassiveRMTestCase(unittest.TestCase):\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    job = Job(\"task1.py\", BasicConfig(), \"./tests/EE\")\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n    val = 0\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n        self.connector = get_default_connector(self.auppath)\n        self.rm = PassiveResourceManager(self.connector, 1)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        os.remove(self.bk_db)\n\n    def test_get_available(self):\n        self.assertEqual(11, self.rm.get_available(\"test\", \"passive\"))\n        self.connector.take_available_resource(11)\n        self.assertEqual(None, self.rm.get_available(\"test\", \"passive\"))\n        self.rm.running = True\n        self.assertEqual(None, self.rm.get_available(\"test\", \"passive\"))\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/EE/Resource/test_SSHResourceManager.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\n\nimport unittest\nimport mockssh\nimport tempfile\nimport pdb\nfrom shutil import copyfile\nfrom time import sleep\nfrom six import PY2\n\nimport pkg_resources\n\nfrom aup.EE.Resource.SSHResourceManager import *\nfrom aup.EE.Job import Job\nfrom aup import BasicConfig\nfrom aup.Proposer import RandomProposer as rp\nfrom aup.utils import get_default_connector\nfrom threading import Lock\n\n@unittest.skipIf(PY2, \"mockssh and paramiko do not support python 2.7\")\nclass SSHResourceManagerTestCase(unittest.TestCase):\n\n    def test_parse_hostname(self):\n        self.assertRaises(ValueError, parse_hostname, \"testip\")\n        self.assertRaises(Exception, parse_hostname, \"a@b:cc\")\n\n        self.assertRaises(IOError, parse_hostname, \"a@b non-file\")\n        self.assertTupleEqual(('a', 'b', 22, None), parse_hostname(\"a@b\"))\n\n    def test_ssh_session(self):\n        pkey = pkg_resources.resource_filename(\"mockssh\", 'server-key')\n        data_folder = pkg_resources.resource_filename(__name__, 'data')\n        users = {\n            \"mockuser\": pkey,\n        }\n        scores = {}\n        mutex = Lock()\n\n        config = {  'workingdir': data_folder,\n                    'n_parallel': 2,\n                    'resource': 'node',\n                    'proposer': 'random',\n                    'script': os.path.join(data_folder,\"script\",\"rosenbrock_hpo.py\"),\n                    'n_samples': 10,\n                    'random_seed': 10,\n                    'parameter_config': [{'name': 'x', 'type': 'float', 'range': [-5, 5]},\n                                        {'name': 'y', 'type': 'float', 'range': [-5, 5]}],\n                    \"runtime_args\": {\n                        \"prescript\": \"export CUDA_VISIBLE_DEVICES=-1\",\n                        \"postscript\": \"echo $CUDA_VISIBLE_DEVICES\",\n                        \"overwrite\": 'true'\n                    }\n                }\n        m = rp.RandomProposer(config)\n\n        def callback_fun(score, jid):\n            mutex.acquire()\n            scores[jid] = score\n            mutex.release()\n\n        server1 = mockssh.Server(users)\n        server1.__enter__()\n\n        server2 = mockssh.Server(users)\n        server2.__enter__()\n\n        mngr = SSHResourceManager(None, config['n_parallel'], auppath=data_folder,\n                                    reconn_wait_time=3, max_retries=3)\n        mngr.mapping[1] = \"mockuser@127.0.0.1:\" + str(server1.port) + \" \" + pkey\n        mngr.mapping[2] = \"mockuser@127.0.0.1:\" + str(server2.port) + \" \" + pkey\n\n        for i in range(0, config['n_samples'], 2):\n            proposal = m.get()\n            job1 = Job(config['script'], BasicConfig(**proposal), config['workingdir'])\n            job1.jid = i\n            mngr.run(job1, 1, None, callback_fun, overwrite=True)\n\n            proposal = m.get()\n            job2 = Job(config['script'], BasicConfig(**proposal), config['workingdir'])\n            job2.jid = i+1\n            mngr.run(job2, 2, None, callback_fun, overwrite=True)\n\n        mngr.executor.shutdown(wait=True)\n\n        for key in scores:\n            self.assertTrue(scores[key] != \"ERROR\")\n\n    def test_recover_ssh_session(self):\n        pkey = pkg_resources.resource_filename(\"mockssh\", 'server-key')\n        data_folder = pkg_resources.resource_filename(__name__, 'data')\n        users = {\n            \"mockuser\": pkey,\n        }\n        scores = {}\n        mutex = Lock()\n\n        config = {  'workingdir': data_folder,\n                    'n_parallel': 1,\n                    'resource': 'node',\n                    'proposer': 'random',\n                    'script': os.path.join(data_folder,\"script\",\"rosenbrock_hpo.py\"),\n                    'n_samples': 10,\n                    'random_seed': 10,\n                    'parameter_config': [{'name': 'x', 'type': 'float', 'range': [-5, 5]},\n                                        {'name': 'y', 'type': 'float', 'range': [-5, 5]}],\n                    \"runtime_args\": {\n                        \"prescript\": \"export CUDA_VISIBLE_DEVICES=-1\",\n                        \"postscript\": \"echo $CUDA_VISIBLE_DEVICES\",\n                        \"overwrite\": 'true'\n                    }\n                }\n        m = rp.RandomProposer(config)\n\n        def callback_fun(score, jid):\n            mutex.acquire()\n            scores[jid] = score\n            mutex.release()\n\n        server1 = mockssh.Server(users)\n        server1.__enter__()\n\n        mngr = SSHResourceManager(None, config['n_parallel'], auppath=data_folder,\n                                        reconn_wait_time=5, max_retries=5)\n        mngr.mapping[1] = \"mockuser@127.0.0.1:\" + str(server1.port) + \" \" + pkey\n\n        for i in range(config['n_samples']):\n            proposal = m.get()\n            job1 = Job(config['script'], BasicConfig(**proposal), config['workingdir'])\n            job1.jid = i\n            mngr.run(job1, 1, None, callback_fun, overwrite=True)\n\n            if i == int(config['n_samples'] / 2):\n                # drop server and check after reopen it if we recover\n                server1.__exit__()\n                del server1\n                sleep(7)\n                server1 = mockssh.Server(users)\n                server1.__enter__()\n                mngr.mapping[1] = \"mockuser@127.0.0.1:\" + str(server1.port) + \" \" + pkey\n        for key in scores:\n            self.assertTrue(scores[key] != \"ERROR\")\n\nclass SSHResourceManagerEarlyStopTestCase(unittest.TestCase):\n    n_parallel = 1\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    workingdir = os.path.join(\"tests\", \"data\")\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n    val = 0\n    pkey = pkg_resources.resource_filename(\"mockssh\", 'server-key')\n    users = {\"mockuser\": pkey}\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n        self.connector = get_default_connector(self.auppath)\n        self.rm = SSHResourceManager(self.connector, self.n_parallel, \n                                     track_intermediate_results=True,\n                                     early_stop={\"aup_policy\": \"median\",\n                                                \"aup_policy_steps\": 2},\n                                     eid=1, auppath=self.auppath)\n        self.server = mockssh.Server(self.users).__enter__()\n        self.rm.mapping[1] = \"mockuser@127.0.0.1:\" + str(self.server.port) + \" \" + self.pkey\n        self.val = 0\n\n    def tearDown(self):\n        self.server.__exit__()\n        copyfile(self.bk_db, self.ori_db)\n        os.remove(self.bk_db)\n\n    def test_early_stop_median(self):\n        mutex = Lock()\n        def callback(*args):\n            mutex.acquire()\n            self.val = -1\n            mutex.release()\n\n        self.rm.policy = \"median\"\n        job_5 = Job(\"task5.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n        job_5.jid = 1\n        self.rm.run_job(job_5, 1, {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n\n        self.rm.executor.shutdown(wait=True)\n\n    def test_early_stop_bandit(self):\n        mutex = Lock()\n        def callback(*args):\n            mutex.acquire()\n            self.val = -1\n            mutex.release()\n\n        self.rm.policy = \"bandit\"\n        job_5 = Job(\"task5.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n        job_5.jid = 1\n        self.rm.run_job(job_5, 1, {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n\n    def test_early_stop_truncation(self):\n        mutex = Lock()\n        def callback(*args):\n            mutex.acquire()\n            self.val = -1\n            mutex.release()\n\n        self.rm.policy = \"truncation\"\n        job_5 = Job(\"task5.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n        job_5.jid = 1\n        self.rm.run_job(job_5, 1, {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n\nclass AsyncSSHResourceManagerTestCase(unittest.TestCase):\n    def test_parse_hostname(self):\n        self.assertRaises(ValueError, parse_hostname, \"testip\")\n        self.assertRaises(Exception, parse_hostname, \"a@b:cc\")\n\n        self.assertRaises(IOError, parse_hostname, \"a@b non-file\")\n        self.assertTupleEqual(('a', 'b', 22, None), parse_hostname(\"a@b\"))\n\n    def test_async_ssh_session(self):\n        pkey = pkg_resources.resource_filename(\"mockssh\", 'server-key')\n        data_folder = pkg_resources.resource_filename(__name__, 'data')\n        users = {\n            \"mockuser\": pkey,\n        }\n        scores = {}\n        mutex = Lock()\n\n        config = {  'workingdir': data_folder,\n                    'n_parallel': 2,\n                    'resource': 'node',\n                    'proposer': 'random',\n                    'script': os.path.join(data_folder,\"script\",\"rosenbrock_hpo.py\"),\n                    'n_samples': 10,\n                    'random_seed': 10,\n                    'parameter_config': [{'name': 'x', 'type': 'float', 'range': [-5, 5]},\n                                        {'name': 'y', 'type': 'float', 'range': [-5, 5]}],\n                    \"runtime_args\": {\n                        \"prescript\": \"export CUDA_VISIBLE_DEVICES=-1\",\n                        \"postscript\": \"echo $CUDA_VISIBLE_DEVICES\",\n                        \"overwrite\": 'true'\n                    },\n                    \"resource_args\": {\n                        \"async_run\": 'true',\n                        \"async_reconnect\": 1\n                    }\n                }\n        m = rp.RandomProposer(config)\n\n        def callback_fun(score, jid):\n            mutex.acquire()\n            scores[jid] = score\n            mutex.release()\n\n        with mockssh.Server(users) as server1, mockssh.Server(users) as server2:\n\n            mngr = SSHResourceManager(None, config['n_parallel'], auppath=data_folder, async_reconnect=1, async_run=True)\n            mngr.mapping[1] = \"mockuser@127.0.0.1:\" + str(server1.port) + \" \" + pkey\n            mngr.mapping[2] = \"mockuser@127.0.0.1:\" + str(server2.port) + \" \" + pkey\n\n            for i in range(0, config['n_samples'], 2):\n                proposal = m.get()\n                job1 = Job(config['script'], BasicConfig(**proposal), config['workingdir'])\n                job1.jid = i\n                mngr.run(job1, 1, None, callback_fun, overwrite=True)\n\n                proposal = m.get()\n                job2 = Job(config['script'], BasicConfig(**proposal), config['workingdir'])\n                job2.jid = i+1\n                mngr.run(job2, 2, None, callback_fun, overwrite=True)\n\n            mngr.executor.shutdown(wait=True)\n\n        for key in scores:\n            self.assertTrue(scores[key] != \"ERROR\")\n\n    def test_async_recover_ssh_session(self):\n        pkey = pkg_resources.resource_filename(\"mockssh\", 'server-key')\n        data_folder = pkg_resources.resource_filename(__name__, 'data')\n        users = {\n            \"mockuser\": pkey,\n        }\n        scores = {}\n        mutex = Lock()\n\n        config = {  'workingdir': data_folder,\n                    'n_parallel': 1,\n                    'resource': 'node',\n                    'proposer': 'random',\n                    'script': os.path.join(data_folder,\"script\",\"rosenbrock_hpo.py\"),\n                    'n_samples': 4,\n                    'random_seed': 10,\n                    'parameter_config': [{'name': 'x', 'type': 'float', 'range': [-5, 5]},\n                                        {'name': 'y', 'type': 'float', 'range': [-5, 5]}],\n                    \"runtime_args\": {\n                        \"prescript\": \"export CUDA_VISIBLE_DEVICES=-1\",\n                        \"postscript\": \"echo $CUDA_VISIBLE_DEVICES\",\n                        \"overwrite\": 'true'\n                    },\n                    \"resource_args\": {\n                        \"async_run\": 'true',\n                        \"async_reconnect\": 1\n                    }\n                }\n        m = rp.RandomProposer(config)\n\n        def callback_fun(score, jid):\n            mutex.acquire()\n            scores[jid] = score\n            mutex.release()\n\n        server1 = mockssh.Server(users).__enter__()\n\n        mngr = SSHResourceManager(None, config['n_parallel'], auppath=data_folder,\n                                  async_reconnect=1,\n                                  reconn_wait_time=1, max_retries=5, async_run=True)\n        mngr.mapping[1] = \"mockuser@127.0.0.1:\" + str(server1.port) + \" \" + pkey\n\n        for i in range(config['n_samples']):\n            proposal = m.get()\n            job1 = Job(config['script'], BasicConfig(**proposal), config['workingdir'])\n            job1.jid = i\n            mngr.run(job1, 1, None, callback_fun, overwrite=True)\n\n            if i == int(config['n_samples'] / 2):\n                # drop server and check after reopen it if we recover\n                server1.__exit__()\n                del server1\n                sleep(2)\n                server1 = mockssh.Server(users).__enter__()\n                mngr.mapping[1] = \"mockuser@127.0.0.1:\" + str(server1.port) + \" \" + pkey\n\n        mngr.executor.shutdown(wait=True)\n\n        for key in scores:\n            self.assertTrue(scores[key] != \"ERROR\")\n\nclass AsyncSSHResourceManagerEarlyStopTestCase(unittest.TestCase):\n    n_parallel = 1\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    workingdir = os.path.join(\"tests\", \"data\")\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n    val = 0\n    pkey = pkg_resources.resource_filename(\"mockssh\", 'server-key')\n    users = {\"mockuser\": pkey}\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n        self.connector = get_default_connector(self.auppath)\n        self.rm = SSHResourceManager(self.connector, self.n_parallel, \n                                     track_intermediate_results=True,\n                                     early_stop={\"aup_policy\": \"median\",\n                                                \"aup_policy_steps\": 2},\n                                     eid=1, async_reconnect=1, reconn_wait_time=1,\n                                     auppath=self.auppath,\n                                     async_run=True)\n        self.server = mockssh.Server(self.users).__enter__()\n        self.rm.mapping[1] = \"mockuser@127.0.0.1:\" + str(self.server.port) + \" \" + self.pkey\n        self.val = 0\n\n    def tearDown(self):\n        self.server.__exit__()\n        copyfile(self.bk_db, self.ori_db)\n        os.remove(self.bk_db)\n\n    def test_early_stop_median(self):\n        mutex = Lock()\n        def callback(*args):\n            mutex.acquire()\n            self.val = -1\n            mutex.release()\n\n        self.rm.policy = \"median\"\n        job_5 = Job(\"task5.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n        job_5.jid = 1\n        self.rm.run_job(job_5, 1, {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n\n    def test_early_stop_bandit(self):\n        mutex = Lock()\n        def callback(*args):\n            mutex.acquire()\n            self.val = -1\n            mutex.release()\n\n        self.rm.policy = \"bandit\"\n        job_5 = Job(\"task5.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n        job_5.jid = 1\n        self.rm.run_job(job_5, 1, {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n\n    def test_early_stop_truncation(self):\n        mutex = Lock()\n        def callback(*args):\n            mutex.acquire()\n            self.val = -1\n            mutex.release()\n\n        self.rm.policy = \"truncation\"\n        job_5 = Job(\"task5.py\", BasicConfig({\"x\":5}), \"./tests/data\")\n        job_5.jid = 1\n        self.rm.run_job(job_5, 1, {}, callback)\n        self.rm.finish()\n\n        self.assertDictEqual(self.rm.interm_job_res, {1: [6.0, 7.0, 8.0, 9.0, 10.0, 11.0]})\n        self.assertEqual(self.val, -1)\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/EE/__init__.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nAPI\n===\n\"\"\"\nimport logging\n\nlogger = logging.getLoggerClass()\n"
  },
  {
    "path": "tests/EE/test_Experiment.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nimport os\nfrom shutil import copyfile, rmtree\n\nfrom aup import Experiment, BasicConfig\nfrom aup.compression.utils import adjust_compression_config\n\n\nclass ExperimentTestCase(unittest.TestCase):\n    path = os.path.join(\"tests\", \"data\", \"exp5.json\")\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        # clean test files\n        os.remove(self.bk_db)\n        if os.path.isfile(os.path.join(os.getcwd(), \"exp2.pkl\")):\n            os.remove(os.path.join(os.getcwd(), \"exp2.pkl\"))\n        rmtree(os.path.join(\"tests\", \"jobs\"))\n\n    def test_run_through(self):\n        exp = Experiment(BasicConfig().load(self.path),\n                         username=\"test\", auppath=self.auppath)\n\n        exp.start()\n        exp.finish()\n        self.assertDictEqual(exp.pending_jobs, {})\n\n    def test_job_retries(self):\n        exp = Experiment(BasicConfig().load(os.path.join(\"tests\", \"data\", \"exp6.json\")),\n                         username=\"test\", auppath=os.path.join(\"tests\", \"data\", \".aup\"))\n        exp.start()\n        jid, val = exp.finish()\n        self.assertDictEqual(exp.pending_jobs, {})\n        self.assertEqual(jid, 10)\n\n\nclass ExperimentCompressionTest(unittest.TestCase):\n    path = os.path.join(\"tests\", \"data\", \"exp7.json\")\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        # clean test files\n        os.remove(self.bk_db)\n        if os.path.isfile(os.path.join(os.getcwd(), \"exp2.pkl\")):\n            os.remove(os.path.join(os.getcwd(), \"exp2.pkl\"))\n        rmtree(os.path.join(\"tests\", \"jobs\"))\n\n    def test_run_through(self):\n        exp_config = BasicConfig().load(self.path)\n        exp_config[\"compression\"] = adjust_compression_config(exp_config[\"compression\"])\n        exp = Experiment(exp_config,\n                         username=\"test\", auppath=self.auppath)\n\n        exp.start()\n        exp.finish()\n        self.assertDictEqual(exp.pending_jobs, {})\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/EE/test_Job.py",
    "content": "#!/usr/bin/env python\n\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nfrom unittest import TestCase\n\nimport logging\nimport os\nimport shutil\n\nfrom aup.EE.Job import Job\n\nlogging.disable(logging.FATAL)\n\n\nclass JobTestCase(TestCase):\n    def setUp(self):\n        self.path = os.path.join(\"tests\", \"EE\")\n        shutil.rmtree(os.path.join(self.path, \"jobs\"), ignore_errors=True)\n\n    def test_verify_folder(self):\n        job = Job(\"test_Job.py\", {}, self.path)\n        self.assertTrue(job.verify_local())  # working demo\n\n        job = Job(\"missing_script\", {}, self.path)\n        self.assertRaises(EnvironmentError, job.verify_local)  # missing script\n\n        job = Job(\"__init__.py\", {}, self.path)\n        self.assertRaises(EnvironmentError, job.verify_local)  # not executable\n\n        job = Job(\"test_Job.py\", {}, os.path.join(\"tests\", \"data\", \"wrong\"))\n        self.assertRaises(EnvironmentError, job.verify_local)\n\n\nif __name__ == \"__main__\":\n    from aup.utils import print_result\n    print_result(\"10.\")\n"
  },
  {
    "path": "tests/ET/Connector/__init__.py",
    "content": ""
  },
  {
    "path": "tests/ET/Connector/test_SQLiteConnector.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport os\nimport sqlite3\nimport unittest\nfrom six.moves import configparser\n\nfrom aup.ET.Connector.SQLiteConnector import SQLiteConnector\nfrom aup.setupdb import sqlite\n\n\nclass SQLiteConnectorTestCase(unittest.TestCase):\n    db_file = os.path.join(\"tests\", \"data\", \"sqlite3.db\")\n    config = configparser.ConfigParser()\n    config.add_section(\"Auptimizer\")\n    config.set(\"Auptimizer\", \"SQLITE_FILE\", db_file)\n    config.set(\"Auptimizer\", \"gpu_mapping\", \"\"\"{\"1\": 0, \"2\": 1}\"\"\")\n    username = \"test\"\n    name = \"unittest\"\n\n    def setUp(self):\n        sqlite.create_database(self.config, [self.name], 1, self.username)\n\n    def tearDown(self):\n        os.remove(self.db_file)\n\n    def test_resource(self):\n        \"\"\"Test resource allocation\"\"\"\n        connector = SQLiteConnector(self.db_file)\n        self.assertListEqual(connector.get_resource_type(), [u'gpu', u'cpu', u'passive'])\n\n        rids = connector.get_available_resource(self.username, 'gpu')\n        self.assertEqual({1, 2}, set(rids))\n\n        connector.take_available_resource(1)\n        rids = connector.get_available_resource(self.username, 'gpu')\n        self.assertEqual({2}, set(rids))\n\n        connector.free_used_resource(1)\n        rids = connector.get_available_resource(self.username, 'gpu')\n        self.assertEqual({1, 2}, set(rids))\n\n        connector.take_available_resource(2)\n        connector.take_available_resource(1)\n        rids = connector.get_available_resource(self.username, 'gpu')\n        self.assertEqual(set([]), set(rids))\n\n        connector.free_used_resource(1)\n        connector.free_used_resource(2)\n        rids = connector.get_available_resource(self.username, 'gpu')\n        self.assertEqual({1, 2}, set(rids))\n        connector.close()\n\n    def test_experiment(self):\n        \"\"\"test experiment start and stop\"\"\"\n        connector = SQLiteConnector(self.db_file)\n        eid1 = connector.start_experiment(self.name, \"exp1\", '{}')\n        eid2 = connector.start_experiment(self.name, \"exp2\", '{}')\n        connector.end_experiment(eid1)\n        connector.end_experiment(eid2)\n\n        eids = connector.get_all_experiment(username=self.name)\n        self.assertListEqual(eids, [1, 2])\n\n        eids = connector.get_all_experiment()\n        self.assertListEqual(eids, [1, 2])\n\n        self.assertRaises(ValueError, connector.get_all_experiment, \"not-exist\")\n\n    def test_job(self):\n        \"\"\"test job start and stop\"\"\"\n        connector = SQLiteConnector(self.db_file)\n        eid = connector.start_experiment(self.name, 'exp1', '{}')\n        rid = 1\n        jid1 = connector.job_started(eid, rid, \"job1\")\n        jid2 = connector.job_started(eid, rid, \"job1\")\n\n        self.assertListEqual(connector.get_running_job(eid), [jid1, jid2])\n\n        connector.job_finished(eid, jid2, -100.)\n        connector.job_finished(eid, jid1, 100.)\n\n        self.assertRaises(sqlite3.IntegrityError, connector.job_started,1, 20, \"job2\")\n        self.assertListEqual(connector.get_best_result(1, maximize=True), [jid1, 100.])\n        self.assertListEqual(connector.get_best_result(1, maximize=False), [jid2, -100.])\n        connector.close()\n\n    def test_reset(self):\n        connector = SQLiteConnector(self.db_file)\n        eid = connector.start_experiment(self.name, 'exp1', '{}')\n        rids = connector.get_available_resource(self.username, 'gpu')\n        self.assertEqual({1, 2}, set(rids))\n        jid = connector.job_started(eid, 1, \"job1\")\n        connector.get_available_resource(self.username, \"gpu\")\n        sqlite.reset(self.config)\n        self.assertEqual({1, 2}, set(rids))\n        r_jid = connector.get_all_history(1)[0][0]\n        self.assertEqual(r_jid, jid)\n\n    def test_job_attempt(self):\n        \"\"\" Tests SQLiteConnector.start_job_attempt and SQLiteConnector.end_job_attempt\"\"\"\n        rid = 1\n        connector = SQLiteConnector(self.db_file)\n        eid = connector.start_experiment(self.name, 'test', '{}')\n        jid = connector.job_started(eid, rid, \"job1\")\n        connector.end_job_attempt(jid)\n\n        connector.cursor.execute(\"SELECT jaid, jid, num, rid, start_time, end_time FROM job_attempt;\")\n        res = connector.cursor.fetchall()\n        self.assertEqual(len(res), 1)\n        self.assertEqual(res[0][1], 1)\n        self.assertEqual(res[0][2], 0)\n        self.assertEqual(res[0][3], rid)\n        self.assertNotEqual(res[0][-1], None)\n\n        connector.cursor.execute(\"SELECT jid, end_time FROM job;\")\n        res = connector.cursor.fetchall()\n        self.assertEqual(len(res), 1)\n        self.assertEqual(res[0][-1], None)\n\n        connector.job_finished(eid, jid, -100.)\n        connector.close()\n\n    def test_get_available_resource(self):\n        \"\"\"Tests SQLiteConnector.get_available_resource\"\"\"\n        rid = 1\n        connector = SQLiteConnector(self.db_file)\n        rids = connector.get_available_resource(\"test\", \"cpu\")\n        self.assertGreaterEqual(len(rids), 1)\n        rids1 = connector.get_available_resource(\"test\", \"cpu\", rids[:-1])\n        self.assertEqual(len(rids1), 1)\n        rids2 = connector.get_available_resource(\"test\", \"cpu\", rids)\n        self.assertEqual(len(rids), 1)\n\n        def test_save_intermediate_result(self):\n            \"\"\"Test saving of intermediate results\"\"\"\n        connector = SQLiteConnector(self.db_file)\n        eid = connector.start_experiment(self.name, 'test', '{}')\n        rid = 1\n        jid1 = connector.job_started(eid, rid, \"job1\")\n\n        self.assertListEqual(connector.get_running_job(eid), [jid1])\n\n        connector.save_intermediate_result(jid1, -50.0)\n        connector.save_intermediate_result(jid1, -75.0)\n        connector.save_intermediate_result(jid1, -100.0)\n        connector.job_finished(eid, jid1, -100.)\n\n        connector.cursor.execute(\"SELECT num, score FROM intermediate_result WHERE jid=? ORDER BY num ASC;\", (jid1,))\n        irs = connector.cursor.fetchall()\n        self.assertEqual(len(irs), 3)\n        self.assertEqual(irs[0][0], 0)\n        self.assertEqual(irs[1][0], 1)\n        self.assertEqual(irs[2][0], 2)\n        self.assertEqual(irs[0][1], -50.0)\n        self.assertEqual(irs[1][1], -75.0)\n        self.assertEqual(irs[2][1], -100.0)\n        connector.close()\n\n    def test_get_intermediate_results_job(self):\n        \"\"\"Test for getting intermediate results for a given job\"\"\"\n        connector = SQLiteConnector(self.db_file)\n        eid = connector.start_experiment(self.name, 'exp1', '{}')\n        rid = 1\n        jid1 = connector.job_started(eid, rid, \"job1\")\n\n        self.assertListEqual(connector.get_running_job(eid), [jid1])\n\n        connector.save_intermediate_result(jid1, -50.0)\n        connector.save_intermediate_result(jid1, -75.0)\n        connector.save_intermediate_result(jid1, -100.0)\n        connector.job_finished(eid, jid1, -100.)\n        \n        ir = connector.get_intermediate_results_job(jid1)\n        self.assertEqual(len(ir), 3)\n        self.assertEqual(ir[0], -50.)\n        self.assertEqual(ir[1], -75.)\n        self.assertEqual(ir[2], -100.)\n\n    def test_get_intermediate_results_jobs(self):        \n        \"\"\"Test for getting intermediate results for some given jobs\"\"\"\n        connector = SQLiteConnector(self.db_file)\n        eid = connector.start_experiment(self.name, 'exp1', '{}')\n        jid1 = connector.job_started(eid, 1, \"job1\")\n        jid2 = connector.job_started(eid, 2, \"job2\")\n\n        self.assertListEqual(connector.get_running_job(eid), [jid1, jid2])\n\n        connector.save_intermediate_result(jid1, -50.0)\n        connector.save_intermediate_result(jid1, -75.0)\n        connector.save_intermediate_result(jid1, -100.0)\n        connector.job_finished(eid, jid1, -100.)\n        \n        connector.save_intermediate_result(jid2, 50.0)\n        connector.save_intermediate_result(jid2, 75.0)\n        connector.save_intermediate_result(jid2, 100.0)\n        connector.job_finished(eid, jid2, 100.)\n        \n        ir = connector.get_intermediate_results_jobs([jid1, jid2])\n        self.assertEqual(len(ir), 2)\n        self.assertEqual(len(ir[jid1]), 3)\n        self.assertEqual(ir[jid1][0], -50.)\n        self.assertEqual(ir[jid1][1], -75.)\n        self.assertEqual(ir[jid1][2], -100.)\n        self.assertEqual(len(ir[jid2]), 3)\n        self.assertEqual(ir[jid2][0], 50.)\n        self.assertEqual(ir[jid2][1], 75.)\n        self.assertEqual(ir[jid2][2], 100.)\n\n    def test_get_intermediate_results_experiment(self):\n        \"\"\"Test for getting intermediate results for a given experiment\"\"\"\n        connector = SQLiteConnector(self.db_file)\n        eid = connector.start_experiment(self.name, 'exp1', '{}')\n        jid1 = connector.job_started(eid, 1, \"job1\")\n        jid2 = connector.job_started(eid, 2, \"job2\")\n\n        self.assertListEqual(connector.get_running_job(eid), [jid1, jid2])\n\n        connector.save_intermediate_result(jid1, -50.0)\n        connector.save_intermediate_result(jid1, -75.0)\n        connector.job_finished(eid, jid1, -75, status=\"EARLY_STOPPED\")\n        \n        connector.save_intermediate_result(jid2, 50.0)\n        connector.save_intermediate_result(jid2, 75.0)\n        connector.save_intermediate_result(jid2, 100.0)\n        connector.job_finished(eid, jid2, 100., status=\"FINISHED\")\n        \n        ir = connector.get_intermediate_results_experiment(eid, status=\"FINISHED\")\n        self.assertEqual(len(ir), 1)\n        self.assertEqual(ir.get(jid1, None), None)\n        self.assertNotEqual(ir.get(jid2, None), None)\n        self.assertEqual(len(ir[jid2]), 3)\n        self.assertEqual(ir[jid2][0], 50.)\n        self.assertEqual(ir[jid2][1], 75.)\n        self.assertEqual(ir[jid2][2], 100.)\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/ET/__init__.py",
    "content": ""
  },
  {
    "path": "tests/Proposer/__init__.py",
    "content": ""
  },
  {
    "path": "tests/Proposer/test_AbstractProposer.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom aup.Proposer import AbstractProposer as AP\n\n\nclass AbstractTestCase(unittest.TestCase):\n    def test_create_param_config(self):\n        self.assertRaises(ValueError, AP.create_param_config, 'name', [0, 1], 'wrong_type')\n        self.assertRaises(ValueError, AP.create_param_config, 'name', [0, 1, 2], 'int')\n        self.assertRaises(ValueError, AP.create_param_config, 'name', [0], 'float')\n        self.assertDictEqual(AP.create_param_config('v1', [0, 1], 'float'),\n                             {'name': 'v1', 'range': [0, 1], 'type': 'float'})"
  },
  {
    "path": "tests/Proposer/test_BOHBProposer.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nfrom aup.EE.Job import Job\nfrom unittest import TestCase, skipIf\nfrom six import PY2, PY3\n\n\n# @skipIf(PY2, \"BOHB is not supported in Python2\")\n@skipIf(PY3, \"BOHB test not supported in travis environment\")\nclass BOHBTestCase(TestCase):\n    config = [{\"name\": \"choice\", \"range\": (1, 2, 3), \"type\": \"choice\"},\n              {\"name\": \"float\", \"range\": [0, 1], \"type\": \"float\"},\n              {\"name\": \"int\", \"range\": [1, 10], \"type\": \"int\"}]\n\n    def test_create_configspace(self):\n        from aup.Proposer import BOHBProposer as bohb\n        cs = bohb.BOHBProposer.create_configspace(self.config)\n        c = cs.get_hyperparameter('choice')\n        self.assertTupleEqual(c.choices, self.config[0]['range'])\n\n        for i in range(10):\n            cf = cs.sample_configuration()\n            v = cf.get('float')\n            self.assertTrue(0 <= v <= 1)\n            self.assertIsInstance(v, float)\n\n            v = cf.get('int')\n            self.assertTrue(0 <= v <= 10)\n            self.assertIsInstance(v, int)\n\n            v = cf.get('choice')\n            self.assertTrue(v in (1, 2, 3))\n\n    def test_nsample(self):\n        from aup.Proposer import BOHBProposer as bohb\n        proposer = bohb.BOHBProposer({\"parameter_config\":self.config,\"target\":\"min\"})\n        self.assertEqual(proposer.nSamples, 182)\n\n    def test_param(self):\n        from aup.Proposer import BOHBProposer as bohb\n        from aup.EE.Job import Job\n        proposer = bohb.BOHBProposer({\"parameter_config\": self.config, \"target\": \"min\",\n                                      \"n_iterations\":2, 'max_budget':3})\n\n        for i in range(proposer.nSamples):\n            config = proposer.get_param()\n            self.assertTrue(0 <= config['float'] <= 1)\n            self.assertTrue(0 <= config['int'] <= 10)\n            self.assertTrue(config['choice'] in (1,2,3))\n            job = Job('.', config)\n            proposer.update(0, job)\n\n        self.assertIsNone(proposer.get_param())\n\n    def test_failed(self):\n        from aup.Proposer import BOHBProposer as bohb\n        proposer = bohb.BOHBProposer({\"parameter_config\": self.config, \"target\": \"min\",\n                                      \"n_iterations\":2, 'max_budget':3})\n        try:\n            proposer.failed(Job(\"none\", {\"tid\": 1}))\n            self.assertTrue(False)\n        except NotImplementedError:\n            pass\n"
  },
  {
    "path": "tests/Proposer/test_HyperbandProposer.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\n\nfrom aup.EE.Job import Job\nfrom aup.Proposer import HyperbandProposer as hp\n\n\nclass HyperbandTestCase(unittest.TestCase):\n    def setUp(self):\n        self.pc = {\n            \"proposer\": \"spearmint\",\n            \"n_samples\": 10,\n            \"grid_size\": 200,\n            \"target\": \"min\",\n            \"parameter_config\": [\n                {\"name\": \"x\", \"type\": \"float\", \"range\": [1, 10]},\n                {\"name\": \"y\", \"type\": \"int\", \"range\": [1, 10]},\n                {\"name\": \"z\", \"type\": \"choice\", \"range\": [1, 2, 10]}\n            ]\n        }\n\n    def test_hp(self):\n        p = hp.HyperbandProposer(self.pc)\n        for j in range(3):\n            tid = []\n            for i in range(100):\n                v = p.get()\n                if v:\n                    tid.append(v['tid'])\n            for i in tid:\n                job = Job(\"none\", {\"tid\": i})\n                p.update(0.1, job)\n\n        self.assertRaises(NotImplementedError, p.save, '')\n        self.assertRaises(NotImplementedError, p.reload, '')\n\n    def test_hp_min(self):\n        self.pc['target'] = 'max'\n        p = hp.HyperbandProposer(self.pc)\n        for j in range(6):\n            tid = []\n            for i in range(100):\n                v = p.get()\n                if v:\n                    tid.append(v['tid'])\n            for i in tid:\n                job = Job(\"none\", {\"tid\": i})\n                p.update(0.1, job)\n\n    def test_no_implemented(self):\n        self.pc['parameter_config'][0]['name'] = 'tid'\n        self.assertRaises(KeyError, hp.HyperbandProposer, self.pc)\n        \n    def test_failed(self):\n        p = hp.HyperbandProposer(self.pc)\n        try:\n            p.failed(Job(\"none\", {\"tid\": 1}))\n            self.assertTrue(False)\n        except NotImplementedError:\n            pass\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/Proposer/test_HyperoptProposer.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\n\nimport os\nimport tempfile\n\nfrom aup.EE.Job import Job\nfrom aup.Proposer import HyperoptProposer as hp\n\n\nclass HyperOptTestCase(unittest.TestCase):\n    def setUp(self):\n        self.pc = {\n            \"proposer\": \"hyperopt\",\n            \"n_samples\": 10,\n            \"engine\": \"tpe\",\n            \"target\": \"min\",\n            \"parameter_config\": [\n                {\"name\": \"x\", \"range\": [0, 1], \"type\": \"int\"},\n                {\"name\": \"y\", \"range\": [0, 1.], \"type\": \"float\"},\n                {\"name\": \"z\", \"range\": [0, 1.], \"type\": \"choice\"}\n\n            ]\n        }\n\n    def test_init(self):\n        hp.HyperoptProposer(self.pc)\n        self.pc['parameter_config'][0]['type'] = 'wrong'\n        self.assertRaises(KeyError, hp.HyperoptProposer, self.pc)\n        self.pc['parameter_config'][0]['type'] = 'float'\n\n    def test_verify_config(self):\n        self.pc['parameter_config'][0]['name'] = 'tid'\n        self.assertRaises(KeyError, hp.HyperoptProposer, self.pc)\n\n    def test_runtime(self):\n        p = hp.HyperoptProposer(self.pc)\n        c = p.get()\n        p.increment_job_counter()\n        job = Job(\"none\", c)\n        p.update(0.1, job)\n        job.config['tid'] = -100\n        self.assertRaises(KeyError, p.update, 0.0, job)\n        path = tempfile.mkdtemp()\n        sav = os.path.join(path, \"save.pkl\")\n        p.save(sav)\n        idx = p.counter\n        p = hp.HyperoptProposer(self.pc)\n        self.assertNotEqual(idx, p.counter)\n        p.reload(sav)\n        self.assertEqual(idx, p.counter)\n        os.remove(sav)\n        os.rmdir(path)\n\n    def test_failed(self):\n        p = hp.HyperoptProposer(self.pc)\n        c = p.get()\n        p.increment_job_counter()\n        job = Job(\"none\", c)\n        p.failed(job)\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/Proposer/test_RandomProposer.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\n\nimport os\nimport tempfile\n\nfrom aup.EE.Job import Job\nfrom aup.Proposer import RandomProposer as rp\n\n\nclass MyTestCase(unittest.TestCase):\n    def test_random_int(self):\n        d = [1, 10]\n        all_opt = set(range(1, 11))\n        f = rp._random_int(d)\n        t = set(f() for _ in range(10000))\n        self.assertSetEqual(all_opt, t, \"Low chance to miss numbers\")\n        self.assertRaises(ValueError, rp._random_int, [1, 2, 3])\n\n    def test_random_float(self):\n        d = [-10, 10]\n        f = rp._random_float(d)\n        for i in range(100):\n            v = f()\n            self.assertLessEqual(v, d[1])\n            self.assertLessEqual(d[0], v)\n        self.assertRaises(ValueError, rp._random_float, [1, 2, 3])\n\n    def test_random_choice(self):\n        d = [str(i) for i in range(10)]\n        f = rp._random_choice(d)\n        for i in range(100):\n            self.assertIn(f(), d)\n\n        self.assertRaises(ValueError, rp._random_choice, [])\n\n    def test_init(self):\n        config = {}\n        self.assertRaises(KeyError, rp.RandomProposer, config)\n        config['n_samples'] = 10\n        self.assertRaises(KeyError, rp.RandomProposer, config)\n        config['parameter_config'] = [{}]\n        self.assertRaises(KeyError, rp.RandomProposer, config)\n        config['parameter_config'] = [{\"name\": \"a\"}]\n        self.assertTrue(rp.RandomProposer(config))\n\n    def test_save_restore(self):\n        config = {'n_samples': 10, 'parameter_config': [{'name': 'x'}]}\n        m = rp.RandomProposer(config)\n        path = tempfile.mkdtemp()\n        self.assertIn(m.get_param()['x'], [0, 1])\n\n        sav = os.path.join(path, 'test.pkl')\n        m.save(sav)\n        n = rp.RandomProposer(config)\n        n.reload(sav)\n        self.assertIn(n.get_param()['x'], [0, 1])\n        os.remove(sav)\n        os.rmdir(path)\n\n    def test_reset(self):\n        config = {'n_samples': 10, 'random_seed': 10, 'parameter_config': [{'name': 'x', 'type': 'int'}]}\n        m = rp.RandomProposer(config)\n\n        for i in range(10):\n            m.get()\n            m.increment_job_counter()\n        v = m.get()\n        m.increment_job_counter()\n        self.assertIs(v, None)\n        m.reset()\n        self.assertIn(m.get()['x'], [0, 1])\n        m.increment_job_counter()\n        self.assertEqual(m.counter, 1)\n\n    def test_failed(self):\n        config = {'n_samples': 10, 'random_seed': 10, 'parameter_config': [{'name': 'x', 'type': 'int'}]}\n        p = rp.RandomProposer(config)\n        c = p.get()\n        job = Job(\"none\", c)\n        p.failed(job)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/Proposer/test_SequenceProposer.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom unittest import TestCase\n\nfrom aup.EE.Job import Job\nfrom aup.Proposer import SequenceProposer as sp\nfrom aup.Proposer import get_proposer\nfrom aup.Proposer import ProposerStatus\n\n\nclass SequenceTestCase(TestCase):\n    def setUp(self):\n        self.pc = {\n            \"proposer\": \"sequence\",\n            \"parameter_config\": []\n        }\n\n    def test_int(self):\n        self.pc[\"parameter_config\"] = [\n            {\"name\": \"x1\", \"type\": \"int\", \"range\": [0, 10]},\n            {\"name\": \"x2\", \"type\": \"int\", \"range\": [0, 10]}\n        ]\n        rp = get_proposer(\"sequence\")(self.pc)\n        self.assertEqual(rp.nSamples, 121)\n        param1 = rp.get()\n        rp.increment_job_counter()\n        self.assertTrue(param1 == {\"x1\": 0, \"x2\": 0})\n        param1 = rp.get()\n        rp.increment_job_counter()\n        self.assertTrue(param1 == {\"x1\": 1, \"x2\": 0})\n        while rp.status == ProposerStatus.RUNNING:\n            param1 = rp.get()\n            rp.increment_job_counter()\n            rp.check_termination()\n        self.assertTrue(param1 == {\"x1\": 10, \"x2\": 10})\n\n    def test_int_interval(self):\n        self.pc[\"parameter_config\"] = [\n            {\"name\": \"x1\", \"type\": \"int\", \"range\": [0, 10], \"interval\":2},  # 0 2 4 6 8 10\n            {\"name\": \"x2\", \"type\": \"int\", \"range\": [0, 10], \"n\":3}          # 0 5 10\n        ]\n        rp = get_proposer(\"sequence\")(self.pc)\n        self.assertEqual(rp.nSamples, 18)\n        param1 = rp.get()\n        rp.increment_job_counter()\n        self.assertTrue(param1 == {\"x1\": 0, \"x2\": 0})\n        param1 = rp.get()\n        rp.increment_job_counter()\n        self.assertTrue(param1 == {\"x1\": 2, \"x2\": 0})\n        for i in range(10):\n            param1 = rp.get()\n            rp.increment_job_counter()\n        self.assertTrue(param1 == {\"x1\": 10, \"x2\": 5})\n        while rp.status == ProposerStatus.RUNNING:\n            param1 = rp.get()\n            rp.increment_job_counter()\n            rp.check_termination()\n        self.assertTrue(param1 == {\"x1\": 10, \"x2\": 10})\n\n    def test_float(self):\n        self.pc[\"parameter_config\"] = [\n            {\"name\": \"x1\", \"type\": \"float\", \"range\": [0, 1], \"interval\":0.2},\n            {\"name\": \"x2\", \"type\": \"float\", \"range\": [0, 1]}\n        ]\n        rp = get_proposer(\"sequence\")(self.pc)\n        self.assertEqual(rp.nSamples, 12)\n        param1 = rp.get()\n        rp.increment_job_counter()\n        self.assertDictEqual(param1, {\"x1\": 0, \"x2\": 0})\n        param1 = rp.get()\n        rp.increment_job_counter()\n        self.assertDictEqual(param1, {\"x1\": 0.2, \"x2\": 0})\n        for i in range(4):\n            param1 = rp.get()\n            rp.increment_job_counter()\n        self.assertDictEqual(param1, {\"x1\": 1, \"x2\": 0})\n        while rp.status == ProposerStatus.RUNNING:\n            param1 = rp.get()\n            rp.increment_job_counter()\n            rp.check_termination()\n        self.assertTrue(param1 == {\"x1\": 1, \"x2\": 1})\n\n        self.pc[\"parameter_config\"] = [\n            {\"name\": \"x1\", \"type\": \"float\", \"range\": [0, 1], \"interval\": 0.2},\n            {\"name\": \"x2\", \"type\": \"float\", \"range\": [0, 1], \"n\": 2}\n        ]\n        rp = get_proposer(\"sequence\")(self.pc)\n        self.assertEqual(rp.nSamples, 12)\n        param1 = rp.get()\n        rp.increment_job_counter()\n        self.assertDictEqual(param1, {\"x1\": 0, \"x2\": 0})\n        param1 = rp.get()\n        rp.increment_job_counter()\n        self.assertDictEqual(param1, {\"x1\": 0.2, \"x2\": 0})\n        for i in range(4):\n            param1 = rp.get()\n            rp.increment_job_counter()\n        self.assertDictEqual(param1, {\"x1\": 1, \"x2\": 0})\n        while rp.status == ProposerStatus.RUNNING:\n            param1 = rp.get()\n            rp.increment_job_counter()\n            rp.check_termination()\n        self.assertTrue(param1 == {\"x1\": 1, \"x2\": 1})\n\n    def test_choice(self):\n        self.pc[\"parameter_config\"] = [\n            {\"name\": \"x1\", \"type\": \"choice\", \"range\": [2, 4, 6, 8, 10]},\n            {\"name\": \"x2\", \"type\": \"choice\", \"range\": [\"a\", \"b\", \"c\"]}\n        ]\n        rp = get_proposer(\"sequence\")(self.pc)\n        self.assertEqual(rp.nSamples, 15)\n        param1 = rp.get()\n        rp.increment_job_counter()\n        rp.check_termination()\n        self.assertTrue(param1 == {\"x1\": 2, \"x2\": \"a\"})\n        while rp.status == ProposerStatus.RUNNING:\n            param1 = rp.get()\n            rp.increment_job_counter()\n            rp.check_termination()\n        self.assertTrue(param1 == {\"x1\": 10, \"x2\": \"c\"})\n\n    def test_gen(self):\n        self.assertRaises(KeyError, sp._AbstractGen.get_gen, {'type': 'wrong'})\n\n    def test_failed(self):\n        self.pc[\"parameter_config\"] = [\n            {\"name\": \"x1\", \"type\": \"choice\", \"range\": [2, 4, 6, 8, 10]},\n            {\"name\": \"x2\", \"type\": \"choice\", \"range\": [\"a\", \"b\", \"c\"]}\n        ]\n        p = get_proposer(\"sequence\")(self.pc)\n        c = p.get()\n        p.increment_job_counter()\n        job = Job(\"none\", c)\n        p.failed(job)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/Proposer/test_SpearmintProposer.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\n\nimport os\nimport shutil\nfrom six import PY3\n\nfrom aup.EE.Job import Job\nfrom aup.Proposer import SpearmintProposer as sp\n\n\n@unittest.skipIf(PY3, \"Spearmint has some issue with Python3\")\nclass SpearmintTestCase(unittest.TestCase):\n    def setUp(self):\n        self.pc = {\n            \"proposer\": \"spearmint\",\n            \"n_samples\": 100,\n            \"grid_size\": 200,\n            \"target\": \"min\",\n            \"parameter_config\": [\n                {\"name\": \"x\", \"type\": \"float\", \"range\": [1, 10]},\n                {\"name\": \"y\", \"type\": \"int\", \"range\": [1, 10]},\n                {\"name\": \"z\", \"type\": \"choice\", \"range\": [1, 2, 10]}\n            ]\n        }\n        self.path = os.path.join(\"tests\", \"tmp_tests\")\n        if os.path.exists(self.path):\n            shutil.rmtree(self.path)\n        os.mkdir(self.path)\n        self.pc['workingdir'] = self.path\n\n    def tearDown(self):\n        shutil.rmtree(self.path, ignore_errors=True)\n\n    def test_init(self):\n        pc = self.pc.copy()\n        pc['engine'] = \"wrong\"\n        self.assertRaises(KeyError, sp.SpearmintProposer, pc)\n\n        pc = self.pc.copy()\n        pc['parameter_config'][0]['size'] = 2\n        p = sp.SpearmintProposer(pc)\n        self.assertRaises(NotImplementedError, p.get)\n\n        pc = self.pc.copy()\n        pc['parameter_config'][0]['name'] = 'job_id'\n        self.assertRaises(ValueError, sp.SpearmintProposer, pc)\n\n    def test_get(self):\n        p = sp.SpearmintProposer(self.pc)\n        for j in range(3):\n            tid = []\n            for i in range(10):\n                v = p.get()\n                tid.append(v['job_id'])\n            for i in tid:\n                job = Job(\"none\", {'job_id': i})\n                p.update(1, job)\n        self.assertTrue(True)\n        self.assertTrue(sp.SpearmintProposer(self.pc))\n\n    def test_finish(self):\n        p = sp.SpearmintProposer(self.pc)\n        self.assertRaises(NotImplementedError, p.save, \"\")\n        self.assertRaises(NotImplementedError, p.reload, \"\")\n\n    def test_failed(self):\n        p = sp.SpearmintProposer(self.pc)\n        c = p.get()\n        job = Job(\"none\", c)\n        p.failed(job)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/__init__.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport sys\nimport logging\nsys.path.insert(0, \"src\")\nlogging.basicConfig(level=logging.FATAL)"
  },
  {
    "path": "tests/command/__init__.py",
    "content": ""
  },
  {
    "path": "tests/command/test_convert.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport os\nimport unittest\n\nfrom aup import convert as ac\n\n\nclass AutoConvertTestCase(unittest.TestCase):\n    exp = os.path.join(\"tests\", \"data\", \"exp4.json\")\n    script = os.path.join(\"tests\", \"data\", \"task4.py\")\n\n    def test_get_param(self):\n        self.assertListEqual(['x'], ac.get_param(self.exp))\n        exp = os.path.join(\"tests\", \"data\", \"exp4_no_param.json\")\n        self.assertRaises(KeyError, ac.get_param, exp)\n        exp = os.path.join(\"tests\", \"data\", \"exp4_no_name.json\")\n        self.assertRaises(KeyError, ac.get_param, exp)\n\n    def test_get_output(self):\n        self.assertEqual(\"to_delete.py\", ac.get_output_name(self.exp))\n        exp = os.path.join(\"tests\", \"data\", \"exp4_no_script.json\")\n        self.assertRaises(KeyError, ac.get_output_name, exp)\n\n    def test_modification(self):\n        with open(self.script,'r') as f:\n            script = f.read()\n        script = ac.add_shenbang(script)\n        self.assertEqual(script[:2], \"#!\")\n\n        script = ac.add_func(script, \"function\", ['x'])\n        script = ac.add_main(script)\n        self.assertTrue(\"__main__\" in script)\n        self.assertTrue(ac.add_main(script))\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/command/test_setup.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\n\nfrom os import path\nfrom shutil import rmtree\nfrom six.moves.configparser import ConfigParser\n\nfrom aup import setup\n\n\n# if the package is not installed, it aup.setupdb will throw errors because it is triggered by command line.\n# It is safe to ignore those errors if unittest jobs are passed.\ndef _setup_wrapper(filename, *args):\n    config = ConfigParser()\n    config.optionxform = str\n    config.read(filename)\n    try:\n        setup.setup(config, *args)\n    except OSError:\n        print(\"Above 'No module named aup.setupdb' error can be ignored\")\n\n\ndef _read_file(filename):\n    with open(filename, 'r') as f:\n        return f.readlines()\n\n\nclass SetupTestCase(unittest.TestCase):\n    plain_env_path = path.join(\"tests\", \"data\", \"plain_env.ini\")\n    target_plain_env_path = path.join(\"tests\", \"data\", \"target_plain_env.ini\")\n    gpu_path = path.join(\"tests\", \"data\", \"gpus.txt\")\n    target_gpu_env_path = path.join(\"tests\", \"data\", \"target_gpu_env.ini\")\n\n    def test_folder_creation(self):  # make sure the aup folder can be created\n        tmp_path = path.join(\"~\", \".aup_test\")\n\n        while path.exists(path.expanduser(tmp_path)):\n            tmp_path += \"%d\" % hash(tmp_path)\n            print(tmp_path)\n\n        os_ind_path = path.expanduser(tmp_path)\n        setup._create_folder(tmp_path)\n        self.assertTrue(path.exists(os_ind_path), \"failed to create %s\" % os_ind_path)\n        rmtree(os_ind_path)\n\n    def test_update_resource(self):\n        _setup_wrapper(self.plain_env_path, 4, self.gpu_path, \"none\", \"none\", \"test\", False, \"error\")\n        d1 = _read_file(path.join(\".aup\", \"env.ini\"))\n        d2 = _read_file(self.target_gpu_env_path)\n        self.assertListEqual(d1, d2, \"content of env.ini is problematic with resource\")\n        rmtree(\".aup\")\n\n    def test_setup(self):\n        _setup_wrapper(self.plain_env_path, 4, \"none\", \"none\", \"none\", \"test\", False, \"error\")\n        self.assertTrue(path.exists(\".aup\"), \"failed to create aup\")\n        d1 = _read_file(self.target_plain_env_path)\n        d2 = _read_file(path.join(\".aup\", \"env.ini\"))\n        self.assertListEqual(d1, d2, \"content of env.ini is problematic\")\n        rmtree(\".aup\")\n\n    def test_overwrite(self):\n        _setup_wrapper(self.plain_env_path, 4, \"none\", \"none\", \"none\", \"test\", False, \"error\")\n        self.assertRaises(Exception,\n                          _setup_wrapper, self.plain_env_path, 4, \"none\", \"none\", \"none\", \"test\", False, \"error\")\n        _setup_wrapper(self.plain_env_path, 4, \"none\", \"none\", \"none\", \"test\", True, \"error\")\n        self.assertTrue(path.exists(\".aup\"), \"failed to create aup\")\n        rmtree(\".aup\")\n\n    def test_resource_conflict(self):\n        _setup_wrapper(self.target_gpu_env_path, 4, \"none\", \"0,1\", \"\", \"test\", False, \"error\")\n\n    def tearDown(self):\n        rmtree(\".aup\", ignore_errors=True)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/compression/__init__.py",
    "content": ""
  },
  {
    "path": "tests/compression/test_aup_compressor.py",
    "content": "import unittest\nimport os\nfrom shutil import copyfile, rmtree\nfrom subprocess import call\n\nfrom aup import compression, Experiment, BasicConfig\nfrom aup.utils import get_default_username\nfrom aup.compression.utils import verify_compression_config, run_non_automatic_experiment, adjust_compression_config\n\nclass CompressorMainTest(unittest.TestCase):\n    path = os.path.join(\"tests\", \"data\", \"exp7.json\")\n    auppath = os.path.join(\"tests\", \"data\", \".aup\")\n    ori_db = os.path.join(auppath, \"sqlite3.db\")\n    bk_db = os.path.join(auppath, \"bk.db\")\n\n    def setUp(self):\n        copyfile(self.ori_db, self.bk_db)\n\n    def tearDown(self):\n        copyfile(self.bk_db, self.ori_db)\n        # clean test files\n        os.remove(self.bk_db)\n        if os.path.isfile(os.path.join(os.getcwd(), \"exp2.pkl\")):\n            os.remove(os.path.join(os.getcwd(), \"exp2.pkl\"))\n\n    def test_verify_config(self):\n        compression = {\n            \"framework\": None,\n            \"type\": None,\n            \"compressor\": None,\n            \"config_list\": None,\n        }\n        config = {\n            \"name\": None,\n            \"script\": None,\n            \"resource\": None,\n            \"compression\": compression,\n        }\n        _config = verify_compression_config(config)\n        self.assertEqual(_config, config)\n\n    def test_verify_config_missing_config(self):\n\n        config = {}\n        self.assertRaises(KeyError, verify_compression_config, config)\n\n    def test_verify_config_missing_compression_config(self):\n    \n        config = {\n            \"name\": None,\n            \"script\": None,\n            \"resource\": None,\n            \"compression\": None,\n        }\n        self.assertRaises(TypeError, verify_compression_config, config)\n\n\n    def test_adjust_config(self):\n\n        compression = {\n            \"compression_framework\": None,\n            \"compression_type\": None,\n            \"compressor\": None,\n            \"config_list\": None,\n        }\n\n        old_compression = {\n            \"framework\": None,\n            \"type\": None,\n            \"compressor\": None,\n            \"config_list\": None,\n        }\n\n        adjusted_config = adjust_compression_config(old_compression)\n        self.assertEqual(adjusted_config, compression)\n\n    def test_non_automatic_ra_no_script(self):\n\n        exp_config = BasicConfig().load(self.path)\n        exp_config = verify_compression_config(exp_config)\n        exp_config[\"compression\"] = adjust_compression_config(exp_config[\"compression\"])\n        exp_config[\"workingdir\"] = os.getcwd()\n        exp_config[\"script\"] = None\n        self.assertRaises(TypeError, lambda: run_non_automatic_experiment()[1](), exp_config, self.auppath, \"test\")\n  \nclass CompressorTestCase(unittest.TestCase):\n\n    model = None\n    nni_compressor = None\n    c_str = None\n    model_path = 'temp'\n\n    def test_create_compressor_no_cf(self):\n\n        config = {\n            \"compression_framework\": \"fail\",\n            \"compression_type\": \"fail\",\n            \"compressor\": \"fail\",\n        }\n\n        self.assertRaises(ValueError, compression.create_compressor, self.model, config)\n\n    def test_create_compressor_no_ct(self):\n\n        config = {\n            \"compression_framework\": \"tensorflow\",\n            \"compression_type\": \"fail\",\n            \"compressor\": \"fail\",\n        }\n\n        self.assertRaises(ValueError, compression.create_compressor, self.model, config)\n\n    def test_create_compressor_no_c(self):\n    \n        config = {\n            \"compression_framework\": \"tensorflow\",\n            \"compression_type\": \"pruning\",\n            \"compressor\": \"fail\",\n        }\n\n        self.assertRaises(ValueError, compression.create_compressor, self.model, config)\n    \n    def test_compressor_export_model(self):\n\n        c_framework = \"torch\"\n        c_type = \"pruning\"\n        mask_path = None\n\n        c = compression.Compressor(self.model, self.nni_compressor, c_framework, c_type, self.c_str)\n        self.assertRaises(AttributeError, c.export_model, self.model_path, mask_path, save_model=True)\n\n\nif __name__ == '__main__':\n    unittest.main()"
  },
  {
    "path": "tests/compression/test_compression_utils.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport os\nimport unittest\nfrom unittest import TestCase, main\nimport torch\nimport torch.nn as nn\nimport torchvision.models as models\nimport numpy as np\n\nfrom aup.compression.torch import L1FilterPruner\nfrom aup.compression.torch.utils.shape_dependency import ChannelDependency\nfrom aup.compression.torch.utils.mask_conflict import fix_mask_conflict\nfrom aup.compression.torch.utils.counter import count_flops_params\n\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\nprefix = 'analysis_test'\nmodel_names = ['alexnet', 'vgg11', 'vgg11_bn', 'vgg13', 'vgg19',\n               'resnet18', 'resnet34', 'squeezenet1_1',\n               'mobilenet_v2', 'wide_resnet50_2']\n\nchannel_dependency_ground_truth = {\n    'resnet18': [{'layer1.0.conv2', 'layer1.1.conv2', 'conv1'},\n                 {'layer2.1.conv2', 'layer2.0.conv2', 'layer2.0.downsample.0'},\n                 {'layer3.0.downsample.0', 'layer3.1.conv2', 'layer3.0.conv2'},\n                 {'layer4.0.downsample.0', 'layer4.1.conv2', 'layer4.0.conv2'}],\n    'resnet34': [{'conv1', 'layer1.2.conv2', 'layer1.1.conv2', 'layer1.0.conv2'},\n                 {'layer2.3.conv2', 'layer2.0.conv2', 'layer2.0.downsample.0',\n                  'layer2.1.conv2', 'layer2.2.conv2'},\n                 {'layer3.3.conv2', 'layer3.0.conv2', 'layer3.4.conv2', 'layer3.0.downsample.0',\n                  'layer3.5.conv2', 'layer3.1.conv2', 'layer3.2.conv2'},\n                 {'layer4.0.downsample.0', 'layer4.1.conv2', 'layer4.2.conv2', 'layer4.0.conv2'}],\n    'mobilenet_v2': [{'features.3.conv.2', 'features.2.conv.2'},\n                     {'features.6.conv.2', 'features.4.conv.2', 'features.5.conv.2'},\n                     {'features.8.conv.2', 'features.7.conv.2',\n                      'features.10.conv.2', 'features.9.conv.2'},\n                     {'features.11.conv.2', 'features.13.conv.2',\n                      'features.12.conv.2'},\n                     {'features.14.conv.2', 'features.16.conv.2', 'features.15.conv.2'}],\n    'wide_resnet50_2': [{'layer1.2.conv3', 'layer1.1.conv3', 'layer1.0.conv3', 'layer1.0.downsample.0'},\n                        {'layer2.1.conv3', 'layer2.0.conv3', 'layer2.0.downsample.0',\n                         'layer2.2.conv3', 'layer2.3.conv3'},\n                        {'layer3.3.conv3', 'layer3.0.conv3', 'layer3.2.conv3', 'layer3.0.downsample.0',\n                         'layer3.1.conv3', 'layer3.4.conv3', 'layer3.5.conv3'},\n                        {'layer4.1.conv3', 'layer4.2.conv3', 'layer4.0.downsample.0', 'layer4.0.conv3'}],\n    'alexnet': [],\n    'vgg11': [],\n    'vgg11_bn': [],\n    'vgg13': [],\n    'vgg19': [],\n    'squeezenet1_1': [],\n    'googlenet': []\n    # comments the shufflenet temporary\n    # because it has the listunpack operation which\n    # will lead to a graph construction error.\n    # support the listunpack in the next release.\n    # 'shufflenet_v2_x1_0': []\n}\n\nunittest.TestLoader.sortTestMethodsUsing = None\n\n\nclass AnalysisUtilsTest(TestCase):\n    @unittest.skipIf(torch.__version__ < \"1.3.0\", \"not supported\")\n    def test_channel_dependency(self):\n        outdir = os.path.join(prefix, 'dependency')\n        os.makedirs(outdir, exist_ok=True)\n        for name in model_names:\n            print('Analyze channel dependency for %s' % name)\n            model = getattr(models, name)\n            net = model().to(device)\n            dummy_input = torch.ones(1, 3, 224, 224).to(device)\n            channel_depen = ChannelDependency(net, dummy_input)\n            depen_sets = channel_depen.dependency_sets\n            d_set_count = 0\n            for d_set in depen_sets:\n                if len(d_set) > 1:\n                    d_set_count += 1\n                    assert d_set in channel_dependency_ground_truth[name]\n            assert d_set_count == len(channel_dependency_ground_truth[name])\n            fpath = os.path.join(outdir, name)\n            channel_depen.export(fpath)\n\n    def get_pruned_index(self, mask):\n        pruned_indexes = []\n        shape = mask.size()\n        for i in range(shape[0]):\n            if torch.sum(mask[i]).item() == 0:\n                pruned_indexes.append(i)\n\n        return pruned_indexes\n\n    @unittest.skipIf(torch.__version__ < \"1.3.0\", \"not supported\")\n    def test_mask_conflict(self):\n        outdir = os.path.join(prefix, 'masks')\n        os.makedirs(outdir, exist_ok=True)\n        for name in model_names:\n            print('Test mask conflict for %s' % name)\n            model = getattr(models, name)\n            net = model().to(device)\n            dummy_input = torch.ones(1, 3, 224, 224).to(device)\n            # random generate the prune sparsity for each layer\n            cfglist = []\n            for layername, layer in net.named_modules():\n                if isinstance(layer, nn.Conv2d):\n                    # pruner cannot allow the sparsity to be 0 or 1\n                    sparsity = np.random.uniform(0.01, 0.99)\n                    cfg = {'op_types': ['Conv2d'], 'op_names': [\n                        layername], 'sparsity': sparsity}\n                    cfglist.append(cfg)\n            pruner = L1FilterPruner(net, cfglist)\n            pruner.compress()\n            ck_file = os.path.join(outdir, '%s.pth' % name)\n            mask_file = os.path.join(outdir, '%s_mask' % name)\n            pruner.export_model(ck_file, mask_file)\n            pruner._unwrap_model()\n            # Fix the mask conflict\n            fixed_mask, _ = fix_mask_conflict(mask_file, net, dummy_input)\n\n            # use the channel dependency groud truth to check if\n            # fix the mask conflict successfully\n            for dset in channel_dependency_ground_truth[name]:\n                lset = list(dset)\n                for i, _ in enumerate(lset):\n                    assert fixed_mask[lset[0]]['weight'].size(\n                        0) == fixed_mask[lset[i]]['weight'].size(0)\n                    w_index1 = self.get_pruned_index(\n                        fixed_mask[lset[0]]['weight'])\n                    w_index2 = self.get_pruned_index(\n                        fixed_mask[lset[i]]['weight'])\n                    assert w_index1 == w_index2\n                    if hasattr(fixed_mask[lset[0]], 'bias'):\n                        b_index1 = self.get_pruned_index(\n                            fixed_mask[lset[0]]['bias'])\n                        b_index2 = self.get_pruned_index(\n                            fixed_mask[lset[i]]['bias'])\n                        assert b_index1 == b_index2\n\n\n    def test_flops_params(self):\n        class Model1(nn.Module):\n            def __init__(self):\n                super(Model1, self).__init__()\n                self.conv = nn.Conv2d(3, 5, 1, 1)\n                self.bn = nn.BatchNorm2d(5)\n                self.relu = nn.LeakyReLU()\n                self.linear = nn.Linear(20, 10)\n                self.upsample = nn.UpsamplingBilinear2d(size=2)\n                self.pool = nn.AdaptiveAvgPool2d((2, 2))\n\n            def forward(self, x):\n                x = self.conv(x)\n                x = self.bn(x)\n                x = self.relu(x)\n                x = self.upsample(x)\n                x = self.pool(x)\n                x = x.view(x.size(0), -1)\n                x = self.linear(x)\n                return x\n\n        class Model2(nn.Module):\n            def __init__(self):\n                super(Model2, self).__init__()\n                self.conv = nn.Conv2d(3, 5, 1, 1)\n                self.conv2 = nn.Conv2d(5, 5, 1, 1)\n\n            def forward(self, x):\n                x = self.conv(x)\n                for _ in range(5):\n                    x = self.conv2(x)\n                return x\n        \n        flops, params, results = count_flops_params(Model1(), (1, 3, 2, 2), mode='full', verbose=False)\n        assert (flops, params)  == (610, 240)\n\n        flops, params, results = count_flops_params(Model2(), (1, 3, 2, 2), verbose=False)\n        assert (flops, params)  == (560, 50)\n\n        from torchvision.models import resnet50\n        flops, params, results = count_flops_params(resnet50(), (1, 3, 224, 224), verbose=False)\n        assert (flops, params) == (4089184256, 25503912)\n\n\nif __name__ == '__main__':\n    main()\n"
  },
  {
    "path": "tests/compression/test_compressor_tf.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport unittest\nimport sys\n\nimport numpy as np\n\ntry:\n    import tensorflow as tf\nexcept (ImportError):\n    sys.exit(0)\n\n\n####\n#\n# This file tests pruners on 3 models:\n#   A classic CNN model built by inheriting `Model`;\n#   The same CNN model built with `Sequential`;\n#   A naive model with only one linear layer.\n#\n# The CNN models are used to test layer detecting and instrumenting.\n#\n# The naive model is used to test mask calculation.\n# It has a single 10x10 linear layer without bias, and `reduce_sum` its result.\n# To help predicting pruning result, the linear layer has fixed initial weights:\n#     [ [ 0.0, 1.0, 2.0, ..., 9.0 ], [0.1, 1.1, 2.1, ..., 9.1 ], ... , [0.9, 1.0, 2.9, ..., 9.9 ] ]\n#\n####\n\n\n# This tensor is used as input of 10x10 linear layer, the first dimension is batch size\ntensor1x10 = tf.constant([[1.0] * 10])\n\n\n@unittest.skipIf(tf.__version__[0] != '2', 'Skip TF 1.x setup')\nclass TfCompressorTestCase(unittest.TestCase):\n    def test_layer_detection(self):\n        # Conv and dense layers should be compressed, pool and flatten should not.\n        # This also tests instrumenting functionality.\n        self._test_layer_detection_on_model(CnnModel())\n        self._test_layer_detection_on_model(build_sequential_model())\n\n    def _test_layer_detection_on_model(self, model):\n        pruner = pruners['level'](model)\n        pruner.compress()\n        layer_types = sorted(type(wrapper.layer).__name__ for wrapper in pruner.wrappers)\n        assert layer_types == ['Conv2D', 'Dense', 'Dense'], layer_types\n\n    def test_level_pruner(self):\n        # prune 90% : 9.0 + 9.1 + ... + 9.9 = 94.5\n        model = build_naive_model()\n        pruners['level'](model).compress()\n        x = model(tensor1x10)\n        assert x.numpy() == 94.5\n\n\ntry:\n    from tensorflow.keras import Model, Sequential\n    from tensorflow.keras.layers import (Conv2D, Dense, Flatten, MaxPool2D)\n\n    from aup.compression.tensorflow import LevelPruner\n\n    pruners = {\n        'level': (lambda model: LevelPruner(model, [{'sparsity': 0.9, 'op_types': ['default']}])),\n    }\n\n    class CnnModel(Model):\n        def __init__(self):\n            super().__init__()\n            self.conv = Conv2D(filters=10, kernel_size=3, activation='relu')\n            self.pool = MaxPool2D(pool_size=2)\n            self.flatten = Flatten()\n            self.fc1 = Dense(units=10, activation='relu')\n            self.fc2 = Dense(units=5, activation='softmax')\n\n        def call(self, x):\n            x = self.conv(x)\n            x = self.pool(x)\n            x = self.flatten(x)\n            x = self.fc1(x)\n            x = self.fc2(x)\n            return x\n\n    def build_sequential_model():\n        return Sequential([\n            Conv2D(filters=10, kernel_size=3, activation='relu'),\n            MaxPool2D(pool_size=2),\n            Flatten(),\n            Dense(units=10, activation='relu'),\n            Dense(units=5, activation='softmax'),\n        ])\n\n    class NaiveModel(Model):\n        def __init__(self):\n            super().__init__()\n            self.fc = Dense(units=10, use_bias=False)\n\n        def call(self, x):\n            return tf.math.reduce_sum(self.fc(x))\n\nexcept Exception:\n    pass\n\n\ndef build_naive_model():\n    model = NaiveModel()\n    model.build(tensor1x10.shape)\n    weight = [[(i + j * 0.1) for i in range(10)] for j in range(10)]\n    model.set_weights([np.array(weight)])\n    return model\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/compression/test_compressor_torch.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nfrom unittest import TestCase, main\nimport numpy as np\nimport torch\nimport torch.nn.functional as F\nimport schema\nfrom aup.compression.torch.pruning import *\nfrom aup.compression.torch.quantization import *\nimport math\n\n\nclass TorchModel(torch.nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.conv1 = torch.nn.Conv2d(1, 5, 5, 1)\n        self.bn1 = torch.nn.BatchNorm2d(5)\n        self.conv2 = torch.nn.Conv2d(5, 10, 5, 1)\n        self.bn2 = torch.nn.BatchNorm2d(10)\n        self.fc1 = torch.nn.Linear(4 * 4 * 10, 100)\n        self.fc2 = torch.nn.Linear(100, 10)\n\n    def forward(self, x):\n        x = F.relu(self.bn1(self.conv1(x)))\n        x = F.max_pool2d(x, 2, 2)\n        x = F.relu(self.bn2(self.conv2(x)))\n        x = F.max_pool2d(x, 2, 2)\n        x = x.view(-1, 4 * 4 * 10)\n        x = F.relu(self.fc1(x))\n        x = self.fc2(x)\n        return F.log_softmax(x, dim=1)\n\n\nclass CompressorTestCase(TestCase):\n    def test_torch_quantizer_modules_detection(self):\n        # test if modules can be detected\n        model = TorchModel()\n        config_list = [{\n            'quant_types': ['weight'],\n            'quant_bits': 8,\n            'op_types': ['Conv2d', 'Linear']\n        }, {\n            'quant_types': ['output'],\n            'quant_bits': 8,\n            'quant_start_step': 0,\n            'op_types': ['ReLU']\n        }]\n\n        model.relu = torch.nn.ReLU()\n        quantizer = QAT_Quantizer(model, config_list)\n        quantizer.compress()\n        modules_to_compress = quantizer.get_modules_to_compress()\n        modules_to_compress_name = [t[0].name for t in modules_to_compress]\n        assert \"conv1\" in modules_to_compress_name\n        assert \"conv2\" in modules_to_compress_name\n        assert \"fc1\" in modules_to_compress_name\n        assert \"fc2\" in modules_to_compress_name\n        assert \"relu\" in modules_to_compress_name\n        assert len(modules_to_compress_name) == 5\n\n    def test_torch_level_pruner(self):\n        model = TorchModel()\n        optimizer = torch.optim.SGD(model.parameters(), lr=0.01, momentum=0.5)\n        configure_list = [{'sparsity': 0.8, 'op_types': ['default']}]\n        LevelPruner(model, configure_list, optimizer).compress()\n\n    def test_torch_naive_quantizer(self):\n        model = TorchModel()\n        configure_list = [{\n            'quant_types': ['weight'],\n            'quant_bits': {\n                'weight': 8,\n            },\n            'op_types': ['Conv2d', 'Linear']\n        }]\n        NaiveQuantizer(model, configure_list).compress()\n\n    def test_torch_fpgm_pruner(self):\n        \"\"\"\n        With filters(kernels) weights defined as above (w), it is obvious that w[4] and w[5] is the Geometric Median\n        which minimize the total geometric distance by defination of Geometric Median in this paper:\n        Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration,\n        https://arxiv.org/pdf/1811.00250.pdf\n\n        So if sparsity is 0.2, the expected masks should mask out w[4] and w[5], this can be verified through:\n        `all(torch.sum(masks, (1, 2, 3)).numpy() == np.array([125., 125., 125., 125., 0., 0., 125., 125., 125., 125.]))`\n\n        If sparsity is 0.6, the expected masks should mask out w[2] - w[7], this can be verified through:\n        `all(torch.sum(masks, (1, 2, 3)).numpy() == np.array([125., 125., 0., 0., 0., 0., 0., 0., 125., 125.]))`\n        \"\"\"\n        w = np.array([np.ones((5, 5, 5)) * (i+1) for i in range(10)]).astype(np.float32)\n\n        model = TorchModel()\n        config_list = [{'sparsity': 0.6, 'op_types': ['Conv2d']}, {'sparsity': 0.2, 'op_types': ['Conv2d']}]\n        pruner = FPGMPruner(model, config_list, torch.optim.SGD(model.parameters(), lr=0.01))\n\n        model.conv2.module.weight.data = torch.tensor(w).float()\n        masks = pruner.calc_mask(model.conv2)\n        assert all(torch.sum(masks['weight_mask'], (1, 2, 3)).numpy() == np.array([125., 125., 125., 125., 0., 0., 125., 125., 125., 125.]))\n\n        model.conv2.module.weight.data = torch.tensor(w).float()\n        model.conv2.if_calculated = False\n        model.conv2.config = config_list[0]\n        masks = pruner.calc_mask(model.conv2)\n        assert all(torch.sum(masks['weight_mask'], (1, 2, 3)).numpy() == np.array([125., 125., 0., 0., 0., 0., 0., 0., 125., 125.]))\n\n       \n    def test_torch_l1filter_pruner(self):\n        \"\"\"\n        Filters with the minimum sum of the weights' L1 norm are pruned in this paper:\n        PRUNING FILTERS FOR EFFICIENT CONVNETS,\n        https://arxiv.org/abs/1608.08710\n\n        So if sparsity is 0.2 for conv1, the expected masks should mask out filter 0, this can be verified through:\n        `all(torch.sum(mask1, (1, 2, 3)).numpy() == np.array([0., 25., 25., 25., 25.]))`\n\n        If sparsity is 0.6 for conv2, the expected masks should mask out filter 0,1,2, this can be verified through:\n        `all(torch.sum(mask2, (1, 2, 3)).numpy() == np.array([0., 0., 0., 0., 0., 0., 125., 125., 125., 125.]))`\n        \"\"\"\n        w1 = np.array([np.ones((1, 5, 5))*i for i in range(5)]).astype(np.float32)\n        w2 = np.array([np.ones((5, 5, 5))*i for i in range(10)]).astype(np.float32)\n\n        model = TorchModel()\n        config_list = [{'sparsity': 0.2, 'op_types': ['Conv2d'], 'op_names': ['conv1']},\n                       {'sparsity': 0.6, 'op_types': ['Conv2d'], 'op_names': ['conv2']}]\n        pruner = L1FilterPruner(model, config_list)\n\n        model.conv1.module.weight.data = torch.tensor(w1).float()\n        model.conv2.module.weight.data = torch.tensor(w2).float()\n        mask1 = pruner.calc_mask(model.conv1)\n        mask2 = pruner.calc_mask(model.conv2)\n        assert all(torch.sum(mask1['weight_mask'], (1, 2, 3)).numpy() == np.array([0., 25., 25., 25., 25.]))\n        assert all(torch.sum(mask2['weight_mask'], (1, 2, 3)).numpy() == np.array([0., 0., 0., 0., 0., 0., 125., 125., 125., 125.]))\n\n    def test_torch_slim_pruner(self):\n        \"\"\"\n        Scale factors with minimum l1 norm in the BN layers are pruned in this paper:\n        Learning Efficient Convolutional Networks through Network Slimming,\n        https://arxiv.org/pdf/1708.06519.pdf\n\n        So if sparsity is 0.2, the expected masks should mask out channel 0, this can be verified through:\n        `all(mask1.numpy() == np.array([0., 1., 1., 1., 1.]))`\n        `all(mask2.numpy() == np.array([0., 1., 1., 1., 1.]))`\n\n        If sparsity is 0.6, the expected masks should mask out channel 0,1,2, this can be verified through:\n        `all(mask1.numpy() == np.array([0., 0., 0., 1., 1.]))`\n        `all(mask2.numpy() == np.array([0., 0., 0., 1., 1.]))`\n        \"\"\"\n        w = np.array([0, 1, 2, 3, 4])\n        model = TorchModel()\n        config_list = [{'sparsity': 0.2, 'op_types': ['BatchNorm2d']}]\n        model.bn1.weight.data = torch.tensor(w).float()\n        model.bn2.weight.data = torch.tensor(-w).float()\n        pruner = SlimPruner(model, config_list)\n\n        mask1 = pruner.calc_mask(model.bn1)\n        mask2 = pruner.calc_mask(model.bn2)\n        assert all(mask1['weight_mask'].numpy() == np.array([0., 1., 1., 1., 1.]))\n        assert all(mask2['weight_mask'].numpy() == np.array([0., 1., 1., 1., 1.]))\n        assert all(mask1['bias_mask'].numpy() == np.array([0., 1., 1., 1., 1.]))\n        assert all(mask2['bias_mask'].numpy() == np.array([0., 1., 1., 1., 1.]))\n\n        model = TorchModel()\n        config_list = [{'sparsity': 0.6, 'op_types': ['BatchNorm2d']}]\n        model.bn1.weight.data = torch.tensor(w).float()\n        model.bn2.weight.data = torch.tensor(w).float()\n        pruner = SlimPruner(model, config_list)\n\n        mask1 = pruner.calc_mask(model.bn1)\n        mask2 = pruner.calc_mask(model.bn2)\n        assert all(mask1['weight_mask'].numpy() == np.array([0., 0., 0., 1., 1.]))\n        assert all(mask2['weight_mask'].numpy() == np.array([0., 0., 0., 1., 1.]))\n        assert all(mask1['bias_mask'].numpy() == np.array([0., 0., 0., 1., 1.]))\n        assert all(mask2['bias_mask'].numpy() == np.array([0., 0., 0., 1., 1.]))\n\n    def test_torch_taylorFOweight_pruner(self):\n        \"\"\"\n        Filters with the minimum importance approxiamtion based on the first order \n        taylor expansion on the weights (w*grad)**2 are pruned in this paper:\n        Importance Estimation for Neural Network Pruning,\n        http://jankautz.com/publications/Importance4NNPruning_CVPR19.pdf\n\n        So if sparsity of conv1 is 0.2, the expected masks should mask out filter 0, this can be verified through:\n        `all(torch.sum(mask1['weight_mask'], (1, 2, 3)).numpy() == np.array([0., 25., 25., 25., 25.]))`\n\n        If sparsity of conv2 is 0.6, the expected masks should mask out filter 4,5,6,7,8,9 this can be verified through:\n        `all(torch.sum(mask2['weight_mask'], (1, 2, 3)).numpy() == np.array([125., 125., 125., 125., 0., 0., 0., 0., 0., 0., ]))`\n        \"\"\"\n\n        w1 = np.array([np.zeros((1, 5, 5)), np.ones((1, 5, 5)), np.ones((1, 5, 5)) * 2,\n                      np.ones((1, 5, 5)) * 3, np.ones((1, 5, 5)) * 4])\n        w2 = np.array([[[[i + 1] * 5] * 5] * 5 for i in range(10)[::-1]])\n\n        grad1 = np.array([np.ones((1, 5, 5)) * -1, np.ones((1, 5, 5)) * 1, np.ones((1, 5, 5)) * -1,\n                      np.ones((1, 5, 5)) * 1, np.ones((1, 5, 5)) * -1])\n\n        grad2 = np.array([[[[(-1)**i] * 5] * 5] * 5 for i in range(10)])\n\n        config_list = [{'sparsity': 0.2, 'op_types': ['Conv2d'], 'op_names': ['conv1']},\n                       {'sparsity': 0.6, 'op_types': ['Conv2d'], 'op_names': ['conv2']}]\n\n        model = TorchModel()\n        optimizer = torch.optim.SGD(model.parameters(), lr=0.01, momentum=0.5)\n        pruner = TaylorFOWeightFilterPruner(model, config_list, optimizer, statistics_batch_num=1)\n        \n        x = torch.rand((1, 1, 28, 28), requires_grad=True)\n        model.conv1.module.weight.data = torch.tensor(w1).float()\n        model.conv2.module.weight.data = torch.tensor(w2).float()\n\n        y = model(x)\n        y.backward(torch.ones_like(y))\n\n        model.conv1.module.weight.grad.data = torch.tensor(grad1).float()\n        model.conv2.module.weight.grad.data = torch.tensor(grad2).float()\n        optimizer.step()\n\n        mask1 = pruner.calc_mask(model.conv1)\n        mask2 = pruner.calc_mask(model.conv2)\n        assert all(torch.sum(mask1['weight_mask'], (1, 2, 3)).numpy() == np.array([0., 25., 25., 25., 25.]))\n        assert all(torch.sum(mask2['weight_mask'], (1, 2, 3)).numpy() == np.array([125., 125., 125., 125., 0., 0., 0., 0., 0., 0., ]))\n\n    def test_torch_QAT_quantizer(self):\n        model = TorchModel()\n        config_list = [{\n            'quant_types': ['weight'],\n            'quant_bits': 8,\n            'op_types': ['Conv2d', 'Linear']\n        }, {\n            'quant_types': ['output'],\n            'quant_bits': 8,\n            'quant_start_step': 0,\n            'op_types': ['ReLU']\n        }]\n        model.relu = torch.nn.ReLU()\n        quantizer = QAT_Quantizer(model, config_list)\n        quantizer.compress()\n\n        # test quantize\n        # range not including 0\n        eps = 1e-7\n        weight = torch.tensor([[1, 2], [3, 5]]).float()\n        model.conv2.module.old_weight.data = weight\n        quantizer.quantize_weight(model.conv2)\n        assert math.isclose(model.conv2.module.scale, 5 / 255, abs_tol=eps)\n        assert model.conv2.module.zero_point == 0\n        # range including 0\n        weight = torch.tensor([[-1, 2], [3, 5]]).float()\n        model.conv2.module.old_weight.data = weight\n        quantizer.quantize_weight(model.conv2)\n        assert math.isclose(model.conv2.module.scale, 6 / 255, abs_tol=eps)\n        assert model.conv2.module.zero_point in (42, 43)\n        # test value of weight and bias after quantization\n        weight = torch.tensor([[1.1287, 2.3456], [3.7814, 5.9723]])\n        weight_valid = torch.tensor([[1.1242, 2.3421], [3.7707, 5.9723]])\n        bias = torch.tensor([2.3432, 3.4342, 1.3414, 5.2341])\n        bias_valid = torch.tensor([2.3432, 3.4342, 1.3414, 5.2341])\n        model.conv2.module.old_weight.data = weight\n        model.conv2.module.bias.data = bias\n        quantizer.quantize_weight(model.conv2)\n        assert torch.all(torch.isclose(model.conv2.module.weight.data, weight_valid, rtol=1e-4))\n        assert torch.all(torch.isclose(model.conv2.module.bias.data, bias_valid, rtol=1e-7))\n\n        # test ema\n        eps = 1e-7\n        x = torch.tensor([[-0.2, 0], [0.1, 0.2]])\n        out = model.relu(x)\n        assert math.isclose(model.relu.module.tracked_min_biased, 0, abs_tol=eps)\n        assert math.isclose(model.relu.module.tracked_max_biased, 0.002, abs_tol=eps)\n\n        quantizer.step_with_optimizer()\n        x = torch.tensor([[0.2, 0.4], [0.6, 0.8]])\n        out = model.relu(x)\n        assert math.isclose(model.relu.module.tracked_min_biased, 0.002, abs_tol=eps)\n        assert math.isclose(model.relu.module.tracked_max_biased, 0.00998, abs_tol=eps)\n\n    def test_torch_pruner_validation(self):\n        # test bad configuration\n\n        pruner_classes = [LevelPruner, SlimPruner, FPGMPruner, L1FilterPruner, \\\n            L2FilterPruner, AGPPruner, ActivationMeanRankFilterPruner, ActivationAPoZRankFilterPruner]\n\n        bad_configs = [\n            [\n                {'sparsity': '0.2'},\n                {'sparsity': 0.6 }\n            ],\n            [\n                {'sparsity': 0.2},\n                {'sparsity': 1.6 }\n            ],\n            [\n                {'sparsity': 0.2, 'op_types': 'default'},\n                {'sparsity': 0.6 }\n            ],\n            [\n                {'sparsity': 0.2 },\n                {'sparsity': 0.6, 'op_names': 'abc' }\n            ]\n        ]\n        model = TorchModel()\n        optimizer = torch.optim.SGD(model.parameters(), lr=0.01)\n        for pruner_class in pruner_classes:\n            for config_list in bad_configs:\n                try:\n                    pruner_class(model, config_list, optimizer)\n                    print(config_list)\n                    assert False, 'Validation error should be raised for bad configuration'\n                except schema.SchemaError:\n                    pass\n                except:\n                    print('FAILED:', pruner_class, config_list)\n                    raise\n\n    def test_torch_quantizer_validation(self):\n        # test bad configuration\n        quantizer_classes = [NaiveQuantizer, QAT_Quantizer, DoReFaQuantizer, BNNQuantizer]\n\n        bad_configs = [\n            [\n                {'bad_key': 'abc'}\n            ],\n            [\n                {'quant_types': 'abc'}\n            ],\n            [\n                {'quant_bits': 34}\n            ],\n            [\n                {'op_types': 'default'}\n            ],\n            [\n                {'quant_bits': {'abc': 123}}\n            ]\n        ]\n        model = TorchModel()\n        optimizer = torch.optim.SGD(model.parameters(), lr=0.01)\n        for quantizer_class in quantizer_classes:\n            for config_list in bad_configs:\n                try:\n                    quantizer_class(model, config_list, optimizer)\n                    print(config_list)\n                    assert False, 'Validation error should be raised for bad configuration'\n                except schema.SchemaError:\n                    pass\n                except:\n                    print('FAILED:', quantizer_class, config_list)\n                    raise\n\nif __name__ == '__main__':\n    main()\n"
  },
  {
    "path": "tests/compression/test_model_speedup.py",
    "content": "# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT license.\n\n# Modified work Copyright (c) 2018 LG Electronics Inc.\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nimport os\nimport psutil\nimport sys\nimport numpy as np\nimport torch\nimport torchvision.models as models\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torchvision.models.vgg import vgg16\nfrom torchvision.models.resnet import resnet18\nimport unittest\nfrom unittest import TestCase, main\n\nfrom aup.compression.torch import L1FilterPruner, apply_compression_results, ModelSpeedup\nfrom aup.compression.torch.pruning.weight_masker import WeightMasker\nfrom aup.compression.torch.pruning.one_shot import _StructuredFilterPruner\n\ntorch.manual_seed(0)\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\nBATCH_SIZE = 2\n# the relative distance\nRELATIVE_THRESHOLD = 0.01\n# Because of the precision of floating-point numbers, some errors\n# between the original output tensors(without speedup) and the output\n# tensors of the speedup model are normal. When the output tensor itself\n# is small, such errors may exceed the relative threshold, so we also add\n# an absolute threshold to determine whether the final result is correct.\n# The error should meet the RELATIVE_THREHOLD or the ABSOLUTE_THRESHOLD.\nABSOLUTE_THRESHOLD = 0.0001\n\n\nclass BackboneModel1(nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.conv1 = nn.Conv2d(1, 1, 1, 1)\n\n    def forward(self, x):\n        return self.conv1(x)\n\n\nclass BackboneModel2(torch.nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.conv1 = nn.Conv2d(1, 20, 5, 1)\n        self.conv2 = nn.Conv2d(20, 50, 5, 1)\n        self.bn1 = nn.BatchNorm2d(self.conv1.out_channels)\n        self.bn2 = nn.BatchNorm2d(self.conv2.out_channels)\n        self.fc1 = nn.Linear(4 * 4 * 50, 500)\n        self.fc2 = nn.Linear(500, 10)\n\n    def forward(self, x):\n        x = F.relu(self.bn1(self.conv1(x)))\n        x = F.max_pool2d(x, 2, 2)\n        x = F.relu(self.bn2(self.conv2(x)))\n        x = F.max_pool2d(x, 2, 2)\n        x = x.view(x.size(0), -1)\n\n        x = F.relu(self.fc1(x))\n        x = self.fc2(x)\n        return x\n\n\nclass BigModel(torch.nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.backbone1 = BackboneModel1()\n        self.backbone2 = BackboneModel2()\n        self.fc3 = nn.Sequential(\n            nn.Linear(10, 10),\n            nn.BatchNorm1d(10),\n            nn.ReLU(inplace=True),\n            nn.Linear(10, 2)\n        )\n\n    def forward(self, x):\n        x = self.backbone1(x)\n        x = self.backbone2(x)\n        x = self.fc3(x)\n        return x\n\n\nclass TransposeModel(torch.nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.conv1 = nn.Conv2d(3, 20, 5)\n        self.conv2 = nn.ConvTranspose2d(20, 50, 5, groups=2)\n        self.bn1 = nn.BatchNorm2d(self.conv1.out_channels)\n        self.bn2 = nn.BatchNorm2d(self.conv2.out_channels)\n        self.fc1 = nn.Linear(8 * 8 * 50, 500)\n        self.fc2 = nn.Linear(500, 10)\n\n    def forward(self, x):\n        x = F.relu(self.bn1(self.conv1(x)))\n        # x = F.max_pool2d(x, 2, 2)\n        x = F.relu(self.bn2(self.conv2(x)))\n        # x = F.max_pool2d(x, 2, 2)\n        x = x.view(x.size(0), -1)\n\n        x = F.relu(self.fc1(x))\n        x = self.fc2(x)\n        return x\n\n\ndummy_input = torch.randn(2, 1, 28, 28)\nSPARSITY = 0.5\nMODEL_FILE, MASK_FILE = './11_model.pth', './l1_mask.pth'\n\n\ndef prune_model_l1(model):\n    config_list = [{\n        'sparsity': SPARSITY,\n        'op_types': ['Conv2d']\n    }]\n    pruner = L1FilterPruner(model, config_list)\n    pruner.compress()\n    pruner.export_model(model_path=MODEL_FILE, mask_path=MASK_FILE)\n\n\ndef generate_random_sparsity(model):\n    cfg_list = []\n    for name, module in model.named_modules():\n        if isinstance(module, nn.Conv2d):\n            sparsity = np.random.uniform(0.5, 0.99)\n            cfg_list.append({'op_types': ['Conv2d'], 'op_names': [name],\n                             'sparsity': sparsity})\n    return cfg_list\n\ndef generate_random_sparsity_v2(model):\n    \"\"\"\n    Only select 50% layers to prune.\n    \"\"\"\n    cfg_list = []\n    for name, module in model.named_modules():\n        if isinstance(module, nn.Conv2d):\n            if np.random.uniform(0, 1.0) > 0.5:\n                sparsity = np.random.uniform(0.5, 0.99)\n                cfg_list.append({'op_types': ['Conv2d'], 'op_names': [name],\n                             'sparsity': sparsity})\n    return cfg_list\n\ndef zero_bn_bias(model):\n    with torch.no_grad():\n        for name, module in model.named_modules():\n            if isinstance(module, nn.BatchNorm2d) \\\n                    or isinstance(module, nn.BatchNorm3d) \\\n                    or isinstance(module, nn.BatchNorm1d):\n                shape = module.bias.data.size()\n                device = module.bias.device\n                module.bias.data = torch.zeros(shape).to(device)\n                shape = module.running_mean.data.size()\n                module.running_mean = torch.zeros(shape).to(device)\n\n\nclass L1ChannelMasker(WeightMasker):\n    def __init__(self, model, pruner):\n        self.model = model\n        self.pruner = pruner\n\n    def calc_mask(self, sparsity, wrapper, wrapper_idx=None):\n        msg = 'module type {} is not supported!'.format(wrapper.type)\n        #assert wrapper.type == 'Conv2d', msg\n        weight = wrapper.module.weight.data\n        bias = None\n        if hasattr(wrapper.module, 'bias') and wrapper.module.bias is not None:\n            bias = wrapper.module.bias.data\n\n        if wrapper.weight_mask is None:\n            mask_weight = torch.ones(weight.size()).type_as(weight).detach()\n        else:\n            mask_weight = wrapper.weight_mask.clone()\n        if bias is not None:\n            if wrapper.bias_mask is None:\n                mask_bias = torch.ones(bias.size()).type_as(bias).detach()\n            else:\n                mask_bias = wrapper.bias_mask.clone()\n        else:\n            mask_bias = None\n        base_mask = {'weight_mask': mask_weight, 'bias_mask': mask_bias}\n\n        num_total = weight.size(1)\n        num_prune = int(num_total * sparsity)\n\n        if num_total < 2 or num_prune < 1:\n            return base_mask\n        w_abs = weight.abs()\n        if wrapper.type == 'Conv2d':\n            w_abs_structured = w_abs.sum((0, 2, 3))\n            threshold = torch.topk(\n                w_abs_structured, num_prune, largest=False)[0].max()\n            mask_weight = torch.gt(w_abs_structured, threshold)[\n                None, :, None, None].expand_as(weight).type_as(weight)\n            return {'weight_mask': mask_weight.detach()}\n        else:\n            # Linear\n            assert wrapper.type == 'Linear'\n            w_abs_structured = w_abs.sum((0))\n            threshold = torch.topk(\n                w_abs_structured, num_prune, largest=False)[0].max()\n            mask_weight = torch.gt(w_abs_structured, threshold)[\n                None, :].expand_as(weight).type_as(weight)\n            return {'weight_mask': mask_weight.detach(), 'bias_mask': mask_bias}\n\n\nclass L1ChannelPruner(_StructuredFilterPruner):\n    def __init__(self, model, config_list, optimizer=None, dependency_aware=False, dummy_input=None):\n        super().__init__(model, config_list, pruning_algorithm='l1', optimizer=optimizer,\n                         dependency_aware=dependency_aware, dummy_input=dummy_input)\n\n    def validate_config(self, model, config_list):\n        pass\n\n\ndef channel_prune(model):\n    config_list = [{\n        'sparsity': SPARSITY,\n        'op_types': ['Conv2d', 'Linear']\n    }, {\n        'op_names': ['conv1'],\n        'exclude': True\n    }]\n\n    pruner = L1ChannelPruner(model, config_list)\n    masker = L1ChannelMasker(model, pruner)\n    pruner.masker = masker\n    pruner.compress()\n    pruner.export_model(model_path=MODEL_FILE, mask_path=MASK_FILE)\n\n\nclass SpeedupTestCase(TestCase):\n    def test_speedup_vgg16(self):\n        prune_model_l1(vgg16())\n        model = vgg16()\n        model.train()\n        ms = ModelSpeedup(model, torch.randn(2, 3, 32, 32), masks_file=MASK_FILE)\n        ms.speedup_model()\n\n        orig_model = vgg16()\n        assert model.training\n        assert model.features[2].out_channels == int(\n            orig_model.features[2].out_channels * SPARSITY)\n        assert model.classifier[0].in_features == int(\n            orig_model.classifier[0].in_features * SPARSITY)\n\n    def test_speedup_bigmodel(self):\n        prune_model_l1(BigModel())\n        model = BigModel()\n        apply_compression_results(model, masks_file=MASK_FILE, map_location='cpu')\n        model.eval()\n        mask_out = model(dummy_input)\n\n        model.train()\n        ms = ModelSpeedup(model, dummy_input, masks_file=MASK_FILE)\n        ms.speedup_model()\n        assert model.training\n\n        model.eval()\n        speedup_out = model(dummy_input)\n        if not torch.allclose(mask_out, speedup_out, atol=1e-07):\n            print('input:', dummy_input.size(),\n                  torch.abs(dummy_input).sum((2, 3)))\n            print('mask_out:', mask_out)\n            print('speedup_out:', speedup_out)\n            raise RuntimeError('model speedup inference result is incorrect!')\n\n        orig_model = BigModel()\n\n        assert model.backbone2.conv1.out_channels == int(\n            orig_model.backbone2.conv1.out_channels * SPARSITY)\n        assert model.backbone2.conv2.in_channels == int(\n            orig_model.backbone2.conv2.in_channels * SPARSITY)\n        assert model.backbone2.conv2.out_channels == int(\n            orig_model.backbone2.conv2.out_channels * SPARSITY)\n        assert model.backbone2.fc1.in_features == int(\n            orig_model.backbone2.fc1.in_features * SPARSITY)\n\n    def test_convtranspose_model(self):\n        ori_model = TransposeModel()\n        dummy_input = torch.rand(1, 3, 8, 8)\n        config_list = [{'sparsity': 0.5, 'op_types': ['Conv2d']}]\n        pruner = L1FilterPruner(ori_model, config_list)\n        pruner.compress()\n        ori_model(dummy_input)\n        pruner.export_model(MODEL_FILE, MASK_FILE)\n        pruner._unwrap_model()\n        new_model = TransposeModel()\n        state_dict = torch.load(MODEL_FILE)\n        new_model.load_state_dict(state_dict)\n        ms = ModelSpeedup(new_model, dummy_input, masks_file=MASK_FILE)\n        ms.speedup_model()\n        zero_bn_bias(ori_model)\n        zero_bn_bias(new_model)\n        ori_out = ori_model(dummy_input)\n        new_out = new_model(dummy_input)\n        ori_sum = torch.sum(ori_out)\n        speeded_sum = torch.sum(new_out)\n        print('Tanspose Speedup Test: ori_sum={} speedup_sum={}'.format(ori_sum, speeded_sum))\n        assert (abs(ori_sum - speeded_sum) / abs(ori_sum) < RELATIVE_THRESHOLD) or \\\n                (abs(ori_sum - speeded_sum) < ABSOLUTE_THRESHOLD)\n\n    # FIXME: This test case might fail randomly, no idea why\n    # Example: https://msrasrg.visualstudio.com/NNIOpenSource/_build/results?buildId=16282\n\n    def test_speedup_integration(self):\n        # skip this test on windows(7GB mem available) due to memory limit\n        # Note: hack trick, may be updated in the future\n        if 'win' in sys.platform or 'Win'in sys.platform:\n            print('Skip test_speedup_integration on windows due to memory limit!')\n            return\n\n        Gen_cfg_funcs = [generate_random_sparsity, generate_random_sparsity_v2]\n\n        for model_name in ['resnet18', 'mobilenet_v2', 'squeezenet1_1', 'densenet121' , 'densenet169', \n                           # 'inception_v3' inception is too large and may fail the pipeline\n                            'resnet50']:\n                            \n            for gen_cfg_func in Gen_cfg_funcs:\n                kwargs = {\n                    'pretrained': True\n                }\n                if model_name == 'resnet50':\n                    # testing multiple groups\n                    kwargs = {\n                        'pretrained': False,\n                        'groups': 4\n                    }\n                Model = getattr(models, model_name)\n                net = Model(**kwargs).to(device)\n                speedup_model = Model(**kwargs).to(device)\n                net.eval()  # this line is necessary\n                speedup_model.eval()\n                # random generate the prune config for the pruner\n                cfgs = gen_cfg_func(net)\n                print(\"Testing {} with compression config \\n {}\".format(model_name, cfgs))\n                pruner = L1FilterPruner(net, cfgs)\n                pruner.compress()\n                pruner.export_model(MODEL_FILE, MASK_FILE)\n                pruner._unwrap_model()\n                state_dict = torch.load(MODEL_FILE)\n                speedup_model.load_state_dict(state_dict)\n                zero_bn_bias(net)\n                zero_bn_bias(speedup_model)\n\n                data = torch.ones(BATCH_SIZE, 3, 128, 128).to(device)\n                ms = ModelSpeedup(speedup_model, data, masks_file=MASK_FILE)\n                ms.speedup_model()\n\n                speedup_model.eval()\n\n                ori_out = net(data)\n                speeded_out = speedup_model(data)\n                ori_sum = torch.sum(ori_out).item()\n                speeded_sum = torch.sum(speeded_out).item()\n                print('Sum of the output of %s (before speedup):' %\n                    model_name, ori_sum)\n                print('Sum of the output of %s (after speedup):' %\n                    model_name, speeded_sum)\n                assert (abs(ori_sum - speeded_sum) / abs(ori_sum) < RELATIVE_THRESHOLD) or \\\n                    (abs(ori_sum - speeded_sum) < ABSOLUTE_THRESHOLD)\n\n\n    def test_channel_prune(self):\n        orig_net = resnet18(num_classes=10).to(device)\n        channel_prune(orig_net)\n        state_dict = torch.load(MODEL_FILE)\n\n        orig_net = resnet18(num_classes=10).to(device)\n        orig_net.load_state_dict(state_dict)\n        apply_compression_results(orig_net, masks_file=MASK_FILE)\n        orig_net.eval()\n\n        net = resnet18(num_classes=10).to(device)\n\n        net.load_state_dict(state_dict)\n        net.eval()\n\n        data = torch.randn(BATCH_SIZE, 3, 128, 128).to(device)\n        ms = ModelSpeedup(net, data, masks_file=MASK_FILE)\n        ms.speedup_model()\n        ms.bound_model(data)\n\n        net.eval()\n\n        ori_sum = orig_net(data).abs().sum().item()\n        speeded_sum = net(data).abs().sum().item()\n\n        print(ori_sum, speeded_sum)\n        assert (abs(ori_sum - speeded_sum) / abs(ori_sum) < RELATIVE_THRESHOLD) or \\\n            (abs(ori_sum - speeded_sum) < ABSOLUTE_THRESHOLD)\n\n    def tearDown(self):\n        if os.path.exists(MODEL_FILE):\n            os.remove(MODEL_FILE)\n        if os.path.exists(MASK_FILE):\n            os.remove(MASK_FILE)\n\n\nif __name__ == '__main__':\n    main()\n"
  },
  {
    "path": "tests/data/config/test_read.json",
    "content": "{\"a\": 1}"
  },
  {
    "path": "tests/data/config/test_wrong.json",
    "content": "[1, 2, 3]"
  },
  {
    "path": "tests/data/exp4.json",
    "content": "{\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"script\": \"to_delete.py\"\n}"
  },
  {
    "path": "tests/data/exp4_no_name.json",
    "content": "{\n  \"parameter_config\": [\n    {\n      \"name_wrong\": \"x\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    }\n  ]\n}"
  },
  {
    "path": "tests/data/exp4_no_param.json",
    "content": "{\n  \"parameter_config_wrong\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    }\n  ]\n}"
  },
  {
    "path": "tests/data/exp4_no_script.json",
    "content": "{\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    }\n  ]\n}"
  },
  {
    "path": "tests/data/exp5.json",
    "content": "{\n  \"name\": \"test_exp\",\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"script\": \"EE/test_Job.py\",\n  \"resource\": \"cpu\",\n  \"proposer\": \"random\",\n  \"n_samples\": 10,\n  \"target\": \"max\",\n  \"workingdir\": \"tests\",\n  \"name\": \"test\"\n}"
  },
  {
    "path": "tests/data/exp6.json",
    "content": "{\n  \"parameter_config\": [\n    {\n      \"name\": \"x\",\n      \"range\": [\n        0,\n        10\n      ],\n      \"type\": \"float\"\n    }\n  ],\n  \"script\": \"data/test_script.py\",\n  \"resource\": \"cpu\",\n  \"proposer\": \"random\",\n  \"n_samples\": 20,\n  \"target\": \"max\",\n  \"workingdir\": \"tests\",\n  \"name\": \"test\",\n  \"random_seed\": 0,\n  \"job_failure\": {\n    \"ignore_fail\": true,\n    \"job_retries\": 3\n  }\n}\n"
  },
  {
    "path": "tests/data/exp7.json",
    "content": "{\n    \"name\": \"PyTorch MNIST FPGM Pruner\",\n    \"script\": \"data/task7.py\",\n    \"resource\": \"cpu\",\n    \"compression\": {\n        \"framework\": \"torch\",\n        \"type\": \"pruning\",\n        \"compressor\": \"fpgm\",\n        \"config_list\": [{\n                \"sparsity\": {\n                    \"range\": [0.1, 0.9],\n                    \"type\": \"float\"\n                },\n                \"op_types\": [\"Conv2d\"]\n            }\n        ]\n    },\n    \"target\": \"max\",\n    \"proposer\": \"random\",\n    \"n_samples\": 1,\n    \"n_parallel\": 1,\n    \"workingdir\": \"tests\"\n}\n  "
  },
  {
    "path": "tests/data/gpus.txt",
    "content": "0\n1\n2"
  },
  {
    "path": "tests/data/nodes.txt",
    "content": "test@localhost\ntest@localhost"
  },
  {
    "path": "tests/data/plain_env.ini",
    "content": "[Auptimizer]\n# Auptimizer environment folder to be created, this file will be copied over\nAuptimizer_PATH=./.aup\n# Temp folder\nTMP_FOLDER=./aup_tmp\n# SQL engine\nSQL_ENGINE=sqlite\n"
  },
  {
    "path": "tests/data/target_gpu_env.ini",
    "content": "[Auptimizer]\nAuptimizer_PATH = ./.aup\nTMP_FOLDER = ./aup_tmp\nSQL_ENGINE = sqlite\ngpu_mapping = {\"1\": \"0\", \"2\": \"1\", \"3\": \"2\"}\nSQLITE_FILE = ./.aup/sqlite3.db\n\n"
  },
  {
    "path": "tests/data/target_plain_env.ini",
    "content": "[Auptimizer]\nAuptimizer_PATH = ./.aup\nTMP_FOLDER = ./aup_tmp\nSQL_ENGINE = sqlite\nSQLITE_FILE = ./.aup/sqlite3.db\n\n"
  },
  {
    "path": "tests/data/task1.py",
    "content": "#!/usr/bin/env python\n\n# to fail this script for testing\nx\n"
  },
  {
    "path": "tests/data/task2.py",
    "content": "#!/usr/bin/env python\n\n# to fail this script for testing\nprint(1.0)\n"
  },
  {
    "path": "tests/data/task3.py",
    "content": "#!/usr/bin/env python\n\n# to fail this script for testing\nraise Exception()\n"
  },
  {
    "path": "tests/data/task4.py",
    "content": "def function(x):\n    return x * x\n"
  },
  {
    "path": "tests/data/task5.py",
    "content": "#!/usr/bin/env python3\n\nimport sys\nfrom aup import aup_args, print_result\nfrom time import sleep\n\ndef init(**kwargs):\n  global var\n\n  var = kwargs[\"x\"]\n\n@aup_args\ndef iteration(x):\n  global var\n\n  sleep(1)\n\n  for _ in range(5):\n    var += 1\n    print_result(var)\n\n  var += 1\n  return var\n\niteration(sys.argv[1])\n"
  },
  {
    "path": "tests/data/task6.py",
    "content": "#!/usr/bin/env python3\n\nimport sys\nimport os\nfrom aup import aup_args, aup_save_model\n\n\n@aup_args\ndef iteration(x):\n  aup_save_model(user_def_fn, x)\n  return x\n\ndef user_def_fn(x):\n  os.makedirs(str(x))\n\niteration(sys.argv[1])\n"
  },
  {
    "path": "tests/data/task7.py",
    "content": "#!/usr/bin/env python3\n\nfrom __future__ import print_function\nimport argparse\nimport sys\nimport time\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import StepLR\n\nimport aup\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super(Net, self).__init__()\n        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n        self.dropout1 = nn.Dropout2d(0.25)\n        self.dropout2 = nn.Dropout2d(0.5)\n        self.fc1 = nn.Linear(9216, 128)\n        self.fc2 = nn.Linear(128, 10)\n\n    def forward(self, x):\n        x = self.conv1(x)\n        x = F.relu(x)\n        x = self.conv2(x)\n        x = F.relu(x)\n        x = F.max_pool2d(x, 2)\n        x = self.dropout1(x)\n        x = torch.flatten(x, 1)\n        x = self.fc1(x)\n        x = F.relu(x)\n        x = self.dropout2(x)\n        x = self.fc2(x)\n        output = F.log_softmax(x, dim=1)\n        return output\n\n\ndef train(args, model, device, train_loader, optimizer, epoch):\n    model.train()\n    for batch_idx, (data, target) in enumerate(train_loader):\n        data, target = data.to(device), target.to(device)\n        optimizer.zero_grad()\n        output = model(data)\n        loss = F.nll_loss(output, target)\n        loss.backward()\n        optimizer.step()\n        if batch_idx % args.log_interval == 0:\n            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n                epoch, batch_idx * len(data), len(train_loader.dataset),\n                100. * batch_idx / len(train_loader), loss.item()))\n            if args.dry_run:\n                break\n\n\ndef test(model, device, test_loader):\n    model.eval()\n    test_loss = 0\n    correct = 0\n    with torch.no_grad():\n        for data, target in test_loader:\n            data, target = data.to(device), target.to(device)\n            output = model(data)\n            test_loss += F.nll_loss(output, target, reduction='sum').item()  # sum up batch loss\n            pred = output.argmax(dim=1, keepdim=True)  # get the index of the max log-probability\n            correct += pred.eq(target.view_as(pred)).sum().item()\n\n    test_loss /= len(test_loader.dataset)\n\n    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n        test_loss, correct, len(test_loader.dataset),\n        100. * correct / len(test_loader.dataset)))\n    \n    return test_loss, correct / len(test_loader.dataset)\n\n\ndef main(config):\n    # Training settings\n    parser = argparse.ArgumentParser(description='PyTorch MNIST Example')\n    parser.add_argument('--batch-size', type=int, default=64, metavar='N',\n                        help='input batch size for training (default: 64)')\n    parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',\n                        help='input batch size for testing (default: 1000)')\n    parser.add_argument('--epochs', type=int, default=1, metavar='N',\n                        help='number of epochs to train (default: 14)')\n    parser.add_argument('--lr', type=float, default=1.0, metavar='LR',\n                        help='learning rate (default: 1.0)')\n    parser.add_argument('--gamma', type=float, default=0.7, metavar='M',\n                        help='Learning rate step gamma (default: 0.7)')\n    parser.add_argument('--no-cuda', action='store_true', default=False,\n                        help='disables CUDA training')\n    parser.add_argument('--dry-run', action='store_true', default=False,\n                        help='quickly check a single pass')\n    parser.add_argument('--seed', type=int, default=1, metavar='S',\n                        help='random seed (default: 1)')\n    parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n                        help='how many batches to wait before logging training status')\n    args, _ = parser.parse_known_args()\n\n    use_cuda = not args.no_cuda and torch.cuda.is_available()\n\n    torch.manual_seed(args.seed)\n\n    device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n\n    kwargs = {'batch_size': args.batch_size}\n    if use_cuda:\n        kwargs.update({'num_workers': 1,\n                       'pin_memory': True,\n                       'shuffle': True},\n                     )\n\n    transform = transforms.Compose([\n        transforms.ToTensor(),\n        transforms.Normalize((0.1307,), (0.3081,))\n    ])\n    dataset1 = datasets.MNIST('/tmp/torch_mnist_data', train=True, download=True, transform=transform)\n    dataset2 = datasets.MNIST('/tmp/torch_mnist_data', train=False, transform=transform)\n    train_loader = torch.utils.data.DataLoader(dataset1, **kwargs)\n    test_loader = torch.utils.data.DataLoader(dataset2, **kwargs)\n\n    model = Net().to(device)\n    optimizer = optim.Adadelta(model.parameters(), lr=args.lr)\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    _, test_acc = test(model, device, test_loader)\n\n    compressor = aup.compression.create_compressor(model, config, optimizer=optimizer)\n    model = compressor.compress()\n\n    scheduler = StepLR(optimizer, step_size=1, gamma=args.gamma)\n    for epoch in range(1, args.epochs + 1):\n        train(args, model, device, train_loader, optimizer, epoch)\n        _, test_acc = test(model, device, test_loader)\n        scheduler.step()\n\n    model = compressor.apply_speedup(dummy_input=torch.randn(1, 1, 28, 28).to(device))\n    flops, _, _ = compressor.count_flops_params((1, 1, 28, 28))\n    flops = int(flops)\n    print(\"test_acc={} flops={}\".format(test_acc, flops))\n\n    compressor.export_model(\n        model_path=\"mnist_compressed.pth\",\n        save_best_only=True,\n        speedup=True,\n        **config)\n\n    aup.print_result((test_acc - 1.) / np.log(flops))\n\n\nif __name__ == '__main__':\n    config = aup.BasicConfig().load(sys.argv[1])\n    main(config)\n"
  },
  {
    "path": "tests/data/task8.py",
    "content": "#!/usr/bin/env python3\n\nimport sys\nfrom aup import aup_args\nfrom time import sleep\n\ndef init(**kwargs):\n  global var\n\n  var = kwargs[\"x\"]\n\n@aup_args\ndef iteration(x):\n  global var\n\n  var += 1\n  sleep(1)\n  return [var, var+1, var+2]\n\niteration(sys.argv[1])"
  },
  {
    "path": "tests/data/test_script.py",
    "content": "#!/usr/bin/env python\n\n\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\n\nimport random\n\n\nRUNS = 0\n\ndef func(x):\n    global RUNS\n    RUNS += 1\n    if RUNS % 5 == 0:\n        raise SystemError\n    return x**2\n\ndef aup_wrapper(config):\n    res = func(x=config['x']) \n    print_result(res)\n\nif __name__ == \"__main__\":\n    import sys\n    from aup import BasicConfig, print_result\n    if len(sys.argv) != 2:\n        print(\"config file required\")\n        exit(1)\n    config = BasicConfig().load(sys.argv[1])\n    aup_wrapper(config)\n"
  },
  {
    "path": "tests/data/wrapper1.json",
    "content": "{\n    \"x\":1,\n    \"b\":2\n}"
  },
  {
    "path": "tests/data/wrapper2.json",
    "content": "{\n    \"x\":1,\n    \"b\":2\n}\n"
  },
  {
    "path": "tests/dlconvert/.gitignore",
    "content": "*.out\n"
  },
  {
    "path": "tests/dlconvert/Dockerfile_tf1",
    "content": "FROM tensorflow/tensorflow:1.15.0-py3\n\nWORKDIR /tf\nRUN apt-get update && apt-get install -y git\n\n# For onnx2keras compatibility issue\nENV TF_KERAS=1  \nENV TF_CPP_MIN_LOG_LEVEL=3\n\nCOPY Examples/dlconvert_examples/dlconvert_requirements.txt /tf/\nCOPY requirements.txt /tf/\n\nRUN pip install -r dlconvert_requirements.txt\nRUN pip install -r requirements.txt\n\nCOPY src/aup /tf/src/aup\nCOPY tests/dlconvert /tf/tests/dlconvert\nCOPY setup.py README.md /tf/\nRUN cd /tf/ && python setup.py -q install\nRUN cd /tf/tests/dlconvert/data && ./prepare_docker.sh\n\nVOLUME /tf/htmlcov\n\nCMD coverage run --source dlconvert -m pytest tests; coverage html"
  },
  {
    "path": "tests/dlconvert/Dockerfile_tf2",
    "content": "FROM tensorflow/tensorflow:2.3.0\n\nWORKDIR /tf\nRUN apt-get update && apt-get install -y git\n\n# For onnx2keras compatibility issue\nENV TF_KERAS=1  \nENV TF_CPP_MIN_LOG_LEVEL=3\n\nCOPY Examples/dlconvert_examples/dlconvert_requirements.txt /tf/\nCOPY requirements.txt /tf/\n\nRUN pip install -r dlconvert_requirements.txt\nRUN pip install -r requirements.txt\n\nCOPY src/aup /tf/src/aup\nCOPY tests/dlconvert /tf/tests/dlconvert\nCOPY setup.py README.md /tf/\nRUN cd /tf/ && python setup.py -q install\nRUN cd /tf/tests/dlconvert/data && ./prepare_docker.sh\n\nVOLUME /tf/htmlcov\n\nCMD coverage run --source dlconvert -m pytest tests; coverage html"
  },
  {
    "path": "tests/dlconvert/README.md",
    "content": "## Tests\n### Prerequisits\nThe tests require `Docker` environment to run. \n\n### Full Unittest\nUse `./unittest_tf1.sh` or `./unittest_tf2.sh` to run test in Tensorflow 1.15 or Tensorflow 2.3 environments respectively. In each environment, two sets of tests are run, each with or without eager execution mode. Note that some conversions only work under eager execution mode while some only work under non-eager execution mode. \n\nAfter running the unit tests, the results will be summarized in the files `test_summary_tf1.out` and `test_summary_tf2.out`.\n\n"
  },
  {
    "path": "tests/dlconvert/__init__.py",
    "content": ""
  },
  {
    "path": "tests/dlconvert/data/.gitignore",
    "content": "test_savedmodel/\ntest_model.pb\ntest_model.h5\ntest_model_ckpt\ntest_model.onnx\ntest_model.pt\n\n"
  },
  {
    "path": "tests/dlconvert/data/create_test_model.py",
    "content": "#!/usr/bin/env python\n\nimport numpy as np\n\n\n\ndef create_tf():\n    import tensorflow as tf\n    from tensorflow import keras\n    from tensorflow.keras import layers\n    from tensorflow.python.util import deprecation\n    deprecation._PRINT_DEPRECATION_WARNINGS = False\n    tf.compat.v1.disable_eager_execution()\n    a = layers.Input(shape=(224,224,3), name=\"input\")\n    b = layers.Conv2D(kernel_size=(3,3), filters=16, activation=\"relu\")(a)\n    b = layers.MaxPool2D(pool_size=(5,5))(b)\n    b = layers.Conv2D(kernel_size=(3,3), filters=64, activation=\"relu\")(b)\n    b = layers.Flatten()(b)\n    b = layers.Dense(10, activation='softmax', name=\"output\")(b)\n    model = keras.Model(inputs=a, outputs=b)\n\n    model.compile(optimizer='sgd', loss='categorical_crossentropy')\n    # save TF checkpoint\n    model.save_weights(\"./test_model_ckpt/ckpt\")\n    tf.compat.v1.train.export_meta_graph(filename=\"./test_model_ckpt/ckpt.meta\")\n    # save keras model\n    model.save(\"./test_model.h5\")\n    # save TF savedmodel\n    model.save(\"./test_savedmodel\", save_format='tf')\n\n    print(model.input)\n    print(model.output)\n\ndef create_pytorch():\n    import torch\n    from pytorch_model import Net\n\n    x = torch.randn(1, 3, 224, 224)\n    m = Net()\n    y = m(x)\n    m.eval()\n    torch.save(m, 'test_model.pt')\n\n\nif __name__ == \"__main__\":\n    create_tf()\n    create_pytorch()\n"
  },
  {
    "path": "tests/dlconvert/data/evaluate_pred.py",
    "content": "from absl import flags, app\n\nimport numpy as np\nfrom os import path\nimport hashlib\n\nflags.DEFINE_string(\"model\", \"test_model.tflite\", 'model path')\nflags.DEFINE_integer(\"seed\", \"123\", \"random seed\")\nFLAGS = flags.FLAGS\n\n\ndef run_lite():\n    import tflite_runtime.interpreter as tflite\n    intp = tflite.Interpreter(FLAGS.model)\n    intp.allocate_tensors()\n    input_idx = intp.get_input_details()[0]['index']\n    intp.set_tensor(input_idx, np.random.random(size=(1,224,224,3)).astype(np.float32))\n    intp.invoke()\n    output_idx = intp.get_output_details()[0]['index']\n    y = intp.get_tensor(output_idx)\n    res = \",\".join(\"%.5f\"%i for i in y[0])\n    print(res)\n    print(hashlib.sha256(res.encode()).hexdigest()[:5])\n    \n\ndef run_onnx():\n    pass\n\ndef main(unused):\n    np.random.seed(FLAGS.seed)\n    if 'lite' in FLAGS.model.split(\".\")[-1]:\n        run_lite()\n    else:\n        run_onnx()\n\n\nif __name__ == \"__main__\":\n    app.run(main)"
  },
  {
    "path": "tests/dlconvert/data/flag_names.json",
    "content": "[\"model\",\"output\",\"i\",\"o\",\"frozen\",\"output_nodes\",\"input_nodes\",\"net\",\"net_name\",\"input_shape\"]"
  },
  {
    "path": "tests/dlconvert/data/prepare.sh",
    "content": "#!/bin/bash\n#  Copyright (c) 2018 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\nset -e\n\ncd tests/dlconvert/data\n\nrm -rf test_model_ckpt test_savedmodel test_model.h5 test_model.pb\n\n./create_test_model.py\n\npython3 -m aup.dlconvert.keras_to_pb -i test_model.h5 -o test_model.pb --frozen --output_nodes output/Softmax\npython3 -m aup.dlconvert.keras_to_onnx -i test_model.h5 -o test_model.onnx\n\ncd ../../.."
  },
  {
    "path": "tests/dlconvert/data/prepare_docker.sh",
    "content": "#!/bin/bash\n#  Copyright (c) 2018 LG Electronics Inc.\n#  SPDX-License-Identifier: GPL-3.0-or-later\n\nset -e\n\nrm -rf test_model_ckpt test_savedmodel test_model.h5 test_model.pb\n\n./create_test_model.py\n\npython3 -m aup.dlconvert.keras_to_pb -i test_model.h5 -o test_model.pb --frozen --output_nodes output/Softmax\npython3 -m aup.dlconvert.keras_to_onnx -i test_model.h5 -o test_model.onnx"
  },
  {
    "path": "tests/dlconvert/data/pytorch_model.py",
    "content": "import torch.nn as nn\nimport torch.nn.functional as F\n\n\nclass Net(nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.conv1 = nn.Conv2d(3, 16, 3)  # 222*222*16\n        self.conv2 = nn.Conv2d(16, 64, 3)  # 42*42*64\n        self.fc = nn.Linear(42 * 42 * 64, 10)\n\n    def forward(self, x):\n        x = F.max_pool2d(F.relu(self.conv1(x)), 5)\n        x = F.relu(self.conv2(x))\n        x = x.view(-1, 42 * 42 * 64)\n        x = F.softmax(self.fc(x), dim=1)\n        return x\n\n"
  },
  {
    "path": "tests/dlconvert/data/repdata.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\nCreate a synthetic tf.dataset for testing\n\"\"\"\nimport numpy as np\n\n\ndef get_dataset():\n    labels = np.random.randint(0,10, size=10).astype(np.float)\n    imgs = np.random.random(size=(10, 224, 224, 3))\n    \n    class Dataset:\n        def __init__(self, data):\n            self.data = data\n        \n        def numpy(self):\n            return self.data[np.newaxis,:]\n\n\n    for i in range(10):\n        yield Dataset(imgs[i]), Dataset(labels[i])\n        "
  },
  {
    "path": "tests/dlconvert/dlconvert_requirements.txt",
    "content": "keras2onnx==1.7.0\ntf2onnx\npytest\npytest-cov\ntorch\npytorch2keras\ntensorflow==2.4.0\nonnx"
  },
  {
    "path": "tests/dlconvert/pytest.ini",
    "content": "[pytest]\nfilterwarnings =\n    ignore:the imp module is deprecated in favour of importlib:DeprecationWarning\n    ignore:numpy.* changed:RuntimeWarning"
  },
  {
    "path": "tests/dlconvert/test_checkpoint_to_onnx.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nimport sys\nfrom absl import flags\nfrom os import path, remove\nfrom six import PY2\n\nimport json\nfrom tensorflow import __version__  # pylint: disable=no-name-in-module\nfrom tensorflow.python.util import deprecation\ndeprecation._PRINT_DEPRECATION_WARNINGS = False\n\n@unittest.skipIf(PY2, \"model conversion does not support python2.x\")\nclass CheckpointToOnnxTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model_ckpt/ckpt.meta\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.onnx\")\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS, name)\n        from aup.dlconvert import checkpoint_to_onnx\n        cls.c2o = checkpoint_to_onnx\n\n    def test_conversion(self):\n        flags.FLAGS(['checkpoint_to_onnx.py','-i=%s' % self.model,'-o=%s' % self.output,\n                     \"--input_nodes=input:0\",\"--output_nodes=output/Softmax:0\"])\n        self.c2o._main(None)\n\n    def tearDown(self):\n        if path.isfile(self.output):\n            remove(self.output)\n"
  },
  {
    "path": "tests/dlconvert/test_checkpoint_to_pb.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nfrom six import PY2\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n@unittest.skipIf(PY2 or tf2test, \"skip for tf2 environment with eager mode testing\")\nclass CheckpointToPBTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model_ckpt/ckpt.meta\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.pb\")\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import checkpoint_to_pb\n        cls.c2p = checkpoint_to_pb\n        return super().setUpClass()\n\n    def test_conversion(self):\n        flags.FLAGS(['checkpoint_to_pb.py','-i=%s' % self.model,'-o=%s' % self.output, '--nofrozen'])\n        self.c2p._main(None)\n\n    def test_frozen(self):\n        flags.FLAGS(['checkpoint_to_pb.py','-i=%s' % self.model,'-o=%s' %\n                     self.output, '--frozen', '--output_nodes=output/Softmax'])\n        self.c2p._main(None)\n\n    def tearDown(self):\n        if path.isfile(self.output):\n            remove(self.output)\n"
  },
  {
    "path": "tests/dlconvert/test_checkpoint_to_tflite.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nfrom tensorflow import __version__\nfrom six import PY2\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n@unittest.skipIf(PY2 or tf2test, \"skip for tf2 environment with eager mode testing\")\nclass CheckpointToPBTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model_ckpt/ckpt.meta\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.tflite\")\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import checkpoint_to_tflite\n        cls.c2t = checkpoint_to_tflite\n        return super().setUpClass()\n\n    def test_conversion(self):\n        flags.FLAGS(['checkpoint_to_tflite.py','-i=%s' % self.model,'-o=%s' % self.output,\n                     '--input_nodes=input:0', '--output_nodes=output/Softmax:0'])\n        self.c2t._main(None)\n\n    def tearDown(self):\n        if path.isfile(self.output):\n            remove(self.output)\n"
  },
  {
    "path": "tests/dlconvert/test_keras_to_onnx.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove\nimport json\nfrom six import PY2\nfrom tensorflow import __version__ # pylint: disable=no-name-in-module\n\n@unittest.skipIf(PY2, \"model conversion does not support python2.x\")\nclass KerasToOnnxTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model.h5\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.onnx\")\n    \n    def test_conversion(self):\n        flags.FLAGS(['keras_to_onnx.py','-i=%s'%self.model,'-o=%s'%self.output])\n        self.k2o._main(None)\n\n    def tearDown(self):\n        if path.isfile(self.output):\n            remove(self.output)\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import keras_to_onnx\n        from aup.dlconvert import to_onnx\n        import importlib\n        importlib.reload(to_onnx)\n        cls.k2o = keras_to_onnx\n        return super().setUpClass()"
  },
  {
    "path": "tests/dlconvert/test_keras_to_pb.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nfrom six import PY2\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n\n@unittest.skipIf(PY2 or tf2test, \"skip testing for tf2 environment with eager mode\")\nclass KerasToPBTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model.h5\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.pb\")\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import keras_to_pb\n        cls.k2p = keras_to_pb\n        return super().setUpClass()\n\n    def test_conversion(self):\n        flags.FLAGS(['keras_to_pb.py','-i=%s'%self.model,'-o=%s'%self.output, '--nofrozen'])\n        self.k2p._main(None)\n\n    def test_frozen(self):\n        flags.FLAGS(['keras_to_pb.py','-i=%s'%self.model,'-o=%s'%self.output, '--frozen'])\n        self.k2p._main(None)\n\n    def tearDown(self):\n        if path.isfile(self.output):\n            remove(self.output)\n\n"
  },
  {
    "path": "tests/dlconvert/test_keras_to_tflite.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nimport warnings\nimport tensorflow as tf\nfrom six import PY2\nfrom tensorflow import __version__ # pylint: disable=no-name-in-module\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n@unittest.skipIf(PY2 or not tf2test, \"Skip for TF2 no eager mode testing.  Use TF2TEST variable to activate tests.\")\nclass KerasToTFLiteTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model.h5\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.tflite\")\n    default = [\"keras_to_tflite\", \"--model=%s\" % model, \"-o=%s\"%output]\n\n    def test_conversion_plain(self):\n        if __version__[0] == \"2\" and not tf.executing_eagerly():\n            warnings.warn(\"TF2.0 not in eager mode, cannot test.\")\n            return\n        flags.FLAGS(self.default)\n        self.k2t._main(None)\n\n    def test_conversion_tf16(self):\n        if __version__[0] == \"2\" and not tf.executing_eagerly():\n            warnings.warn(\"TF2.0 not in eager mode, cannot test.\")\n            return\n        command = self.default.copy()\n        command.extend([\"--opt=default\", \"--type=float16\"])\n        flags.FLAGS(command)\n        self.k2t._main(None)\n\n    def test_conversion_uint(self):\n        if __version__[0] == \"2\" and not tf.executing_eagerly():\n            warnings.warn(\"TF2.0 not in eager mode, cannot test.\")\n            return\n        command = self.default.copy()\n        command.extend([\"--opt=default\", \"--type=uint8\", \"--ops=tflite\"])\n        flags.FLAGS(command)\n        self.k2t._main(None)\n\n    def test_conversion_int8(self):\n        if __version__[0] == \"2\" and not tf.executing_eagerly():\n            warnings.warn(\"TF2.0 not in eager mode, cannot test.\")\n            return\n        command = self.default.copy()\n        command.extend([\"--opt=default\",\"--type=int8\", \"--ops=tflite\", \n                        \"--load=%s\"%path.join(\"tests\", \"dlconvert\", \"data\", \"repdata.py\")])\n        \n        flags.FLAGS(command)\n        self.k2t._main(None)\n\n    def tearDown(self):\n        flags.FLAGS.unparse_flags()  # https://github.com/abseil/abseil-py/issues/36\n        if path.isfile(self.output):\n            remove(self.output)\n    \n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import keras_to_tflite\n        cls.k2t = keras_to_tflite\n        return super().setUpClass()"
  },
  {
    "path": "tests/dlconvert/test_pb_to_onnx.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove\nimport json\nfrom six import PY2\nfrom tensorflow import __version__ # pylint: disable=no-name-in-module\n\n@unittest.skipIf(PY2, \"model conversion does not support python2.x\")\nclass PBToOnnxTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model.pb\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.onnx\")\n\n    @classmethod\n    def setUpClass(cls):\n        from aup.dlconvert import to_onnx # reload inner package\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import pb_to_onnx\n        \n        import importlib\n        importlib.reload(to_onnx)\n        cls.p2o = pb_to_onnx\n        return super().setUpClass()\n\n    def test_conversion(self):\n        flags.FLAGS(['pb_to_onnx.py','-i=%s'%self.model,'-o=%s'%self.output, \"--input_nodes=input:0\",\"--output_nodes=output/Softmax:0\"])\n        self.p2o._main(None)\n\n\n    def tearDown(self):\n        if path.isfile(self.output):\n            remove(self.output)\n"
  },
  {
    "path": "tests/dlconvert/test_pb_to_tflite.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nimport warnings\nimport tensorflow as tf\nfrom six import PY2\nfrom tensorflow import __version__ # pylint: disable=no-name-in-module\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n@unittest.skipIf(PY2 or tf2test, \"Skip for TF2 eager mode testing.  Unset TF2TEST variable to activate tests.\")\nclass PBToTFLiteTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model.pb\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.tflite\")\n    default = [\"pb_to_tflite\", \"--model=%s\" % model, \"-o=%s\"%output,\n               \"--input_nodes=input:0\", \"--output_nodes=output/Softmax:0\"]\n\n    def test_conversion_plain(self):\n        flags.FLAGS(self.default)\n        self.p2t._main(None)\n\n    def test_conversion_tf16(self):\n        command = self.default.copy()\n        command.extend([\"--opt=default\",\"--type=float16\"])\n        flags.FLAGS(command)\n        self.p2t._main(None)\n\n    def test_conversion_uint(self):\n        command = self.default.copy()\n        command.extend([\"--opt=default\",\"--type=uint8\", \"--ops=tflite\"])\n        flags.FLAGS(command)\n        self.p2t._main(None)\n\n    def test_conversion_int8(self):\n        command = self.default.copy()\n        command.extend([\"--opt=default\",\"--type=int8\", \"--ops=tflite\", \n                        \"--load=%s\"%path.join(\"tests\", \"dlconvert\", \"data\", \"repdata.py\")])\n        \n        flags.FLAGS(command)\n        self.p2t._main(None)\n\n    def tearDown(self):\n        flags.FLAGS.unparse_flags()  # https://github.com/abseil/abseil-py/issues/36\n        if path.isfile(self.output):\n            remove(self.output)\n    \n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS, name)\n        from aup.dlconvert import pb_to_tflite\n        from aup.dlconvert import to_tflite\n        import importlib\n        importlib.reload(pb_to_tflite)\n        importlib.reload(to_tflite)\n        cls.p2t = pb_to_tflite\n        return super().setUpClass()\n"
  },
  {
    "path": "tests/dlconvert/test_pytorch_to_keras.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nfrom six import PY2\nfrom tensorflow import __version__ # pylint: disable=no-name-in-module\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n@unittest.skipIf(PY2, \"model conversion does not support python2.x\")\nclass PytorchToKerasTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model.pt\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.h5\")\n    default = [\"pytorch_to_keras.py\", \"--model=%s\" % model, \"-o=%s\"%output]\n    \n    # @unittest.skipIf(__version__[0] == \"1\" and tf2test, \"TF v1.x doesn't work with TF eager mode in testing\")\n    @unittest.skipIf(__version__[0] == \"1\", \"test does not pass with TF v1.x\")\n    def test_conversion(self):\n        command = self.default.copy()\n        command.extend([\"--net=%s\"%path.join(\"tests\", \"dlconvert\", \"data\",\"pytorch_model.py\"),\n                        \"--net_name=Net\",\n                        \"--input_shape=1,3,224,224\"])\n        flags.FLAGS(command)\n        self.p2k._main(None)\n\n    def tearDown(self):\n        flags.FLAGS.unparse_flags()  # https://github.com/abseil/abseil-py/issues/36\n        if path.isfile(self.output):\n            remove(self.output)\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import pytorch_to_keras\n        cls.p2k = pytorch_to_keras\n        return super().setUpClass()"
  },
  {
    "path": "tests/dlconvert/test_pytorch_to_onnx.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nfrom six import PY2\n\n@unittest.skipIf(PY2, \"model conversion does not support python2.x\")\nclass PytorchToONNXTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model.pt\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.onnx\")\n    default = [\"pytorch_to_onnx.py\", \"--model=%s\" % model, \"-o=%s\"%output]\n    \n    def test_conversion(self):\n        command = self.default.copy()\n        command.extend([\"--net=%s\"%path.join(\"tests\", \"dlconvert\", \"data\",\"pytorch_model.py\"),\n                        \"--net_name=Net\",\n                        \"--input_shape=1,3,224,224\"])\n        flags.FLAGS(command)\n        self.p2o._main(None)\n\n    def tearDown(self):\n        flags.FLAGS.unparse_flags()  # https://github.com/abseil/abseil-py/issues/36\n        if path.isfile(self.output):\n            remove(self.output)\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import pytorch_to_onnx\n        cls.p2o = pytorch_to_onnx\n        return super().setUpClass()"
  },
  {
    "path": "tests/dlconvert/test_pytorch_to_tflite.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nfrom six import PY2\nfrom tensorflow import __version__ # pylint: disable=no-name-in-module\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n@unittest.skipIf(PY2 or __version__[0] == \"2\" and not tf2test, \"Skip for TF2 no eager mode testing.  Use TF2TEST variable to activate tests.\")\nclass PytorchToKerasTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_model.pt\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.tflite\")\n    default = [\"pytorch_to_tflite.py\", \"--model=%s\" % model, \"-o=%s\"%output]\n    \n    # @unittest.skipIf(__version__[0] == \"1\" and tf2test, \"TF v1.x doesn't work with TF eager mode in testing\")\n    @unittest.skipIf(__version__[0] == \"1\", \"test does not pass with TF v1.x\")\n    def test_conversion(self):\n        command = self.default.copy()\n        command.extend([\"--net=%s\"%path.join(\"tests\", \"dlconvert\", \"data\",\"pytorch_model.py\"),\n                        \"--net_name=Net\",\n                        \"--input_shape=1,3,224,224\"])\n        flags.FLAGS(command)\n        self.p2t._main(None)\n\n    def tearDown(self):\n        flags.FLAGS.unparse_flags()  # https://github.com/abseil/abseil-py/issues/36\n        if path.isfile(self.output):\n            remove(self.output)\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import pytorch_to_tflite\n        from aup.dlconvert import to_tflite\n        import importlib\n        importlib.reload(to_tflite)\n        cls.p2t = pytorch_to_tflite\n        return super().setUpClass()"
  },
  {
    "path": "tests/dlconvert/test_savedmodel_to_onnx.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nimport tensorflow as tf\nfrom tensorflow import __version__ # pylint: disable=no-name-in-module\nimport warnings\nfrom six import PY2\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n@unittest.skipIf(PY2 or not tf2test, \"Skip for TF2 no eager mode testing.  Use TF2TEST variable to activate tests.\")\nclass SavedModelToOnnxTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_savedmodel\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.onnx\")\n    \n    @unittest.skipIf(__version__[0] == \"1\", \"not supported in tf1.15, tf2.x is fine\")\n    def test_conversion(self):\n        if __version__[0] == \"2\" and not tf.executing_eagerly():\n            warnings.warn(\"TF2.0 not in eager mode, cannot test.\")\n            return\n        flags.FLAGS(['savedmodel_to_onnx.py','-i=%s'%self.model,'-o=%s'%self.output])\n        self.s2o._main(None)\n\n    def tearDown(self):\n        if path.isfile(self.output):\n            remove(self.output)\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import savedmodel_to_onnx\n        from aup.dlconvert import to_onnx\n        import importlib\n        importlib.reload(to_onnx)\n        cls.s2o = savedmodel_to_onnx\n        return super().setUpClass()\n"
  },
  {
    "path": "tests/dlconvert/test_savedmodel_to_tflite.py",
    "content": "\"\"\"\n..\n  Copyright (c) 2018 LG Electronics Inc.\n  SPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom absl import flags\nfrom os import path, remove, environ\nimport json\nimport tensorflow as tf\nfrom tensorflow import __version__ # pylint: disable=no-name-in-module\nimport warnings\nfrom six import PY2\n\ntf2test = False\nif \"TF2TEST\" in environ and environ[\"TF2TEST\"]:\n    tf2test = True\n\n@unittest.skipIf(PY2 or not tf2test, \"Skip for TF2 no eager mode testing.  Use TF2TEST variable to activate tests.\")\nclass SavedModelToTFLiteTestCase(unittest.TestCase):\n    model = path.join(path.dirname(path.abspath(__file__)), \"data\", \"test_savedmodel\")\n    output = path.join(path.dirname(path.abspath(__file__)), \"tmp.tflite\")\n    default = [\"savedmodel_to_tflite\", \"--model=%s\" % model, \"-o=%s\"%output]\n    \n    @unittest.skipIf(__version__[0] == \"1\", \"IdentityN is not supported in tf1.15, tf2.x is fine\")\n    def test_conversion_plain(self):\n        if __version__[0] == \"2\" and not tf.executing_eagerly():\n            warnings.warn(\"TF2.0 not in eager mode, cannot test.\")\n            return\n        flags.FLAGS(self.default)\n        self.s2t._main(None)\n\n    def tearDown(self):\n        flags.FLAGS.unparse_flags()  # https://github.com/abseil/abseil-py/issues/36\n        if path.isfile(self.output):\n            remove(self.output)\n\n    @classmethod\n    def setUpClass(cls):\n        names = json.load(open(path.join(path.dirname(path.abspath(__file__)), \"data\", \"flag_names.json\")))\n        for name in names:\n            if name in list(flags.FLAGS):\n                delattr(flags.FLAGS,name)\n        from aup.dlconvert import savedmodel_to_tflite\n        from aup.dlconvert import to_tflite\n        import importlib\n        importlib.reload(to_tflite)\n        cls.s2t = savedmodel_to_tflite\n        return super().setUpClass()\n"
  },
  {
    "path": "tests/dlconvert/unittest_tf1.sh",
    "content": "#!/bin/bash\nset -e\n\nBLUE='\\033[1;34m'\nNC='\\033[0m' # No Color\n\necho \"\" > test_summary_tf1.out\n\ndocker build -t conv_tf1 -f Dockerfile_tf1 ../..\necho -e \"${BLUE}#### Test conv_tf1 with eager execution ####${NC}\"\ndocker run --rm -e TF2TEST=1 conv_tf1 | tee -a test_summary_tf1.out\n\necho -e \"${BLUE}#### Test conv_tf1 without eager execution ####${NC}\"\ndocker run --rm -e TF2TEST= conv_tf1 | tee -a test_summary_tf1.out"
  },
  {
    "path": "tests/dlconvert/unittest_tf2.sh",
    "content": "#!/bin/bash\nset -e\n\nBLUE='\\033[1;34m'\nNC='\\033[0m' # No Color\n\necho \"\" > test_summary_tf2.out\n\ndocker build -t conv_tf2 -f Dockerfile_tf2 ../..\necho -e \"${BLUE}#### Test conv_tf2 with eager execution ####${NC}\"\ndocker run --rm -e TF2TEST=1 conv_tf2 | tee -a test_summary_tf2.out\n\necho -e \"${BLUE}#### Test conv_tf2 without eager execution ####${NC}\"\ndocker run --rm -e TF2TEST= conv_tf2 | tee -a test_summary_tf2.out\n"
  },
  {
    "path": "tests/setupdb/__init__.py",
    "content": ""
  },
  {
    "path": "tests/setupdb/test_sqlite.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom aup.setupdb import sqlite\n\nfrom six.moves.configparser import ConfigParser\n\n\nclass SQLITETestCase(unittest.TestCase):\n    config = ConfigParser()\n\n    def test_createDB(self):\n        self.assertRaises(Exception, sqlite.create_database, self.config, ['test'], 4, 'test')\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/test_BasicConfig.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\n\nimport json\nimport os\nimport pickle\n\nfrom aup import BasicConfig\n\n\nclass BasicConfigTestCase(unittest.TestCase):\n    json_read = os.path.join(\"tests\", \"data\", \"config\", \"test_read.json\")\n    pkl_read = os.path.join(\"tests\", \"data\", \"config\", \"test_read.pkl\")\n    wrong_read = os.path.join(\"tests\", \"data\", \"config\", \"test_wrong.json\")\n    json_write = os.path.join(\"tests\", \"test_write.json\")\n    pkl_write = os.path.join(\"tests\", \"test_write.pkl\")\n\n    d = {\"a\": 1}\n\n    @classmethod\n    def setUpClass(cls):\n        with open(cls.json_read, 'w') as f:\n            json.dump(cls.d, f)\n        with open(cls.pkl_read, 'wb') as f:\n            pickle.dump(cls.d, f)\n        with open(cls.wrong_read, 'w') as f:\n            json.dump([1,2,3], f)\n\n    @classmethod\n    def tearDownClass(cls):\n        os.remove(cls.json_write)\n        os.remove(cls.pkl_write)\n        os.remove(cls.pkl_read)\n\n    def test_access(self):\n        data = BasicConfig(**self.d)\n        del data.a\n        self.assertFalse('a' in data)\n\n    def test_compare(self):\n        data = BasicConfig(**self.d)\n        self.assertTrue(data == self.d)\n\n    def test_init(self):\n        data = BasicConfig(**self.d)\n        self.assertDictEqual(data, self.d)\n\n        data = BasicConfig(a=1)\n        self.assertDictEqual(data, self.d)\n\n        self.assertRaises(ValueError, data.load, \"wrong.data\")\n\n    def test_json(self):\n        data = BasicConfig()\n        data.load(self.json_read)\n        self.assertDictEqual(self.d, data)\n\n        data[\"b\"] = 2\n        data.c = 3\n        data.save(self.json_write)\n\n        data = BasicConfig().load(self.json_write)\n        self.assertEqual(data.b, 2)\n        self.assertEqual(data[\"c\"], 3)\n\n    def test_pkl(self):\n        data = BasicConfig()\n        data.load(self.pkl_read)\n        self.assertDictEqual(self.d, data)\n\n        data[\"b\"] = 2\n        data.c = 3\n        data.save(self.pkl_write)\n\n        data = BasicConfig().load(self.pkl_write)\n        self.assertEqual(data.b, 2)\n        self.assertEqual(data[\"c\"], 3)\n\n    def test_type(self):\n        data = BasicConfig()\n        self.assertRaises(TypeError, data.load, self.wrong_read)\n\n    def test_hash(self):\n        a = {\"a\": 1}\n        b = BasicConfig(a=1)\n        self.assertDictEqual(a, b)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/test_utils.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nimport os\nimport sys\nfrom six import StringIO\nfrom aup import utils\nimport tempfile\n\n\nclass UtilTestCase(unittest.TestCase):\n    def test_check_missing_key(self):\n        config = {\"a\": \"b\"}\n        self.assertRaises(KeyError, utils.check_missing_key, config, \"missing\", \"test\")\n\n    def test_get_default_connector(self):\n        folder = tempfile.mkdtemp()\n        env_file = os.path.join(folder, \"env.ini\")\n        with open(env_file, 'w') as f:\n            f.write(\"[Auptimizer]\\n\")\n        self.assertRaises(KeyError, utils.get_default_connector, folder)\n        with open(env_file, 'w') as f:\n            f.write(\"[Auptimizer]\\nSQL_ENGINE = wrong\")\n        self.assertRaises(KeyError, utils.get_default_connector, folder)\n        with open(env_file, 'w') as f:\n            f.write(\"[Auptimizer]\\nSQL_ENGINE = sqlite\")\n        self.assertRaises(KeyError, utils.get_default_connector, folder)\n        os.remove(env_file)\n        os.rmdir(folder)\n\n    def test_default_username(self):\n        if \"USER\" in os.environ:\n            username = os.environ[\"USER\"]\n            u = utils.get_default_username()\n            self.assertEqual(u, username)\n\n            del os.environ[\"USER\"]\n            u = utils.get_default_username()\n            self.assertEqual(u, \"default\")\n            os.environ[\"USER\"] = username\n        else:\n            u = utils.get_default_username()\n            self.assertEqual(u, \"default\")\n            os.environ[\"USER\"] = \"test\"\n            u = utils.get_default_username()\n            self.assertEqual(\"test\", u)\n            del os.environ[\"USER\"]\n\n        u = utils.get_default_username(username=\"new\")\n        self.assertEqual(\"new\", u)\n\n    def test_load_default_env(self):\n        folder = tempfile.mkdtemp()\n        if os.path.isdir(os.path.join(os.path.expanduser(\"~\"), \".aup\")):\n            self.assertRaises(ValueError, utils.load_default_env, folder, use_default=False)\n            self.assertIsInstance(utils.load_default_env(folder), dict)\n        else:\n            self.assertRaises(Exception, utils.load_default_env, folder)\n\n    def test_parse_result(self):\n        self.assertEqual(0.1, utils.parse_result(\"#Auptimizer:0.1\"))\n        self.assertEqual([0.1, 0.2], utils.parse_result(\"#Auptimizer:0.1,0.2\"))\n        self.assertRaises(ValueError, utils.parse_result, \"no aup result\")\n\n    def test_print_result(self):\n        tmp_out = sys.stderr\n        sys.stderr = StringIO()\n\n        utils.print_result(\"0.1\")\n        v = sys.stderr.getvalue()\n        self.assertEqual(v.strip(), \"#Auptimizer:0.1\")\n        sys.stderr = tmp_out\n\n    def test_set_default_keyvalue(self):\n        d = {}\n        nd = utils.set_default_keyvalue(\"a\", \"b\", d, inplace=False)\n        self.assertDictEqual(nd, {\"a\": \"b\"})\n        self.assertDictEqual(d, {})\n        utils.set_default_keyvalue(\"a\", \"c\", d, inplace=True)\n        self.assertDictEqual(d, {\"a\": \"c\"})\n        utils.set_default_keyvalue(\"a\", \"c\", nd, inplace=True)\n        self.assertDictEqual(nd, {\"a\": \"b\"})\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "tests/test_wrapper.py",
    "content": "\"\"\"\nCopyright (c) 2018 LG Electronics Inc.\nSPDX-License-Identifier: GPL-3.0-or-later\n\"\"\"\nimport unittest\nfrom six import PY2\nfrom os import path\nfrom aup import aup_args\n\n@unittest.skipIf(PY2, \"Wrapper supports Python3 only.\")\nclass WrapperTestCase(unittest.TestCase):\n    file1 = path.join(\"tests\", \"data\", \"wrapper1.json\")\n    file2 = path.join(\"tests\", \"data\", \"wrapper2.json\")\n\n    def testOK(self):\n        global var\n\n        var = 0\n\n        @aup_args\n        def test1a(x):\n            return x\n        test1a(self.file1)\n\n        self.assertEqual(var, 1)\n\n        @aup_args\n        def test1b(x,a=1):\n            return x+a\n        test1b(self.file1)\n\n        self.assertEqual(var, 2)\n\n    def test_extra_arg(self):\n        @aup_args\n        def test2(x,y):\n            return x+y\n        self.assertRaises(ValueError, test2, self.file1)\n\n    def test_interm_iter(self):\n        global var\n\n        var = 0\n        @aup_args\n        def iteration(x, b):\n            global var\n            for _ in range(6):\n                var += 1\n\n            return var\n\n        iteration(self.file2)\n        self.assertEqual(var, 7)\n\n# check that this is called before\n# each \"aup_args annotated\" function call\n# because it contains \"init\" in its name\ndef test_init(**kwargs):\n    global var\n    var += 1\n"
  }
]